Jon Harmon (he/him/his)

@jonthegeek

🗣️#RStats #DataScience #Dogs @dslc.io Executive Director #TidyTuesday poster

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Jon Harmon (he/him/his) @jonthegeek· 29d

@dslc.io welcomes you to week 28 of #TidyTuesday! We're exploring Many penguins! 📂 https://tidytues.day/2026/2026-07-14 📰 http://dx.doi.org/10.1111/ele.13898 #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

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.

A montage of the 18 penguin species included in the data set, arranged alphabetically from A. forsteri (top left) to S. mendiculus (bottom right). The images vary; most show a single individual in a terrestrial habitat, but some show multiple individuals or family groups, or show birds at sea.

A phylogenetic layout of images of the 18 penguin species included in the data set, arranged according to a radial phylogenetic layout. The images vary; most show a single individual in a terrestrial habitat, but some show multiple individuals or family groups, or show birds at sea.

Jon Harmon (he/him/his) @jonthegeek· Jul 6

@dslc.io welcomes you to week 27 of #TidyTuesday! We're exploring UFC Athletes and Fight Data! 📂 https://tidytues.day/2026/2026-07-07 📰 https://github.com/benyamindsmith/fightr/ #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Jon Harmon (he/him/his) @jonthegeek· Jun 29

@dslc.io welcomes you to week 26 of #TidyTuesday! We're exploring Wreck Inventory of Ireland! 📁 https://tidytues.day/2026/2026-06-30 🗞️ https://www.archaeology.ie/advice-and-support/locate-a-monument-or-wreck/wreck-viewer/ #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Map of Ireland showing the locations of recorded shipwrecks. Each grey circle represents a wreck site, with a very high concentration around the Irish coastline and relatively few points in the open Atlantic to the west.

Jon Harmon (he/him/his) @jonthegeek· Jun 22

@dslc.io welcomes you to week 25 of #TidyTuesday! We're exploring Papal Encyclicals: Industrial Revolution vs. AI Revolution! 📂 https://tidytues.day/2026/2026-06-23 #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

A two-panel visualization comparing Pope Leo XIII's Rerum Novarum (1891) with Pope Leo XIV's Magnifica Humanitas (2026). The top panel shows thematic density (mentions per 1,000 words) across six categories including Dignity & Rights, Common Good, and Technology & Power. The bottom panel shows a sentiment arc tracking net positive/negative tone through each document. Rerum Novarum is shown in brown and Magnifica Humanitas in navy blue.

Jon Harmon (he/him/his) @jonthegeek· Jun 15

@dslc.io welcomes you to week 24 of #TidyTuesday! We're exploring UK Baby Names! 📁 https://tidytues.day/2026/2026-06-16 🗞️ https://www.nrscotland.gov.uk/publications/babies-first-names-2025/ #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Line chart showing the rise of girls' names in the Scotland top 100 rankings over time. Freya climbs steadily from around 90th place in the early 2000s to become the top-ranked name by 2025, overtaking other popular names including Isla, Olivia, Amelia and Grace.

Jon Harmon (he/him/his) @jonthegeek· Jun 8

@dslc.io welcomes you to week 23 of #TidyTuesday! We're exploring Films Based on Video Games! 📂 https://tidytues.day/2026/2026-06-09 🗞️ https://en.wikipedia.org/wiki/List_of_films_based_on_video_games #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

A ranked list of the top 10 highest-grossing video game film adaptations, with The Super Mario Bros. Movie at #1 with $1.36B, followed by Detective Pikachu at $450M and Warcraft at $439M.

Jon Harmon (he/him/his) @jonthegeek· Jun 5

Jon Harmon (he/him/his) @jonthegeek· Jun 1

@dslc.io welcomes you to week 22 of #TidyTuesday! We're exploring European Parenting Leave Policies! 📁 https://tidytues.day/2026/2026-06-02 📰 https://eplp-dataset.org/ #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

An area chart with lines showing changes in average parenting leave regulations across 21 European countries between 1970 and 2024. A general increase in total paid leave is seen until around 1990 where it then flattens out. However, after 1990 an increasing proportion of the leave is protected leave for co-parents. Total protected leave increased until around 2000 before flattening off.

Jon Harmon (he/him/his) @jonthegeek· May 25

@dslc.io welcomes you to week 21 of #TidyTuesday! We're exploring Sustainable Energy for All! 📁 https://tidytues.day/2026/2026-05-26 📰 https://energydata.info/dataset/dashboard/se4all-database #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

A shaded area chart titled 'Wind Power Consumed by Population and Industry (%)' comparing wind energy consumption in Denmark, Ireland, and Norway from 1990 to 2010. The visualization uses an overlapping 'identity' position to show each country’s individual trajectory. Denmark (teal) shows an early and aggressive lead, peaking near 4% by 2010, while Ireland (light blue) demonstrates a significant surge starting around 2003. Norway (burnt orange) shows a more modest, steady climb that begins to level out after 2007. The plot illustrates the 'momentum' of the energy transition, inviting participants to explore similar shifts in renewables, energy access, and efficiency metrics across the full global dataset.

Jon Harmon (he/him/his) @jonthegeek· May 18

@dslc.io welcomes you to week 20 of #TidyTuesday! We're exploring State of Crossref metadata by member country! 📂 https://tidytues.day/2026/2026-05-19 🗞️ https://doi.org/10.64000/7s70g-drz77 #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

An infographic depicting the continuous lifecycle of research outputs. The center consists of various entities including books, blogs, conference materials, articles, organizations, preprints, videos, images, theses, software, data, protocols, contributors, and other objects. Surrounding this core are five interconnected stages: Fund (fund, provide facilities, give award, fund again); Create (propose, generate data, author, revise, and write/produce); Post (edit, publish, deposit, check similarity, share, link, maintain metadata, and archive); Respond (comment, cite, mention, review, correct, and retract); and Use (verify, reuse, reproduce, translate, and refute).

Jon Harmon (he/him/his) @jonthegeek· May 11

@dslc.io welcomes you to week 19 of #TidyTuesday! We're exploring Twinned Cities! 📂 https://tidytues.day/2026/2026-05-12 🗞️ https://bothness.github.io/twin-cities/ #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

A screenshot of the twin cities explorer showing a minimalist world map. On the map points represent some cities, with lines connecting the different cities indicating a link between them. The highlighted cities include Hamburg, Marseille, Tunis, Paris, and Dubai. Links from those cities are largely concentrated within Europe.

Jon Harmon (he/him/his) @jonthegeek· May 7

I love that the definitions in this new MW all include a date of first known use (as defined in this dictionary). I knew it was in even the very old English dictionaries online, but now I want to also collect actual usage. 1613, eh? 😁

$computer \kəm-ˈpyü-tər\ n : one that computes; specif: a programmable usu. electronic device that can store, retrieve, and process data <using a ~ to design 3-D models> -- computerdom \kəm-ˈpyü-tər-dəm\ n -- computerless \kəm-ˈpyü-tər-ləs\ adj -- computerlike \kəm-ˈpyü-tər-ˌlīk\ adj (1613)$

Jon Harmon (he/him/his) @jonthegeek· May 7

The old definitions all talk about a person, usually defined somewhere in the vicinity of an accountant. I like that here "calculator" is similarly used to obviously refer to "one who calculates". The definitions in the 60s-80s are probably my faves, as we tried to figure things out.

com-pu-ter, s. [Eng. comput(e); - er.] One who computes or reckons; a calculator, accountant, or reckoner. (Brown.)

Jon Harmon (he/him/his) @jonthegeek· May 7

I collect definitions of the word "computer", bound together with definitions of other words. My current oldest is from the 4-volume Universal Dictionary of the English Language (1897), newest came today in @merriam-webster.com 's 12th Collegiate Dictionary (2025)