1. A processor-implemented method for multi-sensor visual analytics, comprising: acquiring sensor data associated with a plurality of sensors for a plurality of days of operation, via one or more hardware processors; computing a plurality of multi-dimensional histograms associated with the plurality of sensors from the sensor data, via the one or more hardware processors, the plurality of multi-dimensional histograms comprising operational profiles of the plurality of sensors, and wherein the plurality of multi-dimensional histograms comprising one of two dimensional and three dimensional histograms; monitoring the plurality of multi-dimensional histograms and obtaining a plurality of multi-sensor patterns from the plurality of multi-dimensional histograms, via the one or more hardware processors, the plurality of multi-sensor patterns indicative of one or more properties of a plurality of sensor-clusters of the plurality of sensors; performing one or more visual analytical tasks by processing the plurality of multi-sensor patterns using at least one machine-learning model, via the one or more hardware processors; and rendering one or more visual models based on the processing of the multi-sensor patterns, via the one or more hardware processors.