{"product_id":"making-sense-of-data-i-a-practical-guide-to-exploratory-data-analysis-and-data-mining-paperback-softback-9781118407417","title":"Making Sense of Data I; A Practical Guide to Exploratory Data Analysis and Data Mining (Paperback \/ softback) 9781118407417","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMaking Sense of Data I\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Practical Guide to Exploratory Data Analysis and Data Mining\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eGlenn J. Myatt (Author), Wayne P. Johnson (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781118407417, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 22 July 2014\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e256 pages\u003cbr\u003e22.9 x 15.2 x 1.3 cm, 0.345 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003ePraise for the\u003c\/b\u003e \u003cb\u003e\u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e“...a well-written book on data analysis and data mining that provides an excellent foundation...”\u003c\/p\u003e \u003cp\u003e\u003cb\u003e—CHOICE\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e“This is a must-read book for learning practical statistics and data analysis...”\u003c\/p\u003e \u003cp\u003e\u003cb\u003e—Computing Reviews.com\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003cbr\u003e \u003cbr\u003e \u003c\/b\u003eA proven go-to guide for data analysis, \u003ci\u003eMaking Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition\u003c\/i\u003e 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.\u003c\/p\u003e 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 \u003ci\u003eSecond Edition\u003c\/i\u003e also features:\u003cbr\u003e \u003cbr\u003e \u003cul\u003e \u003cli\u003eUpdated exercises for both manual and computer-aided implementation with accompanying worked examples\u003c\/li\u003e \u003cli\u003eNew appendices with coverage on the freely available Traceis™ software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance\u003c\/li\u003e \u003cli\u003eNew topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches\u003c\/li\u003e \u003cli\u003eAdditional real-world examples of data preparation to establish a practical background for making decisions from data\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e \u003ci\u003eMaking Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition\u003c\/i\u003e is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The \u003ci\u003eSecond Edition\u003c\/i\u003e is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Overview 1\u003c\/p\u003e \u003cp\u003e1.2 Sources of Data 2\u003c\/p\u003e \u003cp\u003e1.3 Process for Making Sense of Data 3\u003c\/p\u003e \u003cp\u003e1.4 Overview of Book 13\u003c\/p\u003e \u003cp\u003e1.5 Summary 16\u003c\/p\u003e \u003cp\u003eFurther Reading 16\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Describing Data 17\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Overview 17\u003c\/p\u003e \u003cp\u003e2.2 Observations and Variables 18\u003c\/p\u003e \u003cp\u003e2.3 Types of Variables 20\u003c\/p\u003e \u003cp\u003e2.4 Central Tendency 22\u003c\/p\u003e \u003cp\u003e2.5 Distribution of the Data 24\u003c\/p\u003e \u003cp\u003e2.6 Confidence Intervals 36\u003c\/p\u003e \u003cp\u003e2.7 Hypothesis Tests 40\u003c\/p\u003e \u003cp\u003eExercises 42\u003c\/p\u003e \u003cp\u003eFurther Reading 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Preparing Data Tables 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Overview 47\u003c\/p\u003e \u003cp\u003e3.2 Cleaning the Data 48\u003c\/p\u003e \u003cp\u003e3.3 Removing Observations and Variables 49\u003c\/p\u003e \u003cp\u003e3.4 Generating Consistent Scales Across Variables 49\u003c\/p\u003e \u003cp\u003e3.5 New Frequency Distribution 51\u003c\/p\u003e \u003cp\u003e3.6 Converting Text to Numbers 52\u003c\/p\u003e \u003cp\u003e3.7 Converting Continuous Data to Categories 53\u003c\/p\u003e \u003cp\u003e3.8 Combining Variables 54\u003c\/p\u003e \u003cp\u003e3.9 Generating Groups 54\u003c\/p\u003e \u003cp\u003e3.10 Preparing Unstructured Data 55\u003c\/p\u003e \u003cp\u003eExercises 57\u003c\/p\u003e \u003cp\u003eFurther Reading 57\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Understanding Relationships 59\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Overview 59\u003c\/p\u003e \u003cp\u003e4.2 Visualizing Relationships Between Variables 60\u003c\/p\u003e \u003cp\u003e4.3 Calculating Metrics About Relationships 69\u003c\/p\u003e \u003cp\u003eExercises 81\u003c\/p\u003e \u003cp\u003eFurther Reading 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Identifying and Understanding Groups 83\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Overview 83\u003c\/p\u003e \u003cp\u003e5.2 Clustering 88\u003c\/p\u003e \u003cp\u003e5.3 Association Rules 111\u003c\/p\u003e \u003cp\u003e5.4 Learning Decision Trees from Data 122\u003c\/p\u003e \u003cp\u003eExercises 137\u003c\/p\u003e \u003cp\u003eFurther Reading 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Building Models From Data 141\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Overview 141\u003c\/p\u003e \u003cp\u003e6.2 Linear Regression 149\u003c\/p\u003e \u003cp\u003e6.3 Logistic Regression 161\u003c\/p\u003e \u003cp\u003e6.4 k-Nearest Neighbors 167\u003c\/p\u003e \u003cp\u003e6.5 Classification and Regression Trees 172\u003c\/p\u003e \u003cp\u003e6.6 Other Approaches 178\u003c\/p\u003e \u003cp\u003eExercises 179\u003c\/p\u003e \u003cp\u003eFurther Reading 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A Answers to Exercises 185\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B Hands-on Tutorials 191\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eB. 1 Tutorial Overview 191\u003c\/p\u003e \u003cp\u003eB. 2 Access and Installation 191\u003c\/p\u003e \u003cp\u003eB. 3 Software Overview 192\u003c\/p\u003e \u003cp\u003eB. 4 Reading in Data 193\u003c\/p\u003e \u003cp\u003eB. 5 Preparation Tools 195\u003c\/p\u003e \u003cp\u003eB. 6 Tables and Graph Tools 199\u003c\/p\u003e \u003cp\u003eB. 7 Statistics Tools 202\u003c\/p\u003e \u003cp\u003eB. 8 Grouping Tools 204\u003c\/p\u003e \u003cp\u003eB. 9 Models Tools 207\u003c\/p\u003e \u003cp\u003eB. 10 Apply Model 211\u003c\/p\u003e \u003cp\u003eB. 11 Exercises 211\u003c\/p\u003e \u003cp\u003eBibliography 227\u003c\/p\u003e \u003cp\u003eIndex 231\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52173825179928,"sku":"9781118407417","price":56.79,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781118407417.jpg?v=1781173694","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/making-sense-of-data-i-a-practical-guide-to-exploratory-data-analysis-and-data-mining-paperback-softback-9781118407417","provider":"Freshly Printed Books","version":"1.0","type":"link"}