The data needed is uploaded below as well. Here are the questions.
Question 1: The Beauty Company
The Beauty Company is a small makeup company. The datafile Beauty Company Sales_Raw Data.xls gives the monthly sales data. Each row lists the salesperson, date of sales, product type, units sold, and revenue generated, and location of the sale.
Question 1.1: Please complete the codebook using the template on Canvas.
Question 1.2: Evaluating salesperson performance
Create a PivotTable to summarize the units sold by each salesperson.
Create a PivotTable to summarize the revenue generated by each salesperson.
Which one of the salespersons had the best performance?
Does the Pareto Principle apply to this scenario?
Question 1.3: Store location
Create a PivotTable to summarize the units sold by location of the sale.
Create a PivotTable to summarize the revenue generated by location of the sale.
The Beauty Company plans to increase inventory in one of the locations, which location will you recommend to the management?
Question 1.4: The best seller.
Create a PivotTable to show the unit sold by product type?
Please use Slicer to find out revenue generated by lip gloss sold by Colleen in the Midwest region?
Question 2: Station Wagon
The State Wagon_Raw Data.elsx file contains data for each family including the family size (large or small), income (high or low), and whether the family bought a station wagon. Use this file to perform the following exercise.
Question 2.1: Please complete the codebook using the template on Canvas.
Question 2.2: Does it appear that family size or income is a more important determinant of station wagon purchases (please use PivotTable function).
Question 2.3: Compute the percentage of station wagon purchasers that are high or low income.
Question 2.4: Compute the fraction of station wagon purchasers that come from each of the following four categories:
High income and large family;
High income and small family;
Low income and large family;
Low income and small family.
Question 3: The ESPN Subscription
The ESPN Subscription_Raw Data.elsx file contains data for each subscriber of ESPN: The Magazine including the age, gender, income, and location. Use this file to perform the following exercise.
Question 3.1: Please complete the codebook using the template on Canvas.
Question 3.2: Which income group showed the largest number of subscriptions?
Question 3.3: Which gender group showed the largest number of subscriptions?
Question 3.4: Create a profile for the target market of ESPN: The Magazine using the four variables.
