Supporting Widgets

This article illustrates multiple widgets that are used in the configuration of dashboards.

The Resolution Intelligence Cloud includes a dashboard engine that enables you to configure and customize dashboards along with their associated widgets. Data from various sources can be organized into highly customized layouts and displayed in numerical format, tables, or graphs. 

The recommended charts available on the dashboard are based on the dimensions and metrics you select. You can choose one of the suggested chart types to visually represent the data. Some charts support only metrics, while others require at least one dimension and one metric, and a few require two dimensions and one metric. The required combination of dimensions and metrics varies depending on the chart type.

The Dashboard page is the starting point when you log into Resolution Intelligence Cloud. A dashboard consists of one or more dashboard widgets. Depending on the types of widgets in a dashboard configuration, your dashboard can display a summary of your situational results for the last 12 hours.

Widgets in a dashboard

A dashboard consists of one or more widgets. Resolution Intelligence Cloud provides the following widgets to make your own dashboard:

• Table - shows the metrics in tabular form.

• Line - displays the results in a linear form.

• Column - shows the performance metrics in the column graph.

• Bar - shows the performance metrics in the bar graph.

• Pie   - displays the performance results in a Pie chart with different colors. Each color represents an individual metric.

• Donut - similar to a Pie chart with a central hole and displays the performance metrics with different colors. Each color represents an individual metric.

• Column with Min Max Avg Axis  - shows the performance metrics in a column graph with the minimum, maximum, and mean values.

• Line with Min Max Avg Axis  - shows the performance metrics in a line graph with the minimum, maximum, and mean values.

• Heat Map   - represents the results in a map with different colors for each metric.

• Multi line   - represents the values in multiple lines with different colors for each metric.

• Stacked Column - Shows the performance metrics on a part to whole over time.

• Stream Graph  - a stacked area graph that is displaced around a central axis shows the performance metrics in an organic shape.

• Table with Grid view - displays the performance metrics from a data source where each column represents a field and each row represents a record.

• Column Compare - Compares the current month's performance metrics with those of the previous month using a column chart. The entity count for each category in the previous month is compared with the current month's count.

• Bar Compare - Compares three different plants output for half yearly in a bar graph.

• Leader Board Widget - Visual to show you one single value or a number like open ticket count. It displays the total numerical count of a metric (such as ticket count).

• Leaderboard Widget with Sparkline - This widget is like the Leaderboard widget, which displays the trend of the metric.

• Solid Gauge Graph - A radial gauge chart contains a circular arc and it displays a single value that measures progress toward a goal/KPI. It indicates the measurement of progress on a numerical scale, and it displays as a shaded region on a circular arc. The numerical value is displayed below the circular arc.

• Multi Metric Graph - Single visualization that combines a line chart and a column chart. It is the combination of a line chart and a column chart for two metrics in which one metric is displayed as a line chart and the other metric as a column chart in a single widget.

• Multi Source Funnel - Funnels help visualize a process that consists of stages, and items flow sequentially from one stage to the next. For example, the total number of signals generated, the total number of tickets created, and the total number of tickets notified to the tenant.

• Sunburst - Sunburst charts are used to visualize hierarchical data in a circular shape. The inner elements are parent nodes, with child nodes distributed on the outer rings.

• Packed bubble - To use this chart type, you need one or two dimensions and a single metric. Data points are represented as bubbles, with the size of each bubble indicating the metric value. This chart is useful for visualizing hierarchical relationships or categorical data. In the example below, the packed bubble chart displays the count of entities in each category. Each bubble represents a category (dimension), and the size of the bubble reflects the count of entities (metric).

• Total & Pie - To use this chart, you need at least one dimension and one metric. It combines a traditional pie chart with the total count of the selected metric. This chart is effective for providing an overview of data distribution and emphasizing the composition of various categories.