2min chapter

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#25 Data Science for Everyone

DataFramed

CHAPTER

How to Write Test Functions for Data Sets

Tests for data are a bit hard to auder mate, aren't they? It sort of depends. For static properties such as the columns, the number of rows and the valid range of value s it's fairly easy to write automatically executable tests. But more generally speaking, nothing beats visualizations. I can also use tools such as missing no, you know, missing n o,. which can give me a visual over view of the number of null values in the data set.

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