This page has 0 threads | Add post

Exercises

Finding our exercises useful? Please consider helping us to share more!

Software ==>	PowerPivot (72 exercises)
Topic ==>	Pivot tables using PowerPivot (2 exercises)
Level ==>	Average difficulty
Subject ==>	Power BI training

Use slicers to control 2 pivot tables, and Quick Explore to drill down

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.

Before you can do this exercise, you'll need to download and unzip this file.

If you haven't already done so, run the SQL script in the above folder in SQL Server Management Studio to generate a database (not for commercial use or copying) called MAM.

Import from this database the following tables:

The tables to import, so we can look at regions, towns, etc.

If you haven't already chosen only to import the columns you need, delete columns from your data model and hide others from client tools to get this pivot table field list:

Your data model should only expose these fields.

In PowerPivot Diagram View, you should have only 17 columns included, and many of these will be hidden from client tools.

Now create this simple pivot table:

A pivot table showing the total quantity of items sold, by region.

The figure of 1984 for London looks suspiciously Orwellian. Use Quick Explore (right-click on the cell for the menu option) to drill down to show that this is made up of these figures:

The first few towns for this region.

Repeat this process to show:

the 773 figure for London town broken down by centre; then
the 122 figure for Leyton Mills broken down by store.

You should now see this:

You can use CTRL + Z to undo what you've done until you're back at the original pivot table.

Impressive stuff! Now add a slicer to your pivot table, and use it to show only towns for regions in the East and/or West Midlands:

You don't have to apply the hideous style shown here, but you should make your slicer have 3 columns.

Finally, create another pivot table showing the average price of transactions by shopping centre, and get this to be controlled by the slicer shown above also: