Types of Data: Categorical vs Numerical Data

Here is a detailed breakdown of the content covered in the video "Types of Data: Categorical vs Numerical Data" by 365 Data Science:

Introduction to Data Classification [00:00]: Data can be classified in two main ways: based on

its type and based on its measurement level. This video focuses primarily on the types of data, which are divided into categorical and numerical data.

Categorical Data [00:09]: This type describes categories or groups.

Example

s: Car brands like Mercedes, BMW, and Audi, or responses to yes/no questions (e.g., asking if someone is enrolled in a university or owns a car) [00:15].

Numerical Data [00:37]: Representing numbers, numerical data is further s

plit into two subsets: discrete and continuous.

Discrete Data [00:47]: Can usually be counted in a finite manner and typically represents integers.

Examples: The number of children you want to have (e.g., 0, 1, 2, or 10) [00:52

], SAT exam scores [01:08], university letter grades [02:42], and physical money like banknotes and coins where values are separated by distinct increments like cents [03:05].

Continuous Data [01:34]: Is infinite and impossible

to fully count because it can take on any value within a range, varying by infinitely small amounts.

Examples: Weight (e.g., 150 pounds can vary by microscopic fractions of a pound even if a scale doesn't capture it) [01:41],

height, area, distance, and time (measured in general rather than strictly by a clock's discrete ticks) [03:24].

https://www.youtube.com/watch?v=DUcXZ08IdMo

Types of Data: Categorical vs Numerical Data

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