In this project, I investigates global restaurant trends using the Zomato dataset, with a focus on identifying popular cuisines, rating patterns, cost-effectiveness, and regional concentration of restaurants. The objective is to uncover key business and customer insights from the dataset and present them visually and analytically.
With the increasing demand for restaurant discovery platforms, there is a growing need to help food enthusiasts find the best, most cost-effective, and highest-rated places to dine. This analysis leverages Zomato's data to:
- Identify the most popular cuisines in India and other countries
- Discover the top-rated and value-for-money restaurants
- Analyze the geographical concentration and global presence of restaurants
- Evaluate delivery services and their impact on ratings
- Suggest business opportunities for Zomato based on the data
The analysis is based on two CSV files:
- zomato.csv: Includes restaurant-specific data like name, cuisine, rating, delivery options, etc.
- country_Code.csv: Maps country codes to their names for geographical analysis.
- India dominates the dataset, contributing the majority of entries, with New Delhi alone accounting for ~68% of Indian listings.
- North Indian cuisine is the most commonly offered, followed by Chinese, Fast Food, and Mughlai, highlighting a strong regional preference for rich, spicy, and familiar flavors.
- The Philippines, Turkey, and Indonesia feature the highest average restaurant ratings, whereas India ranks relatively lower, pointing to possible regional satisfaction gaps or rating patterns.
- Online delivery is available across many restaurants, yet not all highly-rated establishments offer it. However, restaurants like Zolocrust and Caterspoint prove that quality and convenience can go hand-in-hand.
- Naturals Ice Cream stands out with a perfect 5.0 rating, reflecting excellent customer satisfaction.
- No strong correlation exists between the number of votes and overall ratings, suggesting that popularity doesn’t always mean better quality.
- A subset of restaurants in Indian cities offers high ratings at low cost, representing the best value-for-money options.
- Promote underrated gems: Highlight high-rated restaurants with fewer votes to improve their visibility.
- Expand online delivery offerings: Encourage high-quality restaurants without delivery services to adopt online models.
- Focus on high-rating countries: Explore business expansion or marketing in countries like Turkey and the Philippines.
- Highlight value-driven dining: Use "Value for Money" badges to recommend restaurants offering quality at affordable prices.
- Improve quality in saturated markets: Regular audits or incentive programs could be useful in overrepresented yet underperforming regions like New Delhi.