The principles of visualization methods are useful to follow for creating an effective story. The narratives explained in this chapter give an idea of aesthetics and the vast variation of approaches.

The goal of data visualization is to communicate information clearly and efficiently to the users, via the visual display method selected. Effective visualization helps in analyzing and reasoning about data and evidence. It makes complex data more accessible, understandable, and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic follows the task.

Tables are generally used where users will look up a specific measure of a variable, while charts of various types are used to show patterns or relationships in the data for one or more variables.

Data visualization is both an art and a science and it is like solving a mathematical problem. There is no one right way to solve it. Similarly, there is no one right way to create a visualization method. There are many tools out there for visualization, and we know a few tools that support Python. In the following chapter, more details about these tools will be discussed.