How should dimension columns be handled in a composite metric worksheet?

In a composite metric worksheet, the correct approach is to remove dimension columns before data summarization. This is because dimension columns often contain categorical data that can complicate the summary process. When summarizing data, the focus is typically on quantitative metrics rather than the categorical identifiers provided by dimension columns.

By removing these dimension columns, you create a clearer and more straightforward dataset that is focused on the metrics themselves, allowing for more accurate and meaningful analysis. This ensures that the data presented in the summary is relevant and concise, enhancing the clarity and effectiveness of the insights derived from the composite metrics.

Adopting this practice facilitates better communication and understanding of the results, as viewers can focus on the metrics without being distracted by extraneous dimensional information. This systematic approach is essential in data analysis, where clarity and relevance are paramount.