Chart
The Chart Visual object allows you to show data in a graphical format, enabling you to visualize your data in a more effective way. Charts and graphs elevate your data by providing an easy-to understand visualization of numeric values. Visual objects of type Chart require a SFHub Studio Analytic that exposes analytic variables of type SFHub Table, SFHub Dictionary or SFHub List.
SFHub Studio Report Web Editor provides a variety of charts, allowing you to find the best fit for your data.
Chart Configuration Panel
The following pages provides and overview of the configuration panel
Chart Settings Sup-Panel
Choose The Best Chart Type
While multiple chart types might “work” for a given data set, it is important to select a chart type that best fits the visual message you want the data to deliver. The following table provides some insight.
| Chart Type | How Its Used |
|---|---|
| Column Chart | This chart type is useful for comparing information, or if a single variable has multiple categories (for example, multiple products or genres). This is one of the most commonly used charts. |
| Circular Chart | This chart, also known as a "pie" chart, is useful for comparing percentages of a whole ("whole" is the total of the values in your data). Each value is represented as a piece of the pie so you can identify the proportions. |
| Line Chart | This chart is most useful for showing trends over time, rather than static data points. The lines connect each data point so that you can see how the value(s) increased or decreased over a period of time. |
| Scatter Chart | This chart is useful for specifically showing how one variable affects another (this is called correlation). Similar to a line graph, it shows the variable changes over time. |
| Area Chart | This chart, like the line chart, shows changes in values over time. However, because the area beneath each line is solid, the area chart is useful for calling attention to the differences in change across multiple variables. |
| Radar Charts | This chart is useful for displaying data from multiple variables in relation to each other. All variables begin from the central point. The key with radar charts is that you are comparing all individual variables in relation to each other — they are often used for comparing strengths and weaknesses of different products or employees. |
Scatter chart are currently not supported.