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Step into the future of transportation with our cutting-edge Global EV Analysis project! This interactive web application is designed for enthusiasts, researchers, and policymakers alike, providing deep insights into the electric vehicle (EV) market worldwide.

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koke3/Global_EV_Analysis_streamlit

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Global EV Analysis Streamlit

Comprehensive analysis of global electric vehicle data using Streamlit

This project aims to provide in-depth insights into the global electric vehicle market. Leveraging Streamlit, we've built an interactive web application offering valuable insights into market trends, manufacturer performance, and charging station distribution.

Features:

  • Interactive dashboard for data exploration.
  • Heatmaps visualizing EV and charging station distribution.
  • Comparative analysis of various manufacturers.
  • Predictive modeling for future EV market growth.

Installation:

  1. Install Python and pip.
  2. Clone the repository: git clone https://github.com/koke3/Global_EV_Analysis_streamlit.git
  3. Install requirements: pip install -r requirements.txt
  4. Run the app: streamlit run ev_dashboard.py

Contributing: Contributions are welcome! Please refer to the contributing guidelines for more information.

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Step into the future of transportation with our cutting-edge Global EV Analysis project! This interactive web application is designed for enthusiasts, researchers, and policymakers alike, providing deep insights into the electric vehicle (EV) market worldwide.

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