“Unveiling Changes in Datasets: An Introduction to Explanation Algorithms and the Open-Source SQL Data Differ”

The blog post discusses the concept of explanation algorithms, which help answer ‘why’ questions in data analysis by identifying high-likelihood explanations for changes in datasets. The author introduces an open-source SQL data differ, which is a tool that can identify differences between two datasets. The tool, part of the datools library, is implemented as a Python wrapper that generates the necessary SQL to compute the difference between two schema-aligned queries.

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