[Content Request] Highcharter Package in R for Data Visualization Section

[MatthijstenTije]

Context

The Highcharter is a R package for data visualization. Highcharts produces dynamic visualizations. I came across this package when working on some data visualizations, and I was impressed with the high quality basic visualization aesthetics. Further, it's seems very flexible in adding layers, to a graph. While we have covered plotly for dynamic visualizations, it seems to beneficial to dive in this package as well. It has some nice features, as it can be combined with the survival package for survival analysis visualizations.

Deliverables

1. Basic Tutorial on Highcharter

• Getting Started: An introduction to the Highcharter package, covering installation and basic usage, showcasing how to create some different graphs, to get users quickly up to speed.
• Exploring Features: Step-by-step tutorials showcasing how to add customizaitions, themes, legends, axis control, and annotations, for control over the aesthetic aspects of the graph.

2. Statistical Visualization with Highcharter

• Statistical Integration: Integration of regression analysis within charts, highlighting a plugin that enables the addition of regression series and the calculation of the r-squared value. Also exploring options for showcasing these details in the chart legend.
• Regression Extension: Methods for extending regression analysis to various series or groups, thereby adding analytical depth to the visualizations.

3. Extension on the Survival Analysis Article

Explores the application of Highcharter for visualizing survival analysis data, leveraging direct integration with the survival package.

4. Optional: Cheatsheet

Due to the somewhat different syntax, for a solely R user. A cheatsheet about the package. Could be interesting.

Sources I came Across

• https://jkunst.com/highcharter/articles/highcharter.html
• https://www.datacamp.com/tutorial/data-visualization-highcharter-r