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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Standardization
Most mainstream data scientists have noted the importance of standardizing data variables (changing reference data to a standard) as part of the data cleaning process before beginning a statistical study or analysis project. This is important, as, without standardization, the data points measured using different scales will most likely not contribute equally to the analysis.
If you consider that a data point within a range between 0 and 100 will outweigh a variable within a range between 0 and 1, you can understand the importance of data standardization. Using these variables without standardization in effect gives the variable with the larger range a larger weight in the analysis. To address this concern and equalize the ...
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