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20G 绝地求生比赛数据集分析.ipynb
20G 绝地求生比赛数据集分析.ipynb
 
 
erangel.jpg
erangel.jpg
 
 
miramar.jpg
miramar.jpg
 
 
readme.md
readme.md
 
 

readme.md

20G 绝地求生比赛数据集分析

项目主要分析绝地求生72万场比赛的数据，并结合数据给出吃鸡攻略，用数据吃鸡！
主要的文件为：

  • 20G 绝地求生比赛数据集分析.ipynb：Jupyter Notebook格式，代码和说明都在这里
  • erangel.jpg：绝地海岛艾伦格地图
  • miramar.jpg：热情沙漠米拉玛地图

数据集说明：

  • 数据来自Kaggle
  • 数据主要分成两部分，一部分是玩家比赛的统计数据，在aggregate.zip，一部分是玩家被击杀的数据，在deaths.zip
  • 本次分析选取其中的两个数据集进行分析
  • 数据集下载链接:https://www.kaggle.com/skihikingkevin/pubg-match-deaths/data

运行环境：

  • python3.6

需要安装的包：

  • pandas、numpy、scipy
  • matplotlib、seaborn、boke

注：具体分析说明可以关注微信公众号：Alfred数据室，阅读对应文章《【20G】Kaggle数据集强势分析“绝地求生”，攻略吃鸡！》

PUBG matches data analysis

I analysed over 100 million PUBG matches data and shared some strategies learned from the analysis for playing the game. The main files are listed below:

  • 20G 绝地求生比赛数据集分析.ipynb：The codes and guides are wirrten in this jupyter nootbook file
  • erangel.jpg：map of erangel
  • miramar.jpg：map of miramar

Data Statement:

  • This data is downloaded from Kaggle.
  • The data is divided into two parts mainly. One is the statistic data of players in matches, the other is the data of players being killed.
  • I chose two datasets for this analysis.
  • Datasets download links: https://www.kaggle.com/skihikingkevin/pubg-match-deaths/data

Python environment

  • Python3.6

Packages need to be installed

  • pandas、numpy、scipy
  • matplotlib、seaborn、boke

Notice: you can find the detailed document by following Alfred's wechat official account: Alfred_Lab