An online community platform collects data on each user's total session time and the number of community posts read. The analytics team plans to build a new column by dividing total session time by posts read to measure engagement efficiency. Which technique best describes this approach?
Synthesizing a new metric from existing fields
Restructuring rows and columns for a different layout
Creating a new data field from existing columns is a form of constructing a derived variable. It involves transforming one or more existing metrics into a new analytical measure. Other techniques, such as merging, normalization, and transposing, involve combining datasets or restructuring a table's format rather than calculating a new metric from existing columns.
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What is a derived variable in data analysis?
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How does synthesizing a new metric differ from data normalization?
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When should you use synthesized metrics in analytics?