In EDA, "data wrangling" involves ________.
- Building predictive models
- Cleaning and transforming raw data
- Performing statistical tests
- Visualizing data
In EDA, "data wrangling" involves cleaning and transforming raw data into a more suitable format for analysis. This could include handling missing values, dealing with outliers, encoding categorical variables, and other data preprocessing steps.
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