A Visual Analysis of UK Number 1s
Spotify produces quantitative data for every song in their library on characteristics such as ‘danceability’, ‘valence’ and ‘energy’.
To give it contextualise this data, this project presents an analysis of songs which have reached number 1 in the UK charts. These are compared on attributes such as when they were number one or how long they were number 1 for.
The data was gathered using custom python and node scripts, it was then analysed using R.
Unit tests were written for the site using Mocha and Chai, and further tests were conducted using Ruby & Cucumber.
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