March 2025
Beginner to intermediate
222 pages
5h 46m
English
Data validation is a crucial part of data analysis, encompassing the maintenance of data integrity, accuracy, and cleanliness for computational tasks. Since the results of analysis are heavily dependent on the quality of the input data, having a robust validation process is essential. A lack of such a process can lead to the effect of “Garbage in, garbage out.”
Imagine dedicating hours to an analysis only to discover a duplicate row or sporadic NAs. The key to avoid such scenarios lies in regular data checks. You can write a function to perform these checks or set up data validation pipelines ...
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