Information visualization is a research area that focuses on making structures and content of large and complex data sets visually understandable and interactively analyzable. The goal of information visualization tools and techniques is to increase our ability to gain insight and make decisions for many types of datasets, tasks, and analysis scenarios. With the increase in size and complexity of data sets today, the research area of information visualization increasingly gains in importance and recognition. In this talk I will present principles of data representation and interaction and introduce a number of existing applications, tools, and techniques and show how they can be applied to questions in statistics and statistical learning.