This project analyzes the distribution and adoption rates of electric and alternative fuel vehicles across U.S. states. The dataset contains vehicle registration counts for multiple fuel types (EV, PHEV, HEV, gasoline, diesel, etc.) by state. I analyzed vehicle registration data from 51 states using python and visualized the key findings.
- To examine the distributions of different electric vehicles
- To identify the states with highest EV adoption rates
- To find the significate alternative fuels
- To make some recommendations on EV infrastructure investment policies
- Python: Pandas, seaborn, matplotlib
Data Loading and Cleaning
Raw data was imported into a Jupyter notebook using pandas. Subsequently, all column headers were renamed to reflect the initial letter of each fuel type’s full name. Converted all the data types of values to integer.
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The top 5 states with the highest EV adoption rate are California(3.41%), District of Columbia(2.60%), Hawaii(2.37%), Washington(2.23%), Nevada(1.85%).
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California has higher EV adoption than Florida(1.37%), New York(1.16%), Texas(0.89%).
- Among the alternative fuels, ethanol has meaningful presence(20240600), compared to Biodiesel(2803600) and Hydrogen(16900).
- This analysis confirms that gasoline still dominates the U.S. automotive market (about 84.4%), but there is a clear regional stratification in the field of electrification. Market leaders: states such as California (3.41%) have reached maturity and now require investments to ensure network reliability and densification. Growth opportunities: The states with the largest volume of investments, especially Texas (0.90%), have the largest gap in penetration, making them the most important sites for growth-oriented infrastructure.
- Analyst Builder for the datasets and the directions for the analysis.
📬 Contact If you'd like to connect, collaborate, or discuss this project further:
📧 Email: felix.xuhaixin@gmail.com
🧠 GitHub Profile: Felix Xu