Project Title: Swiggy Restaurant Analysis and Insights

Business Objective: To analyze the Swiggy dataset and gain valuable insights into restaurant ratings, cuisines, menu categories, pricing, and other relevant factors to drive data-informed business decisions and enhance customer experience.

Approach: The approach involves exploring the dataset to understand its structure and variables, performing statistical calculations and aggregations, utilizing SQL queries with aggregations, joins, and window functions to extract meaningful information, applying filters and sorting to identify top-performing restaurants and popular cuisines, and presenting the findings through visualizations for effective communication.

Tools and Techniques Used: SQL queries, data exploration, statistical analysis, aggregations, joins, window functions, filtering, sorting, visualization techniques.

Thanks To @CloudyML

Reference : https://www.youtube.com/watch?v=3Gptq4VYEW4