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Python Data Cleaning Techniques by NourheneMbarek is a document available to read on EtoBox.
What is Python Data Cleaning Techniques about?
This document discusses techniques for cleaning data in Python. It introduces loading data using Pandas, performing quality checks by viewing the data, combining multiple datasets, and cleaning data through functions and expressions. The goal is to tidy the data into a clean, unified format ready for analysis. Examples demonstrate loading, viewing, checking, and transforming Gapminder health and demographic data into a tidy format.
- Author
- NourheneMbarek
- Language
- EN