POWER BI EXERCISES▼
POWER BI EXERCISES▼
- Basic reports (10)
- Data sources (2)
- Query editor (8)
- Filtering data (9)
- Drill-through (1)
- Charts (10)
- Matrices (1)
- Basic maps (6)
- Calculated columns (8)
- Roles and security (1)
- Drill-through and bookmarks (3)
- Report themes (2)
- Power BI mobile (1)
- Tooltips (2)
- Bookmarks (4)
- Quick measures (3)
- Custom visuals (3)
- Advanced data sources (4)
- Parameters (5)
- Power BI Templates (1)
Power BI | Basic maps exercise | Create a map of house price sales by location for the UK
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.
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.
Create a new Power BI Desktop file, and load data from both worksheets in the Excel workbook in the above folder.
In Query Editor, solve this problem:
Make the first row of the table into the row headers for it.
Create a relationship between the two tables:
The two tables weren't automatically linked because the field names aren't the same.
Now create a slicer allowing you to show only certain types of houses:
Choose to show detached houses - no terraced houses for this exercise!
Now create a map showing the number of sales of this house type for our September 2016 data by location:
Things aren't looking good - Power BI Desktop is not recognising that the locations are all in the UK.
To get your map to load more quickly, apply a filter to it so that you only see house sales where the sales price was at least £1,000,000.
Create an additional column in the main table suffixing , UK onto the end of each location, and use this instead in your map:
Save this as North South divide, then close down the Power BI instance containing it.