I have been trying to add labels to my bar chart as described in this question:
Adding label on a D3 bar chart
However, I can get the labels to display, but not over the appropriate bar (they are all lined up over/ on the first bar). Any help would be greatly appreciated. Here is my code:
var cdata = { title: "Sample Chart", Pod: 10, WOSNF : 201.57, SNFW: 8.89, YTDTarget: 15.14, AnnualTarget: 22.10, Max: 250 }
var margin = {top: 20, right: 20, bottom: 70, left: 40},
width = 500 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// Parse the categories
var x = d3.scale.ordinal().rangeRoundBands([0, width], .05);
var y = d3.scale.linear().range([height, 30]);
y.domain([0, 30]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(10);
var svg = d3.select("body").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 + ")");
d3.csv("data2.csv", function(error, data) {
data.forEach(function(d) {
d.value = +d.value;
console.log(d.value);
});
x.domain(data.map(function(d) { return d.Category; }));
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.style("text-anchor", "end")
.attr("x", width/2)
.attr("y", 30)
.attr("dx", ".71em")
.attr("transform", "translate(40,20)" )
;
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "translate(" + (width / 2) + ",-25)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "middle")
.style("font-size", "14pt")
.text("Sample Chart");
svg.selectAll("bar")
.data(data)
.enter().append("rect")
.style("fill", "steelblue")
.style("fill-opacity", "0.5")
.attr("x", function(d) { return x(d.Category); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.value) - 1;})
.attr("height", function(d) { return height - y(d.value);})
var yTextPadding = 20;
svg.selectAll("bartext")
.data(data)
.enter().append("text")
.attr("class", "bartext")
.attr("text-anchor", "middle")
.attr("fill", "black")
.attr("x", function(d, i) {
return x.rangeBand()/2;
})
.attr("y", function(d) {
return y(d.value);
})
.text(function(d){
return d.value;
});
});
var G3 = svg.append("g")
G3.append("line")
.attr("y1", y(cdata["YTDTarget"])-1)
.attr("y2", y(cdata["YTDTarget"])-1)
.attr("x1", 0)
.attr("x2", 500)
.attr("stroke-width", 2)
.attr("stroke", "black");
G3.append("text")
.attr("x",10)
.attr("y", y(cdata["YTDTarget"])+10)
.style("fill", "black")
.style("text-anchor", "start")
.text("RU YTD Target - " + cdata["YTDTarget"]);
var G4 = svg.append("g")
G4.append("line")
.attr("y1", y(cdata["AnnualTarget"])-1)
.attr("y2", y(cdata["AnnualTarget"])-1)
.attr("x1", 0)
.attr("x2", 500)
.attr("stroke-width", 2)
.attr("stroke", "black");
G4.append("text")
.attr("x", 10)
.attr("y", y(cdata["AnnualTarget"])+10)
.style("fill", "black")
.style("text-anchor", "start")
.text("RU Annual Target - " + cdata["AnnualTarget"]);
And here is the data:
Category,value
"Group1",27.2
"Group2",24.6
"Group3",27.1
The elements following the parsing of the data are to draw lines across the graph for reference.
Thanks!
You're currently setting the x position of the labels to half the width of the first bar (so they all end up on the left.
You want the x position of the bartext to start at the same spot as the current bar and add half the width of the bar:
.attr("x", function(d, i) {
return x(d.Category) + (x.rangeBand() / 2);
})
Related
The following code in d3js is supposed to draw a bar chart. It draws the axis and adds the labels to them. But it doesn't draw the bars. My guess is it can't find the svg.selectAll(".bar") but I don't know how I should fix it.
P.S. I was following this tutorial: https://github.com/colorfest/d3js/blob/master/js/bargraph/bargraph.js
function drawBarchart(geography){
var x_labels = ["Very Good", "Good", "Fair", "Poor", "Mentioned", "Not Mentioned"];
var margin = {top: 20, right: 20, bottom: 100, left: 60},
width = 800 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
x = d3.scale.ordinal().rangeRoundBands([0,width], 0.5),
y = d3.scale.linear().range([height,0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5)
var svg = d3.select("#barchart")
.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 + ")");
d3.json("data.json", function (data)
{
x.domain(x_labels.map(function (l)
{
return l;
}));
y.domain([0,300]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0, " + height + ")")
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-0.5em")
.attr("dy", "-.55em")
.attr("y", 30)
.attr("transform", "rotate(-45)" );
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 5)
.attr("dy", "0.8em")
.attr("text-anchor", "end")
.text("Score");
svg.selectAll(".bar")
.data(data[6][geography.id])
.enter()
.append("rect")
.style("fill", "orange")
.attr("x", function(d)
{
return x(d.name);
})
.attr("width", x.rangeBand())
.attr("y", function (d)
{
return y(d["Health"][0]);
})
.attr("height", function (d)
{
return height;
});
}
I updated part of you code block. You were correct with it no finding .bar as the rects were not given the bar class.
svg.selectAll(".bar")
.data(data[6][geography.id])
.enter()
.append("rect")
.attr("class", "bar")
.style("fill", "orange")
.attr("x", function(d)
{
return x(d.name);
})
.attr("width", x.rangeBand())
.attr("y", function (d)
{
return y(d["Health"][0]);
})
.attr("height", function (d)
{
return height;
});
}
I have created a stacked bar chart which works fine but I wanted to filter out the bars which are of very small length so that the chart looks good. Here is my code:-
<!DOCTYPE html>
<style>
.axis .domain {
}
</style>
<svg width="3000" height="700"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 200, left: 60},
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, 700])
.paddingInner(0.55)
.align(0.5);
var y = d3.scaleLinear()
.rangeRound([height,0]);
var z = d3.scaleOrdinal()
.range(["pink","purple"]);
//.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
d3.csv("pivot2.csv", function(d, i, columns) {
for (i = 1, t = 0; i < columns.length; ++i)
t += d[columns[i]] = +d[columns[i]];
d.total = t;
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1);
data.sort(function(a, b) { return b.total - a.total; });
x.domain(data.map(function(d) { if(d.total>2000){return d.Name;} }));
y.domain([0, d3.max(data, function(d) { return d.total; })]).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("x", function(d) { return x(d.data.Name); })
.attr("y", function(d) { return y(d[1]) ; })
.attr("height",0)
.transition()
.duration(50)
.delay(function (d, i) { return i*100; })
.attr("height", function(d) { return y(d[0]) - y(d[1]); })
.attr("width",20)
//.attr("width", x.bandwidth())
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).ticks(1))
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", "rotate(-65)");
//.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.2)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
//.text("Duration");
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.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",1500)
//.attr("x", width - 20)
.attr("width", 19)
.attr("height",0)
.transition()
.duration(200)
.delay(function (d, i) { return i*50; })
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x",1490)
.attr("font-size","20px")
//.attr("x", width - 30)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
});
svg.append("text")
.attr("transform",
"translate(" + (width/2) + " ," +
(height + margin.top + 200) + ")")
.style("text-anchor", "middle")
.style("font-size","28px")
.style("fill","green")
.text("Customer Name");
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y",-5)
.attr("x",-200)
//.attr("y", 0 - margin.left)
//.attr("x",0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.style("fill","green")
.style("font-size","28px")
.text("Machine Duration By Mode");
</script>
As you can see I have applied an "IF" condition
data.sort(function(a, b) { return b.total - a.total; });
x.domain(data.map(function(d) { if(d.total>2000){return d.Name;} }));
y.domain([0, d3.max(data, function(d) { return d.total; })]).nice();
z.domain(keys);
But the problem is that all the remaining rectangles are being appended in the bottom left corner above the "Locust Valley Central School District" as you can see in the screenshot I have provided. Please help me to remove these extra rectangles.Screenshot for extra rectangles in the stacked bar chart
Map function here:
data.map(function(d) { if(d.total>2000){return d.Name;} })
Doesn't actually change data array, it returns a new array instead, which is used to initialize x.domain only.
Then you use unchanged data to create rectangles:
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")
And it creates redundant rectangles with empty x coordinate. To fix this, you need to filter your data first:
data = data.filter(function(d) {
if (d.total > 2000) {
return true
}
})
And then use it to set x.domain (without any conditions here):
x.domain(data.map(function(d) { return d.Name }))
The rest of the code remains the same.
I have a bar chart that updates based on the results selected in a drop-down menu. When I change the selcetion, I get negaitve "y" values. It seems that my domain does not get updated with the new data. When I hard code the domain, my "y" are what I expect them to be. Anyone knows why ? Any other other comments (formatting, etc) welcomed.
var new_data;
//Create SVG margins and patting for the interior
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 600 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
//Create Scale
var xScale = d3
.scale
.ordinal()
.rangeRoundBands([margin.left, width], .1);
;
var yScale = d3
.scale
.linear()
.range([height, 0])
;
var xAxis = d3
.svg
.axis()
.scale(xScale)
.orient("bottom")
.tickPadding([5])
;
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left")
.ticks(10)
;
//Create SVG with the above specs
var svg = d3.select("#container")
.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 + ")")
;
svg
.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
;
svg
.append("g")
.attr("class", "y axis")
.append("text") // just for the title (ticks are automatic)
.attr("transform", "rotate(-90)") // rotate the text!
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("frequency")
;
var temp = svg
.append("g")
.attr("class", "domx")
;
d3.csv("data3.csv", function(error, csv_data) {
// Filter the dataset to only get dept_1
var new_data = csv_data.filter(function(d) {
return d['dept'] == 'dept_1';
});
// function to handle histogram.
function histoGram(new_data){
//Create Scales
xScale
.domain(new_data.map(function(d) {return d.Pos;}))
;
yScale
// .domain([0, d3.max(new_data, function(d) { return d.Value; })])
.domain([0, d3.max(new_data, function(d) { return d.Value; })])
// .domain([0, 20])
;
svg
.select(".x.axis")
.transition()
.duration(1500)
.call(xAxis)
;
svg
.select(".y.axis")
.transition()
.duration(1500)
.call(yAxis)
;
// Data Join
var MyGroups = temp
.selectAll("g")
.data(new_data);
;
var MyGroupsEnter = MyGroups
.enter()
.append("g")
;
//Update
MyGroups
.attr("class", "update")
;
//Enter
MyGroupsEnter
.append("rect")
.attr("class", "enter")
.attr("x", function(d) { return xScale(d.Pos); })
.attr("y", function(d) { return (yScale(d.Value));})
.attr("width", xScale.rangeBand())
.attr("height", function(d) { return (height - yScale(d.Value)); })
.text(function(d) { return d.Value; })
.attr("fill", function(d) {return "rgb(0, 0, 0)";})
.style("fill-opacity", 0.2)
;
MyGroupsEnter
.append("text")
.attr("class", "text")
.text(function(d) { return d.Value; })
.attr("font-family", "sans-serif")
.attr("font-size", "11px")
.attr("fill", "black")
.attr("text-anchor", "middle")
.attr("x", function(d) { return xScale(d.Pos) + xScale.rangeBand()/2; })
.attr("y", function(d) { return yScale(d.Value) - 10; })
;
//Enter + Update
MyGroups
.transition()
.duration(1500)
.select("rect")
.attr("x", function(d) { return xScale(d.Pos); })
.attr("width", xScale.rangeBand())
.attr("y", function(d) { return (yScale(d.Value));})
.attr("height", function(d) { return (height - yScale(d.Value)); })
.text(function(d) { return d.Value; })
.style("fill-opacity", 1) // set the fill opacity
.attr("fill", function(d) {return "rgb(0, 0, " + (d.Value * 30) + ")";})
;
MyGroups
.transition()
.duration(1500)
.select("text")
.attr("class", "text")
.text(function(d) { return d.Value; })
.attr("font-family", "sans-serif")
.attr("font-size", "11px")
.attr("fill", "black")
.attr("text-anchor", "middle")
.attr("x", function(d) { return xScale(d.Pos) + xScale.rangeBand()/2; })
.attr("y", function(d) { return yScale(d.Value) - 8; })
;
MyGroups
.exit()
.transition()
.duration(1500)
.remove()
;
}
histoGram(new_data);
var options = ["dept_1","dept_2","dept_3"];
var dropDown = d3
.select("#sel_button")
.append("select")
.attr("name", "options-list")
.attr("id", "id-name");
var options = dropDown
.selectAll("option")
.data(options)
.enter()
.append("option");
options
.text(function (d) { return d; })
.attr("value", function (d) { return d; });
d3.select("#id-name")
.on("change", function() {
var value = d3.select(this).property("value");
var new_data2 = csv_data.filter(function(d) {
return d['dept'] == value;
});
histoGram(new_data2);
});
});
Here is the data:
dept,Pos,Value
dept_1,d1_p1,1
dept_1,d1_p10,10
dept_1,d1_p11,11
dept_1,d1_p12,12
dept_2,d2_p1,1.5
dept_2,d2_p2,3
dept_2,d2_p3,4.5
dept_2,d2_p4,6
dept_2,d2_p5,7.5
dept_2,d2_p6,9
dept_2,d2_p7,10.5
dept_2,d2_p8,12
dept_2,d2_p9,13.5
dept_2,d2_p10,15
dept_2,d2_p11,16.5
dept_2,d2_p12,17.5
dept_2,d2_p13,18.5
dept_3,d3_p1,5
dept_3,d3_p2,7
dept_3,d3_p3,10
Firgured out what was my problem. I hadn't defined the format of the values. The max function was returning the maximum number out of character values (9). I added the following piece of code prior to the domain function and everything now works fines.
csv_data.forEach(function(d) {
d.dept = d.dept;
d.Pos = d.Pos;
d.Value = +d.Value;
});
I have successfully managed to create a grouped bar chart that displays the various performance stats for soccer players over the course of one season. This data is all loaded from a csv file. I would now like to dynamically change that data whereby when a button is pressed, a new csv file is loaded with the stats corresponding to the next soccer season. I've tried to do this on my own but everytime I try reload the data, the old data as well as the old axis's remain present and the enw data loads ontop of these. It all ends up looking messy. So how do I have the old bars and axises updated in line with the new data? Here is my code:
$(document).ready(function(){
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(".2s"));
var svg = d3.select("body").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 + ")");
d3.csv("SoccerStatsCSV.csv", function(error, data) {
console.log(data);
var playerNames = d3.keys(data[0]).filter(function(key) { return key !== "Attribute"; });
console.log(playerNames);
data.forEach(function(d) {
d.Playerstats = playerNames.map(function(name) { return {name: name, value: +d[name]}; });
console.log(d.Playerstats);
});
x0.domain(data.map(function(d) { return d.Attribute; }));
x1.domain(playerNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.Playerstats, function(d) { return d.value; }); })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Units");
var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.Attribute) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.Playerstats; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(playerNames.slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
//The updating button
d3.select("button")
.on('click',function(){
d3.csv("SoccerStatsCSV2008.csv", function(error, data) {
console.log(data);
var playerNames = d3.keys(data[0]).filter(function(key) { return key !== "Attribute"; });
console.log(playerNames);
data.forEach(function(d) {
d.Playerstats = playerNames.map(function(name) { return {name: name, value: +d[name]}; });
console.log(d.Playerstats);
});
x0.domain(data.map(function(d) { return d.Attribute; }));
x1.domain(playerNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.Playerstats, function(d) { return d.value; }); })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Units");
var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.Attribute) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.Playerstats; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(playerNames.slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
});
});
Problem:
I've got a D3.js scatter plot that has 16 different data sets, but it seems like D3 has only 10 different colours built-in before it repeats. You can see what I mean by clicking that link.
Code:
function updatePlot() {
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.linear()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.category10();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var svg = d3.select("body").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 + ")");
d3.csv("data.csv", function(error, data) {
data.forEach(function(d) {
d.sepalLength = +d.sepalLength;
d.sepalWidth = +d.sepalWidth;
});
x.domain(d3.extent(data, function(d) { return d.sepalWidth; })).nice();
y.domain(d3.extent(data, function(d) { return d.sepalLength; })).nice();
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", -6)
.style("text-anchor", "end")
.text("HPF/LPF Intensity Ratio");
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "label")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("HPF Intensity (relative units)")
svg.selectAll(".dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", function(d) { return x(d.sepalWidth); })
.attr("cy", function(d) { return y(d.sepalLength); })
.style("fill", function(d) { return color(d.species); });
var legend = svg.selectAll(".legend")
.data(color.domain())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
}
(The code is pretty much copy/paste from here with a little customisation in the areas of D3 that I understand)
Thanks!
This part of the docs has the answer: Ordinal-Scales#categorical-colors. Thanks to user and Lars Kotthoff!
Simply replaced category10 with category20.