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  1. An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

    3.9k 394

  2. A suite of utilities for converting to and working with CSV, the king of tabular file formats.

    Python 5.1k 582

  3. A Python data analysis library that is optimized for humans instead of machines.

    Python 1.1k 144

  4. A Python library for creating fast, repeatable and self-documenting data analysis pipelines.

    Python 225 22

  5. A repository of journalist's lookup tables.

    HTML 96 14

  6. Fetch common lookup tables and join them to your data. (A port of agate-lookup to R.)

    R 2

194 contributions in the last year

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October 2022

onyxfish has no activity yet for this period.

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