We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hello everyone, I would appreciate your assistance in understanding how to set up a measure that allows calculating the revenue difference per customer and order date for each recorded date in Power BI.
To explain further, if we divide customers by invoice date and track their status at precise times, how can we calculate the difference between one observation and the next?
Thank you all for your support! 😊
Solved! Go to Solution.
Hello, I've got the expected result in a matrix using one measure. In that matrix, customer, date, and hour are used as row hierarchy, and in the column of total income we can see the income value at each hour.
M query used to build this sample data:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wci4tLsnPTS1SMFTSUTKy1Dcw1jcyMDIBcgzMrAwMgLShAZCK1cGn1NAEotTSlKBKC6ihRtiUGhjqG5ig22+CzXoUlTDrTQmrhFpvDlIZCwA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Customer = _t, #"Delivery Date" = _t, Rel.Date = _t, #"Total Income" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Customer", type text}, {"Delivery Date", type text}, {"Rel.Date", type time}, {"Total Income", Int64.Type}})
in
#"Changed Type"
Measure:
Difference =
VAR __CURRENT_ROW_DELIVERY_HOUR = SELECTEDVALUE('Table'[Rel.Date])
VAR __PREVIOUS_HOUR = CALCULATE(MAX('Table'[Rel.Date]), ALLEXCEPT('Table', 'Table'[Customer], 'Table'[Delivery Date]), 'Table'[Rel.Date] < __CURRENT_ROW_DELIVERY_HOUR)
VAR __CURRENT_ROW_INCOME = SUM('Table'[Total Income])
VAR __PREVIOUS_ROW_INCOME = CALCULATE(SUM('Table'[Total Income]), 'Table'[Rel.Date] = __PREVIOUS_HOUR)
VAR DIFFERENCE = IF(ISBLANK(__PREVIOUS_ROW_INCOME), BLANK(), __CURRENT_ROW_INCOME - __PREVIOUS_ROW_INCOME)
RETURN DIFFERENCEIn summary:
If this answer helps you, please give a kudo and mark it as solution 🙂.
Hello, I've got the expected result in a matrix using one measure. In that matrix, customer, date, and hour are used as row hierarchy, and in the column of total income we can see the income value at each hour.
M query used to build this sample data:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wci4tLsnPTS1SMFTSUTKy1Dcw1jcyMDIBcgzMrAwMgLShAZCK1cGn1NAEotTSlKBKC6ihRtiUGhjqG5ig22+CzXoUlTDrTQmrhFpvDlIZCwA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Customer = _t, #"Delivery Date" = _t, Rel.Date = _t, #"Total Income" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Customer", type text}, {"Delivery Date", type text}, {"Rel.Date", type time}, {"Total Income", Int64.Type}})
in
#"Changed Type"
Measure:
Difference =
VAR __CURRENT_ROW_DELIVERY_HOUR = SELECTEDVALUE('Table'[Rel.Date])
VAR __PREVIOUS_HOUR = CALCULATE(MAX('Table'[Rel.Date]), ALLEXCEPT('Table', 'Table'[Customer], 'Table'[Delivery Date]), 'Table'[Rel.Date] < __CURRENT_ROW_DELIVERY_HOUR)
VAR __CURRENT_ROW_INCOME = SUM('Table'[Total Income])
VAR __PREVIOUS_ROW_INCOME = CALCULATE(SUM('Table'[Total Income]), 'Table'[Rel.Date] = __PREVIOUS_HOUR)
VAR DIFFERENCE = IF(ISBLANK(__PREVIOUS_ROW_INCOME), BLANK(), __CURRENT_ROW_INCOME - __PREVIOUS_ROW_INCOME)
RETURN DIFFERENCEIn summary:
If this answer helps you, please give a kudo and mark it as solution 🙂.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 56 | |
| 40 | |
| 36 | |
| 18 | |
| 18 |
| User | Count |
|---|---|
| 70 | |
| 67 | |
| 38 | |
| 34 | |
| 23 |