#TodayinHistory#datavis#historicaldatavis#Onthisday#OTD
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Jul 25, 1575 Christopher Scheiner born in Wald, Swabia, Germany 🇩🇪
1626: Visual representations used to chart the changes in sunspots over time, the first known use of
small multiples
We are delighted to have Johanna Drucker visit us in Potsdam to give a presentation on her latest book: »Inventing the Alphabet: The Origins of Letters from Antiquity to the Present« (2022).
Besides being a critical voice for the fields of #datavis and #digitalhumanities, she is interested more broadly in visual forms of knowledge production including the history of writing.
Tomorrow, Andrew Boyd visits us to present his new book »I Want a Better Catastrophe: Navigating the Climate Crisis with Grief, Hope, and Gallows Humor« and to demo together with Jona Pomerance an early version of an interactive flowchart to help us navigate our climate predicament. Join us!
Trying to get a rough feel for the primary tools people are using for their data visualisations right now.
What are the main 3-5 tools you most commonly use in your workflow?
For example, my workflow is usually concentrated around using Excel, Tableau, RAWGraphs, and then Illustrator. For more bespoke interactive developments I bring in other people with the necessary skills.
The first tutorials lay the foundation, after which common data types are treated in 3 steps:
🛒 Prepare → 🥒 Process → 🥗 Present
If you have any ideas or suggestions for improvement, or if you're using these tutorials in your own teaching (or learning!), I'd love to hear about it. Many thanks already to @ikyriazi for lots of feedback on this revision!
Pro tip for anyone who happens to be looking for high resolution #bathymetry and #topography map images. Nasa's publicly available images top out at 3.6k pixels wide, which might not be enough for say a detailed 3D model. But if you go to the web page where they're available e.g. https://neo.gsfc.nasa.gov/view.php?datasetId=GEBCO_BATHY and click one of the download links, it actually renders the data live. So if you hack the URL you can dial up any* resolution you want.
The URL for the bathymetry data for example ends with &format=PNG&width=3600&height=1800. If you want an image with say, 10 times the resolution, just add a zero to both dimensions.
*Not sure what the upper limit is, or what resolution the original data set is. Don't abuse it or it might get taken away. #NoteForFutureSelf#blender3d#dataVis
I’ll be on the job market this fall and am interested in #postdoc and research positions around critical visualisation, critical data studies, and related areas.
My PhD research has examined how critical data studies and #datavis can be integrated and specifically how seamful visualisation—as an analytical lens, tool, and practice—can enable a critical approach to data and their visualisation. 1/3
Lining up a new project for this year's Wooly Fair in Providence, which will likely be a massive (8' tall?) pixelated lamb where each pixel is a discrete LED panel (3"x3" or so), perhaps touch-sensitive for color changing. This should be a fun one!
Three years ago i gathered data stories and visualizations on a wide range of feminist issues featuring work by @thepudding, Mona Chalabi, @kanarinka, @laurenfklein and #FHPotsdam students:
Realizing I never did an #introduction. I'm Amelia McNamara, an assistant professor of statistics. I love #data, especially non-traditional data like text. I'm an #RStats nerd to the extreme, and my research focuses on how computer tools can support statistics/data science learning. I love looking at #DataVis and wish I got more opportunities to make it, although teaching it is fun, too! My hobbies include repairing my #Volvo240, #Darning, and reading speculative fiction.