> For the complete documentation index, see [llms.txt](https://docs.telm.ai/telmai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.telm.ai/telmai/profiling-data/data-health-overview-page.md).
# Data Health Overview Page
The **Dataset Health Overview** page provides insights into a dataset's status and attributes during a specific scan.
On this page, you can see the Health KPIs defined in [Calculated Health Metrics](/telmai/profiling-data/data-health-metrics.md). You can also see attribute-level metrics:
| KPI | Description |
| ------------- | ------------------------------------------------------------------------------- |
| *Duplicates* | Number of records with duplicate values in the attribute |
| *Unique* | Number of records with unique values in the attribute |
| *Distinct* | Count of distinct values in the attribute |
| *Empty* | Count of empty values, including nulls or empty strings, in the attribute |
| *Cardinality* | The cardinality of values in the attribute, indicating whether it's low or high |
Note: For all attribute-level metrics, table-level metrics are calculated as the average across different columns.
**Selector Component**
The **Selector Component** allows you to customize the data view by selecting:
* **Dataset**: Choose the dataset you want to analyze
* **Attributes**: Select the attributes to calculate metrics on
* **Segments**: Filter the data based on specific segments
* **Scan Time**: Select the time of the data scan
**Health KPIs Summary**
The **Health KPIs Summary** provides a quick overview of key Data Quality KPIs at both the table and attribute levels.
**Attribute(s) KPIs**
For each attribute (or column), Telmai calculates and displays the corresponding profiling metrics.