This repository contains data analysis projects focusing on Airbnb activity in two major US cities: Seattle, Washington and Boston, Massachusetts. The aim of these projects is to provide insights into the patterns of Airbnb listings, reviews, and availability trends within these cities, using data from the Airbnb Inside initiative.
Airbnb has transformed the way people travel by providing a platform for hosts to offer unique, personalised accommodations to guests since 2008. The dataset provided here pertains to homestay listings in Seattle, WA, detailing their activity and characteristics.
The Seattle dataset includes the following details:
- Listings: Full descriptions of properties and their average review scores.
- Reviews: Data including a unique ID for each reviewer along with detailed comments.
- Calendar: Information regarding the availability and pricing of listings on specific dates.
This data is sourced from the Airbnb Inside initiative. The complete dataset can be accessed here.
Following the same structure as the Seattle dataset, this data represents Airbnb listing activities in Boston, MA, providing insights into the dynamics of the local Airbnb market.
The Boston dataset includes:
- Listings: Details such as full descriptions of properties and their average review scores.
- Reviews: Contains a unique ID for each reviewer and detailed comments.
- Calendar: Data on the pricing and availability of properties for different dates.
This dataset is also part of the Airbnb Inside initiative, available here.
To work with these datasets, ensure you have Python installed along with libraries like pandas, numpy, and matplotlib for data manipulation and visualization.
Contributions to this analysis are welcome. You can contribute by improving the analysis, adding new features, or by fixing bugs. Please fork the repository and submit a pull request with your changes.
This project is licensed under the MIT License - see the LICENSE file for details.