iiinova — where your digital self keeps evolving

Michał Wypych @mwypych.bsky.social · 15/02/2026

I got a Garmin watch recently and went a rabbit hole trying to recreate its data viz in ggplot. It's so different from making regular report/dashboard plots! Recreating things made with other technologies is a great way to learn! Link: mic-wypych.github.io/posts/garmin... #ggplot2 #dataviz #rstats

heart rate plot: shows hear rate levels as a line chart within the last 4 hours

Garmin's sleep stages bar chart.
shows length of sleep stages across a week on a stacked bar chart

stress plot: shows stress levels as a bar chart within the last 4 hours

Garmin training readiness plot as a gauge plot

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Michał Wypych @mwypych.bsky.social · 30/01/2026

Got my first garmin and I'm fascinated by the #dataviz aspect of it. It never occured to me before how to fit an entire interactive plot on an 40mm display! I am 100% going to try and recreate that in #rstats

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Michał Wypych @mwypych.bsky.social · 18/12/2025

#Tidytuesday about roundabouts so I had to make a round plot. I tried to squeeze 3 plots in one. I didn't expect this dataset to be this fun! #rstats #dataviz #ggplot2 code: github.com/mic-wypych/t...

a round plot showing number of different types of roundabouts in each country. Countries are grouped by continent. Unsurprisingly USA has the most roundabouts

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Michał Wypych @mwypych.bsky.social · 19/11/2025

Why does writing R packages so often feel like performing some arcane rituals just to appease the cruel r cmd gods? If I got a dollar for every "no visible binding to global variable" or every hacky function to attach package suggested in dependencies... #rstats

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Michał Wypych @mwypych.bsky.social · 05/11/2025

Does anyone know of good extensions foe editing excel files that work in #positron? I tried excel viewer but it shows those weird notifications from wijmo. I'm trying to convince my colleagues to give it a try (they currently use Rstudio) and that would be a great thing for them. #rstats

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Michał Wypych @mwypych.bsky.social · 13/10/2025

Anyone had a similar issue after the latest positron update? I updated positron to the latest version and keep getting issues with extensions: "Some extensions are disabled due to version incompatibility". The extensions affected are e.g. Air so I guess they should be working? #rstats #postrion

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Michał Wypych @mwypych.bsky.social · 09/10/2025

Basketball #tidytuesday Adventures in {grid} part 2, tried to make a basketball court. code: github.com/mic-wypych/t... #rstats | #dataviz | #ggplot2

A plot showing eurobasket teams that made it to final four or won a title on plot styled as a basketbal lcourt

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Michał Wypych @mwypych.bsky.social · 03/10/2025

only a week late to #Tidytuesday! I started learning {grid} and while it's great its. so. many. iterations. One thing I learned so far: always draw by hand before coding! #rstats | #dataviz | #ggplot2

A combination of heatmap and stacked bar chart showing share of men & women chess players across games played and ranking in september 2025. Data from FIDE

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Michał Wypych @mwypych.bsky.social · 03/09/2025

#tidytuesday I looked at most active frog spotters and made a hopping cumulative plot. code: github.com/mic-wypych/t... #rstats #dataviz #ggplot2

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Michał Wypych @mwypych.bsky.social · 22/08/2025

I just won a very unfair battle with {renv} and I'm really proud. Only had to reinstall R, add 4 system level dependencies and a few other things along the way... #rstats

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Michał Wypych @mwypych.bsky.social · 08/08/2025

Another #tidytuesday. I looked at inequality data for Poland from 1986 to 2023. This one was largely inspired by W.E.B. Du Bois. code: github.com/mic-wypych/t... I love {ggforce} and the myriad options it opens. #rstats #dataviz #ggplot2

A plot showing gini coefficient in Poland from 1986 to 2023 and major events from Polish history from that period. Gini (tax adjusted) was generally around .3. The plot is red and black, in style inspired by W.E.B. Du Bois

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Michał Wypych @mwypych.bsky.social · 06/08/2025

I just got my copy of "Chart Art" for which I was super excited! The book arrived... but it's all in black and white. I'm not sure if the book is actually black and white (the reviews seems to suggest its not?) or sth is wrong with my copy? Has this happened to anyone? #dataviz #datavisualization

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Michał Wypych @mwypych.bsky.social · 03/08/2025

#tidytuesday Did shows on Netflix get longer with time? Not really but interestingly they cap at 60 hours with very few longer shows. code: github.com/mic-wypych/t... #rstats #ggplot2 #dataviz

a plot that shows runtime in hours vs release date of netflix shows. Just a few are longer than 60 hours but a lot are just under 60 hours with majority being much shorter (under 25 hours)

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Michał Wypych @mwypych.bsky.social · 19/07/2025

#Tidytuesday I looked at categories of funding of British Library. Sadly, all of them are down in 2023 with the peak in funding in 2006. code: github.com/mic-wypych/t... #rstats | #ggplot2 | #dataviz

A plot showing changes in funding of British library through categories of funding: GIA, investment, voluntary, services and others from 1998 to 2023. Sadly funding across all categories is down.

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Michał Wypych @mwypych.bsky.social · 09/07/2025

#tidytuesday about colors from the xkcd color survey! Colors are always fun to work with. I looked at overlaps in descriptions of colors given by participants of the survey. code: github.com/mic-wypych/t... #rstats #dataviz #ggplot2

a plot showing overlaps in descriptions of colors (purple, pink, blue, brown and green) from the xkcd color survey

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Michał Wypych @mwypych.bsky.social · 01/07/2025

This #Tidytuesday I looked at weekly gasoline prices in EU and US and the 2014 and 2022 invasions by Russia. Data for EU grabbed from EU weekly oil bulletin If you want to support Ukraine and brush up some data skills consider Workshops for Ukraine by @dariia.bsky.social! #ggplot2 #dataviz #rstats

The plot shows a trend of weekly gasoline prices in EU and US from 2013 to 2025 and highlights Russian annexation of Crimea and Russian invasion from 2022. While there was little impact in 2014 there was a significant spike in prices after the 2022 invasion started.

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Michał Wypych @mwypych.bsky.social · 25/06/2025

For this #TidyTuesday I made an animation showing measles lab confirmed cases per 100k in EU. Animation with {gganimate}, legend added with weird {magick} tricks. I'm not fully satisfied with this one, working with animations is tough! code: github.com/mic-wypych/t... #rstats #ggplot2 #dataviz

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Michał Wypych @mwypych.bsky.social · 17/06/2025

#tidytuesday week 24 I was curious about most common licenses used in the APIs, their categories and providers. Made simple plots but wanted to combine them together. code: github.com/mic-wypych/t... #rstats #dataviz #ggplot2

The plot shows MIT, Apache, Creative Commons, Other and missing licences from APIs guru data for Tidytuesday 2025-06-17. The plot is divided into two plots and a table. The left plot shows when of APIS in each category were added to APIs guru. CC and Apache licenses were added mainly post 2020. A lot of APIs with missing license were added before 2020. The right plot shows most common categories of APIS in each license type. The table shows most common providers for each type of API license

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Michał Wypych @mwypych.bsky.social · 11/06/2025

#tidytuesday week 23. I looked at judge appointments by US presidents and parties. The record goes to Reagan with 387 nominations (both terms). Data with beginning and end of term for each president are from Kaggle US presidents dataset. code: github.com/mic-wypych/t... #rstats #ggplot2 #dataviz

the plot shows judge appointments by US presidents from Washington to Obama. Color codes the party the president is from. Reagan appointed the most judges (387), Clinton was second (383). There were much fewer judges appointed in the XIX Century than in XX Century.

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Michał Wypych @mwypych.bsky.social · 05/06/2025

#tidytuesday, this time about the gutenberg project! I looked at coauthors - what are the age differences and what are the most common collections of coauthored books. For me this one was a lot more about wrangling the data than making a plot. code: github.com/mic-wypych/t... #dataviz #rstats

a histogram showing age differences of coauthors from gutenberg project. The average difference is 29.6 years but the most common difference is 5 years. The plot also shows a treemap with most common collections of coauthored books. Most common ones are culture, literature, young adult and history.

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Michał Wypych @mwypych.bsky.social · 29/05/2025

Hello #StatsSky, do you know of good resources on sensitivity analyses? Would be perfect if they are in #rstats. I know a few like the {tipr} , {EValue} or {sensemakr} packages but it feels a bit scattered and I feel a bit lost. I'm looking for something more comprehensive

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Michał Wypych @mwypych.bsky.social · 19/05/2025

I made a #shiny app! It allows you to check mean wages across a number of years at county level in Poland. A few minor tweaks are left to do but it works! Sorry to any non-Polish speakers, it's in Polish for now. link: micwypych-guswages.share.connect.posit.cloud #rstats #dataviz

micwypych-guswages.share.connect.posit.cloud

Ta aplikacja pozwala sprawdzić średnie pensje na poziomie powiatu od 2002 do 2023 roku. Wybierz rok aby zobaczyć mapę powiatów i rozkład pensji. W zakładkach można zobaczyć porównanie powiatów w danym roku oraz zmiany pensji w czasie

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Michał Wypych @mwypych.bsky.social · 30/04/2025

This #Tidytuesday is about the 2025 #UseR conference! I made a simple interactive plotly schedule for the event. You can browse the talks and look up the dates, times, speakers and abstracts. Working version: mic-wypych.github.io/user2025_sch... code: github.com/mic-wypych/t... #rstats #dataviz

An interactive plotly that shows talks in each room by time slot and date at 2025 useR! conference. The plot allows to hover above each talk to get more information like the speakers, title, date and time, description and information whether video recording will be available. The plot is made in cold blue shades with black text

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Michał Wypych @mwypych.bsky.social · 16/04/2025

Made my first #quarto extension with #Typst! Does anyone know how to store a quarto extension (and use it in a team) if I can't put it as a public repo on github? Ideally it would still be in version control (e.g. can I keep it on private github repo and push as zip to some google drive?) #rstats

a screenshot of frist 6 pages of a polish report made with quarto and Typst

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Michał Wypych @mwypych.bsky.social · 12/04/2025

Little late to #tidytuesday. This time I made a simple ggiraph that shows ranks of each state in various waiting time measures. code: github.com/mic-wypych/t... #rstats #dataviz

an interactive map showing ranks of all states in various medicaid waiting time measures for tidytuesday 2025-04-08

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Michał Wypych @mwypych.bsky.social · 03/04/2025

This week in #Tidytuesday I'm looking at top 5 ranked Pokemons in attack, defense and HP across generations. Defense and HP are way more stable than attack! It was fun thinking how to work on the generations to make this plot. code: github.com/mic-wypych/t... #rstats #dataviz #ggplot2

A plot showing top 5 ranked pokemons in attack, defense and HP across generations. Each generation represents all generations up to this one (so e.g. generation 3 is generations 1, 2 and 3) which allows me to show which pokemons topped which in these 3 attributes. Defense and HP are much more stable than attack. In Attack generations form 1 to 4 introduced a new strongest Pokémon. In Defense since generation 2 Schuckle is strongest and since generation 3 regirock was 2nd and Steelix 3rd. In HP Since generation 2 Blissey is on top and Chansey is 2nd. Top HP Pokémons are dominated by normal type, top defense are more varied: bug, rock, steel and water. Top attack Pokémons are dragon, ground, normal and rock

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Michał Wypych @mwypych.bsky.social · 04/03/2025

Does anyone know of good materials on suppression from #causalinference perspective? Papers about suppression usually say only about predictive power. And I think some of the stuff in McElreath's lectures (esp. lecture 6) suggests adding suppressors would bias stuff? I'm confused #rstats #stats

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Michał Wypych @mwypych.bsky.social · 05/02/2025

Simple #tidytuesday week 5: it's donuts! 🍩 Donut chart of Simpsons: who spoke the most words. #Dataviz in #rstats code: github.com/mic-wypych/t...

A donut chart showing all members of Simpsons family and what percentage of all words spoken are by them.
Homer: 42.29%
Marge: 19.35%
Bart: 17.49%
Lisa: 17.1%
Grampa: 3.57%
Mona: .14%
Virgil: .08%
Maggie: 0%
Marg

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Michał Wypych @mwypych.bsky.social · 12/12/2024

Really liked the week 46 #TidyTuesday data so I made another one, this time focusing on regime changes on various continents in each decade. I was initally really excited about this but ultimately I feel it just shows how much missing data there is, especially in Africa #rstats #Dataviz

A sankey chart showing changes in regimes types (communist, democracy, monarchy, interim and other/no data) on various continents/regions (Asia, Africa, Oceania, Americas, Europe) in each decade from 1950 to 2020. Data for all continents apart from Europe and Oceania has a lot of missing data.

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Michał Wypych @mwypych.bsky.social · 12/11/2024

Catching up on previous #TidyTuesday week 45 I looked at suffrage vs having women as a president in countries with presidential political system. I think it's actually the first time I used {geomtextpath}! #rstats #ggplot2 code: github.com/mic-wypych/t...

The plot shows number of countries having suffrage or not and number of countries having a women president or not in a given year from 1950 to 2020

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