Analyzing data in a Microcharts widget

The Microcharts widget consists of compact representations of data that allow analysts to quickly visualize trends in data. Microcharts convey information so that a user can, at a glance, determine the trend of a metric over time or how a metric is performing compared to forecasted figures. The Microcharts widget is useful for this purpose because individual microcharts can display attribute and metric data in a small graph that would otherwise be displayed as a single value in a grid report cell.

Use a Microcharts widget to quickly visualize the trend of a metric at a glance without having to know many additional details. The bar, sparkline, and bullet microcharts used in the Microcharts widget convey information that an analyst can understand just by looking at the graph once.

One, two, or three microcharts can be displayed in the Microcharts widget, depending on the number of metrics used on the report in the Grid/Graph. For example, bar and sparkline microcharts are included on the left side of the widget shown below. These microcharts convey the trend of a metric over time, from left to right. On the right side of the widget, bullet microcharts reveal the percentage of cases that were closed, in correlation with the goals for the regions, which are represented by the vertical lines within the bullet microcharts.

Example of a Microcharts widget

When choosing the data to represent on the Microcharts widget, you must designate key performance indicators, or KPIs. KPIs are metrics used to evaluate how a company or business unit within a company reaches a goal. Examples of KPIs are Revenue, Profit, and Employee Headcount.

For KPI List mode, only one attribute can be included on the rows. This attribute should be time-based, since it controls the time series of the bar charts and sparklines in the widget.

Users can view and interact with a Microcharts widget in several ways, known as operation modes. Each of these modes provides the user with a unique way of analyzing the microcharts and data within the widget:

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