This post is the fourth in a series on the dataframe library for Chez Scheme. In this post, I will contrast the dataframe library with functions from the dplyr R package for filtering, partitioning, and sorting dataframes.
This post is the third in a series on the dataframe library for Chez Scheme. In this post, I will contrast the dataframe library with functions from base R and the dplyr package for splitting, binding, and appending dataframes.
This post is the second in a series on the dataframe library for Chez Scheme. In this post, I will contrast the dataframe library with functions from the dplyr R package for selecting, dropping, and renaming columns.
As an exercise in my Chez Scheme learning journey, I have implemented a dataframe record type and procedures to work with the dataframe record type. Dataframes are column-oriented, tabular data structures useful for data analysis found in several languages including R, Python, Julia, and Go.