This post describes how to build a very basic
barplot with d3.js. You can see many
other examples in the barplot section of
the gallery. Learn more about the theory of barplot in
data-to-viz.com. 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: 30, right: 30, bottom: 70, left: 60},
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) {
// X axis
var x = d3.scaleBand()
.range([ 0, width ])
.domain(data.map(function(d) { return d.Country; }))
.padding(0.2);
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");
// Add Y axis
var y = d3.scaleLinear()
.domain([0, 13000])
.range([ height, 0]);
svg.append("g")
.call(d3.axisLeft(y));
// Bars
svg.selectAll("mybar")
.data(data)
.enter()
.append("rect")
.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: 30, right: 30, bottom: 70, left: 60},
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) {
// X axis
const x = d3.scaleBand()
.range([ 0, width ])
.domain(data.map(d => d.Country))
.padding(0.2);
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");
// Add Y axis
const y = d3.scaleLinear()
.domain([0, 13000])
.range([ height, 0]);
svg.append("g")
.call(d3.axisLeft(y));
// Bars
svg.selectAll("mybar")
.data(data)
.join("rect")
.attr("x", d => x(d.Country))
.attr("y", d => y(d.Value))
.attr("width", x.bandwidth())
.attr("height", d => height - y(d.Value))
.attr("fill", "#69b3a2")
})
</script>