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 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more
I have 2 tables containing airline data with airline code, arrival & departure code and arrival time & departure time
Im trying to create a table that compares the 2 tables below and shows me if 2 airlines have departure times from the same arrival airport code that are less than 1 hour apart.
Any help ?
The data for these 2 tables is populated from the same source. I just edited the interations so that allow them to be operate seperately. Can a bridge table still solve this if they are both pulling from 1 table ?
That means they have different filtets. No need in this case to a bridge table we just need first to carefully understand the filter context of each one in order to replicate it using dax code.
Hi @dymetre973
you may start with creating a bridge table that contains all the unique Airport Codes and filters both tables. Then you slice by the Airport Code from the bridge table and use the following measure
Count =
SUMX (
Table1,
SUMX (
Table2,
IF (
ABS ( DATEDIFF ( Table1[Departure Time], Table2[Departure Time], MINUTE ) ) < 60,
1
)
)
)
If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!
Check out the July 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 30 | |
| 28 | |
| 23 | |
| 21 | |
| 19 |
| User | Count |
|---|---|
| 40 | |
| 31 | |
| 18 | |
| 18 | |
| 15 |