https://github.com/risdorn/restaurant-delivery-platforms-analysis-bdm-project

This project analyzes restaurant delivery platforms to understand customer preferences, industry competition, and expansion opportunities. Conducted as part of the BDM project from IITM, it includes descriptive stats, distribution, correlation, regression, and geospatial analysis using multiple datasets.
https://github.com/risdorn/restaurant-delivery-platforms-analysis-bdm-project

data-analysis data-visualization jupyter-notebook kaggle

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This project analyzes restaurant delivery platforms to understand customer preferences, industry competition, and expansion opportunities. Conducted as part of the BDM project from IITM, it includes descriptive stats, distribution, correlation, regression, and geospatial analysis using multiple datasets.

• Host: GitHub
• URL: https://github.com/risdorn/restaurant-delivery-platforms-analysis-bdm-project
• Owner: Risdorn
• License: mit
• Created: 2024-09-14T19:31:57.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-14T19:46:00.000Z (about 2 months ago)
• Last Synced: 2024-10-16T19:56:21.739Z (23 days ago)
• Topics: data-analysis, data-visualization, jupyter-notebook, kaggle
• Language: Jupyter Notebook
• Homepage:
• Size: 1.59 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# A Data-Driven Analysis of Restaurant Delivery Platforms

> **Grade Letter: D**

This project was completed as part of the Business Data Management course. I chose the secondary approach for this project, which is why the maximum possible grade is a D in this approach. The project involved analyzing datasets to investigate various aspects of the restaurant delivery industry.

This project was developed as part of the Business Data Management (BDM) project from IITM. It focuses on analyzing restaurant delivery platforms to uncover valuable insights into customer preferences, competitive dynamics, and strategic opportunities for restaurant expansion.

## Problem Statements

1. Investigating the Impact of Cuisine Type on Customer Preferences

2. Assessing the Competitive Dynamics of the Restaurant Industry

3. Identifying Strategic Opportunities for Restaurant Expansion

## Data Sources

The analysis uses the following datasets:

- [Swiggy Restaurant and Item Full Dataset](https://www.kaggle.com/datasets/lokeshparab/swiggy-restraurant-and-item-full-datasets)

- [India GeoJSON](https://www.kaggle.com/datasets/rishabhindoria22/india-geojson)

- [Zomato Restaurants Dataset for Metropolitan Areas](https://www.kaggle.com/datasets/narsingraogoud/zomato-restaurants-dataset-for-metropolitan-areas)

- [Additional Swiggy Restaurant Dataset](https://www.kaggle.com/datasets/abhijitdahatonde/swiggy-restuarant-dataset)

- [Additional India State Shape Files](https://www.kaggle.com/datasets/rishabhindoria22/india-shx)

- [Zomato Restaurants Dataset](https://www.kaggle.com/datasets/abhijitdahatonde/zomato-restaurants-dataset)

## Analysis

The project includes:

- **Descriptive Statistics**: Summary statistics of the data.

- **Distribution Analysis**: Distribution of each variable.

- **Correlation Analysis**: Correlation between different variables.

- **Regression Analysis**: Modeling relationships between variables.

- **Geospatial Analysis**: Mapping and spatial analysis of restaurant locations.

## Notebook

The project is documented and executed in a Kaggle notebook, available [here](https://www.kaggle.com/rishabhindoria22/bdm-project).

## Proposal and Final Report

The project includes a detailed proposal and final report. These documents provide comprehensive insights and findings from the analysis.

## Contributing

Feel free to fork the repository, make improvements, or suggest enhancements. Contributions are welcome!

## License

This project is licensed under the MIT License. See the LICENSE file for more details.