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PROC SQL by Example: Using SQL within SAS
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PROC SQL by Example: Using SQL within SAS
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PROC SQL by Example: Using SQL Within SAS
Language: English
Published by SAS Institute 2008-09, 2008
ISBN 10: 1599942976 ISBN 13: 9781599942971
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Proc SQL by Example : Using SQL Within SAS
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Proc SQL by Example : Using SQL Within SAS
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Kartoniert / Broschiert. Condition: New. KlappentextrnrnIn PROC SQL by Example: Using SQL within SAS, author Howard Schreier illustrates the use of PROC SQL in the context of the SAS DATA step and other SAS procedures (such as SORT, FREQ, MEANS, SUMMARY, APPEND, DATASETS, and TRANSPOSE.
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PROC SQL by Example: Using SQL within SAS
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Taschenbuch. Condition: Neu. PROC SQL by Example | Using SQL Within SAS | Howard Schreier | Taschenbuch | Englisch | 2008 | SAS Institute | EAN 9781599942971 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In PROC SQL by Example: Using SQL within SAS, author Howard Schreier illustrates the use of PROC SQL in the context of the SAS DATA step and other SAS procedures (such as SORT, FREQ, MEANS, SUMMARY, APPEND, DATASETS, and TRANSPOSE) whose functionality overlaps and complements that of SQL. Using a side-by-side approach, this concise reference guide includes many extensively explained examples showing equivalent DATA step and SQL code, enabling SAS users to take advantage of existing SAS skills and knowledge while learning about SQL. Discussions cover the differences between SQL and the DATA step as well as situations where SQL and the DATA step are used together to benefit from the strengths of each. Topics addressed include working with joins and merges; using subqueries; understanding set operators; using the Macro Facility with PROC SQL; maintaining tables; working with views; using PROC SQL as a report generator; and more. This text is ideal for SAS programmers seeking to add PROC SQL to their SAS toolkits as well as SQL programmers striving to better integrate the SAS DATA step and SQL.
