🍽️ Restaurant Ratings Analysis 📌 Project Overview
This project analyzes restaurant ratings using real-world datasets of consumers, restaurants, cuisines, and preferences. The goal is to uncover insights into:
Consumer behavior & dining preferences
Popular cuisines and restaurants
Rating distribution and trends
Data-driven recommendations for restaurant businesses
A Power BI dashboard (Restaurant Ratings Analysis.pbix) has been created to visualize these insights interactively.
📂 Project Structure Restaurant-ratings-analysis-main/ │── Datasets/ │ ├── consumer_preferences.csv │ ├── consumers.csv │ ├── data_dictionary.csv │ ├── ratings.csv │ ├── restaurant_cuisines.csv │ ├── restaurants.csv │── Restaurant Ratings Analysis.pbix │── README.md
📊 Datasets
The datasets include information about customers, restaurants, cuisines, and ratings:
consumers.csv → Consumer demographics
restaurants.csv → Restaurant details
restaurant_cuisines.csv → Cuisines served by restaurants
ratings.csv → User ratings for restaurants
consumer_preferences.csv → Consumers’ cuisine preferences
data_dictionary.csv → Description of all fields
🚀 How to Use
Clone this repository:
git clone https://github.com/KaniskaEr/Restaurant_Rating_Analysis_project.git cd Restaurant_Rating_Analysis_project-main
Open Restaurant Ratings Analysis.pbix in Power BI Desktop .
Load the datasets (CSV files are included in the Datasets folder).
Explore interactive dashboards and insights.
📈 Key Insights (from Dashboard)
Distribution of ratings across different restaurants.
Most preferred cuisines by consumers.
Demographic factors influencing restaurant choices.
Restaurant performance analysis based on ratings and customer feedback.
🛠️ Tools & Technologies
Power BI → Interactive data visualization
CSV datasets → Structured restaurant data
Data Cleaning & Transformation → Handled within Power BI
📌 Future Enhancements
Add predictive modeling for restaurant ratings using Python.
Deploy an interactive web dashboard version.
Incorporate sentiment analysis from restaurant reviews.