Chart.js Code Templates

by Ilya Ilyankou and Jack Dougherty, last updated August 11, 2019

While beginners appreciate the drag-and-drop chart tools and tutorials described earlier in this book, such as Google Sheets and Tableau Public, more advanced users may wish to customize their visualizations, add more complex data, and control exactly how and where their work appears on the web. A more powerful and relatively easy-to-learn solution is to use code templates built with Chart.js, an open-source library, which you can modify and host on GitHub, as described in this book.

Pros of working with Chart.js

  • Open-source code that is distributed under MIT license and is free for all and
  • Easier for beginners to understand than more complex visualization code libraries such as D3.js

Cons of working with Chart.js

  • Must host your own code repositories to publish to the web (with a free service such as GitHub Pages)

List of Chart.js templates

Templates Best use and tutorial chapters
to come to come

Inside the templates

The templates featured above vary from simple to complex, but all of them rely on four basic pillars:

  • HTML: language to structure content on the web (example: index.html)
  • CSS, or Cascading Style Sheet: to shape how content appears on the web (example: style.css)
  • JavaScript: code to create the chart and interactivity (example: script.js)
  • CSV: data that powers the visualization that is expressed in comma-separated format (example: data.csv)

Also, these templates refer to other code elements: - library: link to online instructions to complete routine tasks (example: Highcharts) - data: content to appear in chart, typically in CSV format (example: data.csv) or pulled from Google Sheets

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