Overview:
This project investigates the latest trends in global electric vehicle (EV) sales, focusing on market growth, regional adoption, and key factors influencing the electric mobility sector. The analysis covers sales data, market dynamics, and adoption rates to provide comprehensive insights into the current state and future projections of the electric vehicle industry.
Key Features:
-
Data Analysis: In-depth examination of global EV sales data, including regional trends, market growth rates, and sales volumes.
-
Data Visualization: A range of visualizations such as charts and graphs to illustrate key trends, patterns, and market dynamics.
-
Insights: Identification of emerging trends, market leaders, and regional variations in EV adoption.
Installation and Usage:
-
Clone the repository:
git clone https://github.com/yourusername/global-ev-sales-analysis.git -
Navigate to the project directory:
cd global-ev-sales-analysis -
Install the required dependencies:
pip install -r requirements.txt -
Run the Jupyter notebook or Python script:
jupyter notebook ev_sales_analysis.ipynb
or
python analysis.py
Dependencies:
- Python 3.x
- Jupyter Notebook
- Pandas
- Matplotlib
- Seaborn
- NumPy
Dataset:
The dataset includes global electric vehicle sales data, detailing sales figures, regional adoption rates, and market growth metrics. It provides essential insights into the evolving EV market and its future trends.
Dataset Link: https://www.kaggle.com/datasets/patricklford/global-ev-sales-2010-2024
Uploaded Date: 9/8/2024
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Waqar Ali