Getting acquainted with the Data

Customer Segmentation with K-Means Clustering

Data Source

The data that I'll be using is a popular public dataset on Kaggle called 'Mall Customer Segmentation Data', which can be found at this link

Mall Customer Segmentation Datawww.kaggle.com

A look at the data

The dataset has 5 columns x 200 rows

Source: Kaggle

• Customer ID: Unique ID assigned to the customer

• Gender: Gender of the customer

• Age: Age of the customer

• Annual Income (k$): Annual Income of the customer

• Spending Score (1-100): Score assigned by the mall based on customer behavior and spending nature. The higher the score is, the more the customers spend.

I will start by performing K-Means Clustering on 2 variables, and then increase the number of variables gradually.