Using Aggregation and Dynamic Queries for Exploring Large Data Sets
Abstract
When working with large data sets, users perform three primary types of activities: data manipulation, data analysis, and data visualization. The data manipulation process involves the selection and transformation of data prior to viewing. This paper addresses user goals for this process and the interactive interface mechanisms that support them. We consider three classes of data manipulation goals: controlling the scope (selecting the desired portion of the data), selecting the focus of attention (concentrating on the attributes of data that are relevant to current analysis), and choosing the level of detail (creating and decomposing aggregates of data). We use this classification to evaluate the functionality of existing data exploration interface techniques. Based on these results, we have expanded an interface mechanism called the Aggregate Manipulator (AM) and combined it with Dynamic Query (DQ) to provide complete coverage of the data manipulation goals. We use real estate sales data to demonstrate how the AM and DQ synergistically function in our interface.
BibTeX
@conference{Goldstein-1994-13658,author = {J. Goldstein and Steven F. Roth},
title = {Using Aggregation and Dynamic Queries for Exploring Large Data Sets},
booktitle = {Proceedings of SIGCHI Conference on Human Factors in Computing Systems (CHI '94)},
year = {1994},
month = {April},
pages = {23 - 29},
}