iiinova — where your digital self keeps evolving

Jen Richmond @jenrichmondphd.bsky.social · 05/09/2026

Do you need cute puppy pics? We are picking this guy up next weekend! sending virtual pup hugs xx

Two adorable curly-haired puppies cuddled together on a fluffy grey-and-white dog bed, surrounded by several colourful toys. One puppy sits upright facing the camera, while the other rests its head against its sibling. Both have soft reddish-brown coats and floppy ears.

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Jen Richmond @jenrichmondphd.bsky.social · 19/08/2026

i got you libby! we are getting a puppy in ~3 weeks... stay tuned for spoodle cuteness!

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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 · 01/08/2026

It was such a great session. I love the screenshare and play around format for meetups. thanks for sharing team!!

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Jen Richmond @jenrichmondphd.bsky.social · 29/07/2026

I reckon stroller could be one of those wait and see things. Mine were completely anti-stroller until they were at least 6 months old. I spent a lot of time carrying newborn in a wrap while pushing a stroller = double the energy 🤣

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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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Jen Richmond @jenrichmondphd.bsky.social · 20/07/2026

yes! I am not good at sewing but little clothes are very forgiving. When my daughter was small I made million variations of these Big Butt Baby pants and geranium dresses. So fun! shop.made-by-rae.com/collections/...

shop.made-by-rae.com

Children's Patterns

Modern sewing patterns for women and children

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Jen Richmond @jenrichmondphd.bsky.social · 19/07/2026

Fabulous news Libby!! I am so excited for you!!

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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 · 12/04/2026

my fav salad recipes come from Hetty McKinnon- she has a great book called Community that has lots of variety, she now writes recipes for the NYT. Also, my kids ate this slaw the other day which tells me it is really good www.recipetineats.com/pea-cabbage-...

recipetineats.com

Pea, Cabbage, Parmesan and Mint Salad

Adapted from a recipe by Karen Martini, a famous Australian chef. Fast to make with everyday ingredients. So good you'll want to eat the whole salad as a meal!

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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

Notes re the #tidyplots package so far: it makes donuts really easy (no need for coord_polar silliness) but doesn't seem to work with `patchwork`. Also not sure how to add both a title and subtitle to a plot.

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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

yes!! I have been looking forward to this recording!!

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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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Jen Richmond @jenrichmondphd.bsky.social · 13/03/2026

One of my favourite talks at positconf24 was @pipinghotdata.com talking about labelling data. Recording: youtu.be/eoI9QZdHBMw?...

youtu.be

Shannon Pileggi - Context is King

YouTube video by Posit PBC

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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 · 11/03/2026

You can set up a project in the cloud so all students need to do to get going is follow a URL and make an account. Posit Cloud has a 25 hours per month limit. Once they have spent 25 hours in posit cloud, installing on their machine is a bit less daunting.

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Jen Richmond @jenrichmondphd.bsky.social · 11/03/2026

I think the RStudio interface is good for beginners and have had success with starting students out in Posit Cloud. It looks just like RStudio on your machine and allows you to kick the (sometimes) complicated R/RStudio install process down the road a little bit.

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

seriously @cghlewis.bsky.social, you are the meme queen. AND because you are also the data management queen, you have them beautifully organised in a github repo!!! 🥳 github.com/Cghlewis/dat...

github.com

GitHub - Cghlewis/datamgmt_memes

Contribute to Cghlewis/datamgmt_memes development by creating an account on GitHub.

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

OneDrive cloud sync is more trouble than it is worth. The learning curve on Git and Github is steep, but you are always in control and you can make them work like a magic time machine. #OpenScience #databs

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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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Jen Richmond @jenrichmondphd.bsky.social · 19/02/2026

Love this!! Mint is easy but it is a good idea plant it in a pot. It will take over your whole garden.

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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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Jen Richmond @jenrichmondphd.bsky.social · 12/02/2026

I can testify the functions in the tidytuesdayR package make curating a dataset REALLY EASY. I made a video... check it out... www.youtube.com/watch?v=Kp7p... #rstats #tidytuesday

youtube.com

tt_curate_data

YouTube video by Jenny Richmond

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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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