Albert Rapp
High quality tutorials on all the data things with R and web technologies like HTML, CSS and JS.
I also break down my content into bite-sized, weekly 3-minute newsletters. You can get them delivered straight to your inbox. Just follow this link below.
4 Reasons Why Streamlit Users Will Love Shiny for Python
8 Things I Wish I'd Known Before Using R In Business
Data Scientists Will Love These Positron Productivity Tricks
How to Easily Solve 10 Common SQL Tasks With R & {dbplyr}
3 Simple Ways to Speed Up R-Shiny Apps
Stop Bad Inputs From Destroying Your R-Shiny Apps
How To Build ANY R-Shiny App You Want (with custom HTML, CSS & JS)
How to Finally Bring Your Tables into Typst PDFs (using {gt})
The Easiest Way to Export Data From Your R-Shiny Apps
{bslib} Makes R-Shiny Look Professional. Here's How to Use It.
These Easy Widgets Upgrade Your R-Shiny App Immediately
One Line of Code Changes Your R-Shiny Apps Forever
Golem is a Must-Know Framework For R-Shiny (and here's how to use it)
The R-Shiny Feature You’re Probably Ignoring (and how to stop)
3 Ways to Add Dynamic UI Elements To R-Shiny
How to Use Reactive Expressions in R-Shiny
Finally Understand Reactivity in R-Shiny (Beginner's Guide)
How to Build Dashboards & Web Apps With R-Shiny
Python for R Users (Get Started Fast)
Quarto With Authentication Is Easier Than You Think (with Azure)
Quarto & Typst Are Fantastic for Beautiful PDF Reports
How to Automate Data Reports with Quarto (Beginner's Guide)
Why R Users Will Love Positron (and how to set it up for success)
Never Lose Data Again: Use R's {pins} package
9 R Packages That Make ggplot2 Even Better
5 Essential Charts Every R User Should Make With ggplot2
{fs} Is The R Package You Didn't Know You Needed
Build Interactive Apps in Minutes (Not Days) Using Quarto & Shiny
Finally explained: Difference Between = and arrow in R
Master R Data Cleaning: dplyr vs data.table