1. Obtain one of the data sets
available at the UCI Machine Learning Repository and apply as many of
the different visualization techniques described in the chapter as
possible. The bibliographic notes and book Web site provide pointers to
2. Identify at least two advantages and two disadvantages of using color to visually represent information.
What are the arrangement issues that arise with respect to three-dimensional plots?
Discuss the advantages and disadvantages of using sampling to
reduce the number of data objects that need to be displayed. Would
simple random sampling (without replacement) be a good approach to
sampling? Why or why not?
Describe how you would create visualizations to display information that de-scribes the following types of systems.
a) Computer networks. Be sure to include both the static aspects of
the network, such as connectivity, and the dynamic aspects, such as
b) The distribution of speciﬁc plant and animal species around the world fora speciﬁc moment in time.
c) The use of computer resources, such as processor time, main memory, and disk, for a set of benchmark database programs.
d) The change in occupation of workers in a particular country over
the last thirty years. Assume that you have yearly information about
each person that also includes gender and level of education.
Be sure to address the following issues:
· Representation. How will you map objects, attributes, and relation-ships to visual elements?
· Arrangement. Are there any special considerations
that need to be taken into account with respect to how visual elements
are displayed? Speciﬁc examples might be the choice of viewpoint, the
use of transparency, or the separation of certain groups of objects.
· Selection. How will you handle a large number of attributes and data objects
6. Describe one advantage and one disadvantage of a stem and leaf plot with respect to a standard histogram.
7. How might you address the problem that a histogram depends on the number and location of the bins?
8. Describe how a box plot can give information about whether the
value of an attribute is symmetrically distributed. What can you say
about the symmetry of the distributions of the attributes shown in
9. Compare sepal length, sepal width, petal length, and petal width, using Figure3.12.
10. Comment on the use of a box plot to explore a data set with four attributes: age, weight, height, and income.
11. Give a possible explanation as to why most of the values of petal
length and width fall in the buckets along the diagonal in Figure 3.9.
12. Use Figures 3.14 and 3.15 to identify a characteristic shared by the petal width and petal length attributes.
13. Simple line plots, such as that displayed in Figure 2.12 on page
56, which shows two time series, can be used to eﬀectively display
high-dimensional data. For example, in Figure 2.12 it is easy to tell
that the frequencies of the two time series are diﬀerent. What
characteristic of time series allows the eﬀective visualization of
14. Describe the types of situations that produce sparse or dense
data cubes. Illustrate with examples other than those used in the book.
15. How might you extend the notion of multidimensional data analysis
so that the target variable is a qualitative variable? In other words,
what sorts of summary statistics or data visualizations would be of
16. Construct a data cube from Table 3.14. Is this a dense or sparse
data cube? If it is sparse, identify the cells that are empty.
17. Discuss the diﬀerences between dimensionality reduction based on
aggregation and dimensionality reduction based on techniques such as PCA