Data Visualization in JavaScript with React and D3.js

Build beautiful data visualizations and visualization tools with JavaScript

Part science, part art, data visualization is one of the most -in-demand skills in the data science and software industries. Taught by a full-time data visualization developer, this dataviz course gets you up and running quickly with a flexible and highly customizable method for building interactive visualizations and storytelling with data.

After this tutorial, you'll be able to produce beautiful data visualizations using your own graphic style that are performant and highly responsive to user input. The stack taught here includes the latest versions of React (v17) and D3.js (v7), two of the most popular modern JavaScript libraries mentioned in job postings. The course focuses on learning JavaScript through practical experience and examples, drawing on the author's experience to show you the tradeoffs of various methods of combining these powerful tools.

If you're looking to gain highly in-demand skills for business intelligence, building dashboards, or other visualization tools, this course will get you up and running quickly and give you a competitive edge in the job market.

Some prior knowledge of using React and D3 separately is recommended for this course. However, we will cover the necessary topics in brief review modules and provide plenty of data visualization examples, so a little independent study and a grasp of basic JavaScript should be enough to get you started.

Course Outline:

Introduction

• Why learn React and D3

Part 1: D3 basics review

• Binding data to the Document-Object Model (DOM) using D3

• Adding data and styling it in D3

Part 2: A declarative approach to integrating React and D3

• Translating D3 syntax into JSX

• Pros and cons of this approach

Part 3: A hybrid approach to React and D3

• Learn how to  balance D3's built-in transition capabilities and DOM updates and React's render cycle

• Build a fully functioning scatterplot that updates with new data

Part 4: Practical project - Gapminder scatterplot

• Build a fully interactive data visualization of the popular gapminder dataset

• Add user-defined filters and other controls

• Bring all your knowledge together to create a fully immersive chart similar to what you would create for a business use case or publication