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Cody's Data Cleaning Techniques Using SAS Software [Pehme köide]

  • Formaat: Paperback / softback, 226 pages, kõrgus x laius x paksus: 227x191x12 mm, kaal: 435 g, Illustrations
  • Ilmumisaeg: 01-Jan-1999
  • Kirjastus: SAS Institute
  • ISBN-10: 1580256007
  • ISBN-13: 9781580256001
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Cody's Data Cleaning Techniques Using SAS SoftwareSuurem pilt
  • Formaat: Paperback / softback, 226 pages, kõrgus x laius x paksus: 227x191x12 mm, kaal: 435 g, Illustrations
  • Ilmumisaeg: 01-Jan-1999
  • Kirjastus: SAS Institute
  • ISBN-10: 1580256007
  • ISBN-13: 9781580256001
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781580256001.html
Märksõnad:
List of Programs
ix
Introduction xvii
Acknowledgments xix
Checking Values of Character Variables
Introduction
1(1)
Using Proc Freq to List Values
1(1)
Description of the File Patients.txt
2(4)
Using a Data Step to Check for Invalid Values
6(5)
Using Proc Print with a Where Statement to List Invalid Values
11(2)
Using Formats to Check for Invalid Values
13(4)
Using Informats to Check for Invalid Values
17(4)
Checking Values of Numeric Variables
Introduction
21(1)
Using Proc Means, Proc Tabulate, and Proc Univariate to Look for Outliers
22(10)
Using Proc Print with a Where Statement to List Invalid Data Values
32(1)
Using a Data Step to Check for Invalid Values
33(1)
Creating a Macro for Range Checking
34(3)
Using Formats to Check for Invalid Values
37(3)
Using Informats to Check for Invalid Values
40(3)
Using Proc Univariate to Look for Highest and Lowest Values by Percentage
43(5)
Using Proc Rank to Look for Highest and Lowest Values by Percentage
48(3)
Extending Proc Rank to Look for Highest and Lowest ``n'' Values
51(4)
Finding Another Way to Determine Highest and Lowest Values
55(3)
Checking a Range Using an Algorithm Based on Standard Deviation
58(4)
Macros Based on the Two Methods of Outlier Detection
62(2)
Demonstrating the Difference between the Two Methods
64(1)
Checking a Range Based on the Interquartile Range
65(3)
Checking Ranges for Several Variables
68(5)
Checking for Missing Values
Introduction
73(1)
Inspecting the SAS Log
73(3)
Using Proc Means and Proc Freq to Count Missing Values
76(2)
Using Data Step Approaches to Identify and Count Missing Values
78(4)
Using Proc Tabulate to Count Missing and Nonmissing Values for Numeric Variables
82(1)
Using Proc Tabulate to Count Missing and Nonmissing Values for Character Variables
83(1)
Creating a General Purpose Macro to Count Missing and Nonmissing Values for Both Numeric and Character Variables
84(4)
Searching for a Specific Numeric Value
88(5)
Working with Dates
Introduction
93(1)
Checking Ranges for Dates (Using a Data Step)
94(1)
Checking Ranges for Dates (Using Proc Print)
95(1)
Checking for Invalid Dates
95(4)
Working with Dates in Nonstandard Form
99(2)
Creating a SAS Date When the Day of the Month Is Missing
101(2)
Suspending Error Checking for Known Invalid Dates
103(2)
Looking for Duplicates and ``n'' Observations per Subject
Introduction
105(1)
Eliminating Duplicates by Using Proc Sort
105(5)
Detecting Duplicates by Using Data Step Approaches
110(3)
Using Proc Freq to Detect Duplicate ID's
113(2)
Selecting Patients with Duplicate Observations by Using a Macro List and SQL
115(2)
Identifying Subjects with ``n'' Observations Each (Data Step Approach)
117(2)
Identifying Subjects with ``n'' Observations Each (Using Proc Freq)
119(2)
Working with Multiple Files
Introduction
121(1)
Checking for an ID in Each of Two Files
121(3)
Checking for an ID in Each of ``n'' Files
124(2)
A Simple Macro to Check ID's in Multiple Files
126(3)
A More Complicated Multi-File Macro for ID Checking
129(2)
More Complicated Multi-File Rules
131(3)
Checking That the Dates Are in the Proper Order
134