In this chapter, we discussed visualizing data using plotting with Matplotlib, pandas, Seaborn, and Bokeh. We covered various plots, such as line plots, pie plots, bar plots, histograms, scatter plots, box plots, bubble charts, heatmaps, KDE plots, violin plots, count plots, joint plots, and pair plots. We focused on accessories for charts, such as titles, labels, legends, layouts, subplots, and annotations. Also, we learned about interactive visualization using Bokeh layouts, interactions, hover tools, and widgets.
The next chapter, Chapter 6, Retrieving, Processing, and Storing Data, will teach us skills of data reading and writing from various sources such as files, objects, and relational and NoSQL databases. Although some people don't consider these skills for data analysis, an independent or assistant data analyst must know how they can fetch data from various file formats and databases for analysis purposes.
