Pro SQL Server 2008 Analytics provides everything you need to know to develop sophisticated and visually appealing sales and marketing dashboards using SQL Server 2008 and to integrate those dashboards with SharePoint, PerformancePoint, and other key Microsoft technologies.

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book

Yahoo! Web Analytics teaches readers how to collect data, report on that data, and derive useful insights using Yahoo!’s free Web analytics tool. This detailed resource from Yahoo!’s Director of Data Insights discusses the why of Web analytics as well as the how while revealing secrets and tricks not documented elsewhere. The thorough book also offers step-by-step instructions and advanced techniques on everything from using data collection groupings to creating compelling data visualizations. It’s a must-read for all analytics professionals and those who want to be.

Praise for Google Speaks "It's not hard to see that Google is a phenomenal company....At Geico, we pay these guys a whole lot of money for this and that key word." – Warren Buffett "Google rocks. It raised my perceived IQ by about 20 points." – Wes Boyd, President of Moveon.Org "Google is my rapid response research assistant. It's the Swiss Army knife of information retrieval." – Lloyd Grove, columnist, Portfolio.com "Who's afraid of Google? Everyone." – Wired magazine "Writers of the past had absinthe, whiskey or heroin. I have Google." – Michael Chabon, author of The Amazing Adventures of Kavalier and Clay

A budget is a financial action plan for an organization. This guide will teach you how to: - Forecast future business results, such as sales volume, revenues, and expenses - Reconcile those forecasts to organizational goals - Obtain organizational support for your proposed budget - Fine-tune your budget over time

In Just Enough SAS: A Quick-Start Guide to SAS for Engineers, Robert Rutledge provides "just enough" instruction on a broad variety of topics so that a new SAS user can become productive very quickly. Although most of the material in the book is geared toward a general audience, engineers will especially benefit from the focus on analysis of quality and reliability data found in Chapters 9 and 10 as well as in the examples throughout the book. This comprehensive text, prepared using SAS 9.2, can be used both as a tutorial for getting started with SAS and as a reference for details that even experienced SAS users find themselves looking up over and over again. In addition, the companion code to the book includes a set of commonly used utility macros that allow SAS users to wield maximum power with minimal effort. A complete bibliography provides readers with numerous opportunities for further learning.Topics addressed include bringing data into SAS from a spreadsheet or relational database, plotting data with ODS Statistical Graphics, summarizing and manipulating data for analysis using DATA steps and procedures, publishing results on the Internet and in PDF and RTF, creating appropriate plots of data using PROC GPLOT and PROC GCHART and the newer statistical graphics procedures, with particular emphasis on quality control and reliability analysis - key areas for engineers working in high-tech manufacturing and development, and using the SAS macro language to streamline and automate data analysis projects.New SAS users will find Rutledge's book useful as a quick-start guide to doing meaningful work with SAS, and experienced users will find numerous tips and techniques for improving and extending their coding methods.

Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of high scientific impact, including: sampling and search techniques; use of mass spectrometry; genome functional annotation; and much more. Offering detailed coverage for practitioners while remaining accessible to the novice, Structural Bioinformatics, Second Edition is a valuable resource and an excellent textbook for a range of readers in the bioinformatics and advanced biology fields. Praise for the previous edition: "This book is a gold mine of fundamental and practical information in an area not previously well represented in book form." —Biochemistry and Molecular Education "... destined to become a classic reference work for workers at all levels in structural bioinformatics...recommended with great enthusiasm for educators, researchers, and graduate students." —BAMBED "...a useful and timely summary of a rapidly expanding field." —Nature Structural Biology "...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue." —Briefings in Bioinformatics

Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the Market Risk Analysis four volume set. Building on the three previous volumes this book provides by far the most comprehensive, rigorous and detailed treatment of market VaR models. It rests on the basic knowledge of financial mathematics and statistics gained from Volume I, of factor models, principal component analysis, statistical models of volatility and correlation and copulas from Volume II and, from Volume III, knowledge of pricing and hedging financial instruments and of mapping portfolios of similar instruments to risk factors. A unifying characteristic of the series is the pedagogical approach to practical examples that are relevant to market risk analysis in practice. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Parametric linear value at risk (VaR)models: normal, Student t and normal mixture and their expected tail loss (ETL); New formulae for VaR based on autocorrelated returns; Historical simulation VaR models: how to scale historical VaR and volatility adjusted historical VaR; Monte Carlo simulation VaR models based on multivariate normal and Student t distributions, and based on copulas; Examples and case studies of numerous applications to interest rate sensitive, equity, commodity and international portfolios; Decomposition of systematic VaR of large portfolios into standard alone and marginal VaR components; Backtesting and the assessment of risk model risk; Hypothetical factor push and historical stress tests, and stress testing based on VaR and ETL. "The ebook version does not provide access to the companion files".

The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.

In this Wrox Blox, you'll learn how to create powerful Dashboards for Windows SharePoint Services 3.0. First, we introduce Web Part Pages and some of the out-of-the box Web Parts available in WSS. We then look at how to use Web Part Connections to add interactivity to our Dashboards. Later we create advanced Dashboard Views using the Data Form Web Part available with SharePoint Designer 2007. While the author focuses on Windows SharePoint Services, all of the topics discussed also apply to Microsoft Office SharePoint Server 2007 as it is a superset of WSS. This Wrox Blox will be valuable for anyone wishing to share data on their SharePoint site.

Written by a member of the R Development Core Team, this resource provides important information on how to work with research data. It contains a collection of diverse, computer-related topics, connecting them through numerous, real-world case studies. The author describes open source technologies and open standards and devotes separate chapters to each computer language, including HTML, XML, SQL, and R. Explanatory diagrams aid in understanding important concepts, helping readers perform research tasks with ease. In addition, the author's website includes a suite of exercises as well as the code and data sets used in the case studies.

Get the end-to-end instruction you need to design, develop, and deploy more effective data integration, reporting, and analysis solutions using SQL Server 2008—whether you’re new to business intelligence (BI) programming or a seasoned pro. With real-world examples and insights from an expert team, you’ll master the concepts, tools, and techniques for building solutions that deliver intelligence—and business value—exactly where users want it. Discover how to: Manage the development life cycle and build a BI team Dig into SQL Server Analysis Services, Integration Services, and Reporting Services Navigate the Business Intelligence Development Studio (BIDS) Write queries that rank, sort, and drill down on sales data Develop extract, transform, and load (ETL) solutions Add a source code control system Help secure packages for deployment via encryption and credentials Use MDX and DMX Query Designers to build reports based on OLAP cubes and data mining models Create and implement custom objects using .NET code View reports in Microsoft Office Excel and Office SharePoint Serverook

This book fills a need for trainers, participants, and managers by providing a practical guide on how to get the most from a learning and development program. The book offers proven tools that help training participants get the most from the programs and includes the tools necessary to the transfer and application of critical new learning. The book explains how to create an environment that supports the participant's successful transition from program learning to producing valuable results. The tools and suggestions are a formula for success that will add value to virtually any learning and development initiative.

Using a range of examples, this introduction illustrates how R can be employed to tackle statistical problems. It covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis.

Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous design blueprint, user guide, and research agenda for current and future developments and will appeal to a broad audience; from developers and users of data mining and grid technology, to advanced undergraduate and postgraduate students interested in this field.

"... this book was written from start to finish by one extremely dedicated and erudite individual. The author has done an excellent job of covering the many topics that fall under the umbrella of computational biology for vaccine design, demonstrating an admirable command of subject matter in fields as disparate as object-oriented databases and regulation of T cell response. Simply put, it has just the right breadth and depth, and it reads well. In fact, readability is one of its virtues—making the book enticing and useful, all at once..." Human Vaccines, 2010 "... This book has several strong points. Although there are many textbooks that deal with vaccinology, few attempts have been made to bring together descriptions of vaccines in history, basic bioinformatics, various computational solutions and challenges in vaccinology, detailed experimental methodologies, and cutting-edge technologies... This book may well serve as a first line of reference for all biologists and computer scientists..." –Virology Journal, 2009 Vaccines have probably saved more lives and reduced suffering in a greater number of people than any other medical intervention in human history, succeeding in eradicating smallpox and significantly reducing the mortality and incidence of other diseases. However, with the emergence of diseases such as SARS and the threat of biological warfare, vaccination has once again become a topic of major interest in public health. Vaccinology now has at its disposal an array of post-genomic approaches of great power. None has a more persuasive potential impact than the application of computational informatics to vaccine discovery; the recent expansion in genome data and the parallel increase in cheap computing power have placed the bioinformatics exploration of pathogen genomes centre stage for vaccine researchers. This is the first book to address the area of bioinformatics as applied to rational vaccine design, discussing the ways in which bioinformatics can contribute to improved vaccine development by introducing the subject of harnessing the mathematical and computing power inherent in bioinformatics to the study of vaccinology putting it into a historical and societal context, and exploring the scope of its methods and applications. Bioinformatics for Vaccinology is a one-stop introduction to computational vaccinology. It will be of particular interest to bioinformaticians with an interest in immunology, as well as to immunologists, and other biologists who need to understand how advances in theoretical and computational immunobiology can transform their working practices.

THE DEFINITIVE, COMPREHENSIVE, OFFICIAL GUIDE TO XCELSIUS 2008 DASHBOARDS Using Xcelsius, you can create powerful, interactive dashboards, gather data from spreadsheets or databases, and deliver knowledge that can be instantly understood and acted upon. Now there’s a definitive, authoritative guide to making the most of Xcelsius 2008, the newest version of this breakthrough product. Loren Abdulezer, editor-in-chief of Xcelsius Journal, shares insider’s knowledge that goes far beyond any other book or online help resource. Abdulezer introduces Xcelsius 2008, reviews its core concepts, and demonstrates the wide range of dashboards it can create. After you know what’s possible, you’ll go deep inside Xcelsius, gaining hands-on experience with every feature you need to master. You’ll learn how to quickly represent any data with charting components; use dials, gauges, and speedometers; incorporate multiple layers in your dashboards and visualizations; use Xcelsius to perform more useful analyses and manage more interactively; work with maps, demographics, and segmented data; create “smart data” and alerts; and much more. Abdulezer offers tips and tricks you won’t find anywhere else. You’ll learn how to work with data that isn’t rock-solid--and even how to create your own custom components that go beyond Xcelsius’s built-in features. Whether you’re a business intelligence or database professional, power user, developer, or consultant, this book will help you create superior Xcelsius dashboards--and make better decisions. THE ONLY XCELSIUS 2008 DASHBOARDING BOOK YOU NEED Use Xcelsius 2008 to get better answers, identify emerging trends and opportunities, and manage more effectively Learn hands-on, through step-by-step examples using real business data Discover tips and tricks proven in real-world environments Deliver dashboard content in whatever format works best: as HTML pages, PowerPoint presentations, PDF files, or Word documents Fully leverage the information in your Excel spreadsheets--and go beyond Excel to use XML source data, too Implement Xcelsius best practices drawn from the hard-won knowledge of the entire global user community ON THE WEB Registered owners of the book can find all this and more online: All sample files used in the book Additional guides and tutorials to help you build dashboards Templates and example files for new dashboard interfaces Introduction 1 Part I Xcelsius 2008 Fundamentals 1 Motivation for Using Xcelsius 2008 11 2 Showcase of Xcelsius 2008 Dashboards 33 3 Getting Familiar with Xcelsius 2008 43 4 Embedded Spreadsheets: The Secret Sauce of Xcelsius 2008 69 5 Using Charts and Graphs to Represent Data 127 6 Single Value Components: Dials, Gauges, Speedometers, and the Like 157 Part II Xcelsius 2008 Best Practices and Techniques 7 Using Multi-Layer Visibility in Your Dashboards and Visualizations 181 8 Managing Interactivity 203 9 Xcelsius and Statistics 229 10 Financial Analysis 257 11 Maps in Xcelsius 275 12 Smart Data and Alerts 297 13 Working with Less-Than-Optimal Data 315 14 Other Dashboard Techniques and Practices 337 Part III Advanced Features 15 XML and Data Connectivity 353 16 Creating Custom Components for Fun and Profit 371 Part IV Appendices A Supported Spreadsheet Functions in Xcelsius 2008 401 B Xcelsius Product Family Comparison 415 C Xcelsius Best Practice Techniques and Hip Pocket Tips 425 Index 431

Need to learn MATHEMATICA? Problem SOLVED! Take full advantage of all the powerful capabilities of Mathematica with help from this hands-on guide. Filled with examples and step-by-step explanations, Mathematica Demystified takes you from your very first calculation all the way to plotting complex fractals. Using an intuitive format, this book explains the fundamentals of Mathematica up front. Learn how to define functions, create 2-D graphs of functions, write basic programs, and use modules. You'll move on to 3-D graphics, calculus, polynomial, linear, and differential equations, dynamical systems, and fractals. Hundreds of examples with concise explanations make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce learning. This self-teaching guide offers: A quick way to get up and running on Mathematica Coverage of Mathematica 6 and 7 Tips for avoiding and correcting syntax errors Details on creating slideshow presentations of your work No unnecessary technical jargon A time-saving approach to performing better on an exam or at work! Simple enough for a beginner, but challenging enough for an advanced user, Mathematica Demystified is your shortcut to mastering this fully integrated technical computing software.

Think you can't have fun learning statistics? Think again. The Manga Guide to Statistics will teach you everything you need to know about this essential discipline, while entertaining you at the same time. With its unique combination of Japanese-style comics called manga and serious educational content, the EduManga format is already a hit in Japan. In The Manga Guide to Statistics, our heroine Rui is determined to learn about statistics to impress the dreamy Mr. Igarashi and begs her father for a tutor. Soon she's spending her Saturdays with geeky, bespectacled Mr. Yamamoto, who patiently teaches her all about the fundamentals of statistics: topics like data categorization, averages, graphing, and standard deviation. After all her studying, Rui is confident in her knowledge of statistics, including complex concepts like probability, coefficients of correlation, hypothesis tests, and tests of independence. But is it enough to impress her dream guy? Or maybe there's someone better, right in front of her? Reluctant statistics students of all ages will enjoy learning along with Rui in this charming, easy-to-read guide, which uses real-world examples like teen magazine quizzes, bowling games, test scores, and ramen noodle prices. Examples, exercises, and answer keys help you follow along and check your work. An appendix showing how to perform statistics calculations in Microsoft Excel makes it easy to put Rui's lessons into practice. This EduManga book is a translation from a bestselling series in Japan, co-published with Ohmsha, Ltd. of Tokyo, Japan.

Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field.