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Making sense of data I : a practical guide to exploratory data analysis and data mining by Glenn J. Myatt; Wayne P. Johnson is a mathematics available to read on EtoBox.

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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-read book for learning practical statistics and data analysis...” **—Computing Reviews.com** A proven go-to guide for data analysis, __Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition__ focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the __Second Edition__ also features:* Updated exercises for both manual and computer-aided implementation with accompa

Who reads Making sense of data I : a practical guide to exploratory data analysis and data mining?

Author

Glenn J. Myatt; Wayne P. Johnson

Publisher

Wiley & Sons, Incorporated, John

Published

2014

Language

EN

ISBN

9781118422007

Category

mathematics

Subjects

Mathematics, Computer Science, Stem

Rating

3.9 / 5 (7 ratings)

Updated

2026-03-14