# 实证分析可视化

**Repository Path**: arlionn/graph

## Basic Information

- **Project Name**: 实证分析可视化
- **Description**: 连玉君，实证分析可视化，课件，codes
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 13
- **Forks**: 48
- **Created**: 2022-07-09
- **Last Updated**: 2025-12-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


## 1. 课件用法

- 复制仓库到你的账号下：注册一个 [码云账号](https://gitee.com)，然后点击 [本仓库](https://gitee.com/arlionn/graph) 右上角的【**Fork**】按钮，把这个仓库复制到你的账号下。随后你可以自行编辑修改。
- 下载仓库内的所有文件：点击【克隆/下载】按钮，把整个仓库的文件打包下载到本地。
- 我提及的教科书：[Textbooks](https://gitee.com/arlionn/stata/wikis/TextBooks/TextBooks.md)

 

## 2. 相关推文

> Note：产生如下推文列表的 Stata 命令为：   
>   `lianxh 绘图 图形`  
> 安装最新版 `lianxh` 命令：    
>   `ssc install lianxh, replace` 

- [万莉](https://www.lianxh.cn/search.html?s=万莉), 2020, [Stata绘图全解：绘图语法-条形图-箱型图-散点图-矩阵图-直方图-点图-饼图](https://www.lianxh.cn/details/34.html), 连享会 No.34.
- [万莉](https://www.lianxh.cn/search.html?s=万莉), 2021, [Stata绘图：世行可视化案例-条形图-密度函数图-地图-断点回归图-散点图](https://www.lianxh.cn/details/560.html), 连享会 No.560.
- [万莉](https://www.lianxh.cn/search.html?s=万莉), 2021, [Stata绘图：回归系数可视化-论文更出彩](https://www.lianxh.cn/details/564.html), 连享会 No.564.
- [万莉](https://www.lianxh.cn/search.html?s=万莉), 2020, [Stata：读懂直方图](https://www.lianxh.cn/details/479.html), 连享会 No.479.
- [侯新烁](https://www.lianxh.cn/search.html?s=侯新烁), 2020, [Stata绘图：一个干净整洁的-Stata绘图模板qlean](https://www.lianxh.cn/details/354.html), 连享会 No.354.
- [保瑞](https://www.lianxh.cn/search.html?s=保瑞), 2021, [Stata绘图-组间差异可视化：不良事件火山图、点阵图](https://www.lianxh.cn/details/675.html), 连享会 No.675.
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- [刘亮](https://www.lianxh.cn/search.html?s=刘亮), 2020, [Stata: 约翰霍普金斯大学 COVID-19 疫情数据处理及可视化](https://www.lianxh.cn/details/107.html), 连享会 No.107.
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- [卢家锐](https://www.lianxh.cn/search.html?s=卢家锐), [连玉君](https://www.lianxh.cn/search.html?s=连玉君), 2020, [Stata绘图：用-bytwoway-实现快速分组绘图](https://www.lianxh.cn/details/357.html), 连享会 No.357.
- [史柯](https://www.lianxh.cn/search.html?s=史柯), 2022, [Stata：绘制宏观时序图](https://www.lianxh.cn/details/940.html), 连享会 No.940.
- [周豪波](https://www.lianxh.cn/search.html?s=周豪波), 2020, [Python 调用 API 爬取百度 POI 数据小贴士——坐标转换、数据清洗与 ArcGIS 可视化](https://www.lianxh.cn/details/20.html), 连享会 No.20.
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- [孙晓艺](https://www.lianxh.cn/search.html?s=孙晓艺), 2024, [Stata绘图大礼包：27个常用的可视化范例及代码](https://www.lianxh.cn/details/1372.html), 连享会 No.1372.
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- [左祥太](https://www.lianxh.cn/search.html?s=左祥太), 2021, [Stata 绘图：用 Stata 绘制一打精美图片-schemes](https://www.lianxh.cn/details/788.html), 连享会 No.788.
- [左祥太](https://www.lianxh.cn/search.html?s=左祥太), 2021, [Stata可视化：biplot一图看尽方差、相关性和主成分](https://www.lianxh.cn/details/814.html), 连享会 No.814.
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- [彭甲超](https://www.lianxh.cn/search.html?s=彭甲超), 2021, [Stata：边际处理效应及其可视化-mtefe-T309](https://www.lianxh.cn/details/128.html), 连享会 No.128.
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- [徐阳](https://www.lianxh.cn/search.html?s=徐阳), 2021, [Stata绘图：柱状图专题-T212](https://www.lianxh.cn/details/625.html), 连享会 No.625.
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- [甘月](https://www.lianxh.cn/search.html?s=甘月), 2022, [Stata绘图：峰峦图绘制 joy_plot](https://www.lianxh.cn/details/975.html), 连享会 No.975.
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- [苗妙](https://www.lianxh.cn/search.html?s=苗妙), 2021, [Stata绘图极简新模板：plotplain和plottig-T251](https://www.lianxh.cn/details/659.html), 连享会 No.659.
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- [范思妤](https://www.lianxh.cn/search.html?s=范思妤), 2022, [Stata绘图：环形柱状图-实时全球新冠确诊人数](https://www.lianxh.cn/details/1000.html), 连享会 No.1000.
- [袁子晴](https://www.lianxh.cn/search.html?s=袁子晴), 2021, [Stata绘图：addplot-层层叠加轻松绘图](https://www.lianxh.cn/details/810.html), 连享会 No.810.
- [袁子晴](https://www.lianxh.cn/search.html?s=袁子晴), 2021, [Stata绘图：自定义绘图利器-palettes](https://www.lianxh.cn/details/828.html), 连享会 No.828.
- [袁子晴](https://www.lianxh.cn/search.html?s=袁子晴), 2021, [forest-森林图：分组回归系数可视化](https://www.lianxh.cn/details/651.html), 连享会 No.651.
- [袁子晴](https://www.lianxh.cn/search.html?s=袁子晴), 2021, [史上最牛Stata绘图模板-schemepack：酷似R中的ggplot2](https://www.lianxh.cn/details/819.html), 连享会 No.819.
- [谢作翰](https://www.lianxh.cn/search.html?s=谢作翰), 2019, [普林斯顿Stata教程(二) - Stata绘图](https://www.lianxh.cn/details/78.html), 连享会 No.78.
- [谢佳松](https://www.lianxh.cn/search.html?s=谢佳松), 2022, [Stata绘图：回归系数可视化-multicoefplot](https://www.lianxh.cn/details/956.html), 连享会 No.956.
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- [连玉君](https://www.lianxh.cn/search.html?s=连玉君), 2022, [Stata绘图：唯美的函数图-自定义水平附加线和竖直附加线](https://www.lianxh.cn/details/1064.html), 连享会 No.1064.
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