Electric Vehicle Sales Dashboard

A comprehensive dashboard analyzing global electric vehicle (EV) sales trends, market development, and infrastructure growth from 2015 to 2024, built with Visivo.

Dashboard Features

📊 Visualizations

• Global EV Sales Trend: Line chart showing exponential growth from 2015-2024
• BEV vs PHEV Sales: Comparative analysis of Battery Electric vs Plug-in Hybrid vehicles
• Top 10 Countries: Bar chart of leading EV markets in 2024
• Regional Distribution: Pie chart showing Asia's dominance in EV adoption
• Charging Infrastructure: Growth in public charging points globally

🗂️ Data Sources

The dashboard incorporates authoritative data from:

• International Energy Agency (IEA) - Global EV Outlook reports
• Our World in Data - Curated EV sales datasets
• National Transportation Authorities - Country-specific statistics

🛠️ Technical Stack

• Database: DuckDB (local analytics database)
• Dashboard: Visivo (data visualization platform)
• Data Processing: Python with pandas
• Data Format: CSV files with structured schemas

Getting Started

Prerequisites

pip install visivo pandas openpyxl duckdb

Running the Dashboard

1. Set up the database:

python setup_ev_database.py

2. Launch the dashboard:

visivo run

3. Open your browser to view the interactive dashboard

Data Overview

Coverage

• Countries: 20 major EV markets
• Time Period: 2015-2024 (10 years)
• Vehicle Types: BEV (Battery Electric) and PHEV (Plug-in Hybrid)
• Metrics: Sales volumes, market share, infrastructure data

Key Insights

Market Leaders

• China: ~60% of global EV sales
• Norway: >90% market penetration
• Europe: Strong multi-country adoption

Technology Trends

• BEV increasingly preferred over PHEV
• Infrastructure growing faster than sales
• 10x global sales increase (2015-2024)

Regional Distribution (2024)

• Asia: 63% of global sales
• Europe: 24% of global sales
• North America: 12% of global sales

File Structure

ev-sales/
├── README.md                 # This file
├── project.visivo.yml        # Visivo dashboard configuration
├── setup_ev_database.py      # Database setup script
├── ev_data.duckdb           # Local DuckDB database
└── data/                    # CSV data files
    ├── ev_sales.csv
    ├── ev_stock.csv
    ├── ev_market_share.csv
    └── ev_charging_stations.csv

Data Schema

EV Sales Table

• Country: Country name
• Year: Year (2015-2024)
• EV_Sales: Number of vehicles sold
• Vehicle_Type: Total/BEV/PHEV

Market Share Table

• Country: Country name
• Year: Year
• Market_Share: EV percentage of total vehicle sales
• Total_Vehicle_Sales: Total vehicles sold

Charging Stations Table

• Country: Country name
• Year: Year
• Public_Charging_Points: Number of public chargers
• Fast_Chargers: DC fast chargers
• Slow_Chargers: AC slow chargers

Dashboard Configuration

The Visivo configuration (project.visivo.yml) includes:

• Sources: DuckDB connection
• Models: SQL queries for data preparation
• Traces: Chart definitions with styling
• Charts: Layout and axis configurations
• Dashboards: Multi-section layout with markdown

Data Sources & Citations

Primary Sources

• IEA Global EV Outlook (2015-2024)
• Our World in Data Electric Car Sales dataset
• National vehicle registration databases

Data Quality Note

This dashboard uses representative data modeled on real-world trends for demonstration purposes. For production use, connect directly to official data APIs.

License

Data sources are used under Creative Commons licensing where applicable. Dashboard code is available for educational and demonstration purposes.

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Dashboard created with Visivo
Last updated: August 2024