Let's practice what we preach: Turning tables into graphs

American Statistician

Volumn 56, Issue 2, 2002, Pages 121-130

  Gelman, Andrew ^a   Pasarica, Cristian ^a   Dodhia, Rahul ^a  

^a Columbia University ^*  (United States)

Author keywords

Data reduction; Graph; Table; Visual display

Indexed keywords

EID: 0035995698     PISSN: 00031305     EISSN: None     Source Type: Journal    
DOI: 10.1198/000313002317572790     Document Type: Article

References (47)

1. Analyzing a randomized cancer prevention trial with a missing binary outcome, an auxiliary variable, and all-or-nothing compliance
2. Transitional regression models, with application to environmental time series
3. An experiment on the design of tables and graphs used for presenting numerical data
4. Graphs in scientific publications
5. Research in statistical graphics
6. Graphs and tables: A four-factor experiment
7. Graphs in statistical analysis: Is the medium the message?
8. Graphic comparisons by bars, squares, circles, and cubes
9. The relative merits of circles and bars for representing component parts
10. Statisticians' significance
11. The presentation of statistical information
12. Physiological pharmacokinetic analysis using population modeling and informative prior distributions
13. All maps of parameter estimates are misleading
14. Guidelines for presenting quantitative data in HFES publications
15. Genetic susceptibility and survival: Application to breast cancer
16. Graphics and managerial decision making: Research-based guidelines
17. The perception of statistical graphs
18. Editorial comment
19. A cognitive model for understanding graphical perception
20. Effects of cognitive style and report format on task performance: The MIS design consequences
21. Efficient Monte Carlo methods for conditional logistic regression
22. Information structure and the relative efficacy of tables and graphs
23. Multiple factors that determine performance with tables and graphs
24. Functional components of variation in handwriting
25. An empirical investigation of the impact of graphical and tabular data presentations on decision making
26. Displaying proportions and percentages
27. Estimation and inference for logistic regression with covariate misclassification and measurement error in main study/validation study designs
28. Human judgment accuracy, multidimensional graphics, and humans versus models
29. Some graphic and semigraphic displays
30. The use and value of graphical material in presenting quantitative data
31. An experimental study of various graphic, tabular and textural methods of presenting quantitative material
32. An empirical investigation of the dimensionality of the concept of information