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Assignment #5: Experimenting with Color
The task for this week is to experiment with color for
visualization a single dataset. After selecting a dataset and a
general visualization style, generate a large collection of plots,
using a variety of different color and texture schemes. For example:
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Shades of grey
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Black & white
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Light vs. dark background
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Colorblind aware (e.g., red/green)
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Many colors: cool vs. warm tones, etc.
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etc.
For each plot, spend a bit of time tuning the visualization to make
the data as clear as possible to facilitate data analysis. For each
plot, write a paragraph analyzing the effectiveness of the
visualization. Also compare the visualizations to each other with
respect to the overall motivation and target audience of the
visualization.
If you haven't already used 2 new (to you!) visualization toolkits
this semester, you are highly encouraged to also try out something
new.
Target Visualization Stage: Visualization Revision
(primary), and Design & Presentation (secondary)
How to Submit
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First, make a post to the LMS discussion. The post should include a
description of the data, the collection & parsing & organizing
process, the visualization design, the visualization toolkit used, the
identified challenges in work with high dimensional data, and the
steps prepare this data for a reduced dimension visualization. The
post should include images/links with the visualization results.
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Separately, each student should zip & upload the same
material PLUS a plaintext README.txt
(using the provided template) and any source code you wrote to the
homework server. (You do not need to submit a complete buildable
software project, just submit source code/scripts you wrote). Do not
try to submit the dataset! But include a small sample of the data as
appropriate in your writeup.
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