![]() ![]() ![]() #"Historical" = fHistorical(#"Symbol",#"Days") #"Changed Type" = Table.TransformColumnTypes(#"First Row as Header", #"First Row as Header" = Table.PromoteHeaders(Source), Source = Csv.Document(Web.Contents(""),), Try hitting the button “Advanced Editor”. And there is a data grid (not Excel this one is part of Power Query) to show the query results. There’s a whole lot of buttons here for transforming and massaging the returned data and everything that is done with the buttons in the GUI become M statements in an M query which can be a great way to learn the language. Here’s our first glimpse of the new data staging area. This will query the service, display the data and launch the Power Query editor. For this purpose, we’ll use simply “Web” and import the historical data service by pasting in the above URL. The New Query button has a huge number of different data sources. Pulling this data into Power Pivot is really easy from which it’s even easier to post process and report. This will return the latest quote for the stock CPU.AX with a number of fields identified by the f parameter.īoth APIs are very well documented (counter intuitively) at Google Code This will return historical prices between two dates. These APIs are simple web queries but predate the REST API conventions so don’t follow nice RESTful best practice. Yahoo Finance have kindly exposed a number of APIs for requesting stock price information (if used for non-commercial purposes), current and historical for just about every instrument you can think of. The New Query button replaces the previous Get External Data features of Excel and is the entry point to load data into the Power Query environment. After installing you should get a set of new buttons like this. So I set myself a goal to create a spreadsheet that auto updates with stock prices.įirst get a version of Excel (2010 or above) which supports Power Query and download the Power Query installer this is already embedded in the later versions of Excel but may need an update. It’s for the power business user to develop reports from data without the need to drop into or distribute Excel.
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