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Looking forward to giving a 4-hour workshop on #dataviz at the First Summer School on Linguistic Creativity in Bielefeld tomorrow! #Vorfreude
Continued thread
The version in our online "ggplot2 [un]charted" workshop to illustrate how to create partial radial plots with #ggplot2 — part of the lesson "Coordinate Systems: Setting the Stage for Your Plot"
Last week, I crafted my first-ever gauge chart 
to showcase partial radial plots for our #ggplot2 [un]charted lesson on "coordinate systems".
Thanks to coord_radial(), partial circles like those are super easy now — and of course I couldn’t resist making a polished and animated version 
Hot take of the day: #ggplot2 is _the_ most powerful tool ever created for exploratory data analysis.
This week's #TidyTuesday data is all about art in New York subway and train stations - thanks to @georgios for curating this week's data! I made an interactive chart showing information about the sentiment of the art descriptions!
Sentiment analysis with {tidytext}
Basic plot made with #ggplot2
Tooltips added with {ggiraph}
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-07-22
I am done with all the distributions for now for my #R #Package #RandomWalker the last one was a displacement walk.
https://www.europesays.com/2259441/ SCNT: an R package for data analysis and visualization of single-cell and spatial transcriptomics | BMC Bioinformatics ##ár #algorithms #Bioinformatics #ComputationalBiology/Bioinformatics #ComputerAppl.InLifeSciences #Data #ggplot2 #Microarrays #SCNT #SingleCellSequencing #SpatialTranscriptomics
Just added the function random_f_walk() to the #Dev version of #RandomWalker
Just added random_geometric_walk() to the #dev version of my #R #package #RandomWalker
You can install it from #GitHub
Just updated my #R #Package in #dev on #GitHub with another #RandomWalk this time from the #Lognormal #Distribution with random_lognormal_walk()
See below :)
Just updated my #R #Package in #dev on #GitHub with another #RandomWalk this time from the #Logistic #Distribution with random_logistic_walk()
See below :)