MIS772 Predictive Analytics Assignment 2022

MIS772 Predictive Analytics (2019 T2) Individual Assignment A1 / Workshops M1T1-M1T3
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Executive summary (one page)
Zomato is a search engine for Indian restaurants and operates over 24 countries in India. This application provides
information as well as reviews for all the restaurants who are registered in Zomato. The customers provides reviews
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MIS772 Predictive Analytics (2019 T2) Individual Assignment A1 / Workshops M1T1-M1T3
and ratings for the restaurants they visit. This website includes information related to all the restaurants registered
and includes images of foods and the restaurants for providing better customer service.
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MIS772 Predictive Analytics (2019 T2) Individual Assignment A1 / Workshops M1T1-M1T3
Data exploration and preparation in RapidMiner (one page)
The data that is used for the analysis is done using the Zomato API. This API includes all the detailed information
registered in the Zomato App. Information that are included in the API includes the name of the restaurants
registered, their locations, the cuisines the restaurants provides, the ratings given by their customers, the reviews
given by their customers and many other important information related with the restaurant.
The main reason for this study is to analyze the effect of sales of the restaurants in Zomato. This analysis is done on
the basis of different categories included in the data set such as Location, Cuisine, and includes the rating provided
by the customers. All the categories that are taken for the analysis have more concentration on the market place in
India.
For the data analysis that is carried out in this report, we do not need the contact details of the restaurants, neither
we need the url of the sites as well as the address of the restaurants. So, we are omitting these categories from the
list.
The categories that will be considered for analyzing data of booking table and home delivery service is menu_item
as well as the reviews_list categories.
The category of menu_item includes the names of dishes that are restaurants provides their customers. The menu
names will not affect this study as this study includes mathematical studies. There are other categories as well that
includes listed_in (type), rest_type, the cuisines, the dish_liked which gives us an idea about the services that the
restaurants provides to the customers. The dishes that are not to be included in detailed for the study. The dishes
liked by the customer includes character and does not have numeric value. The next category is the reviews_list. All
the reviews included is take from the data set of Bangalore. The reviews_list includes data which is text. There is
also a rating feature for the customers. This rating will included for the review. The rating review in the data set
includes ‘/’ which is excluded from on the data. The rating data is changed from the string data type to float data type.
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