I have a table with users and various fields relating to each event. Here is an example:
user | City | State
user1 | SLO | CA
user1 | SLO | CA
user1 | LA | CA
user2 | PHX | AZ
I want to merge each the entries by user, and move the unique values in every field to new fields and have the values of the new fields be the ratio like so:
user | City-SLO | City-LA | City-PHX | State-CA | State-AZ
user1 | .66 | .33 | 0 | 1 | 0
user2 | 0 | 0 | 1 | 0 | 1
I tried to do this using the foreach command, but it didn't work as expected (the value 0 is put in just for experimenting and will be changed):
... | foreach * [eval <<FIELD>>-"<<FIELD>>"=0]
Is there a way to create new fields based on dynamic data?
Sorry about the poor description and the crude tables.
I found the answer here: http://answers.splunk.com/answers/103700/how-do-i-create-a-field-whose-name-is-the-value-of-another-...
Apparently, it isn't documented, but you can use curly braces to get the value of the field. This is my final foreach query:
... | foreach * [eval <