Introduction to Data Preparation and Cleaning with Python and Pandas

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This video provides an introduction to common data preparation and data cleaning tasks using the Python programming language and the Pandas data science library. Using a real-world dataset (see link below), I derive code to read a CSV file into a dataframes, detect/handle missing values, encode/decode columns, change dataframe column types, and write the resulting cleaned dataframe to an output CSV file.

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