Discuz! Board

 找回密碼
 立即註冊
搜索
熱搜: 活動 交友 discuz
查看: 3|回復: 0

With the continuous development of big data technology

[複製鏈接]

1

主題

1

帖子

5

積分

新手上路

Rank: 1

積分
5
發表於 12:03:00 | 顯示全部樓層 |閱讀模式
As one of the world's biggest game its huge player base and rich game data, provides us with the best opportunity to get an in-depth understanding of the game. ’s data world.

game data
The types of data generated byare rich and varied, and can roughly be divided into the following several dimensions:

Player data: including player rank, KDA victory rate, game time, weapons, weapons, etc.
Battle data: Including strike force, strike force, damage output, survival time, strike distance, etc.
Map data: including each map’s popular jumping points, refresh points, circle variation rules, etc.
Weapon data: Includes various types of weapon damage, shooting speed, projectile, accessories, etc.
Vehicle data: including each type of vehicle speed, vehicle weight, durability, etc.
data visualization
In order to better understand these data, game developers and data analysts often use various visualization tools, such as:

Diagram: The relationship between the data is displayed by means of line diagram, column diagram, cake diagram, etc.
Display the player’s activity heat, refresh frequency, etc. in the map.

Data visualization platform: Use professional visualization tools to transform Whatsapp Number complex data into easy-to-understand charts and graphs.

data application
Game balance adjustment: By analyzing player data and combat data, developers can adjust weapon damage, map balance, etc., to ensure game fairness.
Player profile analysis: By analyzing player data, you can understand the game habits and biases of different types of players, and provide a basis for decision-making for game operation.
Competition analysis: Data analysis of competitors can help coaches and competitors better understand their strengths and weaknesses, and establish a more scientific training plan.
Community operation: Through data analysis, you can understand the activity level of community players, feedback, etc., and provide data support for community operation.
data value
generated ocean volume data has great value, can help us:




Learn more about the game: Discover the rules and characteristics of the game.
Improved game experience: Provide players with a more personalized game experience.
Promote the development of electric racing industry: Provide data support for electric racing events.
Facilitating game industry development:For game development, reference is provided and borrowed.
Future vision
, game data analysis will also become more in-depth and refined. We can expect that future games will be more intelligent and personalized, bringing better game experience to players.


To learn more about the content of data analysis, you can pay attention to the following aspects:

PUBG official data: PUBG official company regularly releases some game data reports.
Third-party data analysis platform: Some third-party platforms will conduct in-depth analysis of PUBG data.

回復

使用道具 舉報

您需要登錄後才可以回帖 登錄 | 立即註冊

本版積分規則

Archiver|手機版|自動贊助|z

GMT+8, 09:33 , Processed in 0.030725 second(s), 18 queries .

抗攻擊 by GameHost X3.4

Copyright © 2001-2021, Tencent Cloud.

快速回復 返回頂部 返回列表
一粒米 | 中興米 | 論壇美工 | 設計 抗ddos | 天堂私服 | ddos | ddos | 防ddos | 防禦ddos | 防ddos主機 | 天堂美工 | 設計 防ddos主機 | 抗ddos主機 | 抗ddos | 抗ddos主機 | 抗攻擊論壇 | 天堂自動贊助 | 免費論壇 | 天堂私服 | 天堂123 | 台南清潔 | 天堂 | 天堂私服 | 免費論壇申請 | 抗ddos | 虛擬主機 | 實體主機 | vps | 網域註冊 | 抗攻擊遊戲主機 | ddos |