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restaurant-data

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Exploratory Data Analysis (EDA) on Bengaluru restaurant data to uncover insights into ratings, cuisines, cost, location, and dining trends. Built using Python, Pandas, Seaborn, and Matplotlib to understand customer behavior and food business patterns.

  • Updated Jul 8, 2025
  • Jupyter Notebook

A SQL-driven project that integrates menu and order data to reveal insights on dish performance, customer preferences, and spending trends. It informs pricing strategies, menu adjustments, and targeted promotions, ultimately enhancing the overall customer experience and driving business growth.

  • Updated Mar 27, 2025

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