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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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Cary, NC
SAS Institute
[2017]
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| 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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| language | English |
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| physical | 1 online resource (1 volume) illustrations |
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| publisher | SAS Institute |
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| spelling | Carver, Robert H. VerfasserIn aut Preparing data for analysis with JMP Robert Carver Cary, NC SAS Institute [2017] ©2017 1 online resource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from title page (Safari, viewed May 25, 2017) 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. JMP (Computer file) Statistics Graphic methods Mathematical statistics Data processing Statistique ; Méthodes graphiques Statistique mathématique ; Informatique REFERENCE ; Questions & Answers Mathematical statistics ; Data processing Statistics ; Graphic methods TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781635261486/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Carver, Robert H. Preparing data for analysis with JMP JMP (Computer file) Statistics Graphic methods Mathematical statistics Data processing Statistique ; Méthodes graphiques Statistique mathématique ; Informatique REFERENCE ; Questions & Answers Mathematical statistics ; Data processing Statistics ; Graphic methods |
| title | Preparing data for analysis with JMP |
| title_auth | Preparing data for analysis with JMP |
| title_exact_search | Preparing data for analysis with JMP |
| title_full | Preparing data for analysis with JMP Robert Carver |
| title_fullStr | Preparing data for analysis with JMP Robert Carver |
| title_full_unstemmed | Preparing data for analysis with JMP Robert Carver |
| title_short | Preparing data for analysis with JMP |
| title_sort | preparing data for analysis with jmp |
| topic | JMP (Computer file) Statistics Graphic methods Mathematical statistics Data processing Statistique ; Méthodes graphiques Statistique mathématique ; Informatique REFERENCE ; Questions & Answers Mathematical statistics ; Data processing Statistics ; Graphic methods |
| topic_facet | JMP (Computer file) Statistics Graphic methods Mathematical statistics Data processing Statistique ; Méthodes graphiques Statistique mathématique ; Informatique REFERENCE ; Questions & Answers Mathematical statistics ; Data processing Statistics ; Graphic methods |
| url | https://learning.oreilly.com/library/view/-/9781635261486/?ar |
| work_keys_str_mv | AT carverroberth preparingdataforanalysiswithjmp |