Composite relationship discovery framework

A method comprising:

• receiving a set of data including a plurality of continuous features and a discrete feature, each of the plurality of continuous features associated with a plurality of values and the discrete feature associated with a plurality of discrete values;
• for each of the plurality of continuous features, determining a relationship factor representing a relationship between the discrete feature and the continuous feature based on the plurality of values associated with the continuous feature and the plurality of discrete values;
• identifying one of the plurality of continuous features associated with a largest one of the determined relationship factors;
• for each of the plurality of continuous features other than the identified continuous feature, generating a correlation factor representing a correlation between the continuous feature and the identified continuous feature;
• for each of the plurality of continuous features other than the identified continuous feature, determining a composite relationship score based on the relationship factor and the correlation factor associated with the feature;
• and
• presenting a visualization associated with the discrete feature, the identified continuous feature, and a continuous feature associated with a largest composite relationship score.

A non-transitory medium storing processor-executable program code executable by a processing unit of a computing system to cause the computing system to:

• receive a set of data including a plurality of continuous features and a discrete feature, each of the plurality of continuous features associated with a plurality of values and the discrete feature associated with a plurality of discrete values;
• for each of the plurality of continuous features, determine a relationship factor representing a relationship between the discrete feature and the continuous feature based on the plurality of values associated with the continuous feature and the plurality of discrete values;
• identify one of the plurality of continuous features associated with a largest one of the determined relationship factors;
• for each of the plurality of continuous features other than the identified continuous feature, generate a correlation factor representing a correlation between the continuous feature and the identified continuous feature;
• for each of the plurality of continuous features other than the identified continuous feature, determine a composite relationship score based on the relationship factor and the correlation factor associated with the feature;
• and
• present a visualization associated with the discrete feature, the identified continuous feature, and a continuous feature associated with a largest composite relationship score.