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The code first configures global graphics options. Then, it filters the `sashelp.class` table for each age (11 to 16 years old) to generate pie charts representing sex distribution. These charts are exported as local PNG files. Finally, these images are reused via `PATTERN` statements to fill the bars of a vertical histogram representing the ages.

Data Analysis

Type : SASHELP

Uses the standard `sashelp.class` table provided with SAS.

1 Code Block

GOPTIONS

Explanation :
Resetting and configuring global graphics parameters (size, resolution, font, PNG output driver).

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1	goptions reset=all gsfname=g device=png xmax=6in ymax=4in xpixels=1800
2	ypixels=1200 ftext='Arial' htext=5pct;
3

2 Code Block

PROC GCHART

Explanation :
Sequential generation of pie charts for each age group. Each chart is saved in a distinct PNG file specified by the `FILENAME` statement. Note: The 'c:\' paths are specific to Windows and will need to be adapted for a SAS Viya (Linux) environment.

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1	filename g 'c:\sex11.png' ; PROC GCHART DATA=sashelp.class ; where age=11 ; pie sex ; RUN ;
2	filename g 'c:\sex12.png' ; PROC GCHART DATA=sashelp.class ; where age=12 ; pie sex ; RUN ;
3	/* ... Répété pour les âges 13 à 16 ... */
4	filename g 'c:\sex16.png' ; PROC GCHART DATA=sashelp.class ; where age=16 ; pie sex ; RUN ;

3 Code Block

PROC GCHART

Explanation :
Creation of the final chart (vertical histogram by age). The `PATTERN` statements map the previously generated PNG images to the chart bars. The `subgroup=age` option ensures that each bar uses the pattern corresponding to its age.

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1	filename g 'c:\vbar.png' ;
2	pattern1 image='c:\sex11.png' ;
3	pattern2 image='c:\sex12.png' ;
4	pattern3 image='c:\sex13.png' ;
5	pattern4 image='c:\sex14.png' ;
6	pattern5 image='c:\sex15.png' ;
7	pattern6 image='c:\sex16.png' ;
8	title c=red 'Male ... ' c=green 'Female' ;
9	PROC GCHART DATA=sashelp.class ;
10	vbar age / subgroup=age discrete width=20 nolegend ;
11	RUN; QUIT;

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