Overview

Dataset statistics

Number of variables26
Number of observations77
Missing cells127
Missing cells (%)6.3%
Total size in memory15.8 KiB
Average record size in memory209.7 B

Variable types

Categorical1
Numeric25

Alerts

final_ID has a high cardinality: 77 distinct values High cardinality
Ratio positive cylinders has 11 (14.3%) missing values Missing
Positive tissue ratio has 24 (31.2%) missing values Missing
ISUP has 6 (7.8%) missing values Missing
Preoperative testosterone has 42 (54.5%) missing values Missing
SUV peak has 7 (9.1%) missing values Missing
SUV mean has 7 (9.1%) missing values Missing
SUV min has 7 (9.1%) missing values Missing
SUV max has 7 (9.1%) missing values Missing
TL-PSMA has 7 (9.1%) missing values Missing
PSMA-TV has 7 (9.1%) missing values Missing
Seminal vesicle invasion (PET/MRI) has 2 (2.6%) missing values Missing
final_ID has unique values Unique
Ratio positive cylinders has 5 (6.5%) zeros Zeros
Positive tissue ratio has 1 (1.3%) zeros Zeros
Neurovascular bundle contact (PET/MRI) has 68 (88.3%) zeros Zeros
Bone metastases (PET/MRI) has 72 (93.5%) zeros Zeros
Nodule status (PET/MRI) has 66 (85.7%) zeros Zeros
Metastases (PET/MRI) has 70 (90.9%) zeros Zeros
Location both sides (PET/MRI) has 60 (77.9%) zeros Zeros
Location apex (PET/MRI) has 48 (62.3%) zeros Zeros
Location base (PET/MRI) has 62 (80.5%) zeros Zeros
Seminal vesicle invasion (PET/MRI) has 56 (72.7%) zeros Zeros
Extracapsular extension (PET/MRI) has 51 (66.2%) zeros Zeros
Extraprostatic extension (PET/MRI) has 49 (63.6%) zeros Zeros
Extraprostatic extension has 33 (42.9%) zeros Zeros

Reproduction

Analysis started2023-12-20 20:09:53.215029
Analysis finished2023-12-20 20:09:53.308797
Duration0.09 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

final_ID
Categorical

HIGH CARDINALITY
UNIQUE

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
pre_01
 
1
pre_50
 
1
pre_57
 
1
pre_56
 
1
pre_55
 
1
Other values (72)
72 

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st rowpre_01
2nd rowpre_02
3rd rowpre_03
4th rowpre_04
5th rowpre_05

Common Values

ValueCountFrequency (%)
pre_011
 
1.3%
pre_501
 
1.3%
pre_571
 
1.3%
pre_561
 
1.3%
pre_551
 
1.3%
pre_541
 
1.3%
pre_531
 
1.3%
pre_521
 
1.3%
pre_511
 
1.3%
pre_491
 
1.3%
Other values (67)67
87.0%

Ratio positive cylinders
Real number (ℝ≥0)

MISSING
ZEROS

Distinct23
Distinct (%)34.8%
Missing11
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean0.4522727273
Minimum0
Maximum1
Zeros5
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:53.466255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.21
median0.46
Q30.6375
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.4275

Descriptive statistics

Standard deviation0.3198162716
Coefficient of variation (CV)0.7071314547
Kurtosis-0.8791430408
Mean0.4522727273
Median Absolute Deviation (MAD)0.25
Skewness0.4527785293
Sum29.85
Variance0.1022824476
MonotonicityNot monotonic
2023-12-20T21:09:53.607273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
111
14.3%
0.59
11.7%
0.216
 
7.8%
05
 
6.5%
0.585
 
6.5%
0.334
 
5.2%
0.173
 
3.9%
0.142
 
2.6%
0.132
 
2.6%
0.252
 
2.6%
Other values (13)17
22.1%
(Missing)11
14.3%
ValueCountFrequency (%)
05
6.5%
0.061
 
1.3%
0.071
 
1.3%
0.082
 
2.6%
0.132
 
2.6%
ValueCountFrequency (%)
111
14.3%
0.831
 
1.3%
0.692
 
2.6%
0.672
 
2.6%
0.651
 
1.3%

Positive tissue ratio
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)71.7%
Missing24
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean0.3690566038
Minimum0
Maximum0.9
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:53.733064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q10.16
median0.33
Q30.54
95-th percentile0.822
Maximum0.9
Range0.9
Interquartile range (IQR)0.38

Descriptive statistics

Standard deviation0.2502557473
Coefficient of variation (CV)0.6780958387
Kurtosis-0.6753244363
Mean0.3690566038
Median Absolute Deviation (MAD)0.18
Skewness0.5298903167
Sum19.56
Variance0.06262793904
MonotonicityNot monotonic
2023-12-20T21:09:53.858841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.23
 
3.9%
0.93
 
3.9%
0.053
 
3.9%
0.383
 
3.9%
0.153
 
3.9%
0.632
 
2.6%
0.292
 
2.6%
0.492
 
2.6%
0.212
 
2.6%
0.332
 
2.6%
Other values (28)28
36.4%
(Missing)24
31.2%
ValueCountFrequency (%)
01
 
1.3%
0.031
 
1.3%
0.053
3.9%
0.061
 
1.3%
0.081
 
1.3%
ValueCountFrequency (%)
0.93
3.9%
0.771
 
1.3%
0.761
 
1.3%
0.741
 
1.3%
0.711
 
1.3%

ISUP
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)7.0%
Missing6
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean2.76056338
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:53.968630image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.335929732
Coefficient of variation (CV)0.4839337295
Kurtosis-1.186103313
Mean2.76056338
Median Absolute Deviation (MAD)1
Skewness0.1585290985
Sum196
Variance1.784708249
MonotonicityNot monotonic
2023-12-20T21:09:54.094035image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
217
22.1%
116
20.8%
416
20.8%
314
18.2%
58
10.4%
(Missing)6
 
7.8%
ValueCountFrequency (%)
116
20.8%
217
22.1%
314
18.2%
416
20.8%
58
10.4%
ValueCountFrequency (%)
58
10.4%
416
20.8%
314
18.2%
217
22.1%
116
20.8%

Age
Real number (ℝ≥0)

Distinct26
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.97402597
Minimum49
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:54.213667image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile52.8
Q160
median65
Q371
95-th percentile75
Maximum77
Range28
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.201925959
Coefficient of variation (CV)0.1108431539
Kurtosis-0.8247292828
Mean64.97402597
Median Absolute Deviation (MAD)6
Skewness-0.312265424
Sum5003
Variance51.86773753
MonotonicityNot monotonic
2023-12-20T21:09:54.322848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
648
 
10.4%
556
 
7.8%
655
 
6.5%
755
 
6.5%
715
 
6.5%
624
 
5.2%
604
 
5.2%
744
 
5.2%
634
 
5.2%
704
 
5.2%
Other values (16)28
36.4%
ValueCountFrequency (%)
491
1.3%
501
1.3%
522
2.6%
531
1.3%
541
1.3%
ValueCountFrequency (%)
771
 
1.3%
761
 
1.3%
755
6.5%
744
5.2%
733
3.9%

BMI
Real number (ℝ≥0)

Distinct16
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.06493506
Minimum20
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:54.448654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile21.8
Q124
median27
Q329
95-th percentile33.4
Maximum36
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.533068081
Coefficient of variation (CV)0.1305404233
Kurtosis0.0249661123
Mean27.06493506
Median Absolute Deviation (MAD)2
Skewness0.3143257978
Sum2084
Variance12.48257006
MonotonicityNot monotonic
2023-12-20T21:09:54.614357image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2412
15.6%
2911
14.3%
288
10.4%
278
10.4%
267
9.1%
256
7.8%
306
7.8%
224
 
5.2%
313
 
3.9%
353
 
3.9%
Other values (6)9
11.7%
ValueCountFrequency (%)
202
 
2.6%
212
 
2.6%
224
 
5.2%
231
 
1.3%
2412
15.6%
ValueCountFrequency (%)
361
 
1.3%
353
3.9%
332
2.6%
321
 
1.3%
313
3.9%

Preoperative PSA
Real number (ℝ≥0)

Distinct75
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.49506494
Minimum0.33
Maximum827.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:54.888592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile3.098
Q15.56
median9.13
Q328.66
95-th percentile125.16
Maximum827.8
Range827.47
Interquartile range (IQR)23.1

Descriptive statistics

Standard deviation98.01523461
Coefficient of variation (CV)2.841427746
Kurtosis58.0988771
Mean34.49506494
Median Absolute Deviation (MAD)5.07
Skewness7.240309075
Sum2656.12
Variance9606.986215
MonotonicityNot monotonic
2023-12-20T21:09:55.030056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.282
 
2.6%
7.192
 
2.6%
5.621
 
1.3%
28.531
 
1.3%
20.341
 
1.3%
181
 
1.3%
20.411
 
1.3%
121
 
1.3%
331
 
1.3%
827.81
 
1.3%
Other values (65)65
84.4%
ValueCountFrequency (%)
0.331
1.3%
1.261
1.3%
1.71
1.3%
2.571
1.3%
3.231
1.3%
ValueCountFrequency (%)
827.81
1.3%
166.61
1.3%
155.81
1.3%
1371
1.3%
122.21
1.3%

Preoperative testosterone
Real number (ℝ≥0)

MISSING

Distinct35
Distinct (%)100.0%
Missing42
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean3.439714286
Minimum0.03
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:55.155465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.138
Q12.045
median3.03
Q35.005
95-th percentile6.931
Maximum8
Range7.97
Interquartile range (IQR)2.96

Descriptive statistics

Standard deviation2.219482565
Coefficient of variation (CV)0.6452520125
Kurtosis-0.7884836616
Mean3.439714286
Median Absolute Deviation (MAD)1.73
Skewness0.189660815
Sum120.39
Variance4.926102857
MonotonicityNot monotonic
2023-12-20T21:09:55.296488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4.591
 
1.3%
6.231
 
1.3%
0.031
 
1.3%
5.561
 
1.3%
3.031
 
1.3%
6.71
 
1.3%
2.61
 
1.3%
5.241
 
1.3%
2.411
 
1.3%
4.771
 
1.3%
Other values (25)25
32.5%
(Missing)42
54.5%
ValueCountFrequency (%)
0.031
1.3%
0.041
1.3%
0.181
1.3%
0.231
1.3%
0.271
1.3%
ValueCountFrequency (%)
81
1.3%
7.471
1.3%
6.71
1.3%
6.341
1.3%
6.231
1.3%

Neurovascular bundle contact (PET/MRI)
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1168831169
Minimum0
Maximum1
Zeros68
Zeros (%)88.3%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:55.422668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3233877408
Coefficient of variation (CV)2.766761782
Kurtosis4.021247129
Mean0.1168831169
Median Absolute Deviation (MAD)0
Skewness2.432580359
Sum9
Variance0.1045796309
MonotonicityNot monotonic
2023-12-20T21:09:55.532860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
068
88.3%
19
 
11.7%
ValueCountFrequency (%)
068
88.3%
19
 
11.7%
ValueCountFrequency (%)
19
 
11.7%
068
88.3%

Bone metastases (PET/MRI)
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06493506494
Minimum0
Maximum1
Zeros72
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:55.642241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.248027075
Coefficient of variation (CV)3.819616955
Kurtosis11.26466066
Mean0.06493506494
Median Absolute Deviation (MAD)0
Skewness3.601757321
Sum5
Variance0.06151742994
MonotonicityNot monotonic
2023-12-20T21:09:55.752003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
072
93.5%
15
 
6.5%
ValueCountFrequency (%)
072
93.5%
15
 
6.5%
ValueCountFrequency (%)
15
 
6.5%
072
93.5%

Nodule status (PET/MRI)
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1428571429
Minimum0
Maximum1
Zeros66
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:55.861774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3522217347
Coefficient of variation (CV)2.465552143
Kurtosis2.396396396
Mean0.1428571429
Median Absolute Deviation (MAD)0
Skewness2.082021809
Sum11
Variance0.1240601504
MonotonicityNot monotonic
2023-12-20T21:09:55.987571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
066
85.7%
111
 
14.3%
ValueCountFrequency (%)
066
85.7%
111
 
14.3%
ValueCountFrequency (%)
111
 
14.3%
066
85.7%

Metastases (PET/MRI)
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09090909091
Minimum0
Maximum1
Zeros70
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:56.160248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2893649208
Coefficient of variation (CV)3.183014129
Kurtosis6.597621622
Mean0.09090909091
Median Absolute Deviation (MAD)0
Skewness2.902908886
Sum7
Variance0.08373205742
MonotonicityNot monotonic
2023-12-20T21:09:56.285689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
070
90.9%
17
 
9.1%
ValueCountFrequency (%)
070
90.9%
17
 
9.1%
ValueCountFrequency (%)
17
 
9.1%
070
90.9%

SUV peak
Real number (ℝ≥0)

MISSING

Distinct70
Distinct (%)100.0%
Missing7
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean9.817142857
Minimum2.21
Maximum50.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:56.427501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.21
5-th percentile3.076
Q15.5025
median7.94
Q312.2275
95-th percentile19.309
Maximum50.99
Range48.78
Interquartile range (IQR)6.725

Descriptive statistics

Standard deviation7.417679848
Coefficient of variation (CV)0.755584385
Kurtosis14.45327512
Mean9.817142857
Median Absolute Deviation (MAD)3.24
Skewness3.183872329
Sum687.2
Variance55.02197433
MonotonicityNot monotonic
2023-12-20T21:09:56.584181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.461
 
1.3%
16.491
 
1.3%
14.411
 
1.3%
6.991
 
1.3%
20.311
 
1.3%
2.941
 
1.3%
15.531
 
1.3%
6.781
 
1.3%
5.931
 
1.3%
9.181
 
1.3%
Other values (60)60
77.9%
(Missing)7
 
9.1%
ValueCountFrequency (%)
2.211
1.3%
2.631
1.3%
2.941
1.3%
2.951
1.3%
3.231
1.3%
ValueCountFrequency (%)
50.991
1.3%
35.361
1.3%
20.311
1.3%
19.661
1.3%
18.881
1.3%

SUV mean
Real number (ℝ≥0)

MISSING

Distinct67
Distinct (%)95.7%
Missing7
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean6.835142857
Minimum1.89
Maximum32.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:56.718085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.89
5-th percentile2.234
Q14.345
median5.81
Q37.6575
95-th percentile12.781
Maximum32.85
Range30.96
Interquartile range (IQR)3.3125

Descriptive statistics

Standard deviation4.913361476
Coefficient of variation (CV)0.7188381543
Kurtosis13.70315922
Mean6.835142857
Median Absolute Deviation (MAD)1.66
Skewness3.186989482
Sum478.46
Variance24.14112099
MonotonicityNot monotonic
2023-12-20T21:09:56.851308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.863
 
3.9%
5.932
 
2.6%
9.411
 
1.3%
4.311
 
1.3%
11.471
 
1.3%
2.641
 
1.3%
10.321
 
1.3%
5.91
 
1.3%
4.751
 
1.3%
6.121
 
1.3%
Other values (57)57
74.0%
(Missing)7
 
9.1%
ValueCountFrequency (%)
1.891
1.3%
2.051
1.3%
2.131
1.3%
2.181
1.3%
2.31
1.3%
ValueCountFrequency (%)
32.851
1.3%
26.531
1.3%
13.311
1.3%
12.971
1.3%
12.551
1.3%

SUV min
Real number (ℝ≥0)

MISSING

Distinct67
Distinct (%)95.7%
Missing7
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean3.184714286
Minimum0.37
Maximum22.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:56.977088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.37
5-th percentile0.6145
Q11.505
median2.275
Q33.4275
95-th percentile7.8025
Maximum22.26
Range21.89
Interquartile range (IQR)1.9225

Descriptive statistics

Standard deviation3.491946727
Coefficient of variation (CV)1.096470959
Kurtosis16.91060581
Mean3.184714286
Median Absolute Deviation (MAD)1.005
Skewness3.754067156
Sum222.93
Variance12.19369195
MonotonicityNot monotonic
2023-12-20T21:09:57.118566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.752
 
2.6%
2.582
 
2.6%
1.022
 
2.6%
1.831
 
1.3%
2.741
 
1.3%
1.121
 
1.3%
3.421
 
1.3%
1.921
 
1.3%
1.871
 
1.3%
2.411
 
1.3%
Other values (57)57
74.0%
(Missing)7
 
9.1%
ValueCountFrequency (%)
0.371
1.3%
0.421
1.3%
0.441
1.3%
0.611
1.3%
0.621
1.3%
ValueCountFrequency (%)
22.261
1.3%
18.341
1.3%
9.421
1.3%
8.321
1.3%
7.171
1.3%

SUV max
Real number (ℝ≥0)

MISSING

Distinct69
Distinct (%)98.6%
Missing7
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean14.35257143
Minimum3.33
Maximum73.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:57.244255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile4.2775
Q17.48
median11.08
Q317.9525
95-th percentile32.636
Maximum73.04
Range69.71
Interquartile range (IQR)10.4725

Descriptive statistics

Standard deviation11.16732263
Coefficient of variation (CV)0.7780712109
Kurtosis10.84062633
Mean14.35257143
Median Absolute Deviation (MAD)4.48
Skewness2.753799822
Sum1004.68
Variance124.7090947
MonotonicityNot monotonic
2023-12-20T21:09:57.369648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.922
 
2.6%
5.451
 
1.3%
9.251
 
1.3%
10.231
 
1.3%
41.311
 
1.3%
3.561
 
1.3%
18.111
 
1.3%
14.171
 
1.3%
11.521
 
1.3%
28.761
 
1.3%
Other values (59)59
76.6%
(Missing)7
 
9.1%
ValueCountFrequency (%)
3.331
1.3%
3.391
1.3%
3.561
1.3%
4.121
1.3%
4.471
1.3%
ValueCountFrequency (%)
73.041
1.3%
44.671
1.3%
41.311
1.3%
35.031
1.3%
29.711
1.3%

TL-PSMA
Real number (ℝ≥0)

MISSING

Distinct70
Distinct (%)100.0%
Missing7
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean67.07185714
Minimum1.99
Maximum366.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:57.652457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.99
5-th percentile8.534
Q121.58
median40.37
Q376.195
95-th percentile244.856
Maximum366.52
Range364.53
Interquartile range (IQR)54.615

Descriptive statistics

Standard deviation73.85567328
Coefficient of variation (CV)1.101142512
Kurtosis5.050561489
Mean67.07185714
Median Absolute Deviation (MAD)23.03
Skewness2.220672493
Sum4695.03
Variance5454.660476
MonotonicityNot monotonic
2023-12-20T21:09:57.793472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.981
 
1.3%
91.091
 
1.3%
144.231
 
1.3%
25.591
 
1.3%
46.681
 
1.3%
10.531
 
1.3%
188.451
 
1.3%
9.041
 
1.3%
311
 
1.3%
56.991
 
1.3%
Other values (60)60
77.9%
(Missing)7
 
9.1%
ValueCountFrequency (%)
1.991
1.3%
3.621
1.3%
8.11
1.3%
8.481
1.3%
8.61
1.3%
ValueCountFrequency (%)
366.521
1.3%
291.351
1.3%
275.091
1.3%
274.341
1.3%
208.821
1.3%

PSMA-TV
Real number (ℝ≥0)

MISSING

Distinct70
Distinct (%)100.0%
Missing7
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean9.41475442
Minimum0.703180212
Maximum58.99784946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:57.920351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.703180212
5-th percentile1.701435361
Q14.713740087
median7.713993187
Q311.62791516
95-th percentile19.88263961
Maximum58.99784946
Range58.29466925
Interquartile range (IQR)6.91417507

Descriptive statistics

Standard deviation8.237751155
Coefficient of variation (CV)0.8749831155
Kurtosis18.68934702
Mean9.41475442
Median Absolute Deviation (MAD)3.460259428
Skewness3.536377439
Sum659.0328094
Variance67.86054408
MonotonicityNot monotonic
2023-12-20T21:09:58.076389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.795580111
 
1.3%
9.752676661
 
1.3%
15.327311371
 
1.3%
5.9373549881
 
1.3%
4.0697471671
 
1.3%
3.9886363641
 
1.3%
18.260658911
 
1.3%
1.532203391
 
1.3%
6.5263157891
 
1.3%
9.3120915031
 
1.3%
Other values (60)60
77.9%
(Missing)7
 
9.1%
ValueCountFrequency (%)
0.7031802121
1.3%
1.4520547951
1.3%
1.532203391
1.3%
1.564076691
1.3%
1.8693181821
1.3%
ValueCountFrequency (%)
58.997849461
1.3%
28.636015331
1.3%
26.979328171
1.3%
21.209714731
1.3%
18.260658911
1.3%

Location both sides (PET/MRI)
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2207792208
Minimum0
Maximum1
Zeros60
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:58.201823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4174917782
Coefficient of variation (CV)1.890992172
Kurtosis-0.1178463169
Mean0.2207792208
Median Absolute Deviation (MAD)0
Skewness1.373280537
Sum17
Variance0.1742993848
MonotonicityNot monotonic
2023-12-20T21:09:58.321087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
060
77.9%
117
 
22.1%
ValueCountFrequency (%)
060
77.9%
117
 
22.1%
ValueCountFrequency (%)
117
 
22.1%
060
77.9%

Location apex (PET/MRI)
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3766233766
Minimum0
Maximum1
Zeros48
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:58.422154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4877165117
Coefficient of variation (CV)1.294971428
Kurtosis-1.777051879
Mean0.3766233766
Median Absolute Deviation (MAD)0
Skewness0.5194274282
Sum29
Variance0.2378673958
MonotonicityNot monotonic
2023-12-20T21:09:58.547558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
048
62.3%
129
37.7%
ValueCountFrequency (%)
048
62.3%
129
37.7%
ValueCountFrequency (%)
129
37.7%
048
62.3%

Location base (PET/MRI)
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1948051948
Minimum0
Maximum1
Zeros62
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:58.672957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3986477484
Coefficient of variation (CV)2.046391775
Kurtosis0.4829898285
Mean0.1948051948
Median Absolute Deviation (MAD)0
Skewness1.571980951
Sum15
Variance0.1589200273
MonotonicityNot monotonic
2023-12-20T21:09:58.782727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
062
80.5%
115
 
19.5%
ValueCountFrequency (%)
062
80.5%
115
 
19.5%
ValueCountFrequency (%)
115
 
19.5%
062
80.5%

Tumor stage (PET/MRI)
Real number (ℝ≥0)

Distinct7
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.363636364
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:58.892912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.605165108
Coefficient of variation (CV)0.4772112483
Kurtosis-0.6966343797
Mean3.363636364
Median Absolute Deviation (MAD)1
Skewness0.1851266097
Sum259
Variance2.576555024
MonotonicityNot monotonic
2023-12-20T21:09:59.002722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
322
28.6%
514
18.2%
113
16.9%
412
15.6%
29
11.7%
65
 
6.5%
72
 
2.6%
ValueCountFrequency (%)
113
16.9%
29
11.7%
322
28.6%
412
15.6%
514
18.2%
ValueCountFrequency (%)
72
 
2.6%
65
 
6.5%
514
18.2%
412
15.6%
322
28.6%

Seminal vesicle invasion (PET/MRI)
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)2.7%
Missing2
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean0.2533333333
Minimum0
Maximum1
Zeros56
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:59.128515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.4378489599
Coefficient of variation (CV)1.728351158
Kurtosis-0.678816047
Mean0.2533333333
Median Absolute Deviation (MAD)0
Skewness1.157589401
Sum19
Variance0.1917117117
MonotonicityNot monotonic
2023-12-20T21:09:59.238325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
056
72.7%
119
 
24.7%
(Missing)2
 
2.6%
ValueCountFrequency (%)
056
72.7%
119
 
24.7%
ValueCountFrequency (%)
119
 
24.7%
056
72.7%

Extracapsular extension (PET/MRI)
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3376623377
Minimum0
Maximum1
Zeros51
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:59.348147image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4760138656
Coefficient of variation (CV)1.409733371
Kurtosis-1.550609433
Mean0.3376623377
Median Absolute Deviation (MAD)0
Skewness0.7002597138
Sum26
Variance0.2265892003
MonotonicityNot monotonic
2023-12-20T21:09:59.442684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
051
66.2%
126
33.8%
ValueCountFrequency (%)
051
66.2%
126
33.8%
ValueCountFrequency (%)
126
33.8%
051
66.2%

Extraprostatic extension (PET/MRI)
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3636363636
Minimum0
Maximum1
Zeros49
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:59.560046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4842001247
Coefficient of variation (CV)1.331550343
Kurtosis-1.710733591
Mean0.3636363636
Median Absolute Deviation (MAD)0
Skewness0.5782732918
Sum28
Variance0.2344497608
MonotonicityNot monotonic
2023-12-20T21:09:59.668509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
049
63.6%
128
36.4%
ValueCountFrequency (%)
049
63.6%
128
36.4%
ValueCountFrequency (%)
128
36.4%
049
63.6%

Extraprostatic extension
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5714285714
Minimum0
Maximum1
Zeros33
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-20T21:09:59.783685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4981167541
Coefficient of variation (CV)0.8717043197
Kurtosis-1.965045045
Mean0.5714285714
Median Absolute Deviation (MAD)0
Skewness-0.294442348
Sum44
Variance0.2481203008
MonotonicityNot monotonic
2023-12-20T21:09:59.904781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
144
57.1%
033
42.9%
ValueCountFrequency (%)
033
42.9%
144
57.1%
ValueCountFrequency (%)
144
57.1%
033
42.9%