SpaceX-Falcon-Landing-Analysis

🛰️ SpaceX Falcon 9 Landing Analysis

Analyze SpaceX Falcon 9 missions using survival analysis, geospatial maps, and EDA to uncover factors behind successful landings.

🚀 Highlights

• Fetched real-time data via SpaceX public API
• Flattened nested JSON (e.g., cores, rockets, launchpads)
• Rule-Based Landing Success Estimator to predict landing success rate using mission parameters — implemented directly in the notebook
• Kaplan-Meier survival curve using lifelines
• Interactive launch site map with folium
• Visualized booster reuse, landing types, and flight experience

🛠️ Tech Stack

• Python, Pandas, Matplotlib, Seaborn
• Lifelines, Folium, Requests
• Jupyter Notebook

📊 Sample Visuals

Kaplan-Meier Survival Curve

Launchpad Map