Categorical & Numerical Variables

Variables are the basic building blocks of an ML algorithm. Based on these variables, the algorithm identifies and equation which will be applied on new input data. These variables are mostly of two types:

  1. Categorical Variables
    This variable represents a field which can be classified into categories or groups.
    example : sex, favorite color, age
  2. Numerical Variables
    This variable represents a field which can be measured and sorted.
    example : height, weight

Categorical variables are visualized using bar charts, frequency tables or pie charts.

http://www.saedsayad.com/categorical_variables.htm

visualizing categorical data

Numerical variables are visualized using scatter plots or line graphs.

http://www.saedsayad.com/numerical_numerical.htm

visualizing numerical data

An interesting reference : Shodor – Numerical and Catagorical data

In my next blog, I will be writing on Supervised Learning.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

w

Connecting to %s