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I have a table which contain duplicated date column(table 1).
Table1 | |||
ID | Date | column3 | columN |
1 | 30 March 2020 | ||
2 | 30 March 2020 | ||
3 | 5 April 2020 | ||
... | |||
... | |||
m | 1 June 2020 |
I created Table 2 using
Table 2 = SUMMARIZE(Table 1, Table 1[Date], "count", COUNT(Table 1[Date]))
Table2 | |
Date | count |
30 March 2020 | 2 |
5 April 2020 | 1 |
.. | |
1 June 2020 | 5 |
So, Table 2 will have unique values for Date column. There are missing values in Date column.
Now, trying to create Table 3 to make the Date column continues and put the count column value will be taken from previous date for missing date.
Table3 =
ADDCOLUMNS(
CALENDAR(MIN(Table2[Date]), MAX(Table2[Date])),
"count",
LOOKUPVALUE(
Table2[count],
Table2[Date],
MAXX(
FILTER(Table2, Table2[Date] <= EARLIER([Date])),
[Date]
)
)
)
But getting error: "A single value for column in table cannot be determined. This can happen when a measure formula refers to a column that contains many values without specifying an aggregation such as min, max, count, or sum to get a single result"
I assume that, this is because Table2 is a derived from Table1 where Date column contain duplicate values.
Is there any way to fix this? Please let me know. Thanks in advance.
Solved! Go to Solution.
Hi @hpoyil
The formula works fine on my side, kindly check the attachment:
The error always happens when you're trying to create a measure instead of a calculated column. you might provide the dummy pbix that we can check it further.
Hi @hpoyil
The formula works fine on my side, kindly check the attachment:
The error always happens when you're trying to create a measure instead of a calculated column. you might provide the dummy pbix that we can check it further.
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