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restaurant-data-analysis

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This project focuses on exploratory data analysis of restaurant data to uncover insights related to ratings, restaurant chains, cuisines, and geographical distribution. The analysis is performed using Python and data visualization techniques to understand customer preferences and restaurant performance.

  • Updated Feb 1, 2026
  • Jupyter Notebook

Performed EDA in Python and built Tableau dashboards to analyze customer ratings, cuisine trends, costs, and the impact of delivery/booking services. Key insights include customer ratings, cost distribution, and service impact.

  • Updated Oct 1, 2025

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