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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Cleaning techniques
Typically, the data cleansing process evolves around identifying those data points that are outliers, or those data points that stand out for not following the pattern within the data that the data scientist sees or is interested in.
The data scientists use various methods or techniques for identifying the outliers in the data. One approach is plotting the data points and then visually inspecting the resultant plot for those data points that lie far outside the general distribution. Another technique is programmatically eliminating all points that do not meet the data scientist's mathematical control limits (limits based upon the objective or intention of the statistical project).
Other data cleaning techniques include: ...
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