#Tidyverse
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davisvaughan.bsky.social
We are looking for #rstats community feedback on 3 new dplyr functions!

We're aiming to expand the `filter()` family:

- `filter()` to keep rows
- `filter_out()` to drop rows
- `when_any()` and `when_all()` as modifiers

Read more and leave feedback here:
github.com/tidyverse/ti...
Example of using `filter_out()` on the `penguins` dataset, showing how it is much easier than `filter()`, especially with `NA`s
November 7, 2025 at 4:03 PM
darakhshann.bsky.social
Nooooo!!

Every weekend I look forward to these posts. Like tidyverse & food, what could go wrong.
November 10, 2025 at 4:16 PM
hadley.nz
And stringr 1.6.0 is out too: tidyverse.org/blog/2025/11.... A fairly small release but some handy improvements thanks to tidyverse dev day contributors! #rstats
stringr 1.6.0
This release deprecates `str_like(ignore_case)` and changes the behaviour of `str_replace_all()` for function replacements. It also introduces `str_ilike()` for case-insensitive SQL-like pattern matc...
tidyverse.org
November 4, 2025 at 10:45 PM
cborstell.bsky.social
#TidyTuesday in the style of Chartle showing estimated incidence of TB

Code: github.com/borstell/tid...

#R4DS #DataViz
A line chart in the style of Chartle (a statistics guessing game) on a dark gray background with light gray/white text and lines, showing "Estimated incidence of tuberculosis per 100 000 population". One line is highlighted in coral red, showing the change for Marshall Islands from 2012 to 2023, with a huge surge from around 400/100k to well over 1000/100k in 2018. Data: World Health Organization via {getTBinR} and Sam Abbott via TidyTuesday; Packages: {tidyverse, scales}; Visualization: C. Börstell
November 10, 2025 at 9:48 PM
menisadi.bsky.social
​Looking for advice from the #rstats community!
​I'm was asked by my spouse to teach her R for her research analysis. She has zero programming experience and currently uses Excel.
​Main question: Do I start her with tidyverse or base R?

​Any tips or resources are welcome!
November 7, 2025 at 6:02 AM
donidoninha.lesbian.cat
Os gatos ggplot, pandas, tidyverse, matplotlib e seaborn
iamrodrigo.bsky.social Rodrigo Ortiz Vinholo @iamrodrigo.bsky.social · 6d
A galera tem mania de dar nomes de ninhas de gatos dentro de temas. Qual seria a ninhada na sua especialidade profissional?

Eu começo: Briefing, Job, Brainstorm e Learning
November 5, 2025 at 1:28 AM
mirkomincho.bsky.social
I mean it's the DAG of the data generating process:

library(tidyverse)
N <- 5000
df <- tibble(
X_true = rnorm(N),
X_error = rnorm(N),
X_obs = X_true + X_error,
Y_error = rnorm(N),
Y = 3*X_true + Y_error
)

summary(lm(Y ~ X_obs, data = df))
November 7, 2025 at 2:30 PM
milesmcbain.bsky.social
Going out on a limb here but the most exquisitely designed deeply domain specific functions in the #rstats #tidyverse are probably the tidyr::separate_ family.

separate_wider_regex() is my main. The patterns arg! Beautiful. The debug mode! So sympathetic to the user’s whole process.
November 4, 2025 at 6:35 AM
nuffieldlibrary.bsky.social
This week's new books! Find them all on the new books display in the First Floor Lobby #NewBooks
A stack of new books added to Nuffield College Library. They are: Mind the inclusion gap by Suzy Levy The migration question by Leila Simona Talani and Matilde Rosina Redefining the monetary standard in the digital age by Livio Stracca Off the rails by Sally Gimson The backsliders by Susan C. Stokes Getting lost edited by Matthew H. Bowker and Amy Buzby Riling up the base by Anastacia Kurylo and Ian Reifowitz Earth capital by Alessandro Stanziani Conservative at the core by Allan J. Lichtman Quantitative social science: an introduction in tidyverse by Kosuke Imai and Nora Webb Williams
November 7, 2025 at 3:30 PM
gl-eb.me
I’ve finally had time to write another blog post after a couple of busy months. It’s a tutorial on how to create UpSet plots using only tidyverse packages (and patchwork) in #rstats

https://www.gl-eb.me/blog/posts/2025-11-02_upset/

#dataviz #ggplot2
UpSet Plots in the Tidyverse – Gleb Ebert
How to create the components of an UpSet plot and combine them
www.gl-eb.me
November 2, 2025 at 3:23 PM
etiennebacher.bsky.social
#rstats tidypolars 0.15.0 is available!

tidypolars provides the tidyverse syntax while using polars for efficient computations.

This release:
- more support for string and date func.
- two func. to export partitioned output
- bug fixes

Changelog: www.tidypolars.etiennebacher.com/news/#tidypo...
Changelog
www.tidypolars.etiennebacher.com
November 3, 2025 at 8:06 PM
jonthegeek.com
Curator: @jenrichmondPhD
@dslc.io welcomes you to week 44 of #TidyTuesday! We're exploring Lead concentration in Flint water samples in 2015!

📂 https://tidytues.day/2025/2025-11-04
📰 https://academic.oup.com/jrssig/article/14/2/16/7029247

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash. TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag. This histogram shows the distribution of lead concentrations in water samples collected by Flint city officials from January to June 2015, during the Flint water crisis. The x-axis shows lead levels in parts per billion (ppb), with ND indicating non-detectable amounts, and the y-axis shows the number of samples at each concentration level. Most samples cluster at low concentrations, creating a right-skewed distribution with a long tail extending to very high values. Three vertical lines mark important regulatory levels. The blue dashed line is labeled The 90th percentile after excluding two high outliers, the black dashed line is labeled The EPA's lead action level, and the red dashed line is labeled The original 90th percentile before exclusions. Two samples shown in red were excluded from the official calculations, one at 20 ppb and another at 104 ppb.
November 3, 2025 at 1:40 PM
josefina-bernardo.bsky.social
Little late, but here's my plot for this week's #tidytuesday data about British literary prizes. Both shortlists and awardees are getting more diverse, but not in the same way... You can find my code here: github.com/josefinabern...

#rstats #dataviz #rladies #tidyverse #ggplot2
October 29, 2025 at 4:30 PM
fontikar.bsky.social
@emitanaka.org talks about key design principles from #tidyverse and how we can improve plant breeding software 😎
October 28, 2025 at 6:26 AM
dslc.io
It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io!
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS
October 28, 2025 at 1:05 PM
akjackson.bsky.social
Mostly grew up in Pasadena, Texas. BA physics and math from Rice, MS in astrophysics U Colorado, 35 years as a geophysicist at Shell. Started my stats using SAS back in the 80's, worked with R shortly after it appeared, switched to Python, then back to R for the tidyverse.
October 26, 2025 at 9:39 PM
cborstell.bsky.social
Friday night early #TidyTuesday of British Literary Prizes.

Wanted it as a bookshelf, made it into a bookshelf 📚

Code: github.com/borstell/tid...

#R4DS #DataViz
A plot with the title "British Literary Prizes (1991-2022): Proportion of women & non-binary authors among literary prize recipients over time". The plot is designed to resemble a bookcase, with each 5-year time period from 1991 to 2022 featured as a single shelf, and books representing individual prize recipients. Women and non-binary winners are color coded pink-ish and light blue-ish, respectively. Women and non-binary authors were in the minority until 2010–2014 and have constituted about half of the winners since then. Data: Post45 Data Collective via TidyTuesday; Packages: {tidyverse, marquee}; Visualization: C. Börstell.
October 24, 2025 at 10:28 PM
irvingwashington22.bsky.social
@hadley.nz in case you’re taking suggestions for new #tidyverse verbs, may I suggest ‘yoink()’?

i don’t yet know what it does. But whatever that action is, I’d for sure use it *all the time!*

#rstats
October 22, 2025 at 4:54 PM
jhelvy.bsky.social
You should read this wonderful little history of the #tidyverse, by @hadley.nz.

It reminded me about my early #rstats days as a PhD student (2011 - 2016), where I was constantly trying out the new things Hadley and crew were cooking up.

hadley.github.io/25-tidyverse...
A personal history of the tidyverse
hadley.github.io
October 22, 2025 at 11:30 AM
josefina-bernardo.bsky.social
My first time joining #tidytuesday was a lot of fun! Here is the figure I have created showing different types of meteorological measurements across the UK. Thanks to the @metoffice.gov.uk for the data!

Code is available here: github.com/josefinabern...

#rladies #tidyverse #rstats
October 21, 2025 at 2:58 PM
cborstell.bsky.social
UK weather data #TidyTuesday

Temperature changes over time and some individual temperature extremes highlighted on map
🌡🇬🇧

Code: github.com/borstell/tid...

#DataViz ##ggplot2
A line chart showing temperature changes (daily min and max readings) from 22 weather stations across the UK. The line charts include model fit lines showing average temperatures across stations over time (1970 to 2024), showing the estimated average increase at the right margin (about +1.5 degrees Celsius). On the right of the line chart, there is map of the UK showing the location of each weather station. Four of them are marked with annotations showing the highest (Cambridge, 2008) and lowest (Newton Rigg, 2010) monthly means and the hottest January (Yeovilton, 1990) and coldest July (Lerwick, 1993). Data: UK Met Office via TidyTuesday; Packages: {tidyverse, geomtextpath, ggarrow, ggtext, glue, rnaturalearth, scales}; Visualization: C. Börstell.
October 20, 2025 at 7:30 AM
mjginzo.bsky.social
Traballar con datos de xeito limpo e eficiente coa libraría tidyverse @usc.gal @citmaga.bsky.social
October 16, 2025 at 5:55 PM
jillymackay.bsky.social
While I DO think dplyr 'across' makes a lot more sense, I am FOREVER having to look up how to mutate a bunch of data into factors and I don't know why I can't get this in my thick skull #tidyverse #rstats
October 16, 2025 at 2:16 PM
moreanonhandle.bsky.social
And tidyverse has actually made this *better*!
October 16, 2025 at 12:37 AM
emitanaka.org
I wrote a paper about "Examining the Interface Design of Tidyverse" 📝

TL;DR to follow in future 😊

arxiv.org/abs/2510.10382
Examining the Interface Design of Tidyverse
The tidyverse is a popular meta-package comprising several core R packages to aid in various data science tasks, including data import, manipulation and visualisation. Although functionalities offered...
arxiv.org
October 14, 2025 at 3:31 AM