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Link to a simple case study
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README.md

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@@ -3,6 +3,8 @@ This is a mnimial implementation of an idea from [DIFF: A Relational Interface f
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In short: Given a table of numerical and categorical data and a query dividing the table into two groups (outliers/inliers) return attributes (categorical values) that are more common among the outliers (so called explanations).
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See a simple [case study using this prototype](https://pzakrzewski.hashnode.dev/macrobase-diff-case-study-1-imdb-movies).
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You can give it a quick try with provided `test.csv`:
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```bash
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num_col,cat_col1,cat_col2

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