This project is a data visualization dashboard that analyzes historical trends in automobile sales, specifically focusing on the impact during recession periods. The dashboard provides insights into how the sales of XYZAutomotives, a fictional automotive company, were affected during times of economic downturns.
- Python
- Jupyter Notebooks
- Matplotlib
- Seaborn
- Folium
- Dash (a web application framework)
- Plotly (for interactive data visualization)
- Pandas (for data manipulation and analysis)
- Created an interactive dashboard to visualize and analyze automobile sales data.
- Implemented dynamic features, allowing users to explore yearly and recession period statistics.
- Developed data visualizations, including line charts, bar charts, and pie charts, to convey insights effectively.
- Data Visualization
- Web Application Development
- Python Programming
- Data Analysis
- Dash and Plotly Frameworks
- Implemented a user-friendly interface for exploring and understanding automobile sales data.
- Incorporated dynamic filtering based on report types and years, enhancing user experience.
- Utilized Plotly and Dash to create visually appealing and informative charts.
This repository showcases my skills in data visualization, web application development, and data analysis. It serves as a demonstration of my ability to create interactive dashboards for exploring and interpreting complex datasets. The project provides valuable insights into the factors influencing automobile sales, with a specific focus on recession periods.
Feel free to explore the dashboard and provide feedback!
