Exp22_Excel_Ch05_ML1_RealEstate | Excel Chapter 5 Mid-Level 1

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1 Start Excel. Download and open the file named Exp22_Excel_Ch05_ML1_RealEstate.xlsx. Grader has automatically added your last name to the beginning of the filename. 0
2 You are about ready to subtotal the data. First, you will sort the data.

Sort the list by City in alphabetical order, then by Selling Agent in alphabetical order, and finally by Listing Date in chronological order (oldest to newest). 10
3 You want to display subtotals for three columns to analyze the averages.

Use the Subtotal feature to calculate the average Selling Price, % of Asking Price, and Days on Market by City. Ensure that Summary below data is selected, and then click or select OK. 5
4 Next, you will apply an outline so that you can collapse and expand columns.

Group the data using the Auto Outline feature. Collapse the outline to hide the Listing Date and Sales Date columns. Click or select the outline symbol to display the grand average and city average rows only. 5
5 Now you are ready to format the data and set a print area to print only a select portion of the worksheet.

Format the average days on market as numbers with zero decimal places. Apply wrap text in cells G1 and J1. Set a print area for the range C1:J88.
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6 Select individually columns G and J and change the column width to 10. Change the row height to 24 for the first row. 2
7 PivotTables help you analyze different perspectives of data. You will create a PivotTable using the Sales Data worksheet.

Click or display the Sales Data worksheet and create a blank PivotTable on a new worksheet. Name the new worksheet PivotTable. Name the PivotTable Average City Prices. 10
8 Part of the process is arranging and rearranging fields to provide the perspective to represent the data best. In addition, you want to display average values instead of total values.

Place the City field in rows, the Selling Agent field in columns, and the Asking Price and Selling Price fields as values. For the two value fields, display averages rather than sums with Accounting Number Format with zero decimal places. Pivot the data by placing the City field below the Values field in the Columns area and moving the Selling Agent field to the Rows area. 12
9 Now you want to focus on real estate data for only two cities.

Add a filter to cell B3 to display only Alpine and Cedar Hills.
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10 Go back to the Sales Data worksheet. You realize that a selling price is incorrect.

Change the selling price for Number 40 from $140,000 to $1,400,000. Refresh the PivotTable. 5
11 You want to format the PivotTable.

Change the widths of columns A, B, C, D, and E to 11. Change the width of column F to 14 and the width of column G to 13.14. Wrap text and center horizontally data in cells B4, D4, F4, and G4. Apply the Bottom Border to the range B4:E4. Change the label in cell A5 to Agent. Change the height of row 4 to 40.
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12 You want to create another PivotTable to look at the selling prices by city.

Display the Sales Data worksheet. Create a Recommended PivotTable using the Sum of Selling Price by City thumbnail.
Note, Mac users, insert a PivotTable on a new worksheet. Add City to the Rows area and Selling Price to the Values area.

Change the name of the new PivotTable worksheet to Selling Price.
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13 Change the value to display averages not sums. Apply the Accounting Number Format with zero decimal places to the values. Apply Light Blue, Pivot Style Medium 2 to the PivotTable. 5
14 You want to display a key value from the PivotTable on the Sales Data worksheet.

Display the Sales Data worksheet. Insert the GETPIVOTDATA function in cell F1 to display the overall average selling price in cell B9 in the PivotTable on the Selling Price worksheet. 10
15 You decide to create a PivotChart to illustrate the PivotTable data visually.

Create a clustered column PivotChart from the PivotTable on the Selling Price worksheet. Move the chart to a chart sheet named Sales Chart.
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