In the last chapter, we read about Pandas, the library with various functions for preparing data in order to make it ready for analysis and visualization. Visualization is a means to understand patterns in your data, identify outliers and other points of interest, and present our findings to an outside audience, without having to sift through data manually. Visualization also helps us to glean information from raw data and gain insights that would otherwise be difficult to draw.
After going through this chapter, you will be able to understand the ...
