TYPES OF DATA
1. Categorical
2. Numerical - discrete
- continuous
CATEGORICAL
Categorical data represents
groups or categories.
Examples:
1. Car brands: Audi, BMW
and Mercedes.
2. Answers to yes/no questions:
yes and no
NUMERICAL
Numerical data represents
numbers. It is divided into two
groups: discrete and continuous.
Discrete data can be usually
counted in a finite matter, while
continuous is infinite and
impossible to count.
Examples:
Discrete: # children you want to
have, SAT score
Continuous:
weight, height
There are two qualitative levels:
nominal and ordinal. The nominal
level represents categories that
cannot be put in any order, while
ordinal represents categories that
can be ordered.
Examples:
Nominal: four seasons (winter,
spring, summer, autumn) Ordinal:
rating your meal (disgusting,
unappetizing, neutral, tasty, and
delicious
There are two quantitative levels:
interval and ratio. They both
represent “numbers”, however,
ratios have a true zero, while
intervals don’t.
Examples:
Interval: degrees Celsius and
Fahrenheit Ratio: degrees Kelvin,
length
