Author : Anthony Peter Macmillan Coxon
Publisher : SAGE
Page : 108 pages
File Size : 50,36 MB
Release : 1999-07-08
Category : Mathematics
ISBN : 9780803972377
How to collect, describe, compare and analyze data.
Author : Maria Langer
Publisher : Flying M Productions
Page : 120 pages
File Size : 17,23 MB
Release : 2012
Category : Computers
ISBN : 1886637059
Wildly popular as a spreadsheet application, Microsoft Excel includes a robust collection of data management features, making it an excellent tool for working with lists of data. The ability to sort this data remains one of Excel's strongest and most-used features. But exactly how do you use Excel's sorting features to organize data the way you need to? Ribbon and toolbar buttons, menu commands, dialog boxes, and hidden options-in Excel, sorting can be simple and complicated at the same time, often yielding surprising, undesired results. This guide takes the mystery and confusion out of Excel's sorting features. It starts by covering the basics of simple, one-column sorts. It then builds on that information to explain multi-column sorting, setting up and using custom sort orders, sorting based on cell colors or icons, performing case-sensitive sorts, and sorting by rows instead of columns. Step-by-step, fully illustrated instructions make it clear what you need to do. Sample files available on the Maria's Guides website make it easy to repeat exercises so you can see the same results. Although this book concentrates on Microsoft Excel 2010 for Windows and Microsoft Excel 2011 for Mac OS, it also provides useful tips and instructions for previous versions of Excel. Don't waste time trying to decipher cryptic instructions in Excel's onscreen help. Get the information you need, written in a way you can understand by an experienced author who has been using, teaching, and writing about Excel for more than 20 years.
Author : Michael Alexander
Publisher : Pearson Education
Page : 451 pages
File Size : 44,61 MB
Release : 2001-06-20
Category : Computers
ISBN : 0132714310
Become a savvy Microsoft Excel user. Pivot tables are a great feature in Excel that help you organize and analyze data, but not many Excel users know how to use pivot tables. Pivot Table Data Crunching offers a comprehensive review of all the functionalities of Pivot Tables from author Bill Jelen, otherwise known as Mr. Excel from www.mrexcel.com, and Michael Alexander, a Microsoft Certified Application Developer. The authors' practical scenarios and real-world advice demonstrate the benefits of Pivot Tables and how to avoid the common pitfalls of every day data crunching. Each solution presented in the book can be accomplished with resources available in the Excel interface, making Pivot Table Data Crunching a beneficial resource for all levels of Excel users.
Author : Victor Ferretti
Publisher : Springer Science & Business Media
Page : 1033 pages
File Size : 22,33 MB
Release : 2013-11-27
Category : Technology & Engineering
ISBN : 3642185738
Since the first edition was published, new technologies have emerged, especially in the area of convergence of computing and communications, accompanied by a lot of new technical terms. This third expanded and updated edition has been adaptetd to cope with this situation. The number of entries has been incremented by 35%. This dictionary offers a valuable guide to navigate through the entanglement of German and English terminology. The lexicographic concept (indication of the subject field for every term, short definitions, references to synonyms, antonyms, general and derivative terms) has been maintained, as well as the tabular layout.
Author : Sebastien Le
Publisher : CRC Press
Page : 372 pages
File Size : 48,65 MB
Release : 2014-10-09
Category : Mathematics
ISBN : 146656573X
Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative, and affective approaches, the book presents the big picture of sensory evaluation. Through an integrated approach that connects the different dimensions of sensory evaluation, you’ll understand: The reasons why sensory data are collected The ways in which the data are collected and analyzed The intrinsic meaning of the data The interpretation of the data analysis results Each chapter corresponds to one main sensory topic. The chapters start with presenting the nature of the sensory evaluation and its objectives, the sensory particularities related to the sensory evaluation, details about the data set obtained, and the statistical analyses required. Using real examples, the authors then illustrate step by step how the analyses are performed in R. The chapters conclude with variants and extensions of the methods that are related to the sensory task itself, the statistical methodology, or both.
Author : Robert Hoyt
Publisher : Lulu.com
Page : 260 pages
File Size : 21,72 MB
Release : 2019-11-24
Category : Science
ISBN : 179476173X
Overview of biomedical data science -- Spreadsheet tools and tips -- Biostatistics primer -- Data visualization -- Introduction to databases -- Big data -- Bioinformatics and precision medicine -- Programming languages for data analysis -- Machine learning -- Artificial intelligence -- Biomedical data science resources -- Appendix A: Glossary -- Appendix B: Using data.world -- Appendix C: Chapter exercises.
Author : Michael M. Gorman
Publisher : Butterworth-Heinemann
Page : 471 pages
File Size : 15,38 MB
Release : 2014-05-12
Category : Computers
ISBN : 1483278190
Database Management Systems: Understanding and Applying Database Technology focuses on the processes, methodologies, techniques, and approaches involved in database management systems (DBMSs). The book first takes a look at ANSI database standards and DBMS applications and components. Discussion focus on application components and DBMS components, implementing the dynamic relationship application, problems and benefits of dynamic relationship DBMSs, nature of a dynamic relationship application, ANSI/NDL, and DBMS standards. The manuscript then ponders on logical database, interrogation, and physical database. Topics include choosing the right interrogation language, procedure-oriented language, system control capabilities, DBMSs and language orientation, logical database components, and data definition language. The publication examines system control, including system control components, audit trails, reorganization, concurrent operations, multiple database processing, security and privacy, system control static and dynamic differences, and installation and maintenance. The text is a valuable source of information for computer engineers and researchers interested in exploring the applications of database technology.
Author : Paul Barry
Publisher : "O'Reilly Media, Inc."
Page : 494 pages
File Size : 50,85 MB
Release : 2010-11-15
Category : Computers
ISBN : 1449396690
Ever wished you could learn Python from a book? Head First Python is a complete learning experience for Python that helps you learn the language through a unique method that goes beyond syntax and how-to manuals, helping you understand how to be a great Python programmer. You'll quickly learn the language's fundamentals, then move onto persistence, exception handling, web development, SQLite, data wrangling, and Google App Engine. You'll also learn how to write mobile apps for Android, all thanks to the power that Python gives you. We think your time is too valuable to waste struggling with new concepts. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Python uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.
Author : Rahul Malewar
Publisher : Packt Publishing Ltd
Page : 420 pages
File Size : 37,4 MB
Release : 2017-08-10
Category : Computers
ISBN : 1788474104
Harness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutions About This Book Master PowerCenter 10.x components to create, execute, monitor, and schedule ETL processes with a practical approach. An ideal guide to building the necessary skills and competencies to become an expert Informatica PowerCenter developer. A comprehensive guide to fetching/transforming and loading huge volumes of data in a very effective way, with reduced resource consumption Who This Book Is For If you wish to deploy Informatica in enterprise environments and build a career in data warehousing, then this book is for you. Whether you are a software developer/analytic professional and are new to Informatica or an experienced user, you will learn all the features of Informatica 10.x. A basic knowledge of programming and data warehouse concepts is essential. What You Will Learn Install or upgrade the components of the Informatica PowerCenter tool Work on various aspects of administrative skills and on the various developer Informatica PowerCenter screens such as Designer, Workflow Manager, Workflow Monitor, and Repository Manager. Get practical hands-on experience of various sections of Informatica PowerCenter, such as navigator, toolbar, workspace, control panel, and so on Leverage basic and advanced utilities, such as the debugger, target load plan, and incremental aggregation to process data Implement data warehousing concepts such as schemas and SCDs using Informatica Migrate various components, such as sources and targets, to another region using the Designer and Repository Manager screens Enhance code performance using tips such as pushdown optimization and partitioning In Detail Informatica PowerCenter is an industry-leading ETL tool, known for its accelerated data extraction, transformation, and data management strategies. This book will be your quick guide to exploring Informatica PowerCenter's powerful features such as working on sources, targets, transformations, performance optimization, scheduling, deploying for processing, and managing your data at speed. First, you'll learn how to install and configure tools. You will learn to implement various data warehouse and ETL concepts, and use PowerCenter 10.x components to build mappings, tasks, workflows, and so on. You will come across features such as transformations, SCD, XML processing, partitioning, constraint-based loading, Incremental aggregation, and many more. Moreover, you'll also learn to deliver powerful visualizations for data profiling using the advanced monitoring dashboard functionality offered by the new version. Using data transformation technique, performance tuning, and the many new advanced features, this book will help you understand and process data for training or production purposes. The step-by-step approach and adoption of real-time scenarios will guide you through effectively accessing all core functionalities offered by Informatica PowerCenter version 10.x. Style and approach You'll get hand-on with sources, targets, transformations, performance optimization, scheduling, deploying for processing, and managing your data, and learn everything you need to become a proficient Informatica PowerCenter developer.
Author : Mahmoud Parsian
Publisher : "O'Reilly Media, Inc."
Page : 778 pages
File Size : 14,35 MB
Release : 2015-07-13
Category : Computers
ISBN : 1491906154
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark. Topics include: Market basket analysis for a large set of transactions Data mining algorithms (K-means, KNN, and Naive Bayes) Using huge genomic data to sequence DNA and RNA Naive Bayes theorem and Markov chains for data and market prediction Recommendation algorithms and pairwise document similarity Linear regression, Cox regression, and Pearson correlation Allelic frequency and mining DNA Social network analysis (recommendation systems, counting triangles, sentiment analysis)
