R Quarto notebook to analyse personal Spotify streaming data. You can find an example of the report at: https://nataliaciria.com/spotify-stream-history-analyis/

You can use Spotify's Download your data tool to request your account details and extended streaming history. After a few days, you'll receive the files by email.

This analysis uses jsonlite to convert raw JSON files to R dataframes, dplyr and tidyr for data manipulation, lubridate to handle dates and times, knitr to display tables and ggplot to create the graphs. To export the graphs as SVG files for further editing in Adobe Illustrator or PowerPoint, you'll also need svglite.

install.packages(c("jsonlite", "dplyr", "tidyr", "lubridate", "ggplot2", "svglite", "knitr"))

To generate an automatic report in RStudio, decompress the JSON files, place them in the input_files directory, open spotify_data_analysis.Rproj and spotify_stream_analysis.qmd, then click the "Render" button (if you're not familiar with Quarto rendering, check this tutorial).

The streaming history contains: Stream end time in UTC, platform used, play time, track details (name, artist, and album), podcast information (episodes and shows), unique identifiers such as track/episode URIs, and various playback details such as shuffle mode, skips, and offline status. You can find a better description of this data in Spotify's Understanding my data article.