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The Airbnb Bookings Analysis project delves into Airbnb data using Python for insights on hosting dynamics, user preferences, pricing strategies, and location analysis. Explore the fascinating world of Airbnb bookings with interactive visualizations. 🏠✨
Data analysis of Airbnb listings in Sydney & Montreal using MongoDB Aggregation Framework and Python. Insights on pricing, trends, and reviewer behaviour.
Big Data Analytics of Airbnb Bangkok (2025-2026) using Apache Spark. Diagnosing structural oversupply and price dynamics via a scalable PySpark ETL pipeline.
This repository contains visualizations for two data visualization projects: one focused on Netflix data and the other on Airbnb data. The goal of these projects is to create compelling visualisations that help uncover insights and patterns in the data.
For this project, I chose the Airbnb dataset of the city of Florence. Specifically, I attempted to answer the following questions using the most popular Natural Language Processing techniques applied to review data: 1. How do guests experience their stay in Airbnb in Florence? 2. What are the main topics in guest reviews? 3. How best to predict …