ABSTRACT
This chapter discusses the data, the tasks, and the context as key influencing factors of interactive visual data analysis. Visual variables and marks are the basic building blocks of visualization techniques. In terms of interaction for visual data analysis, it builds upon basic operations and discusses fundamental selection and accentuation techniques. Zooming is a fundamental technique to satisfy the need for an overview of the data and also for finer details of selected parts of the data. The chapter describes the principal component analysis as a tool to address the challenge of analyzing data with very many variables. The key idea was to project the original high-dimensional data space to a lower-dimensional space. The chapter also presents some closing thoughts on the concepts covered in this book.
