WISE OWL EXERCISES
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)
- Power View (4)
- Power BI Desktop overview (3)
- Power BI Desktop maps (1)
PowerPivot | Transforming data (Power Query) exercise | Split column to divide exchange rates and share prices
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In a new workbook, use Power Query to link to the workbook called Tables in the above folder, and choose the Exchange Rates table.
Tell Power Query you want to use the first row as column headers to get:
We'll split the first column into two.
Split the first column and then rename and remove columns to get the following table, then load this data into Excel:
The final table.
Too easy? Create a similar query for the Share Prices table in the Tables workbook, to load this into Excel:
The final table will split each investment into the name and the code.
Save this workbook as Splitting Columns, then close it down.