Data Management Using Stata: A Practical Handbook, Second Edition

$19.02

Data Management Using Stata: A Practical Handbook, Second Edition focuses on tasks that bridge the gap between raw data and statistical analysis. This second edition 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. Book details Publisher: Stata Press; 2 edition (May 21, 2020) Publication Date: May 21, 2020 Language: English ASIN: B0891PLM2F

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Data Management Using Stata: A Practical Handbook, Second Edition
focuses on tasks that bridge the gap between raw data and statistical analysis. This second edition 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.
Book details
Publisher:
Stata Press; 2 edition (May 21, 2020)
Publication Date:
May 21, 2020
Language:
English
ASIN:
B0891PLM2F