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  1. TidyTuesday 2026/36

    This week’s data is Castlemap, a Wikidata inventory of 5,793 castles, fortresses, palaces and ruins in 138 countries.

  2. TidyTuesday 2026/35

    This week’s data is country music lyrics, a spreadsheet Grady Smith built by hand over six years for his video Every country song has these lyrics.

  3. TidyTuesday 2026/34

    This week’s data is IELTS test scores.

  4. TidyTuesday 2026/33

    This week’s data is the Palomar spectroscopic survey of nearby galaxy nuclei by Ho, Filippenko and Sargent.

  5. TidyTuesday 2026/32

    This week’s data is Lesotho’s wool trade from UN Comtrade, pulled with the comtradr package.

  6. TidyTuesday 2026/31

    This week’s data is Australian tourism from the ecotourism R package.

  7. TidyTuesday 2026/30

    This week’s data is a collection of near-death experience accounts from the Near Death Experience Research Foundation (NDERF).

  8. TidyTuesday 2026/29

    This week’s data is a set of body measurements for 93 penguins, spanning 18 species and six genera.

  9. Filamentous

    Code on GitHub

  10. TidyTuesday 2026/28

    This week’s data is UFC fight and athlete data from the fightr R package, which collects it from UFC athlete profiles, UFC Stats, Kaggle and the Octagon API.

  11. TidyTuesday 2026/27

    This week’s data is the Wreck Inventory of Ireland Database (WIID), a record of thousands of known and suspected shipwrecks in Irish waters, maintained by the National Monuments Service.

  12. TidyTuesday 2026/26

    This week’s data is two papal encyclicals: Leo XIII’s Rerum Novarum (1891) and Leo XIV’s Magnifica Humanitas (2026).

  13. TidyTuesday 2026/25

    This week’s data comes from the UK birth registries, covering baby names from 1997 to 2024.

  14. TidyTuesday 2026/24

    This week’s data comes from Wikipedia’s List of films based on video games.

  15. TidyTuesday 2026/23

    This week’s data comes from the European Parenting Leave Policies (EPLP) Dataset, which covers maternity, co-parent, and parental leave regulations across 21 European countries from 1970 to 2024.

  16. TidyTuesday 2026/22

    This week’s data comes from Sustainable Energy for All (SE4ALL), and covers the share of total final energy that comes from traditional biomass such as firewood, charcoal, crop residue and dung burned in open fires and inefficient stoves, from 1990 to 201…

  17. TidyTuesday 2026/21

    This week’s dataset comes from Crossref, a DOI registration agency for scholarly content.

  18. TidyTuesday 2026/20

    This week’s dataset comes from Wikidata, collected by Ahmad Barclay for the Twin cities explorer.

  19. TidyTuesday 2026/19

    This week’s dataset covers Italian industrial production statistics from Istat.

  20. TidyTuesday 2026/18

    This week I looked at US import taxes on agricultural goods, showing the highest rate within each product category.

  21. 30DayChartChallenge 2026

    This year’s personal theme is Uppsala transportation Code on GitHub Day 1, Part-to-Whole Day 2, Pictogram Day 3, Mosaic Day 4, Slope Day 5, Experimental Day 7, Multiscale Day 8, Circular Day 9, Wealth Day 12, FlowingData Day 13, Ecosystems Day 14, Trade D…

  22. TidyTuesday 2026/17

    This week’s dataset comes from the WHO Global Health Expenditure Database (GHED), covering health spending by purpose across countries and years.

  23. TidyTuesday 2026/16

    This week’s dataset comes from the at-sea seabird observation records held by the Museum of New Zealand Te Papa Tongarewa, built largely from the handwritten logbooks of Captain John Arthur Francis Jenkins (1928–1989).

  24. TidyTuesday 2026/15

    This week’s dataset comes from RepairMonitor, which has been logging repairs at volunteer-run Repair Cafés worldwide since 2015.

  25. TidyTuesday 2026/14

    This week’s #TidyTuesday dataset comes from the Centre for Marine Applied Research, which has been recording daily ocean temperatures along Nova Scotia’s coast for seven years at depths of 2, 5, 10, 15, 20, 30, and 40 metres.

  26. TidyTuesday 2026/13

    This week’s #TidyTuesday dataset is a million digits of π, which is far more than anyone will ever use.

  27. TidyTuesday 2026/12

    This week’s #TidyTuesday data comes from the Norwegian Veterinary Institute, which tracks salmon farming mortality across Norway’s 13 coastal production areas.

  28. TidyTuesday 2026/11

    This week’s #TidyTuesday data comes from Adam Kucharski’s CAPphrase survey, which asked people to translate probability phrases into numbers.

  29. TidyTuesday 2026/10

    This week’s #TidyTuesday is about Hermann’s tortoises in North Macedonia, where males now vastly outnumber females and the population is collapsing toward extinction.

  30. TidyTuesday 2026/09

    This week’s #TidyTuesday is about grants awarded by Science Foundation Ireland (SFI) from 2005 to 2024.

  31. TidyTuesday 2026/08

    New Zealand once had over 20 sheep per person.