In a more and more data-driven society, it is of crucial importance to be able to deeply understand large and complex datasets. Insights into the contents and quality of data is important in developing AI applications, but also directly if this data has been collected to study a process, such as done by scientists. In this project we develop algorithms and systems to interactively study data, by means of visualization and the mining and explanation of patterns present in the data.