Sara Stoudt

@sastoudt.bsky.social

#rstats, statistician who works on quantitative ecology problems, especially using community science data, teacher interested in data communication and storytelling

#ecots26 continues...just finished my "Reading for Humanness" workshop! Reading guides help students with both comprehension & reflection on the human impact of algorithmic decision making, featuring articles from @themarkup.org that connect well to statistics and data science topics.

This week for #TidyTuesday I'm doing a quick look at "grade" alignment, using dplyr's new filter_out and recode_values functions for the first time. Overall, CinemaScore had more higher grades while Metacritic and Rotten Tomatoes were harsher in their scores.

Clustered bar chart showing grade level of film scores across three sources (CinemaScore, Metacritic, and Rotten Tomatoes). Less than 20% of films had scores. Numeric scores were turned to grades. Minus or plus grades were aggregated. Overall CinemaScore had more higher grades while Metacritic and Rotten Tomatoes were harsher in their scores.
Jon Harmon (he/him/his) @jonthegeek.com · 2mo ago

@dslc.io welcomes you to week 23 of #TidyTuesday! We're exploring Films Based on Video Games! 📂 https://tidytues.day/2026/2026-06-09 🗞️ https://en.wikipedia.org/wiki/List_of_films_based_on_video_games #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.

A lot to unpack for #TidyTuesday. Some countries (e.g. Norway) always have equal leave policies per parent type. Others (e.g. Greece) have co-parent protections slightly lower than those of the birth mother. Others (e.g. Austria) show co-parent protections catching up to those of the birth mother.

Job protected leave duration in weeks between 1970 and 2024 across 21 European countries by parent type (birth mother v. co-parent)
Jon Harmon (he/him/his) @jonthegeek.com · 2mo ago

@dslc.io welcomes you to week 22 of #TidyTuesday! We're exploring European Parenting Leave Policies! 📁 https://tidytues.day/2026/2026-06-02 📰 https://eplp-dataset.org/ #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.

As I get back into #TidyTuesday, I'm trying to pay attention to my process (for reasons... more on that later), and I'm curious about everyone else's. What is your "way in" to the data? There are *a lot* of countries, and you likely had to narrow it down. How did you decide on your filter? 🧵 1/4

Jon Harmon (he/him/his) @jonthegeek.com · 2mo ago

@dslc.io welcomes you to week 21 of #TidyTuesday! We're exploring Sustainable Energy for All! 📁 https://tidytues.day/2026/2026-05-26 📰 https://energydata.info/dataset/dashboard/se4all-database #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.