This repository contains an analysis of the Boston Airbnb market using the Boston Airbnb dataset from Kaggle. The dataset includes detailed information about listings, calendar availability, and guest reviews. The main goal of this project is to uncover valuable insights that can benefit both hosts and guests in the Boston Airbnb market.
The dataset used in this project is the Boston Airbnb Open Data from Kaggle. It contains information about Airbnb listings, including property features, host information, and guest reviews.
The dataset consists of three files:
listings.csv: Detailed information about each listing, such as property type, price, location, and more.calendar.csv: Availability and price information for each listing on a daily basis.reviews.csv: Detailed reviews left by guests for each listing.
You can download the dataset from Kaggle - Boston Airbnb Open Data.
The analysis is divided into several parts, each focusing on a specific aspect of the Boston Airbnb market. These include:
- Seasonal trends in pricing and occupancy rates
- Price distribution of Airbnb listings
- Popular neighborhoods and their average prices
- Popular property types and their average prices
- Common themes in guest reviews
- The relationship between price and review scores
The Jupyter Notebook boston_airbnb_analysis.ipynb contains all the code, visualizations, and detailed explanations of the analysis. Please refer to the notebook for a comprehensive understanding of the project.
For a more engaging and concise explanation of the analysis, you can read the Medium post at: https://medium.com/@afifakbariskandar_42661/uncovering-valuable-insights-in-the-boston-airbnb-market-a1cd9124a982