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@radioeinsmusicbot@mastodonapp.uk
2025-11-11 14:24:48

🇺🇦 Auf radioeins läuft...
UB40:
🎵 Food For Thought
#NowPlaying #UB40
tudoparadjs.bandcamp.com/track
open.spotify.com/track/5YkkeIi

@krone@frawas.de
2025-12-11 20:13:27

Täter verschanzt - Mann angeschossen und lebensgefährlich verletzt #News #Nachrichten

Täter verschanzte sich - Mann angeschossen: Opfer und Tatverdächtiger tot
Am Donnerstagabend sind in Feldkirch (Vorarlberg) SchĂĽsse gefallen. Ein Mann brach mit schwersten Verletzungen zusammen. Sofort wurde eine ...

@datascience@genomic.social
2025-11-04 11:00:01

Polars is a lightning fast DataFrame library/in-memory query engine with parallel execution and cache efficiency. And now you can use is with the tidyverse syntax: #rstats

More Efficient Tidyverse Code, Using Polars in the Background
Polars is a cross-language tool for manipulating very large data. However, one drawback is that the R implementation has a syntax that will look odd to many R users who are not used to Python syntax. The objective of tidypolars is to improve the ease-of-use of Polars in R by providing tidyverse syntax to polars.

@seeingwithsound@mas.to
2025-11-03 21:05:49

Focused ultrasound pulses to mechanically destroy cancerous tissue without surgery, radiation, or chemotherapy thedebrief.org/its-a-game-chan

"It’s a Game-Changer for Cancer Care": Why a U.S. Cancer Breakthrough Reached Hong Kong Before Canada
Science, Tech and Defense for the Rebelliously Curious.

@tomww@mastodon.social
2025-11-26 23:29:16

Oh, das gefällt mir jetzt mal ganz ausserordentlich gut.
robbi5.de/tootframe/mastodon.s

tootframe - Fediverse Photo Frame
Display posted photos from a Fediverse account as a slideshow.

@datascience@genomic.social
2026-01-01 11:00:00

{purrr} has some lesser known functions that make handling of failing function calls easier: safely, quietly, possibly: #rstats

Wrap a function to capture errors — safely
Creates a modified version of .f that always succeeds. It returns a list with components result and error. If the function succeeds, result contains the returned value and error is NULL. If an error occurred, error is an error object and result is either NULL or otherwise.

@datascience@genomic.social
2026-01-08 11:00:00

Lets be honest, we spend too much time cleaning data. {janitor} can help with that: #rstats #datasciece

Simple Tools for Examining and Cleaning Dirty Data
The main janitor functions can: perfectly format data.frame column names; provide quick counts of variable combinations (i.e., frequency tables and crosstabs); and explore duplicate records. Other janitor functions nicely format the tabulation results. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R use…

@datascience@genomic.social
2025-12-03 11:00:01

Do you need better performance than what the standard #tidyverse functions have? {collapse} might be worth a look: sebkrantz.github.io/collapse/

Advanced and Fast Data Transformation in R
A large C/C++-based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust, and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), an…

@datascience@genomic.social
2025-11-30 11:00:00

I did not know about ggplot_build() before. It can come in handy in situations where you want to access computed metrics of a #ggplot. ggplot2.tidyverse.org/referenc

Build ggplot for rendering. — ggplot_build
build_ggplot() takes the plot object, and performs all steps necessary to produce an object that can be rendered. This function outputs two pieces: a list of data frames (one for each layer), and a panel object, which contain all information about axis limits, breaks etc. The ggplot_build() function is vestigial and build_ggplot() should be used instead.