ABSTRACT
This chapter presents information visualization and visual data mining in the context of Big Data and the Internet of Things (IoT), with a focus on the much-less-discussed topic of the nature of the information produced. It explains approaches based on dimensionality reduction and the creation of representation spaces suitable for visual inspection of the data, based on nonlinear transformations of the original information into lower dimensional spaces. The chapter also presents two examples of publicly available Canadian Federal Government data derived from opinion polls for illustrating the application of the visualization techniques. The data derived from one of the polls are of a less conventional type and cannot be processed using most of the software packages currently used by the data analytics and machine-learning communities. The chapter shows visualization spaces constructed with the data and some results emerging from their visual exploration.
