Interactive visualizations toolkit for rip
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Interactive VisualiZations Toolkit for RIP PowerPoint PPT Presentation


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Interactive VisualiZations Toolkit for RIP. By : Tim de Boer and Kim Verkooij. Definition: Interactive VisualiZation Toolkit. Toolkit: a  set of tools designed to be used together or for a  particular purpose

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Interactive VisualiZations Toolkit for RIP

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Interactive visualizations toolkit for rip

Interactive VisualiZations Toolkit for RIP

By: Tim de Boer and Kim Verkooij


Definition interactive visualization toolkit

Definition: Interactive VisualiZation Toolkit

  • Toolkit:

  • a set of tools designed to be used together or for a particular purpose

  • For a visualization to be considered interactive it must satisfy two criteria:

  • Human input: control of some aspect of the visual representation of information, or of the information being represented, must be available to a human, and

  • Response time: changes made by the human must be incorporated into the visualization in a timely manner. In general, interactive visualization is considered a soft real-time task.


Introduction

Introduction

  • Problem statement

  • Research question

    What makes a Interactive Visualization Toolkit applicable for the development of visualizations for Rich Internet Publications?

  • Scientificcontribition

    Identification of features for IVT

  • Practical contribution

    • Help scolarschoose a toolkit

    • Hand IVT developers a roadmapto get optimizedfor RIP


Method

Method


Visual dimension

Visual dimension

  • Amount of graphics

  • Configureable


Rip compatibility dimension

RIP compatibilitydimension

  • Browser in-dependency

  • Device in-dependency

  • Sustainable repository

  • Interoperability

  • Web publishing


Interactive dimension

Interactive Dimension

  • Supported information actions

    • History

    • Zoom

    • Details-on-demand

    • Filter

    • Overview

    • Relate

    • Extract

  • Intuitive


  • Scientific dimension

    ScientificDimension

    • Reproduce and reuse of data

    • Annotation data points

    • Discussion

    • Statistical calculations

    • Static export options


    Dimension ease of development

    dimension: Ease of development

    • Skills needed

    • Time needed

    • Cost of toolkit


    Validation checklist

    Validation Checklist


    Comparison

    Comparison


    Running examples

    Running examples

    http://public.tableausoftware.com/views/test_39/Dashboard1

    http://dygraphs.com/

    http://netflixpivot.cloudapp.net/


    Discussion

    Discussion


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