Overview

Dataset statistics

Number of variables60
Number of observations21
Missing cells365
Missing cells (%)29.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory545.3 B

Variable types

Text1
Numeric39
Categorical13
Unsupported7

Dataset

Description인천광역시 사망원인 연령별 정보(특정 감염성, 기생충성질환, 각종질병별) 입니다* 특정 감염성 및 기생충성질환(남) 특정 감염성 및 기생충성질환(여) 신생물(남) 신생물(여) 혈액 및 조혈기관 질환과 면역기전을 침범하는 특정장애(남) 등
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15055006&srcSe=7661IVAWM27C61E190

Alerts

임신 출산 및 산후기 is highly imbalanced (72.4%)Imbalance
임신 출산 및 산후기_여자 is highly imbalanced (72.4%)Imbalance
출생전후기에 기원한 특정병태 is highly imbalanced (72.4%)Imbalance
출생전후기에 기원한 특정병태_남자 is highly imbalanced (72.4%)Imbalance
출생전후기에 기원한 특정병태_여자 is highly imbalanced (72.4%)Imbalance
선천기형 변형 및 염색체 이상_여자 is highly imbalanced (54.4%)Imbalance
특정 감염성 및 기생충성질환 has 5 (23.8%) missing valuesMissing
특정 감염성 및 기생충성질환_남자 has 5 (23.8%) missing valuesMissing
특정 감염성 및 기생충성질환_여자 has 8 (38.1%) missing valuesMissing
신생물 has 2 (9.5%) missing valuesMissing
신생물_남자 has 3 (14.3%) missing valuesMissing
신생물_여자 has 3 (14.3%) missing valuesMissing
혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애 has 9 (42.9%) missing valuesMissing
혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애_남자 has 10 (47.6%) missing valuesMissing
내분비 영양 및 대사질환 has 8 (38.1%) missing valuesMissing
내분비 영양 및 대사질환_남자 has 8 (38.1%) missing valuesMissing
내분비 영양 및 대사질환_여자 has 9 (42.9%) missing valuesMissing
정신 및 행동장애 has 8 (38.1%) missing valuesMissing
정신 및 행동장애_남자 has 8 (38.1%) missing valuesMissing
정신 및 행동장애_여자 has 9 (42.9%) missing valuesMissing
신경계통의 질환 has 3 (14.3%) missing valuesMissing
신경계통의 질환_남자 has 5 (23.8%) missing valuesMissing
신경계통의 질환_여자 has 6 (28.6%) missing valuesMissing
눈 및 눈 부속기의 질환 has 21 (100.0%) missing valuesMissing
눈 및 눈 부속기의 질환_남자 has 21 (100.0%) missing valuesMissing
눈 및 눈 부속기의 질환_여자 has 21 (100.0%) missing valuesMissing
귀 및 유돌의 질환 has 21 (100.0%) missing valuesMissing
귀 및 유돌의 질환_남자 has 21 (100.0%) missing valuesMissing
귀 및 유돌의 질환_여자 has 21 (100.0%) missing valuesMissing
순환계통의 질환 has 4 (19.0%) missing valuesMissing
순환계통의 질환_남자 has 7 (33.3%) missing valuesMissing
순환계통의 질환_여자 has 4 (19.0%) missing valuesMissing
호흡계통의 질환 has 5 (23.8%) missing valuesMissing
호흡계통의 질환_남자 has 6 (28.6%) missing valuesMissing
호흡계통의 질환_여자 has 8 (38.1%) missing valuesMissing
소화계통의 질환 has 4 (19.0%) missing valuesMissing
소화계통의 질환_남자 has 5 (23.8%) missing valuesMissing
소화계통의 질환_여자 has 7 (33.3%) missing valuesMissing
근골격 계통 및 결합조직의 질환 has 11 (52.4%) missing valuesMissing
근골격 계통 및 결합조직의 질환_여자 has 13 (61.9%) missing valuesMissing
비뇨생식 계통의 질환 has 7 (33.3%) missing valuesMissing
비뇨생식 계통의 질환_남자 has 8 (38.1%) missing valuesMissing
비뇨생식 계통의 질환_여자 has 9 (42.9%) missing valuesMissing
임신 출산 및 산후기_남자 has 21 (100.0%) missing valuesMissing
달리 분류되지 않은 증상징후 has 2 (9.5%) missing valuesMissing
달리 분류되지 않은 증상징후_남자 has 4 (19.0%) missing valuesMissing
달리 분류되지 않은 증상징후_여자 has 2 (9.5%) missing valuesMissing
질병이환 및 사망의 외인 has 1 (4.8%) missing valuesMissing
질병이환 및 사망의 외인_남자 has 1 (4.8%) missing valuesMissing
질병이환 및 사망의 외인_여자 has 1 (4.8%) missing valuesMissing
연령별 has unique valuesUnique
눈 및 눈 부속기의 질환 is an unsupported type, check if it needs cleaning or further analysisUnsupported
눈 및 눈 부속기의 질환_남자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
눈 및 눈 부속기의 질환_여자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
귀 및 유돌의 질환 is an unsupported type, check if it needs cleaning or further analysisUnsupported
귀 및 유돌의 질환_남자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
귀 및 유돌의 질환_여자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
임신 출산 및 산후기_남자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 18:25:23.775816
Analysis finished2024-04-17 18:25:24.145863
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연령별
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-18T03:25:24.219128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.1904762
Min length2

Characters and Unicode

Total characters151
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row0세
2nd row1 - 4세
3rd row5 - 9세
4th row10 - 14세
5th row15 - 19세
ValueCountFrequency (%)
18
31.6%
0세 1
 
1.8%
70 1
 
1.8%
54세 1
 
1.8%
55 1
 
1.8%
59세 1
 
1.8%
60 1
 
1.8%
64세 1
 
1.8%
65 1
 
1.8%
69세 1
 
1.8%
Other values (30) 30
52.6%
2024-04-18T03:25:24.450473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
23.8%
세 20
13.2%
- 18
11.9%
4 13
 
8.6%
5 13
 
8.6%
0 10
 
6.6%
9 10
 
6.6%
1 5
 
3.3%
7 4
 
2.6%
8 4
 
2.6%
Other values (8) 18
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71
47.0%
Space Separator 36
23.8%
Other Letter 26
 
17.2%
Dash Punctuation 18
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 13
18.3%
5 13
18.3%
0 10
14.1%
9 10
14.1%
1 5
 
7.0%
7 4
 
5.6%
8 4
 
5.6%
3 4
 
5.6%
6 4
 
5.6%
2 4
 
5.6%
Other Letter
ValueCountFrequency (%)
세 20
76.9%
상 2
 
7.7%
이 1
 
3.8%
연 1
 
3.8%
령 1
 
3.8%
미 1
 
3.8%
Space Separator
ValueCountFrequency (%)
36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 125
82.8%
Hangul 26
 
17.2%

Most frequent character per script

Common
ValueCountFrequency (%)
36
28.8%
- 18
14.4%
4 13
 
10.4%
5 13
 
10.4%
0 10
 
8.0%
9 10
 
8.0%
1 5
 
4.0%
7 4
 
3.2%
8 4
 
3.2%
3 4
 
3.2%
Other values (2) 8
 
6.4%
Hangul
ValueCountFrequency (%)
세 20
76.9%
상 2
 
7.7%
이 1
 
3.8%
연 1
 
3.8%
령 1
 
3.8%
미 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125
82.8%
Hangul 26
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
28.8%
- 18
14.4%
4 13
 
10.4%
5 13
 
10.4%
0 10
 
8.0%
9 10
 
8.0%
1 5
 
4.0%
7 4
 
3.2%
8 4
 
3.2%
3 4
 
3.2%
Other values (2) 8
 
6.4%
Hangul
ValueCountFrequency (%)
세 20
76.9%
상 2
 
7.7%
이 1
 
3.8%
연 1
 
3.8%
령 1
 
3.8%
미 1
 
3.8%

남자
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean427.2381
Minimum1
Maximum1367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:24.540056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q123
median161
Q3919
95-th percentile1234
Maximum1367
Range1366
Interquartile range (IQR)896

Descriptive statistics

Standard deviation475.58752
Coefficient of variation (CV)1.1131674
Kurtosis-1.0189459
Mean427.2381
Median Absolute Deviation (MAD)156
Skewness0.74590541
Sum8972
Variance226183.49
MonotonicityNot monotonic
2024-04-18T03:25:24.620614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
5 2
 
9.5%
23 1
 
4.8%
641 1
 
4.8%
1 1
 
4.8%
558 1
 
4.8%
1014 1
 
4.8%
1367 1
 
4.8%
1234 1
 
4.8%
1073 1
 
4.8%
919 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
1 1
4.8%
5 2
9.5%
7 1
4.8%
15 1
4.8%
23 1
4.8%
49 1
4.8%
58 1
4.8%
69 1
4.8%
98 1
4.8%
161 1
4.8%
ValueCountFrequency (%)
1367 1
4.8%
1234 1
4.8%
1073 1
4.8%
1014 1
4.8%
947 1
4.8%
919 1
4.8%
641 1
4.8%
558 1
4.8%
436 1
4.8%
292 1
4.8%

여자
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean358.14286
Minimum2
Maximum1729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:24.702143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q120
median94
Q3377
95-th percentile1583
Maximum1729
Range1727
Interquartile range (IQR)357

Descriptive statistics

Standard deviation537.10402
Coefficient of variation (CV)1.4996921
Kurtosis1.9548296
Mean358.14286
Median Absolute Deviation (MAD)92
Skewness1.7507075
Sum7521
Variance288480.73
MonotonicityNot monotonic
2024-04-18T03:25:24.786995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2 2
 
9.5%
20 1
 
4.8%
212 1
 
4.8%
1729 1
 
4.8%
1583 1
 
4.8%
1294 1
 
4.8%
813 1
 
4.8%
477 1
 
4.8%
377 1
 
4.8%
334 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
2 2
9.5%
5 1
4.8%
6 1
4.8%
16 1
4.8%
20 1
4.8%
30 1
4.8%
34 1
4.8%
41 1
4.8%
62 1
4.8%
94 1
4.8%
ValueCountFrequency (%)
1729 1
4.8%
1583 1
4.8%
1294 1
4.8%
813 1
4.8%
477 1
4.8%
377 1
4.8%
334 1
4.8%
276 1
4.8%
212 1
4.8%
114 1
4.8%

특정 감염성 및 기생충성질환
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean47.75
Minimum1
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:24.867555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median24.5
Q386.25
95-th percentile150.25
Maximum163
Range162
Interquartile range (IQR)82.75

Descriptive statistics

Standard deviation54.542338
Coefficient of variation (CV)1.1422479
Kurtosis-0.16385729
Mean47.75
Median Absolute Deviation (MAD)23
Skewness1.0187748
Sum764
Variance2974.8667
MonotonicityNot monotonic
2024-04-18T03:25:24.951742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 2
 
9.5%
1 2
 
9.5%
5 1
 
4.8%
4 1
 
4.8%
9 1
 
4.8%
20 1
 
4.8%
29 1
 
4.8%
53 1
 
4.8%
46 1
 
4.8%
83 1
 
4.8%
Other values (4) 4
19.0%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 2
9.5%
2 2
9.5%
4 1
4.8%
5 1
4.8%
9 1
4.8%
20 1
4.8%
29 1
4.8%
46 1
4.8%
53 1
4.8%
83 1
4.8%
ValueCountFrequency (%)
163 1
4.8%
146 1
4.8%
104 1
4.8%
96 1
4.8%
83 1
4.8%
53 1
4.8%
46 1
4.8%
29 1
4.8%
20 1
4.8%
9 1
4.8%

특정 감염성 및 기생충성질환_남자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)81.2%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean23.5625
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:25.050458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median16
Q343
95-th percentile63.5
Maximum74
Range73
Interquartile range (IQR)41

Descriptive statistics

Standard deviation24.787009
Coefficient of variation (CV)1.0519686
Kurtosis-0.73812721
Mean23.5625
Median Absolute Deviation (MAD)14.5
Skewness0.79109164
Sum377
Variance614.39583
MonotonicityNot monotonic
2024-04-18T03:25:25.160582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 3
14.3%
2 2
 
9.5%
4 1
 
4.8%
3 1
 
4.8%
17 1
 
4.8%
24 1
 
4.8%
40 1
 
4.8%
28 1
 
4.8%
53 1
 
4.8%
52 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 3
14.3%
2 2
9.5%
3 1
 
4.8%
4 1
 
4.8%
15 1
 
4.8%
17 1
 
4.8%
24 1
 
4.8%
28 1
 
4.8%
40 1
 
4.8%
52 1
 
4.8%
ValueCountFrequency (%)
74 1
4.8%
60 1
4.8%
53 1
4.8%
52 1
4.8%
40 1
4.8%
28 1
4.8%
24 1
4.8%
17 1
4.8%
15 1
4.8%
4 1
4.8%

특정 감염성 및 기생충성질환_여자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean29.769231
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:25.259247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median13
Q344
95-th percentile94.6
Maximum103
Range102
Interquartile range (IQR)41

Descriptive statistics

Standard deviation36.053557
Coefficient of variation (CV)1.2111014
Kurtosis-0.04617585
Mean29.769231
Median Absolute Deviation (MAD)12
Skewness1.167422
Sum387
Variance1299.859
MonotonicityNot monotonic
2024-04-18T03:25:25.341284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 2
 
9.5%
2 1
 
4.8%
6 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%
13 1
 
4.8%
18 1
 
4.8%
30 1
 
4.8%
44 1
 
4.8%
72 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 8
38.1%
ValueCountFrequency (%)
1 2
9.5%
2 1
4.8%
3 1
4.8%
5 1
4.8%
6 1
4.8%
13 1
4.8%
18 1
4.8%
30 1
4.8%
44 1
4.8%
72 1
4.8%
ValueCountFrequency (%)
103 1
4.8%
89 1
4.8%
72 1
4.8%
44 1
4.8%
30 1
4.8%
18 1
4.8%
13 1
4.8%
6 1
4.8%
5 1
4.8%
3 1
4.8%

신생물
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean227
Minimum1
Maximum652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:25.432558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18.5
median107
Q3470
95-th percentile626.8
Maximum652
Range651
Interquartile range (IQR)461.5

Descriptive statistics

Standard deviation249.40797
Coefficient of variation (CV)1.0987135
Kurtosis-1.355521
Mean227
Median Absolute Deviation (MAD)103
Skewness0.63156868
Sum4313
Variance62204.333
MonotonicityNot monotonic
2024-04-18T03:25:25.514976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 2
 
9.5%
4 1
 
4.8%
516 1
 
4.8%
197 1
 
4.8%
424 1
 
4.8%
624 1
 
4.8%
652 1
 
4.8%
589 1
 
4.8%
527 1
 
4.8%
346 1
 
4.8%
Other values (8) 8
38.1%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
1 2
9.5%
4 1
4.8%
6 1
4.8%
8 1
4.8%
9 1
4.8%
15 1
4.8%
28 1
4.8%
63 1
4.8%
107 1
4.8%
196 1
4.8%
ValueCountFrequency (%)
652 1
4.8%
624 1
4.8%
589 1
4.8%
527 1
4.8%
516 1
4.8%
424 1
4.8%
346 1
4.8%
197 1
4.8%
196 1
4.8%
107 1
4.8%

신생물_남자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing3
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean145.38889
Minimum1
Maximum428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:25.602633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q15.5
median67.5
Q3319.75
95-th percentile413.55
Maximum428
Range427
Interquartile range (IQR)314.25

Descriptive statistics

Standard deviation165.36773
Coefficient of variation (CV)1.1374166
Kurtosis-1.2506174
Mean145.38889
Median Absolute Deviation (MAD)65.5
Skewness0.7307122
Sum2617
Variance27346.487
MonotonicityNot monotonic
2024-04-18T03:25:25.678027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 2
 
9.5%
78 1
 
4.8%
202 1
 
4.8%
361 1
 
4.8%
428 1
 
4.8%
411 1
 
4.8%
367 1
 
4.8%
359 1
 
4.8%
1 1
 
4.8%
100 1
 
4.8%
Other values (7) 7
33.3%
(Missing) 3
14.3%
ValueCountFrequency (%)
1 1
4.8%
2 2
9.5%
4 1
4.8%
5 1
4.8%
7 1
4.8%
14 1
4.8%
23 1
4.8%
57 1
4.8%
78 1
4.8%
100 1
4.8%
ValueCountFrequency (%)
428 1
4.8%
411 1
4.8%
367 1
4.8%
361 1
4.8%
359 1
4.8%
202 1
4.8%
196 1
4.8%
100 1
4.8%
78 1
4.8%
57 1
4.8%

신생물_여자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)88.9%
Missing3
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean94.222222
Minimum1
Maximum263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:25.757208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q15
median73
Q3159.25
95-th percentile229.85
Maximum263
Range262
Interquartile range (IQR)154.25

Descriptive statistics

Standard deviation91.088551
Coefficient of variation (CV)0.9667417
Kurtosis-1.2855733
Mean94.222222
Median Absolute Deviation (MAD)70
Skewness0.45423947
Sum1696
Variance8297.1242
MonotonicityNot monotonic
2024-04-18T03:25:25.840544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 3
14.3%
157 1
 
4.8%
119 1
 
4.8%
222 1
 
4.8%
263 1
 
4.8%
224 1
 
4.8%
178 1
 
4.8%
160 1
 
4.8%
1 1
 
4.8%
96 1
 
4.8%
Other values (6) 6
28.6%
(Missing) 3
14.3%
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
4 3
14.3%
8 1
 
4.8%
14 1
 
4.8%
40 1
 
4.8%
50 1
 
4.8%
96 1
 
4.8%
119 1
 
4.8%
150 1
 
4.8%
ValueCountFrequency (%)
263 1
4.8%
224 1
4.8%
222 1
4.8%
178 1
4.8%
160 1
4.8%
157 1
4.8%
150 1
4.8%
119 1
4.8%
96 1
4.8%
50 1
4.8%

혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)66.7%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean5.0833333
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:25.922651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4.5
Q37.25
95-th percentile10.35
Maximum12
Range11
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation3.5791907
Coefficient of variation (CV)0.70410309
Kurtosis-0.77014283
Mean5.0833333
Median Absolute Deviation (MAD)2.5
Skewness0.51810754
Sum61
Variance12.810606
MonotonicityNot monotonic
2024-04-18T03:25:26.004624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2
 
9.5%
2 2
 
9.5%
3 2
 
9.5%
7 2
 
9.5%
8 1
 
4.8%
12 1
 
4.8%
9 1
 
4.8%
6 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
1 2
9.5%
2 2
9.5%
3 2
9.5%
6 1
4.8%
7 2
9.5%
8 1
4.8%
9 1
4.8%
12 1
4.8%
ValueCountFrequency (%)
12 1
4.8%
9 1
4.8%
8 1
4.8%
7 2
9.5%
6 1
4.8%
3 2
9.5%
2 2
9.5%
1 2
9.5%

혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애_남자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)54.5%
Missing10
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean2.9090909
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:26.079197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median3
Q33.5
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8683975
Coefficient of variation (CV)0.64226163
Kurtosis0.9757487
Mean2.9090909
Median Absolute Deviation (MAD)1
Skewness1.0592857
Sum32
Variance3.4909091
MonotonicityNot monotonic
2024-04-18T03:25:26.151450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3
 
14.3%
3 3
 
14.3%
2 2
 
9.5%
4 1
 
4.8%
7 1
 
4.8%
5 1
 
4.8%
(Missing) 10
47.6%
ValueCountFrequency (%)
1 3
14.3%
2 2
9.5%
3 3
14.3%
4 1
 
4.8%
5 1
 
4.8%
7 1
 
4.8%
ValueCountFrequency (%)
7 1
 
4.8%
5 1
 
4.8%
4 1
 
4.8%
3 3
14.3%
2 2
9.5%
1 3
14.3%

혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애_여자
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
11 
4
4 
1
3 
2
 
1
5
 
1

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique3 ?
Unique (%)14.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
52.4%
4 4
 
19.0%
1 3
 
14.3%
2 1
 
4.8%
5 1
 
4.8%
3 1
 
4.8%

Length

2024-04-18T03:25:26.241723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:26.329620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
52.4%
4 4
 
19.0%
1 3
 
14.3%
2 1
 
4.8%
5 1
 
4.8%
3 1
 
4.8%

내분비 영양 및 대사질환
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean45.692308
Minimum2
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:26.411428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.6
Q116
median34
Q372
95-th percentile117.8
Maximum128
Range126
Interquartile range (IQR)56

Descriptive statistics

Standard deviation41.077943
Coefficient of variation (CV)0.89901223
Kurtosis-0.21033376
Mean45.692308
Median Absolute Deviation (MAD)27
Skewness0.89087649
Sum594
Variance1687.3974
MonotonicityNot monotonic
2024-04-18T03:25:26.496626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 1
 
4.8%
2 1
 
4.8%
7 1
 
4.8%
18 1
 
4.8%
16 1
 
4.8%
34 1
 
4.8%
31 1
 
4.8%
41 1
 
4.8%
50 1
 
4.8%
72 1
 
4.8%
Other values (3) 3
 
14.3%
(Missing) 8
38.1%
ValueCountFrequency (%)
2 1
4.8%
3 1
4.8%
7 1
4.8%
16 1
4.8%
18 1
4.8%
31 1
4.8%
34 1
4.8%
41 1
4.8%
50 1
4.8%
72 1
4.8%
ValueCountFrequency (%)
128 1
4.8%
111 1
4.8%
81 1
4.8%
72 1
4.8%
50 1
4.8%
41 1
4.8%
34 1
4.8%
31 1
4.8%
18 1
4.8%
16 1
4.8%

내분비 영양 및 대사질환_남자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean22.846154
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:26.584954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q110
median24
Q331
95-th percentile48.8
Maximum56
Range55
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.07262
Coefficient of variation (CV)0.7472864
Kurtosis-0.59898027
Mean22.846154
Median Absolute Deviation (MAD)14
Skewness0.4374291
Sum297
Variance291.47436
MonotonicityNot monotonic
2024-04-18T03:25:26.658045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 2
 
9.5%
7 1
 
4.8%
11 1
 
4.8%
10 1
 
4.8%
29 1
 
4.8%
24 1
 
4.8%
28 1
 
4.8%
31 1
 
4.8%
44 1
 
4.8%
56 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 8
38.1%
ValueCountFrequency (%)
1 2
9.5%
7 1
4.8%
10 1
4.8%
11 1
4.8%
16 1
4.8%
24 1
4.8%
28 1
4.8%
29 1
4.8%
31 1
4.8%
39 1
4.8%
ValueCountFrequency (%)
56 1
4.8%
44 1
4.8%
39 1
4.8%
31 1
4.8%
29 1
4.8%
28 1
4.8%
24 1
4.8%
16 1
4.8%
11 1
4.8%
10 1
4.8%

내분비 영양 및 대사질환_여자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)83.3%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean24.75
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:26.734772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q15.75
median10
Q337.25
95-th percentile72
Maximum72
Range71
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation28.155816
Coefficient of variation (CV)1.1376087
Kurtosis-0.60480517
Mean24.75
Median Absolute Deviation (MAD)8.5
Skewness1.0935979
Sum297
Variance792.75
MonotonicityNot monotonic
2024-04-18T03:25:26.813630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 2
 
9.5%
72 2
 
9.5%
2 1
 
4.8%
1 1
 
4.8%
6 1
 
4.8%
5 1
 
4.8%
13 1
 
4.8%
19 1
 
4.8%
28 1
 
4.8%
65 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
5 1
4.8%
6 1
4.8%
7 2
9.5%
13 1
4.8%
19 1
4.8%
28 1
4.8%
65 1
4.8%
72 2
9.5%
ValueCountFrequency (%)
72 2
9.5%
65 1
4.8%
28 1
4.8%
19 1
4.8%
13 1
4.8%
7 2
9.5%
6 1
4.8%
5 1
4.8%
2 1
4.8%
1 1
4.8%

정신 및 행동장애
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)84.6%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean18.384615
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:26.893949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q110
median15
Q321
95-th percentile47
Maximum47
Range46
Interquartile range (IQR)11

Descriptive statistics

Standard deviation15.283643
Coefficient of variation (CV)0.83132786
Kurtosis0.11943799
Mean18.384615
Median Absolute Deviation (MAD)6
Skewness0.99916337
Sum239
Variance233.58974
MonotonicityNot monotonic
2024-04-18T03:25:26.969186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
15 2
 
9.5%
47 2
 
9.5%
1 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%
14 1
 
4.8%
11 1
 
4.8%
21 1
 
4.8%
19 1
 
4.8%
10 1
 
4.8%
(Missing) 8
38.1%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
4 1
4.8%
10 1
4.8%
11 1
4.8%
14 1
4.8%
15 2
9.5%
19 1
4.8%
21 1
4.8%
33 1
4.8%
ValueCountFrequency (%)
47 2
9.5%
33 1
4.8%
21 1
4.8%
19 1
4.8%
15 2
9.5%
14 1
4.8%
11 1
4.8%
10 1
4.8%
4 1
4.8%
2 1
4.8%

정신 및 행동장애_남자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)76.9%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean9.2307692
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:27.055264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q313
95-th percentile16.8
Maximum18
Range17
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.5700665
Coefficient of variation (CV)0.60342387
Kurtosis-1.0795298
Mean9.2307692
Median Absolute Deviation (MAD)4
Skewness-0.14527044
Sum120
Variance31.025641
MonotonicityNot monotonic
2024-04-18T03:25:27.135387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 2
 
9.5%
9 2
 
9.5%
12 2
 
9.5%
3 1
 
4.8%
13 1
 
4.8%
7 1
 
4.8%
18 1
 
4.8%
16 1
 
4.8%
5 1
 
4.8%
14 1
 
4.8%
(Missing) 8
38.1%
ValueCountFrequency (%)
1 2
9.5%
3 1
4.8%
5 1
4.8%
7 1
4.8%
9 2
9.5%
12 2
9.5%
13 1
4.8%
14 1
4.8%
16 1
4.8%
18 1
4.8%
ValueCountFrequency (%)
18 1
4.8%
16 1
4.8%
14 1
4.8%
13 1
4.8%
12 2
9.5%
9 2
9.5%
7 1
4.8%
5 1
4.8%
3 1
4.8%
1 2
9.5%

정신 및 행동장애_여자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)58.3%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean9.9166667
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:27.216499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q312.75
95-th percentile35.25
Maximum38
Range37
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation13.283334
Coefficient of variation (CV)1.3394959
Kurtosis0.7971165
Mean9.9166667
Median Absolute Deviation (MAD)2
Skewness1.4789121
Sum119
Variance176.44697
MonotonicityNot monotonic
2024-04-18T03:25:27.290582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 4
19.0%
3 3
 
14.3%
4 1
 
4.8%
10 1
 
4.8%
21 1
 
4.8%
33 1
 
4.8%
38 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
1 4
19.0%
3 3
14.3%
4 1
 
4.8%
10 1
 
4.8%
21 1
 
4.8%
33 1
 
4.8%
38 1
 
4.8%
ValueCountFrequency (%)
38 1
 
4.8%
33 1
 
4.8%
21 1
 
4.8%
10 1
 
4.8%
4 1
 
4.8%
3 3
14.3%
1 4
19.0%

신경계통의 질환
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)72.2%
Missing3
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean35.555556
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:27.370419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median10.5
Q349.75
95-th percentile124.2
Maximum131
Range130
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation46.660504
Coefficient of variation (CV)1.3123267
Kurtosis0.0058487186
Mean35.555556
Median Absolute Deviation (MAD)9.5
Skewness1.2183747
Sum640
Variance2177.2026
MonotonicityNot monotonic
2024-04-18T03:25:27.452277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 5
23.8%
40 2
 
9.5%
2 1
 
4.8%
5 1
 
4.8%
3 1
 
4.8%
10 1
 
4.8%
11 1
 
4.8%
15 1
 
4.8%
53 1
 
4.8%
84 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 3
14.3%
ValueCountFrequency (%)
1 5
23.8%
2 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%
10 1
 
4.8%
11 1
 
4.8%
15 1
 
4.8%
40 2
 
9.5%
53 1
 
4.8%
84 1
 
4.8%
ValueCountFrequency (%)
131 1
4.8%
123 1
4.8%
118 1
4.8%
84 1
4.8%
53 1
4.8%
40 2
9.5%
15 1
4.8%
11 1
4.8%
10 1
4.8%
5 1
4.8%

신경계통의 질환_남자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)75.0%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean16.8125
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:27.532903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median9.5
Q328
95-th percentile43
Maximum52
Range51
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation17.081057
Coefficient of variation (CV)1.0159736
Kurtosis-0.75880338
Mean16.8125
Median Absolute Deviation (MAD)8.5
Skewness0.76005081
Sum269
Variance291.7625
MonotonicityNot monotonic
2024-04-18T03:25:27.827278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 4
19.0%
26 2
 
9.5%
4 1
 
4.8%
2 1
 
4.8%
5 1
 
4.8%
7 1
 
4.8%
12 1
 
4.8%
40 1
 
4.8%
39 1
 
4.8%
52 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 4
19.0%
2 1
 
4.8%
4 1
 
4.8%
5 1
 
4.8%
7 1
 
4.8%
12 1
 
4.8%
18 1
 
4.8%
26 2
9.5%
34 1
 
4.8%
39 1
 
4.8%
ValueCountFrequency (%)
52 1
4.8%
40 1
4.8%
39 1
4.8%
34 1
4.8%
26 2
9.5%
18 1
4.8%
12 1
4.8%
7 1
4.8%
5 1
4.8%
4 1
4.8%

신경계통의 질환_여자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)66.7%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean24.733333
Minimum1
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:27.904931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q329.5
95-th percentile96.2
Maximum113
Range112
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation36.362199
Coefficient of variation (CV)1.4701698
Kurtosis1.4491121
Mean24.733333
Median Absolute Deviation (MAD)4
Skewness1.6009671
Sum371
Variance1322.2095
MonotonicityNot monotonic
2024-04-18T03:25:27.982800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 5
23.8%
14 2
 
9.5%
5 1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
13 1
 
4.8%
45 1
 
4.8%
66 1
 
4.8%
89 1
 
4.8%
113 1
 
4.8%
(Missing) 6
28.6%
ValueCountFrequency (%)
1 5
23.8%
3 1
 
4.8%
4 1
 
4.8%
5 1
 
4.8%
13 1
 
4.8%
14 2
 
9.5%
45 1
 
4.8%
66 1
 
4.8%
89 1
 
4.8%
113 1
 
4.8%
ValueCountFrequency (%)
113 1
 
4.8%
89 1
 
4.8%
66 1
 
4.8%
45 1
 
4.8%
14 2
 
9.5%
13 1
 
4.8%
5 1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
1 5
23.8%

눈 및 눈 부속기의 질환
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

눈 및 눈 부속기의 질환_남자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

눈 및 눈 부속기의 질환_여자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

귀 및 유돌의 질환
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

귀 및 유돌의 질환_남자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

귀 및 유돌의 질환_여자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

순환계통의 질환
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing4
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean177.47059
Minimum1
Maximum533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:28.063722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median110
Q3270
95-th percentile529.8
Maximum533
Range532
Interquartile range (IQR)262

Descriptive statistics

Standard deviation198.52963
Coefficient of variation (CV)1.1186622
Kurtosis-0.73334469
Mean177.47059
Median Absolute Deviation (MAD)108
Skewness0.87671687
Sum3017
Variance39414.015
MonotonicityNot monotonic
2024-04-18T03:25:28.150298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 2
 
9.5%
8 1
 
4.8%
5 1
 
4.8%
22 1
 
4.8%
30 1
 
4.8%
58 1
 
4.8%
110 1
 
4.8%
2 1
 
4.8%
200 1
 
4.8%
228 1
 
4.8%
Other values (6) 6
28.6%
(Missing) 4
19.0%
ValueCountFrequency (%)
1 2
9.5%
2 1
4.8%
5 1
4.8%
8 1
4.8%
22 1
4.8%
30 1
4.8%
58 1
4.8%
110 1
4.8%
126 1
4.8%
200 1
4.8%
ValueCountFrequency (%)
533 1
4.8%
529 1
4.8%
496 1
4.8%
398 1
4.8%
270 1
4.8%
228 1
4.8%
200 1
4.8%
126 1
4.8%
110 1
4.8%
58 1
4.8%

순환계통의 질환_남자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing7
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean109.42857
Minimum3
Maximum248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:28.236702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5.6
Q129.25
median101.5
Q3172.25
95-th percentile231.1
Maximum248
Range245
Interquartile range (IQR)143

Descriptive statistics

Standard deviation83.311015
Coefficient of variation (CV)0.76132782
Kurtosis-1.3366269
Mean109.42857
Median Absolute Deviation (MAD)76.5
Skewness0.15875627
Sum1532
Variance6940.7253
MonotonicityNot monotonic
2024-04-18T03:25:28.330933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7 1
 
4.8%
3 1
 
4.8%
14 1
 
4.8%
22 1
 
4.8%
51 1
 
4.8%
80 1
 
4.8%
95 1
 
4.8%
159 1
 
4.8%
164 1
 
4.8%
184 1
 
4.8%
Other values (4) 4
19.0%
(Missing) 7
33.3%
ValueCountFrequency (%)
3 1
4.8%
7 1
4.8%
14 1
4.8%
22 1
4.8%
51 1
4.8%
80 1
4.8%
95 1
4.8%
108 1
4.8%
159 1
4.8%
164 1
4.8%
ValueCountFrequency (%)
248 1
4.8%
222 1
4.8%
184 1
4.8%
175 1
4.8%
164 1
4.8%
159 1
4.8%
108 1
4.8%
95 1
4.8%
80 1
4.8%
51 1
4.8%

순환계통의 질환_여자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)76.5%
Missing4
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean87.352941
Minimum1
Maximum388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:28.436634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median30
Q386
95-th percentile364
Maximum388
Range387
Interquartile range (IQR)84

Descriptive statistics

Standard deviation130.89783
Coefficient of variation (CV)1.4984937
Kurtosis1.1272978
Mean87.352941
Median Absolute Deviation (MAD)29
Skewness1.5723023
Sum1485
Variance17134.243
MonotonicityNot monotonic
2024-04-18T03:25:28.535290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 3
14.3%
2 2
9.5%
8 2
9.5%
7 1
 
4.8%
30 1
 
4.8%
31 1
 
4.8%
41 1
 
4.8%
64 1
 
4.8%
86 1
 
4.8%
176 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 4
19.0%
ValueCountFrequency (%)
1 3
14.3%
2 2
9.5%
7 1
 
4.8%
8 2
9.5%
30 1
 
4.8%
31 1
 
4.8%
41 1
 
4.8%
64 1
 
4.8%
86 1
 
4.8%
176 1
 
4.8%
ValueCountFrequency (%)
388 1
4.8%
358 1
4.8%
281 1
4.8%
176 1
4.8%
86 1
4.8%
64 1
4.8%
41 1
4.8%
31 1
4.8%
30 1
4.8%
8 2
9.5%

호흡계통의 질환
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)81.2%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean132.6875
Minimum1
Maximum486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:28.622326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median34
Q3211.75
95-th percentile447.75
Maximum486
Range485
Interquartile range (IQR)209.75

Descriptive statistics

Standard deviation175.76868
Coefficient of variation (CV)1.3246815
Kurtosis-0.23517946
Mean132.6875
Median Absolute Deviation (MAD)33
Skewness1.1471557
Sum2123
Variance30894.629
MonotonicityNot monotonic
2024-04-18T03:25:28.712975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 3
14.3%
2 2
 
9.5%
6 1
 
4.8%
13 1
 
4.8%
23 1
 
4.8%
45 1
 
4.8%
89 1
 
4.8%
125 1
 
4.8%
185 1
 
4.8%
292 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 3
14.3%
2 2
9.5%
6 1
 
4.8%
13 1
 
4.8%
23 1
 
4.8%
45 1
 
4.8%
89 1
 
4.8%
125 1
 
4.8%
185 1
 
4.8%
292 1
 
4.8%
ValueCountFrequency (%)
486 1
4.8%
435 1
4.8%
417 1
4.8%
292 1
4.8%
185 1
4.8%
125 1
4.8%
89 1
4.8%
45 1
4.8%
23 1
4.8%
13 1
4.8%

호흡계통의 질환_남자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean81.466667
Minimum1
Maximum252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:28.790015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median33
Q3146.5
95-th percentile246.4
Maximum252
Range251
Interquartile range (IQR)143.5

Descriptive statistics

Standard deviation94.02801
Coefficient of variation (CV)1.15419
Kurtosis-0.84876362
Mean81.466667
Median Absolute Deviation (MAD)32
Skewness0.83923591
Sum1222
Variance8841.2667
MonotonicityNot monotonic
2024-04-18T03:25:28.872188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 3
14.3%
2 1
 
4.8%
4 1
 
4.8%
10 1
 
4.8%
15 1
 
4.8%
33 1
 
4.8%
64 1
 
4.8%
96 1
 
4.8%
137 1
 
4.8%
206 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 6
28.6%
ValueCountFrequency (%)
1 3
14.3%
2 1
 
4.8%
4 1
 
4.8%
10 1
 
4.8%
15 1
 
4.8%
33 1
 
4.8%
64 1
 
4.8%
96 1
 
4.8%
137 1
 
4.8%
156 1
 
4.8%
ValueCountFrequency (%)
252 1
4.8%
244 1
4.8%
206 1
4.8%
156 1
4.8%
137 1
4.8%
96 1
4.8%
64 1
4.8%
33 1
4.8%
15 1
4.8%
10 1
4.8%

호흡계통의 질환_여자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean69.307692
Minimum1
Maximum261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:28.951273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median25
Q386
95-th percentile249.6
Maximum261
Range260
Interquartile range (IQR)83

Descriptive statistics

Standard deviation95.357559
Coefficient of variation (CV)1.3758582
Kurtosis0.27797148
Mean69.307692
Median Absolute Deviation (MAD)23
Skewness1.3463382
Sum901
Variance9093.0641
MonotonicityIncreasing
2024-04-18T03:25:29.053292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 2
 
9.5%
2 1
 
4.8%
3 1
 
4.8%
8 1
 
4.8%
12 1
 
4.8%
25 1
 
4.8%
29 1
 
4.8%
48 1
 
4.8%
86 1
 
4.8%
183 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 8
38.1%
ValueCountFrequency (%)
1 2
9.5%
2 1
4.8%
3 1
4.8%
8 1
4.8%
12 1
4.8%
25 1
4.8%
29 1
4.8%
48 1
4.8%
86 1
4.8%
183 1
4.8%
ValueCountFrequency (%)
261 1
4.8%
242 1
4.8%
183 1
4.8%
86 1
4.8%
48 1
4.8%
29 1
4.8%
25 1
4.8%
12 1
4.8%
8 1
4.8%
3 1
4.8%

소화계통의 질환
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)88.2%
Missing4
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean44.058824
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:29.136114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median44
Q378
95-th percentile89.4
Maximum91
Range90
Interquartile range (IQR)74

Descriptive statistics

Standard deviation35.449737
Coefficient of variation (CV)0.80460016
Kurtosis-1.7947431
Mean44.058824
Median Absolute Deviation (MAD)36
Skewness-0.032667121
Sum749
Variance1256.6838
MonotonicityNot monotonic
2024-04-18T03:25:29.213870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 2
 
9.5%
4 2
 
9.5%
3 1
 
4.8%
8 1
 
4.8%
27 1
 
4.8%
43 1
 
4.8%
82 1
 
4.8%
89 1
 
4.8%
80 1
 
4.8%
72 1
 
4.8%
Other values (5) 5
23.8%
(Missing) 4
19.0%
ValueCountFrequency (%)
1 2
9.5%
3 1
4.8%
4 2
9.5%
8 1
4.8%
27 1
4.8%
43 1
4.8%
44 1
4.8%
46 1
4.8%
72 1
4.8%
76 1
4.8%
ValueCountFrequency (%)
91 1
4.8%
89 1
4.8%
82 1
4.8%
80 1
4.8%
78 1
4.8%
76 1
4.8%
72 1
4.8%
46 1
4.8%
44 1
4.8%
43 1
4.8%

소화계통의 질환_남자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean28.625
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:29.292688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q14.75
median25.5
Q344.75
95-th percentile65.25
Maximum72
Range71
Interquartile range (IQR)40

Descriptive statistics

Standard deviation24.611312
Coefficient of variation (CV)0.85978382
Kurtosis-1.2547585
Mean28.625
Median Absolute Deviation (MAD)21
Skewness0.43044062
Sum458
Variance605.71667
MonotonicityNot monotonic
2024-04-18T03:25:29.374636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
63 1
 
4.8%
8 1
 
4.8%
23 1
 
4.8%
39 1
 
4.8%
41 1
 
4.8%
28 1
 
4.8%
56 1
 
4.8%
1 1
 
4.8%
3 1
 
4.8%
61 1
 
4.8%
Other values (6) 6
28.6%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
8 1
4.8%
16 1
4.8%
23 1
4.8%
28 1
4.8%
36 1
4.8%
ValueCountFrequency (%)
72 1
4.8%
63 1
4.8%
61 1
4.8%
56 1
4.8%
41 1
4.8%
39 1
4.8%
36 1
4.8%
28 1
4.8%
23 1
4.8%
16 1
4.8%

소화계통의 질환_여자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing7
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean20.785714
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:29.458520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q18
median16.5
Q331.5
95-th percentile53.05
Maximum55
Range54
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation17.68171
Coefficient of variation (CV)0.85066644
Kurtosis-0.2440228
Mean20.785714
Median Absolute Deviation (MAD)11.5
Skewness0.88560663
Sum291
Variance312.64286
MonotonicityNot monotonic
2024-04-18T03:25:29.538402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
17 2
 
9.5%
16 2
 
9.5%
1 1
 
4.8%
2 1
 
4.8%
3 1
 
4.8%
11 1
 
4.8%
7 1
 
4.8%
21 1
 
4.8%
35 1
 
4.8%
52 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 7
33.3%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
7 1
4.8%
11 1
4.8%
16 2
9.5%
17 2
9.5%
21 1
4.8%
35 1
4.8%
38 1
4.8%
ValueCountFrequency (%)
55 1
4.8%
52 1
4.8%
38 1
4.8%
35 1
4.8%
21 1
4.8%
17 2
9.5%
16 2
9.5%
11 1
4.8%
7 1
4.8%
3 1
4.8%

피부 및 피부조직의 질환
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
12 
4
3 
1
2 
2
2 
5
 
1

Length

Max length4
Median length4
Mean length2.7142857
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 12
57.1%
4 3
 
14.3%
1 2
 
9.5%
2 2
 
9.5%
5 1
 
4.8%
3 1
 
4.8%

Length

2024-04-18T03:25:29.631295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:29.716946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
57.1%
4 3
 
14.3%
1 2
 
9.5%
2 2
 
9.5%
5 1
 
4.8%
3 1
 
4.8%

피부 및 피부조직의 질환_남자
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
14 
2
3 
1
2 
4
2 

Length

Max length4
Median length4
Mean length3
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> 14
66.7%
2 3
 
14.3%
1 2
 
9.5%
4 2
 
9.5%

Length

2024-04-18T03:25:29.811561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:29.899943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
66.7%
2 3
 
14.3%
1 2
 
9.5%
4 2
 
9.5%

피부 및 피부조직의 질환_여자
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
15 
1
3 
2
2 
3
 
1

Length

Max length4
Median length4
Mean length3.1428571
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
71.4%
1 3
 
14.3%
2 2
 
9.5%
3 1
 
4.8%

Length

2024-04-18T03:25:29.992304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:30.081807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
71.4%
1 3
 
14.3%
2 2
 
9.5%
3 1
 
4.8%

근골격 계통 및 결합조직의 질환
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean5.3
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:30.156095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q13.25
median4.5
Q37.5
95-th percentile10.1
Maximum11
Range10
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.1989582
Coefficient of variation (CV)0.60357701
Kurtosis-0.60746382
Mean5.3
Median Absolute Deviation (MAD)2
Skewness0.52541536
Sum53
Variance10.233333
MonotonicityNot monotonic
2024-04-18T03:25:30.228790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 2
 
9.5%
1 1
 
4.8%
2 1
 
4.8%
3 1
 
4.8%
6 1
 
4.8%
9 1
 
4.8%
5 1
 
4.8%
8 1
 
4.8%
11 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 2
9.5%
5 1
4.8%
6 1
4.8%
8 1
4.8%
9 1
4.8%
11 1
4.8%
ValueCountFrequency (%)
11 1
4.8%
9 1
4.8%
8 1
4.8%
6 1
4.8%
5 1
4.8%
4 2
9.5%
3 1
4.8%
2 1
4.8%
1 1
4.8%

근골격 계통 및 결합조직의 질환_남자
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
13 
2
4 
4
2 
1
 
1
5
 
1

Length

Max length4
Median length4
Mean length2.8571429
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
61.9%
2 4
 
19.0%
4 2
 
9.5%
1 1
 
4.8%
5 1
 
4.8%

Length

2024-04-18T03:25:30.318886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:30.403369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
61.9%
2 4
 
19.0%
4 2
 
9.5%
1 1
 
4.8%
5 1
 
4.8%

근골격 계통 및 결합조직의 질환_여자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)75.0%
Missing13
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean3.875
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:30.482396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3
Q34.5
95-th percentile9.25
Maximum11
Range10
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation3.3139316
Coefficient of variation (CV)0.85520816
Kurtosis2.9110672
Mean3.875
Median Absolute Deviation (MAD)1.5
Skewness1.6530361
Sum31
Variance10.982143
MonotonicityNot monotonic
2024-04-18T03:25:30.559699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2
 
9.5%
3 2
 
9.5%
2 1
 
4.8%
4 1
 
4.8%
6 1
 
4.8%
11 1
 
4.8%
(Missing) 13
61.9%
ValueCountFrequency (%)
1 2
9.5%
2 1
4.8%
3 2
9.5%
4 1
4.8%
6 1
4.8%
11 1
4.8%
ValueCountFrequency (%)
11 1
4.8%
6 1
4.8%
4 1
4.8%
3 2
9.5%
2 1
4.8%
1 2
9.5%

비뇨생식 계통의 질환
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing7
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean38.571429
Minimum1
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:30.634594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median18
Q364.5
95-th percentile118.75
Maximum122
Range121
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation43.997752
Coefficient of variation (CV)1.1406825
Kurtosis-0.47209273
Mean38.571429
Median Absolute Deviation (MAD)17
Skewness0.95481679
Sum540
Variance1935.8022
MonotonicityNot monotonic
2024-04-18T03:25:30.718292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 2
 
9.5%
2 2
 
9.5%
6 1
 
4.8%
7 1
 
4.8%
8 1
 
4.8%
28 1
 
4.8%
37 1
 
4.8%
54 1
 
4.8%
68 1
 
4.8%
122 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 7
33.3%
ValueCountFrequency (%)
1 2
9.5%
2 2
9.5%
6 1
4.8%
7 1
4.8%
8 1
4.8%
28 1
4.8%
37 1
4.8%
54 1
4.8%
68 1
4.8%
87 1
4.8%
ValueCountFrequency (%)
122 1
4.8%
117 1
4.8%
87 1
4.8%
68 1
4.8%
54 1
4.8%
37 1
4.8%
28 1
4.8%
8 1
4.8%
7 1
4.8%
6 1
4.8%

비뇨생식 계통의 질환_남자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)76.9%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean17.230769
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:30.799846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median16
Q330
95-th percentile39.4
Maximum40
Range39
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.850106
Coefficient of variation (CV)0.86183649
Kurtosis-1.5652087
Mean17.230769
Median Absolute Deviation (MAD)14
Skewness0.31380808
Sum224
Variance220.52564
MonotonicityNot monotonic
2024-04-18T03:25:30.883206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 3
 
14.3%
6 2
 
9.5%
5 1
 
4.8%
16 1
 
4.8%
24 1
 
4.8%
30 1
 
4.8%
32 1
 
4.8%
40 1
 
4.8%
39 1
 
4.8%
23 1
 
4.8%
(Missing) 8
38.1%
ValueCountFrequency (%)
1 3
14.3%
5 1
 
4.8%
6 2
9.5%
16 1
 
4.8%
23 1
 
4.8%
24 1
 
4.8%
30 1
 
4.8%
32 1
 
4.8%
39 1
 
4.8%
40 1
 
4.8%
ValueCountFrequency (%)
40 1
 
4.8%
39 1
 
4.8%
32 1
 
4.8%
30 1
 
4.8%
24 1
 
4.8%
23 1
 
4.8%
16 1
 
4.8%
6 2
9.5%
5 1
 
4.8%
1 3
14.3%

비뇨생식 계통의 질환_여자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)75.0%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean26.333333
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:30.980833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median12.5
Q343
95-th percentile79.8
Maximum82
Range81
Interquartile range (IQR)41.25

Descriptive statistics

Standard deviation31.303016
Coefficient of variation (CV)1.1887221
Kurtosis-0.62622101
Mean26.333333
Median Absolute Deviation (MAD)11.5
Skewness1.002398
Sum316
Variance979.87879
MonotonicityNot monotonic
2024-04-18T03:25:31.101409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 3
 
14.3%
2 2
 
9.5%
12 1
 
4.8%
13 1
 
4.8%
24 1
 
4.8%
36 1
 
4.8%
82 1
 
4.8%
78 1
 
4.8%
64 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
1 3
14.3%
2 2
9.5%
12 1
 
4.8%
13 1
 
4.8%
24 1
 
4.8%
36 1
 
4.8%
64 1
 
4.8%
78 1
 
4.8%
82 1
 
4.8%
ValueCountFrequency (%)
82 1
 
4.8%
78 1
 
4.8%
64 1
 
4.8%
36 1
 
4.8%
24 1
 
4.8%
13 1
 
4.8%
12 1
 
4.8%
2 2
9.5%
1 3
14.3%

임신 출산 및 산후기
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
1
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
1 1
 
4.8%

Length

2024-04-18T03:25:31.197325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:31.277414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
1 1
 
4.8%

임신 출산 및 산후기_남자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

임신 출산 및 산후기_여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
1
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
1 1
 
4.8%

Length

2024-04-18T03:25:31.378573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:31.452998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
1 1
 
4.8%

출생전후기에 기원한 특정병태
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
17
 
1

Length

Max length4
Median length4
Mean length3.9047619
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row17
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
17 1
 
4.8%

Length

2024-04-18T03:25:31.536908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:31.617404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
17 1
 
4.8%

출생전후기에 기원한 특정병태_남자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
7
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row7
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
7 1
 
4.8%

Length

2024-04-18T03:25:31.692672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:31.768707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
7 1
 
4.8%

출생전후기에 기원한 특정병태_여자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
10
 
1

Length

Max length4
Median length4
Mean length3.9047619
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row10
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
10 1
 
4.8%

Length

2024-04-18T03:25:31.850662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:31.930549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
10 1
 
4.8%

선천기형 변형 및 염색체 이상
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
13 
1
4 
2
3 
9
 
1

Length

Max length4
Median length4
Mean length2.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row9
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 13
61.9%
1 4
 
19.0%
2 3
 
14.3%
9 1
 
4.8%

Length

2024-04-18T03:25:32.008482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:32.093189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
61.9%
1 4
 
19.0%
2 3
 
14.3%
9 1
 
4.8%

선천기형 변형 및 염색체 이상_남자
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
13 
1
6 
7
 
1
2
 
1

Length

Max length4
Median length4
Mean length2.8571429
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row7
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 13
61.9%
1 6
28.6%
7 1
 
4.8%
2 1
 
4.8%

Length

2024-04-18T03:25:32.202666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:32.297701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
61.9%
1 6
28.6%
7 1
 
4.8%
2 1
 
4.8%

선천기형 변형 및 염색체 이상_여자
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
18 
1
2 
2
 
1

Length

Max length4
Median length4
Mean length3.5714286
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row2
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
85.7%
1 2
 
9.5%
2 1
 
4.8%

Length

2024-04-18T03:25:32.410085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:32.513280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
85.7%
1 2
 
9.5%
2 1
 
4.8%

달리 분류되지 않은 증상징후
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean105.78947
Minimum1
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:32.592149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q16
median41
Q394.5
95-th percentile435.3
Maximum600
Range599
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation165.40609
Coefficient of variation (CV)1.5635402
Kurtosis3.9178654
Mean105.78947
Median Absolute Deviation (MAD)36
Skewness2.0890608
Sum2010
Variance27359.175
MonotonicityNot monotonic
2024-04-18T03:25:32.676059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5 2
 
9.5%
85 1
 
4.8%
1 1
 
4.8%
600 1
 
4.8%
417 1
 
4.8%
324 1
 
4.8%
179 1
 
4.8%
104 1
 
4.8%
73 1
 
4.8%
8 1
 
4.8%
Other values (8) 8
38.1%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
5 2
9.5%
7 1
4.8%
8 1
4.8%
10 1
4.8%
16 1
4.8%
41 1
4.8%
56 1
4.8%
ValueCountFrequency (%)
600 1
4.8%
417 1
4.8%
324 1
4.8%
179 1
4.8%
104 1
4.8%
85 1
4.8%
74 1
4.8%
73 1
4.8%
56 1
4.8%
41 1
4.8%

달리 분류되지 않은 증상징후_남자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing4
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean52.764706
Minimum1
Maximum169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:32.989133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q15
median46
Q373
95-th percentile151.4
Maximum169
Range168
Interquartile range (IQR)68

Descriptive statistics

Standard deviation53.180741
Coefficient of variation (CV)1.0078847
Kurtosis-0.071399299
Mean52.764706
Median Absolute Deviation (MAD)41
Skewness0.90974493
Sum897
Variance2828.1912
MonotonicityNot monotonic
2024-04-18T03:25:33.071600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 1
 
4.8%
107 1
 
4.8%
147 1
 
4.8%
169 1
 
4.8%
104 1
 
4.8%
68 1
 
4.8%
50 1
 
4.8%
73 1
 
4.8%
5 1
 
4.8%
46 1
 
4.8%
Other values (7) 7
33.3%
(Missing) 4
19.0%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
8 1
4.8%
12 1
4.8%
33 1
4.8%
46 1
4.8%
50 1
4.8%
ValueCountFrequency (%)
169 1
4.8%
147 1
4.8%
107 1
4.8%
104 1
4.8%
73 1
4.8%
68 1
4.8%
65 1
4.8%
50 1
4.8%
46 1
4.8%
33 1
4.8%

달리 분류되지 않은 증상징후_여자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)73.7%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean58.578947
Minimum1
Maximum493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:33.167482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q12.5
median8
Q329.5
95-th percentile292.3
Maximum493
Range492
Interquartile range (IQR)27

Descriptive statistics

Standard deviation125.31618
Coefficient of variation (CV)2.13927
Kurtosis8.3271737
Mean58.578947
Median Absolute Deviation (MAD)6
Skewness2.8464924
Sum1113
Variance15704.146
MonotonicityNot monotonic
2024-04-18T03:25:33.275500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 4
19.0%
3 3
14.3%
4 1
 
4.8%
8 1
 
4.8%
10 1
 
4.8%
9 1
 
4.8%
12 1
 
4.8%
23 1
 
4.8%
36 1
 
4.8%
75 1
 
4.8%
Other values (4) 4
19.0%
(Missing) 2
9.5%
ValueCountFrequency (%)
1 1
 
4.8%
2 4
19.0%
3 3
14.3%
4 1
 
4.8%
8 1
 
4.8%
9 1
 
4.8%
10 1
 
4.8%
12 1
 
4.8%
23 1
 
4.8%
36 1
 
4.8%
ValueCountFrequency (%)
493 1
4.8%
270 1
4.8%
155 1
4.8%
75 1
4.8%
36 1
4.8%
23 1
4.8%
12 1
4.8%
10 1
4.8%
9 1
4.8%
8 1
4.8%

질병이환 및 사망의 외인
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)75.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean66.35
Minimum3
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:33.370360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q146.5
median79
Q389.25
95-th percentile122.2
Maximum126
Range123
Interquartile range (IQR)42.75

Descriptive statistics

Standard deviation39.311542
Coefficient of variation (CV)0.59248745
Kurtosis-0.80073475
Mean66.35
Median Absolute Deviation (MAD)17.5
Skewness-0.48459013
Sum1327
Variance1545.3974
MonotonicityNot monotonic
2024-04-18T03:25:33.452689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
85 3
14.3%
3 2
 
9.5%
6 2
 
9.5%
79 2
 
9.5%
21 1
 
4.8%
55 1
 
4.8%
62 1
 
4.8%
65 1
 
4.8%
89 1
 
4.8%
110 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
3 2
9.5%
6 2
9.5%
21 1
 
4.8%
55 1
 
4.8%
61 1
 
4.8%
62 1
 
4.8%
65 1
 
4.8%
79 2
9.5%
85 3
14.3%
89 1
 
4.8%
ValueCountFrequency (%)
126 1
 
4.8%
122 1
 
4.8%
110 1
 
4.8%
95 1
 
4.8%
90 1
 
4.8%
89 1
 
4.8%
85 3
14.3%
79 2
9.5%
65 1
 
4.8%
62 1
 
4.8%

질병이환 및 사망의 외인_남자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean43.35
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:33.536165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q115.5
median46
Q366
95-th percentile85.75
Maximum100
Range99
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation30.253795
Coefficient of variation (CV)0.69789608
Kurtosis-0.98381406
Mean43.35
Median Absolute Deviation (MAD)20.5
Skewness0.068483406
Sum867
Variance915.29211
MonotonicityNot monotonic
2024-04-18T03:25:33.616269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 2
 
9.5%
66 2
 
9.5%
4 2
 
9.5%
100 1
 
4.8%
17 1
 
4.8%
29 1
 
4.8%
53 1
 
4.8%
51 1
 
4.8%
67 1
 
4.8%
63 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
1 2
9.5%
4 2
9.5%
11 1
4.8%
17 1
4.8%
29 1
4.8%
35 1
4.8%
39 1
4.8%
43 1
4.8%
49 1
4.8%
51 1
4.8%
ValueCountFrequency (%)
100 1
4.8%
85 1
4.8%
83 1
4.8%
67 1
4.8%
66 2
9.5%
63 1
4.8%
53 1
4.8%
51 1
4.8%
49 1
4.8%
43 1
4.8%

질병이환 및 사망의 외인_여자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)65.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean23
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:33.695946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q116
median22.5
Q331.75
95-th percentile44.3
Maximum50
Range48
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation14.621541
Coefficient of variation (CV)0.63571919
Kurtosis-0.68253834
Mean23
Median Absolute Deviation (MAD)10
Skewness0.087328351
Sum460
Variance213.78947
MonotonicityNot monotonic
2024-04-18T03:25:33.775408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 4
19.0%
23 2
9.5%
22 2
9.5%
37 2
9.5%
44 2
9.5%
10 1
 
4.8%
20 1
 
4.8%
30 1
 
4.8%
19 1
 
4.8%
27 1
 
4.8%
Other values (3) 3
14.3%
ValueCountFrequency (%)
2 4
19.0%
10 1
 
4.8%
18 1
 
4.8%
19 1
 
4.8%
20 1
 
4.8%
22 2
9.5%
23 2
9.5%
26 1
 
4.8%
27 1
 
4.8%
30 1
 
4.8%
ValueCountFrequency (%)
50 1
4.8%
44 2
9.5%
37 2
9.5%
30 1
4.8%
27 1
4.8%
26 1
4.8%
23 2
9.5%
22 2
9.5%
20 1
4.8%
19 1
4.8%

Sample

연령별남자여자특정 감염성 및 기생충성질환특정 감염성 및 기생충성질환_남자특정 감염성 및 기생충성질환_여자신생물신생물_남자신생물_여자혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애_남자혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애_여자내분비 영양 및 대사질환내분비 영양 및 대사질환_남자내분비 영양 및 대사질환_여자정신 및 행동장애정신 및 행동장애_남자정신 및 행동장애_여자신경계통의 질환신경계통의 질환_남자신경계통의 질환_여자눈 및 눈 부속기의 질환눈 및 눈 부속기의 질환_남자눈 및 눈 부속기의 질환_여자귀 및 유돌의 질환귀 및 유돌의 질환_남자귀 및 유돌의 질환_여자순환계통의 질환순환계통의 질환_남자순환계통의 질환_여자호흡계통의 질환호흡계통의 질환_남자호흡계통의 질환_여자소화계통의 질환소화계통의 질환_남자소화계통의 질환_여자피부 및 피부조직의 질환피부 및 피부조직의 질환_남자피부 및 피부조직의 질환_여자근골격 계통 및 결합조직의 질환근골격 계통 및 결합조직의 질환_남자근골격 계통 및 결합조직의 질환_여자비뇨생식 계통의 질환비뇨생식 계통의 질환_남자비뇨생식 계통의 질환_여자임신 출산 및 산후기임신 출산 및 산후기_남자임신 출산 및 산후기_여자출생전후기에 기원한 특정병태출생전후기에 기원한 특정병태_남자출생전후기에 기원한 특정병태_여자선천기형 변형 및 염색체 이상선천기형 변형 및 염색체 이상_남자선천기형 변형 및 염색체 이상_여자달리 분류되지 않은 증상징후달리 분류되지 않은 증상징후_남자달리 분류되지 않은 증상징후_여자질병이환 및 사망의 외인질병이환 및 사망의 외인_남자질병이환 및 사망의 외인_여자
00세232022<NA>1<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>11<NA>111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17710972853312
11 - 4세55211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>22<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA>2312
25 - 9세52<NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>642
310 - 14세76<NA><NA><NA>624<NA><NA><NA><NA><NA><NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>642
415 - 19세1516<NA><NA><NA>422<NA><NA><NA><NA><NA><NA><NA><NA><NA>211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>312211110
520 - 24세493011<NA>954<NA><NA><NA><NA><NA><NA>11<NA>1<NA>1<NA><NA><NA><NA><NA><NA>2<NA>2<NA><NA><NA>33<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>22<NA>523553520
625 - 29세583411<NA>8441<NA>1<NA><NA><NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA>87111<NA>422<NA><NA><NA><NA><NA><NA>1<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>532623923
730 - 34세6941<NA><NA><NA>1578211312<NA><NA><NA>541<NA><NA><NA><NA><NA><NA>53221144<NA><NA><NA><NA><NA><NA><NA>211<NA><NA><NA><NA><NA><NA><NA><NA><NA>743654322
835 - 39세9862541281414<NA><NA><NA>2112111<NA>1<NA><NA><NA><NA><NA><NA>22148<NA><NA><NA>853<NA><NA><NA><NA><NA><NA>211<NA><NA><NA><NA><NA><NA>11<NA>1082794930
940 - 44세1619442263234022<NA>77<NA>431321<NA><NA><NA><NA><NA><NA>30228642271611<NA><NA><NA>1<NA>111<NA>1<NA>1<NA><NA><NA>11<NA>16124896623
연령별남자여자특정 감염성 및 기생충성질환특정 감염성 및 기생충성질환_남자특정 감염성 및 기생충성질환_여자신생물신생물_남자신생물_여자혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애_남자혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애_여자내분비 영양 및 대사질환내분비 영양 및 대사질환_남자내분비 영양 및 대사질환_여자정신 및 행동장애정신 및 행동장애_남자정신 및 행동장애_여자신경계통의 질환신경계통의 질환_남자신경계통의 질환_여자눈 및 눈 부속기의 질환눈 및 눈 부속기의 질환_남자눈 및 눈 부속기의 질환_여자귀 및 유돌의 질환귀 및 유돌의 질환_남자귀 및 유돌의 질환_여자순환계통의 질환순환계통의 질환_남자순환계통의 질환_여자호흡계통의 질환호흡계통의 질환_남자호흡계통의 질환_여자소화계통의 질환소화계통의 질환_남자소화계통의 질환_여자피부 및 피부조직의 질환피부 및 피부조직의 질환_남자피부 및 피부조직의 질환_여자근골격 계통 및 결합조직의 질환근골격 계통 및 결합조직의 질환_남자근골격 계통 및 결합조직의 질환_여자비뇨생식 계통의 질환비뇨생식 계통의 질환_남자비뇨생식 계통의 질환_여자임신 출산 및 산후기임신 출산 및 산후기_남자임신 출산 및 산후기_여자출생전후기에 기원한 특정병태출생전후기에 기원한 특정병태_남자출생전후기에 기원한 특정병태_여자선천기형 변형 및 염색체 이상선천기형 변형 및 염색체 이상_남자선천기형 변형 및 염색체 이상_여자달리 분류되지 않은 증상징후달리 분류되지 않은 증상징후_남자달리 분류되지 않은 증상징후_여자질병이환 및 사망의 외인질병이환 및 사망의 외인_남자질병이환 및 사망의 외인_여자
1150 - 54세4362122017319610096<NA><NA><NA>1610611741174<NA><NA><NA><NA><NA><NA>11080302315882612122<NA>22<NA>752<NA><NA><NA><NA><NA><NA>2115646101108327
1255 - 59세64127629245346196150321342952118315123<NA><NA><NA><NA><NA><NA>126953145331289721711<NA>321862<NA><NA><NA><NA><NA><NA>11<NA>746591228537
1360 - 64세9473345340135163591573123124719163402614<NA><NA><NA><NA><NA><NA>20015941896425806317541413281612<NA><NA><NA><NA><NA><NA>21185731212610026
1465 - 69세9193774628185273671607344128131091402614<NA><NA><NA><NA><NA><NA>228164641259629725616<NA><NA><NA>44<NA>372413<NA><NA><NA><NA><NA><NA>11<NA>735023856322
1570 - 74세107347783533058941117884450311915123534013<NA><NA><NA><NA><NA><NA>270184861851374844281644<NA>642543024<NA><NA><NA><NA><NA><NA><NA><NA><NA>1046836856718
1675 - 79세123481396524465242822473472442815510843945<NA><NA><NA><NA><NA><NA>39822217629220686764135422954683236<NA><NA><NA><NA><NA><NA><NA><NA><NA>17910475955144
1780 - 84세136712941467472624361263127512856723312211185266<NA><NA><NA><NA><NA><NA>5292482814352521839139524225231224082<NA><NA><NA><NA><NA><NA><NA><NA><NA>324169155905337
1885 - 89세101415831636010342420222295411139724714331233489<NA><NA><NA><NA><NA><NA>5331753584862442427823552118261173978<NA><NA><NA><NA><NA><NA><NA><NA><NA>417147270792950
1990세이상55817291041589197781196338116654793813118113<NA><NA><NA><NA><NA><NA>496108388417156261468383<NA>311<NA>11872364<NA><NA><NA><NA><NA><NA><NA><NA><NA>600107493611744
20연령미상12<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>1<NA><NA><NA>