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Alteryx Designer Desktop Discussions

Find answers, ask questions, and share expertise about Alteryx Designer Desktop and Intelligence Suite.

Unique Values in a List

walkrebe
6 - Meteoroid

Hi,

 

I am trying to get a count of how many unique applications there are for certain groups from the data below 

FrequencyNameApplication
DailyAExcel, PowerPoint 
DailyAExcel
DailyAAlteryx, Excel
MonthlyAExcel, Word
MonthlyAPowerPoint
DailyBExcel
DailyBExcel

 

I want to count the number of unique applications grouped by frequency and name e.g like below - any suggestions of how I could do this please?

 

FrequencyName Number of Applications
DailyA3
DailyB1
MonthlyA3
7 REPLIES 7
hellyars
13 - Pulsar

@walkrebe 

 

Here is a potential solution.

 

Screenshot 2021-05-16 131409.png

hellyars
13 - Pulsar

@walkrebe 

 

I added a Select tool at the end to change Count to Number of Applications. 

 

The first Summary tool combines all the Applications for a given Frequency and Name.  Since they are separated by a comma "," I used a Text to Columns set to split to rows using the "," delimiter.  A Cleanse tool is necessary to get rid of extra white space, etc.  A Unique Tool filters out the duplicate values.  The second Summary tool then counts the number of unique applications associated with any Frequency+Name pair. 

 

 

Screenshot 2021-05-16 131800.png

 

apathetichell
20 - Arcturus

Here's the split into rows - summarize/count - data cleanse solution.

walkrebe
6 - Meteoroid

thanks - what action did you select in the summarise tool? 

apathetichell
20 - Arcturus

group by frequency. group by name. count distinct application.

 

that's after splitting application and datacleansing so " powerpoint" ="powerpoint"

walkrebe
6 - Meteoroid

What about in the first summarise? 

apathetichell
20 - Arcturus

2021-05-16.png

@hellyarsused a slightly different approach than me - that worfklow concatenates all values into one list (via summarize tool) - and then breaks down  - whereas I started by breaking down the values. The key elements are separating to rows by comma, data cleansing and then using a summarize. I used count/distinct in my workflow @hellyars uniqued and then counted - again both are totally solid ways to do.

 

 

Both results should work.

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