Many thanks to Zuguang Gu for the wonderful #Bioconductor package #ComplexHeatmaps. Fantastically documented and useful.
Many thanks to Zuguang Gu for the wonderful #Bioconductor package #ComplexHeatmaps. Fantastically documented and useful.
#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
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#rstats | #r4ds | #dataviz | #ggplot2
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!
@EUScienceInnov #GeoData #DataViz #DuckDB #EUScience #OpenData
It's Day 4 of the #30DayChartChallenge, and the prompt is "Big or Small"
Diving into #Vermont wildlife for the #30DayChartChallenge "circle" day!
I’m baaack!
Wondering what I’ve been up to these past couple of weeks? Subscribe to the newsletter
For Day 3 of the #30DayChartChallenge, the prompt is "Circular"
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#rstats | #r4ds | #dataviz | #ggplot2
@LabPlot at the service of #science and #researchers!
@labplot@lemmy.kde.social @opensource
#LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software.
We're happy to know that #LabPlot was used in this recent study on the process of upcycling sorbents into high energy content supercapacitors:
We're looking at Pokemon data for #TidyTuesday this week!
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-04-01
(pandas
matplotlib. The most popular Python library for producing plots and other two-dimensional #datavisualization or #dataviz
IPython & Jupyter
It's time for a #Measles dashboard update:
https://public.tableau.com/app/profile/ari.skinner/viz/MeaslesUSA2025/NavandOverview
The landing page now has a histogram AND a national map, capturing statewide totals. This is especially valuable since some states aren't including county data, or are including divisions like regions, which can't be captured on the cases-by-county map.
This project was constructed from local and state data first: I don't pull from CDC's national totals, but I do check my data against them frequently. Wherever local and state data aren't available, I use news articles. Every entry includes a source link in the cases-by-county table.