July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Numeric or quantitative data attributes
The following are numeric or quantitative data attributes:
- These kinds of data attributes are numeric and represent a measurable quantity
- Examples: Financial data, population of a city, weight of people, and so on
There are two sub-types of numeric data attributes:
- Continuous data:
- These kinds of data attributes are continuous
- Examples: If you are recording the weight of a student, from 10 to 12 years of age, whatever data you collect about the student's weight is continuous data; Iris flower corpus
- Discrete data:
- Discrete data can only take certain values
- Examples: If you are rolling two dice, you can only have the resultant values of 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 12; you never get 1 or ...
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