Filtering a table by 2 different dates and then compare the same elements of both tables

[v-mgonzaleza]

Hi, I think this request is not an easy one, but lets try it.

I have a table that is the result of appending many similar tables, each one with its own Snapshot (which I take with a macro in Excel and then read all the snapshots and append in PBI). The result is a table like the next one. Some days new IDs can appear, some days they will disappear, some days they will remain but change the Status:

table1:

ID	Status	Snapshot Date
1	Won	16/06/2022
2	Won	16/06/2022
3	Lost	16/06/2022
4	Lost	16/06/2022
5	Open	16/06/2022
6	Open	16/06/2022
1	Won	17/06/2022
2	Lost	17/06/2022
4	Open	17/06/2022
6	Won	17/06/2022
7	Lost	17/06/2022
1	Won	20/06/2022
2	Won	20/06/2022
3	Open	20/06/2022
4	Open	20/06/2022
5	Lost	20/06/2022
10	Open	20/06/2022

Once I have this table I make a filter in my dashboard, where you can select 2 dates, and both dates will be compared. This has to be dinamyc, because my first approach was creating columns instead of measures and it didn't work:

For example, in this case I have selected these 2 dates and then I capture them using 2 measures:

Date MAX = MAX('Table1'[Snapshot Date])

Date MIN= MIN('Table1'[Snapshot Date])

Then where I'm struggling is to compare both filtered table by these 2 dates, since I have to compare them by ID and apply a logic.

Let's say that the logic is:

1. Same ID the Status has changed="Different"
2. Same ID, the Status remains the same="Same"
3. There is a new ID in the latest date then="New"

For example, if I want to compare the selected dates the results should be:

• Same = 2 (IDs 1, 2)
• Different = 3 (IDs 3, 4, 5)
• New = 1 (ID 10)

Do you know how to do this? or should I use a different approach? 

Thanks,

Miguel

[amitchandak · Accepted solution]

@v-mgonzaleza , try these measures

Same Status on both Dates = //slicer date can be from Table too , I assumed date table
var _max = minx(allselected(Date), Date[Date])
var _min = maxx(allselected(Date), Date[Date])
var _minst =calculate(Max(Table[Status], Filter(Table,Table[Date] =_min ) )
var _maxst = calculate(Max(Table[Status], Filter(Table,Table[Date] =_max ) )
return
countx(filter(Values(Table[ID]), _minst = _maxst && not(isblank(_minst)) && not(isblank(_maxst)) ), [ID])

Diff Status on both Dates = //slicer date can be from Table too , I assumed date table
var _max = minx(allselected(Date), Date[Date])
var _min = maxx(allselected(Date), Date[Date])
var _minst =calculate(Max(Table[Status], Filter(Table,Table[Date] =_min ) )
var _maxst = calculate(Max(Table[Status], Filter(Table,Table[Date] =_max ) )
return
countx(filter(Values(Table[ID]), _minst <> _maxst && not(isblank(_minst)) && not(isblank(_maxst)) ), [ID])

new on max =
var _max = minx(allselected(Date), Date[Date])
var _min = maxx(allselected(Date), Date[Date])
var _minst =calculate(Max(Table[Status], Filter(Table,Table[Date] =_min ) )
var _maxst = calculate(Max(Table[Status], Filter(Table,Table[Date] =_max ) )
return
countx(filter(Values(Table[ID]), (isblank(_minst)) && not(isblank(_maxst)) ), [ID])

same as this blog, you are just using one date range

Customer Retention Part 1:
https://community.powerbi.com/t5/Community-Blog/Customer-Retention-Part-1-Month-on-Month-Retention/b...