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## 3 Values, Total Value, Selected Value, Partial Values

Hi all.

Well, I have to do 3 Measures.

1 Show values all month

2 Show values selected month

3 Show values partial month

Ex:

1 ACCEPTED SOLUTION
Community Support

Hi @DiegoReis,

You can refer to below steps to achieve your requirement.

Prerequest:

1. Create two slicer tables based on current table columns.
2. Slicer tables can't contains relationship to original table.

Steps:

1 Write formula to create slicer tables:

```Value Slicer = VALUES('Records'[Value])
Month Slicer = VALUES('Records'[Month])```

2. Create slicer with above table columns.

3. Write measure based on slicer.

```Total Value(All Month) = CALCULATE(SUM('Records'[Value]),ALL('Records'[Month]))

Total Value(Selected Month) = SUMX(FILTER(ALL('Records'),[Month] in ALLSELECTED('Month Slicer'[Month])),[Value])

Month Detail = CONCATENATEX(FILTER(ALL('Records'),[Value] in ALLSELECTED('Value Slicer'[Value])),[Month],",")```

Result:

Regards,

Xiaoxin Sheng

Community Support Team _ Xiaoxin
If this post helps, please consider accept as solution to help other members find it more quickly.
Community Support

Hi @DiegoReis,

You can refer to below steps to achieve your requirement.

Prerequest:

1. Create two slicer tables based on current table columns.
2. Slicer tables can't contains relationship to original table.

Steps:

1 Write formula to create slicer tables:

```Value Slicer = VALUES('Records'[Value])
Month Slicer = VALUES('Records'[Month])```

2. Create slicer with above table columns.

3. Write measure based on slicer.

```Total Value(All Month) = CALCULATE(SUM('Records'[Value]),ALL('Records'[Month]))

Total Value(Selected Month) = SUMX(FILTER(ALL('Records'),[Month] in ALLSELECTED('Month Slicer'[Month])),[Value])

Month Detail = CONCATENATEX(FILTER(ALL('Records'),[Value] in ALLSELECTED('Value Slicer'[Value])),[Month],",")```

Result:

Regards,

Xiaoxin Sheng

Community Support Team _ Xiaoxin
If this post helps, please consider accept as solution to help other members find it more quickly.

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