Looking forward to giving a 4-hour workshop on #dataviz at the First Summer School on Linguistic Creativity in Bielefeld tomorrow! #Vorfreude
Looking forward to giving a 4-hour workshop on #dataviz at the First Summer School on Linguistic Creativity in Bielefeld tomorrow! #Vorfreude
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.
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
For #TidyTuesday, we're looking at weekly gas prices in the USA from 1990 to present day
Horizon plot made with {ggHoriPlot}
Colours from {PrettyCols}
Annotations with {ggtext}
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-07-01
It's been 15 years since xkcd color survey, and I wonder how much the results would change if it was redone now.
Has our color vocabularly expanded since then? Specifically, is "puke green" still the 72nd most common color name?
Original xkcd blog post: https://blog.xkcd.com/2010/05/03/color-survey-results/
Code: https://github.com/nrennie/data-viz-projects/tree/main/xkcd%20Colors
If you want to get useful work done with R—like making visualizations, automating reports, or building simple websites—this book shows you how.
No heavy math. No academic detours. Just clear, hands-on guidance for using R with tools like ggplot2, Quarto, and the tidyverse.
For this week's #TidyTuesday, we're looking at Dungeons and Dragons monsters!
Obviously had to make a small multiple alignment chart
Magnified version to show labels
Radar charts: the chaotic evil of chart types alignment?
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-05-27
First #TidyTuesday in a very long time. This one made in a record (short) time.
D&D monsters seem to have longer names the larger they are. More is more #iconicity?
: https://github.com/borstell/tidytuesday/tree/main/2025/2025-05-27
I finally got around to writing up a chart makeover
blog post based on my (deliberately) bad chart created for the #30DayChartChallenge!
For #TidyTuesday this week, we're looking at data on terminations of NSF grants
Using colour to highlight one category
Transparency to highlight the important data
Annotations instead of a legend for transparency
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-05-06
It's the last day of the #30DayChartChallenge, and the final prompt is "National Geographic Theme" so here's my first and only map created for the challenge!
Made with #RStats
Colours inspired by National Geographic logo
{ggpattern} to use striped areas for missing data
#TidyTuesday week 15: Base R Penguins
Code
github.com/doehm/tidytu...
Gallery
github.com/doehm/tidytues
#dataviz #Rstats #ggplot2