Overview

Dataset statistics

Number of variables12
Number of observations52
Missing cells74
Missing cells (%)11.9%
Duplicate rows1
Duplicate rows (%)1.9%
Total size in memory5.0 KiB
Average record size in memory98.5 B

Variable types

Categorical7
Text4
DateTime1

Dataset

Description광진구 일반 건강검진기관 현황 (검진기관명, 주소, 전화번호, 일반검진, 위암, 유방암, 대장암, 간암, 자궁경부암, 폐암) 등을 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15052414/fileData.do

Alerts

폐암 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (1.9%) duplicate rowsDuplicates
일반검진 is highly overall correlated with 구분 and 5 other fieldsHigh correlation
자궁경부암 is highly overall correlated with 구분 and 5 other fieldsHigh correlation
대장암 is highly overall correlated with 구분 and 5 other fieldsHigh correlation
간암 is highly overall correlated with 구분 and 5 other fieldsHigh correlation
위암 is highly overall correlated with 구분 and 5 other fieldsHigh correlation
구분 is highly overall correlated with 일반검진 and 5 other fieldsHigh correlation
유방암 is highly overall correlated with 구분 and 5 other fieldsHigh correlation
검진기관명 has 6 (11.5%) missing valuesMissing
주소 has 6 (11.5%) missing valuesMissing
전화번호 has 6 (11.5%) missing valuesMissing
폐암 has 50 (96.2%) missing valuesMissing
데이터기준일자 has 6 (11.5%) missing valuesMissing

Reproduction

Analysis started2024-03-14 15:04:34.953724
Analysis finished2024-03-14 15:04:37.329982
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size544.0 B
검진기관(일반)
46 
<NA>
6 

Length

Max length8
Median length8
Mean length7.5384615
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row검진기관(일반)
2nd row검진기관(일반)
3rd row검진기관(일반)
4th row검진기관(일반)
5th row검진기관(일반)

Common Values

ValueCountFrequency (%)
검진기관(일반) 46
88.5%
<NA> 6
 
11.5%

Length

2024-03-15T00:04:37.570673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:04:37.843771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검진기관(일반 46
88.5%
na 6
 
11.5%

검진기관명
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing6
Missing (%)11.5%
Memory size544.0 B
2024-03-15T00:04:38.590114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length11
Mean length7.8478261
Min length4

Characters and Unicode

Total characters361
Distinct characters121
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

Unique46 ?
Unique (%)100.0%

Sample

1st row서울내과의원
2nd row길내과의원
3rd row이내과의원
4th row삼성열린내과의원
5th row김신응내과의원
ValueCountFrequency (%)
화양영상의학과의원 1
 
2.1%
이내과의원 1
 
2.1%
국립정신건강센터 1
 
2.1%
중곡제일내과의원 1
 
2.1%
고려h내과의원 1
 
2.1%
더불어내과의원 1
 
2.1%
수가정의학과의원 1
 
2.1%
서울굿모닝내과의원 1
 
2.1%
아산한빛의원 1
 
2.1%
세종스포츠정형외과의원 1
 
2.1%
Other values (38) 38
79.2%
2024-03-15T00:04:39.698277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 47
 
13.0%
원 46
 
12.7%
과 35
 
9.7%
내 29
 
8.0%
서 8
 
2.2%
울 8
 
2.2%
건 6
 
1.7%
정 5
 
1.4%
학 5
 
1.4%
성 5
 
1.4%
Other values (111) 167
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
95.0%
Close Punctuation 4
 
1.1%
Open Punctuation 4
 
1.1%
Uppercase Letter 3
 
0.8%
Decimal Number 3
 
0.8%
Lowercase Letter 2
 
0.6%
Space Separator 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 47
 
13.7%
원 46
 
13.4%
과 35
 
10.2%
내 29
 
8.5%
서 8
 
2.3%
울 8
 
2.3%
건 6
 
1.7%
정 5
 
1.5%
학 5
 
1.5%
성 5
 
1.5%
Other values (101) 149
43.4%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
H 1
33.3%
B 1
33.3%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
95.0%
Common 13
 
3.6%
Latin 5
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 47
 
13.7%
원 46
 
13.4%
과 35
 
10.2%
내 29
 
8.5%
서 8
 
2.3%
울 8
 
2.3%
건 6
 
1.7%
정 5
 
1.5%
학 5
 
1.5%
성 5
 
1.5%
Other values (101) 149
43.4%
Common
ValueCountFrequency (%)
) 4
30.8%
( 4
30.8%
2
15.4%
3 1
 
7.7%
6 1
 
7.7%
5 1
 
7.7%
Latin
ValueCountFrequency (%)
e 2
40.0%
M 1
20.0%
H 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
95.0%
ASCII 18
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 47
 
13.7%
원 46
 
13.4%
과 35
 
10.2%
내 29
 
8.5%
서 8
 
2.3%
울 8
 
2.3%
건 6
 
1.7%
정 5
 
1.5%
학 5
 
1.5%
성 5
 
1.5%
Other values (101) 149
43.4%
ASCII
ValueCountFrequency (%)
) 4
22.2%
( 4
22.2%
e 2
11.1%
2
11.1%
M 1
 
5.6%
3 1
 
5.6%
H 1
 
5.6%
6 1
 
5.6%
5 1
 
5.6%
B 1
 
5.6%

주소
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing6
Missing (%)11.5%
Memory size544.0 B
2024-03-15T00:04:40.599628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length30.782609
Min length22

Characters and Unicode

Total characters1416
Distinct characters108
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

Unique46 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 광나루로 351 2층 (군자동)
2nd row서울특별시 광진구 광나루로56길 34 (구의동)
3rd row서울특별시 광진구 아차산로 502 (광장동,진넥스오딧세이 303호)
4th row서울특별시 광진구 용마산로 8 2층 (중곡동)
5th row서울특별시 광진구 자양로15길 18 (자양동)
ValueCountFrequency (%)
서울특별시 46
 
15.9%
광진구 46
 
15.9%
2층 16
 
5.5%
자양동 13
 
4.5%
중곡동 12
 
4.2%
구의동 8
 
2.8%
아차산로 7
 
2.4%
3층 6
 
2.1%
천호대로 6
 
2.1%
군자동 5
 
1.7%
Other values (98) 124
42.9%
2024-03-15T00:04:41.748762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
17.7%
구 57
 
4.0%
광 55
 
3.9%
동 52
 
3.7%
진 49
 
3.5%
서 46
 
3.2%
로 46
 
3.2%
( 46
 
3.2%
2 46
 
3.2%
) 46
 
3.2%
Other values (98) 723
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 816
57.6%
Space Separator 250
 
17.7%
Decimal Number 222
 
15.7%
Open Punctuation 46
 
3.2%
Close Punctuation 46
 
3.2%
Other Punctuation 25
 
1.8%
Dash Punctuation 4
 
0.3%
Math Symbol 4
 
0.3%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 57
 
7.0%
광 55
 
6.7%
동 52
 
6.4%
진 49
 
6.0%
서 46
 
5.6%
로 46
 
5.6%
울 46
 
5.6%
시 46
 
5.6%
별 46
 
5.6%
특 46
 
5.6%
Other values (78) 327
40.1%
Decimal Number
ValueCountFrequency (%)
2 46
20.7%
1 39
17.6%
3 30
13.5%
5 29
13.1%
0 20
9.0%
6 16
 
7.2%
4 13
 
5.9%
7 12
 
5.4%
8 10
 
4.5%
9 7
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
I 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 21
84.0%
. 4
 
16.0%
Space Separator
ValueCountFrequency (%)
250
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 816
57.6%
Common 597
42.2%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 57
 
7.0%
광 55
 
6.7%
동 52
 
6.4%
진 49
 
6.0%
서 46
 
5.6%
로 46
 
5.6%
울 46
 
5.6%
시 46
 
5.6%
별 46
 
5.6%
특 46
 
5.6%
Other values (78) 327
40.1%
Common
ValueCountFrequency (%)
250
41.9%
( 46
 
7.7%
2 46
 
7.7%
) 46
 
7.7%
1 39
 
6.5%
3 30
 
5.0%
5 29
 
4.9%
, 21
 
3.5%
0 20
 
3.4%
6 16
 
2.7%
Other values (7) 54
 
9.0%
Latin
ValueCountFrequency (%)
A 1
33.3%
I 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 816
57.6%
ASCII 600
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
41.7%
( 46
 
7.7%
2 46
 
7.7%
) 46
 
7.7%
1 39
 
6.5%
3 30
 
5.0%
5 29
 
4.8%
, 21
 
3.5%
0 20
 
3.3%
6 16
 
2.7%
Other values (10) 57
 
9.5%
Hangul
ValueCountFrequency (%)
구 57
 
7.0%
광 55
 
6.7%
동 52
 
6.4%
진 49
 
6.0%
서 46
 
5.6%
로 46
 
5.6%
울 46
 
5.6%
시 46
 
5.6%
별 46
 
5.6%
특 46
 
5.6%
Other values (78) 327
40.1%

전화번호
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing6
Missing (%)11.5%
Memory size544.0 B
2024-03-15T00:04:42.583477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.152174
Min length9

Characters and Unicode

Total characters513
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

Unique46 ?
Unique (%)100.0%

Sample

1st row02-468-8171
2nd row02-456-8197
3rd row02-458-6400
4th row02-456-8575
5th row02-454-5080
ValueCountFrequency (%)
02-461-1212 1
 
2.2%
02-3436-0511 1
 
2.2%
02-499-8275 1
 
2.2%
02-3437-3337 1
 
2.2%
02-469-7577 1
 
2.2%
02-3436-1117 1
 
2.2%
02-452-3434 1
 
2.2%
02-444-5764 1
 
2.2%
02-2244-5161 1
 
2.2%
1588-1533 1
 
2.2%
Other values (36) 36
78.3%
2024-03-15T00:04:43.850973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 91
17.7%
0 78
15.2%
2 74
14.4%
4 66
12.9%
5 48
9.4%
8 31
 
6.0%
7 31
 
6.0%
1 29
 
5.7%
6 28
 
5.5%
3 21
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 422
82.3%
Dash Punctuation 91
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
18.5%
2 74
17.5%
4 66
15.6%
5 48
11.4%
8 31
 
7.3%
7 31
 
7.3%
1 29
 
6.9%
6 28
 
6.6%
3 21
 
5.0%
9 16
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 513
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 91
17.7%
0 78
15.2%
2 74
14.4%
4 66
12.9%
5 48
9.4%
8 31
 
6.0%
7 31
 
6.0%
1 29
 
5.7%
6 28
 
5.5%
3 21
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 91
17.7%
0 78
15.2%
2 74
14.4%
4 66
12.9%
5 48
9.4%
8 31
 
6.0%
7 31
 
6.0%
1 29
 
5.7%
6 28
 
5.5%
3 21
 
4.1%

일반검진
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size544.0 B
지정
46 
<NA>
6 

Length

Max length4
Median length2
Mean length2.2307692
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 46
88.5%
<NA> 6
 
11.5%

Length

2024-03-15T00:04:44.292142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:04:44.625273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 46
88.5%
na 6
 
11.5%

위암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size544.0 B
지정
42 
<NA>
10 

Length

Max length4
Median length2
Mean length2.3846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 42
80.8%
<NA> 10
 
19.2%

Length

2024-03-15T00:04:44.986680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:04:45.316000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 42
80.8%
na 10
 
19.2%

유방암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size544.0 B
지정
27 
<NA>
25 

Length

Max length4
Median length2
Mean length2.9615385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지정
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
지정 27
51.9%
<NA> 25
48.1%

Length

2024-03-15T00:04:45.684621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:04:46.017609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 27
51.9%
na 25
48.1%

대장암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size544.0 B
지정
40 
<NA>
12 

Length

Max length4
Median length2
Mean length2.4615385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지정
2nd row<NA>
3rd row지정
4th row지정
5th row지정

Common Values

ValueCountFrequency (%)
지정 40
76.9%
<NA> 12
 
23.1%

Length

2024-03-15T00:04:46.377287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:04:46.706967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 40
76.9%
na 12
 
23.1%

간암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size544.0 B
지정
45 
<NA>
7 

Length

Max length4
Median length2
Mean length2.2692308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 45
86.5%
<NA> 7
 
13.5%

Length

2024-03-15T00:04:47.070211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:04:47.400081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 45
86.5%
na 7
 
13.5%

자궁경부암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size544.0 B
지정
29 
<NA>
23 

Length

Max length4
Median length2
Mean length2.8846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지정
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
지정 29
55.8%
<NA> 23
44.2%

Length

2024-03-15T00:04:47.773833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:04:48.114260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 29
55.8%
na 23
44.2%

폐암
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing50
Missing (%)96.2%
Memory size544.0 B
2024-03-15T00:04:48.368562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지정
2nd row지정
ValueCountFrequency (%)
지정 2
100.0%
2024-03-15T00:04:49.038125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 2
50.0%
정 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
50.0%
정 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
50.0%
정 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 2
50.0%
정 2
50.0%

데이터기준일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)2.2%
Missing6
Missing (%)11.5%
Memory size544.0 B
Minimum2024-02-07 00:00:00
Maximum2024-02-07 00:00:00
2024-03-15T00:04:49.370438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:04:49.664133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-15T00:04:49.866834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검진기관명주소전화번호
검진기관명1.0001.0001.000
주소1.0001.0001.000
전화번호1.0001.0001.000
2024-03-15T00:04:50.121508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일반검진자궁경부암대장암간암위암구분유방암
일반검진1.0001.0001.0001.0001.0001.0001.000
자궁경부암1.0001.0001.0001.0001.0001.0001.000
대장암1.0001.0001.0001.0001.0001.0001.000
간암1.0001.0001.0001.0001.0001.0001.000
위암1.0001.0001.0001.0001.0001.0001.000
구분1.0001.0001.0001.0001.0001.0001.000
유방암1.0001.0001.0001.0001.0001.0001.000
2024-03-15T00:04:50.411152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분일반검진위암유방암대장암간암자궁경부암
구분1.0001.0001.0001.0001.0001.0001.000
일반검진1.0001.0001.0001.0001.0001.0001.000
위암1.0001.0001.0001.0001.0001.0001.000
유방암1.0001.0001.0001.0001.0001.0001.000
대장암1.0001.0001.0001.0001.0001.0001.000
간암1.0001.0001.0001.0001.0001.0001.000
자궁경부암1.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-15T00:04:36.048862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:04:36.581967image/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.
2024-03-15T00:04:37.011072image/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

구분검진기관명주소전화번호일반검진위암유방암대장암간암자궁경부암폐암데이터기준일자
0검진기관(일반)서울내과의원서울특별시 광진구 광나루로 351 2층 (군자동)02-468-8171지정지정지정지정지정지정<NA>2024-02-07
1검진기관(일반)길내과의원서울특별시 광진구 광나루로56길 34 (구의동)02-456-8197지정지정<NA><NA>지정<NA><NA>2024-02-07
2검진기관(일반)이내과의원서울특별시 광진구 아차산로 502 (광장동,진넥스오딧세이 303호)02-458-6400지정지정<NA>지정지정<NA><NA>2024-02-07
3검진기관(일반)삼성열린내과의원서울특별시 광진구 용마산로 8 2층 (중곡동)02-456-8575지정지정<NA>지정지정<NA><NA>2024-02-07
4검진기관(일반)김신응내과의원서울특별시 광진구 자양로15길 18 (자양동)02-454-5080지정지정<NA>지정지정<NA><NA>2024-02-07
5검진기관(일반)(사)인구보건복지협회 서울지회 가족보건의원서울특별시 광진구 긴고랑로13길 62 1.2층 (중곡동)02-467-8913지정지정지정지정지정지정<NA>2024-02-07
6검진기관(일반)주민내과의원서울특별시 광진구 뚝섬로 533 2층 (자양동)02-498-4353지정지정<NA>지정지정지정<NA>2024-02-07
7검진기관(일반)독일의원서울특별시 광진구 천호대로 561 2층 (중곡동, 영창빌딩)02-456-2079지정지정지정지정지정지정<NA>2024-02-07
8검진기관(일반)가족애내과의원서울특별시 광진구 뚝섬로 558 2층 (자양동)02-455-2859지정지정<NA>지정지정<NA><NA>2024-02-07
9검진기관(일반)이(e)서울내과의원서울특별시 광진구 용마산로 5 2.3층 (중곡동)02-456-0075지정지정지정지정지정지정<NA>2024-02-07
구분검진기관명주소전화번호일반검진위암유방암대장암간암자궁경부암폐암데이터기준일자
42검진기관(일반)혜민병원서울특별시 광진구 자양로 85 (자양동)02-2049-9000지정지정지정지정지정지정지정2024-02-07
43검진기관(일반)큰열매여성의원서울특별시 광진구 용마산로 23 1.2.3층 (중곡동)02-454-3576지정<NA><NA><NA>지정지정<NA>2024-02-07
44검진기관(일반)구의센트럴내과의원서울특별시 광진구 아차산로 361 3층 (자양동)02-455-0119지정지정지정지정지정지정<NA>2024-02-07
45검진기관(일반)올유메디컬의원서울특별시 광진구 능동로 295 2층 (군자동)02-467-8288지정지정지정지정지정지정<NA>2024-02-07
46<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
47<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
48<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

구분검진기관명주소전화번호일반검진위암유방암대장암간암자궁경부암폐암데이터기준일자# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6