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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 screens, 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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