Overview

Dataset statistics

Number of variables29
Number of observations105
Missing cells997
Missing cells (%)32.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory249.3 B

Variable types

Categorical9
Text6
DateTime3
Unsupported8
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),수리대상 의료기기의 유형,다른 겸업 여부,총규모,영업규모
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16424/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (92.2%)Imbalance
휴업종료일자 is highly imbalanced (92.2%)Imbalance
인허가취소일자 has 105 (100.0%) missing valuesMissing
폐업일자 has 51 (48.6%) missing valuesMissing
재개업일자 has 105 (100.0%) missing valuesMissing
전화번호 has 24 (22.9%) missing valuesMissing
소재지면적 has 105 (100.0%) missing valuesMissing
소재지우편번호 has 32 (30.5%) missing valuesMissing
지번주소 has 8 (7.6%) missing valuesMissing
도로명주소 has 4 (3.8%) missing valuesMissing
도로명우편번호 has 20 (19.0%) missing valuesMissing
업태구분명 has 105 (100.0%) missing valuesMissing
좌표정보(X) has 9 (8.6%) missing valuesMissing
좌표정보(Y) has 9 (8.6%) missing valuesMissing
수리대상 의료기기의 유형 has 105 (100.0%) missing valuesMissing
다른 겸업 여부 has 105 (100.0%) missing valuesMissing
총규모 has 105 (100.0%) missing valuesMissing
영업규모 has 105 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:22:33.153623
Analysis finished2024-05-11 06:22:34.115504
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
3180000
105 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 105
100.0%

Length

2024-05-11T15:22:34.245013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:34.429510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 105
100.0%

관리번호
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-05-11T15:22:34.775277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2625
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)100.0%

Sample

1st rowPHMG320043180034047400001
2nd rowPHMG320043180034047400002
3rd rowPHMG320043180034047400003
4th rowPHMG320043180034047400004
5th rowPHMG320043180034047400005
ValueCountFrequency (%)
phmg320043180034047400001 1
 
1.0%
phmg320093180034047400003 1
 
1.0%
phmg320143180034047400003 1
 
1.0%
phmg320143180034047400002 1
 
1.0%
phmg320143180034047400001 1
 
1.0%
phmg320133180034047400006 1
 
1.0%
phmg320133180034047400005 1
 
1.0%
phmg320133180034047400004 1
 
1.0%
phmg320133180034047400003 1
 
1.0%
phmg320133180034047400002 1
 
1.0%
Other values (95) 95
90.5%
2024-05-11T15:22:35.409800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 880
33.5%
3 344
 
13.1%
4 340
 
13.0%
1 185
 
7.0%
2 158
 
6.0%
8 119
 
4.5%
7 114
 
4.3%
P 105
 
4.0%
H 105
 
4.0%
M 105
 
4.0%
Other values (4) 170
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2205
84.0%
Uppercase Letter 420
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 880
39.9%
3 344
 
15.6%
4 340
 
15.4%
1 185
 
8.4%
2 158
 
7.2%
8 119
 
5.4%
7 114
 
5.2%
5 45
 
2.0%
6 10
 
0.5%
9 10
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 105
25.0%
H 105
25.0%
M 105
25.0%
G 105
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2205
84.0%
Latin 420
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 880
39.9%
3 344
 
15.6%
4 340
 
15.4%
1 185
 
8.4%
2 158
 
7.2%
8 119
 
5.4%
7 114
 
5.2%
5 45
 
2.0%
6 10
 
0.5%
9 10
 
0.5%
Latin
ValueCountFrequency (%)
P 105
25.0%
H 105
25.0%
M 105
25.0%
G 105
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 880
33.5%
3 344
 
13.1%
4 340
 
13.0%
1 185
 
7.0%
2 158
 
6.0%
8 119
 
4.5%
7 114
 
4.3%
P 105
 
4.0%
H 105
 
4.0%
M 105
 
4.0%
Other values (4) 170
 
6.5%

인허가일자
Date

Distinct89
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
Minimum2004-10-29 00:00:00
Maximum2024-03-29 00:00:00
2024-05-11T15:22:35.712460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:36.036907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
3
54 
1
47 
5
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 54
51.4%
1 47
44.8%
5 3
 
2.9%
2 1
 
1.0%

Length

2024-05-11T15:22:36.365101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:36.608636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 54
51.4%
1 47
44.8%
5 3
 
2.9%
2 1
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
폐업
54 
영업/정상
47 
제외/삭제/전출
 
3
휴업
 
1

Length

Max length8
Median length2
Mean length3.5142857
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 54
51.4%
영업/정상 47
44.8%
제외/삭제/전출 3
 
2.9%
휴업 1
 
1.0%

Length

2024-05-11T15:22:36.862161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:37.083311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 54
51.4%
영업/정상 47
44.8%
제외/삭제/전출 3
 
2.9%
휴업 1
 
1.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
13
47 
3
46 
24
8 
15
 
3
2
 
1

Length

Max length2
Median length2
Mean length1.552381
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row3
2nd row3
3rd row13
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 47
44.8%
3 46
43.8%
24 8
 
7.6%
15 3
 
2.9%
2 1
 
1.0%

Length

2024-05-11T15:22:37.318904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:37.554040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 47
44.8%
3 46
43.8%
24 8
 
7.6%
15 3
 
2.9%
2 1
 
1.0%

상세영업상태명
Categorical

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
영업중
47 
폐업
46 
직권폐업
8 
전출
 
3
휴업
 
1

Length

Max length4
Median length3
Mean length2.6
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row폐업
2nd row폐업
3rd row영업중
4th row영업중
5th row폐업

Common Values

ValueCountFrequency (%)
영업중 47
44.8%
폐업 46
43.8%
직권폐업 8
 
7.6%
전출 3
 
2.9%
휴업 1
 
1.0%

Length

2024-05-11T15:22:37.824630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:38.066442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 47
44.8%
폐업 46
43.8%
직권폐업 8
 
7.6%
전출 3
 
2.9%
휴업 1
 
1.0%

폐업일자
Date

MISSING 

Distinct49
Distinct (%)90.7%
Missing51
Missing (%)48.6%
Memory size972.0 B
Minimum2010-08-06 00:00:00
Maximum2023-05-31 00:00:00
2024-05-11T15:22:38.336763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:38.686742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
104 
20191227
 
1

Length

Max length8
Median length4
Mean length4.0380952
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
99.0%
20191227 1
 
1.0%

Length

2024-05-11T15:22:39.072369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:39.289259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
99.0%
20191227 1
 
1.0%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
104 
20240831
 
1

Length

Max length8
Median length4
Mean length4.0380952
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
99.0%
20240831 1
 
1.0%

Length

2024-05-11T15:22:39.512097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:39.725805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
99.0%
20240831 1
 
1.0%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct81
Distinct (%)100.0%
Missing24
Missing (%)22.9%
Memory size972.0 B
2024-05-11T15:22:40.120497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.111111
Min length8

Characters and Unicode

Total characters900
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st row2164-8244
2nd row843-4321
3rd row02-844-8011
4th row831-2055
5th row02-2634-3061
ValueCountFrequency (%)
02 4
 
4.7%
02-2636-0344 1
 
1.2%
02-849-8064 1
 
1.2%
02-312-4394 1
 
1.2%
02-844-7484 1
 
1.2%
02-780-2521 1
 
1.2%
02-2675-4512 1
 
1.2%
02-6354-2614 1
 
1.2%
832-3343 1
 
1.2%
2164-8244 1
 
1.2%
Other values (72) 72
84.7%
2024-05-11T15:22:40.873508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 147
16.3%
- 135
15.0%
0 119
13.2%
8 83
9.2%
4 75
8.3%
3 67
7.4%
7 66
7.3%
1 62
6.9%
6 62
6.9%
5 35
 
3.9%
Other values (3) 49
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 747
83.0%
Dash Punctuation 135
 
15.0%
Close Punctuation 14
 
1.6%
Space Separator 4
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 147
19.7%
0 119
15.9%
8 83
11.1%
4 75
10.0%
3 67
9.0%
7 66
8.8%
1 62
8.3%
6 62
8.3%
5 35
 
4.7%
9 31
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 147
16.3%
- 135
15.0%
0 119
13.2%
8 83
9.2%
4 75
8.3%
3 67
7.4%
7 66
7.3%
1 62
6.9%
6 62
6.9%
5 35
 
3.9%
Other values (3) 49
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 147
16.3%
- 135
15.0%
0 119
13.2%
8 83
9.2%
4 75
8.3%
3 67
7.4%
7 66
7.3%
1 62
6.9%
6 62
6.9%
5 35
 
3.9%
Other values (3) 49
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Text

MISSING 

Distinct48
Distinct (%)65.8%
Missing32
Missing (%)30.5%
Memory size972.0 B
2024-05-11T15:22:41.311997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0136986
Min length5

Characters and Unicode

Total characters439
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

Unique35 ?
Unique (%)47.9%

Sample

1st row150103
2nd row150861
3rd row150841
4th row150050
5th row150800
ValueCountFrequency (%)
150105 5
 
6.8%
150845 4
 
5.5%
150840 4
 
5.5%
150841 4
 
5.5%
150103 3
 
4.1%
150050 3
 
4.1%
150844 3
 
4.1%
150091 2
 
2.7%
150972 2
 
2.7%
150899 2
 
2.7%
Other values (38) 41
56.2%
2024-05-11T15:22:42.074686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 119
27.1%
1 93
21.2%
5 91
20.7%
8 42
 
9.6%
4 28
 
6.4%
9 17
 
3.9%
3 15
 
3.4%
6 11
 
2.5%
2 11
 
2.5%
7 10
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 437
99.5%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 119
27.2%
1 93
21.3%
5 91
20.8%
8 42
 
9.6%
4 28
 
6.4%
9 17
 
3.9%
3 15
 
3.4%
6 11
 
2.5%
2 11
 
2.5%
7 10
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 439
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 119
27.1%
1 93
21.2%
5 91
20.7%
8 42
 
9.6%
4 28
 
6.4%
9 17
 
3.9%
3 15
 
3.4%
6 11
 
2.5%
2 11
 
2.5%
7 10
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 439
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 119
27.1%
1 93
21.2%
5 91
20.7%
8 42
 
9.6%
4 28
 
6.4%
9 17
 
3.9%
3 15
 
3.4%
6 11
 
2.5%
2 11
 
2.5%
7 10
 
2.3%

지번주소
Text

MISSING 

Distinct97
Distinct (%)100.0%
Missing8
Missing (%)7.6%
Memory size972.0 B
2024-05-11T15:22:42.640178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length29.28866
Min length20

Characters and Unicode

Total characters2841
Distinct characters149
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

Unique97 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 양평동3가 16번지 우림이비지센타 501호
2nd row서울특별시 영등포구 신길4동 4916번지
3rd row서울특별시 영등포구 신길5동 220번지 44호 93호
4th row서울특별시 영등포구 대림동 686-4 ESMT빌딩
5th row서울특별시 영등포구 신길동 220번지 43호
ValueCountFrequency (%)
서울특별시 96
 
17.2%
영등포구 96
 
17.2%
신길동 13
 
2.3%
여의도동 11
 
2.0%
1층 8
 
1.4%
1호 8
 
1.4%
220번지 8
 
1.4%
618번지 6
 
1.1%
2층 6
 
1.1%
양평동3가 6
 
1.1%
Other values (218) 301
53.8%
2024-05-11T15:22:43.589595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
467
 
16.4%
1 134
 
4.7%
영 107
 
3.8%
등 107
 
3.8%
포 107
 
3.8%
동 106
 
3.7%
시 101
 
3.6%
구 97
 
3.4%
울 96
 
3.4%
서 96
 
3.4%
Other values (139) 1423
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1767
62.2%
Decimal Number 561
 
19.7%
Space Separator 467
 
16.4%
Uppercase Letter 20
 
0.7%
Dash Punctuation 14
 
0.5%
Lowercase Letter 9
 
0.3%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 107
 
6.1%
등 107
 
6.1%
포 107
 
6.1%
동 106
 
6.0%
시 101
 
5.7%
구 97
 
5.5%
울 96
 
5.4%
서 96
 
5.4%
별 96
 
5.4%
특 96
 
5.4%
Other values (110) 758
42.9%
Decimal Number
ValueCountFrequency (%)
1 134
23.9%
2 87
15.5%
0 59
10.5%
4 56
10.0%
5 48
 
8.6%
3 48
 
8.6%
9 41
 
7.3%
6 37
 
6.6%
8 28
 
5.0%
7 23
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 8
40.0%
K 3
 
15.0%
T 3
 
15.0%
S 2
 
10.0%
I 1
 
5.0%
Z 1
 
5.0%
E 1
 
5.0%
M 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
i 1
 
11.1%
z 1
 
11.1%
c 1
 
11.1%
n 1
 
11.1%
t 1
 
11.1%
r 1
 
11.1%
Space Separator
ValueCountFrequency (%)
467
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1767
62.2%
Common 1045
36.8%
Latin 29
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 107
 
6.1%
등 107
 
6.1%
포 107
 
6.1%
동 106
 
6.0%
시 101
 
5.7%
구 97
 
5.5%
울 96
 
5.4%
서 96
 
5.4%
별 96
 
5.4%
특 96
 
5.4%
Other values (110) 758
42.9%
Latin
ValueCountFrequency (%)
B 8
27.6%
K 3
 
10.3%
T 3
 
10.3%
e 3
 
10.3%
S 2
 
6.9%
I 1
 
3.4%
Z 1
 
3.4%
E 1
 
3.4%
M 1
 
3.4%
i 1
 
3.4%
Other values (5) 5
17.2%
Common
ValueCountFrequency (%)
467
44.7%
1 134
 
12.8%
2 87
 
8.3%
0 59
 
5.6%
4 56
 
5.4%
5 48
 
4.6%
3 48
 
4.6%
9 41
 
3.9%
6 37
 
3.5%
8 28
 
2.7%
Other values (4) 40
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1767
62.2%
ASCII 1074
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
467
43.5%
1 134
 
12.5%
2 87
 
8.1%
0 59
 
5.5%
4 56
 
5.2%
5 48
 
4.5%
3 48
 
4.5%
9 41
 
3.8%
6 37
 
3.4%
8 28
 
2.6%
Other values (19) 69
 
6.4%
Hangul
ValueCountFrequency (%)
영 107
 
6.1%
등 107
 
6.1%
포 107
 
6.1%
동 106
 
6.0%
시 101
 
5.7%
구 97
 
5.5%
울 96
 
5.4%
서 96
 
5.4%
별 96
 
5.4%
특 96
 
5.4%
Other values (110) 758
42.9%

도로명주소
Text

MISSING 

Distinct98
Distinct (%)97.0%
Missing4
Missing (%)3.8%
Memory size972.0 B
2024-05-11T15:22:44.129434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length34.950495
Min length22

Characters and Unicode

Total characters3530
Distinct characters167
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)94.1%

Sample

1st row서울특별시 영등포구 양산로 43 (양평동3가,우림이비지센타 501호)
2nd row서울특별시 영등포구 가마산로77길 5-1 (신길동)
3rd row서울특별시 영등포구 신길로52길 5, 93호 (신길동)
4th row서울특별시 영등포구 대림로34다길 2, ESMT빌딩 2층 (대림동)
5th row서울특별시 영등포구 신길로52길 5 (신길동)
ValueCountFrequency (%)
서울특별시 100
 
15.6%
영등포구 100
 
15.6%
신길동 27
 
4.2%
1층 14
 
2.2%
신길로 10
 
1.6%
2층 7
 
1.1%
대림동 7
 
1.1%
문래동3가 7
 
1.1%
여의도동 7
 
1.1%
2 6
 
0.9%
Other values (257) 355
55.5%
2024-05-11T15:22:45.052510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
539
 
15.3%
1 125
 
3.5%
영 122
 
3.5%
등 116
 
3.3%
포 116
 
3.3%
동 115
 
3.3%
, 107
 
3.0%
시 106
 
3.0%
2 104
 
2.9%
로 102
 
2.9%
Other values (157) 1978
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2060
58.4%
Decimal Number 573
 
16.2%
Space Separator 539
 
15.3%
Other Punctuation 107
 
3.0%
Open Punctuation 101
 
2.9%
Close Punctuation 101
 
2.9%
Uppercase Letter 21
 
0.6%
Dash Punctuation 17
 
0.5%
Lowercase Letter 9
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 122
 
5.9%
등 116
 
5.6%
포 116
 
5.6%
동 115
 
5.6%
시 106
 
5.1%
로 102
 
5.0%
구 101
 
4.9%
울 100
 
4.9%
서 100
 
4.9%
별 100
 
4.9%
Other values (124) 982
47.7%
Decimal Number
ValueCountFrequency (%)
1 125
21.8%
2 104
18.2%
0 75
13.1%
3 64
11.2%
4 56
9.8%
5 41
 
7.2%
7 35
 
6.1%
6 34
 
5.9%
8 20
 
3.5%
9 19
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 8
38.1%
K 2
 
9.5%
S 2
 
9.5%
T 2
 
9.5%
E 2
 
9.5%
M 1
 
4.8%
Z 1
 
4.8%
D 1
 
4.8%
I 1
 
4.8%
A 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
i 1
 
11.1%
z 1
 
11.1%
c 1
 
11.1%
n 1
 
11.1%
t 1
 
11.1%
r 1
 
11.1%
Space Separator
ValueCountFrequency (%)
539
100.0%
Other Punctuation
ValueCountFrequency (%)
, 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2060
58.4%
Common 1440
40.8%
Latin 30
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 122
 
5.9%
등 116
 
5.6%
포 116
 
5.6%
동 115
 
5.6%
시 106
 
5.1%
로 102
 
5.0%
구 101
 
4.9%
울 100
 
4.9%
서 100
 
4.9%
별 100
 
4.9%
Other values (124) 982
47.7%
Latin
ValueCountFrequency (%)
B 8
26.7%
e 3
 
10.0%
K 2
 
6.7%
S 2
 
6.7%
T 2
 
6.7%
E 2
 
6.7%
M 1
 
3.3%
Z 1
 
3.3%
D 1
 
3.3%
I 1
 
3.3%
Other values (7) 7
23.3%
Common
ValueCountFrequency (%)
539
37.4%
1 125
 
8.7%
, 107
 
7.4%
2 104
 
7.2%
( 101
 
7.0%
) 101
 
7.0%
0 75
 
5.2%
3 64
 
4.4%
4 56
 
3.9%
5 41
 
2.8%
Other values (6) 127
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2060
58.4%
ASCII 1470
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
539
36.7%
1 125
 
8.5%
, 107
 
7.3%
2 104
 
7.1%
( 101
 
6.9%
) 101
 
6.9%
0 75
 
5.1%
3 64
 
4.4%
4 56
 
3.8%
5 41
 
2.8%
Other values (23) 157
 
10.7%
Hangul
ValueCountFrequency (%)
영 122
 
5.9%
등 116
 
5.6%
포 116
 
5.6%
동 115
 
5.6%
시 106
 
5.1%
로 102
 
5.0%
구 101
 
4.9%
울 100
 
4.9%
서 100
 
4.9%
별 100
 
4.9%
Other values (124) 982
47.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)75.3%
Missing20
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean37646.588
Minimum7205
Maximum150972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:22:45.392956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7205
5-th percentile7207.2
Q17293
median7333
Q37409
95-th percentile150844.8
Maximum150972
Range143767
Interquartile range (IQR)116

Descriptive statistics

Standard deviation58869.581
Coefficient of variation (CV)1.5637428
Kurtosis0.064542734
Mean37646.588
Median Absolute Deviation (MAD)54
Skewness1.4364943
Sum3199960
Variance3.4656275 × 109
MonotonicityNot monotonic
2024-05-11T15:22:45.686138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7313 5
 
4.8%
7207 4
 
3.8%
7306 3
 
2.9%
7312 3
 
2.9%
150840 2
 
1.9%
7385 2
 
1.9%
7255 2
 
1.9%
150030 2
 
1.9%
7219 2
 
1.9%
7286 2
 
1.9%
Other values (54) 58
55.2%
(Missing) 20
 
19.0%
ValueCountFrequency (%)
7205 1
 
1.0%
7207 4
3.8%
7208 1
 
1.0%
7213 1
 
1.0%
7219 2
1.9%
7229 1
 
1.0%
7250 1
 
1.0%
7251 1
 
1.0%
7255 2
1.9%
7257 1
 
1.0%
ValueCountFrequency (%)
150972 2
1.9%
150958 1
1.0%
150871 1
1.0%
150845 1
1.0%
150844 1
1.0%
150841 1
1.0%
150840 2
1.9%
150829 1
1.0%
150801 1
1.0%
150105 1
1.0%

사업장명
Text

Distinct104
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-05-11T15:22:46.564467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.6285714
Min length2

Characters and Unicode

Total characters801
Distinct characters190
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)98.1%

Sample

1st row(주)미래과학
2nd row엘사(ElSA)
3rd row종합전자
4th row이에스엠티(주)
5th row유신상사
ValueCountFrequency (%)
주식회사 6
 
4.8%
영등포점 4
 
3.2%
스타키보청기 3
 
2.4%
주)디오메드 2
 
1.6%
주)위키스 1
 
0.8%
영등포목동센터 1
 
0.8%
100세동안당산점 1
 
0.8%
에스씨헬스케어 1
 
0.8%
주)대석메드 1
 
0.8%
고마바이오텍(주 1
 
0.8%
Other values (105) 105
83.3%
2024-05-11T15:22:47.319506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 39
 
4.9%
스 37
 
4.6%
메 35
 
4.4%
( 34
 
4.2%
) 34
 
4.2%
디 29
 
3.6%
이 23
 
2.9%
21
 
2.6%
칼 18
 
2.2%
케 17
 
2.1%
Other values (180) 514
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 690
86.1%
Open Punctuation 34
 
4.2%
Close Punctuation 34
 
4.2%
Space Separator 21
 
2.6%
Uppercase Letter 14
 
1.7%
Decimal Number 3
 
0.4%
Other Punctuation 2
 
0.2%
Other Symbol 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
 
5.7%
스 37
 
5.4%
메 35
 
5.1%
디 29
 
4.2%
이 23
 
3.3%
칼 18
 
2.6%
케 17
 
2.5%
아 15
 
2.2%
어 15
 
2.2%
사 14
 
2.0%
Other values (163) 448
64.9%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
A 2
14.3%
E 2
14.3%
P 2
14.3%
Y 1
 
7.1%
N 1
 
7.1%
M 1
 
7.1%
O 1
 
7.1%
C 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 692
86.4%
Common 94
 
11.7%
Latin 15
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
 
5.6%
스 37
 
5.3%
메 35
 
5.1%
디 29
 
4.2%
이 23
 
3.3%
칼 18
 
2.6%
케 17
 
2.5%
아 15
 
2.2%
어 15
 
2.2%
사 14
 
2.0%
Other values (164) 450
65.0%
Latin
ValueCountFrequency (%)
S 3
20.0%
A 2
13.3%
E 2
13.3%
P 2
13.3%
l 1
 
6.7%
Y 1
 
6.7%
N 1
 
6.7%
M 1
 
6.7%
O 1
 
6.7%
C 1
 
6.7%
Common
ValueCountFrequency (%)
( 34
36.2%
) 34
36.2%
21
22.3%
. 2
 
2.1%
0 2
 
2.1%
1 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 690
86.1%
ASCII 109
 
13.6%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 39
 
5.7%
스 37
 
5.4%
메 35
 
5.1%
디 29
 
4.2%
이 23
 
3.3%
칼 18
 
2.6%
케 17
 
2.5%
아 15
 
2.2%
어 15
 
2.2%
사 14
 
2.0%
Other values (163) 448
64.9%
ASCII
ValueCountFrequency (%)
( 34
31.2%
) 34
31.2%
21
19.3%
S 3
 
2.8%
. 2
 
1.8%
A 2
 
1.8%
E 2
 
1.8%
P 2
 
1.8%
0 2
 
1.8%
1 1
 
0.9%
Other values (6) 6
 
5.5%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
Minimum2012-01-04 13:26:47
Maximum2024-04-03 08:12:38
2024-05-11T15:22:47.606384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:47.894783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
I
75 
U
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
I 75
71.4%
U 30
 
28.6%

Length

2024-05-11T15:22:48.197208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:48.392877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 75
71.4%
u 30
 
28.6%

데이터갱신일자
Categorical

Distinct37
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size972.0 B
2018-10-11 15:46:28.0
66 
2022-12-03 23:02:00.0
 
2
2021-11-25 02:40:00.0
 
2
2022-10-30 23:02:00.0
 
2
2021-04-24 02:40:00.0
 
1
Other values (32)
32 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique33 ?
Unique (%)31.4%

Sample

1st row2018-10-11 15:46:28.0
2nd row2018-10-11 15:46:28.0
3rd row2018-10-11 15:46:28.0
4th row2021-05-27 02:40:00.0
5th row2018-10-11 15:46:28.0

Common Values

ValueCountFrequency (%)
2018-10-11 15:46:28.0 66
62.9%
2022-12-03 23:02:00.0 2
 
1.9%
2021-11-25 02:40:00.0 2
 
1.9%
2022-10-30 23:02:00.0 2
 
1.9%
2021-04-24 02:40:00.0 1
 
1.0%
2021-10-30 22:09:00.0 1
 
1.0%
2022-12-06 00:03:00.0 1
 
1.0%
2021-07-09 02:40:00.0 1
 
1.0%
2021-08-11 02:40:00.0 1
 
1.0%
2021-12-07 22:06:00.0 1
 
1.0%
Other values (27) 27
25.7%

Length

2024-05-11T15:22:48.594211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-10-11 66
31.4%
15:46:28.0 66
31.4%
02:40:00.0 14
 
6.7%
23:02:00.0 4
 
1.9%
2021-12-07 3
 
1.4%
2022-12-03 2
 
1.0%
2021-11-25 2
 
1.0%
2022-10-30 2
 
1.0%
2023-12-04 2
 
1.0%
2021-10-30 2
 
1.0%
Other values (45) 47
22.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)89.6%
Missing9
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean191376.94
Minimum176715.16
Maximum194561.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:22:48.845541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176715.16
5-th percentile190025.56
Q1190828.27
median191543.28
Q3192041.24
95-th percentile193432.6
Maximum194561.75
Range17846.586
Interquartile range (IQR)1212.9704

Descriptive statistics

Standard deviation1831.723
Coefficient of variation (CV)0.0095712839
Kurtosis43.327492
Mean191376.94
Median Absolute Deviation (MAD)681.97945
Skewness-5.3200288
Sum18372186
Variance3355209.2
MonotonicityNot monotonic
2024-05-11T15:22:49.130392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190828.268143013 2
 
1.9%
190372.127120283 2
 
1.9%
193191.584697735 2
 
1.9%
191652.262251645 2
 
1.9%
191645.391019281 2
 
1.9%
190341.520905826 2
 
1.9%
189859.071768836 2
 
1.9%
192039.442521308 2
 
1.9%
190026.251961332 2
 
1.9%
192040.182167214 2
 
1.9%
Other values (76) 76
72.4%
(Missing) 9
 
8.6%
ValueCountFrequency (%)
176715.159845367 1
1.0%
189700.355755718 1
1.0%
189859.071768836 2
1.9%
190023.48828661 1
1.0%
190026.251961332 2
1.9%
190107.95828772 1
1.0%
190132.04325297 1
1.0%
190217.705071932 1
1.0%
190325.849378028 1
1.0%
190341.520905826 2
1.9%
ValueCountFrequency (%)
194561.746032498 1
1.0%
194530.535390096 1
1.0%
193798.948251805 1
1.0%
193592.000380036 1
1.0%
193469.554731741 1
1.0%
193420.281013887 1
1.0%
193191.584697735 2
1.9%
192916.017360194 1
1.0%
192880.946054063 1
1.0%
192876.550387955 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)89.6%
Missing9
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean446020.42
Minimum437930.39
Maximum448724.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:22:49.422752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437930.39
5-th percentile444075.29
Q1445474.08
median445980.98
Q3446919.49
95-th percentile448231.43
Maximum448724.28
Range10793.89
Interquartile range (IQR)1445.4111

Descriptive statistics

Standard deviation1455.5657
Coefficient of variation (CV)0.0032634507
Kurtosis9.0027259
Mean446020.42
Median Absolute Deviation (MAD)706.94174
Skewness-1.7307945
Sum42817960
Variance2118671.4
MonotonicityNot monotonic
2024-05-11T15:22:49.818800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445548.79737092 2
 
1.9%
448218.446478138 2
 
1.9%
446919.492015858 2
 
1.9%
445973.910394259 2
 
1.9%
445991.37253715 2
 
1.9%
448436.126322646 2
 
1.9%
445875.89672273 2
 
1.9%
445624.163596254 2
 
1.9%
447067.240942159 2
 
1.9%
445477.81314765 2
 
1.9%
Other values (76) 76
72.4%
(Missing) 9
 
8.6%
ValueCountFrequency (%)
437930.389576787 1
1.0%
442844.492647284 1
1.0%
443644.457052547 1
1.0%
443732.737198302 1
1.0%
444039.493499751 1
1.0%
444087.217082454 1
1.0%
444096.179397772 1
1.0%
444241.0 1
1.0%
444241.322290716 1
1.0%
444275.957833793 1
1.0%
ValueCountFrequency (%)
448724.279518461 1
1.0%
448482.06547511 1
1.0%
448436.126322646 2
1.9%
448270.380896893 1
1.0%
448218.446478138 2
1.9%
448181.554321088 1
1.0%
447952.211243293 1
1.0%
447734.793815501 1
1.0%
447470.628420948 1
1.0%
447470.551576255 1
1.0%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03180000PHMG32004318003404740000120041230<NA>3폐업3폐업20110401<NA><NA><NA>2164-8244<NA>150103서울특별시 영등포구 양평동3가 16번지 우림이비지센타 501호서울특별시 영등포구 양산로 43 (양평동3가,우림이비지센타 501호)<NA>(주)미래과학2012-01-04 14:20:53I2018-10-11 15:46:28.0<NA>190026.251961447067.240942<NA><NA><NA><NA>
13180000PHMG32004318003404740000220041029<NA>3폐업3폐업20110822<NA><NA><NA><NA><NA>150861서울특별시 영등포구 신길4동 4916번지서울특별시 영등포구 가마산로77길 5-1 (신길동)<NA>엘사(ElSA)2012-01-12 11:54:19I2018-10-11 15:46:28.0<NA>192355.230168444812.294725<NA><NA><NA><NA>
23180000PHMG32004318003404740000320041129<NA>1영업/정상13영업중<NA><NA><NA><NA>843-4321<NA>150841서울특별시 영등포구 신길5동 220번지 44호 93호서울특별시 영등포구 신길로52길 5, 93호 (신길동)7313종합전자2012-01-04 13:26:47I2018-10-11 15:46:28.0<NA>192040.182167445477.813148<NA><NA><NA><NA>
33180000PHMG32004318003404740000420041129<NA>1영업/정상13영업중<NA><NA><NA><NA>02-844-8011<NA><NA>서울특별시 영등포구 대림동 686-4 ESMT빌딩서울특별시 영등포구 대림로34다길 2, ESMT빌딩 2층 (대림동)7401이에스엠티(주)2021-05-25 17:25:11U2021-05-27 02:40:00.0<NA>191047.213895444087.217082<NA><NA><NA><NA>
43180000PHMG32004318003404740000520041214<NA>3폐업3폐업20180110<NA><NA><NA>831-2055<NA>150050서울특별시 영등포구 신길동 220번지 43호서울특별시 영등포구 신길로52길 5 (신길동)<NA>유신상사2018-01-10 17:35:45I2018-10-11 15:46:28.0<NA>192044.407653445477.64344<NA><NA><NA><NA>
53180000PHMG32004318003404740000620041228<NA>3폐업24직권폐업20140303<NA><NA><NA>02-2634-3061<NA>150800서울특별시 영등포구 당산동1가 204번지 1층 2호서울특별시 영등포구 양산로 156 (당산동1가,1층 2호)<NA>우리메디칼2014-03-03 16:09:41I2018-10-11 15:46:28.0<NA>191110.565577446792.719985<NA><NA><NA><NA>
63180000PHMG32005318003404740000120050523<NA>3폐업3폐업20110405<NA><NA><NA>6717-7700<NA>405246인천광역시 남동구 만수6동 1040번지 경방프라자 6층인천광역시 남동구 장승남로 48 (만수동,경방프라자 6층)<NA>이브메디칼(주)2012-01-31 10:51:16I2018-10-11 15:46:28.0<NA>176715.159845437930.389577<NA><NA><NA><NA>
73180000PHMG32005318003404740000220050112<NA>1영업/정상13영업중<NA><NA><NA><NA>02-831-7891<NA>150845서울특별시 영등포구 신길동 220번지 56호 -1서울특별시 영등포구 신길로 218 (신길동)7313서진메디칼2014-01-23 13:21:02I2018-10-11 15:46:28.0<NA>192009.371597445480.730863<NA><NA><NA><NA>
83180000PHMG32005318003404740000320050607<NA>3폐업3폐업20140722<NA><NA><NA><NA><NA>150840서울특별시 영등포구 신길1동 161번지 3호서울특별시 영등포구 도신로 220 (신길동)150840한국테크놀로지2014-07-22 17:17:35I2018-10-11 15:46:28.0<NA>192471.656964445479.350064<NA><NA><NA><NA>
93180000PHMG3200531800340474000042005-06-01<NA>5제외/삭제/전출15전출<NA><NA><NA><NA><NA><NA>150-300서울특별시 영등포구 신길동 192번지 139호 1층서울특별시 영등포구 신길로 222, 1층 (신길동)7313나연메디칼2023-10-10 15:39:10U2022-10-30 23:02:00.0<NA>191992.983111445522.391715<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
953180000PHMG32021318003404740000320210330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 92-18서울특별시 영등포구 도신로64길 20, 1층 (신길동)7351(주)클라헬스케어2021-04-08 17:57:04I2021-04-10 00:23:08.0<NA>192814.904505445555.725967<NA><NA><NA><NA>
963180000PHMG32021318003404740000420210402<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동4가 146-1서울특별시 영등포구 영등포로 198, 1층 (영등포동4가)7301헬스드림2021-04-14 08:53:44I2021-04-16 00:22:57.0<NA>191378.329184446422.869146<NA><NA><NA><NA>
973180000PHMG32022318003404740000120220303<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동3가 55-16 영등포 SK 리더스뷰서울특별시 영등포구 문래로 164, 영등포 SK 리더스뷰 3층 E03호 (문래동3가)7297마레헬스케어2022-04-20 15:01:01U2021-12-03 22:02:00.0<NA>191087.758954446157.437289<NA><NA><NA><NA>
983180000PHMG32022318003404740000220220414<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3449-2473<NA><NA>서울특별시 영등포구 여의도동 22 파크원서울특별시 영등포구 여의대로 108, 파크원 30층 300호 (여의도동)7335㈜유비케어2022-07-06 10:26:09U2021-12-07 00:08:00.0<NA>193592.00038447092.629433<NA><NA><NA><NA>
993180000PHMG32022318003404740000320220706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 도림동 112-6서울특별시 영등포구 도신로29가길 5-2, 1층 (도림동)7368다이온메디2022-07-11 10:24:54U2021-12-06 23:03:00.0<NA>191588.774325445234.599717<NA><NA><NA><NA>
1003180000PHMG32022318003404740000420220829<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 4950 래미안에스티움서울특별시 영등포구 신풍로 77, 상가D동 지층 104호 (신길동, 래미안에스티움)7390우진케어2022-08-30 16:30:38I2021-12-09 00:01:00.0<NA>192329.0444241.0<NA><NA><NA><NA>
1013180000PHMG3202331800340474000012010-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-776-0646<NA><NA>서울특별시 영등포구 당산동1가 459 생각공장 당산서울특별시 영등포구 영등포로 150, 생각공장 당산 A동 201~203호 (당산동1가)7292(주)세신유나이티드2023-04-10 14:06:12U2022-12-03 23:02:00.0<NA><NA><NA><NA><NA><NA><NA>
1023180000PHMG3202331800340474000022023-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 204-16서울특별시 영등포구 도신로48길 12, 1층 (신길동)7347위니아에이드영등포점2023-04-10 14:05:32I2022-12-03 23:02:00.0<NA>192242.596077445324.464473<NA><NA><NA><NA>
1033180000PHMG3202431800340474000012024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-848-9588<NA>07422<NA>서울특별시 영등포구 도림로48길 4, 대림스타빌딩 4층 402호 (대림동)7422위니아에이드 영등포서비스2024-04-02 15:21:54U2023-12-04 00:04:00.0<NA>191144.16086443644.457053<NA><NA><NA><NA>
1043180000PHMG3202431800340474000022024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2069-1971<NA><NA>서울특별시 영등포구 양평동3가 5-4 에이스 하이테크시티3서울특별시 영등포구 선유로 130, 에이스 하이테크시티3 2층 210호 (양평동3가)7255엘지전자(주)영등포서비스센터2024-04-03 08:12:38I2023-12-04 00:05:00.0<NA>190325.849378447033.87348<NA><NA><NA><NA>