Survey Explorer
Descriptive views of the released data
Browse the raw responses from the beer-concept consumer survey. See how people answered each question, which questions moved together, and how groups compared.
Frequencies, cross-tabs, and correlations. Use this to orient before turning to the Model Builder — descriptive prominence and what actually moves purchase intent are not always the same thing.
How to Use This Tool
Pick what you want to know, then which variables, and click Run Analysis. Expand for details.
How to Use This Tool
Pick what you want to know, then which variables, and click Run Analysis. Expand for details.
1. Pick what you want to know
How did people answer? — Frequencies. Which variables matter most for the chosen outcome? — Predictor Strength. Which questions moved together? — Correlations. How did one group compare to another? — Crosstabs (pick exactly two questions).
2. Pick variables
Check the survey questions you want to look at. Use the search box and category buttons (Package Reaction, Brand Knowledge, Beer Preferences, Behavior, Demographics) to find variables quickly.
3. Run and read
Click Run Analysis. Results appear below. The data is unweighted — counts are raw response counts.
Advanced features
Pin runs to compare
Click Pin this run in the results header to save a snapshot. Pinned runs collect at the bottom — expand to compare previous results side by side.
Filter and search
Search by keyword or variable code (e.g. "Q12" or "Bud Light"). Category buttons narrow the list by topic. Click × on any active filter chip to clear it.
Go deeper
Variables you find here can go straight into the Model Builder to test what predicts purchase intent. The Explorer is a good first step before modeling.