30 Day Chart Challenge

The #30DayChartChallenge is a data visualisation challenge organised by Cédric Scherer and Dominic Royé. Participants make one chart each day of the challenge, inspired by the daily prompt. The prompts are also split across 5 different categories. Check out the challenge at twitter.com/30DayChartChall. I used a range of tools to create my charts, including R, Python, Tableau, rawgraphs, Inkscape, and Figma. Most of the charts I created were built in R, but I used at least one “new” tool for each of the five categories.

2022

Comparisons

Day 1 (Part to whole) in R

Day 2 (Pictogram) in R

Day 3 (Historical) in R

Day 4 (Flora) in Tableau (left) and R (right)

Day 5 (Slope) in R

Day 6 (Our World in Data) in R

Distributions

Day 7 (Physical) in R

Day 8 (Mountains) in Figma

Day 9 (Statistics) in R

Day 10 (Experimental) in R

Day 11 (Circular) in R

Day 12 (The Economist) in R

Relationships

Day 13 (Correlation) in R

Day 14 (3-Dimensional) in Python and R

Day 15 (Multivariate) in R

Day 16 (Environment) in R

Day 17 (Connections) in R

Day 18 (OECD) in R

Time Series

Day 19 (Global Change) in R

Day 20 (New Tool) in Inkscape

Day 21 (Down and Upwards) in R

Day 22 (Animation) in R

Day 23 (Tiles) in R

Day 24 (Financial Times) in R

Uncertainties

Day 25 (Trend) in R

Day 26 (Interactive) in R

Day 27 (Future) in R

Day 28 (Deviations) in RAWgraphs and Inkscape

Day 29 (Storytelling) in R and Inkscape

Day 30 (UN Population) in R