Three years ago, Cédric Scherer co-created the first #30DayChartChallenge — and it took off in a big way! This year he set himself two extra, personal challenges: to create only charts about The Simpsons, using only Datawrapper.
I'm rly backlogged on the #30DayChartChallenge b/c I got nerdswiped trying to make a new #Observable Plot mark for HTML styled text…and it's nearly working!
Nothing fancy for the late entry to day 14 of the #30DayChartChallenge. Just a basic Season/Episode ratings #Observable Plot heatmap for selected TV shows from IMDB's catalog.
For day 13 of the #30DayChartChallenge (relationships/family) we use #Observable and #D3 to explore the malware families used by threat actors, and let you tap into them to go to the entries on Malpedia.
For Day 12, I snagged the metadata for all the Reuters Graphics team stories and did a bit of an homage to the team, using their fonts and style colors. Grab the data as there's lots more to poke at!
Drop #442 (2024-04-12): Moreutils; Rats in Realtime
The Friday edition of The Drop features moreutils, a collection of Unix utilities designed to enhance the standard toolset, and Realtime, a platform providing live data visualizations and reports across various topics, including NYC 🐀 sightings. Could be a great source for folks participating in the #30DayChartChallenge.
For Day 11 of the 2024 #30DayChartChallenge I did more of a technical submission in that it shows how to make a 📊— incl. a custom annotation — responsive based on media queries.
This example initially downsizes the font at one breakpoint, then switches to vertical bars at smallest breakpoint.
For day 10 of the #30DayChartChallenge (distribution/physical) we look at the historical, present, and projected distributions of cargo by travel mode via an interactive #observable notebook that lets you explore each cargo type.
For day 8 of the 2024 #30DayChartChallenge (distribution / circular) we look at the historical make-up of the U.S. Congress (starting with the 32nd) with animated parliament plots in #Observable (#RStats data wrangling code included in the notebook).
For day 7 ("hazards") of the #30DayChartChallenge we use #DuckDB to read in and wrangle the U.S. mass shootings Google Sheet data curated by Mother Jones to look at the distribution of the number of fatalaties per-incident from 1982-2023.
For day 5 of the #30DayChartChallenge (diverging) this #Observable notebook looks at 2023 U.S. state migration inbound/outbound flows through two different lenses.
The notebook has #RStats data wrangling code, too.