Data Visualization

It is said that a picture is worth a thousand words. Through various pictures and graphical presentations, we can express many abstract concepts, theories, data patterns, or certain ideas much clearer. In this chapter, we first explain why we should care about data visualization. After that, we will discuss several techniques often used for data visualization in R, Python, and Julia. Several special topics will be introduced, such as how to generate a graph, pie chart, and bar chart, how to add a title, trend line, Greek letters, and how to output our graphs. An optional topic at the end of the chapter will discuss dynamic presentations and how to save them as HTML files.

In this chapter, the following topics will be covered:

• Importance of data visualization
• Data visualization in R
• Data visualization in Python
• Data visualization in Julia
• Drawing simple graphs
• Visualization packages for R, Python, and Julia
• Dynamic visualization