A. To outline the steps in a manufacturing process
B. To compare sales data from multiple regions
C. To display the distribution of customer feedback ratings
D. To show the relationship between advertising spend and sales volume
A. Number of page views to the site
B. Selection of relevant eVars and events
C. Historical data from similar product launches
D. The visual design of the report
A. Distributions of a single metric
B. Progression through a predefined path
C. Geographic data distributions
D. Correlations between two metrics
A. eVars and props both persist data indefinitely.
B. eVars persist data across multiple visits, while props track data for a single page view or visit.
C. eVars do not persist data, whereas props do.
D. There is no difference in data persistence between eVars and props.
A. By increasing the data processing time
B. By reducing the need for external data sources
C. By simplifying user interfaces
D. By providing deeper insights through custom formulations
A. based on real-time data
B. shared publicly
C. compatible with the report's metrics
D. saved under a generic name
A. Focus solely on quantitative data
B. Consider both quantitative and qualitative data
C. Ignore qualitative insights
D. Prioritize external data over internal data
