Airbnb-Listings-PowerBI-Dashboard is an interactive Power BI dashboard analyzing NYC Airbnb data from Kaggle. It provides insights into listing types, pricing trends, popular neighborhoods, and review patterns across NYC. Ideal for exploring market trends and identifying high-demand areas in NYC’s Airbnb landscape.

Explored common words and themes in Airbnb listing descriptions to better understand the characteristics of successful listings

This Repo contains the Airbnb Market Analysis Dashboard developed in Tableau

My analysis using a linear model to predict Airbnd price.

Analysis and Prediction of Airbnb Listings' Yields in NYC.(Using Python)

Fourth project of data scientists nanodegree

Analysis Of New York City Airbnb Listings Dataset Using Python

Airbnb properties data scraper

A Data analytics/viz study on the Barcelona airbnb listings

A data analysis project on Airbnb listings worldwide, focusing on understanding factors influencing listing prices, ratings, and reviews.

This project performs Exploratory Data Analysis (EDA) on Airbnb listings using data .from. The goal is to understand pricing patterns, neighborhood trends, and availability of listings.

Analysis of AirBnB listings of San Francisco for 2019-2020

Price predictions on LA Airbnbs

A deep dive analysis into the Boston Airbnb open source data

Data analysis, recommendation system & sentiment analysis for Airbnb listings in Athens, Greece

Exploring listing performance, amenities, and revenue impact using Airbnb data for USA region in R

This is a project from my Data-Driven Decision Making class at NYU Stern in Spring 2020. The repository contains pieces of code involved in the project, as well as some screenshots from JMP Pro, but it is not an exhaustive list of everything my group and I did.

This project is intended to find two things: 1) how crime rate at a particular neighborhood influences the listing price of Airbnb. 2) how safe a neighborhood is where the Airbnb listing is located

Analysing 66,000 Airbnb listings in London using Python, machine learning, and sentiment analysis to identify pricing factors, predict rental prices, and provide actionable insights for better Airbnb customer experience.

Exploring the Airbnb London dataset to find any interesting information as well as predicting the rent prices of different accommodations listed on the Airbnb platform in London