Welcome to the Airbnb Data Visualization in Tableau project! In this project, I explore and visualize Airbnb data from the Seattle area. The dataset includes information about listings, pricing, reviews, and availability over time.
- Dataset Link: https://www.kaggle.com/datasets/alexanderfreberg/airbnb-listings-2016-dataset
- The dataset used in this project is sourced from the Seattle Airbnb Open Data, containing information on thousands of listings from 2016.
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Price by Zip Code:
- Visualization showcasing the average price of Airbnb listings in different zip codes. Each zip code is color-coded for easy identification. This can assist potential hosts in choosing profitable locations.
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Map Visualization:
- A map visualization displaying the average prices in different zip codes. The color scheme corresponds to the previous visualization, providing both geographical and numerical insights.
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Revenue by Time of Year:
- Time series analysis showing the revenue trends throughout the year. This visualization aids in identifying the peak times for listing availability, helping hosts optimize their earnings.
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Impact of Bedrooms on Price:
- Exploration of how the number of bedrooms influences listing prices. The data is categorized by the number of bedrooms, providing valuable insights for hosts considering property size and pricing.
- Clone the Repository: Clone or download the repository to access the dataset and project files.
- Data Exploration: Dive into the combined Excel workbook to explore the listings, pricing, and reviews data. Feel free to leverage the insights for your own analyses.
- Run the Project: Use Tableau or your preferred data visualization tool to replicate and extend the visualizations. Adjust parameters, colors, or create new visualizations based on your unique requirements.
- Contribute: If you discover interesting patterns or insights, consider contributing to the project by opening an issue or submitting a pull request.