Data Management Essentials Using SAS and JMP
Nonfiction, Computers, Advanced Computing, Natural Language Processing, Science & Nature, Mathematics, Health & Well Being, Medical
| Author: | Julie Kezik, Melissa Hill | ISBN: | 9781316591598 |
| Publisher: | Cambridge University Press | Publication: | June 20, 2016 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | Julie Kezik, Melissa Hill |
| ISBN: | 9781316591598 |
| Publisher: | Cambridge University Press |
| Publication: | June 20, 2016 |
| Imprint: | Cambridge University Press |
| Language: | English |
SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.
SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.
