The story of #ComicSansMS!
First, cute, then #typography from hell ("worst font in the world", e.g. https://webdesignerdepot.com/10-most-hated-fonts-of-all-time/)... now: renaissance!, almost cute again!

#Wonderful #history #WeekendRead #DataViz

https://microsoft.design/articles/comic-sans-and-the-art-of-imperfection/

#Day5 of #30DayChartChallenge, theme: #Ranking

Ranking de distritos de Madrid por diferencia (€/m²) vs la media (€5.321). Lollipop divergente muestra quién está por encima () y debajo () de la media (Mar 2025).
Datos: Idealista. Hecho con #rstats #ggplot2

Código: https://t.ly/iosga

Much has been said about what Trump’s ‘Liberation Day’ tariffs mean for the global liberal order. But what do they mean for everyday American consumers? And what could be its fiscal impact?

Today's Number Theory breaks it down.

Read on HT app: https://is.gd/NUmU7y

#Day4 of #30DayChartChallenge, theme: #BigOrSmall

Precios "Big vs Small" en Madrid! Mapa coroplético de distritos por quintil de precio medio (€/m²), Marzo 2025.

Visualiza la disparidad geográfica entre los más caros y los más baratos.

Datos: Idealista/Ayto.Madrid. Hecho con #rstats #ggplot2 #sf

Código: https://t.ly/TAZaB

I once again recommend to pull the *.GPX files from your fitness tracker and view them in blender!

Shown is a section of my bike bike commutes (and fun rides around town) form 2022 to today, spanning at least 6000km

You can use this add on I made for that purpose. Even if #b3d is switching to the new extensions platform! Just select "Install from disc..." and you're set.

https://zuggamasta.de/projects/gpximporter/

#TIL about a #CLI #Ruby tool to do #dataviz in the #terminal: Youplot -- https://github.com/red-data-tools/YouPlot

Found it while reading the #duckdb documentation (https://duckdb.org/docs/stable/guides/data_viewers/youplot)

"What if today’s most iconic sounds aren’t just from today, but are inherited from a family of sound."

https://pudding.cool/2025/04/music-dna/

via @thepudding

Next at #WorkshopsForUkraine: Effective #DataVisualization #DataViz in #R #RStats in Scientific Contexts, by Christian Gebhard, Thursday April 10th, 6 pm CET. Register or sponsor a place for a student by donating to support #Ukraine. Details: https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine#h.b0g432iynobt

#30DayChartChallenge Day2 Slope – Google search interest in “How to remove Meta AI from Whatsapp”.

As Meta AI’s chatbot is being rolled out across Europe, many users are wondering how they can turn it off. I found myself googling it too. At the moment, there is no way to deactivate it though, leaving quite a few users upset https://www.huffingtonpost.co.uk/entry/whatsapp-users-react-meta-ai_uk_67e6730ee4b0f69ef1d3351e

Made in #Figma using NB Charts plugin.

ggplot2 is the gold standard when it comes to data visualization.

The image in this post showcases examples of ggplot2 visualizations, demonstrating its versatility to create a wide range of plots with nearly limitless customization options.

Check out my online course, "Data Visualization in R Using ggplot2 & Friends," for a deeper dive into creating stunning plots with ggplot2.

More info: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

https://www.youtube.com/watch?v=YhkbML4R2z8

this was fun to make - took me 1 hour to go from idea to working prototype - thanks to geobase.app APIs & ecosystem!

Build a city health Viz with Geobase, DuckDB-UI & GeoParquet

Appreciate the open data from #Horizon2020, EmotionalCities and

@EUScienceInnov #GeoData #DataViz #DuckDB #EUScience #OpenData

It's Day 4 of the #30DayChartChallenge, and the prompt is "Big or Small"

Made a very minimalist chart using #RStats
I'm now determined to use this same dataset for all 30 prompts

Diving into #Vermont wildlife for the #30DayChartChallenge "circle" day! Using #Python & #plotly to compare monthly #Moose and #BlackBear sightings Data wrangled with #BigQuery and #SQL. Any guesses which animal is seen more consistently throughout the year? #DataViz #Wildlife #RadialChart

For Day 3 of the #30DayChartChallenge, the prompt is "Circular"

Sunburst plot showing countries where 1% have >10% of wealth
Data formatting #RStats to create JSON data
Figured out how to edit an imported D3 chart in Observable

#Day3 of the #30DayChartChallenge, theme: #Circular

Radar: Perfil de Desequilibrio Inmobiliario 2023. Comparando ES, DE, FR, IT, en 5 indicadores normalizados (P/Renta, P/Alq, Crec.Real, Deuda/Renta, Inv/PIB)
Código: https://t.ly/DDz_F

#dataviz #españa #vivienda #economía #Eurostat. #rstats #ggradar

Global Financial Aid: A Visual Breakdown

This powerful data visualization unpacks how financial aid is distributed across nations, categorized into Humanitarian , Development and Peace initiatives.
These investments are crucial for driving progress across multiple SDGs, but disparities in aid allocation highlight the need for equitable and inclusive strategies to ensure no one is left behind.

Menacing upward trend alert! Day 2 of #30DayChartChallenge focuses on "slope," and #spottedlanternfly observations on #iNaturalist paint a concerning picture. This #invasivespecies (#Lycormadelicatula), highlighted in my #Rstats infographic (back to Python tomorrow ), poses a threat to our trees. Join #citizenscientists and report any sightings to help track this pest! #HitchHikerBug #DataViz #Ecology