A technical comparison of data.table and dplyr for data cleaning operations in the R programming language.
A guide on using the alexmerced/datanotebook Docker image for a quick data notebook environment with pre-installed libraries like pandas, Polars, and PySpark.
A tutorial using custom animations to visually explain how dplyr's mutate(), summarize(), group_by(), and ungroup() functions work in R.
An overview of the Pandas library for data analysis, covering data reading, filtering, merging, and visualization.
A guide explaining the JavaScript array.reduce() method, including its syntax, use cases like summing numbers, and practical examples.
Creating a cross-platform calendar function in R, inspired by the Unix 'cal' command, using lubridate and crayon packages.
Introducing the 'rimu' R package for manipulating and analyzing multiple-response data, with examples using ethnicity survey data.
A tutorial on using R packages to download, process, and visualize global life expectancy data from the World Bank API.
Announces the official RStudio cheat sheet for the purrr package and compiles a list of community tutorials and resources for using purrr in R.
A visual cheat sheet for the stringr package in R, originally created in French and translated to English, for string manipulation tasks.
A first look at the new UPSERT feature in PostgreSQL 9.5, explaining its syntax and practical use cases for developers.
A presentation and tutorial on using the `plyr` package in R for data manipulation, summarization, and automated statistical analysis.
A quick R function to edit CSV files using R's native data editor, providing a lightweight alternative to spreadsheet software.
A talk on using the dplyr library in R for efficient and readable data manipulation, presented to the Davis R Users' Group.
