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Heat (and hexagon) plots in Stata

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  • Ben Jann

    (Institute of Sociology, University of Bern)

Abstract

In this presentation, I will present two new Stata commands to produce heat plots. Generally speaking, a heat plot is a graph in which one of the dimensions of the data is visualized using a color gradient. One example of such a plot is a two-dimensional histogram in which the frequencies of combinations of binned X and Y are displayed as rectangular (or hexagonal) fields using a color gradient. Another example is a plot of a trivariate distribution where the color gradient is used to visualize the (average) value of Z within bins of X and Y. Yet another example is a plot that displays the contents of a matrix, say, a correlation matrix or a spacial weights matrix using a color gradient. The two commands I will present are called heatplot and hexplot.

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  • Ben Jann, 2019. "Heat (and hexagon) plots in Stata," London Stata Conference 2019 24, Stata Users Group.
    • Handle: RePEc:boc:usug19:24
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    Cited by:

    1. Feyisa, Ashenafi Duguma & Maertens, Miet & de Mey, Yann, 2023. "Relating risk preferences and risk perceptions over different agricultural risk domains: Insights from Ethiopia," World Development, Elsevier, vol. 162(C).

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