Wrangling and Visualizing Musical Data

Project Description

Apply data-wrangling and visualization tools from the tidyverse to musical data. Find the most common chords and chord progressions in a sample of pop/rock music from the 1950s-1990s, and compare the styles of different artists. This project assumes familiarity with standard TidyVerse tools for R, in particular the `tibble` data structure and the `dplyr` and `ggplot2` packages. No specific musical knowledge is required, though it may give you ideas for further exploration of the dataset after completing the project. This project uses a parsed and cleaned version of the [McGill Billboard Dataset](http://ddmal.music.mcgill.ca/research/billboard), version 2.0 (CC0 license).

Project Tasks

1. 1
   Introduction
2. 2
   The most common chords
3. 3
   Visualizing the most common chords
4. 4
   Chord "bigrams"
5. 5
   Visualizing the most common chord progressions
6. 6
   Finding the most common artists
7. 7
   Tagging the corpus
8. 8
   Comparing chords in piano-driven and guitar-driven songs
9. 9
   Comparing chord bigrams in piano-driven and guitar-driven songs
10. 10
    Conclusion