Data Manipulation with SAS

SAS 9    |    Beginner
  • 13 videos | 54m 32s
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Depending on the situation, you may need to manipulate a SAS data set to generate the desired analytical report. Explore the manipulation of data sets, including merging and combining sets.

WHAT YOU WILL LEARN

  • Use the if-then statement and the if-then do statement to execute statements conditionally in sas
    Use the else statement to execute alternative actions in an if-then statement in sas
    Use the subsetting if statement and the where statement to subset observations in sas
    Use the if-then delete statement to subset observations in sas
    Describe the methods for combining data sets in sas
    Use the append procedure to append a sas data set to another sas data set
    Use the force option with the append procedure to append one sas data set to another sas data set
  • Use the set statement in a data step to concatenate two or more sas data sets
    Use the rename= data set option to change the names of variables in sas
    Merge sas data sets one-to-one based on a common variable using merge and by statements in a data step
    Merge sas data sets one-to-many based on a common variable using merge and by statements in a data step
    Use the in= option to control the observations in the output sas data set
    Validate and clean data sets and combine them with an append operation and a concatenation

IN THIS COURSE

  • 4m 23s
  • 3m 31s
  • Locked
    3.  Using IF and WHERE to Subset Observations
    4m 32s
  • Locked
    4.  Using IF-THEN DELETE to Subset Observations
    3m 18s
  • Locked
    5.  Combining SAS Data Sets
    2m 15s
  • Locked
    6.  Using APPEND to Combine Data Sets
    5m 48s
  • Locked
    7.  Using the FORCE option to an APPEND Procedure
    3m 46s
  • Locked
    8.  Using SET in a DATA Step to Concatenate Data Sets
    3m 56s
  • Locked
    9.  Using RENAME to Change Variable Names
    3m 39s
  • Locked
    10.  Merging Data Sets One-To-One
    3m 9s
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    11.  Merging Data Sets One-To-Many
    2m 18s
  • Locked
    12.  Merging Data Sets with Nonmatches
    4m 56s
  • Locked
    13.  Exercise: Validating, Cleaning, and Combining Data
    9m 1s

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