Random Data Generation and SGPLOT Visualization

This program uses a DATA step to generate a dataset of 100 observations following a normal distribution. It then uses the SGPLOT procedure to display this data in a scatter plot with custom markers (4mm stars).

Data Analysis

Type : CREATION_INTERNE

Data is entirely generated in the DATA step via the RAND function.

1 Code Block

DATA STEP Data

Explanation :
Creation of a temporary table 'random_norm'. Use of 'CALL streaminit' for reproducibility and a DO loop to generate 100 observations where 'y' follows a standard normal distribution.

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1	/* Generate some random data with group variable*/
2	DATA random_norm;
3	CALL streaminit(585);
4	DO x = 1 to 100;
5	y = rand("Normal");
6	OUTPUT;
7	END;
8	RUN;

2 Code Block

PROC SGPLOT

Explanation :
Generation of a Scatter Plot from the created data. The MARKERATTRS option is used to define the symbol (star) and size of the points.

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1	/* Modify points of scatterplot with MARKERATTRS= */
2	PROC SGPLOT DATA = random_norm;
3	SCATTER X=x Y=y / MARKERATTRS = (SYMBOL = STAR SIZE = 4MM);
4	TITLE "MARKERATTRS options";
5	RUN;

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