Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Calling all Data Engineers! Fabric Data Engineer (Exam DP-700) live sessions are back! Starting October 16th. Sign up.
I am wanting to create a Pareto Chart based on the number of times an item is shipped. My data is an ItemLedger that lists a ship under TransactionType as "ORD.SHIP".
For Example, 500001853 was shipped 4 times
My Data:
BranchID | ItemID | UserID | TransactionType | LotNumber | TransactionNumber | Quantity | BinID | LedgerDateTime | Index | LedgerDate |
DC01 | 500001846 | CPEREZ | ORD.SHIP | 30000534-02-1 | C100280514 | -24 | <NONE> | 10/19/2020 | 365321 | 10/19/2020 |
DC01 | 500001853 | CPEREZ | ORD.SHIP | >KGK1BAAA | C100253075 | -802 | <NONE> | 8/25/2020 | 286477 | 8/25/2020 |
DC01 | 500001853 | CPEREZ | ORD.SHIP | >60KFBDAA | C100255963 | -19198 | <NONE> | 8/27/2020 | 289691 | 8/27/2020 |
DC01 | 500001853 | CPEREZ | ORD.SHIP | >20BGBDAA | D1033372 | -39600 | <NONE> | 11/23/2020 | 430394 | 11/23/2020 |
DC01 | 500001853 | JOSER | PHYSINV.POST | >60KFBDAA | 00029711 | -3 | <NONE> | 11/22/2020 | 429531 | 11/22/2020 |
DC01 | 500001853 | QADGTW2 | INV.DISCREP | -3 | 11/26/2020 | 435286 | 11/26/2020 | |||
DC01 | 500001853 | QADGTW2 | INV.DISCREP | -3 | 11/28/2020 | 435304 | 11/28/2020 | |||
DC01 | 500001853 | QADGTW2 | INV.DISCREP | -3 | 11/30/2020 | 435326 | 11/30/2020 | |||
DC01 | 500001853 | CPEREZ | ORD.SHIP | >60KFBDAA | D1033372 | -400 | <NONE> | 11/23/2020 | 430395 | 11/23/2020 |
DA01 | 500001854 | CPEREZ | ORD.SHIP | >S5J9BDAA | D1024557 | -5 | <NONE> | 6/5/2020 | 194110 | 6/5/2020 |
DC01 | 500001854 | JOSER | ORD.SHIP | >8GP1BAAA | 00029711 | 36 | <NONE> | 11/22/2020 | 429532 | 11/22/2020 |
DC01 | 500001854 | QADGTW2 | ORD.SHIP | 36 | 11/26/2020 | 435287 | 11/26/2020 | |||
DC01 | 500001854 | QADGTW2 | INV.DISCREP | 36 | 11/28/2020 | 435305 | 11/28/2020 | |||
DC01 | 500001854 | QADGTW2 | INV.DISCREP | 36 | 11/30/2020 | 435328 | 11/30/2020 | |||
DC01 | 500001881 | CPEREZ | ORD.SHIP | >01MFBDAA | C100258529 | -8000 | <NONE> | 9/9/2020 | 301665 | 9/9/2020 |
DA01 | 500001881 | CPEREZ | ORD.SHIP | >TDF0BAAA | 00031146 | -3 | <NONE> | 1/13/2021 | 494244 | 1/13/2021 |
DC01 | 500001884 | CPEREZ | ORD.SHIP | >NR8QAAAA | D1031203 | -25 | <NONE> | 10/14/2020 | 358872 | 10/14/2020 |
DC01 | 500001884 | JOSER | PHYSINV.POST | >1D6ZAAAA | 00030055 | -2 | <NONE> | 12/3/2020 | 444332 | 12/3/2020 |
Expected Result:
ItemID | Count of ORD.SHIP | Running Total | HELPER - TOTAL SHIPPED | % of Total |
500001853 | 4 | 4 | 11 | 36.4% |
500001854 | 3 | 7 | 11 | 63.6% |
500001881 | 2 | 9 | 11 | 81.8% |
500001846 | 1 | 10 | 11 | 90.9% |
500001884 | 1 | 11 | 11 | 100.0% |
500001883 | 0 | 11 | 11 | 100.0% |
Notes:
I was able to make a few measures but am having a hard time putting it all together. I am fine with starting over from scratch and am more focused on improving.
Solved! Go to Solution.
Figured it out
Figured it out
Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes!
Check out the October 2025 Power BI update to learn about new features.
User | Count |
---|---|
10 | |
8 | |
6 | |
4 | |
3 |