Exploratory Data Analysis Project using Python and it's Libraries like Pandas, Numpy, Matplotlib and Seaborn on Airbnb Booking Analysis Dataset.
LinkedIn Profile : http://www.linkedin.com/in/samadhan-tangde-5a8020253
In the project we are analyzing Airbnb’s New York City(NYC) data of 2019. NYC is not only the famous city in the world but also has top global destination for visitors attracted to its museums, entertainment, restaurants, UN offices and commerce.
The project began with a comprehensive understanding of the Airbnb dataset, including data size, information like properties and their availability, price, location, reviews, and ratings, exploring data related to Airbnb listings, including the number of properties listed, host characteristics, the variety of amenities available, and the occupancy rate of different properties etc. Further analysis of data to understand the significance of the reviews left by Airbnb users.
Exploratory data analysis projects on Airbnb typically involve investigating patterns and trends in various aspects of the platform, such as pricing, popularity, and availability of listings. This data can be used to gain insights into consumer behavior and preferences, as well as to inform marketing and business strategies for hosts and Airbnb as a company. Techniques such as data wrangling(manipulation) and data visualization is used to analyze the data and draw data-driven conclusions.
Along with this Google Colab is also added where data manipulation and visualization did and drawn some insights.