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Pandas Basics for Data Analysis by Ha Nguyen Thai is a document available to read on EtoBox.

Lecture 2 of Project Big Data at Vrije Universiteit Amsterdam focuses on the Pandas library for data analysis, covering topics such as tabular data, basic Pandas concepts, subsetting, grouping, and merging. Key data structures in Pandas include Series and DataFrames, with various methods for creating and manipulating them. The lecture also emphasizes the importance of selection operators like loc and iloc for data extraction.

Author

Ha Nguyen Thai

Language

EN