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The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
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DIEL: Interactive Visualization Beyond the Here and Now.

Yifan Wu, Remco Chang, Joseph M Hellerstein

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    This summary is machine-generated.

    DIEL simplifies complex interactive visualizations by declaratively handling asynchronous events and distributed data. This framework reduces developer effort by automating low-level system details for dynamic data applications.

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    Area of Science:

    • Computer Science
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Interactive visualization research traditionally focuses on local data and synchronous events.
    • Developing visualizations for remote databases and streaming data involves complex, low-level programming of asynchronous operations.
    • Existing methods contrast with modern declarative approaches for browser-based visualizations.

    Purpose of the Study:

    • Introduce DIEL, a declarative framework to simplify the creation of interactive visualizations with distributed data and asynchronous events.
    • Enable developers to specify desired data and event handling without procedural programming of low-level details.
    • Address the challenges of constructing complex, data-intensive interactive visualizations.

    Main Methods:

    • DIEL models asynchronous events as data streams captured in event logs.
    • Developers write declarative queries over data and event logs to define visualization states.
    • DIEL compiles queries into optimized dataflow graphs and generates low-level distributed systems code.

    Main Results:

    • Demonstrated DIEL's performance and expressivity with example visualizations using remote and streaming data.
    • Evaluated DIEL's usability using the Cognitive Dimensions of Notations framework.
    • Identified ease of change as a key usability win, alongside premature commitments as a compromise.

    Conclusions:

    • DIEL effectively supports asynchronous events over distributed data for interactive visualizations.
    • The declarative approach streamlines development for complex data scenarios.
    • Usability evaluation highlights DIEL's strengths and areas for future improvement.