⏳ Early Bird Tickets End This Sunday! Don’t miss out! The Early Bird sale for Compute! Paris 2026 ends on Sunday, June 28th. Grab your discounted tickets now and save your spot at the first edition of this exciting event. compute.events/paris2026/ti...

Catching up on previous #TidyTuesday data challenge: "One Million Digits of Pi" Here, I turned the first 3,141 digits of π into a spiral... Each digit is printed in place, with prime digits shown larger to reveal the hidden radial ridges in the sequence... #DataViz #RStats #ggplot2 #Pi

I couldn’t settle on one chart, so I’m posting the 4 attempts... This week’s #TidyTuesday explores Ireland’s Wreck Inventory: mapped wreck density, seasonal patterns, and words used to describe loss at sea. #DataViz #RStats #ggplot2

Let's dive into ships wrecks for this week TidyTuesday with Gribouille for Typst. #Typst #Gribouille #TidyTuesday

An experimental chart for #TidyTuesday this week on the topic of shipwrecks around Ireland! Putting time on the y axis to create a very long static scrolly chart with lots of annotations 📊 ft. bubble effect for points #RStats #ggplot2 #DataViz

This week's #TidyTuesday maps shipwrecks off Ireland, from the Wreck Inventory of Ireland Database Code: github.com/gkaramanis/t... #RStats #dataviz

This week's #TidyTuesday is about Crossref metadata quality. I made a table showing how well the top 20 countries by journal article volume document their research Made with {gt} Code: github.com/gkaramanis/t... #RStats #dataviz

This week's #TidyTuesday looks at maternity leave across Europe: How many weeks before and after birth, and how much is mandatory vs voluntary. Ireland leads at around 40 weeks total, the UK at just 2.

Heute ist Vatertag - und mit großer Wahrscheinlichkeit der Tag mit den meisten Verkehrsunfällen unter Alkoholeinfluss in diesem Jahr. Daten: Statistisches Bundesamt Tool: R und #ggplot2 Also: Don’t drink and drive - außer im Bollerwagen.

The spike in that #accidentalart meant something! Taking a closer look at the deadliest day in Ireland's shipwreck history for this week's #TidyTuesday. Made in #ggplot2, greatly inspired by @ansgarw.bsky.social past work. Edited in Figma for the final highlights. #RStats #DataViz

Before publishing a chart, ask 3 questions: 1. Is it complete? 2. Is it easy to read? 3. Can the reader trust it? That’s the idea behind this GoldenViz cheat sheet: 25 practical rules to make charts clearer, cleaner, and more honest. #DataViz #Python #TidyTuesday #DataScience

A simple map for #TidyTuesday 2026 week 26 on Ireland shipwrecks. Code: github.com/rajodm/TidyT... #dataviz #rstats #ggplot2

📊 #TidyTuesday – 2026 W26 | Wreck Inventory of Ireland . 🔗: stevenponce.netlify.app/data_visuali... . #rstats | #r4ds | #dataviz | #ggplot2

My submission for #TidyTuesday, Week 26 on Wreck Inventory of Ireland. I explore number of wrecks by month. Code: github.com/mitsuoxv/tid...

Recently found this excellent R best practices cheat sheet by Jacob Scott. You can find the original cheat sheet here: github.com/wurli/r-best... #rstats #datascience #programming #statistics #rprogramming

From Leo XIII to Leo XIV: shared words, different weight. For this week’s #TidyTuesday, I compared vocabulary in two papal encyclicals: Rerum Novarum (1891) and Magnifica Humanitas (2026). #DataViz #RStats #ggplot2

We need to bring back Open source knowledge as a central pillar of humanity's progress... Sharing knowledge, software, educational material..etc should never be behind a paywall!

Networking at Compute! Paris 2026 (Nov 25-26) isn’t about exchanging business cards, it’s about exchanging ideas. Connect with people who are solving the same problems as you, in ways you haven’t thought of. compute.events/paris2026/ #ComputeParis

it took me a while to polish this course/book, but I'm happy it finally came to light the 25 Golden Rules of Data Visulization 👇 #30DayChartChallenge #DataViz

Code from the figure now online. (Gribouille 0.4.0 soon on Typst Universe) Check it out at mickael.canouil.fr/posts/2026-0... #Typst #DataViz

Starting the educational communication with @goldenviz.bsky.social library... they are 25 rules, and now we start with just 5 ! Learn more about the library and the book 👇 goldenviz.org/en/ #30DayChartChallenge #DataViz #DataScience #DataAnalytics

📣 I’m happy to share the first stable release of GoldenViz: v0.1.1. This project started from my teaching: I wanted a more systematic way to help students review charts, explain what is wrong, and connect feedback to clear data visualization principles. goldenviz.readthedocs.io

Walking around Rennes, capital of Bretagne 𝍎𝌆 🇫🇷 I stepped into the "Musée des Beaux-Arts" (mba.rennes.fr) and stumbled upon 3 Picasso masterpieces in the most unexpected setting... and stumbled upon 3 Picasso masterpieces in the most unexpected setting....

I’m finally wrapping up the #30DayChartChallenge. I managed to create 11 visuals (not 30 but more than I ever did). I mostly wanted to uplevel my #Svelte + #D3 skills for interactive charts. Of course I used AI, but mostly as a coding buddy not for vibe coding. Link to project below 👇

Accessing cash is getting harder. The number of ATMs has declined substantially in almost all Local Authorities in England in the past five years. Across the UK ATM numbers have fallen continuously since 2015. 💷 📉 One last #Dataviz for #30DayChartChallenge Day 11 | Physical. Made in Svelte + D3

my talk last week at the Paris Machine Learning meetup, wrapped up in a little blogpost here 👇 medium.com/p/97e5e42ace27 #agenticAI #LLM #GenAI #Agents

Un resumen de mi participación en el #30DayChartChallenge 2026 :)

#30DayChartChallenge Day 10 | Pop Culture. Top 20 books of 2025 by genre & publish date, according to Readers’ favourites on Goodreads. 📚📖 Most romance novels were published in spring/summer. Nonfiction books have the longest book titles and Fantasy books lead in terms of total pages. #Dataviz

April might be over, but I still got a loot of gaps to fill. #Dataviz for #30DayChartChallenge Day9 - Wealth. Who has savings? 💷💷💷 Young people are least likely to have a lot of savings. But even as people age, there's still a notable proportion of older people who have very little.

The median age of astronauts increased by 11 years between the 1960s and 2010s. This reflects a shift from the era of young military test pilots to modern crews of seasoned commanders and specialized scientists. #30DayChartChallenge | Day 25 - Space #ggplot2

After the end of the #30daychartchallenge, this one is a labor day quick post, out of my #dataViz course! wajdix.blogspot.com/2026/05/7-ch...

Since the RSF World Press Freedom Index 2026 is out, here's an update of my Day 6 entry, for #30DayChartChallenge #Day17 - Remake Code: github.com/rajodm/30Day... #dataviz #rstats #ggplot2

Very late submission for #Day10 of #30DayChartChallenge. I studied the distribution of views of shows of #Netflix and visualized the Top 10. #DataScience #DataVisualization #Rstats #ggplot @30daychartchall.bsky.social

#30DayChartChallenge Day 29+30: Monochrome + Data from the Global Health Data Exchange #DataViz #BreastCancer is one of the leading causes of mortality in #women across the world and health systems play a huge role in screening, diagnosis, and treatment🩷

@30daychartchall.bsky.social #Day30 #30DayChartChallenge Final chart/prompt. GHDx offers a human-factors lens on Brazil-Europe long-haul flights and "human clocks". The asymmetry is an eye-catcher: Brazil -> Europe: 13% of arrivals inside the Window of Circadian Low (WOCL). Europe -> Brazil: 30%.

#Day30| Uncertainties – Data Day – Global Health Data Exchange | #30DayChartChallenge | Life Expectancy at Birth — Latin America & Caribbean. Built with #RStats using #ggplot2, #patchwork, #scales, #grid, #gridExtra and #tidyr.

#Day28: Modeling None of the three largest emitting nations are on track, or even pledging to meet the 1.5°C climate target of the Paris agreement, show projections. #30DayChartChallenge #dataviz

#day29 of #30DayChartChallenge, (almost) Monochrome code: github.com/gkaramanis/3... #RStats #dataviz

#30DayChartChallenge Day 25 : #Space Race to the moons! 🏁 🌝 🪐🪐 #Saturn and #Jupiter used to have roughly the same number of known moons but Saturn has taken the lead and is now quite far ahead. Maybe Jupe will catch up someday These are the satellites as officially recognized by the IAU #Rstats

Japan was rising as an economic superpower in the 1980s, but lost momentum over the decades. What if that momentum never slowed? #30DayChartChallenge: Day 28 | Modeling #DataViz #Rstats #ggplot

#Day29 | Uncertainties – Monochrome | #30DayChartChallenge | . Coffee Price Forecast — Holt-Winters (HW) Built with #RStats using #forecast, #ggplot2, #dplyr, #lubridate, #scales and #tidyr.

Day 29 · #30DayChartChallenge · Monochrome 165 students guessed the sweets in a jar. Only 15% got within ±10% of the truth. Nearly 1 in 3 was off by more than half. And most of them felt confident. The humbling geometry of being wrong. #rstats #dataviz #statistics #teaching

#day28 of #30DayChartChallenge, Modeling code: github.com/gkaramanis/3... #RStats #dataviz

Day 29 — Monochrome Each dot represents a living animal. 9 critically endangered land vertebrates remain—2,370 individuals worldwide. The two highlighted dots are Najin and Fatu, the last Northern white rhinos, both female, signifying functional extinction. #30DayChartChallenge #rstats

Day 28 · #30DayChartChallenge — Uncertainty 165 students guessed the sweets in a jar. 119 were confident they knew the answer. 119 were wrong in the same direction. One jar. One bias. One very good first stats class. 🍬 #rstats #dataviz #statistics #teaching

La ilusión de la normalidad. Simulando 1000 futuros del S&P 500. El GBM subestima el riesgo extremo; el GARCH(1,1)-t revela el abismo de los Cisnes Negros y el volatility clustering. 📉🦢 #30DayChartChallenge #Day28 #rstats #dataviz

📊 #30DayChartChallenge 2026 – day 28 . Uncertainties | Modeling . 🔗: stevenponce.netlify.app/data_visuali... . #rstats | #r4ds | #dataviz | #ggplot2

For #Day27 #30DayChartChallenge `animation` prompt, we used a **split-screen corridor clock** . We walk over the busiest airport-pair corridors in our study; columns show `UTC` hours, the lower step line shows sum of corridor traffic. Take-away: Brazilian and European networks "tick differently".

#Day26: Trend Iced matcha, hojicha latte.. Japan's green teas are the trend in cafes around the world. But at home, both consumption and production are falling, while exports rise to match the growing demand abroad. #30DayChartChallenge #dataviz

#day27 of #30DayChartChallenge, Animation If you squint hard enough, you can see it moving code: github.com/gkaramanis/3... #RStats #dataviz