Making Sense of Data Set

Making Sense of Data Set
Author: Glenn J. Myatt
Publisher: Wiley
Total Pages: 0
Release: 2012-03-17
Genre: Mathematics
ISBN: 9781118395141


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Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining by Glenn J. Myatt (978-0-470-07471-8), Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications by Glenn J. Myatt and Wayne P. Johnson (978-0-470-22280-5), and Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations by Glenn J. Myatt and Wayne P. Johnson (978-0-470-53649-0)


Making Sense of Data
Language: en
Pages: 294
Authors: Glenn J. Myatt
Categories: Mathematics
Type: BOOK - Published: 2007-02-26 - Publisher: John Wiley & Sons

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A practical, step-by-step approach to making sense out of data Making Sense of Data educates readers on the steps and issues that need to be considered in order
Making Sense of Data Set
Language: en
Pages: 0
Authors: Glenn J. Myatt
Categories: Mathematics
Type: BOOK - Published: 2012-03-17 - Publisher: Wiley

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Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining by Glenn J. Myatt (978-0-470-07471-8), Making Sense of Data II: A Practical
Making Sense of Data I
Language: en
Pages: 262
Authors: Glenn J. Myatt
Categories: Mathematics
Type: BOOK - Published: 2014-08-11 - Publisher: John Wiley & Sons

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Praise for the First Edition “...a well-written book on data analysis and data mining that provides an excellent foundation...” —CHOICE “This is a must-
Making Sense of Data II
Language: en
Pages: 325
Authors: Glenn J. Myatt
Categories: Mathematics
Type: BOOK - Published: 2009-02-03 - Publisher: John Wiley & Sons

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A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques This second installment in the Making Sense of Data se
Visual Insights
Language: en
Pages: 310
Authors: Katy Borner
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2014-01-24 - Publisher: MIT Press

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A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful