Summary: Data Exploration and Cleaning
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In this introductory chapter, we made extensive use of pandas to load and explore the case study data. We learned how to check for basic consistency and correctness by using a combination of statistical summaries and visualizations.
We answered questions like:
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Are the unique account IDs truly unique?
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Is there any missing data that has been given a fill value?
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Do the values of the features make sense given their definition?
You may notice that we spent nearly all of this chapter identifying and correcting issues with our dataset. This is often ...
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