Portraying any data, events, concepts, information, processes, or methods graphically has been always perceived with a high degree of comprehension on one hand and is easily marketable on the other. Presenting results to stakeholders is very complex in the sense that our audience may not be technical enough to understand programming jargon and technicalities. Hence, visual aids are widely used. In this chapter, we discussed how to use such data visualization tools.
In the next chapter, we are going to get started with exploratory data analysis in a very simple way. We will try to analyze our mailbox and analyze what type of emails we send and receive.
