Line Chart Task

Example: Displaying the Mean Horsepower for Each Car Type

About the Line Chart Task

The Line Chart task assumes that the values in the category variable are discrete. The task groups these values into distinct categories. If you assign a column from the input data source to the Response variable role, you can select the statistic (either mean or sum) for the response values. By default, the task calculates the mean of the values for the response variable. If no response variable is assigned, a frequency chart by category is created.

Example: Displaying the Mean Horsepower for Each Car Type

In this example, you want to display the mean horsepower for each car type in a line plot. The result shows that sports cars have the highest average horsepower and hybrid cars have the lowest average horsepower.

To create this example:

In the Tasks section, expand the Graph folder and double-click Line Chart. The user interface for the Line Chart task opens.
On the Data tab, select the SASHELP.CARS data set.

Assign columns to these roles:

Role	Column Name
Category variable	Type
Response variable	Horsepower

To run the task, click .

Line Chart of Horsepower for Each Car Type

Assigning Data to Roles

You can subset the data in the input data set by applying an SQL WHERE clause. In the Where string box, enter your valid SQL syntax. You must enclose character strings in single quotation marks. To view this WHERE clause with the resulting graph, select the Include as footnote check box.

To run the Line Chart task, you must assign a column to the Category variable role.

Option Name	Description
Role
Category variable	specifies the variable that classifies the observations into distinct subsets.
Response variable	specifies a numeric response variable for the plot.
Group variable	specifies a variable that is used to group the data.
URL variable	specifies a character variable that contains URLs for web pages to be displayed when parts of the plot are selected within an HTML page.
Statistics
Mean	calculates the mean of the response variable.
Sum	calculates the sum of the response variable.

Setting Options

Option Name	Description
Title and Footnote
You can specify a custom title and footnote for the output. You can also specify the font size for this text.
Line Details
Apply line color	specifies the color for the line when you do not assign a column to the Group variable role.
Line thickness	specifies the thickness (in pixels) of the line.
Transparency	specifies the degree of transparency for the plot. The range is 0 (completely opaque) to 1 (completely transparent).
Use solid line	specifies a solid pattern for the line.
Line Labels
Show line labels	displays the label from the response variable. If you assign a column to the Group variable role, each line is labeled with the group value.
Category Axis
Reverse	specifies that the values of the tick marks are displayed in reverse (descending) order.
Show values in data order	places the discrete tick values in the order in which they appear in the data.
Show label	enables you to display a label for the axis. By default, the label is the variable name. To customize this label, enter this label in the Custom label box.
Response Axis
Show grid	creates grid lines at each tick on the axis.
Drop statistics suffix	removes the name of the calculated statistic in the axis label. For example, if you are calculating the mean, the axis label could be Weight (Mean).
Show label	enables you to display a label for the axis. By default, the label is the variable name. To customize this label, enter this label in the Custom label box.
Legend Details
Legend location	specifies whether the legend is placed outside or inside of the axis area.
Graph Size
You can specify the width and height of the graph in inches, centimeters, or pixels.