Examining Duplicate Data Rows - trillium_discovery - trillium_quality - 17.1

When you import data, Trillium determines which data rows are potentially a duplicate of other rows for an attribute in the entity. You access these discovered row duplicates through an attribute's Summary Data View.

To examine potential duplicate data rows

1. In the Navigation View, click the Discover bar, then click the Entities tab.
2. Expand the entity that contains the attribute whose duplicate rows you want to examine.
3. Click the attribute. The Summary Data View opens for the selected attribute. (If the view does not open, click the Metadata Summaries icon on the Home tab.)
4. Click the Content Summary tab and click Validity to expand it.
5. Note the Value Distribution %, which indicates the distribution of distinct values. If it is not an expected percentage, there may be duplicate row values. For example, if you expect 100% distinct values (no duplicate values), and there is a Value Distribution % of 71, then there are duplicate values in the attribute.
6. Under View Details, click Distinct Values. The Values List View opens.

   Columns in List View

   Column Name	Description
   Value	Contains the duplicated value.
   Frequency	Tells you how many rows are possible duplicates.
   Dist%	Shows in what percentage of the attribute the duplication occurs.

7. Examine the Frequency column. Any value greater than 1 indicates a duplicated value.
8. Right-click a row and select Drill down to matching rows. A filtered Data Row List View of matching duplicate rows displays. Examine the rows to verify that the information is or is not a duplicate.
   Note: You can add a note to the attribute to describe the issue. You can also export the information, either to a file on your system or to the server where it can be submitted as an input file to a Quality data module for processing. See Saving Data in List Views.