dslc-io.github.io/tidytuesdayR/
dslc-io.github.io/tidytuesdayR/
It got it...mostly right, but I ended up borrowing some of the code from @jonthegeek.com's helpful README 🙏 (my prompting could be improved)
github.com/rfordatascie...
It got it...mostly right, but I ended up borrowing some of the code from @jonthegeek.com's helpful README 🙏 (my prompting could be improved)
github.com/rfordatascie...
Shout out to @emilhvitfeldt.bsky.social for the {animalshelter} and {palmtrees} packages.
Shout out to @emilhvitfeldt.bsky.social for the {animalshelter} and {palmtrees} packages.
github.com/rfordatascie...
github.com/rfordatascie...
github.com/rfordatascie...
github.com/rfordatascie...
1 Nearest stacks (Wilkinson)
2 Smoothed stacks
3 Smoothed hexagonal grid
4 Exact position (beeswarm)
Smoothing trades delta-x for spikiness (deviation from kernel density estimate).
1 Nearest stacks (Wilkinson)
2 Smoothed stacks
3 Smoothed hexagonal grid
4 Exact position (beeswarm)
Smoothing trades delta-x for spikiness (deviation from kernel density estimate).
#rstats
https://cran.r-project.org/package=volcanoes
#rstats
https://cran.r-project.org/package=volcanoes
3️⃣ Master the functionality. For example, explore the BIN based diversity of Cichlidae (fish) based on all the public data available on BOLD. Identify how many BINs have multiple species and how species have multiple BINs.
#RLanguage #RForDataScience #Biodiversity #NatureTech
3️⃣ Master the functionality. For example, explore the BIN based diversity of Cichlidae (fish) based on all the public data available on BOLD. Identify how many BINs have multiple species and how species have multiple BINs.
#RLanguage #RForDataScience #Biodiversity #NatureTech
📁https://tidytues.day/2023/2023-08-01
🗞️https://en.wikipedia.org/wiki/List_of_states_and_territories_of_the_United_States
#RStats #DataViz #PyData #tidyverse #r4ds
📁https://tidytues.day/2023/2023-08-01
🗞️https://en.wikipedia.org/wiki/List_of_states_and_territories_of_the_United_States
#RStats #DataViz #PyData #tidyverse #r4ds
Folks generally post what they did with the current week’s dataset, because it’s cool to see what people can do with the same data.
I’ve only participated once (pre-COVID, in person, back when it was R-focused). Was fun!
Folks generally post what they did with the current week’s dataset, because it’s cool to see what people can do with the same data.
I’ve only participated once (pre-COVID, in person, back when it was R-focused). Was fun!
Da werden wöchentlich teilweise recht skurrile Daten veröffentlicht:
@aloa5.bsky.social
Da werden wöchentlich teilweise recht skurrile Daten veröffentlicht:
@aloa5.bsky.social
I'll walk through how to do that at pos.it/dslab next week!
I'll walk through how to do that at pos.it/dslab next week!
- I trim the credit when it would lead to >300 characters.
- Bug: I count bytes, not chars; bsky uses chars (👩🔬 and x are each 1 char)
- Bsky counts the parts of links that *display* in posts, not the full link. I don't know how to predict that yet.
See github.com/rfordatascie...
- I trim the credit when it would lead to >300 characters.
- Bug: I count bytes, not chars; bsky uses chars (👩🔬 and x are each 1 char)
- Bsky counts the parts of links that *display* in posts, not the full link. I don't know how to predict that yet.
See github.com/rfordatascie...
I assume @ellishughes.bsky.social edited the logo manually. I might have to see if I can make those match the font better!
I assume @ellishughes.bsky.social edited the logo manually. I might have to see if I can make those match the font better!
If you'd like to share it with our users sooner than we might get to it, we'd love a pull request! Instructions are here: github.com/rfordatascie...
If you'd like to share it with our users sooner than we might get to it, we'd love a pull request! Instructions are here: github.com/rfordatascie...