This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
I have a dataset I'm receiving each month where I have two similar fields - Reporting Period and Month. In this data set, I am effectively getting one month of NEW transactions each month and eleven months of prior period transactions. However, the prior period transactions may be different to what's been received in the prior periods as users of the source system have the ability to overwrite existing records.
What I'm trying to do with the dataset is to split the transactions into one of two groups - effectively, if they're NEW transactions, they follow a single process. If they're prior period transactions, they are compared to what we've received previously to determine if an adjustment is required.
How I'd like to do this is using a filter, which effectively evaluates this expression as true or false for each transaction:
IF [REPORTING PERIOD]=[MONTH} then 'TRUE' else 'FALSE' ENDIF
I know I could use a formula tool and add this in as an extra field, but honestly, I was wondering if it's possible to use an actual filter tool to accomplish this?