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This book is the definitive guide to SQL*Plus. If you want to take best advantage of the power and flexibility of this popular Oracle tool, you need this book. SQLPlus is an interactive query tool that is ubiquitous in the Oracle world. It is present in every Oracle installation and is available to almost every Oracle developer and database administrator. SQLPlus has been shipped with Oracle since at least version 6. It continues to be supported and enhanced with each new version of Oracle, including Oracle8 and Oracle8i. It is still the only widely available tool for writing SQL scripts. Despite this wide availability and usage, few developers and DBAs know how powerful SQL*Plus really is. This book introduces SQLPlus, includes a quick reference to all of its syntax options, and, most important, provides chapters that describe, in step-by-step fashion, how to perform all of the tasks that Oracle developers and DBAs want to perform with SQLPlus -- and maybe some they didn't realize they COULD perform with SQLPlus. You will learn how to write and execute script files, generate ad hoc reports, extract data from the database, query the data dictionary tables, customize your SQLPlus environment, and use the SQL*Plus administrative features (new in Oracle8i). This book is an indispensable resource for readers who are new to SQL*Plus, a task-oriented learning tool for those who are already using it, and a quick reference for every user. A table of contents follows: Preface Introduction to SQLPlus Interacting with SQLPlus Generating Reports with SQLPlus Writing SQLPlus Scripts Extracting Data with SQLPlus Exploring Your Database with SQLPlus Advanced Scripting Tuning and Timing The Product User Profile Administration with SQLPlus Customizing Your SQLPlus Environment Appendices A. SQLPlus Command Reference B. Connect Strings and the SQLPlus Command
"With an easy, step-by-step approach, this guide shows beginners how to install, use, and maintain the world's most popular open source database: MySQL. You'll learn through real-world examples and many practical tips, including information on how to improve database performance. Database systems such as MySQL help data handling for organizations large and small handle data, providing robust and efficient access in ways not offered by spreadsheets and other types of data stores. This book is also useful for web developers and programmers interested in adding MySQL to their skill sets. Topics include: Installation and basic administration ; Introduction to databases and SQL ; Functions, subqueries, and other query enhancements ; Improving database performance ; Accessing MySQL from popular languages"--
Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production
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This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.