The Old Map Gallery<p>also very cool...<br>MapSCII – World map in terminal</p><p><a href="https://github.com/rastapasta/mapscii" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/rastapasta/mapscii</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/maps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>maps</span></a> <a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datavisualization</span></a> <a href="https://mastodon.social/tags/map" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>map</span></a> <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a></p>
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Don't sleep on the U.S.G.S.
A classic masterpiece for the Grand Canyon which is easy to get absorbed into. The complexities of the region laid out in such elegant visual simplicity.
Which do you prefer, "data viz" or "dataviz"?
I long time ago (10 years!) I did some Google Trends analysis and found that "dataviz" was the most commonly-used way of writing the term, so I've been sticking to that all this time.
But today, I checked again and found that 10 years ago happened to be right around an inflection point and since then, "data viz" has taken over.
Time to update my writing style! cc @stamen
#dataviz #datavis #DataVisualization #charts #infographics #visualization
New comprehensive review on #LowDimensional #embeddings of #HighDimensional data. Discusses how #dimensionalityreduction helps visualizing, exploring, and #modeling #ComplexSystems. From #PCA to #tSNE, #UMAP & #NeuralNetworks: Excellent overview paper
I’m excited to share UVT-RS, my first project in #Rust 
.
It’s a collection of crates to work with Uncrewed Vehicle Trajectory (UVT) files, from reading, writing, and generating files with #ROS bags & MCAP, to visualizing them in 2D and in 3D.
I learned a lot about Rust packaging and rosbag internals while building this, and I look forward to using Rust even more in #Robotics
Happy 7th Birthday to Quarticle! 
A huge thank you to our brilliant team, amazing clients, and trusted partners who make this journey possible.
Here’s to the next chapter of innovation, impact, and collaboration!
From 1862, this was a comparative chart that provides you with the best of what was known for the major rivers and mountains of the world.
Great visualization let's you wander and discover, this does the job well
Oct 9: Deborah Schmidt (Helmholtz Imaging, @MDC_Berlin) on visualizing spatial datasets. Learn how to tell your data’s story through visualizations.
Register for the series 
https://bit.ly/6-image-processing-tasks
Starting today: Science Maps. Bibliometrics between understanding and visualization
Together with Marcus John, I organize a small series on science mapping for our workgroup "WG Visualization" at Competence Network Bibliometrics. We hop to gether traditional, current, and critical perspectives on one of the most established and iconic forms of visualizing data in #Bibliometrics and #NetworkAnalysis.
More talks will be announced soon!
Today, Katy Börner will kickoff our series with a presentation about "Mapping and Modeling Science, Technology, and Education". You can find further info and registration under the following link:
https://www.linkedin.com/pulse/kb-open-research-seminar-mapping-modeling-science-bibliometrie-s0ore
Oh, this is beautiful! Thank you, Laura & co. for this work!
https://arxiv.org/abs/2507.14494
arXiv.org"It looks sexy but it's wrong." Tensions in creativity and accuracy using genAI for biomedical visualizationWe contribute an in-depth analysis of the workflows and tensions arising from generative AI (genAI) use in biomedical visualization (BioMedVis). Although genAI affords facile production of aesthetic visuals for biological and medical content, the architecture of these tools fundamentally limits the accuracy and trustworthiness of the depicted information, from imaginary (or fanciful) molecules to alien anatomy. Through 17 interviews with a diverse group of practitioners and researchers, we qualitatively analyze the concerns and values driving genAI (dis)use for the visual representation of spatially-oriented biomedical data. We find that BioMedVis experts, both in roles as developers and designers, use genAI tools at different stages of their daily workflows and hold attitudes ranging from enthusiastic adopters to skeptical avoiders of genAI. In contrasting the current use and perspectives on genAI observed in our study with predictions towards genAI in the visualization pipeline from prior work, we refocus the discussion of genAI's effects on projects in visualization in the here and now with its respective opportunities and pitfalls for future visualization research. At a time when public trust in science is in jeopardy, we are reminded to first do no harm, not just in biomedical visualization but in science communication more broadly. Our observations reaffirm the necessity of human intervention for empathetic design and assessment of accurate scientific visuals.
Do you think 3D visualization (using 3D software) is valid when it comes to DataViz for print?
#python #excel #automation
#technology #dashboard
#datascience #dataanalytics
#datavisualization #datamanagement
Synergizing MS Excel & Python Batch Processing Hands Down
A Beginner-Friendly One-Stop Python Automation Shop of Excel Tasks & Reports to Increase Productivity in the Workplace: from Fast File I/O to Low-Code AutoEDA & Interactive Dashboards for Business to Grow
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@freakonometrics I love a good #InfoGraphic but in this case, I feel the scatter plot more accurately represents the data.
Plot from the same source as original.
A new Apple diagram is posted, showing their results for the most recent quarter (ended June 28).
In the discussion on the earnings call, Apple specifically noted that their product costs increased $800 million because of new tariffs. I've highlighted that share of product costs in red.
Visit https://sankeymatic.com/data/apple/ to see a more interactive version of the diagram and to make your own variation.