Scalable Spreadsheets for Interactive Data Analysis
Scalable Spreadsheets for Interactive Data Analysis
复制标题
用于交互式数据分析的可扩展电子表格
DOI：
--
复制
发表时间：
1999
期刊：
影响因子：
--
通讯作者：
J. Hellerstein
中科院分区：
文献类型：
--
作者：
Vijayshankar Raman;Andy Chou;J. Hellerstein
交互式响应和自然直观的控制对于数据分析非常重要。我们正在构建ABC，这是一个可扩展的数据分析电子表格，它结合了探索，分组和聚合。我们专注于交互式响应，而不是长时间的延迟，直观，直接的操作操作，而不是复杂的查询。ABC允许分析师使用电子表格以不同的细节粒度交互式地探索数据。在探索过程中出现的假设可以通过在交互选择的数据项组上动态计算聚合来检查。在本文中，我们描述了我们对ABC的愿景。我们给出的例子，说明需要在查询处理和查询制定的互动，动态组制定的优势，并在发现数据的假设，然后可以验证聚合的探索的有用性。我们简要讨论了建立ABC所涉及的系统问题，并提到了我们迄今为止的进展。
Interactive responses and natural, intuitive controls are important for data analysis. We are building ABC, a scal-able spreadsheet for data analysis that combines exploration , grouping, and aggregation. We focus on interactive responses in place of long delays, and intuitive, direct-manipulation operations in place of complex queries. ABC allows analysts to interactively explore the data at varying granularities of detail using a spreadsheet. Hypotheses that arise during the exploration can be checked by dynamically computing aggregates on interactively chosen groups of data items. In this paper we describe our vision for ABC. We give examples that illustrate the need for interactivity in query processing and query formulation, the advantages of dynamic group formulation, and the usefulness of exploration in discovering hypotheses about data that can then be veriied by aggregation. We brieey discuss the systems issues involved in building ABC, and mention our progress so far.