kruscho opened a new issue, #4647: URL: https://github.com/apache/streampipes/issues/4647
### Apache StreamPipes version dev (current development state) ### Affected StreamPipes components UI ### What happened? **Description** The current Table visualization in the Charts component supports Value Highlighting, where cell colors are automatically derived from the minimum and maximum values present in the displayed dataset. This approach works well when values have a broad distribution. However, when the data values are very close to each other, the resulting colors become almost indistinguishable, making it difficult for users to identify trends, deviations, or critical values at a glance. **Proposed Enhancement** Introduce an option to manually define a valid value range (minimum and maximum) for the color scale used in Value Highlighting. For example, users could specify: Minimum value: 0 Maximum value: 100 Even if the currently displayed values range only from 48 to 52, the highlighting would be calculated against the configured range (0–100) rather than the dataset's local min/max values. This would produce more meaningful color differences and improve visual interpretation. **Use Case Example** A temperature monitoring dashboard displays values between 49°C and 51°C. With the current implementation, color differences are barely visible because the dataset range is very small. By defining a custom range of 0°C–100°C, the highlighting reflects the absolute position within the expected operating range and provides a more meaningful visual representation. Suggested UI Add an optional configuration section in the Table visualization settings: Value Highlighting ☑ Enable Highlighting Color Scale Range ( ) Automatic (Current Behavior) (*) Custom Range Minimum Value: [ 0 ] Maximum Value: [ 100 ] ### How to reproduce? _No response_ ### Expected behavior _No response_ ### Additional technical information _No response_ ### Are you willing to submit a PR? None -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
