Summary

In this chapter, we have visualized different types of graphs for different types of variables. We have also explored how to gain insights into data through the graphs. It is important to realize that, without a clear understanding of the data structure, the plots are meaningless if they are generated without exercising enough caution. The GIGO adage is very true and no rich visualization technique helps overcome this problem.

In the previous chapter, we learned the important methods of importing/exporting data, and visualized the data in different forms. Now that we have an understanding and visual insight of the data, we need to take the next step, namely quantitative analysis of the data. There are roughly two streams of analysis: exploratory and confirmative analysis. It is the former analysis technique that forms the center of the next chapter. As an instance, the scatter plot reveals whether there is a positive, negative, or no association between the two variables. If the association...