Compare two groups? Find what drives an outcome? Spot a trend? The question decides the statistics — get this wrong and everything downstream is wrong too. More are in build.
That is the actual report this analysis produces — not a mock-up. Every analysis on this page delivers the same shape of output on your own data.
Every analysis classified under this question.
Standard-library analysis: discover the natural groups hiding in your data. K-means clustering on standardized features with the number
How do two categorical variables map together? Biplot of category associations — brands vs attributes, segments vs behaviors.
Library tool, v2: maximum-likelihood exploratory factor analysis of the numeric measures you choose. Models the SHARED variance behind
Where does my data's family tree naturally split?
What will my customers be worth?
Library tool, v2: market basket analysis of a transaction log. Baskets are reconstructed from one row per item per order; every pair of
Which few causes drive most of the problem?
Library tool, v2: principal component analysis of two to twelve measures, the kept count by parallel analysis, varimax-rotated loadings
Who are my best customers?
Library tool, v2: recency, frequency and monetary scores in fifths from a transaction log, the standard segments from Champions to Hibe
What hidden segments exist in categorical responses? Model-based clustering for survey and choice data.
Tell us what went wrong, in your own words. We capture the page you're on automatically, so no need to describe where you are.