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PowerPivot | Transforming data (Power Query) exercise | Import financial data, and split it into different columns
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.
Software ==> | PowerPivot (75 exercises) |
Version ==> | Excel 2016 and later |
Topic ==> | Transforming data (Power Query) (7 exercises) |
Level ==> | Average difficulty |
Subject ==> | Power BI training |
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In a new workbook, use Power Query to load data from the Exchange Rates table in the Tables workbook:

Initially the data looks like this.
Load this into a PowerPivot data model, splitting the currencies:

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:

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:

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.