Time Chart Property Reference

In the widget's side panel (Figure 195, “Widget menu options”), click the widget icon and the style icon to configure the following properties.

  • Title

    The title of the widget as displayed in the dashboard. As in the example Figure 225, “Time Chart”, it could be Errors Over Time.

  • Description

    The description of the time chart. This is free form text supporting markdown syntax.

    This same description appears in the dashboard as a tooltip by hovering over the question mark on top of the widget.

  • Plot

    • Type

      This is the plot type. Valid options are:

      • Area — a filled line chart representation of the data.

      • Line — a simple line plot of the data over time.

    • Interpolation

      The interpolation method to use. Interpolation determines how the lines between the points are shown.

      The lines produced by the basis and the bundle interpolation methods are not guaranteed to actually pass through the data points.

      Valid options are:

      • Monotone — produces a smooth curve with continuous first-order derivatives that passes through any given set of data points without spurious oscillations.

      • Linear — produces a polyline through the specified points.

      • Step after — produces a piecewise constant function (a step function ) consisting of alternating horizontal and vertical lines. The y-value changes after the x-value.

      • Basis — produces a cubic basis spline using the specified control points. The first and last points are triplicated such that the spline starts at the first point and ends at the last point, and is tangent to the line between the first and second points, and to the line between the penultimate and last points.

      • Natural — produces a natural cubic spline with the second derivative of the spline set to zero at the endpoints.

      • Cardinal — produces a cubic cardinal spline using the specified control points, with one-sided differences used for the first and last piece. The default tension is 0.

      • Catmull-Rom — produces a Catmull-rom spline , which is a special case of the cardinal spline.

      • Bundle — produces a straightened cubic basis spline using the specified control points, with the spline straightened according to the curve's beta, which defaults to 0.85.

    • Stacking

      When set to Stack, places all the series on top of each other, so that the entire graph depicts the total of all data plotted. Overall, they are useful for comparing multiple variables changing over an interval.

      Valid options are:

      • Off — disables the feature.

      • Stack — enables the feature.

      • Normalize — converts the value of each series to a percentage of a whole. This makes it easier to see the relative difference between quantities in each group.

    • Gradient Area

      Applies gradient colors to the area fill.

    • Show Data Points

      Checkbox to display data point values in the chart, represented by dots.

    • Max Series Count

      Performs automatic roll-up of all lower series based on the cumulative sum. As the result do not include low series filtered during search (for example, when using the limit parameter to timechart), it adds a series called Other.

    • Show 'Others' checkbox to show/hide other series when there are more than the maximum number allowed in the chart.

  • Legend

    • Show Legend

      Checkbox to show the legend in the chart.

    • Position

      Choose where you want the legend to appear in the chart. Valid options are:

      • Bottom

      • Right

    • Labels

      You have two options for displaying the labels:

      • Truncate — shortens the length of the series for a better visualization within the chart. It is used in case of long labels that would exceed the maximum space allowed in the chart. It is the default option. Hover the mouse over a label, then press and hold ALT to momentarily see the full series.

      • Show full — shows the full name of the series, that is, the entire value is displayed in the label or tooltip. In case of very long labels, it might affect their visibility within the chart. Hover the mouse over a label, then press and hold ALT to momentarily see the truncated series.

  • Colors

    • Palette controls widget colors. Select Inherit to apply the dashboard color scheme, or select Custom to define unique colors for this widget.

  • Missing Values. How to handle any gaps between the logs received in the time span. Methods are:

    • Show gaps — show gaps for any missing values.

    • Linear Interpolation — use linear interpolation to estimate missing values based on the nearest known values.

    • Replace by Mean Value — use the mean value of each series to replace missing values.

    • Replace by Zero — use '0' to replace missing values.

  • Trend line A line or curve that estimates the relationship between X and Y values. In some cases, a straight line is the best fit. But there might be cases where other types of line may better estimate the relationship.

    • Enable trend line checkbox.

      Tick the box to visualize the trend line.

    • Type

      When Enable trend line is checked, enables to set the type of regression to be visualized in the chart. Valid options are:

      • Linear — a straight line described by the formula y = ax +b

      • Logarithmicy = a + b * log(x)

      • Exponentialy = a + e(b * x)

      • Powery = a * xb

      • Quadraticy = a + b * x + c * x2

      • Polynomialy = a + b * x + … + k * xorder

  • Bucket Behavior

    • Latest Bucket (Live)

      Shows whether the last bucket that is currently receiving live data is shown in the chart (highlighted by a vertical yellow bar) or not. For more information on bucket, see Bucket Storage.

      Valid options are:

      • Include

      • Exclude

  • X-Axis

    • X-Axis Title

      Gives a title to the X-Axis.

    • Show UTC Time

      Tick the box to show the UTC time in the chart.

  • Y-Axis

    • Title

      Gives a title to the Y-Axis.

    • Unit (Suffix)

      Sets the time unit.

    • Scale

      Valid options are:

      • Linear — quantitative scales that preserve proportional differences.

      • Logarithmic — quantitative scales particularly useful for plotting data that varies over multiple orders of magnitude.

    • Min Value

    • Max Value

      Here you can enter the desired minimum or maximum values, respectively, to be displayed in the chart.

    • Format Value

      Format the values as Raw, Abbreviated or Metric. For example, if the raw formatting is 1,000, abbreviated would be 1K, and metric would be 1k (1 kilo).

  • Horizontal Line

    Draws a fixed reference line, used for example if you want to highlight a threshold in the chart associated with a certain value in the Y-axis.

    • Label

      Gives a name to the reference line.

    • Y-Value

      Specifies a value in the Y-axis corresponding to where the reference line should appear in the chart.

  • Series

    Change the color of each series and assign each field the title you want to see displayed in the chart.