Forum Discussion
extract date
- Anonymous1 year ago
Thanks for the reply from rajendraongole1 and ray_aramburo.
Hi anoomohan ,
During my testing, both C and D options were able to get date columns with a hierarchical structure. The difference is that C will split the column into date and visual (the question doesn't talk about whether the time and original data are still needed), while column D needs to be extracted with the date in text form, which still needs to be formatted. If a correct answer is needed, then C is straightforward to get the desired result, while D requires an additional step, so I would choose C.
Best Regards,
ZhuIf there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi anoomohan - correct answer is: Apply a transformation to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
Explaination: The column "Logged" contains both date and time.To analyze by date, you should extract only the date portion from the string (first 10 characters).
Plea
right answer given is to split the column with at as delimiter
in fact, different sites give different answer for this question