Maritime Port Performance Analysis (2022–2023)

Maritime Port Performance Analysis (2022–2023)

📖 Overview:

This project investigates global maritime port performance metrics across different vessel types from 2022 to 2023 using UNCTAD statistics. It explores factors like vessel age, gross tonnage, cargo capacity, and median time spent in ports — highlighting patterns across vessel types and periods.

Tools Used: Pandas, Matplotlib, Seaborn, Streamlit, Excel, Kaggle
Project Type: Exploratory Data Analysis & Dashboard
Data Source: UNCTADstat

📊 Key Insights:

• Strong correlations exist between vessel size and cargo capacity.

• LNG and container ships spent less time in ports than bulk carriers.

• Vessel size and age show consistency within vessel categories.
  
  

🧭 Deliverables:

✅ Exploratory Data Analysis & correlation insights

✅ Interactive Streamlit Dashboard

✅ Kaggle Dataset & Notebook

🔮 Future Work

• Incorporate clustering or unsupervised learning to group ports or vessels by performance metrics.

• Compare port performance across regions to highlight strategic shipping routes.

• Integrate weather or congestion data to explain delays and port time variability.

• Automate monthly updates using real-time maritime APIs (e.g., MarineTraffic or AIS data).

🌍 Live Links:

• 🔗 Streamlit Dashboard

• 📂 Kaggle Dataset

• 📒 Kaggle Notebook

• 💻 GitHub Repository