Introduction

As we discussed in the previous chapters, data visualizations are graphical representations of information and data. Their purpose is to extract values from multiples rows and columns of numbers and data that are otherwise difficult to comprehend and represent them in graphically appealing plots. As a result, data visualizations can provide key insights regarding data at a glance. This is something that raw data, and even analyzed data in tabular form, is unable to do.

We discussed static data visualizations in the previous chapter – graphs and plots that are stagnant and cannot be modified or interacted with in real time by the audience.

Interactive data visualizations are a step ahead of static ones. Let's take a look at the term interactive to understand how. The definition of interactive is something that involves communication between two or more things or people that work together. Therefore, interactive visualizations are graphical representations...