Applied User Data Collection and Analysis Using JavaScript and PHP

336 Pages·2021·10.59 MB·english

by  KYLE. HOFMANN GOSLIN (MARKUS.)

Applied User Data
Collection and
Analysis Using
JavaScript and PHP

Applied User Data
Collection and
Analysis Using
JavaScript and PHP
Kyle Goslin
Markus Hofmann
First edition published 2021
by CRC Press
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and by CRC Press
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© 2021 Taylor & Francis Group, LLC
CRC Press is an imprint of Taylor & Francis Group, LLC
The right of Kyle Goslin and Markus Hofmann to be identified as authors of this work has been as-
serted by them in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988.
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used only for identification and explanation without intent to infringe.
ISBN: 978-0-367-75682-6 (hbk)
ISBN: 978-0-367-75680-2 (pbk)
ISBN: 978-1-003-16354-1 (ebk)
Typeset in Computer Modern font
by KnowledgeWorks Global Ltd.
For Amanda and Noah.
For when distraction was needed, and for when it was
not. — Kyle
In memory of Johann Trautwein, who, as an early
adopter of computing, not only paved my path to the
world of informatics but also instilled many other
values I cherish. A true gentleman - missed but never
forgotten by all who knew him. — Markus

Contents
Preface xi
Authors xiii
Acknowledgments xv
List of Figures xvii
List of Tables xxiii
Chapter 1(cid:4) Introduction 1
1.1 INTRODUCTION 1
1.2 WHOTHISBOOKISAIMEDAT 2
1.3 TECHNOLOGIESUSED 2
1.4 VARIATIONSOFDATA 3
1.4.1 Active Data 4
1.4.2 Passive Data 4
1.5 WHATYOUNEED 5
1.6 DEVELOPMENTENVIRONMENT 6
1.7 CODEEXAMPLES 8
1.8 BOOKOUTLINE 9
1.9 SUMMARY 10
vii
viii (cid:4) Contents
Chapter 2(cid:4) Active Data Collection 11
2.1 INTRODUCTION 11
2.2 BINARYDATACOLLECTION 11
2.3 TEXT-BASEDDATACOLLECTION 16
2.4 STARRATINGS 21
2.5 CUSTOMRESPONSEFORM 29
2.6 SUMMARY 38
Chapter 3(cid:4) Passive Data Collection 39
3.1 INTRODUCTION 39
3.2 COOKIESANDSESSIONS 40
3.3 READINGFROMFILES 49
3.4 USERIPADDRESS 58
3.5 FINDINGTHEUSERAGENT 64
3.6 USERGEOGRAPHICLOCATION 67
3.7 TIMESPENTONPAGES 71
3.8 TRACKINGINDIVIDUALDIVTAGS 73
3.9 LOGGINGTIMES 75
3.10 WHEREAUSERCAMEFROM 80
3.11 SOCIALMEDIACONTENTHARVESTING 81
3.12 SUMMARY 86
Chapter 4(cid:4) Custom Dashboards 87
4.1 INTRODUCTION 87
4.2 USERLOGIN 88
4.3 USERREGISTRATION 95
4.4 MULTI-COLUMNBARCHART 104
4.5 BINARYBARCHART 110
4.6 DYNAMICDASHBOARD 115
4.7 SUMMARY 150
Contents (cid:4) ix
Chapter 5(cid:4) Working with Text 151
5.1 INTRODUCTION 151
5.2 NATURAL-LANGUAGEPROCESSING 151
5.3 STOPWORDS 152
5.4 RED-FLAGMONITORING 158
5.5 N-GRAMS 167
5.6 SENTENCECOMPLETION 170
5.7 WORDSTEMMING 173
5.8 SYNONYMS 174
5.9 TERMWEIGHTING 178
5.10 SENTIMENTANALYSIS 184
5.11 SUMMARY 188
Chapter 6(cid:4) Text Visualization 189
6.1 INTRODUCTION 189
6.2 WORDCLOUD 189
6.3 COLLAPSIBLETREELAYOUT 195
6.4 TERMSOFINTERESTNODEGRAPH 200
6.5 TIME-SERIES ANALYSIS WITH POSITIVE AND NEGA-
TIVEREVIEWCHART 211
6.6 SUMMARY 219
Chapter 7(cid:4) Time-Based Feedback Analysis 221
7.1 INTRODUCTION 221
7.2 GATHERINGTIMELINESANDDATABASEDATATYPES 221
7.3 TIME-SEGMENTANALYSISANDVISUALIZATION 223
7.4 REAL-TIMEFEEDBACKANALYSIS 237
7.5 POSITIVEVS.NEGATIVEFEEDBACKCALENDARS 244
7.6 FEEDBACKHEATMAP 252
7.7 SUMMARY 265