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    Default Preparing Data for Analysis with JMP

    Preparing Data for Analysis with JMP

    SAS Institute | English | 2017 | ISBN-10: 1629604186 | 216 Pages | PDF | 6.36 MB

    by Robert Carver (Author)

    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 JMPis 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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