Multidimensional data analytics and human perception

Catalog description

Big data are not only refered to big number of data points, the big number of features or dimesions are also challenging. To understand the pattern, similarities of data points and their density within a group, there are different ways of visualization. However, to understand people's perception and cognition over these similarities, we have to learn different visual measures. Some of these measurements can be calculated computationally and some of them through different usuability tests that include eyetracking tools, EEG (electroencephalogram), etc. In this class, we learn why visualization is important for multidimensional datasets and which visualization tool need to be used and how to analyze it for people.