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Use npm Packages

We can make npm packages available for you to use in your JavaScript. We use webpack to prepare them and make them available to import. We'll also process your JavaScript with Babel.

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HTML Settings

Here you can Sed posuere consectetur est at lobortis. Donec ullamcorper nulla non metus auctor fringilla. Maecenas sed diam eget risus varius blandit sit amet non magna. Donec id elit non mi porta gravida at eget metus. Praesent commodo cursus magna, vel scelerisque nisl consectetur et.

<div class="container">
  <br />
  <div class="row">
    <div class="col-md-1"></div>
    <div class="col-md-10">
<!--       Chart.js Canvas Tag -->
      <canvas id="pieChart"></canvas>
    <div class="col-md-1"></div>
  background-color: #444;

  background-color: grey;
  border-radius: 6px;
              var canvas = document.getElementById("pieChart");
var ctx = canvas.getContext('2d');

Chart.defaults.global.defaultFontColor = 'black';
Chart.defaults.global.defaultFontSize = 16;
var theHelp = Chart.helpers;

var data = {
  labels: ["she returns it ", "she keeps it"],
  datasets: [{
    fill: true,
    backgroundColor: [
    data: [5, 95],
    borderColor: ['black', 'black'],
    borderWidth: [2, 2]

var options = {
  title: {
    display: true,
    text: 'What happens when you lend your Hoodie to a girl ?',
    position: 'top'
  rotation: -0.7 * Math.PI,
  legend: {
    display: true,
    // generateLabels changes from chart to chart,  check the source, 
    // this one is from the doughut :
    // https://github.com/chartjs/Chart.js/blob/master/src/controllers/controller.doughnut.js#L42
    labels: {
      generateLabels: function(chart) {
        var data = chart.data;
        if (data.labels.length && data.datasets.length) {
          return data.labels.map(function(label, i) {
            var meta = chart.getDatasetMeta(0);
            var ds = data.datasets[0];
            var arc = meta.data[i];
            var custom = arc && arc.custom || {};
            var getValueAtIndexOrDefault = theHelp.getValueAtIndexOrDefault;
            var arcOpts = chart.options.elements.arc;
            var fill = custom.backgroundColor ? custom.backgroundColor : getValueAtIndexOrDefault(ds.backgroundColor, i, arcOpts.backgroundColor);
            var stroke = custom.borderColor ? custom.borderColor : getValueAtIndexOrDefault(ds.borderColor, i, arcOpts.borderColor);
            var bw = custom.borderWidth ? custom.borderWidth : getValueAtIndexOrDefault(ds.borderWidth, i, arcOpts.borderWidth);
              return {
              // And finally : 
              text: ds.data[i] + "% of the time " + label,
              fillStyle: fill,
              strokeStyle: stroke,
              lineWidth: bw,
              hidden: isNaN(ds.data[i]) || meta.data[i].hidden,
              index: i
        return [];

// Chart declaration:
var myPieChart = new Chart(ctx, {
  type: 'pie',
  data: data,
  options: options


//Plugin from githubExample:

  afterDatasetsDraw: function(chartInstance, easing) {
    // To only draw at the end of animation, check for easing === 1
    var ctx = chartInstance.chart.ctx;
    chartInstance.data.datasets.forEach(function(dataset, i) {
      var meta = chartInstance.getDatasetMeta(i);
      if (!meta.hidden) {
        meta.data.forEach(function(element, index) {
          // Draw the text in black, with the specified font
          ctx.fillStyle = 'grey';
          var fontSize = 16;
          var fontStyle = 'normal';
          var fontFamily = 'Helvetica Neue';
          ctx.font = Chart.helpers.fontString(fontSize, fontStyle, fontFamily);
          // Just naively convert to string for now
          var dataString = dataset.data[index].toString();
          // Make sure alignment settings are correct
          ctx.textAlign = 'center';
          ctx.textBaseline = 'middle';
          var padding = 5;
          var position = element.tooltipPosition();
          ctx.fillText(dataString + '%', position.x, position.y - (fontSize / 2) - padding);

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