Zomato Data Analysis and Dashboard

Overview

This project analyzes restaurant data from Zomato in Karnataka, India. The goal is to uncover insights into restaurant trends, ratings, and costs, and to present these findings through an interactive Power BI dashboard.

Dataset

The dataset used in this project is sourced from Kaggle and contains various details about restaurants listed on Zomato in Karnataka.

• Source: Kaggle - Zomato Dataset
• Data Features:
  • Restaurant names
  • Locations
  • Ratings
  • Cuisines
  • Average costs for two
  • Reviews
  • Timings
  • etc.

Features

• Data Cleaning: Addressed missing values, corrected data types, and ensured consistency.
• Exploratory Data Analysis (EDA): In-depth analysis using Python to explore various aspects of the data, such as ratings, cost distribution, and restaurant types.
• Power BI Dashboard: Created an interactive dashboard to visualize key insights, including top-rated restaurants, cuisine distribution, and price ranges.

Visualizations

Installation

To replicate the analysis or customize the dashboard, follow these steps:

1. Clone the Repository:

   git clone https://github.com/rawoolsiddhi/Zomato-Data-Analysis.git
   cd Zomato-Data-Analysis

2. Install Required Python Libraries:

• pip install -r requirements.txt

3. Run the Jupyter Notebook:

   • jupyter notebook EDA.ipynb

4. Power BI Dashboard: -Open the .pbix file in Power BI Desktop to explore the interactive dashboard.