January 2018
Beginner to intermediate
316 pages
7h 14m
English
Content preview from Feature Engineering Made Easy
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Recap of the levels of data
Understanding the various levels of data is necessary to perform feature engineering. When it comes time to build new features, or fix old ones, we must have ways of identifying how to work with every column.
Here is a quick table to summarize what is and isn't possible at every level:
|
Level of Measurement |
Properties |
Examples |
Descriptive statistics |
Graphs |
|
Nominal |
Discrete Orderless |
Binary Responses (True or False) Names of People Colors of paint |
Frequencies/Percentages Mode |
Bar Pie |
|
Ordinal |
Ordered categories Comparisons |
Likert Scales Grades on an exam |
Frequencies Mode Median Percentiles |
Bar Pie Stem and leaf |
|
Interval |
Differences between ordered values have meaning |
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