This post describes how to build a horizontal lollipop chart with d3.js. It follows the previous post about the most basic lollipop chart. The advantage to make it horizontal is that labels get easier to read, as explained in data to viz.com. This example works with d3.js v4 and v6
<!DOCTYPE html>
<meta charset="utf-8">
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.js"></script>
<!-- Create a div where the graph will take place -->
<div id="my_dataviz"></div>
<!DOCTYPE html>
<meta charset="utf-8">
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v6.js"></script>
<!-- Create a div where the graph will take place -->
<div id="my_dataviz"></div>
<script>
// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 40, left: 100},
width = 460 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// append the svg object to the body of the page
var 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 + ")");
// Parse the Data
d3.csv("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/7_OneCatOneNum_header.csv", function(data) {
// Add X axis
var x = d3.scaleLinear()
.domain([0, 13000])
.range([ 0, width]);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x))
.selectAll("text")
.attr("transform", "translate(-10,0)rotate(-45)")
.style("text-anchor", "end");
// Y axis
var y = d3.scaleBand()
.range([ 0, height ])
.domain(data.map(function(d) { return d.Country; }))
.padding(1);
svg.append("g")
.call(d3.axisLeft(y))
// Lines
svg.selectAll("myline")
.data(data)
.enter()
.append("line")
.attr("x1", function(d) { return x(d.Value); })
.attr("x2", x(0))
.attr("y1", function(d) { return y(d.Country); })
.attr("y2", function(d) { return y(d.Country); })
.attr("stroke", "grey")
// Circles
svg.selectAll("mycircle")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) { return x(d.Value); })
.attr("cy", function(d) { return y(d.Country); })
.attr("r", "4")
.style("fill", "#69b3a2")
.attr("stroke", "black")
})
</script> <script>
// set the dimensions and margins of the graph
const margin = {top: 10, right: 30, bottom: 40, left: 100},
width = 460 - margin.left - margin.right,
height = 500 - 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})`);
// Parse the Data
d3.csv("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/7_OneCatOneNum_header.csv").then( function(data) {
// Add X axis
const x = d3.scaleLinear()
.domain([0, 13000])
.range([ 0, width]);
svg.append("g")
.attr("transform", `translate(0, ${height})`)
.call(d3.axisBottom(x))
.selectAll("text")
.attr("transform", "translate(-10,0)rotate(-45)")
.style("text-anchor", "end");
// Y axis
const y = d3.scaleBand()
.range([ 0, height ])
.domain(data.map(function(d) { return d.Country; }))
.padding(1);
svg.append("g")
.call(d3.axisLeft(y))
// Lines
svg.selectAll("myline")
.data(data)
.enter()
.append("line")
.attr("x1", function(d) { return x(d.Value); })
.attr("x2", x(0))
.attr("y1", function(d) { return y(d.Country); })
.attr("y2", function(d) { return y(d.Country); })
.attr("stroke", "grey")
// Circles
svg.selectAll("mycircle")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) { return x(d.Value); })
.attr("cy", function(d) { return y(d.Country); })
.attr("r", "4")
.style("fill", "#69b3a2")
.attr("stroke", "black")
})
</script>