ALL SOFTWARE EXERCISES
- EXERCISES HOME PAGE (893)
- Access 2010 (66)
- Access VBA Macros (17)
- Advanced VBA (29)
- DAX (0)
- Excel (0)
- Excel 2010 (83)
- Excel 2013 (10)
- Excel 2016 (0)
- Excel VBA Macros (37)
- Power BI - Excel 2013 (25)
- Power BI - Excel 2016 (24)
- Power BI Desktop (26)
- PowerPivot 2010 (26)
- Report Builder (42)
- SQL (192)
- SSAS - multidimensional (21)
- SSAS - tabular (29)
- SSIS Integration Services (40)
- SSRS 2012 (53)
- SSRS 2016 (43)
- Visual Basic (45)
- Visual C Sharp (65)
- WPF - Visual C# (20)
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)
- More advanced DAX functions (3)
- Date functions (3)
- KPIs (2)
- Power View basics (1)
- Power View Filters (1)
- Power View maps (1)
- Power Map (GeoFlow) (1)
Exercise: Use the VALUES function to analyse sales by shopping centre
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 course listed below!
You need a minimum screen resolution of about 700 pixels width to see our exercises. This is because they contain diagrams and tables which would not be viewable easily on a mobile phone or small laptop. Please use a larger tablet, notebook or desktop computer, or change your screen resolution settings.
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 data model to include these tables (it doesn't matter what it looks like, nor do you have to hide all of the fields shown from client tools):
The tables needed for this exercise.
Create a pivot table showing the number of transactions by centre and product within Leeds:
Filter your pivot table to show only data for the town Leeds.
Now add another column showing the number of transactions for each cell, but excluding Crown Point figures:
The figures for the first couple of products.
You'll need to use the VALUES function, as you want to amend the query context for shopping centres, not replace it.
Save this as Useful pivot table, then close it down.