README.md

Test Data Directory

This directory contains all test data files used by the Funnel Analytics Platform test suite.

📁 File Organization

Performance Test Data

• test_50k.csv - Medium dataset with 50,000 events for performance testing
• test_200k.csv - Large dataset with 200,000 events for scalability testing

Demo & Sample Data

• demo_events.csv - Demo events used in the main application interface
• sample_events.csv - Sample event data for testing basic scenarios
• sample_funnel.csv - Sample funnel data for validation

Analysis Test Data

• ab_test_data.csv - A/B test scenario data
• ab_test_rates.csv - A/B test conversion rates
• segment_data.csv - User segmentation test data
• time_series_data.csv - Time-based analysis test data
• time_to_convert_stats.csv - Conversion timing analysis data

🔧 Usage in Tests

All test files should reference data files using relative paths from the project root:

# ✅ Correct usage
df = pd.read_csv('test_data/demo_events.csv')

# ❌ Incorrect - old path
df = pd.read_csv('demo_events.csv')

📊 Data Format Standards

All CSV files follow the standard event schema:

user_id,event_name,timestamp,event_properties,user_properties

🧪 Test Data Generation

For programmatic test data generation, use the fixtures in tests/conftest.py:

• small_linear_funnel_data - Small dataset (100 users)
• medium_linear_funnel_data - Medium dataset (1000 users)
• large_dataset - Large dataset (10000+ users)

📏 Performance Benchmarks

File	Events	Users	Purpose
test_50k.csv	50,000	~5,000	Medium performance testing
test_200k.csv	200,000	~20,000	Large scale performance testing

🔄 Maintenance

When adding new test data files:

1. Place in this test_data/ directory
2. Update this README.md
3. Use appropriate naming convention: test_<purpose>_<size>.csv
4. Update any tests to use test_data/ prefix