#ggplot2—while
LightNews LightNews
cedricscherer.com
Why do we 💙 #ggplot2?

Yes, it's for the Grammar!

But also for the passionate and supportive community — and their steady contributions to the ggplot2 universe: all the extension packages 🧩 that take its impressive flexibility even further, making it more powerful and beautiful 🙌
#rstats #tidyverse
A collage of colorful hex logos from popular ggplot2 extension packages. Each hex represents an R package that expands ggplot2’s functionality. The overall layout celebrates the diversity and creativity of the ggplot2 ecosystem — while being able to just show a tiny sample from it.
July 14, 2025 at 4:04 PM
tylermw.com
Guess I'm going to go get some coffee while this thing plots

#RStats #ggplot
screenshot of text "Large ggplot2 (2.4 gigabytes)"
November 14, 2025 at 3:05 PM
ibddoctor.bsky.social
Every once in a while I need to fiddle with long category labels in #rstats ggplot2.
It always helps me to refer back to this excellent blog post by #AndrewHeiss @cararthompson.bsky.social
www.andrewheiss.com/blog/2022/06...
Quick and easy ways to deal with long labels in ggplot2 | Andrew Heiss
Explore different manual and automatic ways to rotate, dodge, recode, break up, and otherwise deal with long axis labels with ggplot2
www.andrewheiss.com
October 7, 2025 at 11:45 AM
datavisfriendly.bsky.social
The #rstats {ggpp} package seems to greatly amplify adding text, data labels, annotations, arrows, insets, ...
to ggplot2 graphics.
docs.r4photobiology.info/ggpp/index.h...
Grammar Extensions to ggplot2
Extensions to ggplot2 respecting the grammar of graphics paradigm. Geometries: geom_table(), geom_plot() and geom_grob() add insets to plots using native data coordinates, while geom_table_npc(), geom...
docs.r4photobiology.info
June 27, 2024 at 2:26 AM
christiangebhard.com
library(tidyverse)
hist(penguins$body_mass_g)

#rstats #ggplot2
An aerial image of the recently stranded cargo ship in Norway, that almost hit a cabin on the shore. The small cabin is labelled with "I need just one little histogram...", while the cargo ship is labelled with "library(tidyverse)".
May 23, 2025 at 7:06 PM
jofrhwld.bsky.social
It's taken me a *while* to figure out how to set the default color scales in ggplot2 like I want, so I made a blog post for the occasion: jofrhwld.github.io/blog/posts/2...
Setting default ggplot2 colors – Væl Space
jofrhwld.github.io
October 1, 2024 at 7:43 PM
thomasp85.com
I'm pleased to announce the release of scales 1.4.0 for #rstats. While scales mainly exists to serve #ggplot2, this release packs a bunch of improvements that is good to be aware of.

Read more in the blog post
scales 1.4.0
The new 1.4.0 release of the scales package adds some colourful updates. Read about colour manipulation, palettes and new label functions.
www.tidyverse.org
April 24, 2025 at 11:21 AM
cedricscherer.com
While preparing two new courses for @posit.co's posit::conf in Chicago, I've also updated the 2-day workshop on "Graphic Design with ggplot2" from last year's conf to use the same style 💅

Slides, exercises, solutions, and more—available here 👇
Graphic Design with ggplot2 - Graphic Design with ggplot2
rstudio-conf-2022.github.io
September 16, 2023 at 7:41 PM
ybrandvain.bsky.social
Introducing my 1st R package.

I built this to address common misunderstandings of linear models i often see in intro biostats students.

this is strongly paternalistic and aims to improve students' understanding of intro stats

comments welcome
yanivjb.github.io/honestlm/
#Rstats #ggplot2 #biostats
Guardrails for Teaching Linear Models
Provides small, opinionated wrappers around familiar linear model workflows. The package keeps base R and ggplot2 interfaces recognizable while adding guardrails around common interpretation traps, in...
yanivjb.github.io
July 8, 2026 at 7:59 PM
ansgarw.bsky.social
This hex-map breaks down the share of 15-24 year-olds in Germany and the regional contrast is hard to miss.

Eastern Germany shows much lower shares except for larger cities, while many western and southern areas have noticeably more young people.

#30DayMapChallenge Day 25: Hexagons #ggplot2
A map of Germany consisting of hexagons. Each hexagon is filled by color according to the share of people aged between 15 and 24. Eastern Germany shows much lower shares, while many western and southern areas have noticeably more young people.
November 25, 2025 at 8:17 PM
etts12.bsky.social
It's been while. Week 16 #TidyTuesday submission. Fun dataset to work with. #rstats #ggplot2
May 1, 2025 at 6:40 PM
dpastoors.bsky.social
Let it FLOW with GGPLOT🤩 While flowjo is great for analysing flow data and gating, visualisation is sometimes frustrating. Using #ggcyto and #CytoML it is super easy to visualise your flow data beautifully with ggplot! #flow #ggplot2 #immunosky #bloodsky www.dorienpastoors.com/data-visuali...
February 2, 2024 at 9:38 AM
teunbrand.bsky.social
I'm excited to announce that {legendry} has hit the shelves over at CRAN! Get yours while they're still fresh!

Good reasons to roll out my second blog post:
teunbrand.github.io/teunbrand_bl...

#rstats #ggplot2
Guidance for legendry – Blog | Teun van den Brand
Wherein I announce a new package to expand your arsenal of guides
teunbrand.github.io
November 1, 2024 at 4:48 PM
stephenjwild.bsky.social
Here is the reason given in the ggplot2 book (ggplot2-book.org/themes.html#...):
ggplot2 comes with a number of built-in themes. The most important is theme_grey(), the signature ggplot2 theme with a light grey background and white gridlines. The theme is designed to put the data forward while supporting comparisons, following the advice of (Tufte 2006; Brewer 1994; Carr 2002, 1994; Carr and Sun 1999). We can still see the gridlines to aid in the judgement of position (Cleveland 1993), but they have little visual impact and we can easily ‘tune’ them out. The grey background gives the plot a similar typographic colour to the text, ensuring that the graphics fit in with the flow of a document without jumping out with a bright white background. Finally, the grey background creates a continuous field of colour which ensures that the plot is perceived as a single visual entity.
August 20, 2025 at 11:07 AM
rladiesmelb.bsky.social
Meet our R-Ladies Melb secretary Dr Sehrish Kanwal! A senior bioinformatician at UMCCR, she uses #RStats for cancer genomics, clinical data analysis & visualisations with #ggplot2—while championing equity, mentorship & open science via #rOpenSci & #RLadiesMelb
#CommitteeSpotlight #WomenInSTEM
July 13, 2025 at 11:30 PM
nrennie.bsky.social
A simple, minimalist filled slope chart for this week's #TidyTuesday data about words found in Amazon's annual reports 📊

#RStats #DataViz #ggplot2
The image compares the frequency of the words 'data' and 'websites' in Amazon’s annual reports from 2005 to 2020. 'Data' mentions increased from 33 to 69, while 'websites' dropped from 53 to 8. The graphic, credited to @nrennie, highlights Amazon’s shifting focus over time.
March 25, 2025 at 10:57 AM
cedricscherer.com
Our ggplot2 [un]charted course is live! 🎉

Lesson 1, “Why R and ggplot2?”, is free to explore — short, thoughtful & a bit different.

Get the early-supporter price!
👉 ggplot2-uncharted.com

Follow along as new content drops and learn while running your code in the browser 👩‍💻
Screenshot of the first lesson called"Why R and ggplot2?". The header text reads: Course Foundations of ggplot2 Why R and ggplot? Why R and ggplot2? This lesson shows why programming is so powerful for data visualization. It covers what sets R and ggplot2 apart, highlighting their strengths, trade-offs, and how they compare to other tools. Let's get a clear sense of when and why to use ggplot2! ... and the first paragraphs: 🌍 A World of Visualization Tools Data visualizations are everywhere— on web pages, in reports, and at the heart of dashboards. What used to be a time-consuming, manual process is now much faster, thanks to powerful tools that turn raw data into clear, engaging graphics. But with so many options out there, choosing the right tool can be tough 😔. There are 5 main categories of visualization tools. Some are quick-and-easy chart makers, while others are flexible, code-driven libraries. The right choice depends on factors like data complexity, custom design, and the need for reproducibility. Explore the categories below to find the best fit for your needs! Another screenshot of the lesson, showing the three main reasons to use coding to work with data and create visualizations: 1. reproducibility 2. Customization 3. Automation It also shows a gallery of some of data visualizations such as the circular astronauts plot and the stream graph about appearances of the main X-Men characters.
May 13, 2025 at 3:03 PM
stephenturner.us
UseR 2025: Plot Twist: Adding Interactivity to the Elegance of ggplot2 with ggiraph www.youtube.com/watch?v=GnDj... #Rstats
Plot Twist: Adding Interactivity to the Elegance of ggplot2 with ggiraph
Description One of the most common critiques of ggplot2 is its lack of built-in interactivity. While static plots are powerful for storytelling, interactive visualizations can enhance exploration,…
www.youtube.com
August 1, 2025 at 7:21 PM
jeremy-data.bsky.social
@ansgarw.bsky.social has one of the best bio lines I have seen in a while: "Powerpoint by day, #ggplot2 by night."

Love the love for #rstats
October 20, 2024 at 7:24 PM
libbyheeren.bsky.social
This summer, I sat down with my friend Saumita & give her an intro to ggplot2. She's a capable pythonista, so I skipped the fluff & just showed what plotting with #ggplot2 in #rstats can look like.

If you're in a similarly Just Curious re: ggplot2, lemme know!

#databs #python #matplotlib
Filled density plot comparing bill length distributions of Adelie penguins from three islands: Torgersen (blue), Biscoe (yellow), and Dream (pink). The x-axis shows bill length in millimeters, ranging from 32 to 44 mm, and the y-axis shows density. The overlapping curves indicate that Torgersen penguins have generally longer bills, while Dream and Biscoe penguins have slightly shorter and more varied bill lengths. The title reads “Adelie Penguins from Different Islands,” with a subtitle asking, “Do they have different bill lengths?” The ggplot2 plot utilizes the geomtextpath package to insert the island names floating above the density lines in the shape of the lines.
November 4, 2025 at 1:40 AM
cedricscherer.com
🎄 Hope you’ve got all your presents ready 💝

Google search interest shows a stable pattern:

🎅 “Christmas gift wife” peaks just before Christmas Eve
🎅 “Christmas gift husband” peaks much earlier

#MerryChristmas to all of you! 🎁

📈 Google Trends (Nov 18–Dec 24, 2020–2024)
#dataviz #ggplot2
Line chart of Google search interest for “Christmas gift wife” and “Christmas gift husband” from November 18 to December 24. Bold lines show the average pattern across 2020–2024, while lighter shaded lines represent individual years. Shaded areas highlight which term has higher search interest at each point in time. The chart shows that searches for gifts for wives peak later in December than searches for gifts for husbands.
December 24, 2025 at 10:16 AM
ansgarw.bsky.social
Population pyramids for the country with the oldest (Japan 🇯🇵) and the youngest population (Niger 🇳🇪).
In Japan, half of the population is 49 years and older, while half of the population in Niger is 15 years or younger.
#30DayChartChallenge | #Day5 | Diverging #rstats 📊 #ggplot2
Population pyramids for Japan and Niger split by gender. While Japan has an aging population, half of the population of Niger is 15 or younger. The pyramid for Japan is a cup shape, while the one for Niger is a triangle shape.
April 5, 2024 at 11:09 AM
etts12.bsky.social
I came across an old #TidyTuesday Tornado dataset created by NOAA. I experienced a tornado once while in graduate school, and it was nerve-racking and chaotic. Never again. #rstats #dataviz #R #ggplot2

github.com/crobbs05/tid...
February 14, 2025 at 7:59 PM
karaman.is
Drawing fish with #ggplot2, inspired by this awesome video: www.youtube.com/watch?v=qlfh...

#Rstats #creativecoding
Generative art displaying a 5x5 grid of 25 stylised fish against a pale yellow background. While arranged in a grid, each fish exhibits randomness in its size, body curvature, orientation, and position within its grid cell. The fish have curved bodies filled with a red-to-orange gradient, black outlines, small black dot eyes, and a faint orange line along their back.
May 2, 2025 at 3:33 PM
nrennie.bsky.social
For #TidyTuesday this week, we're looking at posit::conf() talks data! 🧇 I made a simple waffle chart using {ggimage} to show how many speakers listed an affiliation with Posit in 2023 📊

Code: github.com/nrennie/tidy...

#RStats #ggplot2 #DataViz
This visualisation highlights the number of keynote, lightning, and regular talks at posit::conf(2023), with specific emphasis on those presented by speakers affiliated with Posit. Talks from Posit-affiliated speakers are identified by white hexagons, while the rest are shown in grey
January 14, 2025 at 3:14 PM