Exploratory Data Analysis on Shopping Mall Customers’ Dataset: A Case Study of Marketing Analysis

Nowadays, data visualizations and data analysis are the most significant fact in providing a quick and clear understanding of the information. An exploratory data analysis of shopping mall customers’ data set is presented in this study to achieve the customers’ segmentation which will beneficial for making marketing strategies. To achieve this, deep data analysis is carried out by extracting specific items from the dataset to know the different groups of customers coming into a mall and their spending behaviors. Depending upon their spending behavior, a machine learning model is created using the K-Means clustering algorithm to serve different marketing strategies for different groups of customers. The developed model can make a business impact to solve similar scenario problems for improving the decision-making related to the best marketing strategies for the customers.