Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
I need to calculate the growth or decrease based on the first and last record.
I have no idea. Bring data from one column based on another. When I say this, it is because I understand that I should bring the "QTY" column based on MIN (vdata) and MAX (vdata) and this I am not able to do with the little knowledge I have.
| name | vdata | qty |
| name a | 01/01/2017 | 10 |
| name a | 10/10/2017 | 15 |
| name a | 11/11/2017 | 20 |
| name b | 02/02/2017 | 10 |
| name b | 04/04/2017 | 14 |
| name b | 05/05/2017 | 8 |
| name c | 08/08/2017 | 10 |
| name c | 09/09/2017 | 32 |
| name c | 05/05/2017 | 42 |
----------------------------------
Example "Name A":
First reading: 01/01/2017
Value: 10
Last reading: 11/11/2017
Value: 20
-> Positive Result: 100%
----------------------------------
Example "Name B"
First reading: 02/02/2017
Value: 10
Last reading: 11/11/2017
Value: 8
-> Negative Result: (- 20%)
----------------------------------
In the past I simply calculated using MIN (qty) and MAX (qty). But sometimes between falls and uploads the data comes in incorrectly. GROWPERCENT = ((MAX(qty) - MIN(qty))/ MIN(qty)
I appreciate the help.
Solved! Go to Solution.
Hi,
Use this measure
Growth :=
CALCULATE (
VALUES ( Table1[qty] ),
FILTER ( Table1, Table1[vdata] = MAX ( Table1[vdata] ) )
)
/ CALCULATE (
VALUES ( Table1[qty] ),
FILTER ( Table1, Table1[vdata] = MIN ( Table1[vdata] ) )
)
- 1
Hi,
Use this measure
Growth :=
CALCULATE (
VALUES ( Table1[qty] ),
FILTER ( Table1, Table1[vdata] = MAX ( Table1[vdata] ) )
)
/ CALCULATE (
VALUES ( Table1[qty] ),
FILTER ( Table1, Table1[vdata] = MIN ( Table1[vdata] ) )
)
- 1
Hi @Zubair_Muhammad thanks a lot.
I just tested and it worked perfectly!!
When the person has the knowledge, everything is easier, right?
Thank you very much.
| User | Count |
|---|---|
| 23 | |
| 19 | |
| 18 | |
| 17 | |
| 13 |
| User | Count |
|---|---|
| 60 | |
| 52 | |
| 47 | |
| 40 | |
| 38 |