2,293 R-Sourced Tables Converted to Python DataFrames

2293 datasets sourced from various R packages are provided as Python-compatible DataFrames by author holgern, with the most recent update in June 2024. The collection serves as a bridge for Python users to access the standard datasets typically bundled with the R programming language without requiring an R installation.

Use Cases

• Benchmarking machine learning algorithms across 2293 different tabular structures
• Educational demonstrations using standard R datasets within a Python environment
• Testing data cleaning pipelines on diverse R-sourced data frames

Strengths

• Contains 2293 distinct datasets
• Pre-converted into Python DataFrame format via pickle files
• Aggregates data from multiple R packages into a single repository

Limitations

• Pickle format poses security risks if loaded from untrusted sources
• Lack of a unified schema across the 2293 disparate datasets
• Individual dataset documentation must be sourced from original R package manuals

Provenance

Source

Various R packages (R ecosystem)

Collection Method

Automated conversion and repackaging of R datasets into Python pickle files.

Freshness

Last updated June 2024; however, the individual datasets reflect the versions available in their respective R packages at the time of conversion.