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Speaking Stata: Some simple devices to ease the spaghetti problem

Author

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  • Nicholas J. Cox

    (Durham University)

Abstract

The spaghetti problem arises in graphics when multiple time series or other functional traces show mostly a tangled mess. Devices to improve on graph- ical defaults include transformed scales (especially logarithmic scales); trying to increase the graph area showing the data (especially by losing the legend whenever possible); different colors sometimes; subdividing data into a few groups; subtrac- tion to focus on residuals or smoothing to reduce noise; selection or sampling of what is shown or emphasized; and stacking series vertically.

Suggested Citation

  • Nicholas J. Cox, 2019. "Speaking Stata: Some simple devices to ease the spaghetti problem," Stata Journal, StataCorp LP, vol. 19(4), pages 989-1008, December.
    • Handle: RePEc:tsj:stataj:v:19:y:2019:i:4:p:989-1008
    DOI: 10.1177/1536867X19893641
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