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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  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

Marking a Cell as Invalid

Marking a Cell as Invalid

Some cells on a data analysis visualization might not be applicable for the analysis. You might not require the data that the cell represents. You can mark a cell that you do not want to consider in the analysis as invalid. You can change this if you want to include the cell in the analysis.
  1. Open the data set that contains the data coverage task that you want to edit.
  2. Click the
    Data Coverage
    tab.
  3. Click the data coverage task that you want to edit.
    The data coverage page opens. The graph displays the results of the last analysis that you performed.
  4. Select the cell on the graph that you want to mark as invalid. The cell is highlighted with a green border.
  5. Right-click the selected cell and click
    Mark as Invalid
    .
    The cell greys out to indicate it is invalid. This does not affect the results in other cells.
  6. Optional. To mark the cell as valid, right-click the selected cell and click
    Mark as Valid
    .