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.
A tutorial on using pandas and regex to conditionally populate missing columns in a CSV file based on data from another column.
Introducing the 'rimu' R package for manipulating and analyzing multiple-response data, with examples using ethnicity survey data.
Announcing padr v0.5.0, an R package update with new arguments for the `thicken` function to drop original datetime columns and handle tied observations.
A tutorial on using the dplyr filter() function in R for data wrangling, focusing on selecting rows based on criteria.
A curated list of gift ideas for R programming enthusiasts, including books, cheatsheets, hex logos, art, and conference tickets.
An introduction to R objects, covering variables, vectors, and data storage for data manipulation and analysis.
A tutorial on using R packages to download, process, and visualize global life expectancy data from the World Bank API.
An introduction to using Tidyverse data manipulation concepts in Python, focusing on the Dplython package as an alternative to pandas.
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.
