Description: The item value type is a fundamental concept in the field of data monitoring, as it defines the format in which data is collected and stored for a specific element. This type can be numeric, string, boolean, among others, and determines how data is interpreted and processed in monitoring systems. The correct definition of the value type is crucial to ensure the integrity and accuracy of the collected information, as an incorrect data type can lead to errors in analysis and decision-making. Furthermore, the item value type influences how data is visualized, affecting the presentation and usability of generated reports. In monitoring systems, it is common to use different value types to represent various metrics, such as temperatures, pressure levels, device states, among others. The appropriate choice of value type not only optimizes data storage but also facilitates interoperability between different systems and analysis tools, allowing for better integration and analysis of information.
