Overview

Dataset statistics

Number of variables32
Number of observations102
Missing cells32
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.5 KiB
Average record size in memory266.3 B

Variable types

Text9
Categorical19
Numeric4

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실)
Author한국건강증진개발원
URLhttps://www.data.go.kr/data/15100059/standard.do

Alerts

운영시작시각 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제공기관코드 has constant value ""Constant
제공기관명 has constant value ""Constant
건강생활지원센터 유형 is highly imbalanced (56.9%)Imbalance
운영종료시각 is highly imbalanced (80.0%)Imbalance
휴무일정보 is highly imbalanced (92.1%)Imbalance
의사수 is highly imbalanced (63.9%)Imbalance
신체활동전문인력수 is highly imbalanced (50.5%)Imbalance
사회복지사수 is highly imbalanced (86.1%)Imbalance
간호조무사수 is highly imbalanced (70.1%)Imbalance
기타이용안내 has 32 (31.4%) missing valuesMissing
건강생활지원센터명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
운영기관전화번호 has unique valuesUnique
간호사수 has 3 (2.9%) zerosZeros
물리/작업치료사수 has 66 (64.7%) zerosZeros

Reproduction

Analysis started2024-01-14 13:33:51.394694
Analysis finished2024-01-14 13:33:52.265148
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건강생활지원센터명
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-14T22:33:52.446457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length11.088235
Min length10

Characters and Unicode

Total characters1131
Distinct characters126
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)100.0%

Sample

1st row광영건강생활지원센터
2nd row골약건강생활지원센터
3rd row빛가람건강생활지원센터
4th row남악건강생활지원센터
5th row신대건강생활지원센터
ValueCountFrequency (%)
건강생활지원센터 2
 
1.9%
광영건강생활지원센터 1
 
1.0%
포승건강생활지원센터 1
 
1.0%
북방면건강생활지원센터 1
 
1.0%
평창군건강생활지원센터 1
 
1.0%
춘천시건강생활지원센터 1
 
1.0%
서면건강생활지원센터 1
 
1.0%
서원주건강생활지원센터 1
 
1.0%
남원주건강생활지원센터 1
 
1.0%
북삼건강생활지원센터 1
 
1.0%
Other values (93) 93
89.4%
2024-01-14T22:33:52.972153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 107
 
9.5%
강 104
 
9.2%
지 103
 
9.1%
센 102
 
9.0%
건 102
 
9.0%
생 102
 
9.0%
활 102
 
9.0%
터 102
 
9.0%
동 17
 
1.5%
시 15
 
1.3%
Other values (116) 275
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1096
96.9%
Open Punctuation 11
 
1.0%
Close Punctuation 11
 
1.0%
Decimal Number 10
 
0.9%
Space Separator 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 107
9.8%
강 104
9.5%
지 103
9.4%
센 102
9.3%
건 102
9.3%
생 102
9.3%
활 102
9.3%
터 102
9.3%
동 17
 
1.6%
시 15
 
1.4%
Other values (108) 240
21.9%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 3
30.0%
0 2
20.0%
3 2
20.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1096
96.9%
Common 35
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 107
9.8%
강 104
9.5%
지 103
9.4%
센 102
9.3%
건 102
9.3%
생 102
9.3%
활 102
9.3%
터 102
9.3%
동 17
 
1.6%
시 15
 
1.4%
Other values (108) 240
21.9%
Common
ValueCountFrequency (%)
( 11
31.4%
) 11
31.4%
1 3
 
8.6%
2 3
 
8.6%
0 2
 
5.7%
2
 
5.7%
3 2
 
5.7%
· 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1096
96.9%
ASCII 34
 
3.0%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 107
9.8%
강 104
9.5%
지 103
9.4%
센 102
9.3%
건 102
9.3%
생 102
9.3%
활 102
9.3%
터 102
9.3%
동 17
 
1.6%
시 15
 
1.4%
Other values (108) 240
21.9%
ASCII
ValueCountFrequency (%)
( 11
32.4%
) 11
32.4%
1 3
 
8.8%
2 3
 
8.8%
0 2
 
5.9%
2
 
5.9%
3 2
 
5.9%
None
ValueCountFrequency (%)
· 1
100.0%

건강생활지원센터 유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
기본형
93 
동단위형
 
9

Length

Max length4
Median length3
Mean length3.0882353
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본형 93
91.2%
동단위형 9
 
8.8%

Length

2024-01-14T22:33:53.114425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:33:53.223121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본형 93
91.2%
동단위형 9
 
8.8%

소재지도로명주소
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-14T22:33:53.555297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29.5
Mean length21.294118
Min length14

Characters and Unicode

Total characters2172
Distinct characters191
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)100.0%

Sample

1st row전라남도 광양시 금영로 127
2nd row전라남도 광양시 성황3길 19 (성황동)
3rd row전라남도 나주시 빛가람로 721
4th row전라남도 무안군 삼향읍 남악3로 40
5th row전라남도 순천시 해룡면 신대로 142
ValueCountFrequency (%)
경기도 19
 
3.9%
부산광역시 14
 
2.9%
강원특별자치도 10
 
2.1%
인천광역시 10
 
2.1%
2층 9
 
1.8%
광주광역시 8
 
1.6%
충청남도 8
 
1.6%
서구 8
 
1.6%
경상남도 7
 
1.4%
전라남도 7
 
1.4%
Other values (319) 387
79.5%
2024-01-14T22:33:54.094569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
385
 
17.7%
시 90
 
4.1%
로 85
 
3.9%
1 72
 
3.3%
도 70
 
3.2%
광 51
 
2.3%
2 51
 
2.3%
구 50
 
2.3%
길 49
 
2.3%
4 43
 
2.0%
Other values (181) 1226
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1374
63.3%
Space Separator 385
 
17.7%
Decimal Number 363
 
16.7%
Dash Punctuation 25
 
1.2%
Other Punctuation 18
 
0.8%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 90
 
6.6%
로 85
 
6.2%
도 70
 
5.1%
광 51
 
3.7%
구 50
 
3.6%
길 49
 
3.6%
산 40
 
2.9%
남 40
 
2.9%
역 36
 
2.6%
주 32
 
2.3%
Other values (165) 831
60.5%
Decimal Number
ValueCountFrequency (%)
1 72
19.8%
2 51
14.0%
4 43
11.8%
3 41
11.3%
6 30
8.3%
9 27
 
7.4%
5 26
 
7.2%
8 26
 
7.2%
7 25
 
6.9%
0 22
 
6.1%
Space Separator
ValueCountFrequency (%)
385
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1374
63.3%
Common 798
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 90
 
6.6%
로 85
 
6.2%
도 70
 
5.1%
광 51
 
3.7%
구 50
 
3.6%
길 49
 
3.6%
산 40
 
2.9%
남 40
 
2.9%
역 36
 
2.6%
주 32
 
2.3%
Other values (165) 831
60.5%
Common
ValueCountFrequency (%)
385
48.2%
1 72
 
9.0%
2 51
 
6.4%
4 43
 
5.4%
3 41
 
5.1%
6 30
 
3.8%
9 27
 
3.4%
5 26
 
3.3%
8 26
 
3.3%
7 25
 
3.1%
Other values (6) 72
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1374
63.3%
ASCII 798
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
385
48.2%
1 72
 
9.0%
2 51
 
6.4%
4 43
 
5.4%
3 41
 
5.1%
6 30
 
3.8%
9 27
 
3.4%
5 26
 
3.3%
8 26
 
3.3%
7 25
 
3.1%
Other values (6) 72
 
9.0%
Hangul
ValueCountFrequency (%)
시 90
 
6.6%
로 85
 
6.2%
도 70
 
5.1%
광 51
 
3.7%
구 50
 
3.6%
길 49
 
3.6%
산 40
 
2.9%
남 40
 
2.9%
역 36
 
2.6%
주 32
 
2.3%
Other values (165) 831
60.5%

위도
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.306942
Minimum33.482882
Maximum38.449276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-14T22:33:54.269117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.482882
5-th percentile34.934758
Q135.16154
median36.285996
Q337.473718
95-th percentile37.764907
Maximum38.449276
Range4.9663945
Interquartile range (IQR)2.3121781

Descriptive statistics

Standard deviation1.1675243
Coefficient of variation (CV)0.032157054
Kurtosis-1.168787
Mean36.306942
Median Absolute Deviation (MAD)1.1340231
Skewness-0.15156695
Sum3703.3081
Variance1.363113
MonotonicityNot monotonic
2024-01-14T22:33:54.424389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.96197069 1
 
1.0%
37.76499482 1
 
1.0%
37.14231622 1
 
1.0%
36.91364052 1
 
1.0%
37.70603412 1
 
1.0%
37.63726765 1
 
1.0%
37.90195599 1
 
1.0%
38.24438377 1
 
1.0%
37.37717331 1
 
1.0%
37.31637775 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
33.48288157 1
1.0%
33.51836381 1
1.0%
34.31779883 1
1.0%
34.80941904 1
1.0%
34.93092199 1
1.0%
34.93468249 1
1.0%
34.93618947 1
1.0%
34.93783124 1
1.0%
34.96197069 1
1.0%
35.0222063 1
1.0%
ValueCountFrequency (%)
38.44927612 1
1.0%
38.24438377 1
1.0%
37.90195599 1
1.0%
37.83814181 1
1.0%
37.81249969 1
1.0%
37.76499482 1
1.0%
37.76323483 1
1.0%
37.70603412 1
1.0%
37.70251731 1
1.0%
37.69857479 1
1.0%

경도
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.60959
Minimum126.34449
Maximum129.25964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-14T22:33:54.582136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.34449
5-th percentile126.65385
Q1126.85909
median127.22427
Q3128.54431
95-th percentile129.10182
Maximum129.25964
Range2.9151487
Interquartile range (IQR)1.6852258

Descriptive statistics

Standard deviation0.90791019
Coefficient of variation (CV)0.007114749
Kurtosis-1.2059171
Mean127.60959
Median Absolute Deviation (MAD)0.51345915
Skewness0.58962567
Sum13016.178
Variance0.82430092
MonotonicityNot monotonic
2024-01-14T22:33:54.761653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.7194206 1
 
1.0%
128.9019205 1
 
1.0%
128.200363 1
 
1.0%
127.5449461 1
 
1.0%
127.854258 1
 
1.0%
128.553517 1
 
1.0%
127.7407202 1
 
1.0%
127.4374319 1
 
1.0%
127.8751793 1
 
1.0%
127.9573873 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
126.344492 1
1.0%
126.4610002 1
1.0%
126.4769921 1
1.0%
126.5783832 1
1.0%
126.6465727 1
1.0%
126.6529572 1
1.0%
126.670879 1
1.0%
126.6730351 1
1.0%
126.6746299 1
1.0%
126.6760849 1
1.0%
ValueCountFrequency (%)
129.2596407 1
1.0%
129.149228 1
1.0%
129.1141211 1
1.0%
129.1074472 1
1.0%
129.1042478 1
1.0%
129.1026735 1
1.0%
129.0855113 1
1.0%
129.0713224 1
1.0%
129.0686869 1
1.0%
129.0678248 1
1.0%

운영시작시각
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
09:00
102 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09:00
2nd row09:00
3rd row09:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 102
100.0%

Length

2024-01-14T22:33:54.925714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:33:55.028607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 102
100.0%

운영종료시각
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
18:00
97 
17:00
 
4
21:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 97
95.1%
17:00 4
 
3.9%
21:00 1
 
1.0%

Length

2024-01-14T22:33:55.154300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:33:55.275646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 97
95.1%
17:00 4
 
3.9%
21:00 1
 
1.0%

휴무일정보
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
토+일+공휴일
101 
일+공휴일
 
1

Length

Max length7
Median length7
Mean length6.9803922
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row토+일+공휴일
2nd row토+일+공휴일
3rd row토+일+공휴일
4th row토+일+공휴일
5th row토+일+공휴일

Common Values

ValueCountFrequency (%)
토+일+공휴일 101
99.0%
일+공휴일 1
 
1.0%

Length

2024-01-14T22:33:55.417276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:33:55.562944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토+일+공휴일 101
99.0%
일+공휴일 1
 
1.0%

건강증진사업내용
Text

Distinct91
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-14T22:33:55.932382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length21.284314
Min length8

Characters and Unicode

Total characters2171
Distinct characters48
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)81.4%

Sample

1st row금연+영양+신체활동+심뇌혈관+치매
2nd row금연+영양+신체활동+만성질환예방관리+치매+임산부어린이
3rd row신체활동+심뇌혈관+임산부어린이+금연+방문
4th row신체활동+비만+금연+치매+임산부어린이+만성질환예방관리+구강+영양
5th row금연+절주+신체활동+영양+비만+임산부어린이+만성질환예방관리
ValueCountFrequency (%)
만성질환예방관리+신체활동+비만+영양+금연+구강+임산부어린이 3
 
2.9%
심뇌혈관+신체활동+치매 3
 
2.9%
신체활동+만성질환예방관리 3
 
2.9%
신체활동+비만+심뇌혈관 2
 
2.0%
신체활동+영양+임산부어린이+만성질환예방관리 2
 
2.0%
금연+신체활동+영양+심뇌혈관 2
 
2.0%
금연+영양+구강+신체활동+심뇌혈관+만성질환예방관리 2
 
2.0%
심뇌혈관+신체활동+비만+치매 2
 
2.0%
만성질환예방관리+신체활동+영양 1
 
1.0%
만성질환예방관리+신체활동+영양+금연 1
 
1.0%
Other values (81) 81
79.4%
2024-01-14T22:33:56.458294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 397
18.3%
활 122
 
5.6%
관 119
 
5.5%
동 98
 
4.5%
신 97
 
4.5%
체 97
 
4.5%
만 91
 
4.2%
방 66
 
3.0%
양 65
 
3.0%
영 65
 
3.0%
Other values (38) 954
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1774
81.7%
Math Symbol 397
 
18.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
활 122
 
6.9%
관 119
 
6.7%
동 98
 
5.5%
신 97
 
5.5%
체 97
 
5.5%
만 91
 
5.1%
방 66
 
3.7%
양 65
 
3.7%
영 65
 
3.7%
리 61
 
3.4%
Other values (37) 893
50.3%
Math Symbol
ValueCountFrequency (%)
+ 397
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1774
81.7%
Common 397
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
활 122
 
6.9%
관 119
 
6.7%
동 98
 
5.5%
신 97
 
5.5%
체 97
 
5.5%
만 91
 
5.1%
방 66
 
3.7%
양 65
 
3.7%
영 65
 
3.7%
리 61
 
3.4%
Other values (37) 893
50.3%
Common
ValueCountFrequency (%)
+ 397
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1774
81.7%
ASCII 397
 
18.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 397
100.0%
Hangul
ValueCountFrequency (%)
활 122
 
6.9%
관 119
 
6.7%
동 98
 
5.5%
신 97
 
5.5%
체 97
 
5.5%
만 91
 
5.1%
방 66
 
3.7%
양 65
 
3.7%
영 65
 
3.7%
리 61
 
3.4%
Other values (37) 893
50.3%

기타이용안내
Text

MISSING 

Distinct61
Distinct (%)87.1%
Missing32
Missing (%)31.4%
Memory size948.0 B
2024-01-14T22:33:56.789401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length14.085714
Min length6

Characters and Unicode

Total characters986
Distinct characters158
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)81.4%

Sample

1st row보건교육실 운영
2nd row건강증진실 운영
3rd row활력120세 방 운영
4th row옥상텃밭+아동돌봄놀이교실+출산육아용품
5th row어린이건강체험관 운영+심폐소생술 상설
ValueCountFrequency (%)
운영 32
 
21.5%
건강체험관 9
 
6.0%
마을건강센터 8
 
5.4%
어린이건강체험관 7
 
4.7%
및 3
 
2.0%
건강증진실 2
 
1.3%
건강원스톱 2
 
1.3%
대사증후군 2
 
1.3%
예약제 2
 
1.3%
관리 2
 
1.3%
Other values (77) 80
53.7%
2024-01-14T22:33:57.290808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
8.0%
건 68
 
6.9%
강 62
 
6.3%
운 52
 
5.3%
영 45
 
4.6%
+ 41
 
4.2%
실 29
 
2.9%
체 28
 
2.8%
관 26
 
2.6%
동 25
 
2.5%
Other values (148) 531
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 848
86.0%
Space Separator 79
 
8.0%
Math Symbol 41
 
4.2%
Decimal Number 13
 
1.3%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 68
 
8.0%
강 62
 
7.3%
운 52
 
6.1%
영 45
 
5.3%
실 29
 
3.4%
체 28
 
3.3%
관 26
 
3.1%
동 25
 
2.9%
험 23
 
2.7%
사 22
 
2.6%
Other values (138) 468
55.2%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
2 4
30.8%
3 2
 
15.4%
0 1
 
7.7%
4 1
 
7.7%
Space Separator
ValueCountFrequency (%)
79
100.0%
Math Symbol
ValueCountFrequency (%)
+ 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 848
86.0%
Common 138
 
14.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 68
 
8.0%
강 62
 
7.3%
운 52
 
6.1%
영 45
 
5.3%
실 29
 
3.4%
체 28
 
3.3%
관 26
 
3.1%
동 25
 
2.9%
험 23
 
2.7%
사 22
 
2.6%
Other values (138) 468
55.2%
Common
ValueCountFrequency (%)
79
57.2%
+ 41
29.7%
1 5
 
3.6%
2 4
 
2.9%
( 2
 
1.4%
) 2
 
1.4%
3 2
 
1.4%
, 1
 
0.7%
0 1
 
0.7%
4 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 848
86.0%
ASCII 138
 
14.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
57.2%
+ 41
29.7%
1 5
 
3.6%
2 4
 
2.9%
( 2
 
1.4%
) 2
 
1.4%
3 2
 
1.4%
, 1
 
0.7%
0 1
 
0.7%
4 1
 
0.7%
Hangul
ValueCountFrequency (%)
건 68
 
8.0%
강 62
 
7.3%
운 52
 
6.1%
영 45
 
5.3%
실 29
 
3.4%
체 28
 
3.3%
관 26
 
3.1%
동 25
 
2.9%
험 23
 
2.7%
사 22
 
2.6%
Other values (138) 468
55.2%

의사수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
0
95 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 95
93.1%
1 7
 
6.9%

Length

2024-01-14T22:33:57.441189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:33:57.556837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 95
93.1%
1 7
 
6.9%

간호사수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8235294
Minimum0
Maximum15
Zeros3
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-14T22:33:57.661554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33.75
95-th percentile6
Maximum15
Range15
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.0168192
Coefficient of variation (CV)0.71429013
Kurtosis12.680774
Mean2.8235294
Median Absolute Deviation (MAD)1
Skewness2.6689981
Sum288
Variance4.0675597
MonotonicityNot monotonic
2024-01-14T22:33:57.799241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 35
34.3%
3 20
19.6%
1 18
17.6%
4 11
 
10.8%
5 7
 
6.9%
6 5
 
4.9%
0 3
 
2.9%
9 1
 
1.0%
7 1
 
1.0%
15 1
 
1.0%
ValueCountFrequency (%)
0 3
 
2.9%
1 18
17.6%
2 35
34.3%
3 20
19.6%
4 11
 
10.8%
5 7
 
6.9%
6 5
 
4.9%
7 1
 
1.0%
9 1
 
1.0%
15 1
 
1.0%
ValueCountFrequency (%)
15 1
 
1.0%
9 1
 
1.0%
7 1
 
1.0%
6 5
 
4.9%
5 7
 
6.9%
4 11
 
10.8%
3 20
19.6%
2 35
34.3%
1 18
17.6%
0 3
 
2.9%

영양사수
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
1.0
55 
0.0
34 
2.0
12 
0.5
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 55
53.9%
0.0 34
33.3%
2.0 12
 
11.8%
0.5 1
 
1.0%

Length

2024-01-14T22:33:58.006275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:33:58.167850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 55
53.9%
0.0 34
33.3%
2.0 12
 
11.8%
0.5 1
 
1.0%

신체활동전문인력수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
1.0
74 
0.0
21 
2.0
 
5
5.0
 
1
0.5
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 74
72.5%
0.0 21
 
20.6%
2.0 5
 
4.9%
5.0 1
 
1.0%
0.5 1
 
1.0%

Length

2024-01-14T22:33:58.532020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:33:58.700156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 74
72.5%
0.0 21
 
20.6%
2.0 5
 
4.9%
5.0 1
 
1.0%
0.5 1
 
1.0%

물리/작업치료사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58823529
Minimum0
Maximum5
Zeros66
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-14T22:33:58.847407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0374468
Coefficient of variation (CV)1.7636596
Kurtosis5.210442
Mean0.58823529
Median Absolute Deviation (MAD)0
Skewness2.2557251
Sum60
Variance1.0762959
MonotonicityNot monotonic
2024-01-14T22:33:59.015871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 66
64.7%
1 24
 
23.5%
2 5
 
4.9%
3 3
 
2.9%
4 3
 
2.9%
5 1
 
1.0%
ValueCountFrequency (%)
0 66
64.7%
1 24
 
23.5%
2 5
 
4.9%
3 3
 
2.9%
4 3
 
2.9%
5 1
 
1.0%
ValueCountFrequency (%)
5 1
 
1.0%
4 3
 
2.9%
3 3
 
2.9%
2 5
 
4.9%
1 24
 
23.5%
0 66
64.7%

사회복지사수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
0
100 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
98.0%
1 2
 
2.0%

Length

2024-01-14T22:33:59.191789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:33:59.318781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
98.0%
1 2
 
2.0%

간호조무사수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
0
92 
1
 
6
3
 
2
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 92
90.2%
1 6
 
5.9%
3 2
 
2.0%
2 2
 
2.0%

Length

2024-01-14T22:33:59.442667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:33:59.567878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 92
90.2%
1 6
 
5.9%
3 2
 
2.0%
2 2
 
2.0%

기타인력현황
Categorical

Distinct35
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size948.0 B
0
25 
행정인력(1)
17 
행정인력(2)
11 
마을활동가(1)
9 
행정인력(3)
4 
Other values (30)
36 

Length

Max length20
Median length17
Mean length7.3137255
Min length1

Unique

Unique25 ?
Unique (%)24.5%

Sample

1st row행정인력(1)
2nd row행정인력(2)
3rd row0
4th row청사관리인력(1)
5th row보건직(1)

Common Values

ValueCountFrequency (%)
0 25
24.5%
행정인력(1) 17
16.7%
행정인력(2) 11
10.8%
마을활동가(1) 9
 
8.8%
행정인력(3) 4
 
3.9%
치과위생사(1) 3
 
2.9%
금연상담사(1) 2
 
2.0%
치과위생사(2) 2
 
2.0%
보건직(1) 2
 
2.0%
청사관리인력(1) 2
 
2.0%
Other values (25) 25
24.5%

Length

2024-01-14T22:33:59.711368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 25
24.5%
행정인력(1 17
16.7%
행정인력(2 11
10.8%
마을활동가(1 9
 
8.8%
행정인력(3 4
 
3.9%
치과위생사(1 3
 
2.9%
금연상담사(1 2
 
2.0%
치과위생사(2 2
 
2.0%
보건직(1 2
 
2.0%
청사관리인력(1 2
 
2.0%
Other values (25) 25
24.5%

건강검진장비현황
Text

Distinct58
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-14T22:34:00.012936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length16.578431
Min length2

Characters and Unicode

Total characters1691
Distinct characters61
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)48.0%

Sample

1st row인바디+혈압계+자동혈압계+당화혈색소측
2nd row혈압+혈당+빈혈+고지혈증+당화혈색소+
3rd row인바디+혈압계+피하지방측정기
4th row인바디+혈압계+혈당측정기+고지혈증측정
5th row혈당측정기+고지혈증측정기+당화혈색소측
ValueCountFrequency (%)
인바디+혈압계 20
 
19.2%
인바디+혈압계+혈당측정기+당화혈색소측 11
 
10.6%
인바디+혈압계+혈당측정기+콜레스테롤측 7
 
6.7%
인바디+혈압계+혈당측정기+고지혈증측정 4
 
3.8%
인바디+혈압계+혈당측정기 3
 
2.9%
인바디+혈압계+콜레스테롤측정기+혈당측 2
 
1.9%
체성분분석기+혈압계+혈당측정기+콜레스 2
 
1.9%
인바디+혈압계+당화혈색소측정기 2
 
1.9%
인바디+혈압계+당화혈색소측정기+대사증 2
 
1.9%
인바디+혈압계+총콜레스테롤측정기+당화 1
 
1.0%
Other values (50) 50
48.1%
2024-01-14T22:34:00.542133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 250
14.8%
혈 201
11.9%
측 115
 
6.8%
계 108
 
6.4%
압 97
 
5.7%
기 95
 
5.6%
정 92
 
5.4%
당 88
 
5.2%
인 77
 
4.6%
바 77
 
4.6%
Other values (51) 491
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1432
84.7%
Math Symbol 250
 
14.8%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Space Separator 2
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
혈 201
14.0%
측 115
 
8.0%
계 108
 
7.5%
압 97
 
6.8%
기 95
 
6.6%
정 92
 
6.4%
당 88
 
6.1%
인 77
 
5.4%
바 77
 
5.4%
디 77
 
5.4%
Other values (46) 405
28.3%
Math Symbol
ValueCountFrequency (%)
+ 250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1432
84.7%
Common 259
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
혈 201
14.0%
측 115
 
8.0%
계 108
 
7.5%
압 97
 
6.8%
기 95
 
6.6%
정 92
 
6.4%
당 88
 
6.1%
인 77
 
5.4%
바 77
 
5.4%
디 77
 
5.4%
Other values (46) 405
28.3%
Common
ValueCountFrequency (%)
+ 250
96.5%
) 3
 
1.2%
( 3
 
1.2%
2
 
0.8%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1432
84.7%
ASCII 259
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 250
96.5%
) 3
 
1.2%
( 3
 
1.2%
2
 
0.8%
2 1
 
0.4%
Hangul
ValueCountFrequency (%)
혈 201
14.0%
측 115
 
8.0%
계 108
 
7.5%
압 97
 
6.8%
기 95
 
6.6%
정 92
 
6.4%
당 88
 
6.1%
인 77
 
5.4%
바 77
 
5.4%
디 77
 
5.4%
Other values (46) 405
28.3%

체력측정장비현황
Text

Distinct65
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-14T22:34:00.782344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length12.843137
Min length2

Characters and Unicode

Total characters1310
Distinct characters111
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)53.9%

Sample

1st row악력계+윗몸일으키기+종합기능체력측정기
2nd row인바디
3rd row체전굴측정기+근력측정기+악력측정기+윗
4th row종합체력기능측정기+배근력측정기+악력측
5th row악력측정기+윗몸일으키기측정기+에어로바
ValueCountFrequency (%)
없음 20
 
17.5%
악력측정기+자전거에르고미터 5
 
4.4%
종합체력기능측정기 4
 
3.5%
체력측정및운동가이드시스템 4
 
3.5%
체성분분석기 3
 
2.6%
및 3
 
2.6%
악력측정기+자전거에르고미터+윗몸일으키 3
 
2.6%
악력측정기+자전거 2
 
1.8%
자동신장/체중계(성인 2
 
1.8%
종합체력측정장비 2
 
1.8%
Other values (64) 66
57.9%
2024-01-14T22:34:01.219874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 111
 
8.5%
측 97
 
7.4%
+ 96
 
7.3%
력 95
 
7.3%
정 93
 
7.1%
악 47
 
3.6%
체 45
 
3.4%
자 34
 
2.6%
에 26
 
2.0%
전 25
 
1.9%
Other values (101) 641
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1183
90.3%
Math Symbol 98
 
7.5%
Space Separator 13
 
1.0%
Open Punctuation 6
 
0.5%
Close Punctuation 5
 
0.4%
Other Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 111
 
9.4%
측 97
 
8.2%
력 95
 
8.0%
정 93
 
7.9%
악 47
 
4.0%
체 45
 
3.8%
자 34
 
2.9%
에 26
 
2.2%
전 25
 
2.1%
거 24
 
2.0%
Other values (92) 586
49.5%
Math Symbol
ValueCountFrequency (%)
+ 96
98.0%
＋ 2
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1183
90.3%
Common 125
 
9.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 111
 
9.4%
측 97
 
8.2%
력 95
 
8.0%
정 93
 
7.9%
악 47
 
4.0%
체 45
 
3.8%
자 34
 
2.9%
에 26
 
2.2%
전 25
 
2.1%
거 24
 
2.0%
Other values (92) 586
49.5%
Common
ValueCountFrequency (%)
+ 96
76.8%
13
 
10.4%
( 6
 
4.8%
) 5
 
4.0%
＋ 2
 
1.6%
/ 2
 
1.6%
6 1
 
0.8%
Latin
ValueCountFrequency (%)
P 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1182
90.2%
ASCII 125
 
9.5%
None 2
 
0.2%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 111
 
9.4%
측 97
 
8.2%
력 95
 
8.0%
정 93
 
7.9%
악 47
 
4.0%
체 45
 
3.8%
자 34
 
2.9%
에 26
 
2.2%
전 25
 
2.1%
거 24
 
2.0%
Other values (91) 585
49.5%
ASCII
ValueCountFrequency (%)
+ 96
76.8%
13
 
10.4%
( 6
 
4.8%
) 5
 
4.0%
/ 2
 
1.6%
6 1
 
0.8%
P 1
 
0.8%
T 1
 
0.8%
None
ValueCountFrequency (%)
＋ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

운동장비현황
Text

Distinct71
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-14T22:34:01.569941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length14.186275
Min length2

Characters and Unicode

Total characters1447
Distinct characters149
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)64.7%

Sample

1st row공압식운동기기(6)+러닝머신+좌식사이
2nd row러닝머신+입식싸이클
3rd row러닝머신+하체근력강화 자전거+레그프레
4th row러닝머신+싸이클+스텝퍼+일립티컬 머신
5th row러닝머신+레그컬머신+레그프레스머신+에
ValueCountFrequency (%)
없음 19
 
16.2%
러닝머신+순환식유압운동기 9
 
7.7%
순환식유압운동기 4
 
3.4%
러닝머신 2
 
1.7%
러닝머신+버터플라이머신+체스트플라이머 2
 
1.7%
유압식 2
 
1.7%
러닝머신+버터플라이 2
 
1.7%
스태퍼+좌식싸이클 1
 
0.9%
머신+체스트 1
 
0.9%
러닝머신+좌식자전거+코어운동기구5종 1
 
0.9%
Other values (74) 74
63.2%
2024-01-14T22:34:02.009253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 156
 
10.8%
머 75
 
5.2%
신 73
 
5.0%
닝 53
 
3.7%
러 52
 
3.6%
식 51
 
3.5%
스 47
 
3.2%
동 43
 
3.0%
레 43
 
3.0%
운 42
 
2.9%
Other values (139) 812
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1248
86.2%
Math Symbol 156
 
10.8%
Space Separator 15
 
1.0%
Open Punctuation 10
 
0.7%
Decimal Number 9
 
0.6%
Close Punctuation 5
 
0.3%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
머 75
 
6.0%
신 73
 
5.8%
닝 53
 
4.2%
러 52
 
4.2%
식 51
 
4.1%
스 47
 
3.8%
동 43
 
3.4%
레 43
 
3.4%
운 42
 
3.4%
기 40
 
3.2%
Other values (129) 729
58.4%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
6 3
33.3%
5 1
 
11.1%
1 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
/ 2
50.0%
Math Symbol
ValueCountFrequency (%)
+ 156
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1248
86.2%
Common 199
 
13.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
머 75
 
6.0%
신 73
 
5.8%
닝 53
 
4.2%
러 52
 
4.2%
식 51
 
4.1%
스 47
 
3.8%
동 43
 
3.4%
레 43
 
3.4%
운 42
 
3.4%
기 40
 
3.2%
Other values (129) 729
58.4%
Common
ValueCountFrequency (%)
+ 156
78.4%
15
 
7.5%
( 10
 
5.0%
) 5
 
2.5%
2 4
 
2.0%
6 3
 
1.5%
& 2
 
1.0%
/ 2
 
1.0%
5 1
 
0.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1248
86.2%
ASCII 199
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 156
78.4%
15
 
7.5%
( 10
 
5.0%
) 5
 
2.5%
2 4
 
2.0%
6 3
 
1.5%
& 2
 
1.0%
/ 2
 
1.0%
5 1
 
0.5%
1 1
 
0.5%
Hangul
ValueCountFrequency (%)
머 75
 
6.0%
신 73
 
5.8%
닝 53
 
4.2%
러 52
 
4.2%
식 51
 
4.1%
스 47
 
3.8%
동 43
 
3.4%
레 43
 
3.4%
운 42
 
3.4%
기 40
 
3.2%
Other values (129) 729
58.4%

금연사업장비현황
Categorical

Distinct41
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
없음
38 
일산화탄소(CO)측정기+흡연자 구강모
12 
일산화탄소(CO)측정기
8 
일산화탄소(CO)측정기+흡연자 폐모형
 
3
일산화탄소(CO)측정기+폐비교모형+흡
 
3
Other values (36)
38 

Length

Max length20
Median length19
Mean length11.372549
Min length2

Unique

Unique34 ?
Unique (%)33.3%

Sample

1st row일산화탄소(CO)측정기+흡연자 폐모형
2nd row일산화탄소(CO)측정기+폐비교모형+흡
3rd row일산화탄소(CO)측정기+흡연자 구강모
4th row일산화탄소(CO)측정기+흡연실험모형+
5th row일산화탄소(CO)측정기+흡연자 구강모

Common Values

ValueCountFrequency (%)
없음 38
37.3%
일산화탄소(CO)측정기+흡연자 구강모 12
 
11.8%
일산화탄소(CO)측정기 8
 
7.8%
일산화탄소(CO)측정기+흡연자 폐모형 3
 
2.9%
일산화탄소(CO)측정기+폐비교모형+흡 3
 
2.9%
일산화탄소(CO)측정기+폐활량측정기+ 2
 
2.0%
일산화탄소측정기+폐활량측정기 2
 
2.0%
흡연자구강모형 1
 
1.0%
일산화탄소(CO)측정기+흡연실험모형+ 1
 
1.0%
일산화탄소(CO)측정기+금연교육용 폐 1
 
1.0%
Other values (31) 31
30.4%

Length

2024-01-14T22:34:02.184635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 38
27.7%
일산화탄소(co)측정기+흡연자 17
 
12.4%
구강모 12
 
8.8%
일산화탄소(co)측정기 8
 
5.8%
폐모형 5
 
3.6%
일산화탄소(co)측정기+폐비교모형+흡 3
 
2.2%
일산화탄소(co)측정기+폐활량측정기 3
 
2.2%
폐 3
 
2.2%
일산화탄소측정기+폐활량측정기 2
 
1.5%
흡연자 2
 
1.5%
Other values (41) 44
32.1%

영양사업장비현황
Categorical

Distinct46
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
없음
24 
염도계+식단/식품모형+영양프로그램
12 
식단/식품모형
9 
염도계+식단/식품모형
7 
염도계
 
4
Other values (41)
46 

Length

Max length20
Median length18
Mean length11.352941
Min length2

Unique

Unique38 ?
Unique (%)37.3%

Sample

1st row염도계+소화기 모형+식품자전거모형+식
2nd row염도계+당도계+식단/식품모형+홀쭉이ㆍ
3rd row염도측정기+영양식단계획요령 지도자료+
4th row식단/식품모형
5th row식단/식품모형

Common Values

ValueCountFrequency (%)
없음 24
23.5%
염도계+식단/식품모형+영양프로그램 12
 
11.8%
식단/식품모형 9
 
8.8%
염도계+식단/식품모형 7
 
6.9%
염도계 4
 
3.9%
식품모형 4
 
3.9%
식단/식품모형+영양프로그램 2
 
2.0%
식단모형+염분량입체모형+식품구성자석보 2
 
2.0%
염도계+식단/식품모형+소금설탕모형(입 1
 
1.0%
염도측정기+영양식단계획요령 지도자료+ 1
 
1.0%
Other values (36) 36
35.3%

Length

2024-01-14T22:34:02.363977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 24
20.7%
염도계+식단/식품모형+영양프로그램 12
 
10.3%
식단/식품모형 9
 
7.8%
염도계+식단/식품모형 7
 
6.0%
염도계 4
 
3.4%
식품모형 4
 
3.4%
식단/식품모형+영양프로그램 2
 
1.7%
식단모형+염분량입체모형+식품구성자석보 2
 
1.7%
조리실습용 2
 
1.7%
모형 1
 
0.9%
Other values (49) 49
42.2%

절주사업장비현황
Categorical

Distinct25
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size948.0 B
없음
61 
어린이 음주예방모형+음주체험고글
10 
음주체험고글
8 
어린이음주예방모형+음주체험고글
 
2
어린이 음주예방모형(절주패널)+음주체
 
1
Other values (20)
20 

Length

Max length20
Median length2
Mean length6.4019608
Min length2

Unique

Unique21 ?
Unique (%)20.6%

Sample

1st row간비교 모형+음주체험고글
2nd row간비교모형+가상음주체험키트+절주모형
3rd row가상음주체험세트
4th row음주운전모형+가상음주체험고글
5th row없음

Common Values

ValueCountFrequency (%)
없음 61
59.8%
어린이 음주예방모형+음주체험고글 10
 
9.8%
음주체험고글 8
 
7.8%
어린이음주예방모형+음주체험고글 2
 
2.0%
어린이 음주예방모형(절주패널)+음주체 1
 
1.0%
가상음주체험세트 1
 
1.0%
음주운전모형+가상음주체험고글 1
 
1.0%
가상음주체험고글 1
 
1.0%
간비교모형+가상음주체험고글 1
 
1.0%
음주고글 1
 
1.0%
Other values (15) 15
 
14.7%

Length

2024-01-14T22:34:02.548812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 61
50.8%
어린이 12
 
10.0%
음주예방모형+음주체험고글 11
 
9.2%
음주체험고글 8
 
6.7%
음주 2
 
1.7%
어린이음주예방모형+음주체험고글 2
 
1.7%
음주예방모형(절주패널)+음주체 1
 
0.8%
어린이음주예방모형 1
 
0.8%
모형+음주체험고글 1
 
0.8%
간비교 1
 
0.8%
Other values (20) 20
 
16.7%

재활사업장비현황
Categorical

Distinct35
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size948.0 B
없음
67 
러닝머신+자전거운동기+등속성운동기+공
 
2
휠체어체중계
 
1
상하지연동자전거+에르고미터 상하지자전
 
1
상하지운동기
 
1
Other values (30)
30 

Length

Max length20
Median length2
Mean length7.0686275
Min length2

Unique

Unique33 ?
Unique (%)32.4%

Sample

1st row없음
2nd row없음
3rd row없음
4th row정형용 운동장치+치료용 계단/사다리+
5th row휠체어체중계

Common Values

ValueCountFrequency (%)
없음 67
65.7%
러닝머신+자전거운동기+등속성운동기+공 2
 
2.0%
휠체어체중계 1
 
1.0%
상하지연동자전거+에르고미터 상하지자전 1
 
1.0%
상하지운동기 1
 
1.0%
좌식자전거+쇼울더링크+체스트링크+바우 1
 
1.0%
보바스테이블+기립훈련기+FES+전동작 1
 
1.0%
휠체어+목발 1
 
1.0%
어깨회전운동기 1
 
1.0%
재활운동장비+재활치료용 좌식바이크 1
 
1.0%
Other values (25) 25
 
24.5%

Length

2024-01-14T22:34:02.692331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 67
56.3%
재활운동용 2
 
1.7%
러닝머신+자전거운동기+등속성운동기+공 2
 
1.7%
순환운동장비+슬링+보행훈련장비+기립훈 1
 
0.8%
암에르고미터 1
 
0.8%
보바스 1
 
0.8%
테이블+코끼리 1
 
0.8%
자전거+전동상하 1
 
0.8%
계단훈련기+스트레치용발판ㆍ접이식워커 1
 
0.8%
평행봉+러닝머신 1
 
0.8%
Other values (41) 41
34.5%

기타보건교육장비현황
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
O
67 
X
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowO
2nd rowO
3rd rowX
4th rowO
5th rowO

Common Values

ValueCountFrequency (%)
O 67
65.7%
X 35
34.3%

Length

2024-01-14T22:34:02.838378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:34:02.938740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 67
65.7%
x 35
34.3%

감염병예방장비현황
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
X
83 
O
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowO
3rd rowO
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X 83
81.4%
O 19
 
18.6%

Length

2024-01-14T22:34:03.078518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:34:03.172894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 83
81.4%
o 19
 
18.6%

운영기관전화번호
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-14T22:34:03.431216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.04902
Min length12

Characters and Unicode

Total characters1229
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)100.0%

Sample

1st row061-797-4075
2nd row061-797-4894
3rd row061-339-4751
4th row061-450-5001
5th row061-749-3640
ValueCountFrequency (%)
061-797-4075 1
 
1.0%
031-8024-8626 1
 
1.0%
033-430-4131 1
 
1.0%
033-336-6128 1
 
1.0%
033-245-5561 1
 
1.0%
033-450-5654 1
 
1.0%
033-737-3723 1
 
1.0%
033-737-5205 1
 
1.0%
033-530-2423 1
 
1.0%
033-680-3545 1
 
1.0%
Other values (92) 92
90.2%
2024-01-14T22:34:04.062112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 204
16.6%
- 204
16.6%
3 123
10.0%
5 120
9.8%
1 119
9.7%
6 104
8.5%
2 95
7.7%
4 81
 
6.6%
8 70
 
5.7%
7 62
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1025
83.4%
Dash Punctuation 204
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 204
19.9%
3 123
12.0%
5 120
11.7%
1 119
11.6%
6 104
10.1%
2 95
9.3%
4 81
 
7.9%
8 70
 
6.8%
7 62
 
6.0%
9 47
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 204
16.6%
- 204
16.6%
3 123
10.0%
5 120
9.8%
1 119
9.7%
6 104
8.5%
2 95
7.7%
4 81
 
6.6%
8 70
 
5.7%
7 62
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 204
16.6%
- 204
16.6%
3 123
10.0%
5 120
9.8%
1 119
9.7%
6 104
8.5%
2 95
7.7%
4 81
 
6.6%
8 70
 
5.7%
7 62
 
5.0%

관리기관명
Text

Distinct76
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-01-14T22:34:04.475890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length11.990196
Min length10

Characters and Unicode

Total characters1223
Distinct characters84
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)55.9%

Sample

1st row전라남도 광양시보건소
2nd row전라남도 광양시보건소
3rd row전라남도 나주시보건소
4th row전라남도 무안군보건소
5th row전라남도 순천시보건소
ValueCountFrequency (%)
경기도 19
 
8.8%
부산광역시 14
 
6.5%
인천광역시 10
 
4.6%
강원특별자치도 10
 
4.6%
광주광역시 8
 
3.7%
서구보건소 8
 
3.7%
충청남도 8
 
3.7%
전라남도 7
 
3.2%
경상남도 7
 
3.2%
남구보건소 6
 
2.8%
Other values (82) 119
55.1%
2024-01-14T22:34:05.032761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
9.3%
보 102
 
8.3%
건 102
 
8.3%
소 98
 
8.0%
시 88
 
7.2%
도 66
 
5.4%
광 50
 
4.1%
구 44
 
3.6%
남 40
 
3.3%
역 36
 
2.9%
Other values (74) 483
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1109
90.7%
Space Separator 114
 
9.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 102
 
9.2%
건 102
 
9.2%
소 98
 
8.8%
시 88
 
7.9%
도 66
 
6.0%
광 50
 
4.5%
구 44
 
4.0%
남 40
 
3.6%
역 36
 
3.2%
주 31
 
2.8%
Other values (73) 452
40.8%
Space Separator
ValueCountFrequency (%)
114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1109
90.7%
Common 114
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 102
 
9.2%
건 102
 
9.2%
소 98
 
8.8%
시 88
 
7.9%
도 66
 
6.0%
광 50
 
4.5%
구 44
 
4.0%
남 40
 
3.6%
역 36
 
3.2%
주 31
 
2.8%
Other values (73) 452
40.8%
Common
ValueCountFrequency (%)
114
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1109
90.7%
ASCII 114
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
100.0%
Hangul
ValueCountFrequency (%)
보 102
 
9.2%
건 102
 
9.2%
소 98
 
8.8%
시 88
 
7.9%
도 66
 
6.0%
광 50
 
4.5%
구 44
 
4.0%
남 40
 
3.6%
역 36
 
3.2%
주 31
 
2.8%
Other values (73) 452
40.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-20
102 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-20
2nd row2023-12-20
3rd row2023-12-20
4th row2023-12-20
5th row2023-12-20

Common Values

ValueCountFrequency (%)
2023-12-20 102
100.0%

Length

2024-01-14T22:34:05.204954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:34:05.325631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-20 102
100.0%

제공기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
B553430
102 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB553430
2nd rowB553430
3rd rowB553430
4th rowB553430
5th rowB553430

Common Values

ValueCountFrequency (%)
B553430 102
100.0%

Length

2024-01-14T22:34:05.440337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:34:05.545848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b553430 102
100.0%

제공기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
한국건강증진개발원
102 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국건강증진개발원 102
100.0%

Length

2024-01-14T22:34:05.703887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:34:05.838655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국건강증진개발원 102
100.0%

Sample

건강생활지원센터명건강생활지원센터 유형소재지도로명주소위도경도운영시작시각운영종료시각휴무일정보건강증진사업내용기타이용안내의사수간호사수영양사수신체활동전문인력수물리/작업치료사수사회복지사수간호조무사수기타인력현황건강검진장비현황체력측정장비현황운동장비현황금연사업장비현황영양사업장비현황절주사업장비현황재활사업장비현황기타보건교육장비현황감염병예방장비현황운영기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
0광영건강생활지원센터기본형전라남도 광양시 금영로 12734.961971127.71942109:0018:00토+일+공휴일금연+영양+신체활동+심뇌혈관+치매<NA>021.01.0000행정인력(1)인바디+혈압계+자동혈압계+당화혈색소측악력계+윗몸일으키기+종합기능체력측정기공압식운동기기(6)+러닝머신+좌식사이일산화탄소(CO)측정기+흡연자 폐모형염도계+소화기 모형+식품자전거모형+식간비교 모형+음주체험고글없음OX061-797-4075전라남도 광양시보건소2023-12-20B553430한국건강증진개발원
1골약건강생활지원센터기본형전라남도 광양시 성황3길 19 (성황동)34.937831127.67757109:0018:00토+일+공휴일금연+영양+신체활동+만성질환예방관리+치매+임산부어린이보건교육실 운영021.01.0000행정인력(2)혈압+혈당+빈혈+고지혈증+당화혈색소+인바디러닝머신+입식싸이클일산화탄소(CO)측정기+폐비교모형+흡염도계+당도계+식단/식품모형+홀쭉이ㆍ간비교모형+가상음주체험키트+절주모형없음OO061-797-4894전라남도 광양시보건소2023-12-20B553430한국건강증진개발원
2빛가람건강생활지원센터기본형전라남도 나주시 빛가람로 72135.022206126.79064209:0018:00토+일+공휴일신체활동+심뇌혈관+임산부어린이+금연+방문건강증진실 운영040.00.01000인바디+혈압계+피하지방측정기체전굴측정기+근력측정기+악력측정기+윗러닝머신+하체근력강화 자전거+레그프레일산화탄소(CO)측정기+흡연자 구강모염도측정기+영양식단계획요령 지도자료+가상음주체험세트없음XO061-339-4751전라남도 나주시보건소2023-12-20B553430한국건강증진개발원
3남악건강생활지원센터기본형전라남도 무안군 삼향읍 남악3로 4034.809419126.46109:0018:00토+일+공휴일신체활동+비만+금연+치매+임산부어린이+만성질환예방관리+구강+영양활력120세 방 운영030.01.0000청사관리인력(1)인바디+혈압계+혈당측정기+고지혈증측정종합체력기능측정기+배근력측정기+악력측러닝머신+싸이클+스텝퍼+일립티컬 머신일산화탄소(CO)측정기+흡연실험모형+식단/식품모형음주운전모형+가상음주체험고글정형용 운동장치+치료용 계단/사다리+OX061-450-5001전라남도 무안군보건소2023-12-20B553430한국건강증진개발원
4신대건강생활지원센터기본형전라남도 순천시 해룡면 신대로 14234.936189127.55008709:0018:00토+일+공휴일금연+절주+신체활동+영양+비만+임산부어린이+만성질환예방관리옥상텃밭+아동돌봄놀이교실+출산육아용품051.01.0000보건직(1)혈당측정기+고지혈증측정기+당화혈색소측악력측정기+윗몸일으키기측정기+에어로바러닝머신+레그컬머신+레그프레스머신+에일산화탄소(CO)측정기+흡연자 구강모식단/식품모형없음휠체어체중계OX061-749-3640전라남도 순천시보건소2023-12-20B553430한국건강증진개발원
5연향건강생활지원센터기본형전라남도 순천시 팔마3길 14-734.934682127.51637809:0018:00토+일+공휴일금연+절주+신체활동+영양+비만+심뇌혈관어린이건강체험관 운영+심폐소생술 상설041.01.0000행정인력(1)혈당+콜레스테롤+당화혈색소+신장계+혈악력측정기+유연성검사+근지구력검사+배러닝머신+순환식유압운동기일산화탄소(CO)측정기+흡연자 구강모염도계+식단/식품모형+영양프로그램어린이 음주예방모형+음주체험고글없음OX061-749-4260전라남도 순천시보건소2023-12-20B553430한국건강증진개발원
6완도군건강생활지원센터기본형전라남도 완도군 완도읍 청해진동로7034.317799126.73558809:0018:00토+일+공휴일신체활동+영양+심뇌혈관+만성질환예방관리<NA>012.01.0001청사관리인력(1)인바디+전자혈압계+자동신장측정계 등악력측정기+유연성측정기+심폐지구력측정러닝머신+스쿼트랙+전동거꾸리+토탈힙머없음염도계+식단/식품모형없음없음XX061-550-6714전라남도 완도군보건의료원2023-12-20B553430한국건강증진개발원
7구미건강생활지원센터기본형경상북도 구미시 박정희로 45-736.082716128.35117409:0018:00토+일+공휴일금연+신체활동+영양+심뇌혈관+비만관리<NA>021.00.0101행정인력(3)인바디+혈압계악력측정기+유연성측정기+복부근력측정기없음일산화탄소(CO)측정기+폐활량측정기+염도계+식단/식품모형없음없음OX054-480-2930경상북도 구미시 구미보건소2023-12-20B553430한국건강증진개발원
8금정구건강생활지원센터기본형부산광역시 금정구 서동로 175번길 41-535.215448129.10744709:0018:00토+일+공휴일금연+절주+신체활동+영양+만성질환예방관리+재활서3동 마을건강센터 운영020.01.0100마을활동가(1)인바디+혈압계악력측정기+유연성측정기러닝머신+입식바이크+좌식바이크+벨트마일산화탄소(CO)측정기+금연교육용 폐식단/식품모형없음상하지연동자전거+에르고미터 상하지자전XX051-519-5481부산광역시 금정구보건소2023-12-20B553430한국건강증진개발원
9장전2동 건강생활지원센터동단위형부산광역시 금정구 금정로 29-6, 5층35.227474129.08551109:0017:00토+일+공휴일금연+절주+신체활동+영양+만성질환예방관리+비만장전2동 마을건강센터 운영011.01.0000마을활동가(1)인바디+혈압계체성분분석기+자동혈압계쇼울드링크+체스트링크+바우어링크+레그없음없음없음없음XX051-519-5801부산광역시 금정구보건소2023-12-20B553430한국건강증진개발원
건강생활지원센터명건강생활지원센터 유형소재지도로명주소위도경도운영시작시각운영종료시각휴무일정보건강증진사업내용기타이용안내의사수간호사수영양사수신체활동전문인력수물리/작업치료사수사회복지사수간호조무사수기타인력현황건강검진장비현황체력측정장비현황운동장비현황금연사업장비현황영양사업장비현황절주사업장비현황재활사업장비현황기타보건교육장비현황감염병예방장비현황운영기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
92봉산면건강생활지원센터기본형경상북도 김천시 봉산면 예지송정길 936.141444128.05983609:0018:00토+일+공휴일심뇌혈관+치매+신체활동어린이보건교육+건강증진실운영실+기억쉼020.01.0100행정인력(2)체성분분석기+혈압계+혈당측정기+신장계악력측정기+실내자전거+러닝머신+윗몸일멀티랙+라잉레그컬+레그익스텐션+풀다운일산화탄소(CO)측정기+흡연자 폐모형염도계+식단/식품모형+영양프로그램어린이 음주예방모형+가상음주체험고글전동거꾸리+허리마사지기+진동마사지기OO054-421-2871경상북도 김천시 보건소2023-12-20B553430한국건강증진개발원
93동부건강생활지원센터(김해시)기본형경상남도 김해시 분성로727번길 8-3335.230025128.92244509:0018:00토+일+공휴일재활+만성질환예방관리+금연+절주+영양+신체활동치매안심센터 동시 운영021.01.01000인바디+혈압계악력측정기+앉아서윗몸앞으로굽히기측정기없음일산화탄소(CO)측정기+폐모형식단모형+염분량입체모형+식품구성자석보음주체험고글러닝머신+모토메드XX055-320-5951경상남도 김해시보건소2023-12-20B553430한국건강증진개발원
94주촌건강생활지원센터기본형경상남도 김해시 주촌면 주선로 29-135.234777128.84575709:0018:00토+일+공휴일금연+신체활동+영양+심뇌혈관<NA>021.01.0000행정인력(1)+상담사(1)인바디+혈압계+당화혈색소측정기악력측정기+앉아서윗몸앞으로굽히기측정기알렉시아 유압식 순환근력장비+쇼울더링일산화탄소(CO)측정기+폐모형+흡연구식단모형+염분량입체모형+식품구성자석보절주입체패널+가상음주체험키트없음OX055-330-2602경상남도 김해시보건소2023-12-20B553430한국건강증진개발원
95삼천포건강생활지원센터기본형경상남도 사천시 동금로 33, 2층34.930922128.07909109:0018:00토+일+공휴일신체활동+만성질환예방관리건강상담실운영020.00.0000행정인력(1)인바디+혈압계+체중계악력측정기+자전거에르고미터러닝머신+순환식유압운동기없음염도계없음없음XX055-831-5461경상남도 사천시보건소2023-12-20B553430한국건강증진개발원
96동부건강생활지원센터(양산시)기본형경상남도 양산시 번영로 3535.375121129.14922809:0018:00토+일+공휴일신체활동+영양+심뇌혈관+치매+비만<NA>032.01.0000식품기사(1)인바디+혈압계+혈당측정기+콜레스테롤측시각반응측정기+자세보행측정기없음없음없음없음없음OX055-392-6981경상남도 양산시보건소2023-12-20B553430한국건강증진개발원
97사파건강생활지원센터기본형경상남도 창원시 성산구 창이대로 689번길 1435.223825128.70246809:0018:00토+일+공휴일만성질환예방관리+영양+신체활동<NA>011.01.0000행정인력(1)인바디+혈압계체력측정및운동가이드시스템러닝머신+숄더프레스+체스트프레스+레그없음없음없음없음XX055-225-6381경상남도 창원시 창원보건소2023-12-20B553430한국건강증진개발원
98동부건강생활지원센터(창원시)기본형경상남도 창원시 진해구 용원로41번길 8, 1층35.100259128.8143609:0018:00토+일+공휴일영양+신체활동+심뇌혈관<NA>011.01.0000행정인력(1)인바디+혈압계없음러닝머신+버터플라이+레그컬+레그익스텐없음조리실습용 장비(인덕션, 냉장고 등)없음없음OX055-225-6221경상남도 창원시 진해보건소2023-12-20B553430한국건강증진개발원
99함안군건강생활지원센터기본형경상남도 함안군 칠원읍 용산1길 54-535.310112128.51670409:0018:00일+공휴일재활+신체활동+심뇌혈관농부증재활사업010.01.01000인바디+혈압계+혈당콜레스테롤측정기+당악력측정기+자전거에르고미터러닝머신+스텝퍼+워킹머신일산화탄소(CO)측정기+흡연자 구강ㆍ염도계+식단/식품모형+영양프로그램없음기립훈련기+어깨회전운동기+슬링+러닝머XX055-580-3313경상남도 함안군보건소2023-12-20B553430한국건강증진개발원
100노형건강생활지원센터기본형제주특별자치도 제주시 노형9길 9-433.482882126.47699209:0018:00토+일+공휴일재활+만성질환예방관리재활운동실 및 건강상담실 운영031.00.0101운전직(1)인바디+혈압계+혈당측정기없음없음없음없음없음러닝머신+전동상지운동기+전동하지운동기XX064-728-8721제주특별자치도 제주보건소2023-12-20B553430한국건강증진개발원
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