From CS294-10 Visualization Fa07
from Understanding Abnormal Behavior textbook
This visualizes the predicted results of a study of schizophrenia. I think the tree representation doesn't really make sense for this data since all they are trying to say is that people with schizophrenic mothers are more likely to have schizophrenia or other disorders.
The initial starting numbers are clean enough where the reader can get a sense of proportion, but displaying the bottom line percentages would have been clearer. This tree arrangement also has multiple redundant nodes seemingly for the sake of having the same number of rows in each case. These just slow down the reader with extra things to look at. The colors are used to separate the two groups but these are already spatially separated and they could have emphasized the more important distinction between those who develop schizophrenia and those who don't.
The two different experiment groups (nominal) are encoded using color and spacing of two different trees. Each node in the tree represents different possible conditions (nominal) of a person in the study. The number of people in each condition is is encoded by labeling each node (ratio). The hierarchy of the tree also encodes the relationship between conditions, that is, each node is a subset of the last.
 Fix 1
I think that this information is simple enough to present verbally.
In a study comparing the rate of schizophrenia and other mental disorders among children with schizophrenic mothers and those with non schizophrenic mothers, the former group was predicted to have a 50% percent chance of developing a mental disorder and a 15% chance of developing schizophrenia specifically. Those with non-schizophrenic mothers were predicted to have a 10% chance of developing a mental disorder.
 Fix 2
The key part of the data that the visualization needs to convey is that children with schizophrenic mothers are more likely to have mental disorders (deviation) than those with non schizophrenic mothers. I opted to use a pie chart, rather than modify the initial visualization, which I did not find to be an effective means of representing the data. The pie chart emphasizes the difference in likelihoods between the two groups.
The initial visualization used a tree structure to represent a very small number of relationships (max depth was 2). These were easy to maintain using labels, colors, and markers (e.g. an arc encompossing multiple slices of the pie chart). Since the visualization is meant only to represent the study hypothesis, and not the actual results, I decide to drop the exact values for people in each condition. This should shift the focus to the percentage of the condition.
from the Animator's Survival Kit
This visualization shows a run cycle using color and space to point out the symmetry between positions. The horizontal lines frame the head movement. The critical positions and key points are labeled to draw the readers attention.
Each step (nominal) is encoded diagrammatically. Category names of the important steps (nominal) are encoded via labels.The ordered steps for the walk cycle (ordinal) are encoded via position and labeling. Similarity between pairs of positions in the walk cycle is encoded using color, position (specifically adjacency), and arrows. For at least one step in each pair of steps arm motion is indicated with an arrow. Whether an appendage is foreground or background is indicated through the intensity/value within a color range.