GitHub / mathewsrc / ETL-Chicago-Cafe-Permits

This ETL (Extract, Transform, Load) project employs several Python libraries, including Airflow, Soda, Polars, YData Profiling, DuckDB, Requests, Loguru, and Google Cloud to streamline the extraction, transformation, and loading of CSV datasets from the U.S. government's data repository at https://catalog.data.gov.

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Commit Stats

Commits: 98
Authors: 2
Mean commits per author: 49.0
Development Distribution Score: 0.327
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/mathewsrc/ETL-Chicago-Cafe-Permits

Topics: airflow, astro, astro-python-sdk, bigquery, continuous-integration, data-quality-checks, data-visualization, docker, duckdb, extract-transform-load, github-actions, looker-studio, polars, python, soda, ydata-profiling

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