qlero / choropleth_wasabi_dataset

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

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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.


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Language:JavaScript 80.7%Language:CSS 11.6%Language:HTML 7.4%Language:Shell 0.3%