📌 Overview
The Electric Vehicle Data Analysis Dashboard is a Tableau-based interactive visualization project that analyzes electric vehicle registration data across multiple dimensions. The goal of this project is to uncover adoption trends, market leaders, geographic distribution, and policy eligibility insights related to electric vehicles.
📊 Dashboard Preview
📊 Key Metrics Displayed
Total Vehicles Analyzed: 150,411
Battery Electric Vehicles (BEV): 116,741 (77.61%)
Plug-in Hybrid Electric Vehicles (PHEV): 33,670 (22.39%)
Average Electric Range: 67.83 miles
📈 Dashboard Features
📅 Vehicles by Model Year – Track EV growth trends from 2010 to 2025
🗺️ Vehicles by State – Interactive map showing state-wise EV distribution
🚗 Vehicles by Make & Model – Identify top manufacturers and popular models
⚡ BEV vs PHEV Analysis – Comparison of electric vehicle types
♻️ CAFV Eligibility Analysis – Clean Alternative Fuel Vehicle eligibility breakdown
🎛️ Dynamic Filters
Model Year
State
Vehicle Type
Manufacturer
CAFV Eligibility
🏆 Key Insights
Tesla dominates the EV market with over 54% of total vehicles
BEVs significantly outnumber PHEVs, indicating a strong shift toward fully electric vehicles
EV adoption has accelerated rapidly after 2018
A large portion of vehicles are CAFV eligible or pending eligibility, reflecting policy impact
Certain states show high EV concentration, driven by infrastructure and incentives
🛠️ Tools & Technologies Used
Tableau – Dashboard creation and data visualization
Microsoft Excel / CSV – Data preprocessing
Mapbox & OpenStreetMap – Geospatial visualization
📂 Project Files
Electric_Vehicle_Dashboard.twbx – Tableau packaged workbook
EV_Data.csv – Raw dataset used for analysis
Dashboard.pdf – Dashboard preview/export
README.md – Project documentation
🚀 How to Use
Download the .twbx file
Open it using Tableau Desktop or Tableau Public
Use the interactive filters to explore trends and insights
🎯 Use Cases
EV market trend analysis
Policy and CAFV eligibility evaluation
Manufacturer and model performance comparison
Academic and portfolio projects
📌 Future Enhancements
Time-series forecasting of EV adoption
Charging infrastructure analysis
Cost vs range comparison
Integration with real-time EV datasets