This project delves into Swiggy's restaurant data, exploring various aspects and trends using Pandas and exploratory data analysis techniques.
-
Updated
Jul 16, 2024 - Jupyter Notebook
This project delves into Swiggy's restaurant data, exploring various aspects and trends using Pandas and exploratory data analysis techniques.
Data Analysis Portfolio
Analyzing Zomato Bangalore restaurant data to uncover insights into the city's vibrant culinary scene. Explore trends in cuisine types, restaurant ratings, pricing, and more using data science techniques.
This data science project aims to gather insights into various factors affecting restaurants
Pizza Sales Analysis Project: This project optimizes a pizza restaurant's operations by analyzing demand patterns, revenue, and efficiency, providing insights to enhance profitability, streamline production, and improve customer satisfaction.
Created visualizations to track restaurant performance, table bookings, and customer ratings. Key insights: 15.47% table bookings, New Delhi led with 3,507 restaurants, and North Indian cuisine had 33.4% of reviews. Insights drove strategic decisions for Zomato’s expansion and engagement.
Comprehensive business analytics project using Python and Tableau. Features include data visualization, interactive dashboards, and data-driven insights for restaurant performance and consumer behavior.
This data science project aims to gather insights into various factors affecting restaurants
Add a description, image, and links to the restaurant-analysis topic page so that developers can more easily learn about it.
To associate your repository with the restaurant-analysis topic, visit your repo's landing page and select "manage topics."