3d Visualization Using The Rgl Package
In the early 1990s, a group of people at Silicon Graphcs realized the need for
more effective systems and functions to render 3d graphics onto computer
displays. As a result, they created the OpenGL library. In this modern
day, statistical data analysis is becoming more and more consequential in
importance. As a result, we need systems that can help us visualize our data
in three dimensional forms. How else do we get to know, for example, the
effect of the number of tackles and distance covered in determining how many
shots on target a football team concedes per match? How do we put into
visual context the greatness of the 2015-16 Golden State Warriors’ volume
shooting and efficiency with respect to other eras of great basketball teams,
say, the 1990s Chicago Bulls? Enter the rgl package(that exists on the
OpenGL platform), which enables its user to make 3D illustrations of the data
being processed into information on monitors for data scientists using the R
Programming Language.Rgl provides real time, interactive rendering of 3D
graphics that provides additional insight into three-dimensional relationships.
Our research question is to highlight the numerous capabilities of the rgl
package, and to analyze the statistical ease which it brings.