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Hi. I want to group customers based on their purchase interval. For example, there's column customer_id, purchase_date, item_id, total_price. I want to group it like:
Daily customers: Customer A, D
Weekly Customers: Customer Y, V, Z, L
Monthly customers: Customer C, J, K
Once in 2 months: Customer O, P, R T, G
Once in 6 months: Customer F
Yearly: Customer S, W
does anyone know how to make this happen?
Solved! Go to Solution.
Hi @Anonymous,
Suppose the customer table is named as 'Test1'. Please new a date dimention table as below. And establish a one to many relationship between two tables based on date column.
date table = ADDCOLUMNS(CALENDAR(DATE(2018,1,1),DATE(2018,12,31)),"weekNo",WEEKNUM([Date],2))
check = VAR countdaily = CALCULATE ( DISTINCTCOUNT ( 'date table'[Date] ), FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ), USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] ) ) VAR countweekly = CALCULATE ( DISTINCTCOUNT ( 'date table'[weekNo] ), FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ), USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] ) ) VAR countmonthly = CALCULATE ( DISTINCTCOUNT ( 'date table'[Date].[Month] ), FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ), USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] ) ) VAR countyearly = CALCULATE ( DISTINCTCOUNT ( 'date table'[Date].[Year] ), FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ), USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] ) ) VAR checkeveryNmonth = DATEDIFF ( CALCULATE ( MAX ( Test1[purchase_date] ), FILTER ( Test1, Test1[customer_id] = EARLIER ( Test1[customer_id] ) && Test1[purchase_date] < EARLIER ( Test1[purchase_date] ) ) ), [purchase_date], MONTH ) RETURN IF ( countdaily = DISTINCTCOUNT ( 'date table'[Date] ), "Daily", IF ( countweekly = DISTINCTCOUNT ( 'date table'[weekNo] ), "Weekly", IF ( countmonthly = DISTINCTCOUNT ( 'date table'[Date].[Month] ), "Monthly", IF ( countyearly = DISTINCTCOUNT ( 'date table'[Date].[Year] ), "Yearly", IF ( checkeveryNmonth = 2, "Once in 2 months", IF ( checkeveryNmonth = 6, "Once in 6 months", "N/A" ) ) ) ) ) )
Hi @Anonymous,
Suppose the customer table is named as 'Test1'. Please new a date dimention table as below. And establish a one to many relationship between two tables based on date column.
date table = ADDCOLUMNS(CALENDAR(DATE(2018,1,1),DATE(2018,12,31)),"weekNo",WEEKNUM([Date],2))
check = VAR countdaily = CALCULATE ( DISTINCTCOUNT ( 'date table'[Date] ), FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ), USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] ) ) VAR countweekly = CALCULATE ( DISTINCTCOUNT ( 'date table'[weekNo] ), FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ), USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] ) ) VAR countmonthly = CALCULATE ( DISTINCTCOUNT ( 'date table'[Date].[Month] ), FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ), USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] ) ) VAR countyearly = CALCULATE ( DISTINCTCOUNT ( 'date table'[Date].[Year] ), FILTER ( 'Test1', 'Test1'[customer_id] = EARLIER ( Test1[customer_id] ) ), USERELATIONSHIP ( 'date table'[Date], Test1[purchase_date] ) ) VAR checkeveryNmonth = DATEDIFF ( CALCULATE ( MAX ( Test1[purchase_date] ), FILTER ( Test1, Test1[customer_id] = EARLIER ( Test1[customer_id] ) && Test1[purchase_date] < EARLIER ( Test1[purchase_date] ) ) ), [purchase_date], MONTH ) RETURN IF ( countdaily = DISTINCTCOUNT ( 'date table'[Date] ), "Daily", IF ( countweekly = DISTINCTCOUNT ( 'date table'[weekNo] ), "Weekly", IF ( countmonthly = DISTINCTCOUNT ( 'date table'[Date].[Month] ), "Monthly", IF ( countyearly = DISTINCTCOUNT ( 'date table'[Date].[Year] ), "Yearly", IF ( checkeveryNmonth = 2, "Once in 2 months", IF ( checkeveryNmonth = 6, "Once in 6 months", "N/A" ) ) ) ) ) )
Thank you, it works perfectly!
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