GitHub repository with helpful python programs to quickly run through datasets and give a brief summary of it's statistics.

This page summarizes the projects mentioned and recommended in the original post on /r/datasets
pandas-profiling pandas-dataframe Statistics jupyter-notebook Exploration

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  • statisticsMU123

    This folder contains some useful functions to be used in statistical analysis

  • ydata-profiling

    1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

    As a learning project, this is nice, but for standard use, what would be the advantage of this over just loading a program into Pandas and calling df.describe()? And if you need more complete details on a data set, using the pandas-profiling package?

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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