Summary
Visualizations can be useful, powerful, and convincing tools to help illustrate points and drive conversations in specific directions. To create a proper visualization, there are certain steps and techniques that need to be taken to ensure your diagram is correct and effective.
Within this chapter, we explored the six main steps to follow when creating a proper visualization. We also explored many different methods and libraries within the scope of Python to help you create and style visuals for your specific aims. We explored some of the more basic visuals, such as bar plots, histograms, and scatter plots to analyze a few features at a time. We also explored more complex visualizations such as pair plots, heat maps, Sankey diagrams, and molecular representations, with which we can explore many more features.
We also touched on the concept of correlation and how certain features can have relationships with others – a concept we will cover in greater detail as we...
