Extreme MPG Graph Generation

The code first defines a `STATGRAPH` named 'selections' using `PROC TEMPLATE`. This template uses two dynamic variables, `upLimit` and `lowLimit`, to filter vehicles. The graph is a `layout lattice` with two cells, each containing a `scatterPlot`. The first cell displays vehicles with highway MPG greater than or equal to `upLimit`, while the second displays those with MPG less than or equal to `lowLimit`. The template is then rendered via `PROC SGRENDER`, using the `sashelp.cars` data and specifying values for `upLimit` (44) and `lowLimit` (16).

Data Analysis

Type : SASHELP

The script uses the internal `sashelp.cars` dataset, available by default in all SAS installations, to retrieve vehicle information (model, MSRP, highway MPG).

1 Code Block

PROC TEMPLATE

Explanation :
This block defines a reusable graph template named 'selections' using the `PROC TEMPLATE` procedure. It incorporates dynamic variables `upLimit` and `lowLimit` which will be used to filter the displayed data. The graph is structured as a two-row lattice arrangement, each presenting a scatter plot (`scatterPlot`). The first row visualizes vehicles whose highway consumption is greater than or equal to `upLimit`, while the second shows those whose consumption is less than or equal to `lowLimit`. Data point labels display the vehicle model.

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1	PROC TEMPLATE;
2	define statgraph selections;
3	dynamic upLimit "low end of high mpg"
4	lowLimit "upper end of low mpg";
5	beginGraph / designHeight=600;
6	EntryTitle "Vehicles with Extreme Highway MPG (2004)";
7	layout lattice / rows=2 columnDataRange=union rowDataRange=union
8	rowGutter=10px;
9	columnAxes;
10	columnAxis / label="MSRP($)";
11	endColumnAxes;
12
13	rowAxes;
14	rowAxis / label=eval(colLabel(mpg_highway));
15	rowAxis / label=eval(colLabel(mpg_highway));
16	endRowAxes;
17	cell;
18	cellHeader;
19	Entry "MPG " {unicode '2265'x} " " upLimit;
20	endCellHeader;
21	scatterPlot x=eval(ifn(mpg_highway >= upLimit, msrp, .))
22	y=eval(ifn(mpg_highway >= upLimit, mpg_highway, .)) /
23	group=make dataLabel=model dataLabelAttrs=(size=10);
24	endCell;
25	cell;
26	cellHeader;
27	Entry "MPG " {unicode '2264'x} " " lowLimit;
28	endCellHeader;
29	scatterPlot x=eval(ifn(mpg_highway <= lowLimit, msrp, .))
30	y=eval(ifn(mpg_highway <= lowLimit, mpg_highway, .)) /
31	group=make dataLabel=model dataLabelAttrs=(size=10);
32	endCell;
33	endLayout;
34	endGraph;
35	END;
36	RUN;

2 Code Block

PROC SGRENDER

Explanation :
This block configures the ODS Graphics system for graph output, resetting parameters and defining the height. Then, `PROC SGRENDER` is used to render the 'selections' graph template previously defined. It uses the `sashelp.cars` dataset as the source and assigns specific values (44 for `upLimit` and 16 for `lowLimit`) to the template's dynamic variables. This generates an ODS graph that highlights vehicles with exceptionally high or low highway fuel consumption.

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1	ods graphics / reset height=600px labelMax=600;
2	PROC SGRENDER template=selections DATA=sashelp.cars;
3	dynamic upLimit=44 lowLimit=16 ;
4	RUN;

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