Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hello,
I am trying a develop a graph using the below data
| OrderNo | OrdDate | CallType | CallDate | CallID |
| A123 | 12/20/2022 | Initial | 1/2/2023 | C1234 |
| A123 | 12/20/2022 | Initial | 1/2/2023 | C1235 |
| A123 | 12/20/2022 | Service | 1/5/2023 | C1236 |
| A123 | 12/20/2022 | Service | 1/7/2023 | C1237 |
| A123 | 12/20/2022 | Service | 1/8/2023 | C1238 |
| A123 | 12/20/2022 | Shipping | 1/8/2023 | C1239 |
| A123 | 12/20/2022 | Shipping | 1/8/2023 | C1240 |
| A123 | 12/20/2022 | Service | 1/9/2023 | C1241 |
| A123 | 12/20/2022 | Service | 1/10/2023 | C1242 |
| A123 | 12/20/2022 | Service | 1/11/2023 | C1243 |
| A123 | 12/20/2022 | Service | 1/12/2023 | C1244 |
| B123 | 11/15/2022 | Initial | 1/3/2023 | C1245 |
| C123 | 11/20/2022 | Initial | 1/5/2023 | C1246 |
| D123 | 11/25/2022 | Initial | 1/5/2023 | C1247 |
| D123 | 11/25/2022 | Service | 1/10/2023 | C1248 |
| D123 | 11/25/2022 | Shipping | 1/10/2023 | C1249 |
| E123 | 1/2/2023 | Initial | 1/2/2023 | C1250 |
| E123 | 1/2/2023 | Shipping | 1/5/2023 | C1251 |
| E123 | 1/2/2023 | Shipping | 1/5/2023 | C1252 |
The requirement is to have a calldate and orddate slicer but plot in 3 unique graphs the below.
- An Initial call count graph
- A Service call count graph
- A shipping call count graph
the graph should be the distinct count of Orders who have had 0, 1, 2, 3, 4, 5 Initial call, where 0,1,2,3,4,5 is on the x axis
For a Shipping call count graph:
With a OrdDate Slicer from 11/1/22 - 1/31/22 AND with a call date slicer as 12/1/22 - 12/20/22
the first column for 0 (on x axis) should be 5 (this is because none of the 5 orders had calls within the secondary date range)
With a OrdDate Slicer from 11/1/22 - 1/31/22 AND with a call date slicer as 1/1/23 - 1/20/23
the first column for 0 (on x axis) should be 2 (this is because B123 and C123 had 0 calls within the secondary date range)
the second column for 1 (on x axis) should be 3 (because A123, D123, E123 each had atleast 1 shipping call within the secondary date range)
With a OrdDate Slicer from 11/1/22 - 1/31/22 AND with a call date slicer as 1/1/23 - 1/5/23
the first column for 0 (on x axis) should be 4 (this is because A123, B123, C123, D123 had 0 calls within the secondary date range)
the second column for 1 (on x axis) should be 1 (because A123, D123, E123 each had atleast 1 shipping call within the secondary date range)
The same concept for Initial and Service calls. I did try to use a summarize table solution, but the slicer is throwing me off. When i select the date, the members with no calls dont show (i.e column with 0 calls). And if i use the EXCEPT , then the filter is not applied at all.
Any recommendations on how to resolve this please.
Solved! Go to Solution.
Hi @PBI5851 ,
I've tried to recreate what i believe is your end-goal.
How does this match your intended output?
It's done with the following measures:
Shipping Call Count =
VAR totalOrders = CALCULATE( DISTINCTCOUNT( Orders[OrderNo] ) , REMOVEFILTERS( Orders[CallDate] ))
VAR WithCalls = COUNTROWS( FILTER ( SUMMARIZE( Orders , Orders[OrderNo] , Orders[CallType] , "Value" , COUNTROWS( Orders ) ) , [Value] >= 1 && Orders[CallType] = "Shipping") )
Return
SWITCH( SELECTEDVALUE( 'Count'[Count] ) ,
"0" , totalOrders - WithCalls ,
"1" , WithCalls
)Service Call Count =
VAR totalOrders = CALCULATE( DISTINCTCOUNT( Orders[OrderNo] ) , REMOVEFILTERS( Orders[CallDate] ))
VAR WithCalls = COUNTROWS( FILTER ( SUMMARIZE( Orders , Orders[OrderNo] , Orders[CallType] , "Value" , COUNTROWS( Orders ) ) , [Value] >= 1 && Orders[CallType] = "Service") )
Return
SWITCH( SELECTEDVALUE( 'Count'[Count] ) ,
"0" , totalOrders - WithCalls ,
"1" , WithCalls
)Initial Call Count =
VAR totalOrders = CALCULATE( DISTINCTCOUNT( Orders[OrderNo] ) , REMOVEFILTERS( Orders[CallDate] ))
VAR WithCalls = COUNTROWS( FILTER ( SUMMARIZE( Orders , Orders[OrderNo] , Orders[CallType] , "Value" , COUNTROWS( Orders ) ) , [Value] >= 1 && Orders[CallType] = "Initial") )
Return
SWITCH( SELECTEDVALUE( 'Count'[Count] ) ,
"0" , totalOrders - WithCalls ,
"1" , WithCalls
)
Plus a small static table to populate the x-axis:
/ J
Hi @PBI5851 ,
I've tried to recreate what i believe is your end-goal.
How does this match your intended output?
It's done with the following measures:
Shipping Call Count =
VAR totalOrders = CALCULATE( DISTINCTCOUNT( Orders[OrderNo] ) , REMOVEFILTERS( Orders[CallDate] ))
VAR WithCalls = COUNTROWS( FILTER ( SUMMARIZE( Orders , Orders[OrderNo] , Orders[CallType] , "Value" , COUNTROWS( Orders ) ) , [Value] >= 1 && Orders[CallType] = "Shipping") )
Return
SWITCH( SELECTEDVALUE( 'Count'[Count] ) ,
"0" , totalOrders - WithCalls ,
"1" , WithCalls
)Service Call Count =
VAR totalOrders = CALCULATE( DISTINCTCOUNT( Orders[OrderNo] ) , REMOVEFILTERS( Orders[CallDate] ))
VAR WithCalls = COUNTROWS( FILTER ( SUMMARIZE( Orders , Orders[OrderNo] , Orders[CallType] , "Value" , COUNTROWS( Orders ) ) , [Value] >= 1 && Orders[CallType] = "Service") )
Return
SWITCH( SELECTEDVALUE( 'Count'[Count] ) ,
"0" , totalOrders - WithCalls ,
"1" , WithCalls
)Initial Call Count =
VAR totalOrders = CALCULATE( DISTINCTCOUNT( Orders[OrderNo] ) , REMOVEFILTERS( Orders[CallDate] ))
VAR WithCalls = COUNTROWS( FILTER ( SUMMARIZE( Orders , Orders[OrderNo] , Orders[CallType] , "Value" , COUNTROWS( Orders ) ) , [Value] >= 1 && Orders[CallType] = "Initial") )
Return
SWITCH( SELECTEDVALUE( 'Count'[Count] ) ,
"0" , totalOrders - WithCalls ,
"1" , WithCalls
)
Plus a small static table to populate the x-axis:
/ J
Here you go:
https://drive.google.com/file/d/1U7AAwM-2ACx1sZvUbUwvcBam0dFT4H-r/view?usp=sharing
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 |
|---|---|
| 45 | |
| 43 | |
| 39 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 67 | |
| 66 | |
| 31 | |
| 28 | |
| 24 |