IDEAS home Printed from https://ideas.repec.org/p/boc/asug04/11.html
   My bibliography  Save this paper

Density Distribution Sunflower Plots in Stata Version 8

Author

Listed:
  • William D. Dupont

    (Department of Biostatistics, Vanderbilt University School of Medicine)

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. 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. Stata version 8.2 contains a program, called sunflower, that draws these graphs.

Suggested Citation

  • William D. Dupont, 2004. "Density Distribution Sunflower Plots in Stata Version 8," North American Stata Users' Group Meetings 2004 11, Stata Users Group.
  • Handle: RePEc:boc:asug04:11
    as

    Download full text from publisher

    File URL: http://repec.org/nasug2004/Sunflower.pdf
    File Function: presentation slides
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dupont, William D. & Plummer Jr., W. Dale, 2003. "Density Distribution Sunflower Plots," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i03).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. GwanSeon Kim & Jun Ho Seok & Tyler B. Mark, 2018. "New Market Opportunities and Consumer Heterogeneity in the U.S. Organic Food Market," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:asug04:11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.