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In the Analysis Parameter view and in the
Number of connections per analysis field,
set the number of concurrent connections allowed per analysis to the selected
database, if required.
You can set this number according to the database available resources, that is the number of concurrent connections each database can support.
Save the analysis and press F6 to
An information pop-up opens to confirm that the operation is in progress and the analysis editor switches to the Analysis Results view.This functional dependency analysis evaluated the records present in the city column and those present in the state_province column against each other to see if the city names match to the listed state names and vice versa. The returned results, in the %Match column, indicate the functional dependency strength for each determinant column. The records that do not match are indicated in red.The #Match column in the result table lists the numbers of the distinct determinant values in each of the analyzed columns. The #row column in the analysis results lists the actual relations between the determinant attribute and the dependant attribute. In this example, #Match in the first row of the result table represents the number of distinct cities, and #row represents the number of distinct pairs (city, state_province). Since these two numbers are not equal, then the functional dependency relationship here is only partial and the ratio of the numbers (%Match) measures the actual dependency strength. When these numbers are equal, you have a "strict" functional dependency relationship, that is to say each city appears only once with each state.Note: The presence of null values in either of the two analyzed columns will lessen the "dependency strength". The system does not ignore null values, but rather calculates them as values that violates the functional dependency.
In the Analysis Results view, right-click any
of the dependency lines and select:
View valid/invalid rows
access a list in the SQL editor of all valid/invalid rows measured according to the functional dependencies analysis
View valid/invalid values
access a list in the SQL editor of all valid/invalid values measured according to the functional dependencies analysis
View detailed valid/detailed invalid values
access a detailed list in the SQL editor of all valid/invalid values measured according to the functional dependencies analysisFrom the SQL editor, you can save the executed query and list it under the Libraries > Source Files folders in the DQ Repository tree view if you click the save icon on the editor toolbar. For more information, see Saving the queries executed on indicators.