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Interactive data science project that analyzes and compares grocery prices across Karachi stores using Python, EDA, and Linear Regression, with a Streamlit dashboard for visualizing price trends and store-wise comparisons.
This project analyzes pricing patterns and trends in the grocery and FMCG sectors using SQL and Python. It provides insights through data visualization and interactive dashboards to track market dynamics.