- rishabhdwivedi062

# Understand variables and their type in Machine Learning.

Updated: Oct 6, 2022

A variable represents one specific characteristic of the data or tells specific information about the data.

The above table represents the **data. **The column such as *CustomerName*, *City*, and *PostalCode *represents **Variables. **The variables are of different types. Let's understand it in detail.

##### Variable is of two types.

**Numerical or Quantitative Variables:**These are the variables that can be measured or counted. Numbers, also known as quantifiers come under this category, for example, 1,2,4,6, etc. It is further classified into two types.

**Continuous Variables**: This variable takes any value between a certain set of real numbers. It can be infinite.**Discrete variables:**This variable can take only whole numbers ie integer values. It is a countable quantity.

2. ** Categorical or Qualitative Variables: **These are the variable that expresses a
feeling or characteristics. Hence it can't be countable and hence can not be measured.

It is of two types.

**Ordinal Variables**: These are the variable arranged in a logical order. For example,*Poor*<*Average*<*Good .***Nominal Variables:**The variables which can't be ranked based on their values. For example,*Colors*.

**Along with that**,** there are some more variables present, which are like:**

**Independent Variables:**They are the ones whose value doesn't depend on any other variables.**Dependent Variables:**They are the ones whose value depends on other independent variables and cannot be changed easily.