Merge pull request #237 from p1ng-request/master

Updates README gifs

README-zh.md

@@ -41,7 +41,7 @@ RATH 是数据分析和可视化工具（如 Tableau）的开源替代品。主
 - 发现数据规律，揭示数据的内在联系和因果关系
 - 使用增强分析引擎自动化你的探索性数据分析（EDA）流程
 
-<img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github_readme.gif" alt="GitHub ReadMe Demo"/>
+<a href="https://kanaries.net"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/feature-demo.gif" alt="RATH 功能 demo"></a>
 
 ## 快速上手RATH
 
@@ -97,51 +97,42 @@ yarn workspace rath-client start
 
 ## 功能截图
 
-### 导入数据
+### 导入数据源
 
-导入数据源:
+<a href="https://docs.kanaries.net/zh/data-profiling#导入数据"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/import-data-from-selected-data-source.gif" alt="导入数据源"></a>
 
-![导入数据源](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/datasource-01-zh.png)
+### 浏览数据视图
 
-浏览数据视图:
+<a href="https://docs.kanaries.net/zh/data-profiling#数据剖析"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/view-statistics-data-source.gif" alt="浏览数据视图"></a>
 
-![浏览数据视图](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/datasource-02-zh.png)
+### 一键全自动分析，并生成可视化视图
 
-### 自动分析
+<a href="https://docs.kanaries.net/zh/mega-auto-data-exploration"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/one-click-automated-data-analysis-visualization.gif" alt="RATH全自动分析"></a>
 
-使用RATH一键全自动分析：
+### 半自动探索
 
-![一键全自动分析](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-mega-auto-01-zh.png)
+RATH作为数据分析的智能助手，通过AI学习给出提示，协助数据分析师探索数据。
+分析师提供输入，AI智能学习，给出分析：
 
-生成联想视图：
-
-![联想视图](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-asso-01-zh.png)
-
-### 半自动分析
-
-RATH作为数据分析的智能助手，通过AI学习给出提示，协助数据分析师探索数据
-
-分析师提供输入：
-![分析师提供输入](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-semi-02-zh.png)
-
-AI智能学习，给出分析：
-![AI智能学习，给出分析](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-semi-01-zh.png)
+<a href="https://docs.kanaries.net/zh/semi-auto-data-exploration"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/rath-data-analysis-ai-copilot.gif" alt="RATH半自动探索"></a>
 
 ### 自助分析 （类Tableau）
-![RATH自助分析](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-gw-01-zh.png)
 
-![RATH自助分析](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-gw-02-zh.png)
+<a href="https://docs.kanaries.net/zh/semi-auto-data-exploration#自助分析"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/manually-explore-data-tableau-ui.gif" alt="RATH自助分析"></a>
 
-> 手动分析同时也是一个独立的模块。你可以把它嵌入到你自己的APP内。更多参考位于`packages/graphic-walker/README.md`的README文档
+> 自助分析同时也是一个独立的模块。你可以把它嵌入到你自己的APP内。更多参考位于`packages/graphic-walker/README.md`的README文档
 >
 >安装方法：
 >```bash
 >yarn add @kanaries/graphic-walker
 ># or
->
 >npm i --save @kanaries/graphic-walker
 >```
 
+### 数据绘板，以绘画的方式完成数据分析工作流
+
+<a href="https://docs.kanaries.net/zh/data-painter"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/data-analysis-paiting.gif" alt="数据绘板"></a>
+
 ## 支持数据库
 
 <p align="center">

README.md

@@ -53,7 +53,7 @@ Welcome to the [Kanaries RATH](https://kanaries.net/). We are so excited to have
 
 **RATH** is beyond an open-source alternative to Data Analysis and Visualization tools such as Tableau. It automates your Explotoary Data Analysis workflow with an Augmented Analytic engine by discovering patterns, insights, causals and presents those insights with powerful auto-generated multi-dimensional data visualization.
 
-<img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github_readme.gif" alt="GitHub ReadMe Demo"/>
+<a href="https://kanaries.net"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/feature-demo.gif" alt="RATH features demo"></a>
 
 ## Get started
 
@@ -71,7 +71,6 @@ To get started with RATH, you can:
 <a href="https://discord.gg/Z4ngFWXz2U"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/discord.png" alt="Join our Discord community" width="200"/> </a>
 
 
-
 > Please consider sharing your experience or thoughts about [Kanaries RATH](https://kanaries.net) with the border Open Source community. It really does help!
 
 [![GitHub Repo stars](https://img.shields.io/badge/share%20on-reddit-red?style=flat-square&logo=reddit)](https://reddit.com/submit?url=https://github.com/Kanaries/Rath&title=OpenSource%20Augmented%20Analytic%20BI%20Solution:%20Automated%20Exploratory%20Data%20Analysis%20for%20Data%20Science)
@@ -101,17 +100,14 @@ You can either:
 - Run RATH in a browser. [RATH Cloud](https://rath.kanaries.net/)
 - Download the [desktop version](https://kanaries.net/#/products) for Windows/Mac.
 - Run your own RATH instance. Steps:
-Clone the Rath repository:
+
 ```bash
 git clone https://github.com/Kanaries/Rath.git && cd Rath
-```
-Setup your Yarn workspace:
-```bash
+# Clone the Rath repository
 yarn install
-```
-Boot up RATH:
-```bash
+# Setup your Yarn workspace
 yarn workspace rath-client start
+# Boot up RATH
 ```
 
 ## Feature highlights
@@ -127,54 +123,45 @@ yarn workspace rath-client start
 
 - :construction: Causal Analysis: Provide causal discovery and explanations for complex relation analysis.
 
-- 🎓 Wanna learn more about RATH? Visit our [Free online Courses](https://docs.kanaries.net/blog/tags/course): Access learning materials, detailed instructions and skill tests for **FREE**!
+- 🎓 Wanna learn more about RATH? Visit our [Free online Courses](https://docs.kanaries.net/tutorials): Access learning materials, detailed instructions and skill tests for **FREE**!
 
 ## Walkthroughs
-### Import data
-**View statistics from your data source:**
-
-![View statistics from your data source](https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/study-biking-sharing-data-with-rath.webp)
 
-**Try different data views:**
-![View your dataset](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/datasource-02.png)
+### Import data from online databases or CSV/JSON files.
 
-### Conduct Automated Data Exploration
+<a href="https://docs.kanaries.net/data-profiling#import-your-data"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/import-data-from-selected-data-source.gif" alt="Import data from a selected data source"></a>
 
-**One-click data analysis with Mega-auto Exploration:**
+### View statistics from your data source
 
-![One-click data analysis with Mega-auto Exploration](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-mega-auto-01.png)
+<a href="https://docs.kanaries.net/data-profiling#data-profiling"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/view-statistics-data-source.gif" alt="View statistics from your data source"></a>
 
-**Generate more associate visualizations in Mega-auto Exploration:**
+### One-click automated data analysis with visualizations
 
-![Generate more associate visualizations in Mega-auto Exploration](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-asso-01.png)
+<a href="https://docs.kanaries.net/mega-auto-data-exploration"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/one-click-automated-data-analysis-visualization.gif" alt="One-click automated data analysis with visualizations"></a>
 
-### Use RATH as the Data Analysis Copilot
+### Use RATH as your AI Copilot in Data Analysis
 
-**Provide RATH with some input in Semi-auto Exploration:**
+Assisted with AI, RATH can help you with your data analysis. Just provide RATH with some input and it will learn about your interests and suggest analysis directions to take.
 
-![Use RATH as the Data Analysis copilot in Semi-auto Exploration](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-semi-02.png)
+<a href="https://docs.kanaries.net/semi-auto-data-exploration"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/rath-data-analysis-ai-copilot.gif" alt="RATH Data Analysis AI Copilot"></a>
 
-**RATH automatically learns your interests and generates recommendations:**
+### Manually explore your data with a Tableau-like UI:
 
-![Use RATH as the Data Analysis copilot in Semi-auto Exploration](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-semi-01.png)
-
-### Manual data exploration
-
-**Manually explore your data with a Tableau-like module:**
-![Use RATH as the Data Analysis copilot in Semi-auto Exploration](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-gw-01.png)
-
-![Use RATH as the Data Analysis copilot in Semi-auto Exploration](https://ch-resources.oss-cn-shanghai.aliyuncs.com/images/rath/1.0.0/rath-gw-02.png)
+<a href="https://docs.kanaries.net/semi-auto-data-exploration#manually-explore-your-data"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/manually-explore-data-tableau-ui.gif" alt="Manually explore your data with a Tableau-like UI"></a>
 
 > Manual Exploration is an independent embedding module. You can use it independently in your apps. For more details, refer to the README.md in in `packages/graphic-walker/README.md`.
 >
 > Install Graphic Walker
 > ```bash
 > yarn add @kanaries/graphic-walker
 > # or
->
 > npm i --save @kanaries/graphic-walker
 > ```
 
+### :sparkles: Interactive data analysis workflow by data painting
+
+<a href="https://docs.kanaries.net/data-painter"><img src="https://kanaries-docs.oss-cn-hangzhou.aliyuncs.com/img/github-readme/data-analysis-paiting.gif" alt="Interactive data analysis by painting"></a>
+
 ## Supported Databases
 
 RATH supports a wide range of data sources. Here are some of the major database solutions that you can connect to RATH: