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🗺 Optimized Routes: Mar-a-Lago to Trump Tower

📌 Introduction

This project provides a geographic analysis and visualization of optimized routes between Mar-a-Lago and Trump Tower. By leveraging geographic data and interactive mapping tools, various routes are examined, and the distance of each is displayed through engaging maps.

🎯 Features

✅ Display of three different routes between Mar-a-Lago and Trump Tower
✅ Calculation of each route’s distance in miles
✅ Use of Folium to create interactive maps
✅ Geographic data analysis with GeoPy

🔧 Installation & Requirements

To run this project, you’ll need to install the following packages:

pip install folium geopy  

Then, run the Jupyter Notebook file:

jupyter notebook optimized-routes-mar-a-lago-to-trump-tower.ipynb  

🗺 Technologies Used

  • Folium 📍 for interactive map visualization
  • GeoPy 🌍 for geographic distance calculations
  • Jupyter Notebook 📜 for running the analysis and displaying results

💡 How It Works

  1. A base map is created and centered between the two main locations.
  2. Different routes between the two points are calculated and plotted on the map.
  3. Data analysis includes displaying the distances for each route.

📬 Contact

  • If you have suggestions for improving the project, please submit a Pull Request.
  • To report issues, please open an Issue.

About

This project showcases the most efficient routes between Mar-a-Lago in Florida and Trump Tower in New York. By leveraging geographic data analysis and interactive maps, the distances of these routes are calculated and presented in a visually intuitive manner.

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