Parsing Dates with Different Formats

user10986

Does anyone have any guidance for using a formula/function in a beast mode or using the regex functionality to ensure Domo recognizes all of the dates below as the same?

• 5/12/2022
• 5/12/22
• 2022-05-12
• 5.12.2022
• 5.12.22

MarkSnodgrass

You can wrap a couple REPLACE functions around your field that replaces the hyphens and periods with slashes followed by the DATE function to format these as date. It would look something like this:

DATE(
 REPLACE(
 REPLACE(`String`,'-','/')
  ,'.','/')
 )

user10986

Thanks - that worked for most of the entries - but now all the ones that had 22 as the year vs. 2022 still aren't showing up well. So I'm left with the remaining formats:

• 22-5-20
• 22-2022-05

I thought about doing a replace on 22 to 2022 but I'm afraid that will impact 5/22/2022 items.

MarkSnodgrass

Can you post your formula? Wrapping the DATE function around everything should normalize the years.

user10986

DATE(

 REPLACE(

 REPLACE(`Interview Scheduled Date`,'-','/')

 ,'.','/')

 )

user10986

Actually the dataset errored out - let me investigate further.

user10986

It keeps erroring out noting "Failed to convert value '005/27/22' from type 'String' to type 'Date'."

I then added to your formula

DATE(

 replace(REPLACE(

 REPLACE(`Interview Scheduled Date`,'/','-')

 ,'.','-'),'00','0')

 )

But I got this result, "Failed to convert value '05-27-22' from type 'String' to type 'Date'."

MarkSnodgrass

See how close this gets you:

DATE(
REPLACE(
REPLACE(
REPLACE(`Interview Scheduled Date`,'00','')
 ,'-','/')
 ,'.','/')
 )

This still might not work for 100% of your data because it seems like you have rows with 2 digit years in different spots and Domo won't know if that is a year or a day. You might need to try and thinking about incorporating a case statement as well and performing different logic based on certain conditions.

user10986

Got it - I will look at the case logic - from your last note - I got the following error:

"Failed to convert value '22/04/18' from type 'String' to type 'Date'."

user10986

I think the logic is helpful enough - I think I will have to add some data validation to the front end.