What does sensor data typically include?

Sensor data typically includes values, a time stamp, and a location because these components provide a comprehensive context for interpreting the information being collected. The values represent the measurements or readings taken by the sensor, which could pertain to various physical properties such as temperature, humidity, light levels, etc. The time stamp indicates when the data was collected, which is crucial for time-sensitive applications and analyses, helping to track changes over time. Additionally, the location specifies where the sensor is positioned, which is vital for geospatial analysis, allowing users to understand spatial relationships and patterns. Together, these elements give a complete picture of the sensor's data, enabling effective decision-making and data analysis in IoT applications.