THE ONLINE CONSUMERS FOR INDISPENSABLE ONLINE GROCERIES PURCHASING THROUGH SITES STATISTICAL APPRECIATIONS: -A CLUSTER ANALYSIS

Abstract

This study aims to analyze how consumers purchase groceries from online websites using analytical methods. The primary focus is on website functional variables, which consumers analyze for clustering in this study's gain on. This study attempts to categorize consumers' emotive metrics into batch based on websites. The statistical method utilized for this purpose is K-means clustering analysis.