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Hello all,
I have dataframe like below:
Country | City | Neighbourhood | Date | Value | ExpectedValue |
AX | BY | CT | 1/14/2021 | 1 | 1 |
AX | BY | CT | 1/13/2021 | 0 | 1 |
AX | BY | CT | 1/12/2021 | 1 | 1 |
AX | BY | CT | 1/11/2021 | 1 | 1 |
AX | BY | CT | 1/10/2021 | 0 | 1 |
DX | EY | FT | 1/11/2021 | 0 | 0 |
DX | EY | FT | 1/10/2021 | 1 | 0 |
DX | EY | FT | 1/9/2021 | 1 | 0 |
DX | EY | FT | 1/8/2021 | 0 | 0 |
So for each Country-City-Neighbourhood pair I have multiple dates and each date has its own value(1 or 0)
I need to get the 'Value' on latest date as shown in 'ExpectedValue' column.
How can I write the DAX formula?
Any comment would be helpful.
Thanks a lot!
Solved! Go to Solution.
@Anonymous
Add this code as a new column to your table. Replace table and column names as necessary.
Exp Value =
var __Date =
MAXX(
FILTER(
'Table 7',
'Table 7'[Country] = EARLIER('Table 7'[Country]) &&
'Table 7'[City] = EARLIER('Table 7'[City]) &&
'Table 7'[Neighbourhood] = EARLIER('Table 7'[Neighbourhood])
),
'Table 7'[Date]
)
var __Value =
MAXX(
FILTER(
'Table 7',
'Table 7'[Country] = EARLIER('Table 7'[Country]) &&
'Table 7'[City] = EARLIER('Table 7'[City]) &&
'Table 7'[Neighbourhood] = EARLIER('Table 7'[Neighbourhood]) &&
'Table 7'[Date] = __Date
),
'Table 7'[ Value]
)
return
__Value
________________________
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@Anonymous
Add this code as a new column to your table. Replace table and column names as necessary.
Exp Value =
var __Date =
MAXX(
FILTER(
'Table 7',
'Table 7'[Country] = EARLIER('Table 7'[Country]) &&
'Table 7'[City] = EARLIER('Table 7'[City]) &&
'Table 7'[Neighbourhood] = EARLIER('Table 7'[Neighbourhood])
),
'Table 7'[Date]
)
var __Value =
MAXX(
FILTER(
'Table 7',
'Table 7'[Country] = EARLIER('Table 7'[Country]) &&
'Table 7'[City] = EARLIER('Table 7'[City]) &&
'Table 7'[Neighbourhood] = EARLIER('Table 7'[Neighbourhood]) &&
'Table 7'[Date] = __Date
),
'Table 7'[ Value]
)
return
__Value
________________________
If my answer was helpful, please click Accept it as the solution to help other members find it useful
Click on the Thumbs-Up icon if you like this reply 🙂
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
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