Skip to content
This repository has been archived by the owner on Dec 5, 2021. It is now read-only.

Choropleth exploration of the WASABI database using D3.js for visualization and R for data pre-processing.

Notifications You must be signed in to change notification settings

qlero/choropleth_wasabi_dataset

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

66 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Wasabi Dataset

About

Data visualization of the deep learning WASABI songs & artists dataset displaying:

  • an interactive choropleth map displaying the amount and concentration of music bands per country, decade and main genre since 1960

  • e.g. the WASABI dataset references 2045 rock bands in the United States of America in the 2000s (20% of referenced bands in the dataset), or c. 6.69 bands per 1m people in the country.

map

Building the website

# Mounting the website
$ git clone https://github.com/LMquentinLR/choropleth_wasabi_dataset.git
$ sudo apt install npm
$ npm i
$ sudo npm install -g parcel-bundler
$ parcel index.html

mounting

Acknowledgement

This visualization would not have been possible without the code kindly provided by Tzingtao Chow here.

Thanks to enricobachiorrini for helping with a nifty global variable issue.

About

Choropleth exploration of the WASABI database using D3.js for visualization and R for data pre-processing.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published