cs5764: Information Visualization
Homework #1: Visualization Tools
The goal of this homework is to experience and practice the use of visualization
tools, accustom yourself to seeing data in new ways, discover something
new in a data set, and think critically about visualizations.
Your assignment is to find some interesting data, explore it using some
visualization tools, and write a short report. This is an individual
assignment.
Data: Find some data of interest to you. The data
should be large and complex enough that visualization is needed.
It should have at least 500 items and at least 5 attributes. Here
are some data ideas:
- census data (census.gov)
- stock market data
- sports data
Visualization: Now, examine your data using Microsoft Excel and
any 2 of the
visualization tools below. Each
tool has documentation about its data format and user manual. Each tool is
also described by papers in the reading list. Excel is
helpful for manipulating your data into the right format. The
visualization tools are installed on the machines in McBryde 104c, and some are
downloadable for free. The tools you may choose from are:
-
Spotfire: McB 104c
-
Table Lens (Eureka by Inxight): McB 104c
-
Parallel Coordinates (part of XmdvTool): McB 104c or download
-
Star Coordinates: McB 104c
Report: Write a 2 page report (2 page maximum!) about your data findings and about
the visualization tools you used. You should specifically answer these 3
questions:
- What is your data? e.g. what is it about, what are the attributes
(columns), how many rows & columns. Very brief!
- Data findings: List 3 interesting, non-trivial findings in your
data. e.g. Did you find answers to any questions you had about the data? What relationships
exist in the data? Anything surprising? You must convince me
of your findings. Use pictures to show your claims (e.g. screenshots
of visualizations -- Alt-PrintScrn captures a screenshot that can be pasted
into word processors).
- Compare and critique: List 4 key non-trivial differences between the
tools. e.g. Which visualizations enabled you answer which questions
better and why? What are the strengths, weaknesses, tradeoffs between
the tools? e.g. scalability in rows and columns. Focus your
comparison on the primary visualization techniques themselves, not the other
details of the user interfaces of these specific implementations. This
section is important and should take apx a full page.
What to hand in:
-
Print your report and bring to class, Fri Sept 6.
Access:
- Purvi will be in McB 104c during 4-7pm every day through thurs sept 5.
- Please note that Mcb 104c may also be open during the day, but is locked
and inaccessible otherwise. So dont wait until the last minute.
- Please be careful with equipment in 104c, and leave everything as you
found it.