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Yearly Music Trend Signature

✓ Published2🌍 Public
ZZiyang Gao
Last edited Sep 30, 2020
Created on Sep 23, 2020

This visualization tracks the average values of musical attributes, such as energy or danceability, across the top 10 Spotify songs each year from 2010 to 2019. A multi-line chart displays these trends, using color to distinguish each musical signature, with tooltips revealing the standard deviation of each attribute. The visualization is built with D3.js, Vega-Lite, and the Vega-Lite API, pulling pre-calculated mean and standard deviation data from a CSV file on GitHub.

AI-generated description

A visualization constructed using the vega-lite-api.

The graph shows the trend of music component signature since 2010 to 2019. Data were preprocessed by Rstudio, taking the average data of top 10 Spotify playing music every year. Standard deviation is calculated to show the variant of each category.

Till now it's still difficult to use vega lite api to reshape the data to the nice form that we want, thus I chose to use other tools to preprocess.

See Data on Gist: Yearly Music Trend

Calculated Mean and SD

The original data comes from the Observable

MIT Licensed

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