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Game Data Analysis : Tools and Methods.

Author: Coupart Thibault
Publisher: Birmingham : Packt Publishing, 2013.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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,  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Coupart Thibault
ISBN: 9781849697910 1849697914 1306157749 9781306157742
OCLC Number: 864382495
Description: 1 online resource
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.

Abstract:

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.

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