Assignment: Acme Shopping You are the data scientist for Acme Shopping, a large (fictitious) shopping mall that incorporates a balanced tenancy of different types of stores along with eating areas. To understand your customers better, you conduct a survey to study beliefs on shopping. You test those beliefs by asking shoppers the six questions listed below. Shoppers then answer using a 7-point Likert scale, from 1 (strongly disagree) to 7 (strongly agree). Your goal is to group the shoppers at Acme Shopping into different clusters (segments) using Ward's method. The questions are listed below: V1. Shopping is fun V2. Shopping is bad for your budget V3. I combine shopping with eating out V4. I try to get the best buys while shopping V5. I don't care about shopping V6. You can save a lot of money by comparing prices You also collect other data, such as income and number of mall visits. See the associated dataset for the case. The screenshot shows a portion of the data. 1. Cluster Analysis Data Preparation Prepare the data by eliminating any portion of the dataset that you do not need, such as the descriptive material in the spreadsheet that is not part of the data. Save the data in comma separated values (CSV) format using the filename "acmeshop". Read the data into R using the read.csv command. Use the summary() function in R to check the summary statistics of the "acmeshop" file after you have read it into R. Check for any problems or outlier