Charts with Chart.js

Use a JavaScript library to make cool charts!


In this workshop you'll learn how to make a chart generator using Chart.js, a free open-source JavaScript library for data visualization. Follow along and see how easy it is!

Here you can find a live demo and here, you will find the source code.

Chart Generator

Set Up

This workshop requires a very basic knowledge of the following languages: HTML & JS. Don’t worry if you get stuck at some point in the workshop, everything is explained for you to understand!

For this workshop we will use, a free, online code editor. Click here to create a coding environment.



Alright, the first thing we have to do is to load Chart.js into our HTML document. To do this, we are going to paste the following code inside of our <head> tag.

<script src=""></script>

This allows us to use Chart.js without having to download it. Learn about CDNs here.

The next thing we have to do is to create a canvas element inside of our body tag, and give it an id. Our chart will be drawn in this canvas.

<canvas id="myChart"></canvas>

Additionally, we have to create inside of a div container, 2 input elements and 3 buttons with the following attributes and values.

<canvas id="myChart"></canvas>
  <input id="data" type="number" placeholder="Data">
  <input id="label" type="text" placeholder="Data's Label">

  <button onclick="addData(myChart)">Add Data</button>
  <button onclick="removeData(myChart)">Remove Data</button>
  <button onclick="saveCanvas()">Save Chart</button>

Notice that the 2 input elements have the attribute type but with different values. The number type is used to let the user enter a number, and the text type create basic single-line text fields. These inputs also have the attribute placeholder, which specifies a short hint that describes the expected value of an input field.

Also, you can see that the button elements have the onclick attribute. Tthis is actually an event handler. When the button is clicked, the specified function will run.

Here's how our HTML document looks so far:



Now that we have our HTML document ready, we should style it a little bit to make it look better. So, go ahead and click on the style.css file located in the Files tab.

First, we need to align all the input and button elements to the center.

div {
  display: flex;
  justify-content: center;

Let's break this down:

  • The display property sets whether an element is treated as a block or inline element and the layout used for its children, such as flow layout, grid or flex.
  • The justify-content property defines how the browser distributes space between and around content items along the main-axis of a flex container, and the inline axis of a grid container.
  • In CSS, this is what's known as flexbox. Learn more about flexbox here!

When you click on the green Run button at the top of your repl, you'll see that the elements are perfectly aligned to the center.

Div aligned to the center

Cool! – But our elements also look very boring right now. So let's style them a little bit!

button {
  background-color: #ffe0e6;
  border: 2px solid #fbabbb;
  border-radius: 5px;
  padding: 7px 16px;
  margin:0 2px 0 0;
  color: #7b7a7a;
  cursor: pointer;

  background-color: #ffe0e6;
  border: 2px solid #fbabbb;
  border-radius: 5px;
  padding: 5px;
  margin:0 2px 0 0;

Here, we're giving the button and input elements:

  • A background color
  • A border (with a color too)
  • a border radius
  • And some other stuff that you can see here:

HTML DOM but with CSS

Cool, our website looks a lot better now!


Now, let's move to the fun part of the workshop. Go ahead and click on the script.js file located in the Files tab.

Fun gif

Setting up the canvas

First we'll need to get the context for our canvas. The canvas context is an object with properties and methods that you can use to render graphics inside the canvas element.

var canvas = document.getElementById('myChart');
var ctx = canvas.getContext('2d');
  1. First, we are creating a variable named canvas, that gets the canvas element using the getElementById() method.
  2. Then, we are creating another variable named ctx, that uses the getContext() method to return the drawing context of the canvas, which is 2d.

Creating a chart

Now, we're going to create a chart with some colors and a few cool options that will be useful later.

var myChart = new Chart(ctx, {
  type: 'bar',
  data: {
    datasets: [{
      label: '',
      backgroundColor: [
        'rgba(255, 99, 132, 0.2)',
        'rgba(54, 162, 235, 0.2)',
        'rgba(255, 206, 86, 0.2)',
        'rgba(75, 192, 192, 0.2)',
        'rgba(153, 102, 255, 0.2)',
        'rgba(255, 159, 64, 0.2)'
      borderColor: [
        'rgba(255, 99, 132, 1)',
        'rgba(54, 162, 235, 1)',
        'rgba(255, 206, 86, 1)',
        'rgba(75, 192, 192, 1)',
        'rgba(153, 102, 255, 1)',
        'rgba(255, 159, 64, 1)'
      borderWidth: 1
  options: {
    scales: {
      yAxes: [{
        ticks: {
          beginAtZero: true

Let's break this down:

  1. In a variable called chart, we are creating a new Chart object.
  2. This object has 2 essential elements: the type element, which specifies what type of chart we want to be rendered, and the data element, which contains a series of datasets and labels that will be used to render the chart.
  3. The backgroundColor: and borderColor: elements set the background and border color for each bar respectively using rgba colors.
  4. The borderWidth element sets the width for the border.
  5. The options element is used to configure the chart in different ways.

Here's what the code above will render:


Types of charts

Chart.js allows us to use up to 7 built-in charts types, and you can even create your own chart type.

Here are some of them:


Bar chart


Line chart

Doughnut and Pie

Doughnot and pie charts

Polar area

Polar area chart


Now we have our chart, but we need to get data from somewhere. So, we're going to create a function that takes the input elements and gets their values. Then, using Chart.js methods, we'll push that data into our chart.

function addData(chart) {"label").value); => {"data").value);
  • We are creating a function called addData. This function will be called whenever the user clicks on the Add Data button.
  • Then we are taking the variable chart (where the Chart object is in), and using its methods:
    • The data method gets the data array from the object chart.
    • The labels method gets the labels array from the data array.
    • The push method adds data to the labels array. This data is gotten using the methods document.getElementById() and value.
  • Then we do the same thing, but this time we'll get the datasets array from the data array, and using the forEach() method we'll call a function that will execute for every dataset in our datasets array.
  • Finally, we use the update method to update the chart once the data is gotten.

Here's the result of the code above:


Now, we'll create a function that removes data from the chart. We'll do it the same way as the past function, but this time we'll use the pop method instead of the push method.

function removeData(chart) {; => {;

Let's see if it works:


Nice! – Now, the last thing we have to do is to create a function that saves the chart as a png image.

function saveCanvas() {
  var image = canvas.toDataURL();  
  var tmpLink = document.createElement('a'); = 'my_chart.png';
  tmpLink.href = image;  

This is what the code above does:

  1. Convert the canvas to a data url, and store that url in the variable image.
  2. Create an HTML link element using the method document.createElement()
  3. Set the download attribute of the link element to my_chart.png. This is what the downloaded file gets saved as.
  4. Set the href attribute of the link element to the data url acquired in step 1. This will cause that to be the image that is downloaded when the link is clicked.
  5. Append the link to the end of the page, so that it is part of the website
  6. Automatically trigger a click event on the link with JavaScript
  7. Remove the link from the website, so it's no longer visible

Now, let's try it:


Hack it

Yay! You made it to the end of the workshop!

Congrats GIF

Now that you know how to use Chart.js, feel free to hack it and use it for your personal projects.

Live demos

Check out these charts made by other people using ChartJs:


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