Overview

Dataset statistics

Number of variables12
Number of observations51
Missing cells138
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory101.6 B

Variable types

Numeric3
Text3
Boolean6

Dataset

Description인천광역시 미추홀구 암검진기관 현황에 대한 데이터입니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15088474

Alerts

위암 has constant value ""Constant
간암 has constant value ""Constant
대장암 has constant value ""Constant
유방암 has constant value ""Constant
자궁경부암 has constant value ""Constant
폐암 has constant value ""Constant
위암 has 13 (25.5%) missing valuesMissing
간암 has 13 (25.5%) missing valuesMissing
대장암 has 17 (33.3%) missing valuesMissing
유방암 has 26 (51.0%) missing valuesMissing
자궁경부암 has 20 (39.2%) missing valuesMissing
폐암 has 49 (96.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:44:14.573240
Analysis finished2024-01-28 13:44:16.002139
Duration1.43 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
2024-01-28T22:44:16.069796image/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
2024-01-28T22:44:16.185421image/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%

기관명
Text

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-01-28T22:44:16.388930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.8235294
Min length4

Characters and Unicode

Total characters399
Distinct characters104
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)96.1%

Sample

1st rowW(더블유)여성병원
2nd row고려영상의학과의원
3rd row고은여성병원
4th row기독내과의원
5th row김동수내과의원
ValueCountFrequency (%)
세영산부인과의원 2
 
3.8%
제일유외과의원 1
 
1.9%
조용현내과의원 1
 
1.9%
의료법인아인의료재단서울의원 1
 
1.9%
의료법인 1
 
1.9%
인천사랑병원 1
 
1.9%
인천베드로요양병원 1
 
1.9%
인천의원 1
 
1.9%
인천제일산부인과의원 1
 
1.9%
정내과의원 1
 
1.9%
Other values (41) 41
78.8%
2024-01-28T22:44:16.722118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 52
 
13.0%
의 49
 
12.3%
과 36
 
9.0%
내 25
 
6.3%
인 16
 
4.0%
병 10
 
2.5%
정 8
 
2.0%
산 7
 
1.8%
부 7
 
1.8%
성 6
 
1.5%
Other values (94) 183
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 395
99.0%
Space Separator 1
 
0.3%
Open Punctuation 1
 
0.3%
Uppercase Letter 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 52
 
13.2%
의 49
 
12.4%
과 36
 
9.1%
내 25
 
6.3%
인 16
 
4.1%
병 10
 
2.5%
정 8
 
2.0%
산 7
 
1.8%
부 7
 
1.8%
성 6
 
1.5%
Other values (90) 179
45.3%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 395
99.0%
Common 3
 
0.8%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 52
 
13.2%
의 49
 
12.4%
과 36
 
9.1%
내 25
 
6.3%
인 16
 
4.1%
병 10
 
2.5%
정 8
 
2.0%
산 7
 
1.8%
부 7
 
1.8%
성 6
 
1.5%
Other values (90) 179
45.3%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 395
99.0%
ASCII 4
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 52
 
13.2%
의 49
 
12.4%
과 36
 
9.1%
내 25
 
6.3%
인 16
 
4.1%
병 10
 
2.5%
정 8
 
2.0%
산 7
 
1.8%
부 7
 
1.8%
성 6
 
1.5%
Other values (90) 179
45.3%
ASCII
ValueCountFrequency (%)
1
25.0%
( 1
25.0%
W 1
25.0%
) 1
25.0%

도로명주소
Text

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-01-28T22:44:16.965869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length28.058824
Min length22

Characters and Unicode

Total characters1431
Distinct characters95
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

Unique49 ?
Unique (%)96.1%

Sample

1st row인천광역시 미추홀구 인주대로 400 제일여성병원 (주안동)
2nd row인천광역시 미추홀구 경원대로865 (주안동)
3rd row인천광역시 미추홀구 독배로 463 (숭의동)
4th row인천광역시 미추홀구 석정로 123-1(숭의동)
5th row인천광역시 미추홀구 미추홀대로 573(주안동)
ValueCountFrequency (%)
인천광역시 51
18.1%
미추홀구 51
18.1%
주안동 18
 
6.4%
용현동 10
 
3.6%
숭의동 7
 
2.5%
미추홀대로 7
 
2.5%
경인로 6
 
2.1%
학익동 5
 
1.8%
독배로 5
 
1.8%
2층 4
 
1.4%
Other values (96) 117
41.6%
2024-01-28T22:44:17.313434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
 
16.1%
홀 63
 
4.4%
인 61
 
4.3%
미 59
 
4.1%
추 59
 
4.1%
로 53
 
3.7%
시 52
 
3.6%
동 52
 
3.6%
광 51
 
3.6%
역 51
 
3.6%
Other values (85) 699
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 898
62.8%
Space Separator 231
 
16.1%
Decimal Number 183
 
12.8%
Close Punctuation 50
 
3.5%
Open Punctuation 50
 
3.5%
Other Punctuation 11
 
0.8%
Dash Punctuation 7
 
0.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 63
 
7.0%
인 61
 
6.8%
미 59
 
6.6%
추 59
 
6.6%
로 53
 
5.9%
시 52
 
5.8%
동 52
 
5.8%
광 51
 
5.7%
역 51
 
5.7%
구 51
 
5.7%
Other values (69) 346
38.5%
Decimal Number
ValueCountFrequency (%)
1 26
14.2%
4 23
12.6%
2 20
10.9%
6 20
10.9%
0 19
10.4%
5 19
10.4%
3 18
9.8%
8 16
8.7%
7 12
6.6%
9 10
 
5.5%
Space Separator
ValueCountFrequency (%)
231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 898
62.8%
Common 533
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 63
 
7.0%
인 61
 
6.8%
미 59
 
6.6%
추 59
 
6.6%
로 53
 
5.9%
시 52
 
5.8%
동 52
 
5.8%
광 51
 
5.7%
역 51
 
5.7%
구 51
 
5.7%
Other values (69) 346
38.5%
Common
ValueCountFrequency (%)
231
43.3%
) 50
 
9.4%
( 50
 
9.4%
1 26
 
4.9%
4 23
 
4.3%
2 20
 
3.8%
6 20
 
3.8%
0 19
 
3.6%
5 19
 
3.6%
3 18
 
3.4%
Other values (6) 57
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 898
62.8%
ASCII 533
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
43.3%
) 50
 
9.4%
( 50
 
9.4%
1 26
 
4.9%
4 23
 
4.3%
2 20
 
3.8%
6 20
 
3.8%
0 19
 
3.6%
5 19
 
3.6%
3 18
 
3.4%
Other values (6) 57
 
10.7%
Hangul
ValueCountFrequency (%)
홀 63
 
7.0%
인 61
 
6.8%
미 59
 
6.6%
추 59
 
6.6%
로 53
 
5.9%
시 52
 
5.8%
동 52
 
5.8%
광 51
 
5.7%
역 51
 
5.7%
구 51
 
5.7%
Other values (69) 346
38.5%

전화번호
Text

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-01-28T22:44:17.519733image/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

Unique49 ?
Unique (%)96.1%

Sample

1st row032-451-0000
2nd row032-441-6000
3rd row032-883-3535
4th row032-766-2511
5th row032-872-2500
ValueCountFrequency (%)
032-886-8600 2
 
3.9%
032-437-1212 1
 
2.0%
032-863-7700 1
 
2.0%
032-867-8275 1
 
2.0%
032-456-3500 1
 
2.0%
032-425-2000 1
 
2.0%
032-884-3300 1
 
2.0%
032-868-1771 1
 
2.0%
032-889-7575 1
 
2.0%
032-424-3844 1
 
2.0%
Other values (40) 40
78.4%
2024-01-28T22:44:17.836000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 102
16.7%
0 97
15.8%
2 91
14.9%
3 77
12.6%
8 67
10.9%
7 39
 
6.4%
5 39
 
6.4%
1 34
 
5.6%
4 29
 
4.7%
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 (%)
0 97
19.0%
2 91
17.8%
3 77
15.1%
8 67
13.1%
7 39
7.6%
5 39
7.6%
1 34
 
6.7%
4 29
 
5.7%
6 25
 
4.9%
9 12
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 102
16.7%
0 97
15.8%
2 91
14.9%
3 77
12.6%
8 67
10.9%
7 39
 
6.4%
5 39
 
6.4%
1 34
 
5.6%
4 29
 
4.7%
6 25
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 102
16.7%
0 97
15.8%
2 91
14.9%
3 77
12.6%
8 67
10.9%
7 39
 
6.4%
5 39
 
6.4%
1 34
 
5.6%
4 29
 
4.7%
6 25
 
4.1%

위암
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.6%
Missing13
Missing (%)25.5%
Memory size234.0 B
True
38 
(Missing)
13 
ValueCountFrequency (%)
True 38
74.5%
(Missing) 13
 
25.5%
2024-01-28T22:44:17.948351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

간암
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.6%
Missing13
Missing (%)25.5%
Memory size234.0 B
True
38 
(Missing)
13 
ValueCountFrequency (%)
True 38
74.5%
(Missing) 13
 
25.5%
2024-01-28T22:44:18.306247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대장암
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.9%
Missing17
Missing (%)33.3%
Memory size234.0 B
True
34 
(Missing)
17 
ValueCountFrequency (%)
True 34
66.7%
(Missing) 17
33.3%
2024-01-28T22:44:18.367652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

유방암
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)4.0%
Missing26
Missing (%)51.0%
Memory size234.0 B
True
25 
(Missing)
26 
ValueCountFrequency (%)
True 25
49.0%
(Missing) 26
51.0%
2024-01-28T22:44:18.428394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자궁경부암
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.2%
Missing20
Missing (%)39.2%
Memory size234.0 B
True
31 
(Missing)
20 
ValueCountFrequency (%)
True 31
60.8%
(Missing) 20
39.2%
2024-01-28T22:44:18.497699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

폐암
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing49
Missing (%)96.1%
Memory size234.0 B
True
 
2
(Missing)
49 
ValueCountFrequency (%)
True 2
 
3.9%
(Missing) 49
96.1%
2024-01-28T22:44:18.565727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위도
Real number (ℝ)

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.454993
Minimum37.439265
Maximum37.468896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-01-28T22:44:18.670172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.439265
5-th percentile37.439498
Q137.449993
median37.456593
Q337.460455
95-th percentile37.466831
Maximum37.468896
Range0.02963078
Interquartile range (IQR)0.01046204

Descriptive statistics

Standard deviation0.0082157622
Coefficient of variation (CV)0.00021935025
Kurtosis-0.69667206
Mean37.454993
Median Absolute Deviation (MAD)0.00553643
Skewness-0.29775043
Sum1910.2046
Variance6.7498748 × 10-5
MonotonicityNot monotonic
2024-01-28T22:44:18.796067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
37.44999319 3
 
5.9%
37.46039207 2
 
3.9%
37.45956629 1
 
2.0%
37.45110089 1
 
2.0%
37.462129 1
 
2.0%
37.46653094 1
 
2.0%
37.4493652 1
 
2.0%
37.45183772 1
 
2.0%
37.46196514 1
 
2.0%
37.45669189 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
37.43926519 1
2.0%
37.43934765 1
2.0%
37.4394622 1
2.0%
37.43953362 1
2.0%
37.4414509 1
2.0%
37.44184925 1
2.0%
37.44331142 1
2.0%
37.4477678 1
2.0%
37.44814624 1
2.0%
37.44853096 1
2.0%
ValueCountFrequency (%)
37.46889597 1
2.0%
37.46857416 1
2.0%
37.46713129 1
2.0%
37.46653094 1
2.0%
37.46628217 1
2.0%
37.46599819 1
2.0%
37.4649698 1
2.0%
37.46412897 1
2.0%
37.462129 1
2.0%
37.46200414 1
2.0%

경도
Real number (ℝ)

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66684
Minimum126.63362
Maximum126.69502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-01-28T22:44:18.919469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63362
5-th percentile126.63367
Q1126.64806
median126.67184
Q3126.68303
95-th percentile126.69052
Maximum126.69502
Range0.0614006
Interquartile range (IQR)0.0349736

Descriptive statistics

Standard deviation0.020378816
Coefficient of variation (CV)0.00016088517
Kurtosis-1.3606785
Mean126.66684
Median Absolute Deviation (MAD)0.0172847
Skewness-0.3787845
Sum6460.0088
Variance0.00041529616
MonotonicityNot monotonic
2024-01-28T22:44:19.056356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
126.6336714 3
 
5.9%
126.6891379 2
 
3.9%
126.6804203 1
 
2.0%
126.6903846 1
 
2.0%
126.680587 1
 
2.0%
126.6544081 1
 
2.0%
126.6793081 1
 
2.0%
126.6374057 1
 
2.0%
126.6797888 1
 
2.0%
126.6796881 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
126.6336152 1
 
2.0%
126.6336714 3
5.9%
126.6344541 1
 
2.0%
126.6372774 1
 
2.0%
126.6374057 1
 
2.0%
126.6375535 1
 
2.0%
126.6411399 1
 
2.0%
126.64294 1
 
2.0%
126.6436824 1
 
2.0%
126.6460763 1
 
2.0%
ValueCountFrequency (%)
126.6950158 1
2.0%
126.6934638 1
2.0%
126.6906588 1
2.0%
126.6903846 1
2.0%
126.6898433 1
2.0%
126.689327 1
2.0%
126.6891379 2
3.9%
126.6891204 1
2.0%
126.6878803 1
2.0%
126.687874 1
2.0%

Interactions

2024-01-28T22:44:15.432077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:44:14.988302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:44:15.208219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:44:15.499982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:44:15.059855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:44:15.282864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:44:15.578243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:44:15.133707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:44:15.355169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:44:19.149642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명도로명주소전화번호위도경도
연번1.0001.0000.9451.0000.1170.561
기관명1.0001.0000.9981.0001.0001.000
도로명주소0.9450.9981.0000.9981.0001.000
전화번호1.0001.0000.9981.0001.0001.000
위도0.1171.0001.0001.0001.0000.868
경도0.5611.0001.0001.0000.8681.000
2024-01-28T22:44:19.244966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.097-0.076
위도0.0971.0000.117
경도-0.0760.1171.000

Missing values

2024-01-28T22:44:15.691181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:44:15.830369image/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.
2024-01-28T22:44:15.932818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번기관명도로명주소전화번호위암간암대장암유방암자궁경부암폐암위도경도
01W(더블유)여성병원인천광역시 미추홀구 인주대로 400 제일여성병원 (주안동)032-451-0000<NA><NA><NA>YY<NA>37.450979126.68099
12고려영상의학과의원인천광역시 미추홀구 경원대로865 (주안동)032-441-6000<NA>Y<NA>Y<NA><NA>37.460054126.68912
23고은여성병원인천광역시 미추홀구 독배로 463 (숭의동)032-883-3535<NA><NA><NA>YY<NA>37.460071126.647103
34기독내과의원인천광역시 미추홀구 석정로 123-1(숭의동)032-766-2511YYYY<NA><NA>37.468896126.649018
45김동수내과의원인천광역시 미추홀구 미추홀대로 573(주안동)032-872-2500YYYYY<NA>37.448531126.679311
56김은아의건강한내과의원인천광역시 미추홀구 독배로 311 5층 501호 (용현동, 비젼프라자)032-209-9575YYY<NA><NA><NA>37.448146126.64912
67김철내과의원인천광역시 미추홀구 소성로 135 (학익동)032-874-8575YYYYY<NA>37.443311126.664006
78나누리병원인천광역시 미추홀구 인주대 로 485(주안동)032-721-9716YYYYY<NA>37.451081126.690659
89다정한내과의원인천광역시 미추홀구 낙섬서로 4 (용현동)032-888-9003YYY<NA><NA><NA>37.449993126.633671
910문영주내과의원인천광역시 미추홀구 경인로 485 (주안동)032-425-2111YYY<NA><NA><NA>37.459751126.693464
연번기관명도로명주소전화번호위암간암대장암유방암자궁경부암폐암위도경도
4142최박내과의원인천광역시 미추홀구 경원대 로869 (주안동)032-420-0092YYY<NA><NA><NA>37.460392126.689138
4243하기수내과의원인천광역시 미추홀구 석정로 436 (주안동)032-873-8275YYY<NA><NA><NA>37.466282126.684018
4344한국건강관리협회건강증진의원인천광역시 미추홀구 독배로 500 (숭의동)032-890-8700YYYYY<NA>37.462004126.643682
4445한사랑내과의원인천광역시 미추홀구 수봉로 22-1 5층 (숭의동, 새마을금고)032-865-1171YYYYY<NA>37.464129126.656022
4546한사랑여성의원인천광역시 미추홀구 토금중로 8 4층5층 (용현동)032-888-9016<NA><NA><NA><NA>Y<NA>37.454066126.634454
4647행복한내과의원인천광역시 미추홀구 한나루로 591 (도화동)032-863-3338YYYYY<NA>37.458865126.671836
4748현대가정의원인천광역시 미추홀구 매소홀로355 (학익동)032-214-2214YYY<NA>Y<NA>37.441451126.661976
4849현대산부인과의원인천광역시 미추홀구 매소홀로 448 202호 (학익동, 대성빌딩)032-872-5353<NA><NA><NA><NA>Y<NA>37.439462126.671667
4950현대성모의원인천광역시 미추홀구 매소홀로 442 (학익동)032-863-7700YY<NA><NA><NA><NA>37.439534126.671036
5051현대유비스병원인천광역시 미추홀구 독배로 503-0 현대유비스병원 (숭의동)032-888-7575YYYYYY37.461498126.64294