1. User’s Guide for Oracle Analytics Desktop
  2. Connect to Your Data Using Datasets
  3. Enhance Your Data Using Quality Tiles

Enhance Your Data Using Quality Tiles

When you edit a dataset in the transform editor, Oracle Analytics displays a quality tile for each data column, which displays a visual summary of data quality and enables you to analyze data quality and enhance your data.

  1. On the Home page, open a dataset or workbook.
    • Hover over the dataset, click Actions, and then select Open. In the Data Diagram or Join Diagram, right-click a data source and click Open to display the transform editor.
    • Hover over the workbook that contains the dataset, click Actions, then select Open, then click Data. In the Data Diagram or Join Diagram, right-click a data source and click Open to display the transform editor.
  2. Use the quality insights to get an instant assessment of the quality of content in that column based on a deep semantic understanding of the data.
    For example, hover over a quality bar to see how many valid and invalid values are in the column. Click on areas marked in red to filter on invalid values.
  3. To explore your data by applying a temporary filter, click one or more values to use as a filter.
    Oracle Analytics highlights filter values with a green box. To unfilter a value, click the value again.
    When you filter on values, Oracle Analytics updates all data columns to instantly display only the rows relating to the filter values you selected. If you filter a value nearer the bottom of a long list, you might have to scroll down the list to locate it so that you can deselect the value.
    Note: Temporary filters that you apply in quality tiles aren't saved with your data (that is, aren't added to the data preparation script).
  4. To rename a column, click the column name to edit the value.
  5. To edit values.
    1. In the quality tile, double-click the value you want to change.
    2. Oracle Analytics inserts the value that you specify into every row that contained the original value.
  6. To fix null or missing values:
    1. In the quality tile, scroll to the last value in the list.
      If your data has missing values, you see Missing or Null highlighted in red.
      Description of quality-insights-cleanse-1.png follows
      Description of the illustration quality-insights-cleanse-1.png
    2. Double-click Missing or Null, then enter the value you want to use.
      Oracle Analytics inserts the value that you specify into every Missing or Null row.
      Description of quality-insights-cleanse-2.png follows
      Description of the illustration quality-insights-cleanse-2.png
    Changes that you apply in the quality insight tiles are added to the data preparation script (except for filters).