Customize the graph display

This topic describes how to customize the display of graphs and measurements in your test run so that you can view the data displayed in the most effective way possible.

This topic describes how to adjust granularity, select the chart format, and control the appearance of the individual points plotted in the graph. Customizing the display of graphs and measurements in your test run enables you to view the data in the most effective way possible.

Personalize your graph display

You can personalize your graphs by adjusting granularity, selecting the graph format, creating merged graphs, controlling the appearance of the individual points plotted in the graph, and selecting the columns you want to see in the measurements table.

OneAnalysis automatically saves your customized settings and merged graphs when you log out, and restores them the next time you log back on.

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Determine a point's coordinates

You can determine the coordinates and values at any point in a graph. Place the cursor over the point you want to evaluate and OneAnalysis displays the axis values and other grouping information.

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Change the granularity of the data

You can make the graphs easier to read and analyze by changing the granularity (scale) of the x-axis. The lower the granularity, the more detailed the results.

To set granularity:

  1. Select a graph and click Set Granularity. The Granularity dialog box opens.

  2. Enter the granularity of the x-axis and select a time measurement. The maximum granularity is half of the graph's time range.

  3. To apply the same granularity to all graphs, select Reduce for all graphs.

  4. Click OK.

    Note: To ensure readability and clarity, OneAnalysis automatically adjusts the minimum granularity of graphs with ranges of 500 seconds or more.

    If this granularity changes, it can affect performance.

  5. To restore the default granularity for a graph, click Use Default; to restore for all graphs, select Reduce for all graphs and click Use Default.

Example

In the following example, the Hits per Second graph is displayed using different granularities. The y-axis represents the number of hits per second within the granularity interval. For a granularity of 1, the y-axis shows the number of hits per second for each one second period of the test.

For a granularity of 5, the y-axis shows the number of hits per second for every five-second period of the test.

Similarly, a granularity of 10 shows the number of hits per second for every ten-second period of the test.

The lower the granularity, the more detailed the results. For example, using a low granularity as in the upper graph, you see the intervals in which no hits occurred. It is useful to use a higher granularity to study the overall Vuser behavior throughout the scenario.

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Merge graphs

Available in versions: OneAnalysis version 2020 R1 and later

You can merge the results of two graphs from the same performance or load test into a single graph. The merging allows you to compare several different measurements at once. For example, you can make a merged graph to display throughput and number of hits per second, as a function of the elapsed time.

You can merge all graphs with a common x-axis.

  1. Select a graph to make it active, and click Merge Graph. The Merge Graph dialog box opens.

  2. Select the graphs you want to merge your active graph with from the Merge graph with list. Only the graphs with a common x-axis to the active graph are available.

  3. Enter a title for the merged graph or use the default title (a combination of the titles of the two graphs being merged is displayed).

  4. Select the merge type:

    • Overlay. Superimposes the contents of the graphs that share a common x- axis. The left y-axis on the merged graph shows the current graph's values. The right y-axis shows the values of the graph that was merged. There is no limit to the number of graphs that you can overlay. When you overlay more than one graph, the y-axis for each graph is displayed separately to the right of the graph, scaling the different measurements accordingly.

      In the following example, the Running Vusers, Hits per Second, and Throughput graphs are overlaid with one another.

    • Tile. View contents of graphs that share a common x-axis in a tiled layout, one above the other.

      In the following example the Throughput and Hits per Second graph are tiled one above the other.

    • Correlate. Plot the y-axes of two graphs against each other. The active graph's y-axis becomes the x-axis of the merged graph. The y-axis of the graph that was merged, becomes the merged graph's y-axis.

      In the following example, the Throughput and Hits per Second graph are correlated with one another. The x-axis displays the bytes per second (the Throughput measurement) and the y-axis shows the average hits per second.

  5. Click OK.

  6. The merged graph is added to the Merged Graphs section.

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Customize graph appearance

You can select the graph display and control the appearance of the individual points plotted in the graph.

  1. Select a graph and click Graph Display. The Graph Display dialog box opens.

  2. Choose the format for a graph:

    Line and Points Switches the chart format to a line and point chart.
    Line Switches the chart format to a line chart.
    Points Switches the chart format to a point chart.
    Columns Switches the chart format to a stacked column chart.
    Area

    Switches the chart format to a stacked area chart.

    Grid

    Switches the chart format to a data grid. You can filter and sort by each entity type.

  3. Assign colors to measurements.

    You can apply color preferences to make specific transactions more recognizable.

    1. In the measurements grid, select a transaction and click its color icon.

    2. Select a color from the drop-down list and click OK. The color is applied to the transaction.

  4. Show or hide measurements.

    You can determine the measurements that are displayed in the graph by selecting a transaction in the grid and clicking the display measurement icon ( indicates the measurement is hidden).

  5. Show or hide anomalies.

    You can view metric anomalies in graphs to help identify abnormal application behavior in performance tests. For details, see Show anomalies.

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Set the graph measurement scale

Available in versions: OneAnalysis version 2020 R1 and later

You can set the scale for all graph measurements, set an automatic scale optimized for all measurements, or manually set the scale for selected measurements.

Note: Available for all graphs except the Transactions graph.

To set the scale for all graph measurements:

  1. Select a graph and click Scale. The Scale to All Measurements dialog box opens.

  2. Select the desired scale option:

    • Default. Sets the scale to one for all measurements in the graph.

    • Customize. Select the scale with which you want to view all measurements in the graph.

  3. Click OK.

To set an automatic scale optimized for all measurements:

  1. Select a graph.

  2. Toggle the scale button to Automatic Scale. This uses an automatic scale optimized to display each measurement in the graph.

    Note: You cannot change the scale for individual measurements when this option is selected.

To manually set the scale for a measurement:

  1. Select a graph.

  2. Toggle the scale button to Manual, and enter the scale with which you want to view a selected measurement in the measurement's Scale box.

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Enlarge a section of the graph

To zoom in or enlarge a section of the graph, hold down the left mouse button and drag the slider over the section of the graph to increase the magnification.

Click Reset zoom to restore the default graph size.

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See also: