Overview

Dataset statistics

Number of variables39
Number of observations21
Missing cells248
Missing cells (%)30.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory356.3 B

Variable types

Text1
Numeric23
Categorical10
Unsupported5

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 (여) is highly imbalanced (72.4%)Imbalance
출생전후기에 기원한 특정병태 (남) is highly imbalanced (72.4%)Imbalance
출생전후기에 기원한 특정병태 (여) is highly imbalanced (72.4%)Imbalance
선천기형 변형 및 염색체 이상 (남) is highly imbalanced (50.6%)Imbalance
특정 감염성 및 기생충성질환 (남) has 8 (38.1%) missing valuesMissing
특정 감염성 및 기생충성질환 (여) has 7 (33.3%) missing valuesMissing
신생물 (남) has 2 (9.5%) missing valuesMissing
신생물 (여) has 5 (23.8%) missing valuesMissing
내분비 영양 및 대사질환 (남) has 9 (42.9%) missing valuesMissing
내분비 영양 및 대사질환 (여) has 9 (42.9%) missing valuesMissing
정신 및 행동장애 (남) has 8 (38.1%) missing valuesMissing
정신 및 행동장애 (여) has 9 (42.9%) missing valuesMissing
신경계통의 질환 (남) has 3 (14.3%) missing valuesMissing
신경계통의 질환 (여) has 5 (23.8%) missing valuesMissing
눈 및 눈 부속기의 질환 (남) has 21 (100.0%) missing valuesMissing
눈 및 눈 부속기의 질환 (여) has 21 (100.0%) missing valuesMissing
귀 및 유돌의 질환 (남) has 21 (100.0%) missing valuesMissing
귀 및 유돌의 질환 (여) has 21 (100.0%) missing valuesMissing
순환기계통의 질환 (남) has 3 (14.3%) missing valuesMissing
순환기계통의 질환 (여) has 5 (23.8%) missing valuesMissing
호흡계통의 질환 (남) has 6 (28.6%) missing valuesMissing
호흡계통의 질환 (여) has 8 (38.1%) missing valuesMissing
소화계통의 질환 (남) has 6 (28.6%) missing valuesMissing
소화계통의 질환 (여) has 8 (38.1%) missing valuesMissing
근육골격 계통 및 결합조직의 질환 (여) has 11 (52.4%) missing valuesMissing
비뇨생식 계통의 질환 (남) has 11 (52.4%) missing valuesMissing
비뇨생식 계통의 질환 (여) has 11 (52.4%) missing valuesMissing
임신 출산 및 산후기 (남) has 21 (100.0%) missing valuesMissing
달리 분류되지 않은 증상징후 (남) has 3 (14.3%) missing valuesMissing
달리 분류되지 않은 증상징후 (여) has 5 (23.8%) missing valuesMissing
질병이환 및 사망의 외인 (여) has 1 (4.8%) missing valuesMissing
연령별 has unique valuesUnique
눈 및 눈 부속기의 질환 (남) is an unsupported type, check if it needs cleaning or further analysisUnsupported
눈 및 눈 부속기의 질환 (여) is an unsupported type, check if it needs cleaning or further analysisUnsupported
귀 및 유돌의 질환 (남) is an unsupported type, check if it needs cleaning or further analysisUnsupported
귀 및 유돌의 질환 (여) is an unsupported type, check if it needs cleaning or further analysisUnsupported
임신 출산 및 산후기 (남) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 18:25:15.904204
Analysis finished2024-04-17 18:25:16.156708
Duration0.25 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
2024-04-18T03:25:16.231849image/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%
2024-04-18T03:25:16.671042image/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%

특정 감염성 및 기생충성질환 (남)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)76.9%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:16.800777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q110
median13
Q321
95-th percentile33.2
Maximum38
Range37
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.532563
Coefficient of variation (CV)0.72078516
Kurtosis-0.55981581
Mean16
Median Absolute Deviation (MAD)8
Skewness0.4226198
Sum208
Variance133
MonotonicityNot monotonic
2024-04-18T03:25:16.933117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 2
 
9.5%
13 2
 
9.5%
21 2
 
9.5%
1 1
 
4.8%
10 1
 
4.8%
17 1
 
4.8%
29 1
 
4.8%
30 1
 
4.8%
38 1
 
4.8%
11 1
 
4.8%
(Missing) 8
38.1%
ValueCountFrequency (%)
1 1
4.8%
2 2
9.5%
10 1
4.8%
11 1
4.8%
13 2
9.5%
17 1
4.8%
21 2
9.5%
29 1
4.8%
30 1
4.8%
38 1
4.8%
ValueCountFrequency (%)
38 1
4.8%
30 1
4.8%
29 1
4.8%
21 2
9.5%
17 1
4.8%
13 2
9.5%
11 1
4.8%
10 1
4.8%
2 2
9.5%
1 1
4.8%

특정 감염성 및 기생충성질환 (여)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)64.3%
Missing7
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:17.066544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median5.5
Q321.25
95-th percentile48
Maximum48
Range47
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.645004
Coefficient of variation (CV)1.2168968
Kurtosis-0.039393744
Mean14.5
Median Absolute Deviation (MAD)4.5
Skewness1.2220423
Sum203
Variance311.34615
MonotonicityNot monotonic
2024-04-18T03:25:17.205207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 4
19.0%
5 2
 
9.5%
48 2
 
9.5%
2 1
 
4.8%
6 1
 
4.8%
10 1
 
4.8%
13 1
 
4.8%
24 1
 
4.8%
38 1
 
4.8%
(Missing) 7
33.3%
ValueCountFrequency (%)
1 4
19.0%
2 1
 
4.8%
5 2
9.5%
6 1
 
4.8%
10 1
 
4.8%
13 1
 
4.8%
24 1
 
4.8%
38 1
 
4.8%
48 2
9.5%
ValueCountFrequency (%)
48 2
9.5%
38 1
 
4.8%
24 1
 
4.8%
13 1
 
4.8%
10 1
 
4.8%
6 1
 
4.8%
5 2
9.5%
2 1
 
4.8%
1 4
19.0%

신생물 (남)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean138.68421
Minimum1
Maximum441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:17.333494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q15
median65
Q3299
95-th percentile379.8
Maximum441
Range440
Interquartile range (IQR)294

Descriptive statistics

Standard deviation158.87453
Coefficient of variation (CV)1.1455849
Kurtosis-1.1603258
Mean138.68421
Median Absolute Deviation (MAD)63
Skewness0.74411475
Sum2635
Variance25241.117
MonotonicityNot monotonic
2024-04-18T03:25:17.477905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 2
 
9.5%
4 1
 
4.8%
321 1
 
4.8%
75 1
 
4.8%
181 1
 
4.8%
373 1
 
4.8%
441 1
 
4.8%
370 1
 
4.8%
332 1
 
4.8%
277 1
 
4.8%
Other values (8) 8
38.1%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
1 1
4.8%
2 2
9.5%
3 1
4.8%
4 1
4.8%
6 1
4.8%
9 1
4.8%
17 1
4.8%
33 1
4.8%
65 1
4.8%
75 1
4.8%
ValueCountFrequency (%)
441 1
4.8%
373 1
4.8%
370 1
4.8%
332 1
4.8%
321 1
4.8%
277 1
4.8%
181 1
4.8%
123 1
4.8%
75 1
4.8%
65 1
4.8%

신생물 (여)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean109
Minimum1
Maximum261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:17.574158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q123.5
median116
Q3162.75
95-th percentile256.5
Maximum261
Range260
Interquartile range (IQR)139.25

Descriptive statistics

Standard deviation90.608315
Coefficient of variation (CV)0.83126894
Kurtosis-1.1853807
Mean109
Median Absolute Deviation (MAD)82
Skewness0.33501649
Sum1744
Variance8209.8667
MonotonicityNot monotonic
2024-04-18T03:25:17.672573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 2
 
9.5%
9 1
 
4.8%
16 1
 
4.8%
26 1
 
4.8%
42 1
 
4.8%
56 1
 
4.8%
112 1
 
4.8%
157 1
 
4.8%
145 1
 
4.8%
141 1
 
4.8%
Other values (5) 5
23.8%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 2
9.5%
9 1
4.8%
16 1
4.8%
26 1
4.8%
42 1
4.8%
56 1
4.8%
112 1
4.8%
120 1
4.8%
141 1
4.8%
145 1
4.8%
ValueCountFrequency (%)
261 1
4.8%
255 1
4.8%
222 1
4.8%
180 1
4.8%
157 1
4.8%
145 1
4.8%
141 1
4.8%
120 1
4.8%
112 1
4.8%
56 1
4.8%

혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애 (남)
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
10 
1
8 
2
3 

Length

Max length4
Median length1
Mean length2.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 10
47.6%
1 8
38.1%
2 3
 
14.3%

Length

2024-04-18T03:25:17.762798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:17.843056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 10
47.6%
1 8
38.1%
2 3
 
14.3%

혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애 (여)
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
13 
1
5 
6
 
1
5
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.8571429
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> 13
61.9%
1 5
 
23.8%
6 1
 
4.8%
5 1
 
4.8%
3 1
 
4.8%

Length

2024-04-18T03:25:17.928525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:18.012695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
61.9%
1 5
 
23.8%
6 1
 
4.8%
5 1
 
4.8%
3 1
 
4.8%

내분비 영양 및 대사질환 (남)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean20.583333
Minimum3
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:18.087152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.65
Q110.25
median17
Q328
95-th percentile43.15
Maximum47
Range44
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation13.754063
Coefficient of variation (CV)0.66821358
Kurtosis-0.42608357
Mean20.583333
Median Absolute Deviation (MAD)9.5
Skewness0.64873969
Sum247
Variance189.17424
MonotonicityNot monotonic
2024-04-18T03:25:18.160623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
15 2
 
9.5%
3 1
 
4.8%
8 1
 
4.8%
6 1
 
4.8%
19 1
 
4.8%
31 1
 
4.8%
25 1
 
4.8%
40 1
 
4.8%
47 1
 
4.8%
27 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
3 1
4.8%
6 1
4.8%
8 1
4.8%
11 1
4.8%
15 2
9.5%
19 1
4.8%
25 1
4.8%
27 1
4.8%
31 1
4.8%
40 1
4.8%
ValueCountFrequency (%)
47 1
4.8%
40 1
4.8%
31 1
4.8%
27 1
4.8%
25 1
4.8%
19 1
4.8%
15 2
9.5%
11 1
4.8%
8 1
4.8%
6 1
4.8%

내분비 영양 및 대사질환 (여)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean18.75
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:18.235700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.5
median8.5
Q330.5
95-th percentile50.6
Maximum55
Range54
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.652088
Coefficient of variation (CV)1.0481113
Kurtosis-0.73708874
Mean18.75
Median Absolute Deviation (MAD)7.5
Skewness0.92860526
Sum225
Variance386.20455
MonotonicityNot monotonic
2024-04-18T03:25:18.312331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 2
 
9.5%
3 1
 
4.8%
5 1
 
4.8%
10 1
 
4.8%
6 1
 
4.8%
7 1
 
4.8%
20 1
 
4.8%
26 1
 
4.8%
55 1
 
4.8%
47 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
1 2
9.5%
3 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
10 1
4.8%
20 1
4.8%
26 1
4.8%
44 1
4.8%
47 1
4.8%
ValueCountFrequency (%)
55 1
4.8%
47 1
4.8%
44 1
4.8%
26 1
4.8%
20 1
4.8%
10 1
4.8%
7 1
4.8%
6 1
4.8%
5 1
4.8%
3 1
4.8%

정신 및 행동장애 (남)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)76.9%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean11.230769
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:18.390969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q17
median9
Q318
95-th percentile20
Maximum20
Range19
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.8209707
Coefficient of variation (CV)0.6073467
Kurtosis-1.4156109
Mean11.230769
Median Absolute Deviation (MAD)7
Skewness-0.033417028
Sum146
Variance46.525641
MonotonicityNot monotonic
2024-04-18T03:25:18.471626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9 3
 
14.3%
20 2
 
9.5%
1 1
 
4.8%
4 1
 
4.8%
2 1
 
4.8%
12 1
 
4.8%
7 1
 
4.8%
19 1
 
4.8%
16 1
 
4.8%
18 1
 
4.8%
(Missing) 8
38.1%
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%
7 1
 
4.8%
9 3
14.3%
12 1
 
4.8%
16 1
 
4.8%
18 1
 
4.8%
19 1
 
4.8%
20 2
9.5%
ValueCountFrequency (%)
20 2
9.5%
19 1
 
4.8%
18 1
 
4.8%
16 1
 
4.8%
12 1
 
4.8%
9 3
14.3%
7 1
 
4.8%
4 1
 
4.8%
2 1
 
4.8%
1 1
 
4.8%

정신 및 행동장애 (여)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)58.3%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:18.552849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q315
95-th percentile61.7
Maximum76
Range75
Interquartile range (IQR)14

Descriptive statistics

Standard deviation24.29927
Coefficient of variation (CV)1.6758118
Kurtosis3.2589664
Mean14.5
Median Absolute Deviation (MAD)1
Skewness1.9803862
Sum174
Variance590.45455
MonotonicityNot monotonic
2024-04-18T03:25:18.628048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 5
23.8%
2 2
 
9.5%
3 1
 
4.8%
12 1
 
4.8%
24 1
 
4.8%
50 1
 
4.8%
76 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
1 5
23.8%
2 2
 
9.5%
3 1
 
4.8%
12 1
 
4.8%
24 1
 
4.8%
50 1
 
4.8%
76 1
 
4.8%
ValueCountFrequency (%)
76 1
 
4.8%
50 1
 
4.8%
24 1
 
4.8%
12 1
 
4.8%
3 1
 
4.8%
2 2
 
9.5%
1 5
23.8%

신경계통의 질환 (남)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)72.2%
Missing3
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean13.555556
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:18.706945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median7
Q322.75
95-th percentile38.05
Maximum44
Range43
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation13.621878
Coefficient of variation (CV)1.0048926
Kurtosis-0.26371236
Mean13.555556
Median Absolute Deviation (MAD)6
Skewness0.85407629
Sum244
Variance185.55556
MonotonicityNot monotonic
2024-04-18T03:25:18.782086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 4
19.0%
3 2
9.5%
4 2
9.5%
2 1
 
4.8%
10 1
 
4.8%
18 1
 
4.8%
19 1
 
4.8%
26 1
 
4.8%
25 1
 
4.8%
37 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 3
14.3%
ValueCountFrequency (%)
1 4
19.0%
2 1
 
4.8%
3 2
9.5%
4 2
9.5%
10 1
 
4.8%
18 1
 
4.8%
19 1
 
4.8%
22 1
 
4.8%
23 1
 
4.8%
25 1
 
4.8%
ValueCountFrequency (%)
44 1
4.8%
37 1
4.8%
26 1
4.8%
25 1
4.8%
23 1
4.8%
22 1
4.8%
19 1
4.8%
18 1
4.8%
10 1
4.8%
4 2
9.5%

신경계통의 질환 (여)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)75.0%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean22.25
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:18.858754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median5.5
Q323.75
95-th percentile88.5
Maximum96
Range95
Interquartile range (IQR)22

Descriptive statistics

Standard deviation33.096828
Coefficient of variation (CV)1.4874979
Kurtosis0.99053384
Mean22.25
Median Absolute Deviation (MAD)4.5
Skewness1.5762796
Sum356
Variance1095.4
MonotonicityNot monotonic
2024-04-18T03:25:18.938062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 4
19.0%
2 2
 
9.5%
3 1
 
4.8%
4 1
 
4.8%
8 1
 
4.8%
14 1
 
4.8%
7 1
 
4.8%
21 1
 
4.8%
32 1
 
4.8%
77 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 4
19.0%
2 2
9.5%
3 1
 
4.8%
4 1
 
4.8%
7 1
 
4.8%
8 1
 
4.8%
14 1
 
4.8%
21 1
 
4.8%
32 1
 
4.8%
77 1
 
4.8%
ValueCountFrequency (%)
96 1
4.8%
86 1
4.8%
77 1
4.8%
32 1
4.8%
21 1
4.8%
14 1
4.8%
8 1
4.8%
7 1
4.8%
4 1
4.8%
3 1
4.8%

눈 및 눈 부속기의 질환 (남)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

눈 및 눈 부속기의 질환 (여)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

귀 및 유돌의 질환 (남)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

귀 및 유돌의 질환 (여)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

순환기계통의 질환 (남)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)77.8%
Missing3
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean83.833333
Minimum1
Maximum249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:19.018241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median70.5
Q3140
95-th percentile229.45
Maximum249
Range248
Interquartile range (IQR)137.5

Descriptive statistics

Standard deviation83.970758
Coefficient of variation (CV)1.0016393
Kurtosis-0.92206018
Mean83.833333
Median Absolute Deviation (MAD)69
Skewness0.58454711
Sum1509
Variance7051.0882
MonotonicityNot monotonic
2024-04-18T03:25:19.102421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 4
19.0%
122 2
9.5%
2 1
 
4.8%
4 1
 
4.8%
19 1
 
4.8%
25 1
 
4.8%
46 1
 
4.8%
95 1
 
4.8%
171 1
 
4.8%
172 1
 
4.8%
Other values (4) 4
19.0%
(Missing) 3
14.3%
ValueCountFrequency (%)
1 4
19.0%
2 1
 
4.8%
4 1
 
4.8%
19 1
 
4.8%
25 1
 
4.8%
46 1
 
4.8%
95 1
 
4.8%
106 1
 
4.8%
122 2
9.5%
146 1
 
4.8%
ValueCountFrequency (%)
249 1
4.8%
226 1
4.8%
172 1
4.8%
171 1
4.8%
146 1
4.8%
122 2
9.5%
106 1
4.8%
95 1
4.8%
46 1
4.8%
25 1
4.8%

순환기계통의 질환 (여)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean90.125
Minimum1
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:19.182609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median24.5
Q3111
95-th percentile335.75
Maximum341
Range340
Interquartile range (IQR)107.25

Descriptive statistics

Standard deviation126.66064
Coefficient of variation (CV)1.4053885
Kurtosis0.1700205
Mean90.125
Median Absolute Deviation (MAD)23.5
Skewness1.3398741
Sum1442
Variance16042.917
MonotonicityNot monotonic
2024-04-18T03:25:19.261396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 3
14.3%
5 1
 
4.8%
3 1
 
4.8%
4 1
 
4.8%
19 1
 
4.8%
20 1
 
4.8%
29 1
 
4.8%
46 1
 
4.8%
59 1
 
4.8%
83 1
 
4.8%
Other values (4) 4
19.0%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 3
14.3%
3 1
 
4.8%
4 1
 
4.8%
5 1
 
4.8%
19 1
 
4.8%
20 1
 
4.8%
29 1
 
4.8%
46 1
 
4.8%
59 1
 
4.8%
83 1
 
4.8%
ValueCountFrequency (%)
341 1
4.8%
334 1
4.8%
301 1
4.8%
195 1
4.8%
83 1
4.8%
59 1
4.8%
46 1
4.8%
29 1
4.8%
20 1
4.8%
19 1
4.8%

호흡계통의 질환 (남)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean63.466667
Minimum1
Maximum205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:19.345988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median23
Q3119.5
95-th percentile199.4
Maximum205
Range204
Interquartile range (IQR)117

Descriptive statistics

Standard deviation77.484438
Coefficient of variation (CV)1.2208682
Kurtosis-0.77286596
Mean63.466667
Median Absolute Deviation (MAD)22
Skewness0.94581265
Sum952
Variance6003.8381
MonotonicityNot monotonic
2024-04-18T03:25:19.434020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 2
 
9.5%
1 2
 
9.5%
3 1
 
4.8%
7 1
 
4.8%
10 1
 
4.8%
23 1
 
4.8%
35 1
 
4.8%
54 1
 
4.8%
107 1
 
4.8%
197 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 6
28.6%
ValueCountFrequency (%)
1 2
9.5%
2 2
9.5%
3 1
4.8%
7 1
4.8%
10 1
4.8%
23 1
4.8%
35 1
4.8%
54 1
4.8%
107 1
4.8%
132 1
4.8%
ValueCountFrequency (%)
205 1
4.8%
197 1
4.8%
173 1
4.8%
132 1
4.8%
107 1
4.8%
54 1
4.8%
35 1
4.8%
23 1
4.8%
10 1
4.8%
7 1
4.8%

호흡계통의 질환 (여)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean58.307692
Minimum1
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:19.520789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q13
median8
Q392
95-th percentile218.8
Maximum220
Range219
Interquartile range (IQR)89

Descriptive statistics

Standard deviation84.395285
Coefficient of variation (CV)1.4474125
Kurtosis0.11291433
Mean58.307692
Median Absolute Deviation (MAD)6
Skewness1.304198
Sum758
Variance7122.5641
MonotonicityNot monotonic
2024-04-18T03:25:19.596015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 2
 
9.5%
1 1
 
4.8%
3 1
 
4.8%
4 1
 
4.8%
8 1
 
4.8%
7 1
 
4.8%
11 1
 
4.8%
36 1
 
4.8%
92 1
 
4.8%
154 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 8
38.1%
ValueCountFrequency (%)
1 1
4.8%
2 2
9.5%
3 1
4.8%
4 1
4.8%
7 1
4.8%
8 1
4.8%
11 1
4.8%
36 1
4.8%
92 1
4.8%
154 1
4.8%
ValueCountFrequency (%)
220 1
4.8%
218 1
4.8%
154 1
4.8%
92 1
4.8%
36 1
4.8%
11 1
4.8%
8 1
4.8%
7 1
4.8%
4 1
4.8%
3 1
4.8%

소화계통의 질환 (남)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean26.8
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:19.672703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q17
median28
Q335.5
95-th percentile66.5
Maximum77
Range76
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation22.916619
Coefficient of variation (CV)0.85509773
Kurtosis0.10519851
Mean26.8
Median Absolute Deviation (MAD)18
Skewness0.84719236
Sum402
Variance525.17143
MonotonicityNot monotonic
2024-04-18T03:25:19.760830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 2
 
9.5%
28 2
 
9.5%
1 1
 
4.8%
2 1
 
4.8%
15 1
 
4.8%
30 1
 
4.8%
62 1
 
4.8%
77 1
 
4.8%
51 1
 
4.8%
40 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 6
28.6%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
4 2
9.5%
10 1
4.8%
15 1
4.8%
19 1
4.8%
28 2
9.5%
30 1
4.8%
31 1
4.8%
40 1
4.8%
ValueCountFrequency (%)
77 1
4.8%
62 1
4.8%
51 1
4.8%
40 1
4.8%
31 1
4.8%
30 1
4.8%
28 2
9.5%
19 1
4.8%
15 1
4.8%
10 1
4.8%

소화계통의 질환 (여)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)84.6%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean17.153846
Minimum2
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:19.843678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.4
Q18
median10
Q330
95-th percentile41.4
Maximum45
Range43
Interquartile range (IQR)22

Descriptive statistics

Standard deviation14.351807
Coefficient of variation (CV)0.83665242
Kurtosis-0.57124034
Mean17.153846
Median Absolute Deviation (MAD)2
Skewness1.0226995
Sum223
Variance205.97436
MonotonicityNot monotonic
2024-04-18T03:25:19.918286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
8 2
 
9.5%
9 2
 
9.5%
2 1
 
4.8%
6 1
 
4.8%
11 1
 
4.8%
12 1
 
4.8%
10 1
 
4.8%
30 1
 
4.8%
39 1
 
4.8%
45 1
 
4.8%
(Missing) 8
38.1%
ValueCountFrequency (%)
2 1
4.8%
6 1
4.8%
8 2
9.5%
9 2
9.5%
10 1
4.8%
11 1
4.8%
12 1
4.8%
30 1
4.8%
34 1
4.8%
39 1
4.8%
ValueCountFrequency (%)
45 1
4.8%
39 1
4.8%
34 1
4.8%
30 1
4.8%
12 1
4.8%
11 1
4.8%
10 1
4.8%
9 2
9.5%
8 2
9.5%
6 1
4.8%

피부 및 피부조직의 질환 (남)
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
15 
1
2 
2
2 
3
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.1428571
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> 15
71.4%
1 2
 
9.5%
2 2
 
9.5%
3 1
 
4.8%
6 1
 
4.8%

Length

2024-04-18T03:25:20.010864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:20.115513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
71.4%
1 2
 
9.5%
2 2
 
9.5%
3 1
 
4.8%
6 1
 
4.8%

피부 및 피부조직의 질환 (여)
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
15 
1
3 
4
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%
4 2
 
9.5%
3 1
 
4.8%

Length

2024-04-18T03:25:20.211924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:20.295209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
71.4%
1 3
 
14.3%
4 2
 
9.5%
3 1
 
4.8%

근육골격 계통 및 결합조직의 질환 (남)
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
13 
1
3 
2
2 
4
2 
5
 
1

Length

Max length4
Median length4
Mean length2.8571429
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> 13
61.9%
1 3
 
14.3%
2 2
 
9.5%
4 2
 
9.5%
5 1
 
4.8%

Length

2024-04-18T03:25:20.382388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:20.467198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
61.9%
1 3
 
14.3%
2 2
 
9.5%
4 2
 
9.5%
5 1
 
4.8%

근육골격 계통 및 결합조직의 질환 (여)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)70.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean4.4
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:20.544373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median4
Q36
95-th percentile8.65
Maximum10
Range9
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.9135698
Coefficient of variation (CV)0.66217495
Kurtosis-0.24895053
Mean4.4
Median Absolute Deviation (MAD)2
Skewness0.58221879
Sum44
Variance8.4888889
MonotonicityNot monotonic
2024-04-18T03:25:20.618340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 2
 
9.5%
1 2
 
9.5%
6 2
 
9.5%
5 1
 
4.8%
2 1
 
4.8%
10 1
 
4.8%
7 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
1 2
9.5%
2 1
4.8%
3 2
9.5%
5 1
4.8%
6 2
9.5%
7 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
10 1
4.8%
7 1
4.8%
6 2
9.5%
5 1
4.8%
3 2
9.5%
2 1
4.8%
1 2
9.5%

비뇨생식 계통의 질환 (남)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean20.4
Minimum2
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:20.690067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.7
Q113.25
median19
Q328.5
95-th percentile36.55
Maximum37
Range35
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation11.692353
Coefficient of variation (CV)0.57315454
Kurtosis-1.005329
Mean20.4
Median Absolute Deviation (MAD)9
Skewness0.041435339
Sum204
Variance136.71111
MonotonicityNot monotonic
2024-04-18T03:25:20.764633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 1
 
4.8%
8 1
 
4.8%
14 1
 
4.8%
20 1
 
4.8%
13 1
 
4.8%
27 1
 
4.8%
36 1
 
4.8%
37 1
 
4.8%
29 1
 
4.8%
18 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
2 1
4.8%
8 1
4.8%
13 1
4.8%
14 1
4.8%
18 1
4.8%
20 1
4.8%
27 1
4.8%
29 1
4.8%
36 1
4.8%
37 1
4.8%
ValueCountFrequency (%)
37 1
4.8%
36 1
4.8%
29 1
4.8%
27 1
4.8%
20 1
4.8%
18 1
4.8%
14 1
4.8%
13 1
4.8%
8 1
4.8%
2 1
4.8%

비뇨생식 계통의 질환 (여)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean27.1
Minimum2
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:20.841954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q17.5
median19.5
Q351
95-th percentile54.1
Maximum55
Range53
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation22.888376
Coefficient of variation (CV)0.84458954
Kurtosis-2.1820477
Mean27.1
Median Absolute Deviation (MAD)16.5
Skewness0.24049309
Sum271
Variance523.87778
MonotonicityNot monotonic
2024-04-18T03:25:20.919163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
51 2
 
9.5%
2 1
 
4.8%
4 1
 
4.8%
9 1
 
4.8%
7 1
 
4.8%
12 1
 
4.8%
27 1
 
4.8%
55 1
 
4.8%
53 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
2 1
4.8%
4 1
4.8%
7 1
4.8%
9 1
4.8%
12 1
4.8%
27 1
4.8%
51 2
9.5%
53 1
4.8%
55 1
4.8%
ValueCountFrequency (%)
55 1
4.8%
53 1
4.8%
51 2
9.5%
27 1
4.8%
12 1
4.8%
9 1
4.8%
7 1
4.8%
4 1
4.8%
2 1
4.8%

임신 출산 및 산후기 (남)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

임신 출산 및 산후기 (여)
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

2024-04-18T03:25:21.004995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:21.079487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
1 1
 
4.8%

출생전후기에 기원한 특정병태 (남)
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
16
 
1

Length

Max length4
Median length4
Mean length3.9047619
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row16
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
16 1
 
4.8%

Length

2024-04-18T03:25:21.162265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:21.244507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
16 1
 
4.8%

출생전후기에 기원한 특정병태 (여)
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
9
 
1

Length

Max length4
Median length4
Mean length3.8571429
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> 20
95.2%
9 1
 
4.8%

Length

2024-04-18T03:25:21.322818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:21.397612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
9 1
 
4.8%

선천기형 변형 및 염색체 이상 (남)
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
17 
1
2 
5
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.4285714
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row5
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
81.0%
1 2
 
9.5%
5 1
 
4.8%
2 1
 
4.8%

Length

2024-04-18T03:25:21.478859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:21.567958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
81.0%
1 2
 
9.5%
5 1
 
4.8%
2 1
 
4.8%

선천기형 변형 및 염색체 이상 (여)
Categorical

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

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row3
2nd row2
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 14
66.7%
1 4
 
19.0%
2 2
 
9.5%
3 1
 
4.8%

Length

2024-04-18T03:25:21.655937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:25:21.966977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
66.7%
1 4
 
19.0%
2 2
 
9.5%
3 1
 
4.8%

달리 분류되지 않은 증상징후 (남)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing3
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean39.055556
Minimum1
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:22.040265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.25
median36
Q351.5
95-th percentile104.9
Maximum144
Range143
Interquartile range (IQR)47.25

Descriptive statistics

Standard deviation41.173195
Coefficient of variation (CV)1.0542212
Kurtosis0.89465906
Mean39.055556
Median Absolute Deviation (MAD)31.5
Skewness1.1363904
Sum703
Variance1695.232
MonotonicityNot monotonic
2024-04-18T03:25:22.119580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 3
14.3%
4 2
 
9.5%
5 1
 
4.8%
6 1
 
4.8%
10 1
 
4.8%
37 1
 
4.8%
35 1
 
4.8%
41 1
 
4.8%
52 1
 
4.8%
46 1
 
4.8%
Other values (5) 5
23.8%
(Missing) 3
14.3%
ValueCountFrequency (%)
1 3
14.3%
4 2
9.5%
5 1
 
4.8%
6 1
 
4.8%
10 1
 
4.8%
35 1
 
4.8%
37 1
 
4.8%
41 1
 
4.8%
46 1
 
4.8%
50 1
 
4.8%
ValueCountFrequency (%)
144 1
4.8%
98 1
4.8%
88 1
4.8%
80 1
4.8%
52 1
4.8%
50 1
4.8%
46 1
4.8%
41 1
4.8%
37 1
4.8%
35 1
4.8%

달리 분류되지 않은 증상징후 (여)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)81.2%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean54.625
Minimum1
Maximum327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:22.199644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median7.5
Q338
95-th percentile245.25
Maximum327
Range326
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation96.276598
Coefficient of variation (CV)1.7625007
Kurtosis3.7031464
Mean54.625
Median Absolute Deviation (MAD)5.5
Skewness2.0779909
Sum874
Variance9269.1833
MonotonicityNot monotonic
2024-04-18T03:25:22.283964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 2
 
9.5%
1 2
 
9.5%
6 2
 
9.5%
4 1
 
4.8%
9 1
 
4.8%
7 1
 
4.8%
8 1
 
4.8%
24 1
 
4.8%
20 1
 
4.8%
80 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 2
9.5%
3 2
9.5%
4 1
4.8%
6 2
9.5%
7 1
4.8%
8 1
4.8%
9 1
4.8%
20 1
4.8%
24 1
4.8%
80 1
4.8%
ValueCountFrequency (%)
327 1
4.8%
218 1
4.8%
157 1
4.8%
80 1
4.8%
24 1
4.8%
20 1
4.8%
9 1
4.8%
8 1
4.8%
7 1
4.8%
6 2
9.5%

질병이환 및 사망의 외인 (남)
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.52381
Minimum1
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:22.367706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q19
median41
Q370
95-th percentile103
Maximum115
Range114
Interquartile range (IQR)61

Descriptive statistics

Standard deviation37.953418
Coefficient of variation (CV)0.79861901
Kurtosis-1.2018927
Mean47.52381
Median Absolute Deviation (MAD)32
Skewness0.26720817
Sum998
Variance1440.4619
MonotonicityNot monotonic
2024-04-18T03:25:22.451481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 2
 
9.5%
69 2
 
9.5%
3 1
 
4.8%
102 1
 
4.8%
26 1
 
4.8%
21 1
 
4.8%
58 1
 
4.8%
70 1
 
4.8%
103 1
 
4.8%
115 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
1 2
9.5%
2 1
4.8%
3 1
4.8%
4 1
4.8%
9 1
4.8%
21 1
4.8%
26 1
4.8%
32 1
4.8%
40 1
4.8%
41 1
4.8%
ValueCountFrequency (%)
115 1
4.8%
103 1
4.8%
102 1
4.8%
98 1
4.8%
74 1
4.8%
70 1
4.8%
69 2
9.5%
60 1
4.8%
58 1
4.8%
41 1
4.8%

질병이환 및 사망의 외인 (여)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)80.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean22.05
Minimum2
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T03:25:22.549184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.95
Q111
median22
Q330.25
95-th percentile41.55
Maximum52
Range50
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation13.449614
Coefficient of variation (CV)0.6099598
Kurtosis-0.17520999
Mean22.05
Median Absolute Deviation (MAD)10
Skewness0.45086693
Sum441
Variance180.89211
MonotonicityNot monotonic
2024-04-18T03:25:22.634391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
41 2
 
9.5%
17 2
 
9.5%
11 2
 
9.5%
25 2
 
9.5%
5 1
 
4.8%
24 1
 
4.8%
52 1
 
4.8%
31 1
 
4.8%
18 1
 
4.8%
30 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
2 1
4.8%
3 1
4.8%
5 1
4.8%
10 1
4.8%
11 2
9.5%
17 2
9.5%
18 1
4.8%
21 1
4.8%
23 1
4.8%
24 1
4.8%
ValueCountFrequency (%)
52 1
4.8%
41 2
9.5%
34 1
4.8%
31 1
4.8%
30 1
4.8%
25 2
9.5%
24 1
4.8%
23 1
4.8%
21 1
4.8%
18 1
4.8%

Sample

연령별특정 감염성 및 기생충성질환 (남)특정 감염성 및 기생충성질환 (여)신생물 (남)신생물 (여)혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애 (남)혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애 (여)내분비 영양 및 대사질환 (남)내분비 영양 및 대사질환 (여)정신 및 행동장애 (남)정신 및 행동장애 (여)신경계통의 질환 (남)신경계통의 질환 (여)눈 및 눈 부속기의 질환 (남)눈 및 눈 부속기의 질환 (여)귀 및 유돌의 질환 (남)귀 및 유돌의 질환 (여)순환기계통의 질환 (남)순환기계통의 질환 (여)호흡계통의 질환 (남)호흡계통의 질환 (여)소화계통의 질환 (남)소화계통의 질환 (여)피부 및 피부조직의 질환 (남)피부 및 피부조직의 질환 (여)근육골격 계통 및 결합조직의 질환 (남)근육골격 계통 및 결합조직의 질환 (여)비뇨생식 계통의 질환 (남)비뇨생식 계통의 질환 (여)임신 출산 및 산후기 (남)임신 출산 및 산후기 (여)출생전후기에 기원한 특정병태 (남)출생전후기에 기원한 특정병태 (여)선천기형 변형 및 염색체 이상 (남)선천기형 변형 및 염색체 이상 (여)달리 분류되지 않은 증상징후 (남)달리 분류되지 않은 증상징후 (여)질병이환 및 사망의 외인 (남)질병이환 및 사망의 외인 (여)
00세1<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>169535435
11 - 4세<NA><NA>2<NA><NA><NA><NA>1<NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA>211
25 - 9세<NA>12<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11<NA>43
310 - 14세<NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>12
415 - 19세<NA><NA>41<NA><NA><NA><NA><NA><NA>32<NA><NA><NA><NA>111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>910
520 - 24세<NA>131<NA><NA><NA><NA><NA>132<NA><NA><NA><NA>1<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>211<NA>3217
625 - 29세<NA><NA>69<NA><NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA>11<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>434011
730 - 34세<NA><NA>916<NA><NA><NA><NA>1121<NA><NA><NA><NA>453142<NA>1<NA><NA><NA><NA><NA>1<NA><NA>11414121
835 - 39세211726<NA><NA>3<NA>4<NA>11<NA><NA><NA><NA>1931246<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>636034
940 - 44세213342<NA><NA>812143<NA><NA><NA><NA>25422158<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1067423
연령별특정 감염성 및 기생충성질환 (남)특정 감염성 및 기생충성질환 (여)신생물 (남)신생물 (여)혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애 (남)혈액 및 조혈기관 질환과 면역메커니즘을 침범하는 특정장애 (여)내분비 영양 및 대사질환 (남)내분비 영양 및 대사질환 (여)정신 및 행동장애 (남)정신 및 행동장애 (여)신경계통의 질환 (남)신경계통의 질환 (여)눈 및 눈 부속기의 질환 (남)눈 및 눈 부속기의 질환 (여)귀 및 유돌의 질환 (남)귀 및 유돌의 질환 (여)순환기계통의 질환 (남)순환기계통의 질환 (여)호흡계통의 질환 (남)호흡계통의 질환 (여)소화계통의 질환 (남)소화계통의 질환 (여)피부 및 피부조직의 질환 (남)피부 및 피부조직의 질환 (여)근육골격 계통 및 결합조직의 질환 (남)근육골격 계통 및 결합조직의 질환 (여)비뇨생식 계통의 질환 (남)비뇨생식 계통의 질환 (여)임신 출산 및 산후기 (남)임신 출산 및 산후기 (여)출생전후기에 기원한 특정병태 (남)출생전후기에 기원한 특정병태 (여)선천기형 변형 및 염색체 이상 (남)선천기형 변형 및 염색체 이상 (여)달리 분류되지 않은 증상징후 (남)달리 분류되지 않은 증상징후 (여)질병이환 및 사망의 외인 (남)질병이환 및 사망의 외인 (여)
1150 - 54세1351231121119592104<NA><NA><NA><NA>95201046211<NA><NA><NA>184<NA><NA><NA><NA><NA><NA>35910217
1255 - 59세1762771572<NA>1510201188<NA><NA><NA><NA>1222923877121<NA>25149<NA><NA><NA><NA>1<NA>41711525
1360 - 64세29103211451131612<NA>1914<NA><NA><NA><NA>122463575183123207<NA><NA><NA><NA><NA><NA>52810324
1465 - 69세1353321412<NA>15773267<NA><NA><NA><NA>1715954114091<NA>121312<NA><NA><NA><NA><NA><NA>46247030
1570 - 74세2113370180112520912521<NA><NA><NA><NA>172831073631102<NA>512727<NA><NA><NA><NA><NA><NA>50206918
1675 - 79세302444125521402619123732<NA><NA><NA><NA>22619519792283024463651<NA><NA><NA><NA><NA><NA>88805841
1780 - 84세3848373261<NA>6475520244477<NA><NA><NA><NA>2493012051542839644103755<NA><NA><NA><NA><NA><NA>1441576941
1885 - 89세214818122215274716502386<NA><NA><NA><NA>1463411732181945<NA>1172953<NA><NA><NA><NA><NA>1982182131
1990세이상11387512013114418762296<NA><NA><NA><NA>1063341322201034<NA>3<NA>61851<NA><NA><NA><NA><NA><NA>803272652
20연령미상<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>11<NA>