Survey Response Analysis

This SAS^© script creates a dataset named 'Survey_Responses'. It defines five alphanumeric variables (QUES1 to QUES5) to store survey responses, each with specific lengths. The data is directly provided within the script via a DATALINES block. Then, PROC FREQ is used to generate frequency tables for each question (QUES1 to QUES5), without displaying cumulative percentages (NOCUM option).

Data Analysis

Type : CREATION_INTERNE

The survey data is created directly within the SAS script using the DATALINES statement, meaning it does not come from external files or existing SAS libraries (other than base data provided by SASHELP, which is not used here).

1 Code Block

DATA STEP Data

Explanation :
This DATA STEP block creates a new dataset named 'Survey_Responses'. The 'input' statement defines five alphanumeric variables (QUES1 to QUES5) with their maximum lengths. The 'datalines' block marks the beginning of the raw data that will be read line by line to populate the dataset. Each line represents an individual's responses to the survey.

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1	DATA Survey_Responses;
2	INPUT QUES1 $1 QUES2 $2 QUES3 $3 QUES4 $4 QUES5 $5;
3
4	DATALINES;
5	ABCDE
6	AACCE
7	BBBBB
8	CABDA
9	DDAAC
10	CABBB
11	EEBBB
12	ACACA
13	;

2 Code Block

PROC FREQ

Explanation :
This block executes the PROC FREQ procedure to calculate the frequency distribution of responses for variables QUES1 to QUES5. The 'tables QUES1 - QUES5' statement indicates to analyze all variables from QUES1 to QUES5. The '/ nocum' option suppresses the display of cumulative frequencies in the output table.

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1	PROC FREQ;
2	tables QUES1 - QUES5 / nocum;
3	RUN;

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