2019 New York Airbnb Visualization

Getting Started

The project will focus on the visualization and analysis of the New York City Airbnb Dataset. This data file includes all the needed information to find out more about hosts, geographical availability, necessary metrics to make predictions and draw conclusions. We would like to the visualization can help find out the relationships between the attributes of Airbnb, such as what are the important contributors to the price and what attributes the customers most care about.To run the code, run the following command in the root directory: python -m http.server

Visualization List

Dot map indicates the location as well as the price of the airbnb house. The redder the house, the higher the price.

The dot map also supports move up, move down, move right, move left, zoom in and zoom out.

support selecting tags of two axis

visualize the relationship between two features by a scatterplot

Dependencies

Jquery - simplify HTML DOM tree traversal and manipulation, event handling and CSS
D3 - producing dynamic, interactive data visualizations
CSS - describing the presentation of a document

Contributor

Jiayao Wang, Liu Wu, Heyin Yu,