In the Netherlands less from UK, more from EU.
Posts by Martine Jansen
Thanks MickaΓ«l! That works! I even sort of found out how to set background color of h1 to transparent. Unfortunately when I add a backgroundpicture to the slide, the background of the title shows the the original level 1 slide bckgrndcolor . While i was hoping it would be transparent. A suggestion?
Day 12 of the #30DayChartChallenge, FlowingData
Sankeyplot with gradient, made with #rstats , #ggplot2 and a function from my wisselstroom package. Where do havo graduates in the Netherlands continue their education, flows per profile and destination (type and sector). Data: duo.nl/open_onderwi...
Scatterplot with facets per income group parents, on x axis drop out rates, on y axis years from 2013 to 2022. Dots show dropout rate is slightly higher when income parents is lower, and dropout during covid years 2019 and 2020 is lower.
Day 9 of the #30DayChartChallenge, Wealth
Made with #rstats and #ggplot2. The chart is about drop out rates first year Dutch bachelor students in higher professional education related to parents income. Data from page 25 in www.onderwijsinspectie.nl/documenten/2....
Anyone a suggestion on how to have two different stylings for a level1 heading in a #quarto #revealjs presentation? I have one style now in my .scss, but sometimes I need a level 1 that is a bit different.
Broken young statisticians mug, surrounded by little decorative easter chicklets
Unfortunately I dropped this nice #vvsor young statisticians mug. @vvsor.nl , do you have a suggestion how I can get a new one?
Day 4 of the #30DayChartChallenge, Slope
Made with #rstats and #ggplot2. The chart is about exam pass rates with data from opendata.cbs.nl. The nice {geomtextpath} allows the legend to be part of the lines.
Day 3 of the #30DayChartChallenge, Mosaic
Made with #rstats and #ggplot2. The data is from duo.nl/open_onderwi... . The plot describes what the next step in education is for graduates from secondary education in the Netherlands.
2 plots showing time to degree for students that did not switch (left) and did switch (right)
Day 2 of the #30DayChartChallenge, Pictogram
Made with #rstats and #ggplot2. The data is from duo.nl/open_onderwi..., p 154. I used `{showtext}` so I could have the cap via unicode \uf19d in a `geom_text()`.
Day 1 of the #30DayChartChallenge, Part-to-Whole
Made with #rstats and #ggplot2. The data is from www.ocwincijfers.nl/sectoren/pri... . I got the fonts the way I wanted thanks to www.cararthompson.com/posts/2024-0..., the nice retro color palette is from www.schemecolor.com/retro-blue-a....
"Developers who fully delegated to AI produced working code but failed conceptual quizzes afterward. They couldn't debug what the AI had written for them. They had the output without the understanding."
A banner with the prompts for the 6th edition of the #30DayChartChallenge.
Are you ready for the next #30DayChartChallenge? π
Only 2 weeks left until the 6th edition starts β itβs time to reveal this year's topics π
1 prompt for each day of April across 5 categories to spark inspiration, experimentation, and learning π
Whoβs in? π
#dataviz #datavisualization
CRanbeRRy pie π
About to start: Publiek Domeindag van oa de Koninklijke Bibliotheek
WE WANT YOU! π«΅
Our organiser @kylieainslie.bsky.social is leaving us to go Down Under. π¦ We're looking for new organisers to continue with @josefina-bernardo.bsky.social to keep @rladiesamsterdam.bsky.social the wonderful community it is. If you're in NL and interested, please get in touch! π
The trouble with t(r)ibbles
Flyer for a gradual intro to shiny workshop on February 7 at 8:00 AM PST - url to register is in post
I'll be teaching a short intro to Shiny workshop for @rladiesremote.bsky.social on February 17! Registration details are below, or you can register by going here: meetu.ps/e/PQt4g/ypHs... #shiny #rstats #databs
View the presentation recording on YouTube:
youtu.be/Q8A5NEmRxyM?...
Interested talk! I signed up for the mailing list. When can I expect to hear something from?
We are responding to this call for evidence:
ec.europa.eu/info/law/bet...
Do you have concrete examples of the added value of #Rstats in the public or private sectors?
Include the most important factors (risk, lock-in, security, innovation...) to assess the added value.
Thanks!
stats.sender.net/forms/e7JD1d...
It turned out that some of Euclid's theorems, which worked so well on the pages of The Elements, broke down on the surface of a sphere.
Yes! I can now make a number of rendered tables with their captions and (unique) labels so that the captions show.
it does, but not rendered. I think (hope) pre-rendering will do the trick, like is described in www.andrewheiss.com/blog/2024/11...
Unfortunately the cap in `tt()` also gets repeated in code, not evaluated. But thank you for the suggestion!
Thank you! This look promising. It runs, it makes a (variable) bunch of tables. Almost there. Now a way to hide the code on the page (#| echo: false or in the topline echo=FALSE gets printed, but not evaluated). And a bit of puzzling to also let it make matching captions.
Anyone a solution for how to generate in an #rstats #quarto doc a certain number of R chunks each making a table, each with their own label and caption? I am making a lot of docs, and each one has their own set of tables. I was thinking of a function that spits out multiple R chunks with options?