A few theme templates for d3.js




It is a common and necessary practice in data visualization to personalize the general appearance of your chart. This post takes a basic scatterplot and suggest different themes to display it. These themes are often inspired from existing library in other languages but not only.

Mimicking ggplot2 style in d3.js


Notes:

  • ggplot2 is the most famous R library for data visualization. It is known for this grey background that makes it easy to recognize.

  • Note that a g element can not receive any style. Thus, a rectangle must be drawn on the chart area with a grey fill.

  • An axis is a path element of class domain with g elements of class tick. This allow customization modifying the css of these classes. 
<!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>


<script>

// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 40, left: 50},
    width = 520 - margin.left - margin.right,
    height = 520 - 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 + ")")

// Add the grey background that makes ggplot2 famous
svg
  .append("rect")
    .attr("x",0)
    .attr("y",0)
    .attr("height", height)
    .attr("width", height)
    .style("fill", "EBEBEB")

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

  // Add X axis
  var x = d3.scaleLinear()
    .domain([4*0.95, 8*1.001])
    .range([ 0, width ])
  svg.append("g")
    .attr("transform", "translate(0," + height + ")")
    .call(d3.axisBottom(x).tickSize(-height*1.3).ticks(10))
    .select(".domain").remove()

  // Add Y axis
  var y = d3.scaleLinear()
    .domain([-0.001, 9*1.01])
    .range([ height, 0])
    .nice()
  svg.append("g")
    .call(d3.axisLeft(y).tickSize(-width*1.3).ticks(7))
    .select(".domain").remove()

  // Customization
  svg.selectAll(".tick line").attr("stroke", "white")

  // Add X axis label:
  svg.append("text")
      .attr("text-anchor", "end")
      .attr("x", width/2 + margin.left)
      .attr("y", height + margin.top + 20)
      .text("Sepal Length");

  // Y axis label:
  svg.append("text")
      .attr("text-anchor", "end")
      .attr("transform", "rotate(-90)")
      .attr("y", -margin.left + 20)
      .attr("x", -margin.top - height/2 + 20)
      .text("Petal Length")

  // Color scale: give me a specie name, I return a color
  var color = d3.scaleOrdinal()
    .domain(["setosa", "versicolor", "virginica" ])
    .range([ "#F8766D", "#00BA38", "#619CFF"])

  // Add dots
  svg.append('g')
    .selectAll("dot")
    .data(data)
    .enter()
    .append("circle")
      .attr("cx", function (d) { return x(d.Sepal_Length); } )
      .attr("cy", function (d) { return y(d.Petal_Length); } )
      .attr("r", 5)
      .style("fill", function (d) { return color(d.Species) } )

})

</script>

Mimicking the ipsum style of the hrbrmstr R library in d3.js


Notes:

  • The hrbrmstr library is widely used in R, notably for its ipsum theme that you can see in action in data-to-viz.com.

  • Background is wide but a light grey grid is conserved. Axis names are at the extremity of the chart 
<!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_dataviz2"></div>


<script>

// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 40, left: 50},
    width = 520 - margin.left - margin.right,
    height = 520 - margin.top - margin.bottom;

// append the svg object to the body of the page
var Svg = d3.select("#my_dataviz2")
  .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 + ")")



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

  // Add X axis
  var x = d3.scaleLinear()
    .domain([4*0.95, 8*1.001])
    .range([ 0, width ])
  Svg.append("g")
    .attr("transform", "translate(0," + height + ")")
    .call(d3.axisBottom(x).tickSize(-height*1.3).ticks(10))
    .select(".domain").remove()

  // Add Y axis
  var y = d3.scaleLinear()
    .domain([-0.001, 9*1.01])
    .range([ height, 0])
    .nice()
  Svg.append("g")
    .call(d3.axisLeft(y).tickSize(-width*1.3).ticks(7))
    .select(".domain").remove()

  // Customization
  Svg.selectAll(".tick line").attr("stroke", "#EBEBEB")

  // Add X axis label:
  Svg.append("text")
      .attr("text-anchor", "end")
      .attr("x", width)
      .attr("y", height + margin.top + 20)
      .text("Sepal Length");

  // Y axis label:
  Svg.append("text")
      .attr("text-anchor", "end")
      .attr("transform", "rotate(-90)")
      .attr("y", -margin.left+20)
      .attr("x", -margin.top)
      .text("Petal Length")

  // Color scale: give me a specie name, I return a color
  var color = d3.scaleOrdinal()
    .domain(["setosa", "versicolor", "virginica" ])
    .range([ "#402D54", "#D18975", "#8FD175"])

  // Add dots
  Svg.append('g')
    .selectAll("dot")
    .data(data)
    .enter()
    .append("circle")
      .attr("cx", function (d) { return x(d.Sepal_Length); } )
      .attr("cy", function (d) { return y(d.Petal_Length); } )
      .attr("r", 5)
      .style("fill", function (d) { return color(d.Species) } )

})

</script>

Old school publication style in d3.js


Notes:

  • A black and white old school template. Looks like the good old base R.

  • It shows how to custom the symbols used on the chart. A list of available symbols are here. 
<!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_dataviz3"></div>


<script>

// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 40, left: 50},
    width = 520 - margin.left - margin.right,
    height = 520 - margin.top - margin.bottom;

// append the SVg object to the body of the page
var SVg = d3.select("#my_dataviz3")
  .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 + ")")

// Add the black box around the chart
SVg
  .append("rect")
    .attr("x",0)
    .attr("y",0)
    .attr("height", height)
    .attr("width", height)
    .style("fill", "none")
    .style("stroke", "black")

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

  // Add X axis
  var x = d3.scaleLinear()
    .domain([4, 8])
    .range([ 0, width ])
  SVg.append("g")
    .attr("transform", "translate(0," + height + ")")
    .call(d3.axisBottom(x))

  // Add Y axis
  var y = d3.scaleLinear()
    .domain([0, 8])
    .range([ height, 0])
    .nice()
  SVg.append("g")
    .call(d3.axisLeft(y))

  // Add X axis label:
  SVg.append("text")
      .attr("text-anchor", "end")
      .attr("x", width)
      .attr("y", height + margin.top + 20)
      .text("Sepal Length");

  // Y axis label:
  SVg.append("text")
      .attr("text-anchor", "end")
      .attr("transform", "rotate(-90)")
      .attr("y", -margin.left+20)
      .attr("x", -margin.top)
      .text("Petal Length")

  // Shape scale: give a specie, it gives a shape
  var shape = d3.scaleOrdinal()
    .domain(["setosa", "versicolor", "virginica" ])
    .range([ d3.symbolCircle, d3.symbolTriangle, d3.symbolSquare])

  // Add dots
  SVg.append('g')
    .selectAll("dot")
    .data(data)
    .enter()
    .append("path")
      .attr("d", d3.symbol()
        .size(120)
        .type(function(d) {  return shape(d.Species) })
      )
      .attr("transform", function(d) { return "translate(" + x(d.Sepal_Length) + "," + y(d.Petal_Length) + ")"; })
      .style("fill", "black")
      .style("opacity", 0.8)

})

</script>

Dark mode


Notes:

  • Not very happy with it yet.

  • Just inverse the colors
<!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_dataviz4"></div>


<script>

// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 40, left: 50},
    width = 520 - margin.left - margin.right,
    height = 520 - margin.top - margin.bottom;

// append the SVg object to the body of the page
var SVG = d3.select("#my_dataviz4")
  .style("background-color", "#061f08")
  .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 + ")")

// Add the black box around the chart
SVG
  .append("rect")
    .attr("x",0)
    .attr("y",0)
    .attr("height", height)
    .attr("width", height)
    .style("fill", "none")
    .style("stroke", "black")
    .style("opacity", 0.6)

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

  // Add X axis
  var x = d3.scaleLinear()
    .domain([4, 8])
    .range([ 0, width ])
  SVG.append("g")
    .attr("transform", "translate(0," + height + ")")
    .call(d3.axisBottom(x))

  // Add Y axis
  var y = d3.scaleLinear()
    .domain([0, 8])
    .range([ height, 0])
    .nice()
  SVG.append("g")
    .call(d3.axisLeft(y))

  // Add X axis label:
  SVG.append("text")
      .attr("text-anchor", "end")
      .attr("x", width)
      .attr("y", height + margin.top + 20)
      .text("Sepal Length")
      .style("fill", "white")

  // Y axis label:
  SVG.append("text")
      .attr("text-anchor", "end")
      .attr("transform", "rotate(-90)")
      .attr("y", -margin.left+20)
      .attr("x", -margin.top)
      .text("Petal Length")
      .style("fill", "white")

  // Customization
  SVG.selectAll(".tick line").attr("stroke", "white")
  SVG.selectAll(".tick text").attr("stroke", "white").style("font-size", 10)

  // Color scale: give me a specie name, I return a color
  var color = d3.scaleOrdinal()
    .domain(["setosa", "versicolor", "virginica" ])
    .range([ "#440154ff", "#21908dff", "#fde725ff"])

  // Add dots
  SVG.append('g')
    .selectAll("dot")
    .data(data)
    .enter()
    .append("circle")
      .attr("cx", function (d) { return x(d.Sepal_Length); } )
      .attr("cy", function (d) { return y(d.Petal_Length); } )
      .attr("r", 8)
      .style("fill", function (d) { return color(d.Species) } )
      .style("stroke", "white")
      .style("stroke-width", 1)


})

</script>