SandDance

Visually explore, understand, and present your data.

By using easy-to-understand views, SandDance helps you find insights about your data, which in turn help you tell stories supported by data, build cases based on evidence, test hypotheses, dig deeper into surface explanations, support decisions for purchases, or relate data into a wider, real world context.

SandDance uses unit visualizations, which apply a one-to-one mapping between rows in your database and marks on the screen. Smooth animated transitions between views help you to maintain context as you interact with your data.

This new version of SandDance has been rebuilt from scratch with the goal of being modular, extensible, and embeddable into your custom applications. We are now on GitHub so that we are open and driven by the community through contributions, feature requests, and discussion.

SandDance was created by the Microsoft Research VIDA Group which explores novel technologies for visualization and immersive data analytics.

Where can I use SandDance?

Try it now on the web
Power BI - see additional info
Azure Data Studio
VSCode extension
Observable
In your own JavaScript apps - see below

Component architecture

SandDance is an offering of several JavaScript components:

sanddance - the core SandDance visualization canvas.
sanddance-react - the core SandDance visualization canvas for use in React based applications.
sanddance-explorer - the core SandDance visualization canvas with UI to enable data exploration, for use in React based applications.

Changelog

April 2019 - Initial release to GitHub.
August 2019 - Initial release to AppSource (Power BI marketplace).

Known issues

Animations require a WebGL2 enabled browser.

Roadmap

PowerBI custom visual based on this new architecture.
Additional views, such as stacks.
Code examples and tutorials.

Dependencies

SandDance is created with open source libraries, using Vega for chart layout and Deck.gl for WebGL rendering.

Development

See https://github.com/Microsoft/SandDance/blob/master/dev.md

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

开源项目：SandDance-数据可视化相关推荐

springboot毕设项目基于数据可视化的云山川景点日推交流平台gox2x（java+VUE+Mybatis+Maven+Mysql）
springboot毕设项目基于数据可视化的云山川景点日推交流平台gox2x(java+VUE+Mybatis+Maven+Mysql) 项目运行环境配置: Jdk1.8 + Tomcat8.5 + ...
一款开源的强横数据可视化分析工具，支持对excel文件进行转换分析
Pandasgui是一个开源的python模块,它为pandas创建了一个GUI界面,我们可以在其中使用pandas的功能分析数据和使用不同的功能,以便可视化和分析数据,并执行探索性数据分析. 更重要 ...
Apache Superset 开源商业智能大数据可视化
Apache Superset 是一款现代化的开源大数据工具,也是企业级商业智能 Web 应用,用于数据探索分析和数据可视化. Apache Superset 是一个适合企业日常生产环境中使用的商业智 ...
python 可视化项目_python3项目之数据可视化
数据可视化指的是通过可视化表示来探索数据,它与数据挖掘紧密相关,而数据挖掘指的是使用代码来探索数据集的规律和关联. 数据科学家使用Python编写了一系列令人印象深刻的可视化和分析工具,其中很多也可供 ...
CSDN开源夏令营百度数据可视化实践 ECharts（8）
(1)前言首先谢谢林峰老师,继续接着第七篇提到的内容.CSS布局确实非常累,感觉不好看了就的调整,总的看起来的高大上嘛.好了废话不再多说.今天主要就先解说一个页面的内容,对于CSS布局后面讲会具体的 ...
大数据可视化html模板开源_8个可靠好用的开源数据可视化工具推荐
数据可视化在数据科学领域中发挥着重要的作用.在不清楚数据的情况下,要监视和调整数据以使其按照应有的方式执行并不容易.这就是数据可视化发挥作用的地方,它把收集到的数据放到一个可视的上下文中,使数据更容易 ...
ajax将数据显示在class为content的标签中_[原创]数据可视化实战项目
数据可视化实战项目 NLP 数据可视化 request BeautifulSoup #爬虫所需import requestsfrom bs4 import BeautifulSoup# Nlp可视化所 ...
[译] VINE：一种开源的神经进化（Neuroevolution）交互式数据可视化工具
原文地址:VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution 原文作者:Uber Engineeri ...
8个可靠的开源数据可视化工具-你的选择是？
数据可视化在数据科学领域中发挥着重要的作用.在不清楚数据的情况下,要监视和调整数据以使其按照应有的方式执行并不容易.这就是数据可视化发挥作用的地方,它把收集到的数据放到一个可视的上下文中,使数据更容易 ...
legend位置 pyecharts_实验｜pyecharts数据可视化分析-1
1. 实验介绍本实验主要介绍pyecharts基本特点与属性. 1.1. 实验目的了解pyecharts功能.特点.与安装方式. 1.2. 知识点 pyecharts特点 pyecharts图表 ...

开源项目：SandDance-数据可视化