Hi Community,
I had encountered the original data date which contain the following:
May i know how can we use Alteryx to identify if there is any date format as shown as above and update it to the correct date format : 2020-11-20.
Thank you for your time
Solved! Go to Solution.
@SH_94
We may have to do the brutal way.
Hi @ Qiu,
Can you briefly explain when do we need to use REGEXMATCH function and how to use it as it seems complex to build the formula? I would like to understand it so that i can edit and tailor to my data . Can we use this REGEXMATCH formula as well if we have the data date below?
Previously i use the DateTimeParse to edit the data as below and it give me the result as below. Could you please advise how to edit it?Basically i want the result in date but the data produce give me result in numbers
@SH_94
The row#2 and #5 are not possible to parse, OK. maybe possible for these two data.
But when it comes to 2020-04-05, there is no way we can know which is day, which is month.
RegEx_match is to search the patttern with Regex, if fits then parse.
Hi Qiu,
If that is the case, may i know how can we solve it for the format below ?as i got plenty of data shown as per the screenshot below .
Is there any way we can segregate it out and build another formula for this type of data?
Thank you.
@SH_94
What is the Product Result(Date)?
Which one you want to convert? the first column or the second?
Hi @SH_94,
I have found this post in the community:
Thanks to that I have created this workflow:
If you want to change the number (44155) you just need to use the below formula:
ToDate([date])
Output:
@Emil_Kos
Nice one.
Until now, I learned that ToDate Fucntion can be used to convert UNIX Epoch time
Hi Qiu ,
I actually want change the first column from string to date but after i applying Date Timeparse, it become number at the end.
Hi @SH_94,
The first column: 2020-11-20 is in actual date format so it should be working.
If it will not work you can use this formula:
DateTimeParse([Field1],'%y-%m-%d')