Graphics are visual images or designs on some surface, such as a wall, can vas, screen, paper, or stone to inform, illustrate, or entertain. In contemporary usage, it includes: pictorial representation of data, as in computer-aided de sign and manufacture, in typesetting and the graphic arts, and in educational and recreational software. Images that are generated by a computer are called computer graphics. Examples are photographs, drawings, Line art, graphs, di agrams, typography, numbers, symbols, geometric designs, maps, engineering drawings, or other images. Graphics often combine text, illustration, and color. While doing data analysis, one can come up with Numerical summaries and Graphical summaries. Numerical summaries include: mean, correlation and standard deviations. Under graphical summaries, if data has one variable, then boxplots and histograms are used, if the data has two variables, scatterplots are used, and if the data has many variables (more than two), interactive graphics are used. In this study, we aim at showing the uses, methods and application of different R packages under graphics. We use data on the sales of video games in different regions of the world in the period 1978-2016 to generate different graphs and charts using R. To achieve this, we used the packages plotrix and ggplot2. We came up with different graphs and charts while analyzing the data we chose. This showed the importance of R packages under graphics and how they can be applied in computational methods and data analysis.