1. A computer implemented method comprising: under control of a computing environment having one or more hardware processors, the computing environment comprising one or more physical computing systems configured to process large amounts of data, receiving, by the computing environment, data related to a plurality of points in time; receiving, by the computing environment, input data related to one or more objects, wherein each object of the one or more objects comprises a data container for properties, and wherein each property of the properties comprises one or more property types corresponding to one or more property values, and wherein the one or more objects are retrieved from a non-transitory computer-readable storage medium; determining, from among the one or more objects, one or more non-event objects based on the input data, wherein each non-event object of the one or more non-event objects comprises a property value which has a non-numerical value; determining, from among the one or more objects, one or more event objects based at least in part on an association of the one or more event objects with the one or more non-event objects; creating an object time series of a duration based on the plurality of points in time, wherein each point in time of the plurality of points in time is associated with at least one object of the one or more non-event objects or the one or more event objects; and generating a visual representation of the object time series including representations of the one or more event objects with at least one respective point in time, the one or more non-event objects with at least one respective point in time, and at least one non-numerical value associated with the one or more non-event objects, and wherein the visual representation of the object time series further comprises the object time series as a bar or graph arranged generally horizontally or in landscape manner, with each object associated directly into the bar or graph and associated with at least one respective point in time on the object time series.