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Cleaning/Combining
the Data
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- 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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