1932

Abstract

Visualizing data is central to social scientific work. Despite a promising early beginning, sociology has lagged in the use of visual tools. We review the history and current state of visualization in sociology. Using examples throughout, we discuss recent developments in ways of seeing raw data and presenting the results of statistical modeling. We make a general distinction between those methods and tools designed to help explore data sets and those designed to help present results to others. We argue that recent advances should be seen as part of a broader shift toward easier sharing of code and data both between researchers and with wider publics, and we encourage practitioners and publishers to work toward a higher and more consistent standard for the graphical display of sociological insights.

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/content/journals/10.1146/annurev-soc-071312-145551
2014-07-30
2024-06-18
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Literature Cited

  1. Alkema L, Raftery AE, Gerland P, Clark SJ, Pelletier F. et al. 2011. Probabilistic projections of the total fertility rate for all countries. Demography 48:815–39 [Google Scholar]
  2. Anscombe FJ. 1973. Graphs in statistical analysis. Am. Stat. 27:17–21 [Google Scholar]
  3. Bender-deMoll S, Morris M, Moody J. 2008. Prototype packages for managing and animating longitudinal network data: dynamicnetwork and rSoNIA. J. Stat. Softw. 24:7 http://www.jstatsoft.org/v24/i07 [Google Scholar]
  4. Bertin J. 1967 (2010). Semiology of Graphics: Diagrams, Networks, Maps Redlands, CA: ESRI Press [Google Scholar]
  5. Bloch M, Gebeloff R. 2009. Immigration explorer. New York Times, March 10. http://www.nytimes.com/interactive/2009/03/10/us/20090310-immigration-explorer.html.
  6. Bourdieu P. 1984. Distinction: A Social Critique of the Judgment of Taste Cambridge, MA: Harvard Univ. Press [Google Scholar]
  7. Brandes U, Indlekofer N, Mader M. 2012. Visualization methods for longitudinal social networks and stochastic actor-oriented modeling. Soc. Netw. 43:291–308 [Google Scholar]
  8. Brandes U, Pich C. 2006. Eigensolver methods for progressive multidimensional scaling of large data. Int. Symp. Graph Drawing (GD), Lect. Notes Comput. Sci. (LNCS) 4372:42–53 [Google Scholar]
  9. Breiger RL. 2000. A toolkit for practice theory. Poetics 27:91–115 [Google Scholar]
  10. Breiger RL, Melamed D. 2014. The duality of organizations and their attributes: turning regression modeling ‘inside out.’. Res. Sociol. Organ. 40:261–74 [Google Scholar]
  11. Buja A, Cook D, Hofmann H, Lawrence M, Lee EK. et al. 2009. Statistical inference for exploratory data analysis and model diagnostics. Phil. Trans. R. Soc. A 367:4361–83 [Google Scholar]
  12. Chang W. 2013. The R Graphics Cookbook Sebastopol, CA: O'Reilly [Google Scholar]
  13. Chapin FS. 1924. The statistical definition of a societal variable. Am. J. Sociol. 30:154–71 [Google Scholar]
  14. Chatterjee S, Firat A. 2007. Generating data with identical statistics but dissimilar graphics: a follow up to the Anscombe Dataset. Am. Stat. 61:248–54 [Google Scholar]
  15. Cleveland WS. 1993. Visualizing Data Summit, NJ: Hobart [Google Scholar]
  16. Cleveland WS. 1994. The Elements of Graphing Data Summit, NJ: Hobart [Google Scholar]
  17. Cook D, Swaine DF. 2007. Interactive and Dynamic Graphics for Data Analysis New York: Springer [Google Scholar]
  18. Crnovrsanin T, Muelder CW, Faris R, Felmlee D, Ma K-L. 2014. Visualization techniques for categorical analysis of social networks with multiple edge sets. Soc. Netw. 37:56–64 [Google Scholar]
  19. Du WEB Bois. 1898 (1967). The Philadelphia Negro New York: Shocken Books [Google Scholar]
  20. Emerson JW, Green W, Schloerke B, Crowley B, Cook D. et al. 2013. The generalized pairs plot. J. Comp. Graph. Stat. 22:79–91 [Google Scholar]
  21. Few S. 2009. Now You See It: Simple Visualization Techniques for Quantitative Analysis Oakland, CA: Analytics [Google Scholar]
  22. Few S. 2012. Show Me the Numbers: Designing Tables and Graphs to Enlighten Burlingame, CA: Analytics, 2nd ed.. [Google Scholar]
  23. Fox J. 2003. Effect displays in R for generalised linear models. J. Stat. Softw. 8:15 http://www.jstatsoft.org/v08/i15/paper [Google Scholar]
  24. Fox J, Hong J. 2009. Effect displays in R for multinomial and proportional-odds logit models: extensions to the effects package. J. Stat. Softw. 32:1 http://www.jstatsoft.org/v32/i01/paper [Google Scholar]
  25. Frank KA, Yasumoto J. 1998. Linking action to social structure within a system: social capital within and between subgroups. Am. J. Sociol. 104:642–86 [Google Scholar]
  26. Freeman LC. 2004. The Development of Social Network Analysis: A Study in the Sociology of Science Vancouver, Can.: Empirical [Google Scholar]
  27. Freese J. 2007. Reproducibility standards in quantitative social science: why not sociology?. Soc. Methods Res. 36:153–72 [Google Scholar]
  28. Friendly M. 2000. Visualizing Categorical Data Cary, NC: SAS Inst. [Google Scholar]
  29. Gelman A. 2004. Exploratory data analysis for complex models. J. Comput. Graph. Stat. 13:755–79 [Google Scholar]
  30. Gelman A, Unwin A. 2013. Infovis and statistical graphics: different goals, different looks. J. Comp. Graph. Stat. 22:2–28 [Google Scholar]
  31. Godfrey AJR. 2013. Statistical software from a blind person's perspective. R J. 5:73–79 [Google Scholar]
  32. Handcock MS, Morris M. 1999. Relative Distribution Methods in the Social Sciences New York: Springer-Verlag [Google Scholar]
  33. Harrell F. 2001. Regression Modeling Strategies New York: Springer [Google Scholar]
  34. Hart HH. 1896. Immigration and crime. Am. J. Sociol. 2:369–77 [Google Scholar]
  35. Healy K. 2012. America is a violent country. Kieran Healy Blog July 20. http://kieranhealy.org/blog/archives/2012/07/20/america-is-a-violent-country [Google Scholar]
  36. Hewitt C. 1977. The effect of political democracy and social democracy on equality in industrial societies: a cross-national comparison. Am. Sociol. Rev. 42:450–64 [Google Scholar]
  37. Inselberg A. 2009. Parallel Coordinates: Visual Multidimensional Geometry and its Applications New York: Springer [Google Scholar]
  38. Jackman RM. 1980. The impact of outliers on income inequality. Am. Sociol. Rev. 45:344–47 [Google Scholar]
  39. Katz J. 2013. Regional dialect variation in the continental US Work. Pap., Proj. Beyond “Soda, Pop, or Coke,” Dep. Stat., N.C. State Univ., Raleigh. http://www4.ncsu.edu/∼jakatz2/project-dialect.html [Google Scholar]
  40. Kenworthy L. 2014. Social Democratic America New York: Oxford Univ. Press [Google Scholar]
  41. Keynes JM. 1938. Review of HG Funkhouser, Historical Development of the Graphical Representation of Statistical Data. Econ. J. 48:281–82 [Google Scholar]
  42. Kleimean K, Horton NJ. 2013. SAS and R: Data Management, Statistical Analysis, and Graphics Boca Raton, FL: Chapman & Hall/CRC, 2nd ed.. [Google Scholar]
  43. Kostelnick C. 2008. The visual rhetoric of data displays: the conundrum of clarity. IEEE Trans. Prof. Commun. 51:116–29 [Google Scholar]
  44. Lenski G. 1966. Power and Privilege New York: McGraw-Hill [Google Scholar]
  45. Lima M. 2011. Visual Complexity: Mapping Patterns of Information New York: Princeton Archit. Press [Google Scholar]
  46. Lundberg GA, Steele M. 1938. Social attraction-patterns in a village. Sociometry 1:375–419 [Google Scholar]
  47. Mann ME, Bradley RS, Hughes MK. 1999. Northern hemisphere temperatures during the past millennium: inferences, uncertainties, and limitations. Geophys. Res. Lett. 26:759–62 [Google Scholar]
  48. Marro A. 1899. Influence of the puberal development upon the moral character of children of both sexes. Am. J. Sociol. 5:193–219 [Google Scholar]
  49. Mirowsky J, Kim J. 2007. Graphing age trajectories: vector graphs, synthetic and virtual cohort projections, and virtual cohort projections, and cross-sectional profiles of depression. Sociol. Methods Res. 35:497–541 [Google Scholar]
  50. Mirowsky J, Ross C. 2007. Life course trajectories of perceived control and their relationship to education. Am. J. Sociol. 112:1339–82 [Google Scholar]
  51. Mitchell M. 2012. A Visual Guide to Stata Graphics College Station, TX: Stata, 3rd ed.. [Google Scholar]
  52. Moody J. 2004. The structure of a social science collaboration network: disciplinary cohesion from 1963 to 1999. Am. Sociol. Rev. 69:213–38 [Google Scholar]
  53. Moody J, Brynildsen WD, Osgood DW, Feinberg ME, Gest S. 2011. Popularity trajectories and substance use in early adolescence. Soc. Netw. 33:101–12 [Google Scholar]
  54. Moody J, Light R. 2006. A view from above: the evolving sociological landscape. Am. Sociol. 38:67–86 [Google Scholar]
  55. Moody J, McFarland DA, Bender-deMoll S. 2005. Dynamic network visualization: methods for meaning with longitudinal network movies. Am. J. Sociol. 110:1206–41 [Google Scholar]
  56. Moody J, Mucha PJ. 2013. Portrait of political party polarization. Netw. Sci. 1:119–21 [Google Scholar]
  57. Morris M, Kurth AE, Hamilton DT, Moody J, Wakefield S. 2009. Concurrent partnerships and HIV prevalence disparities by race: linking science and public health. Am. J. Public Health 99:1023–31 [Google Scholar]
  58. Moustafa R, Wegman E. 2006. Multivariate continuous data—parallel coordinates. Graphics of Large Datasets A Unwin, C Theus, H Hofmann 143–56 New York: Springer [Google Scholar]
  59. Murray S. 2013. Interactive Data Visualization for the Web Sebastopol: O'Reilly [Google Scholar]
  60. Murrell P. 2011. R Graphics. Boca Raton, FL: Chapman & Hall, 2nd ed.. [Google Scholar]
  61. Sarkar D. 2008. Lattice: Multivariate Data Visualization with R New York: Springer [Google Scholar]
  62. Sletto RF. 1936. A critical study of the criterion of internal consistency in personality scale construction. Am. Sociol. Rev. 1:61–68 [Google Scholar]
  63. Stack S. 1979. The effects of political participation and social party strength on the degree of income inequality. Am. Sociol. Rev. 44:168–71 [Google Scholar]
  64. Tufte ER. 1978. Political Control of the Economy Princeton, NJ: Princeton Univ. Press [Google Scholar]
  65. Tufte ER. 1983. The Visual Display of Quantitative Information Cheshire, CT: Graphics [Google Scholar]
  66. Tufte ER. 1990. Envisioning Information Cheshire, CT: Graphics [Google Scholar]
  67. Tufte ER. 1997. Visual Explanations: Images and Quantities, Evidence and Narrative Cheshire, CT: Graphics [Google Scholar]
  68. Tufte ER. 2006. Beautiful Evidence Cheshire, CT: Graphics [Google Scholar]
  69. Tukey JW. 1972. Some graphic and semigraphic displays. Statistical Papers in Honor of George W. Snedecor TA Bancroft 293–316 Ames: Iowa State Univ. Press [Google Scholar]
  70. Tukey JW. 1977. Exploratory Data Analysis New York: Addison Wesley [Google Scholar]
  71. Wainer H. 1984. How to display data badly. Am. Stat. 38:137–47 [Google Scholar]
  72. Wainer H. 2010. Foreword. See Bertin 1967 (2010) pp. ix–x
  73. Wickham H. 2009. ggplot2: Elegant Graphics for Data Analysis New York: Springer [Google Scholar]
  74. Wickham H. 2010. A layered grammar of graphics. J. Comput. Graph. Stat. 19:3–28 [Google Scholar]
  75. Wickham H, Cook D, Hofmann H, Buja A. 2010. Graphical inference for Infovis. IEEE Trans. Vis. Comput. Graph. 6:973–79 [Google Scholar]
  76. Wilkinson L. 1995 (2005). The Grammar of Graphics New York: Springer, 2nd ed.. [Google Scholar]
  77. Yau N. 2012. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics. Indianapolis, IN: Wiley [Google Scholar]
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