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@tjdecke /README.md
Last active May 28, 2016

Day / Hour Heatmap

Inspired by Trulia Trends - but with code and using SVG.

Example data shows concurrent user sessions over time, taken from a development environment.

day hour value
1 1 16
1 2 20
1 3 0
1 4 0
1 5 0
1 6 2
1 7 0
1 8 9
1 9 25
1 10 49
1 11 57
1 12 61
1 13 37
1 14 66
1 15 70
1 16 55
1 17 51
1 18 55
1 19 17
1 20 20
1 21 9
1 22 4
1 23 0
1 24 12
2 1 6
2 2 2
2 3 0
2 4 0
2 5 0
2 6 2
2 7 4
2 8 11
2 9 28
2 10 49
2 11 51
2 12 47
2 13 38
2 14 65
2 15 60
2 16 50
2 17 65
2 18 50
2 19 22
2 20 11
2 21 12
2 22 9
2 23 0
2 24 13
3 1 5
3 2 8
3 3 8
3 4 0
3 5 0
3 6 2
3 7 5
3 8 12
3 9 34
3 10 43
3 11 54
3 12 44
3 13 40
3 14 48
3 15 54
3 16 59
3 17 60
3 18 51
3 19 21
3 20 16
3 21 9
3 22 5
3 23 4
3 24 7
4 1 0
4 2 0
4 3 0
4 4 0
4 5 0
4 6 2
4 7 4
4 8 13
4 9 26
4 10 58
4 11 61
4 12 59
4 13 53
4 14 54
4 15 64
4 16 55
4 17 52
4 18 53
4 19 18
4 20 3
4 21 9
4 22 12
4 23 2
4 24 8
5 1 2
5 2 0
5 3 8
5 4 2
5 5 0
5 6 2
5 7 4
5 8 14
5 9 31
5 10 48
5 11 46
5 12 50
5 13 66
5 14 54
5 15 56
5 16 67
5 17 54
5 18 23
5 19 14
5 20 6
5 21 8
5 22 7
5 23 0
5 24 8
6 1 2
6 2 0
6 3 2
6 4 0
6 5 0
6 6 0
6 7 4
6 8 8
6 9 8
6 10 6
6 11 14
6 12 12
6 13 9
6 14 14
6 15 0
6 16 4
6 17 7
6 18 6
6 19 0
6 20 0
6 21 0
6 22 0
6 23 0
6 24 0
7 1 7
7 2 6
7 3 0
7 4 0
7 5 0
7 6 0
7 7 0
7 8 0
7 9 0
7 10 0
7 11 2
7 12 2
7 13 5
7 14 6
7 15 0
7 16 4
7 17 0
7 18 2
7 19 10
7 20 7
7 21 0
7 22 19
7 23 9
7 24 4
day hour value
1 1 88
1 2 20
1 3 44
1 4 0
1 5 33
1 6 2
1 7 0
1 8 9
1 9 25
1 10 1
1 11 57
1 12 61
1 13 22
1 14 25
1 15 7
1 16 55
1 17 51
1 18 4
1 19 17
1 20 20
1 21 4
1 22 4
1 23 6
1 24 12
2 1 6
2 2 22
2 3 0
2 4 0
2 5 33
2 6 5
2 7 4
2 8 8
2 9 28
2 10 99
2 11 51
2 12 66
2 13 38
2 14 39
2 15 60
2 16 22
2 17 65
2 18 50
2 19 22
2 20 11
2 21 12
2 22 9
2 23 33
2 24 13
3 1 5
3 2 8
3 3 44
3 4 0
3 5 12
3 6 2
3 7 5
3 8 12
3 9 34
3 10 43
3 11 54
3 12 44
3 13 40
3 14 48
3 15 54
3 16 59
3 17 60
3 18 51
3 19 21
3 20 16
3 21 9
3 22 5
3 23 24
3 24 7
4 1 22
4 2 33
4 3 102
4 4 33
4 5 0
4 6 2
4 7 4
4 8 13
4 9 26
4 10 58
4 11 61
4 12 59
4 13 53
4 14 54
4 15 64
4 16 55
4 17 52
4 18 53
4 19 18
4 20 3
4 21 9
4 22 12
4 23 2
4 24 8
5 1 2
5 2 0
5 3 8
5 4 2
5 5 0
5 6 2
5 7 4
5 8 14
5 9 31
5 10 48
5 11 46
5 12 50
5 13 66
5 14 54
5 15 56
5 16 67
5 17 54
5 18 23
5 19 14
5 20 6
5 21 8
5 22 7
5 23 0
5 24 84
6 1 11
6 2 22
6 3 33
6 4 44
6 5 4
6 6 0
6 7 4
6 8 8
6 9 8
6 10 6
6 11 14
6 12 12
6 13 9
6 14 14
6 15 0
6 16 4
6 17 7
6 18 6
6 19 42
6 20 5
6 21 77
6 22 32
6 23 41
6 24 0
7 1 7
7 2 6
7 3 11
7 4 22
7 5 33
7 6 44
7 7 66
7 8 5
7 9 33
7 10 0
7 11 2
7 12 2
7 13 44
7 14 6
7 15 0
7 16 4
7 17 33
7 18 2
7 19 10
7 20 7
7 21 0
7 22 19
7 23 9
7 24 4
<!DOCTYPE html>
<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="http://d3js.org/d3.v3.js"></script>
</head>
<body>
<div id="chart"></div>
<div id="dataset-picker">
</div>
<script type="text/javascript">
var 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"];
var 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 + ")");
var dayLabels = svg.selectAll(".dayLabel")
.data(days)
.enter().append("text")
.text(function (d) { return d; })
.attr("x", 0)
.attr("y", function (d, i) { return i * gridSize; })
.style("text-anchor", "end")
.attr("transform", "translate(-6," + gridSize / 1.5 + ")")
.attr("class", function (d, i) { return ((i >= 0 && i <= 4) ? "dayLabel mono axis axis-workweek" : "dayLabel mono axis"); });
var timeLabels = svg.selectAll(".timeLabel")
.data(times)
.enter().append("text")
.text(function(d) { return d; })
.attr("x", function(d, i) { return i * gridSize; })
.attr("y", 0)
.style("text-anchor", "middle")
.attr("transform", "translate(" + gridSize / 2 + ", -6)")
.attr("class", function(d, i) { return ((i >= 7 && i <= 16) ? "timeLabel mono axis axis-worktime" : "timeLabel mono axis"); });
var heatmapChart = function(tsvFile) {
d3.tsv(tsvFile,
function(d) {
return {
day: +d.day,
hour: +d.hour,
value: +d.value
};
},
function(error, data) {
var colorScale = d3.scale.quantile()
.domain([0, buckets - 1, d3.max(data, function (d) { return d.value; })])
.range(colors);
var cards = svg.selectAll(".hour")
.data(data, function(d) {return d.day+':'+d.hour;});
cards.append("title");
cards.enter().append("rect")
.attr("x", function(d) { return (d.hour - 1) * gridSize; })
.attr("y", function(d) { return (d.day - 1) * gridSize; })
.attr("rx", 4)
.attr("ry", 4)
.attr("class", "hour bordered")
.attr("width", gridSize)
.attr("height", gridSize)
.style("fill", colors[0]);
cards.transition().duration(1000)
.style("fill", function(d) { return colorScale(d.value); });
cards.select("title").text(function(d) { return d.value; });
cards.exit().remove();
var legend = svg.selectAll(".legend")
.data([0].concat(colorScale.quantiles()), function(d) { return d; });
legend.enter().append("g")
.attr("class", "legend");
legend.append("rect")
.attr("x", function(d, i) { return legendElementWidth * i; })
.attr("y", height)
.attr("width", legendElementWidth)
.attr("height", gridSize / 2)
.style("fill", function(d, i) { return colors[i]; });
legend.append("text")
.attr("class", "mono")
.text(function(d) { return "" + Math.round(d); })
.attr("x", function(d, i) { return legendElementWidth * i; })
.attr("y", height + gridSize);
legend.exit().remove();
});
};
heatmapChart(datasets[0]);
var datasetpicker = d3.select("#dataset-picker").selectAll(".dataset-button")
.data(datasets);
datasetpicker.enter()
.append("input")
.attr("value", function(d){ return "Dataset " + d })
.attr("type", "button")
.attr("class", "dataset-button")
.on("click", function(d) {
heatmapChart(d);
});
</script>
</body>
</html>
@hugorodgerbrown

Hi there - I've just seen your heatmap (which is great btw) - and I would like to extend it to add a Title element inside each rect (so that each has a tooltip) - but am having problems working out how to do that with D3. Any clues?

@tjdecke
Owner
tjdecke commented May 13, 2013

Hi - thanks!

Added a tooltip using the svg:title element. If you want something fancy you'll have to look at some tooltip plugins (tipsy or the one from bootstrap for example). :-)

@eddy1982

Hi, thanks for sharing this.

Do you have any idea why heatmap doesn't appear on chrome right now? but it displays correctly on firefox. I used to see it on chrome.

@patricksurry

I also discovered it doesn't display on Chrome (v 27.0.1453.93, OS X) but it works in Safari

@tjdecke
Owner
tjdecke commented Jun 8, 2013

Thanks for noticing!

Something told me sourcing colorbrewer from raw.github.com was a bad idea.

Anyways, it is fixed now!

@jpiaggio
jpiaggio commented Jul 1, 2013

Greate example,
Is there a way to make an action when the user clicks ok a cell?

@farrukhsubhani

you can use simple javascript to add actions on svg elements

@AAverin
AAverin commented Sep 18, 2013

Hi. Thanks for the nice heatmap code.
I was reworking it for the project (scaling and coloring mostly), and noticed this:
var colorScale = d3.scale.quantile()
.domain([0, buckets - 1, d3.max(data, function (d) { return d.value; })])
.range(colors);

I was wondering why domain has 3 arguments?
In case of default 9 buckets and when value in data is very high (eg 300) it gives a domain of [0, 8, 300]. mapping that to a range results in a little strange looking distribution where half of the scale is between 0 and 8, and the rest is distributed from 8 to 300.

That also doesn't look good if you need to display a heatmap with only 0 values - some default state with no data present.

@liamjm
liamjm commented Sep 25, 2013

Great work!

What licence is this released under? Any restrictions?

@tjdecke
Owner
tjdecke commented Oct 18, 2013

@AAverin Thanks! I think this was a hack to counter the strange value distribution I had in my use-case. I have removed it in my use-case and you should too. :-)
@liamjm It's sample code so it's in the public domain - use it however you want. :-)

@zohaibmomin

Does not work in IE8 .IE8 doesn't support SVG.
Any alternatives or suggestions??

Any easy fix in the same code would help a lot .

@tjdecke
Owner
tjdecke commented Mar 27, 2014

@zohaibmomin: This is a D3 example, and D3 does not support IE8 or below.

@FreekKalter

@AAverin You can pass the domain function of quantile the whole array of values. It will calculate a better distribution, even when the data is in the rage 100-200 (not starting from 0) for example. The line in question becomes this:

var colorScale = d3.scale.quantile()
        .domain(data.map(function(k){ return k.value}))
        .range(colors);
@serenaf
serenaf commented Jul 11, 2014

Hi there, the heapmap is really beautiful, great work! I just have a question making it dynamic. Is there an easy way to update all cells, for example in our case we need to shift every cell to the left every x seconds (so the outermost left cell vanished). The transition should look smooth and not as if the page refreshes. Thanks for any input :)

@Saeven
Saeven commented Sep 3, 2015

Very cool. Your middle noon label should be 12p and not 12a though! Small nitpick.

@panda24arima

HI there am using your heat map in one of my project and i want to show the value in each box , how can i achieve it ?

@toenuff
toenuff commented Feb 13, 2016

Would you mind applying a license so I can use this?

1) code on the internet - even a sample is not automatically public domain
2) public domain licenses are not allowed by most companies - legal departments do not like them
3) I think what you want is something open and free like the MIT license - https://opensource.org/licenses/MIT

This blog post covers the problem and solutions: http://blog.rtwilson.com/please-specify-a-license-for-your-software-and-even-your-code-samples/

Please - I really like the sample and would like to use it! Thank you!

@curtiszimmerman

Hey just wanted to say THANKS for this great piece of code! We're using it in a hackathon this weekend for our main visualization. :)

@RingoIngo

This is really great! Helps me to visualize my data a lot!!
Still i would like to support @toenuff s petition for a license:)
(MIT would be wonderful)
Thank you

@oridanus

Great one!
Maybe someone can help me?
I want to make the columns and rows dynamic. If, let's say, I don't have Sunday on the CSV, it won't show the row for Sunday. same with hours - if one hour doesn't have a value, don't show it.
It will be better to take the columns and rows titles from the CSV itself, and not hardcoded ( days = ["Mo", "Tu", "We", "Th", "Fr", "Sa", "Su"] ).

I will really appreciate any help to get this great heatmap usable in my case.

Thanks!

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