Access and clean up data easily using JMP(R)!

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