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Excel Business Intelligence: Power Query

Append queries

From the course: Excel Business Intelligence: Power Query

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  • Course details

    Microsoft Excel includes a powerful feature called Power Query—also known as Get & Transform or Get Data—which provides fast and powerful data gathering and cleansing capabilities. In this course—the first installment in the Excel Business Intelligence series—follow along with experienced Excel trainer Chris Dutton as he shows you the robust capabilities of Power Query. Chris kicks off the course by outlining the power Excel landscape and spelling out when to use business intelligence tools like Power Query, Power Pivot, and DAX. He then dives into Power Query, explaining how to leverage key query editing tools to connect and transform data. Learn about basic Power Query table transformations, text-specific query editing tools, how to merge and append queries, and more. Chris also shares best practices for working efficiently with Power Query.


    • Click here to view Chris Dutton’s instructor page

      Chris Dutton

      Founder & COO, Maven Analytics

      Chris Dutton is a certified Excel MOS Expert, edtech entrepreneur, and best-selling instructor.

      Chris has spent 10+ years specializing in data visualization and business intelligence. As founder and COO of Maven Analytics, Chris' work has been featured by Microsoft, HuffPost,, and the New York Times, reaching more than 500,000 students around the world. A leader in analytics education, Maven Analytics seeks to empower everyday people to change the world with data. Chris graduated summa cum laude and received the Charles G. Bluhdorn Prize in Economics at Tufts University.

    Skills covered in this course

  • Welcome

    - [Instructor] Next on the agenda, we've got appending queries. Now the appending tools live right next to the merge queries tool in that combined pane in the query editor. And when you open up the append options, you'll see a pretty simple dialog box. You can append just two tables or you can append three or more. In this case, what we're looking at here is the combination of two data tables, FoodMart_Transactions_1997 and FoodMart_Transactions_1998. Now appending queries allows you to combine or essentially just stack tables that share a common structure and set of columns. Now that's the most important key here, they have to share that common column structure and data type. So you can't try to stack a column that's formatted as a date in one table and a whole number in another. It won't let you do those mixed data types. So in this case, we're appending these two data tables and it's legal to do so because they each contain the same exact set of columns with the same defined data…

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