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42 Pages·2006·0.69 MB·English
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site. Copyright 2006, The Johns Hopkins University and Karl W. Broman. All rights reserved. Use of these materials permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or warranties provided. User assumes all responsibility for use, and all liability related thereto, and must independently review all materials for accuracy and efficacy. May contain materials owned by others. User is responsible for obtaining permissions for use from third parties as needed. How to display data badly Karl W. Broman Department of Biostatistics http://www.biostat.jhsph.edu/~kbroman Using Microsoft Excel to obscure your data and annoy your readers Karl W Broman Department of Biostatistics http://www.biostat.jhsph.edu/~kbroman Inspiration This lecture was inspired by H Wainer (1984) How to display data badly. American Statistician 38(2):137-147 Dr. Wainer was the first to elucidate the principles of the bad display of data. The now widespread use of Microsoft Excel has resulted in remarkable advances in the field. 4 General principles The aim of good data graphics: Display data accurately and clearly. Some rules for displaying data badly: – Display as little information as possible. – Obscure what you do show (with chart junk). – Use pseudo-3d and color gratuitously. – Make a pie chart (preferably in color and 3d). – Use a poorly chosen scale. – Ignore sig figs. 5 Example 1 6 Example 1 7 Example 1 8 Example 1 9 Example 1 10

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Using Microsoft Excel to obscure your data and annoy your readers Karl W Broman Department of Biostatistics http://www.biostat.jhsph.edu/~kbroman
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