Data Manipulation in SAS
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Questions and Answers

What is the purpose of the WHERE statement in the DATA step?

  • To create new columns in the output data set.
  • To rename the input data set.
  • To format existing columns in the output data set.
  • To filter rows based on a specified condition. (correct)
  • How do you create a new numeric column in a DATA step?

  • DATA output-table; SET input-table; col-name = expression; RUN;
  • DATA output-table; SET input-table; LENGTH new-column $ length; RUN;
  • DATA output-table; SET input-table; new-column = expression; RUN; (correct)
  • DATA output-table; SET input-table; FORMAT col-name format; RUN;
  • What function would you use to calculate the maximum of the provided values?

  • MEAN(arguments)
  • MAX(num1, num2...) (correct)
  • N(arguments)
  • SUM(arguments)
  • What does the DROP statement achieve in a DATA step?

    <p>It excludes specified columns from the output data set.</p> Signup and view all the answers

    Which statement correctly formats a column in the DATA step?

    <p>DATA output-table; SET input-table; FORMAT col-name format; RUN;</p> Signup and view all the answers

    How do you define the length of a character column in a DATA step?

    <p>LENGTH char-column $ length;</p> Signup and view all the answers

    Which function is used to concatenate character strings while removing leading and trailing blanks?

    <p>CATS(char1, char2,...)</p> Signup and view all the answers

    What is the result of using the SUM function with missing values in its arguments?

    <p>It calculates the sum by ignoring all missing values.</p> Signup and view all the answers

    Signup and view all the answers

    Study Notes

    Reading and Filtering Data

    • Create a copy of data using DATA output-table; SET input-table; RUN;
    • Filter rows using WHERE expression in a DATA step. Example: DATA output-table; SET input-table; WHERE age > 25; RUN;
    • Specify columns in the output using DROP or KEEP. Example: DROP col1 col2; or KEEP col3 col4;

    Formatting Columns

    • Format columns in a DATA step using FORMAT. Example: FORMAT col-name format;

    Computing New Columns

    • Create new columns using expressions. Example new-column = expression;
    • SAS automatically assigns type and length to new columns. Character columns' length is based on the assigned string length.
    • Character strings must be quoted and are case-sensitive.

    Using Functions

    • Calculate summary statistics using functions (e.g., SUM, MEAN, MIN, MAX, N). Exclude missing values by default.
    • Character functions like UPCASE, LOWCASE, PROPCASE are available.
    • Date functions extract parts of dates (e.g., MONTH, YEAR, DAY).
    • CATS concatenates strings.
    • SUBSTR extracts substrings.
    • MDY creates a date from month, day, year values.
    • TODAY returns the current date as a SAS date.
    • Use functions within expressions, like, new-column = function(arguments);

    Conditional Processing

    • Use IF-THEN statements for simple conditions. Example: IF age > 65 THEN DO; statement; END;
    • Use IF-THEN-ELSE for more complex conditions. Example: IF age > 65 THEN DO; expensive; END; ELSE DO; cheap END;
    • Use IF-THEN-DO for multiple statements based on a condition. Example: IF score > 90 THEN DO; print 'Excellent'; grade = 'A'; END;

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    Description

    This quiz focuses on data manipulation techniques using SAS programming. Topics include filtering data, formatting columns, creating new columns, and utilizing functions for summary statistics. Test your knowledge on how to effectively manage and analyze datasets in SAS.

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