Airbnb Paris listing data clustering

Airbnb Paris listing data clustering

This lab presents the step by step clustering analysis of an Airbnb Paris Listing dataset. After some data preprocessing and features engineering, we carry out a first clustering with the Hierarchical Clustering algorithm. Afterwards, we do the same with K-Means method. We then use PCA (Principal Component Analysis) for visualization purpose. The relevant files for this project are:

• The Airbnb dataset
• The Rmd workbook
• The workbook rendering in html. The github html rendering doesn’t display the leaflet interactive map. However you can save the html file on local and open it in your browser to get the interactive map.