Consider the Mall Customers Data Set. The dataset can be downloaded at the following URL:
The Mall customers dataset contains information about people visiting the mall. The dataset has gender, customer id, age, annual income, and spending score. It collects insights from the data and group customers based on their behaviours. Suggestion: use the following code to load the data and format the variables’ names:
data = read.csv("Mall_Customers.csv")
names(data) <- c("CustomerID","Gender","Age","Annual_Income", "Spending_Score")
head(data)
The mall’s manager is interested in getting insights about the relationships between customer profiles and spending score. Your task is to perform a statistical analysis of the dataset to understand if customers can be grouped into categories which reflects common spending patterns. As instance, do customers have different spending habits depending on their age? Gender? Annual income? Or a combination of two or more features? Is there a group of customers that is worth to better motivate and attract?
All the analysis must be motivated, and the results must be explained and commented. Use short comments describing the analysis, the results and the interpretation of the results. Moreover, report the specific R tools exploited for the analysis. Provide also a short paragraph summarizing the main insights and findings of the analysis (3/5 rows will be enough).