The Workflow of Data Analysis Using Stata by J. Scott Long - Presentation Transcript
The Workflow of Data Analysis Using
Stata by J. Scott Long
Another Winner From Stata Press
The Workflow of Data Analysis Using Stata, by J. Scott Long, is an
essential productivity tool for data analysts. Long presents lessons gained
from his experience and demonstrates how to design and implement
efficient workflows for both one-person projects and team projects. After
introducing workflows and explaining how a better workflow can make it
easier to work with data, Long describes planning, organizing, and
documenting your work. He then introduces how to write and debug Stata
do-files and how to use local and global macros. After a discussion of
conventions that greatly simplify data analysis the author covers cleaning,
analyzing, and protecting data. Multi/Card Deck Copy
Personal Review: The Workflow of Data Analysis Using Stata by
J. Scott Long
Time and again I order Stata Press books because they are easy to read,
clear, explicit, and written for data users at all levels. This book is no
exception. I'm a doctoral student working on my dissertation, and the
largest hurdle I've had so far is managing my data since I use very large
datasets. I found myself time and again getting lost in the details of
prepping the data and then having to go back and rerun things when I
realized I had omitted crucial first steps (if I could even find the do files I
had written). Since data management is not something that is taught in my
program (and likely not in others), this book is crucial to doing efficient,
replicable work. It's a gem-glad I found out about it. Another five-star
rating for a Stata Press book, and kudos to J.Scott Long.
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The Workflow of Data Analysis Using Stata by J. Scott Long 5 Star Customer Reviews
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Time and again I order Stata Press books because th more
Time and again I order Stata Press books because they are easy to read, clear, explicit, and written for data users at all levels. This book is no exception. I'm a doctoral student working on my dissertation, and the largest hurdle I've had so far is managing my data since I use very large datasets. I found myself time and again getting lost in the details of prepping the data and then having to go back and rerun things when I realized I had omitted crucial first steps (if I could even find the do files I had written). Since data management is not something that is taught in my program (and likely not in others), this book is crucial to doing efficient, replicable work. It's a gem-glad I found out about it. Another five-star rating for a Stata Press book, and kudos to J.Scott Long. less
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