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Reposted by Cédric Vidonne

Vincent Arel-Bundock @vincentab.bsky.social · 9d

{tinytable} 0.14.0 for #RStats makes it super easy to draw tables in html, tex, docx, typ, md & png.

There are only a few functions to learn, but don't be fooled! Small 📦s can still be powerful.

Check out the new gallery page for fun case studies.

vincentarelbundock.github.io/tinytable/vi...

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Guillaume Noblet @gnoblet.bsky.social · 16d

🚀 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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Thomas Lin Pedersen @thomasp85.com · 27d

I am beyond excited to announce that ggplot2 4.0.0 has just landed on CRAN.

It's not every day we have a new major #ggplot2 release but it is a fitting 18 year birthday present for the package.

Get an overview of the release in this blog post and be on the lookout for more in-depth posts #rstats

ggplot2 4.0.0

A new major version of ggplot2 has been released on CRAN. Find out what is new here.

www.tidyverse.org

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Cédric Vidonne @cvidonne.bsky.social · 28d

Couldn’t resist doing the same for countries of asylum.

Turns out the picture is way more stable, with a few ups and downs.

Bump chart faceted by world regions showing the top countries of asylum for refugees, asylum-seekers, and others in need of international protection. Overall patterns are stable, with some short-term ups and downs across regions.

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Cédric Vidonne @cvidonne.bsky.social · 28d

Inspired by @nrennie.bsky.social excellent #TidyTuesday plot on the power of passports, I adapted the idea to look at refugee origins.

This chart ranks countries of origin of refugees, asylum-seekers, and others in need of international protection, grouped by region.

#RStats #ggplot2 #Refugees

Bump chart faceted by world regions showing the top countries of origin of refugees, asylum-seekers, and others in need of international protection. Asia and Africa rank consistently high, driven by long-term crises such as Afghanistan and Sudan. The Americas and Europe also appear high due to more recent crises in Venezuela and Ukraine.

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Kyle Walker @kylewalker.bsky.social · Aug 28

Learned today about @OpenFreeMapOrg - free, high-quality vector tiles for your maps and apps!

Use them in #rstats with mapgl by passing the URL to the style param, e.g.:

maplibre(style = "tiles.openfreemap.or...")

Styles include "positron", "bright", and "liberty" with 3D!

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Cédric Vidonne @cvidonne.bsky.social · Aug 26

Feeling you on this — {unhcrthemes} is in the same dependencies nightmare right now.

Cédric Vidonne @cvidonne.bsky.social · Jun 18

Just published: our new data story on efforts to protect South Sudan’s most vulnerable — including children, women, and persons with disabilities.

Explore how protection monitoring and partnerships are making a difference: dataviz.unhcr.org/product-gall...

#refugees #unhcr #protection

Protecting the most vulnerable in South Sudan

Assessing a Complex Crisis through Protection Risks Analysis

dataviz.unhcr.org

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Cédric Scherer @cedricscherer.com · May 12

Excited to launch "ggplot2 [un]charted" with @yan-holtz.bsky.social! 🎉

An online course to master #ggplot2 with exercises, quizzes, and modules—and hands-on code running in your browser!

Still WIP—sign up now for a limited discount:
👉 www.ggplot2-uncharted.com

#rstats #DataViz #DataVisualization

The landing page of the course "ggplot2 uncharted" with the title teasing it with "Master Data Visualizations with ggplot2".

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Andrew Heiss @andrew.heiss.phd · Apr 18

Thing I just learned in #rstats: unz() lets you connect to a .zip and load files from inside it without actually unzipping it (great for a file I'm working with that's 30 MB zipped and 1+ GB unzipped, with multiple CSVs in it)

# unz() lets you connect to a .zip and treat it like a mini file system,
# and you can load files from inside it
one_zipped_csv_among_others <- readr::read_csv(
unz("lotsa_zipped_csvs.zip"), "one_csv.csv"
)

# readr::read_csv() can read a .zip with a single CSV in it
one_zipped_csv <- readr::read_csv("big_zipped_file.zip")

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Françoise Bahoken @fbahoken.bsky.social · May 7

Géovisualisation de flux de migrants internes à la zone endémique paludéenne africaine, à partir des données du @worldpop-uos.bsky.social
Réalisée avec #Arabesque dans #Neocarto #flowmap
🔗 neocarto.hypotheses.org/21980

Flux de migrants en zone endémique paludéenne (2016)

Le site du World Population Project propose depuis quelques années au téléchargement, un jeu de données intéressant sur les flux de migrants internes à la zone endémique paludéenne africaine. Je me su...

neocarto.hypotheses.org

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Cédric Vidonne @cvidonne.bsky.social · Apr 18

Sudan: Two years already.
Millions displaced. Needs rising. Attention fading.
📊 See the full data story: shorturl.at/wn8HU
#Refugees #dataviz #unhcr

Sudan: Crisis deepens but attention wanes after two years of war

An unprecedented displacement crisis

shorturl.at

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Cédric Vidonne @cvidonne.bsky.social · Apr 5

The Learning Divide

Our latest data story explores the stark educational challenges facing refugees in Mauritania and Mexico.

Explore the full story: dataviz.unhcr.org/product-gall...

#refugees #education #unhcr #dataviz

Mona Chalabi illustration for the UNHCR 2024 education report showing a pile of books that refugees children are climbing while learning and playing.

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Nicolas Lambert @neocarto.bsky.social · Mar 20

One day, one map
Far from the reality of state control
#Migrations #Cartography #Walls #Deaths #Camps #Borders
Source: Migreurop, 2022

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Giles @gdeejay.bsky.social · Mar 14

Behold #rstats:

My (draft) variable naming standard
😎

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Andrew Heiss @andrew.heiss.phd · Feb 22

One more bonus update with two changes:

1. A diverging color palette centered at 4% lets us see which counties are doing great or doing poorly
2. That size legend was spaced funnily, but we can make it more compact with {legendry}

#rstats

www.andrewheiss.com/blog/2025/02...

Map of the US showing the difference between each county's unemployment rate and the Federal Reserve's 4% target, using colored points sized by county labor force

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Gregor Aisch @driven-by-data.net · Feb 27

For the German election we wanted to use a cartogram of German election districts but didn't find anything good, so we created our own. Here's a little nerd thread how the final algorithm worked 🤓 🧵 #gis #cartogram #election #datavis #cartography

Cartogram of 299 German election districts

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hrbrmstr 🇺🇦 🇬🇱 🇨🇦 🏳️‍🌈 @hrbrmstr.dev · Feb 19

Datawrapper (@datawrapper.de) has some cool new charts (def check them out)! One being these comparison bars.

Here's one way to do it in #RStats #ggplot2

blog.datawrapper.de/comparison-c...

ray.so/KDVci6B

Datawrapper version of a bar chart titled “U.K. election results 2024” shows party vote shares. Labour leads with 35.3% across the U.K., followed by the Conservatives at 23.7%. Reform UK has 14.3%, Liberal Democrats 12.2%, Greens 6.7%, and Others 6.8%. The Scottish National Party (SNP) reaches 30% in Scotland, translating to 2.5% of the total U.K. vote.

ggplot2 version of a bar chart titled “U.K. election results 2024” shows party vote shares. Labour leads with 35.3% across the U.K., followed by the Conservatives at 23.7%. Reform UK has 14.3%, Liberal Democrats 12.2%, Greens 6.7%, and Others 6.8%. The Scottish National Party (SNP) reaches 30% in Scotland, translating to 2.5% of the total U.K. vote.

R code readabale @ https://ray.so/KDVci6B

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Andrew Heiss @andrew.heiss.phd · Feb 10

New blog post! After archiving USAID data last week, I decided to play around with and recreate parts of the ForeignAssistance dot gov dashboard with #QuartoPub and #ObservableJS. I learned a ton about D3 projections and making pretty Javascript plots #dataskyence www.andrewheiss.com/blog/2025/02...

Screenshot of an interactive world map using the Robinson projection showing 2023 aid commitments in each country

Western Europe mapped with a cropped Robinson projection with labels for each country

Egypt mapped with a cropped Robinson projection with labels for each country

Table of contents for the post:

Working with map data
Get map data
Maps and projections with Observable Plot
Built-in projections
Other projections
Filtering map data and adjusting projections
Removing elements
Quick and dirty cheating method: change the width or height
Built-in projections and domain settings
Other projections and .fitExtent()
Arbitrary areas and .fitExtent()
Working with USAID data
Get USAID data
Connect USAID data to the map data
Improving the map
Fixing labelling issues
Some final tweaks
The full game: Complete final code

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Le Cartographe 🗺️🍷 @lecartographe.bsky.social · Feb 10

Selon “The New York Times”, le gouvernement de Donald Trump veut réduire les effectifs de l’Agence des États-Unis pour le développement international à moins de 300 personnes, contre plus de 10 000 actuellement.
Source : www.courrierinternational.com/article/etat...

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Thomas Lin Pedersen @thomasp85.com · Jan 28

If you have used #ggplot2 in the last couple of years you owe a great deal to @teunbrand.bsky.social who is behind most of the new features and fixes.

Read about his journey to become a part of the ggplot2 core team here:

Joining the ggplot2 team - Tidyverse

I joined the ggplot2 team and would like to share the experience.

www.tidyverse.org

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Will Gearty @willgearty.bsky.social · Jan 31

📢 rredlist 📦 1.0.0 is now on #CRAN!!!

- upgrade to API v4 🤖
- handles API timeouts ⌚
- progress bar for multi-page queries 🚧
- IUCN color palette scales for ggplot2 🏳️‍🌈
- research pipeline and benchmarking vignettes 📄
- new logo 🦏

Docs 👉 docs.ropensci.org/rredlist/ind...

#rstats #iucn #redlist #api

IUCN Red List Client

IUCN Red List (<https://api.iucnredlist.org/>) client. The IUCN Red List is a global list of threatened and endangered species. Functions cover all of the Red List API routes. An API key is required.

docs.ropensci.org

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We Are R-Ladies @weare.rladies.org · Feb 3

Happy #Monday! Here’s something fun to get the week off to a good start!

🔮 What R package would you be based on your #zodiac sign?

Let me know if these resonate! 👀✨ #rstats #rladies

🧵👇 (1/13)

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Jakub Nowosad @jakubnowosad.com · Jan 29

🚨 After years of development, the new version of #rstats tmap (4) is now available on CRAN! 🎉 Huge thanks to author Martijn Tennekes and all contributors.

🔧 Install: `install.packages("tmap")`
📚 Vignettes: https://buff.ly/4aAYNbq
📖 Book Chapter: https://buff.ly/43TokaF

#maps #tmap #rspatial

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Teun van den Brand @teunbrand.bsky.social · Jan 28

I wrote a bit about what it was like for me to join the tidyverse team to maintain ggplot2!

Thomas Lin Pedersen @thomasp85.com · Jan 28

If you have used #ggplot2 in the last couple of years you owe a great deal to @teunbrand.bsky.social who is behind most of the new features and fixes.

Read about his journey to become a part of the ggplot2 core team here:

Joining the ggplot2 team - Tidyverse

I joined the ggplot2 team and would like to share the experience.

www.tidyverse.org

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