Plotly.R: An Open Source Graphing Library for R language
A brief introduction to the project:
Housed under the public GitHub repository, Plotly.R is a renowned project engendered with a mission to bring the best of statistical and visual capabilities of R language to the fingertips of developers and data analysts globally. This open-source graphing library, geared towards both novices and proficient R users, has become an indispensable tool in handling a variety of data forms.
Project Overview:
Plotly.R aims to assist its users by providing a simple and interactive interface to make visually appealing and interactive data plots and graphical representations. Data scientists, statisticians, and students who work extensively with R language form the primary user base of Plotly.R. Plotly.R caters to a range of users, from those aiming to make impactful graphs for presentations and publications to those working with large datasets, making it a vital tool in the scientific computing arsenal.
Project Features:
Plotly.R shines with its power-packed functionalities and features. It harnesses the power of plotly.js, providing 30+ chart types including statistical, 3D, geographic, financial and scientific graphs. Whether it’s scatterplots, histograms, line graphs, or even 3D graphs, Plotly.R has got it all covered. The user-friendly interface of Plotly.R ensures smooth work-flow, enabling users to build, customize and share their creative visualizations effortlessly. Its unique feature of providing hover effects, zoom capability, and toggle traces empower users to interactively analyse their visualizations, thereby adding a dynamic aspect to their graphs.
Technology Stack:
Plotly.R is written purely in R language, leveraging its statistical and graphical prowess. Technologies such as plotly.js, a high-level declarative charting library built atop djs and stack.gl, are instrumental in rendering the graphs. The use of HTMLwidgets brings the best of JavaScript data visualization libraries to R and makes Plotly.R compatible with shiny, R Markdown documents, and RStudio viewer.
Project Structure and Architecture:
Plotly.R is well-organized, having separate modules for every chart type, that enables interchangeability and modularity in creating complex graphics. It also includes modules for transforms, animations, and events. JS events in Plotly.R are designed to tie custom controls to plotly.js events and outputs, thus fostering more interactive and intricate graphs.
