The UCI Machine Learning Repository offers the wholesale customer dataset at https://archive.ics.uci.edu/ml/datasets/wholesale+customers. The dataset refers to clients of a wholesale distributor. It includes the annual spending in monetary units (m.u.) on diverse product categories. The goal of these projects is to apply clustering techniques to identify segments that are relevant for certain business activities, such as rolling out a marketing campaign. Before we actually use the clustering algorithms to get clusters, let's first read the data and perform some EDA to understand the data using the following code block:
# setting the working directory to a folder where dataset is located
setwd('/home/sunil/Desktop/chapter5/')
# reading the dataset to cust_data dataframe
cust_data = read.csv...
