https://github.com/shrutiijoshi/airbnb-listing-reviews
Airbnb is an online marketplace that connects people who want to rent out their homes with travelers seeking accommodations.
https://github.com/shrutiijoshi/airbnb-listing-reviews
data-analysis matplotlib-pyplot pandas-python python seaborn
Last synced: about 1 month ago
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Airbnb is an online marketplace that connects people who want to rent out their homes with travelers seeking accommodations.
- Host: GitHub
- URL: https://github.com/shrutiijoshi/airbnb-listing-reviews
- Owner: Shrutiijoshi
- Created: 2025-01-18T13:29:45.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-01-28T06:50:55.000Z (10 months ago)
- Last Synced: 2025-03-12T08:18:02.505Z (8 months ago)
- Topics: data-analysis, matplotlib-pyplot, pandas-python, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 397 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AirBnB Listing & Reviews
Airbnb is an online marketplace that connects people who want to rent out their homes with travelers seeking accommodations.
## Overview :
This dataset contains Airbnb data for over 250,000 listings across 10 major cities worldwide. It includes detailed information about hosts, pricing, locations, room types, and over 5 million historical guest reviews. The dataset provides valuable insights for studying trends in the short-term rental market.
## Dataset :
The dataset includes the following files:
- listings.csv
Contains detailed information about Airbnb properties, including host details, location, pricing, and room types.
- reviews.csv
Includes guest reviews for Airbnb properties, covering feedback, review dates, and reviewer details.
- Dataset Source : [AirBnB Listing and Review Dataset](https://www.kaggle.com/datasets/mysarahmadbhat/airbnb-listings-reviews)
## Insights :
1. The Number of AirBnBs kept on increasing since the launch and prices kept on increasing too, due to initial traction and early adopters.
2. After the startup is known to everyone and becomes a common utility, AirBnBs start increasing in numbers and prices also kept on decreasing.
3. After regulation was announced around 2015 there was under confidence in the business, number of AirBnBs started decreasing and prices started increasing.
4. Once the regulation is the new normal, during the year 2019 the number of AirBnBs have increased in number and prices kept decreasing due to more supply of them.
## Recommendation :
1. Regulations in long term rentals can impact the business adversely, there might be customer and hosts churn due to uncertainty.
2. Such regulations might add to AirBnBs losses which might be difficult to recover later.
3. If the customer experience is going to get impacted due to this, it would lead to incorrect brand perception.
4. It is recommended to watch out for any such regulations at other places and be prepared for it.
5. AirBnB can replicate such regulations at other places.
6. They can keep strict rules to onboard and release the hosts.
7. They can limit the number of AirBnBs in a locality to ensure the public has enough rental options and the government doesn't step in.