B.3 Data and information visualisation Flashcards

Identify effective visualisation methods for knowledge discovery and the representation of information.

1
Q

What is data visualisation?

A

The creation and study of the visual representation of data.

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2
Q

What is the main aim of visualisation in health informatics?

A

To assist with the discovery of patterns or to communicate data, information, and/or knowledge clearly and effectively.

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3
Q

True or False: Visualisation can easily be done incorrectly.

A

True

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4
Q

What is crucial for effective visualisation?

A

User perception and enhancing their understanding.

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5
Q

According to Few, what must be followed to visualise data effectively?

A

Design principles derived from an understanding of human perception.

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6
Q

List five questions to assess data visualisation effectiveness according to the Interaction Design Foundation.

A
  • Indicate how data values relate to one another?
  • Represent the quantities involved accurately?
  • Make it easy to compare these quantities?
  • Make it easy to see a ranked order of values?
  • Make obvious how the information should be used?
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7
Q

What percentage of deaths in Australia were accounted for by the 20 leading causes in 2011?

A

Around two-thirds.

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8
Q

Fill in the blank: A pie chart provides a sense that the data represents the _______.

A

[proportions of a whole]

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9
Q

What is a major disadvantage of pie charts?

A

Requires continual crossover between the chart and a legend.

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10
Q

What is a pro of vertical bar charts?

A

More easily read in terms of relative values.

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11
Q

What is a con of horizontal bar charts?

A

Dominated by unusable data.

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12
Q

What is the purpose of modified horizontal bar charts?

A

To focus attention on the most important causes and represent proportions clearly.

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13
Q

Who are the two groups of actors involved in data visualisation?

A
  • Designers of visualisations
  • Consumers of visualisations
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14
Q

What are the objects involved in data visualisation?

A

The concepts, data, information, and knowledge being visualised.

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15
Q

What should be defined when creating a data visualisation?

A

The goals and objectives of the specific visualisation.

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16
Q

What consideration must be made regarding consumers of visualisation?

A

Different categories of consumers may perceive information differently.

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17
Q

List three key considerations when understanding the object of visualisation.

A
  • Is it encodable?
  • What are the important dimensions?
  • What will be the role of position?
18
Q

What are some tools of visual representation?

A
  • Position
  • Length
  • Angle
  • Slope
  • Area
  • Volume
  • Density
  • Colour saturation
  • Texture
  • Connection
  • Containment
  • Shape
  • Similarity
  • Proximity
19
Q

What does Gestalt Theory suggest about perception?

A

The brain can understand parts through the lens of the whole.

20
Q

List the constructs of Gestalt Theory.

A
  • Proximity
  • Similarity
  • Closing
  • Simplicity
  • Continuity
  • Figure/background
21
Q

Fill in the blank: Vertical predominance indicates that a vertical line can look _______ than a horizontal line.

22
Q

What is a key concept in human visual perception?

A

Shape and space perception.

23
Q

What is an example of how overlapping affects perception?

A

An object partially overlapped by another is perceived as more distant.

24
Q

What does the HSL model examine?

A

Colour in three different dimensions.

25
Q

What happens to an object that is partially overlapped by another?

A

It is perceived as more distant.

26
Q

How does size influence perception between two objects?

A

The biggest object seems closer.

27
Q

What does relative clarity imply in perception?

A

The clearest object seems nearer.

28
Q

What is linear perspective in terms of object size perception?

A

Objects of the same size can appear of different sizes, and vice versa.

29
Q

What are the three dimensions examined by the HSL model of colour?

A
  • Hue
  • Saturation
  • Luminance
30
Q

What does hue refer to in the context of colour?

A

What most people think of as colour – reds, blues, yellows, etc.

31
Q

What does saturation refer to in colour?

A

Intensity of colour; high saturation means less grey and brighter appearance.

32
Q

What does luminance represent in colour?

A

How much white or black features in a colour; higher luminance means brighter colour.

33
Q

What is the maximum and minimum saturation in terms of grey?

A

Zero saturation is maximum grey; maximum saturation has no grey.

34
Q

What is the maximum and minimum luminance in terms of black and white?

A

Zero luminance is black; maximum luminance is white.

35
Q

What is the guideline regarding the use of colour in data visualisation?

A

“Use colour when you should, not when you can.”

36
Q

Why should the number of colours in a chart be used sparingly?

A

Too much colour can overwhelm the viewer.

37
Q

What type of colours should be used for unrelated data in charts?

A

Categorical colours.

38
Q

How should variations in luminance be used in data visualisation?

A

To highlight differences in related data.

39
Q

What can vary the type of chart substitute for?

A

The use of colours.

40
Q

Why should variations in background colour be minimised?

A

Human perception of colour is relative to the object’s surroundings.