Mastering data visualization in D3.js
- 7 hours on-demand video
- 11 Articles
- 6 Downloadable Resources
In the first phase of the course, I will be building up your knowledge of D3 and introducing you to some of the most foundational topics in data visualization. You will:
- Understand what SVGs are and how to they work with D3.
- Discover how D3 associates shapes with pieces of data.
- Write scales, axes, and labels to make some basic visualizations.
- Use the D3 update pattern to shift the position of SVGs as our data changes.
- Handle user interactions by adding events to the page.
- Add legends, tooltips, and sliders to your visualizations.
The course will also focus on data visualization design, helping you to make better decisions about how to structure your code, and teaching you to justify the decisions that you make to others. You will learn how to select the right visual channels for the data that you’re working with to create completely unique visualizations.
In the second phase of the course, I will be taking you on a crash course through 12 new visualizations. You will gain a wide breadth of knowledge in D3, as I will be walking you through pre-written code from members of the D3 community. I’ll introduce you to D3 layouts, and I will be showing you how to build each of these visualizations in D3:
- Line Charts
- Area Charts
- Stacked Area Charts
- Pie Charts
- Donut Charts
- Choropleth Maps
- Node-Link Diagrams
- Tree Diagrams
- Circle Packs
- Sunburst Plots
This part of the course will also teach you the skill of finding new visualizations by yourself, adapting open source code to fit with your own data.
In the final phase of the course, I will be showing you the proper file structure to use for managing multiple visualizations on the page at once. You will be able to create visualizations that can communicate with one another, allowing you to link user interactions between multiple different graphs. You’ll also learn how to use brushes in D3 to select areas on the chart with the drag of a mouse.