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Capstone_2_Airbnb_Booking_Analysis

This dataset focuses on Airbnb's extensive dataset since 2008, covering 48,895 observations in 16 columns. It aims to gain insights into user behavior, enhance security, inform business decisions, refine marketing strategies, improve the user experience, and identify regional trends for global expansion. This project harnesses data to benefit Airbnb and enrich the experiences of millions of travelers and hosts.

Analysis

I perform Handling Missing Data, Cleaning Data,Data Transformation,Data Filtering, and Categorical Variables.

Requirements

language python Microsoft_Excel Pandas NumPy matplotlib seaborn GoogleColab

Screenshot

I am attaching some charts here:-