Data Investigation
The Association Analysis tool determines which fields in a database have a bivariate association.
The Basic Data Profile tool analyzes data and provides metadata for each column (field) of data.
Contingency Table tool looks at up to four variables/fields and how they relate to each other.
Fit one or more distributions to the input data and compare them based on Goodness-of-Fit* statistic
The Field Summary tool analyzes data and creates a summary report containing descriptive statistics.
The Frequency Table tool helps the user understand the contents of their data.
The Heat Plot tool uses a heat plot color map to show the joint distribution of two variables.
The tool provides a histogram for empirical cumulative distribution of a single numeric field.
The Importance Weight tool provides methods for selecting variables to use in a predictive model.
The Pearson Correlation tool uses the PMCC to measure the correlation between two variables.
Takes a numeric field with a categorical field and plots the mean for each of the categories.
The Scatterplot tool makes enhanced scatterplots, with more options.
The tool assesses how well a monotonic function could describe the relationship between variables.
The tool shows a numeric variable's distribution, density of the distribution and density of values.