具体描述
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
作者简介
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。
目录信息
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用户评价
推荐给学生们的R语言入门书
评分非常基础，用来让新手快速上手。
评分有些。。无趣
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
评分新手友好，业界良心，持续关注
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