Análisis geoespacial que revela patrones de gentrificación turística mediante LISA bivariada. Identifica clusters entre Airbnb y restaurantes en la colonia San Rafael de la CDMX.

Statistical analysis of 85,000+ London Airbnb listings using R - reveals that property characteristics explain 34% of price variation while host behavior has negligible impact

Interactive Shiny dashboard analyzing Airbnb trends in the U.S., featuring visual insights into pricing, room types, and geographical patterns.

Binary Classification: Predicting whether Airbnb listings will have a high booking rate.

Ejercicio en R realizado en base a un dataset sobre los AirBnB en Milan

R project. Output: a Rshiny web app that analyzes thousands of Airbnb France data (Paris, Lyon, Bordeaux). Skills: web app design (Rshiny), data cleaning and preparation (dplyr, lubridate), data visualization (ggplot2), maps (leaflet) and kmeans clustering.

team-assignment-team-4 created by GitHub Classroom

Team assignment by team 8 for the course 'Data Preparation & Workflow Management' which examined how New Year's Eve affects Airbnb prices and the bookings of Airbnb's.

Final Practices for the ETL subject

Exploratory Data Analysis : Airbnb Tokyo. An exploratory data analysis self project (unguided)

Team assignment for the course 'Data Preparation & Workflow Management' by team 5 where we analyzed the effect of Coldplay concerts on the Airbnb prices.

This repository is created by Team 08 for the course Data Preparation and Workflow Management, taught at Tilburg University for the MSc Marketing Analytics. This project will research the price mark-up on the prices of Airbnb's in New Orleans during festivals.

Investigating the effect of Valentine's Day on Airbnb listings in Paris, Madrid and Rome

A workflow that estimates Airbnb pricing and predict the rental properties annual revenue based on the characteristics of the Airbnb.

Estimating the effect of Hawaiian AirBnB listing characteristics, the time until the booking starts (in days) and the season on the price per night.

This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.

This project is a descriptive analysis on an Airbnb dataset for business owners.

A repository for the research to the impact of corona curfew on the prices of Airbnb listing in Amsterdam

regression modeling for strategic price estimation of airbnbs during pre-covid period in Singapore