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What is Data Wrangling Techniques Overview about?
This document outlines various data wrangling techniques using Python, including library imports, sample data generation, and functions for data manipulation. It covers methods for cleaning data, handling missing values, encoding categorical variables, and summarizing data through descriptive statistics and group operations. The notebook provides practical code examples for each technique, demonstrating how to apply them to a sample dataset.
- Author
- imsubscribeyou
- Language
- EN