D3.js Chart Example

Another simple tool for Data Scientists to use is D3.js within Javascript. You can draw some powerful visualizations from many different data sources. Here is an example using a csv file as the data source, but you can also use html, json, xml or XMLHttpRequest.

Here is the Javascript source code that was used to draw the chart shown above.

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

<head>
    <style>

    .axis {
      font: 10px sans-serif;
    }

    .axis path,
    .axis line {
      fill: none;
      stroke: #000;
      shape-rendering: crispEdges;
    }

    </style>
</head>

<body>
    
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>

<script>

var margin = {top: 20, right: 20, bottom: 70, left: 40},
    width = 600 - margin.left - margin.right,
    height = 300 - margin.top - margin.bottom;

// Parse the date / time
var    parseDate = d3.time.format("%Y-%m").parse;

var x = d3.scale.ordinal().rangeRoundBands([0, width], .05);

var y = d3.scale.linear().range([height, 0]);

var xAxis = d3.svg.axis()
    .scale(x)
    .orient("bottom")
    .tickFormat(d3.time.format("%Y-%m"));

var yAxis = d3.svg.axis()
    .scale(y)
    .orient("left")
    .ticks(10);

var svg = d3.select("body").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 + ")");

d3.csv("https://26de37ed-7c94-4b76-addd-741d36fcb0ab.usrfiles.com/ugd/26de37_4955ff8cc7914523b2cd6c660baf8a2b.csv", function(error, data) {

    data.forEach(function(d) {
        d.date = parseDate(d.date);
        d.value = +d.value;
    });
    
  x.domain(data.map(function(d) { return d.date; }));
  y.domain([0, d3.max(data, function(d) { return d.value; })]);

  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis)
    .selectAll("text")
      .style("text-anchor", "end")
      .attr("dx", "-.8em")
      .attr("dy", "-.55em")
      .attr("transform", "rotate(-90)" );

  svg.append("g")
      .attr("class", "y axis")
      .call(yAxis)
    .append("text")
      .attr("transform", "rotate(-90)")
      .attr("y", 6)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .text("Value ($)");

  svg.selectAll("bar")
      .data(data)
    .enter().append("rect")
      .style("fill", "steelblue")
      .attr("x", function(d) { return x(d.date); })
      .attr("width", x.rangeBand())
      .attr("y", function(d) { return y(d.value); })
      .attr("height", function(d) { return height - y(d.value); });

});

</script>

</body>

©2020 by Data Analytics Consulting Services Pte Ltd.