Overview

Dataset statistics

Number of variables6
Number of observations474
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.7 KiB
Average record size in memory51.3 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구의 의료기관 현황 데이터로 의료기관명, 도로명주소, 전화번호, 위경도 등의 정보를 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15051498&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:19:24.213880
Analysis finished2024-03-18 03:19:27.073127
Duration2.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct474
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.5
Minimum1
Maximum474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-03-18T12:19:27.171664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.65
Q1119.25
median237.5
Q3355.75
95-th percentile450.35
Maximum474
Range473
Interquartile range (IQR)236.5

Descriptive statistics

Standard deviation136.97628
Coefficient of variation (CV)0.57674221
Kurtosis-1.2
Mean237.5
Median Absolute Deviation (MAD)118.5
Skewness0
Sum112575
Variance18762.5
MonotonicityStrictly increasing
2024-03-18T12:19:27.340624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
313 1
 
0.2%
325 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
320 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
Other values (464) 464
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
474 1
0.2%
473 1
0.2%
472 1
0.2%
471 1
0.2%
470 1
0.2%
469 1
0.2%
468 1
0.2%
467 1
0.2%
466 1
0.2%
465 1
0.2%

의료기관명
Text

UNIQUE 

Distinct474
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-03-18T12:19:27.617822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.4345992
Min length3

Characters and Unicode

Total characters3524
Distinct characters312
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique474 ?
Unique (%)100.0%

Sample

1st row(사)모퉁이복지재단 인천재활의원
2nd row365아이맘의원
3rd rowCnB맑고고운본점의원
4th rowSNC시카고치과의원
5th row감동e플란트치과의원
ValueCountFrequency (%)
사)모퉁이복지재단 1
 
0.2%
예지항외과의원 1
 
0.2%
주안연세의원 1
 
0.2%
전성구치과의원 1
 
0.2%
장편한내과의원 1
 
0.2%
장진요한의원 1
 
0.2%
잘보는성모안과의원 1
 
0.2%
자인한의원 1
 
0.2%
자연봄한의원 1
 
0.2%
임배문한의원 1
 
0.2%
Other values (471) 471
97.9%
2024-03-18T12:19:27.978455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 491
 
13.9%
의 468
 
13.3%
과 292
 
8.3%
치 132
 
3.7%
한 124
 
3.5%
인 66
 
1.9%
정 64
 
1.8%
이 54
 
1.5%
병 43
 
1.2%
내 38
 
1.1%
Other values (302) 1752
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3482
98.8%
Uppercase Letter 11
 
0.3%
Open Punctuation 7
 
0.2%
Space Separator 7
 
0.2%
Close Punctuation 7
 
0.2%
Lowercase Letter 6
 
0.2%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 491
 
14.1%
의 468
 
13.4%
과 292
 
8.4%
치 132
 
3.8%
한 124
 
3.6%
인 66
 
1.9%
정 64
 
1.8%
이 54
 
1.6%
병 43
 
1.2%
내 38
 
1.1%
Other values (285) 1710
49.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
J 2
18.2%
S 2
18.2%
W 1
 
9.1%
N 1
 
9.1%
B 1
 
9.1%
Y 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
3 1
25.0%
6 1
25.0%
5 1
25.0%
1 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
33.3%
n 2
33.3%
e 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3482
98.8%
Common 25
 
0.7%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 491
 
14.1%
의 468
 
13.4%
과 292
 
8.4%
치 132
 
3.8%
한 124
 
3.6%
인 66
 
1.9%
정 64
 
1.8%
이 54
 
1.6%
병 43
 
1.2%
내 38
 
1.1%
Other values (285) 1710
49.1%
Latin
ValueCountFrequency (%)
C 3
17.6%
J 2
11.8%
S 2
11.8%
m 2
11.8%
n 2
11.8%
e 2
11.8%
W 1
 
5.9%
N 1
 
5.9%
B 1
 
5.9%
Y 1
 
5.9%
Common
ValueCountFrequency (%)
( 7
28.0%
7
28.0%
) 7
28.0%
3 1
 
4.0%
6 1
 
4.0%
5 1
 
4.0%
1 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3482
98.8%
ASCII 42
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 491
 
14.1%
의 468
 
13.4%
과 292
 
8.4%
치 132
 
3.8%
한 124
 
3.6%
인 66
 
1.9%
정 64
 
1.8%
이 54
 
1.6%
병 43
 
1.2%
내 38
 
1.1%
Other values (285) 1710
49.1%
ASCII
ValueCountFrequency (%)
( 7
16.7%
7
16.7%
) 7
16.7%
C 3
7.1%
J 2
 
4.8%
S 2
 
4.8%
m 2
 
4.8%
n 2
 
4.8%
e 2
 
4.8%
3 1
 
2.4%
Other values (7) 7
16.7%

도로명주소
Text

Distinct420
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-03-18T12:19:28.252208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length47
Mean length29.679325
Min length22

Characters and Unicode

Total characters14068
Distinct characters204
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

Unique385 ?
Unique (%)81.2%

Sample

1st row인천광역시 미추홀구 인주대로 290 (주안동)
2nd row인천광역시 미추홀구 소성로 6, 지하1층 (용현동, 홈플러스)
3rd row인천광역시 미추홀구 미추홀대로 610, 3층 (주안동)
4th row인천광역시 미추홀구 독배로 311, 비젼프라자 3층 302호 (용현동)
5th row인천광역시 미추홀구 석정로 391, 4층 (주안동)
ValueCountFrequency (%)
인천광역시 474
 
17.1%
미추홀구 474
 
17.1%
주안동 226
 
8.2%
용현동 114
 
4.1%
경인로 54
 
1.9%
2층 53
 
1.9%
미추홀대로 49
 
1.8%
도화동 46
 
1.7%
학익동 42
 
1.5%
3층 37
 
1.3%
Other values (502) 1203
43.4%
2024-03-18T12:19:28.687923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2305
 
16.4%
인 611
 
4.3%
홀 555
 
3.9%
추 534
 
3.8%
미 534
 
3.8%
동 483
 
3.4%
구 482
 
3.4%
( 480
 
3.4%
) 480
 
3.4%
광 479
 
3.4%
Other values (194) 7125
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8500
60.4%
Space Separator 2305
 
16.4%
Decimal Number 1920
 
13.6%
Open Punctuation 480
 
3.4%
Close Punctuation 480
 
3.4%
Other Punctuation 306
 
2.2%
Dash Punctuation 38
 
0.3%
Math Symbol 26
 
0.2%
Uppercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 611
 
7.2%
홀 555
 
6.5%
추 534
 
6.3%
미 534
 
6.3%
동 483
 
5.7%
구 482
 
5.7%
광 479
 
5.6%
천 479
 
5.6%
시 476
 
5.6%
역 475
 
5.6%
Other values (170) 3392
39.9%
Decimal Number
ValueCountFrequency (%)
2 307
16.0%
3 305
15.9%
1 296
15.4%
4 213
11.1%
0 167
8.7%
6 150
7.8%
5 149
7.8%
8 128
6.7%
7 114
 
5.9%
9 91
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
N 4
30.8%
P 2
15.4%
I 2
15.4%
E 2
15.4%
A 1
 
7.7%
B 1
 
7.7%
C 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 305
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 480
100.0%
Close Punctuation
ValueCountFrequency (%)
) 480
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8500
60.4%
Common 5555
39.5%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 611
 
7.2%
홀 555
 
6.5%
추 534
 
6.3%
미 534
 
6.3%
동 483
 
5.7%
구 482
 
5.7%
광 479
 
5.6%
천 479
 
5.6%
시 476
 
5.6%
역 475
 
5.6%
Other values (170) 3392
39.9%
Common
ValueCountFrequency (%)
2305
41.5%
( 480
 
8.6%
) 480
 
8.6%
2 307
 
5.5%
3 305
 
5.5%
, 305
 
5.5%
1 296
 
5.3%
4 213
 
3.8%
0 167
 
3.0%
6 150
 
2.7%
Other values (7) 547
 
9.8%
Latin
ValueCountFrequency (%)
N 4
30.8%
P 2
15.4%
I 2
15.4%
E 2
15.4%
A 1
 
7.7%
B 1
 
7.7%
C 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8500
60.4%
ASCII 5568
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2305
41.4%
( 480
 
8.6%
) 480
 
8.6%
2 307
 
5.5%
3 305
 
5.5%
, 305
 
5.5%
1 296
 
5.3%
4 213
 
3.8%
0 167
 
3.0%
6 150
 
2.7%
Other values (14) 560
 
10.1%
Hangul
ValueCountFrequency (%)
인 611
 
7.2%
홀 555
 
6.5%
추 534
 
6.3%
미 534
 
6.3%
동 483
 
5.7%
구 482
 
5.7%
광 479
 
5.6%
천 479
 
5.6%
시 476
 
5.6%
역 475
 
5.6%
Other values (170) 3392
39.9%

전화번호
Text

UNIQUE 

Distinct474
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-03-18T12:19:28.908998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.966245
Min length8

Characters and Unicode

Total characters5672
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

Unique474 ?
Unique (%)100.0%

Sample

1st row032-861-0102
2nd row032-875-8275
3rd row032-710-7599
4th row032-224-2275
5th row032-228-2275
ValueCountFrequency (%)
032-861-0102 1
 
0.2%
032-883-0380 1
 
0.2%
032-876-6388 1
 
0.2%
032-426-9200 1
 
0.2%
032-881-9073 1
 
0.2%
032-885-7510 1
 
0.2%
032-883-0128 1
 
0.2%
032-441-3379 1
 
0.2%
032-887-2879 1
 
0.2%
032-882-9700 1
 
0.2%
Other values (464) 464
97.9%
2024-03-18T12:19:29.302773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 943
16.6%
2 908
16.0%
0 762
13.4%
8 702
12.4%
3 687
12.1%
7 413
7.3%
5 326
 
5.7%
4 302
 
5.3%
6 250
 
4.4%
1 234
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4729
83.4%
Dash Punctuation 943
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 908
19.2%
0 762
16.1%
8 702
14.8%
3 687
14.5%
7 413
8.7%
5 326
 
6.9%
4 302
 
6.4%
6 250
 
5.3%
1 234
 
4.9%
9 145
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 943
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 943
16.6%
2 908
16.0%
0 762
13.4%
8 702
12.4%
3 687
12.1%
7 413
7.3%
5 326
 
5.7%
4 302
 
5.3%
6 250
 
4.4%
1 234
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 943
16.6%
2 908
16.0%
0 762
13.4%
8 702
12.4%
3 687
12.1%
7 413
7.3%
5 326
 
5.7%
4 302
 
5.3%
6 250
 
4.4%
1 234
 
4.1%

위도
Real number (ℝ)

Distinct325
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455222
Minimum37.43741
Maximum37.472367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-03-18T12:19:29.531171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.43741
5-th percentile37.442286
Q137.44853
median37.457113
Q337.460392
95-th percentile37.467829
Maximum37.472367
Range0.0349574
Interquartile range (IQR)0.01186196

Descriptive statistics

Standard deviation0.0078363846
Coefficient of variation (CV)0.00020922008
Kurtosis-0.74962358
Mean37.455222
Median Absolute Deviation (MAD)0.00629452
Skewness-0.080958571
Sum17753.775
Variance6.1408923 × 10-5
MonotonicityNot monotonic
2024-03-18T12:19:29.720725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.44814624 8
 
1.7%
37.44779291 8
 
1.7%
37.45843328 7
 
1.5%
37.46039207 6
 
1.3%
37.4593647 5
 
1.1%
37.44831203 5
 
1.1%
37.45858353 5
 
1.1%
37.44999319 5
 
1.1%
37.45956629 5
 
1.1%
37.46196514 4
 
0.8%
Other values (315) 416
87.8%
ValueCountFrequency (%)
37.43740989 1
 
0.2%
37.43760258 2
0.4%
37.43926519 2
0.4%
37.43929879 2
0.4%
37.43934765 1
 
0.2%
37.43949224 2
0.4%
37.43953362 3
0.6%
37.43989892 1
 
0.2%
37.44014984 2
0.4%
37.44064662 1
 
0.2%
ValueCountFrequency (%)
37.47236729 1
 
0.2%
37.47211604 2
0.4%
37.47104179 1
 
0.2%
37.47047277 1
 
0.2%
37.4701339 3
0.6%
37.46991797 3
0.6%
37.4694746 1
 
0.2%
37.46889597 1
 
0.2%
37.46857416 2
0.4%
37.46843288 1
 
0.2%

경도
Real number (ℝ)

Distinct325
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66848
Minimum126.63226
Maximum126.6985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-03-18T12:19:29.875951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63226
5-th percentile126.63708
Q1126.65085
median126.6744
Q3126.68116
95-th percentile126.69162
Maximum126.6985
Range0.0662413
Interquartile range (IQR)0.0303139

Descriptive statistics

Standard deviation0.018254078
Coefficient of variation (CV)0.00014410908
Kurtosis-1.0365341
Mean126.66848
Median Absolute Deviation (MAD)0.0124243
Skewness-0.4718195
Sum60040.86
Variance0.00033321136
MonotonicityNot monotonic
2024-03-18T12:19:30.037423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6491202 8
 
1.7%
126.6492579 8
 
1.7%
126.6898253 7
 
1.5%
126.6891379 6
 
1.3%
126.6898433 5
 
1.1%
126.6787189 5
 
1.1%
126.6744006 5
 
1.1%
126.6336714 5
 
1.1%
126.6804203 5
 
1.1%
126.6797888 4
 
0.8%
Other values (315) 416
87.8%
ValueCountFrequency (%)
126.6322635 2
 
0.4%
126.6332262 1
 
0.2%
126.6332704 3
0.6%
126.6333731 1
 
0.2%
126.6336714 5
1.1%
126.6341373 1
 
0.2%
126.6341424 1
 
0.2%
126.6344541 1
 
0.2%
126.635584 1
 
0.2%
126.6355969 1
 
0.2%
ValueCountFrequency (%)
126.6985048 1
0.2%
126.6966793 2
0.4%
126.6962602 1
0.2%
126.6962105 2
0.4%
126.6952992 2
0.4%
126.6947749 2
0.4%
126.694756 1
0.2%
126.6944531 1
0.2%
126.6944484 1
0.2%
126.6940218 1
0.2%

Interactions

2024-03-18T12:19:26.572731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:25.902177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:26.275439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:26.666128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:26.053802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:26.365952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:26.761520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:26.163290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:26.466313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:19:30.128719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.2950.304
위도0.2951.0000.839
경도0.3040.8391.000
2024-03-18T12:19:30.213905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.008-0.002
위도-0.0081.0000.156
경도-0.0020.1561.000

Missing values

2024-03-18T12:19:26.892410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:19:27.012176image/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

연번의료기관명도로명주소전화번호위도경도
01(사)모퉁이복지재단 인천재활의원인천광역시 미추홀구 인주대로 290 (주안동)032-861-010237.451875126.668625
12365아이맘의원인천광역시 미추홀구 소성로 6, 지하1층 (용현동, 홈플러스)032-875-827537.447067126.650849
23CnB맑고고운본점의원인천광역시 미추홀구 미추홀대로 610, 3층 (주안동)032-710-759937.451817126.680048
34SNC시카고치과의원인천광역시 미추홀구 독배로 311, 비젼프라자 3층 302호 (용현동)032-224-227537.448146126.64912
45감동e플란트치과의원인천광역시 미추홀구 석정로 391, 4층 (주안동)032-228-227537.467196126.678997
56감초당한의원인천광역시 미추홀구 인하로 276 (주안동,남부종합 2층)032-872-747537.447867126.67872
67감초한의원인천광역시 미추홀구 소성로 136 (학익동)032-875-890037.442902126.663685
78강명건치과의원인천광역시 미추홀구 석정로 37-1 (숭의동)032-882-265037.463202126.643096
89강명선비뇨기과의원인천광역시 미추홀구 미추홀대로 735 (주안동)032-864-400137.463228126.68008
910강준영치과의원인천광역시 미추홀구 토금중로 20 (용현동)032-883-197337.453499126.635614
연번의료기관명도로명주소전화번호위도경도
464465인천드림요양병원인천광역시 미추홀구 경인로 46, 상아빌딩 지2~9층 (숭의동)032-887-760037.464172126.648277
465466인천사랑병원인천광역시 미추홀구 미추홀대로 726 (주안동)032-425-200137.462198126.680684
466467인천사랑요양병원인천광역시 미추홀구 경인로 400 (주안동, 지하2층~지하1층, 1층일부~10층)032-421-050337.457866126.684318
467468인천우리병원인천광역시 미추홀구 석바위로53번길 8 (주안동)032-715-530037.461269126.678982
468469인천한방병원인천광역시 미추홀구 석정로 6, 인천한방병원 1~4일부층,5층 (숭의동)032-554-758237.460285126.642094
469470저스트병원인천광역시 미추홀구 석정로 21, 4층 (숭의동)1544-155437.46174126.642049
470471지성병원인천광역시 미추홀구 아암대로 109 (용현동, 5, 6, 7, 8층)032-862-554437.452051126.632263
471472치유한방병원인천광역시 미추홀구 인주대로 442, 1층일부,2~6층 (주안동)032-212-767637.450728126.685692
472473한국보훈복지의료공단 인천보훈병원인천광역시 미추홀구 인주대로 138, 인천보훈병원 지(1,2),1~7층 (용현동)032-363-980037.455738126.652442
473474현대유비스병원인천광역시 미추홀구 독배로 503 (숭의동)032-888-757537.461611126.643007