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I have a data in which I want to create a column which will categorize Date if its latest or second latest or not latest.
The latest and second latest will change according to the data available for specific product/region.
Geography | Industry | Date | Required Column |
China | fuel | 01 September 2022 | Latest |
China | fuel | 01 August 2022 | Second` |
China | fuel | 01 July 2022 | Not latest |
India | fuel | 01 August 2022 | Latest |
India | fuel | 01 July 2022 | Second |
India | fuel | 01 June 2022 | Not Latest |
Solved! Go to Solution.
Hi @Anonymous ,
You can try this code to create a calculated column
Required Column =
VAR _RANK =
RANKX (
FILTER (
'Table',
'Table'[Geography] = EARLIER ( 'Table'[Geography] )
&& 'Table'[Industry] = EARLIER ( 'Table'[Industry] )
),
'Table'[Date],
,
DESC,
DENSE
)
RETURN
SWITCH ( _RANK, 1, "Latest", 2, "Second", "Not Latest" )
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
You can try this code to create a calculated column
Required Column =
VAR _RANK =
RANKX (
FILTER (
'Table',
'Table'[Geography] = EARLIER ( 'Table'[Geography] )
&& 'Table'[Industry] = EARLIER ( 'Table'[Industry] )
),
'Table'[Date],
,
DESC,
DENSE
)
RETURN
SWITCH ( _RANK, 1, "Latest", 2, "Second", "Not Latest" )
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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