User Guide > Analyzing Test Data with Data Coverage > Creating a Data Coverage Task
  

Creating a Data Coverage Task

Create a data coverage task to analyze the data coverage across combinations of data values, ranges, or groups.
    1. Open the data set that contains the data that you want to analyze.
    2. Click the Data Coverage tab.
    3. Click Actions > New.
    4. Enter a name and optional description for the data coverage task.
    5. Enter the minimum threshold value.
    The minimum threshold represents the minimum number of values you require to consider the data density adequate.
    6. Click Next.
    7. Select the master table for the data coverage task.
    The related tables appear in the Related Tables list. You can remove tables that you do not want to include in the analysis.
    8. Optional. Click the Addbutton of a related table to add tables related to the table.
    You can enter an alias name if you want to use a different name to identify the table in the task. Alias names must be unique within a task. If you use a single table multiple times, use a different alias each time.
    9. Click Finish to create the task.
    The data coverage page opens.
    10. Configure the data coverage task. Create the columns that you want to use in the analysis.
    11. From the Columns pane, select a column that you want to add to the X axis on the graph and click Move to X. You can also click the required column name from the list of columns and drag the column into the X Axis field.
    The column values are plotted along the X axis.
    12. Select and add a column to the Y axis.
    The column values are plotted along the Y axis.
    13. Optional. Edit the data count threshold.
    14. Optional. Add a filter column to filter results based on column criteria.
    You can add two filters.
    15. Click Analyze.
    The data coverage analysis results appear on the graph. Data coverage is represented based on the minimum and maximum data count values that you set. The color of the cell indicates the density of data. White indicates no data, light blue indicates data below the minimum threshold, and dark blue indicates a higher data density than the minimum threshold that you set.
    16. Optional. Click the X Axis field or the Y Axis field and select specific cells from the list to view specific results.