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Data Management Using Stata

A Practical Handbook
By Michael N. Mitchell
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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Data Management Using Stata by Michael N. Mitchell is an updated guide focusing on bridging the gap between raw data and statistical analysis. This second edition reflects new features introduced over the past decade, such as handling multiple datasets simultaneously, advanced file format support, customised Excel output, and Unicode string manipulation. The book is organised into self-contained lessons on various data management tasks, from importing and cleaning data to programming customised Stata solutions. It serves both as a quick reference and a comprehensive learning resource, addressing common pitfalls and offering strategic advice.
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for new Stata users looking to develop solid data management skills, as well as experienced users seeking practical tips and time-saving techniques. It suits students, researchers, and professionals who work with data and seek an efficient, modular approach to managing datasets within Stata.

Book Hero thinking about your next read

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.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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 customised 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 organised by data management areas: reading and writing datasets, cleaning data, labelling 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.

Book Details

INFORMATION

ISBN: 9781597183185

Publisher: Stata Press

Format: Paperback / softback

Date Published: 25 June 2020

Country: United States

Imprint: Stata Press

Edition: 2nd edition

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Width: 184.0mm

Height: 235.0mm

Weight: 1060g

Pages: 512

Collections

Computing & Technology Education & Reference Finance & Economics Finance & Investment Michael N. Mitchell Non-Fiction Science & Nature

About the Author

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 Guide to Stata Graphics, Interpreting and Visualizing regression Models Using Stata, and Stata for the Behavioral Sciences.

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