Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi All,
I'm having an issue with related tables.
I have 2 tables that connected on a unique ID on a 1:1 relationship. For clarification I have several productnames for each HH of the day so the unique ID is the datetime and the product name.
Both tables have exactly the same date range and product list (one is supply, the other is demand).
However, when I try and do a bar chart visualisation, as soon as I try and plot the data against a date series, one of the values will sum under (Blank) rather than against the date series.
I.e. if I plot supply and demand against the demand dates then supply will sum under (blank) and vice versa. The image below shows this with the Supply Dot in black but the demand plotted against the dates.
Weirdly, i have another 2 tables that are exactly the same, but with other S/D data and they work perfectly.....
Any help would be appreciated.
Solved! Go to Solution.
You could use the relationship to a new table which contains all the unique IDs.
You could use the relationship to a new table which contains all the unique IDs.
This has been solved - thanks for all replies
Glad to hear that. To close this thread, you may help accept the solution. Your contribution is highly appreciated.
First thing I would check is your relationship direction. Probably want it to be bi-directional.
i have a similar problem. My tables are connected, i have a both way cross filter direction. But when i try to drag the field from the two different tables connected via 3rd table (with all unique values), it gives me the following error. My earlier error is in the snip below
It is (1:1 cardinality so running both ways)
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
114 | |
99 | |
83 | |
70 | |
60 |
User | Count |
---|---|
150 | |
115 | |
104 | |
89 | |
65 |