Overview

Dataset statistics

Number of variables8
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory67.6 B

Variable types

Text3
Categorical2
Numeric2
DateTime1

Dataset

Description서울특별시 동대문구 노인복지시설 현황 자료입니다. 시설명, 주소, 위도, 경도, 전화번호 등을 포함하고 있습니다.
Author서울특별시 동대문구
URLhttps://www.data.go.kr/data/15127338/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일 has constant value ""Constant
시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:52:20.903697
Analysis finished2024-04-06 08:52:25.239856
Duration4.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-04-06T17:52:25.619916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length9.4146341
Min length3

Characters and Unicode

Total characters772
Distinct characters161
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

Unique82 ?
Unique (%)100.0%

Sample

1st row(A)비지팅엔젤스 동대문방문요양지점
2nd row(A)비지팅엔젤스 동대문중앙방문요양지점
3rd row(A+)하나방문요양센터
4th row(주)온가치 수요양보호사교육원 재가노인복지센터
5th row120재가복지/활동지원센터
ValueCountFrequency (%)
재가복지센터 3
 
3.2%
a)비지팅엔젤스 2
 
2.1%
재가노인복지센터 2
 
2.1%
우리집요양원 1
 
1.1%
은천주간보호센터 1
 
1.1%
은천재가노인지원센터 1
 
1.1%
은천요양원 1
 
1.1%
은천노인요양센터 1
 
1.1%
은나무요양원 1
 
1.1%
유자원 1
 
1.1%
Other values (81) 81
85.3%
2024-04-06T17:52:26.514626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 55
 
7.1%
센 55
 
7.1%
요 32
 
4.1%
양 31
 
4.0%
지 29
 
3.8%
원 24
 
3.1%
복 23
 
3.0%
가 23
 
3.0%
재 21
 
2.7%
어 17
 
2.2%
Other values (151) 462
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 730
94.6%
Space Separator 13
 
1.7%
Decimal Number 10
 
1.3%
Open Punctuation 5
 
0.6%
Close Punctuation 5
 
0.6%
Uppercase Letter 4
 
0.5%
Other Punctuation 3
 
0.4%
Math Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 55
 
7.5%
센 55
 
7.5%
요 32
 
4.4%
양 31
 
4.2%
지 29
 
4.0%
원 24
 
3.3%
복 23
 
3.2%
가 23
 
3.2%
재 21
 
2.9%
어 17
 
2.3%
Other values (138) 420
57.5%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
1 3
30.0%
3 1
 
10.0%
5 1
 
10.0%
9 1
 
10.0%
0 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 730
94.6%
Common 38
 
4.9%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 55
 
7.5%
센 55
 
7.5%
요 32
 
4.4%
양 31
 
4.2%
지 29
 
4.0%
원 24
 
3.3%
복 23
 
3.2%
가 23
 
3.2%
재 21
 
2.9%
어 17
 
2.3%
Other values (138) 420
57.5%
Common
ValueCountFrequency (%)
13
34.2%
( 5
 
13.2%
) 5
 
13.2%
2 3
 
7.9%
1 3
 
7.9%
+ 2
 
5.3%
/ 2
 
5.3%
, 1
 
2.6%
3 1
 
2.6%
5 1
 
2.6%
Other values (2) 2
 
5.3%
Latin
ValueCountFrequency (%)
A 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 730
94.6%
ASCII 42
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 55
 
7.5%
센 55
 
7.5%
요 32
 
4.4%
양 31
 
4.2%
지 29
 
4.0%
원 24
 
3.3%
복 23
 
3.2%
가 23
 
3.2%
재 21
 
2.9%
어 17
 
2.3%
Other values (138) 420
57.5%
ASCII
ValueCountFrequency (%)
13
31.0%
( 5
 
11.9%
) 5
 
11.9%
A 4
 
9.5%
2 3
 
7.1%
1 3
 
7.1%
+ 2
 
4.8%
/ 2
 
4.8%
, 1
 
2.4%
3 1
 
2.4%
Other values (3) 3
 
7.1%

서비스분류명
Categorical

Distinct13
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
방문요양+방문목욕
20 
노인요양공동생활가정
16 
주야간보호
16 
방문요양+주야간보호
8 
노인요양시설
7 
Other values (8)
15 

Length

Max length15
Median length14
Mean length8.0609756
Min length4

Unique

Unique4 ?
Unique (%)4.9%

Sample

1st row방문요양+방문목욕
2nd row방문요양+방문목욕
3rd row방문요양+방문목욕
4th row방문요양+방문목욕+방문간호
5th row방문요양+방문목욕

Common Values

ValueCountFrequency (%)
방문요양+방문목욕 20
24.4%
노인요양공동생활가정 16
19.5%
주야간보호 16
19.5%
방문요양+주야간보호 8
 
9.8%
노인요양시설 7
 
8.5%
방문요양 3
 
3.7%
단기보호 3
 
3.7%
복지용구제공사업소 3
 
3.7%
방문요양+방문목욕+주야간보호 2
 
2.4%
방문요양+방문목욕+방문간호 1
 
1.2%
Other values (3) 3
 
3.7%

Length

2024-04-06T17:52:26.932163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양+방문목욕 20
24.4%
노인요양공동생활가정 16
19.5%
주야간보호 16
19.5%
방문요양+주야간보호 8
 
9.8%
노인요양시설 7
 
8.5%
방문요양 3
 
3.7%
단기보호 3
 
3.7%
복지용구제공사업소 3
 
3.7%
방문요양+방문목욕+주야간보호 2
 
2.4%
방문요양+방문목욕+방문간호 1
 
1.2%
Other values (3) 3
 
3.7%

주소
Text

Distinct62
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-04-06T17:52:27.586541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.365854
Min length17

Characters and Unicode

Total characters1588
Distinct characters57
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

Unique50 ?
Unique (%)61.0%

Sample

1st row서울특별시 동대문구 고산자로34길 70
2nd row서울특별시 동대문구 장한로 64
3rd row서울특별시 동대문구 정릉천동로 58
4th row서울특별시 동대문구 전농로 22
5th row서울특별시 동대문구 답십리로 55
ValueCountFrequency (%)
서울특별시 82
25.0%
동대문구 82
25.0%
한천로37길 9
 
2.7%
19 8
 
2.4%
제기로 6
 
1.8%
한천로 6
 
1.8%
답십리로 6
 
1.8%
72 5
 
1.5%
고산자로 4
 
1.2%
장한로27가길 4
 
1.2%
Other values (85) 116
35.4%
2024-04-06T17:52:28.863096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
263
16.6%
시 88
 
5.5%
대 84
 
5.3%
문 84
 
5.3%
서 83
 
5.2%
동 83
 
5.2%
구 82
 
5.2%
울 82
 
5.2%
별 82
 
5.2%
특 82
 
5.2%
Other values (47) 575
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1060
66.8%
Space Separator 263
 
16.6%
Decimal Number 258
 
16.2%
Dash Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 88
 
8.3%
대 84
 
7.9%
문 84
 
7.9%
서 83
 
7.8%
동 83
 
7.8%
구 82
 
7.7%
울 82
 
7.7%
별 82
 
7.7%
특 82
 
7.7%
로 81
 
7.6%
Other values (35) 229
21.6%
Decimal Number
ValueCountFrequency (%)
2 54
20.9%
7 41
15.9%
1 39
15.1%
3 30
11.6%
6 22
8.5%
4 17
 
6.6%
5 16
 
6.2%
8 14
 
5.4%
9 14
 
5.4%
0 11
 
4.3%
Space Separator
ValueCountFrequency (%)
263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1060
66.8%
Common 528
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 88
 
8.3%
대 84
 
7.9%
문 84
 
7.9%
서 83
 
7.8%
동 83
 
7.8%
구 82
 
7.7%
울 82
 
7.7%
별 82
 
7.7%
특 82
 
7.7%
로 81
 
7.6%
Other values (35) 229
21.6%
Common
ValueCountFrequency (%)
263
49.8%
2 54
 
10.2%
7 41
 
7.8%
1 39
 
7.4%
3 30
 
5.7%
6 22
 
4.2%
4 17
 
3.2%
5 16
 
3.0%
8 14
 
2.7%
9 14
 
2.7%
Other values (2) 18
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1060
66.8%
ASCII 528
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
263
49.8%
2 54
 
10.2%
7 41
 
7.8%
1 39
 
7.4%
3 30
 
5.7%
6 22
 
4.2%
4 17
 
3.2%
5 16
 
3.0%
8 14
 
2.7%
9 14
 
2.7%
Other values (2) 18
 
3.4%
Hangul
ValueCountFrequency (%)
시 88
 
8.3%
대 84
 
7.9%
문 84
 
7.9%
서 83
 
7.8%
동 83
 
7.8%
구 82
 
7.7%
울 82
 
7.7%
별 82
 
7.7%
특 82
 
7.7%
로 81
 
7.6%
Other values (35) 229
21.6%

위도
Real number (ℝ)

Distinct62
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.578792
Minimum37.5652
Maximum37.603158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-06T17:52:29.420682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.5652
5-th percentile37.568214
Q137.574205
median37.576362
Q337.584149
95-th percentile37.58937
Maximum37.603158
Range0.0379582
Interquartile range (IQR)0.0099437875

Descriptive statistics

Standard deviation0.0075682291
Coefficient of variation (CV)0.00020139628
Kurtosis0.8970249
Mean37.578792
Median Absolute Deviation (MAD)0.00514909
Skewness0.71376387
Sum3081.461
Variance5.7278092 × 10-5
MonotonicityNot monotonic
2024-04-06T17:52:30.047087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.57631848 7
 
8.5%
37.58646751 5
 
6.1%
37.57631749 2
 
2.4%
37.58936957 2
 
2.4%
37.57549907 2
 
2.4%
37.57600766 2
 
2.4%
37.56864896 2
 
2.4%
37.58279487 2
 
2.4%
37.57996239 2
 
2.4%
37.58621194 2
 
2.4%
Other values (52) 54
65.9%
ValueCountFrequency (%)
37.56520017 1
1.2%
37.56570315 1
1.2%
37.56663423 1
1.2%
37.56670169 1
1.2%
37.5682068 1
1.2%
37.5683536 1
1.2%
37.56864896 2
2.4%
37.56990735 1
1.2%
37.57016097 1
1.2%
37.57017349 1
1.2%
ValueCountFrequency (%)
37.60315837 1
 
1.2%
37.6001268 1
 
1.2%
37.59848092 1
 
1.2%
37.59025847 1
 
1.2%
37.58936957 2
 
2.4%
37.58751632 1
 
1.2%
37.58724711 1
 
1.2%
37.58646751 5
6.1%
37.5862721 1
 
1.2%
37.58621194 2
 
2.4%

경도
Real number (ℝ)

Distinct62
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05411
Minimum127.02489
Maximum127.07507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-06T17:52:30.420814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02489
5-th percentile127.03396
Q1127.04202
median127.05687
Q3127.06652
95-th percentile127.07091
Maximum127.07507
Range0.0501815
Interquartile range (IQR)0.02449835

Descriptive statistics

Standard deviation0.0132494
Coefficient of variation (CV)0.00010428155
Kurtosis-1.2949693
Mean127.05411
Median Absolute Deviation (MAD)0.0113488
Skewness-0.25956516
Sum10418.437
Variance0.00017554659
MonotonicityNot monotonic
2024-04-06T17:52:30.827980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0665157 7
 
8.5%
127.0410668 5
 
6.1%
127.0661948 2
 
2.4%
127.060972 2
 
2.4%
127.0709115 2
 
2.4%
127.0714122 2
 
2.4%
127.0632061 2
 
2.4%
127.0433833 2
 
2.4%
127.068052 2
 
2.4%
127.0635533 2
 
2.4%
Other values (52) 54
65.9%
ValueCountFrequency (%)
127.0248888 1
1.2%
127.0301471 1
1.2%
127.031927 1
1.2%
127.0325123 1
1.2%
127.0339466 1
1.2%
127.034197 1
1.2%
127.0347349 1
1.2%
127.0358094 1
1.2%
127.0364792 1
1.2%
127.0377483 1
1.2%
ValueCountFrequency (%)
127.0750703 1
1.2%
127.074006 1
1.2%
127.0714122 2
2.4%
127.0709115 2
2.4%
127.0699287 1
1.2%
127.0695085 1
1.2%
127.0694906 1
1.2%
127.068801 1
1.2%
127.0683889 1
1.2%
127.068052 2
2.4%

전화번호
Text

Distinct73
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-04-06T17:52:31.415715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.670732
Min length11

Characters and Unicode

Total characters957
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

Unique64 ?
Unique (%)78.0%

Sample

1st row02-966-5155
2nd row02-2249-2345
3rd row02-962-3932
4th row02-3394-6620
5th row02-2249-0120
ValueCountFrequency (%)
02-959-8800 2
 
2.4%
02-962-2262 2
 
2.4%
02-3390-4084 2
 
2.4%
02-3394-6318 2
 
2.4%
02-2244-1654 2
 
2.4%
02-2212-3712 2
 
2.4%
02-2244-2552 2
 
2.4%
02-960-3460 2
 
2.4%
02-2248-7533 2
 
2.4%
02-965-3972 1
 
1.2%
Other values (63) 63
76.8%
2024-04-06T17:52:33.116248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 193
20.2%
- 164
17.1%
0 148
15.5%
9 78
8.2%
3 77
 
8.0%
6 68
 
7.1%
4 62
 
6.5%
5 56
 
5.9%
1 42
 
4.4%
7 35
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 793
82.9%
Dash Punctuation 164
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 193
24.3%
0 148
18.7%
9 78
9.8%
3 77
 
9.7%
6 68
 
8.6%
4 62
 
7.8%
5 56
 
7.1%
1 42
 
5.3%
7 35
 
4.4%
8 34
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 957
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 193
20.2%
- 164
17.1%
0 148
15.5%
9 78
8.2%
3 77
 
8.0%
6 68
 
7.1%
4 62
 
6.5%
5 56
 
5.9%
1 42
 
4.4%
7 35
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 193
20.2%
- 164
17.1%
0 148
15.5%
9 78
8.2%
3 77
 
8.0%
6 68
 
7.1%
4 62
 
6.5%
5 56
 
5.9%
1 42
 
4.4%
7 35
 
3.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
서울특별시 동대문구청
82 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 동대문구청
2nd row서울특별시 동대문구청
3rd row서울특별시 동대문구청
4th row서울특별시 동대문구청
5th row서울특별시 동대문구청

Common Values

ValueCountFrequency (%)
서울특별시 동대문구청 82
100.0%

Length

2024-04-06T17:52:33.624717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:52:34.037533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 82
50.0%
동대문구청 82
50.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
Minimum2024-03-22 00:00:00
Maximum2024-03-22 00:00:00
2024-04-06T17:52:34.469708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:52:34.768623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:52:24.058617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:52:23.511293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:52:24.363881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:52:23.815742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:52:35.007759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명서비스분류명주소위도경도전화번호
시설명1.0001.0001.0001.0001.0001.000
서비스분류명1.0001.0000.7010.0630.2140.781
주소1.0000.7011.0001.0001.0001.000
위도1.0000.0631.0001.0000.6401.000
경도1.0000.2141.0000.6401.0001.000
전화번호1.0000.7811.0001.0001.0001.000
2024-04-06T17:52:35.226559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도서비스분류명
위도1.000-0.3640.000
경도-0.3641.0000.076
서비스분류명0.0000.0761.000

Missing values

2024-04-06T17:52:24.739059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:52:25.089437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시설명서비스분류명주소위도경도전화번호관리기관명데이터기준일
0(A)비지팅엔젤스 동대문방문요양지점방문요양+방문목욕서울특별시 동대문구 고산자로34길 7037.578297127.042202-966-5155서울특별시 동대문구청2024-03-22
1(A)비지팅엔젤스 동대문중앙방문요양지점방문요양+방문목욕서울특별시 동대문구 장한로 6437.566634127.06838902-2249-2345서울특별시 동대문구청2024-03-22
2(A+)하나방문요양센터방문요양+방문목욕서울특별시 동대문구 정릉천동로 5837.577164127.03580902-962-3932서울특별시 동대문구청2024-03-22
3(주)온가치 수요양보호사교육원 재가노인복지센터방문요양+방문목욕+방문간호서울특별시 동대문구 전농로 2237.566702127.05671302-3394-6620서울특별시 동대문구청2024-03-22
4120재가복지/활동지원센터방문요양+방문목욕서울특별시 동대문구 답십리로 5537.576405127.04739202-2249-0120서울특별시 동대문구청2024-03-22
5129재가복지/방문요양센터방문요양서울특별시 동대문구 답십리로48길 6437.569907127.05762402-2249-0129서울특별시 동대문구청2024-03-22
6153통합돌봄재가센터방문요양+주야간보호서울특별시 동대문구 사가정로 637.570161127.04951602-2242-0153서울특별시 동대문구청2024-03-22
7A+주은방문요양센터방문요양서울특별시 동대문구 약령시로21길 3037.584192127.04569702-966-7185서울특별시 동대문구청2024-03-22
8가운재가복지센터방문요양+방문목욕서울특별시 동대문구 제기로2가길 737.585263127.03473502-0000-0000서울특별시 동대문구청2024-03-22
9경동노인요양원노인요양공동생활가정서울특별시 동대문구 약령시로 122-537.582795127.04338302-962-2262서울특별시 동대문구청2024-03-22
시설명서비스분류명주소위도경도전화번호관리기관명데이터기준일
72한사랑실버케어요양원노인요양시설서울특별시 동대문구 장한로28길 5637.572655127.0750702-3394-4560서울특별시 동대문구청2024-03-22
73함께가요재가복지센터방문요양+방문목욕서울특별시 동대문구 답십리로23길 12737.580678127.05191802-3394-7563서울특별시 동대문구청2024-03-22
74해솔 메디칼복지용구제공사업소서울특별시 동대문구 약령시로17길 59-1837.585779127.04166202-962-5759서울특별시 동대문구청2024-03-22
75행복드림 재가노인복지센터방문요양+방문목욕서울특별시 동대문구 전농로17길 2537.578879127.05564102-2246-2139서울특별시 동대문구청2024-03-22
76행복숲 재가복지센터방문요양+방문목욕서울특별시 동대문구 천호대로77나길 337.5652127.06312202-2212-3337서울특별시 동대문구청2024-03-22
77현대재가방문요양센터방문요양+방문목욕서울특별시 동대문구 한천로 44337.600127127.0673902-965-0366서울특별시 동대문구청2024-03-22
78홍릉단기보호센터단기보호서울특별시 동대문구 제기로 7237.586468127.04106702-960-3460서울특별시 동대문구청2024-03-22
79홍릉요양원노인요양공동생활가정서울특별시 동대문구 제기로 7237.586468127.04106702-960-3460서울특별시 동대문구청2024-03-22
80휘경데이케어센터주야간보호서울특별시 동대문구 답십리로 17237.572683127.05914602-2249-0173서울특별시 동대문구청2024-03-22
81희망노인주야간보호센터주야간보호서울특별시 동대문구 전농로 63-137.570585127.0570302-3394-7591서울특별시 동대문구청2024-03-22