Cumulative percentage based on legend in another table

[MishiAb]

Hiya,

Looking for some help with cumulative percentages.

I have a mapping table to help with custom sorting my dates (E.g table 1).

My actual data sits in a separate table (example snippet below - table 2).

I am trying to do a line graph of the cumulative % based on the 'time to delivery' column to figure out how many items were delivered within a set timeframe. I can't use the date feature as the categories are custom.

E.g based on the data below:

20% were delivered within a week

40% were delivered within a month

100% were delivered within a year

Please can you help provide a measure that will do this?

Thank you!

Table 1:

Date type	Order
Week	1
Month	2
6 Month	3
Year	4

Table 2:

Date delivered	Time to delivery (days)	Speed of completion
21/03/22	7	Week
27/04/23	31	Month
27/04/23	278	Year
13/09/22	75	Year
13/03/23	21	Month

[v-yueyunzh-msft · Accepted solution]

Hi , @MishiAb 

According to your description, you want to get the  cumulative % based on the 'time to delivery' column to figure out how many items were delivered within a set timeframe.

This is my test data and my undersyand for your need:

We can create a measure like this :

Measure = DIVIDE( SWITCH( MAX('Table1'[Date type]) , 
"Week" , CALCULATE( COUNT('Table2'[Time to delivery]) ,'Table2'[Time to delivery]<=7) ,
"Month",CALCULATE( COUNT('Table2'[Time to delivery]) ,'Table2'[Time to delivery]<=31) ,
"6 Month",CALCULATE( COUNT('Table2'[Time to delivery]) ,'Table2'[Time to delivery]<=186),
"Year" ,CALCULATE( COUNT('Table2'[Time to delivery]) ,'Table2'[Time to delivery]<=366))  ,  COUNT('Table2'[Time to delivery]))

The result is as follows:

If this method does not meet your needs, you can provide us with your special sample data and the desired output sample data in the form of tables, so that we can better help you solve the problem. (You can also upload you sample .pbix [without sensitive data] to the OneDrive and share with the OneDrive link to me ! )

Thank you for your time and sharing, and thank you for your support and understanding of PowerBI! 

Best Regards,

Aniya Zhang

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