- Added ScatterChart and related functions to visualize correlation data, improving user understanding of relationships between metrics.
- Introduced new utility functions for processing chart data and determining status tones, enhancing the clarity of visual representations.
- Updated the NutritionSection to include additional insights on calorie balance and protein vs. lean mass, providing a more comprehensive overview of nutrition trends.
- Refactored the `calculate_lag_correlation` function to normalize lag payloads and improve correlation calculations for various nutrition metrics.
- Introduced a new function `build_nutrition_correlation_heuristic_items` to generate heuristic insights based on merged nutrition data, enhancing user understanding of dietary impacts on weight and body composition.
- Updated the `get_nutrition_history_viz_bundle` function to include daily calorie balance and protein vs. lean mass data, providing a comprehensive view of nutrition trends.
- Enhanced the frontend to visualize calorie balance and protein vs. lean mass insights, improving the user experience with clear graphical representations of dietary correlations.
- Modified the `build_sleep_debt_chart_payload` function to correctly handle date types, ensuring only valid dates are processed.
- Enhanced the logic to append today's date and current debt value to the chart data if the last recorded date is earlier than today, aligning the chart with KPI metrics.
- Updated metadata calculations to reflect the correct number of data points based on labels, improving the accuracy of the recovery chart payload.
