I have a wide excel file with price data, looking like this
Product | 2015-08-01 | 2015-09-01 | 2015-09-01 | 2015-10-01
ABC | 13 | 12 | 15 | 14
CDE | 69 | 70 | 71 | 67
FGH | 25 | 25 | 26 | 27
The date 2015-09-01 can be found twice, which in the context is valid but obviously messes up my workflow. It can be understood that the first value is the minimum price, the second one the maximum price. If there is only one column, min and max are the same.
Is there a way to resolve this issue?
An idea I had was the following: I also have cells that contain a value like "38 - 42", again indicating min and max. I resolved this by spliting it based on a Regex expression. What could be a solution is to join two columns that have the same header, to afterwards split the values according to my rules. That however would require me to detect dynamically if the headers are duplicates.
Is that something that is possible in Alteryx or is there an easier solution for this problem?
And of course asking the supplier of the file to change it is not really an option, unfortunatelly.
Thanks
EDIT: Just got another idea: I transpose the table to have the format
Product | Date | Price Low | Price High
So if I could check for duplicates in that table and somehow merge these records into one, that would do the trick as well.
EDIT2: Since I seem to haven't made that clear, my final result should look like the transposed table in EDIT1. If there is only one value it should go in "Price Low" (and then I will probably copy it to "Price High" anyway. If there are two values they should go in the according columns. @Poornima's suggestion resolves the duplicate issue in a more sophisticated form than putting a "_2" behind the column name, but doesn't put the value in the required column.