Out of all the artist I've listened in this date range, these are the 5 artist that I've heard the most:
artist_names
artist_names
artist_names
artist_names
artist_names
These are the places where my top 5 artists were born:
I'm probably into millennial artists because the average age of the ones I listen to the most is
These are my 5 favorite songs from this period
My most listened album
I've listened to
hours of music
My top 5 genres
According to the graphic below I tend to listen to music at night, specifically at 8pm
References
You may find all the code for this project on Gitub
The data was taken by doing some webscrapping. The data from artists and bands such as their birthdays and their birthplaces was taken from Wikipedia. The data from Spotify was taken from the Spotify for Developers page. Also, the data from the Grammy Awards was taking by doing webscrapping over the official Grammy Awards page.
The date range of the data is from 03/14/2020 to 05/14/2020. All the transformations of the data were done on Python, using libraries like pandas and statistics. For the visualization, I used D3.js to give life to this page.
[1] According to the Spotify references' documents about the popularity of the artists: "The value will be between 0 and 100, with 100 being the most popular. The artist’s popularity is calculated from the popularity of all the artist’s tracks". For this particular page, I took the percentage of artists with a popularity greater than 80.
[2] According to the Spotify references' documents about the track's audio features: "Danceability describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0.0 is least danceable and 1.0 is most danceable." For this particular page, I took the percentage of tracks with a danceability number greater than 0.6.
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