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  • Format: ePub

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
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Produktbeschreibung
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


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Autorenporträt
Robert Carver is Professor of Business Administration at Stonehill College in Easton, Massachusetts, and Senior Lecturer at the International Business School at Brandeis University in Waltham, Massachusetts. At both institutions, he teaches courses on business analytics in addition to general management courses. He is the author of Practical Data Analysis with JMP ®, Second Edition,. His primary research interest is statistics education, and he is an Associate Editor for the Journal of Statistics Education. A JMP user since 2006, Carver holds an A.B. in political science from Amherst College in Amherst, Massachusetts, and an M.P.P. and Ph.D. in public policy from the University of Michigan at Ann Arbor.