Inferential Statistics and Visualization Techniques for Aspect Analysis

Aspect Analysis of a multidimensional dataset aims to address diverse queries of the data analysts by analyzing different aspect of the data. Thus, it caters to the challenges faced by data analysts by presenting the solution to the most dilemmatic questions. Current research work focuses to present the various steps carried out during aspect analysis through statistical and visualization methods. For aspect analysis, authors have considered a dataset containing information about bookings of city hotel and resort hotels. The various features in the dataset are duration of stay, period of stay, and number of visitors (adults and children) among others. In order to maintain the privacy, authors have removed all personal information from the dataset. This aspect analysis of the data enables the owner to gain in-depth knowledge of the data that can be employed towards revenue generation, enhanced quality of service and well preparedness. Additionally, authors have also made an attempt to analyze the pattern in various actions of customers viz. arrival time, cancellations, and repeated check-ins etc. Understanding of such patterns not only helps in data analytics but also helps in boosting the sales.