Overview

Dataset statistics

Number of variables23
Number of observations346
Missing cells478
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.7 KiB
Average record size in memory188.4 B

Variable types

Text15
Categorical2
DateTime3
Numeric3

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/15021138/standard.do

Alerts

치매센터유형 is highly imbalanced (84.9%)Imbalance
소재지지번주소 has 27 (7.8%) missing valuesMissing
건축물면적 has 36 (10.4%) missing valuesMissing
부대시설정보 has 88 (25.4%) missing valuesMissing
기타인원현황 has 28 (8.1%) missing valuesMissing
운영위탁일자 has 262 (75.7%) missing valuesMissing
관리기관전화번호 has 35 (10.1%) missing valuesMissing
간호사인원수 has 5 (1.4%) zerosZeros
사회복지사인원수 has 37 (10.7%) zerosZeros

Reproduction

Analysis started2024-04-21 03:04:15.814349
Analysis finished2024-04-21 03:04:17.070251
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

치매센터명
Text

Distinct287
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T12:04:17.229141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length10.520231
Min length6

Characters and Unicode

Total characters3640
Distinct characters183
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

Unique235 ?
Unique (%)67.9%

Sample

1st row영월군 치매안심센터
2nd row영등포구치매안심센터
3rd row청양군치매안심센터
4th row하동군치매안심센터
5th row강원특별자치도동해시치매안심센터
ValueCountFrequency (%)
치매안심센터 83
 
17.3%
부산광역시 5
 
1.0%
서구치매안심센터 4
 
0.8%
충청북도 4
 
0.8%
중구치매안심센터 4
 
0.8%
청주시 4
 
0.8%
사하구 3
 
0.6%
동구 3
 
0.6%
치매상담센터 3
 
0.6%
포천시치매안심센터 3
 
0.6%
Other values (298) 365
75.9%
2024-04-21T12:04:17.553125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 344
 
9.5%
터 342
 
9.4%
센 340
 
9.3%
매 338
 
9.3%
안 335
 
9.2%
심 315
 
8.7%
시 138
 
3.8%
135
 
3.7%
군 119
 
3.3%
구 112
 
3.1%
Other values (173) 1122
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3471
95.4%
Space Separator 135
 
3.7%
Open Punctuation 17
 
0.5%
Close Punctuation 17
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 344
 
9.9%
터 342
 
9.9%
센 340
 
9.8%
매 338
 
9.7%
안 335
 
9.7%
심 315
 
9.1%
시 138
 
4.0%
군 119
 
3.4%
구 112
 
3.2%
소 48
 
1.4%
Other values (168) 1040
30.0%
Open Punctuation
ValueCountFrequency (%)
( 13
76.5%
[ 4
 
23.5%
Close Punctuation
ValueCountFrequency (%)
) 13
76.5%
] 4
 
23.5%
Space Separator
ValueCountFrequency (%)
135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3471
95.4%
Common 169
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 344
 
9.9%
터 342
 
9.9%
센 340
 
9.8%
매 338
 
9.7%
안 335
 
9.7%
심 315
 
9.1%
시 138
 
4.0%
군 119
 
3.4%
구 112
 
3.2%
소 48
 
1.4%
Other values (168) 1040
30.0%
Common
ValueCountFrequency (%)
135
79.9%
( 13
 
7.7%
) 13
 
7.7%
[ 4
 
2.4%
] 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3471
95.4%
ASCII 169
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 344
 
9.9%
터 342
 
9.9%
센 340
 
9.8%
매 338
 
9.7%
안 335
 
9.7%
심 315
 
9.1%
시 138
 
4.0%
군 119
 
3.4%
구 112
 
3.2%
소 48
 
1.4%
Other values (168) 1040
30.0%
ASCII
ValueCountFrequency (%)
135
79.9%
( 13
 
7.7%
) 13
 
7.7%
[ 4
 
2.4%
] 4
 
2.4%

치매센터유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
치매안심센터
334 
광역치매센터
 
10
치매상담전화센터
 
2

Length

Max length8
Median length6
Mean length6.0115607
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
치매안심센터 334
96.5%
광역치매센터 10
 
2.9%
치매상담전화센터 2
 
0.6%

Length

2024-04-21T12:04:17.678365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:04:17.774336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치매안심센터 334
96.5%
광역치매센터 10
 
2.9%
치매상담전화센터 2
 
0.6%

소재지도로명주소
Text

Distinct317
Distinct (%)92.2%
Missing2
Missing (%)0.6%
Memory size2.8 KiB
2024-04-21T12:04:17.963926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length38
Mean length21.44186
Min length14

Characters and Unicode

Total characters7376
Distinct characters294
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

Unique290 ?
Unique (%)84.3%

Sample

1st row강원도 영월군 영월읍 하송로 46-43
2nd row서울특별시 영등포구 당산로 29길 9
3rd row충청남도 청양군 청양읍 칠갑산로 7길 54
4th row경상남도 하동군 횡천면 경서대로 1189
5th row강원특별자치도 동해시 발한로 227 동해시치매안심센터 1층
ValueCountFrequency (%)
경기도 53
 
3.2%
전라남도 45
 
2.7%
경상북도 27
 
1.6%
서울특별시 25
 
1.5%
경상남도 22
 
1.3%
강원도 20
 
1.2%
부산광역시 19
 
1.2%
전라북도 18
 
1.1%
강원특별자치도 16
 
1.0%
충청남도 15
 
0.9%
Other values (907) 1392
84.3%
2024-04-21T12:04:18.325158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1308
 
17.7%
로 284
 
3.9%
도 263
 
3.6%
시 248
 
3.4%
1 235
 
3.2%
2 166
 
2.3%
구 147
 
2.0%
3 138
 
1.9%
군 136
 
1.8%
읍 135
 
1.8%
Other values (284) 4316
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4756
64.5%
Space Separator 1308
 
17.7%
Decimal Number 1137
 
15.4%
Dash Punctuation 55
 
0.7%
Other Punctuation 43
 
0.6%
Open Punctuation 37
 
0.5%
Close Punctuation 36
 
0.5%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 284
 
6.0%
도 263
 
5.5%
시 248
 
5.2%
구 147
 
3.1%
군 136
 
2.9%
읍 135
 
2.8%
남 123
 
2.6%
길 121
 
2.5%
경 112
 
2.4%
전 98
 
2.1%
Other values (267) 3089
64.9%
Decimal Number
ValueCountFrequency (%)
1 235
20.7%
2 166
14.6%
3 138
12.1%
5 106
9.3%
4 100
8.8%
0 95
8.4%
8 79
 
6.9%
7 75
 
6.6%
6 73
 
6.4%
9 70
 
6.2%
Math Symbol
ValueCountFrequency (%)
+ 3
75.0%
~ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4756
64.5%
Common 2620
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 284
 
6.0%
도 263
 
5.5%
시 248
 
5.2%
구 147
 
3.1%
군 136
 
2.9%
읍 135
 
2.8%
남 123
 
2.6%
길 121
 
2.5%
경 112
 
2.4%
전 98
 
2.1%
Other values (267) 3089
64.9%
Common
ValueCountFrequency (%)
1308
49.9%
1 235
 
9.0%
2 166
 
6.3%
3 138
 
5.3%
5 106
 
4.0%
4 100
 
3.8%
0 95
 
3.6%
8 79
 
3.0%
7 75
 
2.9%
6 73
 
2.8%
Other values (7) 245
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4756
64.5%
ASCII 2620
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1308
49.9%
1 235
 
9.0%
2 166
 
6.3%
3 138
 
5.3%
5 106
 
4.0%
4 100
 
3.8%
0 95
 
3.6%
8 79
 
3.0%
7 75
 
2.9%
6 73
 
2.8%
Other values (7) 245
 
9.4%
Hangul
ValueCountFrequency (%)
로 284
 
6.0%
도 263
 
5.5%
시 248
 
5.2%
구 147
 
3.1%
군 136
 
2.9%
읍 135
 
2.8%
남 123
 
2.6%
길 121
 
2.5%
경 112
 
2.4%
전 98
 
2.1%
Other values (267) 3089
64.9%

소재지지번주소
Text

MISSING 

Distinct290
Distinct (%)90.9%
Missing27
Missing (%)7.8%
Memory size2.8 KiB
2024-04-21T12:04:18.666723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30
Mean length20.326019
Min length14

Characters and Unicode

Total characters6484
Distinct characters244
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

Unique261 ?
Unique (%)81.8%

Sample

1st row강원도 영월군 영월읍 하송리 236-2
2nd row서울특별시 영등포구 당산동3가 407
3rd row충청남도 청양군 청양읍 읍내리 261-1
4th row경상남도 하동군 횡천면 횡천리 575-3
5th row강원특별자치도 동해시 발한동 17-9
ValueCountFrequency (%)
경기도 52
 
3.6%
전라남도 43
 
3.0%
경상북도 24
 
1.7%
서울특별시 22
 
1.5%
경상남도 21
 
1.4%
부산광역시 19
 
1.3%
강원도 18
 
1.2%
전라북도 16
 
1.1%
충청남도 15
 
1.0%
충청북도 14
 
1.0%
Other values (848) 1210
83.2%
2024-04-21T12:04:19.112643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1135
 
17.5%
1 260
 
4.0%
도 254
 
3.9%
- 229
 
3.5%
시 223
 
3.4%
동 222
 
3.4%
3 145
 
2.2%
2 139
 
2.1%
리 139
 
2.1%
구 132
 
2.0%
Other values (234) 3606
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3860
59.5%
Decimal Number 1246
 
19.2%
Space Separator 1135
 
17.5%
Dash Punctuation 229
 
3.5%
Other Punctuation 9
 
0.1%
Math Symbol 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 254
 
6.6%
시 223
 
5.8%
동 222
 
5.8%
리 139
 
3.6%
구 132
 
3.4%
읍 130
 
3.4%
남 121
 
3.1%
군 116
 
3.0%
경 102
 
2.6%
전 89
 
2.3%
Other values (217) 2332
60.4%
Decimal Number
ValueCountFrequency (%)
1 260
20.9%
3 145
11.6%
2 139
11.2%
6 113
9.1%
4 113
9.1%
5 109
8.7%
0 109
8.7%
7 94
 
7.5%
8 91
 
7.3%
9 73
 
5.9%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
1135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 229
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3860
59.5%
Common 2624
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 254
 
6.6%
시 223
 
5.8%
동 222
 
5.8%
리 139
 
3.6%
구 132
 
3.4%
읍 130
 
3.4%
남 121
 
3.1%
군 116
 
3.0%
경 102
 
2.6%
전 89
 
2.3%
Other values (217) 2332
60.4%
Common
ValueCountFrequency (%)
1135
43.3%
1 260
 
9.9%
- 229
 
8.7%
3 145
 
5.5%
2 139
 
5.3%
6 113
 
4.3%
4 113
 
4.3%
5 109
 
4.2%
0 109
 
4.2%
7 94
 
3.6%
Other values (7) 178
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3860
59.5%
ASCII 2624
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1135
43.3%
1 260
 
9.9%
- 229
 
8.7%
3 145
 
5.5%
2 139
 
5.3%
6 113
 
4.3%
4 113
 
4.3%
5 109
 
4.2%
0 109
 
4.2%
7 94
 
3.6%
Other values (7) 178
 
6.8%
Hangul
ValueCountFrequency (%)
도 254
 
6.6%
시 223
 
5.8%
동 222
 
5.8%
리 139
 
3.6%
구 132
 
3.4%
읍 130
 
3.4%
남 121
 
3.1%
군 116
 
3.0%
경 102
 
2.6%
전 89
 
2.3%
Other values (217) 2332
60.4%

위도
Text

Distinct306
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T12:04:19.343390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.615607
Min length9

Characters and Unicode

Total characters3673
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

Unique266 ?
Unique (%)76.9%

Sample

1st row37.18544643
2nd row37.525994
3rd row36.45501978
4th row35.1097955
5th row37.5495162
ValueCountFrequency (%)
37.18544643 2
 
0.6%
37.32470828 2
 
0.6%
35.92145499 2
 
0.6%
35.21607284 2
 
0.6%
35.81213116 2
 
0.6%
35.27886716 2
 
0.6%
37.44374981 2
 
0.6%
35.81584604 2
 
0.6%
38.10734123 2
 
0.6%
35.94545821 2
 
0.6%
Other values (296) 326
94.2%
2024-04-21T12:04:19.689257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 634
17.3%
5 387
10.5%
7 360
9.8%
. 347
9.4%
6 336
9.1%
4 327
8.9%
9 276
7.5%
8 275
7.5%
2 262
7.1%
1 259
7.1%
Other values (2) 210
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3325
90.5%
Other Punctuation 347
 
9.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 634
19.1%
5 387
11.6%
7 360
10.8%
6 336
10.1%
4 327
9.8%
9 276
8.3%
8 275
8.3%
2 262
7.9%
1 259
7.8%
0 209
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 347
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3673
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 634
17.3%
5 387
10.5%
7 360
9.8%
. 347
9.4%
6 336
9.1%
4 327
8.9%
9 276
7.5%
8 275
7.5%
2 262
7.1%
1 259
7.1%
Other values (2) 210
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 634
17.3%
5 387
10.5%
7 360
9.8%
. 347
9.4%
6 336
9.1%
4 327
8.9%
9 276
7.5%
8 275
7.5%
2 262
7.1%
1 259
7.1%
Other values (2) 210
 
5.7%

경도
Text

Distinct306
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T12:04:19.926767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.965318
Min length10

Characters and Unicode

Total characters3794
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

Unique266 ?
Unique (%)76.9%

Sample

1st row128.461674
2nd row126.893979
3rd row126.8049308
4th row127.815102
5th row129.1081409
ValueCountFrequency (%)
128.461674 2
 
0.6%
127.924847 2
 
0.6%
126.7757100266 2
 
0.6%
127.2869773 2
 
0.6%
126.7033414 2
 
0.6%
128.4721409 2
 
0.6%
128.8827493 2
 
0.6%
127.709121 2
 
0.6%
127.1436245 2
 
0.6%
127.1433514 2
 
0.6%
Other values (296) 326
94.2%
2024-04-21T12:04:20.307671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 587
15.5%
1 586
15.4%
7 382
10.1%
. 346
9.1%
6 341
9.0%
8 297
7.8%
9 285
7.5%
3 257
6.8%
4 252
6.6%
5 234
 
6.2%
Other values (2) 227
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3447
90.9%
Other Punctuation 346
 
9.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 587
17.0%
1 586
17.0%
7 382
11.1%
6 341
9.9%
8 297
8.6%
9 285
8.3%
3 257
7.5%
4 252
7.3%
5 234
 
6.8%
0 226
 
6.6%
Other Punctuation
ValueCountFrequency (%)
. 346
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3794
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 587
15.5%
1 586
15.4%
7 382
10.1%
. 346
9.1%
6 341
9.0%
8 297
7.8%
9 285
7.5%
3 257
6.8%
4 252
6.6%
5 234
 
6.2%
Other values (2) 227
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 587
15.5%
1 586
15.4%
7 382
10.1%
. 346
9.1%
6 341
9.0%
8 297
7.8%
9 285
7.5%
3 257
6.8%
4 252
6.6%
5 234
 
6.2%
Other values (2) 227
 
6.0%

설립연월
Date

Distinct95
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2000-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-04-21T12:04:20.430433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:04:20.577513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

건축물면적
Text

MISSING 

Distinct262
Distinct (%)84.5%
Missing36
Missing (%)10.4%
Memory size2.8 KiB
2024-04-21T12:04:20.808919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length4.6064516
Min length2

Characters and Unicode

Total characters1428
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

Unique219 ?
Unique (%)70.6%

Sample

1st row462
2nd row854.21
3rd row381.86
4th row540
5th row348.25
ValueCountFrequency (%)
309 5
 
1.6%
165 3
 
1.0%
495 3
 
1.0%
469.08 2
 
0.6%
462 2
 
0.6%
649.3 2
 
0.6%
500 2
 
0.6%
1311 2
 
0.6%
956.7 2
 
0.6%
876.7 2
 
0.6%
Other values (252) 285
91.9%
2024-04-21T12:04:21.183500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 167
11.7%
4 166
11.6%
3 142
9.9%
5 136
9.5%
2 133
9.3%
8 129
9.0%
9 128
9.0%
6 123
8.6%
1 111
7.8%
7 102
7.1%
Other values (2) 91
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1260
88.2%
Other Punctuation 167
 
11.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 166
13.2%
3 142
11.3%
5 136
10.8%
2 133
10.6%
8 129
10.2%
9 128
10.2%
6 123
9.8%
1 111
8.8%
7 102
8.1%
0 90
7.1%
Other Punctuation
ValueCountFrequency (%)
. 167
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1428
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 167
11.7%
4 166
11.6%
3 142
9.9%
5 136
9.5%
2 133
9.3%
8 129
9.0%
9 128
9.0%
6 123
8.6%
1 111
7.8%
7 102
7.1%
Other values (2) 91
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 167
11.7%
4 166
11.6%
3 142
9.9%
5 136
9.5%
2 133
9.3%
8 129
9.0%
9 128
9.0%
6 123
8.6%
1 111
7.8%
7 102
7.1%
Other values (2) 91
6.4%

부대시설정보
Text

MISSING 

Distinct213
Distinct (%)82.6%
Missing88
Missing (%)25.4%
Memory size2.8 KiB
2024-04-21T12:04:21.357061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length52
Mean length31.79845
Min length2

Characters and Unicode

Total characters8204
Distinct characters191
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)67.4%

Sample

1st row사무실+진료실+검진실+상담실+교육실+쉼터(프로그램실)+카페
2nd row검사실(4)+진료실(1)+프로그램실(5)+쉼터(2)+카페(1)+사무실(1)+화장실 각층(3)
3rd row검진실+사무실+프로그램실
4th row상담실+사무실+가족카페+프로그램운영실+치매환자쉼터
5th row가족카페
ValueCountFrequency (%)
등 28
 
7.7%
사무실 11
 
3.0%
가족카페 10
 
2.8%
검진실 8
 
2.2%
프로그램실 7
 
1.9%
상담실 6
 
1.7%
사무실+상담실+검진실+프로그램실+치매카페+쉼터 3
 
0.8%
치매안심센터운영 3
 
0.8%
사무실+검진실 3
 
0.8%
사무실+프로그램실 2
 
0.6%
Other values (240) 282
77.7%
2024-04-21T12:04:21.651994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 1006
 
12.3%
실 944
 
11.5%
( 762
 
9.3%
) 762
 
9.3%
1 568
 
6.9%
사 267
 
3.3%
무 219
 
2.7%
진 184
 
2.2%
로 177
 
2.2%
검 169
 
2.1%
Other values (181) 3146
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4697
57.3%
Math Symbol 1006
 
12.3%
Decimal Number 808
 
9.8%
Open Punctuation 762
 
9.3%
Close Punctuation 762
 
9.3%
Space Separator 105
 
1.3%
Other Punctuation 55
 
0.7%
Uppercase Letter 7
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 944
20.1%
사 267
 
5.7%
무 219
 
4.7%
진 184
 
3.9%
로 177
 
3.8%
검 169
 
3.6%
프 166
 
3.5%
그 166
 
3.5%
램 166
 
3.5%
상 160
 
3.4%
Other values (159) 2079
44.3%
Decimal Number
ValueCountFrequency (%)
1 568
70.3%
2 139
 
17.2%
3 59
 
7.3%
4 27
 
3.3%
5 9
 
1.1%
9 4
 
0.5%
7 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 48
87.3%
/ 3
 
5.5%
. 2
 
3.6%
? 1
 
1.8%
· 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
A 2
28.6%
Y 1
14.3%
P 1
14.3%
C 1
14.3%
Math Symbol
ValueCountFrequency (%)
+ 1006
100.0%
Open Punctuation
ValueCountFrequency (%)
( 762
100.0%
Close Punctuation
ValueCountFrequency (%)
) 762
100.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4697
57.3%
Common 3500
42.7%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 944
20.1%
사 267
 
5.7%
무 219
 
4.7%
진 184
 
3.9%
로 177
 
3.8%
검 169
 
3.6%
프 166
 
3.5%
그 166
 
3.5%
램 166
 
3.5%
상 160
 
3.4%
Other values (159) 2079
44.3%
Common
ValueCountFrequency (%)
+ 1006
28.7%
( 762
21.8%
) 762
21.8%
1 568
16.2%
2 139
 
4.0%
105
 
3.0%
3 59
 
1.7%
, 48
 
1.4%
4 27
 
0.8%
5 9
 
0.3%
Other values (7) 15
 
0.4%
Latin
ValueCountFrequency (%)
B 2
28.6%
A 2
28.6%
Y 1
14.3%
P 1
14.3%
C 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4697
57.3%
ASCII 3504
42.7%
CJK Compat 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 1006
28.7%
( 762
21.7%
) 762
21.7%
1 568
16.2%
2 139
 
4.0%
105
 
3.0%
3 59
 
1.7%
, 48
 
1.4%
4 27
 
0.8%
5 9
 
0.3%
Other values (10) 19
 
0.5%
Hangul
ValueCountFrequency (%)
실 944
20.1%
사 267
 
5.7%
무 219
 
4.7%
진 184
 
3.9%
로 177
 
3.8%
검 169
 
3.6%
프 166
 
3.5%
그 166
 
3.5%
램 166
 
3.5%
상 160
 
3.4%
Other values (159) 2079
44.3%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

의사인원수
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
0
162 
1
138 
2
35 
3
 
9
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 162
46.8%
1 138
39.9%
2 35
 
10.1%
3 9
 
2.6%
4 2
 
0.6%

Length

2024-04-21T12:04:21.762652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:04:21.849355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 162
46.8%
1 138
39.9%
2 35
 
10.1%
3 9
 
2.6%
4 2
 
0.6%

간호사인원수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9075145
Minimum0
Maximum32
Zeros5
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-21T12:04:21.939557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.25
Q15
median7
Q310
95-th percentile14
Maximum32
Range32
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.4006062
Coefficient of variation (CV)0.55650941
Kurtosis3.389802
Mean7.9075145
Median Absolute Deviation (MAD)3
Skewness1.0820812
Sum2736
Variance19.365335
MonotonicityNot monotonic
2024-04-21T12:04:22.069659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7 45
13.0%
10 34
9.8%
4 30
 
8.7%
8 30
 
8.7%
9 29
 
8.4%
5 25
 
7.2%
6 24
 
6.9%
13 18
 
5.2%
3 18
 
5.2%
11 17
 
4.9%
Other values (14) 76
22.0%
ValueCountFrequency (%)
0 5
 
1.4%
1 13
 
3.8%
2 14
 
4.0%
3 18
 
5.2%
4 30
8.7%
5 25
7.2%
6 24
6.9%
7 45
13.0%
8 30
8.7%
9 29
8.4%
ValueCountFrequency (%)
32 1
 
0.3%
26 2
 
0.6%
22 1
 
0.3%
21 1
 
0.3%
20 1
 
0.3%
18 1
 
0.3%
17 2
 
0.6%
16 4
 
1.2%
15 4
 
1.2%
14 14
4.0%

사회복지사인원수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4277457
Minimum0
Maximum12
Zeros37
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-21T12:04:22.169064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8262924
Coefficient of variation (CV)0.75225853
Kurtosis4.1130118
Mean2.4277457
Median Absolute Deviation (MAD)1
Skewness1.4130234
Sum840
Variance3.3353439
MonotonicityNot monotonic
2024-04-21T12:04:22.259201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 84
24.3%
2 76
22.0%
3 73
21.1%
0 37
10.7%
4 37
10.7%
5 19
 
5.5%
6 12
 
3.5%
7 4
 
1.2%
9 2
 
0.6%
12 2
 
0.6%
ValueCountFrequency (%)
0 37
10.7%
1 84
24.3%
2 76
22.0%
3 73
21.1%
4 37
10.7%
5 19
 
5.5%
6 12
 
3.5%
7 4
 
1.2%
9 2
 
0.6%
12 2
 
0.6%
ValueCountFrequency (%)
12 2
 
0.6%
9 2
 
0.6%
7 4
 
1.2%
6 12
 
3.5%
5 19
 
5.5%
4 37
10.7%
3 73
21.1%
2 76
22.0%
1 84
24.3%
0 37
10.7%

기타인원현황
Text

MISSING 

Distinct195
Distinct (%)61.3%
Missing28
Missing (%)8.1%
Memory size2.8 KiB
2024-04-21T12:04:22.417713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length41
Mean length14.389937
Min length1

Characters and Unicode

Total characters4576
Distinct characters135
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

Unique158 ?
Unique (%)49.7%

Sample

1st row작업치료사(2)+총괄(1)
2nd row작업치료사(5)+음악치료사(1)+운동처방사(1)+행정요원(1)
3rd row작업치료사(2), 행정(1)
4th row작업치료사(2)+송영일반(1)
5th row작업치료사(1)+송영및쉼터보조인력(1)
ValueCountFrequency (%)
작업치료사(1 25
 
7.1%
작업치료사(2 21
 
6.0%
작업치료사(3 13
 
3.7%
1 8
 
2.3%
4 8
 
2.3%
2 6
 
1.7%
3 6
 
1.7%
0 6
 
1.7%
작업치료사(2)+임상심리사(1 6
 
1.7%
5 5
 
1.4%
Other values (195) 247
70.4%
2024-04-21T12:04:22.732505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 537
11.7%
) 537
11.7%
사 412
 
9.0%
치 290
 
6.3%
1 276
 
6.0%
료 274
 
6.0%
+ 272
 
5.9%
업 243
 
5.3%
작 241
 
5.3%
2 179
 
3.9%
Other values (125) 1315
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2557
55.9%
Decimal Number 616
 
13.5%
Open Punctuation 537
 
11.7%
Close Punctuation 537
 
11.7%
Math Symbol 272
 
5.9%
Space Separator 33
 
0.7%
Other Punctuation 22
 
0.5%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 412
16.1%
치 290
11.3%
료 274
 
10.7%
업 243
 
9.5%
작 241
 
9.4%
리 95
 
3.7%
정 79
 
3.1%
상 77
 
3.0%
행 73
 
2.9%
임 69
 
2.7%
Other values (109) 704
27.5%
Decimal Number
ValueCountFrequency (%)
1 276
44.8%
2 179
29.1%
3 72
 
11.7%
4 39
 
6.3%
5 18
 
2.9%
6 14
 
2.3%
0 9
 
1.5%
7 5
 
0.8%
9 2
 
0.3%
8 2
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 537
100.0%
Close Punctuation
ValueCountFrequency (%)
) 537
100.0%
Math Symbol
ValueCountFrequency (%)
+ 272
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2557
55.9%
Common 2019
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 412
16.1%
치 290
11.3%
료 274
 
10.7%
업 243
 
9.5%
작 241
 
9.4%
리 95
 
3.7%
정 79
 
3.1%
상 77
 
3.0%
행 73
 
2.9%
임 69
 
2.7%
Other values (109) 704
27.5%
Common
ValueCountFrequency (%)
( 537
26.6%
) 537
26.6%
1 276
13.7%
+ 272
13.5%
2 179
 
8.9%
3 72
 
3.6%
4 39
 
1.9%
33
 
1.6%
, 22
 
1.1%
5 18
 
0.9%
Other values (6) 34
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2557
55.9%
ASCII 2019
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 537
26.6%
) 537
26.6%
1 276
13.7%
+ 272
13.5%
2 179
 
8.9%
3 72
 
3.6%
4 39
 
1.9%
33
 
1.6%
, 22
 
1.1%
5 18
 
0.9%
Other values (6) 34
 
1.7%
Hangul
ValueCountFrequency (%)
사 412
16.1%
치 290
11.3%
료 274
 
10.7%
업 243
 
9.5%
작 241
 
9.4%
리 95
 
3.7%
정 79
 
3.1%
상 77
 
3.0%
행 73
 
2.9%
임 69
 
2.7%
Other values (109) 704
27.5%

운영기관명
Text

Distinct300
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T12:04:22.937074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length8.7109827
Min length2

Characters and Unicode

Total characters3014
Distinct characters179
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

Unique259 ?
Unique (%)74.9%

Sample

1st row강원도 영월군 보건소
2nd row한림대학교 강남성심병원
3rd row청양군보건의료원
4th row경상남도 하동군 보건소
5th row동해시치매안심센터
ValueCountFrequency (%)
보건소 39
 
7.1%
전라남도 25
 
4.5%
경기도 15
 
2.7%
부산광역시 11
 
2.0%
치매안심센터 10
 
1.8%
제주특별자치도 9
 
1.6%
강원도 9
 
1.6%
서귀포시 7
 
1.3%
인천광역시 6
 
1.1%
보건의료원 5
 
0.9%
Other values (299) 415
75.3%
2024-04-21T12:04:23.273152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 253
 
8.4%
건 252
 
8.4%
소 231
 
7.7%
205
 
6.8%
시 155
 
5.1%
군 113
 
3.7%
도 92
 
3.1%
구 90
 
3.0%
원 74
 
2.5%
치 54
 
1.8%
Other values (169) 1495
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2801
92.9%
Space Separator 205
 
6.8%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 253
 
9.0%
건 252
 
9.0%
소 231
 
8.2%
시 155
 
5.5%
군 113
 
4.0%
도 92
 
3.3%
구 90
 
3.2%
원 74
 
2.6%
치 54
 
1.9%
안 54
 
1.9%
Other values (166) 1433
51.2%
Space Separator
ValueCountFrequency (%)
205
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2801
92.9%
Common 213
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 253
 
9.0%
건 252
 
9.0%
소 231
 
8.2%
시 155
 
5.5%
군 113
 
4.0%
도 92
 
3.3%
구 90
 
3.2%
원 74
 
2.6%
치 54
 
1.9%
안 54
 
1.9%
Other values (166) 1433
51.2%
Common
ValueCountFrequency (%)
205
96.2%
( 4
 
1.9%
) 4
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2801
92.9%
ASCII 213
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 253
 
9.0%
건 252
 
9.0%
소 231
 
8.2%
시 155
 
5.5%
군 113
 
4.0%
도 92
 
3.3%
구 90
 
3.2%
원 74
 
2.6%
치 54
 
1.9%
안 54
 
1.9%
Other values (166) 1433
51.2%
ASCII
ValueCountFrequency (%)
205
96.2%
( 4
 
1.9%
) 4
 
1.9%

운영기관대표자명
Text

Distinct278
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T12:04:23.496923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.1907514
Min length2

Characters and Unicode

Total characters1104
Distinct characters154
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

Unique222 ?
Unique (%)64.2%

Sample

1st row호희남
2nd row정산
3rd row김상경
4th row이종문
5th row최식순
ValueCountFrequency (%)
보건소장 7
 
2.0%
김복덕 3
 
0.9%
포천시보건소장 3
 
0.9%
김미숙 3
 
0.9%
최영성 3
 
0.9%
강은아 3
 
0.9%
이찬녕 3
 
0.9%
박승아 3
 
0.9%
방효설 3
 
0.9%
김동진 2
 
0.6%
Other values (270) 316
90.5%
2024-04-21T12:04:23.821556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 70
 
6.3%
이 39
 
3.5%
정 37
 
3.4%
박 34
 
3.1%
영 33
 
3.0%
숙 30
 
2.7%
희 25
 
2.3%
미 25
 
2.3%
장 24
 
2.2%
경 23
 
2.1%
Other values (144) 764
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1093
99.0%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Space Separator 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 70
 
6.4%
이 39
 
3.6%
정 37
 
3.4%
박 34
 
3.1%
영 33
 
3.0%
숙 30
 
2.7%
희 25
 
2.3%
미 25
 
2.3%
장 24
 
2.2%
경 23
 
2.1%
Other values (141) 753
68.9%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1093
99.0%
Common 11
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 70
 
6.4%
이 39
 
3.6%
정 37
 
3.4%
박 34
 
3.1%
영 33
 
3.0%
숙 30
 
2.7%
희 25
 
2.3%
미 25
 
2.3%
장 24
 
2.2%
경 23
 
2.1%
Other values (141) 753
68.9%
Common
ValueCountFrequency (%)
) 4
36.4%
( 4
36.4%
3
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1093
99.0%
ASCII 11
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 70
 
6.4%
이 39
 
3.6%
정 37
 
3.4%
박 34
 
3.1%
영 33
 
3.0%
숙 30
 
2.7%
희 25
 
2.3%
미 25
 
2.3%
장 24
 
2.2%
경 23
 
2.1%
Other values (141) 753
68.9%
ASCII
ValueCountFrequency (%)
) 4
36.4%
( 4
36.4%
3
27.3%

운영기관전화번호
Text

Distinct289
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T12:04:24.035242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.99422
Min length11

Characters and Unicode

Total characters4150
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

Unique234 ?
Unique (%)67.6%

Sample

1st row033-370-2774
2nd row02-831-0855
3rd row041-940-4500
4th row055-880-6850
5th row033-530-2426
ValueCountFrequency (%)
031-887-3691 3
 
0.9%
02-991-9830 3
 
0.9%
063-290-4373 2
 
0.6%
061-659-5440 2
 
0.6%
033-430-4055 2
 
0.6%
033-370-2774 2
 
0.6%
033-680-3798 2
 
0.6%
033-639-2778 2
 
0.6%
061-380-2971 2
 
0.6%
033-570-4327 2
 
0.6%
Other values (279) 324
93.6%
2024-04-21T12:04:24.368258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 734
17.7%
- 692
16.7%
3 438
10.6%
5 353
8.5%
1 328
7.9%
6 324
7.8%
4 319
7.7%
2 278
 
6.7%
8 266
 
6.4%
7 233
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3458
83.3%
Dash Punctuation 692
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 734
21.2%
3 438
12.7%
5 353
10.2%
1 328
9.5%
6 324
9.4%
4 319
9.2%
2 278
 
8.0%
8 266
 
7.7%
7 233
 
6.7%
9 185
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 692
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4150
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 734
17.7%
- 692
16.7%
3 438
10.6%
5 353
8.5%
1 328
7.9%
6 324
7.8%
4 319
7.7%
2 278
 
6.7%
8 266
 
6.4%
7 233
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 734
17.7%
- 692
16.7%
3 438
10.6%
5 353
8.5%
1 328
7.9%
6 324
7.8%
4 319
7.7%
2 278
 
6.7%
8 266
 
6.4%
7 233
 
5.6%

운영위탁일자
Date

MISSING 

Distinct61
Distinct (%)72.6%
Missing262
Missing (%)75.7%
Memory size2.8 KiB
Minimum2008-03-27 00:00:00
Maximum2024-01-01 00:00:00
2024-04-21T12:04:24.675813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:04:24.795523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주요치매관리프로그램소개
Text

Distinct274
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T12:04:24.986637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length216
Median length97
Mean length53.705202
Min length4

Characters and Unicode

Total characters18582
Distinct characters267
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)62.4%

Sample

1st row무료치매검사+치매극복의 날 기념행사+치매파트너 양성+인지재활 프로그램+가족교실(헤아림)+치매예방교실+치매극복주간 기념행사(인식개선 캠페인 등) 제공 등
2nd row치매예방 및 인식개선(교육, 홍보)치매조기검진(선별검진, 정밀검진)치매예방등록사업(상담 및 사례관리, 환자 및 가족 지원, 인지건강 프로그램 운영)치매치료비 및 원인확진검사비 지원(저소득 치매환자)치매지역사회 지원강화(지역사회 인적, 물적 자원 연계)치매통합관리 정보시스템 구축 운영
3rd row치매환자쉼터+인지재활프로그램+치매가족교실+치매자조모임+치매예방교실
4th row쉼터운영+치매예방교실운영+치매상담등록관리+치매안심마을운영+치매조기검진+치매환자맞춤형사례관리+치매환자가족프로그램운영+인지강화교실운영+치매파트너 및 등대지기 양성
5th row조기검진 및 상담+치매치료관리비지원+조호물품지원+치매환자교실운영+치매가족교실운영+가족카페운영
ValueCountFrequency (%)
및 262
 
11.7%
등 154
 
6.9%
운영 65
 
2.9%
치매환자 51
 
2.3%
프로그램 40
 
1.8%
지원 37
 
1.7%
쉼터 29
 
1.3%
치매 27
 
1.2%
홍보 27
 
1.2%
치매조기검진 25
 
1.1%
Other values (772) 1514
67.9%
2024-04-21T12:04:25.303172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1887
 
10.2%
치 1355
 
7.3%
+ 1239
 
6.7%
매 1224
 
6.6%
지 527
 
2.8%
사 440
 
2.4%
인 374
 
2.0%
검 340
 
1.8%
기 316
 
1.7%
조 316
 
1.7%
Other values (257) 10564
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15009
80.8%
Space Separator 1887
 
10.2%
Math Symbol 1239
 
6.7%
Other Punctuation 288
 
1.5%
Open Punctuation 56
 
0.3%
Close Punctuation 56
 
0.3%
Decimal Number 29
 
0.2%
Uppercase Letter 16
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 1355
 
9.0%
매 1224
 
8.2%
지 527
 
3.5%
사 440
 
2.9%
인 374
 
2.5%
검 340
 
2.3%
기 316
 
2.1%
조 316
 
2.1%
등 315
 
2.1%
진 293
 
2.0%
Other values (234) 9509
63.4%
Uppercase Letter
ValueCountFrequency (%)
S 4
25.0%
P 2
12.5%
M 2
12.5%
G 2
12.5%
D 2
12.5%
R 1
 
6.2%
V 1
 
6.2%
E 1
 
6.2%
B 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 261
90.6%
. 8
 
2.8%
· 7
 
2.4%
: 7
 
2.4%
/ 5
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 19
65.5%
0 5
 
17.2%
4 3
 
10.3%
2 2
 
6.9%
Space Separator
ValueCountFrequency (%)
1887
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15009
80.8%
Common 3557
 
19.1%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 1355
 
9.0%
매 1224
 
8.2%
지 527
 
3.5%
사 440
 
2.9%
인 374
 
2.5%
검 340
 
2.3%
기 316
 
2.1%
조 316
 
2.1%
등 315
 
2.1%
진 293
 
2.0%
Other values (234) 9509
63.4%
Common
ValueCountFrequency (%)
1887
53.1%
+ 1239
34.8%
, 261
 
7.3%
( 56
 
1.6%
) 56
 
1.6%
1 19
 
0.5%
. 8
 
0.2%
· 7
 
0.2%
: 7
 
0.2%
0 5
 
0.1%
Other values (4) 12
 
0.3%
Latin
ValueCountFrequency (%)
S 4
25.0%
P 2
12.5%
M 2
12.5%
G 2
12.5%
D 2
12.5%
R 1
 
6.2%
V 1
 
6.2%
E 1
 
6.2%
B 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15003
80.7%
ASCII 3566
 
19.2%
None 7
 
< 0.1%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1887
52.9%
+ 1239
34.7%
, 261
 
7.3%
( 56
 
1.6%
) 56
 
1.6%
1 19
 
0.5%
. 8
 
0.2%
: 7
 
0.2%
0 5
 
0.1%
/ 5
 
0.1%
Other values (12) 23
 
0.6%
Hangul
ValueCountFrequency (%)
치 1355
 
9.0%
매 1224
 
8.2%
지 527
 
3.5%
사 440
 
2.9%
인 374
 
2.5%
검 340
 
2.3%
기 316
 
2.1%
조 316
 
2.1%
등 315
 
2.1%
진 293
 
2.0%
Other values (233) 9503
63.3%
None
ValueCountFrequency (%)
· 7
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%

관리기관전화번호
Text

MISSING 

Distinct267
Distinct (%)85.9%
Missing35
Missing (%)10.1%
Memory size2.8 KiB
2024-04-21T12:04:25.502611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.967846
Min length9

Characters and Unicode

Total characters3722
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

Unique226 ?
Unique (%)72.7%

Sample

1st row1577-0545
2nd row02-2670-4752
3rd row041-940-4551
4th row055-882-4000
5th row033-530-2401
ValueCountFrequency (%)
031-310-5858 3
 
1.0%
054-880-3797 3
 
1.0%
02-901-7768 3
 
1.0%
033-442-4424 2
 
0.6%
1577-0545 2
 
0.6%
061-550-5810 2
 
0.6%
042-288-8180 2
 
0.6%
061-380-2971 2
 
0.6%
1666-1234 2
 
0.6%
033-572-4000 2
 
0.6%
Other values (257) 288
92.6%
2024-04-21T12:04:25.820698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 662
17.8%
- 618
16.6%
3 380
10.2%
5 327
8.8%
1 303
8.1%
4 298
8.0%
6 288
7.7%
2 287
7.7%
8 222
 
6.0%
7 197
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3104
83.4%
Dash Punctuation 618
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 662
21.3%
3 380
12.2%
5 327
10.5%
1 303
9.8%
4 298
9.6%
6 288
9.3%
2 287
9.2%
8 222
 
7.2%
7 197
 
6.3%
9 140
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 618
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3722
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 662
17.8%
- 618
16.6%
3 380
10.2%
5 327
8.8%
1 303
8.1%
4 298
8.0%
6 288
7.7%
2 287
7.7%
8 222
 
6.0%
7 197
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 662
17.8%
- 618
16.6%
3 380
10.2%
5 327
8.8%
1 303
8.1%
4 298
8.0%
6 288
7.7%
2 287
7.7%
8 222
 
6.0%
7 197
 
5.3%

관리기관명
Text

Distinct294
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T12:04:26.065463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length9.8583815
Min length3

Characters and Unicode

Total characters3411
Distinct characters171
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)73.7%

Sample

1st row강원도 영월군청
2nd row영등포구 보건소(건강증진과)
3rd row청양군보건의료원
4th row경상남도 하동군 보건소
5th row강원특별자치도 동해시보건소
ValueCountFrequency (%)
보건소 56
 
8.1%
경기도 39
 
5.7%
전라남도 34
 
4.9%
경상남도 17
 
2.5%
강원도 15
 
2.2%
서울특별시 15
 
2.2%
경상북도 14
 
2.0%
전라북도 13
 
1.9%
부산광역시 13
 
1.9%
인천광역시 12
 
1.7%
Other values (286) 461
66.9%
2024-04-21T12:04:26.430341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
10.1%
건 212
 
6.2%
보 208
 
6.1%
시 200
 
5.9%
도 192
 
5.6%
소 185
 
5.4%
청 137
 
4.0%
군 120
 
3.5%
구 112
 
3.3%
남 82
 
2.4%
Other values (161) 1620
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3064
89.8%
Space Separator 343
 
10.1%
Math Symbol 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 212
 
6.9%
보 208
 
6.8%
시 200
 
6.5%
도 192
 
6.3%
소 185
 
6.0%
청 137
 
4.5%
군 120
 
3.9%
구 112
 
3.7%
남 82
 
2.7%
경 77
 
2.5%
Other values (157) 1539
50.2%
Space Separator
ValueCountFrequency (%)
343
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3064
89.8%
Common 347
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 212
 
6.9%
보 208
 
6.8%
시 200
 
6.5%
도 192
 
6.3%
소 185
 
6.0%
청 137
 
4.5%
군 120
 
3.9%
구 112
 
3.7%
남 82
 
2.7%
경 77
 
2.5%
Other values (157) 1539
50.2%
Common
ValueCountFrequency (%)
343
98.8%
+ 2
 
0.6%
( 1
 
0.3%
) 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3064
89.8%
ASCII 347
 
10.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
343
98.8%
+ 2
 
0.6%
( 1
 
0.3%
) 1
 
0.3%
Hangul
ValueCountFrequency (%)
건 212
 
6.9%
보 208
 
6.8%
시 200
 
6.5%
도 192
 
6.3%
소 185
 
6.0%
청 137
 
4.5%
군 120
 
3.9%
구 112
 
3.7%
남 82
 
2.7%
경 77
 
2.5%
Other values (157) 1539
50.2%

데이터기준일자
Date

Distinct167
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2020-07-15 00:00:00
Maximum2024-03-28 00:00:00
2024-04-21T12:04:26.548471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:04:26.665018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct267
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4609867.1
Minimum3000000
Maximum6540000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-21T12:04:26.779048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3162500
Q13790000
median4515000
Q35297500
95-th percentile6460000
Maximum6540000
Range3540000
Interquartile range (IQR)1507500

Descriptive statistics

Standard deviation999579.69
Coefficient of variation (CV)0.21683482
Kurtosis-0.767708
Mean4609867.1
Median Absolute Deviation (MAD)735000
Skewness0.36820059
Sum1.595014 × 109
Variance9.9915956 × 1011
MonotonicityNot monotonic
2024-04-21T12:04:26.896160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6460000 23
 
6.6%
6520000 7
 
2.0%
6300000 6
 
1.7%
5710000 5
 
1.4%
3740000 4
 
1.2%
3910000 3
 
0.9%
3940000 3
 
0.9%
3340000 3
 
0.9%
5600000 3
 
0.9%
5670000 3
 
0.9%
Other values (257) 286
82.7%
ValueCountFrequency (%)
3000000 1
 
0.3%
3010000 1
 
0.3%
3020000 1
 
0.3%
3030000 1
 
0.3%
3040000 1
 
0.3%
3050000 1
 
0.3%
3060000 1
 
0.3%
3070000 1
 
0.3%
3080000 3
0.9%
3100000 1
 
0.3%
ValueCountFrequency (%)
6540000 1
 
0.3%
6520000 7
 
2.0%
6510000 2
 
0.6%
6470000 1
 
0.3%
6460000 23
6.6%
6450000 1
 
0.3%
6300000 6
 
1.7%
6290000 1
 
0.3%
6260000 1
 
0.3%
5710000 5
 
1.4%

제공기관명
Text

Distinct267
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-21T12:04:27.121015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.9855491
Min length4

Characters and Unicode

Total characters2763
Distinct characters140
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

Unique235 ?
Unique (%)67.9%

Sample

1st row강원도 영월군
2nd row서울특별시 영등포구
3rd row충청남도 청양군
4th row경상남도 하동군
5th row강원특별자치도 동해시
ValueCountFrequency (%)
경기도 55
 
8.4%
전라남도 45
 
6.9%
서울특별시 26
 
4.0%
경상북도 26
 
4.0%
경상남도 22
 
3.4%
부산광역시 19
 
2.9%
강원특별자치도 18
 
2.7%
강원도 18
 
2.7%
충청남도 16
 
2.4%
전라북도 15
 
2.3%
Other values (213) 395
60.3%
2024-04-21T12:04:27.505459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
309
 
11.2%
도 258
 
9.3%
시 228
 
8.3%
군 106
 
3.8%
경 106
 
3.8%
남 99
 
3.6%
구 91
 
3.3%
전 88
 
3.2%
북 79
 
2.9%
광 76
 
2.8%
Other values (130) 1323
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2454
88.8%
Space Separator 309
 
11.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 258
 
10.5%
시 228
 
9.3%
군 106
 
4.3%
경 106
 
4.3%
남 99
 
4.0%
구 91
 
3.7%
전 88
 
3.6%
북 79
 
3.2%
광 76
 
3.1%
별 71
 
2.9%
Other values (129) 1252
51.0%
Space Separator
ValueCountFrequency (%)
309
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2454
88.8%
Common 309
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 258
 
10.5%
시 228
 
9.3%
군 106
 
4.3%
경 106
 
4.3%
남 99
 
4.0%
구 91
 
3.7%
전 88
 
3.6%
북 79
 
3.2%
광 76
 
3.1%
별 71
 
2.9%
Other values (129) 1252
51.0%
Common
ValueCountFrequency (%)
309
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2454
88.8%
ASCII 309
 
11.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
309
100.0%
Hangul
ValueCountFrequency (%)
도 258
 
10.5%
시 228
 
9.3%
군 106
 
4.3%
경 106
 
4.3%
남 99
 
4.0%
구 91
 
3.7%
전 88
 
3.6%
북 79
 
3.2%
광 76
 
3.1%
별 71
 
2.9%
Other values (129) 1252
51.0%

Sample

치매센터명치매센터유형소재지도로명주소소재지지번주소위도경도설립연월건축물면적부대시설정보의사인원수간호사인원수사회복지사인원수기타인원현황운영기관명운영기관대표자명운영기관전화번호운영위탁일자주요치매관리프로그램소개관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
0영월군 치매안심센터치매안심센터강원도 영월군 영월읍 하송로 46-43강원도 영월군 영월읍 하송리 236-237.18544643128.4616742018-09462사무실+진료실+검진실+상담실+교육실+쉼터(프로그램실)+카페142작업치료사(2)+총괄(1)강원도 영월군 보건소호희남033-370-2774<NA>무료치매검사+치매극복의 날 기념행사+치매파트너 양성+인지재활 프로그램+가족교실(헤아림)+치매예방교실+치매극복주간 기념행사(인식개선 캠페인 등) 제공 등1577-0545강원도 영월군청2022-12-124270000강원도 영월군
1영등포구치매안심센터치매안심센터서울특별시 영등포구 당산로 29길 9서울특별시 영등포구 당산동3가 40737.525994126.8939792009-12854.21검사실(4)+진료실(1)+프로그램실(5)+쉼터(2)+카페(1)+사무실(1)+화장실 각층(3)175작업치료사(5)+음악치료사(1)+운동처방사(1)+행정요원(1)한림대학교 강남성심병원정산02-831-08552021-12-01치매예방 및 인식개선(교육, 홍보)치매조기검진(선별검진, 정밀검진)치매예방등록사업(상담 및 사례관리, 환자 및 가족 지원, 인지건강 프로그램 운영)치매치료비 및 원인확진검사비 지원(저소득 치매환자)치매지역사회 지원강화(지역사회 인적, 물적 자원 연계)치매통합관리 정보시스템 구축 운영02-2670-4752영등포구 보건소(건강증진과)2023-11-303180000서울특별시 영등포구
2청양군치매안심센터치매안심센터충청남도 청양군 청양읍 칠갑산로 7길 54충청남도 청양군 청양읍 읍내리 261-136.45501978126.80493082019-11381.86검진실+사무실+프로그램실143작업치료사(2), 행정(1)청양군보건의료원김상경041-940-4500<NA>치매환자쉼터+인지재활프로그램+치매가족교실+치매자조모임+치매예방교실041-940-4551청양군보건의료원2023-11-304590000충청남도 청양군
3하동군치매안심센터치매안심센터경상남도 하동군 횡천면 경서대로 1189경상남도 하동군 횡천면 횡천리 575-335.1097955127.8151022019-12<NA>상담실+사무실+가족카페+프로그램운영실+치매환자쉼터072작업치료사(2)+송영일반(1)경상남도 하동군 보건소이종문055-880-6850<NA>쉼터운영+치매예방교실운영+치매상담등록관리+치매안심마을운영+치매조기검진+치매환자맞춤형사례관리+치매환자가족프로그램운영+인지강화교실운영+치매파트너 및 등대지기 양성055-882-4000경상남도 하동군 보건소2023-11-305440000경상남도 하동군
4강원특별자치도동해시치매안심센터치매안심센터강원특별자치도 동해시 발한로 227 동해시치매안심센터 1층강원특별자치도 동해시 발한동 17-937.5495162129.10814092018-09540가족카페073<NA>동해시치매안심센터최식순033-530-2426<NA>조기검진 및 상담+치매치료관리비지원+조호물품지원+치매환자교실운영+치매가족교실운영+가족카페운영033-530-2401강원특별자치도 동해시보건소2023-11-304211000강원특별자치도 동해시
5시흥시 치매안심센터(연성센터)치매안심센터경기도 시흥시 장현천1길 32경기도 시흥시 하중동 798-537.38413218126.80210912020-01348.25사무실(1)+회의실(1)+교육실(1)+ 검진및상담실(3)+환자쉼터(1)+가족카페(1)051작업치료사(1)+송영및쉼터보조인력(1)시흥시보건소방효설031-310-6825<NA>치매조기검진+치매의료비 및 검진비 지원+치매예방교육+치매환자쉼터 및 가족지원사업 등031-310-5858경기도 시흥시청2023-11-284010000경기도 시흥시
6시흥시 치매안심센터(정왕센터)치매안심센터경기도 시흥시 정왕대로233번길 19경기도 시흥시 정왕동 1799-537.34672069126.74015292019-04538.68사무실(1)+회의실(1)+교육실(2)+검진및상담실(4)+환자쉼터(1)+가족카페(1)041작업치료사(2)+치위생사(1)+송영및쉼터보조인력(1)시흥시보건소방효설031-310-5930<NA>치매조기검진+치매의료비 및 검진비 지원+치매예방교육+치매환자쉼터 및 가족지원사업 등031-310-5858경기도 시흥시청2023-11-284010000경기도 시흥시
7시흥시 치매안심센터(대야신천센터)치매안심센터경기도 시흥시 호현로 55경기도 시흥시 대야동 484-337.445579126.7852832018-11489사무실(1)+회의실(1)+ 검진실(2)+환자쉼터(1)+가족카페(1)041작업치료사(2)+송영및쉼터보조인력(1)시흥시보건소방효설031-310-5857<NA>치매조기검진+치매의료비 및 검진비 지원+치매예방교육+치매환자쉼터 및 가족지원사업 등031-310-5858경기도 시흥시청2023-11-284010000경기도 시흥시
8경주시 치매상담센터치매안심센터경상북도 경주시 봉황로 178경상북도 경주시 성건동 620-8335.85535748129.21051072019-10633상담실1+검진실3+치매카페+다목적실+교육장+자원봉사자실+사무실0162행정(5)+육아휴직(1)경주시보건소경주시보건소장(최재순)054-760-2950<NA>치매조기검진+치매치료비지원+치매쉼터운영+치매가족프로그램 운영+치매예방교육 및 상담+치매인식개선사업+치매보듬마을 조성054-779-8614경상북도 경주시청2023-11-245050000경상북도 경주시
9금산군치매안심센터치매안심센터충청남도 금산군 금산읍 비범1길 5충청남도 금산군 금산읍 중도리 214-336.1095223127.49344732018-12426.61사무실(1)+쉼터(1)+프로그램실(4)085기타(2)금산군보건소채기주041-750-4300<NA>치매상담+등록관리+조기검진+인지재활프로그램+치매치료관리비지원+치매주간보호센터 운영 등041-635-4339충청남도청2023-11-274550000충청남도 금산군
치매센터명치매센터유형소재지도로명주소소재지지번주소위도경도설립연월건축물면적부대시설정보의사인원수간호사인원수사회복지사인원수기타인원현황운영기관명운영기관대표자명운영기관전화번호운영위탁일자주요치매관리프로그램소개관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
336울릉군치매안심센터치매안심센터경상북도 울릉군 울릉읍 울릉순환로 396-18<NA>37.48590672130.89946262018-0572치매단기쉼터1420울릉군보건의료원김영헌054-790-6827<NA>치매치료관리비지원054-880-3805경상북도 보건정책과2023-06-165260000경상북도 울릉군
337구미치매안심센터치매안심센터경상북도 구미시 지산11길 8-1경상북도 구미시 지산동 853-14136.139463128.34552032022-12738.66사무실(1)+진료실(1)+검사실(1)+상담실(1)+프로그램실(2)+가족카페(1)+교육실(1)+소회의실(1)+쉼터(1)01205구미치매안심센터최현주054-480-4882<NA>치매환자 등록 및 상담+맞춤형 사례관리+치매조기검진+치매환자쉼터 및 예방교실+치매가족지원사업+치매인식개선사업 등054-880-3797경상북도청2023-06-145080000경상북도 구미시
338구미시선산치매안심센터치매안심센터경상북도 구미시 선산읍 선주로 121경상북도 구미시 선산읍 동부리 544-136.24417904128.29994912023-01566.29사무실(1)+진료실(1)+프로그램실(1)+강당(1)+검사실(2)+가족카페(1)1723구미시선산치매안심센터권준경054-480-4352<NA>치매환자 등록 및 상담+맞춤형 사례관리+치매조기검진+치매환자쉼터 및 예방교실+치매가족지원사업+치매인식개선사업 등054-880-3797경상북도청2023-06-145080000경상북도 구미시
339인제군치매안심센터치매안심센터강원도 인제군 인제읍 인제로140번길 34강원도 인제군 인제읍 남북리 789-138.06327706128.16858542019-12719.3사무실(2)+치매환자쉼터(1)+가족카페(1)+교육실(2)+검진,상담실(1), 창고(2)162행정(2)+작업치료사(2)직영허준용033-460-2523<NA>무료치매검사,경증치매환자단기쉼터운영, 인지재활프로그램, 정상군 치매예방교실,치매고위험군 인지강화교실, 치매인식개선, 기타 치매환자 조호물품, 치매치료관리지지원,실종예방사업<NA>강원도 인제군청2023-06-074331000강원특별자치도 인제군
340원주시치매안심센터치매안심센터강원도 원주시 지니기길 11-20강원도 원주시 무실동 산140-137.32470828127.9248472020-01295468사무실(2)+검진, 교육, 행사 등 운영공간(9)+ 창고 등(5)0160조무사(2)+치위생사(2)+심리상담사(1)+작업치료사(2)+안경사(1)원주시보건소(치매안심과)김진희033-737-4541<NA>치매조기검사033-737-4541강원도 원주시청2022-11-044191000강원특별자치도 원주시
341남부치매안심센터치매안심센터경기도 여주시 점동면 청안로 130-6<NA>37.20571617127.66241732019-09135사무실+프로그램실+상담실+진단검사실011작업치료사(1)경기도 여주시보건소최영성031-887-3691<NA>예방프로그램+쉼터+치매인식개선사업+조기검진사업031-887-3493경기도 여주시청2023-11-155700000경기도 여주시
342부산광역시 동구보건소 치매안심센터치매안심센터부산광역시 동구 구청로 14부산광역시 동구 수정동 819-5435.12832585129.04506222018-03387.92사무실+검진실+프로그램실+가족카페+다목적홀+옥상정원 등063작업치료사(2)+임상심리사(1)부산광역시 동구보건소김유정051-440-6443<NA>치매조기검진+쉼터+인지재활프로그램+가족지원사업 등051-440-6443부산광역시 동구보건소2023-11-233270000부산광역시 동구
343부산광역시 수영구 치매안심센터치매안심센터부산광역시 수영구 수영로 637-5(광안동)부산광역시 수영구 광안동 661-135.16247327129.11348752018-12565.18<NA>073작업치료사(3)+임상심리사(1)부산광역시 수영구보건소박병건051-752-4000<NA>치매조기검진, 치매예방프로그램, 치매환자 지원사업, 치매 인식개선 홍보 캠페인 등051-752-4000부산광역시 수영구보건소2023-10-253380000부산광역시 수영구
344남동구보건소치매안심센터치매안심센터인천광역시 남동구 소래로 633<NA>37.4473902126.73067842018-12<NA><NA>2151임상심리사(1)+작업치료사(2)+기타(10)남동구보건소조은행032-453-5915<NA>치매예방교육+인지강화 프로그램+쉼터 프로그램+찾아가는 치매예방교육 및 선별검사032-453-5814인천광역시 남동구 치매정신건강과2023-11-203530000인천광역시 남동구
345기장군 치매안심센터치매안심센터부산광역시 기장군 정관읍 용수로 11부산광역시 기장군 정관읍 용수리 1314-135.32519724129.17937662020-01431.67<NA>1943기장군보건소최병무051-709-29832020-01-01치매 선별검사, 치매환자 인지재활 프로그램, 치매환자가족교실, 자조모임, 치매 예방교육 등051-709-2983기장군보건소2023-11-203400000부산광역시 기장군