Reports and Dashboards
After completing an analysis in Entrusy, you can generate comprehensive reports and dashboards to visualize and summarize the identified topics and trends from your text data. This section will guide you through the process of creating and customizing reports and dashboards.
Filtering Reports
Once an analysis is complete, navigate to the project dashboard. You can filter the displayed data based on various criteria such as date ranges, specific topics, or sentiment scores. Use the filtering options available at the top of the dashboard to refine the data displayed in your reports.
Modules
On the top of the project dashboard, you will find the Modules section. This area allows you to access various reporting and visualization tools. By default, modules containing information regarding the project and topics are available.
You can also create up to 6 custom modules to display specific insights or visualizations. Each module is based on one field from the analysis results. Module types include:
- Average Value: Displays the average value of a selected stat or sentiment field.
- Sum of Values: Shows the total sum of a selected stat field.
- Maximum Value: Highlights the maximum value from a selected stat or sentiment field.
- Minimum Value: Highlights the minimum value from a selected stat or sentiment field.
- Count Unique Values: Counts the number of unique entries in a selected field.
- Unique Value Distribution: Visualizes the distribution of unique values in a selected field using a bar chart.
- Trend of Average Values: Displays a line chart showing the trend of average values over time for a selected stat or sentiment field.
Topics
Below the Modules section, you will find the Topics area. This section provides a detailed overview of the topics identified during the analysis. Each topic card includes:
- Topic Name: The name assigned to the topic.
- Topic Summary: A brief description of the topic.
- Topic Keywords: A list of keywords associated with the topic.
- Topic Data Points: The number of data points categorized under the topic. You can click on this number to view the specific data points.