November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Enhancing data
Data cleaning through enhancement is another common technique where data is made complete (and perhaps more valuable) by adding related information, facts, and/or figures. The source of this additional data could be calculations using information already in the data or added from another source. There are a variety of reasons why a data scientist may take the time to enhance data.
Based upon the purpose or objective at hand, the information the data scientist adds might be used for reference, comparison, contrast, or show tendencies. Typical use cases include:
- Derived fact calculation
- Indicating the use of calendar versus fiscal year
- Converting time zones
- Currency conversions
- Adding current versus previous period indicators ...
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