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 help measure engagement efficiency. Which technique best describes this approach?
Applying normalization to reduce data redundancy
Combining multiple datasets into a single table
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 transposition, involve combining datasets or restructuring a table’s format rather than calculating a new metric from existing columns.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is a derived variable?
Open an interactive chat with Bash
Why is measuring engagement efficiency important?
Open an interactive chat with Bash
What are some other common techniques for data analysis?