Graphical Methods for Data Presentation: Full Scale Breaks, Dot Charts, and Multibased Logging on JSTOR |
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Abstract
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. Journal InformationThe American Statistician strives to publish articles of general interest to the statistical profession on topics that are important for a broad group of statisticians, and ordinarily not highly technical. The journal is organized into sections: Statistical Practice, General, Teacher's Corner, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, and Letters. Publisher InformationBuilding on two centuries' experience, Taylor & Francis has grown rapidlyover the last two decades to become a leading international academic publisher.The Group publishes over 800 journals and over 1,800 new books each year, coveringa wide variety of subject areas and incorporating the journal imprints of Routledge,Carfax, Spon Press, Psychology Press, Martin Dunitz, and Taylor & Francis.Taylor & Francis is fully committed to the publication and dissemination of scholarly information of the highest quality, and today this remains the primary goal. Rights & UsageThis item is part of a JSTOR Collection. For terms and use, please refer to our Terms and Conditions The American Statistician 漏 1984 American Statistical Association Request Permissions |
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