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  1. Seeing relationships between data sets: It should be easy for users to modify one aspect of the visualization and see the effects in realtime.
    1. Manipulation: This can include tasks like dragging and dropping, zooming, and panning, as well as change changing the method (e.g. web, map, graphic), which will allow the user to see information in the most efficient way.
    2. *Optimization: *This will allow the user to optimize and manipulate certain data given certain restraints.  It is similar to querying a database, but expressed in a more visual way.
    3. Realtime: The user should be able to change the values of one datapoint, and see how that effects the entire visualization in a meaningful way.  Our users have expressed a need for this to replace the tedious methods of querying and optimization that they currently use.
  2. Sharing and collaborating on visualizations: Analysts may want would like to be able to share their data and visualizations with superiors and co-workers as well as collaborate on certain projects.
    1. Collaborating: Users often need to annotate data, making notes both for themselves and to share with others. They will need the ability to insert text comments, highlight parts of the visualization, etc. We will be in communication with our representative users to pinpoint the features that will be most useful to them.
    2. Data Sharing: It should be easy for users to choose the source of data for a given visualization, as well as to share their data set with another user.
    3. Visualization Sharing: Users should be able to share their visualizations easily without having to export and import large amounts of information.