Overview

Dataset statistics

Number of variables24
Number of observations343
Missing cells506
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.1 KiB
Average record size in memory200.4 B

Variable types

Text11
Categorical4
Numeric8
DateTime1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15021137/standard.do

Alerts

운영시작시각 is highly imbalanced (89.9%)Imbalance
운영종료시각 is highly imbalanced (78.2%)Imbalance
소재지지번주소 has 29 (8.5%) missing valuesMissing
건물면적 has 69 (20.1%) missing valuesMissing
영양사수 has 52 (15.2%) missing valuesMissing
기타인력현황 has 73 (21.3%) missing valuesMissing
기타이용안내 has 227 (66.2%) missing valuesMissing
운영기관명 has 32 (9.3%) missing valuesMissing
관리기관전화번호 has 23 (6.7%) missing valuesMissing
의사수 has 199 (58.0%) zerosZeros
간호사수 has 57 (16.6%) zerosZeros
사회복지사수 has 152 (44.3%) zerosZeros
영양사수 has 173 (50.4%) zerosZeros

Reproduction

Analysis started2024-05-11 07:51:43.788023
Analysis finished2024-05-11 07:51:45.847227
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건강증진센터명
Text

Distinct293
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T16:51:46.077650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length11.478134
Min length4

Characters and Unicode

Total characters3937
Distinct characters219
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)76.1%

Sample

1st row남원시 보건소 주민건강증진센터
2nd row고성군정신건강복지센터
3rd row남부건강생활지원센터
4th row영월군정신건강복지센터
5th row서귀포보건소 주민건강증진센터
ValueCountFrequency (%)
건강증진센터 38
 
8.6%
정신건강복지센터 19
 
4.3%
건강생활지원센터 10
 
2.3%
보건소 6
 
1.4%
건강증진120센터 5
 
1.1%
통합건강증진센터 4
 
0.9%
청주시 4
 
0.9%
양평군 3
 
0.7%
정신건강증진센터 3
 
0.7%
동부보건소 3
 
0.7%
Other values (302) 346
78.5%
2024-05-11T16:51:46.710649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 347
 
8.8%
센 334
 
8.5%
터 334
 
8.5%
강 305
 
7.7%
지 213
 
5.4%
정 168
 
4.3%
신 163
 
4.1%
복 144
 
3.7%
시 107
 
2.7%
진 102
 
2.6%
Other values (209) 1720
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3752
95.3%
Space Separator 98
 
2.5%
Close Punctuation 25
 
0.6%
Open Punctuation 25
 
0.6%
Decimal Number 16
 
0.4%
Uppercase Letter 15
 
0.4%
Connector Punctuation 5
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 347
 
9.2%
센 334
 
8.9%
터 334
 
8.9%
강 305
 
8.1%
지 213
 
5.7%
정 168
 
4.5%
신 163
 
4.3%
복 144
 
3.8%
시 107
 
2.9%
진 102
 
2.7%
Other values (193) 1535
40.9%
Uppercase Letter
ValueCountFrequency (%)
U 5
33.3%
T 3
20.0%
C 2
 
13.3%
Z 1
 
6.7%
O 1
 
6.7%
N 1
 
6.7%
E 1
 
6.7%
V 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
0 5
31.2%
1 5
31.2%
Space Separator
ValueCountFrequency (%)
98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3752
95.3%
Common 170
 
4.3%
Latin 15
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 347
 
9.2%
센 334
 
8.9%
터 334
 
8.9%
강 305
 
8.1%
지 213
 
5.7%
정 168
 
4.5%
신 163
 
4.3%
복 144
 
3.8%
시 107
 
2.9%
진 102
 
2.7%
Other values (193) 1535
40.9%
Common
ValueCountFrequency (%)
98
57.6%
) 25
 
14.7%
( 25
 
14.7%
2 6
 
3.5%
0 5
 
2.9%
1 5
 
2.9%
_ 5
 
2.9%
. 1
 
0.6%
Latin
ValueCountFrequency (%)
U 5
33.3%
T 3
20.0%
C 2
 
13.3%
Z 1
 
6.7%
O 1
 
6.7%
N 1
 
6.7%
E 1
 
6.7%
V 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3752
95.3%
ASCII 185
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 347
 
9.2%
센 334
 
8.9%
터 334
 
8.9%
강 305
 
8.1%
지 213
 
5.7%
정 168
 
4.5%
신 163
 
4.3%
복 144
 
3.8%
시 107
 
2.9%
진 102
 
2.7%
Other values (193) 1535
40.9%
ASCII
ValueCountFrequency (%)
98
53.0%
) 25
 
13.5%
( 25
 
13.5%
2 6
 
3.2%
0 5
 
2.7%
1 5
 
2.7%
U 5
 
2.7%
_ 5
 
2.7%
T 3
 
1.6%
C 2
 
1.1%
Other values (6) 6
 
3.2%

건강증진센터구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
건강증진
178 
정신보건
165 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건강증진
2nd row정신보건
3rd row건강증진
4th row정신보건
5th row건강증진

Common Values

ValueCountFrequency (%)
건강증진 178
51.9%
정신보건 165
48.1%

Length

2024-05-11T16:51:46.924034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:51:47.091731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강증진 178
51.9%
정신보건 165
48.1%

소재지도로명주소
Text

Distinct318
Distinct (%)93.0%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2024-05-11T16:51:47.531501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length33
Mean length20.821637
Min length13

Characters and Unicode

Total characters7121
Distinct characters280
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique296 ?
Unique (%)86.5%

Sample

1st row전라북도 남원시 요천로 1285
2nd row강원도 고성군 간성읍 수성로 30
3rd row강원도 강릉시 성덕포남로 80-22
4th row강원도 영월군 영월읍 하송로 46-43
5th row제주특별자치도 서귀포시 중앙로101번길 52(서홍동)
ValueCountFrequency (%)
경기도 72
 
4.5%
서울특별시 32
 
2.0%
경상남도 22
 
1.4%
전라남도 21
 
1.3%
경상북도 20
 
1.2%
충청남도 19
 
1.2%
강원도 18
 
1.1%
인천광역시 18
 
1.1%
부산광역시 17
 
1.1%
화성시 17
 
1.1%
Other values (844) 1348
84.0%
2024-05-11T16:51:48.156876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1262
 
17.7%
로 308
 
4.3%
시 273
 
3.8%
1 245
 
3.4%
도 244
 
3.4%
2 178
 
2.5%
구 163
 
2.3%
3 130
 
1.8%
경 121
 
1.7%
남 117
 
1.6%
Other values (270) 4080
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4561
64.0%
Space Separator 1262
 
17.7%
Decimal Number 1138
 
16.0%
Dash Punctuation 56
 
0.8%
Other Punctuation 40
 
0.6%
Close Punctuation 31
 
0.4%
Open Punctuation 31
 
0.4%
Other Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 308
 
6.8%
시 273
 
6.0%
도 244
 
5.3%
구 163
 
3.6%
경 121
 
2.7%
남 117
 
2.6%
광 107
 
2.3%
읍 100
 
2.2%
길 98
 
2.1%
군 97
 
2.1%
Other values (252) 2933
64.3%
Decimal Number
ValueCountFrequency (%)
1 245
21.5%
2 178
15.6%
3 130
11.4%
4 108
9.5%
5 103
9.1%
9 78
 
6.9%
6 77
 
6.8%
0 75
 
6.6%
8 72
 
6.3%
7 72
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 39
97.5%
. 1
 
2.5%
Space Separator
ValueCountFrequency (%)
1262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4562
64.1%
Common 2558
35.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 308
 
6.8%
시 273
 
6.0%
도 244
 
5.3%
구 163
 
3.6%
경 121
 
2.7%
남 117
 
2.6%
광 107
 
2.3%
읍 100
 
2.2%
길 98
 
2.1%
군 97
 
2.1%
Other values (253) 2934
64.3%
Common
ValueCountFrequency (%)
1262
49.3%
1 245
 
9.6%
2 178
 
7.0%
3 130
 
5.1%
4 108
 
4.2%
5 103
 
4.0%
9 78
 
3.0%
6 77
 
3.0%
0 75
 
2.9%
8 72
 
2.8%
Other values (6) 230
 
9.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4561
64.0%
ASCII 2559
35.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1262
49.3%
1 245
 
9.6%
2 178
 
7.0%
3 130
 
5.1%
4 108
 
4.2%
5 103
 
4.0%
9 78
 
3.0%
6 77
 
3.0%
0 75
 
2.9%
8 72
 
2.8%
Other values (7) 231
 
9.0%
Hangul
ValueCountFrequency (%)
로 308
 
6.8%
시 273
 
6.0%
도 244
 
5.3%
구 163
 
3.6%
경 121
 
2.7%
남 117
 
2.6%
광 107
 
2.3%
읍 100
 
2.2%
길 98
 
2.1%
군 97
 
2.1%
Other values (252) 2933
64.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지지번주소
Text

MISSING 

Distinct289
Distinct (%)92.0%
Missing29
Missing (%)8.5%
Memory size2.8 KiB
2024-05-11T16:51:48.586421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length19.984076
Min length12

Characters and Unicode

Total characters6275
Distinct characters238
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)84.7%

Sample

1st row전라북도 남원시 조산동 455
2nd row강원도 고성군 간성읍 신안리 178
3rd row강원도 강릉시 입암동 59
4th row강원도 영월군 영월읍 하송리 236-2
5th row제주특별자치도 서귀포시 서홍동 447-3
ValueCountFrequency (%)
경기도 70
 
5.0%
서울특별시 29
 
2.1%
경상남도 21
 
1.5%
충청남도 19
 
1.3%
경상북도 18
 
1.3%
인천광역시 18
 
1.3%
부산광역시 17
 
1.2%
전라남도 17
 
1.2%
화성시 17
 
1.2%
강원도 15
 
1.1%
Other values (791) 1168
82.9%
2024-05-11T16:51:49.341118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1095
 
17.5%
시 247
 
3.9%
1 235
 
3.7%
동 228
 
3.6%
도 222
 
3.5%
- 206
 
3.3%
구 152
 
2.4%
3 149
 
2.4%
2 141
 
2.2%
5 119
 
1.9%
Other values (228) 3481
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3749
59.7%
Decimal Number 1195
 
19.0%
Space Separator 1095
 
17.5%
Dash Punctuation 206
 
3.3%
Other Punctuation 14
 
0.2%
Uppercase Letter 10
 
0.2%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 247
 
6.6%
동 228
 
6.1%
도 222
 
5.9%
구 152
 
4.1%
경 112
 
3.0%
리 108
 
2.9%
남 106
 
2.8%
광 103
 
2.7%
읍 94
 
2.5%
산 91
 
2.4%
Other values (204) 2286
61.0%
Decimal Number
ValueCountFrequency (%)
1 235
19.7%
3 149
12.5%
2 141
11.8%
5 119
10.0%
6 112
9.4%
4 109
9.1%
0 94
 
7.9%
8 85
 
7.1%
7 82
 
6.9%
9 69
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
D 2
20.0%
B 1
10.0%
H 1
10.0%
E 1
10.0%
J 1
10.0%
T 1
10.0%
S 1
10.0%
K 1
10.0%
A 1
10.0%
Space Separator
ValueCountFrequency (%)
1095
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3749
59.7%
Common 2516
40.1%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 247
 
6.6%
동 228
 
6.1%
도 222
 
5.9%
구 152
 
4.1%
경 112
 
3.0%
리 108
 
2.9%
남 106
 
2.8%
광 103
 
2.7%
읍 94
 
2.5%
산 91
 
2.4%
Other values (204) 2286
61.0%
Common
ValueCountFrequency (%)
1095
43.5%
1 235
 
9.3%
- 206
 
8.2%
3 149
 
5.9%
2 141
 
5.6%
5 119
 
4.7%
6 112
 
4.5%
4 109
 
4.3%
0 94
 
3.7%
8 85
 
3.4%
Other values (5) 171
 
6.8%
Latin
ValueCountFrequency (%)
D 2
20.0%
B 1
10.0%
H 1
10.0%
E 1
10.0%
J 1
10.0%
T 1
10.0%
S 1
10.0%
K 1
10.0%
A 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3749
59.7%
ASCII 2526
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1095
43.3%
1 235
 
9.3%
- 206
 
8.2%
3 149
 
5.9%
2 141
 
5.6%
5 119
 
4.7%
6 112
 
4.4%
4 109
 
4.3%
0 94
 
3.7%
8 85
 
3.4%
Other values (14) 181
 
7.2%
Hangul
ValueCountFrequency (%)
시 247
 
6.6%
동 228
 
6.1%
도 222
 
5.9%
구 152
 
4.1%
경 112
 
3.0%
리 108
 
2.9%
남 106
 
2.8%
광 103
 
2.7%
읍 94
 
2.5%
산 91
 
2.4%
Other values (204) 2286
61.0%

위도
Real number (ℝ)

Distinct296
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.475501
Minimum33.218671
Maximum38.377617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T16:51:49.712766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.218671
5-th percentile34.862996
Q135.49537
median36.751879
Q337.483649
95-th percentile37.833006
Maximum38.377617
Range5.1589458
Interquartile range (IQR)1.9882794

Descriptive statistics

Standard deviation1.1408448
Coefficient of variation (CV)0.031277014
Kurtosis-0.29101795
Mean36.475501
Median Absolute Deviation (MAD)0.82992779
Skewness-0.63080688
Sum12511.097
Variance1.3015268
MonotonicityNot monotonic
2024-05-11T16:51:50.105739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.9646059 4
 
1.2%
33.2534258 3
 
0.9%
37.2070698 3
 
0.9%
35.39783988 2
 
0.6%
37.27939629 2
 
0.6%
38.10994446 2
 
0.6%
35.57798125 2
 
0.6%
36.0058821 2
 
0.6%
35.81584604 2
 
0.6%
36.78256694 2
 
0.6%
Other values (286) 319
93.0%
ValueCountFrequency (%)
33.21867078 1
 
0.3%
33.2505223 1
 
0.3%
33.2534258 3
0.9%
33.27562882 1
 
0.3%
33.33112995 1
 
0.3%
33.44655494 1
 
0.3%
33.48288157 1
 
0.3%
33.49593437 1
 
0.3%
34.33582329 1
 
0.3%
34.57046123 1
 
0.3%
ValueCountFrequency (%)
38.37761662 2
0.6%
38.1481382 2
0.6%
38.10994446 2
0.6%
38.07784528 2
0.6%
38.06327706 2
0.6%
38.02353445 1
0.3%
37.97388525 1
0.3%
37.90082576 1
0.3%
37.89661147 1
0.3%
37.875777 2
0.6%

경도
Real number (ℝ)

Distinct294
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.54069
Minimum126.25324
Maximum130.89946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T16:51:50.399353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25324
5-th percentile126.62924
Q1126.90663
median127.14335
Q3128.19919
95-th percentile129.11374
Maximum130.89946
Range4.6462197
Interquartile range (IQR)1.2925575

Descriptive statistics

Standard deviation0.86475816
Coefficient of variation (CV)0.0067802529
Kurtosis-0.22647078
Mean127.54069
Median Absolute Deviation (MAD)0.3674786
Skewness0.90804679
Sum43746.458
Variance0.74780667
MonotonicityNot monotonic
2024-05-11T16:51:50.681868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6897785 4
 
1.2%
126.5553625 3
 
0.9%
127.0786007 3
 
0.9%
127.5836111 3
 
0.9%
127.3639897 2
 
0.6%
129.1722129 2
 
0.6%
127.0146097 2
 
0.6%
127.720819 2
 
0.6%
127.9844504 2
 
0.6%
126.8448507 2
 
0.6%
Other values (284) 318
92.7%
ValueCountFrequency (%)
126.2532429 1
0.3%
126.3231987 1
0.3%
126.3313996 1
0.3%
126.4445156 1
0.3%
126.4610002 1
0.3%
126.4769922 1
0.3%
126.4847095 1
0.3%
126.504163 1
0.3%
126.5194874 1
0.3%
126.5234690617 1
0.3%
ValueCountFrequency (%)
130.8994626 1
0.3%
129.4164300357 2
0.6%
129.4045994 1
0.3%
129.396245 1
0.3%
129.3804374 1
0.3%
129.3735579543 1
0.3%
129.3607258 1
0.3%
129.350445 1
0.3%
129.3363124 1
0.3%
129.2596398 1
0.3%

건강증진업무내용
Text

Distinct268
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T16:51:51.072835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length140
Median length48
Mean length29.597668
Min length4

Characters and Unicode

Total characters10152
Distinct characters287
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

Unique218 ?
Unique (%)63.6%

Sample

1st row금연+절주+영양+신체활동+비만 등맞춤형 건강상담 및 교육
2nd row자살예방+정신건강증진
3rd row모바일헬스케어사업+소생활권맞춤형건강증진사업+심뇌혈관질환예방관리사업+한의약건강증진사업+건강한성덕동만들기
4th row정신건강증진+자살예방
5th row체력단련실(장애인전용)+체지방측정+건강상담
ValueCountFrequency (%)
및 117
 
8.9%
등 65
 
4.9%
운영 48
 
3.6%
프로그램 22
 
1.7%
관리 20
 
1.5%
교육 18
 
1.4%
정신질환자 18
 
1.4%
정신건강증진 17
 
1.3%
자살예방사업 16
 
1.2%
중증정신질환자 16
 
1.2%
Other values (559) 959
72.9%
2024-05-11T16:51:52.325165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
974
 
9.6%
+ 584
 
5.8%
사 385
 
3.8%
정 345
 
3.4%
신 340
 
3.3%
건 339
 
3.3%
강 337
 
3.3%
업 294
 
2.9%
증 269
 
2.6%
리 263
 
2.6%
Other values (277) 6022
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8388
82.6%
Space Separator 974
 
9.6%
Math Symbol 584
 
5.8%
Other Punctuation 153
 
1.5%
Close Punctuation 20
 
0.2%
Open Punctuation 20
 
0.2%
Uppercase Letter 8
 
0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 385
 
4.6%
정 345
 
4.1%
신 340
 
4.1%
건 339
 
4.0%
강 337
 
4.0%
업 294
 
3.5%
증 269
 
3.2%
리 263
 
3.1%
관 258
 
3.1%
자 203
 
2.4%
Other values (260) 5355
63.8%
Uppercase Letter
ValueCountFrequency (%)
O 2
25.0%
T 2
25.0%
N 1
12.5%
Z 1
12.5%
C 1
12.5%
E 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 136
88.9%
· 12
 
7.8%
/ 4
 
2.6%
. 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
2 2
40.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Math Symbol
ValueCountFrequency (%)
+ 584
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8388
82.6%
Common 1756
 
17.3%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 385
 
4.6%
정 345
 
4.1%
신 340
 
4.1%
건 339
 
4.0%
강 337
 
4.0%
업 294
 
3.5%
증 269
 
3.2%
리 263
 
3.1%
관 258
 
3.1%
자 203
 
2.4%
Other values (260) 5355
63.8%
Common
ValueCountFrequency (%)
974
55.5%
+ 584
33.3%
, 136
 
7.7%
) 20
 
1.1%
( 20
 
1.1%
· 12
 
0.7%
/ 4
 
0.2%
4 2
 
0.1%
2 2
 
0.1%
. 1
 
0.1%
Latin
ValueCountFrequency (%)
O 2
25.0%
T 2
25.0%
N 1
12.5%
Z 1
12.5%
C 1
12.5%
E 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8382
82.6%
ASCII 1752
 
17.3%
None 12
 
0.1%
Compat Jamo 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
974
55.6%
+ 584
33.3%
, 136
 
7.8%
) 20
 
1.1%
( 20
 
1.1%
/ 4
 
0.2%
O 2
 
0.1%
T 2
 
0.1%
4 2
 
0.1%
2 2
 
0.1%
Other values (6) 6
 
0.3%
Hangul
ValueCountFrequency (%)
사 385
 
4.6%
정 345
 
4.1%
신 340
 
4.1%
건 339
 
4.0%
강 337
 
4.0%
업 294
 
3.5%
증 269
 
3.2%
리 263
 
3.1%
관 258
 
3.1%
자 203
 
2.4%
Other values (258) 5349
63.8%
None
ValueCountFrequency (%)
· 12
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 4
66.7%
ㆍ 2
33.3%

운영시작시각
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
09:00
332 
00:00
 
3
06:00
 
2
08:30
 
2
05:30
 
2
Other values (2)
 
2

Length

Max length5
Median length5
Mean length4.9970845
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
09:00 332
96.8%
00:00 3
 
0.9%
06:00 2
 
0.6%
08:30 2
 
0.6%
05:30 2
 
0.6%
08:00 1
 
0.3%
9:00 1
 
0.3%

Length

2024-05-11T16:51:52.601785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:51:52.791713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 332
96.8%
00:00 3
 
0.9%
06:00 2
 
0.6%
08:30 2
 
0.6%
05:30 2
 
0.6%
08:00 1
 
0.3%
9:00 1
 
0.3%

운영종료시각
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
18:00
311 
17:00
 
16
21:00
 
5
20:00
 
3
23:59
 
3
Other values (3)
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
18:00 311
90.7%
17:00 16
 
4.7%
21:00 5
 
1.5%
20:00 3
 
0.9%
23:59 3
 
0.9%
17:30 2
 
0.6%
22:00 2
 
0.6%
06:00 1
 
0.3%

Length

2024-05-11T16:51:53.000131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:51:53.244389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 311
90.7%
17:00 16
 
4.7%
21:00 5
 
1.5%
20:00 3
 
0.9%
23:59 3
 
0.9%
17:30 2
 
0.6%
22:00 2
 
0.6%
06:00 1
 
0.3%

휴무일정보
Categorical

Distinct47
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
토+일+공휴일
138 
토요일+일요일+공휴일
56 
공휴일
15 
매주 토요일+일요일+공휴일
 
12
주말+공휴일
 
10
Other values (42)
112 

Length

Max length33
Median length24
Mean length8.425656
Min length3

Unique

Unique19 ?
Unique (%)5.5%

Sample

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

Common Values

ValueCountFrequency (%)
토+일+공휴일 138
40.2%
토요일+일요일+공휴일 56
16.3%
공휴일 15
 
4.4%
매주 토요일+일요일+공휴일 12
 
3.5%
주말+공휴일 10
 
2.9%
토+일+법정공휴일 10
 
2.9%
매주토요일+매주일요일+공휴일 9
 
2.6%
법정공휴일 7
 
2.0%
일+공휴일 6
 
1.7%
주말 및 국정공휴일 6
 
1.7%
Other values (37) 74
21.6%

Length

2024-05-11T16:51:53.525398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토+일+공휴일 139
33.4%
토요일+일요일+공휴일 68
16.3%
공휴일 28
 
6.7%
매주 15
 
3.6%
및 11
 
2.6%
주말+공휴일 10
 
2.4%
토+일+법정공휴일 10
 
2.4%
매주토요일+매주일요일+공휴일 9
 
2.2%
주말 9
 
2.2%
법정공휴일 8
 
1.9%
Other values (55) 109
26.2%

건물면적
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)82.1%
Missing69
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean1426.4522
Minimum10.2
Maximum80877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T16:51:53.834994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.2
5-th percentile60.875
Q1178.875
median294.47
Q3496.56
95-th percentile1715.9545
Maximum80877
Range80866.8
Interquartile range (IQR)317.685

Descriptive statistics

Standard deviation7781.0893
Coefficient of variation (CV)5.4548547
Kurtosis84.724392
Mean1426.4522
Median Absolute Deviation (MAD)136.8
Skewness8.9724842
Sum390847.89
Variance60545351
MonotonicityNot monotonic
2024-05-11T16:51:54.255654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330.0 6
 
1.7%
198.0 4
 
1.2%
345.6 4
 
1.2%
101.0 3
 
0.9%
395.91 3
 
0.9%
825.0 3
 
0.9%
903.0 2
 
0.6%
831.0 2
 
0.6%
64.0 2
 
0.6%
330.9 2
 
0.6%
Other values (215) 243
70.8%
(Missing) 69
 
20.1%
ValueCountFrequency (%)
10.2 1
0.3%
12.0 1
0.3%
17.0 1
0.3%
17.2 1
0.3%
27.3 1
0.3%
30.0 1
0.3%
33.0 1
0.3%
34.0 1
0.3%
34.759613 1
0.3%
40.0 1
0.3%
ValueCountFrequency (%)
80877.0 2
0.6%
49877.0 1
0.3%
27002.0 1
0.3%
24474.0 1
0.3%
4654.11 2
0.6%
4620.01 1
0.3%
4389.63 1
0.3%
4163.08 1
0.3%
4069.0 1
0.3%
2752.0 1
0.3%

의사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4664723
Minimum0
Maximum6
Zeros199
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T16:51:54.513815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.67400442
Coefficient of variation (CV)1.444897
Kurtosis19.446475
Mean0.4664723
Median Absolute Deviation (MAD)0
Skewness3.0907519
Sum160
Variance0.45428196
MonotonicityNot monotonic
2024-05-11T16:51:54.683633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 199
58.0%
1 137
39.9%
2 4
 
1.2%
4 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
ValueCountFrequency (%)
0 199
58.0%
1 137
39.9%
2 4
 
1.2%
4 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
2 4
 
1.2%
1 137
39.9%
0 199
58.0%

간호사수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8950437
Minimum0
Maximum20
Zeros57
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T16:51:54.847109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8.9
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1026406
Coefficient of variation (CV)1.0717077
Kurtosis7.860852
Mean2.8950437
Median Absolute Deviation (MAD)1
Skewness2.3419958
Sum993
Variance9.6263789
MonotonicityNot monotonic
2024-05-11T16:51:55.045630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 78
22.7%
2 60
17.5%
0 57
16.6%
3 53
15.5%
4 29
 
8.5%
5 19
 
5.5%
7 12
 
3.5%
6 9
 
2.6%
8 8
 
2.3%
11 5
 
1.5%
Other values (6) 13
 
3.8%
ValueCountFrequency (%)
0 57
16.6%
1 78
22.7%
2 60
17.5%
3 53
15.5%
4 29
 
8.5%
5 19
 
5.5%
6 9
 
2.6%
7 12
 
3.5%
8 8
 
2.3%
9 4
 
1.2%
ValueCountFrequency (%)
20 2
 
0.6%
18 1
 
0.3%
16 2
 
0.6%
12 1
 
0.3%
11 5
1.5%
10 3
 
0.9%
9 4
 
1.2%
8 8
2.3%
7 12
3.5%
6 9
2.6%

사회복지사수
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3294461
Minimum0
Maximum46
Zeros152
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T16:51:55.236523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile18.9
Maximum46
Range46
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.2264485
Coefficient of variation (CV)1.3559474
Kurtosis4.8446206
Mean5.3294461
Median Absolute Deviation (MAD)2
Skewness1.8843497
Sum1828
Variance52.221557
MonotonicityNot monotonic
2024-05-11T16:51:55.444463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 152
44.3%
8 19
 
5.5%
3 17
 
5.0%
11 16
 
4.7%
5 15
 
4.4%
1 15
 
4.4%
10 12
 
3.5%
6 12
 
3.5%
2 10
 
2.9%
7 10
 
2.9%
Other values (20) 65
19.0%
ValueCountFrequency (%)
0 152
44.3%
1 15
 
4.4%
2 10
 
2.9%
3 17
 
5.0%
4 5
 
1.5%
5 15
 
4.4%
6 12
 
3.5%
7 10
 
2.9%
8 19
 
5.5%
9 5
 
1.5%
ValueCountFrequency (%)
46 1
 
0.3%
39 1
 
0.3%
32 1
 
0.3%
31 2
0.6%
30 1
 
0.3%
28 1
 
0.3%
24 1
 
0.3%
22 1
 
0.3%
21 3
0.9%
20 4
1.2%

영양사수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.4%
Missing52
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean0.58075601
Minimum0
Maximum6
Zeros173
Zeros (%)50.4%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T16:51:55.654185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.88054104
Coefficient of variation (CV)1.5161979
Kurtosis7.1815463
Mean0.58075601
Median Absolute Deviation (MAD)0
Skewness2.1779249
Sum169
Variance0.77535253
MonotonicityNot monotonic
2024-05-11T16:51:55.838392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 173
50.4%
1 83
24.2%
2 25
 
7.3%
3 7
 
2.0%
5 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
(Missing) 52
 
15.2%
ValueCountFrequency (%)
0 173
50.4%
1 83
24.2%
2 25
 
7.3%
3 7
 
2.0%
4 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
3 7
 
2.0%
2 25
 
7.3%
1 83
24.2%
0 173
50.4%

기타인력현황
Text

MISSING 

Distinct134
Distinct (%)49.6%
Missing73
Missing (%)21.3%
Memory size2.8 KiB
2024-05-11T16:51:56.113413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length72
Mean length11.07037
Min length1

Characters and Unicode

Total characters2989
Distinct characters116
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

Unique101 ?
Unique (%)37.4%

Sample

1st row간호조무사(1)+운동지도사(1)
2nd row보건직(1)
3rd row운동처방사(2)+기타행정인력(2)
4th row생활체육지도자(1)
5th row행정업무간호사(1)+간호조무사(1)
ValueCountFrequency (%)
0 36
 
12.5%
운동처방사(1 20
 
6.9%
운동처방사(2 12
 
4.2%
1 11
 
3.8%
임상심리사(1 10
 
3.5%
행정(1 8
 
2.8%
2 8
 
2.8%
3 7
 
2.4%
작업치료사(1 6
 
2.1%
임상심리사(2 5
 
1.7%
Other values (132) 165
57.3%
2024-05-11T16:51:56.694643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 344
 
11.5%
) 343
 
11.5%
사 237
 
7.9%
1 230
 
7.7%
+ 151
 
5.1%
리 95
 
3.2%
2 92
 
3.1%
운 80
 
2.7%
동 78
 
2.6%
방 65
 
2.2%
Other values (106) 1274
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1701
56.9%
Decimal Number 423
 
14.2%
Open Punctuation 344
 
11.5%
Close Punctuation 343
 
11.5%
Math Symbol 151
 
5.1%
Space Separator 18
 
0.6%
Other Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 237
 
13.9%
리 95
 
5.6%
운 80
 
4.7%
동 78
 
4.6%
방 65
 
3.8%
처 64
 
3.8%
치 59
 
3.5%
상 58
 
3.4%
원 52
 
3.1%
료 52
 
3.1%
Other values (90) 861
50.6%
Decimal Number
ValueCountFrequency (%)
1 230
54.4%
2 92
 
21.7%
0 39
 
9.2%
3 34
 
8.0%
4 14
 
3.3%
5 6
 
1.4%
7 4
 
0.9%
6 2
 
0.5%
9 1
 
0.2%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
: 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 343
100.0%
Math Symbol
ValueCountFrequency (%)
+ 151
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1701
56.9%
Common 1288
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 237
 
13.9%
리 95
 
5.6%
운 80
 
4.7%
동 78
 
4.6%
방 65
 
3.8%
처 64
 
3.8%
치 59
 
3.5%
상 58
 
3.4%
원 52
 
3.1%
료 52
 
3.1%
Other values (90) 861
50.6%
Common
ValueCountFrequency (%)
( 344
26.7%
) 343
26.6%
1 230
17.9%
+ 151
11.7%
2 92
 
7.1%
0 39
 
3.0%
3 34
 
2.6%
18
 
1.4%
4 14
 
1.1%
, 8
 
0.6%
Other values (6) 15
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1701
56.9%
ASCII 1288
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 344
26.7%
) 343
26.6%
1 230
17.9%
+ 151
11.7%
2 92
 
7.1%
0 39
 
3.0%
3 34
 
2.6%
18
 
1.4%
4 14
 
1.1%
, 8
 
0.6%
Other values (6) 15
 
1.2%
Hangul
ValueCountFrequency (%)
사 237
 
13.9%
리 95
 
5.6%
운 80
 
4.7%
동 78
 
4.6%
방 65
 
3.8%
처 64
 
3.8%
치 59
 
3.5%
상 58
 
3.4%
원 52
 
3.1%
료 52
 
3.1%
Other values (90) 861
50.6%

기타이용안내
Text

MISSING 

Distinct74
Distinct (%)63.8%
Missing227
Missing (%)66.2%
Memory size2.8 KiB
2024-05-11T16:51:57.085323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length32
Mean length14.37931
Min length1

Characters and Unicode

Total characters1668
Distinct characters198
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)46.6%

Sample

1st row음주 하지 않은 상태
2nd row방문간호팀 장애인 재활 프로그램실로 운영
3rd row방문전 031-324-8902/8555/8922로 연락요망
4th row내소 및 사전예약
5th row만성질환관리, 금연클리닉, 운동(처방)실, 영양상담 등
ValueCountFrequency (%)
전화 18
 
4.8%
예약 17
 
4.6%
및 16
 
4.3%
0 10
 
2.7%
요망 10
 
2.7%
금식 9
 
2.4%
상담 9
 
2.4%
방문 7
 
1.9%
후 7
 
1.9%
사전예약(방문 6
 
1.6%
Other values (149) 264
70.8%
2024-05-11T16:51:57.797289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
257
 
15.4%
전 83
 
5.0%
0 51
 
3.1%
사 44
 
2.6%
예 43
 
2.6%
약 42
 
2.5%
상 39
 
2.3%
1 37
 
2.2%
담 34
 
2.0%
화 33
 
2.0%
Other values (188) 1005
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1125
67.4%
Space Separator 257
 
15.4%
Decimal Number 168
 
10.1%
Math Symbol 27
 
1.6%
Other Punctuation 24
 
1.4%
Close Punctuation 19
 
1.1%
Open Punctuation 19
 
1.1%
Dash Punctuation 16
 
1.0%
Lowercase Letter 13
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 83
 
7.4%
사 44
 
3.9%
예 43
 
3.8%
약 42
 
3.7%
상 39
 
3.5%
담 34
 
3.0%
화 33
 
2.9%
문 30
 
2.7%
시 29
 
2.6%
후 23
 
2.0%
Other values (158) 725
64.4%
Decimal Number
ValueCountFrequency (%)
0 51
30.4%
1 37
22.0%
9 19
 
11.3%
3 13
 
7.7%
2 13
 
7.7%
7 12
 
7.1%
5 10
 
6.0%
8 6
 
3.6%
4 4
 
2.4%
6 3
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
w 3
23.1%
r 2
15.4%
g 1
 
7.7%
s 1
 
7.7%
m 1
 
7.7%
i 1
 
7.7%
n 1
 
7.7%
d 1
 
7.7%
o 1
 
7.7%
k 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
: 10
41.7%
, 9
37.5%
. 3
 
12.5%
/ 2
 
8.3%
Math Symbol
ValueCountFrequency (%)
+ 23
85.2%
~ 4
 
14.8%
Space Separator
ValueCountFrequency (%)
257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1125
67.4%
Common 530
31.8%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 83
 
7.4%
사 44
 
3.9%
예 43
 
3.8%
약 42
 
3.7%
상 39
 
3.5%
담 34
 
3.0%
화 33
 
2.9%
문 30
 
2.7%
시 29
 
2.6%
후 23
 
2.0%
Other values (158) 725
64.4%
Common
ValueCountFrequency (%)
257
48.5%
0 51
 
9.6%
1 37
 
7.0%
+ 23
 
4.3%
) 19
 
3.6%
9 19
 
3.6%
( 19
 
3.6%
- 16
 
3.0%
3 13
 
2.5%
2 13
 
2.5%
Other values (10) 63
 
11.9%
Latin
ValueCountFrequency (%)
w 3
23.1%
r 2
15.4%
g 1
 
7.7%
s 1
 
7.7%
m 1
 
7.7%
i 1
 
7.7%
n 1
 
7.7%
d 1
 
7.7%
o 1
 
7.7%
k 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1125
67.4%
ASCII 543
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
257
47.3%
0 51
 
9.4%
1 37
 
6.8%
+ 23
 
4.2%
) 19
 
3.5%
9 19
 
3.5%
( 19
 
3.5%
- 16
 
2.9%
3 13
 
2.4%
2 13
 
2.4%
Other values (20) 76
 
14.0%
Hangul
ValueCountFrequency (%)
전 83
 
7.4%
사 44
 
3.9%
예 43
 
3.8%
약 42
 
3.7%
상 39
 
3.5%
담 34
 
3.0%
화 33
 
2.9%
문 30
 
2.7%
시 29
 
2.6%
후 23
 
2.0%
Other values (158) 725
64.4%

운영기관전화번호
Text

Distinct303
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T16:51:58.305405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.017493
Min length11

Characters and Unicode

Total characters4122
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

Unique268 ?
Unique (%)78.1%

Sample

1st row063-620-7987
2nd row033-680-4001
3rd row033-660-2483
4th row033-370-2556
5th row064-760-6063
ValueCountFrequency (%)
031-352-0175 7
 
2.0%
063-539-6088 2
 
0.6%
063-251-0650 2
 
0.6%
041-537-3451 2
 
0.6%
063-464-0061 2
 
0.6%
063-650-5256 2
 
0.6%
063-451-0363 2
 
0.6%
033-336-6128 2
 
0.6%
033-480-2789 2
 
0.6%
063-841-4235 2
 
0.6%
Other values (293) 318
92.7%
2024-05-11T16:51:59.010974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 686
16.6%
0 647
15.7%
3 452
11.0%
1 361
8.8%
6 344
8.3%
5 341
8.3%
2 340
8.2%
4 311
7.5%
8 236
 
5.7%
7 224
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3436
83.4%
Dash Punctuation 686
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 647
18.8%
3 452
13.2%
1 361
10.5%
6 344
10.0%
5 341
9.9%
2 340
9.9%
4 311
9.1%
8 236
 
6.9%
7 224
 
6.5%
9 180
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 686
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 686
16.6%
0 647
15.7%
3 452
11.0%
1 361
8.8%
6 344
8.3%
5 341
8.3%
2 340
8.2%
4 311
7.5%
8 236
 
5.7%
7 224
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 686
16.6%
0 647
15.7%
3 452
11.0%
1 361
8.8%
6 344
8.3%
5 341
8.3%
2 340
8.2%
4 311
7.5%
8 236
 
5.7%
7 224
 
5.4%

운영기관명
Text

MISSING 

Distinct225
Distinct (%)72.3%
Missing32
Missing (%)9.3%
Memory size2.8 KiB
2024-05-11T16:51:59.575037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length9.5209003
Min length2

Characters and Unicode

Total characters2961
Distinct characters200
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)55.3%

Sample

1st row전라북도 남원시 보건소
2nd row강원도 고성군보건소
3rd row강릉시보건소
4th row직영
5th row제주특별자치도 서귀포시 서귀포보건소
ValueCountFrequency (%)
보건소 23
 
4.6%
서울특별시 13
 
2.6%
산학협력단 12
 
2.4%
의료법인 10
 
2.0%
제주특별자치도 8
 
1.6%
서구보건소 8
 
1.6%
서귀포시 8
 
1.6%
사회복지법인)경산복지재단 7
 
1.4%
노원구 7
 
1.4%
충청남도 7
 
1.4%
Other values (255) 393
79.2%
2024-05-11T16:52:00.374783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 192
 
6.5%
185
 
6.2%
보 162
 
5.5%
소 150
 
5.1%
원 111
 
3.7%
시 83
 
2.8%
구 75
 
2.5%
학 60
 
2.0%
산 59
 
2.0%
군 57
 
1.9%
Other values (190) 1827
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2758
93.1%
Space Separator 185
 
6.2%
Close Punctuation 11
 
0.4%
Open Punctuation 4
 
0.1%
Other Punctuation 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 192
 
7.0%
보 162
 
5.9%
소 150
 
5.4%
원 111
 
4.0%
시 83
 
3.0%
구 75
 
2.7%
학 60
 
2.2%
산 59
 
2.1%
군 57
 
2.1%
지 57
 
2.1%
Other values (184) 1752
63.5%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
? 1
50.0%
Space Separator
ValueCountFrequency (%)
185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
d 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2758
93.1%
Common 202
 
6.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 192
 
7.0%
보 162
 
5.9%
소 150
 
5.4%
원 111
 
4.0%
시 83
 
3.0%
구 75
 
2.7%
학 60
 
2.2%
산 59
 
2.1%
군 57
 
2.1%
지 57
 
2.1%
Other values (184) 1752
63.5%
Common
ValueCountFrequency (%)
185
91.6%
) 11
 
5.4%
( 4
 
2.0%
: 1
 
0.5%
? 1
 
0.5%
Latin
ValueCountFrequency (%)
d 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2758
93.1%
ASCII 203
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 192
 
7.0%
보 162
 
5.9%
소 150
 
5.4%
원 111
 
4.0%
시 83
 
3.0%
구 75
 
2.7%
학 60
 
2.2%
산 59
 
2.1%
군 57
 
2.1%
지 57
 
2.1%
Other values (184) 1752
63.5%
ASCII
ValueCountFrequency (%)
185
91.1%
) 11
 
5.4%
( 4
 
2.0%
: 1
 
0.5%
? 1
 
0.5%
d 1
 
0.5%

관리기관전화번호
Text

MISSING 

Distinct261
Distinct (%)81.6%
Missing23
Missing (%)6.7%
Memory size2.8 KiB
2024-05-11T16:52:00.712477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.05625
Min length11

Characters and Unicode

Total characters3858
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)66.6%

Sample

1st row063-625-4000
2nd row033-680-3541
3rd row033-660-2483
4th row033-372-4000
5th row064-760-6041
ValueCountFrequency (%)
032-880-5487 5
 
1.6%
031-5189-4738 5
 
1.6%
031-5189-3707 4
 
1.2%
064-760-6123 3
 
0.9%
033-530-2401 3
 
0.9%
031-5189-6263 3
 
0.9%
042-636-7629 2
 
0.6%
033-461-2122 2
 
0.6%
063-625-4000 2
 
0.6%
031-228-5920 2
 
0.6%
Other values (251) 289
90.3%
2024-05-11T16:52:01.309756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 640
16.6%
0 634
16.4%
3 422
10.9%
2 353
9.1%
1 314
8.1%
5 312
8.1%
6 306
7.9%
4 295
7.6%
8 226
 
5.9%
7 207
 
5.4%
Other values (2) 149
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3217
83.4%
Dash Punctuation 640
 
16.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 634
19.7%
3 422
13.1%
2 353
11.0%
1 314
9.8%
5 312
9.7%
6 306
9.5%
4 295
9.2%
8 226
 
7.0%
7 207
 
6.4%
9 148
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 640
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3858
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 640
16.6%
0 634
16.4%
3 422
10.9%
2 353
9.1%
1 314
8.1%
5 312
8.1%
6 306
7.9%
4 295
7.6%
8 226
 
5.9%
7 207
 
5.4%
Other values (2) 149
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 640
16.6%
0 634
16.4%
3 422
10.9%
2 353
9.1%
1 314
8.1%
5 312
8.1%
6 306
7.9%
4 295
7.6%
8 226
 
5.9%
7 207
 
5.4%
Other values (2) 149
 
3.9%

관리기관명
Text

Distinct236
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T16:52:01.810061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length10.638484
Min length3

Characters and Unicode

Total characters3649
Distinct characters146
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

Unique176 ?
Unique (%)51.3%

Sample

1st row전라북도 남원시 보건소
2nd row강원도 고성군보건소
3rd row강릉시보건소
4th row강원도 영월군청
5th row제주특별자치도 서귀포시 서귀포보건소
ValueCountFrequency (%)
보건소 99
 
13.4%
경기도 58
 
7.8%
서울특별시 22
 
3.0%
경상남도 19
 
2.6%
인천광역시 17
 
2.3%
충청남도 14
 
1.9%
광주광역시 14
 
1.9%
강원도 13
 
1.8%
화성시서부보건소 12
 
1.6%
전라북도 11
 
1.5%
Other values (228) 461
62.3%
2024-05-11T16:52:02.598976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
397
 
10.9%
건 297
 
8.1%
보 294
 
8.1%
소 283
 
7.8%
시 224
 
6.1%
도 177
 
4.9%
구 131
 
3.6%
경 92
 
2.5%
군 90
 
2.5%
광 88
 
2.4%
Other values (136) 1576
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3250
89.1%
Space Separator 397
 
10.9%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 297
 
9.1%
보 294
 
9.0%
소 283
 
8.7%
시 224
 
6.9%
도 177
 
5.4%
구 131
 
4.0%
경 92
 
2.8%
군 90
 
2.8%
광 88
 
2.7%
청 78
 
2.4%
Other values (133) 1496
46.0%
Space Separator
ValueCountFrequency (%)
397
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3250
89.1%
Common 399
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 297
 
9.1%
보 294
 
9.0%
소 283
 
8.7%
시 224
 
6.9%
도 177
 
5.4%
구 131
 
4.0%
경 92
 
2.8%
군 90
 
2.8%
광 88
 
2.7%
청 78
 
2.4%
Other values (133) 1496
46.0%
Common
ValueCountFrequency (%)
397
99.5%
) 1
 
0.3%
( 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3250
89.1%
ASCII 399
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
397
99.5%
) 1
 
0.3%
( 1
 
0.3%
Hangul
ValueCountFrequency (%)
건 297
 
9.1%
보 294
 
9.0%
소 283
 
8.7%
시 224
 
6.9%
도 177
 
5.4%
구 131
 
4.0%
경 92
 
2.8%
군 90
 
2.8%
광 88
 
2.7%
청 78
 
2.4%
Other values (133) 1496
46.0%

데이터기준일자
Date

Distinct153
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2017-04-20 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T16:52:02.811034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:52:03.029305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct223
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4396793
Minimum3000000
Maximum6540000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T16:52:03.261423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3111000
Q13625000
median4270000
Q35075000
95-th percentile6232000
Maximum6540000
Range3540000
Interquartile range (IQR)1450000

Descriptive statistics

Standard deviation904803.2
Coefficient of variation (CV)0.20578708
Kurtosis-0.57011714
Mean4396793
Median Absolute Deviation (MAD)680000
Skewness0.46575484
Sum1.5081 × 109
Variance8.1866883 × 1011
MonotonicityNot monotonic
2024-05-11T16:52:03.491806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5530000 17
 
5.0%
6520000 8
 
2.3%
3100000 7
 
2.0%
3990000 7
 
2.0%
3590000 6
 
1.7%
3510500 6
 
1.7%
3560000 6
 
1.7%
3740000 6
 
1.7%
6300000 5
 
1.5%
5670000 4
 
1.2%
Other values (213) 271
79.0%
ValueCountFrequency (%)
3000000 2
 
0.6%
3010000 1
 
0.3%
3020000 2
 
0.6%
3030000 1
 
0.3%
3040000 1
 
0.3%
3060000 1
 
0.3%
3070000 1
 
0.3%
3080000 1
 
0.3%
3100000 7
2.0%
3110000 1
 
0.3%
ValueCountFrequency (%)
6540000 1
 
0.3%
6520000 8
2.3%
6510000 2
 
0.6%
6450000 1
 
0.3%
6300000 5
1.5%
6290000 1
 
0.3%
5710000 4
1.2%
5700000 1
 
0.3%
5690000 1
 
0.3%
5680000 1
 
0.3%

제공기관명
Text

Distinct223
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T16:52:03.849604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.2594752
Min length4

Characters and Unicode

Total characters2833
Distinct characters126
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

Unique171 ?
Unique (%)49.9%

Sample

1st row전라북도 남원시
2nd row강원도 고성군
3rd row강원도 강릉시
4th row강원도 영월군
5th row제주특별자치도 서귀포시
ValueCountFrequency (%)
경기도 72
 
10.6%
서울특별시 32
 
4.7%
경상남도 22
 
3.2%
경상북도 21
 
3.1%
인천광역시 19
 
2.8%
충청남도 19
 
2.8%
전라남도 19
 
2.8%
부산광역시 17
 
2.5%
화성시 17
 
2.5%
강원도 16
 
2.4%
Other values (180) 423
62.5%
2024-05-11T16:52:04.338683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
334
 
11.8%
시 260
 
9.2%
도 235
 
8.3%
경 118
 
4.2%
구 114
 
4.0%
광 103
 
3.6%
군 91
 
3.2%
남 85
 
3.0%
역 78
 
2.8%
기 73
 
2.6%
Other values (116) 1342
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2499
88.2%
Space Separator 334
 
11.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 260
 
10.4%
도 235
 
9.4%
경 118
 
4.7%
구 114
 
4.6%
광 103
 
4.1%
군 91
 
3.6%
남 85
 
3.4%
역 78
 
3.1%
기 73
 
2.9%
특 71
 
2.8%
Other values (115) 1271
50.9%
Space Separator
ValueCountFrequency (%)
334
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2499
88.2%
Common 334
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 260
 
10.4%
도 235
 
9.4%
경 118
 
4.7%
구 114
 
4.6%
광 103
 
4.1%
군 91
 
3.6%
남 85
 
3.4%
역 78
 
3.1%
기 73
 
2.9%
특 71
 
2.8%
Other values (115) 1271
50.9%
Common
ValueCountFrequency (%)
334
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2499
88.2%
ASCII 334
 
11.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
334
100.0%
Hangul
ValueCountFrequency (%)
시 260
 
10.4%
도 235
 
9.4%
경 118
 
4.7%
구 114
 
4.6%
광 103
 
4.1%
군 91
 
3.6%
남 85
 
3.4%
역 78
 
3.1%
기 73
 
2.9%
특 71
 
2.8%
Other values (115) 1271
50.9%

Sample

건강증진센터명건강증진센터구분소재지도로명주소소재지지번주소위도경도건강증진업무내용운영시작시각운영종료시각휴무일정보건물면적의사수간호사수사회복지사수영양사수기타인력현황기타이용안내운영기관전화번호운영기관명관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
0남원시 보건소 주민건강증진센터건강증진전라북도 남원시 요천로 1285전라북도 남원시 조산동 45535.39784127.36399금연+절주+영양+신체활동+비만 등맞춤형 건강상담 및 교육09:0018:00토+일+공휴일214.560201간호조무사(1)+운동지도사(1)<NA>063-620-7987전라북도 남원시 보건소063-625-4000전라북도 남원시 보건소2022-11-304700000전라북도 남원시
1고성군정신건강복지센터정신보건강원도 고성군 간성읍 수성로 30강원도 고성군 간성읍 신안리 17838.377617128.472194자살예방+정신건강증진09:0018:00공휴일<NA>0410보건직(1)<NA>033-680-4001강원도 고성군보건소033-680-3541강원도 고성군보건소2022-12-014340000강원도 고성군
2남부건강생활지원센터건강증진강원도 강릉시 성덕포남로 80-22강원도 강릉시 입암동 5937.763249128.918837모바일헬스케어사업+소생활권맞춤형건강증진사업+심뇌혈관질환예방관리사업+한의약건강증진사업+건강한성덕동만들기09:0018:00공휴일1040.6741702운동처방사(2)+기타행정인력(2)<NA>033-660-2483강릉시보건소033-660-2483강릉시보건소2022-11-214200000강원도 강릉시
3영월군정신건강복지센터정신보건강원도 영월군 영월읍 하송로 46-43강원도 영월군 영월읍 하송리 236-237.185446128.461674정신건강증진+자살예방09:0018:00매주토요일+공휴일244.20530<NA>음주 하지 않은 상태033-370-2556직영033-372-4000강원도 영월군청2022-11-214270000강원도 영월군
4서귀포보건소 주민건강증진센터건강증진제주특별자치도 서귀포시 중앙로101번길 52(서홍동)제주특별자치도 서귀포시 서홍동 447-333.253426126.555363체력단련실(장애인전용)+체지방측정+건강상담09:0018:00토+일+공휴일483.150203생활체육지도자(1)방문간호팀 장애인 재활 프로그램실로 운영064-760-6063제주특별자치도 서귀포시 서귀포보건소064-760-6041제주특별자치도 서귀포시 서귀포보건소2023-12-016520000제주특별자치도 서귀포시
5서귀포보건소 정신건강복지센터정신보건제주특별자치도 서귀포시 중앙로101번길 52(서홍동)제주특별자치도 서귀포시 서홍동 447-333.253426126.555363재활프로그램+정신건강상담09:0018:00토+일+공휴일208.860380행정업무간호사(1)+간호조무사(1)<NA>064-760-6553제주특별자치도 서귀포시 서귀포보건소064-760-6553제주특별자치도 서귀포시 서귀포보건소2023-12-016520000제주특별자치도 서귀포시
6서귀포보건소 중독관리통합지원센터정신보건제주특별자치도 서귀포시 중앙로101번길 52(서홍동)제주특별자치도 서귀포시 서홍동 447-333.253426126.555363중독상담+재활프로그램09:0018:00토+일+공휴일208.860400행정업무간호사(1)+간호조무사(1)<NA>064-760-6552제주특별자치도 서귀포시 서귀포보건소064-760-6552제주특별자치도 서귀포시 서귀포보건소2023-12-016520000제주특별자치도 서귀포시
7서부보건소 건강증진센터건강증진제주특별자치도 서귀포시 대정읍 최남단해안로15번길 12제주특별자치도 서귀포시 대정읍 하모리 767-8번지33.218671126.253243체력단련실+체지방측정+건강상담09:0020:00토+일+공휴일213.90000운동지도사(1)<NA>064-760-6224제주특별자치도 서귀포시 서부보건소064-760-6224제주특별자치도 서귀포시 서부보건소2023-12-016520000제주특별자치도 서귀포시
8서부보건소 안덕보건지소 건강증진센터건강증진제주특별자치도 서귀포시 안덕면 화순중앙로12번길 30-9제주특별자치도 서귀포시 안덕면 화순리 1158-11번지33.250522126.3314체력단련실+체지방측정+건강상담09:0020:00토+일+공휴일<NA>0000운동지도사(1)<NA>064-760-6224제주특별자치도 서귀포시 서부보건소064-760-6224제주특별자치도 서귀포시 서부보건소2023-12-016520000제주특별자치도 서귀포시
9용인시정신건강복지센터정신보건경기도 용인시 기흥구 신갈로58번길 11, 신갈동행정복지센터 내 3층경기도 용인시 기흥구 신갈동 60-337.272634127.106729정신질환자관리+정신건강증진09:0018:00토+일+공휴일360.012017<NA>임상심리사(1)<NA>031-286-0949의료법인용인병원유지재단031-324-6946경기도 용인시 기흥구 보건소2023-12-014050000경기도 용인시
건강증진센터명건강증진센터구분소재지도로명주소소재지지번주소위도경도건강증진업무내용운영시작시각운영종료시각휴무일정보건물면적의사수간호사수사회복지사수영양사수기타인력현황기타이용안내운영기관전화번호운영기관명관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
333구미중독관리통합지원센터정신보건경상북도 구미시 검성로 115경상북도 구미시 황상동 11036.118572128.431403알코올, 도박, 인터넷, 약물 중독관리09:0018:00토+일+공휴일<NA>10501<NA>054-474-9791대구가톨릭사회복지재단054-480-4062경상북도 구미시 구미보건소2023-10-215080000경상북도 구미시
334제천시보건소 건강증진센터건강증진충청북도 제천시 의림대로 242충청북도 제천시 청전동 11037.149342128.216086건강상담 및 신체계측09:0018:00토요일+일요일+공휴일<NA>0201운동처방사(2)제천시민 누구나이용 가능, 무료043-641-3210제천시보건소043-646-2720충청북도 제천시보건소2023-10-174400000충청북도 제천시
335용두건강생활지원센터건강증진충청북도 제천시 용두대로17길8충청북도 제천시 하소동323-2437.142316128.200361신체활동사업+영양사업+구강보건사업+만성질환예방관리사업등09:0018:00토요일+일요일+공휴일305.290201팀장(1)+운동처방사(1)+치위생사(1)+청사관리(1)제천시민 누구나이용 가능, 무료043-641-3282제천시보건소043-646-2720충청북도 제천시보건소2023-10-174400000충청북도 제천시
336정신건강복지센터정신보건경상남도 거제시 수양로 506경상남도 거제시 양정동 98134.891688128.63656정신건강사업+자살예방사업09:0018:00주말+공휴일27002.01113<NA>작업치료사1<NA>055-639-6119<NA>055-639-6200경상남도 거제시청2023-10-165370000경상남도 거제시
337관악구정신건강복지센터정신보건서울특별시 관악구 관악로 145서울특별시 관악구 봉천동 1570-137.47821126.951503중증정신질환관리, 아동청소년정신건강관리, 정신건강증진, 자살예방사업09:0018:00토요일+일요일+공휴일189.1804110심리상담사(3)<NA>02-879-4911서울특별시 관악구 보건소02-879-7182서울특별시 관악구청2023-10-123200000서울특별시 관악구
338화성시정신건강복지센터(마인드스텝센터)건강증진경기도 화성시 봉담읍 효행로 212경기도 화성시 봉담읍 동화리 11-13번지37.228144126.966425아동청소년 정신질환 조기 검진 및 상담+집중사례관리+집단프로그램+부모 및 교사교육09:0018:00토요일+일요일+공휴일446.00050<NA><NA>031-352-0175사회복지법인)경산복지재단031-5189-3293경기도 화성시서부보건소2023-11-015530000경기도 화성시
339화성시정신건강복지센터(마도분소)건강증진경기도 화성시 마도면 마도북로 389경기도 화성시 마도면 석교리 243-2번지37.205486126.769645정신질환자 발굴 및 지역사회 복귀 지원+집중사례관리(서부권)+지역사회 재활프로그램(서부권)09:0018:00토요일+일요일+공휴일33.00030<NA><NA>031-352-0175사회복지법인)경산복지재단031-5189-3707경기도 화성시서부보건소2023-11-015530000경기도 화성시
340화성시정신건강복지센터(동탄분소)건강증진경기도 화성시 노작로 226-9경기도 화성시 석우동 60번지37.20707127.078601정신질환자 발굴 및 지역사회 복귀 지원+집중사례관리(동부권)09:0018:00토요일+일요일+공휴일56.00160<NA><NA>031-352-0175사회복지법인)경산복지재단031-5189-3707경기도 화성시서부보건소2023-11-015530000경기도 화성시
341화성시정신건강복지센터 부설 자살예방센터(T.T ZONE)건강증진경기도 화성시 동탄대로8길 36경기도 화성시 산척동 726번지37.170548127.110457자살고위험군 위기상담 및 등록 사례관리+생명존중문화 확산을 위한 교육 및 홍보+T.T ZONE 운영09:0018:00토요일+일요일+공휴일497.002100<NA><NA>031-352-0175사회복지법인)경산복지재단031-5189-3293경기도 화성시서부보건소2023-11-015530000경기도 화성시
342화성시중독관리통합지원센터(정남)정신보건경기도 화성시 정남면 서봉로 998경기도 화성시 정남면 신리 260-1번지37.160273126.97111중독질환자 사례관리+중독회복프로그램+생애주기별중독폐해예방09:0018:00토요일+일요일+공휴일125.00150<NA><NA>031-354-6614경산복지재단031-5189-6263경기도 화성시서부보건소2023-11-015530000경기도 화성시