Abstract: Systems and methods are provided for analyzing data in one or more datasets. One or more data objects can be searched for within the one or more datasets. One or more visualizations can be generated based on the results of the search for the one or more data objects in the one or more datasets. When a user interacts with a visualization, e.g., by applying a filter, removing a filter, focusing on a particular subset of the one or more data object, etc., the visualization is updated automatically. Moreover, other visualizations generated based on the same search results may be simultaneously and automatically updated and presented to the user. Rather than a user having to analyze and consume data in a tabular format, the user can interact with representative visualizations to more readily discover and/or reveal aspects of the one or more data objects that would normally be hidden in the tabular format.

Abstract: Computer-implemented systems and methods are disclosed for representing an object model, wherein the systems and methods acquire information about a plurality of entities associated with an object model and acquire information about a plurality of events associated with the plurality of entities, wherein some of the plurality of events include temporal information of the entities. In accordance with some embodiments, the systems and methods further evaluate relationships of the entities using the information about the plurality of events and generate a representation of the relationships of the entities using the temporal information. In accordance with some embodiments, the systems and methods receive user input and update the representation in response to the user input. In accordance with some embodiments, the representation includes events placed on timelines corresponding to the entities. In accordance with some embodiments, the systems and methods include a map displaying location information.