This repo contains tools to normalise 17land's public datasets.
Under the Releases tab, there are normalised JSON versions of the 17lands public datasets for various formats.
While a sparse dataframe might be more familiar/convenient for heavy data analysis using something like pandas in the hands of a data science professional, I personally found a hierarchical object-based model more intuitive. The transformed data also serialises much more efficiently, reducing file sizes 5-10x.
demonstrates how one might perform analysis using the JSON data, via C# and LINQ queries.
automates the process of
- pulling down 17lands data
- parsing and transforming
- serialising to JSON
- zipping
It assumes 7Zip is installed (on Windows).
A C# program to parse unzipped 17lands CSV data and transform it into hierarchical JSON data.