Chart.js is a free, open-source JavaScript library that renders charts onto an HTML canvas element. Instead of hand-drawing graphics or generating images on the server, you include the library (most simply through a CDN script tag), place a canvas in your page, and then write a JavaScript configuration object that tells Chart.js the chart type, the labels and datasets, and any display options. The same basic pattern produces bar, line, and pie charts — only the type value and the shape of the data change.
This topic matters in COP4813 because the data your applications collect is far more useful when users can see it. Chart.js pairs naturally with the other libraries in this module: Bootstrap can make a chart container responsive, jQuery or plain JavaScript can fetch data and update a chart in response to user events, and all three libraries must be loaded in a sensible order for the page to work.
As you watch the videos below, pay attention to four recurring pieces: the script tag that loads Chart.js, the canvas element and its id, the call that creates a new Chart object bound to that canvas, and the structure of the data and options objects. Notice also where the chart's numbers come from — hard-coded arrays, a JSON file, or a server-side query — because the configuration code stays largely the same no matter the source.
This tutorial walks through fetching data from a JSON file with JavaScript and feeding it into Chart.js to produce an interactive chart. Based on the title and description, it should cover loading the library, targeting a canvas element, and mapping the retrieved JSON values into the labels and datasets of a chart configuration. Expect to see the full path from raw data to a rendered, dynamic visualization.
It connects Chart.js configuration to real data rather than fixed sample values, which is exactly the workflow you will need for a data-driven page, and it covers the canvas, CDN, and data-configuration subtopics in one short walkthrough.
This short project video builds a set of responsive analytics charts — line, bar, multi-line, and pie — using HTML, CSS, JavaScript, and Chart.js. It is likely to show how the chart type and dataset structure differ between each chart variety while the surrounding setup stays the same. It also demonstrates styling and layout choices that keep the charts readable on smaller screens.
It is the most direct match for the bar, line, and pie subtopics, letting you compare several chart types side by side, and its responsive framing ties neatly back to the Bootstrap material in this module.
This tutorial demonstrates pulling records from a MySQL table with PHP and passing them to Chart.js so the chart updates from live database content. It should cover the server-side query, returning the data in a format JavaScript can consume, and then building the chart configuration from those values. The result is a chart that reflects whatever is currently stored in the database.
It extends the same Chart.js patterns to a server-backed data source, which is a common requirement in internet programming projects, and it reinforces that the chart configuration object is independent of where the data originates.
Together these videos support MO4 most directly: each one shows the canvas element, the Chart.js constructor, and the data and options objects needed to render bar, line, and pie charts, with the Asicoder project covering several chart types in a single build. The Digital Fox tutorials add practice supplying that configuration from JSON and from a PHP/MySQL back end, so you see how dynamic data flows into a chart. All three begin by loading Chart.js in the page, which reinforces the CDN integration and script load-order habits described in MO1, and the responsive chart layouts touch on the Bootstrap-style sizing concerns raised in MO3 and MO5.
These videos were chosen from YouTube on October 3, 2026. Each has captions; the player turns them on. Videos on YouTube can be changed or removed — if one no longer plays, tell your instructor. If a player does not appear, use its Watch on YouTube link.