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Guillaume Noblet @gnoblet.eurosky.social · 15/10/2026

En cours de production : une carte imaginaire de vie en collectif. Ici, l'Atoll des miettes de pain et une ville nommée Epongeville. #rstats #ggplot2 #dataviz

Un bout de carte imaginaire avec l'atoll des miettes de pain et une ville qui s'appelle Epongeville

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Guillaume Noblet @gnoblet.eurosky.social · 30/09/2026

Yet another late #TidyTuesday with a detailed map for #Week35. Heavily inspired by reading @Le Monde Diplomatique and The Economist colouring. Link: gnoblet.codeberg.page/TidyTuesday/... #ggplot2 #naturalearth #rstats #dataviz #map

A map of France's landmark based on the Castlemap dataset and wikidata.

The 15 most famous landmarks are emphasized with labels and diamonds. Paris with many landmarks is zoomed in in a loupe.

There is a violding/raincloud/boxplot that shows when were different categories built: Fortress, Palace, Ruin and Castles.

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Guillaume Noblet @gnoblet.eurosky.social · 29/09/2026

How long does a barista work to afford a small cappucino in their own café? Another #TidyTuesday from a few weeks back (week 36) with a detailed walkthrough. Playing with sine and cosine, long time no see, yay! Code: gnoblet.codeberg.page/TidyTuesday/... #ggplot2 #rstats #dataviz

A crema-coloured spiral chart. Each coloured bean is a country, placed at the minutes a barista works to afford a small cappuccino: Australia at 10 minutes near the top of the outer rim, most of Europe and North America within the first half hour, and Pakistan at 4 hours 37 minutes near the centre. Bean colour shows region and bean size the number of cafés surveyed.

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Guillaume Noblet @gnoblet.eurosky.social · 23/09/2026

hey hey, I'm back with a quick #TidyTuesday contribution 🌳 Which European cities gained the most green space per person since 1990? A dumbbell chart of the top 10, ranked by how green they are today. Data: UN-Habitat #TidyTuesday #dataviz #ggplot2 #rstats Link: gnoblet.codeberg.page/TidyTuesday

Dumbbell chart showing green area per capita in square meters for ten
European cities in 1990 and 2025, ordered from most to least green today.
Bereźniki, Russia tops the list at 26.6 m² per resident in 2025, up from
10.2 m² in 1990, followed by Gijón, Spain (3.8 to 19.5 m²) and Messina,
Italy (5.5 to 18.8 m²). Every city shown at least doubled its green space
per person over the 35-year period, with Siracusa, Italy posting the
smallest increase, from 1.1 to 3 m².

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Guillaume Noblet @gnoblet.eurosky.social · 16/09/2026

Here is my latest: run and test your actions locally for Forgejo/Codeberg. This is a early first version and quite experimental atm, althouth it works well for my use cases. Link to website (Hugo with theme Hextra): gnoblet.codeberg.page/fj-act/ This is a deviating fork of: github.com/nektos/act

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Guillaume Noblet @gnoblet.eurosky.social · 02/09/2026

I've just updated and revised my website: guillaume-noblet.com Note: I had fun adding this small color picker on the top right, and this laserish border drawing on hover! Still made with #svelte

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Guillaume Noblet @gnoblet.eurosky.social · 09/04/2026

I forgot to say but before this #circle-pack chart implemented in #d3 x #svelte, I draw the whole app #wireframe with @excalidraw.com! #dataviz #excalidraw

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Guillaume Noblet @gnoblet.eurosky.social · 09/04/2026

I've got no time to participate to the #30DayChartChallenge this year... Or maybe I will pop up at some point, who knows! Yet, #dataviz is around! Current job consists of producing a #Svelte x #d3 x #typescript app that is full of circle packing, donut, map, jittered scatter charts.

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Guillaume Noblet @gnoblet.eurosky.social · 12/11/2025

Days 08 and 11 of #30DayMapChallenge bridged into one: I minimally represented urbanism via the non-urban fabric of the Geneva area. Decided it was minimal although not that much. Code: guillaume-noblet.com/30DayMapChal... #ggplot2 #dataviz #maps #rstats

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Guillaume Noblet @gnoblet.eurosky.social · 11/11/2025

#Day07 of #30DayMapChallenge on Accessibility This map shows the time needed to cycle from Bains des Paquis (a popular fondue and sauna place in Geneva) 🆕 1st time use of the `osmr` package to define #isochrones. Gallery: guillaume-noblet.com/30DayMapChal... #dataviz #rstats #ggplot2 #gis #map

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Guillaume Noblet @gnoblet.eurosky.social · 08/11/2025

For Day 06 of the #30DayMapChallenge, I used: 📖 Wikipedia retrieving tallest building list with `rvest` 🏔️ `tidyterra` to retrieve elevation shades 🔮 Refined top buildings's labels and lines with `ggrepel` Code: guillaume-noblet.com/30DayMapChal... #rstats #gis #dataviz #ggplot2 #terra

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Guillaume Noblet @gnoblet.eurosky.social · 07/11/2025

Day 05 of #30DayMapChallenge on Earth (Classical Elements 1/4) I've discovered and used the new `tmap.mapgl` to show Swizerland's elevation. It's mindblowing how easy it is. guillaume-noblet.com/30DayMapChal... #dataviz #rstats #tmap #gis #mapgl cc @mtennekes and thanks!

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Guillaume Noblet @gnoblet.eurosky.social · 06/11/2025

I did publish Day 04 of #30DayMapChallenge on a Microsoft owned platform too! With a bit of tweaking the theme. Code: guillaume-noblet.com/30DayMapChal... #rstats #dataviz #map #ggplot2 #gis #fedora

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Guillaume Noblet @gnoblet.eurosky.social · 05/11/2025

Here it is :) guillaume-noblet.com/30DayMapChal...

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Guillaume Noblet @gnoblet.eurosky.social · 05/11/2025

Oh, and btw here is a live gallery for the challenge with scripts: guillaume-noblet.com/30DayMapChal...

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Guillaume Noblet @gnoblet.eurosky.social · 05/11/2025

Day 03 of #30DayMapChallenge with a density choropleth and quantiles! 👏 Thanks to @Benjamin Novak's tutorial in @yan-holtz.bsky.social gallery r-graph-gallery.com/web-map-chor... 🌚 Used data from the Observatoire Statistique Tranfrontalier #rstats #dataviz #map #ggplot2 #gis

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Guillaume Noblet @gnoblet.eurosky.social · 04/11/2025

Day 02 of #30DayMapChallenge with a few Swiss river lines 🙏 Followed @milos-makes-maps.bsky.social's tutorial 🆕 Added a halo layer under the lines layer ✨ 1st time I plotted a river system #ggplot2 #rstats #dataviz #maps

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Guillaume Noblet @gnoblet.eurosky.social · 03/11/2025

#30DayMapChallenge Here is day 01, showing road accidents in Geneva, Switzerland. #DataViz #RStats #ggplot2

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Guillaume Noblet @gnoblet.eurosky.social · 15/10/2025

#TidyTuesday this week is about the #FAO data for the #WorldFoodDay 📊 Combining `ggbump` and a map to display a ranking, I chose to use IPC data instead and reproduce a chart by David Sjoberg. #rstats #ipcinfo #ipc #fsl #dataviz #map #ggplot2 Code: guillaume-noblet.com/TidyTuesday/

The 15 Countries with the Largest Number of People Experiencing Severe Food Insecurity

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Guillaume Noblet @gnoblet.eurosky.social · 10/10/2025

One of my graph has just entered the "best" section of the r-graph-gallery.com with a tutorial. Featuring a waffle chart for time series, where the subtitle serves as a colorful legend. Thanks a lot to @yan-holtz.bsky.social and @soeundataviz.bsky.social for adding it! #rstats #dataviz #ggplot2

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Guillaume Noblet @gnoblet.eurosky.social · 07/10/2025

#TidyTuesday Week 40 – I mostly just wanted to plot a map! 👉 Code: guillaume-noblet.com/TidyTuesday/ #DataScience #RStats #Geospatial #dataviz

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Guillaume Noblet @gnoblet.eurosky.social · 06/10/2025

#TidyTuesday a week late on Crane Observations at Lake Hornborgasjön, Sweden (1994–2024). 🗓️ Used a heatmap to look at the repeated yearly spring observations 🎷 `ggbranding` to add personal branding github.com/gnoblet/ggbr... 👽 Code: gnoblet.github.io/TidyTuesday/ #rstats #ggplot2 #heatmap #dataviz

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Guillaume Noblet @gnoblet.eurosky.social · 28/09/2025

Two days on e/os from @murena-com.bsky.social and here is the amount of trackers blocked. e/os installed on my #FP5 @fairphone.com

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Guillaume Noblet @gnoblet.eurosky.social · 22/09/2025

🚀 Just released **ggbranding** (v1) – a tiny R package that lets you brand `ggplot2` charts with Font Awesome 7 icons. 📝 Blog: gnoblet.github.io/blog/ggbrand... 💻 Code: github.com/gnoblet/ggbr... #opensource #branding #package #rstats #dataviz #ggplot2

A ggplot2 chart that showcases adding personal branding thanks to the 'ggbranding' package

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Guillaume Noblet @gnoblet.eurosky.social · 16/09/2025

And I used #ggplot2 new v4.0.0 btw, to produce the below graph with the splendid new palette.fill.discrete argument in `theme()`. @posit.co #tidverse #rstats #dataviz

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Guillaume Noblet @gnoblet.eurosky.social · 16/09/2025

🎈 Hey folks! I’ve just released V1 of `SurveyLiteR`, an R package that (hopefully) simplifies survey and KoboTool-based analysis. 🎯 Typical users: data teams in (I)NGOs or UN agencies in need of a toolkit to analyze humanitarian household-survey data. #rstats #humanitarian #survey #datanalysis

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Guillaume Noblet @gnoblet.eurosky.social · 16/07/2025

🌰 Very minor new #quarto blog post on a #Golem #Shiny app I built for accounting expenses in a shared house. 🫛 Blog post is here: gnoblet.github.io/blog/house-e... 🌱 App is available here: gnoblet-house-expenses-accounting.share.connect.posit.cloud #rstats #quarto #website #react #typescript

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Guillaume Noblet @gnoblet.eurosky.social · 25/06/2025

🎨🎨🎨 I just leveled up my #TidyTuesday game with a live gallery (no new viz though, oops) ➡️ Accessible here: gnoblet.github.io/TidyTuesday/ 🏗️ #Quarto website 🐍 #Python + 📈 #Rstats dual-language support with `uv` and `renv` 🤖 GitHub Actions auto-deploys to GitHub Pages 📱 Template for new #DataViz

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Guillaume Noblet @gnoblet.eurosky.social · 21/06/2025

After too much polishing, most likely for nothing, here's a first version of my personal website! gnoblet.github.io 🍲 Happily embedded a #Quarto blog, built light/dark themes, and added a (marvelous, let's be honest) leaf animation 🤲 Feedback and critics more than welcomed!

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Guillaume Noblet @gnoblet.eurosky.social · 20/06/2025

🪗 I just published a quick Quarto website as wrap-up of my first (short) participation to the @30daychartchall.bsky.social ! 🐌 I may slowly produce the huge bunch of missing charts ➡️ Link: gnoblet.github.io/30DayChartChallenge #quarto #dataviz #rstats #matplotlib #ggplot2 #30daychartchallenge

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Guillaume Noblet @gnoblet.eurosky.social · 14/05/2025

🍳🍚 🍲 Ongoing cooking 💻 Learning Vite, Typescript, React, and Tailwind for the 1st time 📊 Embedding Quarto rendered documents for blog posting ✨ Mostly, having fun playing with colors and shapes I get inspiration from @Colas Droin's and @yan-holtz.bsky.social 's personal websites, among others.

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Guillaume Noblet @gnoblet.eurosky.social · 22/04/2025

👏 For the Fossils Day 21 of #30DayChartChallenge, I re-used and expanded my 1st day waffle chart and played with constructing a rectangle legend. 📊 Code: github.com/gnoblet/30Da... #rstats #ggplot2 #dataviz cc @30daychartchall.bsky.social

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Guillaume Noblet @gnoblet.eurosky.social · 21/04/2025

👏 Day 19 of #30DayChartChallenge with prompt Time Series - Smooth Looking at median prices of local rice for countries where currency is XOF---or coded as such in the World Food Programme (WFP) food prices dataset. Code is ⬇️⬇️⬇️ #python #matplotlib #seaborn #dataviz cc @30daychartchall.bsky.social

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Guillaume Noblet @gnoblet.eurosky.social · 14/04/2025

👏 Day 11 of #30DayChartChallenge with prompt Distributions - Stripes Still late and at my own pace and day 10 still missing. 📊 Code: github.com/gnoblet/30Da... #rstats #ggplot2 #dataviz cc @30daychartchall.bsky.social

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Guillaume Noblet @gnoblet.eurosky.social · 13/04/2025

👏 Day 09 of #30DayChartChallenge with prompt Diverging - Distributions I'm late and I got little time these past days. But I eventually decided to go at my own pace and publish when ready. 📊 Code: github.com/gnoblet/30Da... #rstats #ggplot2 #dataviz cc @30daychartchall.bsky.social

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Guillaume Noblet @gnoblet.eurosky.social · 08/04/2025

👏 Day 08 of #30DayChartChallenge Since yesterday I used the HistData package, today is a Hist-ogram of its CRAN downloads in a very cliché medieval theme. 📊 Code: github.com/gnoblet/30Da... #rstats #ggplot2 #dataviz cc @30daychartchall.bsky.social

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Guillaume Noblet @gnoblet.eurosky.social · 07/04/2025

Ooops I was out for a few days. Back with Day 07 of #30DayChartChallenge. Let's use the 'HistData' package playing with fake data to somewhat unveil 1D outliers. 📊 Code: github.com/gnoblet/30Da... #rstats #dataviz #ggplot2 #historyofstatistics #HistData cc @30daychartchall.bsky.social

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Guillaume Noblet @gnoblet.eurosky.social · 03/04/2025

👻 Day 3 with two circular bar plots to rank countries through 2 metrics #30DayChartChallenge! 📊 Code: github.com/gnoblet/30Da... Nota bene: this data is most likely outdated. #rstats #dataviz #ggplot2 cc @30daychartchall.bsky.social

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Guillaume Noblet @gnoblet.eurosky.social · 02/04/2025

🎉 And this is Day 2 of the #30DayChartChallenge For Day 2, I wanted to show slopes of number of refugees and IDPs over time (and others such as asylum seekers). Yet, a line chart would have hidden that IDPs used to not be accounted for. #rstats #dataviz #ggplot2 cc @30daychartchall.bsky.social

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Guillaume Noblet @gnoblet.eurosky.social · 01/04/2025

For #Day1 of #30DayChartChallenge, I tackled comparing proportions over time. Here’s what I came up with: 📊 Code: github.com/gnoblet/30Da... #rstats #dataviz #ggplot2 cc @30daychartchall.bsky.social

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Guillaume Noblet @gnoblet.eurosky.social · 28/09/2024

A second #TidyTuesday on International Mathematical Olympiads. #Rstats #ggplot2 Code (unclean): github.com/gnoblet/Tidy...

A gender glance at international mathematical olympiads. A bar graph of number of female and male contestants followed by a scatterplot of the nimber of female contestants against total number of contestants by country.

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Guillaume Noblet @gnoblet.eurosky.social · 20/08/2024

#TidyTuesday Week 34 and first trial to enter the #dataviz adventure: English Monarchs and Marriages - Differences in age #RStats #ggplot2 (Not cleaned) code: github.com/gnoblet/Tidy...

A scatter plot of the age difference of monarchs and consorts at the time of mariage.

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