When interpreting data, it must be synthesized and integrated. What is an example of this?

Data synthesis and integration may be described as the combination of the output or result of obtained from similar or related findings  in other to come up with a more robust and consistent result.

Data synthesis and integration ensures that the conclusion reached on a topic or subject is very inclusive and takes into account various guiding factors before reaching a conclusion.

These ensures that we have a come up with an efficient interpretation.

For instance, interpreting weather data may involve the synergy and integration of data for various weather components  including temperature, relative humidity, cloudiness, pressure in other to come up with a robust interpretation.

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