Data-Driven Insights for the Food Industry

📌 Overview

As part of my Data Analysis internship, I conducted an in-depth analysis of restaurant business data to uncover meaningful insights. This project encompassed a wide range of analytical tasks, including cuisine popularity trends, city-wise restaurant performance, pricing patterns, the impact of online delivery, and customer rating dynamics.

🔍 Analysis Breakdown

Level 1: Basic Analysis (GitHub Link)

• Identifying top cuisines.
• Analyzing city-wise restaurant distribution and ratings.
• Visualizing price range distributions.
• Examining online delivery trends.

Level 2: Intermediate Analysis (GitHub Link)

• Understanding restaurant rating distributions.
• Finding common cuisine combinations.
• Conducting geographic analysis of restaurant locations.
• Evaluating restaurant chain performance.

Level 3: Advanced Analysis (GitHub Link)

• Sentiment analysis of restaurant reviews.
• Correlation between votes and ratings.
• Impact of price range on online delivery and table booking.

📊 Dataset Information

The dataset used for this project contains restaurant data, including:

• Restaurant names and locations
• Cuisines served
• Price ranges and cost for two
• Ratings, votes, and reviews
• Online delivery and table booking availability

Source: Kaggle - Restaurant Data

📂 Presentation

For a detailed understanding of the analysis, refer to the PowerPoint presentation: PPT File

📸 Power BI Screenshots

The following screenshots showcase the Power BI dashboards used for data analysis:

• Overviews
• Levels & Tasks
• Level - 1
• Level - 2
• Level - 3

💻 Technology:

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• OS used for testing:

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🏛️ Repository Structure

Restaurant-Performance-Analysis/
│── README.md
│── LICENSE
│── datasets/
│── notebooks/
│── dashboards/
│── reports/
│── Level_1/
│   ├── README.md
│   ├── Top_Cuisines.ipynb
│   ├── City_Analysis.ipynb
│   ├── Price_Range_Distribution.ipynb
│   ├── Online_Delivery.ipynb
│── Level_2/
│   ├── README.md
│   ├── Restaurant_Ratings.ipynb
│   ├── Cuisine_Combination.ipynb
│   ├── Geographic_Analysis.ipynb
│   ├── Restaurant_Chains.ipynb
│── Level_3/
│   ├── README.md
│   ├── Restaurant_Reviews.ipynb
│   ├── Votes_Analysis.ipynb
│   ├── Price_Range_vs_Services.ipynb
│── PowerBI_Screenshots/
│   ├── dashboard.png
│   ├── report.png
│   ├── insights.png
│── scripts/
│── docs/

🛠️ Installation

Clone the repository:

git clone https://github.com/Parthadee/Food-Industry-Analyze.git
cd Food-Industry-Analyze

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.