January 2018
Beginner to intermediate
316 pages
7h 14m
English
Content preview from Feature Engineering Made Easy
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The interval level
We are starting to cook with gas now. At the nominal and ordinal level, we were working with data that was qualitative in nature. There was data that did not describe a true quantity. At the interval level, we move away from this notion and move into quantitative data. At the interval data level, we are working with numerical data that not only has ordering like at the ordinal level, but also has meaningful differences between values. This means that at the interval level, not only may we order and compare values, we may also add and subtract values.
Example:
A classic example of data at the interval level is temperature. If it is 90 degrees in Texas, and 40 degrees in Alaska, then we may calculate a 90-40 = 50 degrees ...
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