Airbnb NYC Explorer 🗽

Welcome to the Airbnb NYC Explorer, a project developed as part of the "Python As An Engineering Tool" course at the University of Michigan-Dearborn. Dive deep into the world of Airbnb listings in New York City, visualize data, and gain insights from our interactive dashboard.

🚀 Features

• Interactive Dashboard: Explore Airbnb listings through an intuitive and interactive dashboard.
• Data Visualization: Visualize the geographic distribution of listings, price distributions, neighbourhood analysis, and more.
• Rent Estimation: Estimate rent based on various parameters like room type, neighbourhood, and address.
• In-depth Analysis: From hosts with the most reviews to neighbourhood price analysis, get a comprehensive view of the Airbnb landscape in NYC.

📦 Installation & Setup

1. Clone the Repository:

git clone https://github.com/ItsAlexousd/uofm-airbnb-explorer-nyc.git
cd uofm-airbnb-explorer-nyc

2. Install Dependencies:

pip install numpy pandas matplotlib plotly dash dash_bootstrap_components seaborn statsmodels scikit-learn

3. Run the Dashboard:

jupyter notebook airbnb-explorer-nyc.ipynb

Once the server is running, open your web browser and navigate to http://localhost:8050.

📊 Dataset

The dataset, data/AB_NYC_2019.csv, provides a comprehensive view of Airbnb listings in NYC. It includes details such as:

• Listing ID, name, host ID, host name
• Neighbourhood, room type, price
• Minimum nights, number of reviews, availability
• ... and more!

📝 Documentation

The code is thoroughly documented, with comments explaining each step. For a deep dive into the implementation, refer to the airbnb-explorer-nyc.ipynb file.

🌟 Results & Insights

• Visualize the geographic distribution of listings on a map.
• Analyze price distributions with histograms.
• Understand neighbourhood price dynamics.
• Discover the top hosts based on reviews.
• Estimate rents using various parameters.