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The Workflow of Data Analysis Using Stata
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HKD 737
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The Workflow of Data Analysis Using Stata is an essential productivity tool for data analysts.
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What Stands Out
產品詳情
| Publisher | Stata Press |
| Publication date | December 10, 2008 |
| Edition | 1st |
| Language | English |
| Print length | 379 pages |
| ISBN-10 | 1597180475 |
| ISBN-13 | 978-1597180474 |
| Item Weight | 1.75 pounds (790 grams) |
| Dimensions | 7.25 x 1 x 9 inches (18.4 x 2.5 x 22.9 cm) |
Who Should Buy?
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Graduate Students
Ideal for graduate students who require practical skills in data analysis for their academic research projects.
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Data Analysts
Data analysts looking to enhance their proficiency with Stata will find tailored workflows and techniques beneficial.
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Research Professionals
Research professionals can leverage the book’s structured approach to streamline their data analysis processes using Stata.
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Beginners
Complete novices may find the content challenging without foundational knowledge in statistics and data analysis.
產品敘述
The Workflow of Data Analysis Using Stata
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Probability & Statistics Editorial Review
The Workflow of Data Analysis Using Stata 1st Edition provides helpful advice and tips for organizing and documenting research. The book covers the whole workflow of data analysis and explains the reasoning behind certain actions based on the author's experience. However, some readers were disappointed with the lack of exercises after each chapter and the missing information in the Kindle version. Overall, the book is recommended for researchers and those working on project management.
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優點
- Provides helpful advice for organizing and documenting research
- Covers the whole workflow of data analysis
- Explains reasoning behind actions based on author's experience
- Recommended for researchers and project management
缺點
- Lacks exercises after each chapter
Product Price History
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特色和優勢
- Essential productivity tool for data analysts
- Designed for both one-person projects and team projects
- Covers planning, organizing, and documenting work
- Provides insights on writing and debugging Stata do-files
- Discusses conventions for simplifying data analysis
- Includes topics on cleaning, analyzing, and protecting data
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