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Unit 2.2 - Data Acquiring & Cleaning - 2 by Aastha Shukla is a document available to read on EtoBox.

Unit 2.2 covers data acquiring and cleaning, focusing on data storage and loading using the Pandas library, which allows for easy manipulation of data from various sources. It also discusses data cleaning techniques, including handling missing data, removing duplicates, and transforming data to ensure accuracy and consistency for analysis. Key functions in Pandas for these tasks include read_csv(), fillna(), dropna(), and duplicated().

Author
Aastha Shukla
Language
EN