# Getting Started
Let's get started with Chart.js!
- Follow a step-by-step guide to get up to speed with Chart.js
- Install Chart.js from npm or a CDN
- Integrate Chart.js with bundlers, loaders, and front-end frameworks
Alternatively, see the example below or check samples.
# Create a Chart
In this example, we create a bar chart for a single dataset and render it on an HTML page. Add this code snippet to your page:
<div> <canvas id="myChart"></canvas> </div> <script src="https://cdn.jsdelivr.net/npm/chart.js"></script> <script> const ctx = document.getElementById('myChart'); new Chart(ctx, { type: 'bar', data: { labels: ['Red', 'Blue', 'Yellow', 'Green', 'Purple', 'Orange'], datasets: [{ label: '# of Votes', data: [12, 19, 3, 5, 2, 3], borderWidth: 1 }] }, options: { scales: { y: { beginAtZero: true } } } }); </script>
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You should get a chart like this:
Let's break this code down.
First, we need to have a canvas in our page. It's recommended to give the chart its own container for responsiveness.
<div> <canvas id="myChart"></canvas> </div>
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Now that we have a canvas, we can include Chart.js from a CDN.
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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Finally, we can create a chart. We add a script that acquires the myChart
canvas element and instantiates new Chart
with desired configuration: bar
chart type, labels, data points, and options.
<script> const ctx = document.getElementById('myChart'); new Chart(ctx, { type: 'bar', data: { labels: ['Red', 'Blue', 'Yellow', 'Green', 'Purple', 'Orange'], datasets: [{ label: '# of Votes', data: [12, 19, 3, 5, 2, 3], borderWidth: 1 }] }, options: { scales: { y: { beginAtZero: true } } } }); </script>
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You can see all the ways to use Chart.js in the step-by-step guide.
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