Northstar: An Interactive Data Science System
Northstar: An Interactive Data Science System
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DOI：
10.14778/3229863.3240493
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发表时间：
2018-08-01
影响因子：
2.5
通讯作者：
Kraska, Tim
中科院分区：
文献类型：
--
作者：
Kraska, Tim
为了使数据科学民主化，我们需要从根本上重新思考当前的分析堆栈，从用户界面到“内脏”。“最重要的是，让更广泛的用户能够发挥（他们的）数据的潜力，需要改变界面和我们为他们提供的“保护”。一方面，数据科学的可视化界面必须是直观的，简单的，交互式的，以达到用户在计算机科学或统计学方面没有很强的背景。另一方面，我们需要保护用户免受错误发现的影响。此外，它要求系统自动完成技术上涉及的（通常是无聊的）任务，以便用户可以专注于为问题贡献他们的领域专业知识。在本文中，我们介绍了Northstar，交互式数据科学系统，我们在过去4年中开发了该系统，以探索使高级分析和模型构建更易于访问的设计。
In order to democratize data science, we need to fundamentally rethink the current analytics stack, from the user interface to the "guts." Most importantly, enabling a broader range of users to unfold the potential of (their) data requires a change in the interface and the "protection" we offer them. On the one hand, visual interfaces for data science have to be intuitive, easy, and interactive to reach users without a strong background in computer science or statistics. On the other hand, we need to protect users from making false discoveries. Furthermore, it requires that technically involved (and often boring) tasks have to be automatically done by the system so that the user can focus on contributing their domain expertise to the problem. In this paper, we present Northstar, the Interactive Data Science System, which we have developed over the last 4 years to explore designs that make advanced analytics and model building more accessible.