doc: add pygwalker paper

ObservedObserver · ObservedObserver · commit 4b6b4be95a02 · 2024-06-18T14:40:47.000+08:00
diff --git a/README.md b/README.md
@@ -5,6 +5,9 @@
 <h2 align="center">PyGWalker: A Python Library for Exploratory Data Analysis with Visualization</h2>
 
 <p align="center">
+    <a href="https://arxiv.org/abs/2406.11637">
+      <img src="https://img.shields.io/badge/arXiv-2406.11637-b31b1b.svg" height="18" align="center">
+    </a>
     <a href="https://badge.fury.io/py/pygwalker">
         <img src="https://badge.fury.io/py/pygwalker.svg" alt="PyPI version" height="18" align="center" />
     </a>
@@ -252,9 +255,11 @@ More details, refer it: [How to set your privacy configuration?](https://github.
 
 # Resources
 
-> PyGWalker Cloud is released! You can now save your charts to cloud, publish the interactive cell as a web app and use advanced GPT-powered features. Check out the [PyGWalker Cloud](https://kanaries.net/home/pygwalker?from=gh_md) for more details.
+> PyGWalker Cloud is released! You can now save your charts to cloud, publish the interactive cell as a web app and use advanced GPT-powered features. Check out the [PyGWalker Cloud](https://kanaries.net/pygwalker?from=gh_md) for more details.
 
-+ Check out more resources about PyGWalker on [Kanaries PyGWalker](https://kanaries.net/home/pygwalker)
++ Check out more resources about PyGWalker on [Kanaries PyGWalker](https://kanaries.net/pygwalker)
++ PyGWalker Paper [PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
+](https://arxiv.org/abs/2406.11637)
 + We are also working on [RATH](https://kanaries.net): an Open Source, Automate exploratory data analysis software that redefines the workflow of data wrangling, exploration and visualization with AI-powered automation. Check out the [Kanaries website](https://kanaries.net) and [RATH GitHub](https://github.com/Kanaries/Rath) for more!
 + [Youtube: How to explore data with PyGWalker in Python
 ](https://youtu.be/rprn79wfB9E?si=lAsJn1cAQnb-EklD)
diff --git a/docs/README.de.md b/docs/README.de.md
@@ -5,6 +5,9 @@
 <h2 align="center">PyGWalker: Eine Python-Bibliothek für explorative Datenanalyse mit Visualisierung.</h2>
 
 <p align="center">
+    <a href="https://arxiv.org/abs/2406.11637">
+      <img src="https://img.shields.io/badge/arXiv-2406.11637-b31b1b.svg" height="18" align="center">
+    </a>
     <a href="https://badge.fury.io/py/pygwalker">
         <img src="https://badge.fury.io/py/pygwalker.svg" alt="PyPI version" height="18" align="center">
     </a>
@@ -186,6 +189,8 @@ Weitere Einzelheiten finden Sie hier: [How to set your privacy configuration?](h
 
 # Ressourcen
 
++ PyGWalker Paper [PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
+](https://arxiv.org/abs/2406.11637)
 + Weitere Ressourcen zu Graphic Walker finden Sie auf [Graphic Walker GitHub](https://github.com/Kanaries/graphic-walker)
 + Wir arbeiten auch an [RATH](https://kanaries.net): einer Open-Source-Software für automatisierte explorative Datenanalyse, die den Workflow der Datenbereinigung, -exploration und -visualisierung mit KI-gesteuerter Automatisierung neu definiert. Besuchen Sie die [Kanaries-Website](https://kanaries.net) und [RATH GitHub](https://github.com/Kanaries/Rath) für weitere Informationen!
 + [Verwenden von pygwalker, um eine visuelle Analyseanwendung in Streamlit zu erstellen](https://docs.kanaries.net/pygwalker/use-pygwalker-with-streamlit)
diff --git a/docs/README.es.md b/docs/README.es.md
@@ -5,6 +5,9 @@
 <h2 align="center">PyGWalker: Una Biblioteca de Python para Análisis Exploratorio de Datos con Visualización.</h2>
 
 <p align="center">
+    <a href="https://arxiv.org/abs/2406.11637">
+      <img src="https://img.shields.io/badge/arXiv-2406.11637-b31b1b.svg" height="18" align="center">
+    </a>
     <a href="https://badge.fury.io/py/pygwalker">
         <img src="https://badge.fury.io/py/pygwalker.svg" alt="PyPI version" height="18" align="center">
     </a>
@@ -186,6 +189,8 @@ Más detalles, consúltelo: [How to set your privacy configuration?](https://git
 
 # Recursos
 
++ PyGWalker Paper [PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
+](https://arxiv.org/abs/2406.11637)
 + Consulte más recursos sobre Graphic Walker en [GitHub de Graphic Walker](https://github.com/Kanaries/graphic-walker).
 + También estamos trabajando en [RATH](https://kanaries.net): un software de análisis exploratorio de datos de código abierto que redefine el flujo de trabajo de manipulación, exploración y visualización de datos con automatización impulsada por IA. Consulte el [sitio web de Kanaries](https://kanaries.net) y [RATH GitHub](https://github.com/Kanaries/Rath) para obtener más información.
 + [Use pygwalker para construir una aplicación de análisis visual en Streamlit](https://docs.kanaries.net/pygwalker/use-pygwalker-with-streamlit)
diff --git a/docs/README.fr.md b/docs/README.fr.md
@@ -5,6 +5,9 @@
 <h2 align="center">Une Bibliothèque Python pour l'Analyse Exploratoire de Données avec Visualisation.</h2>
 
 <p align="center">
+    <a href="https://arxiv.org/abs/2406.11637">
+      <img src="https://img.shields.io/badge/arXiv-2406.11637-b31b1b.svg" height="18" align="center">
+    </a>
     <a href="https://badge.fury.io/py/pygwalker">
         <img src="https://badge.fury.io/py/pygwalker.svg" alt="PyPI version" height="18" align="center">
     </a>
@@ -186,6 +189,8 @@ Plus de détails, référez-le: [How to set your privacy configuration?](https:/
 
 # Ressources
 
++ PyGWalker Paper [PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
+](https://arxiv.org/abs/2406.11637)
 + Découvrez plus de ressources sur Graphic Walker sur [GitHub de Graphic Walker](https://github.com/Kanaries/graphic-walker)
 + Nous travaillons également sur [RATH](https://kanaries.net) : un logiciel open source d'analyse exploratoire de données automatisée qui redéfinit le flux de travail de la manipulation des données, de l'exploration et de la visualisation avec une automatisation alimentée par l'IA. Consultez le [site web de Kanaries](https://kanaries.net) et [GitHub de Rath](https://github.com/Kanaries/Rath) pour en savoir plus !
 + [Utilisez pygwalker pour construire une application d'analyse visuelle dans Streamlit](https://docs.kanaries.net/pygwalker/use-pygwalker-with-streamlit)
diff --git a/docs/README.ja.md b/docs/README.ja.md
@@ -5,6 +5,9 @@
 <h2 align="center">PyGWalker：データ探索と可視化のためのPythonライブラリ</h2>
 
 <p align="center">
+    <a href="https://arxiv.org/abs/2406.11637">
+      <img src="https://img.shields.io/badge/arXiv-2406.11637-b31b1b.svg" height="18" align="center">
+    </a>
     <a href="https://badge.fury.io/py/pygwalker">
         <img src="https://badge.fury.io/py/pygwalker.svg" alt="PyPI version" height="18" align="center">
     </a>
@@ -187,6 +190,8 @@ options:
 
 # リソース
 
++ PyGWalker Paper [PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
+](https://arxiv.org/abs/2406.11637)
 + [Graphic Walkerに関する詳細な情報は、Graphic Walker GitHub](https://github.com/Kanaries/graphic-walker)をチェックしてください。
 + 私たちはまた、AIパワードの自動化を備えたデータ整理、探索、可視化のワークフローを再定義するオープンソースの探索的データ分析ソフトウェアである[RATH](https://kanaries.net)に取り組んでいます。[Kanariesのウェブサイト](https://kanaries.net)と[RATH GitHub](https://github.com/Kanaries/Rath)をチェックしてください！
 + [Streamlitで視覚的分析アプリを構築するためにpygwalkerを使用](https://docs.kanaries.net/pygwalker/use-pygwalker-with-streamlit)
diff --git a/docs/README.ko.md b/docs/README.ko.md
@@ -4,6 +4,9 @@
 <h2 align="center">PyGWalker: 시각화와 함께 탐색적 데이터 분석을 위한 Python 라이브러리</h2>
 
 <p align="center">
+    <a href="https://arxiv.org/abs/2406.11637">
+      <img src="https://img.shields.io/badge/arXiv-2406.11637-b31b1b.svg" height="18" align="center">
+    </a>
     <a href="https://badge.fury.io/py/pygwalker">
         <img src="https://badge.fury.io/py/pygwalker.svg" alt="PyPI version" height="18" align="center">
     </a>
@@ -186,6 +189,8 @@ options:
 
 # 자원
 
++ PyGWalker Paper [PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
+](https://arxiv.org/abs/2406.11637)
 + [Graphic Walker에 대한 자세한 자료](https://github.com/Kanaries/graphic-walker)
 + [RATH](https://kanaries.net) (작업 중인 항목): 인공 지능 기반 자동화를 통해 데이터 처리, 탐색 및 시각화 워크플로우를 재정의하는 오픈 소스 자동 탐색 데이터 분석 소프트웨어입니다. 더 많은 정보를 보려면 [Kanaries 웹 사이트](https://kanaries.net)
 
diff --git a/docs/README.tr.md b/docs/README.tr.md
@@ -5,6 +5,9 @@
 <h2 align="center">PyGWalker: Görselleştirmeyle Keşif Amaçlı Veri Analizi için Python Kütüphanesi</h2>
 
 <p align="center">
+    <a href="https://arxiv.org/abs/2406.11637">
+      <img src="https://img.shields.io/badge/arXiv-2406.11637-b31b1b.svg" height="18" align="center">
+    </a>
     <a href="https://badge.fury.io/py/pygwalker">
         <img src="https://badge.fury.io/py/pygwalker.svg" alt="PyPI version" height="18" align="center">
     </a>
@@ -208,6 +211,8 @@ Daha fazla ayrıntı, bakın: [How to set your privacy configuration?](https://g
 
 # Resources
 
++ PyGWalker Paper [PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
+](https://arxiv.org/abs/2406.11637)
 + [Graphic Walker GitHub](https://github.com/Kanaries/graphic-walker)'da Graphic Walker hakkında daha fazla kaynağa göz atın
 + Ayrıca, yapay zeka destekli otomasyonla veri düzenleme, keşif ve görselleştirme iş akışını yeniden tanımlayan Açık Kaynaklı, Otomatik keşif amaçlı veri analizi yazılımı olan [RATH](https://kanaries.net) üzerinde de çalışıyoruz. Daha fazla bilgi için [Kanaries web sitesine](https://kanaries.net) ve [RATH GitHub'a](https://github.com/Kanaries/Rath) göz atın!
 + [Use pygwalker to build visual analysis app in streamlit](https://docs.kanaries.net/pygwalker/use-pygwalker-with-streamlit)
diff --git a/docs/README.zh.md b/docs/README.zh.md
@@ -5,6 +5,9 @@
 <h2 align="center">PyGWalker: 一行代码将数据集转化为交互式可视化分析工具</h2>
 
 <p align="center">
+    <a href="https://arxiv.org/abs/2406.11637">
+      <img src="https://img.shields.io/badge/arXiv-2406.11637-b31b1b.svg" height="18" align="center">
+    </a>
     <a href="https://badge.fury.io/py/pygwalker">
         <img src="https://badge.fury.io/py/pygwalker.svg" alt="PyPI version" height="18" align="center">
     </a>
@@ -251,13 +254,7 @@ options:
 
 # 更多阅读
 
++ PyGWalker论文 [PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
+](https://arxiv.org/abs/2406.11637)
 + 关于Graphic Walker，参考 [Graphic Walker GitHub](https://github.com/Kanaries/graphic-walker)
 + 我们也在开发新一代增强分析型BI：[RATH](https://kanaries.net)。RATH是新一代智能化数据分析工具。借助AI，因果推断，智能可视化引擎协助你进行数据分析，体验前所未有的自动化。更多请访问：[RATH GitHub](https://github.com/Kanaries/Rath)
-+ QQ交流群：129132269
-+ 微信交流群: [Kanaries 开源社区(点击此处加群)](https://ewgw6z7tk0.feishu.cn/docx/Jnw5d0w60oU2xlxVKupcdeaGn0f?from=from_copylink)
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