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Cleaning/Combining the Data

  • Before the data can be analyzed it needs to be cleaned and/or combined. Cleaning the data generally involves the removal of impossible or out of range values, and implementing a strategy to handle missing information. Combining the data often requires additional steps and foresight to convert the data into a common analytical framework. For example, transaction level data might need to be summarized into time periods before being combined with household demographics.

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