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Density Distribution Sunflower Plots

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  • Dupont, William D.
  • Plummer Jr., W. Dale

Abstract

Density distribution sunflower plots are used to display high-density bivariate data. They are useful for data where a conventional scatter plot is difficult to read due to overstriking of the plot symbol. The x-y plane is subdivided into a lattice of regular hexagonal bins of width w specified by the user. The user also specifies the values of l, d, and k that affect the plot as follows. Individual observations are plotted when there are less than l observations per bin as in a conventional scatter plot. Each bin with from l to d observations contains a light sunflower. Other bins contain a dark sunflower. In a light sunflower each petal represents one observation. In a dark sunflower, each petal represents k observations. (A dark sunflower with p petals represents between /2-pk k and /2+pk k observations.) The user can control the sizes and colors of the sunflowers. By selecting appropriate colors and sizes for the light and dark sunflowers, plots can be obtained that give both the overall sense of the data density distribution as well as the number of data points in any given region. The use of this graphic is illustrated with data from the Framingham Heart Study. A documented Stata program, called sunflower, is available to draw these graphs. It can be downloaded from the Statistical Software Components archive at http://ideas.repec.org/c/boc/bocode/s430201.html . (Journal of Statistical Software 2003; 8 (3): 1-5. Posted at http://www.jstatsoft.org/index.php?vol=8 .)

Suggested Citation

  • Dupont, William D. & Plummer Jr., W. Dale, 2003. "Density Distribution Sunflower Plots," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i03).
    • Handle: RePEc:jss:jstsof:v:008:i03
    DOI: http://hdl.handle.net/10.18637/jss.v008.i03
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    References listed on IDEAS

    as
    1. William D. Dupont & W. Dale Plummer Jr., 2002. "SUNFLOWER: Stata module to generate density distribution sunflower plots," Statistical Software Components S430201, Boston College Department of Economics, revised 04 Nov 2003.
    2. Nicholas J. Cox & Thomas Steichen, 1999. "FLOWER: Stata module to draw sunflower plots," Statistical Software Components S393001, Boston College Department of Economics.
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    Cited by:

    1. Juyoung Cheong & Do Won Kwak & Kam Ki Tang, 2013. "WTO Trade Effects and Identification Problems: Why Knowing The Structural Properties of WTO Memberships Matters?," Discussion Papers Series 491, School of Economics, University of Queensland, Australia.
    2. William D. Dupont, 2004. "Density Distribution Sunflower Plots in Stata Version 8," North American Stata Users' Group Meetings 2004 11, Stata Users Group.
    3. William D. Dupont & W. Dale Plummer, Jr., 2005. "Using density-distribution sunflower plots to explore bivariate relationships in dense data," Stata Journal, StataCorp LP, vol. 5(3), pages 371-384, September.
    4. Richard A. Forshee & Maureen L. Storey & Michael E. Ginevan, 2005. "A Risk Analysis Model of the Relationship Between Beverage Consumption from School Vending Machines and Risk of Adolescent Overweight," Risk Analysis, John Wiley & Sons, vol. 25(5), pages 1121-1135, October.
    5. Anderson, Robert D.J. & Ashton, John K. & Hudson, Robert S., 2014. "The influence of product age on pricing decisions: An examination of bank deposit interest rate setting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 216-230.
    6. Haya Al-Ajlani & Luc Van Ootegem & Elsy Verhofstadt, 2019. "What is Important for Well-Being?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 955-972, June.

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    2. William D. Dupont & W. Dale Plummer, Jr., 2005. "Using density-distribution sunflower plots to explore bivariate relationships in dense data," Stata Journal, StataCorp LP, vol. 5(3), pages 371-384, September.

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