1. A method for determining which fields, of a plurality of fields in a data set, are interdependent, comprising: determining different levels of interdependence between different pairs of fields of the plurality of fields at least in part by, for each pair of the different pairs of fields: for a respective sample of the data set in said each pair: computing respective measured frequencies of co-occurrences of values in said each pair, computing respective predicted frequencies of co-occurrences of values in said each pair based at least in part on measured frequencies of values in each separate field of said each pair; computing a respective divergence score that measures how divergent values are in the separate fields of said each pair based at least in part on the respective measured frequencies of co-occurrences and the respective predicted frequencies of co-occurrences; determining a maximum divergence score among respective divergence scores computed by said computing a respective divergence score for each pair of said different pairs; scaling the respective divergence score based at least in part on the maximum divergence score to a respective scaled divergence score that is different from the respective divergence score; and identifying a group of fields as interdependent based on said levels of interdependence between different pairs of fields.