Data Visualization with React and D3

Udemy Data Visualization with React and D3

Register & Get access to index
5192454-c060-2.jpg
Build beautiful and engaging interactive graphics using modern code and tools

Description​

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 course gets you up and running quickly with a flexible and highly customizable method for building interactive visualizations.
After this course, you'll be able to produce custom 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 practical experience and examples, drawing on the author's experience to show you the tradeoffs of various methods of combining these powerful tools.
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, 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

Who this course is for:​

  • Students learning software development who want to gain experience with data visualization
  • Data analysts or data scientists looking for more engaging and intuitive ways to present their work to general audiences
  • Journalists or others using data for storytelling and audience engagement
Author
Satoru Gojo
Downloads
123
Views
1,015
First release
Last update
Rating
0.00 star(s) 0 ratings

More resources from Satoru Gojo