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Author Myatt, Glenn J., 1969-

Uniform Title Making sense of data
Title Making sense of data I : a practical guide to exploratory data analysis and data mining / Glenn J. Myatt, Wayne P. Johnson. [O'Reilly electronic resource]

Edition Second edition.
Publication Info. Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]
QR Code
Description 1 online resource
data file
Note Revised editon of: Making sense of data. ©2007.
Bibliography Includes bibliographical references and index.
Summary "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."-- Portion of summary from book
Contents Titlepage; Copyright; PREFACE; 1 INTRODUCTION; 1.1 Overview; 1.2 Sources of Data; 1.3 Process for Making Sense of Data; 1.4 Overview of Book; 1.5 Summary; Further Reading; 2 DESCRIBING DATA; 2.1 Overview; 2.2 Observations and Variables; 2.3 Types of Variables; 2.4 Central Tendency; 2.5 Distribution of the Data; 2.6 Confidence Intervals; 2.7 Hypothesis Tests; Exercises; Further Reading; 3 PREPARING DATA TABLES; 3.1 Overview; 3.2 Cleaning the Data; 3.3 Removing Observations and Variables; 3.4 Generating Consistent Scales Across Variables; 3.5 New Frequency Distribution.
3.6 Converting Text to Numbers3.7 Converting Continuous Data to Categories; 3.8 Combining Variables; 3.9 Generating Groups; 3.10 Preparing Unstructured Data; Exercises; Further Reading; 4 UNDERSTANDING RELATIONSHIPS; 4.1 Overview; 4.2 Visualizing Relationships Between Variables; 4.3 Calculating Metrics About Relationships; Exercises; Further Reading; 5 IDENTIFYING AND UNDERSTANDING GROUPS; 5.1 Overview; 5.2 Clustering; 5.3 Association Rules; 5.4 Learning Decision Trees from Data; Exercises; Further Reading; 6 BUILDING MODELS FROM DATA; 6.1 Overview; 6.2 Linear Regression.
6.3 Logistic Regression6.4 K-Nearest Neighbors; 6.5 Classification and Regression Trees; 6.6 Other Approaches; Exercises; Further Reading; APPENDIX A ANSWERS TO EXERCISES; APPENDIX B HANDS-ON TUTORIALS; B.1 Tutorial Overview; B.2 Access and Installation; B.3 Software Overview; B.4 Reading in Data; B.5 Preparation Tools; B.6 Tables and Graph Tools; B.7 Statistics Tools; B.8 Grouping Tools; B.9 Models Tools; B.10 Apply Model; B.11 Exercises; BIBLIOGRAPHY; INDEX; END USER LICENSE AGREEMENT.
Subject Data mining.
Mathematical statistics.
Data Mining
Exploration de données (Informatique)
Data mining
Mathematical statistics
Added Author Johnson, Wayne P.
Other Form: Print version: Myatt, Glenn J., 1969- Making sense of data I. Second edition. Hoboken, New Jersey : John Wiley & Sons, Inc., [2014] 9781118407417 (DLC) 2014007303
ISBN 9781118422014 (electronic bk.)
1118422015 (electronic bk.)
9781118422106 (electronic bk.)
1118422104 (electronic bk.)
9781118422007 (electronic bk.)
1118422007 (electronic bk.)
(cloth)
Standard No. 9781118422106
10.1002/9781118422007 doi
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