An apparel store ran a promotion in which discount coupons were sent to customers of other National Clothing stores. Data collected for a sample of 100 in-store credit card transactions during one day while the promotion was running are contained in the attached file. The Proprietary Card method of payment refers to charges made using a National Clothing charge card. Customers who made a purchase using a discount coupon are referred to as promotional customers and customers who made a purchase but did not use a discount coupon are referred to as regular customers. Because the promotional coupons were not sent to regular stores customers, management considers the sales made to people presenting the promotional coupons as sales it would not otherwise make. The store also hopes that the promotional customers will continue to shop at its stores.

Most of the variables shown in the Table are self-explanatory, but two of the variables require some clarification.

Items

The total number of items purchased

Net Sales

The total amount ($) charged to the credit card

Management would like to use this sample data to learn about its customer base and to evaluate the promotion involving discount coupons.

Use the tabular and graphical methods of descriptive statistics to help management develop a customer profile and to evaluate the promotional campaign. At a minimum, your report should include the following:
Make different types of descriptive statistics using R. Choose relevant stats yourself.
Frequency distribution for key variables (see instructions at the bottom)
A bar chart or pie chart showing the number of customer purchases attributable to the method of payment (see instructions at the bottom)
Type of customer (regular or promotional) versus net sales. Support your answers with some of the followings: correlation, scatter plot, regression. Choose the relevant tests yourself.
A scatter diagram to explore the relationship between net sales and customer age.
High-quality visuals made in Power BI