R Weekly 2023-W32 Video flexdashboard, Serverless Shiny, Polars

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Hello and welcome to this new issue!

• How to have (my) content shared by R Weekly?

This week’s release was curated by Jon Calder, with help from the R Weekly team members and contributors.

Highlight

• Using flexdashboard to create a GitHub Actions-powered YouTube feed

• Building Serverless Shiny Apps with webR: A Step-by-Step Guide

• Cookbook Polars for R Cookbook to provide solutions to common tasks and problems in using Polars with R. A side-by-side comparison of polars, R base, dplyr, tidyr and data.table packages.

Insights

• R-Ladies Morelia, Mexico, hosts First Anniversary Event on July 31, 2023

• rOpenSci Champions Pilot Year: Training Wrap-Up

Resources

• Cookbook Polars for R Cookbook to provide solutions to common tasks and problems in using Polars with R. A side-by-side comparison of polars, R base, dplyr, tidyr and data.table packages.

• Solutions for R4DS, 2e with Data Trail

New Packages

📦 Go Live for More New Pkgs 📦

GitHub

• {tidypolars} 0.0.0.9000: Get the functionalities of Polars with the syntax of the tidyverse

• {ThemePark} 0.0.0.9000: Themes for ‘ggplot2’ from Popular Culture

• {greenR} 0.0.0.9000: Green Index Quantification, Analysis and Visualization

Updated Packages

🔍 Search on R-universe 🔍

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Formula 1 Data Packaging - Documenting and Sharing - TidyX Episode 154

• Joe Cheng @ Posit - You have to be able to reason about it - Data Science Hangout

• Evaluate the performance of GPT detectors - Julia Silge

Shiny Apps

• Building Serverless Shiny Apps with webR: A Step-by-Step Guide

Tutorials

• Reproducible data science with Nix, part 3 – frictionless {plumber} api deployments with Nix

• R Functions for Getting Objects

• Using flexdashboard to create a GitHub Actions-powered YouTube feed

• R Support for Data Science Notebook Tools

• Ensure R Language Reproducibility with dateback Package

• Introduction to vvtableau

• My Life with the R-universe

• Using GWalkR to create an interactive exploratory data analysis window similar to Tableau

• It’s the interactions

• Plotting a COVID-19 vaccination map with different projections (with updated versions of canadamaps and tintin)

• Exploring R’s Versatile str() Function: Unraveling Your Data with Ease!

• Comfy keyboard shortcuts for RStudio

• Fix your plot size before you export it

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

• Weekly R Workshops for Ukraine

• Multilingual Publishing

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Check out these cool art pieces generated with ggplot and {sf} 😍

Once again, stunning work by @dickie_roper.

And it comes with full documented code. Definitely worth studying (link below).#rstats #rtistry pic.twitter.com/X34UZU29kc

— Albert Rapp (@rappa753) June 13, 2023

In the world of #dataviz sometimes art meets science! 🖌👩‍🔬

We plotted parrot data in the ALA to celebrate #WorldParrotDay 🦜 using the dominant plumage shades for each genus 🌈 and created some accidental art in the process!

Watch out Monet ‍🎨 @accidental_aRt#rstats #Rtistry pic.twitter.com/Bbxzv87L1A

— Atlas of Living Aust (@atlaslivingaust) May 31, 2023

Quotes of the Week

I use #rstats to do #GIS every day because it is such a powerful connector of different tools and resources.

Read this 🧵 for a step-by-step workflow of how to do GIS operations with this made-up table of customer locations in R: pic.twitter.com/0ssKDW2Cyh

— Kyle Walker (@kyle_e_walker) August 1, 2023

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