POWER BI EXERCISES▼
- PowerPivot data models (7)
- Pivot tables using PowerPivot (2)
- Using Excel tables (3)
- Using other data sources (1)
- Transforming data (Power Query) (7)
- Calculated columns (7)
- Measures (2)
- The CALCULATE function (15)
- More advanced DAX functions (5)
- Calendars (1)
- Date functions (10)
- Hierarchies (2)
- KPIs (5)
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PowerPivot | Transforming data (Power Query) exercise | Import a table of tallest buildings, and tidy it up
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You can learn how to do this exercise on the relevant Wise Owl classroom training course (sadly for the moment only in the UK).
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Create a new Excel workbook, and create a query based on the Tallest buildings worksheet in the Tables workbook in the above folder.
Apply transforms and create a new Metres per floor column to get this:
Use the pinnacle height to get the height in metres and feet, and remove the roof height column.
Warning: the character before the m and ft at the end of the height in metres and feet doesn't seem to be a space. Your best bet is to remove the m and ft, and then apply the Trim transform (if you can find it, that is).
Now get rid of all but these 3 columns:
You'll also need to remove any buildings with null completion years, and sort by the completion year.
Create a pivot transform to show the number of buildings by country and completion year:
The first few countries and years that you should see.
Show this data in a PowerPivot data model.
Save your workbook as But why, and close it down.