Altair® Panopticon

 

Line Graph Settings

Line Graphs are easy to understand and are a great way to communicate important time-based trends, clustering, and outliers.

They work especially well when comparing ten or fewer data sets (our Horizon Graph is a good solution for displaying time series data with ten or more data sets).

The line graph settings pane is displayed after clicking the Options  button.

 

Setting

Description

Line Width

Specifies the line width in pixels.

Dot Radius

Specifies the radius of each data point in pixels.

Dash Pattern

Specifies the line pattern. Available options are:

·         Dotted

·         Dashed

·         Solid

Line Interpolation

Specifies whether the line is Stepped, Linear, or Smooth Interpolation.

Value Interpolation Time Gaps

Determines whether time axis gaps (Working Week/Time) are interpolated.

Value Interpolation Na Value Gaps

Determines whether Na value (or missing) gaps are interpolated.

Shade Area Below Line

Defines that alpha shades are applied between the lines and the zero Y grid line.

Shade Area Alpha (%)

Specifies the alpha (transparency) of the shaded area, expressed in percent 0-100 of the alpha value currently set on the line.

Show Last Value

Determines if the flag of the last value will be displayed.

Once enabled, the Y-Axis Alignment settings section displays

·         Select  to display Y-axis on the left side.

·         Select  to display the Y-axis on the right side.

·         Enter the Last Value Margin. Default is 80.

·         Check the Show Last Value Title box to display the title of the last value in the flag.

Show Coordinates

Determines whether the graph coordinates (i.e., X-Y plots, or Date/Time-Y plots) on mouse over are displayed in the visualization.

 

 

Other visualization-specific properties can be set by clicking on the Y-Axis variable drop area and then selecting the Y-Axis tab:

 

Setting

Description

Independent Y-Axis Scaling

Determines whether to have each visualization Y-axis in a cross tab automatically scaled independent of the others.