Explicit representation is a form of data representation where the data is directly stated or shown in a clear and unambiguous manner. This means that the data is specifically and fully described, without any hidden or implicit meanings.
Explicit representation differs from implicit representation in that the former directly states or shows the data, while the latter relies on context or background knowledge for interpretation. Explicit representation is more precise and leaves less room for ambiguity.
Some examples of explicit representation include written language, mathematical equations, diagrams, and visual aids such as graphs and charts. These forms of representation clearly state or show the data without any additional interpretation needed.
Explicit representation is important in scientific research because it allows for accurate and precise communication of data. This is crucial in ensuring that researchers are able to understand and replicate each other's work, leading to the advancement of knowledge and understanding in a particular field.
Explicit representation can be beneficial in data analysis as it allows for a more systematic and organized approach. By clearly stating and showing the data, researchers can easily identify patterns, trends, and relationships, leading to more accurate and reliable conclusions.