Home Assignment 3 PIVOT TABLE, DATA VALIDATION, WHAT-IF ANALYSIS ADA | DATA AND COMPUTING SKILLS Exercise 1 – Pivot Table [5 points] Assume that you are a data analyst and by using pivot table in Excel, you have to analyze the overall average speed of the "Sit Down" style designed and "Steel" type of Roller Coasters which opened before the year 2000 and after 2000 and are still operating. The Table in range D3:J53 is the data about Roller Coaster • Name of Roller Coaster • Name of Park • Type of material used in Roller Coaster • Design of Roller Coaster • Status of Roller Coaster • Opened date • Speed of the Roller Coaster By using the abovementioned table create a pivot table on the existing worksheet starting from the cell D60 and find the overall average speed of all rides separately for the date that opened before and including year 2000 and after 2000 that satisfy the following criteria and structure: - The Type is Steel (Filter 1) - The Status is Operating (Filter 2) - The Design is Sit Down (Filter 3) Note: Please use PivotTable Fields Panel appropriately to complete the tasks. Example structure is shown below: Filter 1 Filter 2 Filter 3 Row Labels *Before 2000 * [Name of Amusement Park] *[Name of Roller Coaster] After 2000 *[Name of Amusement Park] * [Name of Roller Coaster] Average of Speed (mph) [overall average speed till year 2000 (included 2000)] [average speed of roller coaster at this Amusement Park] [speed of the roller coaster] [overall average speed after year 2000] [average speed of roller coaster at this Amusement Park] [speed of the roller coaster] Page 1 of 3 Exercise 2 – Data Validation [6 points] Apply validation so that a user can only choose one of the regions held in the cell range O19:O29 and defines a message: "Choose one of the regions from the list". So, when cell P6 is selected, messages will appear to let the user know what is allowed or expected beforehand. Validation is used to prevent a user from entering invalid data in cell P8. Therefore, if a user types a ridiculously high or low house price as defined by the bank, the user receives the error alert message: "Your house cannot possibly cost this much!" In cell P8, the value should be between £45.000 and £500.000. Apply validation to only warn users when the data is invalid, so that if you type in a deposit less than £5,000 in cell P9 you will see this pop-up error alert message: "If this is all the deposit you can manage, should you really be buying a house? " Complete version of the Exercise should look like the image below. Page 2 of 3 Exercise 3 – What-If analysis [10 points] Assume you own a bookstore and have 198 books in storage. You sell a certain percentage for the highest price of $40 and a certain percentage for the lowest price of $15. Investigate the table in cell range V5:W12. As you see the actual value displays that if you sell 60% for the highest price, cell W12 calculates a total profit of [60% of 198 books] * $40 + [rest of the books] * $15 = $5940. So: - What if you sell 70% for the highest price? What if you sell 80% for the highest price? What if you sell 90% for the highest price? What if you sell 100% for the highest price? Each different percentage is a different scenario. Use the Scenario Manager to create all these scenarios and write the results of Total Profit for each scenario in cell range X15:X18 respectively. Create a summary Report for these scenarios by using scenario manager. Do not forget to define the name of respective cells before creating a summary report. The complete version of the Summary Report should look like the image below. ????? ????? ????? ????? ????? ????? How many books do you need to sell where 60% of books are sold for the highest price to obtain a total profit of exactly $7100? - Use Excel's Goal Seek feature to find the answer and write the answer in cell Y6. Write your name, surname in cell Y9 (e.g., Khalil Israfilzade), and your computer operating system in cell Y10 (e.g., Mac OS or Windows 10, 11). Use Define name option to create the custom name for the cell Y12 with your full name separated by an underscore (e.g., khalil_israfilzade). Page 3 of 3
