This course will give students a foundation in the principles and practice of data visualization, particularly as applied to scientific and technical data.
We will have weekly lectures, covering a wide variety of topics including human perception, color theory, principles of visual design, etc. We will also have weekly hands-on laboratory sessions in which students will have the opportunity to put the lecture material into practice. This year, we will be adding additional emphasis on larger issues of scientific communication— after all, that’s one of the main reasons we make visualizations!
This is a demo course website created for an RStudio Education webinar by Alison Hill and Desirée De Leon.
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Last updated: 2020-03-31
We meet twice a week, alternating lectures on Mondays and labs on Wednesdays. Lab sessions will largely use the open-source R and ggplot2 tools.
Online, all the time
Mondays, 12:00 – 13:30
Wednesdays, 12:00 – 13:30
There will be regular homework assignments, typically as part of lab sessions. There will also be a final term project; more details about which will be forthcoming.
We will be drawing material from a wide variety of sources for this course; as such, there is no single, required text book per se. However, we will frequently refer to Nathan Yau’s Data Points, and highly recommend that anybody taking this class have a copy. Additionally, many lab sessions and some assignments will use exercises from Nathan Yau’s Visualize This. Tamara Munzer’s Visualization Analysis and Design is also incredibly useful.
Our program is committed to all students achieving their potential. If you have a disability or think you may have a disability (physical, learning, hearing, vision, psychological) which may need a reasonable accommodation please contact Student Access at (503) 494-0082 or e-mail email@example.com to discuss your needs. You can also find more information at http://www.ohsu.edu/student-access. Because accommodations can take time to implement, it is important to have this discussion as soon as possible. All information regarding a student’s disability is kept in accordance with relevant state and federal laws.
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