The tool supports interface of Foresight Analytics Platform 9 or earlier.

Key Factors Analysis

This type of analysis calculates a degree of influence of each factor on the dependent attribute and detects the most significant factors.

This method operates only on categorical values, that is, non-numeric data: text or True/False values. The numeric input data is transformed into categorical data by means of the Binning procedure.

To work with the Key Factors analysis:

  1. Select data for analysis.

NOTE. For method calculation, selected data must contain at least one attribute and one observation, excluding titles. If data source is:
   - Regular report. Title is the first row in the selected range.
   - Workbook. Titles are series names.
   - Express report, dashboard, data table. Titles are column headers.

  1. Select an analysis type.

  2. Set up analysis parameters:

The following operations are available in the dialog box:

Select an attribute to analyze

Set factors that affect the analyzed attribute

Edit attribute and factors

Click the Next button to go to the next page of the wizard.

  1. Execute required actions on analysis results.

The analysis results can be saved to a file, printed or inserted on the regular report sheet. For details see the Working with Analysis Results section.

Example of the Key Factors analysis results:

If during the analysis warnings occurred, the Warnings additional tab is displayed.

See also:

Selecting Analysis Type | Naive Bayes Classifier | ISmNaiveBayes