Develop Reference

d3 chart won't centre in UIkit framework

I have designed a chart using d3.js and have embedded it in a div within a UIkit framework, however I can't get it to centre within the div.
I have tried putting the svg in a container and adjusting the CSS by putting the svg in a flexbox, removing the margins, aligning it centre, but none of it works. I have tried this response, this one, this one and this one and none of them work. I'm sure it must be something simple - how can I get it to centre? Code below.
Chart
<div id="age_chart" class="uk-container uk-width-medium-1-2 uk-container-center uk-margin-top">
<script>
// chart based on this example: https://bl.ocks.org/63anp3ca/6bafeb64181d87750dbdba78f8678715
// var svg1 = d3.select("svg1"),
var margin = {top: 20, right: 20, bottom: 100, left: 20},
width1 = d3.select("#age_chart").node().getBoundingClientRect().width,
height1 = 400 - margin.top - margin.bottom;
// g = svg1.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// The scale spacing the groups:
var x0 = d3.scaleBand()
.rangeRound([0, width1])
.paddingInner(0.05);
// The scale for spacing each group's bar:
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height1, 0]);
var z = d3.scaleOrdinal()
.range(["#2c7fb8", "#7fcdbb"]);
var svg1 = d3.select('body').append("svg")
.attr("width", width1 + margin.left + margin.right)
.attr("height", height1 + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.csv("data/age_distribution.csv", function(d, i, columns) {
for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = +d[columns[i]];
return d;
}).then(function(data) {
console.log(data);
var keys = data.columns.slice(1);
console.log('keys');
console.log(keys);
x0.domain(data.map(function(d) { return d.age; }));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) { return d3.max(keys, function(key) { return d[key]; }); })]).nice();
svg1.append("g")
.selectAll("g")
.data(data)
.enter().append("g")
.attr("class","bar")
.attr("transform", function(d) { return "translate(" + x0(d.age) + ",0)"; })
.selectAll("rect")
.data(function(d) { return keys.map(function(key) { return {key: key, value: d[key]}; }); })
.enter().append("rect")
.attr("x", function(d) { return x1(d.key); })
.attr("y", function(d) { return y(d.value); })
.attr("width", x1.bandwidth())
.attr("height", function(d) { return height1 - y(d.value); })
.attr("fill", function(d) { return z(d.key); });
svg1.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height1 + ")")
.call(d3.axisBottom(x0));
svg1.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-size", 11)
.attr("text-anchor", "start")
.text("Percentage of population")
.attr("font-family", "Archivo");
var legend1 = svg1.append("g")
.attr("font-family", "inherit")
.attr("font-size", 11)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend1.append("rect")
.attr("x", width1 * .9)
.attr("width", 15)
.attr("height", 15)
.attr("fill", z)
.attr("stroke", z)
.attr("stroke-width",2)
.on("click",function(d) { update(d) });
legend1.append("text")
.attr("x", width1 * .85)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
var filtered = [];
////
//// Update and transition on click:
////
function update(d) {
//
// Update the array to filter the chart by:
//
// add the clicked key if not included:
if (filtered.indexOf(d) == -1) {
filtered.push(d);
// if all bars are un-checked, reset:
if(filtered.length == keys.length) filtered = [];
}
// otherwise remove it:
else {
filtered.splice(filtered.indexOf(d), 1);
}
//
// Update the scales for each group's items:
//
var newKeys = [];
keys.forEach(function(d) {
if (filtered.indexOf(d) == -1 ) {
newKeys.push(d);
}
})
x1.domain(newKeys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) { return d3.max(keys, function(key) { if (filtered.indexOf(key) == -1) return d[key]; }); })]).nice();
// update the y axis:
svg1.select(".y")
.transition()
.call(d3.axisLeft(y).ticks(null, "s"))
.duration(500);
//
// Filter out the bands that need to be hidden:
//
var bars = svg1.selectAll(".bar").selectAll("rect")
.data(function(d) { return keys.map(function(key) { return {key: key, value: d[key]}; }); })
bars.filter(function(d) {
return filtered.indexOf(d.key) > -1;
})
.transition()
.attr("x", function(d) {
return (+d3.select(this).attr("x")) + (+d3.select(this).attr("width"))/2;
})
.attr("height",0)
.attr("width",0)
.attr("y", function(d) { return height1; })
.duration(500);
//
// Adjust the remaining bars:
//
bars.filter(function(d) {
return filtered.indexOf(d.key) == -1;
})
.transition()
.attr("x", function(d) { return x1(d.key); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height1 - y(d.value); })
.attr("width", x1.bandwidth())
.attr("fill", function(d) { return z(d.key); })
.duration(500);
// update legend:
legend1.selectAll("rect")
.transition()
.attr("fill",function(d) {
if (filtered.length) {
if (filtered.indexOf(d) == -1) {
return z(d);
}
else {
return "white";
}
}
else {
return z(d);
}
})
.duration(100);
}
});
</script>
</div>

The problem is that the SVG isn't in your div.
The position of a script element doesn't decide where the SVG will get appended on the page. If you put it at the bottom of the page, you'll get the same results - you need to do so to wait for the DOM to be fully loaded.
d3.select('body').append("svg") will append the svg directly on the body element. To append it to the element you've created, since it has id age_chart, use:
d3.select('#age_chart').append("svg")

Accessing data properties for d3 v4 stacked bar chart

I have been working on creating a stacked bar chart using d3 v4 but with a JSON file input. This question is a continuation of a past question:Converting data structure of a JSON array for stacked bar chart.
My data array consists of numerous objects (each object is a hospital and has values such as the count of males, females, and categories).
Based from this, how can I access the individual properties of my data array and populate it accordingly? This means that when I hover over a certain bar, the gender type, count, percentage, and categories change.
**EDIT: I changed my post to show a better understanding about my data structure. Also, I do not think the provided link doesn't solve my problem that I have. I did used that method and it didn't work.
**EDIT2: Added more of my JavaScript code
The data structure is in a JSON format (An array of objects) looks like:
[{
"hospitalName": "hospital1",
"Diseases of the Circulatory System": 1,
"Diseases of the Digestive System": 1,
"Diseases of the Nervous System & Sense Organs": 2,
"Diseases of the Respiratory System": 1,
"Infectious and Parasitic Diseases": 278,
"Injury and Poisoning": 9,
"Mental Disorders": 4,
"Neoplasms": 4,
"No Diagnosis Code in Medical Record": 10,
"Perinatal Period Conditions": 1,
"Females": 223,
"Males": 88,
"Unknown": 0,
"count": 311
},
{
"hospitalName": "hospital2",
"No Diagnosis Code in Medical Record": 1,
"Females": 0,
"Males": 1,
"Unknown": 0,
"count": 1
},
{
"hospitalName": "hospital3",
"Neoplasms": 5,
"Females": 0,
"Males": 2,
"Unknown": 3,
"count": 5
}]
This is my current stacked bar chart.
The output of the tooltip would look something like this:
*My JavaScript code:
var svg = d3.select("svg"),
margin = { top: 20, right: 20, bottom: 120, left: 40 },
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.scaleBand()
.rangeRound([0, width])
.paddingInner(0.15)
.align(0.1);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#a95e65", "#5eaaa2", "#6b486b"]);
d3.json("hospitals2.json", function(error, data) {
if (error) throw error;
var newData = {};
data.forEach(element => {
var name = element.hospitalName;
var hospital = newData[name];
if (!hospital) {
hospital = { hospitalName: name, Females: 0, Males: 0, Unknown: 0, count: 0 };
newData[name] = hospital;
}
hospital[element.category] = +element.count;
hospital.Females += +element.Females;
hospital.Males += +element.Males;
hospital.Unknown += +element.Unknown;
hospital.count += +element.count;
});
data = [];
for (const key in newData) {
if (newData.hasOwnProperty(key)) {
data.push(newData[key]);
}
}
console.log(data);
var columns = d3.keys(data[0]);
var keys = columns.slice(1, 4);
console.log(keys);
data.sort(function(a, b) { return b.total - a.total; });
x.domain(data.map(function(d, i) { return i; }));
y.domain([0, d3.max(data, function(d) { return d.count; })]).nice();
z.domain(keys);
g.append("g")
.selectAll("g")
.data(d3.stack().keys(keys)(data))
.enter().append("g")
.attr("fill", function(d) { return z(d.key); })
.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d, i) { return x(i); })
.attr("y", function(d) { return y(d[1]); })
.attr("height", function(d) { return y(d[0]) - y(d[1]); })
.attr("width", x.bandwidth())
.on("mousemove", function(d) {
var xPosition = d3.mouse(this)[0] - 60;
var yPosition = d3.mouse(this)[1] - 60;
tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
tooltip.select(".count").html("Count: " + (d[1] - d[0]) + "<br>")
tooltip.select(".percent").html("(" + (Math.round((d[1] - d[0]) / d.data.count * 100)) + "%" + ")")
})
.on("mouseover", function() {
tooltip.style("display", "inline");
})
.on("mouseout", function() {
tooltip.style("display", "none");
});
g.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).tickFormat(function(d, i) { return data[i].MTFID }))
.selectAll("text")
.attr("x", -11)
.attr("y", 7)
.attr("dy", ".35em")
.attr("transform", "rotate(290)")
.style("text-anchor", "end");
g.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(y).ticks(null, "s"))
//.call(d3.axisLeft(y).tickFormat(d => Math.round(d * 100 / d3.max(data, function(d) { return d.count })) + "%"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-family", "Montserrat, sans-serif")
.attr("font-size", "13px")
.attr("text-anchor", "start")
.text("Population");
var legend = g.append("g")
.attr("class", "legend")
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
var tooltip = svg.append("g")
.attr("class", "tooltip")
.style("display", "none");
tooltip.append("rect")
.attr("width", 100)
.attr("height", 105)
.attr("fill", "#DCDCDC")
tooltip.append("text")
.attr("class", "count")
.attr("x", 50)
.attr("dy", "1.2em")
.style("text-anchor", "middle")
tooltip.append("text")
.attr("class", "percent")
.attr("x", 50)
.attr("dy", "2em")
.style("text-anchor", "middle")
tooltip.append("text")
.attr("class", "category")
});

Stacked bar graph in D3 using internal JSON variable

So trying to create a stacked bar graph in D3.js. I have got the axes working, but the graph data isn't showing, any ideas where I'm going wrong?
JS:
var svg = d3.select("#recovery__table"),
margin = {top: 20, right: 20, bottom: 30, left: 40},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
aspect = width/height,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x = d3.scaleBand()
.rangeRound([0, width])
.padding(0.1)
.align(0.1);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#717C8B", "#7FDDC3", "#39B3CD"]);
var stack = d3.stack();
data.forEach(function(d) {
d.year = d['trades.closed_half_year_year'];
d.loss = d['loss'];
d.recovered = d['recovered'];
d.recovery = d['in_recovery'];
d.total = d.loss + d.recovery + d.recovered;
});
var div = d3.select("body").append("div")
.attr("class", "tooltip3")
.style("opacity", "0");
x.domain(data.map(function(d) { return d.year; }));
y.domain([0, d3.max(data, function(d) { return d.total; })]).nice();
z.domain(d3.keys(data[0]).filter(function(key){ return key == 'loss' && key == 'recovered' && key == 'in_recovery' }));
g.selectAll(".serie")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("fill", function(d){ return z(d.keys); })
.attr("x", function(d) { return x(d.year); })
.attr("width", x.bandwidth())
.attr("y", function(d) { return y(d.total); })
.attr("height", function(d) { return y[0] - y[1]; })
.on("mouseover", function(d) {
var value = parseInt($(this).attr('data-value'));
div.transition()
.duration(200)
.style("opacity", .5);
div.html(d.data.year + "<br/>£" + total.formatMoney())
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
div.transition()
.duration(500)
.style("opacity", 0);
});
;
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.attr('x', 20)
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y).ticks(5, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks(10).pop()))
.attr("dy", "0.35em")
.attr("text-anchor", "start")
.attr("fill", "#000");
var legend = g.selectAll(".legend")
.data(data)
.enter().append("g")
.attr('width', 100)
.attr("class", "legend")
.attr('transform', function(d, i) {
var horz = 100*i; // NEW
var vert = 0;
if (horz >= width) {
horz = 100 * (i - 3);
vert = 40;
}
return 'translate(' + horz + ',' + vert + ')'; // NEW
})
.style("font", "10px sans-serif");
legend.append("rect")
.attr("x", "33%")
.attr("width", 18)
.attr("height", 18)
.attr("fill", z);
legend.append("text")
.attr("x", "43%")
.attr("y", 9)
.attr("dy", ".35em")
.attr("text-anchor", "end")
.text(function(d) { return d; });
JSON example
[{"trades.closed_half_year_year":"2017","auctioncollectioninfos.total_advanced_amount_delinquent_and_collection_completed_gbp_daily":"£0.00","auctioncollectioninfos.total_crystallized_loss_gbp_daily":"£0.00","auctioncollectioninfos.total_outstanding_amount_delinquent_gbp_daily":"£","auctioncollectioninfos.total_advanced_amount_delinquent_gbp_daily":"£0.00","loss":"£0.00","recovered":"£0.00","in_recovery":"£0"},
{"trades.closed_half_year_year":"2016","auctioncollectioninfos.total_advanced_amount_delinquent_and_collection_completed_gbp_daily":"£123,456.78","auctioncollectioninfos.total_crystallized_loss_gbp_daily":"£0.00","auctioncollectioninfos.total_outstanding_amount_delinquent_gbp_daily":"£1,234,234","auctioncollectioninfos.total_advanced_amount_delinquent_gbp_daily":"£1,321,245.56","loss":"£0.00","recovered":"£457,468.31","in_recovery":"£1,890,567"},
{"trades.closed_half_year_year":"2015","auctioncollectioninfos.total_advanced_amount_delinquent_and_collection_completed_gbp_daily":"£3,345,768.54","auctioncollectioninfos.total_crystallized_loss_gbp_daily":"£555,555.08","auctioncollectioninfos.total_outstanding_amount_delinquent_gbp_daily":"£321,321","auctioncollectioninfos.total_advanced_amount_delinquent_gbp_daily":"£3,321,321.32","loss":"£456,324.33","recovered":"£2,324,234.345","in_recovery":"£333,333"}]
Essentially, need the loss, recovery and recovered to stack on the graph, but there is no data loading onto the graph as previously mentioned.
Any ideas?

There is a little issue, the data you are using is a JSON thus the object will receive the values as strings, you have to parse them correctly into numbers. An easy way to parse a string to a number is the following:
d.loss = +d['loss'];
But even if we did that we would still have problems with your data. Why? Because some of the numbers in your dataset are formatted:
"loss":"£456,324.33"
so if you are trying to do something like this:
d.total = d.loss + d.in_recovery + d.recovered;
You will get an invalid value because we may be issuing an operation like the following:
d.total = "£456,324.33" + 0 + "£4,324.33" // "£456,324.330£4,324.33"
This will screw the scales in our chart.
y.domain([0, d3.max(data, function(d) {
return d.total;
})]).nice(); // spooky domain here :S
Lets take care of the formatting of your values (assuming values are always formatted the way presented in the JSON you provided):
data.forEach(function(d) {
d.year = +d['trades.closed_half_year_year'];
d.loss = typeof d.loss === 'number' ? d.loss : +d['loss'].replace(/£|,/g, '')
d.recovered = typeof d.recovered === 'number' ? d.recovered : +d['recovered'].replace(/£|,/g, '');
d.in_recovery = typeof d.in_recovery === 'number' ? d.in_recovery : +d['in_recovery'].replace(/£|,/g, '');
d.total = d.loss + d.in_recovery + d.recovered;
});
Now that we have a correct dataset we should be ready to start using d3 and the stack layout:
var keys = ['loss', 'recovered', 'in_recovery']; // Declare the keys we will want in our stack
z.domain(keys); // Set them as our z domain so we can retrieve our fill color
var stackLayout = d3.stack().keys(keys)(data); // Create our stack layout
Which will create the following structure:
[
[
[
0,
0
],
[
0,
0
],
[
0,
456324.33
]
// key: loss
],
[
[
0,
0
],
[
0,
457468.31
],
[
456324.33,
2780558.6750000003
]
// key: recovered
],
[
[
0,
0
],
[
457468.31,
2348035.31
],
[
2780558.6750000003,
3113891.6750000003
]
// key: in_recovery
]
]
With the structure above we now can create our bars by key-block, as you can see each array has three values and a key. We will need to create a group element for each array element:
g.selectAll(".serie")
.data(stackLayout) // Set stack layout as data
.enter()
.append("g") // Creating group for each key
.attr("fill", function(d) { return z(d.key); }) // Fill inner elements with the color provided by our z Scale
.selectAll("rect")
.data(function(d) { // Use the inner array to create our rects
return d;
})
.enter().append("rect")
.attr("x", function(d) { // Position by our x Scale
return x(d.data.year);
})
.attr("y", function(d) { // Position by our y Scale
return y(d[1]);
})
.attr("height", function(d) { // Find the height value by using the values provided in the inner arrays
return y(d[0]) - y(d[1]);
})
.attr("width", x.bandwidth());
We also have to change a little the labels:
var legend = g.selectAll(".legend")
.data(keys.reverse()) // Use our keys
.enter().append("g")
.attr("class", "legend")
.attr('transform', function(d, i) {
var horz = width - margin.right - (100 * i); // NEW
var vert = 0;
return 'translate(' + horz + ',' + vert + ')'; // NEW
})
.style("font", "10px sans-serif");
legend.append("text")
.attr("x", "-5")
.attr("y", 9)
.attr("dy", ".35em")
.attr("text-anchor", "end")
.text(function(d) {
return d;
});
Working plnkr: https://plnkr.co/edit/eTKsOz8jlaqm1Mf3Esej?p=preview

Day hour Heatmap - Colors not showing

This is my code for a d3.js heatmap chart and the problem is with colors. Took the code from http://bl.ocks.org/tjdecke/5558084 and modified it for reading from a php, which echo data in json format.
so after modifying it, I am getting a heatmap with all grids in black colors with some white gaps.
I am new to d3 charts, kindly excuse in case of any minor mistakes you find in code.
enter image description here
<!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>
<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 = ["data1.tsv", "data2.tsv"];
d3.json("heatmaptry2.php", function(error, data) {
data.forEach(function(d) {
console.log(d);
day= +d.day;
hour= +d.hour;
value= +d.value;
});
var colorScale = d3.scale.quantile();
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(-5," + 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 + ", -5)")
.attr("class", function(d, i) { return ((i >= 7 && i <= 16) ? "timeLabel mono axis axis-worktime" : "timeLabel mono axis"); });
var heatMap = svg.selectAll(".hour")
.data(data)
.enter().append("rect")
.attr("x", function(d) { return (d.hour) * gridSize; })
.attr("y", function(d) { return (d.day ) * gridSize; })
.attr("rx", 4)
.attr("ry", 4)
.attr("class", "hour bordered")
.attr("width", gridSize)
.attr("height", gridSize)
.style("fill", colors[0]);
heatMap.transition().duration(1000)
.style("fill", function(d) { return colorScale(d.value); });
heatMap.append("title").text(function(d) { return d.value; });
heatMap.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();
});
</script>
</body>
</html>

Instead of this:
var colorScale = d3.scale.quantile();
it should have been (you are not setting the domain)
var colorScale = d3.scale.quantile()
.domain([0, buckets - 1, d3.max(data, function (d) { return d.value; })])
.range(colors);
working code here

D3 Only Loading One Cell of Data

I have a http.server running on my 8888 port using python.
I am attempting to a load tsv file into the Day/Hour Heatmap:
[a link]http://bl.ocks.org/tjdecke/5558084#data.tsv
Note that both the data.tsv file and the code
The output below is what I'm seeing in my Chrome browser when navigating to the appropriate file. It is not loading the full amount of data.
(this is admittedly my first pass using D3)
<!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>
<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"];
d3.tsv("data.csv",
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 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 heatMap = svg.selectAll(".hour")
.data(data)
.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]);
heatMap.transition().duration(1000)
.style("fill", function(d) { return colorScale(d.value); });
heatMap.append("title").text(function(d) { return d.value; });
var legend = svg.selectAll(".legend")
.data([0].concat(colorScale.quantiles()), function(d) { return d; })
.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);
});
</script>
</body>
</html>

The code looks right and since its exactly the way it is shown in the example, the problem might be with your data file.
Getting data only in the first grid means your x and y values are not getting properly rendered.
.attr("x", function(d) { return (d.hour - 1) * gridSize; })
.attr("y", function(d) { return (d.day - 1) * gridSize; })
Are the names day and hour correctly written? (even caps creates problem - something like Day and Hour instead of day and hour)
Hope this helps.