Which of the following best defines 'sensor data'?

'Sensor data' refers to measurements collected from various types of sensors that capture real-world phenomena. This data is characterized by specific values that reflect measurements taken at particular times and locations. For example, a temperature sensor might provide data indicating the temperature at a given time and place, including the exact readings, the timestamp of when the measurement was taken, and the geographical coordinates where it was gathered. This precise and contextual information is crucial for the proper analysis and application of sensor data in fields such as IoT, analytics, and automated decision-making.

Other choices, while related to data, do not accurately capture the essence of sensor data. Information stored on cloud servers relates to data management but lacks the specificity of measurements that characterizes sensor data. Raw data with no defined parameters is too vague and does not convey the structured nature of sensor outputs, which are inherently tied to specific measurements. Finally, visual representations of data trends pertain more to data analysis or presentation rather than the raw, quantifiable data produced by sensors.