Easy D3 Heatmap
by Mark
HTML
<script src="https://d3js.org/d3.v6.js"></script>
<meta charset="utf-8">
<div id="my_dataviz"></div>
JavaScript
// set the dimensions and margins of the graph
const margin = {top: 80, right: 25, bottom: 30, left: 40},
width = 450 - margin.left - margin.right,
height = 450 - margin.top - margin.bottom;
// append the svg object to the body of the page
const svg = d3.select("#my_dataviz")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", `translate(${margin.left}, ${margin.top})`);
//Read the data
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/heatmap_data.csv").then(function(data) {
// Labels of row and columns -> unique identifier of the column called 'group' and 'variable'
const myGroups = Array.from(new Set(data.map(d => d.group)))
const myVars = Array.from(new Set(data.map(d => d.variable)))
// Build X scales and axis:
const x = d3.scaleBand()
.range([ 0, width ])
.domain(myGroups)
.padding(0.05);
svg.append("g")
.style("font-size", 15)
.attr("transform", `translate(0, ${height})`)
.call(d3.axisBottom(x).tickSize(0))
.select(".domain").remove()
// Build Y scales and axis:
const y = d3.scaleBand()
.range([ height, 0 ])
.domain(myVars)
.padding(0.05);
svg.append("g")
.style("font-size", 15)
.call(d3.axisLeft(y).tickSize(0))
.select(".domain").remove()
// Build color scale
const myColor = d3.scaleSequential()
.interpolator(d3.interpolateYlGn)
.domain([1,100])
// create a tooltip
const tooltip = d3.select("#my_dataviz")
.append("div")
.style("opacity", 0)
.attr("class", "tooltip")
.style("background-color", "white")
.style("border", "solid")
.style("border-width", "2px")
.style("border-radius", "5px")
.style("padding", "5px")
.style("position", "absolute")
// Three function that change the tooltip when user hover / move / leave a cell
const mouseover = function(event,d) {
tooltip
...