Overview

Dataset statistics

Number of variables102
Number of observations70
Missing cells3353
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.6 KiB
Average record size in memory885.9 B

Variable types

Text3
Boolean10
DateTime19
Numeric27
Unsupported30
Categorical13

Dataset

Description전립선 비대증 환자의 전립선 암과 당뇨 고혈압을 비롯한 만성질환의 진단여부, 진단 일자를 확인 할 수 있음. UDS와 Uroflow 검사 여부, 수술 여부, ablocker, anticholin, 5ari, pde5i, desmopressin의 투약여부와 투약일수 등이 포함됨
Author가톨릭대학교 서울성모병원
URLhttp://cmcdata.net/data/dataset/bhp_chronic_disease

Alerts

재수술 has constant value ""Constant
HIST_CAD_YN is highly imbalanced (81.3%)Imbalance
HIST_CVA_YN is highly imbalanced (68.4%)Imbalance
UROFLOW_YN is highly imbalanced (53.1%)Imbalance
BOOG is highly imbalanced (53.8%)Imbalance
OP_YN is highly imbalanced (53.1%)Imbalance
OP_KIND is highly imbalanced (64.2%)Imbalance
ABLOCKER_YN is highly imbalanced (89.1%)Imbalance
BASELINE is highly imbalanced (53.1%)Imbalance
VOP0100 is highly imbalanced (81.5%)Imbalance
DIAGDD_C61 has 52 (74.3%) missing valuesMissing
BDHT has 4 (5.7%) missing valuesMissing
BDWT has 4 (5.7%) missing valuesMissing
DOA has 70 (100.0%) missing valuesMissing
D_DD has 70 (100.0%) missing valuesMissing
HIST_DM_DD has 47 (67.1%) missing valuesMissing
HIST_HTN_DD has 40 (57.1%) missing valuesMissing
HIST_DYSLIPIDEMIA_DD has 40 (57.1%) missing valuesMissing
HIST_CAD_DD has 68 (97.1%) missing valuesMissing
HIST_CVA_DD has 64 (91.4%) missing valuesMissing
HIST_CKD_DD has 57 (81.4%) missing valuesMissing
HIST_CPD_DD has 49 (70.0%) missing valuesMissing
HIST_CLD_DD has 56 (80.0%) missing valuesMissing
HIST_MALIGNANCY_DD has 34 (48.6%) missing valuesMissing
IPSS1 has 70 (100.0%) missing valuesMissing
IPSS2 has 70 (100.0%) missing valuesMissing
IPSS3 has 70 (100.0%) missing valuesMissing
IPSS4 has 70 (100.0%) missing valuesMissing
IPSS5 has 70 (100.0%) missing valuesMissing
IPSS6 has 70 (100.0%) missing valuesMissing
IPSS7 has 70 (100.0%) missing valuesMissing
IPSS8 has 70 (100.0%) missing valuesMissing
TOTAL_IPSS has 70 (100.0%) missing valuesMissing
IPSS_VOIDING has 70 (100.0%) missing valuesMissing
IPSS_STORAGE has 70 (100.0%) missing valuesMissing
UROFLOW_TDD has 7 (10.0%) missing valuesMissing
UROFLOW_TID has 7 (10.0%) missing valuesMissing
UROFLOW_PDD has 7 (10.0%) missing valuesMissing
VV has 70 (100.0%) missing valuesMissing
QMAX has 70 (100.0%) missing valuesMissing
RU has 70 (100.0%) missing valuesMissing
UDS_TD has 53 (75.7%) missing valuesMissing
TMPLRSLT has 53 (75.7%) missing valuesMissing
UDS_VV has 57 (81.4%) missing valuesMissing
UDS_QMAX has 57 (81.4%) missing valuesMissing
UDS_RU has 57 (81.4%) missing valuesMissing
BOOI has 54 (77.1%) missing valuesMissing
BCI has 54 (77.1%) missing valuesMissing
OP_EXECDD has 63 (90.0%) missing valuesMissing
ABLOCKER_YN has 1 (1.4%) missing valuesMissing
ABLOCKER_DAYS has 1 (1.4%) missing valuesMissing
ANTICHOLIN_YN has 1 (1.4%) missing valuesMissing
ANTICHOLIN_DAYS has 1 (1.4%) missing valuesMissing
5ARI_YN has 1 (1.4%) missing valuesMissing
5ARI_DAYS has 1 (1.4%) missing valuesMissing
PDE5I_YN has 1 (1.4%) missing valuesMissing
PDE5I_DAYS has 1 (1.4%) missing valuesMissing
DESMOPRESSIN_YN has 1 (1.4%) missing valuesMissing
DESMOPRESSIN_DAYS has 1 (1.4%) missing valuesMissing
5YUFM_QMAX has 70 (100.0%) missing valuesMissing
5YUFM_VV has 70 (100.0%) missing valuesMissing
5YUFM_RU has 70 (100.0%) missing valuesMissing
5YIPSS1 has 70 (100.0%) missing valuesMissing
5YIPSS2 has 70 (100.0%) missing valuesMissing
5YIPSS3 has 70 (100.0%) missing valuesMissing
5YIPSS4 has 70 (100.0%) missing valuesMissing
5YIPSS5 has 70 (100.0%) missing valuesMissing
5YIPSS6 has 70 (100.0%) missing valuesMissing
5YIPSS7 has 70 (100.0%) missing valuesMissing
5YIPSS8 has 70 (100.0%) missing valuesMissing
5YIPSS_TOTAL has 70 (100.0%) missing valuesMissing
5YIPSS_VOIDING has 70 (100.0%) missing valuesMissing
5YIPSS_STORAGE has 70 (100.0%) missing valuesMissing
VDG0100 has 6 (8.6%) missing valuesMissing
V010100 has 56 (80.0%) missing valuesMissing
V020100 has 50 (71.4%) missing valuesMissing
V030100 has 44 (62.9%) missing valuesMissing
V040100 has 47 (67.1%) missing valuesMissing
V050100 has 28 (40.0%) missing valuesMissing
V060100 has 12 (17.1%) missing valuesMissing
V080100 has 13 (18.6%) missing valuesMissing
V090100 has 3 (4.3%) missing valuesMissing
RID has unique valuesUnique
TRUS_TMPLRSLT has unique valuesUnique
PSA_RSLT has unique valuesUnique
DOA is an unsupported type, check if it needs cleaning or further analysisUnsupported
D_DD is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
TOTAL_IPSS is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS_VOIDING is an unsupported type, check if it needs cleaning or further analysisUnsupported
IPSS_STORAGE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VV is an unsupported type, check if it needs cleaning or further analysisUnsupported
QMAX is an unsupported type, check if it needs cleaning or further analysisUnsupported
RU is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YUFM_QMAX is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YUFM_VV is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YUFM_RU is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS_TOTAL is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS_VOIDING is an unsupported type, check if it needs cleaning or further analysisUnsupported
5YIPSS_STORAGE is an unsupported type, check if it needs cleaning or further analysisUnsupported
FU_MONTHS has 3 (4.3%) zerosZeros
UDS_RU has 2 (2.9%) zerosZeros
BOOI has 1 (1.4%) zerosZeros
ABLOCKER_DAYS has 1 (1.4%) zerosZeros
ANTICHOLIN_DAYS has 42 (60.0%) zerosZeros
5ARI_DAYS has 45 (64.3%) zerosZeros
PDE5I_DAYS has 45 (64.3%) zerosZeros
DESMOPRESSIN_DAYS has 54 (77.1%) zerosZeros

Reproduction

Analysis started2023-10-08 18:56:30.154786
Analysis finished2023-10-08 18:56:32.123176
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

RID
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-10-09T03:56:32.471085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters420
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)100.0%

Sample

1st rowBPH001
2nd rowBPH002
3rd rowBPH003
4th rowBPH004
5th rowBPH005
ValueCountFrequency (%)
bph001 1
 
1.4%
bph044 1
 
1.4%
bph050 1
 
1.4%
bph049 1
 
1.4%
bph048 1
 
1.4%
bph047 1
 
1.4%
bph046 1
 
1.4%
bph056 1
 
1.4%
bph043 1
 
1.4%
bph052 1
 
1.4%
Other values (60) 60
85.7%
2023-10-09T03:56:33.212823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86
20.5%
B 70
16.7%
P 70
16.7%
H 70
16.7%
1 17
 
4.0%
4 17
 
4.0%
5 17
 
4.0%
6 17
 
4.0%
3 17
 
4.0%
2 17
 
4.0%
Other values (3) 22
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
50.0%
Uppercase Letter 210
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86
41.0%
1 17
 
8.1%
4 17
 
8.1%
5 17
 
8.1%
6 17
 
8.1%
3 17
 
8.1%
2 17
 
8.1%
7 8
 
3.8%
9 7
 
3.3%
8 7
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 70
33.3%
P 70
33.3%
H 70
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 210
50.0%
Latin 210
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86
41.0%
1 17
 
8.1%
4 17
 
8.1%
5 17
 
8.1%
6 17
 
8.1%
3 17
 
8.1%
2 17
 
8.1%
7 8
 
3.8%
9 7
 
3.3%
8 7
 
3.3%
Latin
ValueCountFrequency (%)
B 70
33.3%
P 70
33.3%
H 70
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86
20.5%
B 70
16.7%
P 70
16.7%
H 70
16.7%
1 17
 
4.0%
4 17
 
4.0%
5 17
 
4.0%
6 17
 
4.0%
3 17
 
4.0%
2 17
 
4.0%
Other values (3) 22
 
5.2%

C61_YN
Boolean

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size202.0 B
False
52 
True
18 
ValueCountFrequency (%)
False 52
74.3%
True 18
 
25.7%
2023-10-09T03:56:33.481628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

DIAGDD_C61
Date

MISSING 

Distinct18
Distinct (%)100.0%
Missing52
Missing (%)74.3%
Memory size692.0 B
Minimum2012-08-17 00:00:00
Maximum2020-01-16 00:00:00
2023-10-09T03:56:33.766816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:33.983344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

DIAG_AGE
Real number (ℝ)

Distinct36
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.242857
Minimum35
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:34.200568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile42.9
Q157
median64.5
Q370
95-th percentile79.55
Maximum87
Range52
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.065596
Coefficient of variation (CV)0.17496989
Kurtosis-0.062714159
Mean63.242857
Median Absolute Deviation (MAD)7.5
Skewness-0.26275546
Sum4427
Variance122.44741
MonotonicityNot monotonic
2023-10-09T03:56:34.450846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
66 5
 
7.1%
69 5
 
7.1%
65 4
 
5.7%
57 4
 
5.7%
73 3
 
4.3%
62 3
 
4.3%
58 3
 
4.3%
60 3
 
4.3%
70 3
 
4.3%
54 3
 
4.3%
Other values (26) 34
48.6%
ValueCountFrequency (%)
35 1
1.4%
39 1
1.4%
42 2
2.9%
44 1
1.4%
45 1
1.4%
48 1
1.4%
49 1
1.4%
50 1
1.4%
52 1
1.4%
53 1
1.4%
ValueCountFrequency (%)
87 1
 
1.4%
85 1
 
1.4%
82 1
 
1.4%
80 1
 
1.4%
79 1
 
1.4%
78 2
2.9%
77 2
2.9%
76 2
2.9%
74 1
 
1.4%
73 3
4.3%

DIAGDD
Date

Distinct68
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2010-07-30 00:00:00
Maximum2017-07-17 00:00:00
2023-10-09T03:56:34.836850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:35.208285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

BDHT
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)42.4%
Missing4
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean168.28788
Minimum153.3
Maximum181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:35.644495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153.3
5-th percentile158.75
Q1165
median168.5
Q3172
95-th percentile176.75
Maximum181
Range27.7
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.5490128
Coefficient of variation (CV)0.032973336
Kurtosis0.12546695
Mean168.28788
Median Absolute Deviation (MAD)3.5
Skewness-0.13897008
Sum11107
Variance30.791543
MonotonicityNot monotonic
2023-10-09T03:56:35.924360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
165.0 10
14.3%
170.0 8
 
11.4%
168.0 6
 
8.6%
173.0 4
 
5.7%
169.0 4
 
5.7%
175.0 4
 
5.7%
162.0 3
 
4.3%
164.0 3
 
4.3%
172.0 2
 
2.9%
171.0 2
 
2.9%
Other values (18) 20
28.6%
(Missing) 4
 
5.7%
ValueCountFrequency (%)
153.3 1
 
1.4%
157.0 1
 
1.4%
157.3 1
 
1.4%
158.0 1
 
1.4%
161.0 1
 
1.4%
161.2 1
 
1.4%
162.0 3
 
4.3%
163.0 2
 
2.9%
164.0 3
 
4.3%
165.0 10
14.3%
ValueCountFrequency (%)
181.0 1
 
1.4%
180.0 1
 
1.4%
178.0 1
 
1.4%
177.0 1
 
1.4%
176.0 1
 
1.4%
175.0 4
5.7%
174.5 1
 
1.4%
174.0 2
2.9%
173.0 4
5.7%
172.0 2
2.9%

BDWT
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)65.2%
Missing4
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean69.695455
Minimum51
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:36.221296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile53.6625
Q163
median70
Q375
95-th percentile86
Maximum112
Range61
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.9382
Coefficient of variation (CV)0.1569428
Kurtosis2.5249711
Mean69.695455
Median Absolute Deviation (MAD)7
Skewness0.98651802
Sum4599.9
Variance119.64421
MonotonicityNot monotonic
2023-10-09T03:56:36.676796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
70.0 5
 
7.1%
63.0 4
 
5.7%
65.0 4
 
5.7%
67.0 3
 
4.3%
73.0 3
 
4.3%
62.4 2
 
2.9%
80.5 2
 
2.9%
80.0 2
 
2.9%
75.0 2
 
2.9%
68.0 2
 
2.9%
Other values (33) 37
52.9%
(Missing) 4
 
5.7%
ValueCountFrequency (%)
51.0 1
1.4%
52.0 1
1.4%
52.45 1
1.4%
53.55 1
1.4%
54.0 1
1.4%
55.0 1
1.4%
55.6 1
1.4%
57.0 1
1.4%
58.0 1
1.4%
58.3 1
1.4%
ValueCountFrequency (%)
112.0 1
1.4%
97.0 1
1.4%
89.0 1
1.4%
86.0 2
2.9%
83.0 2
2.9%
80.5 2
2.9%
80.0 2
2.9%
78.0 1
1.4%
77.5 1
1.4%
77.0 2
2.9%
Distinct61
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2011-04-15 00:00:00
Maximum2021-10-07 00:00:00
2023-10-09T03:56:36.946502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:37.254330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

FU_MONTHS
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.685714
Minimum0
Maximum109
Zeros3
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:37.897128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q154
median66
Q374.75
95-th percentile86.55
Maximum109
Range109
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation25.623553
Coefficient of variation (CV)0.42930797
Kurtosis0.93963288
Mean59.685714
Median Absolute Deviation (MAD)10.5
Skewness-1.2368693
Sum4178
Variance656.56646
MonotonicityNot monotonic
2023-10-09T03:56:38.165468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
54 5
 
7.1%
69 5
 
7.1%
66 5
 
7.1%
1 4
 
5.7%
68 3
 
4.3%
61 3
 
4.3%
0 3
 
4.3%
62 3
 
4.3%
87 2
 
2.9%
75 2
 
2.9%
Other values (26) 35
50.0%
ValueCountFrequency (%)
0 3
4.3%
1 4
5.7%
4 1
 
1.4%
20 1
 
1.4%
29 2
 
2.9%
38 1
 
1.4%
50 1
 
1.4%
51 1
 
1.4%
54 5
7.1%
56 2
 
2.9%
ValueCountFrequency (%)
109 1
1.4%
90 1
1.4%
87 2
2.9%
86 1
1.4%
85 1
1.4%
84 2
2.9%
83 2
2.9%
82 2
2.9%
81 1
1.4%
79 2
2.9%

DOA
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

D_DD
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

HIST_DM_YN
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
47 
2
15 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row3
4th row3
5th row2

Common Values

ValueCountFrequency (%)
3 47
67.1%
2 15
 
21.4%
1 8
 
11.4%

Length

2023-10-09T03:56:38.455904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:38.729543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 47
67.1%
2 15
 
21.4%
1 8
 
11.4%

HIST_DM_DD
Date

MISSING 

Distinct23
Distinct (%)100.0%
Missing47
Missing (%)67.1%
Memory size692.0 B
Minimum2010-08-04 00:00:00
Maximum2020-08-13 00:00:00
2023-10-09T03:56:38.936012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:39.160450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

HIST_HTN_YN
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
40 
1
20 
2
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 40
57.1%
1 20
28.6%
2 10
 
14.3%

Length

2023-10-09T03:56:39.441646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:39.698772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
57.1%
1 20
28.6%
2 10
 
14.3%

HIST_HTN_DD
Date

MISSING 

Distinct30
Distinct (%)100.0%
Missing40
Missing (%)57.1%
Memory size692.0 B
Minimum1997-07-24 00:00:00
Maximum2020-10-16 00:00:00
2023-10-09T03:56:39.993384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:40.308563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
40 
1
16 
2
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row1
4th row3
5th row2

Common Values

ValueCountFrequency (%)
3 40
57.1%
1 16
 
22.9%
2 14
 
20.0%

Length

2023-10-09T03:56:40.732579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:41.160835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
57.1%
1 16
 
22.9%
2 14
 
20.0%

HIST_DYSLIPIDEMIA_DD
Date

MISSING 

Distinct30
Distinct (%)100.0%
Missing40
Missing (%)57.1%
Memory size692.0 B
Minimum2005-07-14 00:00:00
Maximum2020-10-28 00:00:00
2023-10-09T03:56:41.446054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:41.735436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

HIST_CAD_YN
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
68 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 68
97.1%
1 2
 
2.9%

Length

2023-10-09T03:56:42.020615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:42.204097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 68
97.1%
1 2
 
2.9%

HIST_CAD_DD
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing68
Missing (%)97.1%
Memory size692.0 B
Minimum1999-03-24 00:00:00
Maximum2006-11-14 00:00:00
2023-10-09T03:56:42.344745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:42.520233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

HIST_CVA_YN
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
64 
2
 
4
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 64
91.4%
2 4
 
5.7%
1 2
 
2.9%

Length

2023-10-09T03:56:42.858080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:43.075467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 64
91.4%
2 4
 
5.7%
1 2
 
2.9%

HIST_CVA_DD
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing64
Missing (%)91.4%
Memory size692.0 B
Minimum2014-01-16 00:00:00
Maximum2021-01-25 00:00:00
2023-10-09T03:56:43.281410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:43.930471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

HIST_CKD_YN
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
57 
2
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 57
81.4%
2 9
 
12.9%
1 4
 
5.7%

Length

2023-10-09T03:56:44.173548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:44.351344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 57
81.4%
2 9
 
12.9%
1 4
 
5.7%

HIST_CKD_DD
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing57
Missing (%)81.4%
Memory size692.0 B
Minimum2004-08-04 00:00:00
Maximum2021-06-11 00:00:00
2023-10-09T03:56:44.523749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:44.759512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

HIST_CPD_YN
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
49 
2
12 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 49
70.0%
2 12
 
17.1%
1 9
 
12.9%

Length

2023-10-09T03:56:45.212947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:45.449075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 49
70.0%
2 12
 
17.1%
1 9
 
12.9%

HIST_CPD_DD
Date

MISSING 

Distinct21
Distinct (%)100.0%
Missing49
Missing (%)70.0%
Memory size692.0 B
Minimum1998-08-06 00:00:00
Maximum2021-02-16 00:00:00
2023-10-09T03:56:45.709447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:45.935358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

HIST_CLD_YN
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
56 
1
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 56
80.0%
1 8
 
11.4%
2 6
 
8.6%

Length

2023-10-09T03:56:46.158155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:46.383734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 56
80.0%
1 8
 
11.4%
2 6
 
8.6%

HIST_CLD_DD
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing56
Missing (%)80.0%
Memory size692.0 B
Minimum1998-03-07 00:00:00
Maximum2020-10-15 00:00:00
2023-10-09T03:56:46.583310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:46.781006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
34 
2
19 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
3 34
48.6%
2 19
27.1%
1 17
24.3%

Length

2023-10-09T03:56:47.104022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:47.370595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 34
48.6%
2 19
27.1%
1 17
24.3%

HIST_MALIGNANCY_DD
Date

MISSING 

Distinct36
Distinct (%)100.0%
Missing34
Missing (%)48.6%
Memory size692.0 B
Minimum1999-04-23 00:00:00
Maximum2020-01-16 00:00:00
2023-10-09T03:56:47.610991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:47.845900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

TRUS_TMPLRSLT
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-10-09T03:56:48.237471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length212
Median length195
Mean length176.94286
Min length136

Characters and Unicode

Total characters12386
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)100.0%

Sample

1st rowU/SFinding: Size:40 TZ:9 DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-
2nd rowU/SFinding: Size:32.8 TZ:9.09 HypoechogenicLesion:, Remarks: 검사시통증,특이호소없음 검사후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Soft Tenderness:- Nodule:-
3rd rowU/SFinding: Size:41.8 TZ:12.7 HypoechogenicLesion:. DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-
4th rowU/SFinding: Size:21.3 TZ:3.38 Remarks:검사후통증없음.귀가후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-
5th rowU/SFinding: Size:51.9 TZ:8.83 Remarks:검사후통증없음.귀가후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-
ValueCountFrequency (%)
u/sfinding 70
 
7.3%
drefinding 70
 
7.3%
analtone:good 70
 
7.3%
palpation 70
 
7.3%
symmetry 70
 
7.3%
tenderness 70
 
7.3%
nodule 70
 
7.3%
consistency:firm 67
 
7.0%
remarks 45
 
4.7%
prostateenlargement:mild 44
 
4.6%
Other values (161) 312
32.6%
2023-10-09T03:56:49.280223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 964
 
7.8%
e 949
 
7.7%
902
 
7.3%
: 783
 
6.3%
i 656
 
5.3%
o 594
 
4.8%
t 443
 
3.6%
s 434
 
3.5%
r 434
 
3.5%
a 432
 
3.5%
Other values (90) 5795
46.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6931
56.0%
Uppercase Letter 1673
 
13.5%
Other Letter 1183
 
9.6%
Other Punctuation 1136
 
9.2%
Control 902
 
7.3%
Decimal Number 421
 
3.4%
Dash Punctuation 139
 
1.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
137
 
11.6%
92
 
7.8%
73
 
6.2%
64
 
5.4%
58
 
4.9%
57
 
4.8%
56
 
4.7%
50
 
4.2%
50
 
4.2%
50
 
4.2%
Other values (37) 496
41.9%
Lowercase Letter
ValueCountFrequency (%)
n 964
13.9%
e 949
13.7%
i 656
9.5%
o 594
8.6%
t 443
 
6.4%
s 434
 
6.3%
r 434
 
6.3%
a 432
 
6.2%
d 419
 
6.0%
m 335
 
4.8%
Other values (10) 1271
18.3%
Uppercase Letter
ValueCountFrequency (%)
S 211
12.6%
F 211
12.6%
T 209
12.5%
P 147
8.8%
R 140
8.4%
E 140
8.4%
N 73
 
4.4%
C 70
 
4.2%
U 70
 
4.2%
G 70
 
4.2%
Other values (6) 332
19.8%
Decimal Number
ValueCountFrequency (%)
3 61
14.5%
1 55
13.1%
2 49
11.6%
5 48
11.4%
4 45
10.7%
8 41
9.7%
9 40
9.5%
6 32
7.6%
7 30
7.1%
0 20
 
4.8%
Other Punctuation
ValueCountFrequency (%)
: 783
68.9%
. 241
 
21.2%
/ 87
 
7.7%
, 25
 
2.2%
Control
ValueCountFrequency (%)
902
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8604
69.5%
Common 2599
 
21.0%
Hangul 1183
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
137
 
11.6%
92
 
7.8%
73
 
6.2%
64
 
5.4%
58
 
4.9%
57
 
4.8%
56
 
4.7%
50
 
4.2%
50
 
4.2%
50
 
4.2%
Other values (37) 496
41.9%
Latin
ValueCountFrequency (%)
n 964
 
11.2%
e 949
 
11.0%
i 656
 
7.6%
o 594
 
6.9%
t 443
 
5.1%
s 434
 
5.0%
r 434
 
5.0%
a 432
 
5.0%
d 419
 
4.9%
m 335
 
3.9%
Other values (26) 2944
34.2%
Common
ValueCountFrequency (%)
902
34.7%
: 783
30.1%
. 241
 
9.3%
- 139
 
5.3%
/ 87
 
3.3%
3 61
 
2.3%
1 55
 
2.1%
2 49
 
1.9%
5 48
 
1.8%
4 45
 
1.7%
Other values (7) 189
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11203
90.4%
Hangul 1183
 
9.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 964
 
8.6%
e 949
 
8.5%
902
 
8.1%
: 783
 
7.0%
i 656
 
5.9%
o 594
 
5.3%
t 443
 
4.0%
s 434
 
3.9%
r 434
 
3.9%
a 432
 
3.9%
Other values (43) 4612
41.2%
Hangul
ValueCountFrequency (%)
137
 
11.6%
92
 
7.8%
73
 
6.2%
64
 
5.4%
58
 
4.9%
57
 
4.8%
56
 
4.7%
50
 
4.2%
50
 
4.2%
50
 
4.2%
Other values (37) 496
41.9%

TRUS_SIZE
Real number (ℝ)

Distinct63
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.401429
Minimum13.5
Maximum88.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:49.589446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.5
5-th percentile21.525
Q130.3
median39.1
Q351.775
95-th percentile75.92
Maximum88.8
Range75.3
Interquartile range (IQR)21.475

Descriptive statistics

Standard deviation16.055831
Coefficient of variation (CV)0.38780862
Kurtosis0.57060745
Mean41.401429
Median Absolute Deviation (MAD)10.35
Skewness0.8599186
Sum2898.1
Variance257.78971
MonotonicityNot monotonic
2023-10-09T03:56:50.371702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.1 2
 
2.9%
25.8 2
 
2.9%
30.3 2
 
2.9%
51.7 2
 
2.9%
26.2 2
 
2.9%
58.2 2
 
2.9%
40.2 2
 
2.9%
22.0 1
 
1.4%
22.4 1
 
1.4%
34.8 1
 
1.4%
Other values (53) 53
75.7%
ValueCountFrequency (%)
13.5 1
1.4%
18.9 1
1.4%
20.0 1
1.4%
21.3 1
1.4%
21.8 1
1.4%
21.9 1
1.4%
22.0 1
1.4%
22.4 1
1.4%
23.6 1
1.4%
25.8 2
2.9%
ValueCountFrequency (%)
88.8 1
1.4%
80.7 1
1.4%
79.2 1
1.4%
77.9 1
1.4%
73.5 1
1.4%
64.6 1
1.4%
61.4 1
1.4%
58.2 2
2.9%
56.9 1
1.4%
56.6 1
1.4%
Distinct68
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2010-07-23 00:00:00
Maximum2017-07-17 00:00:00
2023-10-09T03:56:50.963657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:51.511626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

PSA_RSLT
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.903614
Minimum0.076
Maximum152.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:51.885740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.076
5-th percentile0.28285
Q10.88575
median2.2
Q35.225
95-th percentile73.0025
Maximum152.8
Range152.724
Interquartile range (IQR)4.33925

Descriptive statistics

Standard deviation27.76572
Coefficient of variation (CV)2.5464694
Kurtosis14.437057
Mean10.903614
Median Absolute Deviation (MAD)1.685
Skewness3.7756073
Sum763.253
Variance770.93519
MonotonicityNot monotonic
2023-10-09T03:56:52.253351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125.3 1
 
1.4%
4.18 1
 
1.4%
58.73 1
 
1.4%
3.6 1
 
1.4%
5.99 1
 
1.4%
4.41 1
 
1.4%
0.076 1
 
1.4%
0.492 1
 
1.4%
0.884 1
 
1.4%
8.41 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
0.076 1
1.4%
0.141 1
1.4%
0.234 1
1.4%
0.241 1
1.4%
0.334 1
1.4%
0.442 1
1.4%
0.473 1
1.4%
0.492 1
1.4%
0.512 1
1.4%
0.518 1
1.4%
ValueCountFrequency (%)
152.8 1
1.4%
125.3 1
1.4%
94.31 1
1.4%
84.68 1
1.4%
58.73 1
1.4%
32.54 1
1.4%
26.39 1
1.4%
17.74 1
1.4%
11.77 1
1.4%
9.3 1
1.4%
Distinct67
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2010-08-27 00:00:00
Maximum2018-08-20 00:00:00
2023-10-09T03:56:52.616409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:52.946433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

IPSS1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

IPSS2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

IPSS3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

IPSS4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

IPSS5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

IPSS6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

IPSS7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

IPSS8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

TOTAL_IPSS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

IPSS_VOIDING
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

IPSS_STORAGE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

UROFLOW_YN
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size202.0 B
True
63 
False
ValueCountFrequency (%)
True 63
90.0%
False 7
 
10.0%
2023-10-09T03:56:53.216227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

UROFLOW_TDD
Date

MISSING 

Distinct62
Distinct (%)98.4%
Missing7
Missing (%)10.0%
Memory size692.0 B
Minimum2010-11-10 00:00:00
Maximum2020-05-07 00:00:00
2023-10-09T03:56:53.466625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:53.709320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

UROFLOW_TID
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)100.0%
Missing7
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean8.8620709 × 108
Minimum4.2042648 × 108
Maximum1.3458537 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:53.994918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2042648 × 108
5-th percentile7.3839229 × 108
Q18.0801864 × 108
median8.8555882 × 108
Q39.4852807 × 108
95-th percentile1.0457756 × 109
Maximum1.3458537 × 109
Range9.2542719 × 108
Interquartile range (IQR)1.4050943 × 108

Descriptive statistics

Standard deviation1.2229461 × 108
Coefficient of variation (CV)0.13799778
Kurtosis4.9022009
Mean8.8620709 × 108
Median Absolute Deviation (MAD)66036275
Skewness0.069160579
Sum5.5831047 × 1010
Variance1.4955972 × 1016
MonotonicityNot monotonic
2023-10-09T03:56:54.322870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
791754363 1
 
1.4%
858868263 1
 
1.4%
911471676 1
 
1.4%
1087413317 1
 
1.4%
979157287 1
 
1.4%
907420195 1
 
1.4%
730910916 1
 
1.4%
831284290 1
 
1.4%
882265425 1
 
1.4%
947518456 1
 
1.4%
Other values (53) 53
75.7%
(Missing) 7
 
10.0%
ValueCountFrequency (%)
420426480 1
1.4%
730910916 1
1.4%
736637500 1
1.4%
737510257 1
1.4%
746330564 1
1.4%
747943775 1
1.4%
767902934 1
1.4%
771453356 1
1.4%
778531847 1
1.4%
779808344 1
1.4%
ValueCountFrequency (%)
1345853666 1
1.4%
1093695538 1
1.4%
1087413317 1
1.4%
1047185576 1
1.4%
1033085877 1
1.4%
1025072037 1
1.4%
1023313763 1
1.4%
1013026233 1
1.4%
1009880985 1
1.4%
986292752 1
1.4%

UROFLOW_PDD
Date

MISSING 

Distinct60
Distinct (%)95.2%
Missing7
Missing (%)10.0%
Memory size692.0 B
Minimum2010-07-30 00:00:00
Maximum2019-11-07 00:00:00
2023-10-09T03:56:54.592794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:55.108044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

VV
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

QMAX
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

RU
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

UDS_YN
Boolean

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size202.0 B
False
53 
True
17 
ValueCountFrequency (%)
False 53
75.7%
True 17
 
24.3%
2023-10-09T03:56:55.323651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

UDS_TD
Date

MISSING 

Distinct17
Distinct (%)100.0%
Missing53
Missing (%)75.7%
Memory size692.0 B
Minimum2012-09-12 00:00:00
Maximum2017-07-24 00:00:00
2023-10-09T03:56:55.524619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:56:55.772782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

TMPLRSLT
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing53
Missing (%)75.7%
Memory size692.0 B
2023-10-09T03:56:56.230277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length737
Median length636
Mean length609.58824
Min length428

Characters and Unicode

Total characters10363
Distinct characters180
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row1.Uroflow: TotalVol:119 Qmax:13.9 ResidualUrine:10 PressureFlow: TotalVol:538 Qmax:10 ResidualUrine:0 2.DetrusorUninhibitedContraction:- 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:538 6.MaximalUrethralClosurePressure:57 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:frequency PHx:prostateca(LRPOP예정) PdetQmax=40Qmax=10 BOOI=40-2x10=20(equivocal) BCI=40+5x10=90(weak) schafernomogram=BOOGI imp)BOOGI R1허경재
2nd row1.Uroflow: TotalVol:185 Qmax:7 ResidualUrine:0 PressureFlow: TotalVol:357 Qmax:12 ResidualUrine:0 2.DetrusorUninhibitedContraction:- 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:357 6.MaximalUrethralClosurePressure:61 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:VD,freuqnecy,urgency PHx:TA(요추추간판탈출증) <UDSfinding> -Storagephase Detrusoractivity:normal Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal Urethralfunction:PdetQmax=24Qmax=12 BOOI=24-2x12=0(noobstruction) BCI=24+5x12=84(weak) schafernomogram=BOOG0(detrusorweak) ->지속적인urgency호소함.Det.uninhibitedcontraction은없었음.다른특이사항없음. 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN김태운/pf김세웅
3rd rowPressureFlow: TotalVol:16 Qmax:1 ResidualUrine:263 2.DetrusorUninhibitedContraction:+ 3.Compliance:Poor 4.VoidingSense:+ 5.MaximalCystometricCapacity:260 6.MaximalUrethralClosurePressure:14 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:voidingdifficulty/hesitancy/frequency/residualurinationsense/nocturia*2 PHx:BPHcbilat.HNP <UDSfinding> -Storagephase Detrusoractivity:DO(idiopathic) Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal BOOI=115-2x1=113 BCI=115+5x1=120 schafernomogram=BOOGVI imp)BOOGVI,Detrusoroveractivity 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN.박성진/Dr.박용현 selfvoidingfail함.
4th row1.Uroflow: TotalVol:308 Qmax:7 ResidualUrine:40 PressureFlow: TotalVol:353 Qmax:5 ResidualUrine:80 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:435 6.MaximalUrethralClosurePressure:91 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:VD PHx:BPH(수술예정) <UDSfinding> -Storagephase Detrusoractivity:normal Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal Urethralfunction:PdetQmax=57Qmax=5 BOOI=57-2x5=47(OBSTRUCTION) BCI=57+5x5=82(WEAK) schafernomogram=BOOGIII imp)BOOGIII 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN김태운/pf김세웅
5th rowPressureFlow: TotalVol:330 Qmax:10 ResidualUrine:0 2.DetrusorUninhibitedContraction:- 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:330 6.MaximalUrethralClosurePressure:92 7.AnalTone:+ BulbocavernosusReflex:+ Imp: PHx:prostateca(수술예정) <UDSfinding> -Storagephase Detrusoractivity:normal Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal Urethralfunction:PdetQmax=39Qmax=10 BOOI=39-2x10=19(noobstruction) BCI=39+5x10=89(weak) schafernomogram=BOOGI imp)BOOGI RN김태운/pf이지열
ValueCountFrequency (%)
detrusoractivity:normal 25
 
4.7%
imp 17
 
3.2%
pressureflow 17
 
3.2%
4.voidingsense 17
 
3.2%
7.analtone 17
 
3.2%
bulbocavernosusreflex 17
 
3.2%
2.detrusoruninhibitedcontraction 16
 
3.0%
udsfinding 16
 
3.0%
3.compliance:good 15
 
2.8%
voidingphase 15
 
2.8%
Other values (213) 361
67.7%
2023-10-09T03:56:57.113772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 647
 
6.2%
e 586
 
5.7%
586
 
5.7%
o 563
 
5.4%
r 534
 
5.2%
i 493
 
4.8%
n 446
 
4.3%
t 402
 
3.9%
l 395
 
3.8%
: 373
 
3.6%
Other values (170) 5338
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6210
59.9%
Uppercase Letter 1257
 
12.1%
Other Letter 663
 
6.4%
Decimal Number 639
 
6.2%
Other Punctuation 603
 
5.8%
Control 586
 
5.7%
Math Symbol 212
 
2.0%
Dash Punctuation 71
 
0.7%
Close Punctuation 69
 
0.7%
Open Punctuation 53
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
 
6.0%
34
 
5.1%
34
 
5.1%
29
 
4.4%
20
 
3.0%
19
 
2.9%
17
 
2.6%
17
 
2.6%
16
 
2.4%
15
 
2.3%
Other values (101) 422
63.7%
Lowercase Letter
ValueCountFrequency (%)
a 647
10.4%
e 586
 
9.4%
o 563
 
9.1%
r 534
 
8.6%
i 493
 
7.9%
n 446
 
7.2%
t 402
 
6.5%
l 395
 
6.4%
s 327
 
5.3%
m 285
 
4.6%
Other values (14) 1532
24.7%
Uppercase Letter
ValueCountFrequency (%)
C 142
11.3%
B 122
9.7%
U 113
 
9.0%
O 108
 
8.6%
I 95
 
7.6%
P 84
 
6.7%
D 84
 
6.7%
V 80
 
6.4%
R 73
 
5.8%
Q 61
 
4.9%
Other values (12) 295
23.5%
Decimal Number
ValueCountFrequency (%)
1 90
14.1%
5 85
13.3%
0 80
12.5%
2 76
11.9%
3 73
11.4%
4 62
9.7%
7 61
9.5%
6 52
8.1%
9 34
 
5.3%
8 26
 
4.1%
Other Punctuation
ValueCountFrequency (%)
: 373
61.9%
. 159
26.4%
/ 37
 
6.1%
, 30
 
5.0%
* 4
 
0.7%
Math Symbol
ValueCountFrequency (%)
= 110
51.9%
+ 70
33.0%
> 17
 
8.0%
< 15
 
7.1%
Control
ValueCountFrequency (%)
586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7467
72.1%
Common 2233
 
21.5%
Hangul 663
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
 
6.0%
34
 
5.1%
34
 
5.1%
29
 
4.4%
20
 
3.0%
19
 
2.9%
17
 
2.6%
17
 
2.6%
16
 
2.4%
15
 
2.3%
Other values (101) 422
63.7%
Latin
ValueCountFrequency (%)
a 647
 
8.7%
e 586
 
7.8%
o 563
 
7.5%
r 534
 
7.2%
i 493
 
6.6%
n 446
 
6.0%
t 402
 
5.4%
l 395
 
5.3%
s 327
 
4.4%
m 285
 
3.8%
Other values (36) 2789
37.4%
Common
ValueCountFrequency (%)
586
26.2%
: 373
16.7%
. 159
 
7.1%
= 110
 
4.9%
1 90
 
4.0%
5 85
 
3.8%
0 80
 
3.6%
2 76
 
3.4%
3 73
 
3.3%
- 71
 
3.2%
Other values (13) 530
23.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9700
93.6%
Hangul 663
 
6.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 647
 
6.7%
e 586
 
6.0%
586
 
6.0%
o 563
 
5.8%
r 534
 
5.5%
i 493
 
5.1%
n 446
 
4.6%
t 402
 
4.1%
l 395
 
4.1%
: 373
 
3.8%
Other values (59) 4675
48.2%
Hangul
ValueCountFrequency (%)
40
 
6.0%
34
 
5.1%
34
 
5.1%
29
 
4.4%
20
 
3.0%
19
 
2.9%
17
 
2.6%
17
 
2.6%
16
 
2.4%
15
 
2.3%
Other values (101) 422
63.7%

UDS_VV
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing57
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean177.52308
Minimum2
Maximum410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:57.395806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile22.4
Q190
median128
Q3308
95-th percentile379.4
Maximum410
Range408
Interquartile range (IQR)218

Descriptive statistics

Standard deviation134.85927
Coefficient of variation (CV)0.75967179
Kurtosis-1.0567582
Mean177.52308
Median Absolute Deviation (MAD)73.2
Skewness0.593499
Sum2307.8
Variance18187.024
MonotonicityNot monotonic
2023-10-09T03:56:57.725156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
119.0 1
 
1.4%
185.0 1
 
1.4%
308.0 1
 
1.4%
359.0 1
 
1.4%
2.0 1
 
1.4%
128.0 1
 
1.4%
410.0 1
 
1.4%
90.0 1
 
1.4%
54.8 1
 
1.4%
36.0 1
 
1.4%
Other values (3) 3
 
4.3%
(Missing) 57
81.4%
ValueCountFrequency (%)
2.0 1
1.4%
36.0 1
1.4%
54.8 1
1.4%
90.0 1
1.4%
119.0 1
1.4%
123.0 1
1.4%
128.0 1
1.4%
141.0 1
1.4%
185.0 1
1.4%
308.0 1
1.4%
ValueCountFrequency (%)
410.0 1
1.4%
359.0 1
1.4%
352.0 1
1.4%
308.0 1
1.4%
185.0 1
1.4%
141.0 1
1.4%
128.0 1
1.4%
123.0 1
1.4%
119.0 1
1.4%
90.0 1
1.4%

UDS_QMAX
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)69.2%
Missing57
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean7.4923077
Minimum3
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:57.941447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.6
Q15
median7
Q38
95-th percentile15.14
Maximum17
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.9836042
Coefficient of variation (CV)0.53169255
Kurtosis1.8519498
Mean7.4923077
Median Absolute Deviation (MAD)2
Skewness1.4768212
Sum97.4
Variance15.869103
MonotonicityNot monotonic
2023-10-09T03:56:58.124671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7.0 3
 
4.3%
5.0 3
 
4.3%
13.9 1
 
1.4%
8.0 1
 
1.4%
3.0 1
 
1.4%
9.6 1
 
1.4%
5.9 1
 
1.4%
4.0 1
 
1.4%
17.0 1
 
1.4%
(Missing) 57
81.4%
ValueCountFrequency (%)
3.0 1
 
1.4%
4.0 1
 
1.4%
5.0 3
4.3%
5.9 1
 
1.4%
7.0 3
4.3%
8.0 1
 
1.4%
9.6 1
 
1.4%
13.9 1
 
1.4%
17.0 1
 
1.4%
ValueCountFrequency (%)
17.0 1
 
1.4%
13.9 1
 
1.4%
9.6 1
 
1.4%
8.0 1
 
1.4%
7.0 3
4.3%
5.9 1
 
1.4%
5.0 3
4.3%
4.0 1
 
1.4%
3.0 1
 
1.4%

UDS_RU
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)84.6%
Missing57
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean101.30769
Minimum0
Maximum460
Zeros2
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:58.330741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median40
Q3130
95-th percentile338.8
Maximum460
Range460
Interquartile range (IQR)110

Descriptive statistics

Standard deviation131.9112
Coefficient of variation (CV)1.3020847
Kurtosis4.0733458
Mean101.30769
Median Absolute Deviation (MAD)40
Skewness1.9735653
Sum1317
Variance17400.564
MonotonicityNot monotonic
2023-10-09T03:56:58.969219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 2
 
2.9%
30 2
 
2.9%
10 1
 
1.4%
40 1
 
1.4%
91 1
 
1.4%
258 1
 
1.4%
130 1
 
1.4%
170 1
 
1.4%
460 1
 
1.4%
78 1
 
1.4%
(Missing) 57
81.4%
ValueCountFrequency (%)
0 2
2.9%
10 1
1.4%
20 1
1.4%
30 2
2.9%
40 1
1.4%
78 1
1.4%
91 1
1.4%
130 1
1.4%
170 1
1.4%
258 1
1.4%
ValueCountFrequency (%)
460 1
1.4%
258 1
1.4%
170 1
1.4%
130 1
1.4%
91 1
1.4%
78 1
1.4%
40 1
1.4%
30 2
2.9%
20 1
1.4%
10 1
1.4%

BOOI
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)100.0%
Missing54
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean37.4375
Minimum0
Maximum113
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:56:59.178525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.5
Q119.75
median31
Q347.75
95-th percentile94.25
Maximum113
Range113
Interquartile range (IQR)28

Descriptive statistics

Standard deviation30.278637
Coefficient of variation (CV)0.80877827
Kurtosis1.5163866
Mean37.4375
Median Absolute Deviation (MAD)14
Skewness1.215636
Sum599
Variance916.79583
MonotonicityNot monotonic
2023-10-09T03:56:59.377381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
22 1
 
1.4%
9 1
 
1.4%
88 1
 
1.4%
26 1
 
1.4%
41 1
 
1.4%
50 1
 
1.4%
37 1
 
1.4%
20 1
 
1.4%
0 1
 
1.4%
2 1
 
1.4%
Other values (6) 6
 
8.6%
(Missing) 54
77.1%
ValueCountFrequency (%)
0 1
1.4%
2 1
1.4%
9 1
1.4%
19 1
1.4%
20 1
1.4%
22 1
1.4%
26 1
1.4%
29 1
1.4%
33 1
1.4%
37 1
1.4%
ValueCountFrequency (%)
113 1
1.4%
88 1
1.4%
63 1
1.4%
50 1
1.4%
47 1
1.4%
41 1
1.4%
37 1
1.4%
33 1
1.4%
29 1
1.4%
26 1
1.4%

BOOG
Categorical

IMBALANCE 

Distinct7
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
54 
I
II
 
4
III
 
2
IV
 
2
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.4714286
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st rowI
2nd rowI
3rd rowVI
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 54
77.1%
I 6
 
8.6%
II 4
 
5.7%
III 2
 
2.9%
IV 2
 
2.9%
VI 1
 
1.4%
V 1
 
1.4%

Length

2023-10-09T03:56:59.643587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:56:59.905692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
77.1%
i 6
 
8.6%
ii 4
 
5.7%
iii 2
 
2.9%
iv 2
 
2.9%
vi 1
 
1.4%
v 1
 
1.4%

BCI
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing54
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean84.875
Minimum5
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:00.257810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile54.5
Q177.25
median84.5
Q397.75
95-th percentile117
Maximum120
Range115
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation26.346094
Coefficient of variation (CV)0.31041053
Kurtosis5.3765112
Mean84.875
Median Absolute Deviation (MAD)12
Skewness-1.7345679
Sum1358
Variance694.11667
MonotonicityNot monotonic
2023-10-09T03:57:00.531721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
71 2
 
2.9%
90 1
 
1.4%
84 1
 
1.4%
120 1
 
1.4%
82 1
 
1.4%
89 1
 
1.4%
85 1
 
1.4%
112 1
 
1.4%
5 1
 
1.4%
103 1
 
1.4%
Other values (5) 5
 
7.1%
(Missing) 54
77.1%
ValueCountFrequency (%)
5 1
1.4%
71 2
2.9%
72 1
1.4%
79 1
1.4%
82 1
1.4%
83 1
1.4%
84 1
1.4%
85 1
1.4%
89 1
1.4%
90 1
1.4%
ValueCountFrequency (%)
120 1
1.4%
116 1
1.4%
112 1
1.4%
103 1
1.4%
96 1
1.4%
90 1
1.4%
89 1
1.4%
85 1
1.4%
84 1
1.4%
83 1
1.4%

OP_YN
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size202.0 B
False
63 
True
ValueCountFrequency (%)
False 63
90.0%
True 7
 
10.0%
2023-10-09T03:57:00.883469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

OP_EXECDD
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing63
Missing (%)90.0%
Memory size692.0 B
Minimum2013-12-10 00:00:00
Maximum2017-07-24 00:00:00
2023-10-09T03:57:01.260757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:57:01.447415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

OP_KIND
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
63 
2
 
4
0
 
3

Length

Max length4
Median length4
Mean length3.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 63
90.0%
2 4
 
5.7%
0 3
 
4.3%

Length

2023-10-09T03:57:01.650443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:57:01.859186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
90.0%
2 4
 
5.7%
0 3
 
4.3%

재수술
Boolean

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size202.0 B
False
70 
ValueCountFrequency (%)
False 70
100.0%
2023-10-09T03:57:02.116035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

ABLOCKER_YN
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)2.9%
Missing1
Missing (%)1.4%
Memory size272.0 B
True
68 
False
 
1
(Missing)
 
1
ValueCountFrequency (%)
True 68
97.1%
False 1
 
1.4%
(Missing) 1
 
1.4%
2023-10-09T03:57:02.367483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

ABLOCKER_DAYS
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)85.5%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1222.3333
Minimum0
Maximum2970
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:02.717232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q190
median1537
Q32126
95-th percentile2537.6
Maximum2970
Range2970
Interquartile range (IQR)2036

Descriptive statistics

Standard deviation995.51107
Coefficient of variation (CV)0.81443502
Kurtosis-1.6473594
Mean1222.3333
Median Absolute Deviation (MAD)853
Skewness-0.047035842
Sum84341
Variance991042.28
MonotonicityNot monotonic
2023-10-09T03:57:02.984217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 7
 
10.0%
2190 2
 
2.9%
2250 2
 
2.9%
7 2
 
2.9%
1802 2
 
2.9%
2189 1
 
1.4%
2170 1
 
1.4%
1808 1
 
1.4%
35 1
 
1.4%
69 1
 
1.4%
Other values (49) 49
70.0%
ValueCountFrequency (%)
0 1
 
1.4%
7 2
 
2.9%
10 7
10.0%
14 1
 
1.4%
17 1
 
1.4%
35 1
 
1.4%
60 1
 
1.4%
69 1
 
1.4%
74 1
 
1.4%
80 1
 
1.4%
ValueCountFrequency (%)
2970 1
1.4%
2714 1
1.4%
2671 1
1.4%
2546 1
1.4%
2525 1
1.4%
2481 1
1.4%
2445 1
1.4%
2434 1
1.4%
2384 1
1.4%
2280 1
1.4%

ANTICHOLIN_YN
Boolean

MISSING 

Distinct2
Distinct (%)2.9%
Missing1
Missing (%)1.4%
Memory size272.0 B
False
42 
True
27 
(Missing)
 
1
ValueCountFrequency (%)
False 42
60.0%
True 27
38.6%
(Missing) 1
 
1.4%
2023-10-09T03:57:03.280207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

ANTICHOLIN_DAYS
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)36.2%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean263.68116
Minimum0
Maximum2461
Zeros42
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:03.561759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3225
95-th percentile1524
Maximum2461
Range2461
Interquartile range (IQR)225

Descriptive statistics

Standard deviation546.42395
Coefficient of variation (CV)2.0722905
Kurtosis5.6625574
Mean263.68116
Median Absolute Deviation (MAD)0
Skewness2.4532031
Sum18194
Variance298579.13
MonotonicityNot monotonic
2023-10-09T03:57:03.843604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 42
60.0%
30 4
 
5.7%
97 1
 
1.4%
600 1
 
1.4%
2461 1
 
1.4%
1620 1
 
1.4%
750 1
 
1.4%
1864 1
 
1.4%
1140 1
 
1.4%
1083 1
 
1.4%
Other values (15) 15
 
21.4%
ValueCountFrequency (%)
0 42
60.0%
12 1
 
1.4%
30 4
 
5.7%
60 1
 
1.4%
63 1
 
1.4%
97 1
 
1.4%
155 1
 
1.4%
225 1
 
1.4%
300 1
 
1.4%
360 1
 
1.4%
ValueCountFrequency (%)
2461 1
1.4%
2129 1
1.4%
1864 1
1.4%
1620 1
1.4%
1380 1
1.4%
1140 1
1.4%
1083 1
1.4%
1020 1
1.4%
976 1
1.4%
750 1
1.4%

5ARI_YN
Boolean

MISSING 

Distinct2
Distinct (%)2.9%
Missing1
Missing (%)1.4%
Memory size272.0 B
False
45 
True
24 
(Missing)
 
1
ValueCountFrequency (%)
False 45
64.3%
True 24
34.3%
(Missing) 1
 
1.4%
2023-10-09T03:57:04.088441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

5ARI_DAYS
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)33.3%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean234.72464
Minimum0
Maximum2580
Zeros45
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:04.476711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3129
95-th percentile1260
Maximum2580
Range2580
Interquartile range (IQR)129

Descriptive statistics

Standard deviation543.53835
Coefficient of variation (CV)2.3156425
Kurtosis9.4117699
Mean234.72464
Median Absolute Deviation (MAD)0
Skewness3.0028356
Sum16196
Variance295433.94
MonotonicityNot monotonic
2023-10-09T03:57:05.312521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 45
64.3%
1260 2
 
2.9%
750 2
 
2.9%
480 1
 
1.4%
5 1
 
1.4%
308 1
 
1.4%
14 1
 
1.4%
2580 1
 
1.4%
86 1
 
1.4%
776 1
 
1.4%
Other values (13) 13
 
18.6%
ValueCountFrequency (%)
0 45
64.3%
1 1
 
1.4%
5 1
 
1.4%
14 1
 
1.4%
30 1
 
1.4%
86 1
 
1.4%
99 1
 
1.4%
129 1
 
1.4%
217 1
 
1.4%
218 1
 
1.4%
ValueCountFrequency (%)
2580 1
1.4%
2572 1
1.4%
1680 1
1.4%
1260 2
2.9%
1255 1
1.4%
776 1
1.4%
750 2
2.9%
720 1
1.4%
480 1
1.4%
405 1
1.4%

PDE5I_YN
Boolean

MISSING 

Distinct2
Distinct (%)2.9%
Missing1
Missing (%)1.4%
Memory size272.0 B
False
45 
True
24 
(Missing)
 
1
ValueCountFrequency (%)
False 45
64.3%
True 24
34.3%
(Missing) 1
 
1.4%
2023-10-09T03:57:05.860716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

PDE5I_DAYS
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)30.4%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean69
Minimum0
Maximum1000
Zeros45
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:06.436292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q336
95-th percentile258.8
Maximum1000
Range1000
Interquartile range (IQR)36

Descriptive statistics

Standard deviation191.97488
Coefficient of variation (CV)2.7822446
Kurtosis16.508757
Mean69
Median Absolute Deviation (MAD)0
Skewness4.0104101
Sum4761
Variance36854.353
MonotonicityNot monotonic
2023-10-09T03:57:06.829925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 45
64.3%
2 2
 
2.9%
180 2
 
2.9%
30 2
 
2.9%
90 2
 
2.9%
280 1
 
1.4%
992 1
 
1.4%
40 1
 
1.4%
720 1
 
1.4%
36 1
 
1.4%
Other values (11) 11
 
15.7%
ValueCountFrequency (%)
0 45
64.3%
2 2
 
2.9%
4 1
 
1.4%
30 2
 
2.9%
32 1
 
1.4%
36 1
 
1.4%
40 1
 
1.4%
54 1
 
1.4%
66 1
 
1.4%
90 2
 
2.9%
ValueCountFrequency (%)
1000 1
1.4%
992 1
1.4%
720 1
1.4%
280 1
1.4%
227 1
1.4%
220 1
1.4%
180 2
2.9%
136 1
1.4%
130 1
1.4%
120 1
1.4%

DESMOPRESSIN_YN
Boolean

MISSING 

Distinct2
Distinct (%)2.9%
Missing1
Missing (%)1.4%
Memory size272.0 B
False
54 
True
15 
(Missing)
 
1
ValueCountFrequency (%)
False 54
77.1%
True 15
 
21.4%
(Missing) 1
 
1.4%
2023-10-09T03:57:07.038603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

DESMOPRESSIN_DAYS
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)21.7%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean195.75362
Minimum0
Maximum2640
Zeros54
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:07.235052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1788.6
Maximum2640
Range2640
Interquartile range (IQR)0

Descriptive statistics

Standard deviation557.05825
Coefficient of variation (CV)2.8457111
Kurtosis9.5192155
Mean195.75362
Median Absolute Deviation (MAD)0
Skewness3.2044884
Sum13507
Variance310313.89
MonotonicityNot monotonic
2023-10-09T03:57:07.467045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 54
77.1%
180 2
 
2.9%
861 1
 
1.4%
335 1
 
1.4%
2250 1
 
1.4%
90 1
 
1.4%
2640 1
 
1.4%
390 1
 
1.4%
300 1
 
1.4%
1710 1
 
1.4%
Other values (5) 5
 
7.1%
ValueCountFrequency (%)
0 54
77.1%
5 1
 
1.4%
90 1
 
1.4%
134 1
 
1.4%
180 2
 
2.9%
300 1
 
1.4%
335 1
 
1.4%
390 1
 
1.4%
641 1
 
1.4%
861 1
 
1.4%
ValueCountFrequency (%)
2640 1
1.4%
2250 1
1.4%
1950 1
1.4%
1841 1
1.4%
1710 1
1.4%
861 1
1.4%
641 1
1.4%
390 1
1.4%
335 1
1.4%
300 1
1.4%

5YUFM_QMAX
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YUFM_VV
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YUFM_RU
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS_TOTAL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS_VOIDING
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

5YIPSS_STORAGE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

BASELINE
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
최초진단일
63 
최초수술일

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row최초진단일
2nd row최초진단일
3rd row최초진단일
4th row최초진단일
5th row최초진단일

Common Values

ValueCountFrequency (%)
최초진단일 63
90.0%
최초수술일 7
 
10.0%

Length

2023-10-09T03:57:07.707340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:57:07.936587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최초진단일 63
90.0%
최초수술일 7
 
10.0%
Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2010-07-30 00:00:00
Maximum2017-07-24 00:00:00
2023-10-09T03:57:08.142445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:57:08.450339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

VDG0100
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing6
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean11.738656
Minimum0.076
Maximum152.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:08.742464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.076
5-th percentile0.25495
Q10.8735
median2.275
Q35.4275
95-th percentile80.7875
Maximum152.8
Range152.724
Interquartile range (IQR)4.554

Descriptive statistics

Standard deviation28.908138
Coefficient of variation (CV)2.4626445
Kurtosis12.918474
Mean11.738656
Median Absolute Deviation (MAD)1.773
Skewness3.5879894
Sum751.274
Variance835.68042
MonotonicityNot monotonic
2023-10-09T03:57:09.007613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.141 1
 
1.4%
0.241 1
 
1.4%
5.25 1
 
1.4%
0.992 1
 
1.4%
0.58 1
 
1.4%
0.884 1
 
1.4%
4.18 1
 
1.4%
0.492 1
 
1.4%
0.076 1
 
1.4%
4.41 1
 
1.4%
Other values (54) 54
77.1%
(Missing) 6
 
8.6%
ValueCountFrequency (%)
0.076 1
1.4%
0.141 1
1.4%
0.234 1
1.4%
0.241 1
1.4%
0.334 1
1.4%
0.442 1
1.4%
0.473 1
1.4%
0.492 1
1.4%
0.512 1
1.4%
0.518 1
1.4%
ValueCountFrequency (%)
152.8 1
1.4%
125.3 1
1.4%
94.31 1
1.4%
84.68 1
1.4%
58.73 1
1.4%
32.54 1
1.4%
26.39 1
1.4%
17.74 1
1.4%
11.77 1
1.4%
9.3 1
1.4%

VOP0100
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
66 
2.73
 
1
32.54
 
1
0.076
 
1
2.18
 
1

Length

Max length5
Median length4
Mean length4.0285714
Min length4

Unique

Unique4 ?
Unique (%)5.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 66
94.3%
2.73 1
 
1.4%
32.54 1
 
1.4%
0.076 1
 
1.4%
2.18 1
 
1.4%

Length

2023-10-09T03:57:09.302302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:57:09.498725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
94.3%
2.73 1
 
1.4%
32.54 1
 
1.4%
0.076 1
 
1.4%
2.18 1
 
1.4%

V010100
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing56
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean5.6375
Minimum0.015
Maximum27.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:09.663000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.015
5-th percentile0.0696
Q10.91775
median4.065
Q36.5375
95-th percentile16.9475
Maximum27.38
Range27.365
Interquartile range (IQR)5.61975

Descriptive statistics

Standard deviation7.1135874
Coefficient of variation (CV)1.2618337
Kurtosis7.0662934
Mean5.6375
Median Absolute Deviation (MAD)3.1205
Skewness2.4330356
Sum78.925
Variance50.603125
MonotonicityNot monotonic
2023-10-09T03:57:10.124820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.97 1
 
1.4%
4.16 1
 
1.4%
6.29 1
 
1.4%
27.38 1
 
1.4%
5.88 1
 
1.4%
0.015 1
 
1.4%
0.891 1
 
1.4%
6.62 1
 
1.4%
0.552 1
 
1.4%
0.099 1
 
1.4%
Other values (4) 4
 
5.7%
(Missing) 56
80.0%
ValueCountFrequency (%)
0.015 1
1.4%
0.099 1
1.4%
0.552 1
1.4%
0.891 1
1.4%
0.998 1
1.4%
2.73 1
1.4%
3.97 1
1.4%
4.16 1
1.4%
5.88 1
1.4%
6.29 1
1.4%
ValueCountFrequency (%)
27.38 1
1.4%
11.33 1
1.4%
8.01 1
1.4%
6.62 1
1.4%
6.29 1
1.4%
5.88 1
1.4%
4.16 1
1.4%
3.97 1
1.4%
2.73 1
1.4%
0.998 1
1.4%

V020100
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)90.0%
Missing50
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean10.3914
Minimum0.003
Maximum170.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:10.389620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.003
Q10.03875
median0.68
Q33.95
95-th percentile18.9885
Maximum170.2
Range170.197
Interquartile range (IQR)3.91125

Descriptive statistics

Standard deviation37.728079
Coefficient of variation (CV)3.6307022
Kurtosis19.720865
Mean10.3914
Median Absolute Deviation (MAD)0.677
Skewness4.4285338
Sum207.828
Variance1423.4079
MonotonicityNot monotonic
2023-10-09T03:57:10.639745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.003 3
 
4.3%
3.71 1
 
1.4%
0.134 1
 
1.4%
0.629 1
 
1.4%
4.95 1
 
1.4%
4.67 1
 
1.4%
0.017 1
 
1.4%
0.455 1
 
1.4%
1.28 1
 
1.4%
170.2 1
 
1.4%
Other values (8) 8
 
11.4%
(Missing) 50
71.4%
ValueCountFrequency (%)
0.003 3
4.3%
0.007 1
 
1.4%
0.017 1
 
1.4%
0.046 1
 
1.4%
0.134 1
 
1.4%
0.22 1
 
1.4%
0.455 1
 
1.4%
0.629 1
 
1.4%
0.731 1
 
1.4%
1.28 1
 
1.4%
ValueCountFrequency (%)
170.2 1
1.4%
11.03 1
1.4%
6.91 1
1.4%
4.95 1
1.4%
4.67 1
1.4%
3.71 1
1.4%
1.44 1
1.4%
1.39 1
1.4%
1.28 1
1.4%
0.731 1
1.4%

V030100
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)80.8%
Missing44
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean1.9566538
Minimum0.003
Maximum10.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:10.924840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.003
Q10.00725
median0.8065
Q32.3775
95-th percentile8.0375
Maximum10.67
Range10.667
Interquartile range (IQR)2.37025

Descriptive statistics

Standard deviation2.7937947
Coefficient of variation (CV)1.4278431
Kurtosis3.6191908
Mean1.9566538
Median Absolute Deviation (MAD)0.8035
Skewness1.9602038
Sum50.873
Variance7.8052888
MonotonicityNot monotonic
2023-10-09T03:57:11.186699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.003 6
 
8.6%
0.96 1
 
1.4%
4.36 1
 
1.4%
0.017 1
 
1.4%
1.98 1
 
1.4%
0.72 1
 
1.4%
0.559 1
 
1.4%
8.83 1
 
1.4%
10.67 1
 
1.4%
0.469 1
 
1.4%
Other values (11) 11
 
15.7%
(Missing) 44
62.9%
ValueCountFrequency (%)
0.003 6
8.6%
0.007 1
 
1.4%
0.008 1
 
1.4%
0.017 1
 
1.4%
0.469 1
 
1.4%
0.532 1
 
1.4%
0.559 1
 
1.4%
0.72 1
 
1.4%
0.893 1
 
1.4%
0.96 1
 
1.4%
ValueCountFrequency (%)
10.67 1
1.4%
8.83 1
1.4%
5.66 1
1.4%
4.38 1
1.4%
4.36 1
1.4%
3.13 1
1.4%
2.38 1
1.4%
2.37 1
1.4%
1.98 1
1.4%
1.84 1
1.4%

V040100
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)78.3%
Missing47
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean2.3564783
Minimum0.003
Maximum10.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:11.383041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.003
Q10.0085
median0.578
Q33.73
95-th percentile10.014
Maximum10.35
Range10.347
Interquartile range (IQR)3.7215

Descriptive statistics

Standard deviation3.4111872
Coefficient of variation (CV)1.4475785
Kurtosis0.82797154
Mean2.3564783
Median Absolute Deviation (MAD)0.575
Skewness1.4306883
Sum54.199
Variance11.636198
MonotonicityNot monotonic
2023-10-09T03:57:11.772509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.003 5
 
7.1%
0.011 2
 
2.9%
10.31 1
 
1.4%
0.387 1
 
1.4%
0.894 1
 
1.4%
3.42 1
 
1.4%
10.35 1
 
1.4%
7.31 1
 
1.4%
7.35 1
 
1.4%
4.04 1
 
1.4%
Other values (8) 8
 
11.4%
(Missing) 47
67.1%
ValueCountFrequency (%)
0.003 5
7.1%
0.006 1
 
1.4%
0.011 2
 
2.9%
0.088 1
 
1.4%
0.27 1
 
1.4%
0.387 1
 
1.4%
0.578 1
 
1.4%
0.669 1
 
1.4%
0.894 1
 
1.4%
1.09 1
 
1.4%
ValueCountFrequency (%)
10.35 1
1.4%
10.31 1
1.4%
7.35 1
1.4%
7.31 1
1.4%
5.19 1
1.4%
4.04 1
1.4%
3.42 1
1.4%
2.21 1
1.4%
1.09 1
1.4%
0.894 1
1.4%

V050100
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)88.1%
Missing28
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1.526381
Minimum0.003
Maximum10.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:12.244885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.003
Q10.07475
median0.804
Q31.58
95-th percentile6.222
Maximum10.54
Range10.537
Interquartile range (IQR)1.50525

Descriptive statistics

Standard deviation2.2129112
Coefficient of variation (CV)1.4497765
Kurtosis6.6534298
Mean1.526381
Median Absolute Deviation (MAD)0.753
Skewness2.4600482
Sum64.108
Variance4.8969759
MonotonicityNot monotonic
2023-10-09T03:57:12.478347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.003 6
 
8.6%
1.02 1
 
1.4%
0.93 1
 
1.4%
0.026 1
 
1.4%
0.063 1
 
1.4%
3.79 1
 
1.4%
0.044 1
 
1.4%
5.69 1
 
1.4%
2.0 1
 
1.4%
2.47 1
 
1.4%
Other values (27) 27
38.6%
(Missing) 28
40.0%
ValueCountFrequency (%)
0.003 6
8.6%
0.005 1
 
1.4%
0.014 1
 
1.4%
0.026 1
 
1.4%
0.044 1
 
1.4%
0.063 1
 
1.4%
0.11 1
 
1.4%
0.157 1
 
1.4%
0.294 1
 
1.4%
0.321 1
 
1.4%
ValueCountFrequency (%)
10.54 1
1.4%
6.97 1
1.4%
6.25 1
1.4%
5.69 1
1.4%
3.79 1
1.4%
3.49 1
1.4%
2.8 1
1.4%
2.47 1
1.4%
2.0 1
1.4%
1.64 1
1.4%

V060100
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)91.4%
Missing12
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean2.1612586
Minimum0.003
Maximum11.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:13.213858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.003
Q10.33325
median1.245
Q32.2625
95-th percentile7.5715
Maximum11.2
Range11.197
Interquartile range (IQR)1.92925

Descriptive statistics

Standard deviation2.649201
Coefficient of variation (CV)1.2257677
Kurtosis2.5957396
Mean2.1612586
Median Absolute Deviation (MAD)0.97
Skewness1.7528978
Sum125.353
Variance7.0182658
MonotonicityNot monotonic
2023-10-09T03:57:14.616699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.003 6
 
8.6%
1.08 1
 
1.4%
4.87 1
 
1.4%
0.722 1
 
1.4%
0.525 1
 
1.4%
1.27 1
 
1.4%
0.82 1
 
1.4%
0.076 1
 
1.4%
0.877 1
 
1.4%
0.078 1
 
1.4%
Other values (43) 43
61.4%
(Missing) 12
 
17.1%
ValueCountFrequency (%)
0.003 6
8.6%
0.012 1
 
1.4%
0.016 1
 
1.4%
0.03 1
 
1.4%
0.076 1
 
1.4%
0.078 1
 
1.4%
0.137 1
 
1.4%
0.154 1
 
1.4%
0.27 1
 
1.4%
0.292 1
 
1.4%
ValueCountFrequency (%)
11.2 1
1.4%
10.03 1
1.4%
8.43 1
1.4%
7.42 1
1.4%
7.02 1
1.4%
6.41 1
1.4%
5.89 1
1.4%
5.88 1
1.4%
4.87 1
1.4%
4.46 1
1.4%

V070100
Real number (ℝ)

Distinct65
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6881286
Minimum0.003
Maximum245.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:15.535872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.003
Q10.4295
median1.0735
Q32.2225
95-th percentile9.1475
Maximum245.3
Range245.297
Interquartile range (IQR)1.793

Descriptive statistics

Standard deviation29.240594
Coefficient of variation (CV)5.1406352
Kurtosis68.154044
Mean5.6881286
Median Absolute Deviation (MAD)0.8035
Skewness8.207391
Sum398.169
Variance855.01234
MonotonicityNot monotonic
2023-10-09T03:57:16.149766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.003 5
 
7.1%
1.16 2
 
2.9%
2.23 1
 
1.4%
2.74 1
 
1.4%
0.331 1
 
1.4%
0.543 1
 
1.4%
0.643 1
 
1.4%
1.34 1
 
1.4%
0.912 1
 
1.4%
0.035 1
 
1.4%
Other values (55) 55
78.6%
ValueCountFrequency (%)
0.003 5
7.1%
0.007 1
 
1.4%
0.008 1
 
1.4%
0.023 1
 
1.4%
0.035 1
 
1.4%
0.05 1
 
1.4%
0.06 1
 
1.4%
0.106 1
 
1.4%
0.181 1
 
1.4%
0.262 1
 
1.4%
ValueCountFrequency (%)
245.3 1
1.4%
20.36 1
1.4%
9.79 1
1.4%
9.53 1
1.4%
8.68 1
1.4%
8.38 1
1.4%
7.55 1
1.4%
6.71 1
1.4%
6.16 1
1.4%
6.01 1
1.4%

V080100
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)91.2%
Missing13
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean12.586842
Minimum0.003
Maximum616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:16.437701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.003
Q10.283
median1.18
Q32.1
95-th percentile7
Maximum616
Range615.997
Interquartile range (IQR)1.817

Descriptive statistics

Standard deviation81.38422
Coefficient of variation (CV)6.4658172
Kurtosis56.902602
Mean12.586842
Median Absolute Deviation (MAD)0.92
Skewness7.5403756
Sum717.45
Variance6623.3913
MonotonicityNot monotonic
2023-10-09T03:57:16.689936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.003 4
 
5.7%
2.1 2
 
2.9%
0.006 2
 
2.9%
8.4 1
 
1.4%
0.51 1
 
1.4%
1.89 1
 
1.4%
0.013 1
 
1.4%
1.79 1
 
1.4%
0.053 1
 
1.4%
3.81 1
 
1.4%
Other values (42) 42
60.0%
(Missing) 13
 
18.6%
ValueCountFrequency (%)
0.003 4
5.7%
0.006 2
2.9%
0.007 1
 
1.4%
0.013 1
 
1.4%
0.015 1
 
1.4%
0.022 1
 
1.4%
0.048 1
 
1.4%
0.053 1
 
1.4%
0.068 1
 
1.4%
0.153 1
 
1.4%
ValueCountFrequency (%)
616.0 1
1.4%
11.48 1
1.4%
8.4 1
1.4%
6.65 1
1.4%
6.26 1
1.4%
5.78 1
1.4%
5.03 1
1.4%
4.82 1
1.4%
4.37 1
1.4%
3.89 1
1.4%

V090100
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)91.0%
Missing3
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean7.269403
Minimum0.003
Maximum388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-10-09T03:57:16.950860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.006
Q10.346
median1.06
Q32.11
95-th percentile6.144
Maximum388
Range387.997
Interquartile range (IQR)1.764

Descriptive statistics

Standard deviation47.250217
Coefficient of variation (CV)6.4998758
Kurtosis66.811351
Mean7.269403
Median Absolute Deviation (MAD)0.82
Skewness8.168407
Sum487.05
Variance2232.583
MonotonicityNot monotonic
2023-10-09T03:57:17.221680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.006 5
 
7.1%
0.003 3
 
4.3%
0.437 1
 
1.4%
4.24 1
 
1.4%
0.171 1
 
1.4%
1.9 1
 
1.4%
0.406 1
 
1.4%
0.717 1
 
1.4%
0.497 1
 
1.4%
1.18 1
 
1.4%
Other values (51) 51
72.9%
(Missing) 3
 
4.3%
ValueCountFrequency (%)
0.003 3
4.3%
0.006 5
7.1%
0.024 1
 
1.4%
0.028 1
 
1.4%
0.033 1
 
1.4%
0.057 1
 
1.4%
0.077 1
 
1.4%
0.171 1
 
1.4%
0.279 1
 
1.4%
0.337 1
 
1.4%
ValueCountFrequency (%)
388.0 1
1.4%
7.29 1
1.4%
7.05 1
1.4%
6.36 1
1.4%
5.64 1
1.4%
4.71 1
1.4%
4.47 1
1.4%
4.24 1
1.4%
3.97 1
1.4%
3.2 1
1.4%

Sample

RIDC61_YNDIAGDD_C61DIAG_AGEDIAGDDBDHTBDWTFU_LAST_DTFU_MONTHSDOAD_DDHIST_DM_YNHIST_DM_DDHIST_HTN_YNHIST_HTN_DDHIST_DYSLIPIDEMIA_YNHIST_DYSLIPIDEMIA_DDHIST_CAD_YNHIST_CAD_DDHIST_CVA_YNHIST_CVA_DDHIST_CKD_YNHIST_CKD_DDHIST_CPD_YNHIST_CPD_DDHIST_CLD_YNHIST_CLD_DDHIST_MALIGNANCY_YNHIST_MALIGNANCY_DDTRUS_TMPLRSLTTRUS_SIZETRUS_YMDPSA_RSLTPSA_BCOLLDDIPSS1IPSS2IPSS3IPSS4IPSS5IPSS6IPSS7IPSS8TOTAL_IPSSIPSS_VOIDINGIPSS_STORAGEUROFLOW_YNUROFLOW_TDDUROFLOW_TIDUROFLOW_PDDVVQMAXRUUDS_YNUDS_TDTMPLRSLTUDS_VVUDS_QMAXUDS_RUBOOIBOOGBCIOP_YNOP_EXECDDOP_KIND재수술ABLOCKER_YNABLOCKER_DAYSANTICHOLIN_YNANTICHOLIN_DAYS5ARI_YN5ARI_DAYSPDE5I_YNPDE5I_DAYSDESMOPRESSIN_YNDESMOPRESSIN_DAYS5YUFM_QMAX5YUFM_VV5YUFM_RU5YIPSS15YIPSS25YIPSS35YIPSS45YIPSS55YIPSS65YIPSS75YIPSS85YIPSS_TOTAL5YIPSS_VOIDING5YIPSS_STORAGEBASELINEBASELINE_DDVDG0100VOP0100V010100V020100V030100V040100V050100V060100V070100V080100V090100
0BPH001Y2012-08-17652012-08-03168.068.02021-09-27109<NA><NA>22014-02-1822018-01-1222014-01-213<NA>3<NA>3<NA>3<NA>3<NA>22012-08-17U/SFinding: Size:40 TZ:9 DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-40.02012-08-03125.32012-08-03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>Y2012-09-121.Uroflow: TotalVol:119 Qmax:13.9 ResidualUrine:10 PressureFlow: TotalVol:538 Qmax:10 ResidualUrine:0 2.DetrusorUninhibitedContraction:- 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:538 6.MaximalUrethralClosurePressure:57 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:frequency PHx:prostateca(LRPOP예정) PdetQmax=40Qmax=10 BOOI=40-2x10=20(equivocal) BCI=40+5x10=90(weak) schafernomogram=BOOGI imp)BOOGI R1허경재119.013.91020I90N<NA><NA>NY755Y97N0Y2Y861<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2012-08-03125.3<NA><NA>170.20.0030.0030.0030.0030.0030.0030.003
1BPH002N<NA>442016-12-19177.0112.02018-08-2020<NA><NA>3<NA>22016-12-193<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>U/SFinding: Size:32.8 TZ:9.09 HypoechogenicLesion:, Remarks: 검사시통증,특이호소없음 검사후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Soft Tenderness:- Nodule:-32.82016-11-020.7182016-11-01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2017-01-2310330858772016-12-26<NA><NA><NA>Y2016-12-261.Uroflow: TotalVol:185 Qmax:7 ResidualUrine:0 PressureFlow: TotalVol:357 Qmax:12 ResidualUrine:0 2.DetrusorUninhibitedContraction:- 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:357 6.MaximalUrethralClosurePressure:61 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:VD,freuqnecy,urgency PHx:TA(요추추간판탈출증) <UDSfinding> -Storagephase Detrusoractivity:normal Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal Urethralfunction:PdetQmax=24Qmax=12 BOOI=24-2x12=0(noobstruction) BCI=24+5x12=84(weak) schafernomogram=BOOG0(detrusorweak) ->지속적인urgency호소함.Det.uninhibitedcontraction은없었음.다른특이사항없음. 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN김태운/pf김세웅185.07.000I84N<NA><NA>NY2126Y450N0Y1000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2016-12-190.718<NA><NA><NA><NA><NA><NA><NA>0.71<NA><NA>
2BPH003Y2019-09-17872017-02-02165.059.02021-08-1754<NA><NA>3<NA>12017-01-1212017-01-263<NA>3<NA>12017-01-1222017-05-263<NA>22019-09-17U/SFinding: Size:41.8 TZ:12.7 HypoechogenicLesion:. DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-41.82017-01-2484.682017-01-24<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>Y2017-02-27PressureFlow: TotalVol:16 Qmax:1 ResidualUrine:263 2.DetrusorUninhibitedContraction:+ 3.Compliance:Poor 4.VoidingSense:+ 5.MaximalCystometricCapacity:260 6.MaximalUrethralClosurePressure:14 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:voidingdifficulty/hesitancy/frequency/residualurinationsense/nocturia*2 PHx:BPHcbilat.HNP <UDSfinding> -Storagephase Detrusoractivity:DO(idiopathic) Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal BOOI=115-2x1=113 BCI=115+5x1=120 schafernomogram=BOOGVI imp)BOOGVI,Detrusoroveractivity 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN.박성진/Dr.박용현 selfvoidingfail함.<NA><NA><NA>113VI120N<NA><NA>NY132Y12Y129N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2017-02-0284.68<NA><NA><NA><NA><NA><NA><NA>245.3616.0388.0
3BPH004N<NA>452013-12-02<NA><NA>2014-01-061<NA><NA>3<NA>12003-03-173<NA>3<NA>3<NA>3<NA>11998-08-063<NA>11999-04-23U/SFinding: Size:21.3 TZ:3.38 Remarks:검사후통증없음.귀가후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-21.32013-12-021.082013-09-03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY74N0N0N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2013-12-02<NA><NA><NA><NA>1.09<NA>1.04<NA>0.987<NA>1.02
4BPH005Y2017-06-19772014-07-15168.070.02021-09-1485<NA><NA>22014-07-153<NA>22016-01-043<NA>3<NA>3<NA>12014-06-2712002-01-2922017-06-19U/SFinding: Size:51.9 TZ:8.83 Remarks:검사후통증없음.귀가후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-51.92014-07-078.042014-07-03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2014-07-077917543632014-07-05<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY1827Y155N0N0Y335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2014-07-158.04<NA>3.97<NA><NA><NA><NA>6.419.530.2980.437
5BPH006N<NA>662013-12-24175.077.52021-07-1290<NA><NA>12012-12-0411999-04-1522016-12-2011999-03-243<NA>3<NA>3<NA>3<NA>12013-11-29U/SFinding: Size:33.5 TZ:3.99 DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-33.52013-11-280.2342013-11-28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2013-11-287366375002013-11-28<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY2970N0Y720N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2013-12-240.234<NA><NA><NA><NA><NA>1.02<NA>0.9090.810.689
6BPH007N<NA>622015-08-19168.083.02021-04-2168<NA><NA>22016-12-2112011-07-053<NA>3<NA>3<NA>3<NA>12011-07-0512013-02-0612011-07-26U/SFinding: Size:64.6 TZ:19.1 Remarks: 검사후통증없음. 귀가후주의사항설명함. DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-64.62015-08-191.822015-08-12<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2015-08-198486374712015-02-11<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY480N0Y480N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2015-08-191.82<NA><NA><NA>0.96<NA>0.931.082.272.012.13
7BPH008Y2016-04-21562016-04-07174.086.02021-05-3161<NA><NA>22018-07-303<NA>12005-10-203<NA>22016-08-203<NA>3<NA>12004-12-2822016-04-21U/SFinding: Size:51.8 TZ:5.6 HypoechogenicLesion:, Remarks: 검사후통증없음. 귀가후주의사항설명함. r4.박정우/pf.이지열 DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-51.82016-04-0717.742016-04-07<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2016-04-079601154682016-04-07<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY10N0N0Y227N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2016-04-0717.74<NA><NA>0.0030.0030.0030.0030.0030.0030.0060.006
8BPH009N<NA>692015-11-10170.074.02018-05-0829<NA><NA>12015-07-2412014-10-0312014-08-253<NA>3<NA>3<NA>22016-03-143<NA>3<NA>U/SFinding: Size:43.9 TZ:7.55 HypoechogenicLesion:, Remarks: 검사후통증없음. 귀가후주의사항설명함. DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-43.92015-11-100.5122015-11-10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2016-06-099268479272015-12-08<NA><NA><NA>Y2017-07-171.Uroflow: TotalVol:308 Qmax:7 ResidualUrine:40 PressureFlow: TotalVol:353 Qmax:5 ResidualUrine:80 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:435 6.MaximalUrethralClosurePressure:91 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:VD PHx:BPH(수술예정) <UDSfinding> -Storagephase Detrusoractivity:normal Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal Urethralfunction:PdetQmax=57Qmax=5 BOOI=57-2x5=47(OBSTRUCTION) BCI=57+5x5=82(WEAK) schafernomogram=BOOGIII imp)BOOGIII 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN김태운/pf김세웅308.07.04047III82N<NA><NA>NY752N0Y1N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2015-11-100.512<NA><NA><NA><NA><NA>0.465<NA>0.523<NA>0.615
9BPH010Y2017-09-07692014-05-20173.065.02021-05-1883<NA><NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>22017-09-07U/SFinding: Size:45.1 TZ:6.95 DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-45.12014-05-204.672014-05-20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2014-06-177798083442014-05-20<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY2525Y225Y405N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2014-05-204.67<NA>4.16<NA>4.36<NA><NA>4.875.260.3090.407
RIDC61_YNDIAGDD_C61DIAG_AGEDIAGDDBDHTBDWTFU_LAST_DTFU_MONTHSDOAD_DDHIST_DM_YNHIST_DM_DDHIST_HTN_YNHIST_HTN_DDHIST_DYSLIPIDEMIA_YNHIST_DYSLIPIDEMIA_DDHIST_CAD_YNHIST_CAD_DDHIST_CVA_YNHIST_CVA_DDHIST_CKD_YNHIST_CKD_DDHIST_CPD_YNHIST_CPD_DDHIST_CLD_YNHIST_CLD_DDHIST_MALIGNANCY_YNHIST_MALIGNANCY_DDTRUS_TMPLRSLTTRUS_SIZETRUS_YMDPSA_RSLTPSA_BCOLLDDIPSS1IPSS2IPSS3IPSS4IPSS5IPSS6IPSS7IPSS8TOTAL_IPSSIPSS_VOIDINGIPSS_STORAGEUROFLOW_YNUROFLOW_TDDUROFLOW_TIDUROFLOW_PDDVVQMAXRUUDS_YNUDS_TDTMPLRSLTUDS_VVUDS_QMAXUDS_RUBOOIBOOGBCIOP_YNOP_EXECDDOP_KIND재수술ABLOCKER_YNABLOCKER_DAYSANTICHOLIN_YNANTICHOLIN_DAYS5ARI_YN5ARI_DAYSPDE5I_YNPDE5I_DAYSDESMOPRESSIN_YNDESMOPRESSIN_DAYS5YUFM_QMAX5YUFM_VV5YUFM_RU5YIPSS15YIPSS25YIPSS35YIPSS45YIPSS55YIPSS65YIPSS75YIPSS85YIPSS_TOTAL5YIPSS_VOIDING5YIPSS_STORAGEBASELINEBASELINE_DDVDG0100VOP0100V010100V020100V030100V040100V050100V060100V070100V080100V090100
60BPH061N<NA>532014-04-03172.078.02018-06-2550<NA><NA>22017-07-2422017-07-2422017-07-243<NA>3<NA>3<NA>3<NA>3<NA>3<NA>U/SFinding: Size:21.9 TZ:3.87 Remarks: 검사중통증없음 검사후주의사항에대하여설명함 R3.허경재/Pf.김세웅 DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-21.92014-04-030.5182014-04-03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2014-04-037679029342014-04-03<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY180N0N0Y720N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2014-04-030.518<NA><NA>0.6290.559<NA>0.5130.7750.6080.7650.44
61BPH062N<NA>592015-01-02<NA><NA>2021-08-1079<NA><NA>3<NA>12014-03-0712014-03-073<NA>3<NA>22017-05-303<NA>3<NA>3<NA>U/SFinding: Size:39.7 TZ:7.71 DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-39.72015-01-021.072015-01-02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2015-01-028379793012015-01-02<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY2546N0Y86N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2015-01-021.07<NA><NA><NA><NA><NA>1.031.661.481.921.13
62BPH063N<NA>482014-01-07169.466.72021-01-0784<NA><NA>22017-09-273<NA>22014-04-033<NA>3<NA>3<NA>3<NA>22015-06-103<NA>U/SFinding: Size:18.9 TZ:1.83 Remarks:검사후통증없음.귀가후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Not Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-18.92014-01-070.3342014-01-07<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2014-01-147463305642014-01-07<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY2671Y1620N0N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2014-01-070.334<NA><NA><NA><NA><NA>0.294<NA>0.2780.2830.279
63BPH064N<NA>542014-09-15170.069.02021-09-1383<NA><NA>22018-12-2622019-01-0322019-11-153<NA>3<NA>3<NA>3<NA>3<NA>3<NA>U/SFinding: Size:37.9 TZ:5.7 Remarks: 검사중통증없음. 검사후주의사항에대하여설명함 DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-37.92014-09-151.252014-09-15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2014-09-158096052072014-09-15<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY2445Y2461Y2580N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2014-09-151.25<NA><NA><NA><NA><NA>0.8111.110.754<NA>0.337
64BPH065N<NA>612015-01-22175.076.02019-07-2554<NA><NA>3<NA>12009-06-303<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>U/SFinding: Size:21.8 TZ:1.12 Remarks: 검사후통증없음. 귀가후주의사항설명함. DREFinding: AnalTone:Good ProstateEnlargement:Mild Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-21.82015-01-220.4732015-01-22<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2015-01-228432985222015-01-22<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY1620N0N0Y40N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2015-01-220.473<NA><NA><NA><NA><NA><NA><NA>0.505<NA>0.397
65BPH066N<NA>552016-11-28170.080.02021-06-0854<NA><NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>U/SFinding: Size:45.4 TZ:12.4 HypoechogenicLesion:, Remarks: 검사시통증,특이호소없음 검사후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-45.42016-11-280.632016-11-28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2016-11-2810250720372016-11-28<NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA>NY90N0N0Y30N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2016-11-280.63<NA><NA><NA>0.72<NA><NA>0.8690.8360.8620.786
66BPH067N<NA>662014-08-25165.070.02019-10-0861<NA><NA>3<NA>22015-04-2722015-01-263<NA>3<NA>3<NA>3<NA>22015-08-0722015-08-11U/SFinding: Size:88.8 TZ:12 Remarks: 시술후주의사항에대해설명함. 검사후특이사항없이귀가함. DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-88.82014-08-253.672014-08-25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2014-10-298206750142014-10-29<NA><NA><NA>Y2014-10-271.Uroflow: TotalVol:141 Qmax:5 ResidualUrine:78 PressureFlow: TotalVol:196 Qmax:6 ResidualUrine:234 2.DetrusorUninhibitedContraction:- 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:430 6.MaximalUrethralClosurePressure:70 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:VD,weakstream,nocturia(1-2),urgency PHx:HTN,BPH(op예정) <UDSfinding> -Storagephase: Detrusoractivity:normal Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal Urethralfunction:PdetQmax=53Qmax=6 BOOI=53-2x6=41(obstruction) BCI=53+5x6=83(weak) schafernomogram=BOOGIII imp)BOOGIII 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN장진혁/Dr김세웅141.05.07841III83Y2014-10-292NY1498N0Y750N0N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초수술일2014-10-293.67<NA><NA><NA>1.98<NA><NA>5.897.553.892.28
67BPH068N<NA>692017-02-14173.086.02021-05-3151<NA><NA>3<NA>12012-04-173<NA>3<NA>3<NA>12012-01-173<NA>12010-02-033<NA>U/SFinding: Size:55.3 TZ:13.6 HypoechogenicLesion:, Remarks: 검사시통증,특이호소없음 검사후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-55.32017-02-142.182017-02-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2017-02-1410471855762017-02-14<NA><NA><NA>Y2017-03-07PressureFlow: TotalVol:343 Qmax:10 ResidualUrine:73 2.DetrusorUninhibitedContraction:- 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:416 6.MaximalUrethralClosurePressure:104 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:VD PHx:BPH(수술예정) <UDSfinding> -Storagephase Detrusoractivity:normal Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal Urethralfunction:PdetQmax=46Qmax=10 BOOI=46-2x10=26(EQUIVOCAL) BCI=46+5x10=96(WEAK) schafernomogram=BOOGII imp)BOOGII 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN김태운/pf이지열<NA><NA><NA>26II96Y2017-03-080NY14N0Y14Y992N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초수술일2017-03-082.182.180.998<NA><NA>0.894<NA>0.9811.281.18<NA>
68BPH069N<NA>642017-07-17165.062.02020-10-0638<NA><NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>3<NA>U/SFinding: Size:51.7 TZ:17.1 Remarks: 검사시통증,특이호소없음 검사후주의사항설명함 DREFinding: AnalTone:Good ProstateEnlargement:Moderate Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-51.72017-07-170.6782018-08-20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2017-07-2510936955382017-07-25<NA><NA><NA>Y2017-07-241.Uroflow: TotalVol:123 Qmax:5 ResidualUrine:20 PressureFlow: TotalVol:124 Qmax:4 ResidualUrine:35 2.DetrusorUninhibitedContraction:+ 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:159 6.MaximalUrethralClosurePressure:75 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:VD PHx:BPH(수술예정) <UDSfinding> -Storagephase Detrusoractivity:DO(idiopathic)->filling마지막시점에서참지못하고배뇨함 Bladdersensation:urgency Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal Urethralfunction:PdetQmax=96Qmax=4 BOOI=96-2x4=88(OBSTRUCTION) BCI=96+5x4=116(NORMAL) schafernomogram=BOOGV imp)BOOGV DO 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN김태운/pf김세웅123.05.02088V116Y2017-07-242NY218N0Y308N0Y180<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초수술일2017-07-24<NA><NA><NA><NA><NA><NA>0.6780.8950.693<NA><NA>
69BPH070Y2014-09-01582014-08-18165.055.02014-09-281<NA><NA>3<NA>11997-07-243<NA>3<NA>3<NA>3<NA>3<NA>11998-03-0722014-09-01U/SFinding: Size:20 TZ:4.4 Remarks: 검사중통증없음. 검사후주의사항에대하여설명함 R2.박정우/Pf.이지열 DREFinding: AnalTone:Good ProstateEnlargement:Not Palpation: Symmetry Consistency:Firm Tenderness:- Nodule:-20.02014-08-183.932014-08-18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2014-08-188029096662014-08-18<NA><NA><NA>Y2014-09-291.Uroflow: TotalVol:352 Qmax:17 ResidualUrine:0 PressureFlow: TotalVol:371 Qmax:10 ResidualUrine:99 2.DetrusorUninhibitedContraction:- 3.Compliance:Good 4.VoidingSense:+ 5.MaximalCystometricCapacity:470 6.MaximalUrethralClosurePressure:66 7.AnalTone:+ BulbocavernosusReflex:+ Imp: C/C:VD,weakstream PHx:HTN,P-ca(op예정) <UDSfinding> -Storagephase: Detrusoractivity:normal Bladdersensation:normal Bladdercapacity:normal Compliance:normal -Voidingphase Detrusoractivity:normal Urethralfunction:PdetQmax=29Qmax=10 BOOI=29-2x10=9(noobstruction) BCI=29+5x10=79(weak) schafernomogram=BOOGI imp)BOOGI 시술부위의출혈양상확인함. 시술후주의사항에대해설명함. RN장진혁/Dr이지열352.017.009I79N<NA><NA>NY17N0N0Y280N0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>최초진단일2014-08-183.93<NA><NA>0.1340.017<NA>0.0030.0030.0030.0030.003