ALL SOFTWARE EXERCISES
- EXERCISES HOME PAGE (862)
- Access 2010 (66)
- Access VBA Macros (17)
- Advanced VBA (29)
- ASP.NET MVC (0)
- ASP.NET webforms - C# (25)
- ASP.NET webforms - VB (27)
- Excel 2010 (83)
- Excel 2013 (10)
- Excel 2016 (0)
- Excel VBA Macros (37)
- Power BI - Excel 2013 (25)
- Power BI - Excel 2016 (23)
- Power BI Desktop (26)
- PowerPivot 2010 (26)
- Report Builder 3.0 (42)
- SQL (156)
- SSAS - multidimensional (21)
- SSAS - tabular (29)
- SSIS Integration Services (40)
- SSRS Reporting Services (53)
- Visual Basic 2010 (42)
- Visual C Sharp 2010 (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: Using the SWITCH Function to Sum by Age Band
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.
The aim of this exercise is to divide staff up into 3 bands as follows:
|Year of date of birth||Description|
|Up to and including 1960||Old|
|Up to and including 1985||Middle-aged|
You should then use this to get a pivot table showing the average quantity of goods in each transaction by age category, as well as the number of transactions:
There isn't much difference, making one wonder whether this is genuine data, or just randomly generated numbers. Surely Wise Owl wouldn't stoop so low?
To start, if you haven't already done so run the script in the above folder to generate the MAM database (not for commercial use or copying).
Now import the tblStaff, tblPos and tblTransaction tables (giving them friendly names), and create a relationship between the Staff and Pos tables.
In the staff table, create two new calculated columns:
|Column name||What it should contain|
|BirthYear||The year in which this person was born.|
|AgeBand||A verdict on the person's age, using the table above.|
Use either a nested IF function to get the age band, or else (better) the SWITCH function.
Use this information to derive the pivot table at the start of this exercise.
Save your workbook as Feeling old, then close it down.