This repository contains a Car Data Analysis Dashboard built to explore insights and trends in car sales, model preferences, and fuel types across the automotive industry. The project includes interactive data visualizations, a comprehensive report, and a presentation that demonstrate the power of data analytics using tools like Power BI and Python.
The dashboard presents key findings such as:
- Top Seller Brand: Volkswagen, with 42 top-selling models.
- Most Popular Car: BMW 520s.
- Preferred Fuel Type: Gasoline, supported by over 965 models.
- Most Expensive Car: $50,000 was the highest price for a commercial model.
- Total Models Available: 1,105 models were available in the U.S. by 2019.
- Interactive Dashboards: Visualize car data with bar graphs, pie charts, area plots, and more.
- Tools Used: Power BI for interactive visualizations, Python (Pandas, Matplotlib, Seaborn) for data analysis, and Tableau for dashboard creation.
- Comprehensive Analysis: Detailed insights into market demand, model count, fuel preferences, and more.
- Clone this repository:
git clone https://github.com/Mayborg121/Car_DataAnalysis_Dashboard.git
- View the Power BI Dashboard online: Power BI Dashboard
- Open the Python notebooks to explore data processing and visualization.
- Presentation PDF
- Report PDF
- Project Folder on Google Drive
- Power BI: For interactive dashboard creation.
- Python: Used for data manipulation and analysis with libraries like Pandas and Matplotlib.
- Tableau: For additional visualizations.
This project is open-source and available under the MIT License.
This README outlines the key features, tools, and usage instructions for your Car Data Analysis Dashboard project, ensuring users can easily access and explore the data and resources.
Presentation PDF : CDA Presentation PDF.pdf Report PDF : Car Data Analysis Report.pdf DRIVE Folder : https://drive.google.com/drive/folders/1XuJvwWx2dHc8vPEcNj69LvxAT8j8lfdt?usp=sharing
