Information visualization examples



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Transcription:

Information visualization examples 350102: GenICT II 37

Information visualization examples 350102: GenICT II 38

Information visualization examples 350102: GenICT II 39

Information visualization examples 350102: GenICT II 40

Information visualization examples 350102: GenICT II 41

Information visualization examples 350102: GenICT II 42

2.3 Visual encoding in Python

Pygal Dynamic charting library for Python http://pygal.org 350102: GenICT II 44

Line Charts 350102: GenICT II 45

Line Charts 350102: GenICT II 46

Stacked Line Chart 350102: GenICT II 47

Bar Charts 350102: GenICT II 48

Pyramid Charts 350102: GenICT II 49

Pyramid Charts 350102: GenICT II 50

Dot Charts 350102: GenICT II 51

Boxplots 350102: GenICT II 52

Pie Charts 350102: GenICT II 53

Scatterplots 350102: GenICT II 54

Radar Charts 350102: GenICT II 55

World Maps 350102: GenICT II 56

3. Visualization Principles and Best Practices

Good and bad visualizations 350102: GenICT II 58

Good and bad visualizations 350102: GenICT II 59

Good and bad visualizations 350102: GenICT II 60

Good and bad visualizations 350102: GenICT II 61

Good and bad visualizations 350102: GenICT II 62

Good and bad visualizations 350102: GenICT II 63

Good and bad visualizations 350102: GenICT II 64

Good and bad visualizations 350102: GenICT II 65

Good and bad visualizations 350102: GenICT II 66

Good and bad visualizations 350102: GenICT II 67

Good and bad visualizations 350102: GenICT II 68

Good and bad visualizations 350102: GenICT II 69

Good and bad visualizations 350102: GenICT II 70

Good and bad visualizations 350102: GenICT II 71

Good and bad visualizations 350102: GenICT II 72

4. Visual encoding

Visual encoding We have seen that attributes may have different characteristics (numerical, ordered, categorical). Special attributes are time (temporal dimension) and geographical location (spatial dimensions) in case of spatiotemporal data. Entities are typically visually encoded by some kind of glyph. Glyphs vary with respect to position, size, shape, orientation, color, and texture. Visual encoding is the mapping of attributes of the entity to specifics of the glyph. 350102: GenICT II 74

Visual encoding The exact visual encoding of a data set depends on the number and characteristics of the available attributes and on the analysis tasks of the given application. Interaction mechanisms allow for switching between different attributes to allow for different views on the attributes and to fulfill different tasks. Still, there are guidelines for mapping attributes to visual cues. 350102: GenICT II 75

Visual cues color texture shape 350102: GenICT II 76

Guidelines location size color orientation texture shape geospatial time numerical (continuous) numerical (discrete) ordered categorical 350102: GenICT II 77

Perception One needs to consider that certain visual cues are more perceptionally relevant than others. Color is a pre-attentive feature that can be seen immediately. Location and size are also easy to perceive. Shape is more difficult to distinguish. Orientation and texture do not allow for detecting subtle changes easily. 350102: GenICT II 78