TidyTuesday 2022/20 May 19, 2022 Eurovision & scoreboard & R & tutorial & Data Visualization For this week’s #TidyTuesday I recreated the scoreboard from this year’s Eurovision with ggplot. code on GitHub Here is a mini tutorial: I used TidyTuesday 2022/19 May 11, 2022 R & TidyTuesday & books & New York Times & bestsellers & Data Visualization Number of books featured in The New York Times Hardcover Fiction Bestsellers for this week’s #TidyTuesday. First “published” plot using {ggsvg} Code TidyTuesday 2022/18 May 8, 2022 R & energy & solar & wind & TidyTuesday & Data Visualization Solar and wind costs by month of year for this week’s #TidyTuesday Code on GitHub TidyTuesday 2022/17 April 29, 2022 R & Kaggle & people & Data Visualization For this week’s #TidyTuesday I used the new family aesthetic of ggdist::geom_dots() to plot the Kaggle age of the notebook authors featured on TidyTuesday 2022/16 April 22, 2022 crossword & The Times & Jumbo & cryptic & R & Data Visualization For this week’s #TidyTuesday I looked at the longest answers in The Times Jumbo Cryptic Crosswords. code and full-size image on GitHub TidyTuesday 2022/15 April 14, 2022 indoor air pollution & R & world & Data Visualization Deaths from indoor air pollution for this week’s #TidyTuesday. Not the most readable chart but I got a little too excited making it, used two hacks TidyTuesday 2022/14 April 8, 2022 news organizations & R & characters & Data Visualization For this week’s #TidyTuesday I looked at the frequency of characters in names of U.S. local news organizations by the year they were founded. TidyTuesday 2022/13 April 1, 2022 sports & US & map & R & Data Visualization College spending on basketball and football vs other sports for this week’s #TidyTuesday Code on GitHub TidyTuesday 2022/12 March 23, 2022 names & R & Data Visualization For this week’s #TidyTuesday I plotted the ratio of girls to boys for names that were given to both genders between 1880 and 2017 in the US. There TidyTuesday 2022/11 March 19, 2022 R & packages & CRAN & Data Visualization For this #TidyTuesday I plotted the number of versions of packages in CRAN and highlighted those I have used at least once. code on GitHub Next page