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Timeline View

The Timeline View is your central hub for visualizing inspection history and managing your beehive data over time. With recent improvements, you can now save and load your inspection data as JSON files for better data management.

Visual Enhancement Needed

Add screenshots of the timeline interface showing: - Main timeline chart with inspection points - JSON save/load buttons and workflow - Filter controls and date picker interface

Overview

The Timeline View provides:

  • Interactive timeline visualization of all your inspections
  • JSON save and load functionality for data persistence
  • Filter and search capabilities to find specific inspections
  • Weather correlation showing environmental context
  • Color analysis trends across time periods

Accessing the Timeline

  1. Navigate to Timeline: Click "Timeline" in the sidebar from any page
  2. Wait for data loading: The dashboard will load your existing inspection data
  3. Explore the interface: Use the interactive controls to filter and analyze

Key Features

Interactive Timeline Chart

The main timeline displays:

  • Date axis: Chronological order of all inspections
  • Inspection points: Each photo analysis as a plotted point
  • Color indicators: Visual representation of dominant colors found
  • Weather overlay: Temperature and conditions for each inspection
  • Clickable points: Click any point to view detailed analysis

JSON Data Management

Saving Your Data

  1. Complete your analysis: Ensure all inspection data is processed
  2. Click "Save as JSON": Located in the sidebar or main interface
  3. Choose location: Select where to save your file
  4. Confirm save: Verify the success message

The JSON file contains: - Complete inspection metadata - Photo analysis results - Weather data correlations - Color palette information - Your annotations and notes

Loading Previous Data

  1. Click "Load JSON": Found in the Timeline View
  2. Select your file: Browse to your saved JSON inspection data
  3. Verify import: Check that data appears correctly in timeline
  4. Continue analysis: Add new inspections to existing timeline

Date Range Filtering: - Use the date picker to select specific time periods - View seasonal patterns and trends - Compare different months or years

Location Filtering: - Filter by GPS coordinates or hive locations - Useful for beekeepers with multiple apiaries - Group inspections by geographic area

Weather Condition Filtering: - Show only inspections during specific weather - Correlate hive activity with environmental conditions - Identify optimal inspection conditions

Practical Workflows

Visual Enhancement Needed

Add workflow diagram showing the seasonal analysis process with screenshots of each step.

Seasonal Analysis Workflow

  1. Load your complete dataset using "Load JSON"
  2. Set date filters to compare seasons (e.g., Spring vs Fall)
  3. Examine color trends - healthy vs stressed hive indicators
  4. Note weather patterns - how conditions affect inspections
  5. Export findings for record-keeping or sharing

Hive Health Tracking

  1. Review timeline chronologically to spot trends
  2. Look for color changes that might indicate health issues
  3. Correlate with weather events (storms, temperature extremes)
  4. Add annotations to mark treatments or interventions
  5. Save updated data to JSON for future reference

Data Backup and Sharing

  1. Regular JSON exports ensure your data is preserved
  2. Share JSON files with mentors or fellow beekeepers
  3. Import data on different devices or installations
  4. Version control by dating your JSON exports

Tips for Best Results

Photo Organization

  • Consistent naming: Use clear, descriptive file names
  • Regular uploads: Don't let photos accumulate too long
  • GPS enabled: Ensure location data is captured for weather integration

Data Management

  • Regular saves: Export JSON files after each inspection session
  • Organized storage: Keep JSON files in a dedicated folder
  • Backup strategy: Store copies in cloud storage or multiple locations

Analysis Best Practices

  • Seasonal comparisons: Compare same months across different years
  • Weather awareness: Note unusual weather patterns in your observations
  • Color trends: Track changes in honeycomb colors over time
  • Documentation: Add detailed notes to unusual findings

Troubleshooting

Timeline Not Loading

  • Check data directory: Ensure inspection data exists
  • Restart application: Sometimes a refresh resolves display issues
  • Verify file permissions: Make sure the app can read data files

JSON Import/Export Issues

  • File format: Ensure files have .json extension
  • File size: Very large datasets might load slowly
  • Corrupted data: Check file integrity if import fails

Performance Issues

  • Large datasets: Consider filtering date ranges for faster loading
  • Memory usage: Close other applications if timeline becomes slow
  • Browser cache: Clear browser cache if interface becomes unresponsive

Advanced Features

Custom Annotations

Add detailed notes to specific timeline points: - Treatment dates and methods - Equipment changes or additions - Unusual observations or behaviors - Weather events that affected inspections

Export Options

Beyond JSON, you can export: - CSV format: For spreadsheet analysis - Image files: Timeline charts as PNG/PDF - Filtered datasets: Only selected date ranges or conditions


The Timeline View transforms your individual photo analyses into a comprehensive view of your beekeeping journey. Regular use of the JSON save/load functionality ensures your valuable inspection data is always preserved and easily accessible.