Forum Discussion
graefs
1 year agoFrequent Visitor
Tracking Changes under Unique ID
Data Example: Table1
| Part # | Type | Date |
123 | A | 1/1/24 |
| 123 | B | 1/3/24 |
| 123 | A | 1/6/24 |
| 456 | B | 1/1/24 |
| 456 | B | 1/2/24 |
| 456 | A | 1/9/24 |
Desired Result: Table2
| Part # | Variance |
| 123 | 2 |
| 456 | 1 |
- Anonymous1 year ago
Hi graefs ,
I’ve made a test for your reference:
1\I assume there is a table(Table1)
2\Add a new column for Table1
TypeChange = VAR CurrentType = 'Table1'[Type] VAR PreviousType = CALCULATE( MAX('Table1'[Type]), FILTER( 'Table1', 'Table1'[Part] = EARLIER('Table1'[Part]) && 'Table1'[Date] < EARLIER('Table1'[Date]) ) ) RETURN IF(CurrentType <> PreviousType && NOT(ISBLANK(PreviousType)), 1, 0)3\Create a new calculate table
NewTable = SUMMARIZE(Table1,Table1[Part],"Variance",SUM(Table1[TypeChange]))Best Regards,
Bof
1 Reply
- AnonymousNot applicable
Hi graefs ,
I’ve made a test for your reference:
1\I assume there is a table(Table1)
2\Add a new column for Table1
TypeChange = VAR CurrentType = 'Table1'[Type] VAR PreviousType = CALCULATE( MAX('Table1'[Type]), FILTER( 'Table1', 'Table1'[Part] = EARLIER('Table1'[Part]) && 'Table1'[Date] < EARLIER('Table1'[Date]) ) ) RETURN IF(CurrentType <> PreviousType && NOT(ISBLANK(PreviousType)), 1, 0)3\Create a new calculate table
NewTable = SUMMARIZE(Table1,Table1[Part],"Variance",SUM(Table1[TypeChange]))Best Regards,
Bof