junjunmeng/airbnb

Airbnb

Table of Contents

1. project Motivation
2. File Description
3. Results
4. Licensing, Authors, and Acknowledgements

Project Motivation

For this project, I was interstested in using Airbnb historical data in Seattle from 2016.1 - 2017.1 to better understand:

1. What is the price vibe for neighbourhood in Seattle, is there any places more expensive?
2. What is the seasonal effect to the price, which is the busiest time to visit Seattle and how much price spikes?
3. What is the day of week effect to the listing price?
4. Which effect drive price spike more, comparing seasonal and day of week effect

The full dataset could be found at kaggle: https://www.kaggle.com/airbnb/seattle

File Description

This notebooks was run google colab. Markdown cells included the questions and main takeways from the analysis

Results

The main findings of the code can be found at the post available here

Licensing, Authors, Acknowledgements

Must give credit to Airbnb for the data. You can find the Licensing for data and other informaiton at kaggle at the link available [kaggle]"https://www.kaggle.com/airbnb/seattle". Ohterwise, you are welcome to use the code as you like!