Articles
The Complete Guide to R-squared, Adjusted R-squared and Pseudo-R-squared: because remembering basic statistical analysis always comes in handy.
Super-FAST EDA in R with Data Explorer: introduction to a great package to do simple yet powerful exploratory data analysis.
Data Documentation Woes? Here’s a Framework.: a guide to learn and improve out documentation practices.
Visualizing sampling distributions: demonstration of different ways to graph a variable distribution on a curve.
Data observability: How to Prevent Broken Data Pipelines at Scale: chronicle of a company that managed to improve their productivity by paying attention to their… data.
Skewness in Statistics - Calculate Skewness in R: a guide to calculate skewness in a variable distribution.
Using SQL in RStudio: as the name suggests, it’s a guide for using SQL in RStudio. I haven’t yet tried it, but it seems clear.
Kruskal-Wallis text in R-One-way ANOVA Alternative: a guide to apply a Kruskal-Wallis test with R.
How to make beautiful tables in R: this article shows different ways to customize tables in RMarkdown. Not only does it conceptually analyze each table segment, but also shows many useful packages to do so, with tips and tricks.
R Image Art: in this article we can learn to do a random sample to create art from image files with R. To rest our sight from all those tables.
Visualizing Distributions with Raincloud plots using ggplot2: a fantastic tutorial from Cédric Scherer (if you don’t know him, I suggest you to google him). It compares different kinds of visualizations and it highlights their pros and cons. It also talks about raincloud plots as a good alternative to illustrate variations within distributions.
Analyze your Twitter timeline with {rtweet} and {lubridate}: step by step about how to analyze your twitter account, your follower count, level of engangement and more.
Understanding ShinyApps: a friendly introduction to ShinyApps.
Map any region in the world with R: part I (the basic map) & part II (obtaining the coordinates)
How to draw the Economist-style graph with ggplot2 in R?: a nice article of how to customize a plot with a specific goal in mind.
The 10 Golden Rules of Time Series Forecasting: because I’ll need this article soon.
Chat with LLMs on your R environment: because there’s no way out.
Better code, without any effort, without even AI: packages for improving code.