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

• python3.6

• 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！》

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

• 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

• Python3.6

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

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