Psychology 859: Seminar in Quantitative Psychology:

Statistical Graphics for Data Analysis and Presentation

Time, Place:                9:00-11:30 Mondays, 347 Davie

Instructor:                     David Thissen

 

Some Topics and Readings:

Topic

Some Readings

Some More Readings

 

Background & Overview

 

Video:

Wainer, H. How to display data effectively. American Demographics Institute, Washington, DC, September 15, 1988. (This was videotaped by PBS and broadcast in May 1989.)

 

Slides: Completely Meaningless Points.

 

Wainer, H. (1984). How to Display Data Badly. The American Statistician, 38, 137-147.

Wainer, H. (1980). Making newspaper graphs fit to print. In P. A. Kolers, M. E. Wrolstad, & H. Bouma (Eds.), Processing of visible language 2 (pp. 125-142). New York: Plenum.

Wainer, H. (1990b). Measuring graphicacy. Chance, 3, 52 & 58.

Wainer, H. (1991). Elegance, Grace, Impact and Graphical Displays. Chance, 4, 45-47.

Wainer, H. (1998). There they go again. Research Report RR-98-13. Princeton, NJ: Educational Testing Service.

Wainer, H. (2007). Improving data displays: Ours and the mediaÕs. Chance, 20, 8-15.

Wainer, H. (2008). Improving graphic displays by controlling creativity (with discussion). Chance, 21, 46-53.

Wainer, H. (2010). Commentary on the Graphic Displays in the 2008 National Healthcare Quality Report and State Snapshots. Chance, 23, 47-53.

 

Yau, N. (2011). Visualize this ... Chapter 1: Telling stories with data, and Chapter 9: Designing with a purpose. [off-campus link]

 

Wainer, H., & Thissen, D. (1981). Graphical data analysis. In M. R. Rosenzweig & L. W. Porter (Eds.), Annual Review of Psychology (pp. 191-241). Palo Alto, CA: Annual Reviews. A revision reprinted in G. Keren & C. Lewis (Eds.) (1992) Methodological and quantitative issues in the analysis of psychological data. Hillsdale, NJ: Erlbaum.

Wainer, H. & Velleman, P. F. (2001). Statistical graphics: Mapping the pathways of science. Annual Review of Psychology, 52, 305-335.

 

Wilkinson, L. (1992). Graphical displays. Statistical Methods in Medical Research, 1, 3-25.

 

Media Matters for America: Worst chart I've seen all day.

Media Matters for America: Today In Dishonest Fox News Charts.

 

Material that may be of interest at any time

Websites that may be of interest:

Nathan YauÕs Flowing Data

with such entries as Getting Started with Charts in R.

and his Visualize This book site.

Significance magazineÕs February 2013 article on Nathan Yau.

Michael FriendlyÕs Datavis.ca

with such entries as Gallery of Data Visualization: The Best and Worst of Statistical Graphics

and Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization.

William RevelleÕs The Personality Project: Using R in Psychological Research: A simple guide to an elegant package.

RevolutionsÕs 10 tips for making your R graphics look their best.

ASA Section on Statistical Computing & Statistical Graphics: Video Library.

Infovis: 1100+ examples of information visualization.

BuzzFeed: 30 Charts You Didn't Know You Needed.

 

Entire books that may be of some use:*

Yau, N. (2011). Visualize this: The FlowingData guide to design, visualization, and statistics. Indianapolis, IN: Wiley Publishing, Inc. [Note: Chapters 2 (Handling data), 3 (Choosing tools to visualize data), and 4 (Visualizing patterns over time) may serve as background and reference material throughout the course; the other chapters are associated with topics.] [off-campus link]

 

Chambers, J.M., Cleveland, W.S., Kleiner, B., & Tukey, P.A. (1983). Graphical methods for data analysis. Belmont, CA: Wadsworth.

Cleveland, W.S. (1985). The elements of graphing data. Monterey, CA: Wadsworth.

Cleveland, W.S., & McGill, M.E. (1988). Dynamic graphics for statistics.

Tufte, E. R. (1983). The visual display of quantitative information. Cheshire, CT: Graphics. Belmont, CA: Wadsworth.

Tufte, E. R. (1990). Envisioning information. Cheshire, CT: Graphics.

Tufte, E. R. (1997). Visual explanations. Cheshire, CT: Graphics.

Tufte, E. R. (2006). Beautiful Evidence. Graphics Press. Cheshire, CT.

Wainer, H. (1997). Visual revelations: Graphical tales of fate and deception from Napoleon Bonaparte to Ross Perot. New York: Copernicus.

Wainer, H. (2005). Graphic Discovery: A Trout in the Milk and Other Visual Adventures. Princeton, N.J.: Princeton University Press. [off-campus link]

Wainer, H. (2009). Picturing the Uncertain World: How to Understand, Communicate and Control Uncertainty through Graphical Display. Princeton, NJ: Princeton University Press.

Wilkinson, L. (1999). The grammar of graphics. New York, NY: Springer. [off-campus link]

Young, F. W., Valero-Mora, P., and Friendly, M. (2006). Visual Statistics: Seeing Data with Dynamic Interactive Graphics. New York: Wiley.

 

*Some full-length books are available electronically through the UNC Library; others are not. For those that are not, links from the Author(s)-date bits are to the UNC library catalog entries, and links from the titles are to the booksÕ pages at Amazon.com.

 

Tables

 

Ehrenberg, A. S. C. ( 1977). Rudiments of numeracy. Journal of the Royal Statistical Society, Series A, 140, 277- 297.

Wainer, H. ( 1993). Tabular presentation. Chance, 6, 52-56.

Wainer, H. (1998). Rounding tables. Chance, 11, 46-50.

Wainer, H. (2009). A good table can beat a bad graph. Chance, 22, 55-57.

Feinberg, R.A., & Wainer, H. (2011). Extracting Sunbeams from Cucumbers. Journal of Computational and Graphical Statistics, 20, 1-18.

 

Wainer, H. (1997). Improving tabular displays: With NAEP tables as examples and inspirations. Journal of Educational and Behavioral Statistics, 21, 1-32.

 

Chapter 5, Displaying Results. From American Psychological Association. (2010). The Publication Manual of the American Psychological Association (6th ed.). Washington, DC: Author.

 

Gelman, A. (2011). Tables as graphs: The Ramanujan principle. Significance, 8, 183.

Gelman, A. (2011) Why tables are really much better than graphs. Journal of Computational and Graphical Statistics, 20, 3-7.

Wainer, H. (2011). Comment. Journal of Computational and Graphical Statistics, 20, 8-15.

Friendly, M., & Kwan, E. (2011) Comment. Journal of Computational and Graphical Statistics, 20, 17-27.

Gelman, A. (2011) Rejoinder. Journal of Computational and Graphical Statistics, 20, 36-40.

 

Kwan, E., Lu, I. R. R., and Friendly, M. (2009). Tableplot: A New Tool for Assessing Precise Predictions. Zeitschrift fŸr Psychologie / Journal of Psychology, 217, 38-48.

 

 

Tallys, Transitions and Pixels

 

Slides: Tables.

 

Slides: Tally Marks.

 

Slides: Bachi's Graphical Rational Patterns.

 

Slides: Inside Out Plots.

 

Slides: Corrgrams.

 

Slides: Transitions.

 

 

Slides: Graphics File Formats.

 

Video: YouTube: Plotting with the HP 7470a and HP 7475a.

 

Tukey, J. W. (1972). Some graphic and semigraphic displays. In W.S. Cleveland (Ed.), The collected Works of John W. Tukey: Graphics 1965-1985 (pp. 39-62). Pacific Grove, CA: Wadsworth & Brooks/Cole. [Also in T. A. Bancroft (Ed.), Statistical papers in honor of George W. Snedecor (pp. 37-62). Ames, IA: Iowa State University Press.]

Tukey, J. W. (1977). Exploratory data analysis (Chapters 1-2). Reading, MA: Addison-Wesley.

 

Wikipedia: Tally Marks.

Hsieh, Hui-Kuang (1981). Chinese tally mark, The American Statistician, 35, p. 174

 

Bureau of the Census, U.S. Department of Commerce. (1978). Graphic presentation of statistical information: Papers presented at the 136th Annual Meeting of the American Statistical Association, Social Statistics Section, Session on Graphical Methods for Presenting Data (Technical Report No. 43). Washington, D. C.: Author.

 

Wainer, H. & Ramsay, J. (2010). Inside out plots. Chance, 23, 57-62.

 

 

Gelman, A., Pasarica, C., and Dodhia, R. (2002). LetÕs practice what we preach: turning tables into graphs. The American Statistician, 56, 121-130.

 

M. Friendly. (2002). Corrgrams: Exploratory displays for correlation matrices. The American Statistician, 56, 316-324.

Murdoch, D.J., & Chow, E.D. (1996). A graphical display of large correlation matrices. The American Statistician, 50, 178-180.

R documentation: Package "corrplot"

 

Wainer, H. & Vasilescu, D. (2005). Old Mother Hubbard and the United Nations: An adventure in exploratory data analysis (with discussion). Chance, 18, 38-45,

 

Wainer, H., & Thissen, D. (1988). Plotting in the modern world: Statistics packages and good graphics. Chance, 1, 10-20.

 

Hayes, B. (2012). Pixels or perish. American Scientist, 100, 106-111. [The interactive version on the web includes dynamic graphics.]

 

 

History

 

Slides: A Bit of History.

 

Video: Computer Graphics in Statistics: The Last 30 Years in Brief. Dianne Cook. Iowa State University (1995).

 

Slides: GraphicalMethods-Fienberg.

 

 

Friendly, M. (2007). A brief history of data visualization. In C. Chen, W. HŠrdle, & A. Unwin (Eds.), Handbook of computational statistics: Data visualization (pp. 1-34). Heidelberg: Springer-Verlag.

Beniger, J. R., and Robyn, D. L. (1978). Quantitative graphics in Statistics: A brief history. The American Statistician, 32 1-11.

Fienberg, S.E. 1979. Graphical methods in statistics. The American Statistician 33, 165-78.

Spence, I. & and Wainer, H. (2005). William Playfair and his graphical inventions: An excerpt from the introduction to the republication of his Atlas and statistical breviary. The American Statistician, 59, 224-229.

 

Mosteller, F. & Tukey, J. W. (1949). The uses and usefulness of binomial probability paper. Journal of the American Statistical Association, 44, 174-212.

Schmid, C.F. (1986). Whatever has happened to the semilogarithmic chart? The American Statistician, 40, 238-244.

 

Brinton, W.C. (1914) Graphic methods for presenting facts. New York, NY: The Engineering Magazine Co.

 

 

Categorical Data

 

Slides: Categorical Data Display.

 

Video:

U.Md. Human-Computer Interaction Lab 1992 Video Reports (for Treemaps).

Wainer, H. (1991b). Humble pie. Chance, 4, 52-53.

Wainer, H. ( 1995a). A rose by another name. Chance, 8, 46-51.

Wainer, H. (2010). Pies, spies, roses, lines, and symmetries. Chance, 23, 58-61.

 

Yau, N. (2011). Visualize this ... Chapter 5: Visualizing proportions. [off-campus link]

 

Treemaps for space-constrained visualization of hierarchies.

 

R documentation: Package ÔtreemapÕ.

R documentation: Package ÔportfolioÕ.

FlowingData: An Easy Way to Make a Treemap.

 

Friendly, M. (1992). Mosaic displays for loglinear models. American Statistical Association, Proceedings of the Statistical Graphics Section, 61-68.

Friendly, M. (1994). Mosaic displays for n-way contingency tables. Journal of the American Statistical Association, 89, 190-200

Friendly, M. (1999). Visualizing categorical data. In M. Sirken, D. Herrmann, S. Schechter, N. Schwarz, J. Tanur, and R. Tourangeau (Eds.), Cognition and survey research (pp. 319-348). New York: Wiley.

Friendly, M. (1999). Extending mosaic displays: marginal, conditional, and partial views of categorical data. Journal of Computational and Graphical Statistics, 8, 373-395.

 

R documentation: Package ÔvcdÕ.

 

 

Distributional Display

 

Slides: Distributional Display.

 

Yau, N. (2011). Visualize this ... Chapter 6: Visualizing relationships (pp. 200-213). [off-campus link]

 

McGill, R., Larsen, W. A., & Tukey, J. W. (1978). Variations of box plots. The American Statistician, 32, 12-16.

Benjamini, Y. (1988). Opening the box of a boxplot. The American Statistician, 42, 257-262.

Lee, J. J., & Z. N. Tu (1997). A versatile one-dimensional distribution plot: The BLiP plot. The American Statistician, 51, 353-358.

Hintze, J. L. & Nelson, R. D. (1998). Violin plots: A box plot-density trace synergism. The American Statistician, 52, 181-184.

Kampstra, P. (2008) Beanplot: A boxplot alternative for visual comparison of distributions. Journal of Statistical Software, Code Snippets, 28(1), 1-9. URL http://www.jstatsoft.org/v28/c01/

 

FlowingData: How to Visualize and Compare Distributions.

 

Langford, E. (2006). Quartiles in elementary statistics. Journal of Statistics Education, 14(3).

 

Wilk, M. B. and Gnanadesikan, R. (1968). Probability plotting methods for the analysis of data. Biometrika, 55, 1-17

 

R-Bloggers: The Many Uses of Q-Q Plots.

R-Bloggers: R Tutorial Series: Graphic Analysis of Regression Assumptions.

 

Wilkinson, L. (1982). Fuzzygrams. Presented at Harvard Computer Graphics Week. Cambridge, MA.

Wilkinson, L. (1982). Fuzzygrams. Unpublished ms.

 

SYSTAT documentation: Density Charts (Wilkinson).

 

Howard Wainer (1996). Depicting error. The American Statistician, 50, 101-111.

Almond, R. G., Lewis, C., Tukey, J. W., & Yan, D. (2000). Displays for comparing a given state to many others. The American Statistician, 54, 89-93.

 

 

Enhanced 2D Displays

 

Slides: Enhanced Scatterplots.

 

Video: Dynamic Displays of Data
Richard A. Becker and Robert McGill. AT&T Bell Laboratories (1985).

Yau, N. (2011). Visualize this ... Chapter 6: Visualizing relationships (pp. 192-200). [off-campus link]

 

Devlin, S. J., Gnanadesikan, R., and Kettenring, J. R. (1975). Robust estimation and outlier detection with correlation coefficient. Biometrika, 62, 531-545.

Thissen, D., Baker, L. & Wainer, H. (1981). Influence-enhanced scatterplots. Psychological Bulletin, 90, 179-184.

Cleveland, W.S. & Kleiner, B. (1975). A Graphical Technique for Enhancing Scatterplots with Moving Statistics. Technometrics, 17, 447-454.

Cleveland, W. S. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 74, 829-836.

Cleveland, W. S. & Devlin, S. J. (1988). Locally weighted regression: An approach to regression analysis by local fitting. Journal of the American Statistical Association, 83, 596-610.

 

R documentation: R Package shape.

 

Wainer, H. (1991a). Double Y-axis graphs. Chance, 4, 50-51.

Wainer, H. (1996). Scaling the heights (and widths). Chance, 9, 43-49.

Wainer, H. & Koretz, D. (2003). A political statistic. Chance, 16, 45-47.

 

Ellison, A. M. 1993. Exploratory data analysis and graphic display. In S. M. Scheiner and J. Gurevitch (Eds.) Design and analysis of ecological experiments (pp. 14-45). New York, NY: Chapman & Hall.

 

Thissen, D. & Wainer, H. (1990). Confidence envelopes for item response theory. Journal of Educational Statistics, 15, 113-128.

 

FlowingData: Color names plotted against gender.

Data Pointed: His and hers colors.

 

 

Multivariate Display: Small Multiples

 

Slides: Small Multiples.

 

Video:

Brushing a Scatter Plot Matrix
Richard A. Becker and Robert McGill. AT&T Bell Laboratories (1985).

 

Wainer, H. Pictures at an Exhibition. A.P.A. Messick Award Address, March 12, 2009.

 

Yau, N. (2011). Visualize this ... Chapter 6: Visualizing relationships (pp. 180-192; 213-226). [off-campus link]

 

Wainer, H. (2009). A centenary celebration for Will Burtin: A pioneer of scientific visualization. Chance, 22, 51-55.

Wainer, H. & Larsen, M. (2009). Pictures at an exhibition. Chance, 22, 46-53.

 

Tukey, J. W., & Tukey, P.A. (1988). Some Graphics for Studying Four-Dimensional Data. In W.S. Cleveland (Ed.), The collected Works of John W. Tukey: Graphics 1965-1985 (pp. 171-188). Pacific Grove, CA: Wadsworth & Brooks/Cole. [Also in Barnett, V. (Ed.) (1981). Interpreting multivariate data. Chichester, UK: Wiley]

 

R-bloggers: More on Exploring Correlations in R.

 

 

 

Multivariate Display: Glyphs

 

Slides: Multivariate Display: Glyphs, etc.

 

Yau, N. (2011). Visualize this ... Chapter 7: Spotting differences (pp. 228-258). [off-campus link]

 

Andrews, D. F. ( 1972). Plots of high-dimensional data. Biometrics, 28, 125- 136.

 

Anderson, E. (1957). A semi-graphical method for the analysis of complex problems. Proc. Nat. Acad. Sci. USA 43, 3-7. [Reprinted in Technometrics (1960), 2, 387-92.]

Anderson, E. (1960), ÒA semigraphical method for analysis of complex problems. Technometrics, 2, 287-292.

Chernoff, H. (1973). The use of faces to represent points in k-dimensional space graphically. Journal of the American Statistical Association, 68, 361-368.

Kleiner, B., & Hartigan, J. (1981). Representing points in many dimensions by trees and castles. Journal of the American Statistical Association, 76, 260-268.

Thissen, D., & Wainer, H. ( 1986). XTREE: A multivariate graphical icon applicable in the evaluation of statistical estimators. The American Statistician, 40, 149-153.

 

Wainer, H. (1983). On multivariate display. In M. H. Rizvi, J. S. Rustagi , & D. Siegmund (Eds.), Recent advances in statistics (pp. 469-508). New York: Academic Press.

 

FiveThirtyEight: Over the Decades, How the States Have Shifted.

 

Bruckner, L.A. (1978). On Chernoff faces. In P. C. C. Wang (Ed.), Graphical presentation of multivariate data (pp. 93-121). New York: Academic Press.

Jacob, R.J.K. (1978). Facial representation of multivariate data. In P. C. C. Wang (Ed.), Graphical representation of multivariate data (pp. 143-168). New York: Academic Press.

Jacob, R.J.K. (1983). Investigating the space of Chernoff faces. In M. H. Rizvi, J. S. Rustagi, & D. Siegmund (Eds.), Recent advances in statistics (pp. 449-468). New York: Academic Press.

 

Mezzich, J.E., & Worthington, D.R.L. (1978). A comparison of graphical representations of multidimensional psychiatric diagnostic data. In P. C. C. Wang (Ed.), Graphical representation of multivariate data (pp. 123-141). New York: Academic Press.

 

Wainer, H. (1997a). Some multivariate displays for NAEP results. Psychological Methods, 2, 34-63.

 

R documentation: Andrews curves.

R documentation: Chernoff faces.

 

 

Multivariate Display: Rotating Scatterplots

 

Slides: Rotating Scatterplots.

 

Video:

Real-time Rotation
Jih-Jie Chang. AT&T Bell Laboratories (1970).

Prim-9
J.W. Tukey, J.H. Friedman and M.A. Fisherkeller. Stanford Linear Accelerator (1973). Brushing and Rotation on an Iris
Richard A. Becker, William S. Cleveland and Gerald Weil. AT&T Bell Laboratories (1987).

Visualizing Multivariate Structure with VISUALS/Pxpl
Forrest W. Young & Penny Rheingans. University of North Carolina at Chapel Hill (1990).

Fisherkeller, M. A., Friedman, J H., & Tukey, J. W.. (1988). PRIM-9: An interactive multidimensional data display and analysis system. In W.S. Cleveland (Ed.), The collected Works of John W. Tukey: Graphics 1965-1985 (pp. 307-327). Pacific Grove, CA: Wadsworth & Brooks/Cole. [Also: Fisherkeller, M. A., J. H. Friedman, and J. W. Tukey. (1974). PRIM-9: An interactive multidimensional data display and analysis system. SLAC-Pub-1408. Stanford, CA: Stanford Linear Accelerator. Reprinted in Cleveland, W.S., &  McGill, M.E. (Eds.) (1988). Dynamic graphics for statistics. Monterey, CA: Wadsworth.]

 

FlowingData: John Tukey and the Beginning of Interactive Graphics.

 

GGobi.

 

Friedman, J. H. & Rafsky L. C. (1981). Graphics for the multivariate two-sample problem (with discussion). Journal of the American Statistical Association, 76, 277-287.

 

 

 

Marsaglia, G. (1968). Random numbers fall mainly in the planes. Proceedings of the National Academy of Science, 61, 25-28.

 

R snippets: Plotting randu dataset.

R snippets: randu dataset, part 2.

 

Friedman, J H., & Tukey, J. W. (1988). A projection pursuit algorithm for exploratory data analysis. In W.S. Cleveland (Ed.), The collected Works of John W. Tukey: Graphics 1965-1985 (pp. 149-170). Pacific Grove, CA: Wadsworth & Brooks/Cole. [Also: Friedman, J H., & Tukey, J. W. (1974). A projection pursuit algorithm for exploratory data analysis. IEEE Transactions on Computers, 23, 881-890.]

 

 

 

Multidimensional Scaling

 

Slides: Multidimensional Scaling.

 

Video: Multidimensional Scaling
 J.B. Kruskal. AT&T Bell Laboratories (1962)

 

Yau, N. (2011). Visualize this ... Chapter 7: Spotting differences (pp. 258-264). [off-campus link]

 

Kruskal, J. B., and Wish. M. (1977). Multidimensional Scaling. Beverly Hills, CA: Sage Publications.

Young, F.W. (1985). Multidimensional scaling. In: Kotz, S. & Johnson, N.L. (Eds.), Encyclopedia of statistical sciences, Vol. 5 (pp. 649-659). New York: Wiley.

 

 

Groenen, P.J.F. & Van de Velden, M. (2005). Multidimensional Scaling. In Brian S. Everitt and David C. Howell (eds). Encyclopedia of statistics in behavioral science, Volume II (pp. 1280-1289), Chichester: Wiley. (Appeared also as Econometric Institute Report EI 2004-15).

 

A beautifulWWW: An Interactive Visualization of the Netflix Prize Dataset.

A beautifulWWW: Another Visualization of the Netflix Prize Dataset.

 

 

Path Analysis and Path Diagrams

 

Slides: Path Diagrams.

 

Wright, S. (1920). The relative importance of heredity and environment in determining the piebald pattern of guinea-pigs. Proceedings of the National Academy of Sciences, 6, 320-332.

Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20, 557-585.

Wright, S. (1934). The method of path coefficients. Annals of Mathematical Statistics, 5, 161-215.

 

 

Boker, S.M., McArdle, J.J., & Neale, M. (2002). An algorithm for the hierarchical organization of path diagrams and calculation of components of expected covariance. Structural Equation Modeling, 9, 174-194

Curran, P., & Bauer, D. (2007). Building path diagrams for multilevel models. Psychological Methods, 12, 283-297.

 

 

Maps

 

 

Slides: Maps.

 

 

Yau, N. (2011). Visualize this ... Chapter 8: Visualizing spatial relationships. [off-campus link]

 

Wainer, H. & Clauser, B. (2005). Truth is slower than fiction: Francis Galton as an illustration. Chance, 18, 52-54.

 

Galton, F. (1881). On the construction of isochronic passage charts. Proceedings of the Geographical Section of the British Association, n.v.(XI), 657, 704. Read Sept. 1, 1881; also published: Roy.Geog.Soc.Proc., 1881, 657-658.

 

 

Wainer, H. (2012). Moral Statistics and the Thematic Maps of Joseph Fletcher. Chance, 25, 43-46.

 

baysianbiologist: Walmart invasion.

 

 

 

Experimental Evaluation

 

Slides: Experimental Studies.

 

Cleveland, W.S. & McGill, R. (1985). Graphical perception and graphical methods for analyzing scientific data. Science, 229, 828-833.

Cleveland, W.S., Diaconis, P., McGill, R. (1982). Variables on scatterplots look more highly correlated when scales are increased. Science, 216, 1138-1141.

Rensink, R. A., & Baldridge, G. (2010). The perception of correlation in scatterplots. Computer Graphics Forum, 29, 1203-1210.

 

Wainer, H. & Thissen, D. (1979). On the robustness of a class of naive estimators. Applied Psychological Measurement, 3, 543-551.

 

Wainer, H. (1974). The suspended rootogram and other visual Displays: An empirical validation. The American Statistician, 28, 143-145.

 

W. S. Cleveland and R. McGill. (1983). A color-caused optical illusion on a statistical graph. The American Statistician, 37, 01-105.

Howard Wainer & Carl M. Francolini (1980). An empirical inquiry concerning Human Understanding of two-variable color maps. The American Statistician, 34, 81-93.

 

 

Requirements, grading, and stuff: There will be no tests. Opportunities to actively participate in the seminar will be discussed in class.