Preparing Data for Analysis with JMP (eBook)

Robert Carver (Autor)

eBook Download: EPUB

2017
216 Seiten
Sas Institute (Verlag)
978-1-63526-148-6 (ISBN)

Infos

An introduction on how to use JMP to manage data for analysis. The book is organized within a framework of statistical investigations and model-building (where data acquisition and prep commonly eat up something like 75% of the effort and time) and in doing so illustrates the new data handling features in JMP, such as Query Builder.

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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 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

Produkt-Details

• Erscheint lt. Verlag: 1.5.2017
• Verlagsort: Cary
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
• Schlagworte: analytics, data cleaning, data management, data wrangling, missing data
• ISBN-10: 1-63526-148-1 / 1635261481
• ISBN-13: 978-1-63526-148-6 / 9781635261486