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Hi. I want to calculate a column if an instance is true.
I have two tables. Table one where I have a date for each date a car is at a location.
CAR ID | Location | Date |
1 | A | 1/1/2020 |
1 | A | 2/1/2020 |
1 | A | 3/1/2020 |
1 | A | 4/1/2020 |
2 | B | 10/1/2020 |
2 | B | 11/1/2020 |
2 | B | 12/1/2020 |
3 | B | 10/2/2020 |
3 | B | 11/2/2020 |
3 | B | 12/2/2020 |
This shows that Car 1 has been on location A between 1/1/2020 and 4/1/2020, and so on.
Further I have a table showing the usage of these cars per rental agreements.
Car ID | Start date | End date |
1 | 1/1/2020 | 3/1/2020 |
2 | 10/1/2020 | 10/1/2020 |
2 | 11/1/2020 | 11/1/2020 |
3 | 10/2/2020 | 11/2/2020 |
Expected result:
CAR ID | Location | Date | Is used (1 = Yes / 0 = No |
1 | A | 1/1/2020 | 1 |
1 | A | 2/1/2020 | 1 |
1 | A | 3/1/2020 | 1 |
1 | A | 4/1/2020 | 0 |
2 | B | 10/1/2020 | 1 |
2 | B | 11/1/2020 | 1 |
2 | B | 12/1/2020 | 0 |
3 | B | 10/2/2020 | 1 |
3 | B | 11/2/2020 | 1 |
3 | B | 12/2/2020 | 0 |
So basically what I want is to calculate the column "Is Used" in Table 1 based on if the Date in Table 1 is between Start and End date in table 2 for some rows with Car ID matching.
Anyone?
In advance, thank you so much.
Best regards,
Ruben
Solved! Go to Solution.
Hi,
Please check the below picture and the attached pbix file.
It is for creating a new column.
Is used CC =
IF (
COUNTROWS (
FILTER (
Agreement,
Agreement[Car ID] = Location[CAR ID]
&& Agreement[Start date] <= Location[Date]
&& Agreement[End date] >= Location[Date]
)
) = 0,
0,
1
)
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
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Hi,
Please check the below picture and the attached pbix file.
It is for creating a new column.
Is used CC =
IF (
COUNTROWS (
FILTER (
Agreement,
Agreement[Car ID] = Location[CAR ID]
&& Agreement[Start date] <= Location[Date]
&& Agreement[End date] >= Location[Date]
)
) = 0,
0,
1
)
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Thank you so much!
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