2023

I’ll start this challenge with using the data from my left behind #TidyTuesday. You can find the code in my GitHub repo: https://github.com/Fgazzelloni/TidyTuesday

Part to whole - day 1 Waffle - day 2 flora/fauna - day 3
historical - day 4 slope day 5 OWId - day 6
hazards - day 7 Humans - day 8 high/low - day 9
Hybrid - day 10 Circular - day 11 Theme day: BBC News
Pop Culture - Day13 New tool - day 13 positive/negative day15
Family - day 16 Networks - day 17 day_18_eurosat
day19_anthropocene Correlation - day 20 down/upwards - day 21
Green Energy - day 22 Tiles - day 23 Theme Day: UN Woman - day 24
Global Change - day 25 Local Change - day 26 Good/Bad - day 27
Trend - day 28 monochrome - day 29 World Bank - day 30