In this example, you want to analyze a set of six columns in the
customer table: account number
(account_num), education
(education), email (email), first name
(fname), second name (Iname) and
gender (gender). The statistics presented in the analysis
results are the row count, distinct count, unique count and duplicate count which all
apply on records (values of a set of columns).
The analysis editor opens with the defined analysis
metadata, and a folder for the newly created analysis is displayed under
Analyses in the DQ Repository tree view.
A sample data is displayed in the Data Preview section and the selected columns are displayed
in the Analyzed Column section of the
analysis editor.
In this example, you want to analyze a set of six columns in the customer table:
account number (account_num), education (education), email (email), first name
(fname), second name (Iname) and gender (gender). The statistics presented in the
analysis results are the row count, distinct count, unique count and duplicate
count which all apply on records (values of a set of columns).