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## Creating a measure based on a fixed table and a fact table

I am trying to create a measure based on 2 tables (fixed data and dataset). The measure is the Daily Availability (number and/or percentage).

Table 1 has all the different Max availability for each terminal:

 Terminal Max GA 1 10 2 20 3 10

Table 2 has all the unique values of unavailability.

 Date Terminal 15/08/2019 1 15/08/2019 3 15/08/2019 1 15/08/2019 3 16/08/2019 1 18/08/2019 1

Table 1 and 2 has a relationship based on terminal.

For the visual I am using my date table that has a relationship with table 2 based on date.

When I test the calculation per day, the expression I used does not hold true when there are multiple entries of a specific terminal on a specific day.

My expression: GA= sumx(Table2,related(Table1Column2)-[Unavailable])

 Date Terminal Max Unavailable GA 15/08/2019 1 10 3 7 15/08/2019 3 10 2 8 15/08/2019 1 10 1 9 15/08/2019 3 10 5 5 16/08/2019 1 10 3 7 18/08/2019 1 10 2 8

which is not true because its suppose to be:

 Date Terminal Max Unavailable GA 15/08/2019 1 10 3 7 15/08/2019 3 10 2 8 15/08/2019 1 10 1 6 15/08/2019 3 10 5 3 16/08/2019 1 10 3 7 18/08/2019 1 10 2 8

So that when I filter on date first, I see the final GA per terminal. Please help.

1 ACCEPTED SOLUTION
Community Support

Hi @Noah_Mom ,

At first, you need to create an index column in the Table 2.

Then create “value” , “count” , ”UnavailableAgg” columns in order.

```value =
RANKX (
FILTER (
Table2,
Table2[Terminal] = EARLIER ( Table2[Terminal] )
&& Table2[Date] = EARLIER ( Table2[Date] )
),
Table2[Terminal],
,
)
```
```Count =
CALCULATE (
SUM ( 'Table2'[Value] ),
FILTER (
ALLEXCEPT ( 'Table2', 'Table2'[Terminal] ),
'Table2'[Date] = EARLIER ( 'Table2'[Date] )
&& 'Table2'[Terminal] = EARLIER ( 'Table2'[Terminal] )
&& 'Table2'[index] <= EARLIER ( 'Table2'[index] )
)
)
```
```UnavailableAgg =
CALCULATE (
SUM ( Table2[Unavailable] ),
FILTER (
Table2,
Table2[Count] <= EARLIER ( Table2[Count] )
&& Table2[Terminal] = EARLIER ( Table2[Terminal] )
&& Table2[Date] = EARLIER ( Table2[Date] )
)
)
```

Now, modify your measure “GA” and get the right visual.

```GA =
SUMX ( Table2, RELATED ( Table1[Max GA] ) - Table2[UnavailableAgg] )
```

Best Regards,

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

If this post helps, then please consider Accept it as the solution to help the other members find it.
Community Support

Hi @Noah_Mom ,

At first, you need to create an index column in the Table 2.

Then create “value” , “count” , ”UnavailableAgg” columns in order.

```value =
RANKX (
FILTER (
Table2,
Table2[Terminal] = EARLIER ( Table2[Terminal] )
&& Table2[Date] = EARLIER ( Table2[Date] )
),
Table2[Terminal],
,
)
```
```Count =
CALCULATE (
SUM ( 'Table2'[Value] ),
FILTER (
ALLEXCEPT ( 'Table2', 'Table2'[Terminal] ),
'Table2'[Date] = EARLIER ( 'Table2'[Date] )
&& 'Table2'[Terminal] = EARLIER ( 'Table2'[Terminal] )
&& 'Table2'[index] <= EARLIER ( 'Table2'[index] )
)
)
```
```UnavailableAgg =
CALCULATE (
SUM ( Table2[Unavailable] ),
FILTER (
Table2,
Table2[Count] <= EARLIER ( Table2[Count] )
&& Table2[Terminal] = EARLIER ( Table2[Terminal] )
&& Table2[Date] = EARLIER ( Table2[Date] )
)
)
```

Now, modify your measure “GA” and get the right visual.

```GA =
SUMX ( Table2, RELATED ( Table1[Max GA] ) - Table2[UnavailableAgg] )
```

Best Regards,

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

If this post helps, then please consider Accept it as the solution to help the other members find it.

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