Ordered barplot in d3.js

Steps:

Almost the same as the most basic barplot, but ordered.

Ordering you barchart makes it more readable: the user can spot directly what the ranking is as explained in data to viz.

<!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) {

  // sort data
  data.sort(function(b, a) {
    return a.Value - b.Value;
  });

  // 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) {

  // sort data
  data.sort(function(b, a) {
    return a.Value - b.Value;
  });

  // 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)
    .enter()
    .append("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>

Steps:

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