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# Sydney's Spotify Listening Frequency

Preferred citation (DataCite format):

  Brandt, Sydney Nicole (2022).
  Sydney's Spotify Listening Frequency.
  University of Arizona Research Data Repository.
  Figure. https://doi.org/10.25422/azu.data.19709749


Corresponding Author:
  Sydney Nicole Brandt, snbrandt@email.arizona.edu


License:
  CC BY 4.0 (data)
  MIT (code)


DOI:
  https://doi.org/10.25422/azu.data.19709749



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## Summary

This project visualizes my listening habits on the streaming service Spotify
from March 2021 to 2022. My interest in music listening statistics is largely
inspired by Spotify's end-of-the-year review "Spotify Wrapped", as well as
community-created apps that analyze and visualize listening data using
Spotify's API. I was able to gain access to my listening data through Spotify,
who will allow you to download a year's worth of your listening and account
data upon request.

The circular barplot serves as a 24 hour clock, where each bar represents how
many plays were recorded in that hour of the day. The charts are then split
into quarters for morning, afternoon, evening, and night, mimicking daylight
and night sky. These were created as histograms and were made circular using
coord_polar(). The x and y axes were then modified to create the hole in the
center.

The visual is faceted to show three unique dataframes: my entire listening
history for that timeframe, my listening history of Fall Out Boy, and my
listening history of 100 gecs. These were chosen to dissect my listening
behavior at particular moments in my life.

I listen to Fall Out Boy primarily while traveling to and from Phoenix, and I
listen to 100 gecs mostly while studying or coding. With this, I was able to
recognize some of my habits in my barplots; my listening of Fall Out Boy was
highest at 4-5AM and 8PM, which is usually when I would take long commutes. My
listening of 100 gecs was highest at 7PM and 2AM, indicative of my night-owl
studying habits.

Because of this challenge, I learned to familiarize myself with new R
packages, as well as how circular barplots can be created using R Studio.
Overall, it was a lot of fun and I'm excited to continue working with music
and listening data in the future!



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## Files and Folders

- listening-frequency-barplot.Rproj: the R project for this visualization
- listening-frequency-barplot.R: the R script that contains the code to import three dataframes and create three plots based on - listening history
- MyData2022.zip: individual .json files provided by Spotify, which contain listening history info
- listening-frequency-plot.png: an image of the resulting visualization



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## Materials and Methods

RStudio 2022.02.1+461 "Prairie Trillium" Release. Required libraries: jsonlite, lubridate, ggplot2, ggpubr, tidyverse.



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## Contributor Roles

The roles are defined by the CRediT taxonomy http://credit.niso.org/

  - Sydney Brandt, University of Arizona: Conceptualization, Visualization



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## Additional Notes

This item is part of the University of Arizona Libraries 2022 Data Visualization Challenge, which is available here:
https://doi.org/10.25422/azu.data.c.5963184

Links:
  - https://support.spotify.com/us/article/understanding-my-data/