PowerPivot | Transforming data (Power Query) exercise | Import financial data, and split it into different columns

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Software ==> PowerPivot  (75 exercises)
Version ==> Excel 2016 and later
Topic ==> Transforming data (Power Query)  (7 exercises)
Level ==> Average difficulty
Course ==> PowerPivot / Excel Power BI
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In a new workbook, use Power Query to load data from the Exchange Rates table in the Tables workbook:

The initial data

Initially the data looks like this.

 

Load this into a PowerPivot data model, splitting the currencies:

Currency data

As a bonus task, filter the data to exclude the (pointless) GBP to GBP exchange rate.

 

Too easy?  Load data from the Share Prices worksheet in the Tables workbook:

Investments data

The investment symbol needs splitting out, and the price should be numeric.

 

Split the investment into the name and code, and make the price into a number, to get something like this:

Sorted investments

Investments sorted by the Change column, with the highest value first. You should filter the table in Power Query to omit any investments whose prices contain $ or € symbols.  You can type in a € by pressing Alt + Ctrl + 4.

Save this workbook as Splitting Shares, then close it down.

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