What are various datatypes in Statistics?

Data Science, AI and ML
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#1

CATEGORICAL DATA:

  • Definition: Categorical data refers to a data type that can be stored and identified based on the names or labels given to them.
  • Alias: Also known as qualitative data as it qualifies data before classifying it.
  • Examples: What is your gender? Male, Female, Other
  • Types: Nominal data and Ordinal data.

Characteristics:

  1. No order scale
  2. Natural language description
  3. Can take numerical values but with qualitative properties
  4. Can be visualized using bar charts and pie charts

NUMERICAL DATA:

  • Definition: Numerical data refers to the data that is in the form of numbers, and not in any language or descriptive form.
  • Alias: Also known as quantitative data as it represents quantitative values to perform arithmetic operations on them.
  • Examples: What is your test score out of 20? Below 5, 5-10, 10-15, 15-20, 20
  • Types: Discrete data and Continuous data.

Characteristics:

  1. Has an ordered scale
  2. Not use of natural language description
  3. Takes numeric values with numeric qualities
  4. Can be visualized using bar charts and pie charts