Garrett Grolemund
RStudio的数据科学家和高级培训师,统计学家,R软件开发工程师,处理时间类数据的神器R包lubridate的开发者。Garrett在美国莱斯大学获得博士学位,曾在Google、eBay等公司教授R相关培训课程。
This guide is ideal if you're a professional, manager, or student who wants practical knowledge of analyzing data, without having to get a PhD in statistics. It's also good for people who have a PhD in statistics, but may not know how to write programs that apply statistical methods to real data. Discover how to apply the R language to data analysis through active learning and hands-on demonstration. You'll learn how to use R libraries that useful and reliable for data analysis, and how they can save you time and stress. Learn from a PhD-level statistician who develops and leads R courses Start analyzing data with R, rather than absorb academic statistics concepts Run more powerful analyses and make better-looking graphs Spend less time coding, with ggplot2, plyr, reshape2, and lubridate Learn how to make decisions during a data analysis
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给初级读者了解语法,项目是赌博机和打扑克,还挺有趣的,第六章环境、第八章S3和第十章Speed部分对于理解机制比较有帮助。 @2018-01-12 04:05:14
评分遇到复杂一点的问题就说 you will usually not have to attempt this type of large-scale programming as a data scientist ... 摔
评分RStudio 首席科学家哈德利·威科姆推荐。娓娓道来,新手友好,可快速过。
评分给初级读者了解语法,项目是赌博机和打扑克,还挺有趣的,第六章环境、第八章S3和第十章Speed部分对于理解机制比较有帮助。
评分快速扫一遍,内容太基础=,=
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