Abstract: A computing system receives as candidate predictors, for a model set, a list of terms for computer identification in dataset(s). The system receives initial user selections in the graphical user interface (GUI) of a term set, a response variable, and target value(s) for the response variable. The term set comprises candidate predictors from the list. The response variable is for a response to input to an initial model of the model set. The system generates the initial model that estimates a relationship between the target value(s) and the term set. The system displays in the GUI a performance representation of the initial model for user comparison of models and an indication of a contribution, to the initial model, of terms of a subset of the term set. The system receives a subsequent user selection, in the GUI, to change an aspect of the initial model.

Abstract: A computing system receives as candidate predictors, for a model set, a list of terms for computer identification in dataset(s). The system receives initial user selections in the graphical user interface (GUI) of a term set, a response variable, and target value(s) for the response variable. The term set comprises candidate predictors from the list. The response variable is for a response to input to an initial model of the model set. The system generates the initial model that estimates a relationship between the target value(s) and the term set. The system displays in the GUI a performance representation of the initial model for user comparison of models and an indication of a contribution, to the initial model, of terms of a subset of the term set. The system receives a subsequent user selection, in the GUI, to change an aspect of the initial model.

Abstract: A method of proportional highlighting of data is provided. A graph presented on a display includes a first axis, a second axis, and a first value marker that indicates a value determined from data selected for presentation. The first axis includes a minimum value and a maximum value. The second axis includes a plurality of category values. An indicator identifying a subset of the data is received. A proportional value is determined for the first value marker based on the received indicator. A second value marker indicating the proportional value is presented on the graph overlaid on the first value marker when the determined proportional value is between the minimum value and the maximum value. A scale adjustment marker is presented on the graph without adjusting the first axis when the determined proportional value is not between the minimum value and the maximum value.

Abstract: A method of proportional highlighting of data is provided. A graph presented on a display includes a first axis, a second axis, and a first value marker that indicates a value determined from data selected for presentation. The first axis includes a minimum value and a maximum value. The second axis includes a plurality of category values. An indicator identifying a subset of the data is received. A proportional value is determined for the first value marker based on the received indicator. A second value marker indicating the proportional value is presented on the graph overlaid on the first value marker when the determined proportional value is between the minimum value and the maximum value. A scale adjustment marker is presented on the graph without adjusting the first axis when the determined proportional value is not between the minimum value and the maximum value.