Abstract: Embodiments described herein are generally related to systems and methods for generating data visualization scores, for use with data analytics environments. In accordance with an embodiment, the system can operate in the manner of an expert system, or according to a series of processes or rules, to examine a data visualization of interest, compare a list of found elements with element types specified by an analytics data visualization score matrix, and generate, based on matching found elements with the analytics data visualization matrix, a data visualization score associated with the data visualization. In accordance with an embodiment, the system can operate as a data visualization advisor, during preparation of a data visualization, to provide a user with recommendations or score values indicative of a quality or complexity of their data visualization, which may be helpful in improving their data visualization, for example from a beginner-level to a more advanced-level.

Abstract: Embodiments described herein are generally related to systems and methods for generating data visualization scores, for use with data analytics environments. In accordance with an embodiment, the system can operate in the manner of an expert system, or according to a series of processes or rules, to examine a data visualization of interest, compare a list of found elements with element types specified by an analytics data visualization score matrix, and generate, based on matching found elements with the analytics data visualization matrix, a data visualization score associated with the data visualization. In accordance with an embodiment, the system can operate as a data visualization advisor, during preparation of a data visualization, to provide a user with recommendations or score values indicative of a quality or complexity of their data visualization, which may be helpful in improving their data visualization, for example from a beginner-level to a more advanced-level.