Specific requirements 1. Create three columns in the Data worksheet that calculate sales revenue, cost, for each sales record (each row.) Use the columns already named in the Data w revenue," "total cost," and "gross profit," respectively. Format numbers in the t Accounting with two decimal places. 2. Create a pivot table that shows sales revenue by region for each of the four yes Correct any errors in the original dataset in the worksheet that are revealed in table. Once you have corrected the errors in the original data set, refresh the p reflect the corrected data. Insert a pivot chart that shows the sales revenue tre the four-year period. In the pivot chart, the x-axis should be years and the y-axi revenue. What trends do you see in the pivot table and pivot chart? 3. Create a pivot table that shows sales revenue, total cost, and gross profit for es would have been the net impact on retained earnings in each of these years fro transactions listed in the data set? Ignore any tax effects. 4. Create a pivot table to answer the question "What was the most profitable bra measured by gross profit?" 5. Create a pivot table to answer the questions: "Within each brand, what was the collection in 2018, as measured by the gross profit percentage? The least most collection for each brand?" Use the field "years" to filter the data to include jus 2018. You will need to add a calculated field to the pivot table to calculate the percentage. Within each brand, sort the collections by gross profit percentage, to the smallest. Interpret your findings. 6. Create a pivot table to answer the question "Which region was the most profit measured by the gross profit percentage?" Include gross profit (dollars) in the filter to include only sales from 2018 in this pivot table. You should be able to s calculated field you created in Requirement 5 rather than calculating a new gro percentage. Sort the regions by gross profit percentage, from largest to smalles