Airbnb Data - Rio de Janeiro Analysis

Analysis of Airbnb room rents data of Rio de Janeiro, Brazil. This analysis is part of the Data Scientist Nanodegree program by Udacity.

I explored the dataset to answer a few questions:

• What is the most popular neighborhood for renting a room?
• What is the most popular room type?
• What is the most expensive room type?
• The most expensive rooms are located in which neighborhood?
• What is the expected average price per neighborhood?

You can find an explanation of the results in this post. Also, you can use Nbviewer to better visualize the notebook. A few additional details about the project are below.

1. Installations
2. File Description
3. Summary of Results
4. Acknowledgments

1. Installations

Through the Anaconda toolkit, I used the Python Libraries: Pandas, Numpy, Matplotlib, and Seaborn.

2. File Description

• Airbnb_Rio_Notebook.ipynb: source code
• listings.csv: dataset
• neighbourhoods.geojson: coordinates with the limits for each neighborhood

3. Summary of Results

• What is the most popular neighborhood for renting a room?: Ipanema
• What is the most expensive room type?: entire home/apts
• What is the most popular room type? entire home/apts
• What is the most expensive neighborhood to rent a room? Joá is the most expensive neighborhood in Rio. We would expect to pay, on average, 3926.83 per room. Half of the rooms are above the 2277.5 price line; half are below.

The image below shows the map that presents the average price per neighborhood in Rio de Janeiro:

4. Acknowledgments

Spcecial thanks to the team at Udacity that gave me awesome feedback for this project!