Interactive dashboard built with Python + Streamlit to explore and analyze a dataset of vehicle listings.
The project focuses on exploratory data analysis (EDA), data cleaning, and visualization to identify pricing trends and relationships between vehicle features.
- Cleans and prepares raw vehicle listing data.
- Explores distributions of price, model year, mileage, and condition.
- Visualizes relationships between variables using interactive charts.
- Allows users to explore insights dynamically through a Streamlit app.
- Python
- pandas
- numpy
- plotly
- Streamlit
git clone https://github.com/yasersoriano/streamlit_test.git
cd streamlit_test
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
streamlit run app.py