Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells54434
Missing cells (%)16.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 MiB
Average record size in memory305.0 B

Variable types

Categorical9
Numeric21
Unsupported3

Dataset

Description건강검진정보는 해당연도에 건강검진을 수검한 국민건강보험 가입자 100만 명에 관한기본정보(시도코드, 성별, 연령대 등)와 검진내역(신장, 체중, 혈압, 혈당, 총콜레스테롤, 혈색소 등)으로 구성된 데이터입니다.- 직장가입자와 40세 이상의 피부양자, 세대주인 지역가입자와 40세 이상의 지역가입자 중일반건강검진 및 생애전환기 건강진단* 수검이력이 있는 연도별 수진자 100만 명 무작위 선정* 만40세와 만66세에 도달한 이들이 받게 되는 건강진단파일내 항목별 코드설명은 "국민건강정보데이터 건강검진정보 사용자 메뉴얼"을 참고해 주시기 바랍니다.(하단의 "주기성 과거 데이터" > "더보기" 클릭)※ 2023년도 데이터는 2024년 8월 제공 예정입니다.
Author국민건강보험공단
URLhttps://www.data.go.kr/data/15007122/fileData.do

Alerts

기준년도 has constant value ""Constant
청력(좌) is highly imbalanced (82.4%)Imbalance
청력(우) is highly imbalanced (82.8%)Imbalance
총콜레스테롤 has 5909 (59.1%) missing valuesMissing
트리글리세라이드 has 5909 (59.1%) missing valuesMissing
HDL콜레스테롤 has 5909 (59.1%) missing valuesMissing
LDL콜레스테롤 has 5976 (59.8%) missing valuesMissing
요단백 has 124 (1.2%) missing valuesMissing
결손치유무 has 10000 (100.0%) missing valuesMissing
치아마모증율 has 10000 (100.0%) missing valuesMissing
제3대구치(사랑니)이상 has 10000 (100.0%) missing valuesMissing
혈청지오티(AST) is highly skewed (γ1 = 47.57394996)Skewed
혈청지피티(ALT) is highly skewed (γ1 = 29.34916652)Skewed
가입자일련번호 has unique valuesUnique
결손치유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
치아마모증율 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제3대구치(사랑니)이상 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 09:02:55.740441
Analysis finished2024-03-14 09:02:56.577972
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 10000
100.0%

Length

2024-03-14T18:02:56.765656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:02:57.055958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 10000
100.0%

가입자일련번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2479576.9
Minimum748
Maximum4999639
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:02:57.389728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum748
5-th percentile228735.9
Q11250083.8
median2456958.5
Q33716935.5
95-th percentile4754815
Maximum4999639
Range4998891
Interquartile range (IQR)2466851.8

Descriptive statistics

Standard deviation1445019.8
Coefficient of variation (CV)0.5827687
Kurtosis-1.1889228
Mean2479576.9
Median Absolute Deviation (MAD)1232784
Skewness0.014089077
Sum2.4795769 × 1010
Variance2.0880821 × 1012
MonotonicityNot monotonic
2024-03-14T18:02:57.826227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2573189 1
 
< 0.1%
21062 1
 
< 0.1%
4968354 1
 
< 0.1%
4318314 1
 
< 0.1%
3796248 1
 
< 0.1%
2411779 1
 
< 0.1%
662518 1
 
< 0.1%
2908116 1
 
< 0.1%
4516412 1
 
< 0.1%
676776 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
748 1
< 0.1%
1284 1
< 0.1%
1586 1
< 0.1%
2966 1
< 0.1%
3551 1
< 0.1%
5041 1
< 0.1%
5050 1
< 0.1%
5353 1
< 0.1%
5443 1
< 0.1%
5479 1
< 0.1%
ValueCountFrequency (%)
4999639 1
< 0.1%
4998618 1
< 0.1%
4998022 1
< 0.1%
4997698 1
< 0.1%
4996929 1
< 0.1%
4996834 1
< 0.1%
4994997 1
< 0.1%
4994226 1
< 0.1%
4993710 1
< 0.1%
4993632 1
< 0.1%

시도코드
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.7699
Minimum11
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:02:58.044528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q127
median41
Q343
95-th percentile48
Maximum49
Range38
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.556812
Coefficient of variation (CV)0.37183444
Kurtosis-0.77888659
Mean33.7699
Median Absolute Deviation (MAD)7
Skewness-0.74916953
Sum337699
Variance157.67352
MonotonicityNot monotonic
2024-03-14T18:02:58.259580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
41 2583
25.8%
11 1750
17.5%
26 681
 
6.8%
48 641
 
6.4%
28 593
 
5.9%
47 548
 
5.5%
27 482
 
4.8%
44 422
 
4.2%
46 376
 
3.8%
45 355
 
3.5%
Other values (7) 1569
15.7%
ValueCountFrequency (%)
11 1750
17.5%
26 681
 
6.8%
27 482
 
4.8%
28 593
 
5.9%
29 276
 
2.8%
30 292
 
2.9%
31 223
 
2.2%
36 72
 
0.7%
41 2583
25.8%
42 296
 
3.0%
ValueCountFrequency (%)
49 88
 
0.9%
48 641
 
6.4%
47 548
 
5.5%
46 376
 
3.8%
45 355
 
3.5%
44 422
 
4.2%
43 322
 
3.2%
42 296
 
3.0%
41 2583
25.8%
36 72
 
0.7%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5059 
2
4941 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5059
50.6%
2 4941
49.4%

Length

2024-03-14T18:02:58.595512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:02:58.755656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5059
50.6%
2 4941
49.4%

연령대코드(5세 단위)
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.9572
Minimum9
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:02:58.916491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q110
median12
Q313
95-th percentile16
Maximum18
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2299474
Coefficient of variation (CV)0.18649411
Kurtosis-0.50559395
Mean11.9572
Median Absolute Deviation (MAD)2
Skewness0.49209566
Sum119572
Variance4.9726654
MonotonicityNot monotonic
2024-03-14T18:02:59.102417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11 1717
17.2%
9 1643
16.4%
13 1571
15.7%
10 1374
13.7%
12 1325
13.2%
14 904
9.0%
15 724
7.2%
16 366
 
3.7%
17 305
 
3.0%
18 71
 
0.7%
ValueCountFrequency (%)
9 1643
16.4%
10 1374
13.7%
11 1717
17.2%
12 1325
13.2%
13 1571
15.7%
14 904
9.0%
15 724
7.2%
16 366
 
3.7%
17 305
 
3.0%
18 71
 
0.7%
ValueCountFrequency (%)
18 71
 
0.7%
17 305
 
3.0%
16 366
 
3.7%
15 724
7.2%
14 904
9.0%
13 1571
15.7%
12 1325
13.2%
11 1717
17.2%
10 1374
13.7%
9 1643
16.4%

신장(5cm단위)
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.329
Minimum130
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:02:59.286769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130
5-th percentile145
Q1155
median160
Q3170
95-th percentile175
Maximum195
Range65
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.2109849
Coefficient of variation (CV)0.057094415
Kurtosis-0.42387502
Mean161.329
Median Absolute Deviation (MAD)5
Skewness0.025434324
Sum1613290
Variance84.842243
MonotonicityNot monotonic
2024-03-14T18:02:59.483247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
155 1856
18.6%
160 1832
18.3%
165 1793
17.9%
170 1576
15.8%
150 1205
12.0%
175 815
8.2%
145 451
 
4.5%
180 282
 
2.8%
140 105
 
1.1%
185 52
 
0.5%
Other values (4) 33
 
0.3%
ValueCountFrequency (%)
130 5
 
0.1%
135 20
 
0.2%
140 105
 
1.1%
145 451
 
4.5%
150 1205
12.0%
155 1856
18.6%
160 1832
18.3%
165 1793
17.9%
170 1576
15.8%
175 815
8.2%
ValueCountFrequency (%)
195 1
 
< 0.1%
190 7
 
0.1%
185 52
 
0.5%
180 282
 
2.8%
175 815
8.2%
170 1576
15.8%
165 1793
17.9%
160 1832
18.3%
155 1856
18.6%
150 1205
12.0%

체중(5kg단위)
Real number (ℝ)

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.195
Minimum30
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:02:59.791531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile45
Q155
median60
Q370
95-th percentile85
Maximum135
Range105
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.744144
Coefficient of variation (CV)0.20166381
Kurtosis0.85002683
Mean63.195
Median Absolute Deviation (MAD)10
Skewness0.65550097
Sum631950
Variance162.41322
MonotonicityNot monotonic
2024-03-14T18:03:00.010504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
60 1535
15.3%
55 1502
15.0%
65 1389
13.9%
50 1266
12.7%
70 1237
12.4%
75 923
9.2%
45 639
6.4%
80 588
 
5.9%
85 308
 
3.1%
40 195
 
1.9%
Other values (12) 418
 
4.2%
ValueCountFrequency (%)
30 6
 
0.1%
35 27
 
0.3%
40 195
 
1.9%
45 639
6.4%
50 1266
12.7%
55 1502
15.0%
60 1535
15.3%
65 1389
13.9%
70 1237
12.4%
75 923
9.2%
ValueCountFrequency (%)
135 1
 
< 0.1%
130 3
 
< 0.1%
125 4
 
< 0.1%
120 5
 
0.1%
115 5
 
0.1%
110 22
 
0.2%
105 21
 
0.2%
100 50
 
0.5%
95 91
0.9%
90 183
1.8%

허리둘레
Real number (ℝ)

Distinct423
Distinct (%)4.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean82.022922
Minimum52
Maximum131.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:00.410292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile66
Q175
median82
Q388.9
95-th percentile98
Maximum131.1
Range79.1
Interquartile range (IQR)13.9

Descriptive statistics

Standard deviation9.8875436
Coefficient of variation (CV)0.1205461
Kurtosis0.20246864
Mean82.022922
Median Absolute Deviation (MAD)7
Skewness0.23850927
Sum820147.2
Variance97.763519
MonotonicityNot monotonic
2024-03-14T18:03:00.865920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.0 395
 
4.0%
84.0 336
 
3.4%
83.0 321
 
3.2%
82.0 320
 
3.2%
86.0 315
 
3.1%
78.0 303
 
3.0%
81.0 302
 
3.0%
76.0 301
 
3.0%
79.0 297
 
3.0%
85.0 295
 
2.9%
Other values (413) 6814
68.1%
ValueCountFrequency (%)
52.0 2
 
< 0.1%
54.0 3
 
< 0.1%
55.0 5
0.1%
56.0 5
0.1%
56.5 1
 
< 0.1%
57.0 4
 
< 0.1%
58.0 5
0.1%
58.8 1
 
< 0.1%
59.0 11
0.1%
59.2 1
 
< 0.1%
ValueCountFrequency (%)
131.1 1
< 0.1%
130.0 1
< 0.1%
126.0 1
< 0.1%
125.6 1
< 0.1%
125.0 1
< 0.1%
124.5 1
< 0.1%
123.0 1
< 0.1%
122.0 1
< 0.1%
120.0 1
< 0.1%
119.0 2
< 0.1%

시력(좌)
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.92438
Minimum0.1
Maximum9.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:01.265584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.7
median0.9
Q31
95-th percentile1.5
Maximum9.9
Range9.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.64761374
Coefficient of variation (CV)0.70059255
Kurtosis141.19621
Mean0.92438
Median Absolute Deviation (MAD)0.2
Skewness10.360432
Sum9243.8
Variance0.41940356
MonotonicityNot monotonic
2024-03-14T18:03:01.642523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.0 1981
19.8%
1.2 1567
15.7%
0.9 1212
12.1%
0.8 1132
11.3%
0.7 1020
10.2%
1.5 786
 
7.9%
0.6 714
 
7.1%
0.5 647
 
6.5%
0.4 346
 
3.5%
0.3 251
 
2.5%
Other values (6) 344
 
3.4%
ValueCountFrequency (%)
0.1 104
 
1.0%
0.2 150
 
1.5%
0.3 251
 
2.5%
0.4 346
 
3.5%
0.5 647
 
6.5%
0.6 714
 
7.1%
0.7 1020
10.2%
0.8 1132
11.3%
0.9 1212
12.1%
1.0 1981
19.8%
ValueCountFrequency (%)
9.9 39
 
0.4%
2.0 49
 
0.5%
1.6 1
 
< 0.1%
1.5 786
 
7.9%
1.3 1
 
< 0.1%
1.2 1567
15.7%
1.0 1981
19.8%
0.9 1212
12.1%
0.8 1132
11.3%
0.7 1020
10.2%

시력(우)
Real number (ℝ)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.92084
Minimum0.1
Maximum9.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:02.007225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.7
median0.9
Q31
95-th percentile1.5
Maximum9.9
Range9.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.6599858
Coefficient of variation (CV)0.71672147
Kurtosis137.75259
Mean0.92084
Median Absolute Deviation (MAD)0.2
Skewness10.296863
Sum9208.4
Variance0.43558125
MonotonicityNot monotonic
2024-03-14T18:03:02.381333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1.0 2009
20.1%
1.2 1495
14.9%
0.9 1250
12.5%
0.8 1149
11.5%
0.7 1049
10.5%
1.5 775
 
7.8%
0.6 668
 
6.7%
0.5 634
 
6.3%
0.4 330
 
3.3%
0.3 275
 
2.8%
Other values (5) 366
 
3.7%
ValueCountFrequency (%)
0.1 135
 
1.4%
0.2 148
 
1.5%
0.3 275
 
2.8%
0.4 330
 
3.3%
0.5 634
 
6.3%
0.6 668
 
6.7%
0.7 1049
10.5%
0.8 1149
11.5%
0.9 1250
12.5%
1.0 2009
20.1%
ValueCountFrequency (%)
9.9 41
 
0.4%
2.0 41
 
0.4%
1.5 775
 
7.8%
1.2 1495
14.9%
1.1 1
 
< 0.1%
1.0 2009
20.1%
0.9 1250
12.5%
0.8 1149
11.5%
0.7 1049
10.5%
0.6 668
 
6.7%

청력(좌)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9546 
2
 
432
3
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 9546
95.5%
2 432
 
4.3%
3 22
 
0.2%

Length

2024-03-14T18:03:02.734893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:03:02.898728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9546
95.5%
2 432
 
4.3%
3 22
 
0.2%

청력(우)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9566 
2
 
405
3
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 9566
95.7%
2 405
 
4.0%
3 29
 
0.3%

Length

2024-03-14T18:03:03.100193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:03:03.412204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9566
95.7%
2 405
 
4.0%
3 29
 
0.3%

수축기혈압
Real number (ℝ)

Distinct114
Distinct (%)1.1%
Missing75
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean124.61673
Minimum81
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:03.747269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile101
Q1115
median124
Q3134
95-th percentile150
Maximum245
Range164
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.758263
Coefficient of variation (CV)0.11842923
Kurtosis1.5177517
Mean124.61673
Median Absolute Deviation (MAD)9
Skewness0.54352556
Sum1236821
Variance217.80633
MonotonicityNot monotonic
2024-03-14T18:03:04.197665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 609
 
6.1%
130 572
 
5.7%
110 455
 
4.5%
118 375
 
3.8%
128 274
 
2.7%
119 266
 
2.7%
122 266
 
2.7%
138 252
 
2.5%
124 236
 
2.4%
125 229
 
2.3%
Other values (104) 6391
63.9%
ValueCountFrequency (%)
81 1
 
< 0.1%
82 1
 
< 0.1%
84 2
 
< 0.1%
85 3
 
< 0.1%
86 2
 
< 0.1%
87 2
 
< 0.1%
88 3
 
< 0.1%
89 3
 
< 0.1%
90 44
0.4%
91 16
 
0.2%
ValueCountFrequency (%)
245 1
< 0.1%
220 1
< 0.1%
201 2
< 0.1%
198 2
< 0.1%
197 1
< 0.1%
196 1
< 0.1%
194 1
< 0.1%
193 1
< 0.1%
190 1
< 0.1%
189 1
< 0.1%

이완기혈압
Real number (ℝ)

Distinct83
Distinct (%)0.8%
Missing75
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean76.384383
Minimum39
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:04.641380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile60
Q170
median76
Q382
95-th percentile93
Maximum141
Range102
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.230164
Coefficient of variation (CV)0.13393004
Kurtosis0.86218771
Mean76.384383
Median Absolute Deviation (MAD)6
Skewness0.3311463
Sum758115
Variance104.65625
MonotonicityNot monotonic
2024-03-14T18:03:05.089994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 962
 
9.6%
70 824
 
8.2%
78 448
 
4.5%
74 362
 
3.6%
72 359
 
3.6%
75 350
 
3.5%
60 318
 
3.2%
76 315
 
3.1%
82 301
 
3.0%
79 291
 
2.9%
Other values (73) 5395
53.9%
ValueCountFrequency (%)
39 1
 
< 0.1%
41 1
 
< 0.1%
44 2
 
< 0.1%
45 2
 
< 0.1%
46 1
 
< 0.1%
48 3
 
< 0.1%
49 2
 
< 0.1%
50 15
0.1%
51 28
0.3%
52 17
0.2%
ValueCountFrequency (%)
141 1
 
< 0.1%
132 1
 
< 0.1%
131 1
 
< 0.1%
128 1
 
< 0.1%
127 1
 
< 0.1%
121 1
 
< 0.1%
120 5
0.1%
119 2
 
< 0.1%
118 2
 
< 0.1%
116 3
< 0.1%

식전혈당(공복혈당)
Real number (ℝ)

Distinct219
Distinct (%)2.2%
Missing76
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean103.6052
Minimum53
Maximum760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:05.492224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile80
Q190
median98
Q3109
95-th percentile144
Maximum760
Range707
Interquartile range (IQR)19

Descriptive statistics

Standard deviation26.375228
Coefficient of variation (CV)0.25457436
Kurtosis67.008873
Mean103.6052
Median Absolute Deviation (MAD)9
Skewness5.4062007
Sum1028178
Variance695.65264
MonotonicityNot monotonic
2024-03-14T18:03:06.139079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95 371
 
3.7%
97 328
 
3.3%
98 324
 
3.2%
93 323
 
3.2%
94 321
 
3.2%
96 315
 
3.1%
99 315
 
3.1%
91 306
 
3.1%
100 305
 
3.0%
90 295
 
2.9%
Other values (209) 6721
67.2%
ValueCountFrequency (%)
53 1
 
< 0.1%
59 1
 
< 0.1%
60 2
 
< 0.1%
61 7
0.1%
63 5
0.1%
64 3
< 0.1%
65 5
0.1%
66 5
0.1%
67 5
0.1%
68 4
< 0.1%
ValueCountFrequency (%)
760 1
< 0.1%
491 1
< 0.1%
464 1
< 0.1%
449 1
< 0.1%
418 1
< 0.1%
395 1
< 0.1%
339 1
< 0.1%
336 1
< 0.1%
333 1
< 0.1%
325 1
< 0.1%

총콜레스테롤
Real number (ℝ)

MISSING 

Distinct241
Distinct (%)5.9%
Missing5909
Missing (%)59.1%
Infinite0
Infinite (%)0.0%
Mean198.70545
Minimum73
Maximum383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:06.549229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile132
Q1170
median198
Q3225
95-th percentile270
Maximum383
Range310
Interquartile range (IQR)55

Descriptive statistics

Standard deviation41.963292
Coefficient of variation (CV)0.2111834
Kurtosis0.13414979
Mean198.70545
Median Absolute Deviation (MAD)28
Skewness0.2307226
Sum812904
Variance1760.9179
MonotonicityNot monotonic
2024-03-14T18:03:06.970393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206 58
 
0.6%
185 48
 
0.5%
194 48
 
0.5%
183 47
 
0.5%
192 47
 
0.5%
201 47
 
0.5%
208 45
 
0.4%
211 41
 
0.4%
212 41
 
0.4%
195 41
 
0.4%
Other values (231) 3628
36.3%
(Missing) 5909
59.1%
ValueCountFrequency (%)
73 1
< 0.1%
75 1
< 0.1%
82 2
< 0.1%
86 2
< 0.1%
90 1
< 0.1%
91 2
< 0.1%
95 1
< 0.1%
97 1
< 0.1%
98 2
< 0.1%
99 2
< 0.1%
ValueCountFrequency (%)
383 1
< 0.1%
369 1
< 0.1%
361 1
< 0.1%
358 1
< 0.1%
357 1
< 0.1%
354 1
< 0.1%
343 1
< 0.1%
341 1
< 0.1%
336 1
< 0.1%
333 1
< 0.1%

트리글리세라이드
Real number (ℝ)

MISSING 

Distinct395
Distinct (%)9.7%
Missing5909
Missing (%)59.1%
Infinite0
Infinite (%)0.0%
Mean128.85114
Minimum8
Maximum1613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:07.317381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile48
Q175
median107
Q3154
95-th percentile280
Maximum1613
Range1605
Interquartile range (IQR)79

Descriptive statistics

Standard deviation86.980759
Coefficient of variation (CV)0.67504844
Kurtosis35.270297
Mean128.85114
Median Absolute Deviation (MAD)37
Skewness3.8241654
Sum527130
Variance7565.6524
MonotonicityNot monotonic
2024-03-14T18:03:07.611419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85 48
 
0.5%
97 47
 
0.5%
66 46
 
0.5%
87 41
 
0.4%
113 41
 
0.4%
70 41
 
0.4%
80 40
 
0.4%
73 40
 
0.4%
81 37
 
0.4%
69 37
 
0.4%
Other values (385) 3673
36.7%
(Missing) 5909
59.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
15 1
 
< 0.1%
19 2
 
< 0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
25 2
 
< 0.1%
26 2
 
< 0.1%
27 2
 
< 0.1%
30 5
0.1%
ValueCountFrequency (%)
1613 1
< 0.1%
1234 1
< 0.1%
975 1
< 0.1%
780 1
< 0.1%
776 1
< 0.1%
774 1
< 0.1%
684 1
< 0.1%
653 1
< 0.1%
640 1
< 0.1%
628 1
< 0.1%

HDL콜레스테롤
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)2.5%
Missing5909
Missing (%)59.1%
Infinite0
Infinite (%)0.0%
Mean57.656808
Minimum13
Maximum187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:08.017369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile36
Q147
median56
Q366
95-th percentile87
Maximum187
Range174
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.586874
Coefficient of variation (CV)0.27033884
Kurtosis2.2309275
Mean57.656808
Median Absolute Deviation (MAD)10
Skewness0.96275796
Sum235874
Variance242.95065
MonotonicityNot monotonic
2024-03-14T18:03:08.445557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 126
 
1.3%
47 123
 
1.2%
44 121
 
1.2%
52 121
 
1.2%
54 118
 
1.2%
49 115
 
1.1%
58 113
 
1.1%
56 112
 
1.1%
53 111
 
1.1%
60 110
 
1.1%
Other values (94) 2921
29.2%
(Missing) 5909
59.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
15 1
 
< 0.1%
19 1
 
< 0.1%
20 2
 
< 0.1%
23 2
 
< 0.1%
24 1
 
< 0.1%
25 3
< 0.1%
26 1
 
< 0.1%
27 2
 
< 0.1%
28 6
0.1%
ValueCountFrequency (%)
187 1
 
< 0.1%
149 1
 
< 0.1%
141 1
 
< 0.1%
137 1
 
< 0.1%
122 1
 
< 0.1%
120 1
 
< 0.1%
118 1
 
< 0.1%
115 1
 
< 0.1%
114 3
< 0.1%
113 2
< 0.1%

LDL콜레스테롤
Real number (ℝ)

MISSING 

Distinct210
Distinct (%)5.2%
Missing5976
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean115.65457
Minimum9
Maximum284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:08.842859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile56
Q189
median115
Q3140
95-th percentile178
Maximum284
Range275
Interquartile range (IQR)51

Descriptive statistics

Standard deviation37.479639
Coefficient of variation (CV)0.32406534
Kurtosis-0.021559063
Mean115.65457
Median Absolute Deviation (MAD)26
Skewness0.22283589
Sum465394
Variance1404.7233
MonotonicityNot monotonic
2024-03-14T18:03:09.261094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132 56
 
0.6%
123 52
 
0.5%
130 52
 
0.5%
98 52
 
0.5%
131 50
 
0.5%
128 49
 
0.5%
116 48
 
0.5%
109 46
 
0.5%
137 46
 
0.5%
88 44
 
0.4%
Other values (200) 3529
35.3%
(Missing) 5976
59.8%
ValueCountFrequency (%)
9 1
 
< 0.1%
11 1
 
< 0.1%
15 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
19 2
< 0.1%
23 1
 
< 0.1%
26 1
 
< 0.1%
27 3
< 0.1%
28 4
< 0.1%
ValueCountFrequency (%)
284 1
< 0.1%
244 1
< 0.1%
240 2
< 0.1%
239 1
< 0.1%
236 2
< 0.1%
235 2
< 0.1%
231 2
< 0.1%
230 1
< 0.1%
227 2
< 0.1%
225 1
< 0.1%

혈색소
Real number (ℝ)

Distinct120
Distinct (%)1.2%
Missing76
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean14.128013
Minimum5.5
Maximum20.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:09.670241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.5
5-th percentile11.7
Q113.1
median14.1
Q315.2
95-th percentile16.6
Maximum20.1
Range14.6
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation1.5366506
Coefficient of variation (CV)0.10876623
Kurtosis0.80268062
Mean14.128013
Median Absolute Deviation (MAD)1
Skewness-0.29972141
Sum140206.4
Variance2.3612952
MonotonicityNot monotonic
2024-03-14T18:03:10.016800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.9 281
 
2.8%
13.3 266
 
2.7%
13.6 264
 
2.6%
14.0 260
 
2.6%
13.8 257
 
2.6%
13.7 255
 
2.5%
14.1 245
 
2.5%
13.4 244
 
2.4%
14.4 242
 
2.4%
13.5 241
 
2.4%
Other values (110) 7369
73.7%
ValueCountFrequency (%)
5.5 1
< 0.1%
6.1 1
< 0.1%
6.2 1
< 0.1%
6.6 1
< 0.1%
7.0 2
< 0.1%
7.2 1
< 0.1%
7.6 2
< 0.1%
7.8 2
< 0.1%
8.0 1
< 0.1%
8.1 2
< 0.1%
ValueCountFrequency (%)
20.1 1
 
< 0.1%
19.9 1
 
< 0.1%
19.0 1
 
< 0.1%
18.9 1
 
< 0.1%
18.8 4
< 0.1%
18.6 1
 
< 0.1%
18.5 3
< 0.1%
18.4 4
< 0.1%
18.3 3
< 0.1%
18.2 6
0.1%

요단백
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.1%
Missing124
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean1.1282908
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:10.344743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.50098188
Coefficient of variation (CV)0.4440184
Kurtosis27.775794
Mean1.1282908
Median Absolute Deviation (MAD)0
Skewness4.8608103
Sum11143
Variance0.25098284
MonotonicityNot monotonic
2024-03-14T18:03:10.691342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9093
90.9%
2 446
 
4.5%
3 235
 
2.4%
4 68
 
0.7%
5 23
 
0.2%
6 11
 
0.1%
(Missing) 124
 
1.2%
ValueCountFrequency (%)
1 9093
90.9%
2 446
 
4.5%
3 235
 
2.4%
4 68
 
0.7%
5 23
 
0.2%
6 11
 
0.1%
ValueCountFrequency (%)
6 11
 
0.1%
5 23
 
0.2%
4 68
 
0.7%
3 235
 
2.4%
2 446
 
4.5%
1 9093
90.9%

혈청크레아티닌
Real number (ℝ)

Distinct43
Distinct (%)0.4%
Missing76
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.84368198
Minimum0.1
Maximum15.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:11.052103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q10.7
median0.8
Q31
95-th percentile1.2
Maximum15.9
Range15.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.40457849
Coefficient of variation (CV)0.47953908
Kurtosis535.11309
Mean0.84368198
Median Absolute Deviation (MAD)0.1
Skewness18.775545
Sum8372.7
Variance0.16368375
MonotonicityNot monotonic
2024-03-14T18:03:11.491307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.8 1898
19.0%
0.7 1769
17.7%
0.9 1738
17.4%
0.6 1363
13.6%
1.0 1183
11.8%
1.1 728
 
7.3%
0.5 532
 
5.3%
1.2 320
 
3.2%
1.3 141
 
1.4%
0.4 78
 
0.8%
Other values (33) 174
 
1.7%
(Missing) 76
 
0.8%
ValueCountFrequency (%)
0.1 1
 
< 0.1%
0.2 1
 
< 0.1%
0.3 6
 
0.1%
0.4 78
 
0.8%
0.5 532
 
5.3%
0.6 1363
13.6%
0.7 1769
17.7%
0.8 1898
19.0%
0.9 1738
17.4%
1.0 1183
11.8%
ValueCountFrequency (%)
15.9 1
< 0.1%
13.7 1
< 0.1%
13.4 1
< 0.1%
12.3 1
< 0.1%
8.9 1
< 0.1%
8.4 1
< 0.1%
8.1 2
< 0.1%
7.8 1
< 0.1%
7.7 1
< 0.1%
7.3 1
< 0.1%

혈청지오티(AST)
Real number (ℝ)

SKEWED 

Distinct150
Distinct (%)1.5%
Missing76
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean28.613563
Minimum3
Maximum2536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:11.921881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q120
median24
Q331
95-th percentile52
Maximum2536
Range2533
Interquartile range (IQR)11

Descriptive statistics

Standard deviation34.232903
Coefficient of variation (CV)1.1963873
Kurtosis3146.7083
Mean28.613563
Median Absolute Deviation (MAD)5
Skewness47.57395
Sum283961
Variance1171.8917
MonotonicityNot monotonic
2024-03-14T18:03:12.358303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 632
 
6.3%
23 600
 
6.0%
20 581
 
5.8%
22 554
 
5.5%
19 535
 
5.3%
24 505
 
5.1%
25 494
 
4.9%
26 477
 
4.8%
18 450
 
4.5%
27 400
 
4.0%
Other values (140) 4696
47.0%
ValueCountFrequency (%)
3 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 5
 
0.1%
10 12
 
0.1%
11 21
 
0.2%
12 37
 
0.4%
13 71
0.7%
14 137
1.4%
ValueCountFrequency (%)
2536 1
< 0.1%
1317 1
< 0.1%
851 1
< 0.1%
497 1
< 0.1%
496 1
< 0.1%
395 1
< 0.1%
384 1
< 0.1%
325 1
< 0.1%
255 1
< 0.1%
237 1
< 0.1%

혈청지피티(ALT)
Real number (ℝ)

SKEWED 

Distinct166
Distinct (%)1.7%
Missing76
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean27.25917
Minimum1
Maximum1890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:12.764176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q116
median22
Q331
95-th percentile60
Maximum1890
Range1889
Interquartile range (IQR)15

Descriptive statistics

Standard deviation30.141788
Coefficient of variation (CV)1.1057486
Kurtosis1586.1779
Mean27.25917
Median Absolute Deviation (MAD)7
Skewness29.349167
Sum270520
Variance908.5274
MonotonicityNot monotonic
2024-03-14T18:03:13.198599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 459
 
4.6%
17 455
 
4.5%
15 447
 
4.5%
18 435
 
4.3%
19 422
 
4.2%
14 421
 
4.2%
20 417
 
4.2%
22 376
 
3.8%
13 365
 
3.6%
21 362
 
3.6%
Other values (156) 5765
57.6%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 3
 
< 0.1%
4 4
 
< 0.1%
5 13
 
0.1%
6 27
 
0.3%
7 58
 
0.6%
8 78
 
0.8%
9 134
1.3%
10 237
2.4%
11 224
2.2%
ValueCountFrequency (%)
1890 1
< 0.1%
930 1
< 0.1%
658 1
< 0.1%
510 1
< 0.1%
445 1
< 0.1%
353 1
< 0.1%
334 1
< 0.1%
323 1
< 0.1%
276 1
< 0.1%
258 1
< 0.1%

감마지티피
Real number (ℝ)

Distinct304
Distinct (%)3.1%
Missing76
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean38.027106
Minimum1
Maximum1481
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T18:03:13.610492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q116
median24
Q340
95-th percentile102.85
Maximum1481
Range1480
Interquartile range (IQR)24

Descriptive statistics

Standard deviation55.157493
Coefficient of variation (CV)1.4504783
Kurtosis172.87006
Mean38.027106
Median Absolute Deviation (MAD)10
Skewness9.9625743
Sum377381
Variance3042.3491
MonotonicityNot monotonic
2024-03-14T18:03:14.055878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 402
 
4.0%
17 396
 
4.0%
16 389
 
3.9%
14 383
 
3.8%
13 379
 
3.8%
18 358
 
3.6%
19 356
 
3.6%
20 317
 
3.2%
12 304
 
3.0%
22 296
 
3.0%
Other values (294) 6344
63.4%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 2
 
< 0.1%
4 6
 
0.1%
5 5
 
0.1%
6 18
 
0.2%
7 27
 
0.3%
8 56
 
0.6%
9 145
1.5%
10 217
2.2%
11 241
2.4%
ValueCountFrequency (%)
1481 1
< 0.1%
1429 1
< 0.1%
1306 1
< 0.1%
1086 1
< 0.1%
970 1
< 0.1%
955 1
< 0.1%
875 1
< 0.1%
709 1
< 0.1%
644 1
< 0.1%
641 1
< 0.1%

흡연상태
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6384 
2
1840 
3
1775 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0003
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 6384
63.8%
2 1840
 
18.4%
3 1775
 
17.8%
<NA> 1
 
< 0.1%

Length

2024-03-14T18:03:14.492071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:03:14.820520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6384
63.8%
2 1840
 
18.4%
3 1775
 
17.8%
na 1
 
< 0.1%

음주여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5771 
0
4229 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5771
57.7%
0 4229
42.3%

Length

2024-03-14T18:03:15.170492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:03:15.660026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5771
57.7%
0 4229
42.3%

구강검진수검여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6871 
1
3129 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 6871
68.7%
1 3129
31.3%

Length

2024-03-14T18:03:15.977028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:03:16.279228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6871
68.7%
1 3129
31.3%

치아우식증유무
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6871 
0
2713 
1
 
416

Length

Max length4
Median length4
Mean length3.0613
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 6871
68.7%
0 2713
 
27.1%
1 416
 
4.2%

Length

2024-03-14T18:03:16.628493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:03:16.955563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6871
68.7%
0 2713
 
27.1%
1 416
 
4.2%

결손치유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

치아마모증율
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

제3대구치(사랑니)이상
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

치석
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6871 
0
1540 
1
1448 
2
 
141

Length

Max length4
Median length4
Mean length3.0613
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 6871
68.7%
0 1540
 
15.4%
1 1448
 
14.5%
2 141
 
1.4%

Length

2024-03-14T18:03:17.324326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:03:17.663519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6871
68.7%
0 1540
 
15.4%
1 1448
 
14.5%
2 141
 
1.4%

Sample

기준년도가입자일련번호시도코드성별연령대코드(5세 단위)신장(5cm단위)체중(5kg단위)허리둘레시력(좌)시력(우)청력(좌)청력(우)수축기혈압이완기혈압식전혈당(공복혈당)총콜레스테롤트리글리세라이드HDL콜레스테롤LDL콜레스테롤혈색소요단백혈청크레아티닌혈청지오티(AST)혈청지피티(ALT)감마지티피흡연상태음주여부구강검진수검여부치아우식증유무결손치유무치아마모증율제3대구치(사랑니)이상치석
5190820222573189112171555069.00.90.81115583101163854510117.040.7181235100<NA><NA><NA><NA><NA>
9128320221476331472101656074.01.51.5111096478<NA><NA><NA><NA>10.411.02112131010<NA><NA><NA>0
550720221518319462151505072.00.80.71111664942061095413011.710.72016101010<NA><NA><NA>1
9594020221506906412101504569.00.90.811116719420656711239.710.6222439110<NA><NA><NA><NA><NA>
9194220224194481271161706586.00.90.81114075114229995315616.621.11816182110<NA><NA><NA>1
17384202230072714111117585100.01.01.0111117694<NA><NA><NA><NA>16.310.95434221111<NA><NA><NA>1
69416202276893528291705075.00.90.6111006191241857215212.610.7171011100<NA><NA><NA><NA><NA>
6764202220803829291605570.00.40.8111107092199876411815.010.71914153110<NA><NA><NA>1
6950120222187760112131555579.01.00.6111158072<NA><NA><NA><NA>12.410.7281715100<NA><NA><NA><NA><NA>
51961202238426471151706589.01.01.21112080146<NA><NA><NA><NA>14.711.0262215100<NA><NA><NA><NA><NA>
기준년도가입자일련번호시도코드성별연령대코드(5세 단위)신장(5cm단위)체중(5kg단위)허리둘레시력(좌)시력(우)청력(좌)청력(우)수축기혈압이완기혈압식전혈당(공복혈당)총콜레스테롤트리글리세라이드HDL콜레스테롤LDL콜레스테롤혈색소요단백혈청크레아티닌혈청지오티(AST)혈청지피티(ALT)감마지티피흡연상태음주여부구강검진수검여부치아우식증유무결손치유무치아마모증율제3대구치(사랑니)이상치석
3782520221987698451121606076.01.21.0111298695<NA><NA><NA><NA>14.210.7251826210<NA><NA><NA><NA><NA>
8280120222176876471121707584.00.80.51112574872071357210816.010.83442803110<NA><NA><NA>0
243192022124376547191707585.01.21.21112080921941564711516.010.9173070310<NA><NA><NA><NA><NA>
2324420222755809411131857083.81.00.911132948617550838215.010.73722173110<NA><NA><NA>1
920452022622324412101556584.21.01.2111036694<NA><NA><NA><NA>14.010.91815111010<NA><NA><NA>0
944120222219744281121758087.01.50.521159101100194209599312.720.8201730310<NA><NA><NA><NA><NA>
4989420221606821311131607094.00.60.61112878333<NA><NA><NA><NA>16.010.83437772110<NA><NA><NA>0
145520221551321412131555584.01.00.711135718719242939012.810.7282218110<NA><NA><NA><NA><NA>
22880202212512064121515075100.00.30.5111386597<NA><NA><NA><NA>15.310.8807472100<NA><NA><NA><NA><NA>
9606720222515162432131554564.00.50.5111307099<NA><NA><NA><NA>14.010.83330121010<NA><NA><NA>0