GitHub user richardfogaca edited a discussion: Remove nulls option
# Remove Null Values in Timeseries Charts ### Contribution Summary Added a new control option `removeNullValues` to Timeseries charts that allows users to control how null values are handled in their visualizations. When enabled, lines will connect across null values instead of breaking at those points. The demo has been implemented in the Line chart type but can be extended to Bar and Mixed charts as well. ### How It Works The `removeNullValues` control is implemented as a checkbox in the Chart Options section of the control panel. When enabled, it sets `connectNulls: true` in the ECharts configuration for line series. This tells ECharts to connect data points across null values, creating a continuous line even when there are gaps in the data. The implementation consists of two parts: 1. A new control in the control panel that allows users to toggle the behavior 2. Logic in `transformProps.ts` that applies the `connectNulls` setting to the chart configuration ### Screenshot #### Before <img width="812" alt="Screenshot 2025-04-08 at 14 15 06" src="https://github.com/user-attachments/assets/75efb098-72ca-4477-be4a-f1205a66448c"; /> #### After <img width="792" alt="Screenshot 2025-04-08 at 14 15 15" src="https://github.com/user-attachments/assets/05b7c833-b27e-4766-8a3b-1c66b9a91bfe"; /> #### Control <img width="174" alt="Screenshot 2025-04-08 at 14 15 38" src="https://github.com/user-attachments/assets/0c0caf6d-0e0f-4910-836b-9ab23f293374"; /> ### Fork with working prototype The implementation is available in this [fork](https://github.com/richardfogaca/superset/tree/remove-nulls) ### Chart containing null data [remove nulls.zip](https://github.com/user-attachments/files/19654059/remove.nulls.zip) ### Why This Matters Handling null values effectively is crucial for data visualization, especially in time series data where gaps can occur due to various reasons (missing data, irregular sampling, etc.). This improvement: - Gives users more control over how their data is visualized - Improves readability of charts with missing data points - Help with cases where showing gaps in data would be misleading - Is helpful to maintain visual continuity in trend analysis GitHub link: https://github.com/apache/superset/discussions/33042 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
