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Health Visualizer - MVP Project Summary

iOS Health Data Visualization & Export Tool

Last Updated: November 15, 2025

📊 Project Overview

Health Visualizer is an iOS app that transforms Apple Health data into beautiful, exportable charts. Built with SwiftUI and HealthKit, it provides users with powerful visualization and export capabilities for their health metrics.

15

Data Types
Implemented

41%

iPhone/Watch
Coverage

4

Export
Formats

7

Chart
Types

📱 App Screenshots

✅ Completed Features

Core Functionality

  • HealthKit Integration - Full authorization and data fetching for 15 health metrics
  • Chart Visualization - 7 chart types (Line, Bar, Area, Scatter, Stacked Bar)
  • Sleep Analysis - Detailed sleep stage tracking with Apple Health color scheme
  • Custom Date Ranges - Preset ranges (Week, Month, 3M, 6M, Year) + Custom calendar picker
  • Horizontal Scrolling - Dynamic chart width for long date ranges (3+ months)
  • Chart Persistence - Save and load chart configurations

Export Capabilities

  • CSV Export - Clean tabular data for spreadsheet analysis
  • XLSX Export - Excel workbook with data sheet + embedded chart image
  • PNG Export - High-resolution chart images (2x scale)
  • PDF Export - Print-ready chart documents
  • Share Integration - Native iOS share sheet for all export formats

User Interface

  • Onboarding Flow - Streamlined HealthKit permission request
  • Dashboard - Quick access to data types and recent activity
  • Chart Configuration - Intuitive chart type and date range selection
  • Settings - Appearance mode (System/Light/Dark)
  • Loading States - Background threading with progress indicators

📱 Supported Health Data Types

Activity & Fitness (6 types)

Steps • Distance • Active Energy • Exercise Time • Flights Climbed • Walking Speed

Heart & Cardiovascular (2 types)

Heart Rate • VO2 Max (Cardio Fitness)

Respiratory (2 types)

Blood Oxygen (SpO2) • Respiratory Rate

Sleep (1 type)

Sleep Analysis - Stages (Awake, REM, Core, Deep, In Bed)

Body Measurements (2 types)

Body Mass (Weight) • Height

Hearing (2 types)

Environmental Audio Exposure • Headphone Audio Levels

📈 HealthKit Coverage Analysis

Coverage by Device Category

41%

iPhone & Watch
(15 of 37 types)

0%

External Devices
(0 of 25 types)

0%

Manual Input
(0 of 30+ types)

15%

Overall HealthKit
(15 of 100+ types)

Key Insight: By focusing on iPhone & Apple Watch auto-tracked data types, the app achieves 41% coverage of its target market - much better than the 15% overall HealthKit coverage suggests. This strategic focus aligns with the MVP's core value proposition.

High Priority Missing Types (Next Release)

  • Heart Metrics: Resting Heart Rate, Walking Heart Rate Avg, HRV (SDNN), Cardio Recovery, AFib Burden
  • Mobility: Walking Steadiness, Walking Asymmetry
  • Sleep: Sleep Apnea Events, Sleep Consistency
  • Mental Health: State of Mind, Anxiety Symptoms, Depression Symptoms (iOS 18 features)
  • Nutrition: Water, Caffeine (quick wins)
Quick Win Opportunity: Adding 6 high-value heart/mobility metrics would boost coverage to 45% in just 1-2 weeks of development.

🚀 Roadmap

v1.1 - Quick Wins (1-2 weeks)

  • Add 6 heart/mobility metrics (Resting HR, HRV, Walking Steadiness, etc.)
  • Increase XLSX chart width to 6000px
  • Improve export chart fonts and spacing
  • Add export format recommendations
  • Result: 45% iPhone/Watch coverage (21 of 47 types)

v2.0 - Mental Health Integration (3-4 weeks)

  • State of Mind tracking (iOS 18 feature)
  • Anxiety/Depression symptom logging
  • Mood correlation charts (mood vs. sleep, exercise, heart rate)
  • Water and Caffeine intake tracking
  • Impact: Major competitive differentiator, holistic wellness dashboard

✨ Conclusion

MVP Status: Ready for Launch

Health Visualizer MVP successfully delivers on its core value proposition:

  • ✅ Visualize 15 key health metrics with beautiful charts
  • ✅ Export data in 4 formats (CSV, XLSX, PNG, PDF)
  • ✅ Support custom date ranges with intuitive calendar picker
  • ✅ Provide smooth UX with horizontal scrolling for long ranges
  • ✅ Achieve 41% coverage of iPhone/Watch auto-tracked data types

❤️ Built with SwiftUI & HealthKit

Health Visualizer - Empowering users to understand their health data

© Hossam Khalaf.