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.
Natural groups in your data: how many there are, what sets each apart, how clearly they separate.
How do two categorical variables map together? Biplot of category associations, brands vs attributes, segments vs behaviors.
The shared factors behind several measures: how many the data accepts, what loads on each factor, and how much of every measure they…
Where does my data's family tree naturally split?
What will my customers be worth?
Which items sell together: every pairing with its support, confidence and lift, tested and adjusted for testing many pairs, then…
Which few causes drive most of the problem?
Reduces many measures to a few dimensions, tested against random data, and names what drives each.
Which customers are most valuable and which are slipping away?
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.