Jen Richmond
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jenrichmondphd.bsky.social
Jen Richmond
@jenrichmondphd.bsky.social
370 followers 910 following 160 posts
ex-academic, co-founder RLadiesSydney, developer #RYouWithMe, sharer of #rstats learning https://jenrichmond.github.io/
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jenrichmondphd.bsky.social
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.
November 5, 2025 at 2:30 AM
jenrichmondphd.bsky.social
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.
November 4, 2025 at 9:37 PM
jenrichmondphd.bsky.social
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.
November 4, 2025 at 3:41 AM
jenrichmondphd.bsky.social
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.
November 3, 2025 at 3:33 AM
jenrichmondphd.bsky.social
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 ?
October 17, 2025 at 1:00 AM
jenrichmondphd.bsky.social
The Henley Passport Index data is interesting. I was curious about the relative rankings of the United States and Singapore and found that you get a bit of a different story if you plot ranking vs. visa free countries. #TidyTuesday #rstats

code available here: jenrichmond.github.io/tidytuesday/...
This line chart tracks passport power rankings from 2006-2025 for the US (blue) and Singapore (red), where lower numbers indicate stronger passports. The US passport declined dramatically from rank 1 in 2006 to rank 10 in 2025, with brief recoveries but an overall downward trend. Singapore showed the opposite trajectory, improving from around rank 8-11 in the early years to consistently holding the #1 position since 2020. The chart illustrates Singapore's rise to the world's most powerful passport while the US faces potential exclusion from the top 10. This line chart shows the number of visa-free countries accessible to US (blue) and Singapore (red) passport holders from 2006-2025. Both countries started with significant differences in 2006 (US at ~129, Singapore at ~122) but followed similar upward trajectories until 2017, when both reached around 185-187 visa-free destinations. Since 2017, Singapore has consistently exceeded the US, reaching ~194 countries by 2025 while the US declined to ~182.
September 12, 2025 at 3:01 AM
jenrichmondphd.bsky.social
Cowbell is out of fashion #TidyTuesday

jenrichmond.github.io/tidytuesday/...
This chart shows Billboard Hot 100 Number One songs that feature a cowbell, plotting their scores across three musical attributes (danceability, energy, and happiness) over time from 1960 to 2020. The data reveals that out of more than 1000 songs in the Billboard Hot 100 Number Ones database released between 1958 and 2025, only 7 songs include a cowbell, with none reaching #1 since 1991.
August 29, 2025 at 9:06 PM
jenrichmondphd.bsky.social
If you aren't a fan of theme_grey (why is that the default BTW??), theme_bw might be a better choice. #rstats

thanks for the tips @darakhshann.bsky.social @bharrap.bsky.social
August 20, 2025 at 6:59 AM
jenrichmondphd.bsky.social
Putting even plots out into the world via #TidyTuesday is a great way to learn new #rstats things!

Did you know that theme_minimal() actually has a transparent background? Me neither!! Explains why your ggsave export looks weird, like this...
August 20, 2025 at 6:59 AM
jenrichmondphd.bsky.social
Mapping Scottish Munros for #TidyTuesday Week 33.

thanks for curating @nrennie.bsky.social !

Interactive plot and code available here...

jenrichmond.github.io/tidytuesday/...
August 19, 2025 at 8:56 AM
jenrichmondphd.bsky.social
#TidyTuesday this week is SO FUN! Channelling my friend @fontikar.bsky.social and making something very silly... gross colours. Which colours reference bodily fluids?

Also... babies are gross 😂

Read about my #rstats process jenrichmond.github.io/tidytuesday/...
a tile plot of the xkcd survey colours that are inspired by bodily fluids, there is one yellow colour that refers to piss, 4 that refer to snot or booger, 8 that refer to vomit or puke, and 14 that refer to poo, shit, poop or diarrhea. Each tile is coloured according to the hex code of that colour name.
July 8, 2025 at 8:19 AM
jenrichmondphd.bsky.social
Quick #TidyTuesday plot this week. Diesel has become more expensive than gasoline over time. #rstats

jenrichmond.github.io/tidytuesday/...
July 2, 2025 at 3:45 AM
jenrichmondphd.bsky.social
Data cleaning is time consuming but dealing with data types shouldn’t be.

In this quick demo, I show you how to use mutate and across from the #rstats `dplyr` package to change the format of several columns fast.

youtu.be/1H1w4KhTfn8
June 29, 2025 at 7:57 PM
jenrichmondphd.bsky.social
I made these really nice quarto slides, custom css and everything, but when I try print to pdf much of the beautifulness disappears. Anyone have tips about yaml specs or css that you need to have revealjs slides print the same as they render. thanks! #rstats #quarto
June 28, 2025 at 3:40 AM
jenrichmondphd.bsky.social
I made a shiny #rstats thing!!

This week for #TidyTuesday my boyfriend Claude and I made an interactive Shiny dashboard.

Do I know Shiny? No…

Can I do Shiny? Sure… with Claude’s help of course.

Deployed via Posit Cloud Connect, feedback welcome!

www.tinyurl.com/myfirstshinyapp
June 24, 2025 at 10:06 PM
jenrichmondphd.bsky.social
If you know of remote opportunities (or just want to chat about academic career pivots!), I'd love to connect. There is a link to my website and recent projects below.

Some mountains for your Monday!

#OpenToWork #rstats #TechLeadership #CareerTransition #R-Ladies

8/9
June 23, 2025 at 1:51 AM
jenrichmondphd.bsky.social
Data cleaning is time consuming but replacing unexpected values with NA shouldn’t be.
The `replace_with_na()` function from the `naniar` #rstats package (credit: Nick Tierney) makes it easy to replace more than one value in more than one column in a single line of code.

demo: youtu.be/99L5j45Hkec
June 22, 2025 at 9:06 PM
jenrichmondphd.bsky.social
Most APIs are associated with more than one category. This heat map illustrates which categories tend to go together.

There are 275 APIs that are associated with media & analytics.

#TidyTuesday #rstats

read about my heatmap plotting process here ...

jenrichmond.github.io/posts/2025-0...
June 19, 2025 at 11:11 PM
jenrichmondphd.bsky.social
Lollipop plot of Supreme Court judge terms from the `historydata` R package for #TidyTuesday .

Winner of the longest term award goes to Stanley Reed, appointed in 1938 and serving for 42 years.

Read about my plotting process here jenrichmond.github.io/posts/2025-0...
June 10, 2025 at 9:22 AM
jenrichmondphd.bsky.social
The vast majority of books in the Gutenberg Project are in English.

I made this plot using the `treemapify` package. Treemap plots are useful when one category is overrepresented in your data.

#rstats #TidyTuesday

Checking out my plotting process jenrichmond.github.io/posts/2025-0...
treemap plot illustrating the number of books in the gutenberg database by language, the vast majority of books are in English, followed by French, Finnish, and German.
June 4, 2025 at 12:26 AM
jenrichmondphd.bsky.social
Ahhh how did I miss that there was developmental data about the dragons!! I was inspired by your plot and couldn't resist flipping it to put age on the x axis (lots of overlap in points which made it a bit difficult). Nice to see fellow Psych peeps getting into #TidyTuesday #rstats
May 28, 2025 at 4:44 AM
jenrichmondphd.bsky.social
You don't have to have a perfect #TidyTuesday story to make sharing worthwhile. It is enough to practice something that you want to get better at and to share what you learn along the way.

Today I learned some things about #rstats ggplot functions/themes.

jenrichmond.github.io/posts/2025-0...
May 27, 2025 at 9:15 PM
jenrichmondphd.bsky.social
A bit of a head start on the #TidyTuesday data this week because I curated it!

Ocean beaches in the city’s east are usually safe to swim. Swim sites in the west, which are lagoons and rivers, are less frequently a safe place to swim.

My #rstats plot process jenrichmond.github.io/posts/2025-0...
May 20, 2025 at 7:33 PM
jenrichmondphd.bsky.social
The #TidyTuesday data this week is about seismic activity at Mt Vesuvius. This plot uses geom_tile to show that the volcano is releasing pressure either via many small events or fewer larger events.

Read about my #rstats plot process here...

jenrichmond.github.io/posts/2025-0...
A stripe plot depicting the number of seismic events vs the mean duration of seismic events at Vesuvius. The stripes range in colour from yellow for low values to red for high values. Together the plot shows that event frequency and magitude are inversely correlated.
May 13, 2025 at 9:51 PM
jenrichmondphd.bsky.social
Rage coding this morning using #TidyTuesday NSF grant terminations data.

Research in STEM Education and Social, Behavioral, & Economic Science is clearly being targeted by the current administration.

I made a lot of depressing #rstats plots, check them out

jenrichmond.github.io/posts/2025-0...
A map of USA states plotting the percent of funding lost that came from STEM and SBE directorates. Most states are coloured orange and red, indicating that more than 70% of funding lost was related to STEM and SBE.
May 6, 2025 at 11:56 PM