datagoboop

The data. It goes boop now.

Overview

datagoboop is package for an audio alternative to data visualization: data sonification. We provide a series of functions for creatively sonifying your data and include sonified versions of the histogram, scatterplot, boxplot, and lm() diagnostics to help get you started.

Installation

In the R console, run:

devtools::install_github("akseong/datagoboop")

Usage

You can use datagoboop in two ways. Either use the provided functions to create an audio summary of your data, or use it as a framework to make R output sounds.

Sonify your data

sonify_hist() - Create an audio histogram. Map the relative frequencies to the pitches of the songs that are played in ascending order of your variable.
sonify_box() - Create an audio boxplot. A sound will slide pitchwise along the distribution of the data. You can compare distributions by comparing the range of pitches being traveled.
sonify_scatter() - Create an audio scatter plot. The x variable will play on a lower register in ascending order while the y variable will play their value in terms of relative pitches.
sonify_mod() - Create model diagnostics from linear model output. Both studentized residuals and qq comparisons.

Make R sing

note(), notes(), and chord() - Create audio vectors that can be played using ...
wplay() - Playback the audio vector using the loaded sound driver. Also creates a play button when knitting an html document using R Markdown.

Customize to your liking!

Don't like synthesized sine waves or pianos? Load in your own sounds for playback using add_inst(). You can vary the pitch of your instrument using the repitch() function!
Make your own audio summaries by mapping data to pitch, volume, duration, phase, etc... We've made the functions as modular as possible so you can make the sounds you want.