Coverart for item
The Resource Game Data Analysis - Tools and Methods, (electronic resource)

Game Data Analysis - Tools and Methods, (electronic resource)

Label
Game Data Analysis - Tools and Methods
Title
Game Data Analysis - Tools and Methods
Creator
Subject
Language
eng
Summary
This book features an introduction to the basic theoretical tenets of data analysis from a game developer's point of view, as well as a practical guide to performing gameplay analysis on a real-world game. This book is ideal for video game developers who want to try and experiment with the game analytics approach for their own productions. It will provide a good overview of the themes you need to pay attention to, and will pave the way for success. Furthermore, the book also provides a wide range of concrete examples that will be useful for any game data analysts or scientists who want to impro
http://library.link/vocab/creatorName
Thibault, Coupart
Dewey number
  • 006.3
  • 006.312
Index
no index present
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Video games
  • Data mining
Label
Game Data Analysis - Tools and Methods, (electronic resource)
Instantiates
Publication
Antecedent source
unknown
Color
multicolored
Contents
  • Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Context and Themes in Games; The rise of game analytics; Themes in games; The desire for reward; Ownership; Reputation; Achievement and collection; The desire for challenge; Complexity and difficulty; Competition between players; Desire for imagination; Discovery; Emotions and sensations; Immersion, story, and universe; Desire for entertainment; Distraction; Romping; From themes to engagement; Video game as a service; Free-to-play and engagement; References; Summary
  • Chapter 2: Common Key Performance Indicators of Game Data AnalysisDefinition and framework of Key Performance Indicators; Criteria; Structure; Acquisition of new players; Retention of players; Monetization of players; Working regularly with KPIs; Summary; Chapter 3: Environment and Tools for Data Analysis; Typical programming environment for data mining and storage; MySQL; NoSQL; Hadoop and Hive; Tools available on the market for quick data mining; Available free tools; Facebook Insights; Google Analytics; Commercial solutions; Kontagent; Honey Tracks; Flurry Analytics
  • Tools available for analysisOpen source tools; R-Project; Summary; Chapter 4: Game Analytics and Generation of Content; The A/B testing; The multivariate testing; Recommendations for good practices; Case study -- monetization pop up; Inventory of each feature; Concrete examples of versioning; First example; Second example; Summary; Chapter 5: Advanced Analysis and Statistical Methods; General statistical description; Central tendencies; Dispersion tendencies; Statistical distribution and laws; Correlation and regression between variables; Types of variables; Chi-squared test; Linear regression
  • Logistic regressionMachine learning; Definition; Supervised learning; Unsupervised learning; Summary; Chapter 6: Data Visualization; Recommendations for good practices; Basic recommendations; Typical data visualization tools; Line chart; Bar chart; Round chart; Heatmap; Graphic semiology; Typical traps of data visualization; The choice of the scale -- values on axis; The choice of the scale -- equivalence and units between variables; Summary; Chapter 7: Limits of Game Data Analysis; Which game analytics should be used; Game analytics as a tool; Game analytics must serve your team
  • When starting, focus your attention on simple practicesWhat game analytics should be not used for; Keep away from numbers; Practices that need to be avoided; Summary; Index
Control code
ocn864382495
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781849697910
Level of compression
unknown
Note
eBooks on EBSCOhost
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)864382495
Label
Game Data Analysis - Tools and Methods, (electronic resource)
Publication
Antecedent source
unknown
Color
multicolored
Contents
  • Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Context and Themes in Games; The rise of game analytics; Themes in games; The desire for reward; Ownership; Reputation; Achievement and collection; The desire for challenge; Complexity and difficulty; Competition between players; Desire for imagination; Discovery; Emotions and sensations; Immersion, story, and universe; Desire for entertainment; Distraction; Romping; From themes to engagement; Video game as a service; Free-to-play and engagement; References; Summary
  • Chapter 2: Common Key Performance Indicators of Game Data AnalysisDefinition and framework of Key Performance Indicators; Criteria; Structure; Acquisition of new players; Retention of players; Monetization of players; Working regularly with KPIs; Summary; Chapter 3: Environment and Tools for Data Analysis; Typical programming environment for data mining and storage; MySQL; NoSQL; Hadoop and Hive; Tools available on the market for quick data mining; Available free tools; Facebook Insights; Google Analytics; Commercial solutions; Kontagent; Honey Tracks; Flurry Analytics
  • Tools available for analysisOpen source tools; R-Project; Summary; Chapter 4: Game Analytics and Generation of Content; The A/B testing; The multivariate testing; Recommendations for good practices; Case study -- monetization pop up; Inventory of each feature; Concrete examples of versioning; First example; Second example; Summary; Chapter 5: Advanced Analysis and Statistical Methods; General statistical description; Central tendencies; Dispersion tendencies; Statistical distribution and laws; Correlation and regression between variables; Types of variables; Chi-squared test; Linear regression
  • Logistic regressionMachine learning; Definition; Supervised learning; Unsupervised learning; Summary; Chapter 6: Data Visualization; Recommendations for good practices; Basic recommendations; Typical data visualization tools; Line chart; Bar chart; Round chart; Heatmap; Graphic semiology; Typical traps of data visualization; The choice of the scale -- values on axis; The choice of the scale -- equivalence and units between variables; Summary; Chapter 7: Limits of Game Data Analysis; Which game analytics should be used; Game analytics as a tool; Game analytics must serve your team
  • When starting, focus your attention on simple practicesWhat game analytics should be not used for; Keep away from numbers; Practices that need to be avoided; Summary; Index
Control code
ocn864382495
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781849697910
Level of compression
unknown
Note
eBooks on EBSCOhost
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)864382495

Library Locations

    • InternetBorrow it
      Albany, Auckland, 0632, NZ
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