Export (0) Print
Expand All

Configuring Chart Data Viewers

Predefined Chart Data Viewers
Message Analyzer has several Chart style data viewers that are provided by default with every installation. These Chart viewers are contained in the top-level Message Analyzer category under the following subcategories of the New Viewer drop-down list on the global Message Analyzer toolbar:

Note  Chart viewers are also accessible from the Start With drop-down list in the New Session dialog and in the Session Explorer context menu.

  • HTTP category Chart viewers:

    • HTTP Content Type Volumes and Payloads

    • HTTP Operations Average Times

  • Dashboards category Chart viewers:

    • Protocol Dashboard

    • Top IP/Ethernet Conversations

    • Top TCP/UDP Conversations

  • File Sharing category Chart viewers:

    • SMB File Stats

    • SMB Reads and Writes

    • SMB/SMB2 Service Response Time

  • Network category Chart viewers:

    • TCP Diagnosis with Stevens

    • Top Talkers

Note  Several preview Chart data viewers will display in the Common subcategory of the top-level My Items category in the New Viewer drop-down list, for example, the Interaction (Preview) and Gantt (Preview) charts. You will need to enable these preview Chart viewers on the Features tab of the global Options dialog that is accessible from the Message Analyzer Tools menu and then restart Message Analyzer, for them to appear in the Common subcategory.

Graphic Visualizer Components
The previously described 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 and others.

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 viewer session 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 viewer session 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 viewer session 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 viewer session tab.

Configuring Chart Viewers
Message Analyzer enables you to create your own custom Chart viewers containing one or more of the 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.

Working with the Charts Tab Controls  When you are creating or editing Chart data viewers, you will make use of the following high-level controls on the Message Analyzer Charts tab:

  • New Chart — displays the Chart layout surface and data entry tabs that enable you to create a new Chart.

  • Edit Chart — selects a visualizer component in a Chart by default and displays the data entry tabs that enable you to edit an existing Chart.

  • Save Chart — enables you to save a Chart that you configured.

  • Add Component — displays a data entry dialog that enables you to add a new visualizer component to a Chart.

  • Remove Component — enables you to remove a selected visualizer component in a Chart.

  • New Data Mapping — displays a data entry dialog that enables you to specify column fields, row fields, and formulas that perform various operations on field values for unique data displays.

  • Manage Chart — displays a dialog that enables you to manage Charts, including exporting, importing, organizing, and deleting Chart items.

Using the Chart Configuration Features  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 almost no restrictions on how you organize, represent, and configure them as a Chart. Note that you can also employ Unions in any Charts that you develop or modify, which includes Union sets, as described in Chart Controls and Features.

The following topics in this section describe how to use the Chart configuration features so that you can create, edit, and save your own custom Chart viewers:

    Chart Controls and Features

    Creating and Editing Charts


More Information
To learn how to manage Message Analyzer Charts, see Managing Chart Viewers.

Was this page helpful?
(1500 characters remaining)
Thank you for your feedback

Community Additions

ADD
Show:
© 2015 Microsoft