Filter on unique values

[Anonymous]

Order	Created week	Reported week	Priority	Status
1000888	1	1	urgent	Initiative
1000888	1	2	urgent	In progress
1000888	1	3	urgent	Evaluate
1000989	2	2	low	In progress
1000888	1	4	urgent	Finished
1000891	3	2	high	In progress
1000891	3	3	high	Evaluate
1000990	1	3	low	Initiative

Hi all,

I have the above dataset where on a weekly base we do a snapshot of our database containing orders with corresponding statuses. Every week a new shapshot is labeled using the reported week column, in this way you can see on a weekly basis if the status of an order has changed. The created week column provides the week in which the order is created and helps to find out if in a given week new orders have been entered.

I would like to have a visual where I can show how many new orders have been entered in a week with the status high en urgent, does anybody have an idea how I could do that? A new order can change status within a week, so filtering on initiative is not an option. E.g.: maybe the first week a ordernumber is shown you would like to have an extra column generating a 1 and if the ordernumber already popped up a week earlier that column should be left empty.

Cheers,

Lucas

[v-deddai1-msft · Accepted solution]

Hi @Anonymous ,

Would you please refer to the following measure:

Measure = CALCULATE(DISTINCTCOUNT('Table'[Order]), FILTER('Table','Table'[Created week] = MAX('Table'[Created week])&&  CALCULATE(MAX('Table'[Priority]),FILTER(ALLEXCEPT('Table','Table'[Order]),'Table'[Reported week] = MIN('Table'[Reported week]))) in {"high", "urgent"}))

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

Best Regards,

Dedmon Dai

[amitchandak]

@Anonymous , You need to have date/week table with following columns

Week Start date = 'Date'[Date]+-1*WEEKDAY('Date'[Date],2)+1
Week End date = 'Date'[Date]+ 7-1*WEEKDAY('Date'[Date],2)
Week Rank = RANKX(all('Date'),'Date'[Week Start date],,ASC,Dense)

or
Week Rank = RANKX(all('Date'),'Date'[Year Week],,ASC,Dense) //YYYYWW format

measure like

This Week = CALCULATE(Count('Table'[Order]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank]) && 'Table'[Priority] in {"urgent", "high"} ))
Created before Week = CALCULATE('Table'('Table'[Order]), FILTER(ALL('Date'),'Date'[Week Rank]<=max('Date'[Week Rank])))

Created in this week with not before

if(not(isblank([This Week])) && isblank( [Created before Week ]),1,0)

Power BI — Week on Week and WTD
https://medium.com/@amitchandak.1978/power-bi-wtd-questions-time-intelligence-4-5-98c30fab69d3
https://community.powerbi.com/t5/Community-Blog/Week-Is-Not-So-Weak-WTD-Last-WTD-and-This-Week-vs-Last-Week/ba-p/1051123
https://www.youtube.com/watch?v=pnAesWxYgJ8

Customer Retention Part 2: Period over Period Retention :https://community.powerbi.com/t5/Community-Blog/Customer-Retention-Part-2-Period-over-Period-Retention/ba-p/1377458