Data visualization is the initial move in the data analysis system toward easily understanding and communicating information. It represents information and data in graphical form using visual elements such as charts, graphs, plots, and maps. It helps analysts to understand patterns, trends, outliers, distributions, and relationships. Data visualization is an efficient way to deal with a large number of datasets.
Python offers various libraries for data visualization, such as Matplotlib, Seaborn, and Bokeh. In this chapter, we will first focus on Matplotlib, which is the basic Python library for visualization. After Matplotlib, we will explore Seaborn, which uses Matplotlib and offers high-level and advanced statistical plots. In the end, we will work on interactive data visualization using Bokeh. We will also explore pandas plotting. The following is a list...
