Practical Python Data Wrangling and Data Quality

Key Insights from the Book:

• Python is a powerful tool for data wrangling and management.
• Data quality is crucial for the accuracy of analysis and predictions.
• Data wrangling involves data cleaning, transformation, and mapping from one raw form into a structured one.
• The book provides practical applications of Python for data wrangling tasks.
• The importance of dealing with missing, inconsistent, and duplicate data in datasets.
• Concepts of data validation and verification are discussed and how they contribute to data quality.
• The book promotes the use of automated scripts for data wrangling tasks.
• Practical Python libraries for data wrangling and...

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