How to use Regular Expression to build Classification Rule Builder in Adobe Analytics

Question

Hi All,Just want to understand, how it is possible to make a proper logic using Regular Expression (Classification Rule Builder) in Adobe Analytics to make structured data like the screenshot below from first screenshot to second screenshot.Before - Its look likeAfter - Could you please help me to provide the regular expression (logics)!Thanks,Vijay

PratheepArunRaj · Accepted Answer

Dear Vijay,Don't have time to work on the above bucket since it need more effort.Below the buckets with few modifications and i hope even the below is good to go for you.Also, i believe that captured numbers are in Milliseconds. If not, logic will also change.More than 50 Sec : \dLess than 10 Sec : ^([0-9]|[0-9][0-9]|[0-9][0-9][0-9]|[0-9][0-9][0-9][0-9])$10 to 19 Sec : ^([1][0-9][0-9][0-9][0-9])$20 to 29 Sec : ^([2][0-9][0-9][0-9][0-9])$30 to 39 Sec : ^([3][0-9][0-9][0-9][0-9])$40 to 49 Sec : : ^([4][0-9][0-9][0-9][0-9])$The rules must be placed in the same order.Thank You!Arun

PratheepArunRaj · Answer

Dear Vijay,I have grouped it based on Milliseconds itself. But you can edit the below to create your own!> 600 ms : \dLess Than 30 ms : ^([0-9]|[1][0-9]|[2][0-9]|30)$>30 And <=60 ms : ^([3][1-9]|[4][0-9]|[5][0-9]|60)$>60 And <=120 ms : ^([6][1-9]|[7][0-9]|[8][0-9]|[9][0-9]|[1][0-1][0-9]|120)$>120 And <=300 ms : ^([1][2][1-9]|[1][3-9][0-9]|[2][0-9][0-9]|300)$>300 And <=600 ms : ^([3][0][1-9]|[3][1-9][0-9]|[4-5][0-9][0-9]|600)$Thank YouArun

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