ZOMATO-ANALYSIS

Unlock Geographic Insights for Smarter Growth

Built with the tools and technologies:

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Table of Contents

• Overview
• Getting Started
  • Prerequisites
  • Installation
  • Usage
  • Testing

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Overview

Zomato-analysis is a specialized tool designed for exploring and visualizing spatial data related to Zomato's restaurant locations. It enables data scientists and developers to uncover geographic patterns, assess spatial distributions, and derive actionable insights to inform location-based strategies.

Why Zomato-analysis?

This project facilitates in-depth spatial data exploration and visualization, supporting strategic initiatives like market expansion and delivery optimization. The core features include:

• 🗺️ Interactive Maps: Visualize geographic data with dynamic, easy-to-navigate maps.
• 🌐 Heatmaps & Spatial Patterns: Detect density clusters and geographic trends effortlessly.
• 📊 Seamless Integration: Fits smoothly into existing data pipelines for comprehensive analysis.
• 🧭 Location Insights: Supports customer segmentation and strategic decision-making.
• 🎯 Efficient Data Processing: Simplifies complex spatial data handling for faster insights.

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Getting Started

Prerequisites

This project requires the following dependencies:

• Programming Language: JupyterNotebook

Installation

Build Zomato-analysis from the source and install dependencies:

1. Clone the repository:

   ❯ git clone https://github.com/grymoon5/Zomato-analysis

2. Navigate to the project directory:

   ❯ cd Zomato-analysis

3. Install the dependencies:

echo 'INSERT-INSTALL-COMMAND-HERE'

Usage

Run the project with:

echo 'INSERT-RUN-COMMAND-HERE'

Testing

Zomato-analysis uses the {test_framework} test framework. Run the test suite with:

echo 'INSERT-TEST-COMMAND-HERE'

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⬆ Return

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