Lmst

A quick treemap for this week's #TidyTuesday data about APIs! 🌳

📊 Built with {treemapify} package in #RStats
🎨 Colours (sort of) based on brands
✍️ Coloured text and icons with {ggtext}

Code: https://github.com/nrennie/tidytuesday/tree/main/2025%2F2025-06-17

#DataViz #ggplot2

Treemap showing number of APIs provided by different companies. Amazon, Google, and Microsoft dominate.

📊 #TidyTuesday – 2025 W24 | APIs specs
.
🔗: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2025/tt_2025_24.html
.
#rstats | #r4ds | #dataviz | #ggplot2

Two-chart visualization showing API maintenance crisis. Top scatter plot reveals 40% of APIs (1,011 red dots at bottom) are never updated after publication, while 60% (1,518 gray dots) receive updates over time from 2016-2022. Bottom bar chart shows provider-specific abandonment rates, with companies like Xero.com, Vtex.local, and government sites showing 100% abandonment, while Amazon has the lowest rate at 21.8%.

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/114693336598179350

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Curator: @jonthegeek
https://DSLC.io welcomes you to week 24 of #TidyTuesday! We're exploring API Specs!

📁 https://tidytues.day/2025/2025-06-17
📰 https://dslc-io.github.io/club-wapir/slides/intro.html

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results!
TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club!

How to Participate
Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data.
Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data.
Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language.
Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.

#TidyTuesday Libros en español del Proyecto Gutenberg. @gutenberg_org

Script: https://vhgauto.github.io/tidytuesday/2025/semana_22.html

#Rstats #Datavisualization #dataviz #Gutenberg

Figura de 79491 puntos en arreglo de grilla, cada uno representa un libro, de los cuales 909 son en español.

📊 #TidyTuesday – 2025 W23 | U.S. Judges and the historydata R package
.
🔗: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2025/tt_2025_23.html
.
#rstats | #r4ds | #dataviz | #ggplot2

Stacked bar chart showing federal judicial appointments 1960-present by race and gender. Demonstrates significant increases in both racial diversity and female representation across all groups, with White appointments showing the largest absolute numbers but all groups showing growing gender diversity over time.

From shower idea to #Shiny app in two days. 😅 A little late for last week’s #TidyTuesday but I couldn’t stop myself from adding a bit more! Movable Data Type explores Project Gutenberg data across different storage backends, comparing structure and performance, running custom queries, and visualizing distributions. #RStats #SQL https://jmclawson.shinyapps.io/movable-datatype/

Screenshot of Shiny app Movable Data Type, showing structure and performance comparisons using Parquet files, duckDB, SQLite, and MySQL

Another #RStats + D3.js combination for this week's #TidyTuesday!

🪢 Data wrangling in R
💾 Combining data from {historydata} and #ggplot2
📊 Timeline bar chart + tooltips built with #D3

Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-06-10

#DataViz

A timeline bar chart showing U.S. presidents from 1947 to 2014. Each bar spans their time in office and is coloured by party—blue for Democratic, red for Republican. Bar height represents the number of nominations, ranging from 67 to 387.

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/114653750345507037

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

U.S. federal judges over time #tidytuesday

Curator: @jonthegeek
https://DSLC.io welcomes you to week 23 of #TidyTuesday! We're exploring U.S. Judges and the historydata R package!

📁 https://tidytues.day/2025/2025-06-10
🗞️ https://ropensci.org/blog/2023/02/07/what-does-it-mean-to-maintain-a-package/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

For #TidyTuesday this week I learnt how to make word clouds in R.

And I also followed @nrennie explanations for adding social media icons.

https://nrennie.rbind.io/blog/adding-social-media-icons-ggplot2/

Thank you!

Code: https://github.com/cvives/tidy_tuesday/tree/main/tt_20250603

#llibres

📊 #TidyTuesday – 2025 W22 | Project Gutenberg
.
🔗: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2025/tt_2025_22.html
.
#rstats | #r4ds | #dataviz | #ggplot2

Beeswarm plot comparing lifespans of English vs non-English authors across three centuries for Project Gutenberg. Each dot represents one author, with blue dots for English authors and pink for other languages. Shows dramatic increase in English-language authors in the 19th century, with relatively consistent longevity patterns except for 20th century where English authors lived longer on average.

Exiting times in @ropensci coworking!

We coworked, chatted about the @DSLC, learned about the tidytuesdayR (https://dslc-io.github.io/tidytuesdayR/index.html) package for helping the DSLC create more #TidyTuesday data sets, and had fun!

Resources: https://docs.google.com/document/d/19YUnde97lcU822IAucRLpEy5AVH8mBu6ICf6Uk88WKo/edit?usp=sharing

Join us next month July 1st 2025, 9:00 Americas Pacific (16:00 UTC), theme "Research Software Engineering and R" with Saranjeet Kaur Bhogal and @yabellini.

More coworking: https://ropensci.org/coworking/

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/114614053943520613

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Simple waffle chart for #TidyTuesday this week where we're looking at Project Gutenberg data!

📊 Data wrangling with #RStats
🧇 Waffle chart / pictogram built with D3
🪄 Icons from Font Awesome and re-coloured with D3 magic

Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-06-03

#DataViz

Pictogram showing 100 book icons arranged in a 10x10 grid. 80 of the icons are coloured red showing the percentage of books in English.

Curator: @jonthegeek
https://DSLC.io welcomes you to week 22 of #TidyTuesday! We're exploring Project Gutenberg!

📁 https://tidytues.day/2025/2025-06-03
🗞️ https://www.gutenberg.org/about/background/50years.html

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

It's been a minute, but finally found some time for coding. In this week's #Tidytuesday we see the alignment of the DND monsters separated by type all on a parchment for it to look old.

#rstats #dataviz
PS. Credit for the parchment background goes to https://www.deviantart.com/jojo-ojoj

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/114574401203969776

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

For this week's #TidyTuesday, we're looking at Dungeons and Dragons monsters!

📊 Obviously had to make a small multiple alignment chart
🔍 Magnified version to show labels
❓ Radar charts: the chaotic evil of chart types alignment?

Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-05-27

#RStats #DataViz #ggplot2

#TidyTuesday

Client Info