This project delves into the US vehicle market, culminating in an application hosted on Streamlit via Render. It leverages libraries such as Plotly, Pandas, and Streamlit. Here's a breakdown of its components:
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Dataset Investigation and Data Preprocessing: This segment involves a brief exploration of the 'vehicles_us.csv' dataset, encompassing tasks like handling missing values and eliminating duplicates. Details can be found in the EDA.ipynb file.
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Price Slider Creation: Users can utilize a slider to select their desired price range for vehicles.
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Age Checkbox: A checkbox feature allows users to filter out cars older than 10 years.
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Scatterplot Visualization: This displays a scatterplot depicting the relationship between price and condition.
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Model Average Price Histogram: A histogram showcasing the average price distribution across different vehicle models.
Conclusion: The project concludes with insights drawn from the analysis.
project link: https://sdt-project-sysm.onrender.com