Web: https://towardsdatascience.com/how-to-compare-two-or-more-distributions-9b06ee4d30bf?source=rss----7f60cf5620c9---4

June 20, 2022, 2:08 p.m. | Matteo Courthoud

Towards Data Science - Medium towardsdatascience.com

A complete guide to comparing distributions, from visualization to statistical tests

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Comparing the empirical distribution of a variable across different groups is a common problem in data science. In particular, in causal inference, the problem often arises when we have to assess the quality of randomization.

When we want to assess the causal effect of a policy (or UX feature, ad campaign, drug, …), the golden standard in causal inference is randomized control trials, also …

causal inference data science data visualization editors pick python

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