iiinova — where your digital self keeps evolving

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Topi Tjukanov @tjukanov.bsky.social · 01/10/2026

Next month is November, which means the #30DayMapChallenge 2026 themes are here! More information on the official website: 30daymapchallenge.com

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Grant McDermott @gmcd.bsky.social · 28/09/2026

𝐭𝐢𝐧𝐲𝐩𝐥𝐨𝐭 v0.8.0 now available on CRAN 🎉 grantmcdermott.com/tinyplot/ This is another big release: new plot types, finer facet & axis control, smarter handling of categorical data, and lots more. Same tiny footprint, though. Short highlight thread below 🧵 #rstats

Heatmap of the mtcars dataset, scaled within each column. Code: https://github.com/grantmcdermott/tinyplot/blob/main/vignettes/gallery_figs/heatmap-mtcars.R

Histogram of New York temperatures, with bars coloured by their own x values. Code: plt(~ Temp | Temp, data = airquality, type = "hist", theme = "classic")

Hexbin plot of 20,000 bivariate normal draws. Code: https://github.com/grantmcdermott/tinyplot/blob/main/vignettes/gallery_figs/hexbin.R

Stacked area plot of telephones in use by world region, 1956-1961. Code: plt(WorldPhones[-1, ], type = type_area(stack = TRUE, byord = "end"))

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Rajo @rajodm.bsky.social · 24/09/2026

re-up because the previous version was not easy to read (or misleading? check the gh repo) #TidyTuesday 2026 week 38 Overall, African cities have seen their green space quietly disappear code: github.com/rajodm/TidyT... #dataviz #rstats #ggplot2

Histogram showing African cities' green space share falling across four decades (1990–2020); nearly all cities cluster under 5% green space, and by 2020 the median was just 4.12%, the lowest of the four decades.

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Jer Thorp @jerthorp.bsky.social · 18/09/2026

Friends! Can I ask you a favour? My 🐦 + 📊 course starts next week. I'm super excited but registration is worryingly low. Can you share this with your weirdo nature + art + code friends? jerthorp.me/learning

jerthorp.me

LEARNING | jerthorp

Online courses and wokshops about birds, data and creative coding. Binoculars to Binomials is for coders who are interested in cultivating an observational practice, and for birders who want to dive ...

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Rob Calver @robcalver.bsky.social · 16/09/2026

I am giving away a free copy of the brilliant book, 'Analytic Methods in Sports' by Tom Severini. Just like, repost, and follow, and I will randomly select a winner on Friday! 😀 #Statistics #DataScience #SportsAnalytics #RStats #Baseball #Football #Basketball www.routledge.com/9781032836003

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Jon Harmon (he/him/his) @jonthegeek.com · 16/09/2026

Buuuut... I *like* writing code.

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Kelly Bodwin @kellybodwin.com · 16/09/2026

👏👏👏 to @liomys.mx for calling out the issue of academic works citing the IDE instead of the language/packages!

A slide containing many snippets of text from academic papers saying "analysis was performed with RStudio"

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Julia Silge @juliasilge.com · 15/09/2026

Wow, we had some BAD technical difficulties at our #positconf26 talk today 😩 but I put up the demo videos here for folks to check out! 👀 juliasilge.github.io/posit-conf-2...

juliasilge.github.io

SQL as a first-class language in your data science IDE

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Jakub Nowosad @jakubnowosad.com · 13/09/2026

Missed the OpenGeoHub Earth Observation Summer School 2026? 🛰️ You can now explore the slides, links, and other course materials from the sessions in one place: github.com/Nowosad/OGH_... #EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

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Ana Martinovici @anamartinovici.bsky.social · 08/09/2026

Workshop done 😀 since I anyway put together a list of resources, I'm going to share it in this thread. So here we go, my top recommendations for how to improve computational reproducibility of your work

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Jakub Nowosad @jakubnowosad.com · 09/09/2026

Working with OpenStreetMap data in R? 🗺️ Louis Laurian and Timothée Giraud have put together a "Cheat sheet for using OpenStreetMap with R". zenodo.org/records/2084... #rstats #OpenStreetMap #RSpatial

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Rajo @rajodm.bsky.social · 08/09/2026

#TidyTuesday 2026 week 35 Mapped the places in France that appear on Castlemap's top 100 global ranking. Data: Castelmap, curated from Wikidata Code: github.com/rajodm/TidyT... #dataviz #rstats #tmap

Map of France (left panel) showing 349 castles, fortresses, and ruins, with 13 highlighted as ranking in Castlemap's global top 100. The 13 sites cluster in 3 regions and are shown in 3 instet maps on the right side of the map: Île-de-France (8, including the Élisée Palace, Palais-Royal, Tuileries Palace, Louvre Palace, Bastille, Luxembourg Palace, Palace of Versailles, and Palace of Fontainebleau), Centre–Val de Loire (3, including Château de Chambord, Château d'Ambroise, and Château de Chenonceau), and Provence-Alpes-Côte d'Azur (2, including Palais des Papes and Château d'If).

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · 26/08/2026

Working with spatial data in R? The terra cheat sheet is a quick reference for raster/vector operations, projections, plotting, and more. Check it at rspatial.org/_static/terra_cheatshe… #rstats #GISchat #rspatial

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RedPen/BlackPen @redpenblackpen.bsky.social · 07/08/2026

Tag yourself with your current location!

A map in the style of Tolkein titled 'The Map of Manuscript Earth'. This is something I'm calling 'artography' - and it lists lots of geographic locations on the way to submitting a (scientific) manuscript.

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Animated Antic @animatedantic.bsky.social · 19/08/2026

Laika just dropped the latest trailer for Wildwood and I'm still genuinely amazed at how good the stop motion is. It's no wonder this film took so long in production because the level of craftsmanship on display here is staggering. I can't wait to see this after so long.

youtube.com

Wildwood – Official Trailer

YouTube video by LAIKA Studios

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Jakub Nowosad @jakubnowosad.com · 19/08/2026

New slides from the Earth Observation Summer School 2026 in Istanbul 🇹🇷 "Building reproducible spatial workflows in R": a tour of functions, iterations, and choosing the right spatial tools -- from sf/terra to wk/geos/gdalraster. Slides + code: jakubnowosad.com/ogh2026/docs... #rstats #rspatial

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Rajo @rajodm.bsky.social · 18/08/2026

#TidyTuesday 2026 week 33 IELTS test-takers in the 2024–2025 cohort taking the exam for educational purposes mostly scored band scores of 5–7 code: github.com/rajodm/TidyT... #dataviz #rstats #ggplot2

A Sankey diagram showing how International English Language Testing System (IELTS) test-takers performed in 2024–2025 for educational purposes. The chart flows from the stated reason for taking the exam (first column) to the type of exam taken (second column) to the band score (third column). It is highlighted that approximately 76% of test-takers in the cohort scored between 5 and 7. A band score of 6 (20.23%) was the most common.

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Aki Vehtari @avehtari.bsky.social · 13/08/2026

All four books I've co-authored are freely available online for non-commercial use: - Bayesian Workflow at avehtari.github.io/Bayesian-Wor... Links to other three books are in the quoted post 👇 (too many books to fit in one post!)

avehtari.github.io

Bayesian Workflow book: Website – Bayesian Workflow book

Website for the Bayesian Workflow book by Gelman, Vehtari, McElreath, et al. — case studies, code, and exercises in R and Stan.

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David Schoch @schochastics.net · 10/07/2026

A side project I've been working on is public now: vellumverse, an #Rstats graphics stack built on a Rust backend. vellum sits where grid does but renders in Rust. vellumplot is the grammar on top and vellumwidget turns any plot into an interactive widget. Feedback welcome ☺️ github.com/r-vellum

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Michael Caley @michaelcaley.bsky.social · 09/07/2026

I did it I wrote the article wish me luck Lionel Messi is the GOAT, Ronaldo is not, why just about every statistical analyst agress www.expectinggoals.com/p/messi-rona...

expectinggoals.com

Why Messi keeps thriving as Ronaldo fades: The GOAT's always been the best

I'm not proud, or tired

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Rob Calver @robcalver.bsky.social · 02/07/2026

I am giving away a free copy of the #BayesianWorkflow book by @statmodeling.bsky.social, @avehtari.bsky.social, @rmcelreath.bsky.social et al!! Please like, repost, and follow to enter. I will randomly draw the winner next Weds July 8. 😀 routledge.com/9780367490140 #RStats #DataScience #Bayesian

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Rajo @rajodm.bsky.social · 29/06/2026

A simple map for #TidyTuesday 2026 week 26 on Ireland shipwrecks. Code: github.com/rajodm/TidyT... #dataviz #rstats #ggplot2

Map of Ireland and surrounding waters on a dark blue bathymetric background, with 3,564 yellow-green points marking shipwreck locations from 1550 to 2017 clustered along the coastline and scattered across the continental shelf.

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Timothée Giraud @rcarto.fosstodon.org.ap.brid.gy · 25/06/2026

This new cheat sheet guides users on how to use OpenStreetMap data and related tools with R for: geocoding, routing, downloading base maps and datasets. You can download the PDF here: zenodo.org/records/20842874/files/c… Many thanks […] [Original post on fosstodon.org]

Cheat sheet on how to use OpenStreetMap data and tools from R. Main packages are described.

Cheat sheet on how to use OpenStreetMap data and tools from R. A script is given as an example of how to use various packages.

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Mickaël CANOUIL, Ph.D. @mickael.canouil.fr · 18/06/2026

When tips and tricks from Cara Thompson, for better visualisation leads to making improvements to Gribouille in #Typst. Check out the talk materials, given yesterday at #RencontresR 2026. www.cararthompson.com/talks/rencon...

Line chart. Season (1 to 10) on the x-axis, number of creations on the y-axis (0 to 30). Three series marked by icons: chocolate, raspberry, and orange. Chocolate swings sharply between 19 and 30 creations across seasons 1 to 7 (the "Mary Berry years"), then drops to 12 to 15. Raspberry and orange stay low, between 4 and 13, tracking each other closely. Chocolate leads in every season except season 8, where orange briefly overtakes it.

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Moritz Stefaner / Truth & Beauty @moritzstefaner.bsky.social · 11/06/2026

✨ New project! ✨ Mapping the hidden infrastructure which connects to >70% of plants, extends root networks up to 100x and reaches a length of 1 BILLION times the distance to the sun 🤯 Arbuscular mycorrhizal fungi! Learn all about them here: a-hidden-infrastructure.spun.earth w/ @spun.earth 💚

a-hidden-infrastructure.spun.earth

A hidden infrastructure

Mapping Earth’s underground mycorrhizal fungal networks — the hidden infrastructure beneath our feet.

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Emil Hvitfeldt @emilhvitfeldt.bsky.social · 03/06/2026

Back with (yet another) quarto extension! Adding ways to create diagrams of different kinds and shapes using a unified syntax and styling Now providing the following types of diagrams pie, process, pyramid, matrix, hierarchy, venn, and more. emilhvitfeldt.com/post/quarto-... #quarto #slidecrafting

emilhvitfeldt.com

Announcing quarto-diagrams

quarto-diagrams is a new Quarto extension that adds a collection of circular and structured diagram styles.

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Sebastian Hanika @sebhanika.bsky.social · 02/06/2026

Josephine Rekers and I made a map! Our contribution to the new Geographica section in @tesg-journal.bsky.social Using both the pace and level of ageing, we highlight the "messy middle" of the urban–rural spectrum and the diverse regional ageing trajectories. doi.org/10.1111/tesg...

Map of Sweden titled "Subnational Population Ageing in Sweden, 1988–2023". The figure presents the results of a sequence analysis combining both the level and pace of population ageing in Swedish municipalities.

Ageing trajectories are grouped into four clusters: Stable Young (blue), Delayed Ageing (light orange), Accelerated Ageing (dark orange), and Old & Ageing (dark purple). Sequence plots explain the classification. In these plots, colour hue indicates the level of ageing (blue = younger, orange = intermediate, purple = older populations), while shading indicates the pace of ageing (light = de-ageing, medium = slow ageing, dark = fast ageing).

The map shows clear spatial variation in ageing trajectories. Municipalities around Stockholm are predominantly classified as Stable Young, while many municipalities in northern Sweden fall into the Accelerated Ageing or Old & Ageing clusters. Southern Sweden contains a mix of Delayed and Accelerated Ageing trajectories.

A bar chart compares the four ageing clusters with conventional urban–rural categories. While large cities are predominantly Stable Young and rural municipalities are more often Old & Ageing, medium-sized and small cities are distributed across all four clusters. This highlights substantial variation within the urban–rural spectrum and suggests that regional ageing patterns cannot be fully understood through a simple urban–rural divide.

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Rajo @rajodm.bsky.social · 02/06/2026

A look at maternity leave across 21 European countries in 2024 for #TidyTuesday week 22 Data: European Parenting Leave Policies Code: github.com/rajodm/TidyT... #dataviz #rstats #ggplot2

Horizontal bar chart titled "European Maternity Leave in 2024: Who Gives the Most Time?" showing mandatory (solid dark green) and voluntary (striped) maternity leave duration in weeks, before and after birth for 21 European countries. Italy (22 weeks, 9 before birth and 13 after birth) and Poland (20 weeks postpartum) lead in mandatory leave. Ireland offers the longest total postpartum leave at up to 40 weeks when voluntary leave is included. Lithuania and Estonia have no mandatory leave.

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Rajo @rajodm.bsky.social · 29/05/2026

Here's my contribution for the #dataviz trend on palindromic place names: A map showing the palindromic places in Madagascar according to GeoNames.org. The code used for the map is based on @ansgarw.bsky.social #rstats code: github.com/bydata/rando... #ggplot2

A map of Madagascar showing 9 palindromic places names (spelled the same way backward as forward) according to GeoNames.org data. Five out of nine share the same name: "Anena"

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Mickaël CANOUIL, Ph.D. @mickael.canouil.fr · 26/05/2026

Showcasing Gribouille (Grammar of Graphics for #Typst) with #TidyTuesday

Two stacked-area panels of renewable energy by source, 1990 to 2010. Vietnam's traditional biomass band shrinks and its renewable share falls from 76% to 35%, while Germany's modern bioenergy and wind and solar grow and its share rises from 2% to 11%.

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Information is Beautiful @infobeautiful.bsky.social · 19/05/2026

Africa's electricity access, country by country. Some leaps. Some crawls. One notable slide backwards. But a massive shift over just 10 years. source: World Bank by reddit user cavedave

Small multiples boxed cartogram titled 'African Access to Electricity, 2012 vs 2022' showing slope charts for each African country. Each chart displays the percentage of population with electricity access in 2012 and 2022, with blue shading for gains and red for losses. North African countries lead with near-universal access (Morocco 96→100, Algeria 100→100, Tunisia 100→100, Egypt 100→100). Notable gains include Kenya (38→76), Ethiopia (55→8→55→65 area), and Rwanda (15→51). Libya is a rare loss, dropping from 100 to 79. Many sub-Saharan countries remain low but improving, such as Chad (8→12), South Sudan (3→8), and DR Congo (29→47). Mauritius (99→100) and Seychelles (100→100) have full or near-full access. Source: World Bank, World Development Indicators.

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Georgios Karamanis @karaman.is · 14/05/2026

This week's #TidyTuesday is about twin cities. I built a scrollytelling map about Rio de Janeiro's 93 sister city agreements Made with Quarto and Closeread Interactive: 019e2679-54db-2e9a-2e03-8bbc8b92210f.share.connect.posit.cloud Code: github.com/gkaramanis/t... #RStats #dataviz

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Mickaël CANOUIL, Ph.D. @mickael.canouil.fr · 14/05/2026

One Quarto source. A deck and a report. Quarto Cascade repeats the heading chain on every `---` (including `---` nested inside a Div). github.com/mcanouil/quarto-revealjs-cascade #Quarto #QuartoPub #Slidecrafting #RevealJS

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Teun van den Brand @teunbrand.bsky.social · 13/05/2026

I'm please to celebrate that legendry 0.3.0 has hit the streets on CRAN 🎉 Legendry is a ggplot2 extension that lets you draw more guides. Read about all the guide goodness in this minor update here: teunbrand.github.io/teunbrand_bl... #rstats #ggplot2

teunbrand.github.io

Symbolic update – Blog | Teun van den Brand

The latest and greatest in guide fashion.

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David Hodge @davidhodge931.bsky.social · 07/05/2026

Part 1 of 5: Introducing a complete rethink and rewrite of #ggblanket. The original goal of simplifying no longer made so much sense what with llms. So I refocused it on the design aspect: provide a way to produce consistent publication quality plots with minimal effort. #rstats

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Rajo @rajodm.bsky.social · 05/05/2026

Explored Italian industrial textile production for #TidyTuesday week 18 Code: github.com/rajodm/TidyT... #dataviz #rstats #ggplot2

Two marimekko charts showing Italian industrial textile production by fiber type from 1934-1985, separated into yarn (top) and textiles (bottom). Cotton in yellow consistently represents the largest share with flock in brown and other fibers in purple making up smaller portions.

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Rajo @rajodm.bsky.social · 05/05/2026

Inline outputs for #Quarto documents in #Positron are finally here!

Screenshot of Posit's Positron IDE showing a Quarto markdown file with code chunk output displayed inline beneath the code

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Rajo @rajodm.bsky.social · 30/04/2026

Since the RSF World Press Freedom Index 2026 is out, here's an update of my Day 6 entry, for #30DayChartChallenge #Day17 - Remake Code: github.com/rajodm/30Day... #dataviz #rstats #ggplot2

Small multiples slope chart of Reporters Without Borders Press Freedom Index scores for African countries, comparing 2025 to 2026. A table at the bottom right of the chart shows that only 24 (45.3%) of 53 countries showed improvement compared to 2025, the score remained the same as in 2025 for 7 (13.2%) countries, and the score decreased for 22 (41.5%) countries.

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Rajo @rajodm.bsky.social · 25/04/2026

#30DayChartChallenge #Day24 Timeseries - South China Morning Post P. vivax parasite rate surveys across Asia reported in the Malaria Atlas Project Code: github.com/rajodm/30Day... #dataviz #rstats #ggplot2

Bubble chart showing Plasmodium vivax malaria parasite rate (PR) from surveys reported in the Malaria Atlas Project across 21 Asian countries from 1985 to 2018. Each bubble represents a survey with size indicating the number of people examined and colour indicating the weighted mean parasite rate on a yellow-to-dark-purple scale (0 to 0.26). India and Indonesia have the most surveys (28 and 27 respectively) with consistent coverage across all years. Notable annotations highlight the largest survey in Afghanistan in 2005 (40,200 persons), the highest parasite rate in China (0.26 in 2002), a PR of 0.25 in the Philippines in 1991, and a 1995 India survey of nearly 17,000 people with a PR of 0.12.

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Manasseh @manasseh6.bsky.social · 22/04/2026

Global Health Spending for #TidyTuesday, week 16. #Rstats #Dataviz #ggplot2

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Rajo @rajodm.bsky.social · 21/04/2026

#30DayChartChallenge #Day18 UNICEF data Malnutrition takes different forms across income levels. Among children under 5, stunting remains alarmingly high while overweight keeps slowly rising. Code: github.com/rajodm/30Day... #dataviz #rstats #ggplot2

Line chart showing trends in overweight and stunting prevalence among children under 5 from 2000 to 2024, split horizontally into four panels by country income group (from left to right: high, upper middle, lower middle, and low income) and vertically into overweight on top and stunting below. Overweight prevalence (top row, grey) remain low across all income groups with a slight upward trend. Stunting prevalence (bottom row, red) are much higher in lower middle and low income countries but have declined substantially over the period. Each panel shows individual country lines in the background and a bold line representing the group average.

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Rajo @rajodm.bsky.social · 16/04/2026

2 days late and maybe not literally about trade, but here's my entry for #Day14 of the #30DayChartChallenge Relationships - Trade: The trade-off between access and use of insecticide-treated nets across African countries Code: github.com/rajodm/30Day... #dataviz #rstats #ggplot2

Dumbbell plot comparing insecticide-treated net (ITN) access and use across 40 African countries in 2024, ordered by use rate. Each country has two dots connected by a line (blue for use and red for brown). Countries at the top such as Burkina Faso, Gambia, Niger and Malawi have the highest use rates (above 96.5%), while Ethiopia, Nigeria, and Eritrea have the lowest (lower than 73%). Notable annotations highlight Niger's high ITN adoption, Togo's 85% access rate as the highest in Africa, Gabon's very low coverage of around 10%, and a cluster of low-coverage countries including Ethiopia, Nigeria, Eritrea, Angola, Djibouti, Somalia, Mauritania, and Madagascar highlighted in orange.

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Rajo @rajodm.bsky.social · 13/04/2026

A beeswarm plot of Plasmodium falciparum malaria incidence by country, among countries with detected cases (2024) for #30DayChartChallenge #Day12 theme day - FlowingData Code: github.com/rajodm/30Day... #dataviz #rstats #ggplot2

Beeswarm plot showing Plasmodium falciparum incidence rates per 1,000 people across countries in 2024 on a dark background. Each dot represents a country colored on a gradient from blue (low incidence) to red (high incidence). A large cluster of blue dots sits near zero, representing the majority of countries with negligible Plasmodium falciparum transmission. The median line is at 52.38 cases per 1,000. Benin is highlighted as the highest-burden outlier at 364.52 cases per 1,000.

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Louis M Penrod @louismpenrod.bsky.social · 13/04/2026

#30DayChartChallenge #Day13 – Ecosystems. Well, a digital ecosystem. Radial plots of the relative abundance of monsters in the Stardew Valley mines per zone. Each zone has its unique "ecosystem" composed of different organisms that appear at different rates. #DataViz #Rstats

Four radial bar charts arranged vertically, each representing one zone of the Stardew Valley mines: Brown, Gray, Frozen, and Lava. Each chart shows the relative frequency of monster types found in that zone, with bars radiating outward from the center. A pixel art image of each monster type sits at the tip of its corresponding bar. An example level from the game shown next to each plot. The charts reveal how the monster community composition shifts as you descend deeper into the mines.

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Rajo @rajodm.bsky.social · 12/04/2026

#30DayChartChallenge #Day11 Distributions - Physical How long is the walk to the nearest healthcare facility in Madagascar? Code: github.com/rajodm/30Day... #dataviz #rstats #ggplot2 #tmap

Combined 1x1 km raster map (left) and bar chart (right), titled "The long walk to care" showing the distribution of walking travel time to the nearest healthcare facility in Madagascar (2020). The map uses a yellow to dark teal colour scale to show travel times across the country. The bar chart shows that the largest share of the population lives between 60 and 180 minutes (walking time) from a facility, followed by those between 180 and 600 minutes.

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Rajo @rajodm.bsky.social · 11/04/2026

Just a remake of the day 9 map on ITN access and use in Nigeria with a Lego style for #30DayChartChallenge #Day10 Code: github.com/rajodm/30Day... Source of inspiration: r-graph-gallery.com/web-chorople... (by @bjnnowak.bsky.social) #dataviz #rstats #ggplot2

Bivariate choropleth map of Nigeria showing insecticide-treated net (ITN) access and use in 2024 with a lego style. Northern states show the highest access and use (orange), while southern coastal states show the lowest (purple and blue). A 4×4 colour legend encodes the two dimensions: ITN access on the x-axis (16.7%-82.0%) and ITN use on the y-axis (9.2%-65.9%).

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Cédric Scherer @cedricscherer.com · 10/04/2026

New lesson live 🚀 Before starting to talk about #maps with #ggplot2, we cover "Spatial Data". 🧱 What are the building blocks? 🌉 What is the SF revolution? 🍊 How to peel an orange? (Wait, what?!) Curious to learn more? This lesson is freely available 👐 www.ggplot2-uncharted.com/module5/spat...

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