iiinova — where your digital self keeps evolving

Jen Richmond @jenrichmondphd.bsky.social · 12/08/2026

Thank you @jonthegeek.com for all that you do for the #tidytuesday community. It make me sad that part of the review process now involves working out whether the submission is "probably human". Of course, there are humans behind these AI agents trying and get their data in front of us... 🤮

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Jen Richmond @jenrichmondphd.bsky.social · 26/07/2026

oooooo libby and isabella in a compatible time zone?? count me in!! #rstats

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Crystal Lewis @cghlewis.bsky.social · 15/07/2026

Looking for general data cleaning guidance when preparing to share your study data in a repository, particularly when using #rstats? These slides may help. 👇 cghlewis.github.io/ncme-data-cl...

cghlewis.github.io

Data Cleaning for Data Sharing Using R - Data Cleaning for Data Sharing Using R

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Jen Richmond @jenrichmondphd.bsky.social · 11/07/2026

thanks for sharing @ctrl-n.bsky.social , super interested in this question too. When asking about age, what do you do to prevent your participants giving you messy data?

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Crystal Lewis @cghlewis.bsky.social · 29/04/2026

I was asked to speak with a graduate class today about research data management. I was asked, "How do people become convinced that beginning data management early on in a project is worth it?" Me: "Suffering. They usual have to suffer first." 😅

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Ryan Cordell @ryancordell.org · 13/05/2026

Students, if you’re thinking about dropping a note to that teacher or professor about what their class/project/mentorship has meant to you, but you worry it will be cringe or cheesy, let me just tell you they will coast on the fuzzy feelings prompted by that note for months, if not years

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Jen Richmond @jenrichmondphd.bsky.social · 13/05/2026

Wow- the DOC Great Walks booking system really is mad. Likelihood of getting a space on the Abel Tasman this summer... VERY LOW

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Jen Richmond @jenrichmondphd.bsky.social · 16/04/2026

Day 15: Correlation Are Animal crossing review ratings correlated with review text sentiment? Yes... but rating scores are not normally distributed. #30DayChartChallenge #TidyTuesday #tidyplots year <- 2020 week <- 19

Scatter plot showing a positive correlation between review text sentiment and review scores for Animal Crossing, with a fitted S-curve. Reviews with positive sentiment cluster around scores of 8–10, while negative sentiment reviews are spread across all score levels.

Bar chart showing the distribution of Animal Crossing review scores on Metacritic. The distribution is strongly U-shaped, with scores of 0 (approximately 1,100 reviews) and 10 (approximately 650 reviews) dominating, and scores in the middle range (5–7) receiving the fewest reviews.

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Jon Harmon (he/him/his) @jonthegeek.com · 12/04/2026

📦 tidytuesdayR 1.3.2 is on its way to CRAN 🎉 Changes center around Dataset Curation functions ➕ Curation works on Positron 🧑‍💻 tt_meta() gains options for attribution/social media ✅ tt_submit() checks & deals with more things dslc-io.github.io/tidytuesdayR... #RStats #DataBS #TidyTuesday

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Jen Richmond @jenrichmondphd.bsky.social · 11/04/2026

Day 11: Physical Ocean Temperatures by Depth in Nova Scotia #30DayChartChallenge #TidyTuesday #tidyplots year <- 2026 week <- 13 jenrichmond.github.io/charts26/202...

Two side-by-side heatmaps titled “Ocean Temperature by Depth in Nova Scotia.” The left panel shows shallow water (2 m) and the right panel shows deep water (40 m). The x-axis displays years from 2018 to 2025, and the y-axis lists months from January to December.

Each cell is colored on a blue gradient representing average temperature, with darker blues indicating colder temperatures and lighter blues indicating warmer temperatures. Missing data appears as grey tiles scattered across some months and years.

In the shallow water panel, temperatures show strong seasonal variation: darker blues (colder) in winter months (January–March), transitioning to much lighter blues (warmer) in summer (July–September), then cooling again toward December. In the deep water panel, temperatures are more stable across months, with less contrast between seasons, though slightly warmer tones appear in late summer and early autumn.

Overall, shallow waters exhibit larger seasonal temperature swings than deep waters.

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Jen Richmond @jenrichmondphd.bsky.social · 08/04/2026

Day 8: Circular As conflict wears on, the number of people displaced within their own country increases. #30DayChartChallenge #TidyTuesday #tidyplots year <- 2023 week <- 34 jenrichmond.github.io/charts26/202...

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Jen Richmond @jenrichmondphd.bsky.social · 04/04/2026

Day 4: Slope Taller palm trees have more leaves #30DayChartChallenge #TidyTuesday year <- 2025 week <- 11 jenrichmond.github.io/charts26/202...

A scatter plot titled “Taller palm trees have more leaves” showing the relationship between maximum leaf number (x-axis) and maximum height in meters (y-axis). Each point represents a palm tree species. The points are widely scattered but show an upward trend, with a red regression line sloping upward from left to right. Most observations cluster at lower leaf counts (around 5–25 leaves) and lower heights (under 20 meters), with a few taller and leafier outliers reaching above 60 meters and around 70 leaves. A note in the top left reports a moderate positive correlation (R = 0.42, p < 0.001). A footer reads “TidyTuesday 2025 Week 11 | Data from ‘palmtrees’ R package.”

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Jen Richmond @jenrichmondphd.bsky.social · 01/04/2026

This year for the #30DayChartChallenge I am going to pick a #TidyTuesday dataset at random and use it to make a chart with #ggplot and then see if I can reproduce it with #tidyplots. Day 1: Part-to-whole, Australian Salary data year <- 2018 week <- 4 jenrichmond.github.io/charts26/202...

A stacked bar chart titled “Gender Pay Gaps in Australia” showing that of 1,105 occupations, only 7% pay women more than men. The single vertical bar is mostly dark blue (men earn more than women) with a small red section at the top (women earn more than men). The y-axis is labeled “Number of occupations” and ranges up to about 1,250. The red portion represents a small minority compared to the large blue majority. A legend on the right distinguishes “Women > Men” (red) and “Men > Women” (dark blue). A footer notes “TidyTuesday 2018 Week 4 | Data from data.gov.au.

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Jen Richmond @jenrichmondphd.bsky.social · 18/03/2026

I think of the recommendations in this paper a bit like the Twelve Commandments of Spreadsheets... follow them and save yourself HOURS at the other end. We assume that students/researchers know this stuff, but no one has explicitly been taught it. Another hidden curriculum beauty...

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Data Rescue Project #DataRescue @datarescueproject.org · 09/03/2026

It's important for the public to be able to reuse #RescuedData, but the context a README or similar documentation provides is necessary for understanding. Be like Barbie. Help yourself have a great day every day, and on this #MemeMonday, remember to document your data.

Barbie driving down the road singing, text reads "downloading data for reuse. bottom panel: barbie and Ken screaming with text reading "there's no README"

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Jen Richmond @jenrichmondphd.bsky.social · 10/03/2026

Been thinking a lot about the "hidden curriculum" of research training recently and @cghlewis.bsky.social 's book is so great. She argues that most of us learn how to manage data by mentoring and "winging" it. What did you learn the hard way? Ill start... #OpenScience #databs

Screenshot of introduction text from Crystal Lewis's book Data Management in Large scale Education Research book https://datamgmtinedresearch.com/intro. Sentence about mentoring and "winging it" being a common method of learning data management is highlighted in yellow.

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David Hodge @davidhodge931.bsky.social · 25/02/2026

I'm guessing the reason excel does this is that classes are determined at the cell, rather than at the column?? #rstats

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Darren Dahly @statsepi.bsky.social · 23/02/2026

This is basically my villain origin story. "How old are you?" (unique responses)

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Matt Cowgill @mattcowgill.bsky.social · 18/02/2026

I started making this R package 6 years ago. I finally have it in a state I'm happy with, thanks to Claude Code #Rstats github.com/MattCowgill/...

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Calle Börstell @cborstell.bsky.social · 16/02/2026

Sheep to people ratio in Aotearoa/NZ for #TidyTuesday 🐑:👤 🇳🇿🌿 #R4DS #DataViz #ggplot2 Code: github.com/borstell/tid...

A graph with the title "Sheep to people ratio in Aotearoa/NZ: Data from 1935–2024 by 5-year averages" on a light blue background with a pale green area resembling land. The x-axis shows years by 5-year increments and the y-axis shows the rounded number of sheep per people. Between 1935 and 1980, the ratio is about 20:1, but then rapidly dropping to about 5:1 in the 2020s. The top corner shows an outline of Aotearoa. Caption reads: "Packages: {tidyverse, marquee, patchwork, rnaturalearth, rvest}; Data: StatsNZ & Statista via TidyTuesday & Wikipedia; Visualization: C. Börstell"

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Anthony Starks @ajstarks.bsky.social · 09/02/2026

Welcome to #DuboisChallenge2026 where the #dataviz community is encouraged to re-create visuals from the Paris Expo of 1900. This years theme is "Maps". This thread will introduce each image (see: github.com/ajstarks/dub...)

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Kaizad Patel @kaizadp.bsky.social · 11/02/2026

Dearest Gentle Reader, I’m happy to announce the release of my new R package, “whistledown”, with color palettes from the hit show #Bridgerton! #RStats #ggplot

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ᴅʀ. ᴍᴏᴡɪɴᴄᴋᴇʟ'ꜱ @drmowinckels.io · 30/11/2025

🎄 ANNOUNCEMENT: R Package Development Advent Calendar 2025! 🎄 Starting December 1st, I'm launching a 25-day journey through modern R package development. here's why you should follow along 🧵 #rstats #RPackageAdvent2025 #OpenSource

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Crystal Lewis @cghlewis.bsky.social · 20/11/2025

Yes, ChatGPT can help you write #rstats code, but so can this old Wiki I created with example code used for common data wrangling needs. Who knows, you might find some gems in there.🤷‍♀️ github.com/Cghlewis/dat...

github.com

Home

Functions used for wrangling education research data - Cghlewis/data-wrangling-functions

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Jen Richmond @jenrichmondphd.bsky.social · 05/11/2025

Day 4: my data #30DayMapChallenge Today I learned that #rstats 📦 `tidygeocoder` is super useful for pulling lat/long coordinates and that plotting a world map that centres the pacific is quite annoying. Shout out to @freerangestats.info for useful blog posts. jenrichmond.github.io/maps/2025-11...

A world map showing five cities connected by black arrows indicating places lived: Minneapolis, MN and Boston, MA in the United States; Sydney, Australia; and Wanaka, NZ and Dunedin, NZ in New Zealand. Arrows show movement between these locations across the Pacific Ocean.

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Jen Richmond @jenrichmondphd.bsky.social · 04/11/2025

Day 3 #30DayMapChallenge polygons Today I wanted to work out how to plot regional population on a map of NZ. Turns out the `spData` package has nz data (and other interesting spatial data that might be useful to beginner map makers). #rstats jenrichmond.github.io/maps/2025-11...

Choropleth map of New Zealand showing population distribution by region, with Auckland in dark blue having the highest population at approximately 1.8 million, and most other regions in lighter shades of blue indicating smaller populations.

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Libby Heeren @libbyheeren.bsky.social · 04/11/2025

TOMORROW, I'm hosting what I'm calling Data Science Lab. This debut session will be our fave Positron settings for #rstats & #python 😍 I called it DS Lounge at first, but that doesn't feel right. You'll see "Lounge" when you register at pos.it/dslab, but future sessions will be "Lab" 🧪😎 #databs

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Jen Richmond @jenrichmondphd.bsky.social · 04/11/2025

Day 2: Lines #30DayMapChallenge Sticking with walks of NZ, this time plotting the Te Araroa Trail, a 3000km hike that goes from the top of the North Island to the bottom of the South Island. #rstats jenrichmond.github.io/maps/2025-11...

Map of Te Araroa Trail showing the 3000 km walking route through New Zealand from Cape Reinga in the north to Bluff in the south. The trail is depicted as a colored line indicating elevation changes, with deep blue representing sea level areas, transitioning through purple and pink to yellow at higher elevations up to 2000m. Two key landmarks are labeled: Tongariro Alpine Crossing at Red Crater (1861m) in the North Island, and Two Thumb Track at Stag Saddle (1934m) in the South Island. The trail winds along both islands, showing significant elevation variations throughout the journey.

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Jen Richmond @jenrichmondphd.bsky.social · 03/11/2025

I am supposed to be walking the Routeburn Track next week (if the snow melts and the Harris Saddle opens) so today's map is about NZ Great Walks. #30DayMapChallenge #rstats Code available here jenrichmond.github.io/maps/2025-11...

This map shows New Zealand's Great Walks and their 2023-2024 visitor numbers using colored dots of different sizes.
Key Finding:
The Abel Tasman Coast Track (large red dot in northern South Island, around 41°S) had the most visitors with over 14,000 people.
Other Notable Tracks:

Routeburn and Kepler tracks (medium red dots in southwestern Fiordland region, around 42-45°S) each had 6,000-7,000 visitors
Several smaller tracks with lower visitor numbers are scattered across both islands

Legend:

Dot colors indicate track type: red = one way, cyan = loop track, dark teal = river journey
Dot sizes show visitor levels: small = 0-5k, medium = 5-10k, large = >10k

Note: Visitor data for Hump Ridge and Lake Waikaremoana tracks were unavailable.

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Musicology Duck @musicologyduck.bsky.social · 02/11/2025

i know I'm not alone in buying new notebooks/planners when I recommit to getting my life together but am i the only one who decides whatever perfectly good, mostly empty notebook I had before when my life was NOT together is forever tainted

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Jen Richmond @jenrichmondphd.bsky.social · 28/10/2025

Woot, just submitted another dataset to #TidyTuesday and now there are 5 PRs waiting for Jon to review. I screenrecorded the process, so if you want to see how EASY it is to contribute a dataset to this AMAZING #rstats community, check out this video. youtu.be/Kp7pyYwLcwc

youtu.be

tt_curate_data

YouTube video by Jenny Richmond

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Matthew Noe @noethematt.bsky.social · 28/10/2025

"I DON'T NEED YOU TO FUCKING REWRITE WHAT I'VE JUST WRITTEN!"

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Jadey Ryan @jadeynryan.bsky.social · 27/10/2025

Messy folders haunting your R projects? 👻 This Wednesday Oct 29 at 4:00 PM PDT, I'll lead a workshop on Efficient File Management in R with {fs} hosted by @r-ladies-stl.bsky.social. Let's clean and organize a spooky messy folder together! Register at www.meetup.com/rladies-st-l... #RStats #DataBS

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Jen Richmond @jenrichmondphd.bsky.social · 21/10/2025

How great is the #rstats community? Lots of good suggestions if you like @econmaett.github.io have decided that it is now time to learn git/github.

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Jen Richmond @jenrichmondphd.bsky.social · 17/10/2025

Ooooo this data is likely interesting to #rstats peeps, but I wonder how complete it is. Canceled orders in June-July are huge, but why are the orders received so low (and flat) in the first part of the year? Did the FOIA request only ask about canceled orders @kevinuhrm.bsky.social‬ ?

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Emily Moin @emilymoin.com · 10/10/2025

I am open to the idea that there are people who don't have and don't want to gain the skills to engage directly with their data but every single day that I do I learn the answer to a question you'd never even think to ask unless you were personally staring into the abyss of an uncleaned dataset.

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Jen Richmond @jenrichmondphd.bsky.social · 11/10/2025

⬇️ truth!! workshop materials and blog posts really just make googling faster for future me

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Cat Hicks @grimalkina.bsky.social · 07/10/2025

A lot of people with these qualities left academia because you didn't reward us or understand when we were blocked by others but y'all aren't ready to have that conversation I guess

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KOJAMF🤘🖤🤘 @kojamf.bsky.social · 05/10/2025

Dr. Jane Goodall filmed an interview with Netflix in March 2025 that she understood would only be released after her death.

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Jen Richmond @jenrichmondphd.bsky.social · 23/09/2025

The curse of knowledge is a real thing and this post is hilarious.

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