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Color palettes for Stata graphics: an update

Author

Listed:
  • Ben Jann
Abstract
This paper is an update to Jann (2018). It contains a comprehensive discussion of the -colorpalette- command, including various changes and additions that have been made to the software since its first publication. Command -colorpalette- provides colors for use in Stata graphics. In addition to Stata's default colors, -colorpalette- supports a variety of named colors, a selection of palettes that have been proposed by users, numerous collections of palettes and colormaps from sources such as ColorBrewer, Carto, D3.js, or Matplotlib, as well as color generators in different color spaces. The command also provides features such as color interpolation or color vision deficiency simulation.

Suggested Citation

  • Ben Jann, 2022. "Color palettes for Stata graphics: an update," University of Bern Social Sciences Working Papers 43, University of Bern, Department of Social Sciences, revised 03 Jun 2022.
  • Handle: RePEc:bss:wpaper:43
    as

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    File URL: https://boris.unibe.ch/169407/22/jann-2022-colorpalette.pdf
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    References listed on IDEAS

    as
    1. Svend Juul, 2003. "Lean mainstream schemes for Stata 8 graphics," Stata Journal, StataCorp LP, vol. 3(3), pages 295-301, September.
    2. Zeileis, Achim & Hornik, Kurt & Murrell, Paul, 2009. "Escaping RGBland: Selecting colors for statistical graphics," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3259-3270, July.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. David Roodman, 2022. "Schooling and Labor Market Consequences of School Construction in Indonesia: Comment," Papers 2207.09036, arXiv.org, revised Mar 2024.

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    More about this item

    Keywords

    Stata; palettes; colorpalette; colorcheck; graph; graphics; color; color spaces; color interpolation; color vision deficiency; grayscale conversion; perceptually uniform;
    All these keywords.

    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    Statistics

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