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New textbook? #73
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Hey Dr. Soltoff,
I skimmed through this textbook, and I think that this textbook would be a
nice compliment to your Computing in the Social Sciences course since it
seems to be formatted in a similar manner and utilizes similar packages. I
believe that if the intention is for Data Viz to be the second course in a
progression or an introduction to R, this would be a useful tool. I
appreciate you sending this out. I have full intention of incorporating it
into my repertoire.
Thanks,
Brian
…On Wed, Sep 13, 2017 at 10:33 AM, Benjamin Soltoff ***@***.*** > wrote:
Data Visualization for Social Science: A practical introduction with R and
ggplot2 <http://socviz.co/>
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Hey Brian, Completely forgot all the previous students would get emails whenever I open an issue on the repo. Yeah, I'm thinking about how to redesign and improve the course next year. Saw this just posted on a blog somewhere and it looks really nice. Good complement to CFSS. Not sure how it will fit in the next iteration of the data viz course. I'm thinking about making it more of an extension of CFSS and dropping the D3 component. I'm not greatly skilled in D3, and CAPP is offering a new data viz course this fall which incorporates R, Adobe Illustrator, and D3 with a focus on visualization for policy analysis. I'd focus more on the science of visualization and cognition (which I found more interesting), keeping a lot of the Tufte et al material and refocusing the applied portion on designing statistical graphics using R. In case you're interested, I think we're bringing Alberto Cairo sometime around March to give a talk on visualization and fake data. Something to keep in mind if you're still in the city, it'll be free and open to the public. |
Hi Dr. Soltoff, I'd love to hear A. Cairo speak! Will the details be available online somewhere? Thanks, Nicole |
Sure thing! I'll post more details here once they're finalized. It will be part of his Visual Trumpery tour. |
Data Visualization for Social Science: A practical introduction with R and ggplot2
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