Samarthanandam / Zomato_Banglore_Dataset-EDA---PYTHON

Performed Exploratory Data Analysis (EDA) on Zomato Bangalore Restaurant dataset using python

Zomato Bangalore Restaurants Exploratory Data Analysis (EDA) -- Python

Project Overview:

This Python project conducts a detailed Exploratory Data Analysis (EDA) of Zomato Bangalore restaurant data. The aim is to provide stakeholders with actionable insights derived from the analysis, enabling informed decision-making regarding Zomato's operations and services in Bangalore.

Key Questions Addressed:

1. Various Location Zomato Serves in Bangalore: Identify and analyze the various locations where Zomato serves in Bangalore.

2. Percentage of Orders: Online vs. Book Table: Determine the percentage distribution of orders made online versus those booked for table reservations.

3. Role of Rate in Online vs. Dine-In Orders: Investigate whether the rate (customer ratings) influences the choice between online orders and dining in at the restaurant.

4. Location-Wise Comparison of Online vs. Dine-In Facility: Compare the availability of online ordering versus dine-in facilities across different locations in Bangalore.

5. Comparison of Restaurant Types vs. Rate: Analyze the affordability of different restaurant types (e.g., cafes, dessert parlors) and explore whether the rate influences consumer decision-making.

6. Top Cuisines Ordered by People: Identify and rank the top cuisines preferred by Zomato users in Bangalore.

Methodology:

• Data Cleaning and Preparation:
  • Removal of null values and duplicates.
  • Dropping irrelevant parameters.
• Exploratory Data Analysis:
  • Utilizing Python libraries such as Pandas, NumPy, and Matplotlib.
  • Statistical techniques for pattern identification.
• Visualization:
  • Creating informative visualizations using plots, charts, and graphs.
• Interpretation:
  • Drawing meaningful conclusions from analysis results.

Project Outcome:

This project aims to offer stakeholders valuable insights into Zomato's operations and services in Bangalore. The analysis serves as a resource for strategic planning and decision-making.

Contributions and Feedback:

Contributions and feedback from the open-source community are encouraged. Please feel free to provide suggestions, report issues, or submit pull requests to enhance the analysis and its outcomes.

Let's Dive In:

Explore the world of Zomato Bangalore restaurants and uncover compelling insights together!

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THE DATASET USED IN THIS PROJECT CAN BE DOWNLOADED FROM - https://www.kaggle.com/datasets/himanshupoddar/zomato-bangalore-restaurants?resource=download