Welcome to my Airbnb Analysis Project repository! ๐ In this project, I dive deep into the data to extract valuable insights into accommodation preferences, geographic trends, and strategic decision-making for optimized hosting on Airbnb.
Check out the full analysis notebook on Kaggle!
Explore the latitude and longitude distribution of different room types through dynamic map visualizations. Uncover geographic patterns to inform strategic decisions for tailored accommodation offerings.
- Seasonal Availability Trends: Discover patterns in availability throughout the year, guiding strategic pricing and marketing decisions.
- City Popularity Word Cloud: Dive into a captivating word cloud revealing the most favored cities, guiding marketing efforts and customer engagement strategies.
- Neighborhood Group Analysis: Explore the box plot showcasing the availability distribution in Brooklyn, Manhattan, and Queens, aiding in neighborhood group profiling.
-
Clone the Repository:
git clone https://github.com/Sooraj-dsa/AirBnB-Analysis.git
-
Explore the Jupyter Notebooks:
- Check out the detailed analysis and visualizations in the Jupyter notebooks provided.
-
Contribute:
- Feel free to contribute by forking the repository, making changes, and submitting pull requests.
Your insights and contributions are valuable! Let's collaborate to enhance our understanding of Airbnb trends and make hosting experiences even better. ๐ค๐
Happy Analyzing! ๐โจ