Association for Computing Machinery
The term \"Big data\" describes data of a magnitude so large that it requires a change in methodology in order to process. In the era of big data it is increasingly difficult for an analyst to extract meaningful knowledge from a sea of information. The authors present TweetXplorer, a system for analysts with little information about an event to gain knowledge through the use of effective visualization techniques. Using tweets collected during Hurricane Sandy as an example, they will lead the reader through a workflow that exhibits the functionality of the system.