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Creating an AVG for a Tableau benchmark comparision

Meteoroid

Hi guys, I'm a new but very impressed Alteryx user. I work with education data and one of the core questions we get from schools is "my 5th graders' average score was a 3.5, is that good?"

 

The answer is almost always relative and based on a comparison of a given school's (or student's) scores to the average of all other schools or students (eg. same grade, school, district, student type, etc).

 

Tableau isn't great at creating a benchmark from an average as the basis of comparison, so I am hoping I can create the benchmark average in the data by using Alteryx.

 

Can anyone point me in the right direction for how to accomplish this in a straight-forward way with Alteryx?

 

Basically, how do I create a new column that contains the average of a particular measure and level of aggregation?

 

Thanks in advance!!!!

 

-Chris 

Alteryx Partner

Hi Chris. The Formula Tool will let you create a new field for your data that can compute an average, as well as many other calculations. Was that what you were looking for?

 

alteryx1.png

 

https://help.alteryx.com/9.5/index.htm#Formula.htm%3FTocPath%3DTool%2520Palette%7CPreparation%7C____...

Meteoroid

Thanks, GC, but it's still not totally clear. Let me share a few more details of my use case:

 

I have survey data, the survey is 39 questions that are in 7 different groupings. 

 

I also have a common education hierarchy: all, school district, school, grade, student.

 

What I need is the average at every intersection in order to display a "benchmark" against which any level of the school hierarchy can be compared against an benchmark.

 

For example, if I show a given school's 5th grade average for one of the questions or question groupings, and the score is a 3.5, I need a benchmark average to be able to show that the average score across all 5th graders in the district, or across all 5th graders is X (say, 3.1). 

 

Does that make sense? Thanks!!

 

-Chris

 

 

Alteryx Partner

OK I see. Would it be possible for you to send a small data sample to look at? That would be most helpful at this point.

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