An analytics project focused on exploring Electric Vehicle market trends, sales growth, manufacturer performance, and adoption patterns using Python and Power BI.
This project analyzes EV market data to understand industry growth and consumer adoption trends.
Key objectives:
- Analyze EV sales growth
- Compare manufacturer performance
- Study regional EV adoption
- Visualize revenue trends
- Explore market insights
- Python
- Pandas
- Power BI
- Matplotlib
- Seaborn
EV-Market-Analysis/
│
├── data/
│ ├── ev_dataset.csv
│ └── cleaned_ev_data.csv
│
├── dashboard/
│ └── ev_dashboard.pbix
│
└── README.mdflowchart LR
A[Raw EV Dataset] --> B[Data Cleaning]
B --> C[Sales Analysis]
C --> D[Manufacturer Analysis]
D --> E[Dashboard Visualization]
E --> F[Business Insights]
- EV sales trend analysis
- Brand performance comparison
- Adoption growth analysis
- Revenue trend visualization
- Regional market comparison
Generated insights useful for:
- EV market understanding
- Business decision-making
- Sales performance tracking
- Dashboard analytics
- Predictive analytics
- Real-time dashboard integration
- Advanced market forecasting
This project is created only for educational and analytical purposes.
Plagiarism is strictly prohibited.
⭐ If you found this project helpful, consider giving it a star!