Welcome to the Airbnb Dashboard Analysis project! This repository showcases an interactive and insightful Tableau dashboard exploring the Airbnb dataset.
To view the Tableau Public dashboard associated with this project, visit the following link:
Please note that Tableau Public provides a platform for sharing visualizations, and the link above will direct you to the hosted dashboard on the Tableau Public website.
Follow these steps to use the Airbnb Dashboard Analysis project:
- Clone this repository to your local machine.
- Open the Tableau Public dashboard link mentioned above to explore the visualization.
- Alternatively, visit the GitHub Pages link provided to access the hosted website version of the dashboard.
The aim of this project is to analyze the Airbnb dataset to gain insights into the hospitality industry, pricing strategies, and the sharing economy. The project also aims to create visualizations to showcase these insights to a target audience, including Airbnb hosts, travelers, and policymakers.
The target audience for this project includes:
- Airbnb hosts: who can use the insights to optimize their pricing strategies and improve their bookings.
- Travelers: who can use the insights to make informed decisions on the location, pricing, and amenities of their Airbnb bookings.
- Policymakers: who can use the insights to regulate the sharing economy and ensure fair competition in the hospitality industry.
Overall, the project aims to provide valuable insights into the Airbnb industry and help various stakeholders make informed decisions. In this report, we will analyze the Airbnb listing data to identify patterns and trends in the data that could be used to inform business decisions. Specifically, we will focus on the average listing price by neighborhood, the number of listings over time, and the relationship between listing price and review scores. We will also create a map showing the locations of listings, with color indicating the average price in each neighborhood.
The interactive dashboard for the Airbnb project provides a comprehensive overview of the platform's performance in Ireland. The dashboard provides a snapshot of the key metrics such as the total number of hosts, neighbourhoods, reviews, and revenue. These metrics give an idea of the scale and popularity of the platform in the country. The dashboard also includes three navigation buttons that enable users to access more detailed information on Host Analysis and Revenue Analysis. This allows for a deeper dive into specific areas of interest for the user.
The Overview section of the dashboard focuses on the average pricing of Airbnb by neighbourhood, location, distribution of room types, and trends over time. The map visualization provides a clear view of the average pricing in different neighbourhoods, allowing users to identify popular areas and those with high demand. The distribution of room types chart provides insight into the most common types of accommodation offered on the platform. The trend over time chart highlights the changes in pricing over time and allows users to identify seasonal patterns.
The Host Analysis section of the dashboard provides deeper insights into the hosts and regions. The first chart highlights the top 10 hosts by review count, helping users to identify the most popular and active hosts on the platform. The second chart of the dashboard shows the relationship between price and popularity, indicating how the pricing strategy of the hosts affects the popularity of their listings. This section can help users to understand the impact of pricing on the demand for Airbnb listings. The third chart focuses on the top regions based on reviews, giving users an idea of the most popular regions among users. This information can help users to make informed decisions about the location of their Airbnb listing. Finally, the last section shows the availability of Dublin neighbourhoods by weekday, which can provide useful insights for both hosts and guests to understand the booking patterns in Dublin. This can help users to adjust their pricing and availability strategies accordingly.
The Revenue Analysis section of the dashboard focuses on the impact of different minimum night requirements on the average monthly income and the actual versus target reviews per month for Airbnb listings in Dublin. The "What If" analysis through varying the minimum night parameter is useful for hosts to optimize their pricing strategy and maximize their earnings. The chart showing the actual versus target reviews per month helps hosts to understand how their listing performance compares to the average performance of other listings in the same neighbourhood. Overall, this interactive dashboard provides a powerful tool for understanding the performance of Airbnb in Ireland. Its intuitive design and interactive features allow users to explore the data in-depth, enabling them to make informed decisions based on the insights gained