Car Sales Data Engineering Analytics

Car Sales Data Engineering & Analytics

Skill by ara.so — Data Skills collection.

A comprehensive data engineering and analytics framework for processing ~24K car sales records with ETL pipelines, statistical modeling, and interactive Streamlit dashboards. Provides 15 pre-built analyses covering pricing trends, regional patterns, demographic insights, and feature correlations.

Installation

This project uses uv for package management:

# Clone the repository
git clone https://github.com/Abdumalik-ProDev/Car-Sales-Data-Engineering.git
cd Car-Sales-Data-Engineering

# Install dependencies
uv sync

Dependencies: Python 3.10+, pandas, numpy, matplotlib, scipy, streamlit

Quick Start

Launch Interactive Dashboard

# Start Streamlit web UI
uv run streamlit run src/ui.py

# Alternative via entry point
uv run python -m src.main

Run Full Pipeline

# Execute all 15 analyses and generate figures
uv run python -m src.main --pipeline

This will:

• Load and clean data/Car sales.csv
• Generate outputs/cleaned_data.csv
• Create 15 PNG charts in outputs/figures/

Core Module: src/analysis.py