Exercise: Import financial data, and split it into different columns

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Category ==> Power BI - Excel 2016  (23 exercises)
Topic ==> Transforming data (Power Query)  (3 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 also filter the table in Power Query to omit any investments where the price is 0.00$.

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

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