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'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

© 2017 SAS Institute (eBook): 9781635261486

Data wydania

eBook: 3 maja 2017