Data Visualization and Social Data Analysis

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Executive Summary

Analysts in all areas of human knowledge, from science and engineering to economics, social science and journalism are drowning in data. New technologies for sensing, simulation, and communication are helping people to both collect and produce data at exponential rates. Such sensemaking {turning data sets into knowledge} is the basic motivation for query processing and data mining research. But beyond the systems, algorithms and statistics, sensemaking is a fundamental challenge in human-computer interaction. It requires integrating large-scale data storage, access, and analysis tools with subjective and contextualized human judgments about the meaning and signi cance of patterns in the data.

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