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Modelling Information

Visualising research data outcomes using models helps identify patterns and better understand information. Explore linear, circular, Spider, Venn diagrams, matrices, and maps to enhance data representation. Discover various techniques for effective data visualisation.

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Modelling Information

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  1. Modelling Information Research Models

  2. Visualising the outcomes of research data enables the patterns identified to be more easily and better understood Try it out Right is a model of research that investigated an existing intranet system. What is this diagram/model telling you? Research models What is disliked What is liked What is used What is unused What is wanted What is known What is unknown Intranet Investigation

  3. Linear Process Flow Linear flow • Shows how a process unfolds over time • Linear flows are good for showing designers where problems exist in a process Step 1 Step 2 Step 3

  4. Circular Process Flow Circular Flow • Show how a process repeats itself in a loop

  5. Spider Diagram Shows connections between data points A piece of data is placed in the centre of a diagram and other data radiates from it IDEA IDEA IDEA IDEA idea idea idea Spider Diagram MAIN IDEA

  6. Venn Diagram Venn Diagrams • Use overlappng circles to show relationships and sets Set Set Set Set

  7. 2 x 2 matrix Shows the relationship between data based on where the data points fall on two axes The two axes separate data into four quadrants based on two simple variables item item item item 2 x 2 Matrix High Left Right Low

  8. Maps Show spatial relationships Often data will suggest the correct way to display it item Maps North item item item item item

  9. For more ideas on how to visualise data see: From Visual Literacy.org, this periodic table of visualisation methods identifies 6 different types of visualisation techniques: data information concept strategy metaphor Compound Rolling over each technique after the table loads will enable you to see an example of the diagram used More Resources Source: http://www.visual-literacy.org/periodic_table/periodic_table.html

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