Recent @DSLC club meetings:
The Art of Data Visualization with ggplot2: The TidyTuesday Cookbook: Doctors across the world: making maps with ggplot2 https://youtu.be/rBTQuK-yQg0 #RStats #DataViz #ggplot2 #TidyTuesday
From the @DSLC chives:
Mastering Shiny: Layout, themes, HTML https://youtu.be/H7fjO6f-8xs #PyData #PyShiny #RShiny #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
From the @DSLC chives:
Introduction to Probability: Introduction https://youtu.be/0lzp6vZHTzA #RStats
Explanatory Model Analysis: Local Interpretable Model-agnostic Explanations (LIME) https://youtu.be/huz9bVCMtrE #RStats
Advanced R: Measuring Performance https://youtu.be/_zeLDufwTwY #RStats
DSLC Shiny Club:25-02-14 https://youtu.be/O7hYqjLYwa8 #PyShiny #RShiny #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
Recent @DSLC club meetings:
R for Data Science: Introduction https://youtu.be/wbU2Lb9nry4 #RStats #R4DS
From the @DSLC chives:
DSLC Shiny Club:25-02-07 https://youtu.be/EeYsaBg3gO0 #PyShiny #RShiny #RStats
Advanced R: Introduction https://youtu.be/dH72riiXrVI #RStats
Introduction to Probability: Introduction https://youtu.be/0lzp6vZHTzA #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
Async R is getting a proper memory model. mirai 2.7.0 and mori 0.2.0 are on CRAN, and between them they close the two memory gaps in production async work:
- `daemons(memory = ...)` caps the dispatcher queue in bytes, so a runaway producer can't OOM your session
- `try_mirai()` returns NULL on a full queue instead of blocking – drop, retry, or propagate backpressure
- mori out of experimental with stable wire format and path-form names
https://opensource.posit.co/blog/2026-05-12_production-async-r/
From the @DSLC chives:
Regression and Other Stories: Basic Methods in Math & Prob https://youtu.be/PvL6GZOJ4OY #RStats
Mastering Shiny: Your first Shiny app https://youtu.be/0X5SVMMrJHk #RStats #PyData #RShiny #PyShiny
tidyverse docs: modify_depth, tree, predicate functionals https://youtu.be/RaAQZ2qYK30 #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
Recent @DSLC club meetings:
The Art of Data Visualization with ggplot2: The #TidyTuesday Cookbook: Lemurs: manipulating images in R https://youtu.be/J7Yez2NC0NY #RStats #DataViz #ggplot2
From the @DSLC chives:
Advanced R: Subsetting https://youtu.be/qtUgKhw39Yo #RStats
Outstanding User Interfaces with Shiny: Web application concepts https://youtu.be/dB1zRW9r_Bw #rshiny #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
From the @DSLC chives:
Outstanding User Interfaces with Shiny: CSS for Shiny (Part 2) https://youtu.be/Mntn4KcomGA #rshiny #RStats
ISLR: Tree-Based Methods Part 1 https://youtu.be/fi4p6a1LLNw #RStats
Bayes Rules! Evaluating Regression Models https://youtu.be/lrjPCR4d1RI #RStats
ISLR: Statistical Learning https://youtu.be/P8BMLBplcTE #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
Recent @DSLC club meetings:
:Python: Deep Learning with Python (3e): ConvNet architecture patterns https://youtu.be/54RIIoN9BIM #PyData #DeepLearning #AI
From the @DSLC chives:
Outstanding User Interfaces with Shiny: Testing and validating templates elements https://youtu.be/5mkwgsxzW4U #rshiny #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
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shikokuchuo
Leibniz-Institut für Psychologie (ZPID)