© A.J. Henley and Dave Wolf 2018
A.J. Henley and Dave WolfLearn Data Analysis with Pythonhttps://doi.org/10.1007/978-1-4842-3486-0_3

3. Preparing Data Is Half the Battle

A. J. Henley1  and Dave Wolf2
Washington, D.C., District of Columbia, USA
Sterling Business Advantage, LLC, Adamstown, Maryland, USA

The second step of data analysis is cleaning the data. Getting data ready for analytical tools can be a difficult task. Python and its libraries try to make it as easy as possible.

With just a few lines of code, you will be able to get your data ready for analysis. You will be able to
  • clean the data;

  • create new variables; and

  • organize the data.

Cleaning Data

To be useful for most analytical tasks , data must be clean. This means it should be consistent, ...

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