EXPLORATORY DATA ANALYSIS AND VISUALIZATION ON ZOMATO RESTAURANTS DATA

Abstract

                     Present and future generation is the journey of e-commerce platform is booming in world, In India, several folks are drawn to      technology. Indian shoppers are just about victimization the e-commerce platforms like on-line shopping, booking tickets, and health care, etc. at intervals the e-commerce platform food business is one of the amongst the foremost on-line food ordering business. This has brought just about every eating places are victimization e-food business, were in Asian nation, were differing kinds of business corporation area unit like zomato, swiggy, and foodpand, etc. Present vertical has showing tremendous growth over the last five years, signifying the untapped potential. The leader of the Republic of India has been Zomato. Zomato could also be related to each shoppers would associate to once he thinks of Associate in nursing e-food platform. The demo zomato restaurants graphics of the situation relies on k-means clusters algorithms, itll facilitate us to understand concerning the restaurants and rate of growth of the restaurants with the help of visualization. After this module is deploying in shiny web application, it provides clearly to know over browser of knowledge visual image of everywhere indian zomato data, were that citys are unit most victimization the zomato on their restaurants, here we have a tendency to grasp concerning the top ten          restaurants in specific town on the premise of various sort of cuisines providing restaurants and consumer review additionally it facilitate us in comparison between one with another citys restaurants. This paper is facilitate us in digital promoting trade to        create the promoting all told over restaurants additionally revenue of all restaurants weather is increasing or decreasing.