![Applied Data Visualization with R and ggplot2 [Instructor Edition]](https://content.packt.com/C11063/cover_image.png){kind=small}
In this chapter, we will learn how to create some specialized graphs. When we have data that is correlated, we may need to depict multiple variables in one plot. We will work on some advanced plotting techniques that combine information from three or more variables in one graph, understand how to view data that varies with time, depict geographically dependent data separately into different regions of a map, and gain an understanding of trends and correlations between variables and different ways to view them.
By the end of this chapter, you will be able to:
- Create various types of plots using advanced plotting techniques
- Create and superimpose density plots for comparing distributions
- Construct time series plots and color differentiated maps
- Utilize trends, correlations, and statistical summaries to reveal data insights
