Weeks 4&5 QA
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School
Grand Valley State University *
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Course
671
Subject
Information Systems
Date
Dec 6, 2023
Type
docx
Pages
3
Uploaded by BrigadierFerret3904
Weeks 4 & 5 QA
1.
What is the transparency strategy for displaying massive data sets? Is
it a "good" strategy? Why or why not?
Transparency displays the overview directly on top of the focus. It is
not a good strategy because overlapping scales and information
result in confusing images.
2.
Compare and contrast F+C and O+D
F+C (Federated Learning + Centralized Model):
Centralized model on a central server.
Preserves data privacy as raw data stays on clients.
Scalable for many clients but needs significant server resources.
Communication overhead due to frequent model updates.
O+D (Orchestrated + Decentralized Model):
Decentralized models with no single central model.
Privacy concerns may exist depending on model coordination.
Highly scalable, especially for many decentralized models.
Communication overhead for model coordination.
3.
Describe what it means to use the “chainsaw” method.
Remove rows or columns of data when giving an overview to make
the data easier to see and clearer to interpret.
4.
Name three different strategies for navigation when using very large
datasets.
Chainsaw, Hammer, Combine
5.
What is the difference between a zooming approach and a overview &
detail approach for navigation? What are the advantages &
disadvantages of each approach?
In zooming, you have just one window (or screen) of information at
any time. You are able to get detailed information by zooming in and
overview information by zooming out. Since you can't zoom in and
out at the same time, you can only view either detail or overview
information at any time. With an overview & detail approach, you
will have two windows (or screens). One of the windows provides an
overview while the other provides the detail information. The
advantage is that you get to view both at the same time, but each
of your windows must be smaller to fit on your viewing window.
6.
What would be a useful strategy to reduce data quantity?
Reduce the amount of data shown. Leave the data that is critical to
analysis and remove the rest.
7.
What’s not a con of the ‘Zooming’ navigation approach? A Context is
lost when zooming in. B Users can get lost. C Moving long distances
can be tedious. D Zooming in too far can crash certain systems.
D
8.
What are some pros and cons of the Focus and Context navigation
approaches?
Pros:
Enhanced understanding of data.
Maintains contextual awareness.
Reduces cognitive load.
Efficient navigation in complex datasets.
Facilitates better decision-making, especially for multiscale data.
Cons:
Can lead to visual clutter.
May have a learning curve.
Limited screen space can be a constraint.
Implementing interactivity can be complex.
Performance issues with large datasets.
Requires careful design and may be subjective in determining detail
levels.
Not suitable for all types of data or applications.
9.
Define the "Keyhole Problem" and give a method of addressing it.
The Keyhole Problem is the issue of being stuck "zoomed into" the
data set and losing perspective along with having no ability to look
for patterns or even what you can look for. Using an overview, we
can get a high level view of the data that allows us to intuitively
recognize patterns or trends still have the ability to drill down into
the details we need, if we desire to do so.
10.
Which of the following is not an approach for scaling a large
dataset?
Chainsaw Screwdriver Combine Hammer
Pair the navigation strategy with its description.
A) Detail Only 1) detail within overview
B) Zooming 2) detail next to overview
C) Overview + Detail 3) detail on top of overview
D) Focus + Context 4) detail without overview
E) Transparency 5) detail or overview
A-4 B-5 C-2 D-1 E-3
11.
What are three ways to create an overview when there are too
many data points to fit on one screen?
1. Use the hammer method by reducing the visual representation to
something small that can be clicked on for more detail, 2. Use the
chainsaw method by reducing the number of rows and columns by
eliminating ones that are unnecessary to the visualization, or 3. use
the combine method by reducing the number of rows and columns
by aggregating them.
12.
Name a pro and con of zooming.
Can navigate large datasets but may get lost in the details without
context.
13.
T/F: Focus and Context are synonymous.
False - Context is the bigger picture whereas focus is the detail
found within the context.
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