# Reports

## Overview

The Reports dashboard widgets category provides comprehensive tools for visualizing, analyzing, and monitoring laboratory data across your entire workspace. These widgets enable laboratory administrators and managers to track productivity trends, analyze data distribution patterns, create dynamic visualizations from table records, monitor system usage, and ensure data integrity. From high-level executive summaries showing record creation patterns across projects and personnel, to detailed data-driven charts exploring relationships within your datasets, to matrix views displaying counts across multiple dimensions, and audit tools verifying data quality—these widgets transform raw laboratory data into strategic insights. By embedding powerful reporting capabilities at the dashboard level, these tools support data-driven decision-making, resource planning, compliance monitoring, and organizational performance assessment.

## Widgets

* [Record Summary](/widgets/dashboard-widgets/reports/record-summary.md) - Visualize and analyze workspace-wide record creation patterns with customizable aggregation across projects, tables, personnel, and time periods
* [Data Driven Charts](/widgets/dashboard-widgets/reports/data-driven-charts.md) - Create dynamic visualizations from table data with categorical and numeric chart types for exploring data relationships and trends
* [Matrix](/widgets/dashboard-widgets/reports/matrix.md) - Display record counts and metrics across multiple filter dimensions in grid format for quick pattern identification and analysis
* [Audit](/widgets/dashboard-widgets/reports/audit.md) - Monitor and evaluate data integrity, storage usage, and record quality to ensure compliance and maintain system health


---

# 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.labii.com/widgets/dashboard-widgets/reports.md?ask=<question>
```

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.
