Customize Dashboard and visualization

Dashboard #

1. Accessing Dashboards

1. Click on the Management–>  “Customize Dashboard and visualization” tab in the main navigation menu.

2. Creating a New Dashboard

1. Navigate to the “Dashboard” tab.
2. Click the “Create new dashboard” button.

3. An empty dashboard canvas will appear, ready for you to add visualizations.

3. Adding Visualizations to the Dashboard

1. Click the “Create new” button on the top menu.

2. A list of available visualizations will appear. These are visualizations that you have previously created or that are provided by default.

3. Select the visualization you want to add by clicking on it.
4. The selected visualization will appear on the dashboard canvas.
5. Repeat steps 1-4 to add more visualizations to your dashboard.

4. Customizing Visualizations

1. Drag and drop visualizations to arrange them on the dashboard canvas.

2. Resize visualizations by clicking and dragging the corners of each visualization.
3. To edit a visualization, click on the pencil icon that appears when you hover over the visualization.
4. Make the desired changes in the visualization editor and save your changes.

5. Saving and Managing Dashboards

1. After customizing your dashboard, click the “Save” button on the top menu.
2. Enter a name for your dashboard in the dialog box that appears.
3. Optionally, add a description to provide more context for the dashboard.
4. Click “Save” to store your dashboard.
5. Your saved dashboards can be accessed from the “Dashboard” tab by selecting them from the list.

6. Filtering Data on Dashboards

1. Use the time picker at the top right to set the time range for the data displayed on the dashboard.
2. Apply filters to narrow down the data displayed in the visualizations.
   • Click on the filter icon or add filters directly in the search bar.
   • Define the filter criteria and apply the filter.
3. The visualizations on the dashboard will update to reflect the applied filters.

Visualization

The “Visualize” module enables users to create, customize, and view various visual representations of their security data, such as charts, graphs, and maps, allowing for easier analysis and understanding of trends and patterns in the collected logs and events.

1. Accessing Visualizations

1. Click on 3 vertical line on the left most corner of the application.
2. Under Security–> click on Visualize

2. Creating Visualizations

1. Choose a Visualization Type:
   • Click on “Create new visualization.”

1. Select the type of visualization you want to create (e.g., Area Chart, Pie Chart, Line Chart, Data Table, etc.).

The “Visualize” module in Argus provides various subcategories for creating different types of visualizations. Here’s a brief explanation of each:

• Area: Displays data over time or categories in an area chart, highlighting the volume or amount of data within different areas.
• Coordinate Maps: Visualizes geospatial data on a map using coordinates, allowing users to see the geographic distribution of events or data points.
• Line: Shows data trends over time or categories using a line chart, useful for tracking changes and trends.
• Data Table: Presents data in a tabular format, allowing for detailed inspection of specific values and records.
• Gantt Chart: Illustrates a project schedule, showing the start and end dates of various components and their relationships.
• Maps: Offers various map-based visualizations to display spatial data, helping in geographic analysis.
• Goals: Visualizes target achievements against set goals, often using gauges or progress bars.
• Controls: Provides interactive filters and controls to dynamically manipulate and refine data visualizations.
• Horizontal Bar: Displays data categories as horizontal bars, useful for comparing quantities across different categories.
• Markdown: Allows for the inclusion of markdown text within dashboards, providing context, notes, or descriptions alongside visualizations.
• Gauge: Shows single-value metrics with a gauge, ideal for representing metrics that fall within a range, such as system performance indicators.
• Heat Map: Represents data density using color gradients, useful for identifying concentrations and patterns within the data.
• Metric: Displays key numerical metrics in a simple and prominent way, highlighting important values.
• Pie: Represents data proportions using a pie chart, showing how different segments contribute to a whole.
• Regional Map: Displays data within specific regions on a map, allowing for regional analysis and comparisons.
• TSVB (Time Series Visual Builder): Provides advanced time series visualizations, allowing users to build complex, custom time-based charts and graphs.
• Tag Cloud: Displays keywords or tags from your data with their size representing the frequency or importance, making it easy to see prominent terms.
• Timeline: Visualizes events or data points over time in a timeline format, useful for tracking the sequence and timing of events.
• Vega: Allows for the creation of custom visualizations using the Vega language, providing flexibility for advanced and tailored visual representation.
• Vertical Bar: Displays data categories as vertical bars, ideal for comparing quantities across different categories.
• VisBuilder: Provides a simplified interface for creating visualizations, making it easier for users to build charts and graphs without needing extensive technical knowledge.