This post describes how to reorder groups in your lollipop chart with d3.js. Indeed, reordering gives much more insight to your chart as stated here. Note that your probably interested in this post about the basics of lollipop plot. This example works with d3.js v4 and v6
.sort function on data, right after the d3.csv call.<!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) {
// sort data
data.sort(function(b, a) {
return a.Value - b.Value;
});
// 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", "7")
.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) {
// sort data
data.sort(function(b, a) {
return a.Value - b.Value;
});
// 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)
.join("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)
.join("circle")
.attr("cx", function(d) { return x(d.Value); })
.attr("cy", function(d) { return y(d.Country); })
.attr("r", "7")
.style("fill", "#69b3a2")
.attr("stroke", "black")
})
</script>