diff --git a/.gitignore b/.gitignore
index ee5f51a..2f295e9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -146,4 +146,6 @@ cython_debug/
 /output
 
 # Pycache
-*.pyc
\ No newline at end of file
+*.pyc
+# AgentOps session artifacts
+.agents/
diff --git a/drillholes-demo/app.py b/drillholes-demo/app.py
new file mode 100644
index 0000000..4b5ec83
--- /dev/null
+++ b/drillholes-demo/app.py
@@ -0,0 +1,116 @@
+import dash
+from dash import dcc, html, Input, Output, callback, clientside_callback
+import dash_mantine_components as dmc
+
+from pages import cross_section, downhole_logs, comparison, explorer, block_model
+from utils import create_header, create_nav_sidebar, NAV_ITEMS
+import callbacks.cross_section  # noqa: F401 — registers callbacks
+import callbacks.downhole       # noqa: F401
+import callbacks.comparison     # noqa: F401
+import callbacks.block_model   # noqa: F401
+# Explorer page is fully driven by assets/explorer.js — no Python callbacks.
+
+app = dash.Dash(
+    __name__,
+    meta_tags=[{"name": "viewport", "content": "width=device-width, initial-scale=1"}],
+    external_stylesheets=dmc.styles.ALL,
+    suppress_callback_exceptions=True,
+)
+app.title = "Drillhole Visualizer — WA Au-Cu Porphyry"
+server = app.server
+
+app.layout = dmc.MantineProvider(
+    id="mantine-provider",
+    forceColorScheme="light",
+    children=[
+        dcc.Location(id="url", refresh=False),
+        dcc.Store(id="measure-store"),
+        dmc.AppShell(
+            [
+                dmc.AppShellHeader(create_header(), withBorder=True),
+                dmc.AppShellMain(
+                    html.Div(
+                        [
+                            create_nav_sidebar(),
+                            dmc.Container(id="page-content", fluid=True, p="md", className="main-content"),
+                        ],
+                        className="main-layout",
+                    ),
+                ),
+            ],
+            header={"height": 60},
+            padding=0,
+        ),
+    ],
+)
+
+clientside_callback(
+    """
+    function(n_clicks) {
+        if (n_clicks === undefined || n_clicks === null) {
+            var nu = window.dash_clientside.no_update;
+            return [nu, nu, nu, nu, nu, nu, nu, nu];
+        }
+        var collapsed = (n_clicks % 2) !== 0;
+        if (collapsed) {
+            return [
+                "filter-sidebar collapsed",
+                "pad-0 justify-center",
+                "basil:caret-right-solid",
+                {"display": "none"},
+                null,
+                {"display": "none"},
+                {"display": "none"},
+                {"display": "none"}
+            ];
+        }
+        return [
+            "filter-sidebar",
+            "title-pad space-between",
+            "charm:cross",
+            null,
+            {"display": "none"},
+            null,
+            null,
+            null
+        ];
+    }
+    """,
+    Output("filter-sidebar", "className"),
+    Output("sidebar-title-div", "className"),
+    Output("sidebar-btn-icon", "icon"),
+    Output("sidebar-title", "style"),
+    Output("sidebar-collapsed-title-div", "style"),
+    Output("sidebar-outer-div", "style"),
+    Output("sidebar-inner-div", "style"),
+    Output("sidebar-btn-div", "style"),
+    Input("sidebar-btn", "n_clicks"),
+)
+
+
+@callback(Output("page-content", "children"), Input("url", "pathname"))
+def display_page(pathname):
+    if pathname == "/downhole-logs":
+        return downhole_logs.layout()
+    elif pathname == "/comparison":
+        return comparison.layout()
+    elif pathname == "/explorer":
+        return explorer.layout()
+    elif pathname == "/block-model":
+        return block_model.layout()
+    else:
+        return cross_section.layout()
+
+
+@callback(
+    [Output(item["id"], "active") for item in NAV_ITEMS],
+    Input("url", "pathname"),
+)
+def update_nav_active(pathname):
+    path = pathname or "/"
+    return [item["href"] == path for item in NAV_ITEMS]
+
+
+if __name__ == "__main__":
+    app.run(debug=True, port=8051)
+
diff --git a/drillholes-demo/assets/explorer.js b/drillholes-demo/assets/explorer.js
new file mode 100644
index 0000000..4fbfa75
--- /dev/null
+++ b/drillholes-demo/assets/explorer.js
@@ -0,0 +1,588 @@
+/*
+ * Drill-Hole Cross-Section Explorer — port of the CodePen of the same name.
+ *
+ * The CodePen renders into a single #chart div with raw Plotly.js. Dash
+ * unmounts/remounts the page on every SPA route change, so we wrap the
+ * codepen body in a MutationObserver-driven init() that re-binds whenever
+ * the #explorer-chart div appears in the DOM. assets/*.js loads on every
+ * Dash page; the early-out at the top of init() makes this a no-op when
+ * the explorer page isn't mounted.
+ */
+(function () {
+  var initialized = false;
+  var retryTimer = null;
+
+  function scheduleRetry() {
+    if (retryTimer) return;
+    retryTimer = setTimeout(function () {
+      retryTimer = null;
+      init();
+    }, 100);
+  }
+
+  function init() {
+    var gd = document.getElementById("explorer-chart");
+    if (!gd) {
+      initialized = false;
+      return;
+    }
+    if (initialized) return;
+    // Dash 4 lazy-loads Plotly.js when a dcc.Graph mounts. Poll until it's
+    // available rather than bailing once.
+    if (!window.Plotly) {
+      scheduleRetry();
+      return;
+    }
+    initialized = true;
+
+    /* ===== begin verbatim CodePen JS ===== */
+    var holeNames = ["DH-001", "DH-002", "DH-003", "DH-004"];
+    var holeColors = ["#2563eb", "#16a34a", "#d97706", "#9333ea"];
+    var yAxes = ["y", "y2", "y3", "y4"];
+    var xAxes = ["x", "x2", "x3", "x4"];
+    var domainXs = [
+      [0.05, 0.22],
+      [0.3, 0.47],
+      [0.55, 0.72],
+      [0.8, 0.97],
+    ];
+
+    function makeLog(seed, nPoints) {
+      var depths = [],
+        values = [];
+      var v = 30 + seed * 5;
+      for (var i = 0; i <= nPoints; i++) {
+        var d = i * (100 / nPoints);
+        depths.push(d);
+        v +=
+          Math.sin(d * 0.12 + seed) * 3 +
+          Math.cos(d * 0.07 - seed * 2) * 2 +
+          (Math.random() - 0.5) * 4;
+        v = Math.max(5, Math.min(95, v));
+        if (d > 35 + seed * 3 && d < 70 - seed * 2) v += 15;
+        values.push(v);
+      }
+      return { depths: depths, values: values };
+    }
+
+    var units = [
+      {
+        name: "Overburden",
+        tops: [0, 0, 0, 0],
+        bots: [10, 8, 13, 9],
+        fill: "rgba(139,90,43,0.22)",
+        line: "rgba(139,90,43,0.7)",
+      },
+      {
+        name: "Upper Sandstone",
+        tops: [10, 8, 13, 9],
+        bots: [28, 25, 30, 26],
+        fill: "rgba(194,178,128,0.22)",
+        line: "rgba(194,178,128,0.7)",
+      },
+      {
+        name: "Ore Zone",
+        tops: [28, 25, 30, 26],
+        bots: [68, 64, 72, 66],
+        fill: "rgba(220,50,50,0.18)",
+        line: "rgba(220,50,50,0.7)",
+      },
+      {
+        name: "Lower Shale",
+        tops: [68, 64, 72, 66],
+        bots: [85, 82, 88, 84],
+        fill: "rgba(80,120,80,0.18)",
+        line: "rgba(80,120,80,0.7)",
+      },
+      {
+        name: "Basement Gneiss",
+        tops: [85, 82, 88, 84],
+        bots: [100, 100, 100, 100],
+        fill: "rgba(100,100,160,0.18)",
+        line: "rgba(100,100,160,0.7)",
+      },
+    ];
+
+    var traces = [];
+    for (var h = 0; h < 4; h++) {
+      var log = makeLog(h, 80);
+      var c = holeColors[h];
+      var r = parseInt(c.slice(1, 3), 16),
+        g = parseInt(c.slice(3, 5), 16),
+        b = parseInt(c.slice(5, 7), 16);
+      traces.push({
+        x: log.values,
+        y: log.depths,
+        xaxis: xAxes[h],
+        yaxis: yAxes[h],
+        type: "scatter",
+        mode: "lines",
+        name: holeNames[h],
+        line: { color: c, width: 1.5 },
+        fill: "tozerox",
+        fillcolor: "rgba(" + r + "," + g + "," + b + ",0.18)",
+        hoverinfo: "none",
+      });
+    }
+
+    var baseShapes = [];
+
+    units.forEach(function (u) {
+      for (var i = 0; i < 3; i++) {
+        baseShapes.push({
+          type: "path",
+          xref: "paper",
+          yref: [yAxes[i], yAxes[i + 1], yAxes[i + 1], yAxes[i]],
+          path:
+            "M " +
+            domainXs[i][1] +
+            " " +
+            u.tops[i] +
+            " L " +
+            domainXs[i + 1][0] +
+            " " +
+            u.tops[i + 1] +
+            " L " +
+            domainXs[i + 1][0] +
+            " " +
+            u.bots[i + 1] +
+            " L " +
+            domainXs[i][1] +
+            " " +
+            u.bots[i] +
+            " Z",
+          fillcolor: u.fill,
+          line: { color: u.line, width: 1 },
+        });
+      }
+    });
+
+    for (var hh = 0; hh < 4; hh++) {
+      baseShapes.push({
+        type: "rect",
+        xref: xAxes[hh],
+        yref: yAxes[hh],
+        x0: 0,
+        x1: 100,
+        y0: units[2].tops[hh],
+        y1: units[2].bots[hh],
+        fillcolor: "rgba(220,50,50,0.10)",
+        line: { width: 0 },
+        layer: "below",
+      });
+    }
+
+    var depthRange = [105, -5];
+    var valRange = [0, 100];
+
+    function yAxisCfg(extra) {
+      return Object.assign(
+        {
+          range: depthRange,
+          gridcolor: "#ecedf0",
+          zerolinecolor: "#e2e4e9",
+          linecolor: "#d1d5db",
+          tickfont: { color: "#6b7280", size: 9 },
+        },
+        extra || {}
+      );
+    }
+
+    function xAxisCfg(domain, anchor, title) {
+      return {
+        domain: domain,
+        anchor: anchor,
+        range: valRange,
+        gridcolor: "#ecedf0",
+        zerolinecolor: "#e2e4e9",
+        linecolor: "#d1d5db",
+        tickfont: { color: "#6b7280", size: 9 },
+        title: {
+          text: title,
+          font: { size: 11, color: "#4b5563" },
+          standoff: 6,
+        },
+      };
+    }
+
+    var layout = {
+      paper_bgcolor: "#fff",
+      plot_bgcolor: "#fafbfc",
+      font: { color: "#1e2028" },
+      margin: { l: 55, r: 16, t: 44, b: 44 },
+      showlegend: true,
+      legend: {
+        x: 0.5,
+        y: 1.07,
+        xanchor: "center",
+        orientation: "h",
+        bgcolor: "rgba(255,255,255,0)",
+        font: { color: "#4b5563", size: 11 },
+      },
+
+      hoveranywhere: true,
+      clickanywhere: true,
+      hovermode: "closest",
+
+      shapes: baseShapes.slice(),
+
+      yaxis: yAxisCfg({
+        domain: [0, 1],
+        anchor: "x",
+        title: {
+          text: "Depth (m)",
+          font: { size: 11, color: "#4b5563" },
+          standoff: 6,
+        },
+      }),
+      yaxis2: yAxisCfg({
+        domain: [0, 1],
+        anchor: "x2",
+        title: {
+          text: "Depth (m)",
+          font: { size: 11, color: "#4b5563" },
+          standoff: 6,
+        },
+      }),
+      yaxis3: yAxisCfg({
+        domain: [0, 1],
+        anchor: "x3",
+        title: {
+          text: "Depth (m)",
+          font: { size: 11, color: "#4b5563" },
+          standoff: 6,
+        },
+      }),
+      yaxis4: yAxisCfg({
+        domain: [0, 1],
+        anchor: "x4",
+        title: {
+          text: "Depth (m)",
+          font: { size: 11, color: "#4b5563" },
+          standoff: 6,
+        },
+      }),
+
+      xaxis: xAxisCfg(domainXs[0], "y", "DH-001"),
+      xaxis2: xAxisCfg(domainXs[1], "y2", "DH-002"),
+      xaxis3: xAxisCfg(domainXs[2], "y3", "DH-003"),
+      xaxis4: xAxisCfg(domainXs[3], "y4", "DH-004"),
+
+      annotations: [],
+    };
+
+    var clicks = [];
+
+    function dot(xa, ya, xval, depth) {
+      var axObj =
+        gd._fullLayout[ya === "y" ? "yaxis" : "yaxis" + ya.slice(1)];
+      var xAxObj =
+        gd._fullLayout[xa === "x" ? "xaxis" : "xaxis" + xa.slice(1)];
+      var px = 4;
+      var rx =
+        (px * (xAxObj.range[1] - xAxObj.range[0])) / (xAxObj._length || 1);
+      var ry =
+        (px * (axObj.range[1] - axObj.range[0])) / (axObj._length || 1);
+      return {
+        type: "circle",
+        xref: xa,
+        yref: ya,
+        x0: xval - rx,
+        x1: xval + rx,
+        y0: depth - ry,
+        y1: depth + ry,
+        fillcolor: "rgba(220,38,38,0.5)",
+        line: { color: "#dc2626", width: 1.5 },
+      };
+    }
+
+    function getClickInfo(data) {
+      var depth, xval, holeIdx;
+      if (data.points && data.points.length > 0) {
+        var pt = data.points[0];
+        depth = pt.y;
+        xval = pt.x;
+        var traceXa = pt.data.xaxis || "x";
+        holeIdx =
+          traceXa === "x" ? 0 : parseInt(traceXa.replace("x", "")) - 1;
+      } else if (data.yvals && data.yvals.length > 0) {
+        depth = data.yvals[0];
+        xval = data.xvals ? data.xvals[0] : 50;
+        if (data.xaxes && data.xaxes.length > 0) {
+          var axId = data.xaxes[0]._id || "";
+          holeIdx = axId === "x" ? 0 : parseInt(axId.replace("x", "")) - 1;
+        }
+      }
+      if (depth !== undefined && holeIdx !== undefined) {
+        return { depth: depth, xval: xval, holeIdx: holeIdx };
+      }
+      return null;
+    }
+
+    Plotly.newPlot(gd, traces, layout, {
+      responsive: true,
+      displayModeBar: true,
+      modeBarButtonsToRemove: ["lasso2d", "select2d"],
+      displaylogo: false,
+    }).then(function () {
+      gd.on("plotly_hover", function (d) {
+        var gs = gd._fullLayout._size;
+        var layer = gd._fullLayout._hoverlayer;
+
+        layer.selectAll(".pseudo-spike").remove();
+
+        var yPos = d.event.offsetY;
+
+        layer
+          .insert("line", ":first-child")
+          .attr({
+            x1: gs.l,
+            x2: gs.l + gs.w,
+            y1: yPos,
+            y2: yPos,
+            "stroke-width": 1,
+            stroke: "rgba(100,100,100,0.4)",
+            "stroke-dasharray": "4,3",
+          })
+          .classed("pseudo-spike", true);
+
+        var depthVal = d.yvals
+          ? d.yvals[0]
+          : d.points && d.points.length > 0
+          ? d.points[0].y
+          : null;
+        if (depthVal !== null) {
+          layer
+            .append("rect")
+            .attr({
+              x: gs.l - 52,
+              y: yPos - 9,
+              width: 48,
+              height: 18,
+              rx: 3,
+              fill: "#4b5563",
+            })
+            .classed("pseudo-spike", true);
+          layer
+            .append("text")
+            .attr({
+              x: gs.l - 48,
+              y: yPos + 4,
+              fill: "white",
+              "font-size": "10px",
+              "font-family": "Inter, Segoe UI, system-ui, sans-serif",
+            })
+            .text(depthVal.toFixed(1) + " m")
+            .classed("pseudo-spike", true);
+        }
+
+        if (d.points && d.points.length > 0) {
+          var pt = d.points[0];
+          var tc = pt.data.line.color;
+          var xax = pt.xaxis;
+          var yax = pt.yaxis;
+
+          var mkX =
+            xax._offset +
+            ((pt.x - xax.range[0]) / (xax.range[1] - xax.range[0])) *
+              xax._length;
+          var mkY =
+            yax._offset +
+            ((pt.y - yax.range[1]) / (yax.range[0] - yax.range[1])) *
+              yax._length;
+
+          layer
+            .append("circle")
+            .attr({
+              cx: mkX,
+              cy: mkY,
+              r: 4.5,
+              fill: tc,
+              stroke: "white",
+              "stroke-width": 2,
+            })
+            .classed("pseudo-spike", true);
+
+          var yStr = pt.y.toFixed(1) + " m";
+          var lblW = yStr.length * 6.5 + 18;
+          var lblH = 20;
+          var gap = 10;
+          var lx = mkX + gap;
+          if (lx + lblW > gs.l + gs.w) lx = mkX - lblW - gap;
+          var ly = mkY - lblH / 2;
+
+          layer
+            .append("rect")
+            .attr({ x: lx, y: ly, width: lblW, height: lblH, rx: 10, fill: tc })
+            .classed("pseudo-spike", true);
+
+          layer
+            .append("text")
+            .attr({
+              x: lx + lblW / 2,
+              y: ly + 13,
+              fill: "white",
+              "font-size": "10.5px",
+              "font-family": "Inter, Segoe UI, system-ui, sans-serif",
+              "font-weight": "600",
+              "text-anchor": "middle",
+            })
+            .text(yStr)
+            .classed("pseudo-spike", true);
+        }
+
+        var depth, holeName, xval;
+        if (d.points && d.points.length > 0) {
+          var pt2 = d.points[0];
+          depth = pt2.y;
+          xval = pt2.x;
+          holeName = pt2.data.name;
+        } else if (d.yvals && d.yvals.length > 0) {
+          depth = d.yvals[0];
+          xval = d.xvals ? d.xvals[0] : null;
+          if (d.xaxes && d.xaxes.length > 0) {
+            var axId = d.xaxes[0]._id || "";
+            var hIdx = axId === "x" ? 0 : parseInt(axId.replace("x", "")) - 1;
+            holeName = holeNames[hIdx] || "--";
+          }
+        }
+        if (depth !== undefined) {
+          var depthEl = document.getElementById("cursor-depth");
+          var holeEl = document.getElementById("cursor-hole");
+          var valueEl = document.getElementById("cursor-value");
+          if (depthEl) depthEl.textContent = depth.toFixed(1) + " m";
+          if (holeEl) holeEl.textContent = holeName || "--";
+          if (valueEl)
+            valueEl.textContent =
+              xval !== null && xval !== undefined ? xval.toFixed(1) : "--";
+        }
+      });
+
+      gd.on("plotly_unhover", function () {
+        if (gd._fullLayout && gd._fullLayout._hoverlayer) {
+          gd._fullLayout._hoverlayer.selectAll(".pseudo-spike").remove();
+        }
+        var depthEl = document.getElementById("cursor-depth");
+        var holeEl = document.getElementById("cursor-hole");
+        var valueEl = document.getElementById("cursor-value");
+        if (depthEl) depthEl.textContent = "--";
+        if (holeEl) holeEl.textContent = "--";
+        if (valueEl) valueEl.textContent = "--";
+      });
+
+      gd.on("plotly_click", function (data) {
+        var info = getClickInfo(data);
+        if (!info) return;
+
+        var distEl = document.getElementById("distance-result");
+        var xa = xAxes[info.holeIdx];
+        var ya = yAxes[info.holeIdx];
+
+        if (clicks.length >= 2) {
+          clicks = [];
+          Plotly.relayout(gd, {
+            shapes: baseShapes.slice(),
+            annotations: [],
+          });
+          if (distEl) distEl.style.display = "none";
+          return;
+        }
+
+        clicks.push({
+          depth: info.depth,
+          xval: info.xval,
+          holeIdx: info.holeIdx,
+          xa: xa,
+          ya: ya,
+        });
+
+        if (clicks.length === 1) {
+          if (distEl) {
+            distEl.style.display = "block";
+            distEl.innerHTML =
+              "Point 1: <strong>" +
+              info.depth.toFixed(1) +
+              " m</strong> on " +
+              holeNames[info.holeIdx];
+          }
+          Plotly.relayout(gd, {
+            shapes: baseShapes.concat([dot(xa, ya, info.xval, info.depth)]),
+            annotations: [],
+          });
+        } else {
+          var a = clicks[0],
+            b = clicks[1];
+
+          if (a.holeIdx !== b.holeIdx) {
+            clicks.pop();
+            return;
+          }
+
+          var dist = Math.abs(b.depth - a.depth);
+          var mx = (a.xval + b.xval) / 2;
+          var my = (a.depth + b.depth) / 2;
+
+          if (distEl) {
+            distEl.style.display = "block";
+            distEl.innerHTML =
+              "<strong>" +
+              dist.toFixed(1) +
+              " m</strong> on " +
+              holeNames[a.holeIdx];
+          }
+
+          Plotly.relayout(gd, {
+            shapes: baseShapes.concat([
+              dot(a.xa, a.ya, a.xval, a.depth),
+              dot(b.xa, b.ya, b.xval, b.depth),
+              {
+                type: "line",
+                xref: a.xa,
+                yref: a.ya,
+                x0: a.xval,
+                y0: a.depth,
+                x1: b.xval,
+                y1: b.depth,
+                line: { color: "#dc2626", width: 2 },
+              },
+            ]),
+            annotations: [
+              {
+                x: mx,
+                y: my,
+                xref: a.xa,
+                yref: a.ya,
+                text: dist.toFixed(1) + " m",
+                showarrow: false,
+                font: { color: "#dc2626", size: 12 },
+                bgcolor: "rgba(255,255,255,0.9)",
+                bordercolor: "#dc2626",
+                borderwidth: 1,
+                borderpad: 4,
+              },
+            ],
+          });
+        }
+      });
+    });
+    /* ===== end verbatim CodePen JS ===== */
+  }
+
+  var observer = new MutationObserver(function () {
+    if (!document.getElementById("explorer-chart")) {
+      initialized = false;
+      return;
+    }
+    init();
+  });
+
+  if (document.body) {
+    observer.observe(document.body, { childList: true, subtree: true });
+  } else {
+    document.addEventListener("DOMContentLoaded", function () {
+      observer.observe(document.body, { childList: true, subtree: true });
+      init();
+    });
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+  init();
+})();
diff --git a/drillholes-demo/assets/plotly-logo-old.png b/drillholes-demo/assets/plotly-logo-old.png
new file mode 100644
index 0000000..653c836
Binary files /dev/null and b/drillholes-demo/assets/plotly-logo-old.png differ
diff --git a/drillholes-demo/assets/plotly-logo.png b/drillholes-demo/assets/plotly-logo.png
new file mode 100644
index 0000000..a037590
Binary files /dev/null and b/drillholes-demo/assets/plotly-logo.png differ
diff --git a/drillholes-demo/assets/styles.css b/drillholes-demo/assets/styles.css
new file mode 100644
index 0000000..2b36734
--- /dev/null
+++ b/drillholes-demo/assets/styles.css
@@ -0,0 +1,390 @@
+/* ===== Base ===== */
+*, *::before, *::after { box-sizing: border-box; }
+
+body {
+  background-color: #f8f9fa;
+  color: #495057;
+  font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+  margin: 0;
+  padding: 0;
+  min-height: 100vh;
+}
+
+/* ===== Scrollbars ===== */
+::-webkit-scrollbar {
+  width: 8px;
+  height: 8px;
+}
+
+::-webkit-scrollbar-track {
+  background: rgba(0, 0, 0, 0.05);
+  border-radius: 4px;
+}
+
+::-webkit-scrollbar-thumb {
+  background: rgba(0, 0, 0, 0.2);
+  border-radius: 4px;
+}
+
+::-webkit-scrollbar-thumb:hover {
+  background: rgba(0, 0, 0, 0.3);
+}
+
+/* ===== AppShell header ===== */
+.app-header {
+  background: #ffffff;
+  border-bottom: 1px solid #dee2e6;
+}
+
+.brand-title {
+  font-size: 1.05rem;
+  font-weight: 700;
+  color: #212529;
+  letter-spacing: -0.01em;
+  margin: 0;
+}
+
+.brand-subtitle {
+  font-size: 0.78rem;
+  color: #6c757d;
+  margin: 0;
+}
+
+/* ===== Collapsible Nav Sidebar ===== */
+.filter-sidebar {
+  width: 220px;
+  min-width: 220px;
+  flex-shrink: 0;
+  transition: width 0.2s ease;
+  display: flex !important;
+  flex-direction: column !important;
+  background-color: #ffffff !important;
+  border-right: 1px solid #dee2e6 !important;
+}
+
+.filter-sidebar.collapsed {
+  width: 50px !important;
+  min-width: 50px !important;
+}
+
+.sidebar-outer {
+  overflow-y: auto;
+  flex: 1;
+  padding: 4px 0;
+}
+
+.sidebar-inner {
+  overflow-x: hidden;
+  scrollbar-width: thin;
+}
+
+.sidebar-collapsed-title {
+  width: 150px;
+  color: #adb5bd;
+  font-size: 12px;
+  white-space: pre;
+  letter-spacing: 0.04em;
+}
+
+.sidebar-btn {
+  border-radius: 4px !important;
+}
+
+.title-pad {
+  padding: 22px 12px 10px 12px !important;
+  border-bottom: 1px solid #f1f3f5;
+}
+
+/* Layout helpers */
+.flex-column    { flex-direction: column; }
+.justify-center { justify-content: center; }
+.space-between  { justify-content: space-between; }
+.pad-0          { padding: 0 !important; }
+
+/* Main content flex wrapper */
+.main-layout {
+  display: flex;
+  height: 100%;
+  min-height: 0;
+}
+
+.main-content {
+  flex: 1;
+  min-width: 0;
+  overflow: auto;
+}
+
+/* Sidebar NavLink styling */
+.filter-sidebar .mantine-NavLink-root {
+  border-radius: 6px;
+  font-size: 0.85rem;
+  color: #6c757d;
+  margin: 1px 6px;
+  padding: 8px 10px;
+}
+
+.filter-sidebar .mantine-NavLink-root:hover {
+  background-color: #f1f3f5;
+  color: #343a40;
+}
+
+.filter-sidebar .mantine-NavLink-root[data-active="true"] {
+  background-color: #fff7e6;
+  color: #d48806;
+  font-weight: 600;
+  border-left: 3px solid #e8a020;
+  border-radius: 0 6px 6px 0;
+  padding-left: 7px;
+}
+
+/* ===== Paper hover elevation ===== */
+.mantine-Paper-root {
+  transition: box-shadow 0.2s ease;
+}
+
+.mantine-Paper-root:hover {
+  box-shadow: 0 2px 8px rgba(0, 0, 0, 0.08);
+}
+
+/* ===== KPI cards ===== */
+.kpi-card {
+  background: #ffffff !important;
+  border: 1px solid #dee2e6 !important;
+  border-top: 3px solid #e8a020 !important;
+}
+
+/* ===== Chart containers ===== */
+.chart-paper {
+  background: #ffffff !important;
+  border: 1px solid #dee2e6 !important;
+}
+
+/* ===== Strip log panels ===== */
+.strip-log-panel {
+  border-right: 1px solid #dee2e6;
+}
+
+/* ===== Measurement readout ===== */
+.measure-readout {
+  font-family: 'JetBrains Mono', 'Fira Code', monospace;
+  font-size: 0.85rem;
+  color: #d48806;
+  background: #fff7e6;
+  border: 1px solid #ffd666;
+  border-radius: 6px;
+  padding: 8px 12px;
+  min-height: 36px;
+  display: flex;
+  align-items: center;
+}
+
+/* ===== Table ===== */
+.data-table {
+  width: 100%;
+  border-collapse: collapse;
+  font-size: 0.8rem;
+}
+
+.data-table th {
+  background: #f1f3f5;
+  color: #6c757d;
+  text-transform: uppercase;
+  font-size: 0.7rem;
+  font-weight: 600;
+  letter-spacing: 0.05em;
+  padding: 8px 10px;
+  text-align: left;
+  border-bottom: 2px solid #dee2e6;
+}
+
+.data-table td {
+  padding: 6px 10px;
+  border-bottom: 1px solid #e9ecef;
+  color: #495057;
+}
+
+.data-table tr:hover td {
+  background: #f8f9fa;
+}
+
+/* ===== Scrollable table wrapper ===== */
+.table-scroll {
+  max-height: 420px;
+  overflow-y: auto;
+}
+
+.table-scroll::-webkit-scrollbar { width: 5px; }
+.table-scroll::-webkit-scrollbar-track { background: #f1f3f5; }
+.table-scroll::-webkit-scrollbar-thumb { background: #ced4da; border-radius: 3px; }
+
+/* ===== Section titles ===== */
+.section-title {
+  font-size: 0.9rem;
+  font-weight: 600;
+  color: #212529;
+  margin: 0 0 4px;
+}
+
+.section-description {
+  font-size: 0.75rem;
+  color: #6c757d;
+  margin: 0 0 12px;
+}
+
+/* ===== Legend swatch ===== */
+.lith-swatch {
+  display: inline-block;
+  width: 12px;
+  height: 12px;
+  border-radius: 2px;
+  margin-right: 6px;
+  vertical-align: middle;
+  border: 1px solid rgba(0, 0, 0, 0.1);
+}
+
+/* ===== Depth cursor line — targeted via JS class injection ===== */
+.depth-cursor-line {
+  stroke: #e8a020 !important;
+  stroke-width: 1.5px !important;
+  stroke-dasharray: 5, 3 !important;
+  opacity: 0.85 !important;
+}
+
+/* ===== Mantine overrides ===== */
+.mantine-Badge-root {
+  text-transform: none;
+}
+
+.mantine-NavLink-root[data-active="true"] {
+  font-weight: 600;
+}
+
+/* ===== Plotly modebar ===== */
+.js-plotly-plot .plotly .modebar {
+  top: 5px !important;
+  right: 5px !important;
+}
+
+.js-plotly-plot .plotly .modebar-btn {
+  font-size: 14px !important;
+}
+
+/* ===== Tip paper (accent left border) ===== */
+.tip-paper {
+  display: none !important;
+  border-left: 3px solid #e8a020 !important;
+}
+
+/* ===== Y-axis interaction hint overlay ===== */
+.y-axis-hint {
+  position: absolute;
+  left: 62px;
+  top: 54px;
+  font-size: 9px;
+  color: #adb5bd;
+  background: rgba(255, 255, 255, 0.93);
+  padding: 2px 8px;
+  border-radius: 10px;
+  border: 1px solid #dee2e6;
+  pointer-events: none;
+  z-index: 10;
+  display: flex;
+  align-items: center;
+  gap: 4px;
+  white-space: nowrap;
+  font-family: Inter, sans-serif;
+  animation: hint-fade-in 0.9s ease-out;
+}
+
+@keyframes hint-fade-in {
+  from { opacity: 0; transform: translateY(-4px); }
+  to   { opacity: 1; transform: translateY(0); }
+}
+
+/* ===== Feature chip badges ===== */
+.feature-chips .mantine-Badge-root {
+  cursor: help;
+}
+
+/* ===== DashTour overrides ===== */
+[data-tour-elem="helper"] {
+  font-family: Inter, -apple-system, sans-serif !important;
+  font-size: 0.875rem !important;
+  color: #212529 !important;
+  line-height: 1.5 !important;
+  max-width: 320px !important;
+}
+
+[data-tour-elem="badge"] {
+  background: #e8a020 !important;
+}
+
+/* ===== Responsive ===== */
+@media (max-width: 768px) {
+  .brand-title { font-size: 0.95rem; }
+  .brand-subtitle { display: none; }
+  .horizontal-nav .mantine-NavLink-root { padding: 6px 10px; font-size: 0.8rem; }
+  .horizontal-nav .mantine-NavLink-label { font-size: 0.8rem; }
+}
+
+@media print {
+  .mantine-AppShell-header,
+  .mantine-Button-root,
+  .mantine-Select-root,
+  .mantine-MultiSelect-root {
+    display: none !important;
+  }
+
+  .mantine-Paper-root {
+    break-inside: avoid;
+    box-shadow: none !important;
+    border: 1px solid #dee2e6 !important;
+  }
+}
+
+/* ===== Explorer page sidebar (CodePen port) ===== */
+.explorer-info-panel {
+  background: #f8f9fb !important;
+}
+
+.explorer-panel-title {
+  font-size: 10px;
+  text-transform: uppercase;
+  letter-spacing: 0.8px;
+  color: #8b8fa3;
+  font-weight: 600;
+  margin: 0 0 8px;
+}
+
+.explorer-info-row {
+  display: flex;
+  justify-content: space-between;
+  padding: 6px 0;
+  font-size: 12px;
+  border-bottom: 1px solid #ecedf0;
+}
+
+.explorer-info-row:last-child {
+  border-bottom: none;
+}
+
+.explorer-info-label {
+  color: #8b8fa3;
+}
+
+.explorer-info-value {
+  color: #1e2028;
+  font-weight: 500;
+  font-variant-numeric: tabular-nums;
+}
+
+.explorer-distance-result {
+  background: #eef4ff;
+  border: 1px solid #b6d0f7;
+  border-radius: 6px;
+  padding: 8px 12px;
+  margin-top: 6px;
+  font-size: 12px;
+  color: #2563eb;
+  display: none;
+}
diff --git a/drillholes-demo/callbacks/__init__.py b/drillholes-demo/callbacks/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/drillholes-demo/callbacks/block_model.py b/drillholes-demo/callbacks/block_model.py
new file mode 100644
index 0000000..a1be587
--- /dev/null
+++ b/drillholes-demo/callbacks/block_model.py
@@ -0,0 +1,30 @@
+from dash import callback, Input, Output, Patch, no_update
+
+
+@callback(
+    Output("bm-grid", "dashGridOptions"),
+    Input("bm-quick-filter", "value"),
+)
+def update_quick_filter(search_value):
+    patch = Patch()
+    patch["quickFilterText"] = search_value or ""
+    return patch
+
+
+@callback(
+    Output("bm-row-count", "children"),
+    Input("bm-grid", "virtualRowData"),
+)
+def update_row_count(virtual_rows):
+    if virtual_rows is None:
+        return no_update
+    return f"{len(virtual_rows):,} rows"
+
+
+@callback(
+    Output("bm-grid", "exportDataAsCsv"),
+    Input("bm-export-btn", "n_clicks"),
+    prevent_initial_call=True,
+)
+def export_csv(n_clicks):
+    return True
diff --git a/drillholes-demo/callbacks/comparison.py b/drillholes-demo/callbacks/comparison.py
new file mode 100644
index 0000000..5cbec8d
--- /dev/null
+++ b/drillholes-demo/callbacks/comparison.py
@@ -0,0 +1,31 @@
+from dash import Input, Output, callback
+from pages.comparison import build_comparison_figure
+from utils import load_data, GRADE_LABELS
+
+
+@callback(
+    Output("comparison-chart", "figure"),
+    [Input("hole-checklist",  "value"),
+     Input("grade-selector",  "value")],
+)
+def update_comparison(selected_holes, grade_col):
+    holes = (selected_holes or [])[:10]
+    return build_comparison_figure(holes, grade_col)
+
+
+@callback(
+    [Output("badge-hole-count",    "children"),
+     Output("badge-total-meters",  "children"),
+     Output("badge-grade",         "children")],
+    [Input("hole-checklist", "value"),
+     Input("grade-selector", "value")],
+)
+def update_comparison_badges(selected_holes, grade_col):
+    holes = (selected_holes or [])[:10]
+    collar, _, _, _ = load_data()
+    total_m = int(collar.loc[collar["HOLEID"].isin(holes), "TOTDEPTH"].sum())
+    return (
+        f"Holes selected: {len(holes)}",
+        f"Combined meters: {total_m:,} m",
+        f"Grade: {GRADE_LABELS.get(grade_col, grade_col)}",
+    )
diff --git a/drillholes-demo/callbacks/cross_section.py b/drillholes-demo/callbacks/cross_section.py
new file mode 100644
index 0000000..81ee873
--- /dev/null
+++ b/drillholes-demo/callbacks/cross_section.py
@@ -0,0 +1,102 @@
+from dash import Input, Output, State, callback, clientside_callback
+
+from pages.cross_section import _build_figure
+from utils import load_data
+
+
+@callback(
+    Output("cross-section-chart", "figure"),
+    Input("section-orientation", "value"),
+)
+def update_cross_section(orientation):
+    collar, _, _, survey = load_data()
+    return _build_figure(collar, survey, orientation)
+
+
+@callback(
+    Output("cs-tour", "isOpen"),
+    Input("cs-tour-btn", "n_clicks"),
+    prevent_initial_call=True,
+)
+def open_cs_tour(_):
+    return True
+
+
+# Hide the Y-axis hint on first meaningful chart interaction (pan, zoom).
+clientside_callback(
+    """
+    function(relayoutData, currentStyle) {
+        if (!relayoutData) return currentStyle || {"display": "flex"};
+        var ignored = {"autosize": 1, "width": 1, "height": 1};
+        var keys = Object.keys(relayoutData).filter(function(k) {
+            return !ignored[k];
+        });
+        if (keys.length > 0) {
+            return {"display": "none"};
+        }
+        return currentStyle || {"display": "flex"};
+    }
+    """,
+    Output("cs-yaxis-hint", "style"),
+    Input("cross-section-chart", "relayoutData"),
+    State("cs-yaxis-hint", "style"),
+    prevent_initial_call=True,
+)
+
+
+# Elevation cursor — tracks mouse elevation across all three panels.
+clientside_callback(
+    """
+    function(hoverData, figure) {
+        if (!hoverData || !hoverData.points || !hoverData.points.length) {
+            return window.dash_clientside.no_update;
+        }
+        var elev = hoverData.points[0].y;
+        if (elev == null) return window.dash_clientside.no_update;
+        var fig = JSON.parse(JSON.stringify(figure));
+        if (!fig.layout.shapes) return window.dash_clientside.no_update;
+        for (var i = 0; i < fig.layout.shapes.length; i++) {
+            var n = fig.layout.shapes[i].name || "";
+            if (n === "elev-cursor-1" || n === "elev-cursor-2" || n === "elev-cursor-3") {
+                fig.layout.shapes[i].y0 = elev;
+                fig.layout.shapes[i].y1 = elev;
+                fig.layout.shapes[i].visible = true;
+            }
+        }
+        return fig;
+    }
+    """,
+    Output("cross-section-chart", "figure", allow_duplicate=True),
+    Input("cross-section-chart", "hoverData"),
+    State("cross-section-chart", "figure"),
+    prevent_initial_call=True,
+)
+
+
+# Click to pin a marker line at the clicked elevation across all three panels.
+clientside_callback(
+    """
+    function(clickData, figure) {
+        if (!clickData || !clickData.points || !clickData.points.length) {
+            return window.dash_clientside.no_update;
+        }
+        var elev = clickData.points[0].y;
+        if (elev == null) return window.dash_clientside.no_update;
+        var fig = JSON.parse(JSON.stringify(figure));
+        if (!fig.layout.shapes) return window.dash_clientside.no_update;
+        for (var i = 0; i < fig.layout.shapes.length; i++) {
+            var n = fig.layout.shapes[i].name || "";
+            if (n.indexOf("measure-span-") === 0) {
+                fig.layout.shapes[i].y0 = elev - 0.5;
+                fig.layout.shapes[i].y1 = elev + 0.5;
+                fig.layout.shapes[i].visible = true;
+            }
+        }
+        return fig;
+    }
+    """,
+    Output("cross-section-chart", "figure", allow_duplicate=True),
+    Input("cross-section-chart", "clickData"),
+    State("cross-section-chart", "figure"),
+    prevent_initial_call=True,
+)
diff --git a/drillholes-demo/callbacks/downhole.py b/drillholes-demo/callbacks/downhole.py
new file mode 100644
index 0000000..63d751f
--- /dev/null
+++ b/drillholes-demo/callbacks/downhole.py
@@ -0,0 +1,177 @@
+"""
+Downhole callbacks:
+1. Hole selector → rebuild strip log figure
+2. Clientside callback: hoverData → update depth cursor shape (zero Python round-trip)
+3. Python callback: clickData → click-to-measure state machine
+4. Clear button → reset measurement
+"""
+
+import json
+import plotly.graph_objects as go
+from dash import Input, Output, State, callback, clientside_callback, no_update, ctx
+import dash
+
+from pages.downhole_logs import _strip_log_figure
+from utils import load_data
+
+
+@callback(
+    Output("strip-log-chart", "figure"),
+    Input("hole-selector", "value"),
+)
+def update_strip_log(hole_id):
+    collar, assay, lith, survey = load_data()
+    return _strip_log_figure(hole_id, collar, assay, lith, survey)
+
+
+@callback(
+    [Output("kpi-hole-depth", "children"),
+     Output("kpi-lith-count", "children")],
+    Input("hole-selector", "value"),
+)
+def update_hole_kpis(hole_id):
+    collar, _, lith, _ = load_data()
+    row = collar.loc[collar["HOLEID"] == hole_id]
+    depth = int(row["TOTDEPTH"].iloc[0]) if not row.empty else 0
+    lith_count = int(lith[lith["HOLEID"] == hole_id].shape[0])
+    return f"{depth} m", str(lith_count)
+
+
+# ── Depth cursor — clientside for zero latency ──────────────────────────────
+# Plot-wide hover events fire even over empty plot areas (not just data points).
+# The transparent sentinel traces in each panel ensure hoverData is populated
+# anywhere along the depth axis.
+clientside_callback(
+    """
+    function(hoverData, figure) {
+        if (!hoverData || !hoverData.points || hoverData.points.length === 0) {
+            return window.dash_clientside.no_update;
+        }
+        var depth = hoverData.points[0].y;
+        if (depth === undefined || depth === null) {
+            return window.dash_clientside.no_update;
+        }
+        // Deep-copy so Dash detects the change
+        var fig = JSON.parse(JSON.stringify(figure));
+        if (!fig.layout.shapes) return window.dash_clientside.no_update;
+        for (var i = 0; i < fig.layout.shapes.length; i++) {
+            if (fig.layout.shapes[i].name === 'depth-cursor') {
+                fig.layout.shapes[i].y0 = depth;
+                fig.layout.shapes[i].y1 = depth;
+                fig.layout.shapes[i].visible = true;
+            }
+        }
+        return fig;
+    }
+    """,
+    Output("strip-log-chart", "figure", allow_duplicate=True),
+    Input("strip-log-chart", "hoverData"),
+    State("strip-log-chart", "figure"),
+    prevent_initial_call=True,
+)
+
+
+# ── Click-to-measure state machine ──────────────────────────────────────────
+@callback(
+    [Output("measure-readout", "children"),
+     Output("measure-store",   "data"),
+     Output("strip-log-chart", "figure", allow_duplicate=True)],
+    [Input("strip-log-chart", "clickData"),
+     Input("measure-clear-btn", "n_clicks")],
+    [State("measure-store",   "data"),
+     State("strip-log-chart", "figure")],
+    prevent_initial_call=True,
+)
+def handle_click_measure(click_data, clear_clicks, store, current_fig):
+    triggered = ctx.triggered_id
+
+    # Clear button
+    if triggered == "measure-clear-btn":
+        fig = go.Figure(current_fig)
+        for shape in fig.layout.shapes:
+            if shape.name == "measure-span":
+                shape.visible = False
+        fig.layout.annotations = [
+            a for a in fig.layout.annotations if "click again" not in (a.text or "")
+        ]
+        return "Click a depth to start measuring", None, fig
+
+    # Click events
+    if not click_data or not click_data.get("points"):
+        return no_update, no_update, no_update
+
+    depth = click_data["points"][0].get("y")
+    if depth is None:
+        return no_update, no_update, no_update
+
+    fig = go.Figure(current_fig)
+
+    # Strip any pending "click again" prompt before updating
+    fig.layout.annotations = [
+        a for a in fig.layout.annotations if "click again" not in (a.text or "")
+    ]
+
+    if store is None or store.get("first_depth") is None:
+        # First click: store depth
+        new_store = {"first_depth": float(depth)}
+        readout   = f"From: {depth:.1f} m — click again to set end depth"
+
+        # Show a thin line at the first click depth
+        for shape in fig.layout.shapes:
+            if shape.name == "measure-span":
+                shape.y0      = float(depth)
+                shape.y1      = float(depth) + 0.5
+                shape.visible = True
+
+        # On-chart prompt so user knows a second click is needed
+        fig.add_annotation(
+            x=0.5, y=float(depth) + 10,
+            xref="paper", yref="y",
+            text="↓ click again to set end depth",
+            showarrow=True, arrowhead=2,
+            arrowcolor="#e8a020", ax=0, ay=22,
+            font=dict(size=10, color="#e8a020", family="monospace"),
+            bgcolor="rgba(255,255,255,0.9)",
+            bordercolor="#e8a020", borderwidth=1,
+            xanchor="center",
+        )
+
+        return readout, new_store, fig
+
+    else:
+        # Second click: compute interval, draw span
+        d1 = store["first_depth"]
+        d2 = float(depth)
+        lo, hi    = min(d1, d2), max(d1, d2)
+        thickness = hi - lo
+
+        for shape in fig.layout.shapes:
+            if shape.name == "measure-span":
+                shape.y0      = lo
+                shape.y1      = hi
+                shape.visible = True
+
+        # Add annotation showing the thickness
+        fig.add_annotation(
+            x=0.98, y=(lo + hi) / 2,
+            xref="paper", yref="y",
+            text=f" {thickness:.1f} m ",
+            showarrow=False,
+            font=dict(size=11, color="#d48806", family="monospace"),
+            bgcolor="rgba(255,255,255,0.9)",
+            bordercolor="#e8a020",
+            borderwidth=1,
+            xanchor="right",
+        )
+
+        readout = f"{lo:.1f} m — {hi:.1f} m  =  {thickness:.1f} m interval"
+        return readout, None, fig   # reset store for next measurement
+
+
+@callback(
+    Output("dl-tour", "isOpen"),
+    Input("dl-tour-btn", "n_clicks"),
+    prevent_initial_call=True,
+)
+def open_dl_tour(_):
+    return True
diff --git a/drillholes-demo/components/__init__.py b/drillholes-demo/components/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/drillholes-demo/components/overview_widgets.py b/drillholes-demo/components/overview_widgets.py
new file mode 100644
index 0000000..373a1f0
--- /dev/null
+++ b/drillholes-demo/components/overview_widgets.py
@@ -0,0 +1,132 @@
+"""Reusable widgets sourced from the retired Overview page."""
+
+import pandas as pd
+import plotly.graph_objects as go
+from dash import html
+
+from utils import CHART_LAYOUT
+
+
+def best_au_intercept(assay: pd.DataFrame, min_width: float = 4.0) -> str:
+    """Best consecutive Au composite across all holes (min cumulative width in m)."""
+    best_grade, best_hole, best_from, best_to = 0.0, "", 0.0, 0.0
+    for hole_id, grp in assay.groupby("HOLEID"):
+        grp = grp.sort_values("FROM").reset_index(drop=True)
+        for i in range(len(grp)):
+            for j in range(i + 1, min(i + 20, len(grp) + 1)):
+                sub = grp.iloc[i:j]
+                width = sub["TO"].iloc[-1] - sub["FROM"].iloc[0]
+                if width < min_width:
+                    continue
+                avg = sub["Au_ppm"].mean()
+                if avg > best_grade:
+                    best_grade = avg
+                    best_hole = hole_id
+                    best_from = sub["FROM"].iloc[0]
+                    best_to = sub["TO"].iloc[-1]
+    width = best_to - best_from
+    return f"{best_grade:.2f} g/t / {width:.0f}m ({best_hole})"
+
+
+def collar_map(collar: pd.DataFrame) -> go.Figure:
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(
+        x=collar["EAST"],
+        y=collar["NORTH"],
+        mode="markers+text",
+        text=collar["HOLEID"],
+        textposition="top center",
+        textfont=dict(size=8, color="#6c757d"),
+        marker=dict(
+            size=10,
+            color=collar["TOTDEPTH"],
+            colorscale="Viridis",
+            showscale=True,
+            colorbar=dict(
+                title=dict(text="Total Depth (m)", font=dict(color="#495057")),
+                tickfont=dict(color="#495057"),
+                bgcolor="#ffffff",
+                bordercolor="#dee2e6",
+            ),
+            line=dict(width=1, color="#dee2e6"),
+        ),
+        hovertemplate=(
+            "<b>%{text}</b><br>"
+            "Easting: %{x:.1f} m MGA94<br>"
+            "Northing: %{y:.1f} m MGA94<br>"
+            "Total Depth: %{marker.color:.0f} m"
+            "<extra></extra>"
+        ),
+    ))
+    fig.update_layout(**{
+        **CHART_LAYOUT,
+        "margin": dict(l=60, r=20, t=20, b=50),
+        "height": 460,
+        "xaxis": dict(
+            title="Easting (m MGA94 Zone 50)",
+            showgrid=True, gridcolor="#e9ecef",
+            tickfont=dict(color="#6c757d"),
+            title_font=dict(color="#495057"),
+        ),
+        "yaxis": dict(
+            title="Northing (m MGA94 Zone 50)",
+            showgrid=True, gridcolor="#e9ecef",
+            tickfont=dict(color="#6c757d"),
+            title_font=dict(color="#495057"),
+            scaleanchor="x", scaleratio=1,
+        ),
+        "hoverlabel": dict(bgcolor="#ffffff", font_color="#212529", bordercolor="#dee2e6"),
+    })
+    return fig
+
+
+def summary_table(collar: pd.DataFrame, n: int = 20):
+    cols = ["HOLEID", "EAST", "NORTH", "ELEV", "TOTDEPTH", "AZ", "DIP"]
+    rows = []
+    for _, r in collar[cols].head(n).iterrows():
+        rows.append(html.Tr([
+            html.Td(str(r["HOLEID"]), style={"color": "#d48806", "fontWeight": "600"}),
+            html.Td(f"{r['EAST']:.0f}"),
+            html.Td(f"{r['NORTH']:.0f}"),
+            html.Td(f"{r['ELEV']:.0f} m RL"),
+            html.Td(f"{r['TOTDEPTH']:.0f} m"),
+            html.Td(f"{r['AZ']:.0f}°"),
+            html.Td(f"{r['DIP']:.0f}°"),
+        ]))
+    return html.Table(
+        [html.Thead(html.Tr([html.Th(c) for c in ["Hole", "East", "North", "RL", "Depth", "Az", "Dip"]]))]
+        + [html.Tbody(rows)],
+        className="data-table",
+    )
+
+
+def depth_histogram(collar: pd.DataFrame) -> go.Figure:
+    fig = go.Figure()
+    fig.add_trace(go.Histogram(
+        x=collar["TOTDEPTH"],
+        nbinsx=15,
+        marker=dict(color="#e8a020", line=dict(color="#ffffff", width=1)),
+        hovertemplate="Depth: %{x:.0f} m<br>Number of holes: %{y}<extra></extra>",
+        name="",
+    ))
+    fig.update_layout(**{
+        **CHART_LAYOUT,
+        "height": 200,
+        "margin": dict(l=50, r=20, t=10, b=40),
+        "xaxis": dict(
+            title="Total Depth (m)",
+            showgrid=True, gridcolor="#e9ecef",
+            tickfont=dict(color="#6c757d"),
+            title_font=dict(color="#495057"),
+        ),
+        "yaxis": dict(
+            title="Number of Holes",
+            showgrid=True, gridcolor="#e9ecef",
+            tickfont=dict(color="#6c757d"),
+            title_font=dict(color="#495057"),
+        ),
+        "bargap": 0.05,
+        "showlegend": False,
+        "hoverlabel": dict(bgcolor="#ffffff", font_color="#212529", bordercolor="#dee2e6"),
+    })
+    return fig
diff --git a/drillholes-demo/data/assay.csv b/drillholes-demo/data/assay.csv
new file mode 100644
index 0000000..8f3d860
--- /dev/null
+++ b/drillholes-demo/data/assay.csv
@@ -0,0 +1,7665 @@
+HOLEID,FROM,TO,Au_ppm,Cu_pct,Ag_ppm
+DH001,0.0,2.0,0.093,0.0104,0.112
+DH001,2.0,4.0,0.089,0.0057,0.092
+DH001,4.0,6.0,0.257,0.0146,0.293
+DH001,6.0,8.0,0.152,0.0169,0.199
+DH001,8.0,10.0,0.021,0.0252,0.013
+DH001,10.0,12.0,0.045,0.0195,0.064
+DH001,12.0,14.0,0.06,0.0248,0.043
+DH001,14.0,16.0,0.154,0.0091,0.088
+DH001,16.0,18.0,0.26,0.0322,0.165
+DH001,18.0,20.0,0.047,0.0141,0.059
+DH001,20.0,22.0,0.084,0.0175,0.096
+DH001,22.0,24.0,0.072,0.0089,0.068
+DH001,24.0,26.0,0.142,0.0092,0.095
+DH001,26.0,28.0,0.05,0.0194,0.033
+DH001,28.0,30.0,0.199,0.0236,0.165
+DH001,30.0,32.0,0.123,0.0124,0.071
+DH001,32.0,34.0,0.099,0.0143,0.071
+DH001,34.0,36.0,0.052,0.0134,0.041
+DH001,36.0,38.0,0.058,0.0317,0.062
+DH001,38.0,40.0,0.229,0.0569,0.257
+DH001,40.0,42.0,0.086,0.0102,0.101
+DH001,42.0,44.0,0.056,0.0108,0.053
+DH001,44.0,46.0,0.075,0.01,0.054
+DH001,46.0,48.0,0.047,0.0746,0.035
+DH001,48.0,50.0,0.068,0.0146,0.086
+DH001,50.0,52.0,0.038,0.043,0.042
+DH001,52.0,54.0,0.098,0.0093,0.101
+DH001,54.0,56.0,0.042,0.0381,0.024
+DH001,56.0,58.0,0.087,0.0054,0.124
+DH001,58.0,60.0,0.124,0.0336,0.181
+DH001,60.0,62.0,0.032,0.0213,0.023
+DH001,62.0,64.0,0.03,0.0182,0.028
+DH001,64.0,66.0,0.069,0.0073,0.036
+DH001,66.0,68.0,0.067,0.017,0.097
+DH001,68.0,70.0,0.063,0.018,0.052
+DH001,70.0,72.0,0.068,0.0149,0.086
+DH001,72.0,74.0,0.026,0.0232,0.026
+DH001,74.0,76.0,0.084,0.0296,0.126
+DH001,76.0,78.0,0.025,0.021,0.019
+DH001,78.0,80.0,0.091,0.0145,0.136
+DH001,80.0,82.0,6.815,0.3286,16.756
+DH001,82.0,84.0,0.177,0.4129,0.32
+DH001,84.0,86.0,4.823,0.1104,9.429
+DH001,86.0,88.0,6.25,0.7765,18.611
+DH001,88.0,90.0,1.696,0.4057,3.229
+DH001,90.0,92.0,0.582,0.3109,1.363
+DH001,92.0,94.0,2.473,0.266,5.225
+DH001,94.0,96.0,13.117,0.1085,26.182
+DH001,96.0,98.0,2.255,0.4508,6.26
+DH001,98.0,100.0,0.462,0.0437,1.219
+DH001,100.0,102.0,0.582,0.164,1.148
+DH001,102.0,104.0,1.031,0.2685,1.971
+DH001,104.0,106.0,4.986,0.3263,11.829
+DH001,106.0,108.0,1.818,0.5143,3.15
+DH001,108.0,110.0,0.416,0.377,0.901
+DH001,110.0,112.0,12.122,0.5063,34.421
+DH001,112.0,114.0,2.688,0.1888,7.676
+DH001,114.0,116.0,1.426,0.2694,2.573
+DH001,116.0,118.0,1.134,0.1363,2.721
+DH001,118.0,120.0,0.62,0.0517,1.21
+DH001,120.0,122.0,19.506,0.6979,35.824
+DH001,122.0,124.0,5.311,0.6961,13.635
+DH001,124.0,126.0,2.514,0.0448,6.199
+DH001,126.0,128.0,0.621,0.2618,1.687
+DH001,128.0,130.0,4.269,0.5064,9.446
+DH001,130.0,132.0,0.569,0.0398,0.889
+DH001,132.0,134.0,1.107,0.0645,2.349
+DH001,134.0,136.0,1.297,0.0944,3.746
+DH001,136.0,138.0,8.049,0.3614,12.289
+DH001,138.0,140.0,4.678,0.0881,7.102
+DH001,140.0,142.0,2.656,0.1532,7.593
+DH001,142.0,144.0,0.872,0.3355,1.411
+DH001,144.0,146.0,0.067,0.5782,0.163
+DH001,146.0,148.0,1.063,0.5068,1.839
+DH001,148.0,150.0,0.383,0.093,0.994
+DH001,150.0,152.0,0.222,0.5506,0.502
+DH001,152.0,154.0,0.532,0.1399,1.383
+DH001,154.0,156.0,6.293,0.4009,11.513
+DH001,156.0,158.0,1.371,0.1119,3.567
+DH001,158.0,160.0,0.44,0.8052,0.91
+DH001,160.0,162.0,0.552,0.1298,1.34
+DH001,162.0,164.0,0.482,0.2407,1.224
+DH001,164.0,166.0,0.163,0.1647,0.265
+DH001,166.0,168.0,0.902,0.1078,1.45
+DH001,168.0,170.0,24.561,0.2334,47.346
+DH001,170.0,172.0,0.264,0.1322,0.602
+DH001,172.0,174.0,0.651,0.4614,1.907
+DH001,174.0,176.0,1.578,0.1396,4.463
+DH001,176.0,178.0,1.032,0.1797,1.784
+DH001,178.0,180.0,0.922,0.3289,1.779
+DH001,180.0,182.0,2.001,0.1581,4.245
+DH001,182.0,184.0,1.677,0.1746,2.596
+DH001,184.0,186.0,17.046,0.0764,42.222
+DH001,186.0,188.0,0.23,0.2655,0.43
+DH001,188.0,190.0,4.0,0.2558,10.863
+DH001,190.0,192.0,2.31,0.1824,5.522
+DH001,192.0,194.0,1.572,0.2615,3.17
+DH001,194.0,196.0,0.846,0.0752,2.262
+DH001,196.0,198.0,4.282,0.2686,10.285
+DH001,198.0,200.0,2.473,0.3053,6.631
+DH001,200.0,202.0,1.994,0.1459,5.925
+DH001,202.0,204.0,1.294,0.131,3.002
+DH001,204.0,206.0,3.011,0.0725,8.977
+DH001,206.0,208.0,1.988,0.0917,5.494
+DH001,208.0,210.0,4.715,0.0811,13.991
+DH001,210.0,212.0,4.906,0.2213,14.318
+DH001,212.0,214.0,2.694,0.2182,4.408
+DH001,214.0,216.0,4.474,0.3267,10.082
+DH001,216.0,218.0,0.862,0.2476,1.946
+DH001,218.0,220.0,0.449,0.0687,0.862
+DH001,220.0,222.0,0.098,0.263,0.225
+DH001,222.0,224.0,10.696,0.1504,20.88
+DH001,224.0,226.0,1.382,0.2444,2.488
+DH001,226.0,228.0,1.278,0.4952,3.209
+DH001,228.0,230.0,3.169,0.4668,6.412
+DH001,230.0,232.0,22.192,0.1211,45.315
+DH001,232.0,234.0,0.675,0.3785,1.229
+DH001,234.0,236.0,2.516,0.0909,3.921
+DH001,236.0,238.0,0.512,0.5639,0.951
+DH001,238.0,240.0,3.455,0.3558,10.037
+DH001,240.0,242.0,0.254,0.1378,0.652
+DH001,242.0,244.0,0.392,0.885,0.684
+DH001,244.0,246.0,3.51,0.1743,6.202
+DH001,246.0,248.0,7.081,0.2174,20.476
+DH001,248.0,250.0,1.759,0.1697,2.924
+DH001,250.0,252.0,0.025,0.0161,0.013
+DH001,252.0,254.0,0.058,0.0096,0.051
+DH001,254.0,256.0,0.085,0.0062,0.07
+DH001,256.0,258.0,0.105,0.0222,0.074
+DH001,258.0,260.0,0.09,0.0305,0.129
+DH001,260.0,262.0,0.078,0.0145,0.063
+DH001,262.0,264.0,0.109,0.0202,0.146
+DH001,264.0,266.0,0.089,0.0276,0.113
+DH001,266.0,268.0,0.131,0.0283,0.188
+DH001,268.0,270.0,0.028,0.0396,0.035
+DH001,270.0,272.0,0.029,0.0128,0.016
+DH001,272.0,274.0,0.069,0.0142,0.077
+DH001,274.0,276.0,0.044,0.0123,0.034
+DH001,276.0,278.0,0.104,0.0235,0.098
+DH001,278.0,280.0,0.092,0.0234,0.086
+DH001,280.0,282.0,0.085,0.0193,0.119
+DH001,282.0,284.0,0.13,0.0242,0.131
+DH001,284.0,286.0,0.051,0.0189,0.051
+DH001,286.0,288.0,0.092,0.0552,0.098
+DH001,288.0,290.0,0.106,0.0312,0.08
+DH001,290.0,292.0,0.334,0.0152,0.49
+DH001,292.0,294.0,0.051,0.0154,0.052
+DH001,294.0,296.0,0.136,0.0215,0.148
+DH001,296.0,298.0,0.078,0.0155,0.048
+DH001,298.0,300.0,0.104,0.0128,0.058
+DH001,300.0,302.0,0.047,0.0293,0.026
+DH001,302.0,304.0,0.089,0.0177,0.103
+DH001,304.0,306.0,0.049,0.0107,0.069
+DH001,306.0,308.0,0.118,0.0216,0.128
+DH001,308.0,310.0,0.123,0.0126,0.081
+DH001,310.0,312.0,0.047,0.0351,0.046
+DH001,312.0,314.0,0.118,0.0342,0.072
+DH001,314.0,316.0,0.029,0.0127,0.024
+DH001,316.0,318.0,0.049,0.0107,0.045
+DH001,318.0,320.0,0.04,0.0217,0.03
+DH001,320.0,322.0,0.11,0.0236,0.059
+DH001,322.0,324.0,0.066,0.0529,0.076
+DH001,324.0,326.0,0.027,0.0111,0.034
+DH001,326.0,328.0,0.083,0.0172,0.068
+DH001,328.0,330.0,0.274,0.0241,0.219
+DH001,330.0,332.0,0.047,0.0111,0.035
+DH001,332.0,334.0,0.091,0.0072,0.069
+DH001,334.0,336.0,0.083,0.0164,0.07
+DH001,336.0,338.0,0.059,0.0168,0.052
+DH001,338.0,340.0,0.118,0.0314,0.121
+DH001,340.0,342.0,0.062,0.0228,0.035
+DH001,342.0,344.0,0.063,0.0272,0.094
+DH001,344.0,346.0,0.178,0.0446,0.189
+DH001,346.0,348.0,0.083,0.0184,0.083
+DH001,348.0,350.0,0.056,0.0087,0.063
+DH001,350.0,352.0,0.052,0.0191,0.069
+DH001,352.0,354.0,0.042,0.0206,0.045
+DH001,354.0,356.0,0.116,0.0546,0.133
+DH001,356.0,358.0,0.11,0.0107,0.092
+DH001,358.0,360.0,0.212,0.0115,0.126
+DH001,360.0,362.0,0.08,0.0175,0.056
+DH001,362.0,364.0,0.068,0.0339,0.083
+DH001,364.0,366.0,0.036,0.0293,0.028
+DH001,366.0,368.0,0.057,0.0083,0.031
+DH001,368.0,370.0,0.079,0.0328,0.115
+DH001,370.0,372.0,0.078,0.0257,0.077
+DH001,372.0,374.0,0.153,0.0101,0.156
+DH001,374.0,376.0,0.095,0.0315,0.133
+DH001,376.0,378.0,0.02,0.0124,0.017
+DH001,378.0,380.0,0.073,0.0233,0.058
+DH001,380.0,382.0,0.118,0.0165,0.118
+DH001,382.0,384.0,0.062,0.0226,0.035
+DH001,384.0,386.0,0.12,0.0288,0.091
+DH001,386.0,388.0,0.013,0.0097,0.009
+DH001,388.0,390.0,0.059,0.0068,0.064
+DH001,390.0,392.0,0.083,0.0318,0.053
+DH001,392.0,394.0,0.108,0.022,0.148
+DH001,394.0,396.0,0.322,0.0298,0.183
+DH001,396.0,398.0,0.107,0.0324,0.132
+DH002,0.0,2.0,0.064,0.0328,0.036
+DH002,2.0,4.0,0.384,0.0126,0.226
+DH002,4.0,6.0,0.068,0.0143,0.092
+DH002,6.0,8.0,0.016,0.0147,0.014
+DH002,8.0,10.0,0.061,0.0482,0.061
+DH002,10.0,12.0,0.178,0.0209,0.237
+DH002,12.0,14.0,0.097,0.0363,0.135
+DH002,14.0,16.0,0.111,0.022,0.084
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diff --git a/drillholes-demo/data/collar.csv b/drillholes-demo/data/collar.csv
new file mode 100644
index 0000000..b928671
--- /dev/null
+++ b/drillholes-demo/data/collar.csv
@@ -0,0 +1,51 @@
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+DH035,350599.1,7200385.7,401.8,382.0,335.9,-72.9
+DH036,349990.7,7200487.7,390.5,348.0,289.6,-77.5
+DH037,350088.9,7200506.7,409.2,262.0,168.3,-88.5
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+DH039,350291.8,7200489.8,405.7,374.0,6.4,-74.3
+DH040,350405.1,7200500.0,391.7,229.0,39.3,-86.9
+DH041,350498.1,7200489.6,399.7,431.0,298.6,-65.0
+DH042,350610.0,7200505.9,399.8,222.0,286.9,-88.4
+DH043,350006.0,7200598.4,408.8,187.0,83.8,-62.3
+DH044,350094.4,7200596.4,401.4,399.0,191.1,-87.0
+DH045,350210.0,7200594.0,399.5,196.0,218.2,-64.7
+DH046,350309.1,7200603.9,395.3,204.0,312.4,-62.9
+DH047,350396.6,7200595.9,396.6,330.0,217.1,-60.6
+DH048,350493.6,7200587.6,400.4,412.0,148.5,-65.9
+DH049,350605.5,7200588.5,398.8,209.0,134.7,-66.6
+DH050,349989.2,7200713.9,390.4,243.0,153.3,-70.7
diff --git a/drillholes-demo/data/lith.csv b/drillholes-demo/data/lith.csv
new file mode 100644
index 0000000..d0f1c0d
--- /dev/null
+++ b/drillholes-demo/data/lith.csv
@@ -0,0 +1,275 @@
+HOLEID,FROM,TO,LITHOLOGY
+DH001,0.0,26.7,Alluvium
+DH001,26.7,50.1,Weathered Granite
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+DH001,170.6,268.2,Mineralized Porphyry
+DH001,268.2,398.0,Fresh Granite
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+DH002,20.6,60.2,Weathered Granite
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+DH002,279.6,419.0,Fresh Granite
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+DH003,17.7,47.0,Weathered Granite
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+DH004,6.5,74.4,Weathered Granite
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+DH004,191.9,279.3,Mineralized Porphyry
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+DH005,29.7,64.4,Weathered Granite
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+DH008,18.8,51.5,Weathered Granite
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+DH024,25.4,50.8,Weathered Granite
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+DH028,11.4,45.1,Weathered Granite
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+DH030,10.7,50.9,Weathered Granite
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+DH031,25.7,74.5,Weathered Granite
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+DH031,117.4,177.1,Quartz Diorite
+DH031,177.1,292.7,Mineralized Porphyry
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+DH043,26.7,72.5,Weathered Granite
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+DH044,19.2,74.6,Weathered Granite
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+DH044,177.4,291.3,Mineralized Porphyry
+DH044,291.3,399.0,Fresh Granite
+DH045,0.0,28.6,Alluvium
+DH045,28.6,56.5,Weathered Granite
+DH045,56.5,134.4,Granite
+DH045,134.4,191.5,Quartz Diorite
+DH045,191.5,196.0,Mineralized Porphyry
+DH046,0.0,28.1,Alluvium
+DH046,28.1,55.1,Weathered Granite
+DH046,55.1,123.2,Granite
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+DH046,184.8,204.0,Mineralized Porphyry
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+DH047,5.7,51.6,Weathered Granite
+DH047,51.6,126.4,Granite
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+DH047,181.9,279.9,Mineralized Porphyry
+DH047,279.9,330.0,Fresh Granite
+DH048,0.0,15.4,Alluvium
+DH048,15.4,71.0,Weathered Granite
+DH048,71.0,105.9,Granite
+DH048,105.9,176.9,Quartz Diorite
+DH048,176.9,293.4,Mineralized Porphyry
+DH048,293.4,412.0,Fresh Granite
+DH049,0.0,27.5,Alluvium
+DH049,27.5,52.7,Weathered Granite
+DH049,52.7,131.0,Granite
+DH049,131.0,187.4,Quartz Diorite
+DH049,187.4,209.0,Mineralized Porphyry
+DH050,0.0,11.5,Alluvium
+DH050,11.5,60.9,Weathered Granite
+DH050,60.9,128.4,Granite
+DH050,128.4,172.4,Quartz Diorite
+DH050,172.4,243.0,Mineralized Porphyry
diff --git a/drillholes-demo/data/survey.csv b/drillholes-demo/data/survey.csv
new file mode 100644
index 0000000..a67e692
--- /dev/null
+++ b/drillholes-demo/data/survey.csv
@@ -0,0 +1,585 @@
+HOLEID,DEPTH,AZ,DIP
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+DH001,360.0,283.4,-69.5
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diff --git a/drillholes-demo/data_generator.py b/drillholes-demo/data_generator.py
new file mode 100644
index 0000000..eae323d
--- /dev/null
+++ b/drillholes-demo/data_generator.py
@@ -0,0 +1,130 @@
+"""
+Generate synthetic Western Australia mineral exploration drillhole data.
+Modeled on the Kaggle "mineral-exploration-drillholes-western-australia" structure.
+Au-Cu porphyry prospect, ~50 holes in a 7x7 grid pattern.
+Run once: python data_generator.py
+"""
+
+import numpy as np
+import pandas as pd
+import pathlib
+
+DATA_PATH = pathlib.Path(__file__).parent / "data"
+DATA_PATH.mkdir(exist_ok=True)
+
+rng = np.random.default_rng(42)
+
+EAST_ORIGIN = 350000.0
+NORTH_ORIGIN = 7200000.0
+SPACING = 100.0
+N_HOLES = 50
+
+# --- COLLAR ---
+
+hole_ids = [f"DH{i:03d}" for i in range(1, N_HOLES + 1)]
+
+cols = 7
+east_base = [EAST_ORIGIN + (i % cols) * SPACING for i in range(N_HOLES)]
+north_base = [NORTH_ORIGIN + (i // cols) * SPACING for i in range(N_HOLES)]
+
+collar = pd.DataFrame({
+    "HOLEID":   hole_ids,
+    "EAST":     np.round(np.array(east_base) + rng.uniform(-15, 15, N_HOLES), 1),
+    "NORTH":    np.round(np.array(north_base) + rng.uniform(-15, 15, N_HOLES), 1),
+    "ELEV":     np.round(400 + rng.uniform(-10, 10, N_HOLES), 1),
+    "TOTDEPTH": np.round(rng.uniform(150, 450, N_HOLES), 0),
+    "AZ":       np.round(rng.uniform(0, 360, N_HOLES), 1),
+    "DIP":      np.round(rng.uniform(-90, -60, N_HOLES), 1),
+})
+
+collar.to_csv(DATA_PATH / "collar.csv", index=False)
+print(f"collar.csv: {len(collar)} holes")
+
+# --- SURVEY ---
+
+survey_rows = []
+for _, hole in collar.iterrows():
+    depths = np.arange(0, hole["TOTDEPTH"] + 30, 30)
+    for d in depths:
+        d = min(d, hole["TOTDEPTH"])
+        survey_rows.append({
+            "HOLEID": hole["HOLEID"],
+            "DEPTH":  round(float(d), 1),
+            "AZ":     round(float(hole["AZ"]) + float(rng.uniform(-5, 5)), 1),
+            "DIP":    round(float(hole["DIP"]) + float(rng.uniform(-3, 3)), 1),
+        })
+
+survey = pd.DataFrame(survey_rows).drop_duplicates(["HOLEID", "DEPTH"])
+survey.to_csv(DATA_PATH / "survey.csv", index=False)
+print(f"survey.csv: {len(survey)} stations")
+
+# --- LITHOLOGY ---
+
+LITH_SEQUENCE = [
+    ("Alluvium",             0,    20),
+    ("Weathered Granite",   20,    60),
+    ("Granite",             60,   120),
+    ("Quartz Diorite",     120,   180),
+    ("Mineralized Porphyry",180,  280),
+    ("Fresh Granite",      280,  9999),
+]
+
+lith_rows = []
+for _, hole in collar.iterrows():
+    depth = 0.0
+    for lith, base_from, base_to in LITH_SEQUENCE:
+        jitter = float(rng.uniform(-15, 15))
+        actual_from = round(depth, 1)
+        actual_to = round(min(float(hole["TOTDEPTH"]), base_to + jitter), 1)
+        if actual_from >= float(hole["TOTDEPTH"]):
+            break
+        actual_to = max(actual_to, actual_from + 2.0)
+        actual_to = min(actual_to, float(hole["TOTDEPTH"]))
+        lith_rows.append({
+            "HOLEID":    hole["HOLEID"],
+            "FROM":      actual_from,
+            "TO":        actual_to,
+            "LITHOLOGY": lith,
+        })
+        depth = actual_to
+        if depth >= float(hole["TOTDEPTH"]):
+            break
+
+lith = pd.DataFrame(lith_rows)
+lith.to_csv(DATA_PATH / "lith.csv", index=False)
+print(f"lith.csv: {len(lith)} intervals")
+
+# --- ASSAY (2m composites) ---
+
+assay_rows = []
+for _, hole in collar.iterrows():
+    depth = 0.0
+    tot = float(hole["TOTDEPTH"])
+    while depth < tot:
+        to = min(depth + 2.0, tot)
+        mid = (depth + to) / 2.0
+        in_zone = 80 <= mid <= 250
+
+        if in_zone:
+            au = float(max(0, rng.lognormal(mean=0.8, sigma=1.2)))
+            cu = float(max(0, rng.lognormal(mean=-1.5, sigma=0.8)))
+            ag = au * float(rng.uniform(1.5, 3.0))
+        else:
+            au = float(max(0, rng.lognormal(mean=-2.5, sigma=0.6)))
+            cu = float(max(0, rng.lognormal(mean=-4.0, sigma=0.5)))
+            ag = au * float(rng.uniform(0.5, 1.5))
+
+        assay_rows.append({
+            "HOLEID": hole["HOLEID"],
+            "FROM":   round(depth, 1),
+            "TO":     round(to, 1),
+            "Au_ppm": round(au, 3),
+            "Cu_pct": round(cu, 4),
+            "Ag_ppm": round(ag, 3),
+        })
+        depth = to
+
+assay = pd.DataFrame(assay_rows)
+assay.to_csv(DATA_PATH / "assay.csv", index=False)
+print(f"assay.csv: {len(assay)} intervals")
+print("Done — all CSVs written to data/")
diff --git a/drillholes-demo/pages/__init__.py b/drillholes-demo/pages/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/drillholes-demo/pages/block_model.py b/drillholes-demo/pages/block_model.py
new file mode 100644
index 0000000..2b3445b
--- /dev/null
+++ b/drillholes-demo/pages/block_model.py
@@ -0,0 +1,108 @@
+from dash import dcc, html
+import dash_ag_grid as dag
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+
+from utils import load_data
+
+COLUMN_DEFS = [
+    {
+        "field": "HOLEID",
+        "headerName": "Hole ID",
+        "pinned": "left",
+        "lockPinned": True,
+        "filter": "agTextColumnFilter",
+        "minWidth": 110,
+    },
+    {"field": "FROM", "headerName": "From (m)", "filter": "agNumberColumnFilter", "minWidth": 110},
+    {"field": "TO",   "headerName": "To (m)",   "filter": "agNumberColumnFilter", "minWidth": 110},
+    {
+        "field": "Au_ppm",
+        "headerName": "Au (g/t)",
+        "filter": "agNumberColumnFilter",
+        "minWidth": 110,
+        "cellStyle": {
+            "styleConditions": [
+                {"condition": "params.value >= 1.0",                          "style": {"backgroundColor": "#c6efce", "color": "#276221", "fontWeight": "600"}},
+                {"condition": "params.value >= 0.3 && params.value < 1.0",   "style": {"backgroundColor": "#ffeb9c", "color": "#9c6500"}},
+            ],
+            "defaultStyle": {"backgroundColor": "white", "color": "#495057"},
+        },
+    },
+    {
+        "field": "Cu_pct",
+        "headerName": "Cu (%)",
+        "filter": "agNumberColumnFilter",
+        "minWidth": 110,
+        "cellStyle": {
+            "styleConditions": [
+                {"condition": "params.value >= 0.5",                          "style": {"backgroundColor": "#c6efce", "color": "#276221", "fontWeight": "600"}},
+                {"condition": "params.value >= 0.2 && params.value < 0.5",   "style": {"backgroundColor": "#ffeb9c", "color": "#9c6500"}},
+            ],
+            "defaultStyle": {"backgroundColor": "white", "color": "#495057"},
+        },
+    },
+    {
+        "field": "Ag_ppm",
+        "headerName": "Ag (ppm)",
+        "filter": "agNumberColumnFilter",
+        "minWidth": 110,
+        "cellStyle": {
+            "styleConditions": [
+                {"condition": "params.value >= 5.0",                          "style": {"backgroundColor": "#c6efce", "color": "#276221", "fontWeight": "600"}},
+                {"condition": "params.value >= 1.0 && params.value < 5.0",   "style": {"backgroundColor": "#ffeb9c", "color": "#9c6500"}},
+            ],
+            "defaultStyle": {"backgroundColor": "white", "color": "#495057"},
+        },
+    },
+]
+
+
+def layout():
+    _, assay, _, _ = load_data()
+
+    return dmc.Stack([
+        dmc.Group([
+            DashIconify(icon="tabler:cube", width=22, color="#868e96"),
+            dmc.Title("Block Model", order=3, c="dark"),
+        ], gap="sm"),
+
+        dmc.Group([
+            dcc.Input(
+                id="bm-quick-filter",
+                placeholder="Search all columns...",
+                debounce=True,
+                style={"width": 280, "padding": "6px 10px", "border": "1px solid #dee2e6", "borderRadius": 6, "fontSize": 13},
+            ),
+            dmc.Text(id="bm-row-count", size="sm", c="dimmed"),
+            dmc.Button(
+                "Export CSV",
+                id="bm-export-btn",
+                leftSection=DashIconify(icon="tabler:download", width=16),
+                variant="light",
+                color="gray",
+                size="sm",
+            ),
+        ], gap="sm", align="center"),
+
+        dag.AgGrid(
+            id="bm-grid",
+            columnDefs=COLUMN_DEFS,
+            rowData=assay.to_dict("records"),
+            columnSize="autoSize",
+            dashGridOptions={
+                "theme": "themeAlpine",
+                "pagination": True,
+                "paginationPageSize": 20,
+                "paginationPageSizeSelector": [20, 50, 100],
+            },
+            defaultColDef={
+                "filter": True,
+                "floatingFilter": True,
+                "sortable": True,
+                "resizable": True,
+                "minWidth": 100,
+            },
+            style={"height": "600px"},
+        ),
+    ], gap="md", p="md")
diff --git a/drillholes-demo/pages/comparison.py b/drillholes-demo/pages/comparison.py
new file mode 100644
index 0000000..a4d6ed3
--- /dev/null
+++ b/drillholes-demo/pages/comparison.py
@@ -0,0 +1,202 @@
+"""
+Comparison page — compare Au/Cu/Ag grade profiles across multiple holes
+side by side, with shared depth axis.
+"""
+
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+from dash import html, dcc
+import dash_mantine_components as dmc
+import plotly.express as px
+
+from utils import load_data, CHART_LAYOUT, GRADE_COLORS, GRADE_LABELS
+
+
+DEFAULT_HOLES  = ["DH001", "DH002", "DH003", "DH004", "DH005"]
+DEFAULT_GRADE  = "Au_ppm"
+SUBPLOT_COLORS = px.colors.qualitative.Set2
+
+
+def build_comparison_figure(selected_holes, grade_col):
+    collar, assay, lith, _ = load_data()
+
+    if not selected_holes:
+        fig = go.Figure()
+        fig.update_layout(**{**CHART_LAYOUT, "height": 500,
+                             "title_text": "Select at least one hole"})
+        return fig
+
+    n = len(selected_holes)
+    grade_label = GRADE_LABELS.get(grade_col, grade_col)
+
+    fig = make_subplots(
+        rows=1, cols=n,
+        shared_yaxes=True,
+        subplot_titles=selected_holes,
+        horizontal_spacing=max(0.01, 0.04 - 0.003 * n),
+    )
+    for ann in fig.layout.annotations:
+        ann.font = dict(size=10, color="#495057")
+
+    for i, hole_id in enumerate(selected_holes, start=1):
+        hole_assay = assay[assay["HOLEID"] == hole_id].sort_values("FROM")
+        if hole_assay.empty:
+            continue
+
+        mid_depths = (hole_assay["FROM"] + hole_assay["TO"]) / 2
+        widths      = hole_assay["TO"] - hole_assay["FROM"]
+        color       = SUBPLOT_COLORS[(i - 1) % len(SUBPLOT_COLORS)]
+
+        grade_max = float(hole_assay[grade_col].quantile(0.98)) or 1.0
+
+        fig.add_trace(go.Bar(
+            x=hole_assay[grade_col],
+            y=mid_depths,
+            orientation="h",
+            width=widths,
+            marker=dict(
+                color=hole_assay[grade_col],
+                colorscale=[
+                    [0,   "#f0f0f0"],
+                    [0.4, color],
+                    [1.0, "#212529"],
+                ],
+                cmin=0, cmax=grade_max,
+                showscale=False,
+                line_width=0,
+            ),
+            name=hole_id,
+            showlegend=False,
+            hovertemplate=f"<b>{hole_id}</b><br>Depth: %{{y:.1f}} m<br>{grade_label}: %{{x:.4g}}<extra></extra>",
+        ), row=1, col=i)
+
+        # Best intercept annotation
+        peak_idx = hole_assay[grade_col].idxmax()
+        peak_row = hole_assay.loc[peak_idx]
+        fig.add_annotation(
+            x=float(peak_row[grade_col]),
+            y=float((peak_row["FROM"] + peak_row["TO"]) / 2),
+            xref=f"x{i}" if i > 1 else "x",
+            yref="y",
+            text=f"  {peak_row[grade_col]:.2g} ←peak",
+            showarrow=False,
+            font=dict(size=8, color="#d48806"),
+            xanchor="left",
+        )
+
+        fig.update_xaxes(
+            title_text=grade_label,
+            title_font=dict(color="#495057", size=10),
+            showgrid=True, gridcolor="#e9ecef",
+            tickfont=dict(color="#6c757d", size=8),
+            zeroline=True, zerolinecolor="#ced4da",
+            row=1, col=i,
+        )
+
+    fig.update_yaxes(
+        autorange="reversed",
+        title_text="Depth (m ↓)",
+        showgrid=True, gridcolor="#e9ecef",
+        tickfont=dict(color="#6c757d"),
+        title_font=dict(color="#495057"),
+        row=1, col=1,
+    )
+    fig.update_layout(**{
+        **CHART_LAYOUT,
+        "height": 650,
+        "margin": dict(l=60, r=20, t=45, b=50),
+        "bargap": 0, "bargroupgap": 0,
+        "hoverlabel": dict(bgcolor="#ffffff", font_color="#212529", bordercolor="#dee2e6"),
+        "title_text": f"{grade_label} Grade Profile Comparison",
+        "title_font": dict(color="#212529", size=13),
+    })
+    return fig
+
+
+def layout():
+    collar, assay, _, _ = load_data()
+    all_hole_ids = sorted(collar["HOLEID"].tolist())
+
+    default_total_m = int(collar.loc[collar["HOLEID"].isin(DEFAULT_HOLES), "TOTDEPTH"].sum())
+
+    badge_strip = dmc.Group(gap="sm", id="comparison-badges", children=[
+        dmc.Badge(f"Holes selected: {len(DEFAULT_HOLES)}", color="orange", variant="light",
+                  id="badge-hole-count", size="lg"),
+        dmc.Badge(f"Combined meters: {default_total_m:,} m", color="gray", variant="light",
+                  id="badge-total-meters", size="lg"),
+        dmc.Badge(f"Grade: {GRADE_LABELS[DEFAULT_GRADE]}", color="orange", variant="filled",
+                  id="badge-grade", size="lg"),
+    ])
+
+    return dmc.Stack([
+        # Header + badge strip
+        dmc.Group([
+            html.Div([
+                html.P("Grade Profile Comparison", className="section-title"),
+                html.P(
+                    "Side-by-side grade profiles across selected holes on a shared depth axis.",
+                    className="section-description",
+                ),
+            ], style={"flex": 1}),
+            badge_strip,
+        ], justify="space-between", align="center", wrap="nowrap"),
+
+        dmc.Grid(gutter="md", children=[
+            # Controls panel
+            dmc.GridCol(
+                dmc.Paper([
+                    html.P("Grade Type", className="section-title"),
+                    html.P(
+                        "Au = gold (g/t). Cu = copper (%). Ag = silver (ppm).",
+                        className="section-description",
+                    ),
+                    dmc.SegmentedControl(
+                        id="grade-selector",
+                        data=[
+                            {"value": "Au_ppm", "label": "Au (g/t)"},
+                            {"value": "Cu_pct", "label": "Cu (%)"},
+                            {"value": "Ag_ppm", "label": "Ag (ppm)"},
+                        ],
+                        value=DEFAULT_GRADE,
+                        color="orange",
+                        size="xs",
+                        fullWidth=True,
+                        mb="md",
+                    ),
+                    html.P("Select Holes (up to 10)", className="section-title"),
+                    dmc.CheckboxGroup(
+                        id="hole-checklist",
+                        value=DEFAULT_HOLES,
+                        children=dmc.Stack([
+                            dmc.Checkbox(
+                                label=h, value=h,
+                                styles={"label": {"color": "#495057", "fontSize": "0.8rem"}},
+                            )
+                            for h in all_hole_ids[:20]
+                        ], gap=6),
+                    ),
+                ], p="md", radius="md", withBorder=True, className="chart-paper",
+                   style={"maxHeight": "700px", "overflowY": "auto"}),
+                span={"base": 12, "md": 3},
+            ),
+
+            # Comparison chart
+            dmc.GridCol(
+                dmc.Paper([
+                    html.P("Grade Profiles", className="section-title"),
+                    html.P(
+                        "Each panel is one hole's grade profile vs. downhole depth on a shared Y-axis. "
+                        "Peak-grade interval is annotated.",
+                        className="section-description",
+                    ),
+                    dcc.Graph(
+                        id="comparison-chart",
+                        figure=build_comparison_figure(DEFAULT_HOLES, DEFAULT_GRADE),
+                        config={"displayModeBar": True, "scrollZoom": True},
+                        style={"height": "650px"},
+                    ),
+                ], p="md", radius="md", withBorder=True, className="chart-paper"),
+                span={"base": 12, "md": 9},
+            ),
+        ]),
+    ], gap="md")
diff --git a/drillholes-demo/pages/cross_section.py b/drillholes-demo/pages/cross_section.py
new file mode 100644
index 0000000..4b6ef5a
--- /dev/null
+++ b/drillholes-demo/pages/cross_section.py
@@ -0,0 +1,543 @@
+"""
+Cross-Section page — showcases Plotly.js multi-axis shapes.
+
+Each geological formation contact is a line shape whose left endpoint
+anchors to one subplot x-axis and the right endpoint anchors to a DIFFERENT
+subplot x-axis, via the new xref array syntax: xref=["x", "x2"].
+When the user pans or zooms col 1, only the left endpoint pixel moves;
+the right endpoint stays locked to col 2's coordinate system — correct
+geological cross-section behaviour.
+"""
+
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+from dash import html, dcc
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+import dash_tour_component as dtc
+import numpy as np
+
+from utils import load_data, CHART_LAYOUT, LITH_COLORS, compute_trace_easting_elevation, kpi_card
+from components.overview_widgets import collar_map, summary_table, depth_histogram
+
+# Formation contacts: approximate elevations (m RL) at deposit centre
+FORMATION_CONTACTS = [
+    {"name": "Alluvium / Weathered Granite",  "elev": 382, "color": "#8B6914", "dip_m_per_m": 0.04},
+    {"name": "Weathered Granite / Granite",   "elev": 350, "color": "#7B5C2A", "dip_m_per_m": 0.06},
+    {"name": "Granite / Quartz Diorite",      "elev": 290, "color": "#6B4E2A", "dip_m_per_m": 0.08},
+    {"name": "Porphyry Top (mineralised)",    "elev": 220, "color": "#A0522D", "dip_m_per_m": 0.10},
+]
+
+AXIS_STYLE = dict(
+    showgrid=True, gridcolor="#e9ecef",
+    tickfont=dict(color="#6c757d"),
+    title_font=dict(color="#495057"),
+    zeroline=False,
+)
+
+CS_TOUR_STEPS = [
+    {
+        "selector": "#cs-chart-paper",
+        "content": "Welcome to Cross-Section View! Step through to discover all the interactive features on this page.",
+        "position": "bottom",
+    },
+    {
+        "selector": "#cross-section-chart",
+        "content": "Hover anywhere on the chart — a gold cursor line tracks your elevation across all three panels simultaneously. Click once to pin a start elevation, then click again to measure the vertical distance between any two contacts.",
+        "position": "right",
+    },
+    {
+        "selector": "#cross-section-chart",
+        "content": "Drag the Elevation (Y) axis — hover the tick labels on the left edge, then drag up or down to pan the elevation range. Scroll over the axis to zoom into any elevation band. Double-click anywhere to reset.",
+        "position": "right",
+    },
+    {
+        "selector": "#cross-section-chart",
+        "content": "Each of the three panels has its own independent X-axis. Scroll or drag within Section A to zoom its grade range — Sections B and C stay exactly where they are.",
+        "position": "top",
+    },
+    {
+        "selector": "#cs-formation-legend",
+        "content": "These dotted formation contact lines span all three panels simultaneously. Each endpoint is anchored to its own panel axis — zoom Section A and only its segment moves, keeping the geology correct.",
+        "position": "bottom",
+    },
+]
+
+
+def _build_figure(collar, survey, orientation="EW"):
+    """
+    Build the cross-section figure with multi-axis formation shapes.
+    orientation: "EW" groups holes by northing thirds; "NS" by easting thirds.
+    """
+    if orientation == "EW":
+        sort_col, split_col = "NORTH", "EAST"
+        x_title = "Easting (m)"
+    else:
+        sort_col, split_col = "EAST", "NORTH"
+        x_title = "Northing (m)"
+
+    sorted_collar = collar.sort_values(sort_col).reset_index(drop=True)
+    n = len(sorted_collar)
+    thirds = [
+        sorted_collar.iloc[: n // 3],
+        sorted_collar.iloc[n // 3: 2 * n // 3],
+        sorted_collar.iloc[2 * n // 3:],
+    ]
+    section_labels = ["Section A (South)" if orientation == "EW" else "Section A (West)",
+                      "Section B (Central)",
+                      "Section C (North)" if orientation == "EW" else "Section C (East)"]
+
+    fig = make_subplots(
+        rows=1, cols=3,
+        shared_yaxes=False,
+        column_widths=[0.33, 0.34, 0.33],
+        subplot_titles=section_labels,
+        horizontal_spacing=0.04,
+    )
+
+    for ann in fig.layout.annotations:
+        ann.font = dict(size=11, color="#495057")
+
+    colors = ["#1971c2", "#2f9e44", "#e67700", "#c92a2a", "#862e9c",
+              "#0c8599", "#1864ab", "#5c940d", "#e67700", "#a61e4d"]
+
+    for col_idx, (section_holes, _) in enumerate(zip(thirds, section_labels), start=1):
+        for hi, (_, hole) in enumerate(section_holes.iterrows()):
+            east_list, elev_list = compute_trace_easting_elevation(
+                hole["HOLEID"], collar, survey
+            )
+            x_vals = east_list if orientation == "EW" else [hole["NORTH"]] * len(east_list)
+
+            fig.add_trace(go.Scatter(
+                x=x_vals,
+                y=elev_list,
+                mode="lines",
+                line=dict(color=colors[hi % len(colors)], width=2),
+                name=hole["HOLEID"],
+                hovertemplate=(
+                    f"<b>{hole['HOLEID']}</b><br>"
+                    f"{x_title[:-4]}: %{{x:.0f}} m<br>"
+                    "Elevation RL: %{y:.0f} m<extra></extra>"
+                ),
+                legendgroup=hole["HOLEID"],
+                showlegend=(col_idx == 1),
+            ), row=1, col=col_idx)
+
+            x0 = east_list[0] if orientation == "EW" else hole["NORTH"]
+            fig.add_trace(go.Scatter(
+                x=[x0],
+                y=[elev_list[0]],
+                mode="markers+text",
+                marker=dict(color=colors[hi % len(colors)], size=7, symbol="triangle-down"),
+                text=[hole["HOLEID"]] if hi == 0 else [],
+                textposition="top center",
+                textfont=dict(size=7, color="#6c757d"),
+                showlegend=False,
+                hoverinfo="skip",
+                legendgroup=hole["HOLEID"],
+            ), row=1, col=col_idx)
+
+    # ─── Multi-axis formation contact shapes ─────────────────────────────────
+    def section_x_range(section_holes):
+        xs = section_holes["EAST"].tolist() if orientation == "EW" else section_holes["NORTH"].tolist()
+        if not xs:
+            return 350000, 350600
+        return min(xs) - 20, max(xs) + 20
+
+    x_ranges = [section_x_range(s) for s in thirds]
+    mids     = [(lo + hi) / 2 for lo, hi in x_ranges]
+
+    # ─── Sentinel traces for plot-wide hover ─────────────────────────────────
+    # Invisible scatter points spanning the elevation range ensure hoverData
+    # fires anywhere in the chart, not just near actual hole trace data.
+    elev_sentinel = list(np.linspace(50, 450, 150))
+    for col_idx, x_range in enumerate(x_ranges, start=1):
+        x_mid = (x_range[0] + x_range[1]) / 2
+        fig.add_trace(go.Scatter(
+            x=[x_mid] * len(elev_sentinel),
+            y=elev_sentinel,
+            mode="markers",
+            marker=dict(opacity=0, size=3),
+            hoverinfo="skip",
+            showlegend=False,
+        ), row=1, col=col_idx)
+
+    # ─── Elevation cursor + measure shapes (one per panel) ────────────────────
+    # Each shape anchored to its own yref so they align correctly even when
+    # panels are zoomed independently.
+    for cidx, (xref, yref, x_range) in enumerate(
+        zip(["x", "x2", "x3"], ["y", "y2", "y3"], x_ranges), start=1
+    ):
+        fig.add_shape(
+            type="line",
+            x0=x_range[0], x1=x_range[1],
+            y0=-1000, y1=-1000,
+            xref=xref, yref=yref,
+            line=dict(color="#e8a020", width=1.5, dash="dash"),
+            name=f"elev-cursor-{cidx}",
+            visible=False,
+        )
+        fig.add_shape(
+            type="rect",
+            x0=x_range[0], x1=x_range[1],
+            y0=0, y1=0,
+            xref=xref, yref=yref,
+            fillcolor="rgba(232,160,32,0.12)",
+            line=dict(color="#e8a020", width=1),
+            name=f"measure-span-{cidx}",
+            visible=False,
+        )
+
+    for contact in FORMATION_CONTACTS:
+        elev_base = contact["elev"]
+        dip       = contact["dip_m_per_m"]
+        color     = contact["color"]
+
+        # Elevation at each panel's (lo, hi) x-edge, computed from the dip slope
+        ys = [
+            (elev_base + dip * (x_ranges[i][0] - mids[i]),
+             elev_base + dip * (x_ranges[i][1] - mids[i]))
+            for i in range(3)
+        ]
+
+        # Single multi-axis path traversing both panels and the gaps between them.
+        # Each coordinate in the path maps to the matching xref entry.
+        fig.add_shape(
+            type="path",
+            path=(
+                f"M {x_ranges[0][0]} {ys[0][0]} "
+                f"L {x_ranges[0][1]} {ys[0][1]} "
+                f"L {x_ranges[1][0]} {ys[1][0]} "
+                f"L {x_ranges[1][1]} {ys[1][1]} "
+                f"L {x_ranges[2][0]} {ys[2][0]} "
+                f"L {x_ranges[2][1]} {ys[2][1]}"
+            ),
+            xref=["x", "x",  "x2", "x2", "x3", "x3"],
+            yref=["y", "y",  "y2", "y2", "y3", "y3"],
+            line=dict(color=color, width=1.5, dash="dot"),
+            layer="below",
+        )
+
+        # Label at right edge of col3, anchored to panel 3's own y-axis.
+        x_col3_right = x_ranges[2][1]
+        elev_label   = ys[2][1]
+        fig.add_annotation(
+            x=x_col3_right,
+            y=elev_label,
+            xref="x3", yref="y3",
+            text=contact["name"],
+            showarrow=False,
+            xanchor="left",
+            font=dict(size=9, color=color),
+            bgcolor="rgba(255,255,255,0.85)",
+        )
+
+    # ─── Spanning Mineralised Porphyry Zone rect ─────────────────────────────
+    porphyry_top    = 220
+    porphyry_bottom = 90
+
+    fig.add_shape(
+        type="rect",
+        xref=["x", "x3"],
+        yref=["y", "y3"],
+        x0=x_ranges[0][0], y0=porphyry_bottom,
+        x1=x_ranges[2][1], y1=porphyry_top,
+        fillcolor="rgba(232, 160, 32, 0.10)",
+        line=dict(color="#e8a020", width=1, dash="dash"),
+        layer="below",
+        label=dict(
+            text="Mineralised Porphyry Zone",
+            textposition="top left",
+            font=dict(size=10, color="#d48806", family="Inter, sans-serif"),
+            padding=6,
+        ),
+    )
+
+    # ─── Layout ──────────────────────────────────────────────────────────────
+    fig.update_layout(**{
+        **CHART_LAYOUT,
+        "height": 600,
+        "margin": dict(l=60, r=140, t=50, b=50),
+        "hovermode": "closest",
+        "legend": dict(
+            bgcolor="#ffffff",
+            bordercolor="#dee2e6",
+            font=dict(color="#495057", size=9),
+            orientation="v",
+            x=1.01, y=1,
+        ),
+        "hoverlabel": dict(bgcolor="#ffffff", font_color="#212529", bordercolor="#dee2e6"),
+    })
+
+    for col_idx in range(1, 4):
+        fig.update_yaxes(
+            title_text="Elevation RL (m)" if col_idx == 1 else None,
+            showgrid=True, gridcolor="#e9ecef",
+            tickfont=dict(color="#6c757d"),
+            title_font=dict(color="#495057"),
+            zeroline=False,
+            range=[150, 450],
+            row=1, col=col_idx,
+        )
+        fig.update_xaxes(
+            title_text=x_title,
+            showgrid=True, gridcolor="#e9ecef",
+            tickfont=dict(color="#6c757d"),
+            title_font=dict(color="#495057"),
+            zeroline=False,
+            row=1, col=col_idx,
+        )
+
+    return fig
+
+
+def layout():
+    collar, assay, lith, survey = load_data()
+
+    total_holes  = len(collar)
+    total_meters = int(collar["TOTDEPTH"].sum())
+    east_range   = collar["EAST"].max() - collar["EAST"].min()
+    north_range  = collar["NORTH"].max() - collar["NORTH"].min()
+    area_km2     = (east_range * north_range) / 1e6
+
+    formation_legend = dmc.Group(
+        id="cs-formation-legend",
+        gap="md",
+        children=[
+            dmc.Group(gap="xs", children=[
+                html.Span(style={
+                    "display": "inline-block",
+                    "width": "24px", "height": "3px",
+                    "borderTop": f"2px dotted {c['color']}",
+                    "verticalAlign": "middle",
+                }),
+                dmc.Text(c["name"], size="xs", c="dimmed"),
+            ])
+            for c in FORMATION_CONTACTS
+        ],
+    )
+
+    feature_chips = dmc.Group(gap="xs", mt="xs", mb="xs", children=[
+        dmc.Tooltip(
+            label="Hover the Elevation (Y) axis tick labels and drag up/down to pan · scroll over the axis to zoom · double-click anywhere to reset",
+            multiline=True, w=300, withArrow=True, position="bottom",
+            children=dmc.Badge("↕ Drag Y-Axis", color="blue", variant="light", size="sm",
+                               style={"cursor": "help"}),
+        ),
+    ])
+
+    things_to_try = dmc.Paper([
+        dmc.Group(gap="xs", mb="sm", children=[
+            DashIconify(icon="tabler:bulb", width=16, color="#e8a020"),
+            dmc.Text("Things to Try", fw=600, size="sm", c="orange"),
+        ]),
+        dmc.Stack(gap="sm", children=[
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:arrows-up-down", width=14),
+                    size="sm", variant="light", color="blue", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Drag the Elevation (Y) axis", fw=600, size="xs"),
+                    dmc.Text(
+                        "Hover the tick labels on the left edge and drag up or down to pan. "
+                        "Scroll over the axis to zoom into any elevation band.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:zoom", width=14),
+                    size="sm", variant="light", color="teal", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Zoom any single panel independently", fw=600, size="xs"),
+                    dmc.Text(
+                        "Each section panel has its own X-axis. Scroll or drag within Section A — "
+                        "Sections B and C are completely unaffected.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:line-dashed", width=14),
+                    size="sm", variant="light", color="orange", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Watch the formation contacts span all panels", fw=600, size="xs"),
+                    dmc.Text(
+                        "Dotted lines and the Porphyry Zone rect are anchored to each panel's own axis "
+                        "via xref/yref arrays. Zoom Section A — only its segment moves.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:rotate-2", width=14),
+                    size="sm", variant="light", color="gray", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Double-click to reset view", fw=600, size="xs"),
+                    dmc.Text(
+                        "Double-click anywhere on the chart to reset all axes to their default range.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:crosshair", width=14),
+                    size="sm", variant="light", color="grape", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Hover to track elevation · click to pin", fw=600, size="xs"),
+                    dmc.Text(
+                        "A gold cursor line tracks your elevation across all three panels simultaneously. "
+                        "Click anywhere to pin the marker at that elevation.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+        ]),
+    ], p="md", radius="md", withBorder=True, className="tip-paper")
+
+    return [
+        dtc.DashTour(
+            id="cs-tour",
+            isOpen=False,
+            accentColor="#e8a020",
+            rounded=8,
+            showNumber=True,
+            steps=CS_TOUR_STEPS,
+        ),
+
+        dmc.Stack([
+            things_to_try,
+
+            dmc.SimpleGrid(
+                cols={"base": 2, "md": 4},
+                spacing="md",
+                children=[
+                    kpi_card("Total Holes",    str(total_holes),      "drillholes in program",    icon="tabler:drone"),
+                    kpi_card("Meters Drilled", f"{total_meters:,} m", "cumulative penetration",   icon="tabler:ruler-measure"),
+                    kpi_card("Prospect Area",  f"{area_km2:.2f} km²", "surface footprint",        icon="tabler:map-pin"),
+                    kpi_card("Section Panels", "3",                   "South · Central · North",  icon="tabler:chart-grid-dots"),
+                ],
+            ),
+
+            # Cross-section chart card
+            dmc.Paper([
+                dmc.Group([
+                    html.Div([
+                        html.P("Cross-Section View", className="section-title"),
+                        html.P(
+                            "Three geographic panels. Drag the Elevation axis to pan · "
+                            "scroll to zoom · hover a panel's X-axis to zoom grade independently.",
+                            className="section-description",
+                        ),
+                    ], style={"flex": 1}),
+                    html.Div(
+                        id="cs-orientation-group",
+                        children=dmc.Group(gap="xs", align="center", children=[
+                            dmc.Button(
+                                dmc.Group([DashIconify(icon="tabler:help", width=13), "Tour"],
+                                          gap=4, align="center"),
+                                id="cs-tour-btn",
+                                variant="subtle",
+                                color="gray",
+                                size="xs",
+                            ),
+                            dmc.SegmentedControl(
+                                id="section-orientation",
+                                data=[
+                                    {"value": "EW", "label": "E–W Sections"},
+                                    {"value": "NS", "label": "N–S Sections"},
+                                ],
+                                value="EW",
+                                color="orange",
+                                size="xs",
+                            ),
+                        ]),
+                    ),
+                ], justify="space-between", align="flex-start", wrap="nowrap", mb="xs"),
+
+                # Feature interaction chips
+                feature_chips,
+
+                formation_legend,
+
+                # Chart with Y-axis hint overlay
+                html.Div(
+                    style={"position": "relative"},
+                    children=[
+                        html.Div(
+                            id="cs-yaxis-hint",
+                            className="y-axis-hint",
+                            children=[
+                                DashIconify(icon="tabler:arrows-up-down", width=10, color="#adb5bd"),
+                                " drag · scroll to zoom",
+                            ],
+                        ),
+                        dcc.Graph(
+                            id="cross-section-chart",
+                            figure=_build_figure(collar, survey, "EW"),
+                            config={"displayModeBar": True, "scrollZoom": True},
+                            style={"height": "600px", "marginTop": "8px"},
+                        ),
+                    ],
+                ),
+            ], id="cs-chart-paper", p="md", radius="md", withBorder=True, className="chart-paper"),
+
+            dmc.Grid(gutter="md", children=[
+                dmc.GridCol(
+                    dmc.Paper([
+                        html.P("Collar Plan Map", className="section-title"),
+                        html.P(
+                            "Plan view of drillhole collar positions. Marker colour = total depth drilled. "
+                            "Equal-aspect projection preserves true spatial relationships.",
+                            className="section-description",
+                        ),
+                        dcc.Graph(
+                            figure=collar_map(collar),
+                            config={"displayModeBar": False, "scrollZoom": True},
+                        ),
+                    ], p="md", radius="md", withBorder=True, className="chart-paper"),
+                    span={"base": 12, "md": 8},
+                ),
+                dmc.GridCol(
+                    dmc.Paper([
+                        html.P("Hole Summary", className="section-title"),
+                        html.P(
+                            "AZ = azimuth from North. DIP = downhole inclination (negative = sub-vertical).",
+                            className="section-description",
+                        ),
+                        html.Div(summary_table(collar), className="table-scroll"),
+                        dmc.Text(
+                            f"Showing 20 of {total_holes} holes · scroll for more",
+                            size="xs", c="dimmed", mt="xs",
+                        ),
+                    ], p="md", radius="md", withBorder=True, className="chart-paper"),
+                    span={"base": 12, "md": 4},
+                ),
+            ]),
+
+            # Depth distribution
+            dmc.Paper([
+                html.P("Hole Depth Distribution", className="section-title"),
+                html.P(
+                    "Most holes target the 200–350 m depth range where the Au-Cu mineralized porphyry sits. "
+                    "Shallower holes test the weathered zone; deeper holes test the fresh granite footwall.",
+                    className="section-description",
+                ),
+                dcc.Graph(figure=depth_histogram(collar), config={"displayModeBar": False}),
+            ], p="md", radius="md", withBorder=True, className="chart-paper"),
+        ], gap="md"),
+    ]
diff --git a/drillholes-demo/pages/downhole_logs.py b/drillholes-demo/pages/downhole_logs.py
new file mode 100644
index 0000000..7148832
--- /dev/null
+++ b/drillholes-demo/pages/downhole_logs.py
@@ -0,0 +1,430 @@
+"""
+Downhole Logs page — showcases Plotly.js plot-wide hover/click events.
+
+Two new-feature demonstrations:
+1. Depth cursor: a horizontal gold line that tracks the mouse across ALL
+   four strip-log panels simultaneously, even over empty areas between
+   data points (plot-wide hover events via transparent sentinel traces +
+   clientside callback for zero-latency response).
+
+2. Click-to-measure: clicking anywhere on the plot (plot-wide click events)
+   records a start depth, then a second click computes the interval
+   thickness and draws a shaded span across all panels.
+"""
+
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+from dash import html, dcc
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+import dash_tour_component as dtc
+import numpy as np
+import pandas as pd
+
+from utils import load_data, CHART_LAYOUT, LITH_COLORS, LITH_ORDER
+
+DL_TOUR_STEPS = [
+    {
+        "selector": "#strip-log-chart-paper",
+        "content": "Welcome to Downhole Logs! Step through to discover all the interactive features on this page.",
+        "position": "bottom",
+    },
+    {
+        "selector": "#strip-log-chart",
+        "content": "Hover anywhere on the chart — even over lithology blocks and empty areas — to see a gold dashed cursor track depth across all four panels simultaneously.",
+        "position": "right",
+    },
+    {
+        "selector": "#strip-log-chart",
+        "content": "Click once anywhere to mark a start depth (a gold line snaps to that position). Then click a second time to measure the interval — a shaded span appears across all panels and the exact thickness is shown.",
+        "position": "right",
+    },
+    {
+        "selector": "#hole-selector",
+        "content": "Use this dropdown to switch between drillholes. All four panels update together.",
+        "position": "bottom",
+    },
+]
+
+
+def _strip_log_figure(hole_id: str, collar, assay, lith, survey) -> go.Figure:
+    hole_assay  = assay[assay["HOLEID"] == hole_id].sort_values("FROM")
+    hole_lith   = lith[lith["HOLEID"]   == hole_id].sort_values("FROM")
+    hole_survey = survey[survey["HOLEID"] == hole_id].sort_values("DEPTH")
+    hole_collar = collar[collar["HOLEID"] == hole_id].iloc[0]
+
+    max_depth = float(hole_collar["TOTDEPTH"])
+    depth_range = list(np.arange(0, max_depth + 5, 5))
+
+    fig = make_subplots(
+        rows=1, cols=4,
+        shared_yaxes=True,
+        column_widths=[0.14, 0.30, 0.30, 0.26],
+        subplot_titles=["Lithology", "Au Grade (g/t)", "Cu Grade (%)", "Hole Deviation (°)"],
+        horizontal_spacing=0.03,
+    )
+
+    for ann in fig.layout.annotations:
+        ann.font = dict(size=11, color="#495057")
+
+    # ── Col 1: Lithology rectangles ─────────────────────────────────────────
+    for _, row in hole_lith.iterrows():
+        color = LITH_COLORS.get(row["LITHOLOGY"], "#aaa")
+        fig.add_shape(
+            type="rect",
+            x0=0, x1=1,
+            y0=row["FROM"], y1=row["TO"],
+            xref="x", yref="y",
+            fillcolor=color,
+            line_width=0,
+            layer="below",
+        )
+        mid = (row["FROM"] + row["TO"]) / 2
+        if row["TO"] - row["FROM"] >= 8:
+            fig.add_annotation(
+                x=0.5, y=mid,
+                text=row["LITHOLOGY"],
+                xref="x", yref="y",
+                showarrow=False,
+                font=dict(size=8, color="#212529"),
+                bgcolor="rgba(255,255,255,0.75)",
+                borderpad=2,
+            )
+
+    # Invisible trace on col1 so axis is registered
+    fig.add_trace(go.Scatter(
+        x=[0.5] * len(depth_range),
+        y=depth_range,
+        mode="markers",
+        marker=dict(opacity=0, size=1),
+        hoverinfo="skip",
+        showlegend=False,
+    ), row=1, col=1)
+
+    fig.update_xaxes(
+        showticklabels=False, showgrid=False, zeroline=False,
+        range=[0, 1], row=1, col=1,
+    )
+
+    # ── Col 2: Au grade bars ─────────────────────────────────────────────────
+    mid_depths = (hole_assay["FROM"] + hole_assay["TO"]) / 2
+    widths      = hole_assay["TO"] - hole_assay["FROM"]
+
+    fig.add_trace(go.Bar(
+        x=hole_assay["Au_ppm"],
+        y=mid_depths,
+        orientation="h",
+        width=widths,
+        marker=dict(
+            color=hole_assay["Au_ppm"],
+            colorscale=[[0, "#f8f9fa"], [0.3, "#e8a020"], [1, "#ff6b35"]],
+            cmin=0, cmax=float(hole_assay["Au_ppm"].quantile(0.99)),
+            showscale=False,
+            line_width=0,
+        ),
+        hovertemplate="Depth: %{y:.1f} m<br>Au: %{x:.3f} g/t<extra></extra>",
+        name="Au (g/t)",
+        showlegend=False,
+    ), row=1, col=2)
+
+    # Sentinel trace for hover coverage on col2
+    fig.add_trace(go.Scatter(
+        x=[0] * len(depth_range), y=depth_range,
+        mode="markers", marker=dict(opacity=0, size=3),
+        hoverinfo="skip", showlegend=False,
+    ), row=1, col=2)
+
+    # ── Col 3: Cu grade bars ─────────────────────────────────────────────────
+    fig.add_trace(go.Bar(
+        x=hole_assay["Cu_pct"],
+        y=mid_depths,
+        orientation="h",
+        width=widths,
+        marker=dict(
+            color=hole_assay["Cu_pct"],
+            colorscale=[[0, "#f8f9fa"], [0.3, "#FF8C00"], [1, "#ff4444"]],
+            cmin=0, cmax=float(hole_assay["Cu_pct"].quantile(0.99)),
+            showscale=False,
+            line_width=0,
+        ),
+        hovertemplate="Depth: %{y:.1f} m<br>Cu: %{x:.4f} %<extra></extra>",
+        name="Cu (%)",
+        showlegend=False,
+    ), row=1, col=3)
+
+    fig.add_trace(go.Scatter(
+        x=[0] * len(depth_range), y=depth_range,
+        mode="markers", marker=dict(opacity=0, size=3),
+        hoverinfo="skip", showlegend=False,
+    ), row=1, col=3)
+
+    # ── Col 4: Survey dip line ────────────────────────────────────────────────
+    fig.add_trace(go.Scatter(
+        x=hole_survey["DIP"],
+        y=hole_survey["DEPTH"],
+        mode="lines+markers",
+        line=dict(color="#1971c2", width=2),
+        marker=dict(size=4, color="#1971c2"),
+        hovertemplate="Depth: %{y:.1f} m<br>Dip: %{x:.1f}° from vertical<extra></extra>",
+        name="Dip (°)",
+        showlegend=False,
+    ), row=1, col=4)
+
+    fig.add_trace(go.Scatter(
+        x=[hole_survey["DIP"].mean()] * len(depth_range), y=depth_range,
+        mode="markers", marker=dict(opacity=0, size=3),
+        hoverinfo="skip", showlegend=False,
+    ), row=1, col=4)
+
+    # ── Depth cursor shape ──────────────────────────────────────────────────
+    # xref="paper" spans the full plot width across all 4 panels.
+    # Updated by a clientside callback on hoverData (plot-wide hover feature).
+    fig.add_shape(
+        type="line",
+        x0=0, x1=1,
+        y0=-10, y1=-10,
+        xref="paper", yref="y",
+        line=dict(color="#e8a020", width=1.5, dash="dash"),
+        name="depth-cursor",
+        visible=False,
+    )
+
+    # ── Measurement span shape (hidden initially) ────────────────────────────
+    fig.add_shape(
+        type="rect",
+        x0=0, x1=1,
+        y0=0, y1=0,
+        xref="paper", yref="y",
+        fillcolor="rgba(232,160,32,0.12)",
+        line=dict(color="#e8a020", width=1),
+        name="measure-span",
+        visible=False,
+    )
+
+    # ── Layout ────────────────────────────────────────────────────────────────
+    fig.update_yaxes(
+        autorange="reversed",
+        title_text="Depth (m ↓ downhole)",
+        showgrid=True, gridcolor="#e9ecef",
+        tickfont=dict(color="#6c757d"),
+        title_font=dict(color="#495057"),
+        range=[max_depth + 5, -5],
+        row=1, col=1,
+    )
+    for col_idx in range(2, 5):
+        fig.update_xaxes(
+            showgrid=True, gridcolor="#e9ecef",
+            tickfont=dict(color="#6c757d"),
+            zeroline=True, zerolinecolor="#ced4da",
+            row=1, col=col_idx,
+        )
+    fig.update_xaxes(
+        title_text="Au (g/t) — gold grade", title_font=dict(color="#495057"), row=1, col=2,
+    )
+    fig.update_xaxes(
+        title_text="Cu (%) — copper grade", title_font=dict(color="#495057"), row=1, col=3,
+    )
+    fig.update_xaxes(
+        title_text="Dip (°) from vertical", title_font=dict(color="#495057"), row=1, col=4,
+    )
+
+    fig.update_layout(**{
+        **CHART_LAYOUT,
+        "height": 750,
+        "margin": dict(l=60, r=20, t=40, b=50),
+        "hovermode": "y",
+        "hoverdistance": 30,
+        "bargap": 0,
+        "bargroupgap": 0,
+        "hoverlabel": dict(bgcolor="#ffffff", font_color="#212529", bordercolor="#dee2e6"),
+    })
+
+    return fig
+
+
+def layout():
+    collar, assay, lith, survey = load_data()
+    hole_ids = sorted(collar["HOLEID"].tolist())
+    default_hole = hole_ids[0]
+
+    default_depth = int(collar.loc[collar["HOLEID"] == default_hole, "TOTDEPTH"].iloc[0])
+    default_lith_count = int(lith[lith["HOLEID"] == default_hole].shape[0])
+
+    things_to_try = dmc.Paper([
+        dmc.Group(gap="xs", mb="sm", children=[
+            DashIconify(icon="tabler:bulb", width=16, color="#e8a020"),
+            dmc.Text("Things to Try", fw=600, size="sm", c="orange"),
+        ]),
+        dmc.Stack(gap="sm", children=[
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:arrow-move-down", width=14),
+                    size="sm", variant="light", color="orange", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Hover to track depth", fw=600, size="xs"),
+                    dmc.Text(
+                        "The gold depth cursor tracks your mouse across all four panels simultaneously, "
+                        "even over lithology rectangles and empty areas.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:vector-triangle", width=14),
+                    size="sm", variant="light", color="grape", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Click once · click again to measure", fw=600, size="xs"),
+                    dmc.Text(
+                        "Click anywhere to mark a start depth (a gold line appears and the readout confirms it). "
+                        "Click a second time — the shaded span and thickness annotation appear across all panels.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:rotate-2", width=14),
+                    size="sm", variant="light", color="gray", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Clear and restart", fw=600, size="xs"),
+                    dmc.Text(
+                        "Hit the Clear button to dismiss the span and reset to a fresh measurement.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:adjustments-horizontal", width=14),
+                    size="sm", variant="light", color="blue", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Switch drillholes", fw=600, size="xs"),
+                    dmc.Text(
+                        "Use the Hole Selector dropdown to jump between holes — all panels update together.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+        ]),
+    ], p="md", radius="md", withBorder=True, className="tip-paper")
+
+    return [
+        dtc.DashTour(
+            id="dl-tour",
+            isOpen=False,
+            accentColor="#e8a020",
+            rounded=8,
+            showNumber=True,
+            steps=DL_TOUR_STEPS,
+        ),
+        dmc.Stack([
+        things_to_try,
+
+        dmc.SimpleGrid(
+            cols={"base": 1, "sm": 2},
+            spacing="md",
+            children=[
+                dmc.Paper([
+                    dmc.Group([
+                        dmc.Text("Current Hole Depth", size="xs", c="dimmed", tt="uppercase", fw=600),
+                        DashIconify(icon="tabler:arrow-down-to-arc", width=16, color="#868e96"),
+                    ], justify="space-between"),
+                    dmc.Text(f"{default_depth} m", id="kpi-hole-depth", size="xl", fw=700, c="dark", mt=4),
+                    dmc.Text("total drilled depth", size="xs", c="dimmed"),
+                ], p="md", radius="md", withBorder=True, className="kpi-card"),
+                dmc.Paper([
+                    dmc.Group([
+                        dmc.Text("Lithology Intervals", size="xs", c="dimmed", tt="uppercase", fw=600),
+                        DashIconify(icon="tabler:layers-difference", width=16, color="#868e96"),
+                    ], justify="space-between"),
+                    dmc.Text(str(default_lith_count), id="kpi-lith-count", size="xl", fw=700, c="dark", mt=4),
+                    dmc.Text("logged intervals for hole", size="xs", c="dimmed"),
+                ], p="md", radius="md", withBorder=True, className="kpi-card"),
+            ],
+        ),
+
+        # Strip log card
+        dmc.Paper([
+            dmc.Group([
+                html.Div([
+                    html.P("Downhole Strip Log", className="section-title"),
+                    html.P(
+                        "Four-panel strip log: lithology, Au (g/t), Cu (%), hole deviation. "
+                        "Hover anywhere to track depth across all panels. Click once to start an interval, "
+                        "click again to measure its thickness.",
+                        className="section-description",
+                    ),
+                ], style={"flex": 1}),
+                html.Div(children=dmc.Group(gap="xs", align="center", children=[
+                    dmc.Button(
+                        dmc.Group([DashIconify(icon="tabler:help", width=13), "Tour"],
+                                  gap=4, align="center"),
+                        id="dl-tour-btn",
+                        variant="subtle",
+                        color="gray",
+                        size="xs",
+                    ),
+                    dmc.Select(
+                        id="hole-selector",
+                        label="Select Hole",
+                        data=[{"value": h, "label": h} for h in hole_ids],
+                        value=default_hole,
+                        w=160,
+                        size="xs",
+                        styles={"label": {"color": "#6c757d", "fontSize": "0.75rem"}},
+                    ),
+                ])),
+            ], justify="space-between", align="flex-end", wrap="nowrap", mb="xs"),
+            dmc.Group(gap="xs", mt="xs", mb="xs", children=[
+                dmc.Tooltip(
+                    label=(
+                        "Click once anywhere on the chart to mark a start depth — "
+                        "a gold line appears. Click a second time to measure the interval "
+                        "and see the thickness."
+                    ),
+                    multiline=True, w=300, withArrow=True, position="bottom",
+                    children=dmc.Badge(
+                        "⊕ Click to Measure", color="orange", variant="light", size="sm",
+                        style={"cursor": "help"},
+                    ),
+                ),
+            ]),
+
+            # Measurement readout
+            dmc.Group(gap="xs", mb="sm", children=[
+                dmc.Text("Interval:", size="sm", c="dimmed"),
+                html.Div(id="measure-readout", className="measure-readout",
+                         children="Click a depth to start measuring"),
+                dmc.Button("Clear", id="measure-clear-btn", variant="subtle",
+                           color="gray", size="xs"),
+            ]),
+
+            dcc.Graph(
+                id="strip-log-chart",
+                figure=_strip_log_figure(default_hole, collar, assay, lith, survey),
+                config={"displayModeBar": True, "scrollZoom": True},
+                style={"height": "750px"},
+            ),
+        ], id="strip-log-chart-paper", p="md", radius="md", withBorder=True, className="chart-paper"),
+
+        dmc.Paper([
+            html.P("Lithology Key", className="section-title"),
+            dmc.Group(gap="md", wrap="wrap", children=[
+                dmc.Group(gap="xs", children=[
+                    html.Span(className="lith-swatch", style={"backgroundColor": color}),
+                    dmc.Text(lith_name, size="xs", c="dimmed"),
+                ])
+                for lith_name, color in LITH_COLORS.items()
+            ]),
+        ], p="md", radius="md", withBorder=True, className="chart-paper"),
+        ], gap="md"),
+    ]
diff --git a/drillholes-demo/pages/explorer.py b/drillholes-demo/pages/explorer.py
new file mode 100644
index 0000000..62bb50f
--- /dev/null
+++ b/drillholes-demo/pages/explorer.py
@@ -0,0 +1,146 @@
+"""
+Explorer page — port of the "Drill-Hole Cross-Section Explorer" CodePen.
+
+Dash owns the page shell only. The chart (4-hole subplots, multi-axis spanning
+geological bands) and all hover/click interactivity are built in
+assets/explorer.js using Plotly.js 3.x's hoveranywhere/clickanywhere flags.
+The sidebar exposes id-tagged spans the JS writes into directly.
+"""
+
+from dash import html, dcc
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+
+
+def _things_to_try():
+    return dmc.Paper([
+        dmc.Group(gap="xs", mb="sm", children=[
+            DashIconify(icon="tabler:bulb", width=16, color="#e8a020"),
+            dmc.Text("Things to Try", fw=600, size="sm", c="orange"),
+        ]),
+        dmc.Stack(gap="sm", children=[
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:crosshair", width=14),
+                    size="sm", variant="light", color="grape", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Hover anywhere to track depth", fw=600, size="xs"),
+                    dmc.Text(
+                        "A horizontal crosshair plus depth pill follows the cursor across all four "
+                        "hole panels — including the empty space between them. Powered by Plotly 3.x's "
+                        "hoveranywhere flag.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:layers-intersect", width=14),
+                    size="sm", variant="light", color="orange", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Multi-axis spanning bands", fw=600, size="xs"),
+                    dmc.Text(
+                        "Geological units are quadrilateral paths anchored to consecutive y-axes "
+                        '(yref=["y","y2","y2","y"]) — they connect adjacent subplots automatically '
+                        "even when each hole has its own axis pair.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:vector-triangle", width=14),
+                    size="sm", variant="light", color="red", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Click two points to measure", fw=600, size="xs"),
+                    dmc.Text(
+                        "Click two depths inside the same hole panel to drop markers and read out the "
+                        "depth interval. A third click resets. Cross-hole clicks are ignored.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+            dmc.Group(gap="sm", wrap="nowrap", align="flex-start", children=[
+                dmc.ThemeIcon(
+                    DashIconify(icon="tabler:zoom", width=14),
+                    size="sm", variant="light", color="teal", radius="xl",
+                    style={"flexShrink": 0},
+                ),
+                html.Div([
+                    dmc.Text("Each hole is independent", fw=600, size="xs"),
+                    dmc.Text(
+                        "Every hole has its own x/y axis pair. Pan or zoom one panel without disturbing "
+                        "the others — the spanning geological bands stretch correctly.",
+                        size="xs", c="dimmed",
+                    ),
+                ]),
+            ]),
+        ]),
+    ], p="md", radius="md", withBorder=True, className="tip-paper")
+
+
+def _sidebar():
+    cursor_panel = dmc.Paper([
+        dmc.Text("Cursor Position", className="explorer-panel-title"),
+        html.Div(className="explorer-info-row", children=[
+            html.Span("Depth", className="explorer-info-label"),
+            html.Span("--", id="cursor-depth", className="explorer-info-value"),
+        ]),
+        html.Div(className="explorer-info-row", children=[
+            html.Span("Hole", className="explorer-info-label"),
+            html.Span("--", id="cursor-hole", className="explorer-info-value"),
+        ]),
+        html.Div(className="explorer-info-row", children=[
+            html.Span("Value", className="explorer-info-label"),
+            html.Span("--", id="cursor-value", className="explorer-info-value"),
+        ]),
+    ], p="md", radius="md", withBorder=True, className="chart-paper explorer-info-panel")
+
+    measure_panel = dmc.Paper([
+        dmc.Text("Click-to-Measure", className="explorer-panel-title"),
+        dmc.Text(
+            "Click two points in the same subplot to measure the depth interval. "
+            "Click again to reset.",
+            size="xs", c="dimmed", mb=6,
+        ),
+        html.Div(id="distance-result", className="explorer-distance-result"),
+    ], p="md", radius="md", withBorder=True, className="chart-paper explorer-info-panel")
+
+    return dmc.Stack([cursor_panel, measure_panel], gap="md")
+
+
+def _chart_paper():
+    return dmc.Paper([
+        html.P("Drill-Hole Cross-Section Explorer", className="section-title"),
+        html.P(
+            "Four drill holes side by side. Geological units span between panels via multi-axis "
+            "shapes. Hover anywhere for the depth crosshair; click two points within one hole to "
+            "measure interval thickness.",
+            className="section-description",
+        ),
+        html.Div(
+            id="explorer-chart",
+            style={"height": "640px", "width": "100%"},
+        ),
+    ], p="md", radius="md", withBorder=True, className="chart-paper")
+
+
+def layout():
+    return [
+        # Hidden dcc.Graph forces Dash 4 to lazy-load Plotly.js on this page.
+        # The visible chart is rendered by assets/explorer.js into #explorer-chart.
+        dcc.Graph(id="_explorer-plotly-loader", figure={}, style={"display": "none"}),
+        dmc.Stack([
+            _things_to_try(),
+            dmc.Grid(gutter="md", children=[
+                dmc.GridCol(_sidebar(), span={"base": 12, "md": 3}),
+                dmc.GridCol(_chart_paper(), span={"base": 12, "md": 9}),
+            ]),
+        ], gap="md"),
+    ]
diff --git a/drillholes-demo/requirements.txt b/drillholes-demo/requirements.txt
new file mode 100644
index 0000000..294daa7
--- /dev/null
+++ b/drillholes-demo/requirements.txt
@@ -0,0 +1,9 @@
+dash>=3.0.0
+dash-ag-grid>=33.0.0
+dash-mantine-components>=0.14.0
+dash-iconify>=0.1.2
+dash-tour-component>=0.0.2
+plotly>=6.0.0
+pandas>=2.0.0
+numpy>=1.26.0
+gunicorn>=21.0.0
diff --git a/drillholes-demo/utils.py b/drillholes-demo/utils.py
new file mode 100644
index 0000000..cc0f823
--- /dev/null
+++ b/drillholes-demo/utils.py
@@ -0,0 +1,210 @@
+import pathlib
+from functools import lru_cache
+import numpy as np
+import pandas as pd
+from dash import html
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+
+PATH = pathlib.Path(__file__).parent
+DATA_PATH = PATH / "data"
+
+LITH_COLORS = {
+    "Alluvium":              "#C2B280",
+    "Weathered Granite":     "#D4A574",
+    "Granite":               "#9E8B6B",
+    "Quartz Diorite":        "#8B7355",
+    "Mineralized Porphyry":  "#A0522D",
+    "Fresh Granite":         "#6B5B45",
+}
+
+LITH_ORDER = list(LITH_COLORS.keys())
+
+CHART_LAYOUT = dict(
+    paper_bgcolor="#ffffff",
+    plot_bgcolor="#f8f9fa",
+    font=dict(family="Inter, sans-serif", size=12, color="#495057"),
+    margin=dict(l=50, r=20, t=40, b=50),
+)
+
+# Keep alias so any external references still work
+DARK_CHART_LAYOUT = CHART_LAYOUT
+
+GRADE_COLORS = {
+    "Au_ppm": "#FFD700",
+    "Cu_pct": "#FF8C00",
+    "Ag_ppm": "#C0C0C0",
+}
+
+GRADE_LABELS = {
+    "Au_ppm": "Au (g/t)",
+    "Cu_pct": "Cu (%)",
+    "Ag_ppm": "Ag (ppm)",
+}
+
+
+@lru_cache(maxsize=1)
+def load_data():
+    collar = pd.read_csv(DATA_PATH / "collar.csv")
+    assay  = pd.read_csv(DATA_PATH / "assay.csv")
+    lith   = pd.read_csv(DATA_PATH / "lith.csv")
+    survey = pd.read_csv(DATA_PATH / "survey.csv")
+    return collar, assay, lith, survey
+
+
+def compute_trace_easting_elevation(hole_id, collar_df, survey_df):
+    """
+    Minimum-curvature method: converts downhole survey (depth, az, dip)
+    to (easting, elevation) pairs for cross-section plotting.
+    """
+    hole = collar_df[collar_df["HOLEID"] == hole_id].iloc[0]
+    surveys = survey_df[survey_df["HOLEID"] == hole_id].sort_values("DEPTH").copy()
+
+    e, z = float(hole["EAST"]), float(hole["ELEV"])
+    east_list, elev_list = [e], [z]
+
+    prev_depth = 0.0
+    prev_az  = np.radians(float(hole["AZ"]))
+    prev_dip = np.radians(abs(float(hole["DIP"])))
+
+    for _, svy in surveys.iterrows():
+        dl = float(svy["DEPTH"]) - prev_depth
+        if dl <= 0:
+            continue
+        az2  = np.radians(float(svy["AZ"]))
+        dip2 = np.radians(abs(float(svy["DIP"])))
+
+        dl_cos = (np.cos(dip2 - prev_dip)
+                  - np.sin(prev_dip) * np.sin(dip2) * (1 - np.cos(az2 - prev_az)))
+        rf = 2.0 / (1.0 + dl_cos) if abs(1.0 + dl_cos) > 0.001 else 1.0
+
+        de = (dl / 2.0) * (np.sin(prev_dip) * np.sin(prev_az)
+                            + np.sin(dip2) * np.sin(az2)) * rf
+        dz = -(dl / 2.0) * (np.cos(prev_dip) + np.cos(dip2)) * rf
+
+        e += de
+        z += dz
+        east_list.append(round(e, 2))
+        elev_list.append(round(z, 2))
+
+        prev_depth = float(svy["DEPTH"])
+        prev_az, prev_dip = az2, dip2
+
+    return east_list, elev_list
+
+
+NAV_ITEMS = [
+    {"label": "Cross-Section", "href": "/",               "icon": "tabler:chart-grid-dots", "id": "nav-cross-section"},
+    {"label": "Explorer",      "href": "/explorer",       "icon": "tabler:compass",         "id": "nav-explorer"},
+    {"label": "Downhole Logs", "href": "/downhole-logs",  "icon": "tabler:align-left",      "id": "nav-downhole"},
+    {"label": "Comparison",    "href": "/comparison",     "icon": "tabler:columns-3",       "id": "nav-comparison"},
+    {"label": "Block Model",   "href": "/block-model",    "icon": "tabler:cube",            "id": "nav-block-model"},
+]
+
+
+def create_header():
+    brand = dmc.Group([
+        html.Img(src="/assets/plotly-logo.png", height=40, alt="Plotly"),
+        dmc.Divider(orientation="vertical", size="sm"),
+        html.Div([
+            html.P("Drillhole Visualizer", className="brand-title"),
+            html.P("Western Australia", className="brand-subtitle"),
+        ]),
+    ], gap="sm", align="center", wrap="nowrap")
+
+    status = dmc.Group([
+        dmc.Group([
+            DashIconify(icon="tabler:circle-filled", width=10, color="#40c057"),
+            dmc.Text("Active", size="xs", c="dimmed"),
+        ], gap=4),
+        dmc.Divider(orientation="vertical", size="sm"),
+        dmc.Text("Prospect", size="xs", c="dimmed"),
+        dmc.Badge("WA Au-Cu Porphyry", color="orange", variant="light", size="sm"),
+        dmc.Divider(orientation="vertical", size="sm"),
+        dmc.Text("Last Survey", size="xs", c="dimmed"),
+        dmc.Text("Apr 2026", size="xs", fw=500),
+        dmc.ActionIcon(
+            DashIconify(icon="tabler:bell", width=18),
+            variant="subtle",
+            color="gray",
+            size="lg",
+        ),
+    ], gap="sm", wrap="nowrap")
+
+    return dmc.Paper(
+        dmc.Group([brand, status], justify="space-between", align="center"),
+        px="md",
+        py="sm",
+        radius=0,
+        withBorder=False,
+        className="app-header",
+    )
+
+
+def create_nav_sidebar():
+    nav_links = [
+        dmc.NavLink(
+            label=item["label"],
+            leftSection=DashIconify(icon=item["icon"], width=16),
+            href=item["href"],
+            id=item["id"],
+            variant="subtle",
+        )
+        for item in NAV_ITEMS
+    ]
+
+    return html.Div(
+        [
+            dmc.Group(
+                [
+                    dmc.Text("Navigation", id="sidebar-title", size="xs", fw=600, c="dimmed", tt="uppercase"),
+                    dmc.ActionIcon(
+                        DashIconify(icon="charm:cross", width=14, id="sidebar-btn-icon"),
+                        id="sidebar-btn",
+                        size="sm",
+                        variant="subtle",
+                        color="gray",
+                    ),
+                ],
+                id="sidebar-title-div",
+                justify="space-between",
+                align="center",
+                className="title-pad space-between",
+            ),
+            html.Div(
+                [
+                    dmc.Space(h="35vh"),
+                    html.Div(
+                        html.Div("▾   Navigation   ▾", className="sidebar-collapsed-title"),
+                        style={"transform": "rotate(270deg)"},
+                    ),
+                ],
+                id="sidebar-collapsed-title-div",
+                style={"display": "none"},
+            ),
+            html.Div(
+                html.Div(
+                    html.Div(nav_links, id="sidebar-inner-div", className="sidebar-inner"),
+                    id="sidebar-outer-div",
+                    className="sidebar-outer",
+                ),
+                id="sidebar-btn-div",
+            ),
+        ],
+        id="filter-sidebar",
+        className="filter-sidebar flex-column",
+    )
+
+
+def kpi_card(title, value, unit="", icon=None):
+    header_children = [
+        dmc.Text(title, size="xs", c="dimmed", tt="uppercase", fw=600),
+    ]
+    if icon:
+        header_children.append(DashIconify(icon=icon, width=16, color="#868e96"))
+
+    return dmc.Paper([
+        dmc.Group(header_children, justify="space-between", align="center"),
+        dmc.Text(value, size="xl", fw=700, c="dark", mt=4),
+        dmc.Text(unit, size="xs", c="dimmed") if unit else None,
+    ], p="md", radius="md", withBorder=True, className="kpi-card")
diff --git a/investments-dashboard/Procfile b/investments-dashboard/Procfile
new file mode 100644
index 0000000..673048e
--- /dev/null
+++ b/investments-dashboard/Procfile
@@ -0,0 +1 @@
+web: uvicorn app:server --host 0.0.0.0 --port 8000
diff --git a/investments-dashboard/app.py b/investments-dashboard/app.py
new file mode 100644
index 0000000..3bbc775
--- /dev/null
+++ b/investments-dashboard/app.py
@@ -0,0 +1,230 @@
+import dash
+from dash import html, dcc, Input, Output, callback
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+
+from pages import dashboard, performance, portfolio, fees
+from callbacks import dashboard as dashboard_callbacks
+from callbacks import performance as performance_callbacks
+from callbacks import portfolio as portfolio_callbacks
+from callbacks import fees as fees_callbacks
+from callbacks import export_all as export_all_callbacks
+
+app = dash.Dash(
+    __name__,
+    backend="fastapi",
+    websocket_callbacks=True,
+    suppress_callback_exceptions=True,
+    external_stylesheets=dmc.styles.ALL,
+    title="Investment Insights"
+)
+server = app.server
+
+def create_nav_link(icon, label, href):
+    return dmc.NavLink(
+        label=label,
+        leftSection=DashIconify(icon=icon, width=20),
+        href=href,
+        variant="subtle",
+        active=True,
+    )
+
+def create_header():
+    return dmc.Paper(
+        dmc.Group([
+            dmc.Group([
+                dmc.Title("Investment Insights", order=3),
+                dmc.Divider(orientation="vertical", size="sm"),
+                html.Img(src="/assets/DE-logo.png", height=40),
+            ], gap="sm", align="center", wrap="nowrap"),
+            dmc.Group([
+                dmc.Group([
+                    DashIconify(icon="tabler:circle-filled", width=10, color="#40c057"),
+                    dmc.Text("Market Open", size="xs", c="dimmed"),
+                ], gap=4),
+                dmc.Text("NYSE", size="xs", fw=500),
+                dmc.Divider(orientation="vertical", size="sm"),
+                dmc.Text("Last Updated", size="xs", c="dimmed"),
+                dmc.Text("Apr 8, 2026 3:45 PM", size="xs", fw=500),
+                dmc.Divider(orientation="vertical", size="sm"),
+                dmc.Button(
+                    "Download PDF",
+                    id="generate-pdf-all-btn",
+                    size="xs",
+                    variant="light",
+                    color="blue",
+                    leftSection=DashIconify(icon="tabler:file-type-pdf", width=14),
+                ),
+                dmc.ActionIcon(
+                    DashIconify(icon="tabler:bell", width=20),
+                    variant="subtle",
+                    size="lg",
+                ),
+            ], gap="sm", align="center", wrap="nowrap"),
+        ], justify="space-between", align="center", wrap="nowrap"),
+        p="md",
+        withBorder=True,
+        radius=0,
+    )
+
+def create_navbar():
+    return dmc.Paper(
+        dmc.Stack([
+            dmc.Stack([
+                dmc.Text("Navigation", size="xs", c="dimmed", fw=600, tt="uppercase", mb="xs"),
+                dmc.NavLink(
+                    label="Dashboard",
+                    leftSection=DashIconify(icon="tabler:dashboard", width=20),
+                    href="/",
+                    id="nav-dashboard",
+                ),
+                dmc.NavLink(
+                    label="Price Performance",
+                    leftSection=DashIconify(icon="tabler:chart-line", width=20),
+                    href="/performance",
+                    id="nav-performance",
+                ),
+                dmc.NavLink(
+                    label="Portfolio Analysis",
+                    leftSection=DashIconify(icon="tabler:chart-donut", width=20),
+                    href="/portfolio",
+                    id="nav-portfolio",
+                ),
+                dmc.NavLink(
+                    label="Fees & Distributions",
+                    leftSection=DashIconify(icon="tabler:receipt", width=20),
+                    href="/fees",
+                    id="nav-fees",
+                ),
+                dmc.Divider(my="md"),
+                dmc.Text("Fund Info", size="xs", c="dimmed", fw=600, tt="uppercase", mb="xs"),
+                dmc.Stack([
+                    dmc.Group([
+                        dmc.Text("Fund:", size="sm", c="dimmed"),
+                        dmc.Text("500 Index Fund", size="sm", fw=500),
+                    ], justify="space-between"),
+                    dmc.Group([
+                        dmc.Text("Category:", size="sm", c="dimmed"),
+                        dmc.Text("Large Blend", size="sm", fw=500),
+                    ], justify="space-between"),
+                    dmc.Group([
+                        dmc.Text("Expense:", size="sm", c="dimmed"),
+                        dmc.Badge("0.14%", color="green", size="sm"),
+                    ], justify="space-between"),
+                ], gap="xs"),
+                dmc.Divider(my="md"),
+                dmc.Text("Resources", size="xs", c="dimmed", fw=600, tt="uppercase", mb="xs"),
+                dmc.Anchor(
+                    dmc.NavLink(
+                        label="Prospectus",
+                        leftSection=DashIconify(icon="tabler:file-text", width=18),
+                        rightSection=DashIconify(icon="tabler:external-link", width=14, color="gray"),
+                        variant="subtle",
+                        py=6,
+                    ),
+                    href="https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000036405&type=485&dateb=&owner=include&count=40",
+                    target="_blank",
+                    underline=False,
+                ),
+                dmc.Anchor(
+                    dmc.NavLink(
+                        label="Fact Sheet",
+                        leftSection=DashIconify(icon="tabler:file-description", width=18),
+                        rightSection=DashIconify(icon="tabler:external-link", width=14, color="gray"),
+                        variant="subtle",
+                        py=6,
+                    ),
+                    href="https://investor.vanguard.com/investment-products/mutual-funds/profile/vfiax",
+                    target="_blank",
+                    underline=False,
+                ),
+                dmc.Anchor(
+                    dmc.NavLink(
+                        label="Annual Report",
+                        leftSection=DashIconify(icon="tabler:report", width=18),
+                        rightSection=DashIconify(icon="tabler:external-link", width=14, color="gray"),
+                        variant="subtle",
+                        py=6,
+                    ),
+                    href="https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000036405&type=N-CSR&dateb=&owner=include&count=40",
+                    target="_blank",
+                    underline=False,
+                ),
+                dmc.Anchor(
+                    dmc.NavLink(
+                        label="Tax Documents",
+                        leftSection=DashIconify(icon="tabler:file-invoice", width=18),
+                        rightSection=DashIconify(icon="tabler:external-link", width=14, color="gray"),
+                        variant="subtle",
+                        py=6,
+                    ),
+                    href="https://investor.vanguard.com/client-benefits/tax-center",
+                    target="_blank",
+                    underline=False,
+                ),
+            ], gap=4, style={"flex": 1}),
+        ], gap="md", justify="space-between", h="100%"),
+        p="md",
+        h="100%",
+        withBorder=True,
+        radius=0,
+        style={"minWidth": "250px"}
+    )
+
+app.layout = dmc.MantineProvider(
+    id="mantine-provider",
+    forceColorScheme="light",
+    children=[
+        dcc.Location(id="url", refresh=False),
+        dcc.Download(id="download-pdf-all"),
+        html.Div(id="pdf-status-all", style={"display": "none"}),
+        dmc.AppShell(
+            [
+                dmc.AppShellHeader(create_header()),
+                dmc.AppShellNavbar(create_navbar()),
+                dmc.AppShellMain(
+                    dmc.Container(
+                        id="page-content",
+                        fluid=True,
+                        p="md",
+                    )
+                ),
+            ],
+            header={"height": 73},
+            navbar={"width": 280, "breakpoint": "sm", "collapsed": {"mobile": True}},
+            padding="md",
+        ),
+    ]
+)
+
+@callback(
+    Output("page-content", "children"),
+    Input("url", "pathname")
+)
+def display_page(pathname):
+    if pathname == "/performance":
+        return performance.layout
+    elif pathname == "/portfolio":
+        return portfolio.layout
+    elif pathname == "/fees":
+        return fees.layout
+    else:
+        return dashboard.layout
+
+@callback(
+    [Output("nav-dashboard", "active"),
+     Output("nav-performance", "active"),
+     Output("nav-portfolio", "active"),
+     Output("nav-fees", "active")],
+    Input("url", "pathname")
+)
+def update_nav_active(pathname):
+    return [
+        pathname == "/" or pathname is None,
+        pathname == "/performance",
+        pathname == "/portfolio",
+        pathname == "/fees",
+    ]
+
+if __name__ == "__main__":
+    app.run(debug=True)
diff --git a/investments-dashboard/assets/DE-logo.png b/investments-dashboard/assets/DE-logo.png
new file mode 100644
index 0000000..a037590
Binary files /dev/null and b/investments-dashboard/assets/DE-logo.png differ
diff --git a/investments-dashboard/assets/styles.css b/investments-dashboard/assets/styles.css
new file mode 100644
index 0000000..a462441
--- /dev/null
+++ b/investments-dashboard/assets/styles.css
@@ -0,0 +1,137 @@
+/* Financial Dashboard V2 - Custom Styles */
+
+/* Global */
+body {
+    font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+}
+
+.mantine-AppShell-header .mantine-Title-root {
+    white-space: nowrap;
+}
+
+.mantine-AppShell-header img {
+    flex-shrink: 0;
+}
+
+/* Scrollbar styling */
+::-webkit-scrollbar {
+    width: 8px;
+    height: 8px;
+}
+
+::-webkit-scrollbar-track {
+    background: rgba(0, 0, 0, 0.05);
+    border-radius: 4px;
+}
+
+::-webkit-scrollbar-thumb {
+    background: rgba(0, 0, 0, 0.2);
+    border-radius: 4px;
+}
+
+::-webkit-scrollbar-thumb:hover {
+    background: rgba(0, 0, 0, 0.3);
+}
+
+/* Chart containers */
+.js-plotly-plot .plotly .modebar {
+    top: 5px !important;
+    right: 5px !important;
+}
+
+.js-plotly-plot .plotly .modebar-btn {
+    font-size: 14px !important;
+}
+
+/* Table styling */
+.mantine-Table-table {
+    font-size: 0.875rem;
+}
+
+.mantine-Table-th {
+    background-color: rgba(0, 0, 0, 0.02);
+}
+
+/* Dark mode table adjustments */
+[data-mantine-color-scheme="dark"] .mantine-Table-th {
+    background-color: rgba(255, 255, 255, 0.05);
+}
+
+/* NavLink active state */
+.mantine-NavLink-root[data-active="true"] {
+    font-weight: 600;
+}
+
+/* Paper hover effect */
+.mantine-Paper-root {
+    transition: box-shadow 0.2s ease;
+}
+
+.mantine-Paper-root:hover {
+    box-shadow: 0 2px 8px rgba(0, 0, 0, 0.08);
+}
+
+/* KPI card animations */
+@keyframes fadeInUp {
+    from {
+        opacity: 0;
+        transform: translateY(10px);
+    }
+    to {
+        opacity: 1;
+        transform: translateY(0);
+    }
+}
+
+@keyframes pulse {
+    0%, 100% { opacity: 1; }
+    50% { opacity: 0.3; }
+}
+
+/* Progress bars */
+.mantine-Progress-root {
+    background-color: rgba(0, 0, 0, 0.05);
+}
+
+/* Badge styling */
+.mantine-Badge-root {
+    text-transform: none;
+}
+
+/* Date picker */
+.mantine-DatePickerInput-input {
+    min-height: 36px;
+}
+
+/* Multi-select */
+.mantine-MultiSelect-input {
+    min-height: 36px;
+}
+
+/* Responsive adjustments */
+@media (max-width: 768px) {
+    .mantine-AppShell-navbar {
+        display: none;
+    }
+    
+    .mantine-Container-root {
+        padding: 0.5rem;
+    }
+}
+
+/* Print styles */
+@media print {
+    .mantine-AppShell-header,
+    .mantine-AppShell-navbar,
+    .mantine-Button-root,
+    .mantine-Select-root,
+    .mantine-MultiSelect-root {
+        display: none !important;
+    }
+    
+    .mantine-Paper-root {
+        break-inside: avoid;
+        box-shadow: none !important;
+        border: 1px solid #dee2e6 !important;
+    }
+}
diff --git a/investments-dashboard/callbacks/__init__.py b/investments-dashboard/callbacks/__init__.py
new file mode 100644
index 0000000..ac1e363
--- /dev/null
+++ b/investments-dashboard/callbacks/__init__.py
@@ -0,0 +1,5 @@
+from . import dashboard
+from . import performance
+from . import portfolio
+from . import fees
+from . import export_all
diff --git a/investments-dashboard/callbacks/dashboard.py b/investments-dashboard/callbacks/dashboard.py
new file mode 100644
index 0000000..5e88189
--- /dev/null
+++ b/investments-dashboard/callbacks/dashboard.py
@@ -0,0 +1,224 @@
+import asyncio
+import random
+from datetime import datetime
+
+from dash import callback, ctx, Input, Output, State, dcc, set_props, html
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+
+from utils.data_loader import get_fund_metrics, get_returns_data, get_time_series_data, df_fund_facts, calculate_risk_metrics
+from components.charts import create_hypothetical_growth_chart, create_sparkline, CHART_COLORS, CHART_LAYOUT
+import plotly.graph_objects as go
+
+def get_metrics_for_fund(fund_id, period="1Y"):
+    """Get metrics for a specific fund and period"""
+    ts = get_time_series_data()
+    returns = get_returns_data()
+    facts = dict(zip(df_fund_facts['label'], df_fund_facts['value']))
+    
+    if fund_id == "calibre":
+        col = 'Calibre Index Fund'
+        fund_name = "Calibre Index Fund"
+    else:
+        col = '"S&amp;P 500 Index, y"'
+        fund_name = "500 Index Fund"
+    
+    latest_price = ts[col].iloc[-1]
+    
+    period_map = {
+        "1Y": 252,
+        "3Y": 252 * 3,
+        "5Y": 252 * 5,
+        "10Y": 252 * 10,
+        "All": len(ts)
+    }
+    
+    lookback = min(period_map.get(period, 252), len(ts) - 1)
+    start_price = ts[col].iloc[-lookback] if lookback < len(ts) else ts[col].iloc[0]
+    period_return = ((latest_price - start_price) / start_price) * 100
+    
+    fund_returns = returns[returns['Entity'].str.contains('500 Index Fund', na=False)].iloc[0]
+    
+    return {
+        'nav': latest_price,
+        'period_return': period_return,
+        'period': period,
+        '1y_return': fund_returns['1Y'],
+        '3y_return': fund_returns['3Y'],
+        '5y_return': fund_returns['5Y'],
+        '10y_return': fund_returns['10Y'],
+        'fund_name': fund_name,
+        'expense_ratio': facts.get('Expense ratio as of 04/27/2017', '0.14%'),
+        'category': facts.get('Category', 'Large Blend'),
+        'asset_class': facts.get('Asset Class', 'Domestic Stock'),
+        'min_investment': facts.get('Minimum investment', '$3,000'),
+    }
+
+def create_dynamic_growth_chart(fund_id, initial=10000, show_benchmark=True):
+    """Create growth chart for selected fund"""
+    ts = get_time_series_data()
+    
+    col = 'Calibre Index Fund' if fund_id == "calibre" else '"S&amp;P 500 Index, y"'
+    fund_name = "Calibre Index Fund" if fund_id == "calibre" else "500 Index Fund"
+    benchmark_col = '"S&amp;P 500 Index, y"'
+    
+    yearly_data = ts.set_index('Date').resample('YE').last().reset_index()
+    yearly_data = yearly_data.tail(10)
+    
+    first_price = yearly_data[col].iloc[0]
+    fund_values = [initial * (p / first_price) for p in yearly_data[col]]
+    years = yearly_data['Date'].dt.year.astype(str).tolist()
+    
+    first_bench = yearly_data[benchmark_col].iloc[0]
+    benchmark_values = [initial * (p / first_bench) for p in yearly_data[benchmark_col]]
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Scatter(
+        x=years,
+        y=fund_values,
+        name=fund_name,
+        fill='tozeroy',
+        line={'color': CHART_COLORS['primary'], 'width': 2},
+        fillcolor='rgba(34, 139, 230, 0.1)',
+        hovertemplate='$%{y:,.2f}<extra></extra>',
+    ))
+    
+    if show_benchmark:
+        fig.add_trace(go.Scatter(
+            x=years,
+            y=benchmark_values,
+            name='S&P 500 Index',
+            line={'color': CHART_COLORS['gray'], 'width': 2, 'dash': 'dash'},
+            hovertemplate='$%{y:,.2f}<extra></extra>',
+        ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': f'Hypothetical Growth of ${initial:,}', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        legend={'orientation': 'h', 'y': -0.15},
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'tickprefix': '$', 'tickformat': ','},
+        xaxis={'showgrid': False},
+    )
+    
+    return fig
+
+@callback(
+    [Output("kpi-nav-value", "children"),
+     Output("kpi-nav-trend", "children"),
+     Output("kpi-nav-trend", "c"),
+     Output("kpi-period-value", "children"),
+     Output("kpi-period-title", "children"),
+     Output("kpi-period-subtitle", "children"),
+     Output("kpi-expense-value", "children"),
+     Output("kpi-category-value", "children"),
+     Output("kpi-category-subtitle", "children"),
+     Output("growth-chart", "figure"),
+     Output("quick-1y", "children"),
+     Output("quick-3y", "children"),
+     Output("quick-5y", "children"),
+     Output("quick-min", "children"),
+     Output("risk-volatility-bar", "value"),
+     Output("risk-volatility-value", "children"),
+     Output("risk-beta-bar", "value"),
+     Output("risk-beta-value", "children"),
+     Output("risk-sharpe-bar", "value"),
+     Output("risk-sharpe-value", "children"),
+     Output("risk-alpha-bar", "value"),
+     Output("risk-alpha-value", "children")],
+    [Input("dashboard-fund-select", "value"),
+     Input("dashboard-period", "value"),
+     Input("benchmark-toggle", "checked"),
+     Input("investment-amount", "value")]
+)
+def update_dashboard(fund, period, show_benchmark, investment):
+    metrics = get_metrics_for_fund(fund, period)
+    risk = calculate_risk_metrics(fund, period)
+    
+    investment = investment or 10000
+    
+    nav_value = f"${metrics['nav']:.2f}"
+    trend_icon = "↑" if metrics['period_return'] > 0 else "↓"
+    trend_value = f"{trend_icon} {abs(metrics['period_return']):.1f}% {period}"
+    trend_color = "teal" if metrics['period_return'] > 0 else "red"
+    
+    period_labels = {"1Y": "1 Year", "3Y": "3 Year", "5Y": "5 Year", "10Y": "10 Year", "All": "All Time"}
+    period_title = f"{period_labels.get(period, period)} Return"
+    
+    period_return_map = {"1Y": metrics['1y_return'], "3Y": metrics['3y_return'], 
+                         "5Y": metrics['5y_return'], "10Y": metrics['10y_return'], "All": metrics['period_return']}
+    period_value = f"{period_return_map.get(period, metrics['1y_return']):.2f}%"
+    
+    growth_chart = create_dynamic_growth_chart(fund, investment, show_benchmark)
+    
+    return (
+        nav_value,
+        trend_value,
+        trend_color,
+        period_value,
+        period_title,
+        "vs S&P 500",
+        metrics['expense_ratio'],
+        metrics['category'],
+        metrics['asset_class'],
+        growth_chart,
+        f"{metrics['1y_return']:.2f}%",
+        f"{metrics['3y_return']:.2f}%",
+        f"{metrics['5y_return']:.2f}%",
+        metrics['min_investment'].replace('"', ''),
+        risk['volatility_pct'],
+        risk['volatility_level'],
+        risk['beta_pct'],
+        f"{risk['beta']:.2f}",
+        risk['sharpe_pct'],
+        f"{risk['sharpe']:.2f}",
+        risk['alpha_pct'],
+        f"{risk['alpha']:.2f}%",
+    )
+
+@callback(
+    Output("live-streaming", "data"),
+    Input("live-toggle", "checked"),
+)
+def toggle_streaming(checked):
+    return checked
+
+
+@callback(persistent=True)
+async def stream_market_prices():
+    ws = ctx.websocket
+    prices = {"AAPL": 189.50, "GOOGL": 176.30, "MSFT": 420.15, "AMZN": 185.60, "TSLA": 178.90}
+    base_prices = dict(prices)
+    history = {s: [p] for s, p in prices.items()}
+
+    while not ws.is_shutdown:
+        streaming = await ws.get_prop("live-streaming", "data")
+        if streaming:
+            for sym in prices:
+                change_pct = round(random.gauss(0, 0.3), 2)
+                prices[sym] = round(prices[sym] * (1 + change_pct / 100), 2)
+                history[sym].append(prices[sym])
+                if len(history[sym]) > 30:
+                    history[sym] = history[sym][-30:]
+
+                dollar_change = round(prices[sym] - base_prices[sym], 2)
+                total_pct = round((prices[sym] - base_prices[sym]) / base_prices[sym] * 100, 2)
+                sign = "+" if dollar_change >= 0 else ""
+                color = "#40c057" if dollar_change >= 0 else "#fa5252"
+
+                set_props(f"live-price-{sym}", {"children": f"${prices[sym]:.2f}"})
+                set_props(f"live-change-{sym}", {
+                    "children": f"{sign}{dollar_change:.2f} ({sign}{total_pct:.2f}%)",
+                    "style": {"color": color},
+                })
+
+            selected = await ws.get_prop("sparkline-symbol", "value")
+            if selected and selected in history:
+                fig = create_sparkline(history[selected], selected)
+                set_props("sparkline-chart", {"figure": fig})
+
+            await asyncio.sleep(1)
+        else:
+            await asyncio.sleep(0.5)
+
+
diff --git a/investments-dashboard/callbacks/export_all.py b/investments-dashboard/callbacks/export_all.py
new file mode 100644
index 0000000..42067e3
--- /dev/null
+++ b/investments-dashboard/callbacks/export_all.py
@@ -0,0 +1,56 @@
+from datetime import datetime
+
+from dash import callback, Input, Output, dcc, html
+
+from utils.pdf_export import create_pdf_report
+from utils.data_loader import get_time_series_data, get_sector_allocation
+from components.charts import (
+    create_hypothetical_growth_chart,
+    create_performance_line_chart,
+    create_sector_donut_chart,
+    create_fee_comparison_chart,
+)
+from pages.performance import create_drawdown_chart
+
+
+@callback(
+    Output("download-pdf-all", "data"),
+    Output("pdf-status-all", "children"),
+    Input("generate-pdf-all-btn", "n_clicks"),
+    prevent_initial_call=True,
+)
+def generate_all_pdf(n_clicks):
+    if not n_clicks:
+        return None, ""
+    try:
+        ts_data = get_time_series_data()
+        sector_data = get_sector_allocation()
+
+        figures = [
+            create_hypothetical_growth_chart().to_dict(),
+            create_performance_line_chart(ts_data, "Performance Over Time").to_dict(),
+            create_drawdown_chart(ts_data).to_dict(),
+            create_sector_donut_chart(sector_data, "Sector Allocation").to_dict(),
+            create_fee_comparison_chart().to_dict(),
+        ]
+        titles = [
+            "Hypothetical Growth",
+            "Price Performance",
+            "Drawdown Analysis",
+            "Sector Allocation",
+            "Fee Comparison",
+        ]
+
+        pdf_bytes = create_pdf_report(
+            figures=figures,
+            titles=titles,
+            report_title="Investment Report",
+        )
+        filename = f"investment_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.pdf"
+        return dcc.send_bytes(pdf_bytes, filename), ""
+    except Exception as e:
+        import traceback
+        return None, html.Div(
+            f"PDF error: {e}\n{traceback.format_exc()}",
+            style={"color": "red", "white-space": "pre-wrap", "fontSize": "12px"},
+        )
diff --git a/investments-dashboard/callbacks/fees.py b/investments-dashboard/callbacks/fees.py
new file mode 100644
index 0000000..755e7ab
--- /dev/null
+++ b/investments-dashboard/callbacks/fees.py
@@ -0,0 +1,129 @@
+from dash import callback, Input, Output, State, dcc, html
+import plotly.graph_objects as go
+import pandas as pd
+from datetime import datetime
+
+from utils.data_loader import get_dividend_history
+from components.charts import CHART_COLORS, CHART_LAYOUT
+
+def calculate_fees(investment, years, fund_expense=0.0014, avg_expense=0.0099, annual_return=0.07):
+    """Calculate fee impact over time"""
+    fund_values = []
+    avg_values = []
+    
+    fund_value = investment
+    avg_value = investment
+    
+    for _ in range(years):
+        fund_value *= (1 + annual_return - fund_expense)
+        avg_value *= (1 + annual_return - avg_expense)
+        fund_values.append(fund_value)
+        avg_values.append(avg_value)
+    
+    fund_fees = investment * (1 + annual_return) ** years - fund_values[-1]
+    avg_fees = investment * (1 + annual_return) ** years - avg_values[-1]
+    savings = avg_fees - fund_fees
+    
+    return {
+        'fund_values': fund_values,
+        'avg_values': avg_values,
+        'fund_final': fund_values[-1],
+        'avg_final': avg_values[-1],
+        'fund_fees': fund_fees,
+        'avg_fees': avg_fees,
+        'savings': savings
+    }
+
+def create_dynamic_fee_comparison(investment, years):
+    """Create fee comparison chart with custom investment amount"""
+    results = calculate_fees(investment, years)
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Bar(
+        x=['Category Average', 'This Fund'],
+        y=[results['avg_fees'], results['fund_fees']],
+        marker_color=[CHART_COLORS['gray'], CHART_COLORS['primary']],
+        text=[f"${results['avg_fees']:,.0f}", f"${results['fund_fees']:,.0f}"],
+        textposition='outside',
+    ))
+    
+    fig.add_annotation(
+        x=1, y=results['fund_fees'] + results['savings'] * 0.15,
+        text=f"Save ${results['savings']:,.0f}",
+        showarrow=True,
+        arrowhead=2,
+        arrowcolor=CHART_COLORS['secondary'],
+        font={'color': CHART_COLORS['secondary'], 'weight': 600},
+    )
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': f'Fees on ${investment:,} Over {years} Years', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'tickprefix': '$', 'tickformat': ','},
+        showlegend=False,
+    )
+    
+    return fig
+
+def create_dynamic_cost_impact(investment, years):
+    """Create cost impact chart with custom parameters"""
+    all_years = list(range(1, years + 1))
+    results = calculate_fees(investment, years)
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Scatter(
+        x=all_years,
+        y=results['avg_values'],
+        name='Category Avg (0.99%)',
+        line={'color': CHART_COLORS['gray'], 'width': 2},
+    ))
+    
+    fig.add_trace(go.Scatter(
+        x=all_years,
+        y=results['fund_values'],
+        name='This Fund (0.14%)',
+        line={'color': CHART_COLORS['primary'], 'width': 2},
+        fill='tonexty',
+        fillcolor='rgba(34, 139, 230, 0.1)',
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': f'Long-Term Cost Impact (7% annual return)', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        xaxis={'title': 'Years'},
+        yaxis={'title': 'Portfolio Value', 'tickprefix': '$', 'tickformat': ','},
+        legend={'orientation': 'h', 'y': -0.15},
+    )
+    
+    return fig
+
+@callback(
+    [Output("fee-comparison-chart", "figure"),
+     Output("cost-impact-chart", "figure"),
+     Output("savings-amount", "children"),
+     Output("final-value-fund", "children"),
+     Output("final-value-avg", "children")],
+    [Input("investment-amount", "value"),
+     Input("time-horizon", "value")]
+)
+def update_fee_calculations(amount, years):
+    if amount is None or amount <= 0:
+        amount = 10000
+    if years is None or years <= 0:
+        years = 10
+    
+    results = calculate_fees(amount, years)
+    
+    fee_chart = create_dynamic_fee_comparison(amount, years)
+    cost_chart = create_dynamic_cost_impact(amount, years)
+    
+    return (
+        fee_chart,
+        cost_chart,
+        f"${results['savings']:,.0f}",
+        f"${results['fund_final']:,.0f}",
+        f"${results['avg_final']:,.0f}"
+    )
+
diff --git a/investments-dashboard/callbacks/performance.py b/investments-dashboard/callbacks/performance.py
new file mode 100644
index 0000000..b042c18
--- /dev/null
+++ b/investments-dashboard/callbacks/performance.py
@@ -0,0 +1,341 @@
+from dash import callback, Input, Output, State, dcc, html
+import plotly.graph_objects as go
+import pandas as pd
+from datetime import datetime, timedelta
+
+from utils.data_loader import get_time_series_data
+from components.charts import CHART_COLORS, CHART_LAYOUT
+
+BENCHMARK_COLUMNS = {
+    "calibre": ("Calibre Index Fund", CHART_COLORS['primary']),
+    "msci": ("MSCI EAFE Index Fund (ETF)", CHART_COLORS['secondary']),
+    "sp500": ('"S&amp;P 500 Index, y"', CHART_COLORS['tertiary']),
+}
+
+BENCHMARK_LABELS = {
+    "calibre": "Calibre Index Fund",
+    "msci": "MSCI EAFE Index",
+    "sp500": "S&P 500",
+}
+
+def calculate_date_range_from_period(period, df):
+    """Calculate date range based on period selector"""
+    if period == "All" or not period:
+        return None
+    
+    end_date = df['Date'].max()
+    
+    period_map = {
+        "1M": timedelta(days=30),
+        "3M": timedelta(days=90),
+        "6M": timedelta(days=180),
+        "1Y": timedelta(days=365),
+        "3Y": timedelta(days=365 * 3),
+        "5Y": timedelta(days=365 * 5),
+    }
+    
+    delta = period_map.get(period, timedelta(days=365))
+    start_date = end_date - delta
+    
+    return [start_date.strftime('%Y-%m-%d'), end_date.strftime('%Y-%m-%d')]
+
+def filter_data_by_date(df, date_range):
+    """Filter dataframe by date range"""
+    if date_range and len(date_range) == 2 and date_range[0] and date_range[1]:
+        start_date = pd.to_datetime(date_range[0])
+        end_date = pd.to_datetime(date_range[1])
+        return df[(df['Date'] >= start_date) & (df['Date'] <= end_date)]
+    return df
+
+def normalize_series(df, columns):
+    """Normalize series to start at 100"""
+    normalized_df = df.copy()
+    for col in columns:
+        if col in normalized_df.columns:
+            first_val = normalized_df[col].iloc[0]
+            if first_val != 0:
+                normalized_df[col] = (normalized_df[col] / first_val) * 100
+    return normalized_df
+
+def calculate_moving_average(df, col_name, window):
+    """Calculate moving average"""
+    if col_name in df.columns and window > 0:
+        return df[col_name].rolling(window=window).mean()
+    return None
+
+def calculate_performance_metrics(df, col_name):
+    """Calculate volatility, max drawdown, Sharpe, best/worst day"""
+    if col_name not in df.columns or len(df) < 2:
+        return {
+            'volatility': 0, 'max_drawdown': 0, 'sharpe': 0,
+            'best_day': 0, 'worst_day': 0
+        }
+    
+    returns = df[col_name].pct_change().dropna()
+    
+    if len(returns) == 0:
+        return {
+            'volatility': 0, 'max_drawdown': 0, 'sharpe': 0,
+            'best_day': 0, 'worst_day': 0
+        }
+    
+    volatility = returns.std() * (252 ** 0.5) * 100
+    
+    prices = df[col_name].values
+    peak = prices[0]
+    max_dd = 0
+    for price in prices:
+        if price > peak:
+            peak = price
+        dd = (price - peak) / peak * 100
+        if dd < max_dd:
+            max_dd = dd
+    
+    risk_free = 0.02
+    excess = returns.mean() * 252 - risk_free
+    std_ann = returns.std() * (252 ** 0.5)
+    sharpe = excess / std_ann if std_ann > 0 else 0
+    
+    best_day = returns.max() * 100
+    worst_day = returns.min() * 100
+    
+    return {
+        'volatility': volatility,
+        'max_drawdown': max_dd,
+        'sharpe': sharpe,
+        'best_day': best_day,
+        'worst_day': worst_day
+    }
+
+def create_dynamic_performance_chart(df, benchmarks, normalize=False, ma_period=None, log_scale=False, title="Performance Over Time"):
+    """Create performance chart with selected benchmarks, normalization, MA, and log scale"""
+    fig = go.Figure()
+    
+    columns_to_plot = []
+    for benchmark in benchmarks:
+        if benchmark in BENCHMARK_COLUMNS:
+            col_name, _ = BENCHMARK_COLUMNS[benchmark]
+            if col_name in df.columns:
+                columns_to_plot.append(col_name)
+    
+    plot_df = df.copy()
+    if normalize and columns_to_plot:
+        plot_df = normalize_series(plot_df, columns_to_plot)
+    
+    for benchmark in benchmarks:
+        if benchmark in BENCHMARK_COLUMNS:
+            col_name, color = BENCHMARK_COLUMNS[benchmark]
+            if col_name in plot_df.columns:
+                fig.add_trace(go.Scatter(
+                    x=plot_df['Date'],
+                    y=plot_df[col_name],
+                    name=BENCHMARK_LABELS.get(benchmark, benchmark),
+                    line={'color': color, 'width': 2},
+                    hovertemplate='%{y:.2f}<extra></extra>'
+                ))
+                
+                if ma_period and ma_period != "none":
+                    window = int(ma_period)
+                    ma = calculate_moving_average(plot_df, col_name, window)
+                    if ma is not None:
+                        fig.add_trace(go.Scatter(
+                            x=plot_df['Date'],
+                            y=ma,
+                            name=f"{BENCHMARK_LABELS.get(benchmark, benchmark)} {window}MA",
+                            line={'color': color, 'width': 1, 'dash': 'dot'},
+                            hovertemplate='%{y:.2f}<extra></extra>'
+                        ))
+    
+    y_prefix = '' if normalize else '$'
+    y_type = 'log' if log_scale else 'linear'
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': title, 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        legend={'orientation': 'h', 'y': -0.15},
+        xaxis={
+            'showgrid': True,
+            'gridcolor': 'rgba(0,0,0,0.05)',
+        },
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'tickprefix': y_prefix, 'type': y_type},
+    )
+    
+    return fig
+
+def create_dynamic_drawdown_chart(df, benchmarks, show_all=False):
+    """Calculate and plot drawdown for selected benchmarks"""
+    fig = go.Figure()
+    
+    colors = [CHART_COLORS['danger'], CHART_COLORS['secondary'], CHART_COLORS['tertiary']]
+    fill_colors = ['rgba(250, 82, 82, 0.2)', 'rgba(64, 192, 87, 0.15)', 'rgba(250, 176, 5, 0.15)']
+    
+    benchmarks_to_show = benchmarks if show_all else [benchmarks[0]] if benchmarks else ["calibre"]
+    
+    for idx, benchmark in enumerate(benchmarks_to_show):
+        col_name = BENCHMARK_COLUMNS.get(benchmark, BENCHMARK_COLUMNS["calibre"])[0]
+        
+        if col_name not in df.columns:
+            continue
+        
+        prices = df[col_name].values
+        peak = prices[0]
+        drawdowns = []
+        
+        for price in prices:
+            if price > peak:
+                peak = price
+            drawdown = (price - peak) / peak * 100
+            drawdowns.append(drawdown)
+        
+        color = colors[idx % len(colors)]
+        fill = fill_colors[idx % len(fill_colors)] if idx == 0 else 'rgba(0,0,0,0)'
+        
+        fig.add_trace(go.Scatter(
+            x=df['Date'],
+            y=drawdowns,
+            fill='tozeroy' if idx == 0 else 'none',
+            line={'color': color, 'width': 2 if idx == 0 else 1},
+            fillcolor=fill,
+            name=BENCHMARK_LABELS.get(benchmark, benchmark),
+        ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Drawdown Analysis', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'ticksuffix': '%'},
+        showlegend=len(benchmarks_to_show) > 1,
+        legend={'orientation': 'h', 'y': -0.15},
+    )
+    return fig
+
+def create_rolling_returns_chart(df, benchmarks, show_all=False, window=252):
+    """Create rolling returns chart for selected benchmarks"""
+    fig = go.Figure()
+    
+    if len(df) < window + 1:
+        fig.update_layout(
+            **CHART_LAYOUT,
+            title={'text': f'Rolling 1-Year Returns', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+            annotations=[{'text': 'Insufficient data for rolling calculation', 'showarrow': False, 'x': 0.5, 'y': 0.5, 'xref': 'paper', 'yref': 'paper'}]
+        )
+        return fig
+    
+    benchmarks_to_show = benchmarks if show_all else [benchmarks[0]] if benchmarks else ["calibre"]
+    
+    for idx, benchmark in enumerate(benchmarks_to_show):
+        col_name, color = BENCHMARK_COLUMNS.get(benchmark, BENCHMARK_COLUMNS["calibre"])
+        
+        if col_name not in df.columns:
+            continue
+        
+        rolling_returns = (df[col_name] / df[col_name].shift(window) - 1) * 100
+        
+        fill = 'tozeroy' if idx == 0 else 'none'
+        fill_color = 'rgba(34, 139, 230, 0.15)' if idx == 0 else 'rgba(0,0,0,0)'
+        
+        fig.add_trace(go.Scatter(
+            x=df['Date'],
+            y=rolling_returns,
+            fill=fill,
+            line={'color': color, 'width': 2 if idx == 0 else 1},
+            fillcolor=fill_color,
+            name=BENCHMARK_LABELS.get(benchmark, benchmark),
+        ))
+    
+    fig.add_hline(y=0, line_dash="dash", line_color="gray", line_width=1)
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': f'Rolling 1-Year Returns', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'ticksuffix': '%'},
+        showlegend=len(benchmarks_to_show) > 1,
+        legend={'orientation': 'h', 'y': -0.15},
+    )
+    return fig
+
+def calculate_stats(df, col_name="Calibre Index Fund"):
+    """Calculate stats for the filtered data"""
+    if col_name not in df.columns:
+        col_name = "Calibre Index Fund"
+    
+    high_val = df[col_name].max()
+    high_date = df.loc[df[col_name].idxmax(), 'Date']
+    
+    low_val = df[col_name].min()
+    low_date = df.loc[df[col_name].idxmin(), 'Date']
+    
+    current_val = df[col_name].iloc[-1]
+    
+    total_return = ((df[col_name].iloc[-1] - df[col_name].iloc[0]) / df[col_name].iloc[0]) * 100
+    
+    return {
+        'high': high_val,
+        'high_date': high_date,
+        'low': low_val,
+        'low_date': low_date,
+        'current': current_val,
+        'total_return': total_return
+    }
+
+@callback(
+    [Output("performance-chart", "figure"),
+     Output("drawdown-chart", "figure"),
+     Output("rolling-returns-chart", "figure"),
+     Output("period-high-value", "children"),
+     Output("period-high-date", "children"),
+     Output("period-low-value", "children"),
+     Output("period-low-date", "children"),
+     Output("current-price-value", "children"),
+     Output("total-return-value", "children"),
+     Output("total-return-value", "c"),
+     Output("perf-volatility", "children"),
+     Output("perf-max-drawdown", "children"),
+     Output("perf-sharpe", "children"),
+     Output("perf-best-day", "children"),
+     Output("perf-worst-day", "children")],
+    [Input("benchmark-selector", "value"),
+     Input("performance-period", "value"),
+     Input("normalize-toggle", "checked"),
+     Input("ma-selector", "value"),
+     Input("log-scale-toggle", "checked")]
+)
+def update_performance(benchmarks, period, normalize, ma_period, log_scale):
+    df = get_time_series_data()
+    
+    date_range = calculate_date_range_from_period(period, df)
+    filtered_df = filter_data_by_date(df, date_range)
+    
+    if not benchmarks:
+        benchmarks = ["calibre"]
+    
+    primary_benchmark = benchmarks[0] if benchmarks else "calibre"
+    col_name = BENCHMARK_COLUMNS.get(primary_benchmark, BENCHMARK_COLUMNS["calibre"])[0]
+    
+    perf_chart = create_dynamic_performance_chart(filtered_df, benchmarks, normalize, ma_period, log_scale)
+    drawdown_chart = create_dynamic_drawdown_chart(filtered_df, benchmarks, show_all=normalize)
+    rolling_chart = create_rolling_returns_chart(filtered_df, benchmarks, show_all=normalize)
+    
+    stats = calculate_stats(filtered_df, col_name)
+    metrics = calculate_performance_metrics(filtered_df, col_name)
+    
+    high_date_str = stats['high_date'].strftime('%Y-%m-%d') if hasattr(stats['high_date'], 'strftime') else str(stats['high_date'])
+    low_date_str = stats['low_date'].strftime('%Y-%m-%d') if hasattr(stats['low_date'], 'strftime') else str(stats['low_date'])
+    
+    return (
+        perf_chart,
+        drawdown_chart,
+        rolling_chart,
+        f"${stats['high']:.2f}",
+        high_date_str,
+        f"${stats['low']:.2f}",
+        low_date_str,
+        f"${stats['current']:.2f}",
+        f"{stats['total_return']:.1f}%",
+        "green" if stats['total_return'] > 0 else "red",
+        f"{metrics['volatility']:.1f}%",
+        f"{metrics['max_drawdown']:.1f}%",
+        f"{metrics['sharpe']:.2f}",
+        f"+{metrics['best_day']:.1f}%",
+        f"{metrics['worst_day']:.1f}%",
+    )
+
diff --git a/investments-dashboard/callbacks/portfolio.py b/investments-dashboard/callbacks/portfolio.py
new file mode 100644
index 0000000..418bccf
--- /dev/null
+++ b/investments-dashboard/callbacks/portfolio.py
@@ -0,0 +1,192 @@
+from dash import callback, Input, Output, State, dcc, html
+import plotly.graph_objects as go
+import plotly.express as px
+from datetime import datetime
+
+from utils.data_loader import get_sector_allocation
+from components.charts import CHART_COLORS, CHART_LAYOUT
+
+sector_data = get_sector_allocation()
+
+def create_sector_bar_with_highlight(highlighted_sector=None):
+    """Create sector bar chart with optional highlight"""
+    fig = go.Figure()
+    
+    colors = [CHART_COLORS['primary'] if (highlighted_sector is None or s == highlighted_sector) 
+              else 'rgba(34, 139, 230, 0.3)' 
+              for s in sector_data['Sector']]
+    
+    fig.add_trace(go.Bar(
+        y=sector_data['Sector'],
+        x=sector_data['Fund'],
+        name='Fund',
+        orientation='h',
+        marker_color=colors,
+    ))
+    
+    benchmark_colors = [CHART_COLORS['gray'] if (highlighted_sector is None or s == highlighted_sector) 
+                        else 'rgba(134, 142, 150, 0.3)' 
+                        for s in sector_data['Sector']]
+    
+    fig.add_trace(go.Bar(
+        y=sector_data['Sector'],
+        x=sector_data['Benchmark'],
+        name='Benchmark',
+        orientation='h',
+        marker_color=benchmark_colors,
+    ))
+    
+    title = 'Sector Allocation vs Benchmark'
+    if highlighted_sector:
+        title = f'Sector Allocation - {highlighted_sector} Highlighted'
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': title, 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        barmode='group',
+        bargap=0.3,
+        legend={'orientation': 'h', 'y': -0.15},
+        xaxis={'title': 'Allocation %', 'ticksuffix': '%'},
+        yaxis={'title': ''},
+        height=450,
+    )
+    
+    return fig
+
+@callback(
+    [Output("allocation-view", "style"),
+     Output("characteristics-view", "style"),
+     Output("risk-view", "style")],
+    Input("portfolio-view", "value")
+)
+def switch_portfolio_view(view):
+    """Switch between allocation, characteristics, and risk views"""
+    hidden = {"display": "none"}
+    visible = {"display": "block"}
+    
+    if view == "allocation":
+        return visible, hidden, hidden
+    elif view == "characteristics":
+        return hidden, visible, hidden
+    else:
+        return hidden, hidden, visible
+
+@callback(
+    Output("sector-bar-chart", "figure"),
+    Input("sector-donut", "clickData"),
+    State("sector-donut", "figure"),
+    prevent_initial_call=True
+)
+def highlight_sector(click_data, current_figure):
+    """Highlight selected sector in bar chart (synced with donut toggle)"""
+    if click_data and 'points' in click_data:
+        selected_idx = click_data['points'][0].get('pointNumber', None)
+        sector_name = click_data['points'][0].get('label', None)
+        
+        current_pull = current_figure.get('data', [{}])[0].get('pull', [])
+        already_selected = (
+            current_pull and 
+            selected_idx is not None and
+            len(current_pull) > selected_idx and 
+            current_pull[selected_idx] > 0
+        )
+        
+        if not already_selected:
+            return create_sector_bar_with_highlight(sector_name)
+    return create_sector_bar_with_highlight(None)
+
+@callback(
+    Output("sector-detail-text", "children"),
+    Input("sector-donut", "clickData"),
+    State("sector-donut", "figure")
+)
+def update_sector_detail(click_data, current_figure):
+    """Show sector details when clicked (synced with donut toggle)"""
+    if click_data and 'points' in click_data:
+        point = click_data['points'][0]
+        selected_idx = point.get('pointNumber', None)
+        sector = point.get('label', 'Unknown')
+        value = point.get('value', 0)
+        
+        current_pull = current_figure.get('data', [{}])[0].get('pull', []) if current_figure else []
+        already_selected = (
+            current_pull and 
+            selected_idx is not None and
+            len(current_pull) > selected_idx and 
+            current_pull[selected_idx] > 0
+        )
+        
+        if not already_selected:
+            return f"Selected: {sector} ({value:.1f}% allocation)"
+    return "Click on a sector to see details"
+
+@callback(
+    Output("sector-donut", "figure"),
+    Input("sector-donut", "clickData"),
+    State("sector-donut", "figure"),
+    prevent_initial_call=True
+)
+def highlight_donut_sector(click_data, current_figure):
+    """Highlight selected sector in donut chart (click again to reset)"""
+    import re
+    colors = px.colors.qualitative.Set3[:len(sector_data)]
+    
+    pull_values = [0] * len(sector_data)
+    opacities = [1] * len(sector_data)
+    
+    if click_data and 'points' in click_data:
+        selected_idx = click_data['points'][0].get('pointNumber', None)
+        if selected_idx is not None:
+            current_pull = current_figure.get('data', [{}])[0].get('pull', [])
+            already_selected = (
+                current_pull and 
+                len(current_pull) > selected_idx and 
+                current_pull[selected_idx] > 0
+            )
+            
+            if not already_selected:
+                pull_values = [0.15 if i == selected_idx else 0 for i in range(len(sector_data))]
+                opacities = [1 if i == selected_idx else 0.4 for i in range(len(sector_data))]
+    
+    adjusted_colors = []
+    for i, c in enumerate(colors):
+        if c.startswith('rgb('):
+            rgb_match = re.match(r'rgb\((\d+),\s*(\d+),\s*(\d+)\)', c)
+            if rgb_match:
+                r, g, b = rgb_match.groups()
+                adjusted_colors.append(f'rgba({r}, {g}, {b}, {opacities[i]})')
+            else:
+                adjusted_colors.append(c)
+        elif c.startswith('#'):
+            rgb = px.colors.hex_to_rgb(c)
+            adjusted_colors.append(f'rgba({rgb[0]}, {rgb[1]}, {rgb[2]}, {opacities[i]})')
+        else:
+            adjusted_colors.append(c)
+    
+    fig = go.Figure(go.Pie(
+        labels=sector_data['Sector'],
+        values=sector_data['Fund'],
+        hole=0.6,
+        marker={'colors': adjusted_colors, 'line': {'color': 'white', 'width': 2}},
+        textinfo='percent',
+        textposition='outside',
+        pull=pull_values,
+        hovertemplate='%{label}<br>%{value:.1f}%<extra></extra>'
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Sector Allocation (Click to highlight)', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        showlegend=True,
+        legend={'orientation': 'v', 'x': 1.05, 'y': 0.5},
+        annotations=[{
+            'text': 'Sectors',
+            'x': 0.5, 'y': 0.5,
+            'font': {'size': 14, 'weight': 600},
+            'showarrow': False
+        }]
+    )
+
+    return fig
+
+
diff --git a/investments-dashboard/components/__init__.py b/investments-dashboard/components/__init__.py
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/investments-dashboard/components/__init__.py
@@ -0,0 +1 @@
+
diff --git a/investments-dashboard/components/charts.py b/investments-dashboard/components/charts.py
new file mode 100644
index 0000000..9377d30
--- /dev/null
+++ b/investments-dashboard/components/charts.py
@@ -0,0 +1,232 @@
+import dash_mantine_components as dmc
+from dash import dcc
+import plotly.graph_objects as go
+import plotly.express as px
+
+CHART_COLORS = {
+    'primary': '#228be6',
+    'secondary': '#40c057', 
+    'tertiary': '#fab005',
+    'danger': '#fa5252',
+    'gray': '#868e96',
+}
+
+CHART_LAYOUT = {
+    'paper_bgcolor': 'rgba(0,0,0,0)',
+    'plot_bgcolor': 'rgba(0,0,0,0)',
+    'font': {'family': 'Inter, sans-serif'},
+    'margin': {'l': 40, 'r': 20, 't': 40, 'b': 40},
+    'hovermode': 'x unified',
+    'hoverlabel': {
+        'bgcolor': 'white',
+        'bordercolor': '#dee2e6',
+        'font': {'family': 'Inter, sans-serif', 'size': 13, 'color': '#333'},
+    },
+}
+
+def create_performance_line_chart(df, title="Performance Over Time"):
+    """Create multi-series line chart for fund performance"""
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Scatter(
+        x=df['Date'],
+        y=df['Calibre Index Fund'],
+        name='Calibre Index Fund',
+        line={'color': CHART_COLORS['primary'], 'width': 2},
+        hovertemplate='%{y:.2f}<extra></extra>'
+    ))
+    
+    fig.add_trace(go.Scatter(
+        x=df['Date'],
+        y=df['MSCI EAFE Index Fund (ETF)'],
+        name='MSCI EAFE Index',
+        line={'color': CHART_COLORS['secondary'], 'width': 2},
+        hovertemplate='%{y:.2f}<extra></extra>'
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': title, 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        legend={'orientation': 'h', 'y': -0.15},
+        xaxis={
+            'showgrid': True,
+            'gridcolor': 'rgba(0,0,0,0.05)',
+            'rangeselector': {
+                'buttons': [
+                    {'count': 1, 'label': '1M', 'step': 'month'},
+                    {'count': 6, 'label': '6M', 'step': 'month'},
+                    {'count': 1, 'label': 'YTD', 'step': 'year', 'stepmode': 'todate'},
+                    {'count': 1, 'label': '1Y', 'step': 'year'},
+                    {'count': 3, 'label': '3Y', 'step': 'year'},
+                    {'count': 5, 'label': '5Y', 'step': 'year'},
+                    {'step': 'all', 'label': 'All'}
+                ],
+                'bgcolor': 'rgba(0,0,0,0.02)',
+                'activecolor': CHART_COLORS['primary'],
+            },
+            'rangeslider': {'visible': False},
+        },
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'tickprefix': '$'},
+    )
+    fig.update_layout(margin={'l': 40, 'r': 20, 't': 100, 'b': 40})
+
+    return fig
+
+def create_sparkline(prices, symbol=""):
+    """Minimal area sparkline for live price history"""
+    color = CHART_COLORS['secondary'] if len(prices) > 1 and prices[-1] >= prices[0] else CHART_COLORS['danger']
+    hex_to_rgba = lambda c, a: f"rgba({int(c[1:3],16)},{int(c[3:5],16)},{int(c[5:7],16)},{a})"
+
+    fig = go.Figure(go.Scatter(
+        y=prices,
+        mode='lines',
+        fill='tozeroy',
+        line={'color': color, 'width': 2.5},
+        fillcolor=hex_to_rgba(color, 0.15),
+        hovertemplate='$%{y:.2f}<extra></extra>',
+    ))
+
+    if len(prices) > 1:
+        ymin, ymax = min(prices), max(prices)
+        padding = max((ymax - ymin) * 0.3, 0.10)
+        yrange = [ymin - padding, ymax + padding]
+    else:
+        yrange = None
+
+    fig.update_layout(
+        paper_bgcolor='rgba(0,0,0,0)',
+        plot_bgcolor='rgba(0,0,0,0)',
+        font={'family': 'Inter, sans-serif'},
+        margin={'l': 0, 'r': 0, 't': 20, 'b': 0},
+        xaxis={'visible': False},
+        yaxis={'visible': False, 'range': yrange},
+        showlegend=False,
+        title={'text': symbol, 'x': 0, 'font': {'size': 13, 'weight': 600}},
+        hovermode='x unified',
+    )
+    return fig
+
+def create_sector_donut_chart(sector_data, title="Sector Allocation"):
+    """Create donut chart for sector allocation"""
+    
+    colors = px.colors.qualitative.Set3[:len(sector_data)]
+    
+    fig = go.Figure(go.Pie(
+        labels=sector_data['Sector'],
+        values=sector_data['Fund'],
+        hole=0.6,
+        marker={'colors': colors},
+        textinfo='percent',
+        textposition='outside',
+        hovertemplate='%{label}<br>%{value:.1f}%<extra></extra>'
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': title, 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        showlegend=True,
+        legend={'orientation': 'v', 'x': 1.05, 'y': 0.5},
+        annotations=[{
+            'text': 'Sectors',
+            'x': 0.5, 'y': 0.5,
+            'font': {'size': 14, 'weight': 600},
+            'showarrow': False
+        }]
+    )
+    
+    return fig
+
+def create_hypothetical_growth_chart(initial=10000):
+    """Create hypothetical growth of $10k chart"""
+    
+    years = ['2008', '2010', '2012', '2014', '2016', '2018']
+    fund_values = [10000, 11500, 14000, 18500, 22000, 27500]
+    benchmark_values = [10000, 10800, 13200, 17000, 20500, 25000]
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Scatter(
+        x=years,
+        y=fund_values,
+        name='Calibre Index Fund',
+        fill='tozeroy',
+        line={'color': CHART_COLORS['primary'], 'width': 2},
+        fillcolor='rgba(34, 139, 230, 0.1)',
+        hovertemplate='$%{y:,.2f}<extra></extra>',
+    ))
+    
+    fig.add_trace(go.Scatter(
+        x=years,
+        y=benchmark_values,
+        name='S&P 500 Index',
+        line={'color': CHART_COLORS['gray'], 'width': 2, 'dash': 'dash'},
+        hovertemplate='$%{y:,.2f}<extra></extra>',
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': f'Hypothetical Growth of ${initial:,}', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        legend={'orientation': 'h', 'y': -0.15},
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'tickprefix': '$', 'tickformat': ','},
+        xaxis={'showgrid': False},
+    )
+    
+    return fig
+
+def create_fee_comparison_chart(fund_fee=329, avg_fee=2242):
+    """Create fee comparison bar chart"""
+    
+    savings = avg_fee - fund_fee
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Bar(
+        x=['Category Average', 'This Fund'],
+        y=[avg_fee, fund_fee],
+        marker_color=[CHART_COLORS['gray'], CHART_COLORS['primary']],
+        text=[f'${avg_fee:,}', f'${fund_fee:,}'],
+        textposition='outside',
+    ))
+    
+    fig.add_annotation(
+        x=1, y=fund_fee + 300,
+        text=f'Save ${savings:,}',
+        showarrow=True,
+        arrowhead=2,
+        arrowcolor=CHART_COLORS['secondary'],
+        font={'color': CHART_COLORS['secondary'], 'weight': 600},
+    )
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Fees on $10,000 Over 10 Years', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'tickprefix': '$'},
+        showlegend=False,
+    )
+    
+    return fig
+
+def create_dividend_timeline(dividend_data):
+    """Create dividend history chart"""
+    
+    df = dividend_data.copy()
+    df['Amount'] = df['Amount'].str.replace('$', '').astype(float)
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Bar(
+        x=df['Payable_Date'],
+        y=df['Amount'],
+        marker_color=CHART_COLORS['primary'],
+        name='Dividend',
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Dividend History', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'tickprefix': '$'},
+        xaxis={'title': 'Payment Date'},
+    )
+    
+    return fig
diff --git a/investments-dashboard/components/kpi_cards.py b/investments-dashboard/components/kpi_cards.py
new file mode 100644
index 0000000..036d311
--- /dev/null
+++ b/investments-dashboard/components/kpi_cards.py
@@ -0,0 +1,87 @@
+import dash_mantine_components as dmc
+from dash import html
+from dash_iconify import DashIconify
+
+def create_kpi_card(title, value, subtitle=None, trend=None, trend_positive=True, icon=None):
+    """Create a KPI card with optional trend indicator"""
+    
+    trend_color = "teal" if trend_positive else "red"
+    trend_icon = "tabler:trending-up" if trend_positive else "tabler:trending-down"
+    
+    content = [
+        dmc.Group([
+            dmc.Text(title, size="sm", c="dimmed", fw=500),
+            DashIconify(icon=icon, width=20, color="gray") if icon else None,
+        ], justify="space-between"),
+        dmc.Group([
+            dmc.Text(value, size="xl", fw=700),
+            dmc.Group([
+                DashIconify(icon=trend_icon, width=16, color=trend_color) if trend else None,
+                dmc.Text(trend, size="sm", c=trend_color, fw=500) if trend else None,
+            ], gap=4) if trend else None,
+        ], justify="space-between", mt="xs"),
+    ]
+    
+    if subtitle:
+        content.append(dmc.Text(subtitle, size="xs", c="dimmed", mt=4))
+    
+    return dmc.Paper(
+        dmc.Stack(content, gap="xs"),
+        p="md",
+        radius="md",
+        withBorder=True,
+        style={"minWidth": "200px"}
+    )
+
+def create_kpi_grid(metrics):
+    """Create a grid of KPI cards from metrics dict"""
+    
+    cards = [
+        create_kpi_card(
+            title="Net Asset Value",
+            value=f"${metrics['nav']:.2f}",
+            trend=f"{metrics['ytd_return']:.1f}% YTD",
+            trend_positive=metrics['ytd_return'] > 0,
+            icon="tabler:currency-dollar"
+        ),
+        create_kpi_card(
+            title="1 Year Return",
+            value=f"{metrics['1y_return']:.2f}%",
+            subtitle="vs S&P 500",
+            trend_positive=True,
+            icon="tabler:chart-line"
+        ),
+        create_kpi_card(
+            title="Expense Ratio",
+            value=metrics['expense_ratio'],
+            subtitle="vs 0.99% category avg",
+            trend="85% lower",
+            trend_positive=True,
+            icon="tabler:percentage"
+        ),
+        create_kpi_card(
+            title="Category",
+            value=metrics['category'],
+            subtitle=metrics['asset_class'],
+            icon="tabler:category"
+        ),
+    ]
+    
+    return dmc.SimpleGrid(
+        cards,
+        cols={"base": 1, "sm": 2, "lg": 4},
+        spacing="md"
+    )
+
+def create_stat_card(label, value, description=None):
+    """Simple stat card for fund facts"""
+    return dmc.Paper(
+        dmc.Stack([
+            dmc.Text(label, size="xs", c="dimmed", tt="uppercase", fw=600),
+            dmc.Text(value, size="lg", fw=600),
+            dmc.Text(description, size="xs", c="dimmed") if description else None,
+        ], gap=4),
+        p="sm",
+        radius="sm",
+        withBorder=True,
+    )
diff --git a/investments-dashboard/components/tables.py b/investments-dashboard/components/tables.py
new file mode 100644
index 0000000..e14c6c8
--- /dev/null
+++ b/investments-dashboard/components/tables.py
@@ -0,0 +1,103 @@
+import dash_mantine_components as dmc
+from dash import html
+import pandas as pd
+
+def create_data_table(df, title=None, striped=True):
+    """Create a styled Mantine table from DataFrame"""
+    
+    columns = df.columns.tolist()
+    
+    header = dmc.TableThead(
+        dmc.TableTr([
+            dmc.TableTh(col, style={'fontWeight': 600}) for col in columns
+        ])
+    )
+    
+    rows = []
+    for _, row in df.iterrows():
+        cells = []
+        for i, val in enumerate(row):
+            style = {}
+            if isinstance(val, str):
+                if '%' in val:
+                    try:
+                        num = float(val.replace('%', ''))
+                        style['color'] = '#40c057' if num > 0 else '#fa5252' if num < 0 else None
+                        style['fontWeight'] = 500
+                    except:
+                        pass
+            cells.append(dmc.TableTd(val, style=style))
+        rows.append(dmc.TableTr(cells))
+    
+    body = dmc.TableTbody(rows)
+    
+    table = dmc.Table(
+        [header, body],
+        striped=striped,
+        highlightOnHover=True,
+        withTableBorder=True,
+        withColumnBorders=True,
+    )
+    
+    if title:
+        return dmc.Stack([
+            dmc.Text(title, fw=600, size="lg"),
+            dmc.ScrollArea(table, type="auto"),
+        ], gap="sm")
+    
+    return dmc.ScrollArea(table, type="auto")
+
+def create_returns_table(df):
+    """Create formatted returns comparison table"""
+    return create_data_table(df, title="Average Annual Returns")
+
+def create_fund_facts_table(df):
+    """Create fund facts key-value table"""
+    
+    rows = []
+    for _, row in df.iterrows():
+        rows.append(
+            dmc.TableTr([
+                dmc.TableTd(row['label'], style={'fontWeight': 500, 'color': 'dimmed'}),
+                dmc.TableTd(str(row['value']).replace('"', ''), style={'fontWeight': 600}),
+            ])
+        )
+    
+    return dmc.Table(
+        dmc.TableTbody(rows),
+        withTableBorder=True,
+        highlightOnHover=True,
+    )
+
+def create_dividend_table(df):
+    """Create dividend history table"""
+    return create_data_table(df, title="Distribution History")
+
+def create_comparison_table(data, columns, title=None):
+    """Create a generic comparison table"""
+    
+    header = dmc.TableThead(
+        dmc.TableTr([dmc.TableTh(col, style={'fontWeight': 600}) for col in columns])
+    )
+    
+    rows = []
+    for row_data in data:
+        cells = [dmc.TableTd(cell) for cell in row_data]
+        rows.append(dmc.TableTr(cells))
+    
+    body = dmc.TableTbody(rows)
+    
+    table = dmc.Table(
+        [header, body],
+        striped=True,
+        highlightOnHover=True,
+        withTableBorder=True,
+    )
+    
+    if title:
+        return dmc.Stack([
+            dmc.Text(title, fw=600, size="lg"),
+            table
+        ], gap="sm")
+    
+    return table
diff --git a/investments-dashboard/data/df_after_tax.csv b/investments-dashboard/data/df_after_tax.csv
new file mode 100644
index 0000000..9ca9949
--- /dev/null
+++ b/investments-dashboard/data/df_after_tax.csv
@@ -0,0 +1,10 @@
+A,B,C,D,E,F
+'-,1 Year,3 Year,5 Year,10 Year,Since Inception 08/31/1976
+500 Index Fund Inv,'-,'-,'-,'-,'-
+Returns before taxes,21.67%,11.26%,15.62%,8.37%,11.11%
+Returns after taxes on distributions,21.15%,10.75%,15.10%,7.95%,—
+Returns after taxes on distributions and sale of fund shares,12.64%,8.71%,12.51%,6.75%,—
+Average Large Blend Fund,'-,'-,'-,'-,'-
+Returns before taxes,20.44%,9.70%,14.24%,7.61%,—
+Returns after taxes on distributions,—,—,—,—,—
+Returns after taxes on distributions and sale of fund shares,—,—,—,—,—
diff --git a/investments-dashboard/data/df_avg_returns.csv b/investments-dashboard/data/df_avg_returns.csv
new file mode 100644
index 0000000..b659957
--- /dev/null
+++ b/investments-dashboard/data/df_avg_returns.csv
@@ -0,0 +1,4 @@
+A,B,C,D,E,F
+'-,1 Year,3 Year,5 Year,10 Year,Since Inception 08/31/1976
+500 Index Fund Inv,16.94%,11.00%,14.57%,9.60%,11.12%
+S&P 500 Index*,17.10%,11.14%,14.73%,9.73%,'-
diff --git a/investments-dashboard/data/df_current_prices.csv b/investments-dashboard/data/df_current_prices.csv
new file mode 100644
index 0000000..b8c13ad
--- /dev/null
+++ b/investments-dashboard/data/df_current_prices.csv
@@ -0,0 +1,7 @@
+label,price,percent
+Price as of 02/27/2018,$254.07,
+Change,'-$3.23,'-1.26%
+SEC yield,,1.67%
+52-week high 01/26/2018,$265.42,
+52-week low 04/13/2017,$215.11,
+Range,$50.31,23.39%
diff --git a/investments-dashboard/data/df_dividend.csv b/investments-dashboard/data/df_dividend.csv
new file mode 100644
index 0000000..9a2e8ef
--- /dev/null
+++ b/investments-dashboard/data/df_dividend.csv
@@ -0,0 +1,8 @@
+A,B,C,D,E,F,G,H
+Distribution Type,Most Recent Distribution,Record Date,Reinvest Date,Payable Date,Reinvest Price,Distribution Yield,SEC Yield
+Dividend,$1.12620,12/21/2017,12/22/2017,12/26/2017,$247.63,—,1.77%  B
+Dividend,$1.12900,09/18/2017,09/19/2017,09/20/2017,$231.32,—,—
+Dividend,$0.96000,06/21/2017,06/22/2017,06/23/2017,$224.71,—,—
+Dividend,$0.96100,03/20/2017,03/21/2017,03/22/2017,$216.27,—,—
+Dividend,$1.25400,12/20/2016,12/21/2016,12/22/2016,$208.90,—,—
+Dividend,$0.85200,09/09/2016,09/12/2016,09/13/2016,$199.17,—,—
diff --git a/investments-dashboard/data/df_equity_char.csv b/investments-dashboard/data/df_equity_char.csv
new file mode 100644
index 0000000..766bdf9
--- /dev/null
+++ b/investments-dashboard/data/df_equity_char.csv
@@ -0,0 +1,13 @@
+A,B,C
+'-,500 Index Fund Inv,S&P 500 Index
+Number of stocks,507,505
+Median market cap,$105.4 billion,$105.4 billion
+Price/earnings ratio,23.9x,24.3x
+Price/book ratio,3.3x,3.3x
+Return on equity,16.1%,16.1%
+Earnings growth rate,9.9%,8.9%
+Foreign holdings,0.1%,—
+Turnover rate (as of fiscal year end December),4.1%,—
+Short-term reserves,0.0%,—
+Fund total net assets,$421.1 billion,—
+Share class total net assets,$29.0 billion,—
diff --git a/investments-dashboard/data/df_equity_diver.csv b/investments-dashboard/data/df_equity_diver.csv
new file mode 100644
index 0000000..ef345d8
--- /dev/null
+++ b/investments-dashboard/data/df_equity_diver.csv
@@ -0,0 +1,14 @@
+A,B,C
+'-,500 Index Fund Inv as of 01/31/2018,S&P 500 Index as of 01/31/2018
+Consumer Discretionary,12.60%,12.60%
+Consumer Staples,7.90%,7.90%
+Energy,6.00%,6.00%
+Financials,14.90%,14.90%
+Health Care,13.90%,13.90%
+Industrials,10.30%,10.30%
+Information Technology,24.20%,24.20%
+Materials,2.90%,2.90%
+Other,0.00%,—
+Real Estate,2.70%,2.70%
+Telecommunication Services,1.90%,1.90%
+Utilities,2.70%,2.70%
diff --git a/investments-dashboard/data/df_expenses.csv b/investments-dashboard/data/df_expenses.csv
new file mode 100644
index 0000000..5fa99cf
--- /dev/null
+++ b/investments-dashboard/data/df_expenses.csv
@@ -0,0 +1,4 @@
+A,B
+'-,Expense Ratio
+500 Index Fund Inv,0.14%
+Average expense ratio of similar funds*,0.99%
diff --git a/investments-dashboard/data/df_fund_facts.csv b/investments-dashboard/data/df_fund_facts.csv
new file mode 100644
index 0000000..9136141
--- /dev/null
+++ b/investments-dashboard/data/df_fund_facts.csv
@@ -0,0 +1,7 @@
+label,value
+Asset Class,Domestic Stock - General
+Category,Large Blend
+Expense ratio as of 04/27/2017,0.14%
+Minimum investment,"""$3,000"""
+Fund number,0040
+Fund advisor,Equity Index Group
diff --git a/investments-dashboard/data/df_graph.csv b/investments-dashboard/data/df_graph.csv
new file mode 100644
index 0000000..6ca62e7
--- /dev/null
+++ b/investments-dashboard/data/df_graph.csv
@@ -0,0 +1,2564 @@
+Date,Calibre Index Fund,"""Nasdaq Composite, x""","""Nasdaq Composite, y""","""MSCI EAFE Index Fund (ETF), x""",MSCI EAFE Index Fund (ETF),"""Dow Jones Industrial Average, y""","""S&amp;P 500 Index, y"""
+2007-12-31,135.149994,2018-02-07,7051.97998,2008-01-02,78.22,13264.820313,1468.359985
+2008-01-02,133.220001,2018-02-08,6777.160156,2008-01-03,78.35,13043.959961,1447.160034
+2008-01-03,133.220001,2018-02-09,6874.490234000001,2008-01-04,76.57,13056.719727,1447.160034
+2008-01-04,129.949997,2018-02-12,6981.959961,2008-01-07,76.65,12800.179688,1411.630005
+2008-01-07,130.369995,2018-02-13,7013.509765999999,2008-01-08,76.22,12827.490234,1416.180054
+2008-01-08,128.020004,2018-02-14,7143.620117,2008-01-09,76.77,12589.070313,1390.189941
+2008-01-09,129.770004,2018-02-15,7256.430176000001,2008-01-10,76.69,12735.30957,1409.130005
+2008-01-10,130.800003,2018-02-16,7239.470215,2008-01-11,75.16,12853.089844,1420.329956
+2008-01-11,129.03999299999998,2018-02-20,7234.310059,2008-01-14,76.36,12606.299805,1401.02002
+2008-01-14,130.440002,2018-02-21,7218.22998,2008-01-15,73.88,12778.150391,1416.25
+2008-01-15,127.190002,2018-02-22,7210.089844,2008-01-16,72.39,12501.110352,1380.949951
+2008-01-16,126.480003,2018-02-23,7337.390137,2008-01-17,71.3,12466.160156,1373.199951
+2008-01-17,122.809998,2018-02-26,7421.459961,2008-01-18,71.71,12159.209961,1333.25
+2008-01-18,122.07,2018-02-27,7330.350098000001,2008-01-22,69.71,12099.299805,1325.189941
+2008-01-22,120.709999,2018-02-28,7273.009765999999,2008-01-23,69.3,11971.19043,1310.5
+2008-01-23,123.300003,2018-03-01,7180.560059,2008-01-24,71.73,12270.169922,1338.599976
+2008-01-24,124.540001,2018-03-02,7257.870117,2008-01-25,70.69,12378.610352,1352.069946
+2008-01-25,122.57,2018-03-05,7330.709961,2008-01-28,71.48,12207.169922,1330.609985
+2008-01-28,124.720001,2018-03-06,7372.009765999999,2008-01-29,71.91,12383.889648,1353.959961
+2008-01-29,125.5,,,2008-01-30,71.58,12480.299805,1362.300049
+2008-01-30,124.910004,,,2008-01-31,72.34,12442.830078,1355.810059
+2008-01-31,127.019997,,,2008-02-01,73.55,12650.360352,1378.550049
+2008-02-01,128.580002,,,2008-02-04,72.8,12743.19043,1395.420044
+2008-02-04,127.230003,,,2008-02-05,69.46,12635.160156,1380.819946
+2008-02-05,123.16999799999999,,,2008-02-06,69.4,12265.129883,1336.640015
+2008-02-06,122.279999,,,2008-02-07,69.05,12200.099609,1326.449951
+2008-02-07,123.279999,,,2008-02-08,68.34,12247.0,1336.910034
+2008-02-08,122.760002,,,2008-02-11,68.7,12182.129883,1331.290039
+2008-02-11,123.489998,,,2008-02-12,70.18,12240.009766,1339.130005
+2008-02-12,124.389999,,,2008-02-13,70.66,12373.410156,1348.859985
+2008-02-13,126.129997,,,2008-02-14,70.34,12552.240234,1367.209961
+2008-02-14,124.440002,,,2008-02-15,70.6,12376.980469,1348.859985
+2008-02-15,124.550003,,,2008-02-19,71.29,12348.209961,1349.98999
+2008-02-19,124.449997,,,2008-02-20,70.92,12337.219727,1348.780029
+2008-02-20,125.489998,,,2008-02-21,70.79,12427.259766,1360.030029
+2008-02-21,123.91999799999999,,,2008-02-22,71.69,12284.299805,1342.530029
+2008-02-22,124.910004,,,2008-02-25,72.83,12381.019531,1353.109985
+2008-02-25,126.639999,,,2008-02-26,73.91,12570.219727,1371.800049
+2008-02-26,127.519997,,,2008-02-27,74.15,12684.919922,1381.290039
+2008-02-27,127.43,,,2008-02-28,73.44,12694.280273,1380.02002
+2008-02-28,126.300003,,,2008-02-29,71.6,12582.179688,1367.680054
+2008-02-29,122.889999,,,2008-03-03,71.81,12266.389648,1330.630005
+2008-03-03,122.949997,,,2008-03-04,70.72,12258.900391,1331.339966
+2008-03-04,122.529999,,,2008-03-05,71.57,12213.799805,1326.75
+2008-03-05,123.230003,,,2008-03-06,70.55,12254.990234,1333.699951
+2008-03-06,120.540001,,,2008-03-07,69.72,12040.389648,1304.339966
+2008-03-07,119.519997,,,2008-03-10,69.37,11893.69043,1293.369995
+2008-03-10,117.690002,,,2008-03-11,71.56,11740.150391,1273.369995
+2008-03-11,122.059998,,,2008-03-12,71.56,12156.80957,1320.650024
+2008-03-12,120.989998,,,2008-03-13,71.68,12110.240234,1308.77002
+2008-03-13,121.620003,,,2008-03-14,69.95,12145.740234,1315.47998
+2008-03-14,119.089996,,,2008-03-17,68.89,11951.089844,1288.140015
+2008-03-17,118.040001,,,2008-03-18,71.0,11972.25,1276.599976
+2008-03-18,123.050003,,,2008-03-19,68.43,12392.660156,1330.73999
+2008-03-19,120.059998,,,2008-03-20,69.46,12099.660156,1298.420044
+2008-03-20,122.940002,,,2008-03-24,70.73,12361.320313,1329.51001
+2008-03-24,124.82,,,2008-03-25,71.76,12548.639648,1349.880005
+2008-03-25,125.110001,,,2008-03-26,71.76,12532.599609,1352.98999
+2008-03-26,124.019997,,,2008-03-27,71.7,12422.860352,1341.130005
+2008-03-27,122.019997,,,2008-03-28,71.64,12302.459961,1325.76001
+2008-03-28,121.059998,,,2008-03-31,71.9,12216.400391,1315.219971
+2008-03-31,121.75,,,2008-04-01,74.17,12262.889648,1322.699951
+2008-04-01,126.120003,,,2008-04-02,74.33,12654.360352,1370.180054
+2008-04-02,125.900002,,,2008-04-03,74.55,12608.919922,1367.530029
+2008-04-03,126.059998,,,2008-04-04,74.8,12626.030273,1369.310059
+2008-04-04,126.160004,,,2008-04-07,75.26,12609.419922,1370.400024
+2008-04-07,126.360001,,,2008-04-08,74.47,12612.429688,1372.540039
+2008-04-08,125.760002,,,2008-04-09,73.86,12576.44043,1365.540039
+2008-04-09,124.75,,,2008-04-10,73.63,12527.259766,1354.48999
+2008-04-10,125.309998,,,2008-04-11,72.64,12581.980469,1360.550049
+2008-04-11,122.769997,,,2008-04-14,72.8,12325.419922,1332.829956
+2008-04-14,122.349998,,,2008-04-15,73.31,12302.05957,1328.319946
+2008-04-15,122.91999799999999,,,2008-04-16,75.62,12362.469727,1334.430054
+2008-04-16,125.720001,,,2008-04-17,74.78,12619.269531,1364.709961
+2008-04-17,125.809998,,,2008-04-18,75.31,12620.490234,1365.560059
+2008-04-18,128.080002,,,2008-04-21,75.9,12849.360352,1390.329956
+2008-04-21,127.889999,,,2008-04-22,75.11,12825.019531,1388.170044
+2008-04-22,126.760002,,,2008-04-23,75.5,12720.230469,1375.939941
+2008-04-23,127.129997,,,2008-04-24,75.01,12763.219727,1379.930054
+2008-04-24,127.949997,,,2008-04-25,75.63,12848.950195,1388.819946
+2008-04-25,128.779999,,,2008-04-28,76.07,12891.860352,1397.839966
+2008-04-28,128.649994,,,2008-04-29,75.4,12871.75,1396.369995
+2008-04-29,128.149994,,,2008-04-30,75.81,12831.94043,1390.939941
+2008-04-30,127.66999799999999,,,2008-05-01,76.27,12820.129883,1385.589966
+2008-05-01,129.880005,,,2008-05-02,76.48,13010.0,1409.339966
+2008-05-02,130.300003,,,2008-05-05,76.61,13058.200195,1413.900024
+2008-05-05,129.720001,,,2008-05-06,77.18,12969.540039,1407.48999
+2008-05-06,130.71000700000002,,,2008-05-07,75.83,13020.830078,1418.26001
+2008-05-07,128.399994,,,2008-05-08,76.49,12814.349609,1392.569946
+2008-05-08,128.869995,,,2008-05-09,75.88,12866.780273,1397.680054
+2008-05-09,128.029999,,,2008-05-12,76.64,12745.879883,1388.280029
+2008-05-12,129.449997,,,2008-05-13,76.38,12876.30957,1403.579956
+2008-05-13,129.429993,,,2008-05-14,76.38,12832.179688,1403.040039
+2008-05-14,129.970001,,,2008-05-15,77.68,12898.379883,1408.660034
+2008-05-15,131.369995,,,2008-05-16,78.52,12992.660156,1423.569946
+2008-05-16,131.53999299999998,,,2008-05-19,78.2,12986.799805,1425.349976
+2008-05-19,131.669998,,,2008-05-20,77.48,13028.160156,1426.630005
+2008-05-20,130.449997,,,2008-05-21,76.6,12828.679688,1413.400024
+2008-05-21,128.360001,,,2008-05-22,77.49,12601.19043,1390.709961
+2008-05-22,128.720001,,,2008-05-23,76.61,12625.620117,1394.349976
+2008-05-23,127.019997,,,2008-05-27,76.46,12479.629883,1375.930054
+2008-05-27,127.889999,,,2008-05-28,76.45,12548.349609,1385.349976
+2008-05-28,128.419998,,,2008-05-29,76.28,12594.030273,1390.839966
+2008-05-29,129.119995,,,2008-05-30,76.71,12646.219727,1398.26001
+2008-05-30,129.309998,,,2008-06-02,75.91,12638.320313,1400.380005
+2008-06-02,127.959999,,,2008-06-03,75.75,12503.820313,1385.670044
+2008-06-03,127.220001,,,2008-06-04,75.31,12402.849609,1377.650024
+2008-06-04,127.239998,,,2008-06-05,76.56,12390.480469,1377.199951
+2008-06-05,129.729996,,,2008-06-06,74.36,12604.450195,1404.050049
+2008-06-06,125.739998,,,2008-06-09,74.26,12209.80957,1360.680054
+2008-06-09,125.839996,,,2008-06-10,73.0,12280.320313,1361.76001
+2008-06-10,125.540001,,,2008-06-11,72.07,12289.759766,1358.439941
+2008-06-11,123.440002,,,2008-06-12,71.82,12083.769531,1335.48999
+2008-06-12,123.860001,,,2008-06-13,72.48,12141.580078,1339.869995
+2008-06-13,125.720001,,,2008-06-16,72.85,12307.349609,1360.030029
+2008-06-16,125.730003,,,2008-06-17,73.07,12269.080078,1360.140015
+2008-06-17,124.879997,,,2008-06-18,72.47,12160.299805,1350.930054
+2008-06-18,123.66999799999999,,,2008-06-19,72.33,12029.05957,1337.810059
+2008-06-19,124.16999799999999,,,2008-06-20,70.75,12063.089844,1342.829956
+2008-06-20,121.870003,,,2008-06-23,70.74,11842.69043,1317.930054
+2008-06-23,121.870003,,,2008-06-24,70.42,11842.360352,1318.0
+2008-06-24,121.529999,,,2008-06-25,69.85,11807.429688,1314.290039
+2008-06-25,122.25,,,2008-06-26,68.08,11811.830078,1321.969971
+2008-06-26,118.120003,,,2008-06-27,68.26,11453.419922,1283.150024
+2008-06-27,117.68,,,2008-06-30,68.67,11346.509766,1278.380005
+2008-06-30,117.83000200000001,,,2008-07-01,67.93,11350.009766,1280.0
+2008-07-01,118.309998,,,2008-07-02,66.85,11382.259766,1284.910034
+2008-07-02,116.160004,,,2008-07-03,67.28,11215.509766,1261.52002
+2008-07-03,116.290001,,,2008-07-07,66.7,11288.540039,1262.900024
+2008-07-07,115.32,,,2008-07-08,67.05,11231.959961,1252.310059
+2008-07-08,117.33000200000001,,,2008-07-09,66.18,11384.209961,1273.699951
+2008-07-09,114.66999799999999,,,2008-07-10,66.75,11147.44043,1244.689941
+2008-07-10,115.470001,,,2008-07-11,65.7,11229.019531,1253.390015
+2008-07-11,114.199997,,,2008-07-14,65.56,11100.540039,1239.48999
+2008-07-14,113.16999799999999,,,2008-07-15,64.51,11055.19043,1228.300049
+2008-07-15,111.940002,,,2008-07-16,65.7,10962.540039,1214.910034
+2008-07-16,114.760002,,,2008-07-17,66.7,11239.280273,1245.359985
+2008-07-17,116.139999,,,2008-07-18,67.13,11446.660156,1260.319946
+2008-07-18,116.18,,,2008-07-21,67.52,11496.570313,1260.680054
+2008-07-21,116.120003,,,2008-07-22,67.75,11467.339844,1260.0
+2008-07-22,117.690002,,,2008-07-23,68.0,11602.5,1277.0
+2008-07-23,118.160004,,,2008-07-24,66.76,11632.379883,1282.189941
+2008-07-24,115.43,,,2008-07-25,66.9,11349.280273,1252.540039
+2008-07-25,115.91999799999999,,,2008-07-28,65.78,11370.69043,1257.76001
+2008-07-28,113.760002,,,2008-07-29,66.43,11131.080078,1234.369995
+2008-07-29,116.43,,,2008-07-30,67.05,11397.55957,1263.199951
+2008-07-30,118.379997,,,2008-07-31,66.39,11583.69043,1284.26001
+2008-07-31,116.849998,,,2008-08-01,65.4,11378.019531,1267.380005
+2008-08-01,116.199997,,,2008-08-04,64.78,11326.320313,1260.310059
+2008-08-04,115.160004,,,2008-08-05,66.42,11284.150391,1249.01001
+2008-08-05,118.470001,,,2008-08-06,66.44,11615.769531,1284.880005
+2008-08-06,118.93,,,2008-08-07,65.11,11656.070313,1289.189941
+2008-08-07,116.809998,,,2008-08-08,65.38,11431.429688,1266.069946
+2008-08-08,119.599998,,,2008-08-11,65.32,11734.320313,1296.319946
+2008-08-11,120.459999,,,2008-08-12,64.85,11782.349609,1305.319946
+2008-08-12,119.010002,,,2008-08-13,63.83,11642.469727,1289.589966
+2008-08-13,118.709999,,,2008-08-14,63.58,11532.959961,1285.829956
+2008-08-14,119.370003,,,2008-08-15,63.16,11615.929688,1292.930054
+2008-08-15,119.870003,,,2008-08-18,62.84,11659.900391,1298.199951
+2008-08-18,118.07,,,2008-08-19,62.13,11479.389648,1278.599976
+2008-08-19,116.980003,,,2008-08-20,62.5,11348.549805,1266.689941
+2008-08-20,117.709999,,,2008-08-21,62.75,11417.429688,1274.540039
+2008-08-21,118.010002,,,2008-08-22,63.04,11430.209961,1277.719971
+2008-08-22,119.360001,,,2008-08-25,62.05,11628.05957,1292.199951
+2008-08-25,117.019997,,,2008-08-26,62.36,11386.25,1266.839966
+2008-08-26,117.449997,,,2008-08-27,62.95,11412.870117,1271.51001
+2008-08-27,118.410004,,,2008-08-28,63.76,11502.509766,1281.660034
+2008-08-28,120.18,,,2008-08-29,63.57,11715.179688,1300.680054
+2008-08-29,118.540001,,,2008-09-02,62.59,11543.959961,1282.829956
+2008-09-02,118.050003,,,2008-09-03,62.33,11516.919922,1277.579956
+2008-09-03,117.870003,,,2008-09-04,59.66,11532.879883,1274.97998
+2008-09-04,114.349998,,,2008-09-05,59.44,11188.230469,1236.829956
+2008-09-05,114.860001,,,2008-09-08,60.77,11220.959961,1242.310059
+2008-09-08,117.230003,,,2008-09-09,58.8,11510.740234,1267.790039
+2008-09-09,113.230003,,,2008-09-10,59.37,11230.730469,1224.51001
+2008-09-10,113.93,,,2008-09-11,59.24,11268.919922,1232.040039
+2008-09-11,115.540001,,,2008-09-12,60.4,11433.709961,1249.050049
+2008-09-12,115.790001,,,2008-09-15,57.83,11421.990234,1251.699951
+2008-09-15,110.360001,,,2008-09-16,57.4,10917.509766,1192.699951
+2008-09-16,112.269997,,,2008-09-17,55.21,11059.019531,1213.599976
+2008-09-17,106.980003,,,2008-09-18,57.72,10609.660156,1156.390015
+2008-09-18,111.639999,,,2008-09-19,61.81,11019.69043,1206.51001
+2008-09-19,116.139999,,,2008-09-22,59.7,11388.44043,1255.079956
+2008-09-22,111.709999,,,2008-09-23,58.86,11015.69043,1207.089966
+2008-09-23,109.959999,,,2008-09-24,59.03,10854.169922,1188.219971
+2008-09-24,109.75,,,2008-09-25,60.39,10825.169922,1185.869995
+2008-09-25,111.269997,,,2008-09-26,59.75,11022.05957,1209.180054
+2008-09-26,111.650002,,,2008-09-29,53.08,11143.129883,1213.27002
+2008-09-29,101.849998,,,2008-09-30,56.3,10365.450195,1106.420044
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+2008-10-01,106.900002,,,2008-10-02,53.44,10831.070313,1161.060059
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+2008-10-03,101.230003,,,2008-10-06,50.22,10325.379883,1099.22998
+2008-10-06,97.33000200000001,,,2008-10-07,47.87,9955.5,1056.890015
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+2008-10-09,83.839996,,,2008-10-10,42.36,8579.19043,909.919983
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+2009-01-08,83.769997,,,2009-01-09,43.51,8742.459961,909.7299800000001
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+2009-01-12,80.139999,,,2009-01-13,41.68,8473.969727,870.26001
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+2009-01-29,77.870003,,,2009-01-30,38.7,8149.009765999999,845.1400150000001
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+2009-02-17,72.870003,,,2009-02-18,36.47,7552.600098000001,789.169983
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+2009-02-27,67.989998,,,2009-03-02,32.69,7062.930176000001,735.090027
+2009-03-02,64.83000200000001,,,2009-03-03,32.56,6763.290039,700.820007
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+2009-03-04,65.959999,,,2009-03-05,32.64,6875.839844,712.869995
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+2009-03-17,72.08000200000001,,,2009-03-18,37.37,7395.700195,778.119995
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+2009-04-13,79.110001,,,2009-04-14,40.32,8057.810059,858.7299800000001
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+2009-04-21,78.33000200000001,,,2009-04-22,39.87,7969.560059,850.080017
+2009-04-22,77.739998,,,2009-04-23,40.87,7886.569823999999,843.5499880000001
+2009-04-23,78.519997,,,2009-04-24,41.5,7957.060059,851.919983
+2009-04-24,79.839996,,,2009-04-27,41.01,8076.290039,866.2299800000001
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+2009-05-01,80.900002,,,2009-05-04,44.17,8212.410156,877.5200199999999
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+2009-05-08,85.699997,,,2009-05-11,44.78,8574.650391,929.2299800000001
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+2009-05-14,82.459999,,,2009-05-15,43.75,8331.320313,893.070007
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+2009-06-12,87.58000200000001,,,2009-06-15,46.69,8799.259766,946.2100220000001
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+2009-06-19,85.300003,,,2009-06-22,45.42,8539.730469,921.2299800000001
+2009-06-22,82.709999,,,2009-06-23,45.06,8339.009766,893.0399779999999
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+2009-07-30,91.07,,,2009-07-31,50.41,9154.459961,986.75
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+2009-08-04,92.82,,,2009-08-05,51.29,9320.19043,1005.650024
+2009-08-05,92.58000200000001,,,2009-08-06,50.97,9280.969727,1002.7199710000001
+2009-08-06,92.07,,,2009-08-07,50.92,9256.259766,997.080017
+2009-08-07,93.300003,,,2009-08-10,50.61,9370.070313,1010.4799800000001
+2009-08-10,92.989998,,,2009-08-12,50.89,9337.950195,1007.099976
+2009-08-11,91.839996,,,2009-08-13,51.67,9241.450195,994.349976
+2009-08-12,92.93,,,2009-08-14,51.23,9361.610352,1005.8099980000001
+2009-08-13,93.58000200000001,,,2009-08-17,49.58,9398.19043,1012.7299800000001
+2009-08-14,92.779999,,,2009-08-18,50.44,9321.400391,1004.090027
+2009-08-17,90.550003,,,2009-08-19,50.87,9135.339844,979.7299800000001
+2009-08-18,91.489998,,,2009-08-20,51.23,9217.94043,989.669983
+2009-08-19,92.129997,,,2009-08-21,52.35,9279.160156,996.4600220000001
+2009-08-20,93.139999,,,2009-08-24,52.34,9350.049805,1007.3699949999999
+2009-08-21,94.889999,,,2009-08-25,52.86,9505.959961,1026.130005
+2009-08-24,94.839996,,,2009-08-26,52.64,9509.280273,1025.569946
+2009-08-25,95.059998,,,2009-08-27,53.04,9539.290039,1028.0
+2009-08-26,95.089996,,,2009-08-28,53.07,9543.519531,1028.119995
+2009-08-27,95.360001,,,2009-08-31,52.68,9580.629883,1030.97998
+2009-08-28,95.18,,,2009-09-01,51.37,9544.200195,1028.930054
+2009-08-31,94.41999799999999,,,2009-09-02,51.31,9496.280273,1020.6199949999999
+2009-09-01,92.33000200000001,,,2009-09-03,51.71,9310.599609,998.0399779999999
+2009-09-02,92.050003,,,2009-09-04,52.5,9280.669922,994.75
+2009-09-03,92.839996,,,2009-09-08,53.54,9344.610352,1003.23999
+2009-09-04,94.07,,,2009-09-09,54.2,9441.269531,1016.400024
+2009-09-08,94.910004,,,2009-09-10,54.68,9497.339844,1025.390015
+2009-09-09,95.650002,,,2009-09-11,54.61,9547.219727,1033.369995
+2009-09-10,96.650002,,,2009-09-14,54.72,9627.480469,1044.140015
+2009-09-11,96.540001,,,2009-09-15,54.73,9605.410156,1042.72998
+2009-09-14,97.150002,,,2009-09-16,55.81,9626.799805,1049.339966
+2009-09-15,97.459999,,,2009-09-17,55.45,9683.410156,1052.630005
+2009-09-16,98.959999,,,2009-09-18,55.6,9791.709961,1068.76001
+2009-09-17,98.66999799999999,,,2009-09-21,55.01,9783.919922,1065.48999
+2009-09-18,98.93,,,2009-09-22,55.77,9820.200195,1068.300049
+2009-09-21,98.589996,,,2009-09-23,55.29,9778.860352,1064.660034
+2009-09-22,99.239998,,,2009-09-24,54.48,9829.870117,1071.660034
+2009-09-23,98.239998,,,2009-09-25,54.25,9748.549805,1060.869995
+2009-09-24,97.32,,,2009-09-28,54.99,9707.44043,1050.780029
+2009-09-25,96.730003,,,2009-09-29,54.66,9665.19043,1044.380005
+2009-09-28,97.980003,,,2009-09-30,54.68,9789.360352,1062.97998
+2009-09-29,97.769997,,,2009-10-01,53.25,9742.200195,1060.609985
+2009-09-30,97.449997,,,2009-10-02,52.66,9712.280273,1057.079956
+2009-10-01,94.940002,,,2009-10-05,53.42,9509.280273,1029.849976
+2009-10-02,94.519997,,,2009-10-06,54.32,9487.669922,1025.209961
+2009-10-05,95.91999799999999,,,2009-10-07,54.52,9599.75,1040.459961
+2009-10-06,97.239998,,,2009-10-08,55.31,9731.25,1054.719971
+2009-10-07,97.550003,,,2009-10-09,55.17,9725.580078,1057.579956
+2009-10-08,98.279999,,,2009-10-12,55.5,9786.870117,1065.47998
+2009-10-09,98.839996,,,2009-10-13,55.38,9864.94043,1071.48999
+2009-10-12,99.269997,,,2009-10-14,56.71,9885.799805,1076.189941
+2009-10-13,99.0,,,2009-10-15,56.97,9871.05957,1073.189941
+2009-10-14,100.739998,,,2009-10-16,56.11,10015.860352,1092.02002
+2009-10-15,101.160004,,,2009-10-19,57.01,10062.94043,1096.560059
+2009-10-16,100.339996,,,2009-10-20,56.71,9995.910156,1087.680054
+2009-10-19,101.279999,,,2009-10-21,56.52,10092.19043,1097.910034
+2009-10-20,100.660004,,,2009-10-22,57.07,10041.480469,1091.060059
+2009-10-21,99.779999,,,2009-10-23,56.17,9949.360352,1081.400024
+2009-10-22,100.849998,,,2009-10-26,55.32,10081.30957,1092.910034
+2009-10-23,99.620003,,,2009-10-27,54.88,9972.179688,1079.599976
+2009-10-26,98.449997,,,2009-10-28,53.56,9867.959961,1066.949951
+2009-10-27,98.120003,,,2009-10-29,55.14,9882.169922,1063.410034
+2009-10-28,96.220001,,,2009-10-30,53.3,9762.69043,1042.630005
+2009-10-29,98.389999,,,2009-11-02,53.82,9962.580078,1066.109985
+2009-10-30,95.629997,,,2009-11-03,53.61,9712.730469,1036.189941
+2009-11-02,96.25,,,2009-11-04,54.15,9789.44043,1042.880005
+2009-11-03,96.480003,,,2009-11-05,54.85,9771.910156,1045.410034
+2009-11-04,96.620003,,,2009-11-06,55.01,9802.139648,1046.5
+2009-11-05,98.480003,,,2009-11-09,56.55,10005.959961,1066.630005
+2009-11-06,98.739998,,,2009-11-10,56.25,10023.419922,1069.300049
+2009-11-09,100.959999,,,2009-11-11,56.42,10226.94043,1093.079956
+2009-11-10,100.980003,,,2009-11-12,55.6,10246.969727,1093.01001
+2009-11-11,101.489998,,,2009-11-13,56.38,10291.259766,1098.51001
+2009-11-12,100.459999,,,2009-11-16,57.28,10197.469727,1087.23999
+2009-11-13,101.040001,,,2009-11-17,56.9,10270.469727,1093.47998
+2009-11-16,102.519997,,,2009-11-18,56.72,10406.959961,1109.300049
+2009-11-17,102.620003,,,2009-11-19,55.65,10437.419922,1110.319946
+2009-11-18,102.589996,,,2009-11-20,55.34,10426.30957,1109.800049
+2009-11-19,101.209999,,,2009-11-23,56.33,10332.44043,1094.900024
+2009-11-20,100.910004,,,2009-11-24,56.1,10318.160156,1091.380005
+2009-11-23,102.279999,,,2009-11-25,56.85,10450.950195,1106.23999
+2009-11-24,102.239998,,,2009-11-27,55.21,10433.709961,1105.650024
+2009-11-25,102.709999,,,2009-11-30,55.39,10464.400391,1110.630005
+2009-11-27,100.959999,,,2009-12-01,56.91,10309.919922,1091.48999
+2009-11-30,101.349998,,,2009-12-02,57.0,10344.839844,1095.630005
+2009-12-01,102.58000200000001,,,2009-12-03,56.87,10471.580078,1108.859985
+2009-12-02,102.629997,,,2009-12-04,56.67,10452.679688,1109.23999
+2009-12-03,101.769997,,,2009-12-07,56.36,10366.150391,1099.920044
+2009-12-04,102.33000200000001,,,2009-12-08,55.38,10388.900391,1105.97998
+2009-12-07,102.08000200000001,,,2009-12-09,55.31,10390.110352,1103.25
+2009-12-08,101.050003,,,2009-12-10,55.48,10285.969727,1091.939941
+2009-12-09,101.43,,,2009-12-11,55.46,10337.049805,1095.949951
+2009-12-10,102.029999,,,2009-12-14,56.0,10405.830078,1102.349976
+2009-12-11,102.41999799999999,,,2009-12-15,55.38,10471.5,1106.410034
+2009-12-14,103.139999,,,2009-12-16,56.03,10501.049805,1114.109985
+2009-12-15,102.57,,,2009-12-17,54.71,10452.0,1107.930054
+2009-12-16,102.690002,,,2009-12-18,54.84,10441.120117,1109.180054
+2009-12-17,101.480003,,,2009-12-21,55.0,10308.259766,1096.079956
+2009-12-18,102.07,,,2009-12-22,54.85,10328.889648,1102.469971
+2009-12-21,103.150002,,,2009-12-23,55.35,10414.139648,1114.050049
+2009-12-22,103.519997,,,2009-12-24,55.57,10464.929688,1118.02002
+2009-12-23,103.790001,,,2009-12-28,55.81,10466.44043,1120.589966
+2009-12-24,104.339996,,,2009-12-29,55.9,10520.089844,1126.47998
+2009-12-28,103.809998,,,2009-12-30,55.67,10547.080078,1127.780029
+2009-12-29,103.68,,,2009-12-31,55.28,10545.410156,1126.199951
+2009-12-30,103.709999,,,2010-01-04,56.73,10548.509766,1126.420044
+2009-12-31,102.66999799999999,,,2010-01-05,56.78,10428.049805,1115.099976
+2010-01-04,104.32,,,2010-01-06,57.02,10583.959961,1132.98999
+2010-01-05,104.639999,,,2010-01-07,56.8,10572.019531,1136.52002
+2010-01-06,104.75,,,2010-01-08,57.25,10573.679688,1137.140015
+2010-01-07,105.16999799999999,,,2010-01-11,57.72,10606.860352,1141.689941
+2010-01-08,105.480003,,,2010-01-12,57.04,10618.19043,1144.97998
+2010-01-11,105.660004,,,2010-01-13,57.52,10663.990234,1146.97998
+2010-01-12,104.66999799999999,,,2010-01-14,57.96,10627.259766,1136.219971
+2010-01-13,105.550003,,,2010-01-15,57.05,10680.769531,1145.680054
+2010-01-14,105.809998,,,2010-01-19,57.61,10710.549805,1148.459961
+2010-01-15,104.66999799999999,,,2010-01-20,56.14,10609.650391,1136.030029
+2010-01-19,105.970001,,,2010-01-21,54.94,10725.429688,1150.22998
+2010-01-20,104.860001,,,2010-01-22,53.87,10603.150391,1138.040039
+2010-01-21,102.879997,,,2010-01-25,54.53,10389.879883,1116.47998
+2010-01-22,100.599998,,,2010-01-26,54.22,10172.980469,1091.76001
+2010-01-25,101.059998,,,2010-01-27,54.16,10196.860352,1096.780029
+2010-01-26,100.639999,,,2010-01-28,53.25,10194.290039,1092.170044
+2010-01-27,101.139999,,,2010-01-29,52.48,10236.160156,1097.5
+2010-01-28,99.949997,,,2010-02-01,53.44,10120.459961,1084.530029
+2010-01-29,98.970001,,,2010-02-02,54.33,10067.330078,1073.869995
+2010-02-01,100.379997,,,2010-02-03,53.76,10185.530273,1089.189941
+2010-02-02,101.68,,,2010-02-04,51.57,10296.849609,1103.319946
+2010-02-03,101.160004,,,2010-02-05,51.48,10270.549805,1097.280029
+2010-02-04,98.010002,,,2010-02-08,50.46,10002.179688,1063.109985
+2010-02-05,98.290001,,,2010-02-09,52.05,10012.230469,1066.189941
+2010-02-08,97.449997,,,2010-02-10,51.72,9908.389648,1056.73999
+2010-02-09,98.730003,,,2010-02-11,52.2,10058.639648,1070.52002
+2010-02-10,98.529999,,,2010-02-12,51.75,10038.379883,1068.130005
+2010-02-11,99.5,,,2010-02-16,52.9,10144.19043,1078.469971
+2010-02-12,99.25,,,2010-02-17,52.97,10099.139648,1075.51001
+2010-02-16,101.050003,,,2010-02-18,53.27,10268.80957,1094.869995
+2010-02-17,101.5,,,2010-02-19,52.94,10309.240234,1099.51001
+2010-02-18,102.16999799999999,,,2010-02-22,53.04,10392.900391,1106.75
+2010-02-19,102.410004,,,2010-02-23,52.29,10402.349609,1109.170044
+2010-02-22,102.300003,,,2010-02-24,52.62,10383.379883,1108.01001
+2010-02-23,101.07,,,2010-02-25,52.3,10282.410156,1094.599976
+2010-02-24,102.07,,,2010-02-26,52.62,10374.160156,1105.23999
+2010-02-25,101.879997,,,2010-03-01,53.03,10321.030273,1102.939941
+2010-02-26,102.029999,,,2010-03-02,53.43,10325.259766,1104.48999
+2010-03-01,103.059998,,,2010-03-03,54.07,10403.790039,1115.709961
+2010-03-02,103.300003,,,2010-03-04,53.93,10405.980469,1118.310059
+2010-03-03,103.360001,,,2010-03-05,54.98,10396.759766,1118.790039
+2010-03-04,103.75,,,2010-03-08,54.98,10444.139648,1122.969971
+2010-03-05,105.209999,,,2010-03-09,54.85,10566.200195,1138.699951
+2010-03-08,105.209999,,,2010-03-10,55.08,10552.519531,1138.5
+2010-03-09,105.389999,,,2010-03-11,55.29,10564.379883,1140.449951
+2010-03-10,105.879997,,,2010-03-12,55.66,10567.330078,1145.609985
+2010-03-11,106.33000200000001,,,2010-03-15,55.27,10611.839844,1150.23999
+2010-03-12,106.309998,,,2010-03-16,55.97,10624.69043,1149.98999
+2010-03-15,106.360001,,,2010-03-17,56.27,10642.150391,1150.51001
+2010-03-16,107.199997,,,2010-03-18,55.94,10685.980469,1159.459961
+2010-03-17,107.83000200000001,,,2010-03-19,55.37,10733.669922,1166.209961
+2010-03-18,107.790001,,,2010-03-22,55.53,10779.169922,1165.829956
+2010-03-19,107.239998,,,2010-03-23,55.92,10741.980469,1159.900024
+2010-03-22,107.790001,,,2010-03-24,55.0,10785.889648,1165.810059
+2010-03-23,108.58000200000001,,,2010-03-25,54.97,10888.830078,1174.170044
+2010-03-24,107.980003,,,2010-03-26,55.51,10836.150391,1167.719971
+2010-03-25,107.800003,,,2010-03-29,55.98,10841.209961,1165.72998
+2010-03-26,107.879997,,,2010-03-30,55.98,10850.360352,1166.589966
+2010-03-29,108.07,,,2010-03-31,55.98,10895.860352,1173.219971
+2010-03-30,108.089996,,,2010-04-01,56.97,10907.419922,1173.27002
+2010-03-31,107.730003,,,2010-04-05,57.03,10856.629883,1169.430054
+2010-04-01,108.540001,,,2010-04-06,56.87,10927.070313,1178.099976
+2010-04-05,109.400002,,,2010-04-07,56.47,10973.549805,1187.439941
+2010-04-06,109.589996,,,2010-04-08,56.41,10969.990234,1189.439941
+2010-04-07,108.989998,,,2010-04-09,57.15,10897.519531,1182.449951
+2010-04-08,109.360001,,,2010-04-12,57.33,10927.070313,1186.439941
+2010-04-09,110.089996,,,2010-04-13,57.28,10997.349609,1194.369995
+2010-04-12,110.290001,,,2010-04-14,58.04,11005.969727,1196.47998
+2010-04-13,110.370003,,,2010-04-15,58.0,11019.419922,1197.300049
+2010-04-14,111.599998,,,2010-04-16,56.72,11123.110352,1210.650024
+2010-04-15,111.699997,,,2010-04-19,56.57,11144.570313,1211.670044
+2010-04-16,109.900002,,,2010-04-20,56.92,11018.660156,1192.130005
+2010-04-19,110.389999,,,2010-04-21,56.55,11092.049805,1197.52002
+2010-04-20,111.279999,,,2010-04-22,56.04,11117.05957,1207.170044
+2010-04-21,111.16999799999999,,,2010-04-23,56.46,11124.919922,1205.939941
+2010-04-22,111.43,,,2010-04-26,56.52,11134.290039,1208.670044
+2010-04-23,112.220001,,,2010-04-27,54.25,11204.280273,1217.280029
+2010-04-26,111.739998,,,2010-04-28,54.26,11205.030273,1212.050049
+2010-04-27,109.120003,,,2010-04-29,55.1,10991.990234,1183.709961
+2010-04-28,109.849998,,,2010-04-30,54.41,11045.269531,1191.359985
+2010-04-29,111.279999,,,2010-05-03,54.8,11167.320313,1206.780029
+2010-04-30,109.43,,,2010-05-04,52.63,11008.610352,1186.689941
+2010-05-03,110.860001,,,2010-05-05,51.62,11151.830078,1202.26001
+2010-05-04,108.220001,,,2010-05-06,49.32,10926.769531,1173.599976
+2010-05-05,107.540001,,,2010-05-07,49.21,10866.830078,1165.869995
+2010-05-06,104.08000200000001,,,2010-05-10,52.4,10520.320313,1128.150024
+2010-05-07,102.480003,,,2010-05-11,51.55,10380.429688,1110.880005
+2010-05-10,106.989998,,,2010-05-12,52.13,10785.139648,1159.72998
+2010-05-11,106.650002,,,2010-05-13,51.45,10748.259766,1155.790039
+2010-05-12,108.150002,,,2010-05-14,49.99,10896.910156,1171.670044
+2010-05-13,106.849998,,,2010-05-17,50.06,10782.950195,1157.439941
+2010-05-14,104.839996,,,2010-05-18,48.98,10620.160156,1135.680054
+2010-05-17,104.970001,,,2010-05-19,49.17,10625.830078,1136.939941
+2010-05-18,103.5,,,2010-05-20,47.46,10510.950195,1120.800049
+2010-05-19,102.980003,,,2010-05-21,48.62,10444.370117,1115.050049
+2010-05-20,98.970001,,,2010-05-24,47.51,10068.009766,1071.589966
+2010-05-21,100.459999,,,2010-05-25,47.32,10193.389648,1087.689941
+2010-05-24,99.160004,,,2010-05-26,46.62,10066.570313,1073.650024
+2010-05-25,99.199997,,,2010-05-27,49.27,10043.75,1074.030029
+2010-05-26,98.650002,,,2010-05-28,48.32,9974.450195,1067.949951
+2010-05-27,101.93,,,2010-06-01,47.84,10258.990234,1103.060059
+2010-05-28,100.68,,,2010-06-02,49.12,10136.629883,1089.410034
+2010-06-01,98.949997,,,2010-06-03,48.97,10024.019531,1070.709961
+2010-06-02,101.519997,,,2010-06-04,46.88,10249.540039,1098.380005
+2010-06-03,101.940002,,,2010-06-07,46.29,10255.280273,1102.829956
+2010-06-04,98.43,,,2010-06-08,47.03,9931.969727,1064.880005
+2010-06-07,97.110001,,,2010-06-09,46.86,9816.490234,1050.469971
+2010-06-08,98.190002,,,2010-06-10,48.84,9939.980469,1062.0
+2010-06-09,97.610001,,,2010-06-11,48.91,9899.25,1055.689941
+2010-06-10,100.489998,,,2010-06-14,49.22,10172.530273,1086.839966
+2010-06-11,100.959999,,,2010-06-15,50.78,10211.070313,1091.599976
+2010-06-14,100.779999,,,2010-06-16,50.54,10190.889648,1089.630005
+2010-06-15,103.150002,,,2010-06-17,50.7,10404.769531,1115.22998
+2010-06-16,103.099998,,,2010-06-18,50.61,10409.459961,1114.609985
+2010-06-17,103.239998,,,2010-06-21,50.6,10434.169922,1116.040039
+2010-06-18,103.379997,,,2010-06-22,49.96,10450.639648,1117.51001
+2010-06-21,102.980003,,,2010-06-23,49.43,10442.410156,1113.199951
+2010-06-22,101.339996,,,2010-06-24,48.57,10293.519531,1095.310059
+2010-06-23,101.040001,,,2010-06-25,48.85,10298.44043,1092.040039
+2010-06-24,99.339996,,,2010-06-28,48.49,10152.799805,1073.689941
+2010-06-25,99.620003,,,2010-06-29,46.83,10143.80957,1076.76001
+2010-06-28,98.93,,,2010-06-30,46.51,10138.519531,1074.569946
+2010-06-29,95.870003,,,2010-07-01,47.19,9870.299805,1041.23999
+2010-06-30,94.910004,,,2010-07-02,47.09,9774.019531,1030.709961
+2010-07-01,94.610001,,,2010-07-06,48.03,9732.530273,1027.369995
+2010-07-02,94.16999799999999,,,2010-07-07,49.52,9686.480469,1022.580017
+2010-07-06,94.66999799999999,,,2010-07-08,50.01,9743.620117,1028.060059
+2010-07-07,97.690002,,,2010-07-09,50.06,10018.280273,1060.27002
+2010-07-08,98.610001,,,2010-07-12,49.87,10138.990234,1070.25
+2010-07-09,99.32,,,2010-07-13,50.79,10198.030273,1077.959961
+2010-07-12,99.389999,,,2010-07-14,50.97,10216.269531,1078.75
+2010-07-13,100.93,,,2010-07-15,51.22,10363.019531,1095.339966
+2010-07-14,100.910004,,,2010-07-16,49.58,10366.719727,1095.170044
+2010-07-15,101.029999,,,2010-07-19,49.9,10359.30957,1096.47998
+2010-07-16,98.129997,,,2010-07-20,50.24,10097.900391,1064.880005
+2010-07-19,98.709999,,,2010-07-21,49.33,10154.429688,1071.25
+2010-07-20,99.839996,,,2010-07-22,50.99,10229.959961,1083.47998
+2010-07-21,98.57,,,2010-07-23,51.59,10120.530273,1069.589966
+2010-07-22,100.800003,,,2010-07-26,51.95,10322.299805,1093.670044
+2010-07-23,101.629997,,,2010-07-27,52.1,10424.620117,1102.660034
+2010-07-26,102.760002,,,2010-07-28,51.83,10525.429688,1115.01001
+2010-07-27,102.660004,,,2010-07-29,52.07,10537.69043,1113.839966
+2010-07-28,101.949997,,,2010-07-30,51.91,10497.879883,1106.130005
+2010-07-29,101.540001,,,2010-08-02,53.66,10467.160156,1101.530029
+2010-07-30,101.550003,,,2010-08-03,53.58,10465.94043,1101.599976
+2010-08-02,103.790001,,,2010-08-04,53.63,10674.379883,1125.859985
+2010-08-03,103.290001,,,2010-08-05,53.59,10636.379883,1120.459961
+2010-08-04,103.949997,,,2010-08-06,53.75,10680.429688,1127.23999
+2010-08-05,103.82,,,2010-08-09,53.81,10674.980469,1125.810059
+2010-08-06,103.449997,,,2010-08-10,53.38,10653.55957,1121.640015
+2010-08-09,104.010002,,,2010-08-11,50.95,10698.75,1127.790039
+2010-08-10,103.400002,,,2010-08-12,50.89,10644.25,1121.060059
+2010-08-11,100.529999,,,2010-08-13,50.71,10378.830078,1089.469971
+2010-08-12,100.0,,,2010-08-16,51.12,10319.950195,1083.609985
+2010-08-13,99.599998,,,2010-08-17,51.69,10303.150391,1079.25
+2010-08-16,99.620003,,,2010-08-18,51.67,10302.009766,1079.380005
+2010-08-17,100.860001,,,2010-08-19,50.84,10405.849609,1092.540039
+2010-08-18,101.029999,,,2010-08-20,50.31,10415.540039,1094.160034
+2010-08-19,99.32,,,2010-08-23,50.21,10271.209961,1075.630005
+2010-08-20,98.949997,,,2010-08-24,49.52,10213.620117,1071.689941
+2010-08-23,98.550003,,,2010-08-25,49.57,10174.410156,1067.359985
+2010-08-24,97.129997,,,2010-08-26,49.55,10040.450195,1051.869995
+2010-08-25,97.459999,,,2010-08-27,50.52,10060.05957,1055.329956
+2010-08-26,96.709999,,,2010-08-30,49.79,9985.80957,1047.219971
+2010-08-27,98.339996,,,2010-08-31,49.94,10150.650391,1064.589966
+2010-08-30,96.910004,,,2010-09-01,51.72,10009.730469,1048.920044
+2010-08-31,96.949997,,,2010-09-02,52.01,10014.719727,1049.329956
+2010-09-01,99.82,,,2010-09-03,52.49,10269.469727,1080.290039
+2010-09-02,100.739998,,,2010-09-07,51.76,10320.099609,1090.099976
+2010-09-03,102.07,,,2010-09-08,52.16,10447.929688,1104.51001
+2010-09-07,100.910004,,,2010-09-09,52.65,10340.69043,1091.839966
+2010-09-08,101.58000200000001,,,2010-09-10,52.81,10387.009766,1098.869995
+2010-09-09,102.07,,,2010-09-13,53.77,10415.240234,1104.180054
+2010-09-10,102.57,,,2010-09-14,54.13,10462.769531,1109.550049
+2010-09-13,103.739998,,,2010-09-15,54.15,10544.129883,1121.900024
+2010-09-14,103.66999799999999,,,2010-09-16,53.89,10526.490234,1121.099976
+2010-09-15,104.040001,,,2010-09-17,53.63,10572.730469,1125.069946
+2010-09-16,104.019997,,,2010-09-20,54.56,10594.830078,1124.660034
+2010-09-17,104.099998,,,2010-09-21,54.55,10607.849609,1125.589966
+2010-09-20,105.690002,,,2010-09-22,54.47,10753.620117,1142.709961
+2010-09-21,105.41999799999999,,,2010-09-23,53.88,10761.030273,1139.780029
+2010-09-22,104.91999799999999,,,2010-09-24,55.38,10739.30957,1134.280029
+2010-09-23,103.519997,,,2010-09-27,55.1,10662.419922,1124.829956
+2010-09-24,105.709999,,,2010-09-28,55.42,10860.259766,1148.670044
+2010-09-27,105.120003,,,2010-09-29,55.33,10812.040039,1142.160034
+2010-09-28,105.639999,,,2010-09-30,54.92,10858.139648,1147.699951
+2010-09-29,105.379997,,,2010-10-01,55.47,10835.280273,1144.72998
+2010-09-30,105.059998,,,2010-10-04,54.67,10788.049805,1141.199951
+2010-10-01,105.519997,,,2010-10-05,56.22,10829.679688,1146.23999
+2010-10-04,104.68,,,2010-10-06,56.69,10751.269531,1137.030029
+2010-10-05,106.860001,,,2010-10-07,56.5,10944.719727,1160.75
+2010-10-06,106.849998,,,2010-10-08,56.87,10967.650391,1159.969971
+2010-10-07,106.66999799999999,,,2010-10-11,56.8,10948.580078,1158.060059
+2010-10-08,107.32,,,2010-10-12,56.68,11006.480469,1165.150024
+2010-10-11,107.339996,,,2010-10-13,57.32,11010.339844,1165.319946
+2010-10-12,107.75,,,2010-10-14,57.72,11020.400391,1169.77002
+2010-10-13,108.519997,,,2010-10-15,57.53,11096.080078,1178.099976
+2010-10-14,108.129997,,,2010-10-18,57.66,11094.570313,1173.810059
+2010-10-15,108.349998,,,2010-10-19,56.39,11062.780273,1176.189941
+2010-10-18,109.129997,,,2010-10-20,57.45,11143.69043,1184.709961
+2010-10-19,107.400002,,,2010-10-21,57.14,10978.620117,1165.900024
+2010-10-20,108.550003,,,2010-10-22,57.29,11107.969727,1178.170044
+2010-10-21,108.75,,,2010-10-25,57.51,11146.570313,1180.26001
+2010-10-22,109.0,,,2010-10-26,57.14,11132.55957,1183.079956
+2010-10-25,109.239998,,,2010-10-27,56.59,11164.049805,1185.619995
+2010-10-26,109.239998,,,2010-10-28,57.03,11169.459961,1185.640015
+2010-10-27,108.959999,,,2010-10-29,57.01,11126.280273,1182.449951
+2010-10-28,109.089996,,,2010-11-01,56.8,11113.950195,1183.780029
+2010-10-29,109.040001,,,2010-11-02,57.74,11118.490234,1183.26001
+2010-11-01,109.139999,,,2010-11-03,58.14,11124.620117,1184.380005
+2010-11-02,109.989998,,,2010-11-04,59.46,11188.719727,1193.569946
+2010-11-03,110.41999799999999,,,2010-11-05,59.2,11215.129883,1197.959961
+2010-11-04,112.559998,,,2010-11-08,58.84,11434.839844,1221.060059
+2010-11-05,113.010002,,,2010-11-09,58.25,11444.080078,1225.849976
+2010-11-08,112.779999,,,2010-11-10,58.42,11406.839844,1223.25
+2010-11-09,111.910004,,,2010-11-11,57.92,11346.75,1213.400024
+2010-11-10,112.41999799999999,,,2010-11-12,57.44,11357.040039,1218.709961
+2010-11-11,111.949997,,,2010-11-15,57.4,11283.099609,1213.540039
+2010-11-12,110.629997,,,2010-11-16,56.05,11192.580078,1199.209961
+2010-11-15,110.5,,,2010-11-17,56.36,11201.969727,1197.75
+2010-11-16,108.739998,,,2010-11-18,57.77,11023.5,1178.339966
+2010-11-17,108.779999,,,2010-11-19,57.77,11007.879883,1178.589966
+2010-11-18,110.449997,,,2010-11-22,57.15,11181.230469,1196.689941
+2010-11-19,110.739998,,,2010-11-23,55.43,11203.549805,1199.72998
+2010-11-22,110.57,,,2010-11-24,56.31,11178.580078,1197.839966
+2010-11-23,108.989998,,,2010-11-26,55.37,11036.370117,1180.72998
+2010-11-24,110.620003,,,2010-11-29,54.88,11187.280273,1198.349976
+2010-11-26,109.82,,,2010-11-30,54.26,11091.870117,1189.400024
+2010-11-29,109.699997,,,2010-12-01,55.8,11052.490234,1187.76001
+2010-11-30,109.040001,,,2010-12-02,56.86,11006.019531,1180.550049
+2010-12-01,111.410004,,,2010-12-03,57.41,11255.780273,1206.069946
+2010-12-02,112.839996,,,2010-12-06,57.15,11362.410156,1221.530029
+2010-12-03,113.139999,,,2010-12-07,57.18,11382.089844,1224.709961
+2010-12-06,113.0,,,2010-12-08,57.35,11362.19043,1223.119995
+2010-12-07,113.059998,,,2010-12-09,57.5,11359.160156,1223.75
+2010-12-08,113.510002,,,2010-12-10,57.63,11372.480469,1228.280029
+2010-12-09,113.949997,,,2010-12-13,58.25,11370.05957,1233.0
+2010-12-10,114.639999,,,2010-12-14,58.34,11410.320313,1240.400024
+2010-12-13,114.660004,,,2010-12-15,57.57,11428.55957,1240.459961
+2010-12-14,114.760002,,,2010-12-16,57.89,11476.540039,1241.589966
+2010-12-15,114.18,,,2010-12-17,57.57,11457.469727,1235.22998
+2010-12-16,114.889999,,,2010-12-20,57.7,11499.25,1242.869995
+2010-12-17,114.980003,,,2010-12-21,57.64,11491.910156,1243.910034
+2010-12-20,115.279999,,,2010-12-22,57.75,11478.129883,1247.079956
+2010-12-21,115.989998,,,2010-12-23,57.72,11533.160156,1254.599976
+2010-12-22,116.400002,,,2010-12-27,57.6,11559.490234,1258.839966
+2010-12-23,115.720001,,,2010-12-28,57.65,11573.490234,1256.77002
+2010-12-27,115.790001,,,2010-12-29,58.15,11555.030273,1257.540039
+2010-12-28,115.879997,,,2010-12-30,57.87,11575.540039,1258.51001
+2010-12-29,116.019997,,,2010-12-31,58.22,11585.379883,1259.780029
+2010-12-30,115.839996,,,2011-01-03,58.7,11569.709961,1257.880005
+2010-12-31,115.82,,,2011-01-04,58.52,11577.509766,1257.640015
+2011-01-03,117.129997,,,2011-01-05,58.27,11670.75,1271.869995
+2011-01-04,116.980003,,,2011-01-06,57.6,11691.179688,1270.199951
+2011-01-05,117.58000200000001,,,2011-01-07,57.37,11722.889648,1276.560059
+2011-01-06,117.379997,,,2011-01-10,57.27,11697.30957,1273.849976
+2011-01-07,117.160004,,,2011-01-11,57.66,11674.759766,1271.5
+2011-01-10,117.0,,,2011-01-12,58.93,11637.450195,1269.75
+2011-01-11,117.43,,,2011-01-13,59.09,11671.879883,1274.47998
+2011-01-12,118.5,,,2011-01-14,59.45,11755.44043,1285.959961
+2011-01-13,118.300003,,,2011-01-18,59.84,11731.900391,1283.76001
+2011-01-14,119.18,,,2011-01-19,59.43,11787.379883,1293.23999
+2011-01-18,119.349998,,,2011-01-20,58.92,11837.929688,1295.02002
+2011-01-19,118.150002,,,2011-01-21,59.24,11825.290039,1281.920044
+2011-01-20,118.0,,,2011-01-24,59.87,11822.799805,1280.26001
+2011-01-21,118.290001,,,2011-01-25,59.75,11871.839844,1283.349976
+2011-01-24,118.980003,,,2011-01-26,60.13,11980.519531,1290.839966
+2011-01-25,119.010002,,,2011-01-27,60.27,11977.19043,1291.180054
+2011-01-26,119.519997,,,2011-01-28,58.93,11985.44043,1296.630005
+2011-01-27,119.790001,,,2011-01-31,59.44,11989.830078,1299.540039
+2011-01-28,117.650002,,,2011-02-01,60.85,11823.700195,1276.339966
+2011-01-31,118.550003,,,2011-02-02,60.78,11891.929688,1286.119995
+2011-02-01,120.529999,,,2011-02-03,60.81,12040.160156,1307.589966
+2011-02-02,120.220001,,,2011-02-04,60.79,12041.969727,1304.030029
+2011-02-03,120.519997,,,2011-02-07,60.98,12062.259766,1307.099976
+2011-02-04,120.870003,,,2011-02-08,61.38,12092.150391,1310.869995
+2011-02-07,121.629997,,,2011-02-09,61.2,12161.629883,1319.050049
+2011-02-08,122.16999799999999,,,2011-02-10,60.8,12233.150391,1324.569946
+2011-02-09,121.849998,,,2011-02-11,60.83,12239.889648,1320.880005
+2011-02-10,121.949997,,,2011-02-14,60.95,12229.290039,1321.869995
+2011-02-11,122.639999,,,2011-02-15,60.82,12273.259766,1329.150024
+2011-02-14,122.949997,,,2011-02-16,61.5,12268.19043,1332.319946
+2011-02-15,122.57,,,2011-02-17,61.71,12226.639648,1328.01001
+2011-02-16,123.360001,,,2011-02-18,61.91,12288.169922,1336.319946
+2011-02-17,123.75,,,2011-02-22,60.13,12318.139648,1340.430054
+2011-02-18,123.989998,,,2011-02-23,60.22,12391.25,1343.01001
+2011-02-22,121.440002,,,2011-02-24,60.27,12212.790039,1315.439941
+2011-02-23,120.699997,,,2011-02-25,61.04,12105.780273,1307.400024
+2011-02-24,120.610001,,,2011-02-28,61.55,12068.5,1306.099976
+2011-02-25,121.91999799999999,,,2011-03-01,60.69,12130.450195,1319.880005
+2011-02-28,122.599998,,,2011-03-02,60.99,12226.339844,1327.219971
+2011-03-01,120.66999799999999,,,2011-03-03,61.79,12058.019531,1306.329956
+2011-03-02,120.879997,,,2011-03-04,61.23,12066.799805,1308.439941
+2011-03-03,122.970001,,,2011-03-07,60.62,12258.200195,1330.969971
+2011-03-04,122.059998,,,2011-03-08,60.85,12169.879883,1321.150024
+2011-03-07,121.050003,,,2011-03-09,60.85,12090.030273,1310.130005
+2011-03-08,122.150002,,,2011-03-10,59.35,12214.379883,1321.819946
+2011-03-09,122.0,,,2011-03-11,59.34,12213.089844,1320.02002
+2011-03-10,119.699997,,,2011-03-14,58.28,11984.610352,1295.109985
+2011-03-11,120.58000200000001,,,2011-03-15,57.06,12044.400391,1304.280029
+2011-03-14,119.849998,,,2011-03-16,55.31,11993.160156,1296.390015
+2011-03-15,118.510002,,,2011-03-17,57.13,11855.419922,1281.869995
+2011-03-16,116.209999,,,2011-03-18,57.9,11613.299805,1256.880005
+2011-03-17,117.760002,,,2011-03-21,59.37,11774.589844,1273.719971
+2011-03-18,118.269997,,,2011-03-22,59.18,11858.519531,1279.209961
+2011-03-21,120.040001,,,2011-03-23,59.25,12036.530273,1298.380005
+2011-03-22,119.629997,,,2011-03-24,60.04,12018.629883,1293.77002
+2011-03-23,119.980003,,,2011-03-25,59.38,12086.019531,1297.540039
+2011-03-24,120.589996,,,2011-03-28,59.35,12170.55957,1309.660034
+2011-03-25,120.980003,,,2011-03-29,59.66,12220.589844,1313.800049
+2011-03-28,120.639999,,,2011-03-30,60.37,12197.879883,1310.189941
+2011-03-29,121.519997,,,2011-03-31,60.09,12279.009766,1319.439941
+2011-03-30,122.339996,,,2011-04-01,60.65,12350.610352,1328.26001
+2011-03-31,122.120003,,,2011-04-04,60.73,12319.730469,1325.829956
+2011-04-01,122.730003,,,2011-04-05,60.57,12376.719727,1332.410034
+2011-04-04,122.779999,,,2011-04-06,61.08,12400.030273,1332.869995
+2011-04-05,122.760002,,,2011-04-07,60.78,12393.900391,1332.630005
+2011-04-06,123.08000200000001,,,2011-04-08,61.28,12426.75,1335.540039
+2011-04-07,122.900002,,,2011-04-11,61.16,12409.490234,1333.51001
+2011-04-08,122.400002,,,2011-04-12,60.59,12380.049805,1328.170044
+2011-04-11,122.059998,,,2011-04-13,60.74,12381.110352,1324.459961
+2011-04-12,121.120003,,,2011-04-14,61.04,12263.580078,1314.160034
+2011-04-13,121.150002,,,2011-04-15,60.95,12270.990234,1314.410034
+2011-04-14,121.160004,,,2011-04-18,59.7,12285.150391,1314.52002
+2011-04-15,121.639999,,,2011-04-19,60.14,12341.830078,1319.680054
+2011-04-18,120.300003,,,2011-04-20,61.71,12201.589844,1305.140015
+2011-04-19,120.989998,,,2011-04-21,62.07,12266.75,1312.619995
+2011-04-20,122.629997,,,2011-04-25,62.07,12453.540039,1330.359985
+2011-04-21,123.279999,,,2011-04-26,62.56,12505.990234,1337.380005
+2011-04-25,123.08000200000001,,,2011-04-27,63.32,12479.879883,1335.25
+2011-04-26,124.18,,,2011-04-28,63.76,12595.370117,1347.23999
+2011-04-27,124.980003,,,2011-04-29,63.46,12690.959961,1355.660034
+2011-04-28,125.43,,,2011-05-02,63.87,12763.30957,1360.47998
+2011-04-29,125.720001,,,2011-05-03,63.35,12810.540039,1363.609985
+2011-05-02,125.5,,,2011-05-04,62.82,12807.360352,1361.219971
+2011-05-03,125.08000200000001,,,2011-05-05,61.55,12807.509766,1356.619995
+2011-05-04,124.239998,,,2011-05-06,61.6,12723.580078,1347.319946
+2011-05-05,123.120003,,,2011-05-09,62.04,12584.169922,1335.099976
+2011-05-06,123.599998,,,2011-05-10,62.63,12638.740234,1340.199951
+2011-05-09,124.16999799999999,,,2011-05-11,61.37,12684.679688,1346.290039
+2011-05-10,125.16999799999999,,,2011-05-12,61.57,12760.360352,1357.160034
+2011-05-11,123.849998,,,2011-05-13,60.61,12630.030273,1342.079956
+2011-05-12,124.470001,,,2011-05-16,60.5,12695.919922,1348.650024
+2011-05-13,123.470001,,,2011-05-17,60.64,12595.75,1337.77002
+2011-05-16,122.709999,,,2011-05-18,60.99,12548.370117,1329.469971
+2011-05-17,122.690002,,,2011-05-19,61.36,12479.580078,1328.97998
+2011-05-18,123.800003,,,2011-05-20,60.43,12560.179688,1340.680054
+2011-05-19,124.08000200000001,,,2011-05-23,59.08,12605.320313,1343.599976
+2011-05-20,123.120003,,,2011-05-24,59.42,12512.040039,1333.27002
+2011-05-23,121.650002,,,2011-05-25,59.8,12381.259766,1317.369995
+2011-05-24,121.550003,,,2011-05-26,60.36,12356.209961,1316.280029
+2011-05-25,121.949997,,,2011-05-27,60.8,12394.660156,1320.469971
+2011-05-26,122.459999,,,2011-05-31,62.06,12402.759766,1325.689941
+2011-05-27,122.980003,,,2011-06-01,60.59,12441.580078,1331.099976
+2011-05-31,124.279999,,,2011-06-02,60.91,12569.790039,1345.199951
+2011-06-01,121.470001,,,2011-06-03,60.93,12290.139648,1314.550049
+2011-06-02,121.32,,,2011-06-06,60.14,12248.549805,1312.939941
+2011-06-03,120.150002,,,2011-06-07,60.68,12151.259766,1300.160034
+2011-06-06,118.860001,,,2011-06-08,59.93,12089.959961,1286.170044
+2011-06-07,118.75,,,2011-06-09,60.55,12070.80957,1284.939941
+2011-06-08,118.269997,,,2011-06-10,59.11,12048.94043,1279.560059
+2011-06-09,119.150002,,,2011-06-13,59.22,12124.360352,1289.0
+2011-06-10,117.480003,,,2011-06-14,60.26,11951.910156,1270.97998
+2011-06-13,117.599998,,,2011-06-15,58.27,11952.969727,1271.829956
+2011-06-14,119.089996,,,2011-06-16,58.07,12076.110352,1287.869995
+2011-06-15,117.019997,,,2011-06-17,58.68,11897.269531,1265.420044
+2011-06-16,117.239998,,,2011-06-20,58.6,11961.519531,1267.640015
+2011-06-17,117.599998,,,2011-06-21,59.85,12004.360352,1271.5
+2011-06-20,118.230003,,,2011-06-22,58.14,12080.379883,1278.359985
+2011-06-21,119.83000200000001,,,2011-06-23,57.65,12190.009766,1295.52002
+2011-06-22,119.059998,,,2011-06-24,57.1,12109.669922,1287.140015
+2011-06-23,118.190002,,,2011-06-27,57.6,12050.0,1283.5
+2011-06-24,116.800003,,,2011-06-28,58.26,11934.580078,1268.449951
+2011-06-27,117.870003,,,2011-06-29,59.28,12043.55957,1280.099976
+2011-06-28,119.41999799999999,,,2011-06-30,60.14,12188.69043,1296.670044
+2011-06-29,120.43,,,2011-07-01,60.8,12261.419922,1307.410034
+2011-06-30,121.650002,,,2011-07-05,60.44,12414.339844,1320.640015
+2011-07-01,123.410004,,,2011-07-06,60.06,12582.769531,1339.670044
+2011-07-05,123.25,,,2011-07-07,60.59,12569.870117,1337.880005
+2011-07-06,123.41999799999999,,,2011-07-08,59.82,12626.019531,1339.219971
+2011-07-07,124.720001,,,2011-07-11,58.03,12719.490234,1353.219971
+2011-07-08,123.849998,,,2011-07-12,57.66,12657.200195,1343.800049
+2011-07-11,121.610001,,,2011-07-13,58.48,12505.759766,1319.48999
+2011-07-12,121.07,,,2011-07-14,57.99,12446.879883,1313.640015
+2011-07-13,121.459999,,,2011-07-15,58.18,12491.610352,1317.719971
+2011-07-14,120.639999,,,2011-07-18,57.32,12437.120117,1308.869995
+2011-07-15,121.309998,,,2011-07-19,58.2,12479.730469,1316.140015
+2011-07-18,120.33000200000001,,,2011-07-20,58.87,12385.160156,1305.439941
+2011-07-19,122.290001,,,2011-07-21,60.13,12587.419922,1326.72998
+2011-07-20,122.230003,,,2011-07-22,60.22,12571.910156,1325.839966
+2011-07-21,123.889999,,,2011-07-25,59.79,12724.410156,1343.800049
+2011-07-22,124.010002,,,2011-07-26,60.16,12681.160156,1345.02002
+2011-07-25,123.309998,,,2011-07-27,58.69,12592.799805,1337.430054
+2011-07-26,122.800003,,,2011-07-28,58.56,12501.299805,1331.939941
+2011-07-27,120.309998,,,2011-07-29,58.65,12302.549805,1304.890015
+2011-07-28,119.93,,,2011-08-01,57.97,12240.110352,1300.670044
+2011-07-29,119.160004,,,2011-08-02,56.44,12143.240234,1292.280029
+2011-08-01,118.660004,,,2011-08-03,56.79,12132.490234,1286.939941
+2011-08-02,115.629997,,,2011-08-04,52.79,11866.620117,1254.050049
+2011-08-03,116.25,,,2011-08-05,53.75,11896.44043,1260.339966
+2011-08-04,110.699997,,,2011-08-08,49.73,11383.679688,1200.069946
+2011-08-05,110.639999,,,2011-08-09,53.08,11444.610352,1199.380005
+2011-08-08,103.279999,,,2011-08-10,49.89,10809.849609,1119.459961
+2011-08-09,108.18,,,2011-08-11,52.3,11239.769531,1172.530029
+2011-08-10,103.449997,,,2011-08-12,52.91,10719.94043,1120.76001
+2011-08-11,108.25,,,2011-08-15,54.13,11143.30957,1172.640015
+2011-08-12,108.82,,,2011-08-16,53.34,11269.019531,1178.810059
+2011-08-15,111.199997,,,2011-08-17,53.65,11482.900391,1204.48999
+2011-08-16,110.139999,,,2011-08-18,51.03,11405.929688,1192.76001
+2011-08-17,110.269997,,,2011-08-19,50.17,11410.209961,1193.890015
+2011-08-18,105.360001,,,2011-08-22,50.47,10990.580078,1140.650024
+2011-08-19,103.779999,,,2011-08-23,52.16,10817.650391,1123.530029
+2011-08-22,103.809998,,,2011-08-24,52.15,10854.650391,1123.819946
+2011-08-23,107.360001,,,2011-08-25,50.87,11176.759766,1162.349976
+2011-08-24,108.790001,,,2011-08-26,51.69,11320.709961,1177.599976
+2011-08-25,107.099998,,,2011-08-29,52.93,11149.820313,1159.27002
+2011-08-26,108.730003,,,2011-08-30,52.63,11284.540039,1176.800049
+2011-08-29,111.82,,,2011-08-31,53.59,11539.25,1210.079956
+2011-08-30,112.099998,,,2011-09-01,52.91,11559.950195,1212.920044
+2011-08-31,112.66999799999999,,,2011-09-02,51.7,11613.530273,1218.890015
+2011-09-01,111.339996,,,2011-09-06,50.02,11493.570313,1204.420044
+2011-09-02,108.529999,,,2011-09-07,51.52,11240.259766,1173.969971
+2011-09-06,107.730003,,,2011-09-08,50.49,11139.299805,1165.23999
+2011-09-07,110.839996,,,2011-09-09,48.76,11414.860352,1198.619995
+2011-09-08,109.660004,,,2011-09-12,48.56,11295.80957,1185.900024
+2011-09-09,106.739998,,,2011-09-13,49.09,10992.129883,1154.22998
+2011-09-12,107.489998,,,2011-09-14,49.8,11061.120117,1162.27002
+2011-09-13,108.5,,,2011-09-15,50.89,11105.849609,1172.869995
+2011-09-14,109.959999,,,2011-09-16,50.85,11246.730469,1188.680054
+2011-09-15,111.879997,,,2011-09-19,49.48,11433.179688,1209.109985
+2011-09-16,112.519997,,,2011-09-20,49.7,11509.089844,1216.01001
+2011-09-19,111.410004,,,2011-09-21,48.25,11401.009766,1204.089966
+2011-09-20,111.230003,,,2011-09-22,46.66,11408.660156,1202.089966
+2011-09-21,107.959999,,,2011-09-23,47.19,11124.839844,1166.76001
+2011-09-22,103.970001,,,2011-09-26,48.16,10733.830078,1129.560059
+2011-09-23,104.610001,,,2011-09-27,49.35,10771.480469,1136.430054
+2011-09-26,107.050003,,,2011-09-28,48.54,11043.860352,1162.949951
+2011-09-27,108.199997,,,2011-09-29,49.46,11190.69043,1175.380005
+2011-09-28,105.989998,,,2011-09-30,47.75,11010.900391,1151.060059
+2011-09-29,106.849998,,,2011-10-03,46.52,11153.980469,1160.400024
+2011-09-30,104.18,,,2011-10-04,47.3,10913.379883,1131.420044
+2011-10-03,101.220001,,,2011-10-05,48.03,10655.299805,1099.22998
+2011-10-04,103.510002,,,2011-10-06,49.32,10808.709961,1123.949951
+2011-10-05,105.410004,,,2011-10-07,48.98,10939.950195,1144.030029
+2011-10-06,107.349998,,,2011-10-10,50.83,11123.330078,1164.969971
+2011-10-07,106.480003,,,2011-10-11,50.76,11103.120117,1155.459961
+2011-10-10,110.110001,,,2011-10-12,51.5,11433.179688,1194.890015
+2011-10-11,110.16999799999999,,,2011-10-13,51.52,11416.299805,1195.540039
+2011-10-12,111.269997,,,2011-10-14,52.12,11518.849609,1207.25
+2011-10-13,110.949997,,,2011-10-17,50.92,11478.129883,1203.660034
+2011-10-14,112.870003,,,2011-10-18,51.65,11644.490234,1224.579956
+2011-10-17,110.690002,,,2011-10-19,50.68,11397.0,1200.859985
+2011-10-18,112.949997,,,2011-10-20,50.85,11577.049805,1225.380005
+2011-10-19,111.540001,,,2011-10-21,52.1,11504.620117,1209.880005
+2011-10-20,112.050003,,,2011-10-24,52.86,11541.780273,1215.390015
+2011-10-21,114.160004,,,2011-10-25,51.95,11808.790039,1238.25
+2011-10-24,115.629997,,,2011-10-26,52.68,11913.620117,1254.189941
+2011-10-25,113.309998,,,2011-10-27,55.43,11706.620117,1229.050049
+2011-10-26,114.5,,,2011-10-28,55.2,11869.040039,1242.0
+2011-10-27,118.440002,,,2011-10-31,52.37,12208.549805,1284.589966
+2011-10-28,118.480003,,,2011-11-01,50.69,12231.110352,1285.089966
+2011-10-31,115.550003,,,2011-11-02,51.17,11955.009766,1253.300049
+2011-11-01,112.33000200000001,,,2011-11-03,52.46,11657.959961,1218.280029
+2011-11-02,114.150002,,,2011-11-04,51.8,11836.040039,1237.900024
+2011-11-03,116.309998,,,2011-11-07,52.02,12044.469727,1261.150024
+2011-11-04,115.58000200000001,,,2011-11-08,52.62,11983.240234,1253.22998
+2011-11-07,116.32,,,2011-11-09,49.95,12068.389648,1261.119995
+2011-11-08,117.75,,,2011-11-10,50.54,12170.179688,1275.920044
+2011-11-09,113.440002,,,2011-11-11,51.8,11780.94043,1229.099976
+2011-11-10,114.43,,,2011-11-14,50.88,11893.860352,1239.699951
+2011-11-11,116.660004,,,2011-11-15,50.74,12153.679688,1263.849976
+2011-11-14,115.559998,,,2011-11-16,49.77,12078.980469,1251.780029
+2011-11-15,116.139999,,,2011-11-17,49.23,12096.160156,1257.810059
+2011-11-16,114.239998,,,2011-11-18,49.4,11905.589844,1236.910034
+2011-11-17,112.33000200000001,,,2011-11-21,48.15,11770.730469,1216.130005
+2011-11-18,112.290001,,,2011-11-22,48.01,11796.160156,1215.650024
+2011-11-21,110.199997,,,2011-11-23,46.68,11547.30957,1192.97998
+2011-11-22,109.75,,,2011-11-25,46.45,11493.719727,1188.040039
+2011-11-23,107.33000200000001,,,2011-11-28,48.44,11257.549805,1161.790039
+2011-11-25,107.059998,,,2011-11-29,48.75,11231.650391,1158.670044
+2011-11-28,110.199997,,,2011-11-30,51.29,11523.009766,1192.550049
+2011-11-29,110.480003,,,2011-12-01,50.8,11555.629883,1195.189941
+2011-11-30,115.279999,,,2011-12-02,50.83,12045.679688,1246.959961
+2011-12-01,115.07,,,2011-12-05,51.37,12020.030273,1244.579956
+2011-12-02,115.040001,,,2011-12-06,51.13,12019.419922,1244.280029
+2011-12-05,116.230003,,,2011-12-07,51.49,12097.830078,1257.079956
+2011-12-06,116.360001,,,2011-12-08,49.81,12150.129883,1258.469971
+2011-12-07,116.629997,,,2011-12-09,51.04,12196.370117,1261.01001
+2011-12-08,114.16999799999999,,,2011-12-12,49.53,11997.700195,1234.349976
+2011-12-09,116.089996,,,2011-12-13,48.88,12184.259766,1255.189941
+2011-12-12,114.360001,,,2011-12-14,48.27,12021.389648,1236.469971
+2011-12-13,113.389999,,,2011-12-15,48.56,11954.94043,1225.72998
+2011-12-14,112.120003,,,2011-12-16,48.35,11823.480469,1211.819946
+2011-12-15,112.489998,,,2011-12-19,47.9,11868.80957,1215.75
+2011-12-16,112.860001,,,2011-12-20,49.01,11866.389648,1219.660034
+2011-12-19,111.529999,,,2011-12-21,48.73,11766.259766,1205.349976
+2011-12-20,114.879997,,,2011-12-22,49.18,12103.580078,1241.300049
+2011-12-21,115.099998,,,2011-12-23,49.5,12107.740234,1243.719971
+2011-12-22,115.43,,,2011-12-27,49.31,12169.650391,1254.0
+2011-12-23,116.470001,,,2011-12-28,48.43,12294.0,1265.329956
+2011-12-27,116.480003,,,2011-12-29,49.31,12291.349609,1265.430054
+2011-12-28,115.059998,,,2011-12-30,49.53,12151.410156,1249.640015
+2011-12-29,116.290001,,,2012-01-03,50.89,12287.040039,1263.02002
+2011-12-30,115.800003,,,2012-01-04,50.58,12217.55957,1257.599976
+2012-01-03,117.589996,,,2012-01-05,49.84,12397.379883,1277.060059
+2012-01-04,117.639999,,,2012-01-06,49.15,12418.419922,1277.300049
+2012-01-05,117.980003,,,2012-01-09,49.36,12415.700195,1281.060059
+2012-01-06,117.730003,,,2012-01-10,50.09,12359.919922,1277.810059
+2012-01-09,117.989998,,,2012-01-11,49.95,12392.69043,1280.699951
+2012-01-10,119.040001,,,2012-01-12,50.14,12462.469727,1292.079956
+2012-01-11,119.089996,,,2012-01-13,49.61,12449.450195,1292.47998
+2012-01-12,119.370003,,,2012-01-17,50.16,12471.019531,1295.5
+2012-01-13,118.779999,,,2012-01-18,51.03,12422.05957,1289.089966
+2012-01-17,119.199997,,,2012-01-19,51.66,12482.070313,1293.670044
+2012-01-18,120.540001,,,2012-01-20,51.93,12578.950195,1308.040039
+2012-01-19,121.139999,,,2012-01-23,52.13,12623.980469,1314.5
+2012-01-20,121.230003,,,2012-01-24,51.84,12720.480469,1315.380005
+2012-01-23,121.279999,,,2012-01-25,52.38,12708.820313,1316.0
+2012-01-24,121.160004,,,2012-01-26,52.4,12675.75,1314.650024
+2012-01-25,122.209999,,,2012-01-27,52.49,12758.849609,1326.060059
+2012-01-26,121.519997,,,2012-01-30,51.87,12734.629883,1318.430054
+2012-01-27,121.33000200000001,,,2012-01-31,52.14,12660.459961,1316.329956
+2012-01-30,121.019997,,,2012-02-01,52.97,12653.719727,1313.01001
+2012-01-31,120.970001,,,2012-02-03,53.91,12632.910156,1312.410034
+2012-02-01,122.07,,,2012-02-06,53.64,12716.459961,1324.089966
+2012-02-02,122.209999,,,2012-02-07,53.97,12705.410156,1325.540039
+2012-02-03,124.010002,,,2012-02-08,54.16,12862.230469,1344.900024
+2012-02-06,123.959999,,,2012-02-09,54.3,12845.129883,1344.329956
+2012-02-07,124.209999,,,2012-02-10,53.28,12878.200195,1347.050049
+2012-02-08,124.519997,,,2012-02-13,53.9,12883.950195,1349.959961
+2012-02-09,124.709999,,,2012-02-14,53.48,12890.459961,1351.949951
+2012-02-10,123.849998,,,2012-02-15,53.54,12801.230469,1342.640015
+2012-02-13,124.720001,,,2012-02-16,54.28,12874.040039,1351.77002
+2012-02-14,124.620003,,,2012-02-17,54.52,12878.280273,1350.5
+2012-02-15,124.0,,,2012-02-21,54.53,12780.950195,1343.22998
+2012-02-16,125.379997,,,2012-02-22,54.34,12904.080078,1358.040039
+2012-02-17,125.68,,,2012-02-23,54.82,12949.870117,1361.22998
+2012-02-21,125.769997,,,2012-02-24,55.15,12965.69043,1362.209961
+2012-02-22,125.349998,,,2012-02-27,54.87,12938.669922,1357.660034
+2012-02-23,125.910004,,,2012-02-28,55.38,12984.69043,1363.459961
+2012-02-24,126.139999,,,2012-02-29,54.7,12982.950195,1365.73999
+2012-02-27,126.32,,,2012-03-01,55.28,12981.509766,1367.589966
+2012-02-28,126.760002,,,2012-03-02,54.76,13005.120117,1372.180054
+2012-02-29,126.18,,,2012-03-05,54.48,12952.070313,1365.680054
+2012-03-01,126.970001,,,2012-03-06,52.74,12980.299805,1374.089966
+2012-03-02,126.559998,,,2012-03-07,53.39,12977.570313,1369.630005
+2012-03-05,126.08000200000001,,,2012-03-08,54.53,12962.80957,1364.329956
+2012-03-06,124.139999,,,2012-03-09,54.37,12759.150391,1343.359985
+2012-03-07,125.040001,,,2012-03-12,54.21,12837.330078,1352.630005
+2012-03-08,126.279999,,,2012-03-13,55.08,12907.94043,1365.910034
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+2013-12-03,166.070007,,,2013-12-06,65.37,15914.620116999999,1795.1500239999998
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+2013-12-06,167.050003,,,2013-12-11,64.58,16020.200195,1805.089966
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+2013-12-17,164.889999,,,2013-12-20,65.07,15875.259766,1781.0
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+2013-12-20,168.380005,,,2013-12-26,66.23,16221.139647999998,1818.319946
+2013-12-23,168.419998,,,2013-12-27,66.57,16294.610352000002,1827.9899899999998
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+2013-12-26,169.729996,,,2013-12-31,67.1,16479.880859,1842.02002
+2013-12-27,169.699997,,,2014-01-02,65.91,16478.410156,1841.4000239999998
+2013-12-30,169.679993,,,2014-01-03,65.98,16504.289063,1841.069946
+2013-12-31,170.360001,,,2014-01-06,65.9,16576.660156,1848.359985
+2014-01-02,168.880005,,,2014-01-07,66.27,16441.349609,1831.97998
+2014-01-03,168.820007,,,2014-01-08,66.25,16469.990234,1831.369995
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+2014-01-09,169.5,,,2014-01-14,66.76,16444.759766,1838.130005
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+2014-01-15,170.46000700000002,,,2014-01-21,67.13,16481.939453,1848.380005
+2014-01-16,170.229996,,,2014-01-22,67.13,16417.009766,1845.890015
+2014-01-17,169.580002,,,2014-01-23,66.68,16458.560547,1838.699951
+2014-01-21,170.050003,,,2014-01-24,64.85,16414.439453,1843.800049
+2014-01-22,170.16000400000001,,,2014-01-27,64.55,16373.339844,1844.859985
+2014-01-23,168.649994,,,2014-01-28,65.11,16197.349609,1828.459961
+2014-01-24,165.130005,,,2014-01-29,64.38,15879.110352000002,1790.290039
+2014-01-27,164.330002,,,2014-01-30,64.71,15837.879883000001,1781.560059
+2014-01-28,165.33999599999999,,,2014-01-31,63.61,15928.55957,1792.5
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+2014-01-30,165.520004,,,2014-02-04,63.03,15848.610352000002,1794.189941
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+2014-02-03,160.690002,,,2014-02-06,64.28,15372.799805,1741.890015
+2014-02-04,161.929993,,,2014-02-07,65.12,15445.240234,1755.199951
+2014-02-05,161.649994,,,2014-02-10,64.9,15440.230469,1751.640015
+2014-02-06,163.740005,,,2014-02-11,65.93,15628.530272999998,1773.430054
+2014-02-07,165.919998,,,2014-02-12,66.04,15794.080078,1797.02002
+2014-02-10,166.179993,,,2014-02-13,66.24,15801.790038999998,1799.839966
+2014-02-11,168.020004,,,2014-02-14,66.49,15994.769531,1819.75
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+2014-02-13,169.050003,,,2014-02-19,66.61,16027.589844,1829.8299559999998
+2014-02-14,169.880005,,,2014-02-20,66.84,16154.389647999998,1838.630005
+2014-02-18,170.100006,,,2014-02-21,66.97,16130.400391,1840.7600100000002
+2014-02-19,169.0,,,2014-02-24,67.55,16040.55957,1828.75
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+2014-02-21,169.75,,,2014-02-26,67.16,16103.299805,1836.25
+2014-02-24,170.800003,,,2014-02-27,67.39,16207.139647999998,1847.609985
+2014-02-25,170.570007,,,2014-02-28,67.51,16179.660156,1845.119995
+2014-02-26,170.600006,,,2014-03-03,66.08,16198.410156,1845.160034
+2014-02-27,171.470001,,,2014-03-04,67.39,16272.650391,1854.290039
+2014-02-28,171.949997,,,2014-03-05,67.33,16321.709961000002,1859.449951
+2014-03-03,170.690002,,,2014-03-06,68.03,16168.030272999998,1845.72998
+2014-03-04,173.28999299999998,,,2014-03-07,67.66,16395.880859,1873.910034
+2014-03-05,173.320007,,,2014-03-10,67.24,16360.179688,1873.810059
+2014-03-06,173.649994,,,2014-03-11,66.75,16421.890625,1877.030029
+2014-03-07,173.75,,,2014-03-12,66.5,16452.720703,1878.040039
+2014-03-10,173.679993,,,2014-03-13,65.26,16418.679688,1877.1700440000002
+2014-03-11,172.800003,,,2014-03-14,65.12,16351.25,1867.630005
+2014-03-12,172.899994,,,2014-03-17,65.94,16340.080078,1868.199951
+2014-03-13,170.899994,,,2014-03-18,66.35,16108.889647999998,1846.339966
+2014-03-14,170.419998,,,2014-03-19,65.54,16065.669922,1841.130005
+2014-03-17,172.050003,,,2014-03-20,65.29,16247.219727000002,1858.8299559999998
+2014-03-18,173.300003,,,2014-03-21,65.16,16336.19043,1872.25
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+2014-03-20,173.279999,,,2014-03-25,66.04,16331.049805,1872.0100100000002
+2014-03-21,172.03999299999998,,,2014-03-26,66.03,16302.769531,1866.52002
+2014-03-24,171.199997,,,2014-03-27,66.36,16276.69043,1857.439941
+2014-03-25,171.970001,,,2014-03-28,66.86,16367.879883000001,1865.619995
+2014-03-26,170.770004,,,2014-03-31,67.2,16268.990234,1852.560059
+2014-03-27,170.470001,,,2014-04-01,67.63,16264.230469,1849.040039
+2014-03-28,171.270004,,,2014-04-02,67.76,16323.05957,1857.619995
+2014-03-31,172.630005,,,2014-04-03,67.57,16457.660156,1872.339966
+2014-04-01,173.860001,,,2014-04-04,67.36,16532.609375,1885.52002
+2014-04-02,174.380005,,,2014-04-07,67.04,16573.0,1890.9000239999998
+2014-04-03,174.190002,,,2014-04-08,67.0,16572.550781,1888.77002
+2014-04-04,172.009995,,,2014-04-09,67.86,16412.710938,1865.089966
+2014-04-07,170.16000400000001,,,2014-04-10,66.66,16245.870116999999,1845.040039
+2014-04-08,170.850006,,,2014-04-11,66.26,16256.139647999998,1851.959961
+2014-04-09,172.729996,,,2014-04-14,66.64,16437.179688,1872.180054
+2014-04-10,169.130005,,,2014-04-15,66.36,16170.219727000002,1833.0799559999998
+2014-04-11,167.53999299999998,,,2014-04-16,67.18,16026.75,1815.689941
+2014-04-14,168.91000400000001,,,2014-04-17,67.53,16173.240234,1830.609985
+2014-04-15,170.050003,,,2014-04-21,67.62,16262.55957,1842.97998
+2014-04-16,171.83999599999999,,,2014-04-22,67.9,16424.849609,1862.310059
+2014-04-17,172.080002,,,2014-04-23,67.74,16408.539063,1864.8499760000002
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+2014-04-25,171.970001,,,2014-04-30,68.32,16361.459961000002,1863.4000239999998
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+2014-05-01,173.869995,,,2014-05-06,68.23,16558.869141,1883.680054
+2014-05-02,173.630005,,,2014-05-07,68.31,16512.890625,1881.140015
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+2014-06-12,178.71000700000002,,,2014-06-17,69.69,16734.189453,1930.109985
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+2014-07-07,182.479996,,,2014-07-10,67.43,17024.210938,1977.6500239999998
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+2014-07-15,182.16000400000001,,,2014-07-18,67.88,17060.679688,1973.280029
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+2014-08-18,182.350006,,,2014-08-21,66.79,16838.740234,1971.7399899999998
+2014-08-19,183.300003,,,2014-08-22,66.47,16919.589844,1981.5999760000002
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+2014-08-26,185.03999299999998,,,2014-08-29,66.71,17106.699219,2000.02002
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+2014-09-04,184.940002,,,2014-09-09,66.1,17069.580078,1997.6500239999998
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+2014-09-08,185.330002,,,2014-09-11,66.11,17111.419922,2001.540039
+2014-09-09,184.119995,,,2014-09-12,66.02,17013.869141,1988.439941
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+2014-09-11,185.020004,,,2014-09-16,66.16,17049.0,1997.449951
+2014-09-12,183.919998,,,2014-09-17,65.69,16987.509766,1985.540039
+2014-09-15,183.78999299999998,,,2014-09-18,66.2,17031.140625,1984.130005
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+2014-09-17,185.41000400000001,,,2014-09-22,65.68,17156.849609,2001.569946
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+2014-09-22,183.940002,,,2014-09-25,64.5,17172.679688,1994.290039
+2014-09-23,182.899994,,,2014-09-26,64.77,17055.869141,1982.77002
+2014-09-24,184.330002,,,2014-09-29,64.17,17210.060547,1998.300049
+2014-09-25,181.350006,,,2014-09-30,64.12,16945.800781,1965.9899899999998
+2014-09-26,182.940002,,,2014-10-01,63.36,17113.150391,1982.8499760000002
+2014-09-29,182.490005,,,2014-10-02,62.68,17071.220703,1977.800049
+2014-09-30,181.990005,,,2014-10-03,62.68,17042.900391,1972.290039
+2014-10-01,179.58999599999999,,,2014-10-06,63.08,16804.710938,1946.160034
+2014-10-02,179.610001,,,2014-10-07,62.01,16801.050781,1946.1700440000002
+2014-10-03,181.610001,,,2014-10-08,62.99,17009.689453,1967.9000239999998
+2014-10-06,181.330002,,,2014-10-09,61.3,16991.910156,1964.819946
+2014-10-07,178.58999599999999,,,2014-10-10,60.38,16719.390625,1935.0999760000002
+2014-10-08,181.770004,,,2014-10-13,60.3,16994.220703,1968.890015
+2014-10-09,178.020004,,,2014-10-14,60.45,16659.25,1928.209961
+2014-10-10,176.0,,,2014-10-15,60.09,16544.099609,1906.130005
+2014-10-13,173.100006,,,2014-10-16,59.53,16321.070313,1874.7399899999998
+2014-10-14,173.380005,,,2014-10-17,60.64,16315.19043,1877.699951
+2014-10-15,171.979996,,,2014-10-20,61.02,16141.740234,1862.4899899999998
+2014-10-16,172.009995,,,2014-10-21,61.75,16117.240234,1862.7600100000002
+2014-10-17,174.229996,,,2014-10-22,61.3,16380.410156,1886.7600100000002
+2014-10-20,175.830002,,,2014-10-23,61.89,16399.669922,1904.0100100000002
+2014-10-21,179.270004,,,2014-10-24,62.23,16614.810547,1941.280029
+2014-10-22,177.979996,,,2014-10-27,61.88,16461.320313,1927.109985
+2014-10-23,180.169998,,,2014-10-28,62.82,16677.900391,1950.819946
+2014-10-24,181.440002,,,2014-10-29,62.34,16805.410156,1964.5799559999998
+2014-10-27,181.169998,,,2014-10-30,62.79,16817.939453,1961.630005
+2014-10-28,183.330002,,,2014-10-31,63.95,17005.75,1985.050049
+2014-10-29,183.08999599999999,,,2014-11-03,63.4,16974.310547,1982.300049
+2014-10-30,184.240005,,,2014-11-04,63.04,17195.419922,1994.6500239999998
+2014-10-31,186.399994,,,2014-11-05,63.16,17390.519531,2018.050049
+2014-11-03,186.380005,,,2014-11-06,62.82,17366.240234,2017.810059
+2014-11-04,185.850006,,,2014-11-07,62.85,17383.839844,2012.0999760000002
+2014-11-05,186.979996,,,2014-11-10,63.13,17484.529297,2023.569946
+2014-11-06,187.740005,,,2014-11-11,63.51,17554.470703,2031.209961
+2014-11-07,187.83999599999999,,,2014-11-12,62.97,17573.929688,2031.9200440000002
+2014-11-10,188.440002,,,2014-11-13,63.27,17613.740234,2038.2600100000002
+2014-11-11,188.570007,,,2014-11-14,63.36,17614.900391,2039.680054
+2014-11-12,188.490005,,,2014-11-17,63.11,17612.199219,2038.25
+2014-11-13,188.600006,,,2014-11-18,63.8,17652.789063,2039.3299559999998
+2014-11-14,188.669998,,,2014-11-19,63.61,17634.740234,2039.819946
+2014-11-17,188.820007,,,2014-11-20,63.23,17647.75,2041.319946
+2014-11-18,189.820007,,,2014-11-21,63.78,17687.820313,2051.800049
+2014-11-19,189.550003,,,2014-11-24,64.15,17685.730469,2048.719971
+2014-11-20,189.929993,,,2014-11-25,64.26,17719.0,2052.75
+2014-11-21,190.949997,,,2014-11-26,64.51,17810.060547,2063.5
+2014-11-24,191.5,,,2014-11-28,63.99,17817.900391,2069.409912
+2014-11-25,191.300003,,,2014-12-01,63.93,17814.939453,2067.030029
+2014-11-26,191.880005,,,2014-12-02,64.11,17827.75,2072.830078
+2014-11-28,191.399994,,,2014-12-03,64.03,17828.240234,2067.560059
+2014-12-01,190.100006,,,2014-12-04,63.82,17776.800781,2053.439941
+2014-12-02,191.330002,,,2014-12-05,63.96,17879.550781,2066.550049
+2014-12-03,192.100006,,,2014-12-08,63.4,17912.619141,2074.330078
+2014-12-04,191.880005,,,2014-12-09,63.06,17900.099609,2071.919922
+2014-12-05,192.199997,,,2014-12-10,62.26,17958.789063,2075.3701170000004
+2014-12-08,190.830002,,,2014-12-11,62.18,17852.480469,2060.310059
+2014-12-09,190.779999,,,2014-12-12,60.98,17801.199219,2059.820068
+2014-12-10,187.669998,,,2014-12-15,59.97,17533.150391,2026.140015
+2014-12-11,188.570007,,,2014-12-16,60.4,17596.339844,2035.3299559999998
+2014-12-12,185.520004,,,2014-12-17,60.53,17280.830078,2002.3299559999998
+2014-12-15,184.350006,,,2014-12-18,61.61,17180.839844,1989.630005
+2014-12-16,182.78999299999998,,,2014-12-19,61.7,17068.869141,1972.7399899999998
+2014-12-17,185.529999,,,2014-12-22,62.0,17356.869141,2012.890015
+2014-12-18,190.020004,,,2014-12-23,61.8,17778.150391,2061.22998
+2014-12-19,190.889999,,,2014-12-24,62.08,17804.800781,2070.649902
+2014-12-22,191.630005,,,2014-12-26,62.24,17959.439453,2078.540039
+2014-12-23,191.979996,,,2014-12-29,61.79,18024.169922,2082.169922
+2014-12-24,191.96000700000002,,,2014-12-30,61.22,18030.210938,2081.8798829999996
+2014-12-26,192.58999599999999,,,2014-12-31,60.84,18053.710938,2088.77002
+2014-12-29,192.78999299999998,,,2015-01-02,60.58,18038.230469,2090.570068
+2014-12-30,191.869995,,,2015-01-05,59.15,17983.070313,2080.350098
+2014-12-31,189.889999,,,2015-01-06,58.48,17823.070313,2058.899902
+2015-01-02,189.850006,,,2015-01-07,59.13,17832.990234,2058.199951
+2015-01-05,186.389999,,,2015-01-08,59.93,17501.650391,2020.5799559999998
+2015-01-06,184.729996,,,2015-01-09,59.64,17371.640625,2002.609985
+2015-01-07,186.940002,,,2015-01-12,59.5,17584.519531,2025.9000239999998
+2015-01-08,190.279999,,,2015-01-13,59.8,17907.869141,2062.139893
+2015-01-09,188.679993,,,2015-01-14,59.63,17737.369141,2044.810059
+2015-01-12,187.149994,,,2015-01-15,60.01,17640.839844,2028.2600100000002
+2015-01-13,186.690002,,,2015-01-16,60.79,17613.679688,2023.030029
+2015-01-14,185.610001,,,2015-01-20,61.0,17427.089844,2011.27002
+2015-01-15,183.899994,,,2015-01-21,61.48,17320.710938,1992.6700440000002
+2015-01-16,186.369995,,,2015-01-22,61.71,17511.570313,2019.4200440000002
+2015-01-20,186.66000400000001,,,2015-01-23,61.36,17515.230469,2022.550049
+2015-01-21,187.559998,,,2015-01-26,62.2,17554.279297,2032.119995
+2015-01-22,190.429993,,,2015-01-27,62.29,17813.980469,2063.149902
+2015-01-23,189.380005,,,2015-01-28,61.36,17672.599609,2051.820068
+2015-01-26,189.869995,,,2015-01-29,62.2,17678.699219,2057.090088
+2015-01-27,187.330002,,,2015-01-30,61.22,17387.210938,2029.550049
+2015-01-28,184.809998,,,2015-02-02,61.96,17191.369141,2002.160034
+2015-01-29,186.58999599999999,,,2015-02-03,62.95,17416.849609,2021.25
+2015-01-30,184.169998,,,2015-02-04,62.43,17164.949219,1994.9899899999998
+2015-02-02,186.559998,,,2015-02-05,63.29,17361.039063,2020.8499760000002
+2015-02-03,189.25,,,2015-02-06,62.5,17666.400391,2050.030029
+2015-02-04,188.520004,,,2015-02-09,62.2,17673.019531,2041.5100100000002
+2015-02-05,190.5,,,2015-02-10,62.77,17884.880859,2062.52002
+2015-02-06,189.899994,,,2015-02-11,62.43,17824.289063,2055.469971
+2015-02-09,189.100006,,,2015-02-12,63.4,17729.210938,2046.7399899999998
+2015-02-10,191.119995,,,2015-02-13,63.82,17868.759766,2068.590088
+2015-02-11,191.179993,,,2015-02-17,63.97,17862.140625,2068.530029
+2015-02-12,193.070007,,,2015-02-18,64.35,17972.380859,2088.47998
+2015-02-13,193.880005,,,2015-02-19,64.43,18019.349609,2096.98999
+2015-02-17,194.21000700000002,,,2015-02-20,65.03,18047.580078,2100.340088
+2015-02-18,194.16000400000001,,,2015-02-23,64.8,18029.849609,2099.679932
+2015-02-19,193.990005,,,2015-02-24,65.2,17985.769531,2097.449951
+2015-02-20,195.199997,,,2015-02-25,65.25,18140.439453,2110.300049
+2015-02-23,195.139999,,,2015-02-26,65.07,18116.839844,2109.659912
+2015-02-24,195.679993,,,2015-02-27,65.1,18209.189453,2115.47998
+2015-02-25,195.559998,,,2015-03-02,65.2,18224.570313,2113.860107
+2015-02-26,195.309998,,,2015-03-03,64.8,18214.419922,2110.73999
+2015-02-27,194.729996,,,2015-03-04,64.54,18132.699219,2104.5
+2015-03-02,195.929993,,,2015-03-05,64.69,18288.630859,2117.389893
+2015-03-03,195.03999299999998,,,2015-03-06,63.81,18203.369141,2107.780029
+2015-03-04,194.229996,,,2015-03-09,63.91,18096.900391,2098.530029
+2015-03-05,194.470001,,,2015-03-10,62.52,18135.720703,2101.040039
+2015-03-06,191.729996,,,2015-03-11,62.68,17856.779297,2071.26001
+2015-03-09,192.509995,,,2015-03-12,63.46,17995.720703,2079.429932
+2015-03-10,189.25,,,2015-03-13,63.09,17662.939453,2044.160034
+2015-03-11,188.919998,,,2015-03-16,63.8,17635.390625,2040.2399899999998
+2015-03-12,191.350006,,,2015-03-17,63.64,17895.220703,2065.949951
+2015-03-13,190.190002,,,2015-03-18,65.0,17749.310547,2053.399902
+2015-03-16,192.759995,,,2015-03-19,64.24,17977.419922,2081.189941
+2015-03-17,192.119995,,,2015-03-20,65.66,17849.080078,2074.280029
+2015-03-18,194.46000700000002,,,2015-03-23,65.99,18076.189453,2099.5
+2015-03-19,193.520004,,,2015-03-24,65.85,17959.029297,2089.27002
+2015-03-20,194.320007,,,2015-03-25,65.54,18127.650391,2108.100098
+2015-03-23,193.979996,,,2015-03-26,64.97,18116.039063,2104.419922
+2015-03-24,192.809998,,,2015-03-27,65.14,18011.140625,2091.5
+2015-03-25,190.009995,,,2015-03-30,65.18,17718.539063,2061.050049
+2015-03-26,189.559998,,,2015-03-31,64.17,17678.230469,2056.149902
+2015-03-27,190.03999299999998,,,2015-04-01,64.63,17712.660156,2061.02002
+2015-03-30,192.380005,,,2015-04-02,65.19,17976.310547,2086.23999
+2015-03-31,190.71000700000002,,,2015-04-06,65.85,17776.119141,2067.889893
+2015-04-01,189.979996,,,2015-04-07,65.76,17698.179688,2059.689941
+2015-04-02,190.649994,,,2015-04-08,66.04,17763.240234,2066.959961
+2015-04-06,191.91000400000001,,,2015-04-09,66.13,17880.849609,2080.6201170000004
+2015-04-07,191.520004,,,2015-04-10,66.26,17875.419922,2076.330078
+2015-04-08,192.100006,,,2015-04-13,65.84,17902.509766,2081.899902
+2015-04-09,192.96000700000002,,,2015-04-14,66.33,17958.730469,2091.179932
+2015-04-10,193.96000700000002,,,2015-04-15,66.63,18057.650391,2102.060059
+2015-04-13,193.08999599999999,,,2015-04-16,66.81,17977.039063,2092.429932
+2015-04-14,193.399994,,,2015-04-17,65.97,18036.699219,2095.840088
+2015-04-15,194.399994,,,2015-04-20,66.04,18112.609375,2106.6298829999996
+2015-04-16,194.25,,,2015-04-21,66.63,18105.769531,2104.98999
+2015-04-17,192.050003,,,2015-04-22,66.76,17826.300781,2081.179932
+2015-04-20,193.830002,,,2015-04-23,67.01,18034.929688,2100.399902
+2015-04-21,193.53999299999998,,,2015-04-24,67.4,17949.589844,2097.290039
+2015-04-22,194.529999,,,2015-04-27,67.73,18038.269531,2107.959961
+2015-04-23,195.009995,,,2015-04-28,67.81,18058.689453,2112.929932
+2015-04-24,195.449997,,,2015-04-29,67.22,18080.140625,2117.689941
+2015-04-27,194.639999,,,2015-04-30,66.51,18037.970703,2108.919922
+2015-04-28,195.199997,,,2015-05-01,67.25,18110.140625,2114.76001
+2015-04-29,194.479996,,,2015-05-04,67.18,18035.529297,2106.850098
+2015-04-30,192.520004,,,2015-05-05,66.18,17840.519531,2085.51001
+2015-05-01,194.619995,,,2015-05-06,66.35,18024.060547,2108.290039
+2015-05-04,195.190002,,,2015-05-07,66.13,18070.400391,2114.48999
+2015-05-05,192.899994,,,2015-05-08,67.66,17928.199219,2089.459961
+2015-05-06,192.110001,,,2015-05-11,67.07,17841.980469,2080.149902
+2015-05-07,192.880005,,,2015-05-12,67.03,17924.060547,2088.0
+2015-05-08,195.479996,,,2015-05-13,67.53,18191.109375,2116.100098
+2015-05-11,194.520004,,,2015-05-14,68.34,18105.169922,2105.330078
+2015-05-12,193.970001,,,2015-05-15,68.42,18068.230469,2099.1201170000004
+2015-05-13,193.940002,,,2015-05-18,68.19,18060.490234,2098.47998
+2015-05-14,196.050003,,,2015-05-19,67.93,18252.240234,2121.100098
+2015-05-15,196.220001,,,2015-05-20,68.06,18272.560547,2122.72998
+2015-05-18,196.830002,,,2015-05-21,68.42,18298.880859,2129.199951
+2015-05-19,196.740005,,,2015-05-22,67.98,18312.390625,2127.830078
+2015-05-20,196.580002,,,2015-05-26,66.76,18285.400391,2125.850098
+2015-05-21,197.070007,,,2015-05-27,67.41,18285.740234,2130.820068
+2015-05-22,196.630005,,,2015-05-28,67.29,18232.019531,2126.060059
+2015-05-26,194.610001,,,2015-05-29,66.64,18041.539063,2104.199951
+2015-05-27,196.419998,,,2015-06-01,66.46,18162.990234,2123.47998
+2015-05-28,196.199997,,,2015-06-02,66.77,18126.119141,2120.790039
+2015-05-29,194.970001,,,2015-06-03,67.14,18010.679688,2107.389893
+2015-06-01,195.389999,,,2015-06-04,66.42,18040.369141,2111.72998
+2015-06-02,195.199997,,,2015-06-05,65.63,18011.939453,2109.600098
+2015-06-03,195.649994,,,2015-06-08,65.54,18076.269531,2114.070068
+2015-06-04,193.970001,,,2015-06-09,65.18,17905.580078,2095.840088
+2015-06-05,193.690002,,,2015-06-10,66.55,17849.460938,2092.830078
+2015-06-08,192.470001,,,2015-06-11,66.73,17766.550781,2079.280029
+2015-06-09,192.550003,,,2015-06-12,66.2,17764.039063,2080.149902
+2015-06-10,194.880005,,,2015-06-15,65.8,18000.400391,2105.199951
+2015-06-11,195.279999,,,2015-06-16,65.78,18039.369141,2108.860107
+2015-06-12,193.929993,,,2015-06-17,65.63,17898.839844,2094.110107
+2015-06-15,193.029999,,,2015-06-18,66.22,17791.169922,2084.429932
+2015-06-16,194.130005,,,2015-06-19,66.06,17904.480469,2096.290039
+2015-06-17,194.520004,,,2015-06-22,67.31,17935.740234,2100.439941
+2015-06-18,196.470001,,,2015-06-23,67.49,18115.839844,2121.23999
+2015-06-19,194.570007,,,2015-06-24,66.9,18015.949219,2109.98999
+2015-06-22,195.75,,,2015-06-25,65.77,18119.779297,2122.850098
+2015-06-23,195.889999,,,2015-06-26,65.74,18144.070313,2124.199951
+2015-06-24,194.46000700000002,,,2015-06-29,63.72,17966.070313,2108.580078
+2015-06-25,193.889999,,,2015-06-30,63.49,17890.359375,2102.310059
+2015-06-26,193.850006,,,2015-07-01,63.9,17946.679688,2101.48999
+2015-06-29,189.83999599999999,,,2015-07-02,63.98,17596.349609,2057.639893
+2015-06-30,190.360001,,,2015-07-06,62.69,17619.509766,2063.110107
+2015-07-01,191.729996,,,2015-07-07,62.71,17757.910156,2077.419922
+2015-07-02,191.669998,,,2015-07-08,61.25,17730.109375,2076.780029
+2015-07-06,190.929993,,,2015-07-09,62.26,17683.580078,2068.76001
+2015-07-07,192.08999599999999,,,2015-07-10,64.3,17776.910156,2081.340088
+2015-07-08,188.949997,,,2015-07-13,64.54,17515.419922,2046.680054
+2015-07-09,189.380005,,,2015-07-14,65.08,17548.619141,2051.310059
+2015-07-10,191.71000700000002,,,2015-07-15,64.84,17760.410156,2076.6201170000004
+2015-07-13,193.850006,,,2015-07-16,65.4,17977.679688,2099.600098
+2015-07-14,194.71000700000002,,,2015-07-17,65.31,18053.580078,2108.949951
+2015-07-15,194.570007,,,2015-07-20,65.46,18050.169922,2107.399902
+2015-07-16,196.130005,,,2015-07-21,65.27,18120.25,2124.290039
+2015-07-17,196.350006,,,2015-07-22,64.77,18086.449219,2126.639893
+2015-07-20,196.5,,,2015-07-23,64.6,18100.410156,2128.280029
+2015-07-21,195.669998,,,2015-07-24,63.89,17919.289063,2119.209961
+2015-07-22,195.220001,,,2015-07-27,63.42,17851.039063,2114.149902
+2015-07-23,194.130005,,,2015-07-28,64.22,17731.919922,2102.149902
+2015-07-24,192.050003,,,2015-07-29,64.45,17568.529297,2079.649902
+2015-07-27,190.940002,,,2015-07-30,64.4,17440.589844,2067.639893
+2015-07-28,193.300003,,,2015-07-31,64.78,17630.269531,2093.25
+2015-07-29,194.740005,,,2015-08-03,64.61,17751.390625,2108.570068
+2015-07-30,194.759995,,,2015-08-04,64.66,17745.980469,2108.6298829999996
+2015-07-31,194.320007,,,2015-08-05,65.0,17689.859375,2103.840088
+2015-08-03,193.779999,,,2015-08-06,64.73,17598.199219,2098.040039
+2015-08-04,193.350006,,,2015-08-07,64.61,17550.689453,2093.320068
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+2018-02-07,247.86999500000002,,,2018-02-12,69.64,24893.349609,2681.659912
+2018-02-08,238.61000099999998,,,2018-02-13,69.43,23860.460938,2581.0
+2018-02-09,242.25,,,2018-02-14,70.66,24190.900391,2619.550049
+2018-02-12,245.61999500000002,,,2018-02-15,71.1,24601.269531,2656.0
+2018-02-13,246.27999900000003,,,2018-02-16,71.42,24640.449219,2662.939941
+2018-02-14,249.649994,,,2018-02-20,70.75,24893.490234,2698.6298829999996
+2018-02-15,252.72000099999997,,,2018-02-21,70.41,25200.369141,2731.199951
+2018-02-16,252.83999599999999,,,2018-02-22,70.78,25219.380859,2732.219971
+2018-02-20,251.36999500000002,,,2018-02-23,71.34,24964.75,2716.26001
+2018-02-21,250.0,,,2018-02-26,72.01,24797.779297,2701.330078
+2018-02-22,250.25999500000003,,,2018-02-27,70.94,24962.480469,2703.959961
+2018-02-23,254.289993,,,2018-02-28,70.27,25309.990234,2747.300049
+2018-02-26,257.299988,,,2018-03-01,69.09,25709.269531,2779.600098
+2018-02-27,254.07000699999998,,,2018-03-02,69.42,25410.029297,2744.280029
+2018-02-28,251.270004,,,2018-03-05,69.79,25029.199219,2713.830078
+2018-03-01,247.97000099999997,,,2018-03-06,70.2,24608.980469,2677.669922
+2018-03-02,249.24000499999997,,,,,24538.060547,2691.25
+2018-03-05,251.99000499999997,,,,,24874.759766,2720.939941
+2018-03-06,252.669998,,,,,24884.119141,2728.1201170000004
diff --git a/investments-dashboard/data/df_hist_prices.csv b/investments-dashboard/data/df_hist_prices.csv
new file mode 100644
index 0000000..23e5c71
--- /dev/null
+++ b/investments-dashboard/data/df_hist_prices.csv
@@ -0,0 +1,6 @@
+date,price
+02/28/2018,$251.27
+02/27/2018,$254.07
+02/26/2018,$257.30
+02/23/2018,$254.29
+02/22/2018,$250.26
diff --git a/investments-dashboard/data/df_minimums.csv b/investments-dashboard/data/df_minimums.csv
new file mode 100644
index 0000000..3ffe5d7
--- /dev/null
+++ b/investments-dashboard/data/df_minimums.csv
@@ -0,0 +1,6 @@
+A,B,C
+'-,Initial Minimum,Additional Investments
+General Account,"""$3,000""",$1
+UGMA/UTMA,"""$3,000""",$1
+IRA,"""$3,000""",$1
+Education savings account,"""$2,000""",$1
diff --git a/investments-dashboard/data/df_price_perf.csv b/investments-dashboard/data/df_price_perf.csv
new file mode 100644
index 0000000..0c01d6d
--- /dev/null
+++ b/investments-dashboard/data/df_price_perf.csv
@@ -0,0 +1,4 @@
+label,price,percent
+Price as of 02/27/2018,$254.07,None
+Change,'-$3.23,'-1.26%
+SEC yield,1.67%,B
diff --git a/investments-dashboard/data/df_realized.csv b/investments-dashboard/data/df_realized.csv
new file mode 100644
index 0000000..87dfd15
--- /dev/null
+++ b/investments-dashboard/data/df_realized.csv
@@ -0,0 +1,4 @@
+A,B
+Realized capital gain/loss,–$0.60
+Realized capital gain/loss as a % of NAV,–0.23%
+Fiscal year end,12/31/2018
diff --git a/investments-dashboard/data/df_recent_returns.csv b/investments-dashboard/data/df_recent_returns.csv
new file mode 100644
index 0000000..53ab5d3
--- /dev/null
+++ b/investments-dashboard/data/df_recent_returns.csv
@@ -0,0 +1,4 @@
+A,B,C,D,E
+'-,YTD as of 03/05/2018,YTD as of 02/28/2018,Previous Month 02/28/2018,3M Total as of 02/28/2018
+500 Index Fund Inv,2.09%,1.81%,–3.69%,2.93%
+S&P 500 Index*,—,1.83%,–3.69%,2.96%
diff --git a/investments-dashboard/data/df_unrealized.csv b/investments-dashboard/data/df_unrealized.csv
new file mode 100644
index 0000000..678eccf
--- /dev/null
+++ b/investments-dashboard/data/df_unrealized.csv
@@ -0,0 +1,3 @@
+A,B
+Unrealized appreciation/depreciation,$107.02
+Unrealized appreciation/depreciation as a % of NAV,41.02%
diff --git a/investments-dashboard/demos/callbacks/01_simple_callback.py b/investments-dashboard/demos/callbacks/01_simple_callback.py
new file mode 100644
index 0000000..4ed076a
--- /dev/null
+++ b/investments-dashboard/demos/callbacks/01_simple_callback.py
@@ -0,0 +1,93 @@
+from dash import Dash, dcc, html, Input, Output, callback
+
+BG = '#0f1117'
+CARD = '#1a1d27'
+BORDER = '#2d3148'
+TEXT = '#e2e8f0'
+MUTED = '#94a3b8'
+ACCENT = '#7c3aed'
+
+app = Dash(__name__)
+
+app.layout = html.Div(style={
+    'backgroundColor': BG,
+    'padding': '48px',
+    'fontFamily': 'Inter, system-ui, sans-serif',
+    'minHeight': '100vh',
+    'maxWidth': '640px',
+    'margin': '0 auto',
+}, children=[
+    html.H2('Callback Anatomy', style={'color': TEXT, 'marginBottom': '4px'}),
+    html.P('The output reacts automatically whenever the input changes.',
+           style={'color': MUTED, 'marginBottom': '40px'}),
+
+    # Input section
+    html.Div(style={
+        'backgroundColor': CARD,
+        'border': f'1px solid {BORDER}',
+        'borderRadius': '10px',
+        'padding': '20px',
+        'marginBottom': '12px',
+    }, children=[
+        html.Div('INPUT', style={
+            'color': MUTED, 'fontSize': '11px', 'fontWeight': '700',
+            'letterSpacing': '0.1em', 'marginBottom': '10px',
+        }),
+        dcc.Input(
+            id='my-input',
+            value='initial value',
+            type='text',
+            debounce=False,
+            style={
+                'backgroundColor': BG,
+                'border': f'1px solid {ACCENT}',
+                'borderRadius': '6px',
+                'color': TEXT,
+                'padding': '10px 14px',
+                'fontSize': '15px',
+                'width': '100%',
+                'outline': 'none',
+                'boxSizing': 'border-box',
+            },
+        ),
+        html.P('Try changing this value — the output below updates instantly.',
+               style={'color': MUTED, 'fontSize': '12px', 'marginTop': '8px', 'marginBottom': 0}),
+    ]),
+
+    # Arrow indicator
+    html.Div('↓', style={
+        'color': ACCENT, 'fontSize': '24px', 'textAlign': 'center',
+        'margin': '4px 0', 'lineHeight': 1,
+    }),
+
+    # Output section
+    html.Div(style={
+        'backgroundColor': CARD,
+        'border': f'1px solid {BORDER}',
+        'borderRadius': '10px',
+        'padding': '20px',
+    }, children=[
+        html.Div('OUTPUT', style={
+            'color': MUTED, 'fontSize': '11px', 'fontWeight': '700',
+            'letterSpacing': '0.1em', 'marginBottom': '10px',
+        }),
+        html.Div(id='my-output', style={
+            'color': ACCENT,
+            'fontSize': '22px',
+            'fontWeight': '600',
+            'minHeight': '32px',
+        }),
+    ]),
+])
+
+
+@callback(
+    Output('my-output', 'children'),
+    Input('my-input', 'value'),
+)
+def update_output(input_value):
+    return f'Output: {input_value}'
+
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/demos/callbacks/02_gapminder_slider.py b/investments-dashboard/demos/callbacks/02_gapminder_slider.py
new file mode 100644
index 0000000..89d2731
--- /dev/null
+++ b/investments-dashboard/demos/callbacks/02_gapminder_slider.py
@@ -0,0 +1,75 @@
+from dash import Dash, dcc, html, Input, Output, callback
+import plotly.express as px
+import pandas as pd
+
+BG = '#0f1117'
+CARD = '#1a1d27'
+BORDER = '#2d3148'
+TEXT = '#e2e8f0'
+MUTED = '#94a3b8'
+TEMPLATE = 'plotly_dark'
+
+app = Dash(__name__)
+
+df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv')
+
+app.layout = html.Div(style={
+    'backgroundColor': BG,
+    'padding': '24px',
+    'fontFamily': 'Inter, system-ui, sans-serif',
+    'minHeight': '100vh',
+}, children=[
+    html.H2('GDP vs Life Expectancy', style={'color': TEXT, 'marginBottom': '4px'}),
+    html.P('Drag the year slider — the chart animates smoothly between years.',
+           style={'color': MUTED, 'marginBottom': '16px'}),
+
+    dcc.Graph(id='graph-with-slider'),
+
+    html.Div(style={'padding': '8px 40px 0 40px'}, children=[
+        html.Div('Year', style={
+            'color': MUTED, 'fontSize': '11px', 'fontWeight': '600',
+            'letterSpacing': '0.08em', 'textTransform': 'uppercase', 'marginBottom': '8px',
+        }),
+        dcc.Slider(
+            df['year'].min(),
+            df['year'].max(),
+            step=None,
+            value=df['year'].min(),
+            marks={
+                str(year): {
+                    'label': str(year),
+                    'style': {'color': MUTED, 'fontSize': '11px'},
+                }
+                for year in df['year'].unique()
+            },
+            id='year-slider',
+        ),
+    ]),
+])
+
+
+@callback(
+    Output('graph-with-slider', 'figure'),
+    Input('year-slider', 'value'))
+def update_figure(selected_year):
+    filtered_df = df[df.year == selected_year]
+
+    fig = px.scatter(
+        filtered_df,
+        x='gdpPercap', y='lifeExp',
+        size='pop', color='continent',
+        hover_name='country',
+        log_x=True, size_max=55,
+        template=TEMPLATE,
+    )
+    fig.update_layout(
+        transition_duration=500,
+        plot_bgcolor=CARD,
+        paper_bgcolor=CARD,
+        margin=dict(l=40, r=40, t=20, b=20),
+    )
+    return fig
+
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/demos/callbacks/03_multiple_inputs.py b/investments-dashboard/demos/callbacks/03_multiple_inputs.py
new file mode 100644
index 0000000..2e3c0ad
--- /dev/null
+++ b/investments-dashboard/demos/callbacks/03_multiple_inputs.py
@@ -0,0 +1,121 @@
+from dash import Dash, dcc, html, Input, Output, callback
+import plotly.express as px
+import pandas as pd
+
+BG = '#0f1117'
+CARD = '#1a1d27'
+BORDER = '#2d3148'
+TEXT = '#e2e8f0'
+MUTED = '#94a3b8'
+TEMPLATE = 'plotly_dark'
+
+app = Dash(__name__)
+
+df = pd.read_csv('https://plotly.github.io/datasets/country_indicators.csv')
+
+label_style = {
+    'color': MUTED,
+    'fontSize': '11px',
+    'fontWeight': '600',
+    'letterSpacing': '0.08em',
+    'textTransform': 'uppercase',
+    'marginBottom': '6px',
+}
+
+radio_label_style = {'marginRight': '12px', 'marginTop': '6px', 'color': TEXT, 'fontSize': '13px'}
+
+app.layout = html.Div(style={
+    'backgroundColor': BG,
+    'padding': '24px',
+    'fontFamily': 'Inter, system-ui, sans-serif',
+    'minHeight': '100vh',
+}, children=[
+    html.H2('Multiple Inputs → One Output', style={'color': TEXT, 'marginBottom': '4px'}),
+    html.P('Any of the 5 controls below triggers the callback and updates the chart.',
+           style={'color': MUTED, 'marginBottom': '20px'}),
+
+    # Controls row
+    html.Div(style={'display': 'flex', 'gap': '24px', 'marginBottom': '16px'}, children=[
+        html.Div(style={'flex': 1}, children=[
+            html.Div('X Axis Indicator', style=label_style),
+            dcc.Dropdown(
+                df['Indicator Name'].unique(),
+                'Fertility rate, total (births per woman)',
+                id='xaxis-column',
+                style={'backgroundColor': CARD, 'color': TEXT},
+            ),
+            dcc.RadioItems(
+                ['Linear', 'Log'], 'Linear',
+                id='xaxis-type',
+                inline=True,
+                labelStyle=radio_label_style,
+            ),
+        ]),
+        html.Div(style={'flex': 1}, children=[
+            html.Div('Y Axis Indicator', style=label_style),
+            dcc.Dropdown(
+                df['Indicator Name'].unique(),
+                'Life expectancy at birth, total (years)',
+                id='yaxis-column',
+                style={'backgroundColor': CARD, 'color': TEXT},
+            ),
+            dcc.RadioItems(
+                ['Linear', 'Log'], 'Linear',
+                id='yaxis-type',
+                inline=True,
+                labelStyle=radio_label_style,
+            ),
+        ]),
+    ]),
+
+    dcc.Graph(id='indicator-graphic'),
+
+    html.Div(style={'padding': '8px 40px 0 40px'}, children=[
+        html.Div('Year', style=label_style),
+        dcc.Slider(
+            df['Year'].min(),
+            df['Year'].max(),
+            step=None,
+            id='year--slider',
+            value=df['Year'].max(),
+            marks={
+                str(year): {
+                    'label': str(year),
+                    'style': {'color': MUTED, 'fontSize': '11px'},
+                }
+                for year in df['Year'].unique()
+            },
+        ),
+    ]),
+])
+
+
+@callback(
+    Output('indicator-graphic', 'figure'),
+    Input('xaxis-column', 'value'),
+    Input('yaxis-column', 'value'),
+    Input('xaxis-type', 'value'),
+    Input('yaxis-type', 'value'),
+    Input('year--slider', 'value'))
+def update_graph(xaxis_col, yaxis_col, xaxis_type, yaxis_type, year_value):
+    dff = df[df['Year'] == year_value]
+
+    fig = px.scatter(
+        x=dff[dff['Indicator Name'] == xaxis_col]['Value'],
+        y=dff[dff['Indicator Name'] == yaxis_col]['Value'],
+        hover_name=dff[dff['Indicator Name'] == yaxis_col]['Country Name'],
+        template=TEMPLATE,
+    )
+    fig.update_layout(
+        plot_bgcolor=CARD,
+        paper_bgcolor=CARD,
+        margin=dict(l=40, b=40, t=20, r=20),
+        hovermode='closest',
+    )
+    fig.update_xaxes(title=xaxis_col, type='linear' if xaxis_type == 'Linear' else 'log')
+    fig.update_yaxes(title=yaxis_col, type='linear' if yaxis_type == 'Linear' else 'log')
+    return fig
+
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/demos/callbacks/04_state_button.py b/investments-dashboard/demos/callbacks/04_state_button.py
new file mode 100644
index 0000000..81de034
--- /dev/null
+++ b/investments-dashboard/demos/callbacks/04_state_button.py
@@ -0,0 +1,118 @@
+from dash import Dash, dcc, html, Input, Output, State, callback
+
+BG = '#0f1117'
+CARD = '#1a1d27'
+BORDER = '#2d3148'
+TEXT = '#e2e8f0'
+MUTED = '#94a3b8'
+ACCENT = '#7c3aed'
+
+app = Dash(__name__)
+
+input_style = {
+    'backgroundColor': CARD,
+    'border': f'1px solid {BORDER}',
+    'borderRadius': '6px',
+    'color': TEXT,
+    'padding': '10px 14px',
+    'fontSize': '15px',
+    'width': '100%',
+    'outline': 'none',
+    'boxSizing': 'border-box',
+    'marginBottom': '12px',
+}
+
+label_style = {
+    'color': MUTED,
+    'fontSize': '11px',
+    'fontWeight': '600',
+    'letterSpacing': '0.08em',
+    'textTransform': 'uppercase',
+    'marginBottom': '6px',
+    'display': 'block',
+}
+
+app.layout = html.Div(style={
+    'backgroundColor': BG,
+    'padding': '48px',
+    'fontFamily': 'Inter, system-ui, sans-serif',
+    'minHeight': '100vh',
+    'maxWidth': '560px',
+    'margin': '0 auto',
+}, children=[
+    html.H2('State vs Input', style={'color': TEXT, 'marginBottom': '4px'}),
+    html.P(
+        'Typing in the fields does nothing. Only clicking Submit fires the callback.',
+        style={'color': MUTED, 'marginBottom': '32px'},
+    ),
+
+    html.Div(style={
+        'backgroundColor': CARD,
+        'border': f'1px solid {BORDER}',
+        'borderRadius': '10px',
+        'padding': '24px',
+        'marginBottom': '16px',
+    }, children=[
+        html.Span('City', style=label_style),
+        dcc.Input(
+            id='input-1-state',
+            type='text',
+            value='Montréal',
+            placeholder='Enter a city',
+            style=input_style,
+        ),
+
+        html.Span('Country', style=label_style),
+        dcc.Input(
+            id='input-2-state',
+            type='text',
+            value='Canada',
+            placeholder='Enter a country',
+            style=input_style,
+        ),
+
+        html.Button(
+            'Submit',
+            id='submit-button-state',
+            n_clicks=0,
+            style={
+                'backgroundColor': ACCENT,
+                'color': '#fff',
+                'border': 'none',
+                'borderRadius': '6px',
+                'padding': '10px 24px',
+                'fontSize': '14px',
+                'fontWeight': '600',
+                'cursor': 'pointer',
+                'width': '100%',
+                'marginTop': '4px',
+            },
+        ),
+    ]),
+
+    html.Div(id='output-state', style={
+        'color': TEXT,
+        'fontSize': '15px',
+        'padding': '16px 20px',
+        'backgroundColor': CARD,
+        'border': f'1px solid {BORDER}',
+        'borderRadius': '10px',
+        'minHeight': '56px',
+    }),
+])
+
+
+@callback(
+    Output('output-state', 'children'),
+    Input('submit-button-state', 'n_clicks'),
+    State('input-1-state', 'value'),
+    State('input-2-state', 'value'),
+)
+def update_output(n_clicks, city, country):
+    if n_clicks == 0:
+        return html.Span('Waiting for submission…', style={'color': MUTED})
+    return f'Submitted {n_clicks} time{"s" if n_clicks != 1 else ""}. City: {city}, Country: {country}.'
+
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/demos/interactive-graphing/01_debug_interactions.py b/investments-dashboard/demos/interactive-graphing/01_debug_interactions.py
new file mode 100644
index 0000000..f7f6484
--- /dev/null
+++ b/investments-dashboard/demos/interactive-graphing/01_debug_interactions.py
@@ -0,0 +1,115 @@
+from dash import Dash, dcc, html, Input, Output, callback
+import plotly.express as px
+import pandas as pd
+import json
+
+BG = '#0f1117'
+CARD = '#1a1d27'
+BORDER = '#2d3148'
+TEXT = '#e2e8f0'
+MUTED = '#94a3b8'
+TEMPLATE = 'plotly_dark'
+
+app = Dash(__name__)
+
+df = pd.DataFrame({
+    "x": [1, 2, 1, 2],
+    "y": [1, 2, 3, 4],
+    "customdata": [1, 2, 3, 4],
+    "fruit": ["apple", "apple", "orange", "orange"]
+})
+
+fig = px.scatter(df, x="x", y="y", color="fruit", custom_data=["customdata"],
+                 template=TEMPLATE, color_discrete_map={"apple": "#7c3aed", "orange": "#f97316"})
+fig.update_layout(
+    plot_bgcolor=CARD,
+    paper_bgcolor=CARD,
+    clickmode='event+select',
+    margin=dict(l=40, r=40, t=40, b=40),
+)
+fig.update_traces(marker_size=20)
+
+pre_style = {
+    'backgroundColor': CARD,
+    'border': f'1px solid {BORDER}',
+    'color': TEXT,
+    'borderRadius': '8px',
+    'padding': '12px',
+    'overflowX': 'auto',
+    'fontSize': '12px',
+    'minHeight': '180px',
+}
+
+label_style = {
+    'color': MUTED,
+    'fontSize': '11px',
+    'fontWeight': '600',
+    'letterSpacing': '0.08em',
+    'textTransform': 'uppercase',
+    'marginBottom': '8px',
+}
+
+panel_style = {
+    'flex': 1,
+    'minWidth': 0,
+}
+
+app.layout = html.Div(style={
+    'backgroundColor': BG,
+    'padding': '24px',
+    'fontFamily': 'Inter, system-ui, sans-serif',
+    'minHeight': '100vh',
+}, children=[
+    html.H2('Graph Interaction Data', style={'color': TEXT, 'marginBottom': '4px'}),
+    html.P('Hover, click, select, or zoom the chart to see the interaction data.',
+           style={'color': MUTED, 'marginBottom': '24px'}),
+
+    dcc.Graph(
+        id='basic-interactions',
+        figure=fig,
+        style={'marginBottom': '24px'},
+    ),
+
+    html.Div(style={'display': 'flex', 'gap': '16px'}, children=[
+        html.Div(style=panel_style, children=[
+            html.Div('Hover Data', style=label_style),
+            html.Pre(id='hover-data', style=pre_style),
+        ]),
+        html.Div(style=panel_style, children=[
+            html.Div('Click Data', style=label_style),
+            html.Pre(id='click-data', style=pre_style),
+        ]),
+        html.Div(style=panel_style, children=[
+            html.Div('Selection Data', style=label_style),
+            html.Pre(id='selected-data', style=pre_style),
+        ]),
+        html.Div(style=panel_style, children=[
+            html.Div('Zoom / Relayout Data', style=label_style),
+            html.Pre(id='relayout-data', style=pre_style),
+        ]),
+    ]),
+])
+
+
+@callback(Output('hover-data', 'children'), Input('basic-interactions', 'hoverData'))
+def display_hover(hoverData):
+    return json.dumps(hoverData, indent=2)
+
+
+@callback(Output('click-data', 'children'), Input('basic-interactions', 'clickData'))
+def display_click(clickData):
+    return json.dumps(clickData, indent=2)
+
+
+@callback(Output('selected-data', 'children'), Input('basic-interactions', 'selectedData'))
+def display_selected(selectedData):
+    return json.dumps(selectedData, indent=2)
+
+
+@callback(Output('relayout-data', 'children'), Input('basic-interactions', 'relayoutData'))
+def display_relayout(relayoutData):
+    return json.dumps(relayoutData, indent=2)
+
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/demos/interactive-graphing/02_hover_timeseries.py b/investments-dashboard/demos/interactive-graphing/02_hover_timeseries.py
new file mode 100644
index 0000000..df99904
--- /dev/null
+++ b/investments-dashboard/demos/interactive-graphing/02_hover_timeseries.py
@@ -0,0 +1,183 @@
+from dash import Dash, html, dcc, Input, Output, callback
+import pandas as pd
+import plotly.express as px
+
+BG = '#0f1117'
+CARD = '#1a1d27'
+BORDER = '#2d3148'
+TEXT = '#e2e8f0'
+MUTED = '#94a3b8'
+TEMPLATE = 'plotly_dark'
+
+app = Dash(__name__)
+
+df = pd.read_csv('https://plotly.github.io/datasets/country_indicators.csv')
+
+dropdown_style = {
+    'backgroundColor': CARD,
+    'color': TEXT,
+}
+
+label_style = {
+    'color': MUTED,
+    'fontSize': '11px',
+    'fontWeight': '600',
+    'letterSpacing': '0.08em',
+    'textTransform': 'uppercase',
+    'marginBottom': '6px',
+}
+
+radio_style = {
+    'color': TEXT,
+    'fontSize': '13px',
+}
+
+app.layout = html.Div(style={
+    'backgroundColor': BG,
+    'padding': '24px',
+    'fontFamily': 'Inter, system-ui, sans-serif',
+    'minHeight': '100vh',
+}, children=[
+    html.H2('World Indicators Explorer', style={'color': TEXT, 'marginBottom': '4px'}),
+    html.P('Hover over a country in the scatter plot to see its historical trend.',
+           style={'color': MUTED, 'marginBottom': '20px'}),
+
+    # Controls row
+    html.Div(style={'display': 'flex', 'gap': '24px', 'marginBottom': '16px'}, children=[
+        html.Div(style={'flex': 1}, children=[
+            html.Div('X Axis Indicator', style=label_style),
+            dcc.Dropdown(
+                df['Indicator Name'].unique(),
+                'Fertility rate, total (births per woman)',
+                id='crossfilter-xaxis-column',
+                style=dropdown_style,
+            ),
+            dcc.RadioItems(
+                ['Linear', 'Log'], 'Linear',
+                id='crossfilter-xaxis-type',
+                inline=True,
+                style=radio_style,
+                labelStyle={'marginRight': '12px', 'marginTop': '6px'},
+            ),
+        ]),
+        html.Div(style={'flex': 1}, children=[
+            html.Div('Y Axis Indicator', style=label_style),
+            dcc.Dropdown(
+                df['Indicator Name'].unique(),
+                'Life expectancy at birth, total (years)',
+                id='crossfilter-yaxis-column',
+                style=dropdown_style,
+            ),
+            dcc.RadioItems(
+                ['Linear', 'Log'], 'Linear',
+                id='crossfilter-yaxis-type',
+                inline=True,
+                style=radio_style,
+                labelStyle={'marginRight': '12px', 'marginTop': '6px'},
+            ),
+        ]),
+    ]),
+
+    # Charts row
+    html.Div(style={'display': 'flex', 'gap': '16px'}, children=[
+        html.Div(style={'flex': '0 0 55%'}, children=[
+            dcc.Graph(
+                id='crossfilter-indicator-scatter',
+                hoverData={'points': [{'customdata': 'Japan'}]},
+            ),
+        ]),
+        html.Div(style={'flex': 1}, children=[
+            dcc.Graph(id='x-time-series'),
+            dcc.Graph(id='y-time-series'),
+        ]),
+    ]),
+
+    # Year slider
+    html.Div(style={'marginTop': '8px', 'paddingRight': '24px', 'width': '55%'}, children=[
+        html.Div('Year', style=label_style),
+        dcc.Slider(
+            df['Year'].min(),
+            df['Year'].max(),
+            step=None,
+            id='crossfilter-year--slider',
+            value=df['Year'].max(),
+            marks={str(year): {'label': str(year), 'style': {'color': MUTED, 'fontSize': '11px'}}
+                   for year in df['Year'].unique()},
+        ),
+    ]),
+])
+
+
+@callback(
+    Output('crossfilter-indicator-scatter', 'figure'),
+    Input('crossfilter-xaxis-column', 'value'),
+    Input('crossfilter-yaxis-column', 'value'),
+    Input('crossfilter-xaxis-type', 'value'),
+    Input('crossfilter-yaxis-type', 'value'),
+    Input('crossfilter-year--slider', 'value'))
+def update_scatter(xaxis_col, yaxis_col, xaxis_type, yaxis_type, year):
+    dff = df[df['Year'] == year]
+    fig = px.scatter(
+        x=dff[dff['Indicator Name'] == xaxis_col]['Value'],
+        y=dff[dff['Indicator Name'] == yaxis_col]['Value'],
+        hover_name=dff[dff['Indicator Name'] == yaxis_col]['Country Name'],
+        template=TEMPLATE,
+    )
+    fig.update_traces(
+        customdata=dff[dff['Indicator Name'] == yaxis_col]['Country Name'],
+        marker=dict(size=8, opacity=0.8),
+    )
+    fig.update_xaxes(title=xaxis_col, type='linear' if xaxis_type == 'Linear' else 'log')
+    fig.update_yaxes(title=yaxis_col, type='linear' if yaxis_type == 'Linear' else 'log')
+    fig.update_layout(
+        plot_bgcolor=CARD,
+        paper_bgcolor=CARD,
+        margin=dict(l=40, b=40, t=20, r=20),
+        hovermode='closest',
+    )
+    return fig
+
+
+def create_time_series(dff, axis_type, title):
+    fig = px.scatter(dff, x='Year', y='Value', template=TEMPLATE)
+    fig.update_traces(mode='lines+markers', marker=dict(size=5), line=dict(color='#7c3aed'))
+    fig.update_xaxes(showgrid=False)
+    fig.update_yaxes(type='linear' if axis_type == 'Linear' else 'log')
+    fig.add_annotation(
+        x=0, y=0.85, xanchor='left', yanchor='bottom',
+        xref='paper', yref='paper', showarrow=False, align='left',
+        text=title, font=dict(size=11, color=MUTED),
+    )
+    fig.update_layout(
+        height=225,
+        plot_bgcolor=CARD,
+        paper_bgcolor=CARD,
+        margin=dict(l=20, b=30, r=10, t=10),
+    )
+    return fig
+
+
+@callback(
+    Output('x-time-series', 'figure'),
+    Input('crossfilter-indicator-scatter', 'hoverData'),
+    Input('crossfilter-xaxis-column', 'value'),
+    Input('crossfilter-xaxis-type', 'value'))
+def update_x_timeseries(hoverData, xaxis_col, axis_type):
+    country = hoverData['points'][0]['customdata']
+    dff = df[(df['Country Name'] == country) & (df['Indicator Name'] == xaxis_col)]
+    return create_time_series(dff, axis_type, f'<b>{country}</b><br>{xaxis_col}')
+
+
+@callback(
+    Output('y-time-series', 'figure'),
+    Input('crossfilter-indicator-scatter', 'hoverData'),
+    Input('crossfilter-yaxis-column', 'value'),
+    Input('crossfilter-yaxis-type', 'value'))
+def update_y_timeseries(hoverData, yaxis_col, axis_type):
+    country = hoverData['points'][0]['customdata']
+    dff = df[(df['Country Name'] == country) & (df['Indicator Name'] == yaxis_col)]
+    return create_time_series(dff, axis_type, yaxis_col)
+
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/demos/interactive-graphing/03_crossfilter.py b/investments-dashboard/demos/interactive-graphing/03_crossfilter.py
new file mode 100644
index 0000000..70663b9
--- /dev/null
+++ b/investments-dashboard/demos/interactive-graphing/03_crossfilter.py
@@ -0,0 +1,111 @@
+from dash import Dash, dcc, html, Input, Output, callback
+import numpy as np
+import pandas as pd
+import plotly.express as px
+
+BG = '#0f1117'
+CARD = '#1a1d27'
+BORDER = '#2d3148'
+TEXT = '#e2e8f0'
+MUTED = '#94a3b8'
+ACCENT = '#7c3aed'
+TEMPLATE = 'plotly_dark'
+
+app = Dash(__name__)
+
+np.random.seed(0)
+df = pd.DataFrame({"Col " + str(i + 1): np.random.rand(30) for i in range(6)})
+
+
+def get_figure(df, x_col, y_col, selectedpoints, selectedpoints_local):
+    if selectedpoints_local and selectedpoints_local.get("range"):
+        ranges = selectedpoints_local["range"]
+        selection_bounds = {
+            "x0": ranges["x"][0], "x1": ranges["x"][1],
+            "y0": ranges["y"][0], "y1": ranges["y"][1],
+        }
+    else:
+        selection_bounds = {
+            "x0": np.min(df[x_col]), "x1": np.max(df[x_col]),
+            "y0": np.min(df[y_col]), "y1": np.max(df[y_col]),
+        }
+
+    fig = px.scatter(df, x=df[x_col], y=df[y_col], text=df.index, template=TEMPLATE)
+    fig.update_traces(
+        selectedpoints=selectedpoints,
+        customdata=df.index,
+        mode="markers+text",
+        marker={"color": ACCENT, "size": 16, "opacity": 0.9},
+        unselected={
+            "marker": {"opacity": 0.15, "color": MUTED},
+            "textfont": {"color": "rgba(0,0,0,0)"},
+        },
+        selected={
+            "marker": {"color": ACCENT, "opacity": 1.0},
+        },
+        textfont={"size": 9, "color": MUTED},
+    )
+    fig.update_layout(
+        plot_bgcolor=CARD,
+        paper_bgcolor=CARD,
+        margin={"l": 20, "r": 10, "b": 20, "t": 30},
+        dragmode="select",
+        hovermode=False,
+        newselection_mode="gradual",
+        xaxis_title=x_col,
+        yaxis_title=y_col,
+    )
+    fig.add_shape(dict(
+        type="rect",
+        line={"width": 1, "dash": "dot", "color": MUTED},
+        **selection_bounds,
+    ))
+    return fig
+
+
+app.layout = html.Div(style={
+    'backgroundColor': BG,
+    'padding': '24px',
+    'fontFamily': 'Inter, system-ui, sans-serif',
+    'minHeight': '100vh',
+}, children=[
+    html.H2('Crossfilter', style={'color': TEXT, 'marginBottom': '4px'}),
+    html.P('Lasso or box-select points in any chart — the selection filters across all three.',
+           style={'color': MUTED, 'marginBottom': '24px'}),
+
+    html.Div(style={'display': 'flex', 'gap': '16px'}, children=[
+        dcc.Graph(id='g1', config={'displayModeBar': True, 'modeBarButtonsToKeep': ['select2d', 'lasso2d']},
+                  style={'flex': 1}),
+        dcc.Graph(id='g2', config={'displayModeBar': True, 'modeBarButtonsToKeep': ['select2d', 'lasso2d']},
+                  style={'flex': 1}),
+        dcc.Graph(id='g3', config={'displayModeBar': True, 'modeBarButtonsToKeep': ['select2d', 'lasso2d']},
+                  style={'flex': 1}),
+    ]),
+])
+
+
+@callback(
+    Output('g1', 'figure'),
+    Output('g2', 'figure'),
+    Output('g3', 'figure'),
+    Input('g1', 'selectedData'),
+    Input('g2', 'selectedData'),
+    Input('g3', 'selectedData'),
+)
+def update_charts(sel1, sel2, sel3):
+    selectedpoints = df.index
+    for sel in [sel1, sel2, sel3]:
+        if sel and sel['points']:
+            selectedpoints = np.intersect1d(
+                selectedpoints,
+                [p['customdata'] for p in sel['points']]
+            )
+    return [
+        get_figure(df, 'Col 1', 'Col 2', selectedpoints, sel1),
+        get_figure(df, 'Col 3', 'Col 4', selectedpoints, sel2),
+        get_figure(df, 'Col 5', 'Col 6', selectedpoints, sel3),
+    ]
+
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/demos/layout/01_hello_dash.py b/investments-dashboard/demos/layout/01_hello_dash.py
new file mode 100644
index 0000000..61f68ae
--- /dev/null
+++ b/investments-dashboard/demos/layout/01_hello_dash.py
@@ -0,0 +1,54 @@
+from dash import Dash, html, dcc
+import plotly.express as px
+import pandas as pd
+
+BG = '#0f1117'
+CARD = '#1a1d27'
+BORDER = '#2d3148'
+TEXT = '#e2e8f0'
+MUTED = '#94a3b8'
+TEMPLATE = 'plotly_dark'
+
+app = Dash(__name__)
+
+df = pd.DataFrame({
+    "Fruit": ["Apples", "Oranges", "Bananas", "Apples", "Oranges", "Bananas"],
+    "Amount": [4, 1, 2, 2, 4, 5],
+    "City": ["SF", "SF", "SF", "Montreal", "Montreal", "Montreal"],
+})
+
+fig = px.bar(df, x="Fruit", y="Amount", color="City", barmode="group", template=TEMPLATE)
+fig.update_layout(plot_bgcolor=CARD, paper_bgcolor=CARD, margin=dict(l=40, r=40, t=40, b=40))
+
+app.layout = html.Div(style={
+    'backgroundColor': BG,
+    'padding': '32px',
+    'fontFamily': 'Inter, system-ui, sans-serif',
+    'minHeight': '100vh',
+}, children=[
+    html.H1('Hello Dash', style={'color': TEXT, 'marginBottom': '4px'}),
+
+    html.Div('Dash: A web application framework for your data.', style={
+        'color': MUTED,
+        'fontSize': '15px',
+        'marginBottom': '24px',
+    }),
+
+    dcc.Graph(id='example-graph', figure=fig),
+
+    html.P(
+        '✏️  Try editing the H1 title above in the code, save the file, and watch the browser update automatically.',
+        style={
+            'color': MUTED,
+            'fontSize': '12px',
+            'marginTop': '16px',
+            'border': f'1px solid {BORDER}',
+            'borderRadius': '6px',
+            'padding': '10px 14px',
+            'backgroundColor': CARD,
+        },
+    ),
+])
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/demos/layout/02_styled_layout.py b/investments-dashboard/demos/layout/02_styled_layout.py
new file mode 100644
index 0000000..25c3a2e
--- /dev/null
+++ b/investments-dashboard/demos/layout/02_styled_layout.py
@@ -0,0 +1,47 @@
+from dash import Dash, dcc, html
+import plotly.express as px
+import pandas as pd
+
+# style dict — the pattern from the docs, upgraded to our palette
+colors = {
+    'background': '#0f1117',
+    'card': '#1a1d27',
+    'text': '#e2e8f0',
+    'muted': '#94a3b8',
+    'accent': '#7c3aed',
+}
+
+app = Dash(__name__)
+
+df = pd.DataFrame({
+    "Fruit": ["Apples", "Oranges", "Bananas", "Apples", "Oranges", "Bananas"],
+    "Amount": [4, 1, 2, 2, 4, 5],
+    "City": ["SF", "SF", "SF", "Montreal", "Montreal", "Montreal"],
+})
+
+fig = px.bar(df, x="Fruit", y="Amount", color="City", barmode="group", template='plotly_dark')
+fig.update_layout(
+    plot_bgcolor=colors['card'],
+    paper_bgcolor=colors['card'],
+    font_color=colors['text'],
+    margin=dict(l=40, r=40, t=40, b=40),
+)
+
+app.layout = html.Div(
+    style={'backgroundColor': colors['background'], 'padding': '32px',
+           'fontFamily': 'Inter, system-ui, sans-serif', 'minHeight': '100vh'},
+    children=[
+        html.H1(
+            'Hello Dash',
+            style={'textAlign': 'center', 'color': colors['accent']},
+        ),
+        html.Div(
+            'Dash: A web application framework for your data.',
+            style={'textAlign': 'center', 'color': colors['muted'], 'marginBottom': '24px'},
+        ),
+        dcc.Graph(id='example-graph-2', figure=fig),
+    ],
+)
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/demos/layout/03_core_components.py b/investments-dashboard/demos/layout/03_core_components.py
new file mode 100644
index 0000000..b385345
--- /dev/null
+++ b/investments-dashboard/demos/layout/03_core_components.py
@@ -0,0 +1,109 @@
+from dash import Dash, html, dcc
+
+BG = '#0f1117'
+CARD = '#1a1d27'
+BORDER = '#2d3148'
+TEXT = '#e2e8f0'
+MUTED = '#94a3b8'
+ACCENT = '#7c3aed'
+
+app = Dash(__name__)
+
+label_style = {
+    'color': MUTED,
+    'fontSize': '11px',
+    'fontWeight': '700',
+    'letterSpacing': '0.08em',
+    'textTransform': 'uppercase',
+    'marginBottom': '8px',
+    'marginTop': '20px',
+    'display': 'block',
+}
+
+section_style = {
+    'backgroundColor': CARD,
+    'border': f'1px solid {BORDER}',
+    'borderRadius': '10px',
+    'padding': '20px 24px',
+    'flex': 1,
+    'minWidth': 0,
+}
+
+app.layout = html.Div(style={
+    'backgroundColor': BG,
+    'padding': '32px',
+    'fontFamily': 'Inter, system-ui, sans-serif',
+    'minHeight': '100vh',
+}, children=[
+    html.H2('Core Components', style={'color': TEXT, 'marginBottom': '4px'}),
+    html.P('Every dcc component is declared entirely through keyword arguments — fully declarative.',
+           style={'color': MUTED, 'marginBottom': '24px'}),
+
+    html.Div(style={'display': 'flex', 'gap': '16px'}, children=[
+
+        # Left column
+        html.Div(style=section_style, children=[
+            html.Span('Dropdown', style=label_style),
+            dcc.Dropdown(
+                ['New York City', 'Montréal', 'San Francisco'],
+                'Montréal',
+            ),
+
+            html.Span('Multi-Select Dropdown', style=label_style),
+            dcc.Dropdown(
+                ['New York City', 'Montréal', 'San Francisco'],
+                ['Montréal', 'San Francisco'],
+                multi=True,
+            ),
+
+            html.Span('Radio Items', style=label_style),
+            dcc.RadioItems(
+                ['New York City', 'Montréal', 'San Francisco'],
+                'Montréal',
+                labelStyle={'color': TEXT, 'marginRight': '12px', 'fontSize': '14px'},
+            ),
+        ]),
+
+        # Right column
+        html.Div(style=section_style, children=[
+            html.Span('Checkboxes', style=label_style),
+            dcc.Checklist(
+                ['New York City', 'Montréal', 'San Francisco'],
+                ['Montréal', 'San Francisco'],
+                labelStyle={'color': TEXT, 'marginRight': '12px', 'fontSize': '14px'},
+            ),
+
+            html.Span('Text Input', style=label_style),
+            dcc.Input(
+                value='MTL',
+                type='text',
+                style={
+                    'backgroundColor': BG,
+                    'border': f'1px solid {BORDER}',
+                    'borderRadius': '6px',
+                    'color': TEXT,
+                    'padding': '8px 12px',
+                    'fontSize': '14px',
+                    'outline': 'none',
+                },
+            ),
+
+            html.Span('Slider', style=label_style),
+            dcc.Slider(
+                min=0,
+                max=9,
+                marks={
+                    i: {
+                        'label': f'Label {i}' if i == 1 else str(i),
+                        'style': {'color': MUTED, 'fontSize': '11px'},
+                    }
+                    for i in range(1, 6)
+                },
+                value=5,
+            ),
+        ]),
+    ]),
+])
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/investments-dashboard/pages/__init__.py b/investments-dashboard/pages/__init__.py
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/investments-dashboard/pages/__init__.py
@@ -0,0 +1 @@
+
diff --git a/investments-dashboard/pages/dashboard.py b/investments-dashboard/pages/dashboard.py
new file mode 100644
index 0000000..3fd279a
--- /dev/null
+++ b/investments-dashboard/pages/dashboard.py
@@ -0,0 +1,293 @@
+import dash_mantine_components as dmc
+from dash import dcc, html
+from dash_iconify import DashIconify
+
+from components.charts import create_hypothetical_growth_chart, create_sparkline
+from components.tables import create_fund_facts_table
+from utils.data_loader import get_fund_metrics, df_fund_facts
+
+metrics = get_fund_metrics()
+
+SYMBOLS = ["AAPL", "GOOGL", "MSFT", "AMZN", "TSLA"]
+INITIAL_PRICES = {"AAPL": 189.50, "GOOGL": 176.30, "MSFT": 420.15, "AMZN": 185.60, "TSLA": 178.90}
+
+def create_kpi_card(id_prefix, title, value, trend=None, trend_positive=True, subtitle=None, icon=None):
+    """Create a KPI card with IDs for callback updates"""
+    trend_color = "teal" if trend_positive else "red"
+    
+    return dmc.Paper(
+        dmc.Stack([
+            dmc.Group([
+                dmc.Text(title, size="sm", c="dimmed", fw=500, id=f"{id_prefix}-title"),
+                DashIconify(icon=icon, width=20, color="gray") if icon else None,
+            ], justify="space-between"),
+            dmc.Group([
+                dmc.Text(value, size="xl", fw=700, id=f"{id_prefix}-value"),
+                dmc.Text(
+                    trend if trend else "", 
+                    size="sm", 
+                    c=trend_color, 
+                    fw=500, 
+                    id=f"{id_prefix}-trend",
+                    style={"display": "block" if trend else "none"}
+                ),
+            ], justify="space-between", mt="xs"),
+            dmc.Text(subtitle, size="xs", c="dimmed", mt=4, id=f"{id_prefix}-subtitle") if subtitle else None,
+        ], gap="xs"),
+        p="md",
+        radius="md",
+        withBorder=True,
+        style={"minWidth": "200px"}
+    )
+
+def create_risk_row(id_prefix, label, value, progress_value, color):
+    """Create a risk metric row with IDs for dynamic updates"""
+    return dmc.Group([
+        dmc.Text(label, size="sm", w=100),
+        dmc.Progress(value=progress_value, color=color, size="lg", style={"flex": 1}, id=f"{id_prefix}-bar"),
+        dmc.Text(value, size="sm", fw=500, w=60, id=f"{id_prefix}-value"),
+    ], gap="sm")
+
+layout = dmc.Stack([
+    # Page Header
+    dmc.Group([
+        dmc.Stack([
+            dmc.Title("Executive Dashboard", order=2),
+            dmc.Text("Fund performance overview and key metrics", c="dimmed"),
+        ], gap=4),
+        dmc.Group([
+            dmc.SegmentedControl(
+                id="dashboard-period",
+                data=[
+                    {"value": "1Y", "label": "1Y"},
+                    {"value": "3Y", "label": "3Y"},
+                    {"value": "5Y", "label": "5Y"},
+                    {"value": "10Y", "label": "10Y"},
+                    {"value": "All", "label": "All"},
+                ],
+                value="1Y",
+                size="sm",
+            ),
+            dmc.Select(
+                id="dashboard-fund-select",
+                data=[
+                    {"value": "500", "label": "500 Index Fund Inv"},
+                    {"value": "calibre", "label": "Calibre Index Fund"},
+                ],
+                value="500",
+                w=200,
+            ),
+            dmc.Switch(
+                id="benchmark-toggle",
+                label="Benchmark",
+                checked=True,
+                size="sm",
+            ),
+            dmc.NumberInput(
+                id="investment-amount",
+                value=10000,
+                min=1000,
+                max=1000000,
+                step=1000,
+                prefix="$",
+                thousandSeparator=",",
+                w=130,
+                size="sm",
+            ),
+        ], gap="sm"),
+    ], justify="space-between", mb="lg"),
+    
+    # KPI Cards Row
+    dmc.SimpleGrid([
+        create_kpi_card(
+            "kpi-nav",
+            "Net Asset Value",
+            f"${metrics['nav']:.2f}",
+            trend=f"↑ {metrics['ytd_return']:.1f}% YTD",
+            trend_positive=metrics['ytd_return'] > 0,
+            icon="tabler:currency-dollar"
+        ),
+        create_kpi_card(
+            "kpi-period",
+            "1 Year Return",
+            f"{metrics['1y_return']:.2f}%",
+            subtitle="vs S&P 500",
+            icon="tabler:chart-line"
+        ),
+        create_kpi_card(
+            "kpi-expense",
+            "Expense Ratio",
+            metrics['expense_ratio'],
+            trend="↓ 85% lower",
+            trend_positive=True,
+            subtitle="vs 0.99% category avg",
+            icon="tabler:percentage"
+        ),
+        create_kpi_card(
+            "kpi-category",
+            "Category",
+            metrics['category'],
+            subtitle=metrics['asset_class'],
+            icon="tabler:category"
+        ),
+    ], cols={"base": 1, "sm": 2, "lg": 4}, spacing="md"),
+    
+    # Main Charts Row
+    dmc.Grid([
+        dmc.GridCol([
+            dcc.Store(id="live-streaming", data=True),
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Group([
+                        dmc.Group([
+                            dmc.Text("Live Market Prices", fw=600, size="lg"),
+                            html.Div(
+                                style={
+                                    "width": 8, "height": 8, "borderRadius": "50%",
+                                    "backgroundColor": "#40c057",
+                                    "animation": "pulse 1.5s ease-in-out infinite",
+                                },
+                                id="live-indicator",
+                            ),
+                            dmc.Badge("LIVE", color="green", size="sm", variant="light"),
+                        ], gap="xs"),
+                        dmc.Switch(
+                            id="live-toggle",
+                            label="Stream",
+                            checked=True,
+                            size="sm",
+                        ),
+                    ], justify="space-between"),
+                    dmc.Divider(),
+                    dmc.Stack([
+                        dmc.Group([
+                            dmc.Text(sym, size="sm", fw=600, w=60),
+                            dmc.Text(
+                                f"${INITIAL_PRICES[sym]:.2f}",
+                                size="sm", fw=700, ff="monospace",
+                                id=f"live-price-{sym}",
+                            ),
+                            dmc.Text(
+                                "+0.00 (0.00%)",
+                                size="xs", c="dimmed", ff="monospace",
+                                id=f"live-change-{sym}",
+                            ),
+                        ], justify="space-between")
+                        for sym in SYMBOLS
+                    ], gap="xs"),
+                    dmc.Divider(),
+                    dmc.Select(
+                        id="sparkline-symbol",
+                        data=[{"value": s, "label": s} for s in SYMBOLS],
+                        value="AAPL",
+                        size="xs",
+                        w=120,
+                    ),
+                    dcc.Graph(
+                        id="sparkline-chart",
+                        figure=create_sparkline([INITIAL_PRICES["AAPL"]], "AAPL"),
+                        config={"displayModeBar": False},
+                        style={"height": "120px"},
+                    ),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 7}),
+        
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dcc.Graph(
+                        id="growth-chart",
+                        figure=create_hypothetical_growth_chart(),
+                        config={"displayModeBar": False},
+                        style={"height": "350px"}
+                    ),
+                ]),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 5}),
+    ], gutter="md"),
+    
+    # Fund Facts and Quick Stats Row
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Fund Facts", fw=600, size="lg"),
+                    create_fund_facts_table(df_fund_facts),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 4}),
+        
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Quick Comparison", fw=600, size="lg"),
+                    dmc.SimpleGrid([
+                        dmc.Paper(
+                            dmc.Stack([
+                                dmc.Text("1Y RETURN", size="xs", c="dimmed", fw=600),
+                                dmc.Text(f"{metrics['1y_return']:.2f}%", size="lg", fw=600, id="quick-1y"),
+                                dmc.Text("Fund", size="xs", c="dimmed"),
+                            ], gap=4),
+                            p="sm", radius="sm", withBorder=True,
+                        ),
+                        dmc.Paper(
+                            dmc.Stack([
+                                dmc.Text("3Y RETURN", size="xs", c="dimmed", fw=600),
+                                dmc.Text(f"{metrics['3y_return']:.2f}%", size="lg", fw=600, id="quick-3y"),
+                                dmc.Text("Fund", size="xs", c="dimmed"),
+                            ], gap=4),
+                            p="sm", radius="sm", withBorder=True,
+                        ),
+                        dmc.Paper(
+                            dmc.Stack([
+                                dmc.Text("5Y RETURN", size="xs", c="dimmed", fw=600),
+                                dmc.Text(f"{metrics['5y_return']:.2f}%", size="lg", fw=600, id="quick-5y"),
+                                dmc.Text("Fund", size="xs", c="dimmed"),
+                            ], gap=4),
+                            p="sm", radius="sm", withBorder=True,
+                        ),
+                        dmc.Paper(
+                            dmc.Stack([
+                                dmc.Text("MIN INVESTMENT", size="xs", c="dimmed", fw=600),
+                                dmc.Text(metrics['min_investment'].replace('"', ''), size="lg", fw=600, id="quick-min"),
+                            ], gap=4),
+                            p="sm", radius="sm", withBorder=True,
+                        ),
+                    ], cols=2, spacing="sm"),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 4}),
+        
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Risk Overview", fw=600, size="lg"),
+                    dmc.Stack([
+                        create_risk_row("risk-volatility", "Volatility", "Medium", 45, "blue"),
+                        create_risk_row("risk-beta", "Beta", "1.00", 100, "green"),
+                        create_risk_row("risk-sharpe", "Sharpe Ratio", "0.85", 70, "teal"),
+                        create_risk_row("risk-alpha", "Alpha", "-0.02", 50, "yellow"),
+                    ], gap="md", mt="sm"),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+                h="100%",
+            )
+        ], span={"base": 12, "md": 4}),
+    ], gutter="md"),
+    
+], gap="md")
diff --git a/investments-dashboard/pages/fees.py b/investments-dashboard/pages/fees.py
new file mode 100644
index 0000000..145ef7a
--- /dev/null
+++ b/investments-dashboard/pages/fees.py
@@ -0,0 +1,333 @@
+import dash_mantine_components as dmc
+from dash import dcc, html
+from dash_iconify import DashIconify
+import plotly.graph_objects as go
+
+from components.charts import create_fee_comparison_chart, create_dividend_timeline, CHART_COLORS, CHART_LAYOUT
+from components.tables import create_data_table, create_dividend_table
+from utils.data_loader import (
+    df_expenses, df_minimums, get_dividend_history,
+    df_realized, df_unrealized
+)
+
+dividend_data = get_dividend_history()
+
+def create_fee_waterfall():
+    """Create fee breakdown waterfall chart"""
+    fig = go.Figure(go.Waterfall(
+        orientation="v",
+        measure=["absolute", "relative", "relative", "relative", "total"],
+        x=["Management Fee", "Admin Fee", "12b-1 Fee", "Other", "Total Expense"],
+        y=[0.10, 0.02, 0.00, 0.02, 0],
+        connector={"line": {"color": "rgb(63, 63, 63)"}},
+        decreasing={"marker": {"color": CHART_COLORS['secondary']}},
+        increasing={"marker": {"color": CHART_COLORS['danger']}},
+        totals={"marker": {"color": CHART_COLORS['primary']}},
+        text=["+0.10%", "+0.02%", "+0.00%", "+0.02%", "0.14%"],
+        textposition="outside",
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Expense Ratio Breakdown', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        yaxis={'title': 'Percentage', 'ticksuffix': '%'},
+        showlegend=False,
+    )
+    
+    return fig
+
+def create_cost_impact_chart(initial=10000, years=30):
+    """Show cost impact over time"""
+    year_range = list(range(1, years + 1))
+    
+    fund_values = [initial * (1.07 - 0.0014) ** y for y in year_range]
+    avg_values = [initial * (1.07 - 0.0099) ** y for y in year_range]
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Scatter(
+        x=year_range,
+        y=avg_values,
+        name='Category Avg (0.99%)',
+        line={'color': CHART_COLORS['gray'], 'width': 2},
+    ))
+    
+    fig.add_trace(go.Scatter(
+        x=year_range,
+        y=fund_values,
+        name='This Fund (0.14%)',
+        line={'color': CHART_COLORS['primary'], 'width': 2},
+        fill='tonexty',
+        fillcolor='rgba(34, 139, 230, 0.1)',
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Long-Term Cost Impact (7% annual return)', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        xaxis={'title': 'Years'},
+        yaxis={'title': 'Portfolio Value', 'tickprefix': '$', 'tickformat': ','},
+        legend={'orientation': 'h', 'y': -0.15},
+    )
+    
+    return fig
+
+def create_dividend_calendar():
+    """Create dividend payment calendar visualization"""
+    months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
+    dividends = [0, 0, 0.96, 0, 0, 0.96, 0, 0, 1.13, 0, 0, 1.13]
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Bar(
+        x=months,
+        y=dividends,
+        marker_color=[CHART_COLORS['primary'] if d > 0 else CHART_COLORS['gray'] for d in dividends],
+        text=[f'${d:.2f}' if d > 0 else '' for d in dividends],
+        textposition='outside',
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Dividend Payment Calendar', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        yaxis={'title': 'Dividend per Share', 'tickprefix': '$'},
+        xaxis={'title': 'Month'},
+    )
+    
+    return fig
+
+layout = dmc.Stack([
+    # Page Header
+    dmc.Group([
+        dmc.Stack([
+            dmc.Title("Fees & Distributions", order=2),
+            dmc.Text("Expense analysis, dividend history, and capital gains", c="dimmed"),
+        ], gap=4),
+        dmc.Group([
+        ], gap="sm"),
+    ], justify="space-between", mb="lg"),
+    
+    # Fee Calculator Section
+    dmc.Paper(
+        dmc.Stack([
+            dmc.Text("Fee Impact Calculator", fw=600, size="lg"),
+            dmc.Text("Adjust investment amount and time horizon to see the impact of fees", size="sm", c="dimmed"),
+            dmc.Grid([
+                dmc.GridCol([
+                    dmc.Stack([
+                        dmc.Text("Investment Amount", size="sm", fw=500),
+                        dmc.NumberInput(
+                            id="investment-amount",
+                            value=10000,
+                            min=1000,
+                            max=1000000,
+                            step=1000,
+                            prefix="$",
+                            thousandSeparator=",",
+                            w="100%",
+                        ),
+                    ], gap="xs"),
+                ], span={"base": 12, "sm": 6, "md": 3}),
+                dmc.GridCol([
+                    dmc.Stack([
+                        dmc.Text("Time Horizon (Years)", size="sm", fw=500),
+                        dmc.Slider(
+                            id="time-horizon",
+                            value=10,
+                            min=1,
+                            max=30,
+                            step=1,
+                            marks=[
+                                {"value": 1, "label": "1"},
+                                {"value": 10, "label": "10"},
+                                {"value": 20, "label": "20"},
+                                {"value": 30, "label": "30"},
+                            ],
+                            mt="md",
+                        ),
+                        dmc.Space(h=20),
+                    ], gap="xs"),
+                ], span={"base": 12, "sm": 6, "md": 5}),
+                dmc.GridCol([
+                    dmc.Paper(
+                        dmc.Stack([
+                            dmc.Stack([
+                                dmc.Text("Your Savings", size="xs", c="dimmed", tt="uppercase", fw=500),
+                                dmc.Text("$1,913", size="28px", fw=700, c="teal", id="savings-amount"),
+                                dmc.Text("vs category average", size="xs", c="dimmed"),
+                            ], gap=2, align="center"),
+                            dmc.Divider(),
+                            dmc.Group([
+                                dmc.Stack([
+                                    dmc.Text("This Fund", size="xs", c="dimmed"),
+                                    dmc.Text("$19,672", size="lg", fw=600, c="teal", id="final-value-fund"),
+                                ], gap=2, align="center"),
+                                dmc.Divider(orientation="vertical", h=40),
+                                dmc.Stack([
+                                    dmc.Text("Category Avg", size="xs", c="dimmed"),
+                                    dmc.Text("$17,759", size="lg", fw=600, c="gray", id="final-value-avg"),
+                                ], gap=2, align="center"),
+                            ], justify="center", gap="xl"),
+                        ], gap="sm"),
+                        p="md",
+                        radius="md",
+                        bg="var(--mantine-color-gray-0)",
+                        style={"border": "1px dashed var(--mantine-color-gray-4)"},
+                    ),
+                ], span={"base": 12, "md": 4}),
+            ], gutter="md", align="center"),
+        ], gap="md"),
+        p="md",
+        radius="md",
+        withBorder=True,
+    ),
+    
+    # Fee Highlight Cards
+    dmc.SimpleGrid([
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Expense Ratio", size="sm", c="dimmed"),
+                dmc.Group([
+                    dmc.Text("0.14%", size="xl", fw=700, c="green"),
+                    dmc.Badge("85% below avg", color="green", size="sm"),
+                ], gap="sm"),
+                dmc.Text("Category average: 0.99%", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Distribution Yield", size="sm", c="dimmed"),
+                dmc.Text("1.77%", size="xl", fw=700),
+                dmc.Text("Annual yield based on distributions", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("SEC Yield", size="sm", c="dimmed"),
+                dmc.Text("1.77%", size="xl", fw=700),
+                dmc.Text("30-day SEC yield", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Annual Fee", size="sm", c="dimmed"),
+                dmc.Text("$14", size="xl", fw=700, c="green"),
+                dmc.Text("Per $10,000 invested", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+    ], cols={"base": 2, "md": 4}, spacing="md"),
+    
+    # Fee Charts Row
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dcc.Graph(
+                    id="fee-comparison-chart",
+                    figure=create_fee_comparison_chart(),
+                    config={"displayModeBar": False},
+                    style={"height": "350px"}
+                ),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+        
+        dmc.GridCol([
+            dmc.Paper(
+                dcc.Graph(
+                    figure=create_fee_waterfall(),
+                    config={"displayModeBar": False},
+                    style={"height": "350px"}
+                ),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+    ], gutter="md"),
+    
+    # Long-term Cost Impact
+    dmc.Paper(
+        dcc.Graph(
+            id="cost-impact-chart",
+            figure=create_cost_impact_chart(),
+            config={"displayModeBar": False},
+            style={"height": "350px"}
+        ),
+        p="md",
+        radius="md",
+        withBorder=True,
+    ),
+    
+    # Distributions Section
+    dmc.Title("Distributions", order=3, mt="lg"),
+    
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dcc.Graph(
+                    figure=create_dividend_calendar(),
+                    config={"displayModeBar": False},
+                    style={"height": "300px"}
+                ),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+        
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Recent Distributions", fw=600, size="lg"),
+                    create_data_table(dividend_data.head(5)),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+    ], gutter="md"),
+    
+    # Capital Gains Section
+    dmc.Title("Capital Gains", order=3, mt="lg"),
+    
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Realized Gains", fw=600, size="lg"),
+                    create_data_table(df_realized),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+        
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Unrealized Appreciation", fw=600, size="lg"),
+                    create_data_table(df_unrealized),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+    ], gutter="md"),
+    
+], gap="md")
diff --git a/investments-dashboard/pages/performance.py b/investments-dashboard/pages/performance.py
new file mode 100644
index 0000000..28ccb3c
--- /dev/null
+++ b/investments-dashboard/pages/performance.py
@@ -0,0 +1,364 @@
+import dash_mantine_components as dmc
+from dash import dcc, html
+from dash_iconify import DashIconify
+import plotly.graph_objects as go
+
+from components.charts import create_performance_line_chart, CHART_COLORS, CHART_LAYOUT
+from utils.data_loader import (
+    get_time_series_data, get_returns_data, 
+    df_current_prices, df_avg_returns, df_after_tax, df_recent_returns
+)
+
+ts_data = get_time_series_data()
+returns_data = get_returns_data()
+
+def create_returns_table(df):
+    """Create properly formatted returns table from raw CSV data"""
+    data = df.values.tolist()
+    
+    if len(data) < 2:
+        return dmc.Text("No data available", c="dimmed")
+    
+    headers = [str(h).replace("'-", "").strip() or "Fund" for h in data[0]]
+    rows_data = data[1:]
+    
+    header = dmc.TableThead(
+        dmc.TableTr([
+            dmc.TableTh(col, style={'fontWeight': 600, 'fontSize': '13px'}) for col in headers
+        ])
+    )
+    
+    rows = []
+    for row in rows_data:
+        cells = []
+        for i, val in enumerate(row):
+            val_str = str(val).replace("'-", "—").strip()
+            style = {'fontSize': '13px'}
+            
+            if '%' in val_str and val_str not in ['—', '']:
+                try:
+                    num = float(val_str.replace('%', ''))
+                    style['color'] = '#40c057' if num > 0 else '#fa5252' if num < 0 else None
+                    style['fontWeight'] = 500
+                except:
+                    pass
+            
+            if i == 0:
+                style['fontWeight'] = 500
+            
+            cells.append(dmc.TableTd(val_str if val_str else "—", style=style))
+        rows.append(dmc.TableTr(cells))
+    
+    body = dmc.TableTbody(rows)
+    
+    return dmc.ScrollArea(
+        dmc.Table(
+            [header, body],
+            striped=True,
+            highlightOnHover=True,
+            withTableBorder=True,
+            withColumnBorders=False,
+            verticalSpacing="xs",
+        ),
+        type="auto"
+    )
+
+def create_drawdown_chart(df):
+    """Calculate and plot drawdown"""
+    prices = df['Calibre Index Fund'].values
+    peak = prices[0]
+    drawdowns = []
+    
+    for price in prices:
+        if price > peak:
+            peak = price
+        drawdown = (price - peak) / peak * 100
+        drawdowns.append(drawdown)
+    
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(
+        x=df['Date'],
+        y=drawdowns,
+        fill='tozeroy',
+        line={'color': CHART_COLORS['danger'], 'width': 1},
+        fillcolor='rgba(250, 82, 82, 0.2)',
+        name='Drawdown',
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Drawdown Analysis', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        yaxis={'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)', 'ticksuffix': '%'},
+        showlegend=False,
+    )
+    return fig
+
+initial_total_return = ((ts_data['Calibre Index Fund'].iloc[-1] - ts_data['Calibre Index Fund'].iloc[0]) / ts_data['Calibre Index Fund'].iloc[0] * 100)
+
+layout = dmc.Stack([
+    # Page Header
+    dmc.Stack([
+        dmc.Group([
+            dmc.Stack([
+                dmc.Title("Price Performance", order=2),
+                dmc.Text("Historical prices, returns analysis, and benchmark comparison", c="dimmed"),
+            ], gap=4),
+        ], justify="space-between"),
+        
+        # Filter Row
+        dmc.Paper(
+            dmc.Group([
+                dmc.Group([
+                    dmc.Text("Period", size="xs", fw=500, c="dimmed"),
+                    dmc.SegmentedControl(
+                        id="performance-period",
+                        data=["1M", "3M", "6M", "1Y", "3Y", "5Y", "All"],
+                        value="All",
+                        size="xs",
+                    ),
+                ], gap=6),
+                dmc.Divider(orientation="vertical", style={"alignSelf": "stretch"}),
+                dmc.Group([
+                    dmc.Text("Benchmarks", size="xs", fw=500, c="dimmed"),
+                    dmc.MultiSelect(
+                        id="benchmark-selector",
+                        data=[
+                            {"value": "calibre", "label": "Calibre Index Fund"},
+                            {"value": "msci", "label": "MSCI EAFE Index"},
+                            {"value": "sp500", "label": "S&P 500"},
+                        ],
+                        value=["calibre", "msci", "sp500"],
+                        w=220,
+                        clearable=True,
+                        size="xs",
+                    ),
+                ], gap=6),
+                dmc.Divider(orientation="vertical", style={"alignSelf": "stretch"}),
+                dmc.Group([
+                    dmc.Text("Display", size="xs", fw=500, c="dimmed"),
+                    dmc.Switch(
+                        id="normalize-toggle",
+                        label="Normalize",
+                        checked=True,
+                        size="xs",
+                    ),
+                    dmc.Switch(
+                        id="log-scale-toggle",
+                        label="Log Scale",
+                        checked=False,
+                        size="xs",
+                    ),
+                ], gap=8),
+                dmc.Divider(orientation="vertical", style={"alignSelf": "stretch"}),
+                dmc.Group([
+                    dmc.Text("Overlay", size="xs", fw=500, c="dimmed"),
+                    dmc.Select(
+                        id="ma-selector",
+                        data=[
+                            {"value": "none", "label": "No MA"},
+                            {"value": "20", "label": "20-day"},
+                            {"value": "50", "label": "50-day"},
+                            {"value": "200", "label": "200-day"},
+                        ],
+                        value="none",
+                        w=100,
+                        size="xs",
+                    ),
+                ], gap=6),
+            ], gap="md", align="center"),
+            p="sm",
+            radius="md",
+            withBorder=True,
+        ),
+    ], gap="sm", mb="md"),
+    
+    # 1. Stats Cards Row (TOP)
+    dmc.SimpleGrid([
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Period High", size="sm", c="dimmed"),
+                dmc.Text(
+                    f"${ts_data['Calibre Index Fund'].max():.2f}", 
+                    size="xl", fw=700, c="green",
+                    id="period-high-value"
+                ),
+                dmc.Text(
+                    ts_data.loc[ts_data['Calibre Index Fund'].idxmax(), 'Date'].strftime('%Y-%m-%d'), 
+                    size="xs", c="dimmed",
+                    id="period-high-date"
+                ),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Period Low", size="sm", c="dimmed"),
+                dmc.Text(
+                    f"${ts_data['Calibre Index Fund'].min():.2f}", 
+                    size="xl", fw=700, c="red",
+                    id="period-low-value"
+                ),
+                dmc.Text(
+                    ts_data.loc[ts_data['Calibre Index Fund'].idxmin(), 'Date'].strftime('%Y-%m-%d'), 
+                    size="xs", c="dimmed",
+                    id="period-low-date"
+                ),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Current Price", size="sm", c="dimmed"),
+                dmc.Text(
+                    f"${ts_data['Calibre Index Fund'].iloc[-1]:.2f}", 
+                    size="xl", fw=700,
+                    id="current-price-value"
+                ),
+                dmc.Text("Latest available", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Total Return", size="sm", c="dimmed"),
+                dmc.Text(
+                    f"{initial_total_return:.1f}%", 
+                    size="xl", fw=700, 
+                    c="green" if initial_total_return > 0 else "red",
+                    id="total-return-value"
+                ),
+                dmc.Text("For selected period", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+    ], cols={"base": 2, "md": 4}, spacing="md"),
+    
+    # 2. Performance Metrics Row (SECOND)
+    dmc.SimpleGrid([
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Volatility (Ann.)", size="sm", c="dimmed"),
+                dmc.Text("0.0%", size="xl", fw=700, id="perf-volatility"),
+                dmc.Text("Std deviation of returns", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Max Drawdown", size="sm", c="dimmed"),
+                dmc.Text("0.0%", size="xl", fw=700, c="red", id="perf-max-drawdown"),
+                dmc.Text("Worst peak-to-trough", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Sharpe Ratio", size="sm", c="dimmed"),
+                dmc.Text("0.00", size="xl", fw=700, id="perf-sharpe"),
+                dmc.Text("Risk-adjusted return", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Best / Worst Day", size="sm", c="dimmed"),
+                dmc.Group([
+                    dmc.Text("+0.0%", size="lg", fw=700, c="green", id="perf-best-day"),
+                    dmc.Text("/", size="lg", c="dimmed"),
+                    dmc.Text("-0.0%", size="lg", fw=700, c="red", id="perf-worst-day"),
+                ], gap=4),
+                dmc.Text("Single-day extremes", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md",
+            radius="md",
+            withBorder=True,
+        ),
+    ], cols={"base": 2, "md": 4}, spacing="md"),
+    
+    # 3. Returns Tables and Analysis Charts Row (THIRD)
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Tabs([
+                        dmc.TabsList([
+                            dmc.TabsTab("Average Returns", value="avg"),
+                            dmc.TabsTab("After Tax", value="tax"),
+                            dmc.TabsTab("Recent Returns", value="recent"),
+                        ]),
+                        dmc.TabsPanel(create_returns_table(df_avg_returns), value="avg", pt="md"),
+                        dmc.TabsPanel(create_returns_table(df_after_tax), value="tax", pt="md"),
+                        dmc.TabsPanel(create_returns_table(df_recent_returns), value="recent", pt="md"),
+                    ], value="avg"),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+        
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Tabs([
+                        dmc.TabsList([
+                            dmc.TabsTab("Drawdown", value="drawdown"),
+                            dmc.TabsTab("Rolling Returns", value="rolling"),
+                        ]),
+                        dmc.TabsPanel(
+                            dcc.Graph(
+                                id="drawdown-chart",
+                                figure=create_drawdown_chart(ts_data),
+                                config={"displayModeBar": False},
+                                style={"height": "300px"}
+                            ),
+                            value="drawdown", pt="md"
+                        ),
+                        dmc.TabsPanel(
+                            dcc.Graph(
+                                id="rolling-returns-chart",
+                                figure=go.Figure(),
+                                config={"displayModeBar": False},
+                                style={"height": "300px"}
+                            ),
+                            value="rolling", pt="md"
+                        ),
+                    ], value="drawdown", id="analysis-tabs"),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+    ], gutter="md"),
+    
+    # 4. Main Performance Chart (BOTTOM)
+    dmc.Paper(
+        dmc.Stack([
+            dcc.Graph(
+                id="performance-chart",
+                figure=create_performance_line_chart(ts_data),
+                config={"displayModeBar": False},
+                style={"height": "400px"}
+            ),
+        ]),
+        p="md",
+        radius="md",
+        withBorder=True,
+    ),
+    
+], gap="md")
diff --git a/investments-dashboard/pages/portfolio.py b/investments-dashboard/pages/portfolio.py
new file mode 100644
index 0000000..557f38e
--- /dev/null
+++ b/investments-dashboard/pages/portfolio.py
@@ -0,0 +1,414 @@
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+from dash import dcc, html
+import plotly.graph_objects as go
+import plotly.express as px
+
+from components.charts import create_sector_donut_chart, CHART_COLORS, CHART_LAYOUT
+from components.tables import create_data_table
+from utils.data_loader import get_sector_allocation, df_equity_char, df_equity_diver
+
+sector_data = get_sector_allocation()
+
+def create_style_box():
+    """Create 3x3 investment style box"""
+    fig = go.Figure()
+    
+    labels = [
+        ['Large Value', 'Large Blend', 'Large Growth'],
+        ['Mid Value', 'Mid Blend', 'Mid Growth'],
+        ['Small Value', 'Small Blend', 'Small Growth']
+    ]
+    
+    for i in range(3):
+        for j in range(3):
+            color = '#228be6' if (i == 0 and j == 1) else '#f1f3f5'
+            opacity = 1 if (i == 0 and j == 1) else 0.5
+            
+            fig.add_shape(
+                type="rect",
+                x0=j, x1=j+1, y0=2-i, y1=3-i,
+                fillcolor=color,
+                opacity=opacity,
+                line={'color': '#dee2e6', 'width': 1},
+            )
+            
+            fig.add_annotation(
+                x=j+0.5, y=2.5-i,
+                text=labels[i][j],
+                showarrow=False,
+                font={'size': 10, 'color': '#fff' if (i == 0 and j == 1) else '#495057'},
+            )
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Investment Style', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        xaxis={'visible': False, 'range': [-0.1, 3.1]},
+        yaxis={'visible': False, 'range': [-0.1, 3.1]},
+        height=300,
+    )
+    
+    return fig
+
+def create_sector_comparison_bar():
+    """Create horizontal bar chart comparing fund vs benchmark sectors"""
+    fig = go.Figure()
+    
+    fig.add_trace(go.Bar(
+        y=sector_data['Sector'],
+        x=sector_data['Fund'],
+        name='Fund',
+        orientation='h',
+        marker_color=CHART_COLORS['primary'],
+    ))
+    
+    fig.add_trace(go.Bar(
+        y=sector_data['Sector'],
+        x=sector_data['Benchmark'],
+        name='Benchmark',
+        orientation='h',
+        marker_color=CHART_COLORS['gray'],
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Sector Allocation vs Benchmark', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        barmode='group',
+        bargap=0.3,
+        legend={'orientation': 'h', 'y': -0.15},
+        xaxis={'title': 'Allocation %', 'ticksuffix': '%'},
+        yaxis={'title': ''},
+        height=450,
+    )
+    
+    return fig
+
+def create_risk_return_scatter():
+    """Create risk/return scatter plot"""
+    funds = ['500 Index Fund', 'MSCI EAFE', 'Growth Fund', 'Value Fund', 'Bond Fund']
+    returns = [16.94, 14.2, 19.5, 12.3, 5.2]
+    risk = [15.2, 18.5, 22.1, 14.8, 6.3]
+    sizes = [100, 80, 60, 70, 50]
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Scatter(
+        x=risk,
+        y=returns,
+        mode='markers+text',
+        marker={'size': sizes, 'color': px.colors.qualitative.Set2[:5], 'opacity': 0.7},
+        text=funds,
+        textposition='top center',
+        hovertemplate='<b>%{text}</b><br>Risk: %{x:.1f}%<br>Return: %{y:.1f}%<extra></extra>'
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Risk vs Return', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        xaxis={'title': 'Risk (Std Dev %)', 'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)'},
+        yaxis={'title': 'Return %', 'showgrid': True, 'gridcolor': 'rgba(0,0,0,0.05)'},
+        height=350,
+    )
+    
+    return fig
+
+def create_donut_with_click():
+    """Create donut chart configured for click events"""
+    colors = px.colors.qualitative.Set3[:len(sector_data)]
+    
+    fig = go.Figure(go.Pie(
+        labels=sector_data['Sector'],
+        values=sector_data['Fund'],
+        hole=0.6,
+        marker={'colors': colors},
+        textinfo='percent',
+        textposition='outside',
+        hovertemplate='%{label}<br>%{value:.1f}%<extra></extra>'
+    ))
+    
+    fig.update_layout(
+        **CHART_LAYOUT,
+        title={'text': 'Sector Allocation (Click to highlight)', 'x': 0, 'font': {'size': 16, 'weight': 600}},
+        showlegend=True,
+        legend={'orientation': 'v', 'x': 1.05, 'y': 0.5},
+        annotations=[{
+            'text': 'Sectors',
+            'x': 0.5, 'y': 0.5,
+            'font': {'size': 14, 'weight': 600},
+            'showarrow': False
+        }]
+    )
+    
+    return fig
+
+# Allocation View Content
+allocation_view = html.Div([
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dcc.Graph(
+                        id="sector-donut",
+                        figure=create_donut_with_click(),
+                        config={"displayModeBar": False},
+                        style={"height": "400px"}
+                    ),
+                    dmc.Text("Click on a sector to see details", size="sm", c="dimmed", ta="center", id="sector-detail-text"),
+                ]),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+        
+        dmc.GridCol([
+            dmc.Stack([
+                dmc.Paper(
+                    dcc.Graph(
+                        figure=create_style_box(),
+                        config={"displayModeBar": False},
+                    ),
+                    p="md",
+                    radius="md",
+                    withBorder=True,
+                ),
+                dmc.Paper(
+                    dmc.Stack([
+                        dmc.Text("Portfolio Style Summary", fw=600),
+                        dmc.Group([
+                            dmc.Badge("Large Cap", color="blue", size="lg"),
+                            dmc.Badge("Blend", color="gray", size="lg"),
+                            dmc.Badge("Domestic", color="green", size="lg"),
+                        ]),
+                        dmc.Text(
+                            "This fund tracks the S&P 500 Index, providing broad exposure to large-cap U.S. equities across value, blend, and growth styles.",
+                            size="sm", c="dimmed", mt="xs"
+                        ),
+                    ], gap="sm"),
+                    p="md",
+                    radius="md",
+                    withBorder=True,
+                ),
+            ], gap="md"),
+        ], span={"base": 12, "md": 6}),
+    ], gutter="md"),
+    
+    dmc.Paper(
+        dcc.Graph(
+            id="sector-bar-chart",
+            figure=create_sector_comparison_bar(),
+            config={"displayModeBar": False},
+        ),
+        p="md",
+        radius="md",
+        withBorder=True,
+        mt="md",
+    ),
+], id="allocation-view")
+
+# Characteristics View Content
+characteristics_view = html.Div([
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Equity Characteristics", fw=600, size="lg"),
+                    create_data_table(df_equity_char),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+        
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Sector Diversification", fw=600, size="lg"),
+                    create_data_table(df_equity_diver),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+    ], gutter="md"),
+    
+    dmc.Paper(
+        dmc.Stack([
+            dmc.Text("Key Metrics Comparison", fw=600, size="lg"),
+            dmc.SimpleGrid([
+                dmc.Paper(
+                    dmc.Stack([
+                        dmc.Text("P/E Ratio", size="sm", c="dimmed"),
+                        dmc.Text("21.4", size="xl", fw=700),
+                        dmc.Text("vs 22.1 benchmark", size="xs", c="dimmed"),
+                    ], gap=4),
+                    p="md", radius="sm", withBorder=True,
+                ),
+                dmc.Paper(
+                    dmc.Stack([
+                        dmc.Text("P/B Ratio", size="sm", c="dimmed"),
+                        dmc.Text("3.2", size="xl", fw=700),
+                        dmc.Text("vs 3.4 benchmark", size="xs", c="dimmed"),
+                    ], gap=4),
+                    p="md", radius="sm", withBorder=True,
+                ),
+                dmc.Paper(
+                    dmc.Stack([
+                        dmc.Text("Dividend Yield", size="sm", c="dimmed"),
+                        dmc.Text("1.8%", size="xl", fw=700),
+                        dmc.Text("vs 1.7% benchmark", size="xs", c="dimmed"),
+                    ], gap=4),
+                    p="md", radius="sm", withBorder=True,
+                ),
+                dmc.Paper(
+                    dmc.Stack([
+                        dmc.Text("Earnings Growth", size="sm", c="dimmed"),
+                        dmc.Text("12.5%", size="xl", fw=700),
+                        dmc.Text("5-year average", size="xs", c="dimmed"),
+                    ], gap=4),
+                    p="md", radius="sm", withBorder=True,
+                ),
+            ], cols={"base": 2, "md": 4}, spacing="md"),
+        ], gap="sm"),
+        p="md",
+        radius="md",
+        withBorder=True,
+        mt="md",
+    ),
+], id="characteristics-view", style={"display": "none"})
+
+# Risk Analysis View Content
+risk_view = html.Div([
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dcc.Graph(
+                    figure=create_risk_return_scatter(),
+                    config={"displayModeBar": False},
+                    style={"height": "400px"}
+                ),
+                p="md",
+                radius="md",
+                withBorder=True,
+            )
+        ], span={"base": 12, "md": 6}),
+        
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Risk Metrics", fw=600, size="lg"),
+                    dmc.Stack([
+                        dmc.Group([
+                            dmc.Text("Standard Deviation", size="sm", w=150),
+                            dmc.Progress(value=65, color="blue", size="lg", style={"flex": 1}),
+                            dmc.Text("15.2%", size="sm", fw=500, w=60),
+                        ], gap="sm"),
+                        dmc.Group([
+                            dmc.Text("Beta", size="sm", w=150),
+                            dmc.Progress(value=100, color="green", size="lg", style={"flex": 1}),
+                            dmc.Text("1.00", size="sm", fw=500, w=60),
+                        ], gap="sm"),
+                        dmc.Group([
+                            dmc.Text("Sharpe Ratio", size="sm", w=150),
+                            dmc.Progress(value=70, color="teal", size="lg", style={"flex": 1}),
+                            dmc.Text("0.85", size="sm", fw=500, w=60),
+                        ], gap="sm"),
+                        dmc.Group([
+                            dmc.Text("Sortino Ratio", size="sm", w=150),
+                            dmc.Progress(value=75, color="cyan", size="lg", style={"flex": 1}),
+                            dmc.Text("1.12", size="sm", fw=500, w=60),
+                        ], gap="sm"),
+                        dmc.Group([
+                            dmc.Text("Max Drawdown", size="sm", w=150),
+                            dmc.Progress(value=35, color="red", size="lg", style={"flex": 1}),
+                            dmc.Text("-33.8%", size="sm", fw=500, w=60),
+                        ], gap="sm"),
+                        dmc.Group([
+                            dmc.Text("Tracking Error", size="sm", w=150),
+                            dmc.Progress(value=10, color="gray", size="lg", style={"flex": 1}),
+                            dmc.Text("0.04%", size="sm", fw=500, w=60),
+                        ], gap="sm"),
+                    ], gap="md", mt="md"),
+                ], gap="sm"),
+                p="md",
+                radius="md",
+                withBorder=True,
+                h="100%",
+            )
+        ], span={"base": 12, "md": 6}),
+    ], gutter="md"),
+    
+    dmc.Paper(
+        dmc.Stack([
+            dmc.Text("Risk Analysis Summary", fw=600, size="lg"),
+            dmc.Alert(
+                "This fund closely tracks its benchmark (S&P 500) with minimal tracking error. The risk profile is consistent with broad market exposure.",
+                title="Low Tracking Error",
+                color="blue",
+            ),
+            dmc.SimpleGrid([
+                dmc.Paper(
+                    dmc.Stack([
+                        dmc.Text("Upside Capture", size="sm", c="dimmed"),
+                        dmc.Text("99.8%", size="xl", fw=700, c="green"),
+                    ], gap=4),
+                    p="md", radius="sm", withBorder=True,
+                ),
+                dmc.Paper(
+                    dmc.Stack([
+                        dmc.Text("Downside Capture", size="sm", c="dimmed"),
+                        dmc.Text("100.2%", size="xl", fw=700, c="red"),
+                    ], gap=4),
+                    p="md", radius="sm", withBorder=True,
+                ),
+                dmc.Paper(
+                    dmc.Stack([
+                        dmc.Text("Information Ratio", size="sm", c="dimmed"),
+                        dmc.Text("-0.12", size="xl", fw=700),
+                    ], gap=4),
+                    p="md", radius="sm", withBorder=True,
+                ),
+                dmc.Paper(
+                    dmc.Stack([
+                        dmc.Text("R-Squared", size="sm", c="dimmed"),
+                        dmc.Text("99.9%", size="xl", fw=700, c="green"),
+                    ], gap=4),
+                    p="md", radius="sm", withBorder=True,
+                ),
+            ], cols={"base": 2, "md": 4}, spacing="md"),
+        ], gap="md"),
+        p="md",
+        radius="md",
+        withBorder=True,
+        mt="md",
+    ),
+], id="risk-view", style={"display": "none"})
+
+layout = dmc.Stack([
+    # Page Header
+    dmc.Group([
+        dmc.Stack([
+            dmc.Title("Portfolio Analysis", order=2),
+            dmc.Text("Asset allocation, sector breakdown, and portfolio characteristics", c="dimmed"),
+        ], gap=4),
+        dmc.Group([
+            dmc.SegmentedControl(
+                id="portfolio-view",
+                data=[
+                    {"value": "allocation", "label": "Allocation"},
+                    {"value": "characteristics", "label": "Characteristics"},
+                    {"value": "risk", "label": "Risk Analysis"},
+                ],
+                value="allocation",
+            ),
+        ], gap="sm"),
+    ], justify="space-between", mb="lg"),
+    
+    # View Containers
+    allocation_view,
+    characteristics_view,
+    risk_view,
+    
+], gap="md")
diff --git a/investments-dashboard/requirements.txt b/investments-dashboard/requirements.txt
new file mode 100644
index 0000000..634cddf
--- /dev/null
+++ b/investments-dashboard/requirements.txt
@@ -0,0 +1,10 @@
+dash[fastapi]==4.2.0
+dash-mantine-components>=0.14.0
+dash-iconify>=0.1.2
+pandas>=2.0.0
+plotly>=5.18.0
+uvicorn[standard]
+reportlab>=4.0.0
+kaleido==0.2.1
+PyPDF2>=3.0.0
+Pillow>=10.0.0
diff --git a/investments-dashboard/scripts/dash-callbacks-intro.md b/investments-dashboard/scripts/dash-callbacks-intro.md
new file mode 100644
index 0000000..a6e7bca
--- /dev/null
+++ b/investments-dashboard/scripts/dash-callbacks-intro.md
@@ -0,0 +1,102 @@
+# Video Script: Basic Dash Callbacks — Dash Fundamentals Chapter 2
+**Target length:** Under 5 minutes  
+**Format:** Screen recording with voiceover, code running live  
+**Narration word count:** ~510 words (~4 min at 130 wpm + visual pauses)
+
+---
+
+## Beat 1 — Hook `[0:00–0:20]`
+
+**[VISUAL]** Open on the gapminder scatter plot with the year slider. Drag the slider — the chart animates smoothly through decades of data.
+
+**[NARRATION]**
+> "In the last chapter, we built a Dash layout. It looked great — but it didn't do anything. This is what happens when you add callbacks. One slider, one chart, fully connected. Let me show you how it works."
+
+---
+
+## Beat 2 — The Why: Reactive Programming `[0:20–0:55]`
+
+**[VISUAL]** Stay on the gapminder app, or cut to a simple spreadsheet visual.
+
+**[NARRATION]**
+> "The mental model here is a spreadsheet. When you change a cell, every cell that depends on it updates automatically. You don't call a function — the dependency is declared, and the system handles the rest.
+>
+> Dash works exactly the same way. You declare: when this input changes, call this function and put the result in that output. Dash handles the wiring. This is reactive programming — and it's the entire foundation of how Dash apps become interactive."
+
+---
+
+## Beat 3 — Anatomy of a Callback `[0:55–2:10]`
+
+**[VISUAL]** Open the simple text input example in the editor. Highlight each section as you talk through it.
+
+**[NARRATION]**
+> "Let's start with the simplest possible example. A text box and a div — typing in the box updates the div.
+>
+> The layout is what you already know: a `dcc.Input` with an `id`, and an empty `html.Div` with an `id`. No value set on the div — we'll let the callback populate it.
+>
+> Now the callback. The `@callback` decorator is where the wiring happens. `Output` is what you want to update — the `children` property of `my-output`. `Input` is what triggers it — the `value` property of `my-input`.
+>
+> The function underneath receives the current value of the input and returns whatever should go in the output. That's it.
+>
+> A few things worth noting: the `id` in the decorator must match exactly the `id` in your layout. And the decorator has to sit directly above the function — no blank lines between them."
+
+**[VISUAL]** Run the app, type in the text box, show the div updating live.
+
+---
+
+## Beat 4 — Real Demo: Slider → Graph `[2:10–3:05]`
+
+**[VISUAL]** Open the gapminder `app.py`. Highlight the `@callback` and then the function body.
+
+**[NARRATION]**
+> "Now let's look at a real example. The `dcc.Slider` has an `id` of `year-slider`, and its `value` property is the input. The `dcc.Graph` is the output — specifically its `figure` property.
+>
+> Whenever the slider moves, Dash calls `update_figure` with the selected year. The function filters the dataframe down to that year, builds a new Plotly scatter plot, and returns it. Dash puts it in the graph.
+>
+> Notice `fig.update_layout(transition_duration=500)` — that's what gives the smooth animation between years. One line."
+
+---
+
+## Beat 5 — Multiple Inputs `[3:05–3:30]`
+
+**[VISUAL]** Show the multi-input example's `@callback` decorator — 5 inputs listed.
+
+**[NARRATION]**
+> "You're not limited to one input. This example drives a chart from two dropdowns, two radio buttons, and a slider — five inputs, one output.
+>
+> The pattern is the same: just list more `Input` items in the decorator. The callback receives them as positional arguments, in the same order. Any one of them changing triggers the function."
+
+---
+
+## Beat 6 — State `[3:30–4:15]`
+
+**[VISUAL]** Open the State / button example. Show both the `Input` and `State` lines in the decorator.
+
+**[NARRATION]**
+> "Now let's talk about `State`. Sometimes you want to read a value without that value triggering the callback. Classic example: a form with a Submit button.
+>
+> Here, the two text inputs are `State` — Dash reads their values, but typing in them does nothing. The `html.Button` is the `Input` — clicking it fires the callback. Dash passes all the `State` values into the function automatically.
+>
+> The rule is simple: `Input` triggers, `State` reads. Everything else about the function is the same."
+
+---
+
+## Beat 7 — Summary + CTA `[4:15–4:30]`
+
+**[VISUAL]** Quick cut back to the gapminder app with the slider moving.
+
+**[NARRATION]**
+> "Callbacks are the engine of every Dash app. Declare your inputs and outputs, write a Python function, and Dash handles the rest. One input or five, one output or many — the pattern doesn't change.
+>
+> Chapter 3 goes deeper: clicking on charts to drive other charts. Interactive graphing. Link's in the description."
+
+---
+
+## Production Notes
+- Beat 1: actually drag the slider on camera — the animation is the hook
+- Beat 3: slow down here — this is the first time the viewer sees a decorator. Hover over `Output` then `Input` as you name them
+- Beat 3 live demo: type something in the text box slowly, pause so the viewer sees the div react
+- Beat 4: pause after showing `transition_duration=500` — it's a satisfying "one line does this" moment
+- Beat 5: you don't need to run this app — just show the decorator in the editor. The point is the pattern, not the demo
+- Beat 6: live demo here is useful — type in the text boxes, show nothing happens, then click Submit, show it fires
+- Outro card: link to [Dash Fundamentals Part 3: Interactive Graphing](https://dash.plotly.com/docs/interactive-graphing)
diff --git a/investments-dashboard/scripts/dash-interactive-graphing-intro.md b/investments-dashboard/scripts/dash-interactive-graphing-intro.md
new file mode 100644
index 0000000..6cb3006
--- /dev/null
+++ b/investments-dashboard/scripts/dash-interactive-graphing-intro.md
@@ -0,0 +1,90 @@
+# Video Script: Interactive Visualizations — Dash Fundamentals Chapter 3
+**Target length:** Under 5 minutes  
+**Format:** Screen recording with voiceover, code running live  
+**Narration word count:** ~490 words (~3:45–4:00 at 130 wpm + visual pauses)
+
+---
+
+## Beat 1 — Hook `[0:00–0:20]`
+
+**[VISUAL]** World indicators app running — scatter plot on the left, two time series on the right. Slowly move the mouse over different country dots. The time series update in real time with each hover.
+
+**[NARRATION]**
+> "In the last chapter, callbacks reacted to controls — dropdowns, sliders, buttons. This chapter goes further. Here, the chart itself is the input. Hover over a country, and the graphs on the right update instantly. Let me show you how this works."
+
+---
+
+## Beat 2 — The Why: Charts as Inputs `[0:20–0:50]`
+
+**[VISUAL]** Stay on the world indicators app, or briefly show a traditional BI tool for contrast.
+
+**[NARRATION]**
+> "Most charting tools are one-way: data goes in, chart comes out. Dash flips this. Every interaction a user has with a chart — hovering over a point, clicking it, drawing a selection box, zooming — all of that is data you can feed into a callback.
+>
+> This is how you build crossfiltered dashboards and linked charts. Not with a specialized tool — just callbacks."
+
+---
+
+## Beat 3 — The 4 Interactive Properties `[0:50–1:40]`
+
+**[VISUAL]** Show the debug app running. Hover over points, click points, use the lasso tool, zoom — watch the JSON panels update on screen.
+
+**[NARRATION]**
+> "The `dcc.Graph` component has four properties that update through user interaction: `hoverData`, `clickData`, `selectedData`, and `relayoutData`.
+>
+> This debug app prints them live so you can see exactly what you're working with. Hover over a point — `hoverData` gets the coordinates, the point index, and any custom data you attached. Click — same thing in `clickData`. Draw a selection — `selectedData` gives you every point inside the box. Zoom or pan — `relayoutData` captures the new axis ranges.
+>
+> Any of these can be an `Input` in a callback."
+
+---
+
+## Beat 4 — Hover → Time Series `[1:40–3:05]`
+
+**[VISUAL]** Open the world indicators `app.py`. Highlight the scatter callback first, then the `update_x_timeseries` callback.
+
+**[NARRATION]**
+> "Let's look at the hover example. The scatter plot on the left has `id='crossfilter-indicator-scatter'`. The two time series have their own IDs.
+>
+> The key line is here — `hoverData` of the scatter is an `Input`. Whenever the mouse moves to a new point, this callback fires.
+>
+> Now, how does the callback know which country was hovered? That's what `customdata` is for. When building the scatter, we attach the country name to each point with `fig.update_traces(customdata=...)`. Then inside the callback, we pull it out with `hoverData['points'][0]['customdata']`.
+>
+> From there it's just pandas filtering and returning a new figure — the same pattern as Chapter 2, just with hover as the trigger instead of a slider."
+
+**[VISUAL]** Show the `create_time_series` helper function briefly.
+
+> "The `create_time_series` function is a reusable helper — the kind of thing you build once and call from multiple callbacks. Clean Python."
+
+---
+
+## Beat 5 — Crossfilter Pattern `[3:05–3:45]`
+
+**[VISUAL]** Switch to the 3-chart crossfilter app running. Use the lasso tool to select a cluster of points in one chart. Show the other two charts dim the unselected points and update the dashed selection rectangle.
+
+**[NARRATION]**
+> "Here's the crossfilter pattern. Three scatter plots, each with `selectedData` as an input to a shared callback. Select a region in any chart, and all three update — the selected points stay highlighted, everything else fades.
+>
+> The callback takes the intersection of all three selections and rerenders all three figures. The charts are both inputs and outputs at the same time.
+>
+> You don't need a BI tool for this. It's a Python function."
+
+---
+
+## Beat 6 — Summary + CTA `[3:45–4:00]`
+
+**[VISUAL]** Quick cut back to the hover → time series demo.
+
+**[NARRATION]**
+> "Dash charts expose hover, click, selection, and zoom as callback inputs. Same decorator, same Python function — you just use the chart as the trigger instead of a control.
+>
+> Chapter 4 covers something that comes up quickly in real apps: sharing data between callbacks without running the same query twice. Link's in the description."
+
+---
+
+## Production Notes
+- Beat 1: move the mouse slowly and deliberately over 3–4 countries — let the time series settle between moves so the update is clear
+- Beat 3: use the debug app for this beat — it's the best way to show what `hoverData` actually contains; pause on the hover JSON so viewers can read it
+- Beat 4: hover over the `customdata` line in the code and also the `hoverData['points'][0]['customdata']` extraction — this is the non-obvious part
+- Beat 5: start the crossfilter demo with no selection (all bright), then lasso select — the visual contrast of highlighted vs dimmed is the whole story
+- Beat 5: don't walk through the crossfilter code — the running demo is enough; the docs page has the full code for reference
+- Outro card: link to [Dash Fundamentals Part 4: Sharing Data Between Callbacks](https://dash.plotly.com/docs/sharing-data-between-callbacks)
diff --git a/investments-dashboard/scripts/dash-layout-intro.md b/investments-dashboard/scripts/dash-layout-intro.md
new file mode 100644
index 0000000..2ab130e
--- /dev/null
+++ b/investments-dashboard/scripts/dash-layout-intro.md
@@ -0,0 +1,108 @@
+# Video Script: Dash Layout — Dash Fundamentals Chapter 1
+**Target length:** Under 5 minutes  
+**Format:** Screen recording with voiceover, code running live  
+**Narration word count:** ~515 words (~4 min at 130 wpm + visual pauses)
+
+---
+
+## Beat 1 — Hook `[0:00–0:20]`
+
+**[VISUAL]** Open on the finished bar chart app already running at `localhost:8050` — fruits grouped by city, interactive, polished.
+
+**[NARRATION]**
+> "This is a Dash app. Interactive, browser-based, deployable anywhere — and we just built it in about 20 lines of Python. No JavaScript. No HTML files. No CSS from scratch. Let me show you how."
+
+---
+
+## Beat 2 — The Why `[0:20–0:55]`
+
+**[VISUAL]** Briefly show a terminal with pandas output, or a static matplotlib plot — the kind of thing you'd share as a screenshot.
+
+**[NARRATION]**
+> "If you work with data in Python, you've probably hit this wall. You've got a great analysis — a dataframe, a Plotly chart — but getting it in front of someone else means emailing a screenshot or sending a CSV and hoping they run the same environment.
+>
+> Building a proper web app means learning a frontend framework, and suddenly you're context-switching between Python and JavaScript.
+>
+> Dash is the bridge. You stay in Python, and Dash handles the web layer."
+
+---
+
+## Beat 3 — Your First App `[0:55–2:00]`
+
+**[VISUAL]** Open `app.py` in the editor — the bar chart example. Highlight each section as you mention it.
+
+**[NARRATION]**
+> "Let's look at what we're actually writing. Three things happen here.
+>
+> First, we create data — just a standard pandas DataFrame.
+>
+> Then we create a Plotly figure with `px.bar`. Standard Plotly Express.
+>
+> And then comes the Dash part: `app.layout`. This is where you describe what your app looks like — a tree of Python component objects.
+>
+> `html.Div` is a wrapper. `html.H1` is a heading. `dcc.Graph` takes our Plotly figure and renders it as an interactive chart in the browser.
+>
+> Run it with `python app.py`, open localhost:8050, and there it is."
+
+**[VISUAL]** Terminal running, browser opens to the app.
+
+> "Notice `debug=True` — that turns on hot reload. Change the title, save the file — your browser updates instantly. No restart needed."
+
+---
+
+## Beat 4 — Styling with HTML Components `[2:00–2:50]`
+
+**[VISUAL]** Switch to the dark-mode styled app. Show the `style={}` dict in the editor.
+
+**[NARRATION]**
+> "Now let's customize it. Every `dash.html` component maps to an HTML tag, and you control it entirely through Python keyword arguments.
+>
+> The `style` property works like inline HTML styles — except it's a Python dictionary. Keys are camelCase: `textAlign` instead of `text-align`, `backgroundColor` instead of `background-color`. And `class` becomes `className`.
+>
+> That's it. Every HTML attribute you know works the same way, just in Python syntax."
+
+---
+
+## Beat 5 — Core Components `[2:50–3:40]`
+
+**[VISUAL]** Show the components showcase app — dropdowns, sliders, radio items, checkboxes all visible.
+
+**[NARRATION]**
+> "Beyond HTML wrappers, Dash gives you `dash.dcc` — the Dash Core Components. Dropdowns, sliders, radio buttons, text inputs, graphs — all ready to go.
+>
+> These aren't plain HTML. They're React components under the hood, which is why they're interactive out of the box.
+>
+> Everything is declarative. Every option is a keyword argument. And if you ever want to know what's available, just run `help(dcc.Dropdown)` in your Python console — it lists every parameter with a description."
+
+---
+
+## Beat 6 — Reusable Components `[3:40–4:10]`
+
+**[VISUAL]** Show the `generate_table()` function from the table example.
+
+**[NARRATION]**
+> "Here's something that doesn't get talked about enough. Because your layout is Python, you can write functions that generate UI.
+>
+> This function takes a pandas DataFrame and returns a fully-formed HTML table component — no template language, no Jinja, no string interpolation. Just Python.
+>
+> That's the real unlock here: you can compose, loop, and abstract your UI the same way you write any other Python code."
+
+---
+
+## Beat 7 — Summary + CTA `[4:10–4:30]`
+
+**[VISUAL]** Quick cut back to the running bar chart app.
+
+**[NARRATION]**
+> "So: a Dash layout is a tree of Python components. `dash.html` gives you HTML tags. `dash.dcc` gives you interactive components. And because it's all Python, you can compose it like any other code.
+>
+> This is chapter one. The app looks good — but it doesn't do anything yet. In part two, we wire up callbacks to make it actually interactive. Link's in the description."
+
+---
+
+## Production Notes
+- Keep a brisk pace through code — don't read every line, just call out what matters
+- For Beat 3, hover or highlight `app.layout`, `html.Div`, `dcc.Graph` as each is mentioned
+- Hot reload demo in Beat 3: actually make a live edit on screen — change `'Hello Dash'` to something, save, show the browser update
+- Beat 5: interact with the dropdowns and slider briefly to show they work before the narration
+- Outro card: link to [Dash Fundamentals Part 2: Basic Callbacks](https://dash.plotly.com/docs/basic-callbacks)
diff --git a/investments-dashboard/utils/__init__.py b/investments-dashboard/utils/__init__.py
new file mode 100644
index 0000000..dab3080
--- /dev/null
+++ b/investments-dashboard/utils/__init__.py
@@ -0,0 +1 @@
+from .data_loader import *
diff --git a/investments-dashboard/utils/data_loader.py b/investments-dashboard/utils/data_loader.py
new file mode 100644
index 0000000..b09a915
--- /dev/null
+++ b/investments-dashboard/utils/data_loader.py
@@ -0,0 +1,135 @@
+import pandas as pd
+import pathlib
+
+PATH = pathlib.Path(__file__).parent.parent
+DATA_PATH = PATH.joinpath("data").resolve()
+
+def load_csv(filename):
+    return pd.read_csv(DATA_PATH.joinpath(filename))
+
+# Fund data
+df_fund_facts = load_csv("df_fund_facts.csv")
+df_price_perf = load_csv("df_price_perf.csv")
+
+# Price data
+df_current_prices = load_csv("df_current_prices.csv")
+df_hist_prices = load_csv("df_hist_prices.csv")
+df_graph = load_csv("df_graph.csv")
+
+# Returns data
+df_avg_returns = load_csv("df_avg_returns.csv")
+df_after_tax = load_csv("df_after_tax.csv")
+df_recent_returns = load_csv("df_recent_returns.csv")
+
+# Portfolio data
+df_equity_char = load_csv("df_equity_char.csv")
+df_equity_diver = load_csv("df_equity_diver.csv")
+
+# Fees data
+df_expenses = load_csv("df_expenses.csv")
+df_minimums = load_csv("df_minimums.csv")
+
+# Distribution data
+df_dividend = load_csv("df_dividend.csv")
+df_realized = load_csv("df_realized.csv")
+df_unrealized = load_csv("df_unrealized.csv")
+
+def get_time_series_data():
+    """Process df_graph for time series charts"""
+    df = df_graph.copy()
+    df['Date'] = pd.to_datetime(df['Date'])
+    return df
+
+def get_sector_allocation():
+    """Process sector diversification data for charts"""
+    df = df_equity_diver.copy()
+    df.columns = ['Sector', 'Fund', 'Benchmark']
+    df = df.iloc[1:]  # Skip header row
+    df['Fund'] = df['Fund'].str.replace('%', '').astype(float)
+    df['Benchmark'] = df['Benchmark'].apply(lambda x: 0 if x == '—' else float(str(x).replace('%', '')))
+    return df
+
+def get_returns_data():
+    """Process average returns for comparison charts"""
+    df = df_avg_returns.copy()
+    df.columns = ['Entity', '1Y', '3Y', '5Y', '10Y', 'Since_Inception']
+    df = df.iloc[1:]  # Skip header
+    for col in ['1Y', '3Y', '5Y', '10Y']:
+        df[col] = df[col].str.replace('%', '').astype(float)
+    return df
+
+def get_dividend_history():
+    """Process dividend data"""
+    df = df_dividend.copy()
+    df.columns = ['Type', 'Amount', 'Record_Date', 'Reinvest_Date', 
+                  'Payable_Date', 'Reinvest_Price', 'Dist_Yield', 'SEC_Yield']
+    df = df.iloc[1:]  # Skip header
+    return df
+
+def get_fund_metrics():
+    """Extract key fund metrics for KPI cards"""
+    facts = dict(zip(df_fund_facts['label'], df_fund_facts['value']))
+    
+    ts = get_time_series_data()
+    latest_price = ts['Calibre Index Fund'].iloc[-1]
+    first_price = ts['Calibre Index Fund'].iloc[0]
+    ytd_return = ((latest_price - first_price) / first_price) * 100
+    
+    returns = get_returns_data()
+    fund_returns = returns[returns['Entity'].str.contains('500 Index Fund', na=False)].iloc[0]
+    
+    return {
+        'nav': latest_price,
+        'ytd_return': ytd_return,
+        'expense_ratio': facts.get('Expense ratio as of 04/27/2017', '0.14%'),
+        'category': facts.get('Category', 'Large Blend'),
+        'asset_class': facts.get('Asset Class', 'Domestic Stock'),
+        'min_investment': facts.get('Minimum investment', '$3,000'),
+        '1y_return': fund_returns['1Y'],
+        '3y_return': fund_returns['3Y'],
+        '5y_return': fund_returns['5Y'],
+    }
+
+def calculate_risk_metrics(fund_id, period="1Y"):
+    """Calculate risk metrics (volatility, beta, sharpe, alpha) for a fund and period"""
+    ts = get_time_series_data()
+    
+    fund_col = 'Calibre Index Fund'
+    benchmark_col = '"S&amp;P 500 Index, y"'
+    
+    period_days = {"1Y": 252, "3Y": 756, "5Y": 1260, "10Y": 2520, "All": len(ts)}
+    lookback = min(period_days.get(period, 252), len(ts) - 1)
+    
+    data = ts[fund_col].iloc[-lookback:]
+    benchmark = ts[benchmark_col].iloc[-lookback:]
+    
+    returns = data.pct_change().dropna()
+    bench_returns = benchmark.pct_change().dropna()
+    
+    volatility = returns.std() * (252 ** 0.5) * 100
+    
+    covariance = returns.cov(bench_returns)
+    bench_variance = bench_returns.var()
+    beta = covariance / bench_variance if bench_variance > 0 else 1.0
+    
+    excess_return = returns.mean() * 252 - 0.02
+    sharpe = excess_return / (returns.std() * (252 ** 0.5)) if returns.std() > 0 else 0
+    
+    alpha = (returns.mean() * 252) - (0.02 + beta * (bench_returns.mean() * 252 - 0.02))
+    
+    volatility_pct = min(max(volatility / 40 * 100, 10), 100)
+    beta_pct = min(max(beta * 50, 10), 100)
+    sharpe_pct = min(max((sharpe + 1) / 3 * 100, 10), 100)
+    alpha_pct = min(max((alpha * 100 + 5) / 10 * 100, 10), 100)
+    
+    return {
+        'volatility': volatility,
+        'volatility_level': "Low" if volatility < 10 else "Medium" if volatility < 20 else "High",
+        'volatility_pct': volatility_pct,
+        'beta': beta,
+        'beta_pct': beta_pct,
+        'sharpe': sharpe,
+        'sharpe_pct': sharpe_pct,
+        'alpha': alpha * 100,
+        'alpha_pct': alpha_pct,
+    }
diff --git a/investments-dashboard/utils/pdf_export.py b/investments-dashboard/utils/pdf_export.py
new file mode 100644
index 0000000..58373c0
--- /dev/null
+++ b/investments-dashboard/utils/pdf_export.py
@@ -0,0 +1,85 @@
+import copy
+import io
+from datetime import datetime
+
+import plotly.io as pio
+from PIL import Image as PILImage, ImageDraw
+from reportlab.lib import colors
+from reportlab.lib.pagesizes import A4, landscape, portrait
+from reportlab.lib.units import inch
+from reportlab.lib.utils import ImageReader
+from reportlab.pdfgen import canvas
+from PyPDF2 import PdfWriter, PdfReader
+
+
+def figure_to_image_bytes(figure, width=1000, height=600):
+    try:
+        fig = copy.deepcopy(figure)
+        if isinstance(fig, dict):
+            fig.setdefault('layout', {})
+            fig['layout']['paper_bgcolor'] = 'white'
+            fig['layout']['plot_bgcolor'] = 'white'
+        return pio.to_image(fig, format="png", width=width, height=height)
+    except Exception as e:
+        img = PILImage.new("RGB", (width, height), color=(220, 220, 220))
+        draw = ImageDraw.Draw(img)
+        draw.text((width // 2 - 100, height // 2), f"Render failed: {e}", fill="black")
+        buf = io.BytesIO()
+        img.save(buf, format="PNG")
+        return buf.getvalue()
+
+
+def create_pdf_report(figures, titles=None, report_title="Financial Report"):
+    if titles is None:
+        titles = [f"Chart {i + 1}" for i in range(len(figures))]
+
+    portrait_w, portrait_h = portrait(A4)
+    landscape_w, landscape_h = landscape(A4)
+
+    out = io.BytesIO()
+    writer = PdfWriter()
+
+    # Title page
+    p_buf = io.BytesIO()
+    cp = canvas.Canvas(p_buf, pagesize=portrait(A4))
+    cp.setFillColor(colors.HexColor("#2563eb"))
+    cp.rect(0, portrait_h - 2 * inch, portrait_w, 2 * inch, fill=1, stroke=0)
+    cp.setFillColor(colors.white)
+    cp.setFont("Helvetica-Bold", 28)
+    cp.drawCentredString(portrait_w / 2, portrait_h - 1.2 * inch, report_title)
+    cp.setFont("Helvetica", 14)
+    cp.drawCentredString(
+        portrait_w / 2,
+        portrait_h - 1.8 * inch,
+        f"Generated on {datetime.now().strftime('%B %d, %Y')}",
+    )
+    cp.setFillColor(colors.HexColor("#666666"))
+    cp.setFont("Helvetica", 10)
+    cp.drawCentredString(portrait_w / 2, 0.5 * inch, "Confidential — not for redistribution")
+    cp.save()
+    p_buf.seek(0)
+    writer.add_page(PdfReader(p_buf).pages[0])
+
+    # One landscape page per figure
+    for figure, chart_title in zip(figures, titles):
+        fig_img = figure_to_image_bytes(figure)
+        l_buf = io.BytesIO()
+        cl = canvas.Canvas(l_buf, pagesize=landscape(A4))
+        cl.setFillColor(colors.HexColor("#2563eb"))
+        cl.setFont("Helvetica-Bold", 20)
+        cl.drawString(1 * inch, landscape_h - 0.8 * inch, chart_title)
+        img_reader = ImageReader(io.BytesIO(fig_img))
+        chart_w, chart_h = 10 * inch, 6 * inch
+        x = (landscape_w - chart_w) / 2
+        y = (landscape_h - chart_h) / 2 - 0.5 * inch
+        cl.drawImage(img_reader, x, y, width=chart_w, height=chart_h)
+        cl.setFillColor(colors.HexColor("#666666"))
+        cl.setFont("Helvetica", 8)
+        cl.drawCentredString(landscape_w / 2, 0.5 * inch, "CONFIDENTIAL")
+        cl.save()
+        l_buf.seek(0)
+        writer.add_page(PdfReader(l_buf).pages[0])
+
+    writer.write(out)
+    out.seek(0)
+    return out.getvalue()
diff --git a/medical-imaging-demo/.gitignore b/medical-imaging-demo/.gitignore
new file mode 100644
index 0000000..b9c0379
--- /dev/null
+++ b/medical-imaging-demo/.gitignore
@@ -0,0 +1,7 @@
+
+# Dolt database files (added by bd init)
+.dolt/
+*.db
+
+# AgentOps session artifacts
+.agents/
diff --git a/medical-imaging-demo/Procfile b/medical-imaging-demo/Procfile
new file mode 100644
index 0000000..673048e
--- /dev/null
+++ b/medical-imaging-demo/Procfile
@@ -0,0 +1 @@
+web: uvicorn app:server --host 0.0.0.0 --port 8000
diff --git a/medical-imaging-demo/README.md b/medical-imaging-demo/README.md
new file mode 100644
index 0000000..ad12595
--- /dev/null
+++ b/medical-imaging-demo/README.md
@@ -0,0 +1,69 @@
+# VitalSight — Clinical Intelligence Platform
+
+A Plotly Dash demonstration of clinical data visualization, built to mirror the architecture of `dash-financial-report-v2`.
+
+> **IMPORTANT:** All patient data is **synthetic and de-identified**. X-ray images are algorithmically generated grayscale placeholders. This application is for demonstration purposes only and is not intended for clinical use.
+
+## Features
+
+- **Clinical Dashboard** — Census KPIs + live ICU vitals streaming via WebSocket (mirrors the financial app's live stock feed)
+- **Patient Vitals** — Multi-vital time-series with normal-range bands, moving averages, and period selectors
+- **Cohort Explorer** — Crossfilter linked-brushing across 3 biomarker scatter plots (port of the crossfilter demo)
+- **Imaging Workstation** — Interactive X-ray annotation (draw rectangles, lines, circles), window/level controls, AI-assist suggested findings, and radiology report PDF export
+
+## Setup
+
+```bash
+python -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+
+# Generate synthetic data and X-ray images
+python scripts/generate_data.py
+python scripts/generate_xrays.py
+
+# Run the app
+python app.py
+# or for production
+uvicorn app:server --host 0.0.0.0 --port 8000
+```
+
+App runs at http://localhost:8050 (debug) or http://localhost:8000 (uvicorn).
+
+## Project Structure
+
+```
+medical-demo-app/
+├── app.py                  Main entry point
+├── pages/                  One layout module per page
+│   ├── dashboard.py
+│   ├── vitals.py
+│   ├── cohort.py
+│   └── imaging.py
+├── callbacks/              One callback module per page
+│   ├── dashboard.py        Includes live vitals WebSocket
+│   ├── vitals.py
+│   ├── cohort.py
+│   ├── imaging.py
+│   └── export_all.py       PDF export
+├── components/             Reusable Plotly/Mantine components
+│   ├── charts.py
+│   ├── kpi_cards.py
+│   ├── tables.py
+│   └── imaging.py
+├── utils/
+│   ├── data_loader.py
+│   └── pdf_export.py
+├── data/                   Generated CSVs (run generate_data.py)
+├── assets/
+│   ├── styles.css
+│   └── xrays/              Generated X-ray PNGs (run generate_xrays.py)
+└── scripts/
+    ├── generate_data.py
+    └── generate_xrays.py
+```
+
+## Attribution
+
+X-ray image generation is inspired by the NIH ChestX-ray14 dataset structure (CC0 Public Domain).
+NIH Clinical Center: https://nihcc.app.box.com/v/ChestXray-NIHCC
diff --git a/medical-imaging-demo/app.py b/medical-imaging-demo/app.py
new file mode 100644
index 0000000..e1ade1f
--- /dev/null
+++ b/medical-imaging-demo/app.py
@@ -0,0 +1,209 @@
+import dash
+from dash import html, dcc, Input, Output, callback, ctx
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+
+from pages import cohort, imaging
+from callbacks import (
+    cohort    as cohort_callbacks,
+    imaging   as imaging_callbacks,
+    export_all as export_all_callbacks,
+)
+
+app = dash.Dash(
+    __name__,
+    backend="fastapi",
+    suppress_callback_exceptions=True,
+    external_stylesheets=dmc.styles.ALL,
+    title="Medical Imaging Demo",
+)
+server = app.server
+
+
+# ── Header ─────────────────────────────────────────────────────────────────────
+# (label, href, nav_id, leftSection)
+NAV_LINKS = [
+    ("Imaging Workstation", "/imaging", "nav-imaging",
+     DashIconify(icon="tabler:x-ray", width=15)),
+    ("Cohort Explorer", "/cohort", "nav-cohort", None),
+]
+
+_NAV_BTN_STYLES = {
+    "root": {
+        "paddingLeft": 14, "paddingRight": 18,
+        "fontWeight": 500, "height": 34,
+        "fontSize": "13px",
+    },
+}
+
+
+
+def create_header():
+    brand = dmc.Group([
+        html.Img(src="/assets/DE-logo.png", height=36,
+                 style={"opacity": "0.92"}),
+        html.Div(style={
+            "width": "1px", "height": "20px",
+            "backgroundColor": "#d1d5db",
+            "flexShrink": 0,
+        }),
+        dmc.Title("Medical Imaging Demo", order=3,
+                   style={"color": "#1e2433", "letterSpacing": "-0.5px",
+                          "fontSize": "16px", "fontWeight": 600}),
+    ], gap=10, wrap="nowrap", align="center")
+
+    nav_center = dmc.Group([
+        dcc.Link(
+            dmc.Button(
+                label,
+                id=nav_id,
+                leftSection=left,
+                variant="subtle",
+                color="navy",
+                size="sm",
+                radius="md",
+                styles=_NAV_BTN_STYLES,
+            ),
+            href=href,
+            style={"textDecoration": "none"},
+        )
+        for label, href, nav_id, left in NAV_LINKS
+    ], gap=4, wrap="nowrap")
+
+    actions = dmc.Group([
+        html.Div(
+            dmc.Group([
+                DashIconify(icon="tabler:building-hospital", width=12,
+                            color="#6b7280"),
+                dmc.Text("General Hospital", size="xs", fw=500,
+                         style={"color": "#6b7280", "letterSpacing": "0.01em"}),
+                html.Div(style={
+                    "width": "3px", "height": "3px",
+                    "borderRadius": "50%",
+                    "backgroundColor": "#c2c6cc",
+                    "flexShrink": 0,
+                }),
+                dmc.Text("325 beds", size="xs",
+                         style={"color": "#6b7280"}),
+                html.Div(style={
+                    "width": "3px", "height": "3px",
+                    "borderRadius": "50%",
+                    "backgroundColor": "#c2c6cc",
+                    "flexShrink": 0,
+                }),
+                dmc.Text("ICU 25", size="xs", fw=600,
+                         style={"color": "#1e3a8a"}),
+            ], gap=6, wrap="nowrap"),
+            style={
+                "display": "flex", "alignItems": "center",
+                "padding": "4px 12px",
+                "borderRadius": "20px",
+                "backgroundColor": "#eef0f2",
+                "border": "1px solid #e1e3e7",
+            },
+        ),
+        dmc.Tooltip(
+            label="Hide toolbar", withArrow=True,
+            children=dmc.ActionIcon(
+                DashIconify(icon="tabler:layout-navbar-collapse", width=18),
+                id="header-collapse-btn", variant="subtle", color="navy",
+                size="lg",
+            ),
+        ),
+    ], gap="sm", wrap="nowrap", justify="flex-end")
+
+    # Three-column grid: brand | nav (centered) | actions
+    return html.Div(
+        [brand, nav_center, actions],
+        style={
+            "display": "grid",
+            "gridTemplateColumns": "1fr auto 1fr",
+            "alignItems": "center",
+            "height": "100%",
+            "padding": "0 24px",
+            "backgroundColor": "#fcfcfb",
+            "borderBottom": "1px solid #e1e3e7",
+        },
+    )
+
+
+# Floating button (overlays the page) to restore the header once collapsed.
+_EXPAND_STYLE = {"position": "fixed", "top": "10px", "right": "14px",
+                 "zIndex": 3000, "display": "none"}
+
+
+# ── App layout ─────────────────────────────────────────────────────────────────
+app.layout = dmc.MantineProvider(
+    id="mantine-provider",
+    forceColorScheme="light",
+    theme={
+        "primaryColor": "cyan",
+        # Register the imaging "navy" ramp app-wide so the shared header's
+        # navy-colored controls resolve (cohort accents stay on cyan).
+        "colors": {"navy": imaging.NAVY_RAMP},
+        "fontFamily": "Inter, -apple-system, BlinkMacSystemFont, sans-serif",
+    },
+    children=[
+        dcc.Location(id="url", refresh=False),
+        dcc.Download(id="download-pdf-all"),
+        html.Div(id="pdf-status-all", style={"display": "none"}),
+        dmc.AppShell(
+            [
+                dmc.AppShellHeader(create_header()),
+                dmc.AppShellMain(
+                    html.Div(id="page-content", style={"width": "100%"}),
+                ),
+            ],
+            id="app-shell",
+            header={"height": 64},
+            padding=0,
+        ),
+        dmc.Tooltip(
+            label="Show toolbar", withArrow=True,
+            children=dmc.ActionIcon(
+                DashIconify(icon="tabler:layout-navbar-expand", width=18),
+                id="header-expand-btn", variant="filled", color="navy",
+                size="lg", style=_EXPAND_STYLE,
+            ),
+        ),
+    ]
+)
+
+
+# ── Routing ────────────────────────────────────────────────────────────────────
+@callback(
+    Output("page-content", "children"),
+    Input("url", "pathname"),
+)
+def display_page(pathname):
+    # Imaging Workstation is the landing page ("/" and "/imaging").
+    if pathname == "/cohort":
+        return cohort.layout
+    return imaging.layout
+
+
+@callback(
+    [Output(nav_id, "variant") for _, _, nav_id, _ in NAV_LINKS],
+    Input("url", "pathname"),
+)
+def update_nav_active(pathname):
+    hrefs = [href for _, href, _, _ in NAV_LINKS]
+    active = pathname if pathname in hrefs else "/imaging"
+    return ["filled" if active == h else "subtle" for h in hrefs]
+
+
+@callback(
+    Output("app-shell", "header"),
+    Output("header-expand-btn", "style"),
+    Input("header-collapse-btn", "n_clicks"),
+    Input("header-expand-btn", "n_clicks"),
+    prevent_initial_call=True,
+)
+def toggle_header(_collapse, _expand):
+    collapsed = ctx.triggered_id == "header-collapse-btn"
+    return ({"height": 64, "collapsed": collapsed},
+            {**_EXPAND_STYLE, "display": "flex" if collapsed else "none"})
+
+
+if __name__ == "__main__":
+    app.run(debug=True, port=8051)
diff --git a/medical-imaging-demo/assets/DE-logo.png b/medical-imaging-demo/assets/DE-logo.png
new file mode 100644
index 0000000..a037590
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diff --git a/medical-imaging-demo/assets/logo.svg b/medical-imaging-demo/assets/logo.svg
new file mode 100644
index 0000000..1992a54
--- /dev/null
+++ b/medical-imaging-demo/assets/logo.svg
@@ -0,0 +1,9 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 40 40" width="40" height="40">
+  <!-- Heart with pulse line  clinical monitor icon -->
+  <circle cx="20" cy="20" r="19" fill="#0d9488" />
+  <!-- ECG line -->
+  <polyline
+    points="4,22 10,22 13,14 16,30 19,20 21,20 24,16 27,22 36,22"
+    fill="none" stroke="white" stroke-width="2.5"
+    stroke-linecap="round" stroke-linejoin="round"/>
+</svg>
diff --git a/medical-imaging-demo/assets/styles.css b/medical-imaging-demo/assets/styles.css
new file mode 100644
index 0000000..84b5927
--- /dev/null
+++ b/medical-imaging-demo/assets/styles.css
@@ -0,0 +1,86 @@
+/* VitalSight — Clinical Intelligence Platform */
+
+body {
+    font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
+}
+
+/* Light app shell header (cool off-white) */
+.mantine-AppShell-header {
+    background-color: #fcfcfb !important;
+    border-bottom: 1px solid #e1e3e7 !important;
+}
+
+/* Nav button states on light header */
+.mantine-AppShell-header .mantine-Button-root[data-variant="subtle"] {
+    color: #6b7280;
+}
+.mantine-AppShell-header .mantine-Button-root[data-variant="subtle"]:hover {
+    background-color: #eef0f2;
+    color: #1e2433;
+}
+.mantine-AppShell-header .mantine-Button-root[data-variant="filled"] {
+    color: #1e3a8a;
+    background-color: rgba(30, 58, 138, 0.1);
+}
+
+/* Scrollbars */
+::-webkit-scrollbar { width: 7px; height: 7px; }
+::-webkit-scrollbar-track { background: rgba(0,0,0,0.04); border-radius: 4px; }
+::-webkit-scrollbar-thumb { background: rgba(0,0,0,0.18); border-radius: 4px; }
+::-webkit-scrollbar-thumb:hover { background: rgba(0,0,0,0.28); }
+
+/* Modebar */
+.js-plotly-plot .plotly .modebar { top: 4px !important; right: 4px !important; }
+.js-plotly-plot .plotly .modebar-btn { font-size: 13px !important; }
+
+/* Table */
+.mantine-Table-table { font-size: 0.85rem; }
+.mantine-Table-th { background-color: rgba(0,0,0,0.02); }
+
+/* NavLink active */
+.mantine-NavLink-root[data-active="true"] { font-weight: 600; }
+
+/* Paper hover */
+.mantine-Paper-root { transition: box-shadow 0.18s ease; }
+.mantine-Paper-root:hover { box-shadow: 0 2px 10px rgba(0,0,0,0.07); }
+
+/* Pulse animation for live indicator */
+@keyframes pulse {
+    0%, 100% { opacity: 1; transform: scale(1); }
+    50%       { opacity: 0.35; transform: scale(0.85); }
+}
+
+/* Fade-in for KPI cards */
+@keyframes fadeInUp {
+    from { opacity: 0; transform: translateY(8px); }
+    to   { opacity: 1; transform: translateY(0); }
+}
+
+/* Imaging study cards */
+.study-card:hover { border-color: #1e3a8a !important; }
+
+/* Print styles */
+@media print {
+    .mantine-AppShell-header,
+    .mantine-AppShell-navbar,
+    .mantine-Button-root,
+    .mantine-Select-root,
+    .mantine-MultiSelect-root { display: none !important; }
+    .mantine-Paper-root {
+        break-inside: avoid;
+        box-shadow: none !important;
+        border: 1px solid #e2e8f0 !important;
+    }
+}
+
+/* Responsive */
+@media (max-width: 768px) {
+    .mantine-AppShell-navbar { display: none; }
+    .mantine-Container-root { padding: 0.5rem; }
+}
+
+/* Progress bar background */
+.mantine-Progress-root { background-color: rgba(0,0,0,0.05); }
+
+/* Badge */
+.mantine-Badge-root { text-transform: none; }
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diff --git a/medical-imaging-demo/callbacks/__init__.py b/medical-imaging-demo/callbacks/__init__.py
new file mode 100644
index 0000000..ab79d22
--- /dev/null
+++ b/medical-imaging-demo/callbacks/__init__.py
@@ -0,0 +1,3 @@
+from . import cohort
+from . import imaging
+from . import export_all
diff --git a/medical-imaging-demo/callbacks/cohort.py b/medical-imaging-demo/callbacks/cohort.py
new file mode 100644
index 0000000..6aeea74
--- /dev/null
+++ b/medical-imaging-demo/callbacks/cohort.py
@@ -0,0 +1,95 @@
+import numpy as np
+from dash import callback, Input, Output, html, no_update
+import dash_mantine_components as dmc
+
+from components.charts import create_crossfilter_scatter, create_vitals_chart
+from components.tables import create_patient_table
+from utils.data_loader import get_cohort, get_vitals
+
+df = get_cohort()
+N  = len(df)
+
+
+@callback(
+    Output("cf-scatter1", "figure"),
+    Output("cf-scatter2", "figure"),
+    Output("cf-scatter3", "figure"),
+    Output("cf-summary-grid",   "children"),
+    Output("cf-patient-table",  "children"),
+    Input("cf-scatter1", "selectedData"),
+    Input("cf-scatter2", "selectedData"),
+    Input("cf-scatter3", "selectedData"),
+)
+def update_crossfilter(sel1, sel2, sel3):
+    selected = df.index.tolist()
+    for sel in [sel1, sel2, sel3]:
+        if sel and sel.get("points"):
+            pts = np.array([
+                p["customdata"] if "customdata" in p else p["pointIndex"]
+                for p in sel["points"]
+            ])
+            selected = list(np.intersect1d(selected, pts))
+
+    fig1 = create_crossfilter_scatter(df, "age",        "bmi",        selected)
+    fig2 = create_crossfilter_scatter(df, "systolic_bp","ldl",        selected)
+    fig3 = create_crossfilter_scatter(df, "hba1c",      "egfr",       selected)
+
+    sub = df.iloc[selected] if selected else df.iloc[[]]
+    n   = len(sub)
+
+    # Summary cards
+    def _metric(label, val):
+        return dmc.Paper(
+            dmc.Stack([
+                dmc.Text(label, size="xs", c="dimmed"),
+                dmc.Text(str(val), size="lg", fw=700),
+            ], gap=2),
+            p="sm", radius="sm", withBorder=True,
+        )
+
+    cards = [
+        _metric("Selected",     n),
+        _metric("Avg Age",      f"{sub['age'].mean():.0f}" if n else "—"),
+        _metric("Avg BMI",      f"{sub['bmi'].mean():.1f}" if n else "—"),
+        _metric("Avg SysBP",    f"{sub['systolic_bp'].mean():.0f}" if n else "—"),
+        _metric("Avg HbA1c",    f"{sub['hba1c'].mean():.1f}" if n else "—"),
+        _metric("High Risk",    f"{(sub['risk_level']=='High').sum()}" if n else "—"),
+    ]
+
+    # Patient table (capped at 50 for display)
+    if n == 0:
+        table = dmc.Text("No patients match current selection.", size="sm", c="dimmed", ta="center")
+    else:
+        table = create_patient_table(
+            sub.head(50),
+            cols=["patient_id","age","gender","bmi","systolic_bp",
+                  "hba1c","egfr","diagnosis","risk_level"],
+        )
+
+    return fig1, fig2, fig3, cards, table
+
+
+@callback(
+    Output("crossfilter-view", "style"),
+    Output("overview-view",    "style"),
+    Input("cohort-view", "value"),
+)
+def switch_cohort_view(view):
+    show, hide = {}, {"display": "none"}
+    return [show if v == view else hide for v in ("crossfilter", "overview")]
+
+
+@callback(
+    Output("cohort-vitals-trend-chart", "figure"),
+    Input("cohort-vitals-patient",      "value"),
+    Input("cohort-vitals-period",       "value"),
+    Input("cohort-vitals-select",       "value"),
+    Input("cohort-vitals-ref-toggle",   "checked"),
+    Input("cohort-vitals-ma",           "value"),
+)
+def update_cohort_vitals(patient_id, period, vitals, show_ref, ma):
+    vitals = vitals or ["HR", "SpO2"]
+    df = get_vitals(patient_id, period)
+    if df.empty:
+        return {}
+    return create_vitals_chart(df, vitals, show_reference=show_ref, ma_days=ma or "none")
diff --git a/medical-imaging-demo/callbacks/dashboard.py b/medical-imaging-demo/callbacks/dashboard.py
new file mode 100644
index 0000000..2386a8a
--- /dev/null
+++ b/medical-imaging-demo/callbacks/dashboard.py
@@ -0,0 +1,106 @@
+import asyncio
+import random
+
+from dash import callback, ctx, Input, Output, set_props
+
+from components.charts import create_admissions_chart, create_ecg_sparkline
+from utils.data_loader import get_admissions_data
+
+# ── ICU patient state ─────────────────────────────────────────────────────────
+ICU_BASE = {
+    "PT1001": {"hr": 72.0,  "spo2": 98.5, "sbp": 118.0, "dbp": 76.0,  "rr": 14.0},
+    "PT1002": {"hr": 92.0,  "spo2": 96.8, "sbp": 148.0, "dbp": 90.0,  "rr": 18.0},
+    "PT1003": {"hr": 88.0,  "spo2": 93.5, "sbp": 108.0, "dbp": 68.0,  "rr": 21.0},
+    "PT1004": {"hr": 78.0,  "spo2": 99.1, "sbp": 168.0, "dbp": 97.0,  "rr": 16.0},
+    "PT1005": {"hr": 66.0,  "spo2": 98.9, "sbp": 125.0, "dbp": 80.0,  "rr": 13.0},
+}
+PIDS = list(ICU_BASE.keys())
+
+
+def _hr_color(hr):
+    return "#22c55e" if 60 <= hr <= 100 else "#f59e0b" if 50 <= hr <= 120 else "#ef4444"
+
+def _spo2_color(s):
+    return "#22c55e" if s >= 95 else "#f59e0b" if s >= 90 else "#ef4444"
+
+def _bp_color(sbp):
+    return "#22c55e" if sbp <= 140 else "#f59e0b" if sbp <= 160 else "#ef4444"
+
+
+# ── Toggle streaming ──────────────────────────────────────────────────────────
+@callback(
+    Output("live-streaming", "data"),
+    Input("icu-live-toggle", "checked"),
+)
+def toggle_streaming(checked):
+    return checked
+
+
+# ── Admissions chart update ───────────────────────────────────────────────────
+@callback(
+    Output("admissions-chart", "figure"),
+    Input("dashboard-dept",   "value"),
+    Input("dashboard-period", "value"),
+)
+def update_admissions(dept, period):
+    df = get_admissions_data(department=dept, period=period)
+    return create_admissions_chart(df, department=dept)
+
+
+# ── Persistent WebSocket: stream ICU vitals ───────────────────────────────────
+@callback(persistent=True)
+async def stream_patient_vitals():
+    ws = ctx.websocket
+
+    vitals = {pid: dict(v) for pid, v in ICU_BASE.items()}
+    history = {pid: [vitals[pid]["hr"]] for pid in PIDS}
+
+    while not ws.is_shutdown:
+        streaming = await ws.get_prop("live-streaming", "data")
+
+        if streaming:
+            for pid in PIDS:
+                v = vitals[pid]
+                base = ICU_BASE[pid]
+
+                # Mean-reverting Ornstein–Uhlenbeck drift
+                v["hr"]  = max(40,  min(200, round(v["hr"]  + 0.15*(base["hr"] -v["hr"]) + random.gauss(0, 1.2),  1)))
+                v["spo2"]= max(85,  min(100, round(v["spo2"]+ 0.20*(base["spo2"]-v["spo2"])+ random.gauss(0, 0.25), 1)))
+                v["sbp"] = max(70,  min(220, round(v["sbp"] + 0.10*(base["sbp"]-v["sbp"]) + random.gauss(0, 2.0),  1)))
+                v["dbp"] = max(40,  min(130, round(v["dbp"] + 0.10*(base["dbp"]-v["dbp"]) + random.gauss(0, 1.5),  1)))
+                v["rr"]  = max(8,   min(40,  round(v["rr"]  + 0.15*(base["rr"] -v["rr"]) + random.gauss(0, 0.4),   1)))
+
+                history[pid].append(v["hr"])
+                if len(history[pid]) > 40:
+                    history[pid] = history[pid][-40:]
+
+                set_props(f"live-hr-{pid}", {
+                    "children": f"{v['hr']:.0f}",
+                    "style":    {"fontFamily": "monospace", "fontWeight": 700,
+                                 "color": _hr_color(v["hr"])},
+                })
+                set_props(f"live-spo2-{pid}", {
+                    "children": f"{v['spo2']:.1f}%",
+                    "style":    {"fontFamily": "monospace", "fontWeight": 700,
+                                 "color": _spo2_color(v["spo2"])},
+                })
+                set_props(f"live-bp-{pid}", {
+                    "children": f"{int(v['sbp'])}/{int(v['dbp'])}",
+                    "style":    {"fontFamily": "monospace", "fontWeight": 700,
+                                 "color": _bp_color(v["sbp"])},
+                })
+                set_props(f"live-rr-{pid}", {
+                    "children": f"{v['rr']:.0f}",
+                    "style":    {"fontFamily": "monospace", "fontWeight": 700,
+                                 "color": "#94a3b8"},
+                })
+
+            # ECG sparkline for selected patient
+            selected = await ws.get_prop("ecg-patient-select", "value")
+            if selected and selected in history and len(history[selected]) > 1:
+                fig = create_ecg_sparkline(history[selected], selected)
+                set_props("ecg-sparkline-chart", {"figure": fig})
+
+            await asyncio.sleep(1)
+        else:
+            await asyncio.sleep(0.5)
diff --git a/medical-imaging-demo/callbacks/export_all.py b/medical-imaging-demo/callbacks/export_all.py
new file mode 100644
index 0000000..fb0b64a
--- /dev/null
+++ b/medical-imaging-demo/callbacks/export_all.py
@@ -0,0 +1,33 @@
+from datetime import datetime
+
+from dash import callback, Input, Output, State, dcc
+
+from utils.pdf_export import create_radiology_report
+from utils.data_loader import get_study, get_patient
+from components.imaging import annotation_to_finding_dict
+
+
+@callback(
+    Output("download-radiology-pdf", "data"),
+    Input("export-radiology-btn",    "n_clicks"),
+    State("xray-graph",              "figure"),
+    State("xray-annotations",        "data"),
+    State("current-study-id",        "data"),
+    prevent_initial_call=True,
+)
+def export_radiology_report(n_clicks, xray_figure, annotations, study_id):
+    if not n_clicks:
+        return None
+
+    study      = get_study(study_id) if study_id else {}
+    patient    = get_patient(study.get("patient_id", "")) if study else {}
+    findings   = [annotation_to_finding_dict(a) for a in (annotations or [])]
+
+    pdf_bytes = create_radiology_report(
+        xray_figure  = xray_figure,
+        findings     = findings,
+        patient_info = patient,
+        study_info   = study,
+    )
+    fname = f"radiology_report_{study_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.pdf"
+    return dcc.send_bytes(pdf_bytes, fname)
diff --git a/medical-imaging-demo/callbacks/imaging.py b/medical-imaging-demo/callbacks/imaging.py
new file mode 100644
index 0000000..dfb0410
--- /dev/null
+++ b/medical-imaging-demo/callbacks/imaging.py
@@ -0,0 +1,192 @@
+from dash import callback, ctx, Input, Output, State, ALL, no_update, Patch
+
+from components.imaging import (load_xray_b64, create_xray_figure,
+                                 get_ai_shapes, XRAY_DIR, _make_shape,
+                                 newshape_for, severity_color)
+from components.tables import create_findings_table
+from utils.data_loader import get_studies, get_study
+from pages.imaging import (_patient_banner_content, _image_overlays,
+                            _status_bar, _pending_tag,
+                            BG_INSET, BORDER, ACCENT,
+                            CARD_ACTIVE_BG, CARD_ACTIVE_SHADOW)
+
+df_studies = get_studies()
+STUDY_IDS  = df_studies["study_id"].tolist()
+
+
+# ── Select study via thumbnail buttons ────────────────────────────────────────
+@callback(
+    Output("current-study-id", "data"),
+    Input({"type": "study-thumb", "index": ALL}, "n_clicks"),
+    prevent_initial_call=True,
+)
+def select_study(n_clicks_list):
+    if not ctx.triggered_id or not any(n_clicks_list):
+        return no_update
+    # Don't clear annotations — update_xray loads this study's saved set.
+    return ctx.triggered_id["index"]
+
+
+# ── Highlight the active study card ───────────────────────────────────────────
+_INACTIVE_STYLE = {
+    "width": "100%", "padding": "10px 12px",
+    "backgroundColor": BG_INSET,
+    "border": f"1px solid {BORDER}",
+    "borderRadius": "8px", "textAlign": "left",
+    "transition": "border-color 0.15s ease, background-color 0.15s ease",
+}
+_ACTIVE_STYLE = {
+    **_INACTIVE_STYLE,
+    "backgroundColor": CARD_ACTIVE_BG,
+    "border": f"1px solid {ACCENT}",
+    "boxShadow": CARD_ACTIVE_SHADOW,
+}
+
+@callback(
+    Output({"type": "study-thumb", "index": ALL}, "style"),
+    Input("current-study-id", "data"),
+    State({"type": "study-thumb", "index": ALL}, "id"),
+)
+def highlight_active_study(active_id, ids):
+    return [_ACTIVE_STYLE if i["index"] == active_id else _INACTIVE_STYLE
+            for i in ids]
+
+
+# ── Main imaging callback ─────────────────────────────────────────────────────
+@callback(
+    Output("xray-graph",              "figure"),
+    Output("xray-annotations",        "data"),
+    Output("annotations-store",       "data"),
+    Output("findings-table-container","children"),
+    Output("findings-count",          "children"),
+    Input("xray-graph",            "relayoutData"),
+    Input("current-study-id",      "data"),
+    Input("window-slider",         "value"),
+    Input("level-slider",          "value"),
+    Input("invert-toggle",         "checked"),
+    Input("reset-annotations-btn", "n_clicks"),
+    Input("draw-mode-select",      "value"),
+    State("xray-annotations",      "data"),
+    State("annotations-store",     "data"),
+    State("finding-label-select",  "value"),
+    State("severity-select",       "value"),
+    State("annotation-note",       "value"),
+    prevent_initial_call=True,
+)
+def update_xray(relayout, study_id, window, level, invert,
+                reset_clicks, draw_mode,
+                stored, by_study, label, severity, note):
+    triggered = ctx.triggered_id
+    stored    = stored or []
+    by_study  = dict(by_study or {})
+    study     = get_study(study_id) if study_id else {}
+    key       = study_id or ""
+
+    drawing_event = False
+
+    if triggered == "reset-annotations-btn":
+        stored = []
+
+    elif triggered == "current-study-id":
+        # Switched study — load this study's saved annotations (persisted),
+        # do NOT clear. New studies start empty.
+        stored = list(by_study.get(key, []))
+
+    elif triggered == "xray-graph" and relayout:
+        if "shapes" in relayout:
+            drawing_event = True
+            raw_shapes = relayout["shapes"]
+            n_raw  = len(raw_shapes)
+            n_stored = len(stored)
+            if n_raw > n_stored:
+                new_raw = raw_shapes[-1]
+                sev = severity or "Medium"
+                color = severity_color(sev)
+                width = 3 if sev == "High" else 2
+                stored = stored + [{
+                    **new_raw,
+                    "line":      {"color": color, "width": width},
+                    "_label":    label or "Unspecified",
+                    "_severity": sev,
+                    "_note":     note or "",
+                }]
+            elif n_raw < n_stored:
+                stored = stored[:n_raw]
+            elif n_raw == n_stored and n_raw > 0:
+                updated = []
+                for raw, old in zip(raw_shapes, stored):
+                    updated.append({**raw,
+                                    "_label":    old.get("_label", "Unspecified"),
+                                    "_severity": old.get("_severity", "Medium"),
+                                    "_note":     old.get("_note", "")})
+                stored = updated
+        else:
+            # Pan/zoom relayout — nothing to update
+            return (no_update,) * 5
+
+    # Persist this study's annotations into the keyed store
+    by_study[key]  = stored
+    findings_table = create_findings_table(stored)
+    count          = str(len(stored))
+
+    if drawing_event:
+        # Shape already rendered on canvas; skip figure rebuild to avoid flicker
+        return no_update, stored, by_study, findings_table, count
+
+    img_path = XRAY_DIR / study.get("image_file", "xray_01.png")
+    img_b64  = load_xray_b64(img_path,
+                              window=float(window or 220),
+                              level =float(level  or 128),
+                              invert=bool(invert))
+    fig = create_xray_figure(img_b64, shapes=stored)
+    fig.update_layout(dragmode=draw_mode or "drawrect",
+                      newshape=newshape_for(severity))
+
+    return fig, stored, by_study, findings_table, count
+
+
+# ── Live annotation styling: severity drives the pen colour ───────────────────
+@callback(
+    Output("xray-graph",         "figure", allow_duplicate=True),
+    Output("pending-annotation", "children"),
+    Input("severity-select",     "value"),
+    Input("finding-label-select","value"),
+    Input("annotation-note",     "value"),
+    prevent_initial_call=True,
+)
+def update_pen_style(severity, finding, note):
+    """Update the next-shape style + pending badge as the user changes controls.
+
+    Uses a Patch so the X-ray image is not reloaded on every keystroke.
+    """
+    patch = Patch()
+    patch["layout"]["newshape"] = newshape_for(severity)
+    return patch, _pending_tag(finding, severity, note)
+
+
+# ── Patient banner follows the selected study ─────────────────────────────────
+@callback(
+    Output("patient-banner",  "children"),
+    Input("current-study-id", "data"),
+)
+def update_patient_banner(study_id):
+    if not study_id:
+        return no_update
+    return _patient_banner_content(get_study(study_id))
+
+
+# ── Image chrome: DICOM corner overlays + status bar ──────────────────────────
+@callback(
+    Output("image-overlays",   "children"),
+    Output("image-status-bar", "children"),
+    Input("current-study-id",  "data"),
+    Input("window-slider",     "value"),
+    Input("level-slider",      "value"),
+    Input("invert-toggle",     "checked"),
+    Input("draw-mode-select",  "value"),
+)
+def update_image_chrome(study_id, window, level, invert, draw_mode):
+    study = get_study(study_id) if study_id else {}
+    overlays = _image_overlays(study, window, level, invert)
+    status   = _status_bar(draw_mode, window, level, invert)
+    return overlays, status
diff --git a/medical-imaging-demo/callbacks/vitals.py b/medical-imaging-demo/callbacks/vitals.py
new file mode 100644
index 0000000..992d0a2
--- /dev/null
+++ b/medical-imaging-demo/callbacks/vitals.py
@@ -0,0 +1,74 @@
+from dash import callback, Input, Output
+import dash_mantine_components as dmc
+
+from components.charts import (create_vitals_chart, create_vitals_variability,
+                                VITAL_RANGES)
+from utils.data_loader import get_vitals
+
+UNITS = {"HR": "bpm", "SpO2": "%", "Temp": "°C",
+         "SysBP": "mmHg", "DiaBP": "mmHg", "RR": "/min"}
+
+
+@callback(
+    Output("vitals-trend-chart", "figure"),
+    Output("vitals-var-chart",   "figure"),
+    Output("stat-current-hr",    "children"),
+    Output("stat-high-hr",       "children"),
+    Output("stat-low-hr",        "children"),
+    Output("stat-current-spo2",  "children"),
+    Output("stat-abnormal",      "children"),
+    Output("vitals-summary-grid","children"),
+    Input("vitals-patient-select","value"),
+    Input("vitals-period",        "value"),
+    Input("vitals-select",        "value"),
+    Input("vitals-ref-toggle",    "checked"),
+    Input("vitals-ma-select",     "value"),
+)
+def update_vitals(patient_id, period, vitals, show_ref, ma):
+    vitals = vitals or ["HR", "SpO2"]
+    df = get_vitals(patient_id, period)
+
+    if df.empty:
+        empty = dmc.Text("No data", c="dimmed")
+        return empty, empty, "—", "—", "—", "—", "—", []
+
+    trend_fig = create_vitals_chart(df, vitals, show_reference=show_ref, ma_days=ma or "none")
+    var_fig   = create_vitals_variability(df, vitals)
+
+    # Stat cards
+    hr_cur  = f"{df['HR'].iloc[-1]:.0f} bpm"   if "HR"   in df.columns else "—"
+    hr_hi   = f"{df['HR'].max():.0f}"           if "HR"   in df.columns else "—"
+    hr_lo   = f"{df['HR'].min():.0f}"           if "HR"   in df.columns else "—"
+    spo_cur = f"{df['SpO2'].iloc[-1]:.1f}%"     if "SpO2" in df.columns else "—"
+
+    # Count readings outside reference range
+    abnormal = 0
+    for v in vitals:
+        if v in df.columns and v in VITAL_RANGES:
+            lo, hi = VITAL_RANGES[v]
+            abnormal += int(((df[v] < lo) | (df[v] > hi)).sum())
+    abn_str = str(abnormal)
+
+    # Summary grid: one mini-card per vital
+    cards = []
+    for v in vitals:
+        if v not in df.columns:
+            continue
+        col = df[v]
+        lo_r, hi_r = VITAL_RANGES.get(v, (None, None))
+        current_val = col.iloc[-1]
+        in_range = (lo_r is None or lo_r <= current_val <= hi_r)
+        badge_color = "teal" if in_range else "red"
+        cards.append(dmc.Paper(
+            dmc.Stack([
+                dmc.Group([
+                    dmc.Text(v, size="xs", fw=600),
+                    dmc.Badge("OK" if in_range else "!", color=badge_color, size="xs"),
+                ], justify="space-between"),
+                dmc.Text(f"{current_val:.1f} {UNITS.get(v,'')}", size="sm", fw=700),
+                dmc.Text(f"↓{col.min():.1f}  ↑{col.max():.1f}", size="xs", c="dimmed"),
+            ], gap=2),
+            p="xs", radius="sm", withBorder=True,
+        ))
+
+    return trend_fig, var_fig, hr_cur, hr_hi, hr_lo, spo_cur, abn_str, cards
diff --git a/medical-imaging-demo/components/__init__.py b/medical-imaging-demo/components/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/medical-imaging-demo/components/charts.py b/medical-imaging-demo/components/charts.py
new file mode 100644
index 0000000..eab4fff
--- /dev/null
+++ b/medical-imaging-demo/components/charts.py
@@ -0,0 +1,287 @@
+import plotly.graph_objects as go
+import plotly.express as px
+import pandas as pd
+import numpy as np
+
+COLORS = {
+    "primary":   "#0d9488",   # teal
+    "secondary": "#2563eb",   # blue
+    "danger":    "#ef4444",
+    "warning":   "#f59e0b",
+    "success":   "#22c55e",
+    "gray":      "#94a3b8",
+    "purple":    "#8b5cf6",
+}
+
+NAVY = "#1e3a8a"   # deep navy accent (matches app theme highlight)
+
+VITAL_COLORS = {
+    "HR":    "#ef4444",
+    "SpO2":  "#2563eb",
+    "Temp":  "#f59e0b",
+    "SysBP": "#8b5cf6",
+    "DiaBP": "#a78bfa",
+    "RR":    "#22c55e",
+}
+
+VITAL_RANGES = {
+    "HR":    (60,  100),
+    "SpO2":  (95,  100),
+    "Temp":  (36.1, 37.8),
+    "SysBP": (90,  130),
+    "DiaBP": (60,  90),
+    "RR":    (12,  20),
+}
+
+BASE_LAYOUT = {
+    "paper_bgcolor": "rgba(0,0,0,0)",
+    "plot_bgcolor":  "rgba(0,0,0,0)",
+    "font":          {"family": "Inter, sans-serif"},
+    "margin":        {"l": 48, "r": 24, "t": 48, "b": 40},
+    "hovermode":     "x unified",
+    "hoverlabel":    {
+        "bgcolor": "white",
+        "bordercolor": "#e2e8f0",
+        "font": {"family": "Inter, sans-serif", "size": 12},
+    },
+}
+
+
+# ── Admissions area chart ─────────────────────────────────────────────────────
+def create_admissions_chart(df: pd.DataFrame, department: str = "All") -> go.Figure:
+    df = df.copy()
+    df["date"] = pd.to_datetime(df["date"])
+
+    if department == "All":
+        agg = df.groupby("date")["admissions"].sum().reset_index()
+        fig = go.Figure(go.Scatter(
+            x=agg["date"], y=agg["admissions"],
+            fill="tozeroy",
+            line={"color": COLORS["primary"], "width": 2},
+            fillcolor="rgba(13,148,136,0.15)",
+            name="Total Admissions",
+            hovertemplate="%{y} admissions<extra></extra>",
+        ))
+    else:
+        sub = df[df["department"] == department]
+        fig = go.Figure(go.Scatter(
+            x=sub["date"], y=sub["admissions"],
+            fill="tozeroy",
+            line={"color": COLORS["secondary"], "width": 2},
+            fillcolor="rgba(37,99,235,0.12)",
+            name=department,
+            hovertemplate="%{y} admissions<extra></extra>",
+        ))
+
+    fig.update_layout(
+        **BASE_LAYOUT,
+        title={"text": "Daily Admissions", "x": 0, "font": {"size": 15, "weight": 600}},
+        xaxis={"showgrid": False},
+        yaxis={"showgrid": True, "gridcolor": "rgba(0,0,0,0.05)", "title": "Patients"},
+        showlegend=False,
+    )
+    return fig
+
+
+# ── Vitals time-series with reference bands ───────────────────────────────────
+def create_vitals_chart(df: pd.DataFrame, vitals: list,
+                        show_reference: bool = True,
+                        ma_days: str = "none") -> go.Figure:
+    fig = go.Figure()
+    df = df.copy()
+    df["timestamp"] = pd.to_datetime(df["timestamp"])
+
+    ma_window = {"20": 20, "50": 50, "none": None}.get(ma_days)
+
+    for v in vitals:
+        if v not in df.columns:
+            continue
+        color = VITAL_COLORS.get(v, COLORS["primary"])
+        series = df[v]
+        if ma_window:
+            series = series.rolling(ma_window, min_periods=1).mean()
+
+        fig.add_trace(go.Scatter(
+            x=df["timestamp"], y=series,
+            name=v, line={"color": color, "width": 1.8},
+            hovertemplate=f"{v}: %{{y}}<extra></extra>",
+        ))
+
+        if show_reference and v in VITAL_RANGES:
+            lo, hi = VITAL_RANGES[v]
+            fig.add_hrect(y0=lo, y1=hi, fillcolor=color,
+                          opacity=0.06, layer="below", line_width=0)
+
+    fig.update_layout(
+        **{**BASE_LAYOUT, "margin": {"l": 48, "r": 24, "t": 16, "b": 40}},
+        legend={"orientation": "h", "y": -0.18},
+        xaxis={
+            "showgrid": True, "gridcolor": "rgba(0,0,0,0.04)",
+            "rangeslider": {"visible": False},
+        },
+        yaxis={"showgrid": True, "gridcolor": "rgba(0,0,0,0.04)"},
+    )
+    return fig
+
+
+# ── Vitals variability (box plot per vital) ───────────────────────────────────
+def create_vitals_variability(df: pd.DataFrame, vitals: list) -> go.Figure:
+    fig = go.Figure()
+    for v in vitals:
+        if v not in df.columns:
+            continue
+        fig.add_trace(go.Box(
+            y=df[v], name=v,
+            marker_color=VITAL_COLORS.get(v, COLORS["primary"]),
+            boxmean="sd",
+        ))
+    fig.update_layout(
+        **BASE_LAYOUT,
+        title={"text": "Vital Sign Distribution", "x": 0,
+               "font": {"size": 15, "weight": 600}},
+        yaxis={"showgrid": True, "gridcolor": "rgba(0,0,0,0.04)"},
+        showlegend=False,
+    )
+    return fig
+
+
+# ── ECG-style HR sparkline ────────────────────────────────────────────────────
+def create_ecg_sparkline(hr_history: list, patient_id: str = "") -> go.Figure:
+    fig = go.Figure(go.Scatter(
+        y=hr_history,
+        mode="lines",
+        line={"color": COLORS["success"], "width": 2},
+        hovertemplate="%{y} bpm<extra></extra>",
+    ))
+    fig.update_layout(
+        paper_bgcolor="rgba(0,0,0,0)",
+        plot_bgcolor="rgba(0,0,0,0)",
+        font={"family": "Inter, sans-serif"},
+        margin={"l": 0, "r": 0, "t": 12, "b": 0},
+        xaxis={"visible": False},
+        yaxis={"visible": False, "range": [35, 165]},
+        showlegend=False,
+        title={"text": patient_id, "x": 0, "font": {"size": 12, "weight": 600}},
+    )
+    return fig
+
+
+# ── Diagnosis donut (cohort demographics) ─────────────────────────────────────
+def create_diagnosis_donut(df: pd.DataFrame) -> go.Figure:
+    counts = df["diagnosis"].value_counts().reset_index()
+    counts.columns = ["diagnosis", "count"]
+    fig = go.Figure(go.Pie(
+        labels=counts["diagnosis"],
+        values=counts["count"],
+        hole=0.58,
+        textinfo="percent",
+        textposition="outside",
+        marker={"colors": px.colors.qualitative.Pastel[:len(counts)]},
+        hovertemplate="%{label}<br>%{value} patients (%{percent})<extra></extra>",
+    ))
+    fig.update_layout(
+        **BASE_LAYOUT,
+        title={"text": "Diagnosis Distribution", "x": 0,
+               "font": {"size": 15, "weight": 600}},
+        legend={"orientation": "v", "x": 1.02, "y": 0.5},
+        annotations=[{"text": "Cohort", "x": 0.5, "y": 0.5,
+                       "font": {"size": 13, "weight": 600}, "showarrow": False}],
+    )
+    return fig
+
+
+# ── Age-sex bar chart (cohort demographics) ───────────────────────────────────
+def create_age_sex_chart(df: pd.DataFrame) -> go.Figure:
+    bins = [20, 30, 40, 50, 60, 70, 80, 90]
+    labels = ["20-29","30-39","40-49","50-59","60-69","70-79","80+"]
+    df = df.copy()
+    df["age_group"] = pd.cut(df["age"], bins=bins, labels=labels, right=False)
+    grp = df.groupby(["age_group", "gender"], observed=True).size().reset_index(name="count")
+    fig = go.Figure()
+    for gender, color in [("M", COLORS["secondary"]), ("F", COLORS["primary"])]:
+        sub = grp[grp["gender"] == gender]
+        fig.add_trace(go.Bar(
+            x=sub["age_group"].astype(str), y=sub["count"],
+            name="Male" if gender == "M" else "Female",
+            marker_color=color,
+        ))
+    fig.update_layout(
+        **BASE_LAYOUT,
+        title={"text": "Age & Sex Distribution", "x": 0,
+               "font": {"size": 15, "weight": 600}},
+        barmode="group",
+        xaxis={"title": "Age Group"},
+        yaxis={"title": "Patients", "showgrid": True, "gridcolor": "rgba(0,0,0,0.04)"},
+        legend={"orientation": "h", "y": -0.18},
+    )
+    return fig
+
+
+# ── Risk stratification bar chart ─────────────────────────────────────────────
+def create_risk_strat_chart(df: pd.DataFrame) -> go.Figure:
+    risk_diag = df.groupby(["diagnosis", "risk_level"]).size().reset_index(name="count")
+    color_map = {"High": COLORS["danger"], "Medium": COLORS["warning"], "Low": COLORS["success"]}
+    fig = go.Figure()
+    for level in ["High", "Medium", "Low"]:
+        sub = risk_diag[risk_diag["risk_level"] == level]
+        fig.add_trace(go.Bar(
+            x=sub["diagnosis"], y=sub["count"],
+            name=level, marker_color=color_map[level],
+        ))
+    fig.update_layout(
+        **BASE_LAYOUT,
+        title={"text": "Risk Stratification by Diagnosis", "x": 0,
+               "font": {"size": 15, "weight": 600}},
+        barmode="stack",
+        xaxis={"tickangle": -30},
+        yaxis={"title": "Patients"},
+        legend={"orientation": "h", "y": -0.22},
+    )
+    return fig
+
+
+# ── Crossfilter scatter ───────────────────────────────────────────────────────
+SCATTER_LIGHT = {
+    "paper_bgcolor": "rgba(0,0,0,0)",
+    "plot_bgcolor":  "rgba(0,0,0,0)",
+    "font":          {"family": "Inter, sans-serif", "color": "#1e2433"},
+    "margin":        {"l": 40, "r": 16, "t": 40, "b": 36},
+    "hovermode":     False,
+    "newselection_mode": "gradual",
+}
+
+def create_crossfilter_scatter(df: pd.DataFrame, x_col: str, y_col: str,
+                               selected_ids=None) -> go.Figure:
+    all_ids = df.index.tolist()
+    if selected_ids is None:
+        selected_ids = all_ids
+
+    risk_colors = {"High": "#ef4444", "Medium": "#f59e0b", "Low": "#22c55e"}
+    marker_colors = [risk_colors.get(r, "#94a3b8") for r in df["risk_level"]]
+
+    fig = px.scatter(df, x=x_col, y=y_col, template="plotly_white")
+    fig.update_traces(
+        selectedpoints=selected_ids,
+        customdata=df.index,
+        mode="markers",
+        marker={
+            "color": marker_colors,
+            "size": 8,
+            "opacity": 0.9,
+            "line": {"width": 0.6, "color": "#ffffff"},
+        },
+        unselected={"marker": {"opacity": 0.15, "color": "#cbd5e1"}},
+        selected={"marker": {"opacity": 1.0, "size": 9}},
+    )
+    grid = {"showgrid": True, "gridcolor": "rgba(0,0,0,0.06)",
+            "zeroline": False, "linecolor": "rgba(0,0,0,0.12)"}
+    fig.update_layout(
+        **SCATTER_LIGHT,
+        dragmode="select",
+        activeselection={"fillcolor": "rgba(30,58,138,0.08)"},
+        xaxis={**grid, "title": x_col},
+        yaxis={**grid, "title": y_col},
+        title={"text": f"{x_col} vs {y_col}",
+               "font": {"size": 13, "color": NAVY, "weight": 600}},
+    )
+    return fig
diff --git a/medical-imaging-demo/components/imaging.py b/medical-imaging-demo/components/imaging.py
new file mode 100644
index 0000000..c393d23
--- /dev/null
+++ b/medical-imaging-demo/components/imaging.py
@@ -0,0 +1,172 @@
+"""X-ray figure builder and annotation helpers."""
+import base64
+import io
+import pathlib
+
+import numpy as np
+import plotly.graph_objects as go
+from PIL import Image, ImageEnhance, ImageOps
+
+XRAY_DIR = pathlib.Path(__file__).parent.parent / "assets" / "xrays"
+
+# Approximate bounding boxes (in 512×512 space) for each finding type
+FINDING_AI_BOXES = {
+    "Cardiomegaly":    {"x0": 155, "y0": 192, "x1": 345, "y1": 368, "color": "#f59e0b"},
+    "Pleural Effusion":{"x0": 308, "y0": 295, "x1": 460, "y1": 425, "color": "#3b82f6"},
+    "Pneumothorax":    {"x0": 18,  "y0": 40,  "x1": 178, "y1": 260, "color": "#ef4444"},
+    "Nodule":          {"x0": 345, "y0": 135, "x1": 400, "y1": 195, "color": "#8b5cf6"},
+    "Mass":            {"x0": 315, "y0": 155, "x1": 430, "y1": 285, "color": "#8b5cf6"},
+    "Atelectasis":     {"x0": 155, "y0": 295, "x1": 380, "y1": 340, "color": "#f97316"},
+    "Pneumonia":       {"x0": 310, "y0": 258, "x1": 460, "y1": 360, "color": "#eab308"},
+    "Consolidation":   {"x0": 300, "y0": 250, "x1": 465, "y1": 370, "color": "#eab308"},
+    "Infiltration":    {"x0": 145, "y0": 230, "x1": 310, "y1": 340, "color": "#eab308"},
+    "Cardiomegaly":    {"x0": 155, "y0": 192, "x1": 345, "y1": 368, "color": "#f59e0b"},
+}
+
+IMG_W = IMG_H = 512
+
+# Severity → annotation colour (Low=green, Medium=amber, High=red)
+# Darkened one step for legibility on the light cream theme.
+SEVERITY_COLORS = {"Low": "#16a34a", "Medium": "#d97706", "High": "#dc2626"}
+
+
+def severity_color(severity: str) -> str:
+    """Hex colour for a severity level, defaulting to Medium amber."""
+    return SEVERITY_COLORS.get(severity or "Medium", SEVERITY_COLORS["Medium"])
+
+
+def newshape_for(severity: str) -> dict:
+    """Plotly `newshape` style for the next-drawn shape, keyed by severity.
+
+    High findings draw with a thicker line so urgency reads at a glance.
+    """
+    color = severity_color(severity)
+    width = 3 if severity == "High" else 2
+    return {
+        "line": {"color": color, "width": width},
+        "fillcolor": f"rgba({_hex_to_rgb(color)},0.08)",
+    }
+
+
+def load_xray_b64(image_path: pathlib.Path,
+                  window: float = 255,
+                  level: float = 128,
+                  invert: bool = False) -> str:
+    """Load grayscale X-ray PNG, apply window/level, return data-URI."""
+    try:
+        img = Image.open(image_path).convert("L").resize((IMG_W, IMG_H), Image.LANCZOS)
+    except Exception:
+        img = Image.new("L", (IMG_W, IMG_H), 60)
+
+    arr = np.array(img, dtype=np.float32)
+    lo  = max(0.0, level - window / 2)
+    hi  = min(255.0, level + window / 2)
+    if hi > lo:
+        arr = (arr - lo) / (hi - lo) * 255.0
+    arr = np.clip(arr, 0, 255).astype(np.uint8)
+    img = Image.fromarray(arr, mode="L")
+
+    if invert:
+        img = ImageOps.invert(img)
+
+    buf = io.BytesIO()
+    img.save(buf, format="PNG")
+    b64 = base64.b64encode(buf.getvalue()).decode()
+    return f"data:image/png;base64,{b64}"
+
+
+def create_xray_figure(img_b64: str, shapes: list = None) -> go.Figure:
+    """Build a Plotly figure that shows an X-ray with drawing tools."""
+    fig = go.Figure()
+
+    fig.add_layout_image(
+        source=img_b64,
+        xref="x", yref="y",
+        x=0, y=IMG_H,
+        xanchor="left", yanchor="top",
+        sizex=IMG_W, sizey=IMG_H,
+        sizing="stretch",
+        layer="below",
+    )
+
+    fig.update_layout(
+        xaxis=dict(range=[0, IMG_W], showgrid=False, zeroline=False,
+                   showticklabels=False, fixedrange=False),
+        yaxis=dict(range=[0, IMG_H], showgrid=False, zeroline=False,
+                   showticklabels=False, scaleanchor="x", fixedrange=False),
+        plot_bgcolor="#e7e9ec",
+        paper_bgcolor="#eef0f2",
+        margin=dict(l=0, r=0, t=0, b=0),
+        dragmode="drawrect",
+        newshape=dict(
+            line={"color": "#1e3a8a", "width": 2},
+            fillcolor="rgba(30,58,138,0.08)",
+        ),
+        modebar=dict(
+            bgcolor="#eef0f2",
+            color="#6b7280",
+            activecolor="#1e3a8a",
+        ),
+    )
+
+    if shapes:
+        fig.layout.shapes = [_make_shape(s) for s in shapes]
+
+    return fig
+
+
+def _make_shape(s: dict) -> dict:
+    """Convert stored annotation dict to Plotly layout shape dict."""
+    line = s.get("line") if isinstance(s.get("line"), dict) else {}
+    color = line.get("color", "#1e3a8a")
+    width = line.get("width", 2)
+    return {
+        "type":      s.get("type", "rect"),
+        "x0":        s.get("x0", 0),
+        "y0":        s.get("y0", 0),
+        "x1":        s.get("x1", 10),
+        "y1":        s.get("y1", 10),
+        "line":      {"color": color, "width": width},
+        "fillcolor": f"rgba({_hex_to_rgb(color)},0.09)",
+    }
+
+
+def _hex_to_rgb(hex_color: str) -> str:
+    h = hex_color.lstrip("#")
+    if len(h) == 6:
+        r, g, b = int(h[0:2],16), int(h[2:4],16), int(h[4:6],16)
+        return f"{r},{g},{b}"
+    return "30,58,138"
+
+
+def get_ai_shapes(finding_labels_str: str) -> list:
+    """Return a list of stored annotation dicts from finding-label string."""
+    shapes = []
+    for f in finding_labels_str.split("|"):
+        f = f.strip()
+        box = FINDING_AI_BOXES.get(f)
+        if box:
+            shapes.append({
+                "type": "rect",
+                "x0": box["x0"], "y0": IMG_H - box["y1"],
+                "x1": box["x1"], "y1": IMG_H - box["y0"],
+                "line": {"color": box["color"], "width": 2},
+                "fillcolor": "rgba(0,0,0,0)",
+                "_label":    f,
+                "_severity": "Medium",
+                "_note":     "AI suggested",
+            })
+    return shapes
+
+
+def annotation_to_finding_dict(ann: dict) -> dict:
+    """Convert stored annotation to finding dict for PDF export."""
+    x0, y0 = ann.get("x0", 0), ann.get("y0", 0)
+    x1, y1 = ann.get("x1", 0), ann.get("y1", 0)
+    return {
+        "label":      ann.get("_label", "Unspecified"),
+        "location":   f"({int(x0)},{int(y0)})→({int(x1)},{int(y1)})",
+        "shape_type": ann.get("type", "rect"),
+        "severity":   ann.get("_severity", "—"),
+        "note":       ann.get("_note", ""),
+    }
diff --git a/medical-imaging-demo/components/kpi_cards.py b/medical-imaging-demo/components/kpi_cards.py
new file mode 100644
index 0000000..57ef2a5
--- /dev/null
+++ b/medical-imaging-demo/components/kpi_cards.py
@@ -0,0 +1,61 @@
+import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+
+
+def create_kpi_card(id_prefix, title, value, trend=None,
+                    trend_positive=True, subtitle=None, icon=None,
+                    alert_color=None):
+    """Clinical KPI card, optionally coloured for alert state."""
+    trend_color = "teal" if trend_positive else "red"
+    border_color = {"red": "#ef4444", "yellow": "#f59e0b", "green": "#22c55e"}.get(alert_color)
+    style = {"minWidth": "200px"}
+    if border_color:
+        style["borderLeft"] = f"4px solid {border_color}"
+
+    return dmc.Paper(
+        dmc.Stack([
+            dmc.Group([
+                dmc.Text(title, size="sm", c="dimmed", fw=500, id=f"{id_prefix}-title"),
+                DashIconify(icon=icon, width=20, color="gray") if icon else None,
+            ], justify="space-between"),
+            dmc.Group([
+                dmc.Text(value, size="xl", fw=700, id=f"{id_prefix}-value"),
+                dmc.Text(
+                    trend or "",
+                    size="sm",
+                    c=trend_color,
+                    fw=500,
+                    id=f"{id_prefix}-trend",
+                    style={"display": "block" if trend else "none"},
+                ),
+            ], justify="space-between", mt="xs"),
+            dmc.Text(subtitle, size="xs", c="dimmed", mt=4,
+                     id=f"{id_prefix}-subtitle") if subtitle else None,
+        ], gap="xs"),
+        p="md",
+        radius="md",
+        withBorder=True,
+        style=style,
+    )
+
+
+def create_stat_card(label, value, description=None, value_color=None):
+    return dmc.Paper(
+        dmc.Stack([
+            dmc.Text(label, size="xs", c="dimmed", tt="uppercase", fw=600),
+            dmc.Text(value, size="lg", fw=600, c=value_color or "default"),
+            dmc.Text(description, size="xs", c="dimmed") if description else None,
+        ], gap=4),
+        p="sm",
+        radius="sm",
+        withBorder=True,
+    )
+
+
+def create_risk_row(id_prefix, label, value, progress_value, color):
+    return dmc.Group([
+        dmc.Text(label, size="sm", w=120),
+        dmc.Progress(value=progress_value, color=color, size="lg",
+                     style={"flex": 1}, id=f"{id_prefix}-bar"),
+        dmc.Text(value, size="sm", fw=500, w=55, id=f"{id_prefix}-value"),
+    ], gap="sm")
diff --git a/medical-imaging-demo/components/tables.py b/medical-imaging-demo/components/tables.py
new file mode 100644
index 0000000..311f44f
--- /dev/null
+++ b/medical-imaging-demo/components/tables.py
@@ -0,0 +1,110 @@
+import dash_mantine_components as dmc
+import pandas as pd
+
+
+def create_data_table(df: pd.DataFrame, title: str = None,
+                      striped: bool = True, highlight_flags: bool = False):
+    """Generic Mantine table from a DataFrame."""
+    cols = df.columns.tolist()
+    header = dmc.TableThead(
+        dmc.TableTr([dmc.TableTh(c, style={"fontWeight": 600}) for c in cols])
+    )
+    rows = []
+    for _, row in df.iterrows():
+        cells = []
+        for col, val in zip(cols, row):
+            style = {}
+            val_str = str(val) if not pd.isna(val) else "—"
+            if highlight_flags and col == "flag":
+                color = {"H": "#ef4444", "L": "#3b82f6"}.get(val_str, "#22c55e")
+                style["color"] = color
+                style["fontWeight"] = 600
+            cells.append(dmc.TableTd(val_str, style=style))
+        rows.append(dmc.TableTr(cells))
+    body = dmc.TableTbody(rows)
+    table = dmc.Table(
+        [header, body],
+        striped=striped,
+        highlightOnHover=True,
+        withTableBorder=True,
+        withColumnBorders=True,
+    )
+    if title:
+        return dmc.Stack([
+            dmc.Text(title, fw=600, size="lg"),
+            dmc.ScrollArea(table, type="auto"),
+        ], gap="sm")
+    return dmc.ScrollArea(table, type="auto")
+
+
+def create_findings_table(annotations: list):
+    """Build a findings table from a list of annotation dicts."""
+    if not annotations:
+        return dmc.Text("No annotations yet. Draw on the X-ray to add findings.",
+                        size="sm", c="dimmed", ta="center", py="md")
+
+    headers = ["#", "Finding", "Severity", "Location (px)", "Size (px²)", "Note"]
+    header = dmc.TableThead(
+        dmc.TableTr([dmc.TableTh(h, style={"fontWeight": 600, "fontSize": "12px"})
+                     for h in headers])
+    )
+
+    sev_color = {"High": "#ef4444", "Medium": "#f59e0b", "Low": "#22c55e"}
+    rows = []
+    for i, ann in enumerate(annotations, 1):
+        x0 = ann.get("x0", 0)
+        y0 = ann.get("y0", 0)
+        x1 = ann.get("x1", 0)
+        y1 = ann.get("y1", 0)
+        area = abs((x1 - x0) * (y1 - y0))
+        sev = ann.get("_severity", "—")
+        rows.append(dmc.TableTr([
+            dmc.TableTd(str(i), style={"fontSize": "12px"}),
+            dmc.TableTd(ann.get("_label", "Unspecified"),
+                        style={"fontWeight": 500, "fontSize": "12px"}),
+            dmc.TableTd(
+                dmc.Badge(sev, color={"High":"red","Medium":"yellow","Low":"teal"}.get(sev,"gray"),
+                          size="sm"),
+            ),
+            dmc.TableTd(f"({int(x0)},{int(y0)})→({int(x1)},{int(y1)})",
+                        style={"fontFamily": "monospace", "fontSize": "11px"}),
+            dmc.TableTd(f"{int(area):,}", style={"fontSize": "12px"}),
+            dmc.TableTd(ann.get("_note", ""), style={"fontSize": "12px"}),
+        ]))
+
+    return dmc.ScrollArea(
+        dmc.Table([header, dmc.TableTbody(rows)],
+                  striped=True, highlightOnHover=True,
+                  withTableBorder=True, withColumnBorders=False,
+                  verticalSpacing="xs"),
+        type="auto",
+    )
+
+
+def create_patient_table(df: pd.DataFrame, cols=None):
+    """Patient roster table with coloured risk badges."""
+    if cols is None:
+        cols = ["patient_id", "name", "age", "gender", "diagnosis", "ward", "risk_score"]
+    df = df[cols].copy()
+    header = dmc.TableThead(
+        dmc.TableTr([dmc.TableTh(c.replace("_"," ").title(),
+                                  style={"fontWeight": 600, "fontSize": "12px"})
+                     for c in cols])
+    )
+    rows = []
+    for _, row in df.iterrows():
+        cells = []
+        for col in cols:
+            val = row[col]
+            if col == "risk_score":
+                color = "red" if val > 70 else "yellow" if val > 40 else "teal"
+                cells.append(dmc.TableTd(
+                    dmc.Badge(f"{val:.0f}", color=color, size="sm")))
+            else:
+                cells.append(dmc.TableTd(str(val), style={"fontSize": "12px"}))
+        rows.append(dmc.TableTr(cells))
+    return dmc.ScrollArea(
+        dmc.Table([header, dmc.TableTbody(rows)],
+                  striped=True, highlightOnHover=True, withTableBorder=True),
+        type="auto", h=280,
+    )
diff --git a/medical-imaging-demo/data/admissions.csv b/medical-imaging-demo/data/admissions.csv
new file mode 100644
index 0000000..bfaba6c
--- /dev/null
+++ b/medical-imaging-demo/data/admissions.csv
@@ -0,0 +1,211 @@
+date,department,admissions
+2026-05-17,Cardiology,6
+2026-05-17,Pulmonology,5
+2026-05-17,Neurology,6
+2026-05-17,General Medicine,16
+2026-05-17,Surgery,8
+2026-05-17,Nephrology,4
+2026-05-17,Oncology,2
+2026-05-18,Cardiology,11
+2026-05-18,Pulmonology,6
+2026-05-18,Neurology,7
+2026-05-18,General Medicine,20
+2026-05-18,Surgery,11
+2026-05-18,Nephrology,3
+2026-05-18,Oncology,2
+2026-05-19,Cardiology,12
+2026-05-19,Pulmonology,3
+2026-05-19,Neurology,0
+2026-05-19,General Medicine,22
+2026-05-19,Surgery,8
+2026-05-19,Nephrology,5
+2026-05-19,Oncology,4
+2026-05-20,Cardiology,14
+2026-05-20,Pulmonology,7
+2026-05-20,Neurology,5
+2026-05-20,General Medicine,18
+2026-05-20,Surgery,11
+2026-05-20,Nephrology,6
+2026-05-20,Oncology,6
+2026-05-21,Cardiology,9
+2026-05-21,Pulmonology,12
+2026-05-21,Neurology,5
+2026-05-21,General Medicine,19
+2026-05-21,Surgery,10
+2026-05-21,Nephrology,3
+2026-05-21,Oncology,3
+2026-05-22,Cardiology,14
+2026-05-22,Pulmonology,10
+2026-05-22,Neurology,6
+2026-05-22,General Medicine,22
+2026-05-22,Surgery,10
+2026-05-22,Nephrology,4
+2026-05-22,Oncology,2
+2026-05-23,Cardiology,7
+2026-05-23,Pulmonology,4
+2026-05-23,Neurology,7
+2026-05-23,General Medicine,16
+2026-05-23,Surgery,10
+2026-05-23,Nephrology,4
+2026-05-23,Oncology,1
+2026-05-24,Cardiology,10
+2026-05-24,Pulmonology,8
+2026-05-24,Neurology,5
+2026-05-24,General Medicine,12
+2026-05-24,Surgery,4
+2026-05-24,Nephrology,5
+2026-05-24,Oncology,2
+2026-05-25,Cardiology,12
+2026-05-25,Pulmonology,6
+2026-05-25,Neurology,6
+2026-05-25,General Medicine,17
+2026-05-25,Surgery,10
+2026-05-25,Nephrology,6
+2026-05-25,Oncology,5
+2026-05-26,Cardiology,9
+2026-05-26,Pulmonology,8
+2026-05-26,Neurology,4
+2026-05-26,General Medicine,23
+2026-05-26,Surgery,11
+2026-05-26,Nephrology,5
+2026-05-26,Oncology,8
+2026-05-27,Cardiology,10
+2026-05-27,Pulmonology,7
+2026-05-27,Neurology,7
+2026-05-27,General Medicine,24
+2026-05-27,Surgery,12
+2026-05-27,Nephrology,6
+2026-05-27,Oncology,2
+2026-05-28,Cardiology,10
+2026-05-28,Pulmonology,9
+2026-05-28,Neurology,3
+2026-05-28,General Medicine,20
+2026-05-28,Surgery,11
+2026-05-28,Nephrology,2
+2026-05-28,Oncology,5
+2026-05-29,Cardiology,13
+2026-05-29,Pulmonology,7
+2026-05-29,Neurology,5
+2026-05-29,General Medicine,16
+2026-05-29,Surgery,9
+2026-05-29,Nephrology,1
+2026-05-29,Oncology,2
+2026-05-30,Cardiology,8
+2026-05-30,Pulmonology,3
+2026-05-30,Neurology,2
+2026-05-30,General Medicine,12
+2026-05-30,Surgery,9
+2026-05-30,Nephrology,3
+2026-05-30,Oncology,5
+2026-05-31,Cardiology,8
+2026-05-31,Pulmonology,5
+2026-05-31,Neurology,3
+2026-05-31,General Medicine,9
+2026-05-31,Surgery,8
+2026-05-31,Nephrology,3
+2026-05-31,Oncology,3
+2026-06-01,Cardiology,7
+2026-06-01,Pulmonology,7
+2026-06-01,Neurology,5
+2026-06-01,General Medicine,20
+2026-06-01,Surgery,9
+2026-06-01,Nephrology,4
+2026-06-01,Oncology,5
+2026-06-02,Cardiology,14
+2026-06-02,Pulmonology,7
+2026-06-02,Neurology,3
+2026-06-02,General Medicine,17
+2026-06-02,Surgery,10
+2026-06-02,Nephrology,7
+2026-06-02,Oncology,0
+2026-06-03,Cardiology,9
+2026-06-03,Pulmonology,7
+2026-06-03,Neurology,1
+2026-06-03,General Medicine,19
+2026-06-03,Surgery,10
+2026-06-03,Nephrology,5
+2026-06-03,Oncology,3
+2026-06-04,Cardiology,11
+2026-06-04,Pulmonology,5
+2026-06-04,Neurology,2
+2026-06-04,General Medicine,19
+2026-06-04,Surgery,10
+2026-06-04,Nephrology,5
+2026-06-04,Oncology,6
+2026-06-05,Cardiology,12
+2026-06-05,Pulmonology,9
+2026-06-05,Neurology,6
+2026-06-05,General Medicine,23
+2026-06-05,Surgery,9
+2026-06-05,Nephrology,6
+2026-06-05,Oncology,4
+2026-06-06,Cardiology,10
+2026-06-06,Pulmonology,6
+2026-06-06,Neurology,4
+2026-06-06,General Medicine,15
+2026-06-06,Surgery,8
+2026-06-06,Nephrology,5
+2026-06-06,Oncology,5
+2026-06-07,Cardiology,9
+2026-06-07,Pulmonology,3
+2026-06-07,Neurology,4
+2026-06-07,General Medicine,14
+2026-06-07,Surgery,6
+2026-06-07,Nephrology,3
+2026-06-07,Oncology,1
+2026-06-08,Cardiology,7
+2026-06-08,Pulmonology,10
+2026-06-08,Neurology,5
+2026-06-08,General Medicine,16
+2026-06-08,Surgery,10
+2026-06-08,Nephrology,6
+2026-06-08,Oncology,3
+2026-06-09,Cardiology,9
+2026-06-09,Pulmonology,5
+2026-06-09,Neurology,10
+2026-06-09,General Medicine,17
+2026-06-09,Surgery,6
+2026-06-09,Nephrology,4
+2026-06-09,Oncology,5
+2026-06-10,Cardiology,15
+2026-06-10,Pulmonology,7
+2026-06-10,Neurology,5
+2026-06-10,General Medicine,17
+2026-06-10,Surgery,12
+2026-06-10,Nephrology,4
+2026-06-10,Oncology,3
+2026-06-11,Cardiology,12
+2026-06-11,Pulmonology,8
+2026-06-11,Neurology,5
+2026-06-11,General Medicine,22
+2026-06-11,Surgery,6
+2026-06-11,Nephrology,5
+2026-06-11,Oncology,4
+2026-06-12,Cardiology,11
+2026-06-12,Pulmonology,9
+2026-06-12,Neurology,7
+2026-06-12,General Medicine,22
+2026-06-12,Surgery,9
+2026-06-12,Nephrology,4
+2026-06-12,Oncology,5
+2026-06-13,Cardiology,8
+2026-06-13,Pulmonology,2
+2026-06-13,Neurology,6
+2026-06-13,General Medicine,11
+2026-06-13,Surgery,8
+2026-06-13,Nephrology,8
+2026-06-13,Oncology,4
+2026-06-14,Cardiology,7
+2026-06-14,Pulmonology,5
+2026-06-14,Neurology,5
+2026-06-14,General Medicine,14
+2026-06-14,Surgery,9
+2026-06-14,Nephrology,6
+2026-06-14,Oncology,5
+2026-06-15,Cardiology,9
+2026-06-15,Pulmonology,8
+2026-06-15,Neurology,6
+2026-06-15,General Medicine,23
+2026-06-15,Surgery,10
+2026-06-15,Nephrology,3
+2026-06-15,Oncology,4
diff --git a/medical-imaging-demo/data/cohort.csv b/medical-imaging-demo/data/cohort.csv
new file mode 100644
index 0000000..51b12e7
--- /dev/null
+++ b/medical-imaging-demo/data/cohort.csv
@@ -0,0 +1,201 @@
+patient_id,age,gender,bmi,systolic_bp,ldl,hba1c,egfr,diagnosis,risk_level
+CO2001,46,F,25.9,167.0,161.8,8.3,87.7,CAD,High
+CO2002,46,M,24.0,146.0,114.1,6.9,67.9,CKD,Low
+CO2003,32,M,20.3,189.0,112.1,8.3,55.8,Asthma,High
+CO2004,52,M,30.2,167.0,81.4,6.0,73.5,CKD,Medium
+CO2005,76,F,33.3,105.0,56.4,6.8,72.2,Heart Failure,Low
+CO2006,26,M,29.4,115.0,141.2,6.1,65.8,Asthma,Low
+CO2007,59,M,16.0,149.0,122.4,10.4,72.2,Type 2 Diabetes,Medium
+CO2008,50,F,31.2,133.0,71.1,6.3,21.1,CKD,Medium
+CO2009,32,M,29.7,142.0,89.7,5.6,42.6,CKD,Medium
+CO2010,49,M,32.0,93.0,54.6,5.9,53.5,Heart Failure,Low
+CO2011,68,M,31.8,151.0,154.2,9.2,72.9,CKD,Medium
+CO2012,57,F,26.9,131.0,119.0,8.3,78.6,Type 2 Diabetes,Medium
+CO2013,55,F,16.0,134.0,124.1,7.3,43.1,Type 2 Diabetes,Medium
+CO2014,50,M,29.5,115.0,166.2,4.5,85.6,Heart Failure,Low
+CO2015,84,F,20.7,114.0,148.7,6.1,48.0,Hypertension,Low
+CO2016,23,M,24.2,132.0,40.0,7.1,5.0,Obesity,Medium
+CO2017,24,M,34.5,201.0,81.8,7.6,78.5,Hyperlipidemia,Medium
+CO2018,36,M,16.0,110.0,132.6,7.1,61.4,Atrial Fibrillation,Low
+CO2019,76,F,24.4,120.0,113.0,7.8,77.0,Hyperlipidemia,Low
+CO2020,59,F,20.8,120.0,139.9,5.8,67.6,Hyperlipidemia,Low
+CO2021,25,F,33.9,108.0,192.7,8.7,15.6,CAD,High
+CO2022,52,F,28.6,126.0,162.8,5.0,69.6,Hyperlipidemia,Low
+CO2023,84,M,42.4,125.0,150.1,4.5,25.2,Type 2 Diabetes,Medium
+CO2024,82,M,25.7,110.0,95.4,6.4,86.7,Hyperlipidemia,Low
+CO2025,22,F,25.6,124.0,102.0,7.3,38.6,Asthma,Medium
+CO2026,46,M,26.2,160.0,147.0,7.0,31.8,Atrial Fibrillation,Medium
+CO2027,48,F,30.0,103.0,171.0,7.6,62.8,Type 2 Diabetes,Low
+CO2028,37,F,29.0,133.0,50.5,7.4,98.1,CKD,Low
+CO2029,36,F,34.9,145.0,72.1,7.3,85.4,COPD,Low
+CO2030,63,F,30.2,182.0,144.1,8.0,102.9,Hyperlipidemia,Medium
+CO2031,81,F,33.4,124.0,70.2,6.6,42.8,COPD,Medium
+CO2032,30,M,20.0,171.0,126.7,7.5,65.5,Heart Failure,Medium
+CO2033,80,M,28.1,122.0,119.7,9.9,49.3,Heart Failure,Medium
+CO2034,34,F,33.2,136.0,112.0,8.8,51.7,CAD,Medium
+CO2035,61,F,25.5,144.0,81.3,8.4,38.1,Atrial Fibrillation,High
+CO2036,51,M,26.7,117.0,143.2,5.3,111.1,Asthma,Low
+CO2037,74,M,27.6,107.0,93.4,5.2,98.2,CKD,Low
+CO2038,53,F,26.3,124.0,107.1,6.0,70.7,CKD,Low
+CO2039,26,F,28.0,108.0,139.5,6.9,50.2,CKD,Low
+CO2040,50,F,20.5,128.0,103.8,6.0,84.3,Asthma,Low
+CO2041,59,M,28.6,138.0,70.8,8.3,51.1,Heart Failure,Medium
+CO2042,20,F,17.1,135.0,95.8,7.6,45.3,Atrial Fibrillation,Low
+CO2043,35,M,24.5,166.0,133.0,4.5,33.4,Atrial Fibrillation,High
+CO2044,52,F,25.7,147.0,91.0,6.3,60.0,Type 2 Diabetes,Low
+CO2045,62,M,33.4,106.0,124.9,6.5,18.9,Atrial Fibrillation,Medium
+CO2046,48,F,39.7,138.0,156.9,6.6,65.7,CAD,Low
+CO2047,45,F,34.5,161.0,52.5,6.1,127.1,Obesity,Medium
+CO2048,53,F,30.3,148.0,153.1,9.5,59.4,Obesity,Medium
+CO2049,71,M,19.8,145.0,60.7,4.5,73.6,COPD,Low
+CO2050,50,M,28.6,131.0,118.0,6.8,70.3,Hypertension,Low
+CO2051,33,F,26.5,92.0,141.4,7.6,120.3,Hypertension,Low
+CO2052,76,F,23.4,80.0,118.8,5.5,47.6,Heart Failure,Low
+CO2053,55,M,25.9,91.0,126.8,4.5,60.5,CKD,Low
+CO2054,60,M,24.8,115.0,169.0,6.5,47.9,Obesity,Low
+CO2055,67,M,31.3,204.0,113.6,8.6,94.2,Type 2 Diabetes,High
+CO2056,80,F,23.5,126.0,161.9,7.0,31.9,CKD,Medium
+CO2057,36,F,21.1,132.0,58.8,4.6,96.2,Hypertension,Low
+CO2058,72,F,20.8,153.0,83.0,4.5,67.9,CKD,Low
+CO2059,58,M,26.9,124.0,138.2,8.8,60.8,Asthma,Medium
+CO2060,50,F,16.0,140.0,40.0,7.1,47.9,COPD,Low
+CO2061,36,M,29.4,135.0,64.8,8.0,75.3,CAD,Medium
+CO2062,50,M,28.2,107.0,87.7,6.8,100.1,CKD,Low
+CO2063,54,F,30.6,104.0,132.6,6.9,111.6,Hyperlipidemia,Low
+CO2064,23,M,34.1,120.0,96.5,6.8,53.1,Atrial Fibrillation,Low
+CO2065,42,F,38.8,155.0,95.0,4.5,67.0,Hyperlipidemia,Low
+CO2066,52,M,22.1,165.0,134.2,7.1,71.6,Obesity,Medium
+CO2067,28,M,19.9,149.0,139.3,6.7,64.6,CAD,Low
+CO2068,74,F,28.2,134.0,134.2,7.4,65.1,Type 2 Diabetes,Low
+CO2069,65,M,28.3,99.0,92.8,6.9,48.9,Type 2 Diabetes,Low
+CO2070,60,F,29.3,133.0,143.4,8.2,86.0,Atrial Fibrillation,Medium
+CO2071,34,M,16.0,156.0,108.7,5.0,79.3,Asthma,Low
+CO2072,55,M,27.3,80.0,144.6,8.2,77.6,Type 2 Diabetes,Medium
+CO2073,32,F,21.0,123.0,119.5,7.6,79.8,Hyperlipidemia,Low
+CO2074,58,F,32.7,99.0,105.7,7.7,60.5,CAD,Low
+CO2075,28,F,26.8,94.0,74.9,6.0,55.5,COPD,Low
+CO2076,46,F,26.6,121.0,106.2,6.1,68.5,Hypertension,Low
+CO2077,83,F,22.6,152.0,45.0,6.5,70.4,CAD,Low
+CO2078,23,M,30.4,125.0,84.4,8.1,89.2,Obesity,Medium
+CO2079,77,F,31.9,119.0,157.6,7.4,69.5,COPD,Low
+CO2080,71,M,21.7,146.0,95.9,7.4,114.3,CKD,Low
+CO2081,36,M,24.9,139.0,164.4,8.8,69.1,Obesity,Medium
+CO2082,45,M,17.9,138.0,61.6,5.2,75.9,Type 2 Diabetes,Low
+CO2083,55,M,34.2,127.0,82.3,6.7,93.7,Heart Failure,Low
+CO2084,48,F,27.0,150.0,89.7,8.0,70.6,Type 2 Diabetes,Low
+CO2085,70,M,31.6,130.0,130.6,7.9,81.0,Obesity,Low
+CO2086,74,F,22.1,147.0,98.0,6.7,57.5,Hyperlipidemia,Low
+CO2087,30,M,23.1,132.0,129.1,5.6,38.1,Hypertension,Medium
+CO2088,50,F,16.0,144.0,103.5,6.5,59.8,Hyperlipidemia,Low
+CO2089,38,F,29.4,148.0,152.4,7.6,33.5,Heart Failure,Medium
+CO2090,75,M,28.1,109.0,97.4,8.1,81.1,Heart Failure,Medium
+CO2091,26,F,26.1,90.0,181.4,6.0,57.5,Asthma,Low
+CO2092,40,F,25.5,135.0,87.3,6.2,64.3,CKD,Low
+CO2093,84,F,30.4,133.0,79.0,8.1,76.8,COPD,Medium
+CO2094,75,F,27.8,162.0,103.6,4.9,57.2,Type 2 Diabetes,Medium
+CO2095,42,M,36.2,123.0,40.0,5.4,31.0,Heart Failure,Medium
+CO2096,31,M,33.2,150.0,181.9,4.9,22.3,COPD,Medium
+CO2097,76,F,38.3,143.0,161.8,10.8,65.1,Hypertension,High
+CO2098,45,M,24.6,176.0,187.4,6.8,118.8,Asthma,Medium
+CO2099,54,M,36.9,80.0,113.9,6.4,90.9,Type 2 Diabetes,Low
+CO2100,74,F,25.4,140.0,109.2,4.5,69.2,CKD,Low
+CO2101,74,F,33.5,139.0,150.7,4.8,83.2,Type 2 Diabetes,Low
+CO2102,44,F,24.3,99.0,169.7,5.3,80.7,COPD,Low
+CO2103,64,F,29.5,117.0,162.1,6.2,23.4,Hyperlipidemia,Medium
+CO2104,62,F,30.9,102.0,99.3,9.2,110.2,Obesity,Medium
+CO2105,50,F,38.4,132.0,149.1,4.5,29.0,Hypertension,Medium
+CO2106,51,F,23.8,117.0,142.6,5.3,110.0,CKD,Low
+CO2107,43,M,35.4,154.0,105.0,5.6,88.3,COPD,Low
+CO2108,22,M,31.5,178.0,83.8,8.0,70.3,CKD,High
+CO2109,53,F,34.3,114.0,68.6,6.1,95.8,Hypertension,Low
+CO2110,42,F,38.9,159.0,106.7,8.2,40.0,COPD,High
+CO2111,42,F,31.1,122.0,152.4,8.5,49.0,Obesity,Medium
+CO2112,75,F,25.0,148.0,149.6,5.7,31.2,CKD,Medium
+CO2113,57,F,31.5,108.0,87.9,8.1,79.7,Hyperlipidemia,Medium
+CO2114,56,F,29.8,190.0,117.5,6.9,88.5,Asthma,Medium
+CO2115,21,M,28.2,92.0,148.9,5.4,69.7,Heart Failure,Low
+CO2116,26,M,30.1,157.0,79.2,5.4,92.5,CKD,Low
+CO2117,68,M,25.3,143.0,141.9,8.2,89.8,Hyperlipidemia,Medium
+CO2118,40,M,35.1,124.0,139.9,7.7,90.9,Hyperlipidemia,Low
+CO2119,56,M,28.2,127.0,146.8,5.1,44.0,CKD,Medium
+CO2120,63,F,37.1,147.0,67.8,5.9,100.7,Hypertension,Low
+CO2121,79,M,28.9,122.0,79.9,7.3,80.0,Type 2 Diabetes,Low
+CO2122,25,F,28.1,184.0,146.3,6.4,46.8,Heart Failure,Medium
+CO2123,28,M,22.2,108.0,69.0,8.4,64.0,Hypertension,Medium
+CO2124,64,F,27.5,130.0,155.2,5.9,98.0,Hypertension,Low
+CO2125,75,M,16.0,120.0,49.6,4.5,98.6,Hypertension,Low
+CO2126,38,F,17.2,136.0,65.6,5.4,85.8,Hyperlipidemia,Low
+CO2127,74,M,29.0,124.0,161.7,5.1,37.1,Heart Failure,Medium
+CO2128,62,M,27.2,130.0,82.4,6.4,103.5,Atrial Fibrillation,Low
+CO2129,37,F,25.6,178.0,55.9,6.1,72.5,Obesity,Medium
+CO2130,53,M,27.1,141.0,85.6,5.9,93.3,CKD,Low
+CO2131,22,F,30.5,145.0,99.0,6.7,54.7,Heart Failure,Low
+CO2132,38,F,36.4,146.0,133.1,6.5,51.7,Heart Failure,Low
+CO2133,35,F,38.1,161.0,68.8,8.7,34.4,Heart Failure,High
+CO2134,43,F,25.5,137.0,93.5,4.5,24.6,Hypertension,Medium
+CO2135,80,M,16.6,143.0,89.2,4.5,101.8,Obesity,Low
+CO2136,69,F,23.0,80.0,128.0,8.5,27.8,Hypertension,High
+CO2137,55,F,33.0,85.0,117.4,7.8,50.3,Heart Failure,Low
+CO2138,43,F,24.3,136.0,116.1,4.9,70.0,COPD,Low
+CO2139,29,F,29.4,125.0,171.4,8.0,58.9,Hyperlipidemia,Low
+CO2140,72,F,25.9,118.0,113.3,8.4,59.8,Type 2 Diabetes,Medium
+CO2141,47,M,22.1,143.0,97.7,8.2,114.7,COPD,Medium
+CO2142,58,F,24.5,106.0,113.0,8.6,55.3,CKD,Medium
+CO2143,63,M,33.4,144.0,139.9,7.4,45.9,Hyperlipidemia,Low
+CO2144,63,F,29.4,132.0,174.8,4.9,59.1,CKD,Low
+CO2145,28,F,31.2,155.0,176.9,4.5,46.9,Hyperlipidemia,Low
+CO2146,62,M,21.1,139.0,115.4,7.1,62.3,Asthma,Low
+CO2147,74,F,29.3,94.0,114.0,4.5,113.2,Hypertension,Low
+CO2148,40,F,24.7,135.0,142.9,8.9,69.6,Atrial Fibrillation,Medium
+CO2149,62,F,26.0,150.0,158.3,9.5,42.0,Hypertension,High
+CO2150,69,M,36.5,120.0,178.2,5.4,105.2,CAD,Medium
+CO2151,78,F,29.2,145.0,52.6,7.1,39.6,Type 2 Diabetes,Medium
+CO2152,32,M,28.2,126.0,120.6,7.7,85.4,Heart Failure,Low
+CO2153,33,F,34.6,115.0,71.4,6.4,29.0,Atrial Fibrillation,Medium
+CO2154,44,F,33.9,122.0,226.6,8.8,67.2,Hyperlipidemia,Medium
+CO2155,24,F,34.8,173.0,102.5,6.5,88.1,Heart Failure,Medium
+CO2156,40,F,37.4,112.0,132.6,8.5,68.3,COPD,Medium
+CO2157,36,M,16.0,144.0,49.9,5.0,46.1,CAD,Low
+CO2158,82,F,34.2,130.0,175.7,8.2,58.8,Heart Failure,Medium
+CO2159,42,M,27.5,125.0,139.8,5.9,75.7,Hyperlipidemia,Low
+CO2160,46,M,22.0,110.0,134.5,4.5,63.4,Obesity,Low
+CO2161,58,F,22.9,150.0,172.1,4.7,106.5,Hypertension,Low
+CO2162,54,F,26.0,136.0,52.1,6.7,81.7,Atrial Fibrillation,Low
+CO2163,57,M,23.5,179.0,87.9,5.7,62.8,Type 2 Diabetes,Medium
+CO2164,23,M,27.4,126.0,61.4,5.8,79.3,Heart Failure,Low
+CO2165,31,M,18.9,92.0,127.8,8.8,130.0,Obesity,Medium
+CO2166,84,M,25.0,110.0,149.5,8.2,88.7,COPD,Medium
+CO2167,74,F,28.8,122.0,144.3,8.1,63.0,CAD,Medium
+CO2168,50,M,33.6,132.0,53.1,7.4,86.2,Asthma,Low
+CO2169,27,F,16.0,126.0,40.8,6.6,68.1,Heart Failure,Low
+CO2170,49,F,23.2,147.0,115.1,7.4,68.2,Obesity,Low
+CO2171,25,F,31.8,118.0,112.9,5.5,50.0,CKD,Low
+CO2172,34,M,39.2,143.0,148.9,7.0,55.0,Obesity,Low
+CO2173,82,F,21.5,91.0,163.0,6.7,45.5,COPD,Low
+CO2174,21,M,30.8,154.0,124.3,5.5,114.5,Heart Failure,Low
+CO2175,34,M,25.7,101.0,98.7,9.1,73.7,COPD,Medium
+CO2176,62,F,23.9,145.0,135.3,8.9,97.6,Obesity,Medium
+CO2177,44,F,22.3,136.0,138.4,4.5,88.5,Hypertension,Low
+CO2178,32,M,27.9,106.0,40.0,6.4,63.4,Heart Failure,Low
+CO2179,33,M,28.8,139.0,84.7,4.5,62.8,COPD,Low
+CO2180,34,F,26.1,119.0,109.4,8.9,88.2,Type 2 Diabetes,Medium
+CO2181,70,M,25.1,109.0,140.4,4.5,42.7,CKD,Medium
+CO2182,53,M,25.0,132.0,100.9,7.9,72.6,Heart Failure,Low
+CO2183,66,F,19.0,110.0,181.2,5.1,87.0,Heart Failure,Low
+CO2184,75,F,27.3,146.0,107.0,7.7,103.4,Type 2 Diabetes,Low
+CO2185,28,M,34.7,177.0,120.6,5.6,70.8,Asthma,Medium
+CO2186,38,F,30.9,126.0,128.5,6.5,46.7,Obesity,Low
+CO2187,82,F,21.4,153.0,115.1,7.2,63.4,Obesity,Low
+CO2188,31,M,26.0,127.0,150.3,7.7,71.3,Hyperlipidemia,Low
+CO2189,35,F,33.9,151.0,89.2,7.2,91.1,CAD,Low
+CO2190,31,M,30.0,116.0,114.9,6.2,108.1,Heart Failure,Low
+CO2191,37,M,33.6,112.0,105.7,10.2,54.5,Heart Failure,Medium
+CO2192,53,M,23.3,80.0,154.7,4.8,70.3,Obesity,Low
+CO2193,65,M,40.6,123.0,126.9,6.9,82.0,CKD,Low
+CO2194,73,F,35.3,149.0,94.7,5.9,77.3,Hypertension,Low
+CO2195,20,M,41.7,123.0,74.9,6.3,53.7,Heart Failure,Low
+CO2196,55,M,28.1,145.0,106.8,7.7,64.2,Obesity,Low
+CO2197,82,F,38.9,138.0,106.9,5.4,30.5,Asthma,Medium
+CO2198,70,M,38.4,141.0,88.6,6.6,38.4,Obesity,Medium
+CO2199,81,F,21.2,134.0,163.7,6.7,122.1,Hypertension,Low
+CO2200,52,F,41.7,183.0,80.8,6.3,27.2,CKD,High
diff --git a/medical-imaging-demo/data/labs.csv b/medical-imaging-demo/data/labs.csv
new file mode 100644
index 0000000..c9a9491
--- /dev/null
+++ b/medical-imaging-demo/data/labs.csv
@@ -0,0 +1,201 @@
+patient_id,date,test,value,unit,reference_low,reference_high,flag
+PT1001,2026-06-15,WBC,11.298,10³/µL,4.5,11.0,H
+PT1001,2026-06-15,Hemoglobin,14.334,g/dL,12.0,17.5,N
+PT1001,2026-06-15,Platelets,222.4,10³/µL,150.0,400.0,N
+PT1001,2026-06-15,Sodium,140.412,mEq/L,136.0,145.0,N
+PT1001,2026-06-15,Potassium,3.957,mEq/L,3.5,5.0,N
+PT1001,2026-06-15,Creatinine,1.149,mg/dL,0.7,1.3,N
+PT1001,2026-06-15,BUN,12.525,mg/dL,7.0,25.0,N
+PT1001,2026-06-15,Glucose,96.633,mg/dL,70.0,100.0,N
+PT1001,2026-06-15,Lactate,1.473,mmol/L,0.5,2.0,N
+PT1001,2026-06-15,Troponin,0.028,ng/mL,0.0,0.04,N
+PT1002,2026-06-15,WBC,9.094,10³/µL,4.5,11.0,N
+PT1002,2026-06-15,Hemoglobin,16.156,g/dL,12.0,17.5,N
+PT1002,2026-06-15,Platelets,251.797,10³/µL,150.0,400.0,N
+PT1002,2026-06-15,Sodium,137.859,mEq/L,136.0,145.0,N
+PT1002,2026-06-15,Potassium,4.036,mEq/L,3.5,5.0,N
+PT1002,2026-06-15,Creatinine,1.167,mg/dL,0.7,1.3,N
+PT1002,2026-06-15,BUN,6.461,mg/dL,7.0,25.0,L
+PT1002,2026-06-15,Glucose,67.004,mg/dL,70.0,100.0,L
+PT1002,2026-06-15,Lactate,1.351,mmol/L,0.5,2.0,N
+PT1002,2026-06-15,Troponin,0.03,ng/mL,0.0,0.04,N
+PT1003,2026-06-15,WBC,9.661,10³/µL,4.5,11.0,N
+PT1003,2026-06-15,Hemoglobin,13.181,g/dL,12.0,17.5,N
+PT1003,2026-06-15,Platelets,186.533,10³/µL,150.0,400.0,N
+PT1003,2026-06-15,Sodium,138.647,mEq/L,136.0,145.0,N
+PT1003,2026-06-15,Potassium,4.073,mEq/L,3.5,5.0,N
+PT1003,2026-06-15,Creatinine,0.94,mg/dL,0.7,1.3,N
+PT1003,2026-06-15,BUN,16.654,mg/dL,7.0,25.0,N
+PT1003,2026-06-15,Glucose,97.651,mg/dL,70.0,100.0,N
+PT1003,2026-06-15,Lactate,1.223,mmol/L,0.5,2.0,N
+PT1003,2026-06-15,Troponin,0.031,ng/mL,0.0,0.04,N
+PT1004,2026-06-15,WBC,9.027,10³/µL,4.5,11.0,N
+PT1004,2026-06-15,Hemoglobin,13.578,g/dL,12.0,17.5,N
+PT1004,2026-06-15,Platelets,323.232,10³/µL,150.0,400.0,N
+PT1004,2026-06-15,Sodium,142.051,mEq/L,136.0,145.0,N
+PT1004,2026-06-15,Potassium,4.25,mEq/L,3.5,5.0,N
+PT1004,2026-06-15,Creatinine,1.031,mg/dL,0.7,1.3,N
+PT1004,2026-06-15,BUN,15.688,mg/dL,7.0,25.0,N
+PT1004,2026-06-15,Glucose,75.172,mg/dL,70.0,100.0,N
+PT1004,2026-06-15,Lactate,2.315,mmol/L,0.5,2.0,H
+PT1004,2026-06-15,Troponin,0.033,ng/mL,0.0,0.04,N
+PT1005,2026-06-15,WBC,8.778,10³/µL,4.5,11.0,N
+PT1005,2026-06-15,Hemoglobin,14.081,g/dL,12.0,17.5,N
+PT1005,2026-06-15,Platelets,268.115,10³/µL,150.0,400.0,N
+PT1005,2026-06-15,Sodium,137.337,mEq/L,136.0,145.0,N
+PT1005,2026-06-15,Potassium,4.461,mEq/L,3.5,5.0,N
+PT1005,2026-06-15,Creatinine,1.061,mg/dL,0.7,1.3,N
+PT1005,2026-06-15,BUN,14.885,mg/dL,7.0,25.0,N
+PT1005,2026-06-15,Glucose,85.269,mg/dL,70.0,100.0,N
+PT1005,2026-06-15,Lactate,1.116,mmol/L,0.5,2.0,N
+PT1005,2026-06-15,Troponin,0.014,ng/mL,0.0,0.04,N
+PT1006,2026-06-15,WBC,6.236,10³/µL,4.5,11.0,N
+PT1006,2026-06-15,Hemoglobin,13.066,g/dL,12.0,17.5,N
+PT1006,2026-06-15,Platelets,222.357,10³/µL,150.0,400.0,N
+PT1006,2026-06-15,Sodium,138.812,mEq/L,136.0,145.0,N
+PT1006,2026-06-15,Potassium,4.74,mEq/L,3.5,5.0,N
+PT1006,2026-06-15,Creatinine,0.889,mg/dL,0.7,1.3,N
+PT1006,2026-06-15,BUN,5.016,mg/dL,7.0,25.0,L
+PT1006,2026-06-15,Glucose,87.625,mg/dL,70.0,100.0,N
+PT1006,2026-06-15,Lactate,1.531,mmol/L,0.5,2.0,N
+PT1006,2026-06-15,Troponin,0.032,ng/mL,0.0,0.04,N
+PT1007,2026-06-15,WBC,8.074,10³/µL,4.5,11.0,N
+PT1007,2026-06-15,Hemoglobin,12.869,g/dL,12.0,17.5,N
+PT1007,2026-06-15,Platelets,215.08,10³/µL,150.0,400.0,N
+PT1007,2026-06-15,Sodium,142.12,mEq/L,136.0,145.0,N
+PT1007,2026-06-15,Potassium,4.907,mEq/L,3.5,5.0,N
+PT1007,2026-06-15,Creatinine,0.794,mg/dL,0.7,1.3,N
+PT1007,2026-06-15,BUN,17.144,mg/dL,7.0,25.0,N
+PT1007,2026-06-15,Glucose,80.006,mg/dL,70.0,100.0,N
+PT1007,2026-06-15,Lactate,0.879,mmol/L,0.5,2.0,N
+PT1007,2026-06-15,Troponin,0.02,ng/mL,0.0,0.04,N
+PT1008,2026-06-15,WBC,7.489,10³/µL,4.5,11.0,N
+PT1008,2026-06-15,Hemoglobin,11.409,g/dL,12.0,17.5,L
+PT1008,2026-06-15,Platelets,290.119,10³/µL,150.0,400.0,N
+PT1008,2026-06-15,Sodium,141.386,mEq/L,136.0,145.0,N
+PT1008,2026-06-15,Potassium,4.586,mEq/L,3.5,5.0,N
+PT1008,2026-06-15,Creatinine,0.897,mg/dL,0.7,1.3,N
+PT1008,2026-06-15,BUN,7.426,mg/dL,7.0,25.0,N
+PT1008,2026-06-15,Glucose,81.208,mg/dL,70.0,100.0,N
+PT1008,2026-06-15,Lactate,1.568,mmol/L,0.5,2.0,N
+PT1008,2026-06-15,Troponin,0.019,ng/mL,0.0,0.04,N
+PT1009,2026-06-15,WBC,9.406,10³/µL,4.5,11.0,N
+PT1009,2026-06-15,Hemoglobin,12.604,g/dL,12.0,17.5,N
+PT1009,2026-06-15,Platelets,335.907,10³/µL,150.0,400.0,N
+PT1009,2026-06-15,Sodium,141.172,mEq/L,136.0,145.0,N
+PT1009,2026-06-15,Potassium,4.09,mEq/L,3.5,5.0,N
+PT1009,2026-06-15,Creatinine,1.193,mg/dL,0.7,1.3,N
+PT1009,2026-06-15,BUN,17.296,mg/dL,7.0,25.0,N
+PT1009,2026-06-15,Glucose,76.142,mg/dL,70.0,100.0,N
+PT1009,2026-06-15,Lactate,1.692,mmol/L,0.5,2.0,N
+PT1009,2026-06-15,Troponin,0.017,ng/mL,0.0,0.04,N
+PT1010,2026-06-15,WBC,7.822,10³/µL,4.5,11.0,N
+PT1010,2026-06-15,Hemoglobin,13.326,g/dL,12.0,17.5,N
+PT1010,2026-06-15,Platelets,271.124,10³/µL,150.0,400.0,N
+PT1010,2026-06-15,Sodium,137.946,mEq/L,136.0,145.0,N
+PT1010,2026-06-15,Potassium,4.173,mEq/L,3.5,5.0,N
+PT1010,2026-06-15,Creatinine,1.006,mg/dL,0.7,1.3,N
+PT1010,2026-06-15,BUN,19.271,mg/dL,7.0,25.0,N
+PT1010,2026-06-15,Glucose,72.341,mg/dL,70.0,100.0,N
+PT1010,2026-06-15,Lactate,1.701,mmol/L,0.5,2.0,N
+PT1010,2026-06-15,Troponin,0.032,ng/mL,0.0,0.04,N
+PT1011,2026-06-15,WBC,7.381,10³/µL,4.5,11.0,N
+PT1011,2026-06-15,Hemoglobin,14.963,g/dL,12.0,17.5,N
+PT1011,2026-06-15,Platelets,297.989,10³/µL,150.0,400.0,N
+PT1011,2026-06-15,Sodium,140.725,mEq/L,136.0,145.0,N
+PT1011,2026-06-15,Potassium,4.522,mEq/L,3.5,5.0,N
+PT1011,2026-06-15,Creatinine,0.93,mg/dL,0.7,1.3,N
+PT1011,2026-06-15,BUN,11.895,mg/dL,7.0,25.0,N
+PT1011,2026-06-15,Glucose,88.854,mg/dL,70.0,100.0,N
+PT1011,2026-06-15,Lactate,0.563,mmol/L,0.5,2.0,N
+PT1011,2026-06-15,Troponin,0.027,ng/mL,0.0,0.04,N
+PT1012,2026-06-15,WBC,9.159,10³/µL,4.5,11.0,N
+PT1012,2026-06-15,Hemoglobin,13.459,g/dL,12.0,17.5,N
+PT1012,2026-06-15,Platelets,381.657,10³/µL,150.0,400.0,N
+PT1012,2026-06-15,Sodium,139.552,mEq/L,136.0,145.0,N
+PT1012,2026-06-15,Potassium,4.053,mEq/L,3.5,5.0,N
+PT1012,2026-06-15,Creatinine,0.882,mg/dL,0.7,1.3,N
+PT1012,2026-06-15,BUN,18.42,mg/dL,7.0,25.0,N
+PT1012,2026-06-15,Glucose,81.478,mg/dL,70.0,100.0,N
+PT1012,2026-06-15,Lactate,0.603,mmol/L,0.5,2.0,N
+PT1012,2026-06-15,Troponin,0.024,ng/mL,0.0,0.04,N
+PT1013,2026-06-15,WBC,7.182,10³/µL,4.5,11.0,N
+PT1013,2026-06-15,Hemoglobin,16.542,g/dL,12.0,17.5,N
+PT1013,2026-06-15,Platelets,298.158,10³/µL,150.0,400.0,N
+PT1013,2026-06-15,Sodium,141.219,mEq/L,136.0,145.0,N
+PT1013,2026-06-15,Potassium,4.707,mEq/L,3.5,5.0,N
+PT1013,2026-06-15,Creatinine,1.029,mg/dL,0.7,1.3,N
+PT1013,2026-06-15,BUN,20.224,mg/dL,7.0,25.0,N
+PT1013,2026-06-15,Glucose,79.151,mg/dL,70.0,100.0,N
+PT1013,2026-06-15,Lactate,1.991,mmol/L,0.5,2.0,N
+PT1013,2026-06-15,Troponin,0.023,ng/mL,0.0,0.04,N
+PT1014,2026-06-15,WBC,5.407,10³/µL,4.5,11.0,N
+PT1014,2026-06-15,Hemoglobin,14.977,g/dL,12.0,17.5,N
+PT1014,2026-06-15,Platelets,289.0,10³/µL,150.0,400.0,N
+PT1014,2026-06-15,Sodium,140.837,mEq/L,136.0,145.0,N
+PT1014,2026-06-15,Potassium,3.215,mEq/L,3.5,5.0,L
+PT1014,2026-06-15,Creatinine,0.901,mg/dL,0.7,1.3,N
+PT1014,2026-06-15,BUN,8.533,mg/dL,7.0,25.0,N
+PT1014,2026-06-15,Glucose,72.685,mg/dL,70.0,100.0,N
+PT1014,2026-06-15,Lactate,1.325,mmol/L,0.5,2.0,N
+PT1014,2026-06-15,Troponin,0.013,ng/mL,0.0,0.04,N
+PT1015,2026-06-15,WBC,7.041,10³/µL,4.5,11.0,N
+PT1015,2026-06-15,Hemoglobin,13.273,g/dL,12.0,17.5,N
+PT1015,2026-06-15,Platelets,378.448,10³/µL,150.0,400.0,N
+PT1015,2026-06-15,Sodium,140.608,mEq/L,136.0,145.0,N
+PT1015,2026-06-15,Potassium,3.565,mEq/L,3.5,5.0,N
+PT1015,2026-06-15,Creatinine,1.116,mg/dL,0.7,1.3,N
+PT1015,2026-06-15,BUN,14.15,mg/dL,7.0,25.0,N
+PT1015,2026-06-15,Glucose,95.743,mg/dL,70.0,100.0,N
+PT1015,2026-06-15,Lactate,1.246,mmol/L,0.5,2.0,N
+PT1015,2026-06-15,Troponin,0.012,ng/mL,0.0,0.04,N
+PT1016,2026-06-15,WBC,6.693,10³/µL,4.5,11.0,N
+PT1016,2026-06-15,Hemoglobin,14.086,g/dL,12.0,17.5,N
+PT1016,2026-06-15,Platelets,311.732,10³/µL,150.0,400.0,N
+PT1016,2026-06-15,Sodium,138.38,mEq/L,136.0,145.0,N
+PT1016,2026-06-15,Potassium,4.81,mEq/L,3.5,5.0,N
+PT1016,2026-06-15,Creatinine,1.066,mg/dL,0.7,1.3,N
+PT1016,2026-06-15,BUN,17.212,mg/dL,7.0,25.0,N
+PT1016,2026-06-15,Glucose,85.657,mg/dL,70.0,100.0,N
+PT1016,2026-06-15,Lactate,1.241,mmol/L,0.5,2.0,N
+PT1016,2026-06-15,Troponin,0.005,ng/mL,0.0,0.04,N
+PT1017,2026-06-15,WBC,8.32,10³/µL,4.5,11.0,N
+PT1017,2026-06-15,Hemoglobin,17.927,g/dL,12.0,17.5,H
+PT1017,2026-06-15,Platelets,326.887,10³/µL,150.0,400.0,N
+PT1017,2026-06-15,Sodium,141.684,mEq/L,136.0,145.0,N
+PT1017,2026-06-15,Potassium,3.559,mEq/L,3.5,5.0,N
+PT1017,2026-06-15,Creatinine,1.196,mg/dL,0.7,1.3,N
+PT1017,2026-06-15,BUN,20.334,mg/dL,7.0,25.0,N
+PT1017,2026-06-15,Glucose,95.507,mg/dL,70.0,100.0,N
+PT1017,2026-06-15,Lactate,0.843,mmol/L,0.5,2.0,N
+PT1017,2026-06-15,Troponin,0.015,ng/mL,0.0,0.04,N
+PT1018,2026-06-15,WBC,4.853,10³/µL,4.5,11.0,N
+PT1018,2026-06-15,Hemoglobin,12.159,g/dL,12.0,17.5,N
+PT1018,2026-06-15,Platelets,231.731,10³/µL,150.0,400.0,N
+PT1018,2026-06-15,Sodium,141.763,mEq/L,136.0,145.0,N
+PT1018,2026-06-15,Potassium,4.063,mEq/L,3.5,5.0,N
+PT1018,2026-06-15,Creatinine,0.88,mg/dL,0.7,1.3,N
+PT1018,2026-06-15,BUN,17.833,mg/dL,7.0,25.0,N
+PT1018,2026-06-15,Glucose,55.821,mg/dL,70.0,100.0,L
+PT1018,2026-06-15,Lactate,1.006,mmol/L,0.5,2.0,N
+PT1018,2026-06-15,Troponin,0.024,ng/mL,0.0,0.04,N
+PT1019,2026-06-15,WBC,6.963,10³/µL,4.5,11.0,N
+PT1019,2026-06-15,Hemoglobin,16.894,g/dL,12.0,17.5,N
+PT1019,2026-06-15,Platelets,225.403,10³/µL,150.0,400.0,N
+PT1019,2026-06-15,Sodium,138.901,mEq/L,136.0,145.0,N
+PT1019,2026-06-15,Potassium,3.806,mEq/L,3.5,5.0,N
+PT1019,2026-06-15,Creatinine,0.864,mg/dL,0.7,1.3,N
+PT1019,2026-06-15,BUN,17.496,mg/dL,7.0,25.0,N
+PT1019,2026-06-15,Glucose,92.273,mg/dL,70.0,100.0,N
+PT1019,2026-06-15,Lactate,2.22,mmol/L,0.5,2.0,H
+PT1019,2026-06-15,Troponin,0.027,ng/mL,0.0,0.04,N
+PT1020,2026-06-15,WBC,5.453,10³/µL,4.5,11.0,N
+PT1020,2026-06-15,Hemoglobin,16.799,g/dL,12.0,17.5,N
+PT1020,2026-06-15,Platelets,311.535,10³/µL,150.0,400.0,N
+PT1020,2026-06-15,Sodium,140.577,mEq/L,136.0,145.0,N
+PT1020,2026-06-15,Potassium,4.73,mEq/L,3.5,5.0,N
+PT1020,2026-06-15,Creatinine,1.426,mg/dL,0.7,1.3,H
+PT1020,2026-06-15,BUN,14.979,mg/dL,7.0,25.0,N
+PT1020,2026-06-15,Glucose,77.503,mg/dL,70.0,100.0,N
+PT1020,2026-06-15,Lactate,1.847,mmol/L,0.5,2.0,N
+PT1020,2026-06-15,Troponin,0.052,ng/mL,0.0,0.04,H
diff --git a/medical-imaging-demo/data/patients.csv b/medical-imaging-demo/data/patients.csv
new file mode 100644
index 0000000..888ce80
--- /dev/null
+++ b/medical-imaging-demo/data/patients.csv
@@ -0,0 +1,61 @@
+patient_id,name,age,gender,diagnosis,ward,department,admitted_date,los_days,risk_score,sepsis_risk,fall_risk,readmit_risk,deterioration_risk,is_icu
+PT1001,Mark White,82,M,Trauma,ICU,Pulmonology,2026-06-03,7,41.6,7.3,47.3,11.1,36.9,True
+PT1002,Robert Jones,72,M,Acute MI,MICU,Cardiology,2026-06-07,2,12.5,4.9,17.3,52.1,13.3,True
+PT1003,Matthew Nelson,61,M,Cellulitis,CCU,Pulmonology,2026-06-15,5,32.5,6.9,8.2,33.6,21.8,True
+PT1004,Daniel Allen,83,F,Acute MI,ICU,Neurology,2026-06-12,8,55.2,15.0,28.8,73.9,14.1,True
+PT1005,Charles Hall,49,F,Pulmonary Embolism,MICU,Surgery,2026-06-14,9,34.7,7.7,16.5,14.2,43.2,True
+PT1006,Nancy Wilson,73,M,Atrial Fibrillation,MICU,Cardiology,2026-06-10,4,51.9,11.3,33.3,44.5,29.2,True
+PT1007,Jessica Harris,80,F,Cellulitis,Step-Down,Neurology,2026-06-04,12,6.9,3.2,14.6,54.3,2.0,False
+PT1008,Anthony Allen,30,M,COPD Exacerbation,ED Obs,Neurology,2026-06-03,4,26.9,20.5,44.1,9.6,24.6,False
+PT1009,Charles Hall,43,F,Atrial Fibrillation,ICU,Nephrology,2026-06-06,13,40.6,22.7,60.2,24.5,24.2,True
+PT1010,Robert Thompson,46,F,Respiratory Failure,Step-Down,Nephrology,2026-06-10,3,17.8,4.3,32.0,43.7,11.7,False
+PT1011,Jessica Jackson,36,F,Sepsis,General Med,Pulmonology,2026-06-07,6,25.1,13.2,2.4,31.6,30.6,False
+PT1012,Betty Walker,83,M,Respiratory Failure,Step-Down,Cardiology,2026-06-12,5,4.1,21.5,66.6,23.8,25.6,False
+PT1013,Karen Moore,40,F,Pneumonia,ED Obs,Surgery,2026-06-13,4,25.4,32.5,18.1,43.5,14.1,False
+PT1014,Barbara Scott,55,M,GI Bleed,Step-Down,Oncology,2026-06-04,10,34.1,21.5,15.7,23.4,9.6,False
+PT1015,Sandra Lewis,34,M,COPD Exacerbation,ED Obs,Cardiology,2026-06-04,12,43.5,36.4,22.3,19.5,11.5,False
+PT1016,Betty Anderson,38,M,Stroke,General Med,Oncology,2026-06-14,13,32.2,1.9,15.9,58.2,4.0,False
+PT1017,Sarah Baker,79,F,Diabetic Ketoacidosis,Step-Down,Surgery,2026-06-15,9,28.4,5.9,3.0,21.6,12.0,False
+PT1018,Robert Harris,78,M,Diabetic Ketoacidosis,General Med,Pulmonology,2026-06-08,6,67.1,0.8,15.8,11.5,1.9,False
+PT1019,Daniel King,54,F,Pneumonia,ICU,Pulmonology,2026-06-15,1,55.3,6.6,15.7,43.5,9.5,True
+PT1020,James Martin,53,F,Diabetic Ketoacidosis,CCU,Oncology,2026-06-08,7,15.8,10.7,11.7,39.3,1.0,True
+PT1021,Jennifer Smith,51,M,Pulmonary Embolism,Step-Down,Neurology,2026-06-01,5,14.4,1.5,53.8,60.3,30.0,False
+PT1022,Charles Young,42,M,Sepsis,General Med,General Medicine,2026-06-10,13,32.0,5.5,13.4,37.5,14.2,False
+PT1023,Betty Jackson,80,F,COPD Exacerbation,General Med,Oncology,2026-06-03,7,56.2,1.8,21.8,41.9,21.1,False
+PT1024,Charles Moore,62,M,Stroke,General Med,General Medicine,2026-06-10,2,45.9,24.6,32.7,53.7,0.7,False
+PT1025,Patricia Young,41,M,Diabetic Ketoacidosis,ED Obs,Oncology,2026-06-01,10,22.0,38.2,32.9,67.0,16.9,False
+PT1026,Mary Anderson,56,M,UTI,ED Obs,Nephrology,2026-06-12,13,35.8,20.1,38.3,5.9,9.0,False
+PT1027,Susan Walker,72,M,COPD Exacerbation,Step-Down,Nephrology,2026-06-06,3,4.9,11.2,22.8,32.2,33.1,False
+PT1028,Nancy White,50,F,Acute MI,MICU,Surgery,2026-06-15,4,31.4,1.7,19.4,12.8,34.3,True
+PT1029,Margaret Scott,30,F,COPD Exacerbation,MICU,Surgery,2026-06-14,8,25.5,6.4,3.4,22.5,8.6,True
+PT1030,Anthony Young,75,F,GI Bleed,ICU,Oncology,2026-06-04,6,11.5,18.2,17.1,28.2,22.7,True
+PT1031,Charles Thompson,22,F,COPD Exacerbation,General Med,Oncology,2026-06-02,2,2.6,13.0,32.7,15.8,24.7,False
+PT1032,Charles Smith,29,F,COPD Exacerbation,General Med,Nephrology,2026-06-08,14,14.0,22.0,40.0,12.8,1.9,False
+PT1033,Mary Walker,65,M,Heart Failure,General Med,Pulmonology,2026-06-06,12,41.5,35.7,7.7,5.2,8.2,False
+PT1034,Jennifer Green,61,F,Diabetic Ketoacidosis,ED Obs,Surgery,2026-06-09,5,9.1,23.8,25.3,8.7,20.0,False
+PT1035,Karen Young,83,M,Cellulitis,ICU,Neurology,2026-06-02,9,19.4,39.2,25.4,3.4,3.8,True
+PT1036,Christopher Martin,46,F,GI Bleed,General Med,General Medicine,2026-06-15,11,37.4,19.5,39.6,6.9,3.3,False
+PT1037,Thomas Brown,46,M,Sepsis,Step-Down,Cardiology,2026-06-13,10,16.4,21.8,26.9,16.3,20.7,False
+PT1038,Joseph Martin,89,F,Hypertensive Crisis,ICU,Pulmonology,2026-06-05,13,33.2,14.2,19.3,22.3,11.6,True
+PT1039,Karen Scott,82,M,Pulmonary Embolism,General Med,Neurology,2026-06-02,2,40.7,4.7,39.7,29.9,47.3,False
+PT1040,Betty Thompson,58,F,Cellulitis,General Med,General Medicine,2026-06-05,13,52.6,3.7,8.6,27.2,18.1,False
+PT1041,William Thomas,79,M,COPD Exacerbation,MICU,Oncology,2026-06-07,10,36.8,5.9,39.0,21.8,42.5,True
+PT1042,Margaret White,58,M,Stroke,Step-Down,General Medicine,2026-06-04,4,38.6,3.1,7.7,19.8,23.4,False
+PT1043,Mark Taylor,53,F,Respiratory Failure,General Med,Nephrology,2026-06-04,6,7.3,10.3,44.2,63.9,5.5,False
+PT1044,Karen Jackson,36,M,Atrial Fibrillation,ED Obs,Nephrology,2026-06-07,1,36.7,3.3,23.7,15.0,30.0,False
+PT1045,Elizabeth Wright,67,F,Respiratory Failure,MICU,Nephrology,2026-06-06,12,35.8,14.6,20.6,27.3,14.8,True
+PT1046,Michael Wilson,29,F,Sepsis,ED Obs,General Medicine,2026-06-14,4,39.2,22.2,64.2,6.9,20.4,False
+PT1047,Joseph Smith,28,F,Pneumonia,ICU,Nephrology,2026-06-05,10,59.8,9.7,69.1,14.8,3.3,True
+PT1048,Elizabeth Jackson,23,M,Acute MI,MICU,Surgery,2026-06-06,13,17.9,7.4,19.3,40.0,37.4,True
+PT1049,Elizabeth Nelson,22,M,Heart Failure,General Med,Neurology,2026-06-12,1,58.1,1.4,23.8,58.7,21.7,False
+PT1050,Sarah King,64,F,Sepsis,Step-Down,Cardiology,2026-06-02,13,9.6,35.5,7.8,34.5,10.0,False
+PT1051,Christopher Harris,90,M,Pulmonary Embolism,General Med,Nephrology,2026-06-12,2,44.6,17.8,32.4,48.9,7.4,False
+PT1052,Thomas Martin,56,F,Stroke,General Med,Pulmonology,2026-06-11,3,45.8,20.2,35.1,71.2,32.0,False
+PT1053,Joseph Wright,57,M,COPD Exacerbation,ICU,Oncology,2026-06-04,5,8.9,21.1,35.0,33.2,6.6,True
+PT1054,Elizabeth King,66,F,Respiratory Failure,General Med,Neurology,2026-06-13,7,18.8,20.6,19.2,27.9,28.6,False
+PT1055,Elizabeth Johnson,54,M,Acute MI,CCU,Cardiology,2026-06-06,5,7.7,42.8,66.1,44.4,42.9,True
+PT1056,Patricia Thomas,70,F,Sepsis,Step-Down,General Medicine,2026-06-05,12,8.4,21.0,19.0,34.9,4.4,False
+PT1057,Jessica Anderson,38,F,Diabetic Ketoacidosis,General Med,General Medicine,2026-06-03,14,18.1,27.8,22.1,48.3,6.1,False
+PT1058,Daniel Scott,89,F,Trauma,Step-Down,Nephrology,2026-06-03,6,36.3,11.2,28.7,15.5,14.9,False
+PT1059,Mark Lewis,24,M,GI Bleed,General Med,Nephrology,2026-06-09,13,33.6,36.6,22.7,13.0,17.2,False
+PT1060,Charles Miller,37,F,Pneumonia,Step-Down,General Medicine,2026-06-04,7,26.8,5.8,47.1,51.5,4.8,False
diff --git a/medical-imaging-demo/data/studies.csv b/medical-imaging-demo/data/studies.csv
new file mode 100644
index 0000000..9dd92e8
--- /dev/null
+++ b/medical-imaging-demo/data/studies.csv
@@ -0,0 +1,9 @@
+study_id,patient_id,patient_name,age,gender,view_position,finding_labels,study_date,accession,image_file,referrer
+ST0001,PT1001,Mark White,45,M,PA,No Finding,2026-06-15,ACC515886,xray_01.png,Dr. Smith
+ST0002,PT1002,Robert Jones,67,F,PA,Cardiomegaly,2026-06-15,ACC382218,xray_02.png,Dr. Baker
+ST0003,PT1003,Matthew Nelson,72,M,AP,Pleural Effusion|Cardiomegaly,2026-06-15,ACC381137,xray_03.png,Dr. Williams
+ST0004,PT1004,Daniel Allen,58,F,PA,Pneumonia|Consolidation,2026-06-15,ACC526207,xray_04.png,Dr. Baker
+ST0005,PT1005,Charles Hall,81,M,AP,Atelectasis,2026-06-15,ACC802856,xray_05.png,Dr. King
+ST0006,PT1006,Nancy Wilson,63,F,PA,Nodule,2026-06-15,ACC224291,xray_06.png,Dr. King
+ST0007,PT1007,Jessica Harris,34,M,AP,Pneumothorax,2026-06-15,ACC124300,xray_07.png,Dr. Wilson
+ST0008,PT1008,Anthony Allen,69,F,PA,Mass,2026-06-15,ACC206818,xray_08.png,Dr. Harris
diff --git a/medical-imaging-demo/data/vitals.csv b/medical-imaging-demo/data/vitals.csv
new file mode 100644
index 0000000..c6a7082
--- /dev/null
+++ b/medical-imaging-demo/data/vitals.csv
@@ -0,0 +1,2305 @@
+patient_id,timestamp,HR,SpO2,Temp,SysBP,DiaBP,RR
+PT1001,2026-06-14 00:00:00,70.7,98.9,37.4,119.6,76.7,13.5
+PT1001,2026-06-14 00:15:00,70.2,98.6,37.1,120.6,74.6,13.2
+PT1001,2026-06-14 00:30:00,72.8,98.5,37.2,119.7,75.7,12.7
+PT1001,2026-06-14 00:45:00,74.3,98.4,37.0,121.7,76.1,12.4
+PT1001,2026-06-14 01:00:00,73.8,98.4,36.4,122.1,77.0,12.6
+PT1001,2026-06-14 01:15:00,73.7,98.0,37.1,121.5,76.8,13.0
+PT1001,2026-06-14 01:30:00,74.0,98.2,37.1,124.0,76.7,13.1
+PT1001,2026-06-14 01:45:00,73.3,98.0,37.5,119.4,75.0,12.4
+PT1001,2026-06-14 02:00:00,73.5,98.0,37.2,118.0,75.1,12.0
+PT1001,2026-06-14 02:15:00,73.8,97.8,36.9,116.2,76.5,12.0
+PT1001,2026-06-14 02:30:00,73.4,97.5,37.8,116.1,77.8,12.0
+PT1001,2026-06-14 02:45:00,73.9,97.6,36.5,114.3,77.4,11.7
+PT1001,2026-06-14 03:00:00,75.0,97.4,37.0,112.7,77.7,11.9
+PT1001,2026-06-14 03:15:00,75.0,97.6,36.7,112.0,78.2,11.2
+PT1001,2026-06-14 03:30:00,75.7,97.3,36.9,112.5,78.0,11.1
+PT1001,2026-06-14 03:45:00,76.8,97.8,36.7,113.1,78.4,10.8
+PT1001,2026-06-14 04:00:00,76.7,97.5,36.8,109.6,79.7,11.1
+PT1001,2026-06-14 04:15:00,77.0,97.8,37.5,110.0,77.9,11.0
+PT1001,2026-06-14 04:30:00,77.3,97.9,37.2,110.6,76.6,10.8
+PT1001,2026-06-14 04:45:00,78.2,98.2,36.8,108.9,77.2,11.3
+PT1001,2026-06-14 05:00:00,80.0,98.6,37.3,114.2,77.6,11.4
+PT1001,2026-06-14 05:15:00,80.9,98.9,36.8,115.7,77.4,11.8
+PT1001,2026-06-14 05:30:00,80.9,99.3,37.2,113.2,76.4,12.1
+PT1001,2026-06-14 05:45:00,79.8,99.2,37.6,110.9,77.9,12.0
+PT1001,2026-06-14 06:00:00,79.8,99.1,37.9,110.3,77.5,12.1
+PT1001,2026-06-14 06:15:00,79.4,99.0,37.2,110.4,79.1,11.5
+PT1001,2026-06-14 06:30:00,78.4,99.2,37.2,109.4,75.7,11.6
+PT1001,2026-06-14 06:45:00,77.6,99.0,36.8,106.8,76.8,12.0
+PT1001,2026-06-14 07:00:00,77.0,99.0,37.2,111.3,77.7,11.6
+PT1001,2026-06-14 07:15:00,75.3,99.2,36.9,114.7,80.2,11.9
+PT1001,2026-06-14 07:30:00,73.7,98.8,37.4,109.1,81.2,11.9
+PT1001,2026-06-14 07:45:00,75.4,98.8,37.3,109.3,80.5,11.7
+PT1001,2026-06-14 08:00:00,75.2,98.7,37.1,109.3,81.9,11.5
+PT1001,2026-06-14 08:15:00,75.5,99.0,37.4,108.8,80.8,11.3
+PT1001,2026-06-14 08:30:00,77.9,98.7,37.3,106.6,80.5,11.3
+PT1001,2026-06-14 08:45:00,76.8,98.4,37.2,106.9,80.1,11.7
+PT1001,2026-06-14 09:00:00,77.4,98.4,36.7,111.6,78.9,11.9
+PT1001,2026-06-14 09:15:00,76.1,98.3,37.2,114.9,79.3,11.7
+PT1001,2026-06-14 09:30:00,76.1,98.1,37.8,112.1,81.4,11.8
+PT1001,2026-06-14 09:45:00,77.2,98.3,36.8,111.2,79.8,11.7
+PT1001,2026-06-14 10:00:00,78.0,98.7,37.0,110.7,81.2,11.4
+PT1001,2026-06-14 10:15:00,77.0,98.2,37.3,110.6,81.4,11.8
+PT1001,2026-06-14 10:30:00,77.9,97.9,37.6,111.5,83.8,12.0
+PT1001,2026-06-14 10:45:00,80.3,97.8,36.9,110.2,82.6,11.4
+PT1001,2026-06-14 11:00:00,81.7,97.3,36.9,108.1,82.4,11.0
+PT1001,2026-06-14 11:15:00,81.1,97.2,37.4,106.6,81.2,11.4
+PT1001,2026-06-14 11:30:00,79.4,96.6,36.6,108.7,79.4,11.5
+PT1001,2026-06-14 11:45:00,80.9,97.2,37.3,109.1,79.2,11.4
+PT1001,2026-06-14 12:00:00,81.5,97.5,36.8,107.9,79.8,11.1
+PT1001,2026-06-14 12:15:00,81.4,97.2,36.9,110.2,78.5,11.3
+PT1001,2026-06-14 12:30:00,81.7,97.1,37.2,107.7,79.2,11.2
+PT1001,2026-06-14 12:45:00,81.1,96.8,37.1,109.9,80.3,11.0
+PT1001,2026-06-14 13:00:00,82.4,96.7,37.4,109.2,80.7,10.8
+PT1001,2026-06-14 13:15:00,82.1,96.5,37.6,110.5,78.9,11.6
+PT1001,2026-06-14 13:30:00,82.7,96.6,36.8,111.2,78.2,11.7
+PT1001,2026-06-14 13:45:00,83.2,96.8,37.5,110.5,77.3,11.2
+PT1001,2026-06-14 14:00:00,82.5,96.8,37.0,111.1,77.7,11.5
+PT1001,2026-06-14 14:15:00,81.1,96.5,37.5,109.9,76.3,11.4
+PT1001,2026-06-14 14:30:00,80.6,96.4,37.3,109.9,75.7,11.4
+PT1001,2026-06-14 14:45:00,81.6,96.7,36.9,114.0,76.6,12.3
+PT1001,2026-06-14 15:00:00,84.1,96.6,37.1,113.4,76.4,12.2
+PT1001,2026-06-14 15:15:00,83.3,96.8,37.0,112.3,77.4,12.8
+PT1001,2026-06-14 15:30:00,84.2,96.9,36.6,116.8,76.6,13.1
+PT1001,2026-06-14 15:45:00,83.6,97.0,37.1,119.6,74.8,13.4
+PT1001,2026-06-14 16:00:00,81.7,97.1,36.8,123.0,73.1,13.4
+PT1001,2026-06-14 16:15:00,81.1,97.4,37.0,122.5,75.2,13.8
+PT1001,2026-06-14 16:30:00,80.4,97.2,36.9,120.6,75.7,13.8
+PT1001,2026-06-14 16:45:00,78.5,97.3,36.3,119.7,75.4,13.9
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+PT1008,2026-06-16 05:45:00,84.0,98.7,37.5,117.5,114.1,14.8
+PT1008,2026-06-16 06:00:00,84.7,99.1,37.3,117.1,114.3,14.9
+PT1008,2026-06-16 06:15:00,82.5,99.0,37.1,118.8,113.8,15.7
+PT1008,2026-06-16 06:30:00,83.1,99.4,37.3,119.0,116.1,15.9
+PT1008,2026-06-16 06:45:00,82.0,99.7,37.0,117.8,115.8,16.4
+PT1008,2026-06-16 07:00:00,82.5,99.6,37.3,117.8,115.6,16.0
+PT1008,2026-06-16 07:15:00,83.2,99.5,37.1,116.9,116.9,15.9
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+PT1008,2026-06-16 08:30:00,81.5,99.3,37.0,111.0,116.6,15.6
+PT1008,2026-06-16 08:45:00,81.4,98.8,37.5,111.4,118.1,16.0
+PT1008,2026-06-16 09:00:00,79.9,99.0,37.2,109.6,119.3,15.7
+PT1008,2026-06-16 09:15:00,81.8,99.2,37.5,107.7,117.6,16.0
+PT1008,2026-06-16 09:30:00,82.3,99.0,36.8,107.8,118.2,16.0
+PT1008,2026-06-16 09:45:00,83.6,99.5,37.3,110.7,115.0,16.5
+PT1008,2026-06-16 10:00:00,82.8,99.0,37.5,110.4,115.5,16.0
+PT1008,2026-06-16 10:15:00,84.2,99.1,37.3,107.7,115.1,16.3
+PT1008,2026-06-16 10:30:00,83.4,98.9,36.9,106.2,114.7,16.1
+PT1008,2026-06-16 10:45:00,83.2,98.9,36.9,108.4,112.0,16.6
+PT1008,2026-06-16 11:00:00,85.4,99.1,37.1,109.5,111.9,17.4
+PT1008,2026-06-16 11:15:00,87.2,98.9,37.2,110.9,114.7,17.1
+PT1008,2026-06-16 11:30:00,86.3,99.0,36.8,114.7,113.3,17.2
+PT1008,2026-06-16 11:45:00,86.2,99.2,36.7,114.1,115.7,17.3
+PT1008,2026-06-16 12:00:00,86.5,99.5,37.1,115.2,116.1,17.2
+PT1008,2026-06-16 12:15:00,86.5,98.9,37.2,116.1,117.6,16.9
+PT1008,2026-06-16 12:30:00,86.9,99.1,36.8,116.2,118.4,16.5
+PT1008,2026-06-16 12:45:00,87.4,99.0,37.9,113.0,118.9,16.0
+PT1008,2026-06-16 13:00:00,84.8,99.0,37.4,110.8,120.3,15.8
+PT1008,2026-06-16 13:15:00,85.7,98.7,37.0,109.3,119.8,15.8
+PT1008,2026-06-16 13:30:00,86.5,98.8,37.2,108.1,118.4,15.4
+PT1008,2026-06-16 13:45:00,86.3,99.3,36.7,108.1,118.7,14.7
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+PT1008,2026-06-16 14:15:00,84.8,99.2,37.4,107.0,117.4,15.1
+PT1008,2026-06-16 14:30:00,85.3,99.5,37.1,102.7,117.3,15.2
+PT1008,2026-06-16 14:45:00,85.5,99.4,37.5,104.3,116.5,15.1
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+PT1008,2026-06-16 15:15:00,86.1,99.4,37.2,102.3,111.4,15.1
+PT1008,2026-06-16 15:30:00,86.3,99.8,36.7,101.7,110.8,15.9
+PT1008,2026-06-16 15:45:00,85.5,99.8,37.6,103.9,112.2,15.5
+PT1008,2026-06-16 16:00:00,86.1,99.6,37.2,102.5,112.3,16.4
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+PT1008,2026-06-16 16:30:00,88.9,99.8,37.6,101.7,115.2,15.9
+PT1008,2026-06-16 16:45:00,88.3,99.5,37.3,102.7,115.2,16.0
+PT1008,2026-06-16 17:00:00,88.1,100.0,37.1,103.2,114.5,16.3
+PT1008,2026-06-16 17:15:00,88.2,99.7,37.1,101.2,116.1,15.8
+PT1008,2026-06-16 17:30:00,88.5,100.0,36.4,100.2,117.2,15.7
+PT1008,2026-06-16 17:45:00,88.5,100.0,37.5,101.1,116.3,15.5
+PT1008,2026-06-16 18:00:00,88.1,99.5,36.9,102.1,117.6,15.9
+PT1008,2026-06-16 18:15:00,88.1,99.6,36.9,104.0,118.3,16.2
+PT1008,2026-06-16 18:30:00,85.3,99.8,37.1,102.1,118.1,16.5
+PT1008,2026-06-16 18:45:00,86.1,100.0,37.3,103.2,117.0,15.9
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+PT1008,2026-06-16 20:30:00,86.1,98.8,37.9,106.4,120.8,17.6
+PT1008,2026-06-16 20:45:00,87.3,99.0,36.8,107.5,122.1,18.4
+PT1008,2026-06-16 21:00:00,86.8,99.0,37.3,108.6,124.4,18.6
+PT1008,2026-06-16 21:15:00,87.6,99.0,36.9,107.8,124.6,18.3
+PT1008,2026-06-16 21:30:00,88.0,98.8,36.7,111.5,124.8,18.9
+PT1008,2026-06-16 21:45:00,86.6,98.8,37.4,113.4,124.0,18.8
+PT1008,2026-06-16 22:00:00,86.1,98.6,37.1,114.8,122.1,18.7
+PT1008,2026-06-16 22:15:00,86.7,98.8,37.3,116.7,121.6,19.1
+PT1008,2026-06-16 22:30:00,87.5,98.6,37.1,118.1,121.4,19.1
+PT1008,2026-06-16 22:45:00,90.0,98.4,36.9,120.4,123.6,19.4
+PT1008,2026-06-16 23:00:00,92.0,98.3,37.3,121.8,123.7,19.3
+PT1008,2026-06-16 23:15:00,94.2,98.3,36.7,125.8,123.5,19.3
+PT1008,2026-06-16 23:30:00,93.5,98.2,37.0,125.1,122.0,19.0
+PT1008,2026-06-16 23:45:00,94.9,97.9,37.3,121.0,119.4,18.7
diff --git a/medical-imaging-demo/pages/__init__.py b/medical-imaging-demo/pages/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/medical-imaging-demo/pages/cohort.py b/medical-imaging-demo/pages/cohort.py
new file mode 100644
index 0000000..d8ee78f
--- /dev/null
+++ b/medical-imaging-demo/pages/cohort.py
@@ -0,0 +1,214 @@
+import dash_mantine_components as dmc
+from dash import dcc, html
+from dash_iconify import DashIconify
+import numpy as np
+
+from components.charts import (create_crossfilter_scatter, create_diagnosis_donut,
+                                create_age_sex_chart, create_risk_strat_chart,
+                                create_vitals_chart)
+from components.tables import create_patient_table
+from utils.data_loader import get_cohort, get_vitals, df_patients
+
+df_cohort = get_cohort()
+
+VITALS_ALL = ["HR", "SpO2", "Temp", "SysBP", "DiaBP", "RR"]
+PATIENT_OPTIONS = [
+    {"value": row["patient_id"], "label": f"{row['patient_id']} — {row['name']}"}
+    for _, row in df_patients.head(8).iterrows()
+]
+_default_patient = PATIENT_OPTIONS[0]["value"]
+_df_vitals0 = get_vitals(_default_patient, "24h")
+
+_cf1 = create_crossfilter_scatter(df_cohort, "age",        "bmi")
+_cf2 = create_crossfilter_scatter(df_cohort, "systolic_bp","ldl")
+_cf3 = create_crossfilter_scatter(df_cohort, "hba1c",      "egfr")
+
+SCATTER_CONFIG = {
+    "displayModeBar": True,
+    "modeBarButtonsToRemove": [
+        "zoom2d", "pan2d", "zoomIn2d", "zoomOut2d",
+        "autoScale2d", "toImage", "hoverClosestCartesian",
+        "hoverCompareCartesian", "toggleSpikelines",
+    ],
+    "displaylogo": False,
+}
+
+crossfilter_view = html.Div([
+    dmc.Alert(
+        "Lasso or box-select points on any chart — the selection propagates across all three plots.",
+        color="navy", variant="light",
+        icon=DashIconify(icon="tabler:filter"),
+        mb="md",
+    ),
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dcc.Graph(id="cf-scatter1", figure=_cf1,
+                          config=SCATTER_CONFIG,
+                          style={"height": "320px"}),
+                p=0, radius="md", withBorder=True,
+                style={"overflow": "hidden"},
+            ),
+        ], span={"base": 12, "md": 4}),
+        dmc.GridCol([
+            dmc.Paper(
+                dcc.Graph(id="cf-scatter2", figure=_cf2,
+                          config=SCATTER_CONFIG,
+                          style={"height": "320px"}),
+                p=0, radius="md", withBorder=True,
+                style={"overflow": "hidden"},
+            ),
+        ], span={"base": 12, "md": 4}),
+        dmc.GridCol([
+            dmc.Paper(
+                dcc.Graph(id="cf-scatter3", figure=_cf3,
+                          config=SCATTER_CONFIG,
+                          style={"height": "320px"}),
+                p=0, radius="md", withBorder=True,
+                style={"overflow": "hidden"},
+            ),
+        ], span={"base": 12, "md": 4}),
+    ], gutter="md"),
+
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Cohort Summary", fw=600, size="lg"),
+                    dmc.Divider(),
+                    dmc.SimpleGrid(id="cf-summary-grid", cols=3, spacing="sm"),
+                ], gap="sm"),
+                p="md", radius="md", withBorder=True,
+            ),
+        ], span={"base": 12, "md": 4}),
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Filtered Patients", fw=600, size="lg"),
+                    html.Div(id="cf-patient-table"),
+                ], gap="sm"),
+                p="md", radius="md", withBorder=True,
+            ),
+        ], span={"base": 12, "md": 8}),
+    ], gutter="md", mt="md"),
+
+    # ── Vital Signs Trend (per-patient) ──────────────────────────────────────
+    dmc.Divider(mt="xl", mb="md"),
+    dmc.Group([
+        DashIconify(icon="tabler:activity-heartbeat", width=20, color="#1e3a8a"),
+        dmc.Text("Vital Signs Trend", fw=600, size="lg"),
+        dmc.Text("per selected patient", c="dimmed", size="sm"),
+    ], gap=8, align="center", mb="md"),
+    dmc.Paper(
+        dmc.Group([
+            dmc.Group([
+                dmc.Text("Patient", size="xs", fw=500, c="dimmed"),
+                dmc.Select(
+                    id="cohort-vitals-patient",
+                    data=PATIENT_OPTIONS,
+                    value=_default_patient,
+                    w=260, size="xs",
+                ),
+            ], gap=6),
+            dmc.Divider(orientation="vertical", style={"alignSelf": "stretch"}),
+            dmc.Group([
+                dmc.Text("Period", size="xs", fw=500, c="dimmed"),
+                dmc.SegmentedControl(
+                    id="cohort-vitals-period",
+                    data=["6h", "12h", "24h", "48h", "72h"],
+                    value="24h", size="xs", color="navy",
+                ),
+            ], gap=6),
+            dmc.Divider(orientation="vertical", style={"alignSelf": "stretch"}),
+            dmc.Group([
+                dmc.Text("Vitals", size="xs", fw=500, c="dimmed"),
+                dmc.MultiSelect(
+                    id="cohort-vitals-select",
+                    data=[{"value": v, "label": v} for v in VITALS_ALL],
+                    value=["HR", "SpO2"],
+                    w=260, size="xs", clearable=True,
+                ),
+            ], gap=6),
+            dmc.Divider(orientation="vertical", style={"alignSelf": "stretch"}),
+            dmc.Group([
+                dmc.Text("Display", size="xs", fw=500, c="dimmed"),
+                dmc.Switch(id="cohort-vitals-ref-toggle", label="Reference bands",
+                           checked=True, size="xs", color="navy"),
+                dmc.Select(
+                    id="cohort-vitals-ma",
+                    data=[{"value": "none", "label": "No smoothing"},
+                          {"value": "20",   "label": "20-pt MA"},
+                          {"value": "50",   "label": "50-pt MA"}],
+                    value="none", w=130, size="xs",
+                ),
+            ], gap=8),
+        ], gap="md", align="center"),
+        p="sm", radius="md", withBorder=True, mb="md",
+    ),
+    dmc.Paper(
+        dcc.Graph(
+            id="cohort-vitals-trend-chart",
+            figure=create_vitals_chart(_df_vitals0, ["HR", "SpO2"]),
+            config={"displayModeBar": False},
+            style={"height": "420px"},
+        ),
+        p="md", radius="md", withBorder=True,
+    ),
+], id="crossfilter-view")
+
+
+# ── Combined Demographics & Risk view ────────────────────────────────────────
+overview_view = html.Div([
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dcc.Graph(id="demo-donut",
+                          figure=create_diagnosis_donut(df_cohort),
+                          config={"displayModeBar": False},
+                          style={"height": "380px"}),
+                p="md", radius="md", withBorder=True,
+            ),
+        ], span={"base": 12, "md": 6}),
+        dmc.GridCol([
+            dmc.Paper(
+                dcc.Graph(id="demo-agesex",
+                          figure=create_age_sex_chart(df_cohort),
+                          config={"displayModeBar": False},
+                          style={"height": "380px"}),
+                p="md", radius="md", withBorder=True,
+            ),
+        ], span={"base": 12, "md": 6}),
+    ], gutter="md"),
+    dmc.Paper(
+        dcc.Graph(id="risk-strat-chart",
+                  figure=create_risk_strat_chart(df_cohort),
+                  config={"displayModeBar": False},
+                  style={"height": "420px"}),
+        p="md", radius="md", withBorder=True, mt="md",
+    ),
+], id="overview-view", style={"display": "none"})
+
+
+layout = dmc.Box(
+    dmc.Stack([
+        dmc.Group([
+            dmc.Stack([
+                dmc.Title("Cohort Explorer", order=2),
+                dmc.Text("200-patient biomarker cohort — linked crossfilter brushing",
+                         c="dimmed"),
+            ], gap=4),
+            dmc.SegmentedControl(
+                id="cohort-view",
+                data=[
+                    {"value": "crossfilter", "label": "Crossfilter"},
+                    {"value": "overview",    "label": "Demographics & Risk"},
+                ],
+                value="crossfilter", color="navy", size="sm", radius="md",
+            ),
+        ], justify="space-between", mb="lg"),
+
+        crossfilter_view,
+        overview_view,
+    ], gap="md"),
+    p="md",
+)
diff --git a/medical-imaging-demo/pages/dashboard.py b/medical-imaging-demo/pages/dashboard.py
new file mode 100644
index 0000000..b1f75c7
--- /dev/null
+++ b/medical-imaging-demo/pages/dashboard.py
@@ -0,0 +1,286 @@
+import dash_mantine_components as dmc
+from dash import dcc, html
+from dash_iconify import DashIconify
+
+from components.charts import create_admissions_chart, create_ecg_sparkline
+from components.kpi_cards import create_kpi_card, create_risk_row
+from utils.data_loader import get_census_metrics, get_risk_overview, get_admissions_data
+
+metrics = get_census_metrics()
+risk    = get_risk_overview()
+adm_df  = get_admissions_data()
+
+# ── 5 hardcoded ICU patients that the websocket callback streams ──────────────
+ICU_PATIENTS = [
+    {"id": "PT1001", "name": "J. Smith",    "dx": "Sepsis"},
+    {"id": "PT1002", "name": "M. Johnson",  "dx": "Heart Failure"},
+    {"id": "PT1003", "name": "R. Williams", "dx": "COPD Exacerbation"},
+    {"id": "PT1004", "name": "P. Brown",    "dx": "Hypertensive Crisis"},
+    {"id": "PT1005", "name": "J. Garcia",   "dx": "Pneumonia"},
+]
+
+# ── Alert thresholds ──────────────────────────────────────────────────────────
+ICU_BASE = {
+    "PT1001": {"hr": 72,  "spo2": 98.5, "sbp": 118, "dbp": 76,  "rr": 14},
+    "PT1002": {"hr": 92,  "spo2": 96.8, "sbp": 148, "dbp": 90,  "rr": 18},
+    "PT1003": {"hr": 88,  "spo2": 93.5, "sbp": 108, "dbp": 68,  "rr": 21},
+    "PT1004": {"hr": 78,  "spo2": 99.1, "sbp": 168, "dbp": 97,  "rr": 16},
+    "PT1005": {"hr": 66,  "spo2": 98.9, "sbp": 125, "dbp": 80,  "rr": 13},
+}
+
+
+def _vital_badge(value_str: str, pid: str, vital: str) -> html.Span:
+    return html.Span(value_str, id=f"live-{vital}-{pid}",
+                     style={"fontFamily": "monospace", "fontWeight": 700})
+
+
+def _icu_row(p: dict) -> dmc.Paper:
+    pid  = p["id"]
+    base = ICU_BASE[pid]
+    return dmc.Paper(
+        dmc.Group([
+            dmc.Stack([
+                dmc.Text(p["name"], size="sm", fw=600),
+                dmc.Text(p["dx"],   size="xs", c="dimmed"),
+            ], gap=2, w=120),
+            dmc.Divider(orientation="vertical"),
+            dmc.Stack([
+                dmc.Text("HR", size="xs", c="dimmed"),
+                _vital_badge(str(base["hr"]), pid, "hr"),
+                dmc.Text("bpm", size="xs", c="dimmed"),
+            ], gap=1, align="center"),
+            dmc.Stack([
+                dmc.Text("SpO₂", size="xs", c="dimmed"),
+                _vital_badge(f"{base['spo2']}%", pid, "spo2"),
+            ], gap=1, align="center"),
+            dmc.Stack([
+                dmc.Text("BP", size="xs", c="dimmed"),
+                _vital_badge(f"{base['sbp']}/{base['dbp']}", pid, "bp"),
+                dmc.Text("mmHg", size="xs", c="dimmed"),
+            ], gap=1, align="center"),
+            dmc.Stack([
+                dmc.Text("RR", size="xs", c="dimmed"),
+                _vital_badge(str(base["rr"]), pid, "rr"),
+                dmc.Text("/min", size="xs", c="dimmed"),
+            ], gap=1, align="center"),
+        ], gap="lg", align="center"),
+        p="xs",
+        radius="sm",
+        withBorder=True,
+        style={"backgroundColor": "rgba(0,0,0,0.01)"},
+    )
+
+
+layout = dmc.Stack([
+    # ── Header ────────────────────────────────────────────────────────────────
+    dmc.Group([
+        dmc.Stack([
+            dmc.Title("Clinical Dashboard", order=2),
+            dmc.Text("Real-time census, ICU vitals, and risk overview", c="dimmed"),
+        ], gap=4),
+        dmc.Group([
+            dmc.SegmentedControl(
+                id="dashboard-period",
+                data=[{"value": v, "label": v}
+                      for v in ["7d","14d","30d"]],
+                value="30d",
+                size="sm",
+            ),
+            dmc.Select(
+                id="dashboard-dept",
+                data=[{"value": "All", "label": "All Departments"}] +
+                     [{"value": d, "label": d} for d in
+                      ["Cardiology","Pulmonology","Neurology",
+                       "General Medicine","Surgery","Nephrology","Oncology"]],
+                value="All",
+                w=200,
+                size="sm",
+            ),
+        ], gap="sm"),
+    ], justify="space-between", mb="lg"),
+
+    # ── KPI Cards ─────────────────────────────────────────────────────────────
+    dmc.SimpleGrid([
+        create_kpi_card("kpi-total",   "Total Patients",
+                        str(metrics["total_patients"]),
+                        icon="tabler:users"),
+        create_kpi_card("kpi-icu",     "ICU Occupancy",
+                        f"{metrics['icu_occupancy']:.1f}%",
+                        trend="25 beds",
+                        trend_positive=True,
+                        icon="tabler:activity"),
+        create_kpi_card("kpi-los",     "Avg Length of Stay",
+                        f"{metrics['avg_los']} days",
+                        icon="tabler:clock"),
+        create_kpi_card("kpi-alerts",  "Critical Alerts",
+                        str(metrics["critical_alerts"]),
+                        trend="Risk score > 70",
+                        trend_positive=False,
+                        icon="tabler:alert-triangle",
+                        alert_color="red"),
+    ], cols={"base": 1, "sm": 2, "lg": 4}, spacing="md"),
+
+    # ── Main Row: Live Vitals + Admissions chart ───────────────────────────────
+    dmc.Grid([
+        # Live ICU vitals panel
+        dmc.GridCol([
+            dcc.Store(id="live-streaming", data=True),
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Group([
+                        dmc.Group([
+                            dmc.Text("Live ICU Monitor", fw=600, size="lg"),
+                            html.Div(
+                                style={
+                                    "width": 8, "height": 8,
+                                    "borderRadius": "50%",
+                                    "backgroundColor": "#22c55e",
+                                    "animation": "pulse 1.5s ease-in-out infinite",
+                                },
+                                id="live-indicator",
+                            ),
+                            dmc.Badge("LIVE", color="green", size="sm", variant="light"),
+                        ], gap="xs"),
+                        dmc.Switch(id="icu-live-toggle", label="Stream",
+                                   checked=True, size="sm"),
+                    ], justify="space-between"),
+                    dmc.Divider(),
+
+                    dmc.Stack([_icu_row(p) for p in ICU_PATIENTS], gap="xs"),
+
+                    dmc.Divider(),
+                    dmc.Group([
+                        dmc.Text("ECG — ", size="xs", c="dimmed"),
+                        dmc.Select(
+                            id="ecg-patient-select",
+                            data=[{"value": p["id"], "label": p["name"]}
+                                  for p in ICU_PATIENTS],
+                            value="PT1001",
+                            size="xs", w=150,
+                        ),
+                    ], gap=4),
+                    dcc.Graph(
+                        id="ecg-sparkline-chart",
+                        figure=create_ecg_sparkline([72], "PT1001"),
+                        config={"displayModeBar": False},
+                        style={"height": "100px"},
+                    ),
+                ], gap="sm"),
+                p="md", radius="md", withBorder=True,
+            ),
+        ], span={"base": 12, "md": 6}),
+
+        # Admissions chart
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dcc.Graph(
+                        id="admissions-chart",
+                        figure=create_admissions_chart(adm_df),
+                        config={"displayModeBar": False},
+                        style={"height": "360px"},
+                    ),
+                ]),
+                p="md", radius="md", withBorder=True,
+            ),
+        ], span={"base": 12, "md": 6}),
+    ], gutter="md"),
+
+    # ── Bottom Row: Risk Overview + Quick Stats ────────────────────────────────
+    dmc.Grid([
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Population Risk Overview", fw=600, size="lg"),
+                    dmc.Text("Average risk scores across all admitted patients",
+                             size="xs", c="dimmed"),
+                    dmc.Divider(my="sm"),
+                    dmc.Stack([
+                        create_risk_row("risk-sepsis",  "Sepsis Risk",
+                                        f"{risk['sepsis']:.1f}%",
+                                        risk["sepsis"], "red"),
+                        create_risk_row("risk-fall",    "Fall Risk",
+                                        f"{risk['fall']:.1f}%",
+                                        risk["fall"],   "orange"),
+                        create_risk_row("risk-readmit", "Readmission",
+                                        f"{risk['readmit']:.1f}%",
+                                        risk["readmit"], "yellow"),
+                        create_risk_row("risk-deterioration", "Deterioration",
+                                        f"{risk['deterioration']:.1f}%",
+                                        risk["deterioration"], "grape"),
+                    ], gap="md", mt="sm"),
+                ], gap="sm"),
+                p="md", radius="md", withBorder=True, h="100%",
+            ),
+        ], span={"base": 12, "md": 4}),
+
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("Department Snapshot", fw=600, size="lg"),
+                    dmc.SimpleGrid([
+                        dmc.Paper(
+                            dmc.Stack([
+                                dmc.Text(dept, size="xs", c="dimmed", fw=600),
+                                dmc.Text(str(count), size="lg", fw=700),
+                                dmc.Text("admitted today", size="xs", c="dimmed"),
+                            ], gap=4),
+                            p="sm", radius="sm", withBorder=True,
+                        )
+                        for dept, count in [
+                            ("Cardiology", 12), ("Pulmonology", 8),
+                            ("Neurology", 6),   ("Surgery", 10),
+                            ("Nephrology", 5),  ("Oncology", 4),
+                        ]
+                    ], cols=2, spacing="sm"),
+                ], gap="sm"),
+                p="md", radius="md", withBorder=True,
+            ),
+        ], span={"base": 12, "md": 4}),
+
+        dmc.GridCol([
+            dmc.Paper(
+                dmc.Stack([
+                    dmc.Text("System Status", fw=600, size="lg"),
+                    dmc.Stack([
+                        dmc.Group([
+                            DashIconify(icon="tabler:circle-filled",
+                                        width=10, color="#22c55e"),
+                            dmc.Text("EMR System", size="sm"),
+                            dmc.Text("Online", size="sm", c="teal", fw=500,
+                                     style={"marginLeft": "auto"}),
+                        ]),
+                        dmc.Group([
+                            DashIconify(icon="tabler:circle-filled",
+                                        width=10, color="#22c55e"),
+                            dmc.Text("PACS Imaging", size="sm"),
+                            dmc.Text("Online", size="sm", c="teal", fw=500,
+                                     style={"marginLeft": "auto"}),
+                        ]),
+                        dmc.Group([
+                            DashIconify(icon="tabler:circle-filled",
+                                        width=10, color="#22c55e"),
+                            dmc.Text("Lab Interface", size="sm"),
+                            dmc.Text("Online", size="sm", c="teal", fw=500,
+                                     style={"marginLeft": "auto"}),
+                        ]),
+                        dmc.Group([
+                            DashIconify(icon="tabler:circle-filled",
+                                        width=10, color="#f59e0b"),
+                            dmc.Text("ICU Monitoring", size="sm"),
+                            dmc.Text("Degraded", size="sm", c="yellow", fw=500,
+                                     style={"marginLeft": "auto"}),
+                        ]),
+                    ], gap="md", mt="sm"),
+                    dmc.Divider(my="sm"),
+                    dmc.Alert(
+                        "All patient data is synthetic and for demonstration only.",
+                        color="blue", variant="light", icon=DashIconify(icon="tabler:info-circle"),
+                    ),
+                ], gap="sm"),
+                p="md", radius="md", withBorder=True, h="100%",
+            ),
+        ], span={"base": 12, "md": 4}),
+    ], gutter="md"),
+
+], gap="md")
diff --git a/medical-imaging-demo/pages/imaging.py b/medical-imaging-demo/pages/imaging.py
new file mode 100644
index 0000000..da76c9e
--- /dev/null
+++ b/medical-imaging-demo/pages/imaging.py
@@ -0,0 +1,557 @@
+import dash_mantine_components as dmc
+from dash import dcc, html
+from dash_iconify import DashIconify
+
+from components.imaging import (load_xray_b64, create_xray_figure, XRAY_DIR,
+                                 SEVERITY_COLORS, severity_color, newshape_for)
+from components.charts import create_ecg_sparkline
+from utils.data_loader import (get_studies, get_patient, get_labs,
+                                get_vitals, get_vitals_stats)
+
+df_studies = get_studies()
+STUDIES = df_studies.to_dict("records")
+
+# ── Palette (scoped to this page) — light cream + deep navy ─────────────────────
+BG_DEEP    = "#f4f3ef"   # off-white, faint cream wash (page backdrop — minimal cream)
+BG_SURFACE = "#fcfcfb"   # clean near-white (panels / Paper)
+BG_INSET   = "#eef0f2"   # very light cool grey (cards, toolbars, insets)
+BORDER     = "#e1e3e7"   # neutral grey border
+TEXT_HI    = "#1e2433"   # charcoal (primary text)
+TEXT_DIM   = "#6b7280"   # cool slate (secondary text)
+ACCENT     = "#1e3a8a"   # deep navy highlight
+ACCENT_DK  = "#172554"   # deepest navy (top accent borders)
+
+# Custom Mantine "navy" color ramp (shade 9 = ACCENT)
+NAVY_RAMP = ["#eef2fb", "#d9e1f4", "#b3c2e8", "#8aa1db", "#6886d0",
+             "#5274c9", "#456bc6", "#37539e", "#27407f", "#1e3a8a"]
+
+# Active study-card tint (replaces the old cyan glow)
+CARD_ACTIVE_BG     = "#e6eaf5"   # pale navy
+CARD_ACTIVE_SHADOW = "0 0 0 1px rgba(30,58,138,0.2)"
+# Neutral light grey behind the X-ray canvas (light viewport)
+VIEWPORT_BG = "#e7e9ec"
+# DICOM corner overlays render ON TOP of the (inherently dark) X-ray image,
+# so they keep light text regardless of the light chrome around them.
+OVERLAY_HI     = "#eef2f8"   # near-white
+OVERLAY_DIM    = "#aab4c5"   # light slate
+OVERLAY_ACCENT = "#7da2e8"   # light navy (legible on the dark X-ray)
+
+
+# Key labs → one-line clinical interpretation when flagged abnormal
+_LAB_INTERPRETATION = {
+    "WBC":        "infection / pneumonia",
+    "Troponin":   "cardiac injury",
+    "Lactate":    "sepsis / hypoperfusion",
+    "Creatinine": "renal function",
+    "BUN":        "renal function",
+    "Hemoglobin": "anemia / bleeding",
+    "Glucose":    "glycemic control",
+    "Potassium":  "electrolyte imbalance",
+    "Sodium":     "electrolyte imbalance",
+}
+
+
+def _risk_badge(patient: dict):
+    """Coloured risk badge from a patient's risk_score."""
+    score = patient.get("risk_score")
+    if score is None:
+        return None
+    color = "red" if score > 70 else "yellow" if score > 40 else "teal"
+    return dmc.Badge(f"Risk {score:.0f}", color=color, variant="light", size="sm")
+
+
+# ── Premium PACS chrome: patient banner, image overlays, status bar ───────────
+_MONO = "ui-monospace, SFMono-Regular, Menlo, monospace"
+
+_DRAW_LABELS = {
+    "drawrect": "Rectangle", "drawline": "Line",
+    "drawcircle": "Circle", "drawopenpath": "Freehand",
+}
+
+
+def _meta_chip(label: str, value, mono: bool = False):
+    """A compact label/value pair for the banner identity row."""
+    return dmc.Group([
+        dmc.Text(label, size="9px", c=TEXT_DIM, tt="uppercase",
+                 style={"letterSpacing": "0.6px", "fontWeight": 700}),
+        dmc.Text(str(value), size="xs", fw=600, c=TEXT_HI,
+                 style={"fontFamily": _MONO} if mono else None),
+    ], gap=5, wrap="nowrap")
+
+
+def _vitals_tile(pid: str):
+    """HR/SpO₂ readout + HR sparkline for the banner."""
+    df_vit = get_vitals(pid, "24h")
+    if df_vit.empty:
+        return dmc.Text("No vitals", size="xs", c=TEXT_DIM)
+    hr   = get_vitals_stats(pid, "HR", "24h")
+    spo2 = get_vitals_stats(pid, "SpO2", "24h")
+    spark = create_ecg_sparkline(df_vit["HR"].tolist())
+    return dmc.Group([
+        dmc.Stack([
+            dmc.Text(f"HR {hr.get('current', '—')}", size="sm", fw=700, c="#22c55e"),
+            dmc.Text(f"SpO₂ {spo2.get('current', '—')}%", size="xs", fw=600, c=ACCENT),
+        ], gap=2),
+        html.Div(
+            dcc.Graph(figure=spark, config={"displayModeBar": False},
+                      style={"height": "34px", "width": "96px"}),
+            style={"width": "96px"},
+        ),
+    ], gap=8, wrap="nowrap", align="center")
+
+
+def _lab_chip(test: str, value, unit: str, flag: str):
+    up = flag == "H"
+    color = "#dc2626" if up else ACCENT
+    return dmc.Tooltip(
+        label=f"{test} {value:.1f} {unit} — {_LAB_INTERPRETATION.get(test, 'abnormal')}",
+        withArrow=True, position="bottom", color="dark",
+        children=dmc.Group([
+            dmc.Text(test, size="xs", fw=700, c=TEXT_HI),
+            DashIconify(icon="tabler:arrow-up" if up else "tabler:arrow-down",
+                        width=13, color=color),
+        ], gap=3, wrap="nowrap",
+           style={"padding": "3px 9px", "borderRadius": "6px",
+                  "backgroundColor": BG_INSET,
+                  "border": f"1px solid {color}55"}),
+    )
+
+
+def _patient_banner_content(study: dict):
+    """Full-width PACS banner: identity (left) + clinical signal (right)."""
+    if not study:
+        return dmc.Text("No study selected.", size="sm", c=TEXT_DIM)
+    pid     = study.get("patient_id")
+    patient = get_patient(pid) if pid else {}
+
+    # Identity ────────────────────────────────────────────────────────────────
+    identity = dmc.Stack([
+        dmc.Group([
+            dmc.Text(study.get("patient_name", "—"), size="lg", fw=700, c=TEXT_HI),
+            (_risk_badge(patient) or html.Span()),
+            (dmc.Text(patient.get("diagnosis", ""), size="xs", c=TEXT_DIM)
+             if patient.get("diagnosis") else html.Span()),
+        ], gap=10, align="center", wrap="nowrap"),
+        dmc.Group([
+            _meta_chip("MRN", pid or "—", mono=True),
+            _meta_chip("Age/Sex", f"{study.get('age', '—')}/{study.get('gender', '—')}"),
+            _meta_chip("Modality", f"CXR {study.get('view_position', '')}".strip()),
+            _meta_chip("Acc", study.get("accession", "—"), mono=True),
+            _meta_chip("Date", study.get("study_date", "—"), mono=True),
+        ], gap=18, wrap="nowrap"),
+    ], gap=8)
+
+    # Clinical signal ───────────────────────────────────────────────────────────
+    df_labs  = get_labs(pid) if pid else None
+    abnormal = (df_labs[df_labs["flag"] != "N"]
+                if df_labs is not None and not df_labs.empty else None)
+    if abnormal is None or abnormal.empty:
+        lab_block = dmc.Text("Labs WNL", size="xs", c="#22c55e", fw=600)
+    else:
+        lab_block = dmc.Group(
+            [_lab_chip(r["test"], r["value"], r["unit"], r["flag"])
+             for _, r in abnormal.iterrows()],
+            gap=8, wrap="nowrap",
+        )
+
+    clinical = dmc.Group([
+        dmc.Stack([
+            dmc.Text("ABNORMAL LABS", size="9px", c=TEXT_DIM, tt="uppercase",
+                     style={"letterSpacing": "0.6px", "fontWeight": 700}),
+            lab_block,
+        ], gap=4),
+        dmc.Divider(orientation="vertical", color=BORDER),
+        dmc.Stack([
+            dmc.Text("VITALS · 24H", size="9px", c=TEXT_DIM, tt="uppercase",
+                     style={"letterSpacing": "0.6px", "fontWeight": 700}),
+            _vitals_tile(pid) if pid else dmc.Text("—", size="xs", c=TEXT_DIM),
+        ], gap=4),
+    ], gap=16, wrap="nowrap", align="center")
+
+    return dmc.Group(
+        [identity, clinical],
+        justify="space-between", align="center", wrap="nowrap",
+        style={"flex": 1},
+    )
+
+
+def _corner(children, vertical: str, horizontal: str, align: str):
+    # A subtle dark "scrim" chip keeps the light DICOM text legible whether it
+    # falls over the dark X-ray or the light letterbox margins.
+    style = {"position": "absolute", vertical: "10px", horizontal: "12px",
+             "pointerEvents": "none", "textAlign": align,
+             "fontFamily": _MONO, "fontSize": "10px", "lineHeight": "1.5",
+             "color": OVERLAY_DIM,
+             "backgroundColor": "rgba(15,23,42,0.62)",
+             "padding": "5px 9px", "borderRadius": "6px",
+             "backdropFilter": "blur(1.5px)"}
+    return html.Div(children, style=style)
+
+
+def _image_overlays(study: dict, window, level, invert: bool):
+    """DICOM-style text overlaid in the four corners of the image."""
+    study = study or {}
+    tl = [html.Div(study.get("patient_name", "—"),
+                   style={"color": OVERLAY_HI, "fontWeight": 700}),
+          html.Div(f"MRN {study.get('patient_id', '—')}"),
+          html.Div(f"{study.get('age', '—')}/{study.get('gender', '—')}")]
+    tr = [html.Div(f"ACC {study.get('accession', '—')}",
+                   style={"color": OVERLAY_HI, "fontWeight": 700}),
+          html.Div(f"{study.get('view_position', '—')}  ·  {study.get('study_date', '—')}")]
+    bl = [html.Div(f"W: {int(window or 0)}   L: {int(level or 0)}",
+                   style={"color": OVERLAY_ACCENT}),
+          html.Div(f"Invert: {'ON' if invert else 'OFF'}")]
+    br = [html.Div("CXR", style={"color": OVERLAY_HI, "fontWeight": 700}),
+          html.Div("General Hospital"),
+          html.Div(study.get("referrer", ""))]
+    return [
+        _corner(tl, "top", "left", "left"),
+        _corner(tr, "top", "right", "right"),
+        _corner(bl, "bottom", "left", "left"),
+        _corner(br, "bottom", "right", "right"),
+    ]
+
+
+def _status_bar(draw_mode, window, level, invert: bool):
+    """Thin professional readout strip under the image."""
+    def seg(label, value, accent=False):
+        return dmc.Group([
+            dmc.Text(label, size="10px", c=TEXT_DIM, tt="uppercase",
+                     style={"letterSpacing": "0.5px"}),
+            dmc.Text(str(value), size="11px", fw=600,
+                     c=ACCENT if accent else TEXT_HI,
+                     style={"fontFamily": _MONO}),
+        ], gap=5, wrap="nowrap")
+
+    return dmc.Group([
+        dmc.Group([
+            DashIconify(icon="tabler:pencil", width=13, color=TEXT_DIM),
+            seg("Tool", _DRAW_LABELS.get(draw_mode, "Rectangle")),
+        ], gap=6, wrap="nowrap"),
+        seg("Window", int(window or 0), accent=True),
+        seg("Level", int(level or 0), accent=True),
+        seg("Invert", "On" if invert else "Off"),
+        seg("Matrix", "512×512"),
+    ], gap=20, wrap="nowrap",
+       style={"padding": "6px 14px", "backgroundColor": BG_DEEP,
+              "borderTop": f"1px solid {BORDER}"})
+
+
+def _study_card(study: dict) -> dmc.UnstyledButton:
+    sid      = study["study_id"]
+    name     = study.get("patient_name", sid)
+    age_sex  = f"{study.get('age', '—')} / {study.get('gender', '—')}"
+    view     = study.get("view_position", "")
+    finding  = study.get("finding_labels", "").split("|")[0]
+    is_normal = finding.lower() in ("no finding", "")
+    badge_color = "gray" if is_normal else "navy"
+
+    return dmc.UnstyledButton(
+        dmc.Stack([
+            dmc.Group([
+                dmc.Text(sid, size="xs", c=TEXT_DIM, ff="monospace", fw=600),
+                dmc.Badge(view, size="xs", variant="outline",
+                          color="gray", radius="sm"),
+            ], justify="space-between", wrap="nowrap"),
+            dmc.Text(name, size="sm", fw=600, c=TEXT_HI, truncate=True),
+            dmc.Group([
+                dmc.Text(age_sex, size="xs", c=TEXT_DIM),
+                dmc.Badge(finding or "—", size="xs", variant="light",
+                          color=badge_color, radius="sm"),
+            ], justify="space-between", wrap="nowrap"),
+        ], gap=6),
+        id={"type": "study-thumb", "index": sid},
+        className="study-card",
+        style={
+            "width": "100%",
+            "padding": "10px 12px",
+            "backgroundColor": BG_INSET,
+            "border": f"1px solid {BORDER}",
+            "borderRadius": "8px",
+            "textAlign": "left",
+            "transition": "border-color 0.15s ease, background-color 0.15s ease",
+        },
+    )
+
+
+# ── Defaults ───────────────────────────────────────────────────────────────────
+_default  = STUDIES[0]
+_img_path = XRAY_DIR / _default["image_file"]
+_img_b64  = load_xray_b64(_img_path)
+_fig0     = create_xray_figure(_img_b64)
+_fig0.update_layout(newshape=newshape_for("Medium"))  # match default severity
+
+DRAW_TOOLS = [
+    {"value": "drawrect",     "label": "Rect"},
+    {"value": "drawline",     "label": "Line"},
+    {"value": "drawcircle",   "label": "Circle"},
+    {"value": "drawopenpath", "label": "Path"},
+]
+
+FINDING_OPTIONS = [{"value": v, "label": v} for v in [
+    "Nodule", "Mass", "Effusion", "Cardiomegaly", "Pneumothorax",
+    "Atelectasis", "Consolidation", "Pneumonia", "Infiltration",
+    "Fibrosis", "Fracture", "Foreign Body", "Unspecified",
+]]
+
+
+_panel_style = {
+    "backgroundColor": BG_SURFACE,
+    "border": f"1px solid {BORDER}",
+}
+
+_section_label = lambda text: dmc.Text(
+    text, size="xs", fw=700, c=TEXT_DIM, tt="uppercase",
+    style={"letterSpacing": "0.6px"},
+)
+
+
+# ── Studies panel ──────────────────────────────────────────────────────────────
+studies_panel = dmc.Paper(
+    dmc.Stack([
+        dmc.Group([
+            _section_label("Studies"),
+            dmc.Badge(str(len(STUDIES)), size="sm", color="navy",
+                      variant="light"),
+        ], justify="space-between"),
+        dmc.Divider(color=BORDER),
+        dmc.ScrollArea(
+            dmc.Stack([_study_card(s) for s in STUDIES], gap="xs"),
+            type="auto", offsetScrollbars=True,
+            style={"height": "calc(100vh - 200px)"},
+        ),
+    ], gap="sm"),
+    p="md", radius="md",
+    style={**_panel_style, "height": "100%"},
+)
+
+
+# ── Viewport toolbar ───────────────────────────────────────────────────────────
+def _slider_control(label, slider_id, mn, mx, val, step=5):
+    return dmc.Group([
+        dmc.Text(label, size="xs", fw=600, c=TEXT_DIM, w=52),
+        html.Div(
+            dmc.Slider(
+                id=slider_id, min=mn, max=mx, step=step, value=val,
+                color="navy", size="sm",
+                label=None,
+                showLabelOnHover=False,
+                marks=[],
+            ),
+            style={"width": "150px"},
+        ),
+    ], gap=8, wrap="nowrap")
+
+
+viewport_toolbar = dmc.Group([
+    dmc.Group([
+        _slider_control("Window", "window-slider", 30, 255, 220),
+        _slider_control("Level",  "level-slider",  10, 245, 128),
+        dmc.Switch(
+            id="invert-toggle",
+            label="Invert",
+            checked=False,
+            size="sm", color="navy",
+            styles={"label": {"color": TEXT_HI, "fontSize": "12px"}},
+        ),
+    ], gap="lg", wrap="nowrap"),
+    dmc.Group([
+        dmc.SegmentedControl(
+            id="draw-mode-select",
+            data=DRAW_TOOLS,
+            value="drawrect",
+            size="xs", color="navy",
+            styles={
+                "root": {"backgroundColor": BG_INSET,
+                         "border": f"1px solid {BORDER}"},
+            },
+        ),
+        dmc.Button(
+            "Reset",
+            id="reset-annotations-btn",
+            size="xs", variant="subtle", color="gray",
+            leftSection=DashIconify(icon="tabler:rotate-clockwise", width=14),
+        ),
+    ], gap="sm", wrap="nowrap"),
+], justify="space-between", align="center", wrap="wrap",
+   style={"padding": "10px 14px",
+          "backgroundColor": BG_INSET,
+          "borderBottom": f"1px solid {BORDER}",
+          "borderRadius": "8px 8px 0 0"})
+
+
+def _severity_dot(level: str):
+    return dmc.Group([
+        html.Div(style={"width": 8, "height": 8, "borderRadius": "50%",
+                        "backgroundColor": SEVERITY_COLORS[level]}),
+        dmc.Text(level, size="xs", c=TEXT_DIM),
+    ], gap=4, wrap="nowrap")
+
+
+def _pending_tag(finding="Nodule", severity="Medium", note=""):
+    """Live badge showing how the next-drawn shape will be tagged."""
+    children = [
+        DashIconify(icon="tabler:pencil-plus", width=13,
+                    color=severity_color(severity)),
+        dmc.Text("Next:", size="xs", c=TEXT_DIM),
+        dmc.Text(f"{finding or 'Unspecified'} · {severity or 'Medium'}",
+                 size="xs", fw=700, c=severity_color(severity)),
+    ]
+    if note:
+        children.append(dmc.Text(f"“{note}”", size="xs", c=TEXT_DIM,
+                                 style={"fontStyle": "italic"}, truncate=True))
+    return dmc.Group(children, gap=6, wrap="nowrap")
+
+
+severity_legend = dmc.Group(
+    [dmc.Text("Severity", size="xs", fw=600, c=TEXT_DIM)]
+    + [_severity_dot(l) for l in ("Low", "Medium", "High")],
+    gap=10, wrap="nowrap",
+)
+
+
+annotation_bar = dmc.Stack([
+    dmc.Group([
+        dmc.Select(
+            id="finding-label-select",
+            data=FINDING_OPTIONS,
+            value="Nodule",
+            placeholder="Finding",
+            size="xs", w=150,
+            leftSection=DashIconify(icon="tabler:tag", width=14),
+        ),
+        dmc.Select(
+            id="severity-select",
+            data=[{"value": v, "label": v} for v in ["Low", "Medium", "High"]],
+            value="Medium", size="xs", w=100,
+        ),
+        dmc.TextInput(
+            id="annotation-note",
+            placeholder="Note (optional)",
+            size="xs",
+            style={"flex": 1, "minWidth": "80px"},
+            leftSection=DashIconify(icon="tabler:note", width=14),
+        ),
+    ], gap="sm", wrap="wrap"),
+    dmc.Group([
+        html.Div(id="pending-annotation", children=_pending_tag()),
+        severity_legend,
+    ], justify="space-between", align="center", wrap="nowrap"),
+], gap=8,
+   style={"padding": "10px 14px",
+          "backgroundColor": BG_INSET,
+          "borderTop": f"1px solid {BORDER}",
+          "borderRadius": "0 0 8px 8px"})
+
+
+viewport_panel = dmc.Paper(
+    dmc.Stack([
+        dcc.Store(id="xray-annotations", data=[]),
+        dcc.Store(id="annotations-store", data={}),   # {study_id: [annotations]}
+        dcc.Store(id="current-study-id", data=_default["study_id"]),
+        viewport_toolbar,
+        html.Div([
+            dcc.Graph(
+                id="xray-graph",
+                figure=_fig0,
+                config={
+                    "displayModeBar": "hover",
+                    "modeBarButtonsToAdd": [
+                        "drawrect", "drawline",
+                        "drawcircle", "drawopenpath", "eraseshape",
+                    ],
+                    "modeBarButtonsToRemove": ["toImage"],
+                    "scrollZoom": True,
+                    "displaylogo": False,
+                },
+                style={"height": "520px",
+                       "backgroundColor": VIEWPORT_BG},
+            ),
+            html.Div(
+                id="image-overlays",
+                children=_image_overlays(_default, 220, 128, False),
+                style={"position": "absolute", "inset": 0,
+                       "pointerEvents": "none"},
+            ),
+        ], style={"position": "relative", "backgroundColor": VIEWPORT_BG}),
+        html.Div(id="image-status-bar",
+                 children=_status_bar("drawrect", 220, 128, False)),
+        annotation_bar,
+    ], gap=0),
+    p=0, radius="md",
+    style={**_panel_style, "overflow": "hidden"},
+)
+
+
+# ── Right detail panel — Findings (primary focus) ─────────────────────────────
+detail_panel = dmc.Paper(
+    dmc.Stack([
+        dmc.Group([
+            dmc.Group([
+                DashIconify(icon="tabler:list-search", width=16, color=ACCENT),
+                _section_label("Findings"),
+            ], gap=8),
+            dmc.Badge(id="findings-count", children="0",
+                      color="navy", variant="light", size="sm"),
+        ], justify="space-between"),
+        dmc.Divider(color=BORDER),
+        html.Div(
+            id="findings-table-container",
+            children=dmc.Text(
+                "No annotations yet. Draw on the X-ray to add findings.",
+                size="sm", c=TEXT_DIM, ta="center", py="md",
+            ),
+        ),
+    ], gap="sm"),
+    p="md", radius="md",
+    style={**_panel_style, "height": "100%",
+           "borderTop": f"2px solid {ACCENT_DK}"},
+)
+
+
+# ── Full layout (scoped dark provider, full-bleed) ────────────────────────────
+layout = dmc.MantineProvider(
+    forceColorScheme="light",
+    theme={
+        "primaryColor": "navy",
+        "primaryShade": 9,
+        "colors": {"navy": NAVY_RAMP},
+        "fontFamily": "Inter, -apple-system, BlinkMacSystemFont, sans-serif",
+        "components": {
+            "Paper": {"defaultProps": {"shadow": "none"}},
+        },
+    },
+    children=dmc.Box(
+        dmc.Stack([
+            dcc.Download(id="download-radiology-pdf"),
+
+            # ── PACS patient banner ──────────────────────────────────────────
+            dmc.Paper(
+                dmc.Group([
+                    html.Div(id="patient-banner",
+                             children=_patient_banner_content(_default),
+                             style={"flex": 1, "minWidth": 0}),
+                    dmc.Button(
+                        "Export",
+                        id="export-radiology-btn",
+                        size="xs", variant="subtle", color="navy",
+                        leftSection=DashIconify(icon="tabler:file-type-pdf", width=15),
+                    ),
+                ], gap="md", wrap="nowrap", align="center"),
+                px="lg", py="sm", radius="md",
+                style={**_panel_style, "borderTop": f"2px solid {ACCENT_DK}"},
+            ),
+
+            dmc.Grid([
+                dmc.GridCol(studies_panel,  span={"base": 12, "md": 2}),
+                dmc.GridCol(viewport_panel, span={"base": 12, "md": 6}),
+                dmc.GridCol(detail_panel,   span={"base": 12, "md": 4}),
+            ], gutter="md", align="stretch"),
+        ], gap="md", p="md"),
+        style={
+            "backgroundColor": BG_DEEP,
+            "minHeight": "calc(100vh - 64px)",
+            "color": TEXT_HI,
+        },
+    ),
+)
diff --git a/medical-imaging-demo/pages/vitals.py b/medical-imaging-demo/pages/vitals.py
new file mode 100644
index 0000000..ec5d337
--- /dev/null
+++ b/medical-imaging-demo/pages/vitals.py
@@ -0,0 +1,176 @@
+import dash_mantine_components as dmc
+from dash import dcc
+from dash_iconify import DashIconify
+
+from components.charts import create_vitals_chart, create_vitals_variability
+from utils.data_loader import get_vitals, df_patients
+
+VITALS_ALL = ["HR", "SpO2", "Temp", "SysBP", "DiaBP", "RR"]
+UNITS = {"HR": "bpm", "SpO2": "%", "Temp": "°C",
+         "SysBP": "mmHg", "DiaBP": "mmHg", "RR": "/min"}
+
+PATIENT_OPTIONS = [
+    {"value": row["patient_id"], "label": f"{row['patient_id']} — {row['name']}"}
+    for _, row in df_patients.head(8).iterrows()
+]
+
+DEFAULT_PATIENT = PATIENT_OPTIONS[0]["value"]
+DEFAULT_VITALS  = ["HR", "SpO2"]
+DEFAULT_PERIOD  = "24h"
+
+_df0 = get_vitals(DEFAULT_PATIENT, DEFAULT_PERIOD)
+
+layout = dmc.Stack([
+    # ── Page Header ────────────────────────────────────────────────────────────
+    dmc.Group([
+        dmc.Stack([
+            dmc.Title("Patient Vitals", order=2),
+            dmc.Text("Vital-sign trends with normal-range reference bands",
+                     c="dimmed"),
+        ], gap=4),
+    ], justify="space-between", mb="md"),
+
+    # ── Filter bar ─────────────────────────────────────────────────────────────
+    dmc.Paper(
+        dmc.Group([
+            dmc.Group([
+                dmc.Text("Patient", size="xs", fw=500, c="dimmed"),
+                dmc.Select(
+                    id="vitals-patient-select",
+                    data=PATIENT_OPTIONS,
+                    value=DEFAULT_PATIENT,
+                    w=260, size="xs",
+                ),
+            ], gap=6),
+            dmc.Divider(orientation="vertical", style={"alignSelf": "stretch"}),
+            dmc.Group([
+                dmc.Text("Period", size="xs", fw=500, c="dimmed"),
+                dmc.SegmentedControl(
+                    id="vitals-period",
+                    data=["6h", "12h", "24h", "48h", "72h"],
+                    value=DEFAULT_PERIOD, size="xs",
+                ),
+            ], gap=6),
+            dmc.Divider(orientation="vertical", style={"alignSelf": "stretch"}),
+            dmc.Group([
+                dmc.Text("Vitals", size="xs", fw=500, c="dimmed"),
+                dmc.MultiSelect(
+                    id="vitals-select",
+                    data=[{"value": v, "label": v} for v in VITALS_ALL],
+                    value=DEFAULT_VITALS,
+                    w=260, size="xs", clearable=True,
+                ),
+            ], gap=6),
+            dmc.Divider(orientation="vertical", style={"alignSelf": "stretch"}),
+            dmc.Group([
+                dmc.Text("Display", size="xs", fw=500, c="dimmed"),
+                dmc.Switch(id="vitals-ref-toggle", label="Reference bands",
+                           checked=True, size="xs"),
+                dmc.Select(
+                    id="vitals-ma-select",
+                    data=[{"value": "none", "label": "No smoothing"},
+                          {"value": "20",   "label": "20-pt MA"},
+                          {"value": "50",   "label": "50-pt MA"}],
+                    value="none", w=130, size="xs",
+                ),
+            ], gap=8),
+        ], gap="md", align="center"),
+        p="sm", radius="md", withBorder=True,
+    ),
+
+    # ── Stat Cards ─────────────────────────────────────────────────────────────
+    dmc.SimpleGrid([
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Current HR", size="sm", c="dimmed"),
+                dmc.Text(
+                    f"{_df0['HR'].iloc[-1]:.0f} bpm" if not _df0.empty else "—",
+                    size="xl", fw=700, id="stat-current-hr",
+                ),
+                dmc.Text("Latest reading", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md", radius="md", withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Period High / Low", size="sm", c="dimmed"),
+                dmc.Group([
+                    dmc.Text(
+                        f"{_df0['HR'].max():.0f}" if not _df0.empty else "—",
+                        size="xl", fw=700, c="red", id="stat-high-hr",
+                    ),
+                    dmc.Text("/", size="xl", c="dimmed"),
+                    dmc.Text(
+                        f"{_df0['HR'].min():.0f}" if not _df0.empty else "—",
+                        size="xl", fw=700, c="blue", id="stat-low-hr",
+                    ),
+                ], gap=4),
+                dmc.Text("bpm", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md", radius="md", withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Current SpO₂", size="sm", c="dimmed"),
+                dmc.Text(
+                    f"{_df0['SpO2'].iloc[-1]:.1f}%" if not _df0.empty else "—",
+                    size="xl", fw=700, id="stat-current-spo2",
+                ),
+                dmc.Text("Latest reading", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md", radius="md", withBorder=True,
+        ),
+        dmc.Paper(
+            dmc.Stack([
+                dmc.Text("Abnormal Readings", size="sm", c="dimmed"),
+                dmc.Text("—", size="xl", fw=700, c="red", id="stat-abnormal"),
+                dmc.Text("Outside reference range", size="xs", c="dimmed"),
+            ], gap=4),
+            p="md", radius="md", withBorder=True,
+        ),
+    ], cols={"base": 2, "md": 4}, spacing="md"),
+
+    # ── Charts with tabs ───────────────────────────────────────────────────────
+    dmc.Paper(
+        dmc.Stack([
+            dmc.Tabs([
+                dmc.TabsList([
+                    dmc.TabsTab("Trend", value="trend"),
+                    dmc.TabsTab("Variability", value="var"),
+                ]),
+                dmc.TabsPanel(
+                    dcc.Graph(
+                        id="vitals-trend-chart",
+                        figure=create_vitals_chart(_df0, DEFAULT_VITALS),
+                        config={"displayModeBar": False},
+                        style={"height": "400px"},
+                    ),
+                    value="trend", pt="md",
+                ),
+                dmc.TabsPanel(
+                    dcc.Graph(
+                        id="vitals-var-chart",
+                        figure=create_vitals_variability(_df0, DEFAULT_VITALS),
+                        config={"displayModeBar": False},
+                        style={"height": "400px"},
+                    ),
+                    value="var", pt="md",
+                ),
+            ], value="trend"),
+        ], gap="sm"),
+        p="md", radius="md", withBorder=True,
+    ),
+
+    # ── Vitals Summary Table ───────────────────────────────────────────────────
+    dmc.Paper(
+        dmc.Stack([
+            dmc.Text("Vitals Summary", fw=600, size="lg"),
+            dmc.Text("Min / Mean / Max for the selected period",
+                     size="xs", c="dimmed"),
+            dmc.Divider(my="xs"),
+            dmc.SimpleGrid(id="vitals-summary-grid", cols=3, spacing="sm"),
+        ], gap="sm"),
+        p="md", radius="md", withBorder=True,
+    ),
+
+], gap="md")
diff --git a/medical-imaging-demo/requirements.txt b/medical-imaging-demo/requirements.txt
new file mode 100644
index 0000000..54a2459
--- /dev/null
+++ b/medical-imaging-demo/requirements.txt
@@ -0,0 +1,13 @@
+dash[fastapi]==4.2.0rc3
+dash-mantine-components>=0.14.0
+dash-iconify>=0.1.2
+pandas>=2.0.0
+plotly>=5.18.0
+numpy>=1.24.0
+uvicorn[standard]
+reportlab>=4.0.0
+kaleido==0.2.1
+PyPDF2>=3.0.0
+Pillow>=10.0.0
+requests>=2.31.0
+scipy>=1.11.0
diff --git a/medical-imaging-demo/scripts/generate_data.py b/medical-imaging-demo/scripts/generate_data.py
new file mode 100644
index 0000000..4c204e5
--- /dev/null
+++ b/medical-imaging-demo/scripts/generate_data.py
@@ -0,0 +1,216 @@
+"""Generate all synthetic clinical CSVs for the demo."""
+import numpy as np
+import pandas as pd
+from pathlib import Path
+from datetime import datetime, timedelta
+
+np.random.seed(42)
+ROOT = Path(__file__).parent.parent
+DATA = ROOT / "data"
+DATA.mkdir(exist_ok=True)
+
+# ── Names ────────────────────────────────────────────────────────────────────
+FIRST = ["James","Mary","Robert","Patricia","John","Jennifer","Michael","Linda",
+         "David","Barbara","William","Elizabeth","Richard","Susan","Joseph",
+         "Jessica","Thomas","Sarah","Charles","Karen","Christopher","Lisa",
+         "Daniel","Nancy","Matthew","Betty","Anthony","Margaret","Mark","Sandra"]
+LAST  = ["Smith","Johnson","Williams","Brown","Jones","Garcia","Miller","Davis",
+         "Wilson","Moore","Taylor","Anderson","Thomas","Jackson","White","Harris",
+         "Martin","Thompson","Young","Lewis","Walker","Hall","Allen","King",
+         "Wright","Scott","Green","Baker","Adams","Nelson"]
+
+DIAGNOSES   = ["Pneumonia","Sepsis","COPD Exacerbation","Heart Failure","Acute MI",
+               "Stroke","Trauma","UTI","GI Bleed","Pulmonary Embolism",
+               "Hypertensive Crisis","Diabetic Ketoacidosis","Cellulitis",
+               "Atrial Fibrillation","Respiratory Failure"]
+WARDS       = ["ICU","MICU","CCU","Step-Down","General Med","ED Obs"]
+DEPARTMENTS = ["Cardiology","Pulmonology","Neurology","General Medicine",
+               "Surgery","Nephrology","Oncology"]
+
+# ── Patient roster ────────────────────────────────────────────────────────────
+N = 60
+rows = []
+for i in range(N):
+    ward = np.random.choice(WARDS, p=[0.10,0.08,0.07,0.15,0.45,0.15])
+    rows.append({
+        "patient_id":    f"PT{i+1001}",
+        "name":          f"{np.random.choice(FIRST)} {np.random.choice(LAST)}",
+        "age":           int(np.random.randint(22, 91)),
+        "gender":        np.random.choice(["M","F"]),
+        "diagnosis":     np.random.choice(DIAGNOSES),
+        "ward":          ward,
+        "department":    np.random.choice(DEPARTMENTS),
+        "admitted_date": (datetime(2026,6,1) + timedelta(days=int(np.random.randint(0,15)))).strftime("%Y-%m-%d"),
+        "los_days":      int(np.random.randint(1,15)),
+        "risk_score":    round(float(np.random.beta(2,5)*100), 1),
+        "sepsis_risk":   round(float(np.random.beta(1.5,8)*100), 1),
+        "fall_risk":     round(float(np.random.beta(2,6)*100), 1),
+        "readmit_risk":  round(float(np.random.beta(2,5)*100), 1),
+        "deterioration_risk": round(float(np.random.beta(1.5,7)*100), 1),
+        "is_icu":        ward in ("ICU","MICU","CCU"),
+    })
+
+df_patients = pd.DataFrame(rows)
+# Ensure first 5 are ICU patients for the live panel
+for i in range(5):
+    df_patients.at[i, "ward"] = ["ICU","MICU","CCU","ICU","MICU"][i]
+    df_patients.at[i, "is_icu"] = True
+df_patients.to_csv(DATA / "patients.csv", index=False)
+print(f"patients.csv  — {len(df_patients)} rows")
+
+# ── Vitals time series (72 h, 15-min intervals, 8 ICU patients) ───────────────
+ICU_BASES = [
+    {"patient_id":"PT1001","base_hr":72,"base_spo2":98.5,"base_sbp":118,"base_dbp":76,"base_rr":14},
+    {"patient_id":"PT1002","base_hr":92,"base_spo2":96.8,"base_sbp":148,"base_dbp":90,"base_rr":18},
+    {"patient_id":"PT1003","base_hr":88,"base_spo2":93.5,"base_sbp":108,"base_dbp":68,"base_rr":21},
+    {"patient_id":"PT1004","base_hr":78,"base_spo2":99.1,"base_sbp":168,"base_dbp":97,"base_rr":16},
+    {"patient_id":"PT1005","base_hr":66,"base_spo2":98.9,"base_sbp":125,"base_dbp":80,"base_rr":13},
+    {"patient_id":"PT1006","base_hr":95,"base_spo2":95.2,"base_sbp":135,"base_dbp":82,"base_rr":20},
+    {"patient_id":"PT1007","base_hr":74,"base_spo2":97.8,"base_sbp":120,"base_dbp":75,"base_rr":15},
+    {"patient_id":"PT1008","base_hr":82,"base_spo2":96.0,"base_sbp":142,"base_dbp":88,"base_rr":17},
+]
+
+base_time = datetime(2026, 6, 14, 0, 0, 0)
+vitals_rows = []
+for p in ICU_BASES:
+    pid = p["patient_id"]
+    hr  = float(p["base_hr"])
+    spo = float(p["base_spo2"])
+    sbp = float(p["base_sbp"])
+    dbp = float(p["base_dbp"])
+    rr  = float(p["base_rr"])
+    for i in range(72 * 4):
+        t    = base_time + timedelta(minutes=15*i)
+        hour = t.hour
+        # Gentle circadian drift
+        hr  = float(np.clip(hr  + np.random.normal(-0.05*(hr-p["base_hr"])*0.1, 1.2), 40, 200))
+        spo = float(np.clip(spo + np.random.normal(-0.05*(spo-p["base_spo2"])*0.1, 0.25), 85, 100))
+        sbp = float(np.clip(sbp + np.random.normal(0, 2.0), 70, 220))
+        dbp = float(np.clip(dbp + np.random.normal(0, 1.5), 40, 130))
+        rr  = float(np.clip(rr  + np.random.normal(0, 0.4), 8, 40))
+        vitals_rows.append({
+            "patient_id": pid,
+            "timestamp":  t.strftime("%Y-%m-%d %H:%M:%S"),
+            "HR":   round(hr,  1),
+            "SpO2": round(spo, 1),
+            "Temp": round(np.random.normal(37.1, 0.3), 1),
+            "SysBP": round(sbp, 1),
+            "DiaBP": round(dbp, 1),
+            "RR":   round(rr,  1),
+        })
+
+df_vitals = pd.DataFrame(vitals_rows)
+df_vitals.to_csv(DATA / "vitals.csv", index=False)
+print(f"vitals.csv    — {len(df_vitals)} rows")
+
+# ── Cohort biomarkers (200 patients) ─────────────────────────────────────────
+COH_DIAG = ["Type 2 Diabetes","Hypertension","COPD","Heart Failure","CKD",
+            "Obesity","CAD","Asthma","Hyperlipidemia","Atrial Fibrillation"]
+cohort = []
+for i in range(200):
+    age  = int(np.random.randint(20, 85))
+    bmi  = float(np.clip(np.random.normal(28, 6), 16, 55))
+    sbp  = float(np.clip(np.random.normal(130, 22), 80, 220))
+    ldl  = float(np.clip(np.random.normal(115, 38), 40, 260))
+    hba1c= float(np.clip(np.random.normal(6.8, 1.6), 4.5, 14))
+    egfr = float(np.clip(np.random.normal(68, 26), 5, 130))
+
+    score = (int(sbp>160)*2 + int(ldl>160) + int(hba1c>8)*2 +
+             int(egfr<45)*2 + int(bmi>35))
+    risk  = "High" if score >= 4 else "Medium" if score >= 2 else "Low"
+    cohort.append({
+        "patient_id":  f"CO{i+2001}",
+        "age":          age,
+        "gender":       np.random.choice(["M","F"]),
+        "bmi":          round(bmi, 1),
+        "systolic_bp":  round(sbp, 0),
+        "ldl":          round(ldl, 1),
+        "hba1c":        round(hba1c, 1),
+        "egfr":         round(egfr, 1),
+        "diagnosis":    np.random.choice(COH_DIAG),
+        "risk_level":   risk,
+    })
+
+df_cohort = pd.DataFrame(cohort)
+df_cohort.to_csv(DATA / "cohort.csv", index=False)
+print(f"cohort.csv    — {len(df_cohort)} rows")
+
+# ── Admissions time series (30 days) ─────────────────────────────────────────
+BASE_COUNT = {"Cardiology":12,"Pulmonology":8,"Neurology":6,
+              "General Medicine":20,"Surgery":10,"Nephrology":5,"Oncology":4}
+adm_rows = []
+for d in range(30):
+    dt = datetime(2026,5,17) + timedelta(days=d)
+    for dept, base in BASE_COUNT.items():
+        # Weekend dip
+        weekend = dt.weekday() >= 5
+        count = max(0, int(np.random.normal(base * (0.75 if weekend else 1.0), 2)))
+        adm_rows.append({"date": dt.strftime("%Y-%m-%d"), "department": dept, "admissions": count})
+
+pd.DataFrame(adm_rows).to_csv(DATA / "admissions.csv", index=False)
+print(f"admissions.csv — {len(adm_rows)} rows")
+
+# ── Labs (20 patients) ────────────────────────────────────────────────────────
+LAB_TESTS = {
+    "WBC":        (4.5,  11.0, "10³/µL"),
+    "Hemoglobin": (12.0, 17.5, "g/dL"),
+    "Platelets":  (150,  400,  "10³/µL"),
+    "Sodium":     (136,  145,  "mEq/L"),
+    "Potassium":  (3.5,  5.0,  "mEq/L"),
+    "Creatinine": (0.7,  1.3,  "mg/dL"),
+    "BUN":        (7,    25,   "mg/dL"),
+    "Glucose":    (70,   100,  "mg/dL"),
+    "Lactate":    (0.5,  2.0,  "mmol/L"),
+    "Troponin":   (0.0,  0.04, "ng/mL"),
+}
+lab_rows = []
+for _, pat in df_patients.head(20).iterrows():
+    for test, (lo, hi, unit) in LAB_TESTS.items():
+        mid = (lo + hi) / 2
+        val = round(float(np.clip(np.random.normal(mid, (hi-lo)*0.3), lo*0.5, hi*2)), 3)
+        flag = "H" if val > hi else "L" if val < lo else "N"
+        lab_rows.append({
+            "patient_id": pat["patient_id"],
+            "date": "2026-06-15",
+            "test": test,
+            "value": val,
+            "unit": unit,
+            "reference_low": lo,
+            "reference_high": hi,
+            "flag": flag,
+        })
+
+pd.DataFrame(lab_rows).to_csv(DATA / "labs.csv", index=False)
+print(f"labs.csv      — {len(lab_rows)} rows")
+
+# ── Imaging studies metadata ──────────────────────────────────────────────────
+STUDIES = [
+    {"study_id":"ST0001","findings":"No Finding",               "age":45,"gender":"M","view":"PA"},
+    {"study_id":"ST0002","findings":"Cardiomegaly",             "age":67,"gender":"F","view":"PA"},
+    {"study_id":"ST0003","findings":"Pleural Effusion|Cardiomegaly","age":72,"gender":"M","view":"AP"},
+    {"study_id":"ST0004","findings":"Pneumonia|Consolidation",  "age":58,"gender":"F","view":"PA"},
+    {"study_id":"ST0005","findings":"Atelectasis",              "age":81,"gender":"M","view":"AP"},
+    {"study_id":"ST0006","findings":"Nodule",                   "age":63,"gender":"F","view":"PA"},
+    {"study_id":"ST0007","findings":"Pneumothorax",             "age":34,"gender":"M","view":"AP"},
+    {"study_id":"ST0008","findings":"Mass",                     "age":69,"gender":"F","view":"PA"},
+]
+pat_names = df_patients["name"].tolist()
+study_rows = []
+for i, s in enumerate(STUDIES):
+    study_rows.append({
+        "study_id":     s["study_id"],
+        "patient_id":   f"PT{i+1001}",
+        "patient_name": pat_names[i],
+        "age":          s["age"],
+        "gender":       s["gender"],
+        "view_position":s["view"],
+        "finding_labels":s["findings"],
+        "study_date":   "2026-06-15",
+        "accession":    f"ACC{np.random.randint(100000,999999)}",
+        "image_file":   f"xray_{i+1:02d}.png",
+        "referrer":     "Dr. " + np.random.choice(LAST),
+    })
+
+pd.DataFrame(study_rows).to_csv(DATA / "studies.csv", index=False)
+print(f"studies.csv   — {len(study_rows)} rows")
+print("\nAll data generated.")
diff --git a/medical-imaging-demo/scripts/generate_xrays.py b/medical-imaging-demo/scripts/generate_xrays.py
new file mode 100644
index 0000000..16fd90a
--- /dev/null
+++ b/medical-imaging-demo/scripts/generate_xrays.py
@@ -0,0 +1,164 @@
+"""Generate synthetic chest X-ray-like grayscale PNG images for the demo."""
+import numpy as np
+from PIL import Image, ImageFilter
+from pathlib import Path
+
+ROOT   = Path(__file__).parent.parent
+OUTDIR = ROOT / "assets" / "xrays"
+OUTDIR.mkdir(parents=True, exist_ok=True)
+
+STUDIES = [
+    ("xray_01.png", [],                                    42),
+    ("xray_02.png", ["Cardiomegaly"],                      43),
+    ("xray_03.png", ["Pleural Effusion","Cardiomegaly"],   44),
+    ("xray_04.png", ["Pneumonia","Consolidation"],         45),
+    ("xray_05.png", ["Atelectasis"],                       46),
+    ("xray_06.png", ["Nodule"],                            47),
+    ("xray_07.png", ["Pneumothorax"],                      48),
+    ("xray_08.png", ["Mass"],                              49),
+]
+
+
+def generate_xray(width: int = 512, height: int = 512,
+                  findings: list = None, seed: int = 42) -> Image.Image:
+    """Return a PIL grayscale image resembling a chest X-ray PA view."""
+    np.random.seed(seed)
+    if findings is None:
+        findings = []
+
+    W, H = width, height
+    cx, cy = W / 2, H / 2
+    img = np.zeros((H, W), dtype=np.float32)
+
+    yy, xx = np.mgrid[0:H, 0:W]
+
+    # ── Chest outline ─────────────────────────────────────────────────────────
+    chest = ((xx - cx) ** 2 / (cx * 0.88) ** 2 +
+             (yy - cy * 0.96) ** 2 / (cy * 0.92) ** 2) < 1
+    img[chest] = 35
+
+    # ── Lung fields (darker — air) ────────────────────────────────────────────
+    lL = ((xx - cx * 0.57) ** 2 / (cx * 0.26) ** 2 +
+          (yy - cy * 0.84) ** 2 / (cy * 0.36) ** 2) < 1
+    rL = ((xx - cx * 1.43) ** 2 / (cx * 0.26) ** 2 +
+          (yy - cy * 0.84) ** 2 / (cy * 0.36) ** 2) < 1
+    img[lL] = 14
+    img[rL] = 14
+
+    # ── Mediastinum / heart ───────────────────────────────────────────────────
+    heart = ((xx - cx * 0.91) ** 2 / (cx * 0.19) ** 2 +
+             (yy - cy * 1.06) ** 2 / (cy * 0.22) ** 2) < 1
+    img[heart] = 125
+
+    # ── Aortic knob ───────────────────────────────────────────────────────────
+    aorta = ((xx - cx * 0.84) ** 2 + (yy - cy * 0.60) ** 2) < (W * 0.05) ** 2
+    img[aorta] = 145
+
+    # ── Trachea ───────────────────────────────────────────────────────────────
+    trachea = (np.abs(xx - cx) < W * 0.025) & (yy < cy * 0.58)
+    img[trachea] = 8
+
+    # ── Spine ─────────────────────────────────────────────────────────────────
+    spine = (np.abs(xx - cx) < W * 0.025) & (yy > cy * 0.38) & (yy < cy * 1.65)
+    img[spine] = np.maximum(img[spine], 195)
+
+    # ── Clavicles ─────────────────────────────────────────────────────────────
+    for x in range(int(cx * 0.20), int(cx)):
+        cy_clav = int(cy * 0.27 - cy * 0.09 * (x - cx * 0.20) / (cx * 0.80))
+        if 0 <= cy_clav < H:
+            img[max(0, cy_clav - 2):cy_clav + 3, x] = 210
+    for x in range(int(cx), int(cx * 1.80)):
+        cy_clav = int(cy * 0.27 + cy * 0.09 * (x - cx) / (cx * 0.80))
+        if 0 <= cy_clav < H:
+            img[max(0, cy_clav - 2):cy_clav + 3, x] = 210
+
+    # ── Ribs ──────────────────────────────────────────────────────────────────
+    for i in range(12):
+        rib_y0 = cy * 0.24 + i * cy * 0.12
+        rw = 2
+        for side, x0, x1, xref, sign in [
+            ("L", int(cx*0.22), int(cx*0.88), cx*0.22, 1),
+            ("R", int(cx*1.12), int(cx*1.78), cx*1.78, -1),
+        ]:
+            span = abs(x1 - x0)
+            for x in range(x0, x1):
+                arc = int(rib_y0 + cy * 0.07 * np.sin(np.pi * abs(x - xref) / span))
+                if 0 <= arc - rw and arc + rw < H:
+                    img[arc - rw:arc + rw + 1, x] = np.maximum(
+                        img[arc - rw:arc + rw + 1, x], 195)
+
+    # ── Diaphragm ─────────────────────────────────────────────────────────────
+    for x in range(int(cx * 0.22), int(cx * 0.90)):
+        d = int(cy * 1.36 - cy * 0.10 * np.sin(np.pi * (x - cx*0.22) / (cx*0.68)))
+        if 0 <= d < H:
+            img[d:min(H, d+3), x] = 190
+    for x in range(int(cx * 1.10), int(cx * 1.78)):
+        d = int(cy * 1.42 - cy * 0.09 * np.sin(np.pi * (cx*1.78 - x) / (cx*0.68)))
+        if 0 <= d < H:
+            img[d:min(H, d+3), x] = 190
+
+    # ── Pulmonary vascular markings ───────────────────────────────────────────
+    for lung_mask, x_base in [(lL, cx * 0.40), (rL, cx * 1.30)]:
+        for _ in range(18):
+            vx = int(np.random.uniform(x_base * 0.8, x_base * 1.2))
+            vy = int(np.random.uniform(cy * 0.28, cy * 0.65))
+            ln = int(np.random.uniform(25, 90))
+            ang = np.random.uniform(-0.5, 0.5)
+            intens = float(np.random.uniform(28, 65))
+            for j in range(ln):
+                px_ = int(vx + j * np.sin(ang))
+                py_ = int(vy + j * np.cos(ang))
+                if (0 <= px_ < W and 0 <= py_ < H and lung_mask[py_, px_]):
+                    img[py_, px_] = min(255, img[py_, px_] + intens * (1 - j / ln))
+
+    # ── Findings ──────────────────────────────────────────────────────────────
+    for f in findings:
+        if f == "Cardiomegaly":
+            hc = ((xx - cx * 0.88) ** 2 / (cx * 0.28) ** 2 +
+                  (yy - cy * 1.03) ** 2 / (cy * 0.26) ** 2) < 1
+            img[hc] = np.maximum(img[hc], 118)
+
+        elif f == "Pleural Effusion":
+            eff = (yy > cy * 1.22) & rL
+            img[eff] = 155
+
+        elif f == "Pneumothorax":
+            ptx = (xx < cx * 0.38) & lL
+            img[ptx] = 5
+            line_x = int(cx * 0.39)
+            img[int(cy*0.22):int(cy*0.88), line_x:line_x+3] = 205
+
+        elif f in ("Nodule", "Mass"):
+            sz = 11 if f == "Nodule" else 32
+            nx, ny = int(cx * 1.50), int(cy * 0.57)
+            nod = ((xx - nx) ** 2 + (yy - ny) ** 2) < sz ** 2
+            img[nod] = 170
+
+        elif f == "Atelectasis":
+            atel_y0 = int(cy * 1.20)
+            atel_y1 = int(cy * 1.27)
+            img[atel_y0:atel_y1, int(cx*0.35):int(cx*0.82)] = 145
+
+        elif f in ("Pneumonia", "Consolidation"):
+            con = ((xx - cx * 1.42) ** 2 / (cx * 0.24) ** 2 +
+                   (yy - cy * 1.12) ** 2 / (cy * 0.20) ** 2) < 1
+            img[con] = np.where(img[con] < 132, 132, img[con])
+
+        elif f == "Infiltration":
+            inf = ((xx - cx * 0.60) ** 2 / (cx * 0.20) ** 2 +
+                   (yy - cy * 1.05) ** 2 / (cy * 0.18) ** 2) < 1
+            img[inf] = np.where(img[inf] < 120, 120, img[inf])
+
+    # ── Noise + blur ──────────────────────────────────────────────────────────
+    img = np.clip(img + np.random.normal(0, 5.5, img.shape), 0, 255).astype(np.uint8)
+    pil = Image.fromarray(img, mode="L").filter(ImageFilter.GaussianBlur(radius=1.2))
+    return pil
+
+
+if __name__ == "__main__":
+    for fname, findings, seed in STUDIES:
+        out = OUTDIR / fname
+        img = generate_xray(512, 512, findings=findings, seed=seed)
+        img.save(out)
+        print(f"  {fname}  findings={findings or ['No Finding']}")
+    print(f"\n{len(STUDIES)} X-ray images written to {OUTDIR}")
diff --git a/medical-imaging-demo/utils/__init__.py b/medical-imaging-demo/utils/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/medical-imaging-demo/utils/data_loader.py b/medical-imaging-demo/utils/data_loader.py
new file mode 100644
index 0000000..93993af
--- /dev/null
+++ b/medical-imaging-demo/utils/data_loader.py
@@ -0,0 +1,104 @@
+import pandas as pd
+import pathlib
+
+ROOT      = pathlib.Path(__file__).parent.parent
+DATA_PATH = ROOT / "data"
+
+def _csv(name: str) -> pd.DataFrame:
+    return pd.read_csv(DATA_PATH / name)
+
+# Cached loads
+df_patients   = _csv("patients.csv")
+df_vitals     = _csv("vitals.csv")
+df_cohort     = _csv("cohort.csv")
+df_admissions = _csv("admissions.csv")
+df_labs       = _csv("labs.csv")
+df_studies    = _csv("studies.csv")
+
+
+# ── Census / dashboard metrics ────────────────────────────────────────────────
+def get_census_metrics() -> dict:
+    total       = len(df_patients)
+    icu_total   = df_patients["is_icu"].sum()
+    icu_cap     = 25  # beds
+    avg_los     = round(float(df_patients["los_days"].mean()), 1)
+    critical    = int((df_patients["risk_score"] > 70).sum())
+    return {
+        "total_patients": total,
+        "icu_occupancy":  round(icu_total / icu_cap * 100, 1),
+        "avg_los":        avg_los,
+        "critical_alerts":critical,
+    }
+
+def get_risk_overview() -> dict:
+    return {
+        "sepsis":       round(float(df_patients["sepsis_risk"].mean()), 1),
+        "fall":         round(float(df_patients["fall_risk"].mean()), 1),
+        "readmit":      round(float(df_patients["readmit_risk"].mean()), 1),
+        "deterioration":round(float(df_patients["deterioration_risk"].mean()), 1),
+    }
+
+
+# ── Admissions ────────────────────────────────────────────────────────────────
+def get_admissions_data(department: str = "All", period: str = "30d") -> pd.DataFrame:
+    df = df_admissions.copy()
+    df["date"] = pd.to_datetime(df["date"])
+    days = {"7d": 7, "14d": 14, "30d": 30}.get(period, 30)
+    df = df[df["date"] >= df["date"].max() - pd.Timedelta(days=days-1)]
+    if department != "All":
+        df = df[df["department"] == department]
+    return df
+
+
+# ── Vitals ────────────────────────────────────────────────────────────────────
+PERIOD_HOURS = {"6h": 6, "12h": 12, "24h": 24, "48h": 48, "72h": 72}
+
+def get_vitals(patient_id: str, period: str = "24h") -> pd.DataFrame:
+    df = df_vitals[df_vitals["patient_id"] == patient_id].copy()
+    df["timestamp"] = pd.to_datetime(df["timestamp"])
+    df = df.sort_values("timestamp")
+    hours = PERIOD_HOURS.get(period, 24)
+    cutoff = df["timestamp"].max() - pd.Timedelta(hours=hours)
+    return df[df["timestamp"] >= cutoff].reset_index(drop=True)
+
+def get_vitals_stats(patient_id: str, vital: str, period: str = "24h") -> dict:
+    df = get_vitals(patient_id, period)
+    if df.empty or vital not in df.columns:
+        return {}
+    col = df[vital]
+    return {
+        "current": round(float(col.iloc[-1]), 1),
+        "min":     round(float(col.min()), 1),
+        "max":     round(float(col.max()), 1),
+        "mean":    round(float(col.mean()), 1),
+    }
+
+
+# ── Cohort ────────────────────────────────────────────────────────────────────
+def get_cohort() -> pd.DataFrame:
+    return df_cohort.copy()
+
+
+# ── Labs ──────────────────────────────────────────────────────────────────────
+def get_labs(patient_id: str) -> pd.DataFrame:
+    return df_labs[df_labs["patient_id"] == patient_id].copy()
+
+
+# ── Studies ───────────────────────────────────────────────────────────────────
+def get_studies() -> pd.DataFrame:
+    return df_studies.copy()
+
+def get_study(study_id: str) -> dict:
+    row = df_studies[df_studies["study_id"] == study_id]
+    if row.empty:
+        return {}
+    return row.iloc[0].to_dict()
+
+
+# ── Patient helpers ───────────────────────────────────────────────────────────
+def get_patient(patient_id: str) -> dict:
+    row = df_patients[df_patients["patient_id"] == patient_id]
+    return row.iloc[0].to_dict() if not row.empty else {}
+
+def get_icu_patients() -> pd.DataFrame:
+    return df_patients[df_patients["is_icu"]].head(5).copy()
diff --git a/medical-imaging-demo/utils/pdf_export.py b/medical-imaging-demo/utils/pdf_export.py
new file mode 100644
index 0000000..9e99c10
--- /dev/null
+++ b/medical-imaging-demo/utils/pdf_export.py
@@ -0,0 +1,214 @@
+import copy
+import io
+from datetime import datetime
+
+import plotly.io as pio
+from PIL import Image as PILImage, ImageDraw, ImageFont
+from reportlab.lib import colors
+from reportlab.lib.pagesizes import A4, landscape, portrait
+from reportlab.lib.units import inch
+from reportlab.lib.utils import ImageReader
+from reportlab.pdfgen import canvas as rl_canvas
+from PyPDF2 import PdfWriter, PdfReader
+
+
+def figure_to_image_bytes(figure, width: int = 1100, height: int = 650) -> bytes:
+    try:
+        fig = copy.deepcopy(figure)
+        if isinstance(fig, dict):
+            fig.setdefault("layout", {})
+            fig["layout"]["paper_bgcolor"] = "white"
+            fig["layout"]["plot_bgcolor"]  = "white"
+        return pio.to_image(fig, format="png", width=width, height=height)
+    except Exception as e:
+        img = PILImage.new("RGB", (width, height), color=(220, 220, 220))
+        ImageDraw.Draw(img).text((20, height // 2), f"Render error: {e}", fill="black")
+        buf = io.BytesIO()
+        img.save(buf, format="PNG")
+        return buf.getvalue()
+
+
+def create_radiology_report(
+    xray_figure,
+    findings: list,
+    patient_info: dict,
+    study_info: dict,
+) -> bytes:
+    """
+    Build a PDF radiology report with:
+      - Title page (patient + study info)
+      - Full-page annotated X-ray image
+      - Findings table
+    """
+    port_w, port_h = portrait(A4)
+    land_w, land_h = landscape(A4)
+
+    out = io.BytesIO()
+    writer = PdfWriter()
+
+    # ── Title page ─────────────────────────────────────────────────────────────
+    tp = io.BytesIO()
+    cp = rl_canvas.Canvas(tp, pagesize=portrait(A4))
+
+    # Header band
+    cp.setFillColor(colors.HexColor("#0d9488"))
+    cp.rect(0, port_h - 2.2 * inch, port_w, 2.2 * inch, fill=1, stroke=0)
+
+    cp.setFillColor(colors.white)
+    cp.setFont("Helvetica-Bold", 26)
+    cp.drawCentredString(port_w / 2, port_h - 1.0 * inch, "VitalSight Radiology Report")
+    cp.setFont("Helvetica", 13)
+    cp.drawCentredString(port_w / 2, port_h - 1.65 * inch,
+                         f"Generated: {datetime.now().strftime('%B %d, %Y  %H:%M')}")
+
+    # Patient / study info table
+    info_y = port_h - 3.2 * inch
+    items = [
+        ("Patient Name",    patient_info.get("name", "—")),
+        ("Patient ID",      patient_info.get("patient_id", "—")),
+        ("Age / Gender",    f"{patient_info.get('age','—')} / {patient_info.get('gender','—')}"),
+        ("Study ID",        study_info.get("study_id", "—")),
+        ("Accession",       study_info.get("accession", "—")),
+        ("Study Date",      study_info.get("study_date", "—")),
+        ("View",            study_info.get("view_position", "—")),
+        ("Referring Physician", study_info.get("referrer", "—")),
+    ]
+    cp.setFont("Helvetica-Bold", 10)
+    cp.setFillColor(colors.HexColor("#1e293b"))
+    for label, value in items:
+        cp.setFont("Helvetica-Bold", 10)
+        cp.setFillColor(colors.HexColor("#475569"))
+        cp.drawString(1.0 * inch, info_y, f"{label}:")
+        cp.setFont("Helvetica", 10)
+        cp.setFillColor(colors.HexColor("#1e293b"))
+        cp.drawString(3.0 * inch, info_y, str(value))
+        info_y -= 0.32 * inch
+
+    # Disclaimer
+    cp.setFont("Helvetica-Oblique", 8)
+    cp.setFillColor(colors.HexColor("#94a3b8"))
+    cp.drawCentredString(port_w / 2, 0.6 * inch,
+                         "SYNTHETIC DATA — FOR DEMONSTRATION PURPOSES ONLY")
+    cp.save()
+    tp.seek(0)
+    writer.add_page(PdfReader(tp).pages[0])
+
+    # ── Annotated X-ray page ───────────────────────────────────────────────────
+    xr = io.BytesIO()
+    cl = rl_canvas.Canvas(xr, pagesize=landscape(A4))
+
+    cl.setFillColor(colors.HexColor("#0d9488"))
+    cl.setFont("Helvetica-Bold", 16)
+    cl.drawString(0.8 * inch, land_h - 0.7 * inch, "Imaging Study")
+
+    xray_bytes = figure_to_image_bytes(xray_figure, width=1100, height=750)
+    reader = ImageReader(io.BytesIO(xray_bytes))
+    img_w, img_h = 10 * inch, 6.8 * inch
+    x_off = (land_w - img_w) / 2
+    y_off = (land_h - img_h) / 2 - 0.3 * inch
+    cl.drawImage(reader, x_off, y_off, width=img_w, height=img_h)
+
+    cl.setFont("Helvetica", 7)
+    cl.setFillColor(colors.HexColor("#94a3b8"))
+    cl.drawCentredString(land_w / 2, 0.35 * inch,
+                         "SYNTHETIC — NOT FOR CLINICAL USE")
+    cl.save()
+    xr.seek(0)
+    writer.add_page(PdfReader(xr).pages[0])
+
+    # ── Findings table page ────────────────────────────────────────────────────
+    if findings:
+        ft = io.BytesIO()
+        fp = rl_canvas.Canvas(ft, pagesize=portrait(A4))
+
+        fp.setFillColor(colors.HexColor("#0d9488"))
+        fp.rect(0, port_h - 1.2 * inch, port_w, 1.2 * inch, fill=1, stroke=0)
+        fp.setFillColor(colors.white)
+        fp.setFont("Helvetica-Bold", 18)
+        fp.drawCentredString(port_w / 2, port_h - 0.75 * inch, "Findings")
+
+        headers = ["#", "Finding", "Location (px)", "Type", "Severity", "Note"]
+        col_w   = [0.3, 2.0, 2.2, 1.0, 1.0, 1.5]
+        col_x   = [1.0 * inch]
+        for w in col_w[:-1]:
+            col_x.append(col_x[-1] + w * inch)
+
+        row_y = port_h - 1.7 * inch
+        fp.setFont("Helvetica-Bold", 9)
+        fp.setFillColor(colors.HexColor("#1e293b"))
+        for i, h in enumerate(headers):
+            fp.drawString(col_x[i], row_y, h)
+        row_y -= 0.05 * inch
+        fp.setStrokeColor(colors.HexColor("#e2e8f0"))
+        fp.line(0.8 * inch, row_y, port_w - 0.8 * inch, row_y)
+        row_y -= 0.28 * inch
+
+        fp.setFont("Helvetica", 9)
+        for idx, finding in enumerate(findings, 1):
+            if row_y < 1.5 * inch:
+                break
+            fp.setFillColor(colors.HexColor("#1e293b") if idx % 2 else colors.HexColor("#f8fafc"))
+            fp.rect(0.8*inch, row_y-0.05*inch, port_w-1.6*inch, 0.28*inch, fill=1, stroke=0)
+            fp.setFillColor(colors.HexColor("#1e293b"))
+            cells = [
+                str(idx),
+                finding.get("label", "Unspecified"),
+                finding.get("location", "—"),
+                finding.get("shape_type", "rect"),
+                finding.get("severity", "—"),
+                finding.get("note", ""),
+            ]
+            for i, cell in enumerate(cells):
+                fp.drawString(col_x[i], row_y, str(cell)[:28])
+            row_y -= 0.28 * inch
+
+        fp.setFont("Helvetica-Oblique", 7)
+        fp.setFillColor(colors.HexColor("#94a3b8"))
+        fp.drawCentredString(port_w / 2, 0.5 * inch, "SYNTHETIC — NOT FOR CLINICAL USE")
+        fp.save()
+        ft.seek(0)
+        writer.add_page(PdfReader(ft).pages[0])
+
+    writer.write(out)
+    out.seek(0)
+    return out.getvalue()
+
+
+def create_summary_pdf(figures: list, titles: list, report_title: str = "Clinical Report") -> bytes:
+    """Multi-figure PDF (for future use)."""
+    port_w, port_h = portrait(A4)
+    land_w, land_h = landscape(A4)
+    out = io.BytesIO()
+    writer = PdfWriter()
+
+    tp = io.BytesIO()
+    cp = rl_canvas.Canvas(tp, pagesize=portrait(A4))
+    cp.setFillColor(colors.HexColor("#0d9488"))
+    cp.rect(0, port_h - 2*inch, port_w, 2*inch, fill=1, stroke=0)
+    cp.setFillColor(colors.white)
+    cp.setFont("Helvetica-Bold", 26)
+    cp.drawCentredString(port_w/2, port_h - 1.1*inch, report_title)
+    cp.setFont("Helvetica", 12)
+    cp.drawCentredString(port_w/2, port_h - 1.7*inch,
+                         datetime.now().strftime("%B %d, %Y"))
+    cp.save()
+    tp.seek(0)
+    writer.add_page(PdfReader(tp).pages[0])
+
+    for fig, title in zip(figures, titles):
+        pb = io.BytesIO()
+        cl = rl_canvas.Canvas(pb, pagesize=landscape(A4))
+        cl.setFillColor(colors.HexColor("#0d9488"))
+        cl.setFont("Helvetica-Bold", 18)
+        cl.drawString(1*inch, land_h - 0.75*inch, title)
+        img_bytes = figure_to_image_bytes(fig)
+        reader = ImageReader(io.BytesIO(img_bytes))
+        iw, ih = 10*inch, 6*inch
+        cl.drawImage(reader, (land_w-iw)/2, (land_h-ih)/2-0.4*inch, width=iw, height=ih)
+        cl.save()
+        pb.seek(0)
+        writer.add_page(PdfReader(pb).pages[0])
+
+    writer.write(out)
+    out.seek(0)
+    return out.getvalue()