Review of "Idéal standard" (4 stars): Beautiful lines!
Karsten W.
Born at 332ppm. Personal opinions here. #Rstats user.
(3/3)
- Oh sure, I'm an unseller. But wait, I don't unsell everything if it's more adequate for you and the planet. I can recommend this refurbished model, good as well and warranteed, but cheaper.
Girl #1: - Hey, I also recommended you this one!
Background voice: - Because unsellers don't exist, let's ask ourselves the right questions before buying.
(2/3)
Girl #1: This one is so good!
Girl #2: Are you sure?
Online unseller: - Hello, may I help you?
- My phone is fully broken, and we have spotted this model, what do you think?
- Ah it's terrific!
- You see, I told you so.
- But I don't recommend that you buy it.
- What...? You're not a very good seller, you.
#Sufficiency in France: The smartphone
#nowplaying Ivan Hajek. Gefunden durch eine Folge „Klassik, Pop etc“ von Marion Poschmann. Hörenswert!
@aRtsy_package Nice! How did you do it?
Consumer: Hello, I need to sand my table, which one would you buy?
Unseller: - Well, I would't take any!
- ... Sorry?
- I wouldn't buy any.
- You are a weird salesman.
- Oh not at all, me I'm an unseller, and what I find weird is to buy an object that you will use only once. Have you thought about leasing, or borrowing? It's better for the planet resources, and more economical for you.
Background voice: - Because unsellers don't exist, let's ask ourselves the right questions before buying.
9. Designing functions - Deep #Rstats Programming
https://deepr.gagolewski.com/chapter/210-design.html#managing-data-flow
geocompx - #Rstats resources
Karsten W. boosted:
Am Wochenende noch nix vor? Wir hätten da einen kleinen Filmtipp für euch: „Holy Shit” – der Film der #rp23-Sprecher Valentin Thurn und Ruben Abruna läuft jetzt im Kino. Ihren Talk könnt ihr euch hier zur Einstimmung anschauen ➡️ https://youtu.be/7W-TJsLdaYo #SustainableFriday #HolyShit #COP28
- Hello, I have a small issue with my machine, so I'd rather buy a new one. Which one do you recommend?
- none!
- Why...? Are your machines not good?
- Oh yes they are, but I don't recommend you buy one.
- I don't understand.
- Oh it's because I'm an unseller. Go first see our repair services. And if it's only a small problem, it should be easily repairable. And it'll be better for the planet and your wallet.
- Because unsellers don't exist, let's ask ourselves the right questions before buying.
#sufficiency in France:
The washing machine
Karsten W. boosted:
For those of you using #rstats base graphics, this might be a useful thing to put in your .Rprofile:
```{R}
pch <- function(new = TRUE){
if(new) dev.new()
par(mar = c(2, 2, 2, 2))
xpos <- rep(1:5, times = 5) - 0.5
ypos <- 5.1 - (rep(1:5, each = 5) - 0.5)
plot(x = xpos, y = ypos,
axes = FALSE, xlab = "", ylab = "",
xlim = c(0, 5), ylim = c(0, 5), pch = 1:25, cex = 6, bg = 4)
text(x = xpos, y = ypos - 0.4, labels = 1:25)
box()
}
```
Karsten W. boosted:
The EU Data Visualisation Guide was published last month
https://data.europa.eu/apps/data-visualisation-guide/
I wrote all the content for it, and I built the interactive publication in @sveltejs. It has 7 chapters and contains a ton of examples. You can search it for a topic, or use it as a guided course and browse from page to page. It basically condenses all I learned about data visualization in the past decade
Karsten W. boosted:
Kids these days don't know how good they have it
Karsten W. boosted:
How do you get started with installing and loading #RStats packages with #webR?
WebR makes it possible to run R code in the browser without the need for an R server to execute the code. But just running R isn't enough, you need the R packages you use every day too.
webR 0.2.0 makes many new packages available (10,324 packages - about 51% of CRAN!), and it's now possible to run #Shiny apps under webR, entirely client side.
Learn more from @gws on YouTube: https://www.youtube.com/watch?v=CRKuH3ISPgI
Interesting video on the new WebR 0.2 version:
https://youtu.be/Mpq9a6yMl_w?si=oq1TKs-lPSoMANxf
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst