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Requirement

    Data

      Solution

        Typologies

        During our coding process for our process, we iteractively refined existing typologies to derive typologies of requirement, data, and solution for visual analytics.

        Requirement Typology
        A) Analytical B) Functional
        Spec/#Pops Explore Describe Explain Confirm Interactivity Ensuring Data Quality
        Single Discover Observation Describe Observation(Item) Identify Main Cause(Item) Collect Evidence Knowledge Injection Parameter Setting
        Describe Observation(Aggregate) Identify Main Cause(Aggregate) Sharing Findings Modeling & Enhancement
        Multiple Compare Entities Explain Differences Evaluate Hypothesis Data Filtering Flexibility & Scalability
        Data Typology
        A) Dataset Types B) Expanded Dataset Types
        Tables Networks
        & Trees        		 Fields Geometry Cluster,
        Sets,Lists        		 Text Temporal Media Parameter
        Data
        Types        		 Items Items(nodes) Grids -
        Posotions        		 Items Items Item Item Item Item
        Attributes Links Positions Attributes
        Attributes Attributes
        Attribute Types Ordering Direction
        Categorial Ordered Ordered Diverging Cyclic
        Ordinal Quantitative
        Solution Typology
        A) Data Manipulation B) Visualization
        Eff\Rec Augment Reduce Search Modify Composite
        Item Real-Time
        Input        		 Excluding Retrieval Rectification Juxtaposition Overlay Nesting
        User Input Sampling Similarity
        Calculation        		 Parameter
        Tuning        		 Similar Unsimilar Coordinate
        System-related        		 Coordinate
        system-unrelated        		 Nesting
        Nonsymmetrical Symmetrical Continuous Sharing Providing With connections W/O connections
        Dimension Algorithmic
        Calculation        		 Dimensionality
        Reduction        		 Explainability Wrangling Repetition Mirror Stack Co-axis Coordinate Annotation Large panel
        Non-composite
        Modeling Feasure
        Selection        		 With layout Without layout
        Clustering
        & Grouping        		 Aligned Flexible Basics
        C) Interaction
        Filtering Selecting Abstract/
        Elaborate        		 Overview and
        Explore        		 Connect/
        Relate        		 Reconfigure Encode History Extraction of
        features        		 Participantion/
        Collaboration        		 Gamification