Forum Discussion
Data to be merged on Visual Level
- Anonymous8 months ago
Hi srlabhe ,
Thank you for your follow-up. The visual appearing blank in this scenario is expected and not an issue with Fabric or Power BI. This happens because the ChangeLabel measure uses SELECTEDVALUE from both the start and end date slicers. If either slicer doesn't have a single date selected, SELECTEDVALUE returns blank, making the measure blank for all rows and causing the table visual to appear empty. This only occurs after the measure is added.
To address this, use disconnected date tables for the start and end date slicers. If the slicers are connected to the main table, data is filtered out before the measure runs, preventing it from accurately determining if a record is new, deleted, modified, or unchanged between snapshots. Disconnected slicers keep the full dataset visible, allowing the measure to compare the two dates directly.
It's also important that the measure never returns blank. It should handle cases where one or both slicers aren't selected and return a meaningful value, so the visual stays visible. When both dates are selected, the measure can then determine the status of each ID. This approach keeps the table from disappearing.
If you want to let users filter by change type (like New or Modified), use a separate measure as a visual level filter instead of relying on the label measure alone. This way, the table remains populated even if no change type is selected.
Thank you.
Yes but when I select multiple values form filter it deosnt work as required. For ex if I just want to show everything except No Chnage and select in filter accordingly it still shows "No change"data.Below is the measure i am using to select data
Hi srlabhe ,
Thank you for your follow-up. The visual appearing blank in this scenario is expected and not an issue with Fabric or Power BI. This happens because the ChangeLabel measure uses SELECTEDVALUE from both the start and end date slicers. If either slicer doesn't have a single date selected, SELECTEDVALUE returns blank, making the measure blank for all rows and causing the table visual to appear empty. This only occurs after the measure is added.
To address this, use disconnected date tables for the start and end date slicers. If the slicers are connected to the main table, data is filtered out before the measure runs, preventing it from accurately determining if a record is new, deleted, modified, or unchanged between snapshots. Disconnected slicers keep the full dataset visible, allowing the measure to compare the two dates directly.
It's also important that the measure never returns blank. It should handle cases where one or both slicers aren't selected and return a meaningful value, so the visual stays visible. When both dates are selected, the measure can then determine the status of each ID. This approach keeps the table from disappearing.
If you want to let users filter by change type (like New or Modified), use a separate measure as a visual level filter instead of relying on the label measure alone. This way, the table remains populated even if no change type is selected.
Thank you.
- Anonymous8 months agoNot applicable
Hi srlabhe ,
I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions.
Thank you.- Anonymous8 months agoNot applicable
Hi srlabhe ,
I wanted to follow up and see if you had a chance to review the information shared. If you have any further questions or need additional assistance, feel free to reach out.
Thank you.