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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Data Subset
  8. Data Masking
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Data Type Reference
  21. Data Type Reference for Test Data Warehouse
  22. Data Type Reference for Hadoop
  23. Glossary

Data Coverage Analysis Page

Data Coverage Analysis Page

A data coverage analysis page plots the data in pairs of columns in a graph. The results display the data coverage for combinations of values.
This following image shows a data coverage analysis page:
The image shows a Data Coverage Analysis page with a Department column plotted on the X axis and Job column plotted on the Y axis. The cell representing data for the job President in the Human Resources department is selected. The Jobs Pending button indicates that there is one Fill Cell job pending.
The following list describes the properties and options on a data analysis page:
  1. X axis. The X axis plots one of the columns that you use in the analysis. In the image, values in the DEPARTMENT column are plotted along the X axis.
  2. Y axis. The Y axis plots the second column that you use in the analysis. In the image, values in the JOB column are plotted along the Y axis.
  3. Scroll buttons for the X and Y axes. The scroll button is visible when the values that you plot exceed the space available on the page.
  4. Slider. Click the slider button to expand or collapse the list of data coverage task columns.
  5. Add columns. Click the Add Columns button to create a data coverage task column.
  6. Filter columns. Data coverage task columns that you can use as filters to further configure the analysis. You can add up to two filter columns.
  7. Jobs pending. Click the Jobs Pending button to display a list of jobs that require user input to complete.
  8. Analyze. Click the Analyze button to perform the analysis based on columns that you add to the X and Y axes.
  9. Fill cell. Select a cell on the graph and click the Fill Cell button to update the data count in the cell. You can then select the cells from which you want to edit the data count.
  10. Mark as invalid. Select a cell and click the Mark as Invalid button to exclude a cell from the analysis. The cell becomes unavailable in the graph. Use this option for cells that represent combinations of data that might not be valid for the analysis.
  11. Mark as valid. Select a cell that you marked as invalid and click the Mark as Valid button to include the cell in the analysis.
  12. Data count settings. Click the Data Count settings button to edit the minimum and maximum data count values for the analysis. You can also drag the markers along the data count bar.