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Preparing data for analysis with JMP /

Access and clean up data easily using JMP®! Data acquisition and preparation commonly consume approximately 75% of the effort and time of total data analysis. JMP provides many visual, intuitive, and even innovative data-preparation capabilities that enable you to make the most of your organization&...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Carver, Robert H. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, [2017]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Preparing data for analysis with JMP /  |c Robert Carver. 
264 1 |a Cary, NC :  |b SAS Institute,  |c [2017] 
264 4 |c ©2017 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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588 0 |a Online resource; title from title page (Safari, viewed May 25, 2017). 
504 |a Includes bibliographical references and index. 
505 0 |a Data management in the analytics process -- Data management foundations -- Sources of data and their challenges -- Single files -- Database queries -- Importing data from websites -- Reshaping a data table -- Joining, subsetting, and filtering -- Data exploration: visual and automated tools to detect problems -- Missing data strategies -- Data preparation for analysis -- Exporting work to other platforms. 
520 |a Access and clean up data easily using JMP®! Data acquisition and preparation commonly consume approximately 75% of the effort and time of total data analysis. JMP provides many visual, intuitive, and even innovative data-preparation capabilities that enable you to make the most of your organization's data. Preparing Data for Analysis with JMP® is organized within a framework of statistical investigations and model-building and illustrates the new data-handling features in JMP, such as the Query Builder. Useful to students and programmers with little or no JMP experience, or those looking to learn the new data-management features and techniques, it uses a practical approach to getting started with plenty of examples. Using step-by-step demonstrations and screenshots, this book walks you through the most commonly used data-management techniques that also include lots of tips on how to avoid common problems. With this book, you will learn how to: Manage database operations using the JMP Query Builder Get data into JMP from other formats, such as Excel, csv, SAS, HTML, JSON, and the web Identify and avoid problems with the help of JMP's visual and automated data-exploration tools Consolidate data from multiple sources with Query Builder for tables Deal with common issues and repairs that include the following tasks: reshaping tables (stack/unstack) managing missing data with techniques such as imputation and Principal Components Analysis cleaning and correcting dirty data computing new variables transforming variables for modelling reconciling time and date Subset and filter your data Save data tables for exchange with other platforms. 
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650 0 |a Mathematical statistics  |x Data processing. 
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650 7 |a Statistics  |x Graphic methods  |2 fast 
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