View profiling details at the dataset level - Precisely Data Integrity Suite

1. Table Summary: This section displays the following details
   1. Effective date: It displays the latest timestamp of the profile run.
   2. Total row count: Total number of rows considered for profiling.
   3. Sample row count: Number of rows present in the generated sample
   4. You can view the previous profile runs by clicking the arrows and at any point, you can switch back to view the details of the Latest profile run.
   5. You can click the refresh icon and choose to re-run basic or advanced profiling for the selected dataset.
      Tip: You must have the Operate Rules and Scores permission to update the profiling.
   6. You may also click the scheduling icon to view the profiling details for the selected time period. Please note that the available periods begin from the date on which the field was initially profiled.
2. Asset details: The asset details table shows information about fields connected to profiling. The specific details you see at the field level for datasets depend on whether basic or advanced profiling is enabled for the datasource. Some of the values listed below are only available if advanced profiling is turned on.
   1. Field: Name of the field associated with the profiling details
   2. Data type: The data type in the field.
   3. Last Profiling: Shows the most recent date the field was profiled.
   4. Popularity: Shows the number of times the field is used in the database queries. This is the count of both manual queries run on your database instance and queries run during Profile/Observer runs.
   5. Null count: Displays the number of null values in every row of the table.
   6. Blank count: Displays the number of blank values in every row of the table.
   7. Distinct values: Display the count of all the records present in your data source irrespective of those being unique or non-unique records.
   8. Semantic type:* Limited Availability Displays the detected semantic type. It will not be displayed if the semantic type is not detected in the data. Click the refresh icon next to the corresponding semantic type to re-run the semantic type detection and identify the semantic type. If you run semantic type detection again, you'll see the timestamp of the latest execution by hovering over the semantic type. A semantic type job will also appear in the assessments tab under Quality jobs to show its progress.
   9. Minimum value: Represents the lowest value for numerical data or the earliest date in a dataset.
   10. Maximum value: Refers to the greatest numerical value or the latest date present within a given dataset.
   11. Minimum length: Minimum length is the smallest length of the text in the textual dataset. For example, the set CITY={Sao Paulo, Mexico, Tokyo, Shanghai, Cairo, Mumbai} contains the lowest value for "Cairo" and "Tokyo". The minimum length of the set CITY is 5.
   12. Maximum length: Maximum Length is the largest length of the text in the textual dataset. For example, the set CITY={Sao Paulo, Mexico, Tokyo, Shanghai, Cairo, Mumbai} contains the largest value for "Sao Paulo". The maximum length of the set CITY is 9.

The search bar provides the capability to locate specific parameters displayed in the table.

Clicking on a field name displays the profiling details associated with the field in a side panel.

1. Summary: This section displays the following details:
   1. Effective date: It displays the latest timestamp of the profile run.
   2. Total row count: Total number of rows considered for profiling.
   3. Sample row count: Number of rows present in the generated sample.
2. Table Summary: This section displays the following details
   1. Field: Name of the field associated with the profiling details
   2. Quality: The quality bar provides a consolidated view of the Valid, Invalid and Null counts in the profiled fields.