diff --git a/calibrationValuesGraph.html b/calibrationValuesGraph.html
new file mode 100644
index 00000000..be7d8ecd
--- /dev/null
+++ b/calibrationValuesGraph.html
@@ -0,0 +1,98 @@
+<!--
+D3 calibration graph. Run the following to start a simple python web server in this directory:
+
+    python -m SimpleHTTPServer 8888
+
+Now you can open the graph of calibrationValues.csv at
+
+    http://localhost:8888/calibrationValuesGraph.html
+ -->
+<!DOCTYPE html>
+<meta charset="utf-8">
+<style>
+
+.line {
+  fill: none;
+  stroke-width: 1.5px;
+}
+
+</style>
+<svg width="960" height="500"></svg>
+<script src="https://d3js.org/d3.v5.min.js"></script>
+<script>
+
+var svg = d3.select("svg"),
+    margin = {top: 20, right: 80, bottom: 30, left: 50},
+    width = svg.attr("width") - margin.left - margin.right,
+    height = svg.attr("height") - margin.top - margin.bottom,
+    g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
+
+var x = d3.scaleLinear().range([0, width]),
+    y = d3.scaleLinear().range([height, 0]),
+    z = d3.scaleSequential(d3.interpolateBrBG);
+
+var line = d3.line()
+    .curve(d3.curveBasis)
+    .x(function(d) { return x(d.index); })
+    .y(function(d) { return y(d.value); });
+
+d3.text("calibrationValues.csv").then(function(text) {
+  var data = d3.csvParseRows(text).slice(0, 15).map(function(row) {
+    return row.slice(0,31).map(function(d, i) {
+      return {
+        index: i-15,
+        value: +d
+      };
+    });
+  });
+
+  x.domain([-15, 15]);
+  y.domain([
+    d3.min(data, function(c) { return d3.min(c, function(d) { return d.value; }); }),
+    d3.max(data, function(c) { return d3.max(c, function(d) { return d.value; }); })
+  ]);
+  z.domain(data.map(function(c, i) { return i; }));
+
+  g.append("g")
+      .attr("class", "axis axis--x")
+      .attr("transform", "translate(0," + height + ")")
+      .call(d3.axisBottom(x))
+    .append("text")
+      .attr("x", 37)
+      .attr("y", -3)
+      .attr("fill", "#000")
+      .text("Column index");
+
+
+  g.append("g")
+      .attr("class", "axis axis--y")
+      .call(d3.axisLeft(y))
+    .append("text")
+      .attr("transform", "rotate(-90)")
+      .attr("y", 6)
+      .attr("dy", "0.71em")
+      .attr("fill", "#000")
+      .text("Error (mm)");
+
+  var graphLine = g.selectAll(".graph-line")
+    .data(data)
+      .enter().append("g")
+      .attr("class", "graph-line");
+
+  graphLine.append("path")
+      .attr("class", "line")
+      .attr("d", function(d) { return line(d); })
+      .style("stroke", function(d, i) { return z(i/14); });
+
+  graphLine.append("text")
+      .attr("class", "line-label")
+      .datum(function(d, i) { return {id: i - 7, value: d[d.length - 1].value}; })
+      .attr("transform", function(d) { return "translate(" + (850 - ((d.id + 7) % 3) * 10) + "," + y(d.value) + ")"; })
+      .attr("x", 3)
+      .attr("dy", "0.35em")
+      .style("font", "10px sans-serif")
+      .style("stroke", function(d, i) { return z(i/14); })
+      .text(function(d) { return d.id; });
+});
+
+</script>
