Speaking Stata: Transforming the Time Axis

Author:

Cox Nicholas J.1

Affiliation:

1. Department of Geography Durham University Durham City, UK

Abstract

The time variable is most commonly plotted precisely as recorded in graphs showing change over time. However, if the most interesting part of the graph is very crowded, then transforming the time axis to give that part more space is worth consideration. In this column, I discuss logarithmic scales, square root scales, and scale breaks as possible solutions.

Publisher

SAGE Publications

Subject

Mathematics (miscellaneous)

Reference27 articles.

1. SEMI-LOGARITHMIC GRAPHS IN GEOGRAPHY: A PERTINENT ADDENDUM

2. Stata Tip 59: Plotting on Any Transformed Scale

3. CoxN. J., and MerrymanS. 2006. Stata FAQ: How can I show scale breaks on graphs? http://www.stata.com/support/faqs/graphics/scbreak.html.

4. Some Advantages of the Logarithmic Scale in Statistical Diagrams

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1. Speaking Stata: Automating axis labels: Nice numbers and transformed scales;The Stata Journal: Promoting communications on statistics and Stata;2022-12

2. Stata tip 141: Adding marginal spike histograms to quantile and cumulative distribution plots;The Stata Journal: Promoting communications on statistics and Stata;2021-09

3. Speaking Stata: Some simple devices to ease the spaghetti problem;The Stata Journal: Promoting communications on statistics and Stata;2019-12

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