Game Data Analysis Tools and Methods.: Tools and Methods. (2013)

• Record Type: Book
• Other Names: Thibault, Coupart
• 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.
• Publisher Details: Birmingham : Packt Publishing
• Publication Date: 2013
• Extent: 1 online resource
• Subjects: 006.3 006.312; COMPUTERS -- Programming -- Games; Video games; Data mining; Video games; Data mining; COMPUTERS -- General; Data mining; Video games; Video games; Data mining; COMPUTERS -- Web -- Social Networking; Electronic books
• Languages: English
• ISBNs: 9781849697910; 1849697914; 1306157749; 9781306157742
• Related ISBNs: 1849697906; 9781849697903
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.