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.
Lab sessions will largely use the open-source R and ggplot tools, though others will be featured as well.
We taught a much smaller version of this course back in 2014; as before, we guarantee that students taking this class will see a positive impact on evolutionary fitness.
Note: Topics and speakers may change through the term as we adjust our course plan.
|1||9/27/16||Introduction: data/ink, why graphs||Slides|
|1||9/29/16||LAB: R, basics of ggplot||01-intro_lab.html, 01-intro_lab.Rmd, 2016 ggplot Data Jamboree materials|
|2||10/4/16||Visual perception||Jackie's Slides | Steven's Slides||Cleveland & McGill 1984, Heer & Bostock 2010, Cleveland et al. 1982, Elliott 2016, Kosara 2016|
|2||10/6/16||LAB: How to tweak things in ggplot||02-ggplot-tweaks.html (Rmd), addm-since-2006.csv (citation)|
|3||10/13/16||LAB: Color palletes, save output (PDF/PNG/etc)||03-ggplot_colors.Rmd, 03-ggplot_colors.html, Steve's ggsave slides|
|4||10/18/16||Graphs||Jackie's Slides | Steven's Slides|
|4||10/20/16||LAB: visualizing distributions (box plots, etc.) & error bars||Weissgerber 2015, Krzywinski 2013, Krzywinski 2014|
|5||10/25/16||Fonts & Tables||Fonts | Tables|
|5||10/27/16||LAB: tidyr, pixidust||05-lab.Rmd, 05-lab.html; dplyr Babynames Drill|
|6||11/1/16||Maps||Slides||Gamio 2016, Cartonerd 2016, vis4 2016, Hennig 2016|
|7||11/8/16||Networks & Trees||Slides|
|7||11/10/16||LAB: Robin, Sci2||druker.cleaned.scopus|
|8||11/15/16||Multiple dimensions & Dimensionality Reduction||Slides||Sedlmair et al. 2012, Sedlmair et al. 2013, Brehmer et al. 2014|
|8||11/17/16||LAB: high dimensional data viz (heatmaps, parallel coords, etc.)||html, Rmd|
|9||11/22/16||Ted Laderas: Lecture and Lab combo||Git Repo|
|9||11/24/16||Thanksgiving - No Class|
|10||11/29/16||HW presentations; Copyright|
|11||12/6/16||Guest Lecture: Dr. Marie-Pierre Hasne, "Scientific Representations: A Philosophical Perspective"||Slides|
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.
Find two example visualizations (one positive, one negative) from your field; explain why you consider them to be positive or negative. Send your examples to Steven (with "[CS631]" in the subject line) by 10/6.
Pick a plot that you are currently working on, and discuss why you chose the current format, what tools you are using, and what motivated your choice of format and tool.
Note: there is no "right" or "wrong" answer for this! The purpose of this part of the assigment is to a) give you practice in thinking analytically about visualization, and b) help us learn about what your current visualization practice looks like so that we can tailor our labs and lectures accordingly.
Parts 1 and 2 should be completed by the start of business Monday, 10/10 (so that we have time to collate everybody's responses before class). Part 3 will be for class on 10/13.
Pick a journal from your field, and find their submission requirements for figures. Do they specify a file format? Raster vs. vector? Resolution? Colors?
In week 4's lab session on visualizing distributions, we began working with data from the article by Posid et al., but as we discovered, an hour wasn't nearly enough time to explore that data set. For this assignment, you will continue working with that data. Please prepare the following:
Find a map that predicts the election! Choose an interesting set of circumstances (e.g. if only Men voted); detail what those circumstances are. How was the data gathered, cleaned and filtered? Was the data manipulation ethically sound?
Discuss how the data was visualized. Did they use a choropleth map? Symbolic map? Was the representation ethically sound?
An investigator carried out a survey about parents' level of knowledge regarding a variety of disorders, stratified by ethnicity. She comes to you asking for help visualizing the data; while the data set is not particularly large, there are a several different variables at work.
In this assignment, you will develop a scientific question about this data, and then design & build a visualization that addresses that question. The first step (developing the question) is the most important, and will guide the second step. Note that this is real data, so please do not share it with others.
To complete this assignment, prepare three PowerPoint slides, following this structure:
In addition to your slides, please also include an Rmd file (if applicable) containing the code you used to generate your figure.
This assignment is due Tuesday, November 29. We hope to share your results with the original investigator, so please do your best work and try not to be late. :-)
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.
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