I only need *5* more dataset curations (and to review those 5 plus the open PR) to be done curating #TidyTuesday for 2025! I can definitely do at least one myself, so I just need 4 of you to curate a dataset! Check out github.com/rfordatascie... for #RStats instructions.

This is really one of the best charts by @ourworldindata.org 📊 Amazing how much research and work goes into creating a chart like this. And it's such a good insight into society.

#tidytuesday Arrival of the Cranes to Hornborgasjön in Spring (2014-2024).

My submission for #TidyTuesday, Week 38 on FIDE Chess Player Ratings. I explore rating change from August to September 2025 by sex and k factor. Code: github.com/mitsuoxv/tid...

Had some fun with today's #TidyTuesday dataset! Here is an annotated streamgraph displaying chess players' age versus title.

#tidytuesday and #chess data is my favourite combo

This week #TidyTuesday explores the FIDE Chess Player Ratings. I selected the top 10 male and top 10 female players who saw the biggest jump in ratings and rankings from August to September and then presented them in a table with the great_tables library. #pydytuesday #dataviz

it's midnight somewhere (ok, the next timezone over), so here is my first-ever #pydytuesday / #tidytuesday effort! I had maaaaaybe a little bit too much fun, given I've been trying to develop my charting style for stuff I'm doing at work.

📊 #TidyTuesday – 2025 W38 | FIDE Chess Player Ratings . 🔗: stevenponce.netlify.app/data_visuali... . #rstats | #r4ds | #dataviz | #ggplot2

#TidyTuesday Week 38 - FIDE Took what I know about ELO ratings and made a beeswarm 🐝 to compare Masters and players (like me) near the 1000 ELO mark. Also added a reference section to my script to 'cite' what scripts I looked at. Maybe it'll catch on #Rstats #dataviz Code github.com/nvietto/Tidy...

Which countries have must rated chess players per age group? ♟️ India rising to the top in the youngest age groups. #TidyTuesday github.com/borstell/tid... #R4DS #DataViz #ggplot2

For this week's #TidyTuesday chess player rating data, I made an annotated barcode plot to show the distribution of age by title ♟️ It was hard to set a good transparency level for the lines since there's such a difference between the number of male and female players 📊 #RStats #DataViz #ggplot2

I need you to know that your contribution, your voice, your perspective, your way of explaining something, YOUR whatever, is valuable. Just because "it's been done before" doesn't mean you shouldn't do it. Nothing is new, everything's been done! But not by you. Yet. #databs #rststs #python

Henley passport index data for #tidytuesday week 36. #dataviz #rstats

Australian Frogs 🐸🐸 for #TidyTuesday, Week 35. #rstats #dataviz #ggplot2 #figma

Frog calling patterns (as recorded by app users) for this week's #tidytuesday Highly recommend curating data if you haven't already - I thought it would be tricky but it was straightforward! Just follow these steps dslc-io.github.io/tidytuesdayR... Code: jessjep.github.io/blog/posts/t... #frogID

#Tidytuesday on the last day of the week.. I explored the gender composition of Billboard #1 songwriters and artists over time. Code: jessjep.github.io/blog/posts/t... #figma #dataviz

Updated every month: Access the raw datasets behind every #dataviz we've ever released online. The IIB Data Room. 500+ sheets, 1200+ datasets. Continually updated. informationisbeautiful.net/data/

Learned a bit of Gaelic for this week's #tidytuesday. There are many names and variations of names for "mountain", "hill", "peak", "point", etc. I used this site to help me classify them: cuhwc.org.uk/resources/me... Code: jessjep.github.io/blog/posts/t... #ggplot2 #dataviz

#TidyTuesday week 22 - Project Gutenberg. A bar plot showing the authors with ebooks in the most number of languages. Code: jessjep.github.io/blog/posts/t... #ggplot2 #rstats #projectgutenberg

It was nice to find some time for #TidyTuesday since starting a new job last month and having far less free time. As usual I may have overcomplicated things, but I plotted strength vs intelligence by alignment, and made an interactive version: jessjep.github.io/blog/posts/t...

#TidyTuesday Week 16 - 420 Data. In the grand scheme of things, April 20 seems unimportant. Code: jessjep.github.io/blog/posts/t... #dataviz #rstats #ggplot2

#30DayChartChallenge a little bit late for Day 7 - Outliers. All chess GMs are outliers really, but among his compatriots, Magnus Carlsen is truly leagues ahead. Tried out #tidyplots for this one :)

#30DayChartChallenge Day 6 - Florence Nightingale. Inspired by a family member's recent trip to the ER. This data is probably better presented as a line chart, but I got to practice using {patchwork} and coord_radial.

#30DayChartChallenge Day 5 - Ranking. Reposting a Tidy Tuesday from a couple of weeks ago :)

#30DayChartChallenge Day 4 - Big or Small? First Nations people in Australia make up a small percentage of the total population. But their level of day-to-day psychological distress is disproportionately large.

#30DayChartChallenge Day 3 - Circular. A follow-up to my slope chart. Women have a higher percentage of self-reported mental health problems, but they also more commonly seek help.

#30DayChartChallenge Day 2 - Slope

#30DayChartChallenge Day 1 - Fractions

#TidyTuesday - Week 13 - Pokemon. Not sure where I was going with this - I tried to get creative! The second image is an attempt at data art. It's the same data ordered by descending HP. Code: github.com/jessjep/tidy... #rstats #ggplot2 #dataart #pokemon