In the fields of chemistry and materials science, the rapidly increasing availability of computational chemical data has brought about the informatics approach to the way we explore the immensity of chemical space. These techniques have become important in organic chemistry and biology where the number of possible chemicals of potential interest are impossible to consider without a systematic computational methodology. More recently, these concepts have also been extended to materials science where multiple groups are making efforts to derive chemical understanding from large repositories of bulk data such as Materials Project, 2 AFLOW, and OQMD. From these studies, many new chemical systems of interest have been quickly and efficiently identified by leveraging increasingly powerful computational tools.