# Data Explorer with Tabular View We're excited to offer early access to a limited group of customers so we can incorporate feedback and ensure the experience scales well before making it generally available. If you would like to request access, please reach out to your account team. Data Explorer replaces and improves upon Metrics Explorer, giving you a more powerful way to analyze trends, examine individual data points, and identify the patterns influencing your development process. From diagnosing performance issues to spotting areas for improvement, it provides the visibility needed to make confident, data-driven decisions. ## What's new * **Tabular view with multi-metric support** - Compare several metrics side by side in a single view, making it easier to spot correlations and analyze related data without switching between charts. * **Scorecards as metrics in tabular view** - Bring your Scorecards directly into the tabular view alongside other metrics for a unified, at-a-glance look at performance and quality indicators. * **Refreshed UI** - A cleaner, more intuitive interface that streamlines navigation and helps you find what you need faster. ## Using chart view All chart configuration options are now consolidated in the right-side panel. 1. From the main sidebar, expand **Eng Intelligence**, then select **Data Explorer**. The chart view is selected by default. 2. From the right-side panel, select a metric from the **Data** dropdown. 3. Choose a **Group by** dimension (team, domain, entity owner, and more). 4. Toggle **Show hierarchy** to view grouped data in a nested hierarchy. 1. For version control teams or users, choose Authors or Reviewers as the desired group by 5. Choose a column to **sort rows**. *Note: sorting by metrics is only available when hierarchy is off.* 6. Finally, click **Save As** to save your table as a module. Saved modules appear in your module library and can be added to [custom dashboards](/improve/eng-intelligence/dashboards/custom.md) alongside charts and other visualizations. ## Using tabular view 1. From the main sidebar, expand **Eng Intelligence**, then select **Data Explorer**. 2. In the right pane, select **Table**.
1. In the right pane, click **Add column**.\ The **Metrics** window opens. 2. Select a metric to view. By default, **Cycle time** is displayed. 3. Click **View metric**.\ A graph of the metric is displayed. By default, the data uses a time range of the last 30 days, but you can select a different time range.\ Below the graph is an overview of metrics that can be grouped by team, owner, repository, entity, and more. 4. Repeat steps 3-5 as necessary. 5. To edit or remove a metric from the tabular view, click **more options** next to the metric's name.
6. To select a new time range, click the default period of **Last 30 days** in the upper-right corner and select the desired range. 7. Choose a **Group by** dimension (team, domain, entity owner, and more). 8. Toggle **Show hierarchy** to view grouped data in a nested hierarchy. 1. For version control teams or users, choose Authors or Reviewers as the desired group by 9. Choose a column to **sort rows**. *Note: sorting by metrics is only available when hierarchy is off.* 10. Finally, click **Save As** to save your table as a module. Saved modules appear in your module library and can be added to [custom dashboards](/improve/eng-intelligence/dashboards/custom.md) alongside charts and other visualizations. ## Viewing trace data To drill into the underlying data for a metric, hover over a metric value in a table's cell. Click the metric value to navigate to the trace view, where you can examine individual data points behind the aggregated number. You may also click **View data** in the upper right hand corner of a chart to view all the relevant data points.
## Scorecards as metrics (tabular view only) Scorecards have been integrated into Data Explorer as a fully supported metric type. You can now add them to tabular reports alongside other metrics. This unified approach lets you correlate Scorecard results with related performance or quality data, e.g. comparing a service's reliability score against its deployment frequency, or tracking compliance scores across teams in a single view. The result is a more complete, contextual picture of how your systems and processes are performing. {% hint style="info" %} Scorecard data is based on current scores. Historical scorecard data will be available in a future update. {% endhint %} ## New modules area Modules now live in the main sidebar under Eng Intelligence. Switch between all modules and your own, with search to find any saved module quickly. ## Upcoming enhancements We plan to develop additional capabilities during and beyond the beta period: * Support for additional data sources such as entity metadata and initiatives progress * Support for historical scorecard data for use in time series charts * New chart types like KPI cards and more --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.cortex.io/resources/beta/data-explorer-with-tabular-view.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.