If you want to know more information about the data

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PlayerUnknown's Battlegrounds (PlayerUnknown's Battlegrounds, abbreviated as PUBG) is a global game with a huge amount of data. Game researchers provide valuable reference.

The main source of Si Di Qi Survival data
Player behavior data: including hit number, death number, game time, common weapon, common carrier, jump umbrella point selection, etc.
Game data: including battle records, acquisition of assets, destruction of buildings, etc.
Player feedback data: including players' evaluation of the game, suggestions, BUG reports, etc.
Event data: including professional player data, battle team data, event audience number, etc.
Survival data application scenarios
Game balance adjustment: By analyzing weapon damage, vehicle performance, etc. data Whatsapp Number adjust the game balance, and ensure the fairness of the game experience.
New content development: According to player behavior data, development of new maps, weapons, modes, to meet the needs of players.
Reactionary movies: Through analysis of player behavior data, identify and combat, maintain game fairness.
TV video company: Analyze event data, optimize event rules, improve event reproducibility.
Player image analysis: According to player data, divide player groups, and carry out precise marketing.
The value of data analysis
Improve game experience: Through data analysis, optimize game settings, improve player's game experience.
Find game problems: Through data analysis, find game problems, fix them in time.
Mining commercial value: Through data analysis, discover new business opportunities, improve game revenue.
Promote the development of electric racing: Through the analysis of event data , promote the development of electric racing industry.
PUBG data visualization example
The above shows a simple example of data visualization, showing the distribution of different players' hits and kills in the form of a chart. A movie about survival and safety design Data privacy protection : How to protect player privacy while using data is an important question. Data quality: The accuracy and completeness of the data directly affect the reliability of the analysis results. Data security: How to protect data security, preventing data leakage is also an important problem . The complexity of the data analysis model: Survival is a complex game, and its data analysis model also needs constant optimization. summary










The collected data has enormous value and provides rich research material for game developers, e-sports event organizers, and game researchers. Through deep mining and analysis of data, you can better understand player behavior and optimize game design. , improve the game experience.

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