Statistical Graphics and Visualization course materials

深碍√TFBOYSˉ_ 2022-08-09 16:52 10阅读 0赞

October 28, 2015

By  [civilstat][]

(This article was first published on  **[Civil Statistician » R][Civil Statistician _ R]**, and kindly contributed to  [R-bloggers)][R-bloggers]

I’ve just finished teaching the Fall 2015 session of 36-721, Statistical Graphics and Visualization. [Again][], it is a half-semester course designed primarily for students in the [MSP program][] (Masters of Statistical Practice) in the [CMU statistics department][]. I’m pleased that we also had a large number of students from other departments taking this as an elective.

For software we used mostly R (base graphics, ggplot2, and Shiny). But we also spent some time on Tableau, Inkscape, D3, and GGobi.

We covered a LOT of ground. At each point I tried to hammer home the importance of legible, comprehensible graphics that respect human visual perception.

[![Pie chart with remake][]][Pie chart with remake 1]

Remaking pie charts is a rite of passage for statistical graphics students

My course materials are below. Not all the slides are designed to stand alone, but I have no time to remake them right now. I’ll post some reflections separately.

Download [all materials as a ZIP file (38 MB)][all materials as a ZIP file _38 MB], or browse individual files:

*  [Syllabus][] and [Suggested Readings list][]; our required texts were Cairo’s [The Functional Art][] and Donahue’s [Fundamental Statistical Concepts in Presenting Data][]
 *  **Homeworks:**
    
     *  [HW1 Legible Graphics][]
     *  [HW2 Visual Perception][], [dataviz to critique][], [reduced dataset][], [full dataset][]
     *  [HW3 Grammar of Graphics][]
     *  [Critique][], [submission form][]
 *  **Projects:**
    
     *  [P1 Graphic Design][]
     *  [P2 Interaction Design][]
     *  [P3 Research][]
     *  [Project Ideas list][], [Rdata version of Haiti dataset][]
 *  **Lectures:**
    
     *  01 Introduction [slides][]
     *  02 Legible Graphics [slides][slides 1], [R code][], [R output][],[addendum][]
     *  03 Visual Perception [slides][slides 2], [R code][R code 1], [R output][R output 1]
     *  04 Grammar of Graphics [slides][slides 3], [R code][R code 2], [R output][R output 2]
     *  05 Graphic Design [slides][slides 4], example component graphs ([STEM][], [NonSTEM][], [Business][]) and [layout][]
     *  06 Interaction Design [slides][slides 5], [Shiny code and data][], [D3 code and data][]
     *  07 Visualization Research [slides][slides 6]
     *  08 Shiny Lab Session [slides][slides 7]
     *  09 Graphics for Statistical Analysis [slides][slides 8], [R code][R code 3],[R output][R output 3], data ([tips][], [ganglion][])
     *  10 Mapping [slides][slides 9], [R code][R code 4], [R output][R output 4], data ([MT][], [PA][],[USA][])
     *  11 High-Dimensional Data [slides][slides 10]
     *  12 Networks and Trees [slides][slides 11]
     *  13 Wrap-up [slides][slides 12], [R code][R code 5], [R output][R output 5]
     *  [NHANES extract dataset][] used in several lectures

Please note:

*  The examples, papers, blogs and researchers linked here are just scratching the surface. I meant no offense to anyone left out. I’ve simply tried to link to blogs, Twitter, and researchers’ websites that are actively updated.
 *  I have tried my best to include attribution, citations, and links for all images (besides my own) in the lecture slides. Same for datasets in the R code. Wherever I use scans from a book, I have contacted the authors and do so with their approval (Alberto Cairo, Di Cook, Mark Monmonier, Colin Ware, & Robin Williams). However, if you are the creator or copyright holder of any images here and want them removed or the attribution revised, please let me know and I will comply.
 *  Most of the cited books have an Amazon Associates link. If you follow these links and buy something during that visit, I get a small advertising fee (in the form of an Amazon gift card). Each year so far, these fees have totaled under $100 a year. I just spend it on more dataviz books ![:)][simple-smile.png_w_456]

[civilstat]: http://www.r-bloggers.com/author/civilstat/
[Civil Statistician _ R]: http://civilstat.com/2015/10/statistical-graphics-and-visualization-course-materials/
[R-bloggers]: http://www.r-bloggers.com/
[Again]: http://civilstat.com/2015/08/about-to-teach-statistical-graphics-and-visualization-course-at-cmu/
[MSP program]: http://www.stat.cmu.edu/academics/graduate/the-masters-in-statistical-practice-program
[CMU statistics department]: http://www.stat.cmu.edu/
[Pie chart with remake]: /images/20220731/cf3f4bf24b014b908be1050c23795829.png
[Pie chart with remake 1]: http://i0.wp.com/civilstat.com/wp-content/uploads/2015/10/Armenia_PiesWithRemake.png
[all materials as a ZIP file _38 MB]: http://civilstat.com/datavis/36721F15/36721F15.zip
[Syllabus]: http://civilstat.com/datavis/36721F15/Other/721F15_Syllabus.pdf
[Suggested Readings list]: http://civilstat.com/datavis/36721F15/Other/Readings.html
[The Functional Art]: http://www.amazon.com/gp/product/0321834739/ref=as_li_tl?ie=UTF8&camp=1789&%23038;creative=390957&%23038;creativeASIN=0321834739&%23038;linkCode=as2&%23038;tag=civilstatis-20&%23038;linkId=S2X4KWBUGLUVOWLL
[Fundamental Statistical Concepts in Presenting Data]: http://biostat.mc.vanderbilt.edu/wiki/Main/RafeDonahue
[HW1 Legible Graphics]: http://civilstat.com/datavis/36721F15/Assignments/HW1_LegibleGraphics.pdf
[HW2 Visual Perception]: http://civilstat.com/datavis/36721F15/Assignments/HW2_VisualPerception.pdf
[dataviz to critique]: http://civilstat.com/datavis/36721F15/Assignments/HW2_CritiqueThis.pdf
[reduced dataset]: http://civilstat.com/datavis/36721F15/Assignments/degreeTotals.Rdata
[full dataset]: http://civilstat.com/datavis/36721F15/Assignments/degrees.csv
[HW3 Grammar of Graphics]: http://civilstat.com/datavis/36721F15/Assignments/HW3_GrammarOfGraphics.pdf
[Critique]: http://civilstat.com/datavis/36721F15/Assignments/Critique.pdf
[submission form]: http://civilstat.com/datavis/36721F15/Assignments/CritiqueSubmissionForm.pdf
[P1 Graphic Design]: http://civilstat.com/datavis/36721F15/Assignments/P1_GraphicDesign.pdf
[P2 Interaction Design]: http://civilstat.com/datavis/36721F15/Assignments/P2_IxnDesign.pdf
[P3 Research]: http://civilstat.com/datavis/36721F15/Assignments/P3_Research.pdf
[Project Ideas list]: http://civilstat.com/datavis/36721F15/Other/ProjectIdeas.pdf
[Rdata version of Haiti dataset]: http://civilstat.com/datavis/36721F15/Other/haiti_pecps.Rdata
[slides]: http://civilstat.com/datavis/36721F15/Lectures/01_Intro.pdf
[slides 1]: http://civilstat.com/datavis/36721F15/Lectures/02_Legible_slides.pdf
[R code]: http://civilstat.com/datavis/36721F15/Lectures/02_Legible_code.R
[R output]: http://civilstat.com/datavis/36721F15/Lectures/02_Legible_code.html
[addendum]: http://civilstat.com/datavis/36721F15/Lectures/02_Legible_code_addendum.R
[slides 2]: http://civilstat.com/datavis/36721F15/Lectures/03_Perception_slides.pdf
[R code 1]: http://civilstat.com/datavis/36721F15/Lectures/03_Perception_code.R
[R output 1]: http://civilstat.com/datavis/36721F15/Lectures/03_Perception_code.html
[slides 3]: http://civilstat.com/datavis/36721F15/Lectures/04_GoG_slides.pdf
[R code 2]: http://civilstat.com/datavis/36721F15/Lectures/04_GoG_code.R
[R output 2]: http://civilstat.com/datavis/36721F15/Lectures/04_GoG_code.html
[slides 4]: http://civilstat.com/datavis/36721F15/Lectures/05_GraphicDesign_slides.pdf
[STEM]: http://civilstat.com/datavis/36721F15/Lectures/05_GraphicDesign_STEM.pdf
[NonSTEM]: http://civilstat.com/datavis/36721F15/Lectures/05_GraphicDesign_NonSTEM.pdf
[Business]: http://civilstat.com/datavis/36721F15/Lectures/05_GraphicDesign_Biz.pdf
[layout]: http://civilstat.com/datavis/36721F15/Lectures/05_GraphicDesign_Layout.svg
[slides 5]: http://civilstat.com/datavis/36721F15/Lectures/06_IxnDesign_slides.pdf
[Shiny code and data]: http://civilstat.com/datavis/36721F15/Lectures/06_IxnDesign_AllShinyCode.zip
[D3 code and data]: http://civilstat.com/datavis/36721F15/Lectures/06_IxnDesign_AllD3Code.zip
[slides 6]: http://civilstat.com/datavis/36721F15/Lectures/07_Research_slides.pdf
[slides 7]: http://civilstat.com/datavis/36721F15/Lectures/08_ShinyLab_slides.pdf
[slides 8]: http://civilstat.com/datavis/36721F15/Lectures/09_StatAnalysis_slides.pdf
[R code 3]: http://civilstat.com/datavis/36721F15/Lectures/09_StatAnalysis_code.R
[R output 3]: http://civilstat.com/datavis/36721F15/Lectures/09_StatAnalysis_code.html
[tips]: http://civilstat.com/datavis/36721F15/Lectures/tips.csv
[ganglion]: http://civilstat.com/datavis/36721F15/Lectures/ganglion.txt
[slides 9]: http://civilstat.com/datavis/36721F15/Lectures/10_Mapping_slides.pdf
[R code 4]: http://civilstat.com/datavis/36721F15/Lectures/10_Mapping_code.R
[R output 4]: http://civilstat.com/datavis/36721F15/Lectures/10_Mapping_code.html
[MT]: http://civilstat.com/datavis/36721F15/Lectures/censusMT.Rdata
[PA]: http://civilstat.com/datavis/36721F15/Lectures/censusPA.Rdata
[USA]: http://civilstat.com/datavis/36721F15/Lectures/censusTopVars.Rdata
[slides 10]: http://civilstat.com/datavis/36721F15/Lectures/11_HighDim_slides.pdf
[slides 11]: http://civilstat.com/datavis/36721F15/Lectures/12_NetsAndTrees_slides.pdf
[slides 12]: http://civilstat.com/datavis/36721F15/Lectures/13_Wrapup_slides.pdf
[R code 5]: http://civilstat.com/datavis/36721F15/Lectures/13_Wrapup_code.R
[R output 5]: http://civilstat.com/datavis/36721F15/Lectures/13_Wrapup_code.html
[NHANES extract dataset]: http://civilstat.com/datavis/36721F15/Lectures/nhanes.csv
[simple-smile.png_w_456]: /images/20220731/9d6827e62e234aecb85f54b946adde65.png