Published November 28, 2024 | Version 1.0
Conference proceeding Open

A Streamlit Tool For Airbnb Data Analysis And Visualization Insights

Creators

  • 1. Sri Muthukumaran Institute Of Technology

Contributors

  • 1. Sri Muthukumaran Institute Of Technology

Description

This project presents a comprehensive analysis and visualization of Airbnb data using Streamlit, a 
powerful framework for building interactive web applications. By leveraging large-scale datasets, 
the analysis explores various aspects of Airbnb listings, such as location trends, pricing patterns, 
booking frequency, and guest reviews. Through dynamic visualizations and intuitive interactive 
features, the application enables users to gain insights into factors influencing pricing, demand, 
and user experience across different regions. The project aims to provide an accessible tool for 
stakeholders in the hospitality and tourism sectors to make data-driven decisions and enhance 
understanding of the Airbnb market landscape.

Files

A Streamlit Tool For Airbnb Data Analysis And Visualization Insights.pdf

Files (644.5 kB)

Additional details

Identifiers

ISBN
978-81-971069-7-2
ISSN
2349-5200

Dates

Accepted
2024-11-28

References

  • 1. M. Kuzlu, F. O. Catak, S. Sarp, U. Cali and O. Gueler, "A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks," 2022 IEEE Future Networks World Forum (FNWF), Montreal, QC, Canada, pp. 94-97, 2022.
  • 2. Tyler Richards, Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python , Packt Publishing, 2021.
  • 3. T. B.M, R. H.V, R. S, R. Salam and M. Pai, "TextVerse: A Streamlit Web Application for Advanced Analysis of PDF and Image Files with and without Language Models," 2024 (APCIT), MYSORE, India, pp. 1-6, 2024
  • 4. Rosario Moscato, Web App Development Made Simple with Streamlit: A web developer's guide to effortless web app development, deployment, and scalability , Packt Publishing, 2024
  • 5. V. Jain, H. Kavitha and S. Mohana Kumar, "Credit Card Fraud Detection Web Application using Streamlit and Machine Learning," 2022 IEEE International Conference on Data Science and Information System (ICDSIS), Hassan, India, pp. 1-5, 2022.
  • 6. S. Mohanty, A. Jain, A. Jha, S. Thakur and S. Prakash, "Various Disease Forecast Using Machine Learning and Streamlit," 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), Rajkot, India, pp. 841-846, 2023.
  • 7. R. N. S. V. Yalamarthi, S. Shaik, D. Singh and M. Rakhra, "Real-Time Face Mask Detection Using Streamlit,TensorFlow, Keras and Open-CV," 2022 IEEE International (ICDSIS), Hassan, Indiax, pp. 1-5, 2023
  • 8. M. Kuzlu, F. O. Catak, S. Sarp, U. Cali and O. Gueler, "A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks," 2022 IEEE Future Networks World Forum (FNWF), Montreal, QC, Canada, pp. 94-97, 2022.
  • 9. Akkem Y, Kumar BS, Varanasi A. Streamlit Application for Advanced Ensemble Learning Methods in Crop Recommendation Systems – A Review and Implementation. Indian Journal of Science and Technology. 16(48): 4688-4702, 2023
  • 10. Bhor, Akshay & Sangale, Ujwala & Sinha, Abhishek & Shewale, Aniket & Gaidhani, Prof, Enhancing Data Insightsthrough LIDA-Streamlit Integration. IJARCCE. 13. 10.17148/IJARCCE.2024.13447, . 2024
  • 11. A Streamlit Web Application for the Analysis of Olympic Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.91-97, 2021