Questions about variables and relationships in the analysis of web game data

Source: Internet
Author: User
Keywords Web games variables questions analysis
Tags advertising advertising effect aliyun analysis application communication data data mining

"Http://www.aliyun.com/zixun/aggregation/8458.html" "" to optimize the promotion "to find out the causes and solutions for user churn" is the main function of data mining data analysis of web games, In this paper, the author puts forward several questions about personal thinking in the paper to discuss the problem of communication, hoping to use this to pay attention to the application of data analysis in the field of Web game operation. QQ61411209 msn:f95858@msn.cn
The optimization of the advertising effect of the Web game is the main problem to be solved in the operation, using the data analysis to provide the basis for seeking the optimal advertising strategy, using multifactor variance analysis, different advertising forms and the popularization effect of different media to carry out multifactor analysis. If you do not consider the case of artificial cheating, observation variables and control variables to choose how to do? What are the issues to be aware of in data acquisition and modeling?
Causes the user to lose many reasons, the webpage game life cycle is short and is uncertain to the client game, even if is the version promotion and the promotion price reduction and so on the measure, also cannot solve between the new old user game balance aspect, causes the registered user wastage ratio gradual growth trend. Although the "Uniform/New clothing" is the most commonly used means, but the core user (game Opinion leader) user's desire and other user behavior changes and game loss of the causal relationship between the situation analysis, involving data analysis which areas and practices need to pay attention to matters.
Most of the web game using props charging way, the design of virtual props to achieve cross sales is a frequent problem in data analysis, the choice of relevant variables is based on "business understanding", relatively simple principle of universality?
The data analysis is not simply a matter of theoretical discussion, from practice, to practice, and practical experience can be called "experience" unless it is solved. In the face of all kinds of recruitment information requirements of practical experience, please clearly put forward their own needs to solve the problem, otherwise just a cheat of the excuses and empty rhetoric.

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