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What is Data Wrangling Techniques and Tools about?

Module 3 covers data wrangling techniques, including data cleaning, transformation, integration, outlier detection, and text processing, along with tools like Python libraries, R, SQL, and spreadsheet software. It emphasizes the importance of identifying and handling missing values, duplicates, and formatting issues to ensure data quality for analysis. The module also discusses normalization and provides examples of calculating outliers using the Interquartile Range (IQR) method.

Author

Saifanamol Vm

Language

EN