Intersection of Customer product purchase (powerBI)
I need help with producing a count of the intersections between customers and which items they have purchased. For example, if there are 5 products, a customer can purchase any single product or any combination of the 5. Customers can also re-purchase a product at any date - this is where my problem arises as an end user wants to be able to see the intersections for any selected date range.
I have managed to come up with a solution which includes the use of parameters but this is not ideal as the end user does not have access to change any parameters of the report.
I'm open to any solution that does not involve parameters, ideally a slicer with dates would be the best solution
The fields I have on the table are customer_ID, date_ID, and product
Example Data
customer_id date_id product
1 9/11/2018 A
1 10/11/2018 A
1 10/11/2018 B
1 11/11/2018 C
1 11/11/2018 A
2 9/11/2018 C
2 10/11/2018 D
2 11/11/2018 E
2 11/11/2018 A
3 10/11/2018 A
3 10/11/2018 B
3 11/11/2018 A
3 11/11/2018 B
3 11/11/2018 B
4 10/11/2018 A
4 11/11/2018 A
5 9/11/2018 A
5 10/11/2018 B
5 10/11/2018 E
5 10/11/2018 D
5 11/11/2018 C
5 11/11/2018 A
6 9/11/2018 A
6 10/11/2018 A
6 11/11/2018 A
Possible output with different slicer selections
Any help at all would be greatly appreciated
powerbi dax powerbi-desktop
add a comment |
I need help with producing a count of the intersections between customers and which items they have purchased. For example, if there are 5 products, a customer can purchase any single product or any combination of the 5. Customers can also re-purchase a product at any date - this is where my problem arises as an end user wants to be able to see the intersections for any selected date range.
I have managed to come up with a solution which includes the use of parameters but this is not ideal as the end user does not have access to change any parameters of the report.
I'm open to any solution that does not involve parameters, ideally a slicer with dates would be the best solution
The fields I have on the table are customer_ID, date_ID, and product
Example Data
customer_id date_id product
1 9/11/2018 A
1 10/11/2018 A
1 10/11/2018 B
1 11/11/2018 C
1 11/11/2018 A
2 9/11/2018 C
2 10/11/2018 D
2 11/11/2018 E
2 11/11/2018 A
3 10/11/2018 A
3 10/11/2018 B
3 11/11/2018 A
3 11/11/2018 B
3 11/11/2018 B
4 10/11/2018 A
4 11/11/2018 A
5 9/11/2018 A
5 10/11/2018 B
5 10/11/2018 E
5 10/11/2018 D
5 11/11/2018 C
5 11/11/2018 A
6 9/11/2018 A
6 10/11/2018 A
6 11/11/2018 A
Possible output with different slicer selections
Any help at all would be greatly appreciated
powerbi dax powerbi-desktop
add a comment |
I need help with producing a count of the intersections between customers and which items they have purchased. For example, if there are 5 products, a customer can purchase any single product or any combination of the 5. Customers can also re-purchase a product at any date - this is where my problem arises as an end user wants to be able to see the intersections for any selected date range.
I have managed to come up with a solution which includes the use of parameters but this is not ideal as the end user does not have access to change any parameters of the report.
I'm open to any solution that does not involve parameters, ideally a slicer with dates would be the best solution
The fields I have on the table are customer_ID, date_ID, and product
Example Data
customer_id date_id product
1 9/11/2018 A
1 10/11/2018 A
1 10/11/2018 B
1 11/11/2018 C
1 11/11/2018 A
2 9/11/2018 C
2 10/11/2018 D
2 11/11/2018 E
2 11/11/2018 A
3 10/11/2018 A
3 10/11/2018 B
3 11/11/2018 A
3 11/11/2018 B
3 11/11/2018 B
4 10/11/2018 A
4 11/11/2018 A
5 9/11/2018 A
5 10/11/2018 B
5 10/11/2018 E
5 10/11/2018 D
5 11/11/2018 C
5 11/11/2018 A
6 9/11/2018 A
6 10/11/2018 A
6 11/11/2018 A
Possible output with different slicer selections
Any help at all would be greatly appreciated
powerbi dax powerbi-desktop
I need help with producing a count of the intersections between customers and which items they have purchased. For example, if there are 5 products, a customer can purchase any single product or any combination of the 5. Customers can also re-purchase a product at any date - this is where my problem arises as an end user wants to be able to see the intersections for any selected date range.
I have managed to come up with a solution which includes the use of parameters but this is not ideal as the end user does not have access to change any parameters of the report.
I'm open to any solution that does not involve parameters, ideally a slicer with dates would be the best solution
The fields I have on the table are customer_ID, date_ID, and product
Example Data
customer_id date_id product
1 9/11/2018 A
1 10/11/2018 A
1 10/11/2018 B
1 11/11/2018 C
1 11/11/2018 A
2 9/11/2018 C
2 10/11/2018 D
2 11/11/2018 E
2 11/11/2018 A
3 10/11/2018 A
3 10/11/2018 B
3 11/11/2018 A
3 11/11/2018 B
3 11/11/2018 B
4 10/11/2018 A
4 11/11/2018 A
5 9/11/2018 A
5 10/11/2018 B
5 10/11/2018 E
5 10/11/2018 D
5 11/11/2018 C
5 11/11/2018 A
6 9/11/2018 A
6 10/11/2018 A
6 11/11/2018 A
Possible output with different slicer selections
Any help at all would be greatly appreciated
powerbi dax powerbi-desktop
powerbi dax powerbi-desktop
edited Nov 13 at 17:59
Alexis Olson
12.4k21633
12.4k21633
asked Nov 13 at 13:36
Jonathan Toft
83
83
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
This is pretty tricky since I can't think of a way to use the values of a dynamically calculated table as a field in a visual. (You can create calculated tables, but those aren't responsive to slicers. You can also create dynamically calculated tables inside of a measure, but measures don't return tables, just single values.)
The only way I can think of to do this requires creating a table for every possible product combination. However, if you have N products, then this table has 2N rows and that blows up fast.
Here's a calculated table that will output all the combinations:
Table2 =
VAR N = DISTINCTCOUNT(Table1[product])
VAR Products = SUMMARIZE(Table1,
Table1[product],
"Rank",
RANKX(ALL(Table1),
Table1[product],
MAX(Table1[product]),
ASC,
Dense
)
)
VAR Bits = SELECTCOLUMNS(GENERATESERIES(1, N), "Bit", [Value])
VAR BinaryString =
ADDCOLUMNS(
GENERATESERIES(1, 2^N),
"Binary",
CONCATENATEX(
Bits,
MOD( TRUNC( [Value] / POWER(2, [Bit]-1) ), 2)
,,[Bit]
,DESC
)
)
RETURN
ADDCOLUMNS(
BinaryString,
"Combination",
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), "")
)
Then add a calculated column to get the column delimited version:
Delimited =
VAR Length = LEN(Table2[Combination])
RETURN
CONCATENATEX(
GENERATESERIES(1,Length),
MID(Table2[Combination], [Value], 1),
","
)
If you put Delimited
the Rows section on a matrix visual and the following measure in the Values section:
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
RETURN SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
And filter out any 0 customer values, you should get something like this:
So yeah... not a great solution, especially when N gets big, but maybe better than nothing?
Edit:
In order to work for longer product names, let's use a delimiter in the Combination
concatenation:
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), ",")
(Note the ""
to ","
change at the end.)
And then rewrite the Delimited
calculated column to remove excess commas.
Delimited =
VAR RemoveMultipleCommas =
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(Table2[Combination], ",,", ","),
",,", ","),
",,", ","),
",,", ",")
VAR LeftComma = (LEFT(Table2[Combination]) = ",")
VAR RightComma = (RIGHT(Table2[Combination]) = ",")
RETURN
IF(RemoveMultipleCommas <> ",",
MID(RemoveMultipleCommas,
1 + LeftComma,
LEN(RemoveMultipleCommas) - RightComma - LeftComma
), "")
Finally, let's modify the customers
measure a bit so it can subtotal.
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
VAR CustomerCount = SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
VAR Total = IF(ISFILTERED(Table2[Delimited]), CustomerCount, COUNTROWS(Summary))
RETURN IF(Total = 0, BLANK(), Total)
The Total
variable gives the total customer count for the total. Note that I've also set zeros to return as blank so that you don't need to filter out zeros (it will automatically hide those rows).
That works a treat, thank you! For readability, if I wanted to edit it slightly to have the product names rather than a single letter for each product, would this be easy to do? Also, the total in the matrix shows the MAX value and I can't find a way of editing the measure so that it shows the SUM instead?
– Jonathan Toft
Nov 14 at 11:15
Please see my edit.
– Alexis Olson
Nov 14 at 16:21
Thank you so much! I just had to add an order expression into the concantenatex in the measure but it now works perfectly!
– Jonathan Toft
Nov 15 at 9:12
add a comment |
You can also try this measure to calculate the result.
[Count Of Customers] :=
VAR var_products_selection_count = DISTINCTCOUNT ( Sales[product] )
VAR var_customers = VALUES ( Sales[customer_id] )
VAR var_customers_products_count =
ADDCOLUMNS(
var_customers,
"products_count",
VAR var_products_count =
COUNTROWS (
FILTER (
CALCULATETABLE ( VALUES ( Sales[product] ) ),
CONTAINS (
Sales,
Sales[product],
Sales[product]
)
)
)
RETURN var_products_count
)
RETURN
COUNTROWS (
FILTER (
var_customers_products_count,
[products_count] = var_products_selection_count
)
)
add a comment |
I think I've found a better solution/workaround that doesn't require precomputing all possible combinations. The key is to use a rank/index as a base column and then built off of that.
Since the customer_id
is already nicely indexed starting from 1 with no gaps, in this case, I will use that, but if it weren't, then you'd want to create an index column to use instead. Note that there cannot be more distinct product combinations within a given filter context than there are customers since each customer only has a single combination.
For each index/rank we want to find the product combination that is associated with it and the number of customers for that combination.
ProductCombo =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductSummary =
SUMMARIZE (
PerCustomer,
[ProductList],
"Customers",
DISTINCTCOUNT ( Table1[customer_id] )
)
VAR Ranked =
ADDCOLUMNS (
ProductSummary,
"Rank",
RANKX (
ProductSummary,
[Customers] + (1 - 1 / RANKX ( ProductSummary, [ProductList] ) )
)
)
VAR CurrID =
SELECTEDVALUE ( Table1[customer_id] )
RETURN
MAXX ( FILTER ( Ranked, [Rank] = CurrID ), [ProductList] )
What this does is first create a summary table that computes the product list for each customer.
Then you take that table and summarize over the distinct product lists and counting the number of customers that have each particular combination.
Then I add a ranking column to the previous table ordering first by the number of customers and tiebreaking using a dictionary order of the product list.
Finally, I extract the product list from this table where the rank matches the index/rank of the current row.
You could do a nearly identical measure for the customer count, but here's the measure I used that's a bit simpler and handles 0 values and the total:
Customers =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductCombo = [ProductCombo]
VAR CustomerCount =
SUMX ( PerCustomer, IF ( [ProductList] = ProductCombo, 1, 0 ) )
RETURN
IF (
ISFILTERED ( Table1[customer_id] ),
IF ( CustomerCount = 0, BLANK (), CustomerCount ),
DISTINCTCOUNT ( Table1[customer_id] )
)
The result looks like this
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
This is pretty tricky since I can't think of a way to use the values of a dynamically calculated table as a field in a visual. (You can create calculated tables, but those aren't responsive to slicers. You can also create dynamically calculated tables inside of a measure, but measures don't return tables, just single values.)
The only way I can think of to do this requires creating a table for every possible product combination. However, if you have N products, then this table has 2N rows and that blows up fast.
Here's a calculated table that will output all the combinations:
Table2 =
VAR N = DISTINCTCOUNT(Table1[product])
VAR Products = SUMMARIZE(Table1,
Table1[product],
"Rank",
RANKX(ALL(Table1),
Table1[product],
MAX(Table1[product]),
ASC,
Dense
)
)
VAR Bits = SELECTCOLUMNS(GENERATESERIES(1, N), "Bit", [Value])
VAR BinaryString =
ADDCOLUMNS(
GENERATESERIES(1, 2^N),
"Binary",
CONCATENATEX(
Bits,
MOD( TRUNC( [Value] / POWER(2, [Bit]-1) ), 2)
,,[Bit]
,DESC
)
)
RETURN
ADDCOLUMNS(
BinaryString,
"Combination",
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), "")
)
Then add a calculated column to get the column delimited version:
Delimited =
VAR Length = LEN(Table2[Combination])
RETURN
CONCATENATEX(
GENERATESERIES(1,Length),
MID(Table2[Combination], [Value], 1),
","
)
If you put Delimited
the Rows section on a matrix visual and the following measure in the Values section:
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
RETURN SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
And filter out any 0 customer values, you should get something like this:
So yeah... not a great solution, especially when N gets big, but maybe better than nothing?
Edit:
In order to work for longer product names, let's use a delimiter in the Combination
concatenation:
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), ",")
(Note the ""
to ","
change at the end.)
And then rewrite the Delimited
calculated column to remove excess commas.
Delimited =
VAR RemoveMultipleCommas =
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(Table2[Combination], ",,", ","),
",,", ","),
",,", ","),
",,", ",")
VAR LeftComma = (LEFT(Table2[Combination]) = ",")
VAR RightComma = (RIGHT(Table2[Combination]) = ",")
RETURN
IF(RemoveMultipleCommas <> ",",
MID(RemoveMultipleCommas,
1 + LeftComma,
LEN(RemoveMultipleCommas) - RightComma - LeftComma
), "")
Finally, let's modify the customers
measure a bit so it can subtotal.
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
VAR CustomerCount = SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
VAR Total = IF(ISFILTERED(Table2[Delimited]), CustomerCount, COUNTROWS(Summary))
RETURN IF(Total = 0, BLANK(), Total)
The Total
variable gives the total customer count for the total. Note that I've also set zeros to return as blank so that you don't need to filter out zeros (it will automatically hide those rows).
That works a treat, thank you! For readability, if I wanted to edit it slightly to have the product names rather than a single letter for each product, would this be easy to do? Also, the total in the matrix shows the MAX value and I can't find a way of editing the measure so that it shows the SUM instead?
– Jonathan Toft
Nov 14 at 11:15
Please see my edit.
– Alexis Olson
Nov 14 at 16:21
Thank you so much! I just had to add an order expression into the concantenatex in the measure but it now works perfectly!
– Jonathan Toft
Nov 15 at 9:12
add a comment |
This is pretty tricky since I can't think of a way to use the values of a dynamically calculated table as a field in a visual. (You can create calculated tables, but those aren't responsive to slicers. You can also create dynamically calculated tables inside of a measure, but measures don't return tables, just single values.)
The only way I can think of to do this requires creating a table for every possible product combination. However, if you have N products, then this table has 2N rows and that blows up fast.
Here's a calculated table that will output all the combinations:
Table2 =
VAR N = DISTINCTCOUNT(Table1[product])
VAR Products = SUMMARIZE(Table1,
Table1[product],
"Rank",
RANKX(ALL(Table1),
Table1[product],
MAX(Table1[product]),
ASC,
Dense
)
)
VAR Bits = SELECTCOLUMNS(GENERATESERIES(1, N), "Bit", [Value])
VAR BinaryString =
ADDCOLUMNS(
GENERATESERIES(1, 2^N),
"Binary",
CONCATENATEX(
Bits,
MOD( TRUNC( [Value] / POWER(2, [Bit]-1) ), 2)
,,[Bit]
,DESC
)
)
RETURN
ADDCOLUMNS(
BinaryString,
"Combination",
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), "")
)
Then add a calculated column to get the column delimited version:
Delimited =
VAR Length = LEN(Table2[Combination])
RETURN
CONCATENATEX(
GENERATESERIES(1,Length),
MID(Table2[Combination], [Value], 1),
","
)
If you put Delimited
the Rows section on a matrix visual and the following measure in the Values section:
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
RETURN SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
And filter out any 0 customer values, you should get something like this:
So yeah... not a great solution, especially when N gets big, but maybe better than nothing?
Edit:
In order to work for longer product names, let's use a delimiter in the Combination
concatenation:
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), ",")
(Note the ""
to ","
change at the end.)
And then rewrite the Delimited
calculated column to remove excess commas.
Delimited =
VAR RemoveMultipleCommas =
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(Table2[Combination], ",,", ","),
",,", ","),
",,", ","),
",,", ",")
VAR LeftComma = (LEFT(Table2[Combination]) = ",")
VAR RightComma = (RIGHT(Table2[Combination]) = ",")
RETURN
IF(RemoveMultipleCommas <> ",",
MID(RemoveMultipleCommas,
1 + LeftComma,
LEN(RemoveMultipleCommas) - RightComma - LeftComma
), "")
Finally, let's modify the customers
measure a bit so it can subtotal.
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
VAR CustomerCount = SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
VAR Total = IF(ISFILTERED(Table2[Delimited]), CustomerCount, COUNTROWS(Summary))
RETURN IF(Total = 0, BLANK(), Total)
The Total
variable gives the total customer count for the total. Note that I've also set zeros to return as blank so that you don't need to filter out zeros (it will automatically hide those rows).
That works a treat, thank you! For readability, if I wanted to edit it slightly to have the product names rather than a single letter for each product, would this be easy to do? Also, the total in the matrix shows the MAX value and I can't find a way of editing the measure so that it shows the SUM instead?
– Jonathan Toft
Nov 14 at 11:15
Please see my edit.
– Alexis Olson
Nov 14 at 16:21
Thank you so much! I just had to add an order expression into the concantenatex in the measure but it now works perfectly!
– Jonathan Toft
Nov 15 at 9:12
add a comment |
This is pretty tricky since I can't think of a way to use the values of a dynamically calculated table as a field in a visual. (You can create calculated tables, but those aren't responsive to slicers. You can also create dynamically calculated tables inside of a measure, but measures don't return tables, just single values.)
The only way I can think of to do this requires creating a table for every possible product combination. However, if you have N products, then this table has 2N rows and that blows up fast.
Here's a calculated table that will output all the combinations:
Table2 =
VAR N = DISTINCTCOUNT(Table1[product])
VAR Products = SUMMARIZE(Table1,
Table1[product],
"Rank",
RANKX(ALL(Table1),
Table1[product],
MAX(Table1[product]),
ASC,
Dense
)
)
VAR Bits = SELECTCOLUMNS(GENERATESERIES(1, N), "Bit", [Value])
VAR BinaryString =
ADDCOLUMNS(
GENERATESERIES(1, 2^N),
"Binary",
CONCATENATEX(
Bits,
MOD( TRUNC( [Value] / POWER(2, [Bit]-1) ), 2)
,,[Bit]
,DESC
)
)
RETURN
ADDCOLUMNS(
BinaryString,
"Combination",
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), "")
)
Then add a calculated column to get the column delimited version:
Delimited =
VAR Length = LEN(Table2[Combination])
RETURN
CONCATENATEX(
GENERATESERIES(1,Length),
MID(Table2[Combination], [Value], 1),
","
)
If you put Delimited
the Rows section on a matrix visual and the following measure in the Values section:
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
RETURN SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
And filter out any 0 customer values, you should get something like this:
So yeah... not a great solution, especially when N gets big, but maybe better than nothing?
Edit:
In order to work for longer product names, let's use a delimiter in the Combination
concatenation:
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), ",")
(Note the ""
to ","
change at the end.)
And then rewrite the Delimited
calculated column to remove excess commas.
Delimited =
VAR RemoveMultipleCommas =
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(Table2[Combination], ",,", ","),
",,", ","),
",,", ","),
",,", ",")
VAR LeftComma = (LEFT(Table2[Combination]) = ",")
VAR RightComma = (RIGHT(Table2[Combination]) = ",")
RETURN
IF(RemoveMultipleCommas <> ",",
MID(RemoveMultipleCommas,
1 + LeftComma,
LEN(RemoveMultipleCommas) - RightComma - LeftComma
), "")
Finally, let's modify the customers
measure a bit so it can subtotal.
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
VAR CustomerCount = SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
VAR Total = IF(ISFILTERED(Table2[Delimited]), CustomerCount, COUNTROWS(Summary))
RETURN IF(Total = 0, BLANK(), Total)
The Total
variable gives the total customer count for the total. Note that I've also set zeros to return as blank so that you don't need to filter out zeros (it will automatically hide those rows).
This is pretty tricky since I can't think of a way to use the values of a dynamically calculated table as a field in a visual. (You can create calculated tables, but those aren't responsive to slicers. You can also create dynamically calculated tables inside of a measure, but measures don't return tables, just single values.)
The only way I can think of to do this requires creating a table for every possible product combination. However, if you have N products, then this table has 2N rows and that blows up fast.
Here's a calculated table that will output all the combinations:
Table2 =
VAR N = DISTINCTCOUNT(Table1[product])
VAR Products = SUMMARIZE(Table1,
Table1[product],
"Rank",
RANKX(ALL(Table1),
Table1[product],
MAX(Table1[product]),
ASC,
Dense
)
)
VAR Bits = SELECTCOLUMNS(GENERATESERIES(1, N), "Bit", [Value])
VAR BinaryString =
ADDCOLUMNS(
GENERATESERIES(1, 2^N),
"Binary",
CONCATENATEX(
Bits,
MOD( TRUNC( [Value] / POWER(2, [Bit]-1) ), 2)
,,[Bit]
,DESC
)
)
RETURN
ADDCOLUMNS(
BinaryString,
"Combination",
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), "")
)
Then add a calculated column to get the column delimited version:
Delimited =
VAR Length = LEN(Table2[Combination])
RETURN
CONCATENATEX(
GENERATESERIES(1,Length),
MID(Table2[Combination], [Value], 1),
","
)
If you put Delimited
the Rows section on a matrix visual and the following measure in the Values section:
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
RETURN SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
And filter out any 0 customer values, you should get something like this:
So yeah... not a great solution, especially when N gets big, but maybe better than nothing?
Edit:
In order to work for longer product names, let's use a delimiter in the Combination
concatenation:
CONCATENATEX(Products, IF(MID([Binary],[Rank],1) = "1", [product], ""), ",")
(Note the ""
to ","
change at the end.)
And then rewrite the Delimited
calculated column to remove excess commas.
Delimited =
VAR RemoveMultipleCommas =
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(
SUBSTITUTE(Table2[Combination], ",,", ","),
",,", ","),
",,", ","),
",,", ",")
VAR LeftComma = (LEFT(Table2[Combination]) = ",")
VAR RightComma = (RIGHT(Table2[Combination]) = ",")
RETURN
IF(RemoveMultipleCommas <> ",",
MID(RemoveMultipleCommas,
1 + LeftComma,
LEN(RemoveMultipleCommas) - RightComma - LeftComma
), "")
Finally, let's modify the customers
measure a bit so it can subtotal.
customers =
VAR Summary = SUMMARIZE(Table1,
Table1[customer_id],
"ProductList",
CONCATENATEX(VALUES(Table1[product]), Table1[product], ","))
VAR CustomerCount = SUMX(Summary, IF([ProductList] = MAX(Table2[Delimited]), 1, 0))
VAR Total = IF(ISFILTERED(Table2[Delimited]), CustomerCount, COUNTROWS(Summary))
RETURN IF(Total = 0, BLANK(), Total)
The Total
variable gives the total customer count for the total. Note that I've also set zeros to return as blank so that you don't need to filter out zeros (it will automatically hide those rows).
edited Nov 14 at 16:20
answered Nov 13 at 19:12
Alexis Olson
12.4k21633
12.4k21633
That works a treat, thank you! For readability, if I wanted to edit it slightly to have the product names rather than a single letter for each product, would this be easy to do? Also, the total in the matrix shows the MAX value and I can't find a way of editing the measure so that it shows the SUM instead?
– Jonathan Toft
Nov 14 at 11:15
Please see my edit.
– Alexis Olson
Nov 14 at 16:21
Thank you so much! I just had to add an order expression into the concantenatex in the measure but it now works perfectly!
– Jonathan Toft
Nov 15 at 9:12
add a comment |
That works a treat, thank you! For readability, if I wanted to edit it slightly to have the product names rather than a single letter for each product, would this be easy to do? Also, the total in the matrix shows the MAX value and I can't find a way of editing the measure so that it shows the SUM instead?
– Jonathan Toft
Nov 14 at 11:15
Please see my edit.
– Alexis Olson
Nov 14 at 16:21
Thank you so much! I just had to add an order expression into the concantenatex in the measure but it now works perfectly!
– Jonathan Toft
Nov 15 at 9:12
That works a treat, thank you! For readability, if I wanted to edit it slightly to have the product names rather than a single letter for each product, would this be easy to do? Also, the total in the matrix shows the MAX value and I can't find a way of editing the measure so that it shows the SUM instead?
– Jonathan Toft
Nov 14 at 11:15
That works a treat, thank you! For readability, if I wanted to edit it slightly to have the product names rather than a single letter for each product, would this be easy to do? Also, the total in the matrix shows the MAX value and I can't find a way of editing the measure so that it shows the SUM instead?
– Jonathan Toft
Nov 14 at 11:15
Please see my edit.
– Alexis Olson
Nov 14 at 16:21
Please see my edit.
– Alexis Olson
Nov 14 at 16:21
Thank you so much! I just had to add an order expression into the concantenatex in the measure but it now works perfectly!
– Jonathan Toft
Nov 15 at 9:12
Thank you so much! I just had to add an order expression into the concantenatex in the measure but it now works perfectly!
– Jonathan Toft
Nov 15 at 9:12
add a comment |
You can also try this measure to calculate the result.
[Count Of Customers] :=
VAR var_products_selection_count = DISTINCTCOUNT ( Sales[product] )
VAR var_customers = VALUES ( Sales[customer_id] )
VAR var_customers_products_count =
ADDCOLUMNS(
var_customers,
"products_count",
VAR var_products_count =
COUNTROWS (
FILTER (
CALCULATETABLE ( VALUES ( Sales[product] ) ),
CONTAINS (
Sales,
Sales[product],
Sales[product]
)
)
)
RETURN var_products_count
)
RETURN
COUNTROWS (
FILTER (
var_customers_products_count,
[products_count] = var_products_selection_count
)
)
add a comment |
You can also try this measure to calculate the result.
[Count Of Customers] :=
VAR var_products_selection_count = DISTINCTCOUNT ( Sales[product] )
VAR var_customers = VALUES ( Sales[customer_id] )
VAR var_customers_products_count =
ADDCOLUMNS(
var_customers,
"products_count",
VAR var_products_count =
COUNTROWS (
FILTER (
CALCULATETABLE ( VALUES ( Sales[product] ) ),
CONTAINS (
Sales,
Sales[product],
Sales[product]
)
)
)
RETURN var_products_count
)
RETURN
COUNTROWS (
FILTER (
var_customers_products_count,
[products_count] = var_products_selection_count
)
)
add a comment |
You can also try this measure to calculate the result.
[Count Of Customers] :=
VAR var_products_selection_count = DISTINCTCOUNT ( Sales[product] )
VAR var_customers = VALUES ( Sales[customer_id] )
VAR var_customers_products_count =
ADDCOLUMNS(
var_customers,
"products_count",
VAR var_products_count =
COUNTROWS (
FILTER (
CALCULATETABLE ( VALUES ( Sales[product] ) ),
CONTAINS (
Sales,
Sales[product],
Sales[product]
)
)
)
RETURN var_products_count
)
RETURN
COUNTROWS (
FILTER (
var_customers_products_count,
[products_count] = var_products_selection_count
)
)
You can also try this measure to calculate the result.
[Count Of Customers] :=
VAR var_products_selection_count = DISTINCTCOUNT ( Sales[product] )
VAR var_customers = VALUES ( Sales[customer_id] )
VAR var_customers_products_count =
ADDCOLUMNS(
var_customers,
"products_count",
VAR var_products_count =
COUNTROWS (
FILTER (
CALCULATETABLE ( VALUES ( Sales[product] ) ),
CONTAINS (
Sales,
Sales[product],
Sales[product]
)
)
)
RETURN var_products_count
)
RETURN
COUNTROWS (
FILTER (
var_customers_products_count,
[products_count] = var_products_selection_count
)
)
answered Nov 15 at 2:24
Marcus
1
1
add a comment |
add a comment |
I think I've found a better solution/workaround that doesn't require precomputing all possible combinations. The key is to use a rank/index as a base column and then built off of that.
Since the customer_id
is already nicely indexed starting from 1 with no gaps, in this case, I will use that, but if it weren't, then you'd want to create an index column to use instead. Note that there cannot be more distinct product combinations within a given filter context than there are customers since each customer only has a single combination.
For each index/rank we want to find the product combination that is associated with it and the number of customers for that combination.
ProductCombo =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductSummary =
SUMMARIZE (
PerCustomer,
[ProductList],
"Customers",
DISTINCTCOUNT ( Table1[customer_id] )
)
VAR Ranked =
ADDCOLUMNS (
ProductSummary,
"Rank",
RANKX (
ProductSummary,
[Customers] + (1 - 1 / RANKX ( ProductSummary, [ProductList] ) )
)
)
VAR CurrID =
SELECTEDVALUE ( Table1[customer_id] )
RETURN
MAXX ( FILTER ( Ranked, [Rank] = CurrID ), [ProductList] )
What this does is first create a summary table that computes the product list for each customer.
Then you take that table and summarize over the distinct product lists and counting the number of customers that have each particular combination.
Then I add a ranking column to the previous table ordering first by the number of customers and tiebreaking using a dictionary order of the product list.
Finally, I extract the product list from this table where the rank matches the index/rank of the current row.
You could do a nearly identical measure for the customer count, but here's the measure I used that's a bit simpler and handles 0 values and the total:
Customers =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductCombo = [ProductCombo]
VAR CustomerCount =
SUMX ( PerCustomer, IF ( [ProductList] = ProductCombo, 1, 0 ) )
RETURN
IF (
ISFILTERED ( Table1[customer_id] ),
IF ( CustomerCount = 0, BLANK (), CustomerCount ),
DISTINCTCOUNT ( Table1[customer_id] )
)
The result looks like this
add a comment |
I think I've found a better solution/workaround that doesn't require precomputing all possible combinations. The key is to use a rank/index as a base column and then built off of that.
Since the customer_id
is already nicely indexed starting from 1 with no gaps, in this case, I will use that, but if it weren't, then you'd want to create an index column to use instead. Note that there cannot be more distinct product combinations within a given filter context than there are customers since each customer only has a single combination.
For each index/rank we want to find the product combination that is associated with it and the number of customers for that combination.
ProductCombo =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductSummary =
SUMMARIZE (
PerCustomer,
[ProductList],
"Customers",
DISTINCTCOUNT ( Table1[customer_id] )
)
VAR Ranked =
ADDCOLUMNS (
ProductSummary,
"Rank",
RANKX (
ProductSummary,
[Customers] + (1 - 1 / RANKX ( ProductSummary, [ProductList] ) )
)
)
VAR CurrID =
SELECTEDVALUE ( Table1[customer_id] )
RETURN
MAXX ( FILTER ( Ranked, [Rank] = CurrID ), [ProductList] )
What this does is first create a summary table that computes the product list for each customer.
Then you take that table and summarize over the distinct product lists and counting the number of customers that have each particular combination.
Then I add a ranking column to the previous table ordering first by the number of customers and tiebreaking using a dictionary order of the product list.
Finally, I extract the product list from this table where the rank matches the index/rank of the current row.
You could do a nearly identical measure for the customer count, but here's the measure I used that's a bit simpler and handles 0 values and the total:
Customers =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductCombo = [ProductCombo]
VAR CustomerCount =
SUMX ( PerCustomer, IF ( [ProductList] = ProductCombo, 1, 0 ) )
RETURN
IF (
ISFILTERED ( Table1[customer_id] ),
IF ( CustomerCount = 0, BLANK (), CustomerCount ),
DISTINCTCOUNT ( Table1[customer_id] )
)
The result looks like this
add a comment |
I think I've found a better solution/workaround that doesn't require precomputing all possible combinations. The key is to use a rank/index as a base column and then built off of that.
Since the customer_id
is already nicely indexed starting from 1 with no gaps, in this case, I will use that, but if it weren't, then you'd want to create an index column to use instead. Note that there cannot be more distinct product combinations within a given filter context than there are customers since each customer only has a single combination.
For each index/rank we want to find the product combination that is associated with it and the number of customers for that combination.
ProductCombo =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductSummary =
SUMMARIZE (
PerCustomer,
[ProductList],
"Customers",
DISTINCTCOUNT ( Table1[customer_id] )
)
VAR Ranked =
ADDCOLUMNS (
ProductSummary,
"Rank",
RANKX (
ProductSummary,
[Customers] + (1 - 1 / RANKX ( ProductSummary, [ProductList] ) )
)
)
VAR CurrID =
SELECTEDVALUE ( Table1[customer_id] )
RETURN
MAXX ( FILTER ( Ranked, [Rank] = CurrID ), [ProductList] )
What this does is first create a summary table that computes the product list for each customer.
Then you take that table and summarize over the distinct product lists and counting the number of customers that have each particular combination.
Then I add a ranking column to the previous table ordering first by the number of customers and tiebreaking using a dictionary order of the product list.
Finally, I extract the product list from this table where the rank matches the index/rank of the current row.
You could do a nearly identical measure for the customer count, but here's the measure I used that's a bit simpler and handles 0 values and the total:
Customers =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductCombo = [ProductCombo]
VAR CustomerCount =
SUMX ( PerCustomer, IF ( [ProductList] = ProductCombo, 1, 0 ) )
RETURN
IF (
ISFILTERED ( Table1[customer_id] ),
IF ( CustomerCount = 0, BLANK (), CustomerCount ),
DISTINCTCOUNT ( Table1[customer_id] )
)
The result looks like this
I think I've found a better solution/workaround that doesn't require precomputing all possible combinations. The key is to use a rank/index as a base column and then built off of that.
Since the customer_id
is already nicely indexed starting from 1 with no gaps, in this case, I will use that, but if it weren't, then you'd want to create an index column to use instead. Note that there cannot be more distinct product combinations within a given filter context than there are customers since each customer only has a single combination.
For each index/rank we want to find the product combination that is associated with it and the number of customers for that combination.
ProductCombo =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductSummary =
SUMMARIZE (
PerCustomer,
[ProductList],
"Customers",
DISTINCTCOUNT ( Table1[customer_id] )
)
VAR Ranked =
ADDCOLUMNS (
ProductSummary,
"Rank",
RANKX (
ProductSummary,
[Customers] + (1 - 1 / RANKX ( ProductSummary, [ProductList] ) )
)
)
VAR CurrID =
SELECTEDVALUE ( Table1[customer_id] )
RETURN
MAXX ( FILTER ( Ranked, [Rank] = CurrID ), [ProductList] )
What this does is first create a summary table that computes the product list for each customer.
Then you take that table and summarize over the distinct product lists and counting the number of customers that have each particular combination.
Then I add a ranking column to the previous table ordering first by the number of customers and tiebreaking using a dictionary order of the product list.
Finally, I extract the product list from this table where the rank matches the index/rank of the current row.
You could do a nearly identical measure for the customer count, but here's the measure I used that's a bit simpler and handles 0 values and the total:
Customers =
VAR PerCustomer =
SUMMARIZE (
ALLSELECTED ( Table1 ),
Table1[customer_id],
"ProductList",
CONCATENATEX ( VALUES ( Table1[product] ), Table1[product], "," )
)
VAR ProductCombo = [ProductCombo]
VAR CustomerCount =
SUMX ( PerCustomer, IF ( [ProductList] = ProductCombo, 1, 0 ) )
RETURN
IF (
ISFILTERED ( Table1[customer_id] ),
IF ( CustomerCount = 0, BLANK (), CustomerCount ),
DISTINCTCOUNT ( Table1[customer_id] )
)
The result looks like this
answered yesterday
Alexis Olson
12.4k21633
12.4k21633
add a comment |
add a comment |
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