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POWER BI - EXCEL 2013 EXERCISES

- PowerPivot data models (1)
- Pivot tables using PowerPivot (2)
- Using Excel tables (1)
- Transforming data in Power Query (3)
- Calculated columns (2)
- The CALCULATE function (4)
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# Exercise: Find the average ratio between square metre area and units

This exercise is provided to allow potential course delegates to choose the correct Wise Owl Microsoft training course, and may not be reproduced in whole or in part in any format without the prior written consent of Wise Owl.

The answer to the exercise will be included and explained if you attend the Wise Owl course listed below!

Category ==> | Power BI - Excel 2013 (25 exercises) |

Topic ==> | The CALCULATE function (4 exercises) |

Level ==> | Harder than average |

Course ==> | PowerPivot / Excel Power BI |

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If you haven't already done so, run the SQL script in the above folder
(copying and commercial use prohibited) to generate a database called **MAM**.

Create a new workbook, and in this create the following PowerPivot data model:

Import two tables: centres and centre types.

Create a pivot table showing the average square metre area for centre types, and also the average number of units:

The figures by type of centre.

No need to create any calculated fields for this: you can just include the
relevant fields in the **VALUES** section of the pivot table and
change the **Value Field Settings** so that Excel averages, not sums, the data.

Now create a calculated field called **FalseAverage** which
divides one of these implicit measures by the other:

The implicit measures will appear in autocompletion.

This gives you the average ratio of floor area to number of units, but it's wrong:

The true average for any cell should be the average of the total square metres for that cell's query context divided by the total number of units for that cell's query context.

Create a calculated field called **TrueAverage **which uses the
**AVERAGEX** function to calculate the average of the
metres-to-units ratio:

The figures are different.

The shopping centre figures are returning an error because one of the centres (**Market
Quay**, as it happens) has 0 units in the database. To get round
this, amend your true average so that it omits any figures where the number of
units is 0.

You can do this by wrapping your **AVERAGEX** function in a
**CALCULATE** one.

The final figures should look like this:

The figures are the same for the 3 centre types which didn't have an error - as indeed they should be, as nothing has changed for these.

Save this workbook as **Very average**, then close it down.