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dev #22

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merged 14 commits into from
Dec 10, 2023
52 changes: 52 additions & 0 deletions markdown/Review of the course “R for Data Science”.md
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# Review of the course “R for Data Science”

<center>
<img src="https://img.shields.io/github/stars/lucas04-nhr/Review-of-R.svg" alt="GitHub stars" href="https://github.com//lucas04-nhr/Review-of-R/stargazers"/>
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</center>

<font size = 1>**By Haoran Nie @ HUST Life ST**</font>

> Reference: [R for Data Science](https://r4ds.had.co.nz)
>
> The book updated to 2^nd^ ed. on July,2023, here’ s a [link](https://r4ds.hadley.nz) to the official website.

<p xmlns:cc="http://creativecommons.org/ns#" >This work is licensed under <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY-NC-SA 4.0<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/nc.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/sa.svg?ref=chooser-v1"></a></p>

This is the original TOC, you can find partially-translated Chinese TOC [here](./cnindex.html).

To reduce the size of each document, I've split the entire review into three documents, and this page is a table of contents for all of them.

**Note: **The purpose of this material **not only **to deal with the "R for Data Science" course final exam, or in the subsequent learning process need to use the R language to deal with data and draw images of one of the effective reference materials, so generate a lot of versions of many formats of the file, to facilitate the user to different conditions on different devices to view more easily. Therefore, many versions and formats of files have been generated to make it easier for users to view them under *different conditions* and on *different devices*. If you think this project is helpful to your R language learning and usage, welcome to click on **"Star"** and **follow** me, also welcome anyone to submit bug reports through "issue" and participate in cooperation through **"Pull Request"**.

We would like to express our sincere gratitude to the users who participated in the co-construction or provided constructive suggestions (in the order of the time they made the suggestions or participated in the co-construction):

- [Rui Zhu](https://github.com/1508324011)
- [Tianhao Wang](https://github.com/lwstkhyl)

This page has direct link to the web version and source markdown files. However, I also create PDF files using *Typora* and $\LaTeX$ (compiling by $\mathrm{Lua}\LaTeX$ in $\mathrm{TinyTeX}$), you can find it in these folders:

- [PDF files created by *Typora*](https://github.com/Lucas04-nhr/Review-of-R/tree/main/PDF/EN)
- [PDF files created by $\LaTeX$ and the TeX source code](https://github.com/Lucas04-nhr/Review-of-R/tree/main/LaTeX/EN)

# Part 01 (Talk 01 ~ 04)

- [Direct web link](./REVIEW_01.html)
- [Source Markdown document](https://github.com/Lucas04-nhr/Review-of-R/blob/main/markdown/REVIEW_01.md)

# Part 02 (Talk 05 ~ 08)

- [Direct web link](./REVIEW_02.html)
- [Source Markdown document](https://github.com/Lucas04-nhr/Review-of-R/blob/main/markdown/REVIEW_02.md)

# Part 03 (Talk 09 ~ 12)

- [Direct web link](./REVIEW_03.html)

- [Source Markdown document](https://github.com/Lucas04-nhr/Review-of-R/blob/main/markdown/REVIEW_03.md)



52 changes: 52 additions & 0 deletions markdown/Review of the course “R for Data Science”_CN.md
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# Review of the course “R for Data Science”

<center>
<img src="https://img.shields.io/github/stars/lucas04-nhr/Review-of-R.svg" alt="GitHub stars" href="https://github.com//lucas04-nhr/Review-of-R/stargazers"/>
<img src="https://img.shields.io/github/forks/lucas04-nhr/Review-of-R.svg" alt="GitHub forks" href="https://github.com/lucas04-nhr/Review-of-R/network/members"/>
<img src="https://img.shields.io/github/issues-pr-raw/lucas04-nhr/Review-of-R.svg" alt="GitHub open pull requests" href="https://github.com/lucas04-nhr/Review-of-R/pulls"/>
<img src="https://img.shields.io/github/issues-raw/lucas04-nhr/Review-of-R.svg" alt="GitHub open pull requests" href="https://github.com/lucas04-nhr/Review-of-R/issues"/>
<img src="https://img.shields.io/github/deployments/lucas04-nhr/Review-of-R/github-pages?label=GitHub%20Pages" alt="GitHub Pages Status" href="https://github.com/lucas04-nhr/Review-of-R/deployments"/>
</center>

<font size = 1>**By Haoran Nie @ HUST Life ST**</font>

> Reference: [R for Data Science](https://r4ds.had.co.nz)
>
> The book updated to 2^nd^ ed. on July,2023, here’ s a [link](https://r4ds.hadley.nz) to the official website.

<p xmlns:cc="http://creativecommons.org/ns#" >This work is licensed under <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY-NC-SA 4.0<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/nc.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/sa.svg?ref=chooser-v1"></a></p>

这是经过部分翻译的中文文档的目录,您可以在[这里](./index.html)找到英语原版文件的目录。

为了缩小每份文件的篇幅,我把整个评论分成了三份文件,本页是所有文件的目录。

**注:**本资料的目的**不仅仅**是为了应对“R for Data Science”课程的期末考试,还是在之后的学习过程中需要用到R语言处理数据及绘制图像的有效参考资料之一,故生成了很多版本很多格式的文件,方便使用者在不同条件不同设备上更加方便地查看。如果觉得本项目对你的R语言学习及使用有所帮助,欢迎点击“Star”并且关注我,也欢迎任何人通过“issue”提交错误报告及通过“Pull Request”参与合作共建。

在此向参与共建或者提供建设性意见的用户表示诚挚的谢意(按照提出建议或参与共建的先后时间排序):

- [Rui Zhu](https://github.com/1508324011)
- [Tianhao Wang](https://github.com/lwstkhyl)

本页提供网页版和源代码文件的直接链接。 不过,我也使用 *Typora* 和 $\LaTeX$ 制作 PDF 文件(通过 $\mathrm{Lua}\LaTeX$ 在 $\mathrm{TinyTeX}$ 中编译),你可以在下列链接中找到:

- [用 *Typora*生成的PDF文件](https://github.com/Lucas04-nhr/Review-of-R/tree/main/PDF/CN)
- [用 $\LaTeX$ 编译的PDF文件及$\mathrm{TeX}$源码](https://github.com/Lucas04-nhr/Review-of-R/tree/main/LaTeX/CN)

# Part 01 (Talk 01 ~ 04)

- [网页版](./REVIEW_01_CN.html)
- [原始Markdown文件](https://github.com/Lucas04-nhr/Review-of-R/blob/main/markdown/REVIEW_01_CN.md)

# Part 02 (Talk 05 ~ 08)

- [网页版](./REVIEW_02_CN.html)
- [原始Markdown文件](https://github.com/Lucas04-nhr/Review-of-R/blob/main/markdown/REVIEW_02_CN.md)

# Part 03 (Talk 09 ~ 12)

- [网页版](./REVIEW_03_CN.html)

- [原始Markdown文件](https://github.com/Lucas04-nhr/Review-of-R/blob/main/markdown/REVIEW_03_CN.md)