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Introduction
Combination of data sets
Data summarizations and aggregations
Integer and string manipulations
Data cleansing
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Data cleansing
Includes recipes conveying how to denormalize, deduplicate, and overall cleanse data sets.

Data cleansing
Includes recipes conveying how to denormalize, deduplicate, and overall cleanse data sets.
- Removing duplicate rows from a table
  Sometimes a table can contain multiple copies of the same information. Whether these duplicates were original to the table, or they occurred after combining data sets, you can easily locate and remove all of the duplicate rows from a table.
- Removing values n standard deviations from the mean
  You can determine outliers by identifying values in specific columns that fall n standard deviations outside of the mean for that column in a given data set. Rows that fall outside the desired range can then be eliminated.

Data cleansing

Includes recipes conveying how to denormalize, deduplicate, and overall cleanse data sets.

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