Important: This course is for students enrolled in a nanodegree. If you are not currently enrolled in a nanodegree, please access the full version of the Data Visualization Course.

Data Visualization and D3.js


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Contents


Course Resources

Additional Reading

Additional Documentation

JavaScript Documentation Mozilla Developer Network (MDN) D3.js Documentation Dimple.js Documentation

Downloadable Materials

You can download Supplemental Materials, Lesson Videos and Transcripts from Downloadables (bottom right corner of the Classroom) or from the Dashboard (first option on the navigation bar on the left hand side).

Course Syllabus

Lesson 1a Visualization Fundamentals

Learn about the elements of great data visualization. In this lesson, you will meet data visualization experts, learn about data visualization in the context of data science, and learn how to represent data values in visual form.

Lesson 1b D3 Building Blocks

Learn how to use the open standards of the web to create graphical elements. You’ll learn how to select elements on the page, add SVG elements, and how to style SVG elements. Make use of all the Instructor Notes throughout this lesson if you have little to no experience with HTML and CSS.

Mini-Project 1: RAW Visualization

Create a data visualization using a software of your choice. We will provide recommendations for visualization software as well as data sets. We want you to get right into making data visualization so here’s your first chance!

Lesson 2a Design Principles

Which chart type should I use for my data? Which colors should I avoid when making graphics? How do I know if my graphic is effective? Investigate these questions, and learn about the World Cup data set which will be use throughout the rest of the course.

Lesson 2b Dimple.js

Learn how to create graphics using the Dimple JavaScript library. You will learn about this library as a gentle coding introduction before learning about D3.js. You will be able to produce great graphics with minimal code, and all of your graphics will come with interactivity without any extra effort on your part. Dimple, it's simple!

Mini-Project 2: Take Two

Find an existing data visualization, critique it for what it does well and what it doesn’t do well, and finally, recreate the graphic using a software tool of your choice. We recommend using Dimple.js, which is covered in Lesson 2b, but we don’t want you to feel constrained by the choice of tools. Use any tool that works for you.

Lesson 3 Narrative Structures

Learn how to incorporate different narrative structures into your visualizations and code along with Jonathan as you create a graphic for the World Cup data set. You’ll learn about different types of bias in the data visualization process and learn how to add context to your data visualizations. By the end of this lesson, you’ll have a solid foundation in D3.js.

Lesson 4 Animation and Interaction

Static graphics are great, but interactive graphics can be even better. Learn how to leverage animation and interaction to bring more data insights to your audience. Code along with Jonathan once again as you learn how to create a bubble map for the World Cup data set.