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!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hello everyone,
I need to check if the GPS coordinates (longitude and latitude) are the same on two tables (with a little variation/delta of +/- 0.0001).
Here is an example of my data from my table A :
| Identifiant | PositionTimeStampp | Long | Lat | SameLongitude | SameLatitude | ||||
| 1 | 21/07/2022 14:50:00 | 47.307390 | 0.69521 | Yes | Yes | ||||
| 1 | 20/07/2022 14:40:00 | 47,25620 | 0,09238 | Yes | Yes | ||||
| 2 | 21/07/2022 13:50:00 | 47,28943 | 0,10107 | No | No | ||||
| 2 | 19/07/2022 13:40:00 | 47,25620 | 0,09237 | Yes | Yes |
Here is an example of my data from my table B :
| Identifiant | GPS coordinates | Longitude | Latitude | |||
| 4 | 47.307390, 0.69522 | 47.307390 | 0.69522 | |||
| 5 | 47,25621, 0,09237 | 47,25621 | 0,09237 |
In these two tables:
- The first row of table A has (with variation) the same coordinates as the first row of table B.
- The second row and the fourth row of table A have (with the variation) the same coordinates as the second row of table B.
- However the third row of table A has no coordinates in common with table B
Do you have a solution or an idea ?
Best regards
Solved! Go to Solution.
What Data Type are the Lat and Long fields? (text, decimal number?)
A) If the fields are type Decimal Number:
Check Long =
VAR _v1 =
FORMAT ( MAX ( Table1[Long] ), "#0.00000" )
VAR _T =
VALUES ( 'Table 2'[Longitude] )
VAR _Tplus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[Longitude] ),
"Longitude", 'Table 2'[Longitude] + 0.00001
)
VAR _Tminus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[Longitude] ),
"Longitude", 'Table 2'[Longitude] - 0.00001
)
VAR _UN =
SELECTCOLUMNS (
UNION ( _T, _Tplus, _Tminus ),
"Text", FORMAT ( [Longitude], "#0.00000" )
)
RETURN
IF ( _v1 IN _UN, "Yes", "No" )
Check Lat =
VAR _V1 =
FORMAT ( MAX ( Table1[Lat] ), "#0.00000" )
VAR _T =
VALUES ( 'Table 2'[Latitude] )
VAR _Tplus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[Latitude] ),
"Latitude", 'Table 2'[Latitude] + 0.00001
)
VAR _Tminus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[Latitude] ),
"Latitude", 'Table 2'[Latitude] - 0.00001
)
VAR _UN =
SELECTCOLUMNS (
UNION ( _T, _Tplus, _Tminus ),
"Text", FORMAT ( [Latitude], "#0.00000" )
)
RETURN
IF ( _V1 IN _UN, "Yes", "No" )
B) If the Lat/long Fields are Type Text:
Check Long txt =
VAR _v1 =
MAX ( Table1[TXT LONG] )
VAR _T =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Long] ),
"Longitude", VALUE ( 'Table 2'[TXT Long] )
)
VAR _Tplus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Long] ),
"Longitude", VALUE ( 'Table 2'[TXT Long] ) + 0.00001
)
VAR _Tminus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Long] ),
"Longitude", VALUE ( 'Table 2'[TXT Long] ) - 0.00001
)
VAR _UN =
SELECTCOLUMNS (
UNION ( _T, _Tplus, _Tminus ),
"Text", FORMAT ( [Longitude], "#0.00000" )
)
RETURN
IF ( _v1 IN _UN, "Yes", "No" )
Check Lat txt =
VAR _V1 =
MAX ( Table1[TXT LAT] )
VAR _T =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Lat] ),
"Latitude", VALUE ( 'Table 2'[TXT Lat] )
)
VAR _Tplus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Lat] ),
"Latitude", VALUE ( 'Table 2'[TXT Lat] ) + 0.00001
)
VAR _Tminus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Lat] ),
"Latitude", VALUE ( 'Table 2'[TXT Lat] ) - 0.00001
)
VAR _UN =
SELECTCOLUMNS (
UNION ( _T, _Tplus, _Tminus ),
"Text", FORMAT ( [Latitude], "#0.00000" )
)
RETURN
IF ( _V1 IN _UN, "Yes", "No" )
I've attached the sample PBIX
Proud to be a Super User!
Paul on Linkedin.
What Data Type are the Lat and Long fields? (text, decimal number?)
A) If the fields are type Decimal Number:
Check Long =
VAR _v1 =
FORMAT ( MAX ( Table1[Long] ), "#0.00000" )
VAR _T =
VALUES ( 'Table 2'[Longitude] )
VAR _Tplus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[Longitude] ),
"Longitude", 'Table 2'[Longitude] + 0.00001
)
VAR _Tminus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[Longitude] ),
"Longitude", 'Table 2'[Longitude] - 0.00001
)
VAR _UN =
SELECTCOLUMNS (
UNION ( _T, _Tplus, _Tminus ),
"Text", FORMAT ( [Longitude], "#0.00000" )
)
RETURN
IF ( _v1 IN _UN, "Yes", "No" )
Check Lat =
VAR _V1 =
FORMAT ( MAX ( Table1[Lat] ), "#0.00000" )
VAR _T =
VALUES ( 'Table 2'[Latitude] )
VAR _Tplus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[Latitude] ),
"Latitude", 'Table 2'[Latitude] + 0.00001
)
VAR _Tminus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[Latitude] ),
"Latitude", 'Table 2'[Latitude] - 0.00001
)
VAR _UN =
SELECTCOLUMNS (
UNION ( _T, _Tplus, _Tminus ),
"Text", FORMAT ( [Latitude], "#0.00000" )
)
RETURN
IF ( _V1 IN _UN, "Yes", "No" )
B) If the Lat/long Fields are Type Text:
Check Long txt =
VAR _v1 =
MAX ( Table1[TXT LONG] )
VAR _T =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Long] ),
"Longitude", VALUE ( 'Table 2'[TXT Long] )
)
VAR _Tplus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Long] ),
"Longitude", VALUE ( 'Table 2'[TXT Long] ) + 0.00001
)
VAR _Tminus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Long] ),
"Longitude", VALUE ( 'Table 2'[TXT Long] ) - 0.00001
)
VAR _UN =
SELECTCOLUMNS (
UNION ( _T, _Tplus, _Tminus ),
"Text", FORMAT ( [Longitude], "#0.00000" )
)
RETURN
IF ( _v1 IN _UN, "Yes", "No" )
Check Lat txt =
VAR _V1 =
MAX ( Table1[TXT LAT] )
VAR _T =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Lat] ),
"Latitude", VALUE ( 'Table 2'[TXT Lat] )
)
VAR _Tplus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Lat] ),
"Latitude", VALUE ( 'Table 2'[TXT Lat] ) + 0.00001
)
VAR _Tminus =
SELECTCOLUMNS (
VALUES ( 'Table 2'[TXT Lat] ),
"Latitude", VALUE ( 'Table 2'[TXT Lat] ) - 0.00001
)
VAR _UN =
SELECTCOLUMNS (
UNION ( _T, _Tplus, _Tminus ),
"Text", FORMAT ( [Latitude], "#0.00000" )
)
RETURN
IF ( _V1 IN _UN, "Yes", "No" )
I've attached the sample PBIX
Proud to be a Super User!
Paul on Linkedin.
Hello Paul,
In my case, it was option B (my fields were of type Text)
Thank you for your answer, this seems correct for my need
Best regards
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 59 | |
| 46 | |
| 42 | |
| 23 | |
| 18 |
| User | Count |
|---|---|
| 193 | |
| 123 | |
| 99 | |
| 67 | |
| 49 |