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Cédric Vidonne

@cvidonne.bsky.social

Information Management Officer at UNHCR specialized in #DataViz and #maps. Love #rstats stuff, especially making charts with #ggplot2.

74 Posts3487 Follower386 Folgt
Cédric Vidonne@cvidonne.bsky.social · 5mo ago

Data Spotlight: a new series of short, visual stories that highlight one key insight from refugee data in just a few charts. Our first edition explores the history of the Global Compact on Refugees, read it here: dataviz.unhcr.org/product-gall... #Refugees #Dataviz

A brief history of the Global Compact on Refugees in four graphs

Since the adoption of the Global Compact on Refugees (GCR) in 2018, the international community has worked tirelessly to implement it. From making pledges and joining initiatives to attending Global R...

dataviz.unhcr.org

Andrew Heiss@andrew.heiss.phd · 2y ago

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")
Françoise Bahoken@fbahoken.bsky.social · last yr.

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

Andrew Heiss@andrew.heiss.phd · 2y ago

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
Andrew Heiss@andrew.heiss.phd · 2y ago

Bonus update! Choropleths are still visually distorted and overrepresent land, so we can instead use points that are sized by population. I added an example at the end to show one way to do this with {sf}'s magical st_centroid() #rstats www.andrewheiss.com/blog/2025/02...

hrbrmstr 🇺🇦 🇬🇱 🇨🇦 🏳️‍🌈@hrbrmstr.dev · 2y ago

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
Datawrapper@datawrapper.de · 2y ago

Maps are nice, but you need charts? Our recently released comparison columns and small multiple columns will come in handy to show polls and election results. Learn more here: https://blog.datawrapper.de/comparison-columns/ | https://blog.datawrapper.de/small-multiple-column-charts/

A column chart comparing German federal election results from 2021 and 2017 for the most popular six parties individually, and other parties collectively.