After Scott Murray’s classic introductory book, I’ve been continuing my D3 journey by taking up Amelia Wattenberger’s Fullstack D3 and Data Visualization course. Below are my consolidation exercises/visualizations, just like I did for Murray’s book! Please note that the nuances of dataviz design weren’t my priority here, rather just being able to create the charts and complete the exercises
Lesson 1: Line Chart
I reproduced the daily temperature chart based on MeteoSwiss’ data about the daily average temperature in Geneva, during 2023.
I also made a line chart about witch trials in Europe, based on Peter Leeson and Jacob Russ’ research.
Lesson 2: Scatterplot
For the scatterplot, I simply used “Goal and Shot Creation” data for players in the “Big 5” (football/soccer) European Leagues. Data is from FBref, and for the ongoing 2024/25 season.
The color gradient is for total goal-creating actions, as opposed to per-90 values.
Lesson 3: Bar Chart
Here the (simultaneous/one-time) plotting of multiple bar charts is based on randomly-generated data for six metrics!
Lesson 4: Animations and Transitions
Here I made two basic charts with randomly generated data, and animated transitions
Alexandre Bovey