Time series widgets

  • Release version: Australia
  • Updated March 12, 2026
  • 2 minutes to read
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    Summary of Time Series Widgets

    Time series widgets visualize changes in indicator scores over time, allowing you to identify trends, patterns, and relationships among metrics. These widgets can show a single indicator or compare multiple indicators. However, note that this feature is part of the Core UI front end and is deprecated, meaning it will not receive further enhancements, only security fixes.

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    Key Features

    • Visualization Options: Choose from various visualizations to emphasize trends or specific changes, including:
      • Line: Displays trends over time using connected data points; recommended as the default choice.
      • Spline: Uses curves to approximate values between data points, helpful for limited datasets.
      • Column: Shows proportional changes in scores, useful for comparing indicators.
      • Step: Highlights incremental changes between discrete time points.
      • Stacked Column: Displays multiple indicators' cumulative results for easy comparison.
      • Area: Similar to line visualization but emphasizes the area under the line.
      • Relative Compare: Illustrates divergence of multiple indicators over time.

    Key Outcomes

    Utilizing time series widgets enables you to effectively track and analyze performance metrics, understand the impact of changes (like policy adjustments), and make informed decisions based on visualized data. Selecting the appropriate visualization enhances clarity and insight into your data trends, allowing for better strategic planning and evaluation.

    Time series widgets show changes in an indicator score over time. Different visualizations emphasize the trend in the scores or the scores themselves, and can display one indicator or compare several indicators.

    Note:
    This feature is part of the Core UI front end. It is not supported on Platform Analytics dashboards or UI Builder pages, except to a limited extent when migrated in compatibility mode. To build Platform Analytics components, see Data visualizations in Platform Analytics or Filters in Platform Analytics.

    This feature is deprecated, meaning it is in maintenance mode and is no longer being augmented or changed. Only security fixes to this feature will be addressed.

    A time series is an ordered sequence of metrics taken continuously over time. Indicator scores are measured over time at uniform intervals, which makes them an appropriate subject for time series widgets. The following business cases are some of the uses of a time series widget:

    • Identifying trends, patterns, and outliers in indicator scores.
    • Identifying turning points, such as whether a change in policy led to a change in indicator scores.
    • Evaluating the relationships between indicators.

    When you are selecting a visualization for a time series, consider whether you want to emphasize the trend in the scores or specific changes in the scores. Also consider whether you want to show one indicator or compare several related indicators.

    Note:
    Some visualizations of other widget types include a time series. For example, the breakdown widget visualizations Stacked Column and Columns and Total include a time series of the indicator scores.
    Table 1. Time series widget visualizations
    Visualization Description and use case
    Visualizing trends in the scores of an indicator
    Line time series Line Shows how one or more values change over time by connecting a series of data points with straight lines. Use a line visualization to emphasize the trend in the scores.

    Consider line visualizations to be the default choice for displaying a time series. If you are unsure of which visualization to use, use a line.
    Spline time series Spline Shows how one or more values change over time by connecting a series of data points with a fitted curve through the data points. Spline charts let you take a limited set of known data points and approximate intervening values.
    Comparing scores in an indicator
    Column time series Column Shows changes between scores over time by displaying them as proportional vertical columns. Use either to visualize score changes in one indicator or to compare indicators. To compare indicators with a column visualization, either add indicators to the widget, or place several column visualization widgets next to each other in a dashboard.
    Step time series Step Emphasizes changes in indicator scores between discreet points in time. Use to show small incremental changes in scores, especially when a line visualization smudges the data.
    Comparing scores or trends between indicators
    Stacked column icon Stacked Column Each column is divided into a stack of slices representing different indicators. Use when you want to see the cumulative result of multiple indicators.
    Area visualization icon Area Resembles a line visualization, but the area between the axis and line is emphasized with colors. Use with multiple indicators to highlight the relative contribution that each indicator makes to the whole.
    Relative compare icon Relative Compare Shows how multiple indicators diverge over time.