Vis for Journalists Fall 2015 Lab/Assignment 2
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Out: Sep 22 2015, 9am. Due: Sep 29 2015, 9am
Development Aid Dataset
The use of visualization is pervasive in the media: explanatory diagrams in magazines and textbooks, graphs describing statistics and budgets, images showing spatial layouts of objects, new experimental data plotted against theoretical expectations, etc. In each case, the author of the visualization tries to convey a point of view by emphasizing some aspects of the data while toning down other aspects. The result can vary widely, from informative to misleading. How do you fare given such a task? Can you apply the design principles we talked about in class?
In this assignment, you will design a visualization for a data set and provide a rigorous rationale for your design choices. The data set summarizes debt relief efforts by various countries. The money is split into administrative costs, spending on students in the donor country, spending on refugees in the donor country, spending development awareness in the donor country, and actual debt relief.
Helping third-world countries effectively is a tricky business. The article asks
"So how much aid reaches developing countries? A number of groups have over the years tried to chip away at this critical, multibillion-pound question, but so far the answer has remained elusive."
Your task is to design two static
(non-interactive) visualizations using Tableau that you believe effectively
communicates this data with respect to two aspects that seem to be
important to you.
Storytelling with Your Choice of Dataset
You will now tell a story using a dataset of your choice from the
set below. Pick
the data that is most interesting to you and that you believe will
allow you to tell a good story. Load the data into Tableau and explore
it. Create several worksheets to explore your data and keep track of
the questions that you come up with.
Your goal is to create several visualizations that answer at least
three interesting questions. Pick your visualization types based on
the kinds of questions you are answering, as discussed in the Tasks
section (for example comparison, trend, distribution, correlation, and
so on). Pay attention to whether your visual encodings are effective.
For each dataset, provide a write-up describing your design and your findings.
As different visualizations can emphasize different aspects of a data set, you should document what aspects of the data you are attempting to most effectively communicate. In short, what story (or stories) are you trying to tell? Just as important, also note which aspects of the data might be obscured or down-played due to your visualization design.
In your write-ups, you should also provide a rigorous rationale for your
design decisions. Document the visual encoding you used to spatially
arrange the data and that choice is appropriate for the data. How did your decision facilitate effective communication?
Try to apply the design principles discussed in class so far.
include one paragraph about the process you used to do the exploration
and analysis in Tableau. Did anything limit or frustrate you? If
nothing did, perhaps there was something that was more difficult than
you thought it should be.
Note that understanding the data and designing the visualization may take some
time, so plan accordingly.
Submit a document in PDF format, where your text writeup is illustrated
by screenshot images of all of the visualization that you created. An
informal style is fine, but correct grammar and spelling are required.
Send by email to firstname.lastname@example.org by 9am Tue Sep 22, with subject "JOURN
Credits: Part one of this assignment is based on Robert
Kosara's demo and a datablog article from The Guardian. Part two is largely based on an assignment from Hanspeter Pfister's Vis course.
Last modified: Tue Feb 16 18:45:15 PST 2016