docs: add simplified Chinese version readme

Author: bruceyyu

.Rbuildignore

@@ -6,3 +6,4 @@
 ^\.vscode$
 ^LICENSE$
 ^\.github$
+^docs

.gitignore

@@ -40,7 +40,7 @@ vignettes/*.pdf
 .Renviron
 
 # pkgdown site
-docs/
+# docs/
 
 # translation temp files
 po/*~

README.md

@@ -1,3 +1,5 @@
+[English](README.md) | [中文](./docs/README.zh.md)
+
 # GWalkR: Your One-Stop R Package for Exploratory Data Analysis with Visualization
 
 ![](https://img.shields.io/github/actions/workflow/status/kanaries/GWalkR/web-app-build.yml?style=flat-square)
@@ -12,22 +14,23 @@ It can can simplify your R data analysis and data visualization workflow, by tur
 
 <img width="1437" alt="image" src="https://github.com/Bruceshark/GWalkR/assets/33870780/26967dda-57c0-4abd-823c-63037c8f5168">
 
+> If you prefer using Python, you can check out [PyGWalker](https://github.com/Kanaries/pygwalker)!
 
 ## Getting Started
 
 ### Setup GWalkR
 
 #### Through Package Archive File (.tar.gz)
 
-First, download the package archive file `GWalkR_0.1.0.tar.gz` from the Github release.
+First, download the package archive file `GWalkR_0.1.0.tar.gz` from [this link](https://kanaries-app.s3.ap-northeast-1.amazonaws.com/oss/gwakr/GWalkR_0.1.0.tar.gz).
 Open R Studio, click "Install" in the "Packages" window, and select "Package Archive File (.tgz; .tar.gz)" in the "Install from". Then, select the archive in your file system and click "Install".
 
 #### Through Running R Script
 
 Alternatively, you can run the following R code in your script to download without a lot of clicking.
 
 ```R
-url <- "https://github.com/Bruceshark/GWalkR/releases/download/preview/GWalkR_0.1.0.tar.gz"
+url <- "https://kanaries-app.s3.ap-northeast-1.amazonaws.com/oss/gwakr/GWalkR_0.1.0.tar.gz"
 destfile <- "GWalkR_0.1.0.tar.gz"
 download.file(url, destfile)
 install.packages(destfile, repos = NULL, type = "source")
@@ -46,3 +49,5 @@ data(iris)
 gwalkr(iris)
 ```
 
+<img width="1437" alt="image" src="https://github.com/Bruceshark/GWalkR/assets/33870780/718d8ff6-4ad5-492d-9afb-c4ed67573f51">
+

docs/README.zh.md

@@ -0,0 +1,53 @@
+# GWalkR: 一行代码将数据集转化为交互式可视化分析工具
+
+![](https://img.shields.io/github/actions/workflow/status/kanaries/GWalkR/web-app-build.yml?style=flat-square)
+![](https://img.shields.io/github/license/kanaries/GWalkR?style=flat-square)
+[![](https://img.shields.io/badge/twitter-kanaries_data-03A9F4?style=flat-square&logo=twitter)](https://twitter.com/kanaries_data)
+[![](https://img.shields.io/discord/987366424634884096?color=%237289da&label=Discord&logo=discord&logoColor=white&style=flat-square)](https://discord.gg/WWHraZ8SeV)
+
+一行代码，开启您在R中的数据探索之旅！
+
+[GWalkR](https://github.com/Kanaries/GWalkR) 是R中的交互式探索性数据分析（EDA）工具。
+它整合了htmlwidgets和 [Graphic Walker](https://github.com/Kanaries/graphic-walker)。
+通过将您的数据框转换为Tableau风格的用户界面进行可视化探索，它可以简化您的R数据分析和数据可视化工作流程。
+
+
+<img width="1437" alt="image" src="https://github.com/Bruceshark/GWalkR/assets/33870780/26967dda-57c0-4abd-823c-63037c8f5168">
+
+> 如果你喜欢使用Python，你可以在Python中使用[PyGWalker](https://github.com/Kanaries/pygwalker)。
+
+## 快速开始
+
+### 安装 GWalkR
+
+#### 通过下载 .tar.gz 文件包安装
+
+首先，从[这个链接](https://kanaries-app.s3.ap-northeast-1.amazonaws.com/oss/gwakr/GWalkR_0.1.0.tar.gz)中下载包 GWalkR_0.1.0.tar.gz。
+打开 R Studio，点击 "Packages" 窗口中的 "Install"，然后在 "Install from" 中选择 "Package Archive File (.tgz; .tar.gz)"。然后，选择您的文件系统中的下载好的包，最后点击"Install"。
+
+#### 通过运行R脚本安装
+
+或者，您可以在脚本中运行以下R代码来下载。
+
+```R
+url <- "https://kanaries-app.s3.ap-northeast-1.amazonaws.com/oss/gwakr/GWalkR_0.1.0.tar.gz"
+destfile <- "GWalkR_0.1.0.tar.gz"
+download.file(url, destfile)
+install.packages(destfile, repos = NULL, type = "source")
+```
+
+#### 通过 CRAN 安装
+
+即将支持。敬请期待！
+
+
+### 用一行代码开始您的数据探索吧
+
+```R
+library(GWalkR)
+data(iris)
+gwalkr(iris)
+```
+
+<img width="1437" alt="image" src="https://github.com/Bruceshark/GWalkR/assets/33870780/718d8ff6-4ad5-492d-9afb-c4ed67573f51">
+