Data presentation should be clear and precise, using tables, graphs, and figures where appropriate. The interpretation of data should involve discussing the observed trends, comparing results with existing literature, and providing possible explanations for the findings. It is important to highlight any anomalous results and suggest reasons for their occurrence.
