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!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
Hello!
Hoping to get some help here.
I have a data set with Customer Name, OrderID, Promise Date, Ship Date, and Order Amount.
I'm grouping the data by Customer and Month (see below). I would like to conditionally format those orders where the ship month (column) is either before or after compared to the (row) promise month (i.e. early, on time, late). If possible, I'm trying to ignore the Day and simply compare the month (i.e. Shipping Feb 3rd with a Promise date of Feb. 5th is the same month).
For example-
We're shipping $1,350.02 in 2022-02 where the promise date was 2022-01, cell would be red (late).
$98,145.04 is shipping 2022-02 and promised in 2022-01, cell would be white (on time).
$189,246.83 is shipping in 2022-02 and is promised in 2022-03, cell would be blue (shipping early).
thanks in advance!
Solved! Go to Solution.
Without data pasted or PBIX file, it is tough. But, your explanation is perfect! Tried with only four values...
Data
Measure
Font color =
var _a = Max('Table'[Ship Date])
var _b = Max('Table'[Promise Date])
var _m = datediff(_a, _b, month)
return switch (
true (),
_m > 0, "blue",
_m < 0 , "red",
""
)
Color setting
output
Excellent! thank you!
Without data pasted or PBIX file, it is tough. But, your explanation is perfect! Tried with only four values...
Data
Measure
Font color =
var _a = Max('Table'[Ship Date])
var _b = Max('Table'[Promise Date])
var _m = datediff(_a, _b, month)
return switch (
true (),
_m > 0, "blue",
_m < 0 , "red",
""
)
Color setting
output
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 58 | |
| 53 | |
| 43 | |
| 17 | |
| 16 |
| User | Count |
|---|---|
| 122 | |
| 108 | |
| 44 | |
| 32 | |
| 24 |