Video Game Saleswww.kaggle.com/gregorut/videogamesales 石墨文档「vgsales」(点击链接后,如图所示下载数据源文件) 工具:Jupyter Notebook 在Kaggle的页面上可以看到每一列数据的释义: Rank - Ranking of overall sales Name - The games name Platform - Platform of the games release (i.e. PC,PS4, e...
Video Game Sales Analyze sales data from more than 16,500 games.www.kaggle.com/gregorut/videogamesales/data?select=vgsales.csv 【使用工具】 Excel、MYSQL、Power BI 【字段理解】 RANK-总销售额的排名 Name-游戏的名字 Platform-游戏发布平台(即PC,PS4等) Year-游戏发行的年份 Genre-游戏的类型 Pub...
aggfunc=np.sum).sum().sort_values(ascending=False)FGE=pd.DataFrame(data=FGE,columns={'Genre_sales'})FGE_near5=pd.pivot_table(df,index='Year',columns='Genre',values='Global_Sales',aggfunc=np.sum).iloc[-5:,:].sum().sort_values(ascending=False)FGE_near5=pd.DataFrame(data=FGE_near5,...
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From then on, he never looked back and had been exploring different areas in data science with the help of his seniors and using platforms like Kaggle and other platforms that host hackathons. He likes exploring various types of hackathons to experiment and acquire new skills. ...
https://www.kaggle.com/gregorut/videogamesaleswww.kaggle.com/gregorut/videogamesales 其中各字段含义如下: 四. 数据处理 导入相关库 importnumpyasnpimportpandasaspdimportmatplotlib.pyplotaspltimportseabornassnssns.set_style('dark')sns.despine()# 隐藏右边和上边的边框线df=pd.read_csv('vgsales.csv...
Aerin:记录Kaggle数据分析项目:Video Game Sales - Analyze sales data from more than 16,500 games4 赞同 · 0 评论文章 在数据处理的部分,可以选择用python处理,或者直接在Power BI里过滤NA值(适用于缺失值较少、且较明显可识别的情况)。 前期准备 ...
本次数据分析数据来源于kaggle的Video Game Sales电子游戏销售分析,包含销售日期到2016年10月26日为止的16,500个游戏。 https://www.kaggle.com/gregorut/videogamesaleswww.kaggle.com/gregorut/videogamesales 分析目的 通过销量和销售金额两个维度分析近几年来电子游戏行业在全球的发展概况,并形成可视化分析报告。
* 其他: 4 pages, Kaggle Competition, ECCV workshop* 题目: Object-Attentional Untargeted Adversarial Attack* PDF: arxiv.org/abs/2210.0847* 作者: Chao Zhou,Yuan-Gen Wang,Guopu Zhu* 题目: Character-Centric Story Visualization via Visual Planning and Token Alignment* PDF: arxiv.org/abs/2210.0846...