https://github.com/saisurajmatta/airbnb-data-visualisation-project
Explored and visualized Seattle Airbnb data to gain insights into pricing, geographic trends, and optimal listing strategies for hosts.
https://github.com/saisurajmatta/airbnb-data-visualisation-project
data-analytics data-visualization excel tableau tableau-dashboards tableau-public tableu-workbook
Last synced: 5 months ago
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Explored and visualized Seattle Airbnb data to gain insights into pricing, geographic trends, and optimal listing strategies for hosts.
- Host: GitHub
- URL: https://github.com/saisurajmatta/airbnb-data-visualisation-project
- Owner: SaiSurajMatta
- Created: 2024-01-04T20:58:18.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-04T21:13:09.000Z (over 2 years ago)
- Last Synced: 2025-07-09T16:12:53.817Z (12 months ago)
- Topics: data-analytics, data-visualization, excel, tableau, tableau-dashboards, tableau-public, tableu-workbook
- Homepage:
- Size: 46.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Airbnb Data Visualization in Tableau
## Project Overview
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.
[See on Tableau Public](https://public.tableau.com/app/profile/sai.suraj.matta/viz/AirbnbDataVisualization_17043334219160/Dashboard1)
## Data Set
- 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.
## Project Overview
1. **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.
2. **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.
3. **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.
4. **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.
## Instructions for Use
- **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.