Overview

Dataset statistics

Number of variables21
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory186.6 B

Variable types

Categorical5
Numeric16

Dataset

Description1. 건강검진사업연도: 2020~2022년 2. 시도 및 시군구: 경기도 안산시 상록구 및 단원구 3. 성별: 남자, 여자 4. 연령: 10대~70대(10세 단위), 80대 이상 5. 수검자수: 외국인등록상 거주지 기준 수검자 수 ※ 검사항목 판정기준 : 2023년 건강검진 실시기준(보건복지부 고시 제2022-321호) 6. 흡연자 수: (현재 흡연자) 공통 문진표 4번 문항에서 "2. 예"로 응답하고, 4-1번 문항에 "1. 현재 피움"으로 응답한 경우" 7. 위험 음주자 - (과음) 문진7-1 일주일 음주량 : 65세 미만 남성 14잔초과, 65세 미만 여성 및 65세 이상 남성 7잔초과, 65세이상 여성 3잔 초과 - (폭음) 문진7-2 최대 음주량 : 남성 4잔초과, 여성 3잔초과 8. 건강증진 신체활동: 문진 8-1, 8-2, 9-1, 9-2 신체활동 시간(분)계산( 시간(분) 값이 존재하면 주당횟수는 1로함) (고강도 신체활동 주당 횟수 * 시간(분)*2)+(중강도 신체활동 주당횟수 * 시간(분)) >= 300분이상 9. 근력운동 적정자수: 문진 10번문항에서 2회이상 응답 10. 고혈압 - 질환의심자: 질환의심 판정 상 사유가 "고혈압"인 자 - 유질환자: 유질환자 판정 상 사유가 "고혈압"인 자 11. 이상지질혈증 - 유질환자: 유질환자(D) 이상지질혈증 해당 - 질환의심자: 질환의심(R1) 이상지질혈증의심 해당 12. 비만 - 저체중: BMI(kg/m2) 결과 0.1 ~ 18.4 - 과체중(정상B(경계)): BMI(kg/m2) 결과 25 ~ 29.9 - 비만(질환의심): BMI(kg/m2) 결과 30 이상 13. 우울증 - 우울증상이 없음(0~4점) - 가벼운 우울증상(5~9점) - 중간 정도 우울증 의심(10~19점) - 심한 우울증 의심(20~27점) ※ 민원인의 제공 신청에 따른 제공 건으로 2023.8.14. 발췌 데이터
URLhttps://www.data.go.kr/data/15118612/fileData.do

Alerts

시도 has constant value ""Constant
흡연자 수 has 7 (8.3%) zerosZeros
위험 음주자 has 9 (10.7%) zerosZeros
건강증진신체활동 has 11 (13.1%) zerosZeros
근력운동적정자수 has 6 (7.1%) zerosZeros
고혈압 질환의심자 has 6 (7.1%) zerosZeros
고혈압 유질환자 has 5 (6.0%) zerosZeros
이상지질혈증 질환의심자 has 14 (16.7%) zerosZeros
이상지질혈증 유질환자 has 14 (16.7%) zerosZeros
저체중 has 10 (11.9%) zerosZeros
과체중(정상B(경계)) has 2 (2.4%) zerosZeros
비만(질환의심) has 7 (8.3%) zerosZeros
우울증상 없음 has 13 (15.5%) zerosZeros
가벼운 우울증상 has 19 (22.6%) zerosZeros
중간 정도 우울증 의심 has 28 (33.3%) zerosZeros
심한 우울증 의심 has 58 (69.0%) zerosZeros

Reproduction

Analysis started2023-12-12 19:44:27.841755
Analysis finished2023-12-12 19:44:28.153311
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건강검진사업연도
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
2022
28 
2021
28 
2020
28 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2022 28
33.3%
2021 28
33.3%
2020 28
33.3%

Length

2023-12-13T04:44:28.267654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:28.420192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 28
33.3%
2021 28
33.3%
2020 28
33.3%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
경기도
84 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 84
100.0%

Length

2023-12-13T04:44:28.573399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:29.019716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 84
100.0%

시군구
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
안산시 상록구
42 
안산시 단원구
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안산시 상록구
2nd row안산시 상록구
3rd row안산시 상록구
4th row안산시 상록구
5th row안산시 상록구

Common Values

ValueCountFrequency (%)
안산시 상록구 42
50.0%
안산시 단원구 42
50.0%

Length

2023-12-13T04:44:29.173448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:29.335306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안산시 84
50.0%
상록구 42
25.0%
단원구 42
25.0%

성별
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
남자
42 
여자
42 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남자 42
50.0%
여자 42
50.0%

Length

2023-12-13T04:44:29.515837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:29.666299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남자 42
50.0%
여자 42
50.0%

연령(10세)
Categorical

Distinct7
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size804.0 B
10~20대
12 
30대
12 
40대
12 
50대
12 
60대
12 
Other values (2)
24 

Length

Max length6
Median length3
Mean length3.8571429
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10~20대
2nd row30대
3rd row40대
4th row50대
5th row60대

Common Values

ValueCountFrequency (%)
10~20대 12
14.3%
30대 12
14.3%
40대 12
14.3%
50대 12
14.3%
60대 12
14.3%
70대 12
14.3%
80대 이상 12
14.3%

Length

2023-12-13T04:44:29.799129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:29.948748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10~20대 12
12.5%
30대 12
12.5%
40대 12
12.5%
50대 12
12.5%
60대 12
12.5%
70대 12
12.5%
80대 12
12.5%
이상 12
12.5%

수검자수
Real number (ℝ)

Distinct79
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean639.89286
Minimum2
Maximum3227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:30.125184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q195.25
median272
Q31101.25
95-th percentile1969.65
Maximum3227
Range3225
Interquartile range (IQR)1006

Descriptive statistics

Standard deviation794.39103
Coefficient of variation (CV)1.2414438
Kurtosis2.0877027
Mean639.89286
Median Absolute Deviation (MAD)232.5
Skewness1.5907303
Sum53751
Variance631057.11
MonotonicityNot monotonic
2023-12-13T04:44:30.363477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 3
 
3.6%
249 2
 
2.4%
327 2
 
2.4%
85 2
 
2.4%
108 1
 
1.2%
261 1
 
1.2%
149 1
 
1.2%
242 1
 
1.2%
213 1
 
1.2%
228 1
 
1.2%
Other values (69) 69
82.1%
ValueCountFrequency (%)
2 1
 
1.2%
3 1
 
1.2%
5 1
 
1.2%
9 1
 
1.2%
10 3
3.6%
12 1
 
1.2%
14 1
 
1.2%
26 1
 
1.2%
27 1
 
1.2%
32 1
 
1.2%
ValueCountFrequency (%)
3227 1
1.2%
3217 1
1.2%
3211 1
1.2%
2081 1
1.2%
1977 1
1.2%
1928 1
1.2%
1857 1
1.2%
1853 1
1.2%
1731 1
1.2%
1710 1
1.2%

흡연자 수
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.13095
Minimum0
Maximum1536
Zeros7
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:30.564665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median35
Q3150.25
95-th percentile1052.95
Maximum1536
Range1536
Interquartile range (IQR)144.25

Descriptive statistics

Standard deviation364.33011
Coefficient of variation (CV)1.8962593
Kurtosis5.3334615
Mean192.13095
Median Absolute Deviation (MAD)34
Skewness2.4677898
Sum16139
Variance132736.43
MonotonicityNot monotonic
2023-12-13T04:44:30.740693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7
 
8.3%
0 7
 
8.3%
2 3
 
3.6%
12 2
 
2.4%
6 2
 
2.4%
29 2
 
2.4%
14 2
 
2.4%
7 2
 
2.4%
16 2
 
2.4%
129 1
 
1.2%
Other values (54) 54
64.3%
ValueCountFrequency (%)
0 7
8.3%
1 7
8.3%
2 3
3.6%
3 1
 
1.2%
4 1
 
1.2%
5 1
 
1.2%
6 2
 
2.4%
7 2
 
2.4%
8 1
 
1.2%
10 1
 
1.2%
ValueCountFrequency (%)
1536 1
1.2%
1494 1
1.2%
1453 1
1.2%
1204 1
1.2%
1057 1
1.2%
1030 1
1.2%
924 1
1.2%
866 1
1.2%
802 1
1.2%
591 1
1.2%

위험 음주자
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.011905
Minimum0
Maximum88
Zeros9
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:30.968508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8.5
Q328.25
95-th percentile65.85
Maximum88
Range88
Interquartile range (IQR)25.25

Descriptive statistics

Standard deviation21.344842
Coefficient of variation (CV)1.1850408
Kurtosis1.2282899
Mean18.011905
Median Absolute Deviation (MAD)7.5
Skewness1.4545078
Sum1513
Variance455.60227
MonotonicityNot monotonic
2023-12-13T04:44:31.154819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 9
 
10.7%
3 7
 
8.3%
2 5
 
6.0%
5 4
 
4.8%
9 4
 
4.8%
1 4
 
4.8%
8 4
 
4.8%
6 3
 
3.6%
7 3
 
3.6%
10 3
 
3.6%
Other values (32) 38
45.2%
ValueCountFrequency (%)
0 9
10.7%
1 4
4.8%
2 5
6.0%
3 7
8.3%
4 3
 
3.6%
5 4
4.8%
6 3
 
3.6%
7 3
 
3.6%
8 4
4.8%
9 4
4.8%
ValueCountFrequency (%)
88 1
1.2%
73 1
1.2%
71 1
1.2%
68 1
1.2%
66 1
1.2%
65 1
1.2%
55 2
2.4%
54 1
1.2%
53 1
1.2%
51 1
1.2%

건강증진신체활동
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.369048
Minimum0
Maximum325
Zeros11
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:31.347305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.75
median19.5
Q366.5
95-th percentile214.65
Maximum325
Range325
Interquartile range (IQR)58.75

Descriptive statistics

Standard deviation76.030397
Coefficient of variation (CV)1.3984132
Kurtosis3.2349585
Mean54.369048
Median Absolute Deviation (MAD)19.5
Skewness1.9522723
Sum4567
Variance5780.6212
MonotonicityNot monotonic
2023-12-13T04:44:31.513795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
13.1%
8 5
 
6.0%
44 3
 
3.6%
1 3
 
3.6%
15 2
 
2.4%
19 2
 
2.4%
11 2
 
2.4%
7 2
 
2.4%
3 2
 
2.4%
285 2
 
2.4%
Other values (46) 50
59.5%
ValueCountFrequency (%)
0 11
13.1%
1 3
 
3.6%
3 2
 
2.4%
5 1
 
1.2%
6 2
 
2.4%
7 2
 
2.4%
8 5
6.0%
9 1
 
1.2%
10 1
 
1.2%
11 2
 
2.4%
ValueCountFrequency (%)
325 1
1.2%
285 2
2.4%
281 1
1.2%
216 1
1.2%
207 1
1.2%
202 1
1.2%
176 1
1.2%
172 1
1.2%
168 1
1.2%
149 1
1.2%

근력운동적정자수
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.380952
Minimum0
Maximum569
Zeros6
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:31.665021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median30
Q391.75
95-th percentile291.85
Maximum569
Range569
Interquartile range (IQR)81.75

Descriptive statistics

Standard deviation121.14155
Coefficient of variation (CV)1.5455483
Kurtosis6.9972401
Mean78.380952
Median Absolute Deviation (MAD)28
Skewness2.5756949
Sum6584
Variance14675.275
MonotonicityNot monotonic
2023-12-13T04:44:31.813342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
7.1%
1 4
 
4.8%
2 4
 
4.8%
30 4
 
4.8%
7 2
 
2.4%
10 2
 
2.4%
4 2
 
2.4%
27 2
 
2.4%
20 2
 
2.4%
76 2
 
2.4%
Other values (48) 54
64.3%
ValueCountFrequency (%)
0 6
7.1%
1 4
4.8%
2 4
4.8%
3 1
 
1.2%
4 2
 
2.4%
6 1
 
1.2%
7 2
 
2.4%
10 2
 
2.4%
11 2
 
2.4%
12 2
 
2.4%
ValueCountFrequency (%)
569 1
1.2%
548 1
1.2%
547 1
1.2%
330 1
1.2%
295 1
1.2%
274 1
1.2%
264 1
1.2%
263 1
1.2%
256 1
1.2%
243 1
1.2%

고혈압 질환의심자
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.166667
Minimum0
Maximum323
Zeros6
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:31.973663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median26.5
Q374.25
95-th percentile227.85
Maximum323
Range323
Interquartile range (IQR)69.25

Descriptive statistics

Standard deviation83.120878
Coefficient of variation (CV)1.3158978
Kurtosis1.1739586
Mean63.166667
Median Absolute Deviation (MAD)22.5
Skewness1.5080637
Sum5306
Variance6909.0803
MonotonicityNot monotonic
2023-12-13T04:44:32.119567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
7.1%
5 6
 
7.1%
1 4
 
4.8%
6 3
 
3.6%
26 3
 
3.6%
15 3
 
3.6%
23 2
 
2.4%
2 2
 
2.4%
3 2
 
2.4%
4 2
 
2.4%
Other values (43) 51
60.7%
ValueCountFrequency (%)
0 6
7.1%
1 4
4.8%
2 2
 
2.4%
3 2
 
2.4%
4 2
 
2.4%
5 6
7.1%
6 3
3.6%
7 1
 
1.2%
9 1
 
1.2%
11 2
 
2.4%
ValueCountFrequency (%)
323 1
1.2%
311 1
1.2%
258 1
1.2%
242 1
1.2%
228 1
1.2%
227 1
1.2%
221 1
1.2%
219 1
1.2%
210 1
1.2%
209 1
1.2%

고혈압 유질환자
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.25
Minimum0
Maximum415
Zeros5
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:32.275779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.15
Q15
median31.5
Q395.25
95-th percentile335.85
Maximum415
Range415
Interquartile range (IQR)90.25

Descriptive statistics

Standard deviation107.69858
Coefficient of variation (CV)1.3941564
Kurtosis2.0740484
Mean77.25
Median Absolute Deviation (MAD)28.5
Skewness1.7623544
Sum6489
Variance11598.985
MonotonicityNot monotonic
2023-12-13T04:44:32.428940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6
 
7.1%
0 5
 
6.0%
5 4
 
4.8%
23 3
 
3.6%
4 3
 
3.6%
3 3
 
3.6%
36 2
 
2.4%
11 2
 
2.4%
2 2
 
2.4%
66 2
 
2.4%
Other values (48) 52
61.9%
ValueCountFrequency (%)
0 5
6.0%
1 6
7.1%
2 2
 
2.4%
3 3
3.6%
4 3
3.6%
5 4
4.8%
7 1
 
1.2%
8 1
 
1.2%
10 1
 
1.2%
11 2
 
2.4%
ValueCountFrequency (%)
415 1
1.2%
400 1
1.2%
353 1
1.2%
344 1
1.2%
336 1
1.2%
335 1
1.2%
321 1
1.2%
289 1
1.2%
276 1
1.2%
247 1
1.2%

이상지질혈증 질환의심자
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.130952
Minimum0
Maximum363
Zeros14
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:32.607837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median30.5
Q3118.75
95-th percentile267.55
Maximum363
Range363
Interquartile range (IQR)116.75

Descriptive statistics

Standard deviation91.254415
Coefficient of variation (CV)1.3393973
Kurtosis1.4659881
Mean68.130952
Median Absolute Deviation (MAD)29.5
Skewness1.520307
Sum5723
Variance8327.3682
MonotonicityNot monotonic
2023-12-13T04:44:32.778137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
16.7%
2 4
 
4.8%
1 4
 
4.8%
6 3
 
3.6%
39 2
 
2.4%
5 2
 
2.4%
33 2
 
2.4%
31 2
 
2.4%
10 2
 
2.4%
35 2
 
2.4%
Other values (46) 47
56.0%
ValueCountFrequency (%)
0 14
16.7%
1 4
 
4.8%
2 4
 
4.8%
3 1
 
1.2%
4 1
 
1.2%
5 2
 
2.4%
6 3
 
3.6%
8 1
 
1.2%
10 2
 
2.4%
12 1
 
1.2%
ValueCountFrequency (%)
363 1
1.2%
322 1
1.2%
315 1
1.2%
308 1
1.2%
271 1
1.2%
248 1
1.2%
218 1
1.2%
211 1
1.2%
205 1
1.2%
202 1
1.2%

이상지질혈증 유질환자
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.488095
Minimum0
Maximum132
Zeros14
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:33.004627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4.5
Q319.5
95-th percentile80.95
Maximum132
Range132
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation27.827565
Coefficient of variation (CV)1.591229
Kurtosis5.0233104
Mean17.488095
Median Absolute Deviation (MAD)4.5
Skewness2.2819577
Sum1469
Variance774.37335
MonotonicityNot monotonic
2023-12-13T04:44:33.142007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 14
16.7%
2 10
 
11.9%
1 9
 
10.7%
3 6
 
7.1%
10 4
 
4.8%
75 3
 
3.6%
5 3
 
3.6%
11 3
 
3.6%
4 3
 
3.6%
21 2
 
2.4%
Other values (24) 27
32.1%
ValueCountFrequency (%)
0 14
16.7%
1 9
10.7%
2 10
11.9%
3 6
7.1%
4 3
 
3.6%
5 3
 
3.6%
6 2
 
2.4%
10 4
 
4.8%
11 3
 
3.6%
12 1
 
1.2%
ValueCountFrequency (%)
132 1
 
1.2%
116 1
 
1.2%
94 1
 
1.2%
83 1
 
1.2%
82 1
 
1.2%
75 3
3.6%
53 1
 
1.2%
52 1
 
1.2%
50 1
 
1.2%
39 1
 
1.2%

저체중
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum0
Maximum90
Zeros10
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:33.321965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q325.75
95-th percentile68.7
Maximum90
Range90
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation22.830438
Coefficient of variation (CV)1.2683577
Kurtosis1.4828338
Mean18
Median Absolute Deviation (MAD)6
Skewness1.560764
Sum1512
Variance521.22892
MonotonicityNot monotonic
2023-12-13T04:44:33.512341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 10
 
11.9%
3 7
 
8.3%
2 6
 
7.1%
5 6
 
7.1%
7 5
 
6.0%
10 5
 
6.0%
4 4
 
4.8%
6 4
 
4.8%
20 3
 
3.6%
15 3
 
3.6%
Other values (27) 31
36.9%
ValueCountFrequency (%)
0 10
11.9%
1 3
 
3.6%
2 6
7.1%
3 7
8.3%
4 4
 
4.8%
5 6
7.1%
6 4
 
4.8%
7 5
6.0%
8 1
 
1.2%
9 1
 
1.2%
ValueCountFrequency (%)
90 1
1.2%
85 1
1.2%
76 1
1.2%
71 1
1.2%
69 1
1.2%
67 1
1.2%
65 1
1.2%
61 1
1.2%
58 1
1.2%
50 1
1.2%

과체중(정상B(경계))
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.27381
Minimum0
Maximum1092
Zeros2
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:33.735935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q123.5
median94
Q3315
95-th percentile802.8
Maximum1092
Range1092
Interquartile range (IQR)291.5

Descriptive statistics

Standard deviation276.72449
Coefficient of variation (CV)1.3223083
Kurtosis2.2499661
Mean209.27381
Median Absolute Deviation (MAD)83.5
Skewness1.7152879
Sum17579
Variance76576.442
MonotonicityNot monotonic
2023-12-13T04:44:33.898566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95 4
 
4.8%
3 2
 
2.4%
57 2
 
2.4%
4 2
 
2.4%
9 2
 
2.4%
97 2
 
2.4%
81 2
 
2.4%
0 2
 
2.4%
2 2
 
2.4%
41 2
 
2.4%
Other values (60) 62
73.8%
ValueCountFrequency (%)
0 2
2.4%
2 2
2.4%
3 2
2.4%
4 2
2.4%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 2
2.4%
10 1
1.2%
ValueCountFrequency (%)
1092 1
1.2%
1080 1
1.2%
1076 1
1.2%
859 1
1.2%
813 1
1.2%
745 1
1.2%
709 1
1.2%
684 1
1.2%
670 1
1.2%
629 1
1.2%

비만(질환의심)
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.071429
Minimum0
Maximum248
Zeros7
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:34.399735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median20
Q360.25
95-th percentile160.85
Maximum248
Range248
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation56.579784
Coefficient of variation (CV)1.3448506
Kurtosis3.3792598
Mean42.071429
Median Absolute Deviation (MAD)17.5
Skewness1.9278688
Sum3534
Variance3201.2719
MonotonicityNot monotonic
2023-12-13T04:44:34.587736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 7
 
8.3%
6 6
 
7.1%
2 5
 
6.0%
8 4
 
4.8%
1 4
 
4.8%
20 4
 
4.8%
4 3
 
3.6%
21 3
 
3.6%
101 2
 
2.4%
50 2
 
2.4%
Other values (38) 44
52.4%
ValueCountFrequency (%)
0 7
8.3%
1 4
4.8%
2 5
6.0%
3 1
 
1.2%
4 3
3.6%
6 6
7.1%
8 4
4.8%
9 1
 
1.2%
12 1
 
1.2%
13 2
 
2.4%
ValueCountFrequency (%)
248 1
1.2%
225 1
1.2%
216 1
1.2%
199 1
1.2%
161 1
1.2%
160 1
1.2%
136 1
1.2%
121 1
1.2%
116 1
1.2%
113 1
1.2%

우울증상 없음
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.5
Minimum0
Maximum1254
Zeros13
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:34.765213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.75
median49.5
Q3177.5
95-th percentile794.65
Maximum1254
Range1254
Interquartile range (IQR)167.75

Descriptive statistics

Standard deviation259.23383
Coefficient of variation (CV)1.5952851
Kurtosis5.6054689
Mean162.5
Median Absolute Deviation (MAD)49.5
Skewness2.4120185
Sum13650
Variance67202.181
MonotonicityNot monotonic
2023-12-13T04:44:34.973377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
15.5%
52 2
 
2.4%
10 2
 
2.4%
4 2
 
2.4%
169 2
 
2.4%
36 2
 
2.4%
147 2
 
2.4%
21 1
 
1.2%
152 1
 
1.2%
47 1
 
1.2%
Other values (56) 56
66.7%
ValueCountFrequency (%)
0 13
15.5%
2 1
 
1.2%
3 1
 
1.2%
4 2
 
2.4%
5 1
 
1.2%
6 1
 
1.2%
8 1
 
1.2%
9 1
 
1.2%
10 2
 
2.4%
11 1
 
1.2%
ValueCountFrequency (%)
1254 1
1.2%
977 1
1.2%
954 1
1.2%
923 1
1.2%
799 1
1.2%
770 1
1.2%
700 1
1.2%
582 1
1.2%
503 1
1.2%
345 1
1.2%

가벼운 우울증상
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.202381
Minimum0
Maximum149
Zeros19
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:35.168112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7.5
Q325.25
95-th percentile88.35
Maximum149
Range149
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation29.339631
Coefficient of variation (CV)1.5279163
Kurtosis7.3163353
Mean19.202381
Median Absolute Deviation (MAD)7.5
Skewness2.5886675
Sum1613
Variance860.81397
MonotonicityNot monotonic
2023-12-13T04:44:35.356169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 19
22.6%
1 6
 
7.1%
7 4
 
4.8%
2 4
 
4.8%
10 3
 
3.6%
11 3
 
3.6%
5 3
 
3.6%
6 3
 
3.6%
23 2
 
2.4%
39 2
 
2.4%
Other values (29) 35
41.7%
ValueCountFrequency (%)
0 19
22.6%
1 6
 
7.1%
2 4
 
4.8%
3 1
 
1.2%
4 2
 
2.4%
5 3
 
3.6%
6 3
 
3.6%
7 4
 
4.8%
8 1
 
1.2%
9 1
 
1.2%
ValueCountFrequency (%)
149 1
1.2%
134 1
1.2%
106 1
1.2%
97 1
1.2%
90 1
1.2%
79 1
1.2%
56 1
1.2%
45 1
1.2%
42 1
1.2%
41 1
1.2%

중간 정도 우울증 의심
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8095238
Minimum0
Maximum48
Zeros28
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:35.525016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile18
Maximum48
Range48
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.1196547
Coefficient of variation (CV)1.5697766
Kurtosis7.8419373
Mean5.8095238
Median Absolute Deviation (MAD)2
Skewness2.6302598
Sum488
Variance83.168101
MonotonicityNot monotonic
2023-12-13T04:44:35.712938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 28
33.3%
1 12
14.3%
2 5
 
6.0%
8 4
 
4.8%
6 4
 
4.8%
5 4
 
4.8%
18 4
 
4.8%
3 3
 
3.6%
4 3
 
3.6%
7 3
 
3.6%
Other values (10) 14
16.7%
ValueCountFrequency (%)
0 28
33.3%
1 12
14.3%
2 5
 
6.0%
3 3
 
3.6%
4 3
 
3.6%
5 4
 
4.8%
6 4
 
4.8%
7 3
 
3.6%
8 4
 
4.8%
9 2
 
2.4%
ValueCountFrequency (%)
48 1
 
1.2%
38 1
 
1.2%
35 2
2.4%
18 4
4.8%
16 1
 
1.2%
15 1
 
1.2%
13 2
2.4%
12 2
2.4%
11 1
 
1.2%
10 1
 
1.2%

심한 우울증 의심
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48809524
Minimum0
Maximum5
Zeros58
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T04:44:35.857459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.96310301
Coefficient of variation (CV)1.9731867
Kurtosis8.610887
Mean0.48809524
Median Absolute Deviation (MAD)0
Skewness2.7700198
Sum41
Variance0.92756741
MonotonicityNot monotonic
2023-12-13T04:44:36.021624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 58
69.0%
1 19
 
22.6%
2 3
 
3.6%
4 2
 
2.4%
3 1
 
1.2%
5 1
 
1.2%
ValueCountFrequency (%)
0 58
69.0%
1 19
 
22.6%
2 3
 
3.6%
3 1
 
1.2%
4 2
 
2.4%
5 1
 
1.2%
ValueCountFrequency (%)
5 1
 
1.2%
4 2
 
2.4%
3 1
 
1.2%
2 3
 
3.6%
1 19
 
22.6%
0 58
69.0%

Sample

건강검진사업연도시도시군구성별연령(10세)수검자수흡연자 수위험 음주자건강증진신체활동근력운동적정자수고혈압 질환의심자고혈압 유질환자이상지질혈증 질환의심자이상지질혈증 유질환자저체중과체중(정상B(경계))비만(질환의심)우울증상 없음가벼운 우울증상중간 정도 우울증 의심심한 우울증 의심
02022경기도안산시 상록구남자10~20대108312152961100221852710
12022경기도안산시 상록구남자30대30214033567267311398291442281
22022경기도안산시 상록구남자40대2681705445845234754126211521270
32022경기도안산시 상록구남자50대290153104439407135122110241721541
42022경기도안산시 상록구남자60대24995327223595501639361471911
52022경기도안산시 상록구남자70대53144511122243011421000
62022경기도안산시 상록구남자80대 이상5100104100210000
72022경기도안산시 상록구여자10~20대8571660001151093913130
82022경기도안산시 상록구여자30대27730813351130115572316939153
92022경기도안산시 상록구여자40대32332617303029393781381693090
건강검진사업연도시도시군구성별연령(10세)수검자수흡연자 수위험 음주자건강증진신체활동근력운동적정자수고혈압 질환의심자고혈압 유질환자이상지질혈증 질환의심자이상지질혈증 유질환자저체중과체중(정상B(경계))비만(질환의심)우울증상 없음가벼운 우울증상중간 정도 우울증 의심심한 우울증 의심
742020경기도안산시 단원구남자60대7022808871711182011162210270251471210
752020경기도안산시 단원구남자70대9729288111536106633643501
762020경기도안산시 단원구남자80대 이상10220033000400000
772020경기도안산시 단원구여자10~20대24518882640002438164000
782020경기도안산시 단원구여자30대10169838431012615026919168816120
792020경기도안산시 단원구여자40대12761185551122102661121348374861283251
802020경기도안산시 단원구여자50대165443718111221024516383305408526735131
812020경기도안산시 단원구여자60대887729457613924716782143145019425111
822020경기도안산시 단원구여자70대139137427601910355442700
832020경기도안산시 단원구여자80대 이상260002512601710000