
Explore data visualization with chart.js, learn to build charts and see what's under the hood, then set up your environment by downloading the prep archive and coding with a browser.
Learn to create a chart with chart.js in three steps by connecting the library in three clicks, setting up a canvas, and writing the main script in a separate file.
Create charts with Chart.js by initializing a chart instance using a rendering context and a central configuration object that defines type, data, and labels.
Inspect the chart object in Chart.js 4 to study its configuration and rendering properties, then change the type via the configuration object and call update to apply changes.
Explore the Chart.js library's chart variety, covering eight basic types, one- and multidimensional data, scatter and bubble charts, time dimension, and how to build dynamic, interactive charts with data configuration.
Explore the additional configuration sections in chart.js 4, including animation, element customization, axis customization, titles, subtitles, legends, and plugins to tailor charts to your needs.
Explore the history of pie and donut charts, and learn to create and customize them, including ring charts that show multiple data sets as a proportion of a whole.
Set up the HTML structure with a canvas, styles, and the Chart.js library to render a simple doughnut chart in JavaScript using four identical data values.
Configure chart js 4 datasets and properties with color arrays for seasons and months, compute days in months and seasons using a date library, and prep hover labels.
Learn to fine-tune charts in chart.js 4 by configuring options, plugins, and hover effects, using data labels, tooltips, and styling to display seasons and months on a full screen canvas.
Build a dynamic polar area chart with Chart.js that counts digit frequencies in pi’s decimals, from 0 to 9, while learning the HTML structure and loading data.txt.
Prepare a dynamic chart template with Chart.js to visualize the distribution of digits after pi’s decimal in a pie chart that updates as digits advance, using canvas and data labels.
Parse a text data file of pi digits by grouping ten-digit sets and using a flatMap approach to assemble them into a single array for building a dynamic chart.
Develop a dynamic chart update mechanism showing the frequency distribution of digits 0–9 as percentages. Learn updating with setInterval and clearInterval, and using destructuring to simplify chart updates.
Accelerate data visualization with Chart.js to analyze pi digits through a frequency test, demonstrating uniform distribution and dynamic polar area charts.
Create interactive charts with Chart.js by setting up an HTML/CSS layout, wiring range sliders to a canvas chart, and exploring RGB colors with alpha transparency.
Create an interactive color bar chart with Chart.js 4 by deriving rgb and alpha, register the window load event, and configure it with a type, data, appearance, and plugins.
Link sliders to a Chart.js 4 chart by retrieving slider values, mapping them, and updating bar heights and rgba transparency, while disabling animation and fixing transparency with backquotes.
Fine-tune an interactive chart in chart.js 4 by adjusting rgb colors and transparency, using the last color as background via a before-draw plugin.
Explore scatter charts and bubble charts to visualize data relationships on a cartesian plane, where bubble size adds a third variable for comparison across Kobe Bryant's shot data.
Learn to build interactive charts with chart.js 4 by handling page load and resize events, parsing shot data, and creating a canvas with a basketball court background and responsive updates.
Read and parse source data with file reader and paper parse library to produce x, y, and radius arrays for chart.js 4, distinguishing hits, misses, and unknown shots.
Learn how to position a basketball court background in chart.js 4 with a custom plugin, adjust axis ranges and flip the y axis, and select data for precise visualization.
Implement a hyperlink in a Chart.js 4 chart, attach an onClick handler to open external links via getElementsAtEventForMode, and reinitialize the canvas on resize for consistent sizing.
Explore radar charts and wind roses using chart.js to visualize multidimensional wind speed data; learn project setup with HTML, JavaScript, and a raw data file to build an interactive chart.
Learn to build windrose charts in chart.js 4 by converting wind direction and speed data into arrays, rendering on a responsive canvas, and interpreting color areas and center calm percentage.
Build and initialize a wind rose radar chart in Chart.js 4, defining six data areas, setting up polar coordinates, and customizing radius and angle visuals for clear directional wind data.
Fine-tune Chart.js 4 by adjusting elements such as points and lines, removing nodes, and configuring plugins for title and legend.
Extend Chart.js 4 by building a custom plugin using the beforeDraw callback to paint the title and legend background. Use destructuring to access chart properties and resize with the window.
Learn to build dynamic line charts with chart.js, update charts in real time, and overlay drawings on the canvas to enhance visualizations using formulas.
Explore how a chart.js module uses a self-invoked function expression to create a private scope with a public interface, handling initialization, canvas setup, data prep, and responsive drawing.
Explore dynamics and animation in chart js 4 by using phase shift to create a dynamic sine wave, updating data with each frame via requestAnimationFrame and keyboard controls.
Explore methods of customizing the chart view in Chart.js 4, including tension for bezier curves, interactive updating with keyboard controls, and an alternative setInterval approach.
Extend Chart.js 4 charts by building a custom plugin that draws crosshairs on a canvas, tracks mouse coordinates, and responds to clicks to enhance visual analysis during dynamic updates.
Capabilities of Web Animation using masks & clip path. Part1
In this lesson we will work with a clip path. In the first example, a raster image integrated into the SVG container will be used as the basis.
Capabilities of Web Animation using masks & clip path. Part2
In this lesson we will work with the mask. In the second example, we’ll work directly with SVG
Capabilities of Web Animation using masks & clip path. Part3
In this lesson, we will work with the clipping frame again. The third example will demonstrate the video content placed in the SVG container.
CSSPlugin [Part4: xPercent, yPercent]
Possibilities of use, advantages and disadvantages of using the “xPercent”, “yPercent” properties. Simplest practical example. Building an interactive animation "Eyes are watching you".
Explore staggered animations in Chart.js 4, offsetting multiple targets' start times with value time in seconds, and master the saga property and its syntax (number, object, or function).
Create staggered animations by using the GSAP library to render 27 canvas fragments from a 756-pixel image, drawing each fragment with drawImage and loading fragments via html and javascript.
Enable interactive gsap-driven animations and motion tweens by tuning sensitivity, duration, and rotation angles along the y and z axes via mouse movement, with a block class for canvases.
Learn GSAP staggered animations with configuration objects, using amount, each, grid, axis, and from to control timing and element order in a landscape scene.
Explore the HTML canvas element as a graphics container for drawing and animation, set up in HTML, accessed via id or querySelector, and draw with a 2d context.
Create interactive animations on the html canvas element using an alpha channel when filling the canvas, cursor-driven motion, and a ten-hue color array managed by a sprite class and requestAnimationFrame.
Define a sprite class with a constructor and update method to initialize instances, store lifetimes and angles, and draw animated squares with a movement formula and color offsets.
Canvas & Web Audio API [Audio Visualizer]. Part1
1. Basic html document settings for the project.
2. The 'audio' element. Purpose, use.
3. 'input' element. Purpose, use.
4. 'onchange' event
5. 'AudioContext' interface
6. The properties of the object to create the animation.
Canvas & Web Audio API [Audio Visualizer]. Part2
1. 'loadAudio()' method
2. FileReader interface
3. 'readAsDataURL()' method
4. Web Audio API: audio nodes, inputs and outputs, audio routing graph
5. audio initialization [part 1]
Canvas & Web Audio API [Audio Visualizer]. Part3
1. Audio initialization [part 2]
2. 'Uint8Array()' method
3. Building the first type of Audio Visualizer
4. The first version of the audio visualizer
Canvas & Web Audio API [Audio Visualizer]. Part4
1. Errors are related to the established connections between audio nodes and their elimination using the WeakMap object.
2. Setting up the first version of the audio visualizer.
Canvas & Web Audio API [Audio Visualizer]. Part5
1. Frequency audio test.
2. The second kind of audiovisualizer [based on the analysis of one of the set of frequencies].
3. Changes in transformation matrix.
4. Third kind of audiovisualizer.
Are you interested in creating dynamic and interactive charts for your web projects? Whether you're a seasoned developer looking to expand your skills or a beginner eager to dive into the world of web data visualization, my course on "Chart js v.4 [Creating the Perfect Diagram: Tips and Tricks]" is tailored for you!
In this course, you will introduce you to an exceptionally powerful tool for building web-based charts: the Chart.js library. You will gain proficiency in the latest version of Chart.js, equipped to craft visually compelling and data-rich charts for your websites and applications. Chart.js is renowned as one of the most versatile and high-performance JavaScript charting libraries available.
My teaching approach follows a structured model, combining theory and hands-on practice. Each lesson begins with comprehensive theoretical insights, laying a solid foundation for your understanding of dynamic chart creation. Then, we transition seamlessly into practical examples, allowing you to apply your newfound knowledge immediately. The primary goal of this course is to demonstrate the full spectrum of charting techniques that Chart.js offers.
The course progression is carefully designed to take you from the fundamentals to more advanced topics. You start with the basics, ensuring you grasp core concepts and construct simple charts. As the course unfolds, you delve into Chart.js's extensive capabilities, exploring its properties and methods to build increasingly complex and interactive charts. Toward the end, you'll be introduced to Chart.js tools that will allow you to create the most sophisticated web-based data visualizations.
My course interface is designed for clarity and convenience:
Chapter Title: Positioned in the upper right corner, it outlines the current section's focus (e.g., "Types of Сharts").
Lesson Number: Found in the upper left corner, it tracks your progress within the chapter (e.g., "Lesson 1b").
Lesson Name: Situated in the upper center, it identifies the current topic or lesson (e.g., "Doughnut and Pie Charts [Visualizing the Seasons]").
Theoretical Information: Displayed on the right side of your screen, this area provides in-depth insights into charting concepts.
Visual Studio Code Editor: Located on the left side, it offers a live code editor where you can see real-time examples and practice your skills.
Additional Resources: Positioned at the bottom, this section may contain supplementary information to enhance your understanding (e.g., "Tips for Smooth Animations").
All lessons are available in crystal-clear 1080p quality, ensuring a seamless learning experience. I recommend viewing the lessons in the highest quality possible for optimal comprehension.
Throughout the course, you'll find numerous JavaScript charting examples complete with code snippets. You can also actively experiment with this code.
Downloadable Archive: Download the course archive (e.g., "Chapter 1 Lesson 2 zip"), extract it to your local disk, and open the files in a text editor of your choice. Follow the instructions provided in the 1-st chapter to set up the library.
Upon completing this course, you'll possess a comprehensive mastery of Chart.js, enabling you to craft captivating and interactive charts that elevate your web projects. You'll have the skills to bring your data to life with precision and creativity.
Whether you're building data dashboards, infographics, or interactive reports, this course will empower you to turn your data into compelling visual narratives. Join now and embark on a journey to become a proficient web charting expert with Chart.js!