The GCHART Procedure

Example 11: Assigning Patterns and Identifying Midpoints with a Legend

Procedure features:

PIE statement options:

	COUTLINE=
	CTEXT=
	DESCENDING
	LEGEND=
	OTHER=
	OTHERLABEL=
	VALUE=INSIDE

Other features:

LEGEND statement

PATTERN statement

Data set:

ENPROD

Sample library member:

GR13N11

[IMAGE]

This example shows the actual amount of energy that is produced by each source for 1985. It displays the chart statistic inside each slice and uses a legend instead of slice labels to identify the slices. Pattern colors are assigned explicitly to each energy source.

All of the variables with midpoint values less than or equal to 5 percent of the total (in this case, biofuels, geotherm, and hydro) are grouped into one slice labeled "Other." The slices are ordered from largest to smallest based on the statistic value. Although the "Other" slice is always last, it is in this case also the smallest.

libname reflib 'SAS-data-library'; goptions reset=global gunit=pct border cback=white colors=(black blue green red) ftitle=swissb ftext=swiss htitle=5 htext=4;

title1 'Principle Sources of Energy: 1985'; title2 font=swissb h=4.5 '(Amounts in quadrillion btu)'; footnote h=3 j=r 'GR13N11 ';

pattern1 color=black; /* biofuels */ pattern2 color=blue; /* coal */ pattern3 color=green; /* gas */ pattern4 color=gray; /* geothermal */ pattern5 color=lipk; /* hydroelectric */ pattern6 color=lime; /* nuclear */ pattern7 color=cyan; /* petro */ pattern8 color=red; /* other */

legend1 label=none position=(left middle) offset=(4,) across=1 order=('Coal' 'Gas' 'Petro' 'Nuclear' 'Other') value=(color=black) shape=bar(4,4);

proc gchart data=reflib.enprod(where=(year=1985)); pie engytype / sumvar=produced other=5 otherlabel='Renewable' descending legend=legend1 value=inside ctext=white coutline=black noheading; run; quit;

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