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Walter R. Houghton, “Presidential Elections” from Conspectus of The History of Political Parties and the Federal Government, 1880. (via @infowetrust)

Data graphics are magical. Come learn how to make pictures that can help us discover and discuss otherwise invisible phenomena.

Persuasive Data Graphics
Workshop with RJ Andrews
Sat, May 3, 2025
10:00am–5:00pm PT
In Person at Letterform Archive

Learn more and register: letterformarchive.org/shop/per

Have you ever wondered how bilingualism shapes reader preferences for annotated charts? Don't miss "Lost in Translation" at #CHI2025 next week ft. Anjana, Chris, and @lace ! youtube.com/watch?v=Nr7DVbjCUo

They'll be presenting at the Visualization and Language Communication track on Weds. April 30th at 10:12am

Headed to #CHI2025? Don't miss honorable mention paper "The Many Tendrils of the Octopus Map" by Eduardo Puerta & Shani Spivak (co-first-authors) and Michael Correll @Birdbassador - a retrospective analysis of these visual manifestations of conspiratorial thinking 🐙 youtube.com/watch?v=AyqyTkog_y

Mon, 28 Apr | 12:10 PM - 12:22 PM

@ACM @chi #HCI #DataVisualization #Maps #Mapstodon

🚀 Dive into a GRASS tutorial! 🌟

Discover how to create plots directly in GRASS using tools powered by the matplotlib library. No conversion needed! Visualize your raster, vector, and time series data effortlessly. Check it out and give it a try!

#Tutorial #DataVisualization #GRASS #GIS #Python #Matplotlib

grass-tutorials.osgeo.org/cont
grass-tutorials.osgeo.org/cont

grass-tutorials.osgeo.orgMaking plots with GRASS

Understanding probability distributions is key to making informed decisions in statistics and data science. Probability distributions describe how the values of a variable are expected to behave, making them crucial for interpreting data and predicting outcomes.

The visualization shown in this post illustrates the distributions.

Further details: statisticsglobe.com/online-cou

Happy to share that a few weeks ago I successfully defended my dissertation as the first doctoral student of Digital Humanities at the University of Bern (insigni cum laude).

My study under the title «Generative Data Design: Data Visualization as Argumentative Process in The Digital Humanities» developed a practical and critical design method that conceptualizes data visualization as an argumentative process (contrary to the idea of visualizations being neutral and objective) supporting the interpretation of digital cultural heritage collections.

A great thank you goes to my supervisors Tobias Hodel and Ulrike Felsing (University of Bern) as well as Kurt Fendt (MIT Comparative Media Studies/Writing). And of course to all my friends, family and colleagues who supported this journey in a diversity of ways. 🙏

Next up: Publication process.

🚀 Wrapping up the last day of #OpenEducationWeek2025, coinciding with #OpenDataDay! Using fantastic open data to create amazing and fun map designs. 🌍💻

Highlighting the course: Creating data visualisation with graphs, maps, and animations! 🌟 Topics include:

📍 Symbolizing Points by Varying Size

🌡️ Creating Heatmaps

🗺️ Creating Choropleth Maps

🧩 Visualizing Mesh Data

🎞️ Creating Animations

Learn more here: courses.gisopencourseware.org/