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