Hottest 100 Countdown and Triple J Plays Webscraping and Analysis in R
You can install the development version of hotteR
from GitHub by
running the following:
devtools::install_github("hendersontrent/hotteR")
Previous analysis by Orbisant Analytics highlighted interesting relationships in the 2019 Triple J Hottest 100 Countdown. This was a fairly discrete piece of analysis, and given the amount of manual work involved, motivated a more scalable and programmatic approach to enable future analysis. An example of analysis that is automated by the package includes the matrix of plots presented below.
You can cite hotteR
using the following:
To cite package 'hotteR' in publications use:
Trent Henderson and Joy Horng (2021). hotteR: Hottest 100 Countdown
and Triple J Plays Webscraping and Analysis in R. R package version
0.1.6.
A BibTeX entry for LaTeX users is
@Manual{,
title = {hotteR: Hottest 100 Countdown and Triple J Plays Webscraping and Analysis in R},
author = {Trent Henderson and Joy Horng},
year = {2021},
note = {R package version 0.1.6},
}
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