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Condizione: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Condizione: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Da: Better World Books Ltd, Dunfermline, Regno Unito
EUR 5,35
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Editore: Taylor & Francis Group, 2010
ISBN 10: 1597180769 ISBN 13: 9781597180764
Lingua: Inglese
Da: TextbookRush, Grandview Heights, OH, U.S.A.
Condizione: Acceptable. Expedited orders RECEIVED in 1-5 business days within the United States. Orders ship SAME or NEXT business day. We proudly ship to APO/FPO addresses. 100% Satisfaction Guaranteed!
Paperback. Condizione: Fair. 2. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Editore: Stata Press, College Station, 2020
ISBN 10: 1597183180 ISBN 13: 9781597183185
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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.
Condizione: New. pp. 512.
EUR 70,57
Quantità: 10 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 74,92
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 512.
Editore: Texas: Stata Press., 2010
Lingua: Inglese
Da: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germania
Membro dell'associazione: GIAQ
EUR 8,00
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
EUR 77,93
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 512.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 77,31
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 74,75
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 89,10
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2020. 2nd Edition. Paperback. . . . . .
EUR 77,08
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 1112.
EUR 86,34
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 512 pages. 9.00x7.00x1.25 inches. In Stock.
EUR 67,60
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: NEW.
Editore: Stata Press, College Station, 2020
ISBN 10: 1597183180 ISBN 13: 9781597183185
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 83,65
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Condizione: New. 2020. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
EUR 125,22
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 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 saving-there is a good chance that even the experienced user will learn some new tricks.
EUR 20,01
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.