This project scrapes and analyzes TSA passenger volume data from 2019 to present.

• Scrapes TSA passenger volume data from TSA.gov
• Handles both historical and current year data
• Creates CSV files for each year
• Generates visualizations of the data

• Python 3.8+
• Required packages listed in requirements.txt

pip install -r requirements.txt

1. Scrape TSA data:

python tsa_scraper.py

This will create CSV files for each year (e.g., tsa_passengers_2024.csv)

2. Generate visualizations:

python tsa_visualizer.py

This will create three visualization files:

• tsa_daily_trends.png: Daily passenger volume trends
• tsa_monthly_averages.png: Monthly average passenger volumes
• tsa_weekly_patterns.png: Weekly patterns of passenger volume

Each CSV file contains:

• Date: The date of the passenger count
• Passengers: Number of passengers screened by TSA

• The scraper automatically handles the current year's data differently
• Visualizations are saved as PNG files in the current directory
• The script updates existing CSV files with new data when run multiple times