The Electric Car Analysis project aims to provide comprehensive insights into electric vehicles (EVs) by analyzing various datasets. It focuses on understanding market trends, vehicle performance, energy consumption, and environmental impact. This repository is designed to serve as a resource for researchers, enthusiasts, and decision-makers exploring the electric vehicle industry.
- Data Analysis: Gain insights into EV performance, energy efficiency, and market trends.
- Visualization: Interactive charts and graphs for better understanding.
- Comparative Analysis: Compare EV models based on price, range, and energy consumption.
- Environmental Impact: Assess CO2 emission reductions achieved by EV adoption.
Ensure you have the following installed:
- Python 3.8 or higher
- Key libraries:
pandas,numpy,matplotlib,seaborn
- Clone the repository:
git clone https://github.com/NASO7Y/Electric-Car-Analysis.git
- Navigate to the project directory:
cd Electric-Car-Analysis - Install the required dependencies:
pip install -r requirements.txt
- Run the analysis scripts:
python scripts/analysis.py
- View results in the
results/directory. - Explore visualizations in the
visualizations/directory.
Key findings from the analysis include:
- Trends in EV market growth.
- Comparison of EV models based on efficiency and cost.
- Insights into the environmental benefits of EV adoption.
Contributions are welcome! Please follow these steps:
- Fork the repository.
- Create a new branch for your feature.
- Commit your changes and submit a pull request.
For questions or feedback, feel free to open an issue or reach out to NASO7Y.
Email: ahmed.noshy2004@gmail.com
LinkedIn: LinkedIn