A side-by-side comparison of data manipulation operations across four libraries: Clojure's tablecloth, R's dplyr, Python's Pandas, and Polars. Using the Palmer Penguin dataset, the post walks through reading data, basic exploration, filtering, selecting, reshaping, renaming columns, grouping, and aggregating. It highlights key
Table of contents
Reading dataBasic commands to explore the datasetMore advanced filtering and selectingCreating and renaming columnsGrouping and aggregatingConclusionsVersionsSort: