This chapter has presented the wide variety of graphics options available to the Julia programmer.
In addition to the more popular packages, such as
PyPlot, we identified others such as
PGFPlots. Although, they may be less familiar, but they offer additional approaches in the production of graphical and pictorial displays.
Also, we looked at how the
Plotly system can be utilized in Julia to generate, manipulate, and store data visualizations online.
Finally, we discussed the means by which raster graphics and imagery can be processed and displayed.
In the next chapter, we will return to the subject of accessing data by looking at the various ways with which we can interact with SQL and NoSQL databases ...