Authors: Syed Ibrahim Hussain, Mahad Ansari, Mr.Kareem Basha
Abstract: Today, the brand new digital economy has revolutionized the way people travel and find a place to stay through platforms like Airbnb. For this purpose, this project is dedicated to delving into Airbnb data with the help of efficient data visualization methods to reveal significant patterns and insights. The study, by analyzing various factors such as pricing location types of rooms, availability, and customer reviews, is aiming at finding the answer to how different variables affect listing performance and user preferences. Through the use of visualization software, not only are complex datasets opened up in a simple and interactive visual manner like charts, graphs, and maps but it also becomes much easier to recognize the patterns and associations. Besides hosts, guests, and platform developers, the project also showcases the great potential of data visualization in enabling them to make better decisions. In short, this work illustrates the tremendous impact of visual storytelling in turning huge datasets into simpler ones and at the same time, providing useful insights in a real-life situation.
DOI: http://doi.org/10.5281/zenodo.20747004
