Understanding the Dashboard

This guide explains the main interface and how to use the different views available in your Fitness Dashboard.

Main Dashboard

When you open the application at http://localhost:8501, you'll see your main dashboard with personalized insights about your workouts.

What You'll See

Header Summary

The top of the page shows a summary of your data:

🧠 Your dashboard analyzed 2,409 workouts and found 4 key insights
Last updated: 2 minutes ago | Analysis confidence: 87%

This tells you: - How many workouts have been analyzed - When the analysis was last updated - How confident the system is about its classifications - How many insights were found in your recent data

Main Insight Cards

The dashboard shows three main cards with insights about your workouts:

🎯 Focus Area

Based on your workout patterns, the system suggests what to work on:

• Building Consistency (if you have irregular workout patterns): Focus on establishing a regular schedule
• Adding Frequency (if you're consistent but infrequent): Try to work out more often
• Optimizing Performance (if you're consistent and frequent): Focus on improving your times or distances

Example:

🎯 FOCUS AREA: Building Consistency
📊 Current score: 42/100
💡 Suggestion: Try to establish a regular workout schedule
   Based on: Pattern analysis of your workout frequency
   Confidence: 85%

📈 Trending

Shows how your performance is changing over time:

• Improving trends - metrics that are getting better
• Declining trends - metrics that may need attention
• Stable patterns - metrics that are staying consistent

Example:

📈 TRENDING: Calorie Burn Improving
📊 +12.5% increase over 30 days
💡 Based on: Statistical analysis of your recent workouts
   Confidence: 91%

⚠️ Alerts

Highlights anything unusual in your recent workouts:

• All normal - when your patterns are consistent
• Unusual patterns - when something looks different from your typical workouts
• Data quality issues - when there might be problems with imported data

Example:

⚠️ Unusual pattern detected
📊 Recent pace much slower than typical
💡 Based on: Comparison with your workout history

Understanding How It Works

If you're curious about how the analysis works, the dashboard includes explanations:

"How was this calculated?" Links

Throughout the dashboard, you'll see links that explain: - What analysis was used - in simple terms - How confident the system is in its conclusions - What the results mean for your workouts - How to improve the accuracy if needed

Workout Categorization Demo

There's an interactive section that shows how workouts get categorized:

Workout Types: - Real Runs: Focused running sessions (typically 8-12 min/mile pace) - Walking/Hiking: Leisurely activities (typically 20-28 min/mile pace) - Mixed Activities: Combined running and walking - Outliers: Unusual workouts that don't fit typical patterns

You can click on any workout to see why it was categorized the way it was.

Personalized Suggestions

Based on your workout patterns, the dashboard may suggest: - Training focus areas based on your current consistency and frequency - Performance improvements based on trend analysis - Schedule adjustments to help build better habits - Data quality improvements to get better insights

Dashboard Navigation Map

Here's how all the different sections connect and what each one offers:

mindmap
  root((🏠 Main<br/>Dashboard))
    📊 Monthly View
      📅 Calendar Display
      📈 Monthly Stats
      📋 Recent Workouts
      🎯 Activity Breakdown

    📈 Trends Analysis
      📊 Performance Charts
      📉 Statistical Trends
      🔮 Forecasting
      📏 Time Comparisons

    🛠️ Model Management
      🤖 Classification Control
      📊 Accuracy Metrics
      🔧 Retraining Tools
      ✏️ Correction Interface

    🔍 Data Explorer
      💾 SQL Query Interface
      🗂️ Custom Filters
      📤 Export Tools
      📋 Raw Data Table

    🐕 The Choco Effect
      📊 Behavior Analysis
      📈 Pattern Changes
      🔄 Transformation View
      📉 Before/After Stats

    📖 Quick Reference
      ⚡ Common Commands
      🔧 Troubleshooting
      📋 SQL Examples
      🎯 Task Guides

Each section serves different analysis needs - from quick daily insights to deep custom analysis. The main dashboard ties everything together with personalized recommendations.

Other Dashboard Views

Besides the main dashboard, you can access different views using the navigation menu:

Monthly View

Shows your workout data organized by month: - Monthly statistics and summaries - Calendar view of your workouts - Activity breakdowns by type - Recent workout history

Trends Analysis

Detailed charts and graphs showing: - Performance trends over time - Statistical analysis of your progress - Comparisons between different time periods - Forecasting based on your patterns

Data Explorer

Advanced tools for custom analysis: - SQL query interface for detailed data exploration - Custom date ranges and filters - Export options for your data - Raw workout data table with all imported information

The Choco Effect

A specialized view that: - Analyzes behavior changes over time - Shows how your workout patterns have evolved - Highlights significant transformations in your fitness journey

Workout History

Simple table view showing: - All your imported workouts - Categorization results - Basic statistics for each workout - Links to map data (if available)

Getting Help

Understanding Results

If you see results that don't make sense: - Click the "How was this calculated?" links for explanations - Check the confidence scores - low confidence may indicate uncertain results - Review your imported data for any obvious errors

Improving Accuracy

You can help improve the analysis by: - Correcting misclassifications when you see them - Providing feedback through the interface - Ensuring data quality in your imports - Using consistent activity naming when exporting from your fitness app

Common Questions

• "Why is this workout categorized wrong?" - Click on the workout to see the reasoning, and use the correction feature if needed
• "Why don't I see any trends?" - You may need more workout data (typically 10+ workouts) for meaningful trend analysis
• "What does the confidence score mean?" - It shows how certain the system is about its analysis (higher is better)

Next Steps

Now that you understand the main dashboard: - Import your data to see personalized insights - Learn about common tasks to get the most from the dashboard - Explore visualization features for deeper analysis - Try custom queries for advanced data exploration