Introduction to Data Preparation and Cleaning with Python and Pandas
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.
Link to dataset if you want to following along with the coding demos: https://github.com/gsprint23/aha/blob...
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