R语言入门及数据可视化经验分享
1.why
开源：手机系统，可以使用巨量开发的软件
无所不能的分析及可视化工具，一些可视化例子
冲积图
相关性
聚类图
曲线图
map
waterfall
- 丰富的功能：word、pdf、ppt、html、blog等
2.how
- Q1:怎么学的更快？
带着需求来学习，学以致用
- Q2:小白怎么入手？
安装、基础操作：教程，《R语言实战》相当于查询手册
- Q3:遇到问题怎么办？
先从教程（查询手册）中找答案，再去百度、谷歌（推荐），再交流、总结、分享
3.我的数据可以用哪些方法分析？-多元统计
逃不出多元统计分析，去看学习强国的多元统计分析课程。
3.1变量
自变量：多元相关cor、主成分分析OCA、因子分析CA
自变量与因变量：多元回归、线性模型（广义glm、一般（方差分析）、普通、线性混合效应模型lme）、冗余分析RDA
线性模型的示意图
3.2样本
- 聚类分析
3.3样本与变量
样本与自变量：对应分析（CA）
样本、自变量与因变量：约束性对应分析（CCA）
4.预测模型
随机森林、神经网络、支持向量机等，大量数据的训练，caret包
5.我想用主成分分析来分析数据，用哪些包？怎么用？
每种分析方法最好找对应的包，查询手册-网络教程-线上或线下寻求帮助
需要从实践、学习中不断总结，大家分享
好评包：dplyr、ggplot等
6.使用R出图，AI加工图
买家秀与卖家秀
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