Chapter 3: Getting Interactive Plots with Julia

Interactive visualization is critical for analyzing large and complex datasets, where static plots can show only some aspects. Through interaction, it is possible to explore data more profoundly, which could lead us to formulate new hypotheses or gain further insight into the task at hand.

Julia is a dynamic programming language that lets us be in the loop thanks to its advanced read-eval-print loop (REPL). However, the interactivity we can get with Julia goes even further, thanks to a whole series of packages that significantly improve our experience when analyzing and visualizing data. We have introduced some of those packages in the previous chapters: Plots, Makie, Pluto, and IJulia. In this chapter, we will learn how to use them to create interactive visualizations.

You will learn in this chapter many ways to get interactive visualizations using Julia. We will explore interactive plotting libraries, emphasizing Makie and Plotly...