Categorical data is a type of data that can be divided into categories or groups. It represents characteristics such as color, size, or brand, and each category can have a limited and fixed number of possible values. Categorical data is usually stored as text, but can also be represented as numerical values if each number represents a unique category. Examples of categorical data include gender, educational level, and marital status.
Numerical Data
Numerical data refers to information that is expressed in numbers or quantifiable values, such as ages, weights, heights, temperatures, counts, or monetary amounts. This type of data can be processed and analyzed using mathematical and statistical techniques, and is used to support decisions and drive insights in various fields, such as finance, marketing, and science. Numerical data can be either continuous, meaning that it can take any value within a range, or discrete, meaning that it is limited to a specific set of values.
