Jon Harmon (he/him/his)

@jonthegeek.com

🗣️#RStats #DataScience #Dogs @dslc.io Executive Director #TidyTuesday poster 🔗http://linkedin.com/in/jonthegeek 🔗http://github.com/jonthegeek

I'm excited to share that I've received a grant from R Consortium to modernize R's tigris and tidycensus packages this summer. Over the past decade, tigris and tidycensus have become fixtures in R's demographic and spatial data ecosystems.

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One week from today is the first of the 2026 Ihaka Lectures. Kieran Healy will speak about "Trustworthy Data Visualisation" It's in Science bldg 303, opposite Albert Park. Refreshments 6pm for 6:30pm start (NZST, UTC+12). There's live streaming and a recording later.

Ihaka Lecture Series – University of Auckland

The Ihaka Lecture Series is an annual event hosted by the Department of Statistics which presents the latest research about statistics and computer science.

auckland.ac.nz

and here’s how the visualization came together, from a regular heatmap to the final UFC-inspired design... I gradually added the octagons, red palette, dark background, cage texture, typography, logo, and finishing details... #TidyTuesday #RStats #DataViz

Wajdi@wajdi.bsky.social · 4w ago

I finally managed to finish this week’s #TidyTuesday visualization! the topic is something I’m familiar with, but it still took me a few hours and many iterations to make the chart look decent. Here it is: "INSIDE THE FINAL ROUND" : how UFC fights end across five rounds #RStats #DataViz

TidyDevDay 2026: bring your laptop, leave with a merged PR, new friends, and sharper R skills! First-time contributor? Perfect. Seasoned developer? Also perfect. opensource.posit.co/blog/2026-06... 📅 Sep 17, Houston, TX, after posit::conf(2026) 🕘 9 am - 4 pm 🎟️ luma.com/pnjuw08h #rstats #tidyverse

Tidy Dev Day 2026

Join us for a full day of collaborative open source work — whether you're a seasoned contributor or making your very first pull request.

opensource.posit.co

This makes me SO HAPPY! This is what I want people to do! See tidytuesdayR on CRAN for relatively easy dataset submissions! dslc-io.github.io/tidytuesdayR...

Crossref@crossref.bsky.social · 2mo ago

The #TidyTuesday community did something great with our data. Our data science team contributed two datasets for Week 20, exploring member #metadata contributions and content types. Check them out in our forum post: https://bit.ly/3SmmIGg #datascience

This week for #TidyTuesday I'm doing a quick look at "grade" alignment, using dplyr's new filter_out and recode_values functions for the first time. Overall, CinemaScore had more higher grades while Metacritic and Rotten Tomatoes were harsher in their scores.

Clustered bar chart showing grade level of film scores across three sources (CinemaScore, Metacritic, and Rotten Tomatoes). Less than 20% of films had scores. Numeric scores were turned to grades. Minus or plus grades were aggregated. Overall CinemaScore had more higher grades while Metacritic and Rotten Tomatoes were harsher in their scores.
Jon Harmon (he/him/his) @jonthegeek.com · 2mo ago

@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

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.