#TidyTuesday (2025 W40) Just love an excuse to do an animation... this map shows the location of Eurobasketball teams, with a gif highlighting the country of the team that won. #rstats Code: github.com/drjohnrussel...

#TidyTuesday (2025 W39) Used the ggmap package to make an inset for the graph, and noticed that there seems to be two seasons of observations. Fun dataset, I'm curious whether the increase in cranes is an observer effect, or an actual increase! #rstats Code: github.com/drjohnrussel...

#TidyTuesday (2025 W38) I had heard about the age effect in chess, and wanted to see it for myself - took the top 20 chess players at each age to show how chess, like other sports, very much peaks (also, there are some old chess players still around!) #rstats Code: github.com/drjohnrussel...

#TidyTuesday (2025 W37) Went into cleaning mode this week, filtering out common pantry ingredients and instructions to find the most common other calls for ingredients that are given. #rstats Code: github.com/drjohnrussel...

look what you made me do (#rstats code here gist.github.com/andrewheiss/... )

#TidyTuesday (2025 W36) The Henley Passport index is interesting because it allows ties, which was a nice challenge for a ranking plot using the ggflags package to see which passports allow one to travel to the most countries. #rstats Code: github.com/drjohnrussel...

Super fun #TidyTuesday data all about frogs this week! 🐸 I decided to try to visualise the scientific names of the different frogs using a sunburst diagram 📊 Thanks to {ggiraph} - it's also interactive! Code: github.com/nrennie/tidy... #RStats #DataViz #ggplot2

#TidyTuesday (2025 W35) We often think of distributions among categories, but spatial and temporal distributions are also important for exploration. It's also interesting to think, as a citizen science project, about issues of selection bias. #rstats Code: drjohnrussell.com/posts/2025-0...

#TidyTuesday (2025 W34) I wondered if the maximum time that a song spent as a Number One Hit had changed over time. What is interesting is that different models tell different stories, with the GAM (blue) and LM (red) mostly agreeing, but the loess (green) being pulled down in the middle. #rstats

#TidyTuesday (2025 W33) I'm in Edinburgh for the fringe, so this was timely! Many thanks to @nrennie.bsky.social for curating this dataset of Scottish Munros. Loch Ness & Loch Lochy serve as a dividing line because of the underlying fault system! #rstats Code: drjohnrussell.com/posts/2025-0...

Day 30(!) of #30DayChartChallenge (national geographic) Mapping our animal friends (and their repercussions) in NYC using NYCOpenData and the tigris and socrata #rstats packages. Interesting that it doesn't quite correlate. github.com/drjohnrussel...

Day 29 of #30DayChallenge (extraterrestrial) Borrowing a dataset that my co-teacher uses, it is amazing to look at the ways in which exoplanets are discovered, and to understand that, within the astronomer's toolkit, different methods preference different exoplanets. github.com/drjohnrussel...

Day 28 of #30DayChartChallenge (inclusion) W Gosset was only allowed to write if he did not include beer, Guinness, or their own surname - and as such, Student was born. In his first paper, he predicted the distribution of cells in 4 grids. Both graphed using #rstats github.com/drjohnrussel...

Day 27 of #30DayChartChallenge (noise) H. Waite's data (1915) on whorls and loops on the right hands of 2000 people became a case for Pearson's work on independence. I love how the most common number of loops or whorls is different than the most common number of both. github.com/drjohnrussel...

Day 26 of #30DayChartChallenge (monochrome) In 1954 in 272 counties with the highest incidence of polio, the vaccine was tested, affecting ~1.6m elementary children. There were two different designs, an RCT (using a placebo), and a matching study. Both succeeded. Code: github.com/drjohnrussel...

Day 25 of #30DayChartChallenge, going back to @datavisfriendly.bsky.social's HistData package in #rstats William Farr tested many theories around the Cholera epidemic of 1849, including a seasonal effect using a time series in conjunction with meteorological data. github.com/drjohnrussel...

Day 24 of #30DayChartChallenge (WHO) The @ropensci.org rgho package lets you easily see and download Global Health Observatory data in #rstats. I found a few datasets on road traffic fatalities, showing that cars are most deadly... to other cars around the world. github.com/drjohnrussel...

The recording from our event today with @nrennie.bsky.social is now available on our YouTube channel! Thanks again to Nicola for a great workshop on Git and GitHub for R Users! #rstats #rladies www.youtube.com/watch?v=v0QX...

Day 23 of #30DayChartChallenge (log) While J. Kepler did not prove his third law (planet's orbital period^2 is proportional to semi-major axis^3) using data visualization, it pops in a log-log plot. #rstats using exoplanet data from @ropensci.org exoplanets package github.com/drjohnrussel...

Day 22 of #30DayChartChallenge (stars), done in #rstats J. Herschel made what @datavisfriendly.bsky.social points out as the earliest known scatter plot, using points and a smoothed curve to show that binary stars in Virgo were orbiting each other. Code: github.com/drjohnrussel...

Redoing some CITI training for IRB and this question is hitting a little differently than it used to...

Day 21 of #30DayChartChallenge (fossils) It's easy using @ropensci.org's paleobioDB to find and plot Mesosaurus, a fossil important to the history of Plate Tectonics. By showing the fossils on each side of the Atlantic, Wegener theorized existence of Pangea. Code: github.com/drjohnrussel...

The NYC council voting for this downgrade was just such an own goal.

Day 20 of #30DayChartChallenge (urbanization) A. Parent-Duchalet's systematic look at prostitution was influenced by earlier work looking pragmatically at sewers, illuminating well the QuantCrit perspective that data is very much not inherently neutral. (1/2) Code: github.com/drjohnrussel...

Feedback is a gift - wanted to think through how to do this by using alpha as a variable to reveal the graphs underneath as W Playfair was thinking about. New Day 19 of #30DayChartChallenge. Code: github.com/drjohnrussel...

Day 19 of #30DayChartChallenge (time series-smooth) W Playfair's innovative use of charts included smoothing data over time series in order to show general effects over time. A reproduction in #rstats shows comparison of wages, cost of wheat, and monarch. Code: github.com/drjohnrussel...

Day 18 of #30DayChartChallenge (theme: el pais) El Pais' maps are without comparison, so for the chart I'm using @datavisfriendly.bsky.social's data in #rstats to recreate one of A. Guerry's maps of France. This one ranks departments of France by instruction. Code: github.com/drjohnrussel...

Day 17 of #30DayChartChallenge (birds) There are no bird datasets in @datavisfriendly.bsky.social's HistData, but #rstats 4.5 release has Penguins! I imagine a lot of people will be doing PCA and such, but I hadn't seen an alluvial of the infamous Palmer Dataset. github.com/drjohnrussel...

Day 16 of #30DayChartChallenge (negative) Halley was not just an astronomer, but like many of means then, made forays into other fields. Here is a life table made to understand relative cost of annuities, commenting on the different predictable negative slopes as we age github.com/drjohnrussel...

Day 15 of #30DayChartChallenge (complicated) In an early demonstration on time series, A. Bowley showed how data that looks turbulent show trends when you use rolling averages, using the value of British and Irish exports. Textbook image recreated in #rstats Code: github.com/drjohnrussel...

Day 14 of #30DayChartChallenge (kinship) Day 2 showed Galton's beginnings in correlation. Pearson and Lee thought odd that a regression didn't match the data, theorizing gender effects. They redid the study, showing linear regression matching a loess line. #rstats. Code: github.com/drjohnrussel...

Day 13 of #30DayChartChallenge (clusters) The idea of common datasets (think `mtcars`) is not new. D. Coleman built an artificial 3D dataset for the 1986 ASA data challenge, which shows an interesting cluster... Explore for yourself using #rstats and plotly! drjohnrussell.com/posts/2025-0...

Day 12 of #30DayChartChallenge (data . gov) I used RSocrata and NYCOpenData to pull @mta.info on congestion pricing to graph using #rstats The easiest way to see that it's working in changing behavior is the dip each weekday morning around 5am when prices increase Code: github.com/drjohnrussel...

Day 11 of #30DayChartChallenge (stripes) John Snow's Cholera Map has to be considered one of the most powerful visualizations made, considering how many thought diseases spread. Here density 'stripes' made in #rstats show death as relates to the Broad Street pump. Code: github.com/drjohnrussel...

These are AWESOME!

Day 10 of the #30DayChartChallenge (multimodal). Old Maps of the Great Lakes are collected by @datavisfriendly.bsky.social, where a pattern starts to appear in the error between where a point is on the map, and where it actually is. Separating it out by mapmaker separates the modes. (1/2)

Today I played around with the maquee package for text styling by @thomasp85.com. The custom styling system is very nice. Here is a simple example.

For this week's #TidyTuesday, we're looking at healthcare efficiency in the USA 👩‍⚕️ I wanted to create a very minimalist data-art plot, with tooltips that give more information 💬 🗺️ Map grid from {geofacet} 🦒 Interactive tooltips with {ggiraph} 🎨 Styling with CSS #DataViz #RStats #ggplot2

Day 9 of the #30DayChartChallenge (diverging) M. F. van Langren made what may be the first graph of statistical data when he published the divergence of distance estimates from Toledo to Rome (real answer in red). Paper: www.datavis.ca/papers/langr... Code in #rstats: github.com/drjohnrussel...

Day 8 of #30DayChartChallenge ("histograms") and it's back to @datavisfriendly.bsky.social's data in #rstats The Trial of the Pyx, where randomly chosen coins are placed in bags to check for standards, has been going on since 1282. A histogram shows the variance. Code: github.com/drjohnrussel...

A powerful chart for the last week of #DuBoisChallenge2025 by @datavizsociety.bsky.social (and @ajstarks.bsky.social). Love the humanizing of the legend. Plate 31. Made this inside out in #rstats, starting with the charts in the legend and pulling it all with patchwork. github.com/drjohnrussel...

Day 7 of #30DayChartChallenge is 'outliers', and I'm going slightly off script with this article, which makes an argument for a dataset that is nearly 50% outliers (more now)... The boxplot doesn't pick it up, but the dotplot does. jse.amstat.org/v13n1/datase... Code: github.com/drjohnrussel...

Day 6 of #30DayChartChallenge and the theme is "Florence Nightingale". Her graph had two goals: to show the effects of preventable disease and of the arrival of the Sanitary Corps It makes me think if we will be doing these in the opposite direction around USAID... Code: github.com/drjohnrussel...

Day 5 of #30DayChartChallenge is "Ranking". An early example of sampling is the Trial of the Pyx, where newly minted coins would be tested. This data, courtesy of @datavisfriendly.bsky.social , comes from 1848. Lower quality coins rank highly on the left side Code: github.com/drjohnrussel...

Not a lot of time today to work on the Day 4 prompt for #30DayChartChallenge, which is "Big or Small". At the turn of the 20th century, W.R. Macdonell published a dataset of criminals, used by Gossett (the infamous 'Student') to explore ideas of sampling. Code: github.com/drjohnrussel...

The Day 3 prompt for #30DayChartChallenge is "Circular" John Arbuthnot is widely credited as doing the first significance test by looking at baptisms within London each year, noticing that the ratio was tilted in the favor of men over a null hypothesis of 1/2. Code: github.com/drjohnrussel...

The Day 2 prompt for #30DayChartChallenge is "Slope" Francis Galton used data on the heights of parents and children to develop the concept of correlation and the regression line. Thanks to @datavisfriendly.bsky.social for the HistData package, which can recreate this work.

Day 1 of #30DayChartChallenge, I have a goal of working through @datavisfriendly.bsky.social 's historical datasets (not only because I loved the book, but because it helps understand where our work is situated).