Scenario: You are a data analyst at a leading restaurant review aggregator company, similar to Zomato. The company has collected extensive data on restaurants across various cities worldwide, aiming to enhance customer experience and support restaurants in improving their services. The data contains information on restaurant names, locations, cuisines offered, ratings, price ranges, and more.

In recent months, the company has noticed a decline in user engagement and feedback on its platform, potentially threatening its position in the market. The executive team believes that by analyzing the restaurant data, the company can uncover insights to tailor the user experience more personally, promote high-quality restaurants, and possibly introduce a new feature that could revitalize user interest and participation.

Problem Statement

The challenge is to analyze the dataset to identify trends, preferences, and areas of improvement that can enhance the overall user experience on the platform. Specifically, the goal is to understand how different factors such as cuisine, location, price range, and ratings influence user choices and satisfaction.