Change lollipop input data in d3.js

Steps:

First of all, understand how to build a basic barplot.

Add 2 buttons in the html part. When you click the button, a function called update() is triggered.

Read this post for a basic version. Here it's just an adaptation for .csv input format.

<!DOCTYPE html>
<meta charset="utf-8">

<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.js"></script>

<!-- Add 2 buttons -->
<button onclick="update('var1')">Variable 1</button>
<button onclick="update('var2')">Variable 2</button>

<!-- 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>

<!-- Add 2 buttons -->
<button onclick="update('var1')">Variable 1</button>
<button onclick="update('var2')">Variable 2</button>

<!-- 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 + ")");

// Initialize the X axis
var x = d3.scaleBand()
  .range([ 0, width ])
  .padding(1);
var xAxis = svg.append("g")
  .attr("transform", "translate(0," + height + ")")

// Initialize the Y axis
var y = d3.scaleLinear()
  .range([ height, 0]);
var yAxis = svg.append("g")
  .attr("class", "myYaxis")


// A function that create / update the plot for a given variable:
function update(selectedVar) {

  // Parse the Data
  d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/barplot_change_data.csv", function(data) {

    // X axis
    x.domain(data.map(function(d) { return d.group; }))
    xAxis.transition().duration(1000).call(d3.axisBottom(x))

    // Add Y axis
    y.domain([0, d3.max(data, function(d) { return +d[selectedVar] }) ]);
    yAxis.transition().duration(1000).call(d3.axisLeft(y));

    // variable u: map data to existing circle
    var j = svg.selectAll(".myLine")
      .data(data)
    // update lines
    j
      .enter()
      .append("line")
      .attr("class", "myLine")
      .merge(j)
      .transition()
      .duration(1000)
        .attr("x1", function(d) { console.log(x(d.group)) ; return x(d.group); })
        .attr("x2", function(d) { return x(d.group); })
        .attr("y1", y(0))
        .attr("y2", function(d) { return y(d[selectedVar]); })
        .attr("stroke", "grey")


    // variable u: map data to existing circle
    var u = svg.selectAll("circle")
      .data(data)
    // update bars
    u
      .enter()
      .append("circle")
      .merge(u)
      .transition()
      .duration(1000)
        .attr("cx", function(d) { return x(d.group); })
        .attr("cy", function(d) { return y(d[selectedVar]); })
        .attr("r", 8)
        .attr("fill", "#69b3a2");


  })

}

// Initialize plot
update('var1')

</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})`);

// Initialize the X axis
const x = d3.scaleBand()
  .range([ 0, width ])
  .padding(1);
const xAxis = svg.append("g")
  .attr("transform", `translate(0, ${height})`)

// Initialize the Y axis
const y = d3.scaleLinear()
  .range([ height, 0]);
const yAxis = svg.append("g")
  .attr("class", "myYaxis")


// A function that create / update the plot for a given variable:
function update(selectedVar) {

  // Parse the Data
  d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/barplot_change_data.csv").then( function(data) {

    // X axis
    x.domain(data.map(function(d) { return d.group; }))
    xAxis.transition().duration(1000).call(d3.axisBottom(x))

    // Add Y axis
    y.domain([0, d3.max(data, function(d) { return +d[selectedVar] }) ]);
    yAxis.transition().duration(1000).call(d3.axisLeft(y));

    // variable u: map data to existing circle
    const j = svg.selectAll(".myLine")
      .data(data)
    // update lines
    j
      .join("line")
      .attr("class", "myLine")
      .transition()
      .duration(1000)
        .attr("x1", function(d) { return x(d.group); })
        .attr("x2", function(d) { return x(d.group); })
        .attr("y1", y(0))
        .attr("y2", function(d) { return y(d[selectedVar]); })
        .attr("stroke", "grey")


    // variable u: map data to existing circle
    const u = svg.selectAll("circle")
      .data(data)
    // update bars
    u
      .join("circle")
      .transition()
      .duration(1000)
        .attr("cx", function(d) { return x(d.group); })
        .attr("cy", function(d) { return y(d[selectedVar]); })
        .attr("r", 8)
        .attr("fill", "#69b3a2");


  })

}

// Initialize plot
update('var1')
</script>

Change lollipop chart input data with a button

Steps:

Related blocks →