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https://github.com/hendersontrent/hotter

R package for webscraping, statistical analysis, and data visualisation of the Triple J Hottest 100 Countdown and related data.
https://github.com/hendersontrent/hotter

data-visualisation data-visualization r triple-j webscraping

Last synced: 3 days ago
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R package for webscraping, statistical analysis, and data visualisation of the Triple J Hottest 100 Countdown and related data.

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README

        

---
output: rmarkdown::github_document
---

# hotteR

```{r, include = FALSE}
knitr::opts_chunk$set(
comment = NA, fig.width = 12, fig.height = 8, cache = FALSE)
```

Hottest 100 Countdown and Triple J Plays Webscraping and Analysis in R

## Installation

You can install the development version of `hotteR` from GitHub by running the following:

```{r eval = FALSE}
devtools::install_github("hendersontrent/hotteR")
```

## Motivation

Previous analysis by [Orbisant Analytics](https://www.orbisantanalytics.com/hottest-100) 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.

```{r message = FALSE, warning = FALSE, fig.keep = TRUE, echo = FALSE}
library(hotteR)

do_countdown_analysis(historical_countdowns)
```

## Citation

You can cite `hotteR` using the following:

```{r, echo = FALSE, warning = FALSE, message = FALSE}
citation("hotteR")
```