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Exploring and Summarizing Radiologic Data

¹ Diagnostic Radiology and Nuclear Medicine, Rm. 2MR21, University of Western Ontario, London Health Sciences Center-University Campus, 339 Windermere Rd., London, Ontario, Canada N6A 5A5.

View larger version (8K): [in a new window]   Fig. 1. —Dot plot of transit time data (found in Table 1) shows each asterisk as representing actual occurrence of specific time (sec) beside it.

View larger version (12K): [in a new window]   Fig. 2. —Conventional frequency histogram shows all raw data for transit time (found in Table 1).

View larger version (9K): [in a new window]   Fig. 3. —Frequency histogram (for data found in Table 1) shows that number of bins has been decreased to n (square root).

View larger version (9K): [in a new window]   Fig. 4. —Graph shows distribution of enhancement data converted to cumulative data (see Table 2). Conversion from histogram format permits easy visualization of quartiles; Q = third quartile, M = median, q = first quartile.

View larger version (10K): [in a new window]   Fig. 5. —Box-and-whiskers plot (for interval data found in Table 1) shows median and percentiles as marked. Compare this graph with Figure 4 that expresses the same data with quartiles.

View larger version (10K): [in a new window]   Fig. 6. —Bar chart shows proportion of patients in three treatment groups who were found with no change in size of prostate (black bar), enlargement (white bar), or decrease in size of prostate (gray bar). Note proportion of patients in each classification in each of three differently sized groups.

View larger version (11K): [in a new window]   Fig. 7A. —Scatterplots for six data sets show different data distributions. Pearson's product moment correlation coefficients for data sets are as follows: 0.864 (A)

View larger version (10K): [in a new window]   Fig. 7B. —Scatterplots for six data sets show different data distributions. Pearson's product moment correlation coefficients for data sets are as follows: 0.991 (B)

View larger version (11K): [in a new window]   Fig. 7C. —Scatterplots for six data sets show different data distributions. Pearson's product moment correlation coefficients for data sets are as follows: -0.992 (C)

View larger version (11K): [in a new window]   Fig. 7D. —Scatterplots for six data sets show different data distributions. Pearson's product moment correlation coefficients for data sets are as follows: -0.549 (D)

View larger version (10K): [in a new window]   Fig. 7E. —Scatterplots for six data sets show different data distributions. Pearson's product moment correlation coefficients for data sets are as follows: 0.078 (E)

View larger version (15K): [in a new window]   Fig. 7F. —Scatterplots for six data sets show different data distributions. Pearson's product moment correlation coefficients for data sets are as follows: 0.247 (F)

View larger version (12K): [in a new window]   Fig. 8. —Graph shows hypothetic data set (•) with linear regression (solid line) and 95% confidence intervals (dashed lines) plotted. Note that confidence intervals permit appreciation of strength of regression. r2 = 0.927, slope (m = 1.28), and x-intercept = -0.286.

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