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Graphical Methods for Data Presentation: Full Scale Breaks, Dot Charts, and Multibased Logging
William S. Cleveland
The American Statistician
Vol. 38, No. 4 (Nov., 1984), pp. 270-280
Stable URL: http://www.jstor.org/stable/2683401
Page Count: 11
You can always find the topics here!Topics: Charts, Data lines, Physics, Data visualization, Statistics, Statistical graphs, Logarithms, Line graphs, Graphics, Experimentation
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Experimentation with graphical methods for data presentation is important for improving graphical communication in science. Several methods-full scale breaks, dot charts, and multibased logging-are discussed. Full scale breaks are suggested as replacements for partial scale breaks, since partial breaks can fail to provide a forceful visual indication of a change in the scale. Dot charts show data that have labels and are replacements for bar charts; the new charts can be used in a wider variety of circumstances and allow more effective visual decoding of the quantitative information. Logarithms are powerful tools for data presentation; base 2 or base e is often more effective than the commonly used base 10.
The American Statistician © 1984 American Statistical Association