Published by Stata Press (edition 1), 2010
ISBN 10: 1597180769 ISBN 13: 9781597180764
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Published by Stata Press (edition 1), 2010
ISBN 10: 1597180769 ISBN 13: 9781597180764
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Published by Taylor & Francis Group, 2010
ISBN 10: 1597180769 ISBN 13: 9781597180764
Language: English
Seller: Better World Books Ltd, Dunfermline, United Kingdom
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Add to basketCondition: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Published by Taylor & Francis Group, 2010
ISBN 10: 1597180769 ISBN 13: 9781597180764
Language: English
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Published by Stata Press, College Station, 2020
ISBN 10: 1597183180 ISBN 13: 9781597183185
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condition: new. Paperback. This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the nuts and bolts examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time savingthere is a good chance that even the experienced user will learn some new tricks. This second edition focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout. It is useful both as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New. pp. 512.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 1112.
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Add to basketPaperback. Condition: Brand New. 2nd edition. 512 pages. 9.00x7.00x1.25 inches. In Stock.
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Add to basketCondition: New. 2020. 2nd Edition. Paperback. . . . . .
Published by Stata Press, College Station, 2020
ISBN 10: 1597183180 ISBN 13: 9781597183185
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
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Add to basketPaperback. Condition: new. Paperback. This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the nuts and bolts examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time savingthere is a good chance that even the experienced user will learn some new tricks. This second edition focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout. It is useful both as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Condition: New. 2020. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
Published by Stata Press Jun 2020, 2020
ISBN 10: 1597183180 ISBN 13: 9781597183185
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - This second edition focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout. It is useful both as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills.
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Add to basketCondition: New. Michael Mitchell is a senior statistician working in the area of sleep research as well as working on prevention of child maltreatment with the Children s Data Network. He is the author of three other Stata Press books: A Visual Guid.
Paperback. Condition: very good. little wear and tear.
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Add to basketPaperback. Condition: New. New. book.
Published by Texas: Stata Press., 2010
Language: English
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
Association Member: GIAQ
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Add to basketPaperback. Condition: Gut. 387 p., with numerous tables, 23 cm, Cover with marks of a removed label and slightly used. Acceptable condition. Library copy with usual marks. Sprache: Englisch Gewicht in Gramm: 787.