Podcast
Questions and Answers
What does NOIR stand for in data categorization?
What does NOIR stand for in data categorization?
What type of data is considered quantitative?
What type of data is considered quantitative?
Numerical data
What is a nominal variable?
What is a nominal variable?
A variable that takes a value among a set of mutually exclusive codes with no logical order.
A nominal data variable can have mathematical interpretations.
A nominal data variable can have mathematical interpretations.
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What is an example of a binary variable?
What is an example of a binary variable?
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Which of the following is an example of nominal data?
Which of the following is an example of nominal data?
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The categorization of data types into NOIR allows for understanding the __________ of data.
The categorization of data types into NOIR allows for understanding the __________ of data.
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Study Notes
Datasets
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Record data
- Relational records: Database, relational tables, highly structured
- Data matrix: Numerical matrix, crosstabs
- Transaction data: Individual events
- Document data: Term-frequency vector (matrix) of text documents
- Graphs and networks
Data in Data Science
- Entity: A particular thing
- Attribute: A measurable property of an entity
- Data: A measurement of an attribute
Data Categorization - NOIR Topology
- N: Nominal
- O: Ordinal
- I: Interval
- R: Ratio
Nominal Scale
- Definition: Variables with mutually exclusive categories without a logical order.
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Examples:
- Gender: {M, F} or {1, 0}
- Blood groups: {A, B, AB, O}
- Rhesus (Rh) factors: {+, -}
- Country code: 048, 040
- Note: Data categorization using naming convention (numbers, letters, or strings). No mathematical interpretation of numerical values.
Binary Scale
- Definition: Nominal variable with two mutually exclusive categories without a logical order.
-
Examples:
- Switch: {ON, OFF}
- True/False: {True, False}
- Yes/No: {Yes, No}
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Types:
- Symmetric: Both categories have equal importance.
- Asymmetric: One category is more important than the other.
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Description
This quiz explores the fundamental concepts of data science, including data types, categorization, and the NOIR topology. Test your understanding of relational records, nominal scales, and more through a series of questions that cover critical data science topics.
