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Configuring Chart Data Viewers

Message Analyzer has several Chart style data viewers that are provided with every installation, consisting of the Protocol Dashboard and SMB Reads and Writes viewers. These Charts utilize up to four different types of data visualizer components in graphic formats that you can configure for unique data organizations and presentations, which can include rendering top-level data summaries, event timelines, and tabular/grid data, as described in Data Viewers. You can see all of these components in the Protocol Dashboard viewer; however, the SMB Reads and Writes viewer uses only the timeline visualizer and grid components.

Chart visualizer component elements interact with the Analysis Grid viewer by displaying a related group of messages in the Analysis Grid viewer in response to double-clicking the indicated elements in the following visualizer components:

  • Bar Chart — contains bar elements that each represent a group of captured messages that have a common field, property, message type, or other entity to which an optional data manipulation formula is applied. Double-click a single bar to view the associated messages in a separate Analysis Grid session viewer tab.

  • Pie Chart — divided into slices or section elements that each represent a group of captured messages that have a common field, property, message type, or other entity to which an optional data manipulation formula is applied. Double-click a single slice to view the associated messages in a separate Analysis Grid session viewer tab.

  • Timeline — displays an interconnected timeline element across trace boundaries for common properties, fields, values, or other entities that are contained in captured messages, to expose the points in time on the x-axis where those entities were sent and/or received, versus other values on the y-axis that might represent the application of a particular formula, such as the Count of identical values for a particular field. Double-click a single timeline element or node to view the associated messages in a separate Analysis Grid session viewer tab.

    Note  The Timeline visualizer is enabled for zooming into chosen windows of time.

  • Grid View — contains data row and column elements that you can organize to correlate values with entities such as message fields and properties, or formulas based on field and properties, for example the Average of a set of field values. Double-click a data row to view the associated messages in a separate Analysis Grid session viewer tab.

Configuring Chart Viewers
Message Analyzer enables you to create your own custom Chart viewers containing one or more of these four types of data visualizer components. The protocol/module types, fields, properties, and the statistics formulas that you can apply to these entities, can provide a quick overview of trace activity at-a-glance to enhance your data analysis perspectives. You can use formulas to manipulate the values of fields, properties, and other entities in the messages that you capture to create unique data representations. An example of this is the Bar Chart visualizer component in the Protocol Dashboard viewer, which can quickly reveal the top-level protocols that are among the highest concentration in a set of trace results, which might shed light on some deeper issues such as parsing problems or diagnostic errors and warnings.

The Chart viewers that are provided with Message Analyzer by default represent only one way to organize the display of data using the four data visualizer components. When configuring Charts, you are currently limited to using the four types of visualizer components and the data fields that are available from the Message Analyzer parsing process; however, there are no restrictions on how you organize, represent, and configure them as a Chart. The following topics in this section describe how to use the Chart configuration features so that you can create, edit, save, and manage your own custom Chart viewers:

    Chart Controls and Features

    Creating and Editing Charts

    Managing Chart Viewers

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