Analyzing Seattle AirBnb Data

Udacity Data Scientists Nanodegree - Project Blog Post

Project Motivation

For this project I picked a Seattle AirBnb dataset to better understand:

1. What is the average price per months and days of the week?
2. Which neighborhood is the most expensive one?
3. What property types are most popular?

File descriptions

Data: The following Airbnb activity is included in this Seattle dataset:

• Listings, including full descriptions and average review score
• Reviews, including unique id for each reviewer and detailed comments
• Calendar, including listing id and the price and availability for that day

Code:

• seattle_airbnb_analysis.ipynb

Libraries used

• Pandas
• Numpy
• Matplotlib
• Seaborn

Results

The results of the analysis can be found in a blog post here

Acknowledgements

The used AirBnB data set is published along with the licensing terms on Kaggle