How to Clean Messy CSV Data Without Pandas (Pure Python)

1. 1Read a CSV file using Python's built-in csv module to identify encoding issues
2. 2Use the chardet library to detect the encoding of each field in the CSV file
3. 3Apply encoding conversions to inconsistent fields using Python's encode() and decode() methods
4. 4Remove unwanted characters and handle quoting issues using regular expressions
5. 5Test and validate the cleaned data using Python's csv module and data validation techniques

Data scientists and engineers who work with CSV data will benefit from this lesson, as it helps them handle encoding issues and data inconsistencies

💡 Mixed encodings in CSV files can be handled by detecting and converting encodings using Python's built-in libraries and techniques

Clean messy CSV data without Pandas! Learn how to handle encoding issues and inconsistencies using pure Python #CSV #DataPreprocessing #Python