Applying Data Profiling Tool on Multiple Tables simultaneously
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Can we create a workflow which takes list of tables as an input and and apply Basic Profiling Tool on them for their summary at once. ?
I have a database which have around 40 tables , i want to apply Basic Profiling Tool on it at once (not one by one)
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- Data Investigation
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Hello @tjamal1 , have your table the same structure? If so, you can use a batch macro with a dynamic input to load the data and use the basic data profile tool on the result.
(If this post helps, then please consider it as the solution to help the other members find it more quickly).
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Hi
My Tables different structure
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Does all of them have different structure or there are groups of tables with similar structure?
For a quick data profiling of all the columns within a table I recommend you to use a Field Summary tool within the Data Investigation category
https://help.alteryx.com/current/Field_Summary_Report.htm
Best,
Vianney
Vianney
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All tables have different structure and there is no grouping among them.
Can I apply Field summary tool on multiples in a recursive way , so that every time my workflow runs it takes all tables one by one and show their field summary
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Hi @tjamal1,
Here I have created a small macro that shows how you could read several files (in your case tables) and apply to filed summary tool.
You need to have your tables as rows (in my case to simulate your scenario, I read some files with the directory tool)
then you pass to the macro the files' location (in you case of the tables)
The batch macro will read the file path and send all the information the Field Summary. Here it is important that you go to the View > Interface
Designer > Properties and change the output to: auto configure by Name
Attached the workflow.
Let me know if you have any questions
Best,
Vianney
Vianney
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Thanks ,
Can you provide me the workflow for Alteryx Desktop Version 2019.3
I am using an Older Version
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Hi, @tjamal1,
Please let me know if you have any problems with these versions
2019,3
Best,
Vianney
Vianney
