Lmst

What if you could see the air? 🌬️

https://Currents.systems at Aargauer Kunsthaus turned air quality into a living VR experience. Decentlab DL-ATM22 & DL-PM sensors streamed real-time data via https://akenza.io.

Exhibition ended, sensors & "Nose" still available.

Watch the video: https://buff.ly/saQIcN3

#IoT #SmartBuilding #DataVisualization #géraldine-honauer

Looker Studio opens CSV connector to all users after Pro-only launch https://ppc.land/looker-studio-opens-csv-connector-to-all-users-after-pro-only-launch/?utm_source=dlvr.it&utm_medium=mastodon #LookerStudio #CSVConnector #DataVisualization #BusinessIntelligence #Analytics

Looker Studio opens CSV connector to all users after Pro-only launch: Looker Studio's CSV connector UI enhancements reach all users on March 6, 2026, reversing a Pro-only rollout from October 2025. Full technical details inside. https://ppc.land/looker-studio-opens-csv-connector-to-all-users-after-pro-only-launch/ #LookerStudio #CSVConnector #DataVisualization #BusinessIntelligence #Analytics

"In music, the word motif describes a short, distinctive musical idea that recurs in a salient way."

https://pudding.cool/2025/12/motifs/

#music #dataviz #DataVisualization

Recent @DSLC club meetings:

:rstats::python: Devops for Data Science: Chapter Q&A with Author Alex Gold https://youtu.be/SbKo78fffwo #RStats #PyData #DevOps

From the @DSLC :rstats:chives:

:rstats: Data Visualization with R: Univariate Graphs https://youtu.be/nbMfeIrJFio #RStats #datavis #dataviz #dataVisualization

Support the Data Science Learning Community at https://patreon.com/DSLC

Bellingcat: Using Bellingcat’s New Open Source Tool to Explore Historical and Spatial Flight Data. “Flight tracking data is an important tool in open source research, but with 100,000 daily flights, it can be difficult to contextualise what a particular aircraft’s movements indicate. Bellingcat has developed a tool called Turnstone to make it easier to visualise historical trends in flight […]

https://rbfirehose.com/2026/03/09/bellingcat-using-bellingcats-new-open-source-tool-to-explore-historical-and-spatial-flight-data/

Ich suche noch nach einer schönen Möglichkeit die Statistik grafisch darzustellen.
Was für Arten der Visualisierung und was für Programme sind dafür geeignet?
Die Informationen liegen in einer Tabelle pro Termin vor und lassen sich daher gut als CSV einlesen.

Bonuspunkte, wenn sich einordnen lässt, wie das Repair Café über die Zeit einzuordnen ist (Anzahl Gegenstände, Erfolgsquote, Spenden).

#statistics #datavisualization

Engineering High-Performance React Dashboards with Recharts

As we move further into 2026, the demand for data-dense, real-time administrative interfaces remains a cornerstone of enterprise application development. This guide explores the architectural patterns...

📺 Watch here: https://www.youtube.com/watch?v=YgX1-9G1mgs

##ReactJS ##DataVisualization ##Recharts ##WebDevelopment

Iran War Cost Tracker

https://iran-cost-ticker.com

#HackerNews #IranWarCostTracker #IranCostTicker #ConflictAnalysis #WarEconomics #DataVisualization

A 2017 research project which had more than 10,000 people share their happy moments, illustrated as a map.

https://pudding.cool/2026/02/happy-map/

#happiness #data #dataviz #DataVisualization

A screenshot from the linked website showing cartoon-style people spread across a map.

Two of the cartoon people have a speech bubble next to them.

Person 1, in the center: "The people you see here answered these questions as part of a 2017 research project. More than 10,000 people shared their happy moments."
Person 2, off to the side, labeled as a 28 year old single woman from the United States without children: "My co-worker told me a funny story, which led to more funny stories from other co-workers."

FYI: AI-Powered Search: Explained in Simple Terms #shorts: What is AI-powered search? It's where artificial intelligence meets information retrieval. AI allows computers to behave like people, using machine learning and data science to improve search results. It's not just about chatbots; it's about smarter search. #AIsearch #machinelearning #datavisualization #informationretrieval https://www.youtube.com/shorts/tflRHOGMj6Q

Treeeeeeeees! 😍 🌴

Decision Trees - the unreasonable power of nested decision rules:

https://mlu-explain.github.io/decision-tree/

By Jared Wilber & Lucía Santamaría

#MachineLearning #Algorithms #Entropy #DataViz #DataVisualization

And just found this: 7 #Colorblind-Safe Color Palettes for Scientific Figures. Copy-paste #OkabeIto, #Viridis, Paul Tol & Wong palette #HexCodes. #CVD-friendly palettes recommended by Nature, with side-by-side comparisons and usage examples:

🌍 https://conceptviz.app/blog/scientific-color-palette-for-research-papers-and-posters

#DataVisualization #OpenScience #ColorVision #DataScience

📊 This paper by Crameri et al. from 2020 shows why #color choice in figures matters.

Rainbow 🌈 and red–green colormaps 🛑❇️ can distort gradients, create artificial boundaries, and exclude readers with color-vision deficiency. They quantify the visual error and argue for perceptually uniform, #CVD-friendly scientific colormaps instead.

📄 https://doi.org/10.1038/s41467-020-19160-7

#DataVisualization #OpenScience #ColorVision #DataScience

By knowing what something looks like in advance, the distortion by unscientific colour maps, like jet or rainbow, becomes instantly obvious. The look of scientific data is, however, usually unknown a priori, which makes the distortion of an unscientific colour map, and the true data representation of a scientifically derived colour map, like batlow41, less apparent. Marie Skłodowska-Curie, as originally photographed by Henri Manuel around 1920, the Earth from space, and an apple are shown a in their original images and b in distorted and c in undistorted colour versions. Inferring the true picture from an unscientifically (e.g., jet) coloured data set is incomparably harder than from a data set represented in a perceptually uniform and ordered colour map, like batlow.

Available perceptually uniform colour maps versus the non-uniform rainbow (i.e., jet; bottom row) as seen with either of the three common forms of human colour-vision deficiency (deuteranopia, protanopia, and tritanopia), and for grey-scale (representing total colour-blindness or simple black-and-white prints). Rainbow, the most-widely used colour map, fails to reproduce a meaningful smooth gradient, yet the other colour maps (see Box 2) are all universally readable.

Fig. 3: Colour map measure, distortion, and error. a, b The incremental lightness difference, ΔE, here using the CIEDE2000 formulation (see ‘Methods’), is a measure for the perceptual colour difference along the colour map. For a perceptually uniform colour map, ΔECIEDE2000 should be equal all along the colour map (i.e., a flat graph; a). Using c, d the cumulative colour lightness difference, ΔECumulative, it is possible to extract e, f the resulting visual error in percentage of total data variation. For scientifically derived colour maps like batlow41, the resulting error introduced to the data by the colouring is negligibly small as g the incremental data variation is represented equally all along the axis, and a linear data gradient, therefore, appears linear. Put differently, i a flat line looks flat. For non-scientific colour maps, like jet, h data gradients are unevenly represented and f visual error can be >7% of the displayed data variation such that j a linear graph (e.g., a flat line), for example, becomes unrecognisable.

Derya Unutmaz, MD (@DeryaTR_)

과학용 도표·그래픽 제작 도구로 GeminiApp의 Nano Banana 2 또는 NotebookLM만 있으면 된다고 추천하는 의견. 연구·학술용 시각화 제작에 이들 앱/도구만으로 충분하다는 활용 제안.

https://x.com/DeryaTR_/status/2027545194879447083

#geminiapp #nanobanana2 #notebooklm #scientificfigures #datavisualization

Due to the Simpson’s paradox, your data may be telling you the exact opposite of the truth.

More info in the Statistics Globe Hub: https://statisticsglobe.com/hub

Credit to this Wikipedia animation for the inspiration: https://en.wikipedia.org/wiki/Simpson%27s_paradox#/media/File:Simpsons_paradox_-_animation.gif

#Statistics #DataScience #RStats #DataVisualization

📊 Torna il corso “Data Storytelling per la Comunicazione”, tenuto da Matteo Moretti e me: un percorso formativo in cinque sessioni per apprendere principi, metodi e strumenti essenziali per comunicare serie di dati in modo efficace.

Scopri di più e iscriviti:
👉 https://www.supsi.ch/data-storytelling-per-la-comunicazione2

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📢 The course “Data Storytelling per la Comunicazione”, led by Matteo Moretti and me, is back.

Find out more and sign up!

#DataStorytelling #DataVisualization #DataStory #StorytellingWithData #AI

Corso di Data storytelling per la comunicazione

Bryan Bischof built a charting library in 2 days with Cursor. YAML in, branded charts out. Flux charts, small multiples, annotations. 3 hours. No compromises.

"We don't support that chart type? We do now."

#DataVisualization #AI