Inspired by Trulia Trends - but with code and using SVG.
Example data shows concurrent user sessions over time, taken from a development environment.
MIT Licensed, see LICENSE.MD.
forked from ganezasan's block: Day / Hour Heatmap in v4
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<meta charset="utf-8">
<html>
<head>
<style>
rect.bordered {
stroke: #E6E6E6;
stroke-width:2px;
}
text.mono {
font-size: 9pt;
font-family: Consolas, courier;
fill: #aaa;
}
text.axis-workweek {
fill: #000;
}
text.axis-worktime {
fill: #000;
}
</style>
<script src="https://d3js.org/d3.v4.js"></script>
</head>
<body>
<div id="chart"></div>
<div id="dataset-picker">
</div>
<script type="text/javascript">
const margin = { top: 50, right: 0, bottom: 100, left: 30 },
width = 960 - margin.left - margin.right,
height = 430 - margin.top - margin.bottom,
gridSize = Math.floor(width / 24),
legendElementWidth = gridSize*2,
buckets = 9,
colors = ["#ffffd9","#edf8b1","#c7e9b4","#7fcdbb","#41b6c4","#1d91c0","#225ea8","#253494","#081d58"], // alternatively colorbrewer.YlGnBu[9]
days = ["Mo", "Tu", "We", "Th", "Fr", "Sa", "Su"],
times = ["1a", "2a", "3a", "4a", "5a", "6a", "7a", "8a", "9a", "10a", "11a", "12a", "1p", "2p", "3p", "4p", "5p", "6p", "7p", "8p", "9p", "10p", "11p", "12p"];
datasets = ["data.tsv", "data2.tsv"];
const svg = d3.select("#chart").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 + ")");
const dayLabels = svg.selectAll(".dayLabel")
.data(days)
.enter().append("text")
.text(function (d) { return d; })
.attr("x", 0)
.attr("y", (d, i) => i * gridSize)
.style("text-anchor", "end")
.attr("transform", "translate(-6," + gridSize / 1.5 + ")")
.attr("class", (d, i) => ((i >= 0 && i <= 4) ? "dayLabel mono axis axis-workweek" : "dayLabel mono axis"));
const timeLabels = svg.selectAll(".timeLabel")
.data(times)
.enter().append("text")
.text((d) => d)
.attr("x", (d, i) => i * gridSize)
.attr("y", 0)
.style("text-anchor", "middle")
.attr("transform", "translate(" + gridSize / 2 + ", -6)")
.attr("class", (d, i) => ((i >= 7 && i <= 16) ? "timeLabel mono axis axis-worktime" : "timeLabel mono axis"));
const type = (d) => {
return {
day: +d.day,
hour: +d.hour,
value: +d.value
};
};
const heatmapChart = function(tsvFile) {
d3.tsv(tsvFile, type, (error, data) => {
const colorScale = d3.scaleQuantile()
.domain([0, buckets - 1, d3.max(data, (d) => d.value)])
.range(colors);
const cards = svg.selectAll(".hour")
.data(data, (d) => d.day+':'+d.hour);
cards.append("title");
cards.enter().append("rect")
.attr("x", (d) => (d.hour - 1) * gridSize)
.attr("y", (d) => (d.day - 1) * gridSize)
.attr("rx", 4)
.attr("ry", 4)
.attr("class", "hour bordered")
.attr("width", gridSize)
.attr("height", gridSize)
.style("fill", colors[0])
.merge(cards)
.transition()
.duration(1000)
.style("fill", (d) => colorScale(d.value));
cards.select("title").text((d) => d.value);
cards.exit().remove();
const legend = svg.selectAll(".legend")
.data([0].concat(colorScale.quantiles()), (d) => d);
const legend_g = legend.enter().append("g")
.attr("class", "legend");
legend_g.append("rect")
.attr("x", (d, i) => legendElementWidth * i)
.attr("y", height)
.attr("width", legendElementWidth)
.attr("height", gridSize / 2)
.style("fill", (d, i) => colors[i]);
legend_g.append("text")
.attr("class", "mono")
.text((d) => "≥ " + Math.round(d))
.attr("x", (d, i) => legendElementWidth * i)
.attr("y", height + gridSize);
legend.exit().remove();
});
};
heatmapChart(datasets[0]);
const datasetpicker = d3.select("#dataset-picker")
.selectAll(".dataset-button")
.data(datasets);
datasetpicker.enter()
.append("input")
.attr("value", (d) => "Dataset " + d)
.attr("type", "button")
.attr("class", "dataset-button")
.on("click", (d) => heatmapChart(d));
</script>
</body>
</html>
Modified http://d3js.org/d3.v4.js to a secure url
https://d3js.org/d3.v4.js