Static versus Interactive Visualization

While static data visualizations are a giant leap forward toward the goal of extracting and explaining the value and information that datasets hold, the addition of interactivity takes these visualizations a step ahead.

Interactive data visualizations have the following qualities:

• They are easier to explore as they allow you to interact with data by changing colors, parameters, and plots.
• They can be manipulated easily and instantly. Since you can interact with them, the graphs can be changed in front of you. For example, in the exercises and activities in this chapter, you will create an interactive slider. When the position of this slider is altered and the graph you see changes, you will also be able to create checkboxes that allow you to select the parameters you wish to see.
• They enable access to real-time data and the insights they provide. This allows for the efficient and quick analysis of trends.
• They are easier...