In this part we will use Processing to visualize data. R is great for data analysis, but Processing is great for both static and dynamic visualization of data and information. Integrating the two is an optimal solution for the data scientist. The immediate disadvantage of using a tool like Processing instead of R for data visualization is that you have to write a bit of code. The main advantage is that you can design and realize your preferred visualization at pixel level.