Zomato-EDA

Exploratory Data Analysis (EDA) on Zomato Dataset

Project Overview

This project involves performing Exploratory Data Analysis (EDA) on the Zomato dataset. The analysis includes data cleaning, processing, and visualization to uncover insights about the data. The dataset contains information about restaurants, including ratings, location, cuisine, and more.

Objectives

"To address and resolve business challenges, derive valuable insights from data, and make informed business decisions." Conclusion like - Which mode receives Max Rating (Online or offline)

• Data Cleaning: Address missing values, outliers, and inconsistencies in the dataset.
• Data Processing: Transform and preprocess data for analysis.
• Data Visualization: Create visualizations to identify patterns and insights.

Tools and Libraries

• Python: Programming language used for the analysis.
• NumPy: Library for numerical operations.
• Pandas: Library for data manipulation and analysis.
• Seaborn: Library for statistical data visualization.
• Matplotlib: Library for creating static, animated, and interactive visualizations.

Installation

To run this project, you'll need to have Python installed along with the necessary libraries. You can install the required libraries using pip:

pip install numpy pandas seaborn matplotlib