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.
