This post describes how to turn the
barplot
horizontal with d3.js. This can be handy when you have long labels.
Note that you could consider building
lollipop plot as well. This example
works with d3.js v4 and v6
div that will be modified by d3 later on.
svg area. It specify the chart size and its
margin. Read more.
<!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: 20, right: 30, bottom: 40, left: 90},
width = 460 - margin.left - margin.right,
height = 400 - 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))
//Bars
svg.selectAll("myRect")
.data(data)
.enter()
.append("rect")
.attr("x", x(0) )
.attr("y", function(d) { return y(d.Country); })
.attr("width", function(d) { return x(d.Value); })
.attr("height", y.bandwidth() )
.attr("fill", "#69b3a2")
// .attr("x", function(d) { return x(d.Country); })
// .attr("y", function(d) { return y(d.Value); })
// .attr("width", x.bandwidth())
// .attr("height", function(d) { return height - y(d.Value); })
// .attr("fill", "#69b3a2")
})
</script> <script>
// set the dimensions and margins of the graph
const margin = {top: 20, right: 30, bottom: 40, left: 90},
width = 460 - margin.left - margin.right,
height = 400 - 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(d => d.Country))
.padding(.1);
svg.append("g")
.call(d3.axisLeft(y))
//Bars
svg.selectAll("myRect")
.data(data)
.join("rect")
.attr("x", x(0) )
.attr("y", d => y(d.Country))
.attr("width", d => x(d.Value))
.attr("height", y.bandwidth())
.attr("fill", "#69b3a2")
})
</script>