team-assignment-team-4 created by GitHub Classroom

This repository contains data set for Seattle Airbnb, SQL script for creating MySQL database, along with MySQL and MongoDB queries within the report.

Final Project for GAFL 531

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.

Data Analytics project from the class "Data Analytics" of ECE PARIS master' degree of "Big Data & Analytics".

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

A group research paper exploring multiple regression techniques to predict the rental prices of Airbnb locations in Santa Clara country, CA.

Evolution of Airbnb rentals 🏠🛏️

R project that analyzes Airbnb user trends during COVID-19 pandemic 2020

Final Practices for the ETL subject

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

Predictive Analysis of Price on Amsterdam Airbnb Listings Using Ordinary Least Squares.

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

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

This project aims to develop a visualization tool with the Shiny RStudio framework and the R programming language to conduct a study on the price of rent in Madrid using Airbnb data.

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

Price determinants and superhost prediction on Airbnb Hawaii 2019 dataset

Analysing Airbnb guests' reviews using text mining and sentiment analysis.