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Python for Data Science For Dummies by Luca Massaron, John Paul Mueller

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Chapter 6

Conditioning Your Data

In This Chapter

arrow Working with NumPy and pandas

arrow Knowing your data

arrow Working with symbolic variables

arrow Considering the effect of dates

arrow Fixing missing data

arrow Creating data slices

arrow Adding data elements together and modifying data types

arrow Combing data at any level

The characteristics, content, type, and other elements that define your data in its entirety is the data shape. The shape of your data determines the kinds of tasks you can perform with it. In order to make your data amenable to certain types of analysis, you must shape it into a different form. Think of the data as clay and you as the potter, because that’s the sort of relationship that exists. However, ...

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