Overview

Dataset statistics

Number of variables7
Number of observations51
Missing cells51
Missing cells (%)14.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory62.6 B

Variable types

Numeric3
Text3
Unsupported1

Dataset

Description노인복지시설 현황에 대한 데이터로, 연번, 운영 중인 노인의료복지시설(노인요양시설, 노인요양공동생활가정)의 명칭, 도로명주소, 전화번호, 좌표값 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15070559&srcSe=7661IVAWM27C61E190

Alerts

Unnamed: 6 has 51 (100.0%) missing valuesMissing
연번 has unique valuesUnique
명칭 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-28 15:45:54.845045
Analysis finished2024-01-28 15:45:55.899778
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-01-29T00:45:55.959985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2024-01-29T00:45:56.088160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

명칭
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-01-29T00:45:56.267345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.8039216
Min length4

Characters and Unicode

Total characters347
Distinct characters104
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row(인천)에벤에셀요양원
2nd rowThe 숲 요양원
3rd row가람요양원
4th row경인노인요양공동생활가정
5th row그린1요양원
ValueCountFrequency (%)
노인요양원 2
 
3.6%
요양원 2
 
3.6%
인천)에벤에셀요양원 1
 
1.8%
주안해피타운 1
 
1.8%
진요양원 1
 
1.8%
인천사랑노인요양원 1
 
1.8%
인천수봉요양원 1
 
1.8%
인천은혜요양원 1
 
1.8%
인하요양원 1
 
1.8%
자미원요양원 1
 
1.8%
Other values (44) 44
78.6%
2024-01-29T00:45:56.767885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 50
 
14.4%
양 50
 
14.4%
원 49
 
14.1%
인 14
 
4.0%
노 8
 
2.3%
천 5
 
1.4%
복 5
 
1.4%
행 5
 
1.4%
5
 
1.4%
주 5
 
1.4%
Other values (94) 151
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 332
95.7%
Space Separator 5
 
1.4%
Decimal Number 5
 
1.4%
Lowercase Letter 2
 
0.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 50
 
15.1%
양 50
 
15.1%
원 49
 
14.8%
인 14
 
4.2%
노 8
 
2.4%
천 5
 
1.5%
복 5
 
1.5%
행 5
 
1.5%
주 5
 
1.5%
안 5
 
1.5%
Other values (86) 136
41.0%
Decimal Number
ValueCountFrequency (%)
2 4
80.0%
1 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
95.4%
Common 12
 
3.5%
Latin 3
 
0.9%
Han 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 50
 
15.1%
양 50
 
15.1%
원 49
 
14.8%
인 14
 
4.2%
노 8
 
2.4%
천 5
 
1.5%
복 5
 
1.5%
행 5
 
1.5%
주 5
 
1.5%
안 5
 
1.5%
Other values (85) 135
40.8%
Common
ValueCountFrequency (%)
5
41.7%
2 4
33.3%
( 1
 
8.3%
) 1
 
8.3%
1 1
 
8.3%
Latin
ValueCountFrequency (%)
T 1
33.3%
h 1
33.3%
e 1
33.3%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
95.4%
ASCII 15
 
4.3%
CJK 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 50
 
15.1%
양 50
 
15.1%
원 49
 
14.8%
인 14
 
4.2%
노 8
 
2.4%
천 5
 
1.5%
복 5
 
1.5%
행 5
 
1.5%
주 5
 
1.5%
안 5
 
1.5%
Other values (85) 135
40.8%
ASCII
ValueCountFrequency (%)
5
33.3%
2 4
26.7%
( 1
 
6.7%
) 1
 
6.7%
1 1
 
6.7%
T 1
 
6.7%
h 1
 
6.7%
e 1
 
6.7%
CJK
ValueCountFrequency (%)
愛 1
100.0%

도로명주소
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-01-29T00:45:57.003592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length30.960784
Min length22

Characters and Unicode

Total characters1579
Distinct characters111
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

Unique51 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 아암대로29번길 48, 3층
2nd row인천광역시 미추홀구 미추로 53 (숭의동)
3rd row인천광역시 미추홀구 매소홀로 81-1, 6층 (용현동, 은혜빌딩)
4th row인천광역시 미추홀구 석정로 411, 5층 (주안동, 금창빌딩)
5th row인천광역시 미추홀구 주안로213번길 10-1, 6층 (주안동)
ValueCountFrequency (%)
인천광역시 51
 
16.9%
미추홀구 51
 
16.9%
주안동 18
 
6.0%
숭의동 8
 
2.6%
학익동 7
 
2.3%
도화동 6
 
2.0%
용현동 6
 
2.0%
4층 5
 
1.7%
3층 4
 
1.3%
경인로 4
 
1.3%
Other values (108) 142
47.0%
2024-01-29T00:45:57.377860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
 
15.9%
인 61
 
3.9%
홀 55
 
3.5%
미 54
 
3.4%
추 54
 
3.4%
동 52
 
3.3%
역 51
 
3.2%
시 51
 
3.2%
광 51
 
3.2%
구 51
 
3.2%
Other values (101) 848
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 941
59.6%
Space Separator 251
 
15.9%
Decimal Number 225
 
14.2%
Close Punctuation 50
 
3.2%
Open Punctuation 50
 
3.2%
Other Punctuation 47
 
3.0%
Dash Punctuation 12
 
0.8%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 61
 
6.5%
홀 55
 
5.8%
미 54
 
5.7%
추 54
 
5.7%
동 52
 
5.5%
역 51
 
5.4%
시 51
 
5.4%
광 51
 
5.4%
구 51
 
5.4%
천 51
 
5.4%
Other values (85) 410
43.6%
Decimal Number
ValueCountFrequency (%)
1 44
19.6%
4 29
12.9%
3 26
11.6%
2 24
10.7%
5 22
9.8%
0 20
8.9%
6 18
8.0%
9 17
 
7.6%
8 15
 
6.7%
7 10
 
4.4%
Space Separator
ValueCountFrequency (%)
251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 941
59.6%
Common 638
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 61
 
6.5%
홀 55
 
5.8%
미 54
 
5.7%
추 54
 
5.7%
동 52
 
5.5%
역 51
 
5.4%
시 51
 
5.4%
광 51
 
5.4%
구 51
 
5.4%
천 51
 
5.4%
Other values (85) 410
43.6%
Common
ValueCountFrequency (%)
251
39.3%
) 50
 
7.8%
( 50
 
7.8%
, 47
 
7.4%
1 44
 
6.9%
4 29
 
4.5%
3 26
 
4.1%
2 24
 
3.8%
5 22
 
3.4%
0 20
 
3.1%
Other values (6) 75
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 941
59.6%
ASCII 638
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
39.3%
) 50
 
7.8%
( 50
 
7.8%
, 47
 
7.4%
1 44
 
6.9%
4 29
 
4.5%
3 26
 
4.1%
2 24
 
3.8%
5 22
 
3.4%
0 20
 
3.1%
Other values (6) 75
 
11.8%
Hangul
ValueCountFrequency (%)
인 61
 
6.5%
홀 55
 
5.8%
미 54
 
5.7%
추 54
 
5.7%
동 52
 
5.5%
역 51
 
5.4%
시 51
 
5.4%
광 51
 
5.4%
구 51
 
5.4%
천 51
 
5.4%
Other values (85) 410
43.6%

전화번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-01-29T00:45:57.617199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters612
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

Unique51 ?
Unique (%)100.0%

Sample

1st row032-882-1001
2nd row032-710-0086
3rd row032-886-6700
4th row032-868-9998
5th row032-422-9113
ValueCountFrequency (%)
032-882-1001 1
 
2.0%
032-442-7583 1
 
2.0%
032-428-8850 1
 
2.0%
032-255-5100 1
 
2.0%
032-868-7076 1
 
2.0%
032-875-2255 1
 
2.0%
032-888-3688 1
 
2.0%
032-876-3230 1
 
2.0%
032-442-3114 1
 
2.0%
032-433-5675 1
 
2.0%
Other values (41) 41
80.4%
2024-01-29T00:45:57.951570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 102
16.7%
2 96
15.7%
0 90
14.7%
3 78
12.7%
8 70
11.4%
4 35
 
5.7%
9 32
 
5.2%
1 30
 
4.9%
7 30
 
4.9%
6 25
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
83.3%
Dash Punctuation 102
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 96
18.8%
0 90
17.6%
3 78
15.3%
8 70
13.7%
4 35
 
6.9%
9 32
 
6.3%
1 30
 
5.9%
7 30
 
5.9%
6 25
 
4.9%
5 24
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 102
16.7%
2 96
15.7%
0 90
14.7%
3 78
12.7%
8 70
11.4%
4 35
 
5.7%
9 32
 
5.2%
1 30
 
4.9%
7 30
 
4.9%
6 25
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 102
16.7%
2 96
15.7%
0 90
14.7%
3 78
12.7%
8 70
11.4%
4 35
 
5.7%
9 32
 
5.2%
1 30
 
4.9%
7 30
 
4.9%
6 25
 
4.1%

위도
Real number (ℝ)

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455694
Minimum37.436401
Maximum37.468642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-01-29T00:45:58.084430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436401
5-th percentile37.440542
Q137.449091
median37.459132
Q337.462753
95-th percentile37.466756
Maximum37.468642
Range0.032241
Interquartile range (IQR)0.01366255

Descriptive statistics

Standard deviation0.0088046522
Coefficient of variation (CV)0.00023506846
Kurtosis-0.88483266
Mean37.455694
Median Absolute Deviation (MAD)0.0049403
Skewness-0.57230809
Sum1910.2404
Variance7.75219 × 10-5
MonotonicityNot monotonic
2024-01-29T00:45:58.219689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
37.4598375 3
 
5.9%
37.4638584 2
 
3.9%
37.4508965 2
 
3.9%
37.45623 2
 
3.9%
37.4570535 1
 
2.0%
37.44171042 1
 
2.0%
37.4471918 1
 
2.0%
37.4664542 1
 
2.0%
37.4454824 1
 
2.0%
37.4630728 1
 
2.0%
Other values (36) 36
70.6%
ValueCountFrequency (%)
37.4364006 1
2.0%
37.43926525 1
2.0%
37.4396527 1
2.0%
37.4414313 1
2.0%
37.44171042 1
2.0%
37.44210368 1
2.0%
37.4429925 1
2.0%
37.4436192 1
2.0%
37.4454824 1
2.0%
37.4456651 1
2.0%
ValueCountFrequency (%)
37.4686416 1
2.0%
37.46713129 1
2.0%
37.4670141 1
2.0%
37.4664978 1
2.0%
37.4664542 1
2.0%
37.46466676 1
2.0%
37.4640723 1
2.0%
37.4639042 1
2.0%
37.4638584 2
3.9%
37.4634694 1
2.0%

경도
Real number (ℝ)

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66922
Minimum126.63304
Maximum126.69395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-01-29T00:45:58.349708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63304
5-th percentile126.63694
Q1126.65051
median126.67296
Q3126.68394
95-th percentile126.69289
Maximum126.69395
Range0.0609151
Interquartile range (IQR)0.033428

Descriptive statistics

Standard deviation0.01895157
Coefficient of variation (CV)0.00014961464
Kurtosis-0.99409314
Mean126.66922
Median Absolute Deviation (MAD)0.01444
Skewness-0.52545456
Sum6460.1302
Variance0.00035916201
MonotonicityNot monotonic
2024-01-29T00:45:58.478356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
126.672956 3
 
5.9%
126.69394 2
 
3.9%
126.691846 2
 
3.9%
126.64084 2
 
3.9%
126.639061 1
 
2.0%
126.6707648 1
 
2.0%
126.668084 1
 
2.0%
126.652106 1
 
2.0%
126.668973 1
 
2.0%
126.683093 1
 
2.0%
Other values (36) 36
70.6%
ValueCountFrequency (%)
126.633037 1
2.0%
126.633046 1
2.0%
126.634827 1
2.0%
126.639061 1
2.0%
126.640054 1
2.0%
126.64084 2
3.9%
126.641025 1
2.0%
126.6457359 1
2.0%
126.647869 1
2.0%
126.647873 1
2.0%
ValueCountFrequency (%)
126.6939521 1
2.0%
126.69394 2
3.9%
126.691846 2
3.9%
126.6918313 1
2.0%
126.690206 1
2.0%
126.690115 1
2.0%
126.689947 1
2.0%
126.688568 1
2.0%
126.687396 1
2.0%
126.686504 1
2.0%

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

Interactions

2024-01-29T00:45:55.549049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:45:55.113051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:45:55.333404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:45:55.617382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:45:55.172074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:45:55.405025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:45:55.691440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:45:55.250198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:45:55.473194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:45:58.580921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번명칭도로명주소전화번호위도경도
연번1.0001.0001.0001.0000.0000.300
명칭1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.775
경도0.3001.0001.0001.0000.7751.000
2024-01-29T00:45:58.686584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.0400.108
위도-0.0401.0000.045
경도0.1080.0451.000

Missing values

2024-01-29T00:45:55.778233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:45:55.862077image/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

연번명칭도로명주소전화번호위도경도Unnamed: 6
01(인천)에벤에셀요양원인천광역시 미추홀구 아암대로29번길 48, 3층032-882-100137.457054126.639061<NA>
12The 숲 요양원인천광역시 미추홀구 미추로 53 (숭의동)032-710-008637.464667126.645736<NA>
23가람요양원인천광역시 미추홀구 매소홀로 81-1, 6층 (용현동, 은혜빌딩)032-886-670037.449229126.634827<NA>
34경인노인요양공동생활가정인천광역시 미추홀구 석정로 411, 5층 (주안동, 금창빌딩)032-868-999837.467014126.681199<NA>
45그린1요양원인천광역시 미추홀구 주안로213번길 10-1, 6층 (주안동)032-422-911337.463858126.69394<NA>
56그린2요양원인천광역시 미추홀구 주안로213번길 10-1, 7층 (주안동)032-422-911437.463858126.69394<NA>
67남구늘푸른노인요양원인천광역시 미추홀구 소성로 193-26 (학익동, 동남빌딩 2-5층)032-423-887037.441431126.670212<NA>
78노아요양원인천광역시 미추홀구 경원대로 892, 4층 (주안동, 대동빌딩)032-424-818837.462425126.690115<NA>
89노인요양원 행복의집인천광역시 미추홀구 아암대로29번길 86, 5층 (용현동, 백제당빌딩)032-887-023737.45623126.64084<NA>
910노인요양원 행복의집2인천광역시 미추홀구 아암대로29번길 86, 4층 (용현동, 백제당빌딩)032-887-023837.45623126.64084<NA>
연번명칭도로명주소전화번호위도경도Unnamed: 6
4142천사의집노인요양원인천광역시 미추홀구 소성로318번길 30 (문학동)032-435-925737.436401126.682177<NA>
4243포도나무요양원인천광역시 미추홀구 주승로 22, 2층(학익동)032-866-119137.443619126.672869<NA>
4344해피하우스요양원인천광역시 미추홀구 학익소로61번길 21-11, 2층 (학익동, 신화빌딩)032-876-889937.442993126.671086<NA>
4445햇살노인전문요양원인천광역시 미추홀구 인중로 13 (숭의동)032-891-955537.462457126.641025<NA>
4546햇살누리요양센터인천광역시 미추홀구 독배로 431 (용현동)032-891-958837.457885126.648913<NA>
4647행복드림요양원인천광역시 미추홀구 인주대로 495, 5층 (주안동)032-438-199937.450896126.691846<NA>
4748행복드림요양원2인천광역시 미추홀구 인주대로 495, 4층 (주안동)032-437-199037.450896126.691846<NA>
4849행복한요양원인천광역시 미추홀구 경원대로 858 (주안동,씨티프라자 7층)032-435-630037.459325126.689947<NA>
4950효다함요양원인천광역시 미추홀구 독배로 443, 411호 (숭의동)032-884-888337.458765126.647869<NA>
5051효담채요양원인천광역시 미추홀구 경인로 109 (숭의동)032-882-220037.466498126.654694<NA>