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| pivot table in sas enterprise guide: The Little SAS Enterprise Guide Book Susan J. Slaughter, Lora D. Delwiche, 2017-03-22 Learning to use SAS Enterprise Guide has never been easier! Whether you are using SAS Enterprise Guide for the first time, or are looking to expand your skills, this is the book for you! With The Little SAS Enterprise Guide Book, award-winning authors Susan Slaughter and Lora Delwiche help you quickly become productive in the SAS Enterprise Guide point-and-click environment. A series of carefully designed tutorials help you master the basics of the tasks you'll want to do most frequently. The reference section of the book expands on the tutorial topics, covering specific features in more depth. This edition has been completely rewritten, and updated with new features in SAS Enterprise Guide. |
| pivot table in sas enterprise guide: SAS For Dummies Stephen McDaniel, Chris Hemedinger, 2011-04-18 Created in partnership with SAS, this book explores SAS, a business intelligence software that can be used in any business setting or enterprise for data delivery, reporting, data mining, forecasting, statistical analysis, and more SAS employee and technologist Stephen McDaniel combines real-world expertise and a friendly writing style to introduce readers to SAS basics Covers crucial topics such as getting various types of data into the software, producing reports, working with the data, basic SAS programming, macros, and working with SAS and databases |
| pivot table in sas enterprise guide: SAS For Dummies Stephen McDaniel, Chris Hemedinger, 2010-03-16 The fun and easy way to learn to use this leading business intelligence tool Written by an author team who is directly involved with SAS, this easy-to-follow guide is fully updated for the latest release of SAS and covers just what you need to put this popular software to work in your business. SAS allows any business or enterprise to improve data delivery, analysis, reporting, movement across a company, data mining, forecasting, statistical analysis, and more. SAS For Dummies, 2nd Edition gives you the necessary background on what SAS can do for you and explains how to use the Enterprise Guide. SAS provides statistical and data analysis tools to help you deal with all kinds of data: operational, financial, performance, and more Places special emphasis on Enterprise Guide and other analytical tools, covering all commonly used features Covers all commonly used features and shows you the practical applications you can put to work in your business Explores how to get various types of data into the software and how to work with databases Covers producing reports and Web reporting tools, analytics, macros, and working with your data In the easy-to-follow, no-nonsense For Dummies format, SAS For Dummies gives you the knowledge and the confidence to get SAS working for your organization. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. |
| pivot table in sas enterprise guide: Excel 2013: The Missing Manual Matthew MacDonald, 2013-04-18 The world’s most popular spreadsheet program is now more powerful than ever, but it’s also more complex. That’s where this Missing Manual comes in. With crystal-clear explanations and hands-on examples, Excel 2013: The Missing Manual shows you how to master Excel so you can easily track, analyze, and chart your data. You’ll be using new features like PowerPivot and Flash Fill in no time. The important stuff you need to know: Go from novice to ace. Learn how to analyze your data, from writing your first formula to charting your results. Illustrate trends. Discover the clearest way to present your data using Excel’s new Quick Analysis feature. Broaden your analysis. Use pivot tables, slicers, and timelines to examine your data from different perspectives. Import data. Pull data from a variety of sources, including website data feeds and corporate databases. Work from the Web. Launch and manage your workbooks on the road, using the new Excel Web App. Share your worksheets. Store Excel files on SkyDrive and collaborate with colleagues on Facebook, Twitter, and LinkedIn. Master the new data model. Use PowerPivot to work with millions of rows of data. Make calculations. Review financial data, use math and scientific formulas, and perform statistical analyses. |
| pivot table in sas enterprise guide: Python for Data Analysis Wes McKinney, 2017-09-25 Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples |
| pivot table in sas enterprise guide: Data Management with SAS , 2019-06-21 Data may be the most valuable resource that your organization owns. None of the promise of AI is possible without the ability to access, integrate, and transform data. SAS is intent on fundamentally changing the way our customers perform data management because changes in consumer expectations, and technology that drive them, continue to evolve at an incredible rate. SAS offers many different data management solutions to handle and protect your data. The papers included in this special collection demonstrates the latest tools and techniques that can benefit your data analysis. Also available free as a PDF from sas.com/books. |
| pivot table in sas enterprise guide: Making Data Visual Danyel Fisher, Miriah Meyer, 2017-12-20 You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden? If you're a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data. With this book, you'll learn: Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored; Visualization patterns, each of which take a different perspective on data and answer different questions; A taxonomy of visualizations for common data types; Techniques for gathering design requirements; When and where to make use of statistical methods.-- |
| pivot table in sas enterprise guide: Python Data Science Handbook Jake VanderPlas, 2016-11-21 For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms |
| pivot table in sas enterprise guide: The Memoirs of Lady Hyegyong JaHyun Kim Haboush, 2013-09-14 Lady Hyegyong's memoirs, which recount the chilling murder of her husband by his father, form one of the best known and most popular classics of Korean literature. From 1795 until 1805 Lady Hyegyong composed this masterpiece, depicting a court life Shakespearean in its pathos, drama, and grandeur. Presented in its social, cultural, and historical contexts, this first complete English translation opens a door into a world teeming with conflicting passions, political intrigue, and the daily preoccupations of a deeply intelligent and articulate woman. JaHyun Kim Haboush's accurate, fluid translation captures the intimate and expressive voice of this consummate storyteller. Reissued nearly twenty years after its initial publication with a new foreword by Dorothy Ko, The Memoirs of Lady Hyegyong is a unique exploration of Korean selfhood and an extraordinary example of autobiography in the premodern era. |
| pivot table in sas enterprise guide: Learning SAS by Example Ron Cody, 2018-07-03 Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter. |
| pivot table in sas enterprise guide: Business Analysis with QuickBooks Conrad Carlberg, 2011-01-31 Manage your business and make sound decisions with the help of QuickBooks Quickbooks is a user-friendly accounting software program that can analyze data to help you make smart decisions for a small- or medium-sized business. However, few books explain how to maximize the features of QuickBooks reports for management purposes-until now. Author Conrad Carlberg guides you through the most beneficial ways to use and adapt QuickBooks reports by taking the summary data and placing it into a context that helps manage a business. By avoiding aiming the coverage to a specific version of QuickBooks, this book is a timeless resource that clearly explains how to bring financial data together in order to help make wise business decisions. Use the popular accounting software program QuickBooks to help you make wise business management decisions Identify specific weak points in a business and learn how to turn them around Quantify working capital and manage inventory valuation properly Learn how to understand what QuickBook reports say about the state of your business now and for the future Quickly get started converting QuickBooks accounting data into results that help you make informed business decisions and manage your business. |
| pivot table in sas enterprise guide: Introduction to Information Retrieval Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, 2008-07-07 Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures. |
| pivot table in sas enterprise guide: Storage Network Performance Analysis Huseyin Simitci, 2003-05-09 Features vendor-neutral coverage applicable to any storage network Includes a special case-study section citing real-world applications and examples The first vendor-neutral volume to cover storage network performance tuning and optimization Exacting performance monitoring and analysis maximizes the efficiency and cost-effectiveness of existing storage networks Meets the needs of network administrators, storage engineers, and IT professionals faced with shrinking budgets and growing data storage demands |
| pivot table in sas enterprise guide: Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) Wayne Winston, 2021-12-17 Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook |
| pivot table in sas enterprise guide: InfoSphere DataStage Parallel Framework Standard Practices Julius Lerm, Paul Christensen, IBM Redbooks, 2013-02-12 In this IBM® Redbooks® publication, we present guidelines for the development of highly efficient and scalable information integration applications with InfoSphereTM DataStage® (DS) parallel jobs. InfoSphere DataStage is at the core of IBM Information Server, providing components that yield a high degree of freedom. For any particular problem there might be multiple solutions, which tend to be influenced by personal preferences, background, and previous experience. All too often, those solutions yield less than optimal, and non-scalable, implementations. This book includes a comprehensive detailed description of the components available, and descriptions on how to use them to obtain scalable and efficient solutions, for both batch and real-time scenarios. The advice provided in this document is the result of the combined proven experience from a number of expert practitioners in the field of high performance information integration, evolved over several years. This book is intended for IT architects, Information Management specialists, and Information Integration specialists responsible for delivering cost-effective IBM InfoSphere DataStage performance on all platforms. |
| pivot table in sas enterprise guide: Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition Brian Larson, 2016-11-04 Distribute Actionable, Timely BI with Microsoft® SQL Server® 2016 and Power BI Drive better, faster, more informed decision making across your organization using the expert tips and best practices featured in this hands-on guide. Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition, shows, step-by-step, how to distribute high-performance, custom analytics to users enterprise-wide. Discover how to build BI Semantic Models, create data marts and OLAP cubes, write MDX and DAX scripts, and share insights using Microsoft client tools. The book includes coverage of self-service business intelligence with Power BI. • Understand the goals and components of successful BI • Build data marts, OLAP cubes, and Tabular models • Load and cleanse data with SQL Server Integration Services • Manipulate and analyze data using MDX and DAX scripts and queries • Work with SQL Server Analysis Services and the BI Semantic Model • Author interactive reports using SQL Server Data Tools • Create KPIs and digital dashboards • Implement time-based analytics • Embed data model content in custom applications using ADOMD.NET • Use Power BI to gather, model, and visualize data in a self-service environment |
| pivot table in sas enterprise guide: Data Preparation for Data Mining Dorian Pyle, 1999-03-22 This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance. |
| pivot table in sas enterprise guide: CCNA Cyber Ops SECFND #210-250 Official Cert Guide Omar Santos, Joseph Muniz, Stefano De Crescenzo, 2017-04-04 This is the eBook version of the print title. Note that the eBook does not provide access to the practice test software that accompanies the print book. Learn, prepare, and practice for CCNA Cyber Ops SECFND 210-250 exam success with this Cert Guide from Pearson IT Certification, a leader in IT Certification learning. Master CCNA Cyber Ops SECFND 210-250 exam topics Assess your knowledge with chapter-ending quizzes Review key concepts with exam preparation tasks CCNA Cyber Ops SECFND 210-250 Official Cert Guide is a best-of-breed exam study guide. Cisco enterprise security experts Omar Santos, Joseph Muniz, and Stefano De Crescenzo share preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics. The book presents you with an organized test preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. Review questions help you assess your knowledge, and a final preparation chapter guides you through tools and resources to help you craft your final study plan. Well-regarded for its level of detail, assessment features, and challenging review questions and exercises, this study guide helps you master the concepts and techniques that will allow you to succeed on the exam the first time. The study guide helps you master all the topics on the CCNA Cyber Ops SECFND exam, including: Fundamentals of networking protocols and networking device types Network security devices and cloud services Security principles Access control models Security management concepts and techniques Fundamentals of cryptography and PKI Essentials of Virtual Private Networks (VPNs) Windows-based Analysis Linux /MAC OS X-based Analysis Endpoint security technologies Network and host telemetry Security monitoring operations and challenges Types of attacks and vulnerabilities Security evasion techniques |
| pivot table in sas enterprise guide: Integrating Excel and Access Michael Schmalz, 2005-11-01 In a corporate setting, the Microsoft Office Suite is an invaluable set of applications. One of Offices' biggest advantages is that its applications can work together to share information, produce reports, and so on. The problem is, there isn't much documentation on their cross-usage. Until now. Introducing Integrating Excel and Access, the unique reference that shows you how to combine the strengths of Microsoft Excel with those of Microsoft Access. In particular, the book explains how the powerful analysis tools of Excel can work in concert with the structured storage and more powerful querying of Access. The results that these two applications can produce together are virtually impossible to achieve with one program separately. But the book isn't just limited to Excel and Access. There's also a chapter on SQL Server, as well as one dedicated to integrating with other Microsoft Office applications. In no time, you'll discover how to: Utilize the built in features of Access and Excel to access data Use VBA within Access or Excel to access data Build connection strings using ADO and DAO Automate Excel reports including formatting, functions, and page setup Write complex functions and queries with VBA Write simple and advanced queries with the Access GUI Produce pivot tables and charts with your data With Integrating Excel and Access, you can crunch and visualize data like never before. It's the ideal guide for anyone who uses Microsoft Office to handle data. |
| pivot table in sas enterprise guide: Microsoft Manual of Style Microsoft Corporation, 2012-01-15 Maximize the impact and precision of your message! Now in its fourth edition, the Microsoft Manual of Style provides essential guidance to content creators, journalists, technical writers, editors, and everyone else who writes about computer technology. Direct from the Editorial Style Board at Microsoft—you get a comprehensive glossary of both general technology terms and those specific to Microsoft; clear, concise usage and style guidelines with helpful examples and alternatives; guidance on grammar, tone, and voice; and best practices for writing content for the web, optimizing for accessibility, and communicating to a worldwide audience. Fully updated and optimized for ease of use, the Microsoft Manual of Style is designed to help you communicate clearly, consistently, and accurately about technical topics—across a range of audiences and media. |
| pivot table in sas enterprise guide: Google Bigquery Valliappa Lakshmanan, Jordan Tigani, 2019 Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you'll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you're not familiar with or prefer to focus on specific tasks, this reference is indispensable. |
| pivot table in sas enterprise guide: Practical Statistics for Data Scientists Peter Bruce, Andrew Bruce, 2017-05-10 Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data |
| pivot table in sas enterprise guide: SAS Programming in the Pharmaceutical Industry Jack Shostak, SAS Institute, 2005 This real-world reference for clinical trial SAS programming is packed with solutions that can be applied day-to-day problems. Organized to reflect the statistical programmers workflow, this user-friendly text begins with an introduction to the working environment, then presents chapters on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. |
| pivot table in sas enterprise guide: Handbook of Statistical Analysis and Data Mining Applications Robert Nisbet, John Elder, Gary D. Miner, 2009-05-14 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 |
| pivot table in sas enterprise guide: Lean Analytics Alistair Croll, Benjamin Yoskovitz, 2024-02-23 Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products |
| pivot table in sas enterprise guide: Decision Trees for Business Intelligence and Data Mining Barry De Ville, 2006 This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements other business intelligence applications. |
| pivot table in sas enterprise guide: Excel Power Pivot & Power Query for Dummies Michael Alexander, 2016 |
| pivot table in sas enterprise guide: Sas 9 1 3 Management Console SAS Institute, SAS Publishing, 2006-03 SAS Management Console is a Java application that provides a single point of control for managing resources that are used throughout the Intelligence Value Chain. This updated guide presents introductory and basic information about using SAS Management Console, including information about the following: introduction to SAS Management Console and plug-ins; connecting to a metadata server; defining a SAS environment; installing a plug-in and the associated help; and managing metadata definitions for resources such as users, servers, libraries, SAS licenses, job schedules, and XMLMaps. Although SAS Management Console runs on your desktop computer, you can use it to manage resources in all operating environments that SAS supports. This title is also available online. This guide is for persons responsible for administering SAS or various components of SAS, such as SAS Integration Technologies or SAS ETL Studio, who require information about creating metadata definitions for servers, libraries, users, and other resources that can then be used by other SAS applications or components. |
| pivot table in sas enterprise guide: Delivering Business Intelligence with Microsoft SQL Server 2012 3/E Brian Larson, 2012-03-16 Implement a Robust BI Solution with Microsoft SQL Server 2012 Equip your organization for informed, timely decision making using the expert tips and best practices in this practical guide. Delivering Business Intelligence with Microsoft SQL Server 2012, Third Edition explains how to effectively develop, customize, and distribute meaningful information to users enterprise-wide. Learn how to build data marts and create BI Semantic Models, work with the MDX and DAX languages, and share insights using Microsoft client tools. Data mining and forecasting are also covered in this comprehensive resource. Understand the goals and components of successful BI Design, deploy, and manage data marts and OLAP cubes Load and cleanse data with SQL Server Integration Services Manipulate and analyze data using MDX and DAX scripts and queries Work with SQL Server Analysis Services and the BI Semantic Model Author interactive reports using SQL Server Data Tools Create KPIs and digital dashboards Use data mining to identify patterns, correlations, and clusters Implement time-based analytics Embed BI reports in custom applications using ADOMD.NET |
| pivot table in sas enterprise guide: SAS/IML 9. 3 User's Guide SAS Institute, 2011-07 Annotation Documents SAS/IML software, which provides a flexible programming language that enables novice or experienced programmers to perform data and matrix manipulation, statistical analysis, numerical analysis, and nonlinear optimization. SAS/IML software offers a rich, interactive programming language with an extensive library of subroutines and also enables you to create your own customized function modules. New features in SAS/IML 9.3 include the ability to submit SAS statements and to call functions in the R statistical language from within the IML procedure. Also new are a suite of functions and subroutines for data analysis. |
| pivot table in sas enterprise guide: SAS l'essentiel Olivier Decourt, 2011-06-15 Ce livre a été conçu pour maîtriser les usages les plus courants de SAS (Statistical Analysis System) que sont l'extraction de données, les requêtes, les jointures, les statistiques descriptives ou le paramétrage. Plus de 90% des informations contenues dans ce livre sont valables pour toutes les versions de SAS car elles se rapportent à des besoins que l'éditeur du logiciel a pris en compte depuis de nombreuses années. L'ouvrage comporte une introduction au code (en langage SAS, en requêtes SQL ou en langage macro) pour ceux qui veulent s'initier à ce type de programmation. |
| pivot table in sas enterprise guide: People, Processes and Managing Data Gerald W. McLaughlin, Association for Institutional Research, 2004-12 |
| pivot table in sas enterprise guide: Dimensional Modeling Chuck Ballard, 2005* |
| pivot table in sas enterprise guide: Computer-Assisted Reporting Brant Houston, 2014-11-21 This straightforward and effective how-to guide provides the basics for any journalist or student beginning to use data for news stories. It has step-by-step instructions on how to do basic data analysis in journalism while addressing why these digital tools should be an integral part of reporting in the 21st century. The book pays particular attention to the need for accuracy in computer-assisted reporting and to both the potential and pitfalls in utilizing large datasets in journalism. An ideal core text for courses on data-driven journalism or computer-assisted reporting, Houston pushes back on current trends by helping current and future journalists become more accountable for the accuracy and relevance of the data they acquire and share. Online instructor's materials are available to adopting professors, and additional exercises are available free online to students at the below address: http://ire.org/carbook/ username: carbook password: carbook4 |
| pivot table in sas enterprise guide: Webster's New International Dictionary of the English Language: Irr-Pur , 1950 |
| pivot table in sas enterprise guide: New International Dictionary of the English Language Noah Webster, 1950 |
| pivot table in sas enterprise guide: Bibliography of Agriculture with Subject Index , 1990 |
| pivot table in sas enterprise guide: Bibliography of Agriculture , 1990-07 |
| pivot table in sas enterprise guide: Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner Olivia Parr-Rud, 2014-10 This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. This beginnner's guide with clear, illustrated, step-by-step instructions will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence. -- |
| pivot table in sas enterprise guide: Data Tables and Pivot Tables Carl Nixon, 2017-01-25 The follow up to the best selling Learn How to Use Pivot Tables In an Hour!. If you are new to Excel Data and Pivot Tables they can seem daunting and scary. This easy to follow and fully illustrated guide by the internationally renowned Excel consultant, Carl Nixon, is designed to get you up to speed quickly and easily. You will be able to quickly and easily start producing your own Pivot Tables and Data Tables! We also cover Excels What If analysis tools and the Excel Goal Seeker. This easy to follow guide is split in to 2 sections and is fully illustrated. Accompanying spreadsheets are free to download from out website. Data Tables. Chapter 1 An Introduction to Data Tables Chapter 2 Creating a Data Table. Chapter 3 Sorting a Data Table. Chapter 4 Filtering a Data Table. Chapter 5 Summarising a Data Table . Chapter 6 Structured References. Chapter 7 What If Analysis with Data Tables. Chapter 8 Using the Goal Seeker. Chapter 9 Adding a Bit of Style. Pivot Tables. Chapter 10 An Introduction to Pivot Tables. Chapter 11 Creating a Pivot Table. Chapter 12 Grouping Pivot Table Items . Chapter 13 Same Pivot Table, Different Look. Chapter 14 Multi Level Pivot Tables. Chapter 15 Frequency Distribution in Pivot Tables. Chapter 16 Charting with Pivot Charts. Chapter 17 Slicing Pivot Tables with Slicers. Chapter 18 Updating Pivot Tables. Chapter 19 Calculated Fields and Items. |
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A Pivot Table is a tool in Microsoft Excel that allows you to quickly summarize huge datasets (with a few clicks). Even if you’re absolutely new to the world of Excel, you can easily use a Pivot …
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How to Use Advanced Pivot Table in Excel (25 Tips & Techniques)
Jul 28, 2024 · With advanced Pivot Table techniques, you can build sophisticated data models. This includes combining multiple data sources, using Power Query for data shaping and …
How to Create a Pivot Table in Excel: Step-by-Step (2024)
Aug 30, 2024 · Pivot Tables make one of the most powerful and resourceful tools of Excel. Using them, you can create a summary out of any kind of data (no matter how voluminous it is). You …
Pivot Interactives: Interactive Video-Based Science Activities
Pivot Interactives allows students to explore scientific phenomena first-hand so you can ignite their passion for science and your love for teaching. Trade exhausting web searches, failed lab …
Pivot Animator
Bring your figures to life by creating a sequence of animation frames. Share your animations by exporting them as animated Gifs or as videos to upload to YouTube. With practice and …
Home - Pivot Cycles
Where die-hard passion meets relentless innovation. Our carbon frames are what make a Pivot the best bike in the world. Whether you’re on the world’s highest competitive stages, or just …
PIVOT Definition & Meaning - Merriam-Webster
: a person, thing, or factor having a major or central role, function, or effect. specifically : an offensive position of a basketball player standing usually with back to the basket to relay …
Pivot Tables in Excel - Step by Step Tutorial - Excel Easy
Pivot tables are one of Excel's most powerful features. A pivot table allows you to extract the significance from a large, detailed data set. Our data set consists of 213 records and 6 fields. …
Creating a Pivot Table in Excel - Step by Step Tutorial - Trump …
A Pivot Table is a tool in Microsoft Excel that allows you to quickly summarize huge datasets (with a few clicks). Even if you’re absolutely new to the world of Excel, you can easily use a Pivot …
PIVOT | English meaning - Cambridge Dictionary
PIVOT definition: 1. a fixed point supporting something that turns or balances 2. the central or most important…. Learn more.
Five practical uses for pivot tables – Microsoft 365
Jul 15, 2024 · Pivot tables give you the ability to rearrange and summarize your data using columns and rows that help you easily identify trends and patterns. You can also use pivot …
How to Use Advanced Pivot Table in Excel (25 Tips & Techniques)
Jul 28, 2024 · With advanced Pivot Table techniques, you can build sophisticated data models. This includes combining multiple data sources, using Power Query for data shaping and …
How to Create a Pivot Table in Excel: Step-by-Step (2024)
Aug 30, 2024 · Pivot Tables make one of the most powerful and resourceful tools of Excel. Using them, you can create a summary out of any kind of data (no matter how voluminous it is). You …
