What are the steps for data preparation before analysis?
Data preparation typically involves data cleaning, transformation, and integration. Would you like details on each step?
Yes, please explain data cleaning.
Data cleaning involves removing inaccuracies, duplicates, and irrelevant data. It ensures the dataset is reliable for analysis.
What about data transformation?
Data transformation includes normalizing, aggregating, and encoding data to make it suitable for analysis. It's crucial for effective modeling.
How do I integrate data from different sources?
Data integration can be done through ETL processes, where data is extracted, transformed, and loaded into a single repository.
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