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IT 242 Information Visualization Fall 2017 Exam 2 Page Thursday, December 7, 2017 Name _____________________________ 1. True/false. [25 pts] ______ Presentation considers how to interactively display a large visualization on a device smaller than the image. ______ Representation is the mapping of visual elements for the dataset. ______ Scrolling is an approach to representation of the visual and maps to an attribute. ______ Panning allows the user to interactively zoom into a visualization for more detail. ______ Zooming can display more or less detail, working through natural hierarchies in the data. ______ When zooming out on an image or data, less detail is displayed but no new information is seen. ______ Overview+detail approach to a visual considers the detail in context of larger views. ______ Insets to a map that are disconnected to the larger view is acceptable in the overview+detail approach. ______ Selecting when interacting prepares elements of a visual for later operations such as highlighting or deleting. ______ A menu is a form of stepped interaction. ______ Exploratory interaction is when you know what you are looking for. ______ Opportunistic interaction is form of browsing. ______ Minard’s map of Napoleon’s march to Moscow is an example of a static display. ______ Research shows that a visual menu system of many choices enables the user to find goals faster. ______ A data-ink ratio close to 1 indicates that much can be erased from a graphic without information loss. ______ Graphics in portrait or landscape orientation tend to be preferred with about a 1:2 ratio length by width.

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IT 242Information Visualization Fall 2017 Exam 2Page 1

Thursday, December 7, 2017

Name _____________________________

1. True/false.

[25 pts]

______ Presentation considers how to interactively display a large visualization on a device smaller than the image.

______ Representation is the mapping of visual elements for the dataset.

______ Scrolling is an approach to representation of the visual and maps to an attribute.

______ Panning allows the user to interactively zoom into a visualization for more detail.

______ Zooming can display more or less detail, working through natural hierarchies in the data.

______ When zooming out on an image or data, less detail is displayed but no new information is seen.

______ Overview+detail approach to a visual considers the detail in context of larger views.

______ Insets to a map that are disconnected to the larger view is acceptable in the overview+detail approach.

______ Selecting when interacting prepares elements of a visual for later operations such as highlighting or deleting.

______ A menu is a form of stepped interaction.

______ Exploratory interaction is when you know what you are looking for.

______ Opportunistic interaction is form of browsing.

______ Minard’s map of Napoleon’s march to Moscow is an example of a static display.

______ Research shows that a visual menu system of many choices enables the user to find goals faster.

______ A data-ink ratio close to 1 indicates that much can be erased from a graphic without information loss.

______ Graphics in portrait or landscape orientation tend to be preferred with about a 1:2 ratio length by width.

______ Multiple circles on a graph convey quantities fairly when the values represented are mapped to the diameter.

______ Graphics with an independent attribute (e.g. time) should have the independent values along the vertical axis.

______ Serif fonts (like this test’s font) are the preferred type font for printed labeling.

______ Never clutter the graph with short explanations; place them in the narrative instead.

______ Green shades are bad to use for those with color blindness.

______ A moiré vibration is a desirable technique because it draws attention to a graphic for study.

______ A graphic should be limited to what is seen either at a distance or drilled down details, but not both.

______ Wordle visualizations are based on the length of a word.

______ A Venn Diagram can easily be extended to show the relationships across 4 or more dimensions.

2. Draw a tree map in the box of the hierarchy on the right. Assume sibling nodes have equal weight.

[5 pts]

3. How is a word cloud constructed? If you had more control of word cloud construction, suggest how the visualization attributes of the word cloud (color, size, direction) be mapped to data from the input text?

[6 pts]

We described the “Term Frequency-Inverse Document Frequency” matrix for a corpus. What does a zero entry for a word and document mean? What does a non-zero entry mean? A higher value means what? [4 pts]

4. Discuss why area and volume are not good choices to visualize magnitude?

[5 pts]

5. Describe 4 design issues with the above bar graph visualization. Assume the 16 widgets are truly named otherwise.

[10 pts]

a.

b.

c.

d.

Suggest a different visualization for this data. That is, how can we present these 3 attributes more accurately and completely? You might consider sparklines.

6. Draw a directed graph (lines have arrowheads) of these 5 nodes from the following adjacency matrix. Nodes on the left relate to those nodes across the top.

[10 pts]

Now convert the above adjacency matrix to a set of adjacency lists

a: _____________

b: _____________

c: _______________

d: _______________

e: _______________

7. Consider the following RadViz diagram on automobile data.

[10 pts]

a. Give a detailed interpretation of the blue dot closest to the edge near 9:00 o’clock in terms of the 6 attributes.

b. Do the same for grayish dot closest to the edge near 4:30 in term of the 6 attributes.

c. What trends are revealed here?

8. Consider the following choropleth visualizations.

[5 pts]

Describe the population density for the top left area as well as the bottom center area.

9. Interpret the following visualization as daily temperature (in C) for a city in Germany. How many years are shown? What is the big picture? What other localized trends are there? If the first data point is January 1, 2010, what was the temperature on July 4, 2012?

[10 pts]

10. Interpret this parallel coordinates plot for the automobile data. What relationships are revealed? What are its problems?

[5 pts]

11. Describe 3 design issues of this visualization below.

[5 pts]

A

B

C

D

E

F

E

G

A

B

C

D

E

F

E

G