What is this website about?
Imagine having (almost) all types of data visualization tools and techniques seamlessly brought together in one place, creating a comprehensive and unified platform for unlocking insights from your data. This consolidated open access hub allows users to employ diverse visualization methods, from statistical plots to cartograms.
THE MAIN IDEA: Step-by-step recreation of published visualizations sourced from scholarly articles, websites, or media sources. All the data visualizations presented in this website are generated using R program. Line-highlighting is employed to accentuate the added code in every step.
Why R for data visualization?
Choosing R for data visualization, particularly when leveraging the grammar of graphics through packages like {ggplot2}
, offers several compelling reasons:
R is open source and freely available, making it accessible to a broad of users.
R, especially with
{ggplot2}
, is renowned for producing high-quality and publication-ready visualizations.The grammar of graphics provides a systematic and structured approach to data visualization. With
{ggplot2}
(and its extensions), users can describe the components of a plot using layers, making it easy to create complex visualizations while maintaining code readability.R has a vibrant and active user community, including statisticians, data scientists, and methodologists.
R, with packages like
{plotly}
and{Shiny}
, supports the creation of interactive visualizations.