MATLAB Graphics and Data Visualization CookbookCollection of data visualization recipes with functionalized versions of common tasks for easy integration into your data analysis workflow. Recipes cross-referenced with MATLAB product pages and MATLAB Central File Exchange resources for improved coverage. Includes hand created indices to find exactly what you need; such as application driven, or functionality driven solutions. ...
Statistical Analysis with RR is a data analysis tool, graphical environment, and programming language. Without any prior experience in programming or statistical software, this book will help you quickly become a knowledgeable user of R. Now is the time to take control of your data and start producing superior statistical analysis with R.
This book will take you on a journey as the strategist for an ancient Chinese kingdom. Along the way, you will learn how to use R to arrive at practical solutions and how to effectively communicate your results. Ultimately, the fate of the kingdom depends on your ability to make informed, data-driven decisions with R. ...
Google Visualization API EssentialsThere's a lot of data in our world, and visual representations are often the best method of making sense of it all. Yet, it should not take an army of programmers and analysts to create visualizations in order to make data useful. The Google Visualization API is accessible to novice and advanced programmers alike, making data useful to more people.
Google Visualization API Essentials will show you how to create interactive data displays with very little code. The API, combined with Google Spreadsheets and Fusion Tables, is a complete system, from data management to analytical displays. Not only is it simple to learn, but the Google Visualization API can also be viewed as a first step to learning additional Google APIs. ...
Exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012Ace your preparation for Microsoft Certification Exam 70-463 with this 2-in-1 Training Kit from Microsoft Press. Work at your own pace through a series of lessons and practical exercises, and then assess your skills with online practice tests - featuring multiple, customizable testing options.
Design and implement a data warehouse. Develop and enhance SQL Server Integration Services packages. Manage and maintain SQL Server Integration Services packages. Build data quality solutions. Implement custom code in SQL Server Integration Services packages. ...
Splunk Operational Intelligence CookbookThis book contains over 70 practical, task-oriented recipes to build up your knowledge of Splunk's many features which you can apply to real-world operational intelligence scenarios.
Right from the first chapter, you will follow recipes that progressively build upon one another. The recipes provided will demonstrate methods to expedite delivery of intelligence reports and empower you to present data in a meaningful way through dashboards and by applying visualizations available in Splunk Enterprise. You will also delve deeply into your data with transactions, subsearching, concurrency, and more advanced search commands. ...
Think Stats, 2nd EditionIf you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts. ...
Mining the Social WebFacebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed.
Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. ...
NX-OS and Cisco Nexus SwitchingCisco Nexus switches and the new NX-OS operating system are rapidly becoming the new de facto standards for data center distribution/aggregation layer networking. NX-OS builds on Cisco IOS to provide advanced features that will be increasingly crucial to efficient data center operations. NX-OS and Cisco Nexus Switching is the definitive guide to utilizing these powerful new capabilities in enterprise environments. ...
Data Structures and Algorithms in Java, 6th EditionThe design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework. ...
Data Mining AlgorithmsData Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R. ...