Data: https://docs.google.com/spreadsheets/d/1qLdRrWG3uSZpQLW51X9q81V3axtrNWxz/edit?usp=sharing&ouid=115011566029800565379&rtpof=true&sd=true

Create a pivot table that shows sales revenue by region for each of the four years and quarters. Correct any errors in the original dataset in the worksheet that are revealed in this initial pivot table. Once you have corrected the errors in the original data set, refresh the pivot table to reect the corrected data. Insert a pivot chart that shows the sales revenue trend by region over the four-year period. In the pivot chart, the x-axis should be years and the y-axis should be sales revenue. What trends do you see in the pivot table and pivot chart? Create a pivot table that shows sales revenue, variable cost, and contribution margin for each year for each region. Create a pivot table to answer the question: l'What was the most protable brand in each year, as measured by contribution margin?"I Create a pivot table to answer the questions: l'Within each brand, what was the most protable collection in 2018, as measured by the contribution margin ratio? The least most protable collection for each brand?"I Use the eld "years\" to lter the data to include just the year of 2018. You will need to add a calculated eld to the pivot table to calculate the contribution margin ratio. Within each brand, sort the collections by contribution margin ratio, from the largest to the smallest. Interpret your ndings. Are any collections unprotable? Which one{s)