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Project Overview

The Vehicle Market Analysis Dashboard is an interactive platform that provides insights into vehicle sales trends, pricing dynamics, and statistical correlations between price and key attributes such as odometer readings, transmission type, and condition.

Technology: Streamlit, Python, Pandas, Seaborn, Matplotlib

Data Sources: API (Vehicle Prices & Models), Kaggle Dataset

Key Features

  • Analyze best-selling brands, models, and body types.
  • Study pricing distributions and seasonal trends.
  • Explore the relationship between price and key factors.
  • Visualize trends with interactive data visualizations.

Project Structure

Proj1Streamlit/
│── app/
│   │── model.py (Fleet Forecasting)
│   │── data_handler.py (Data Retrieval)
│   │── utils.py (Helper Functions)
│── main.py (Streamlit UI)
│── requirements.txt (Dependencies)
│── README.md (Documentation)

Key Insights

  • Sales Trends: Best-selling brands/models & historical analysis.
  • Price Distribution: Seasonal pricing trends & category-based variations.
  • Statistical Correlations: How odometer, transmission, and color impact prices.

Project Link

Project on GitHub