
SAS (R) Coding Primer and Reference Guide
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Getting to know raw data
Understanding variables
Getting data into SAS
Creating new data variables
Performing data manipulations, including sorting, ranking, grouping, subtotal, total, and percentage
Statistical testing under a broad range of logical and conditional settings
Data visualization
Throughout this book, statements and codes are accompanied by thorough annotation. Line-by-line explanations ensure that all terms are clearly explained. Code examples and sample codes have broad usages. All the examples are related to highway transportation where the use of big data is exploding and presenting new challenges and opportunities for growth.
Clear and precise practical introductory material on statistics is integrated into the relevant SAS procedures to bolster users' confidence in applying such methods to their own work.
Comprehensive and foundational coverage, systematic introduction of programming topics, thoroughly annotated code examples, and real-world code samples combine to make SAS (R) Coding Primer and Reference Guide an indispensable reference for beginners and experienced programmers.
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