What does the term 'Mapping' refer to in data analysis?

Mapping in data analysis refers to the process of identifying data relationships on a graph. This involves visualizing how different variables or datasets relate to one another, which can help in understanding patterns or associations in the data. It can be particularly useful for decision-making as it visually demonstrates correlations or trends, making complex data more accessible and interpretable.

The focus on relationships means that mapping goes beyond just displaying data or structuring it for retrieval; it actively engages with the analysis of how data points interact. This practice is crucial in revealing insights that might not be obvious through mere data collection or basic analysis, allowing decision-makers to see the bigger picture of data interplay.