A Streamlit web app for exploring US used-car listings (vehicles_us.csv): how prices are distributed and how they relate to
condition, drivetrain and mileage. Built for TripleTen's Sprint 4 (software development tools).
Live app: https://tripleten-project-sprint-4.onrender.com (free hosting; the first load can take up to a minute while the server wakes up)
- Price distribution: how many cars are listed at each price, with a toggle to color the bars by count.
- Condition: the number of cars in each listed condition.
- Four-wheel drive: price histograms for 4wd, not 4wd, or both overlaid (two toggles).
- Odometer: two charts side by side, the number of cars and the total listed price per odometer reading.
The exploratory analysis behind the app is in Notebooks/EDA.ipynb.
pip install -r requirements.txt
streamlit run app.py
Then open http://localhost:10000 (the port is set in .streamlit/config.toml).
Python, pandas, Plotly, Streamlit; deployed on Render.