PydyTuesday is a TidyTuesday experience tailored for Python users, in collaboration with
Posit. Each week, TidyTuesday features a new dataset, offering participants the opportunity
to explore, visualize, and share their insights. You can check out all the datasets here.
2025-12-02 Sechselaeuten
2025-11-25 Statistical Performance Indicators
2025-11-18 The Complete Sherlock Holmes
2025-11-11 WHO TB Burden Data
2025-11-04 Lead concentration in Flint water samples in 2015
2025-10-28 Selected British Literary Prizes
2025-10-21 Historic UK Meteorological & Climate Data
2025-10-16 World Food Day
2025-10-07 EuroLeague Basketball
2025-09-30 Crane Observations
2025-09-23 FIDE Chess Player Ratings
2025-09-16 Allrecipes
2025-09-02 Henley Passport Index Data
2025-09-02 Australian Frogs
2025-08-26 Billboard Hot 100 Number Ones
2025-08-19 Scottish Munros
2025-08-12 Extreme Weather Attribution Studies
2025-08-05 Income Inequality Before and After Taxes
2025-07-29 What have we been watching on Netflix?
2025-07-22 MTA Permanent Art Catalog
2025-07-15 British Library Funding
2025-07-08 The xkcd Color Survey Results
2025-07-01 Weekly US Gas Prices
2025-06-24 Measles cases across the world
2025-06-17 API Specs
2025-06-10 U.S. Judges
2025-06-03 Project Gutenberg
2025-05-27 Dungeons and Dragons Monsters (2024)
2025-05-20 Water Quality at Sydney Beaches
2025-05-13 Seismic Events at Mount Vesuvius
2025-05-06 NSF Grant Terminations
2025-04-29 useR!
2025-04-22 Fatal Car Crashes on 20/4
2025-04-15 Penguins
2025-04-08 Timely and Effective Care
2025-04-01 Pokemon
2025-03-25 Amazon Annual Reports
2025-03-18 Palm Trees
2025-03-11 Pixar Films
2025-03-04 Long Beach Animal Adoptions
