Overview

Dataset statistics

Number of variables29
Number of observations112
Missing cells1305
Missing cells (%)40.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.3 KiB
Average record size in memory249.2 B

Variable types

Categorical6
Text6
DateTime4
Unsupported10
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16429/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 112 (100.0%) missing valuesMissing
폐업일자 has 59 (52.7%) missing valuesMissing
휴업시작일자 has 112 (100.0%) missing valuesMissing
휴업종료일자 has 112 (100.0%) missing valuesMissing
재개업일자 has 112 (100.0%) missing valuesMissing
전화번호 has 33 (29.5%) missing valuesMissing
소재지면적 has 112 (100.0%) missing valuesMissing
소재지우편번호 has 73 (65.2%) missing valuesMissing
지번주소 has 3 (2.7%) missing valuesMissing
업태구분명 has 112 (100.0%) missing valuesMissing
좌표정보(X) has 8 (7.1%) missing valuesMissing
좌표정보(Y) has 8 (7.1%) missing valuesMissing
수리대상 의료기기의 유형 has 112 (100.0%) missing valuesMissing
다른 겸업 여부 has 112 (100.0%) missing valuesMissing
총규모 has 112 (100.0%) missing valuesMissing
영업규모 has 112 (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
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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 07:01:52.910776
Analysis finished2024-05-11 07:01:54.439714
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3230000
112 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 112
100.0%

Length

2024-05-11T07:01:54.645196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:54.920943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 112
100.0%

관리번호
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T07:01:55.465074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2800
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

Unique112 ?
Unique (%)100.0%

Sample

1st rowPHMG320053230034047400001
2nd rowPHMG320063230034047400001
3rd rowPHMG320103230034047400001
4th rowPHMG320113230034047400001
5th rowPHMG320113230034047400002
ValueCountFrequency (%)
phmg320053230034047400001 1
 
0.9%
phmg320063230034047400001 1
 
0.9%
phmg320193230034047400004 1
 
0.9%
phmg320193230034047400002 1
 
0.9%
phmg320193230034047400001 1
 
0.9%
phmg320183230034047400004 1
 
0.9%
phmg320183230034047400003 1
 
0.9%
phmg320183230034047400002 1
 
0.9%
phmg320183230034047400001 1
 
0.9%
phmg320173230034047400012 1
 
0.9%
Other values (102) 102
91.1%
2024-05-11T07:01:56.568012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 883
31.5%
3 480
17.1%
4 358
12.8%
2 285
 
10.2%
1 156
 
5.6%
7 133
 
4.8%
P 112
 
4.0%
H 112
 
4.0%
M 112
 
4.0%
G 112
 
4.0%
Other values (4) 57
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2352
84.0%
Uppercase Letter 448
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 883
37.5%
3 480
20.4%
4 358
15.2%
2 285
 
12.1%
1 156
 
6.6%
7 133
 
5.7%
5 22
 
0.9%
6 16
 
0.7%
8 10
 
0.4%
9 9
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 112
25.0%
H 112
25.0%
M 112
25.0%
G 112
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2352
84.0%
Latin 448
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 883
37.5%
3 480
20.4%
4 358
15.2%
2 285
 
12.1%
1 156
 
6.6%
7 133
 
5.7%
5 22
 
0.9%
6 16
 
0.7%
8 10
 
0.4%
9 9
 
0.4%
Latin
ValueCountFrequency (%)
P 112
25.0%
H 112
25.0%
M 112
25.0%
G 112
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 883
31.5%
3 480
17.1%
4 358
12.8%
2 285
 
10.2%
1 156
 
5.6%
7 133
 
4.8%
P 112
 
4.0%
H 112
 
4.0%
M 112
 
4.0%
G 112
 
4.0%
Other values (4) 57
 
2.0%
Distinct85
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2005-06-17 00:00:00
Maximum2024-03-18 00:00:00
2024-05-11T07:01:56.978781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:01:57.463973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB
Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
56 
3
53 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 56
50.0%
3 53
47.3%
5 3
 
2.7%

Length

2024-05-11T07:01:58.045371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:58.423417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56
50.0%
3 53
47.3%
5 3
 
2.7%

영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업/정상
56 
폐업
53 
제외/삭제/전출
 
3

Length

Max length8
Median length6.5
Mean length3.6607143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 56
50.0%
폐업 53
47.3%
제외/삭제/전출 3
 
2.7%

Length

2024-05-11T07:01:58.958014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:59.303107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 56
50.0%
폐업 53
47.3%
제외/삭제/전출 3
 
2.7%
Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
13
56 
3
51 
15
 
3
24
 
2

Length

Max length2
Median length2
Mean length1.5446429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 56
50.0%
3 51
45.5%
15 3
 
2.7%
24 2
 
1.8%

Length

2024-05-11T07:01:59.743238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:00.084519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 56
50.0%
3 51
45.5%
15 3
 
2.7%
24 2
 
1.8%
Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업중
56 
폐업
51 
전출
 
3
직권폐업
 
2

Length

Max length4
Median length3.5
Mean length2.5357143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 56
50.0%
폐업 51
45.5%
전출 3
 
2.7%
직권폐업 2
 
1.8%

Length

2024-05-11T07:02:00.589201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:00.930188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 56
50.0%
폐업 51
45.5%
전출 3
 
2.7%
직권폐업 2
 
1.8%

폐업일자
Date

MISSING 

Distinct51
Distinct (%)96.2%
Missing59
Missing (%)52.7%
Memory size1.0 KiB
Minimum2011-05-31 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T07:02:01.350915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:02:02.045994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct74
Distinct (%)93.7%
Missing33
Missing (%)29.5%
Memory size1.0 KiB
2024-05-11T07:02:02.781723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length10.063291
Min length8

Characters and Unicode

Total characters795
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

Unique70 ?
Unique (%)88.6%

Sample

1st row422-8283
2nd row02-2067-9142
3rd row2203-2333
4th row422-9577
5th row420-9774
ValueCountFrequency (%)
02-422-9577 3
 
3.8%
02-2008-7641 2
 
2.5%
02-3412-0390 2
 
2.5%
412-0433 2
 
2.5%
422-8283 1
 
1.2%
070-8650-6313 1
 
1.2%
3484-0938 1
 
1.2%
02-2240-4000 1
 
1.2%
02-6925-0670 1
 
1.2%
407-6472 1
 
1.2%
Other values (65) 65
81.2%
2024-05-11T07:02:04.161166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
14.3%
0 113
14.2%
2 99
12.5%
4 98
12.3%
3 74
9.3%
1 66
8.3%
7 56
7.0%
5 52
6.5%
6 47
5.9%
8 45
 
5.7%
Other values (3) 31
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 679
85.4%
Dash Punctuation 114
 
14.3%
Other Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
16.6%
2 99
14.6%
4 98
14.4%
3 74
10.9%
1 66
9.7%
7 56
8.2%
5 52
7.7%
6 47
6.9%
8 45
 
6.6%
9 29
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 795
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
14.3%
0 113
14.2%
2 99
12.5%
4 98
12.3%
3 74
9.3%
1 66
8.3%
7 56
7.0%
5 52
6.5%
6 47
5.9%
8 45
 
5.7%
Other values (3) 31
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 795
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
14.3%
0 113
14.2%
2 99
12.5%
4 98
12.3%
3 74
9.3%
1 66
8.3%
7 56
7.0%
5 52
6.5%
6 47
5.9%
8 45
 
5.7%
Other values (3) 31
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Text

MISSING 

Distinct28
Distinct (%)71.8%
Missing73
Missing (%)65.2%
Memory size1.0 KiB
2024-05-11T07:02:04.673294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0769231
Min length6

Characters and Unicode

Total characters237
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

Unique19 ?
Unique (%)48.7%

Sample

1st row138862
2nd row138836
3rd row138830
4th row138854
5th row138813
ValueCountFrequency (%)
138848 3
 
7.7%
138830 3
 
7.7%
138826 2
 
5.1%
138854 2
 
5.1%
138813 2
 
5.1%
138836 2
 
5.1%
138818 2
 
5.1%
138845 2
 
5.1%
138840 2
 
5.1%
138879 1
 
2.6%
Other values (18) 18
46.2%
2024-05-11T07:02:05.997834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 80
33.8%
1 51
21.5%
3 48
20.3%
4 13
 
5.5%
0 11
 
4.6%
2 9
 
3.8%
6 8
 
3.4%
5 8
 
3.4%
- 3
 
1.3%
7 3
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 234
98.7%
Dash Punctuation 3
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 80
34.2%
1 51
21.8%
3 48
20.5%
4 13
 
5.6%
0 11
 
4.7%
2 9
 
3.8%
6 8
 
3.4%
5 8
 
3.4%
7 3
 
1.3%
9 3
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 80
33.8%
1 51
21.5%
3 48
20.3%
4 13
 
5.5%
0 11
 
4.6%
2 9
 
3.8%
6 8
 
3.4%
5 8
 
3.4%
- 3
 
1.3%
7 3
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 80
33.8%
1 51
21.5%
3 48
20.3%
4 13
 
5.5%
0 11
 
4.6%
2 9
 
3.8%
6 8
 
3.4%
5 8
 
3.4%
- 3
 
1.3%
7 3
 
1.3%

지번주소
Text

MISSING 

Distinct91
Distinct (%)83.5%
Missing3
Missing (%)2.7%
Memory size1.0 KiB
2024-05-11T07:02:06.765454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length27.174312
Min length17

Characters and Unicode

Total characters2962
Distinct characters152
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

Unique83 ?
Unique (%)76.1%

Sample

1st row서울특별시 송파구 잠실동 40번지 1호
2nd row서울특별시 송파구 잠실본동 196번지 올림피아빌딩 704
3rd row서울특별시 송파구 문정동 651번지 10호 파트너스1
4th row서울특별시 송파구 방이1동 227번지 12호
5th row서울특별시 송파구 방이2동 124번지 13호 유림빌딩 407호
ValueCountFrequency (%)
서울특별시 109
 
17.7%
송파구 108
 
17.5%
문정동 36
 
5.8%
가든파이브라이프 10
 
1.6%
2호 8
 
1.3%
634번지 7
 
1.1%
가락동 7
 
1.1%
1층 7
 
1.1%
1호 7
 
1.1%
석촌동 6
 
1.0%
Other values (187) 311
50.5%
2024-05-11T07:02:08.265697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
509
 
17.2%
141
 
4.8%
121
 
4.1%
1 116
 
3.9%
112
 
3.8%
111
 
3.7%
111
 
3.7%
110
 
3.7%
109
 
3.7%
109
 
3.7%
Other values (142) 1413
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1895
64.0%
Decimal Number 523
 
17.7%
Space Separator 509
 
17.2%
Dash Punctuation 19
 
0.6%
Uppercase Letter 9
 
0.3%
Lowercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
141
 
7.4%
121
 
6.4%
112
 
5.9%
111
 
5.9%
111
 
5.9%
110
 
5.8%
109
 
5.8%
109
 
5.8%
109
 
5.8%
94
 
5.0%
Other values (119) 768
40.5%
Decimal Number
ValueCountFrequency (%)
1 116
22.2%
2 90
17.2%
4 60
11.5%
3 55
10.5%
6 52
9.9%
0 38
 
7.3%
5 33
 
6.3%
8 30
 
5.7%
7 26
 
5.0%
9 23
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
L 2
22.2%
K 1
 
11.1%
R 1
 
11.1%
S 1
 
11.1%
Y 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
k 1
25.0%
r 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
509
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1895
64.0%
Common 1054
35.6%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
141
 
7.4%
121
 
6.4%
112
 
5.9%
111
 
5.9%
111
 
5.9%
110
 
5.8%
109
 
5.8%
109
 
5.8%
109
 
5.8%
94
 
5.0%
Other values (119) 768
40.5%
Common
ValueCountFrequency (%)
509
48.3%
1 116
 
11.0%
2 90
 
8.5%
4 60
 
5.7%
3 55
 
5.2%
6 52
 
4.9%
0 38
 
3.6%
5 33
 
3.1%
8 30
 
2.8%
7 26
 
2.5%
Other values (3) 45
 
4.3%
Latin
ValueCountFrequency (%)
B 3
23.1%
L 2
15.4%
c 1
 
7.7%
k 1
 
7.7%
r 1
 
7.7%
s 1
 
7.7%
K 1
 
7.7%
R 1
 
7.7%
S 1
 
7.7%
Y 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1895
64.0%
ASCII 1067
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
509
47.7%
1 116
 
10.9%
2 90
 
8.4%
4 60
 
5.6%
3 55
 
5.2%
6 52
 
4.9%
0 38
 
3.6%
5 33
 
3.1%
8 30
 
2.8%
7 26
 
2.4%
Other values (13) 58
 
5.4%
Hangul
ValueCountFrequency (%)
141
 
7.4%
121
 
6.4%
112
 
5.9%
111
 
5.9%
111
 
5.9%
110
 
5.8%
109
 
5.8%
109
 
5.8%
109
 
5.8%
94
 
5.0%
Other values (119) 768
40.5%
Distinct103
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T07:02:09.132026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44.5
Mean length35.642857
Min length23

Characters and Unicode

Total characters3992
Distinct characters187
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 (%)84.8%

Sample

1st row서울특별시 송파구 올림픽로 240 (잠실동, 롯데월드)
2nd row서울특별시 송파구 백제고분로 75 (잠실동,올림피아빌딩 704)
3rd row서울특별시 송파구 법원로 92, 파트너스1 7층 712호 (문정동)
4th row서울특별시 송파구 오금로 229 (방이동)
5th row서울특별시 송파구 오금로 193 (방이동, 유림빌딩407호)
ValueCountFrequency (%)
서울특별시 112
 
14.6%
송파구 111
 
14.5%
문정동 41
 
5.3%
충민로 20
 
2.6%
1층 13
 
1.7%
방이동 13
 
1.7%
66 13
 
1.7%
가든파이브라이프 12
 
1.6%
송파대로 10
 
1.3%
가락동 10
 
1.3%
Other values (237) 413
53.8%
2024-05-11T07:02:10.766587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
657
 
16.5%
163
 
4.1%
1 158
 
4.0%
143
 
3.6%
124
 
3.1%
, 121
 
3.0%
115
 
2.9%
114
 
2.9%
113
 
2.8%
113
 
2.8%
Other values (177) 2171
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2314
58.0%
Space Separator 657
 
16.5%
Decimal Number 619
 
15.5%
Other Punctuation 121
 
3.0%
Open Punctuation 112
 
2.8%
Close Punctuation 112
 
2.8%
Uppercase Letter 28
 
0.7%
Dash Punctuation 24
 
0.6%
Lowercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
163
 
7.0%
143
 
6.2%
124
 
5.4%
115
 
5.0%
114
 
4.9%
113
 
4.9%
113
 
4.9%
112
 
4.8%
112
 
4.8%
112
 
4.8%
Other values (145) 1093
47.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
28.6%
T 4
14.3%
A 3
 
10.7%
S 3
 
10.7%
C 2
 
7.1%
Y 2
 
7.1%
F 1
 
3.6%
D 1
 
3.6%
G 1
 
3.6%
R 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 158
25.5%
2 91
14.7%
3 82
13.2%
0 66
10.7%
6 50
 
8.1%
4 44
 
7.1%
7 38
 
6.1%
5 36
 
5.8%
9 34
 
5.5%
8 20
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
k 1
25.0%
r 1
25.0%
s 1
25.0%
c 1
25.0%
Space Separator
ValueCountFrequency (%)
657
100.0%
Other Punctuation
ValueCountFrequency (%)
, 121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2314
58.0%
Common 1646
41.2%
Latin 32
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
163
 
7.0%
143
 
6.2%
124
 
5.4%
115
 
5.0%
114
 
4.9%
113
 
4.9%
113
 
4.9%
112
 
4.8%
112
 
4.8%
112
 
4.8%
Other values (145) 1093
47.2%
Common
ValueCountFrequency (%)
657
39.9%
1 158
 
9.6%
, 121
 
7.4%
( 112
 
6.8%
) 112
 
6.8%
2 91
 
5.5%
3 82
 
5.0%
0 66
 
4.0%
6 50
 
3.0%
4 44
 
2.7%
Other values (6) 153
 
9.3%
Latin
ValueCountFrequency (%)
B 8
25.0%
T 4
12.5%
A 3
 
9.4%
S 3
 
9.4%
C 2
 
6.2%
Y 2
 
6.2%
k 1
 
3.1%
r 1
 
3.1%
s 1
 
3.1%
c 1
 
3.1%
Other values (6) 6
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2314
58.0%
ASCII 1678
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
657
39.2%
1 158
 
9.4%
, 121
 
7.2%
( 112
 
6.7%
) 112
 
6.7%
2 91
 
5.4%
3 82
 
4.9%
0 66
 
3.9%
6 50
 
3.0%
4 44
 
2.6%
Other values (22) 185
 
11.0%
Hangul
ValueCountFrequency (%)
163
 
7.0%
143
 
6.2%
124
 
5.4%
115
 
5.0%
114
 
4.9%
113
 
4.9%
113
 
4.9%
112
 
4.8%
112
 
4.8%
112
 
4.8%
Other values (145) 1093
47.2%

도로명우편번호
Real number (ℝ)

Distinct60
Distinct (%)54.1%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean21341.009
Minimum5510
Maximum138962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T07:02:11.258473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile5546.5
Q15677
median5829
Q35840
95-th percentile138842.5
Maximum138962
Range133452
Interquartile range (IQR)163

Descriptive statistics

Standard deviation42992.711
Coefficient of variation (CV)2.0145585
Kurtosis3.897978
Mean21341.009
Median Absolute Deviation (MAD)66
Skewness2.414122
Sum2368852
Variance1.8483732 × 109
MonotonicityNot monotonic
2024-05-11T07:02:11.831908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5838 13
 
11.6%
5836 9
 
8.0%
5840 6
 
5.4%
5854 5
 
4.5%
138830 3
 
2.7%
5763 3
 
2.7%
5827 3
 
2.7%
5510 3
 
2.7%
138845 2
 
1.8%
5732 2
 
1.8%
Other values (50) 62
55.4%
ValueCountFrequency (%)
5510 3
2.7%
5527 1
 
0.9%
5538 1
 
0.9%
5545 1
 
0.9%
5548 2
1.8%
5551 1
 
0.9%
5554 1
 
0.9%
5556 2
1.8%
5588 1
 
0.9%
5614 1
 
0.9%
ValueCountFrequency (%)
138962 1
 
0.9%
138855 1
 
0.9%
138854 1
 
0.9%
138845 2
1.8%
138843 1
 
0.9%
138842 1
 
0.9%
138840 2
1.8%
138830 3
2.7%
138828 1
 
0.9%
6349 1
 
0.9%
Distinct109
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T07:02:12.538145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length9.4285714
Min length2

Characters and Unicode

Total characters1056
Distinct characters184
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)94.6%

Sample

1st row동부대우전자서비스(주)잠실센터
2nd row케어플러스메디칼(주)
3rd row(주)리스퀘어시스템즈
4th row(주)대세엠케어
5th row정우인터내셔널
ValueCountFrequency (%)
주식회사 5
 
3.7%
유한회사 3
 
2.2%
주)동방사이메드 2
 
1.5%
송파점 2
 
1.5%
위니아서비스송파점 2
 
1.5%
세라젬월드 2
 
1.5%
주)포유메디 1
 
0.7%
송파서비스센터 1
 
0.7%
에이에이치솔루션 1
 
0.7%
주)쓰리디바이오캐드아시아 1
 
0.7%
Other values (116) 116
85.3%
2024-05-11T07:02:13.926135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 66
 
6.2%
) 66
 
6.2%
64
 
6.1%
49
 
4.6%
39
 
3.7%
36
 
3.4%
35
 
3.3%
34
 
3.2%
24
 
2.3%
22
 
2.1%
Other values (174) 621
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 894
84.7%
Open Punctuation 66
 
6.2%
Close Punctuation 66
 
6.2%
Space Separator 24
 
2.3%
Uppercase Letter 4
 
0.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
 
7.2%
49
 
5.5%
39
 
4.4%
36
 
4.0%
35
 
3.9%
34
 
3.8%
22
 
2.5%
22
 
2.5%
20
 
2.2%
20
 
2.2%
Other values (166) 553
61.9%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
H 1
25.0%
J 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 894
84.7%
Common 158
 
15.0%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
7.2%
49
 
5.5%
39
 
4.4%
36
 
4.0%
35
 
3.9%
34
 
3.8%
22
 
2.5%
22
 
2.5%
20
 
2.2%
20
 
2.2%
Other values (166) 553
61.9%
Common
ValueCountFrequency (%)
( 66
41.8%
) 66
41.8%
24
 
15.2%
/ 1
 
0.6%
& 1
 
0.6%
Latin
ValueCountFrequency (%)
M 2
50.0%
H 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 894
84.7%
ASCII 162
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 66
40.7%
) 66
40.7%
24
 
14.8%
M 2
 
1.2%
/ 1
 
0.6%
& 1
 
0.6%
H 1
 
0.6%
J 1
 
0.6%
Hangul
ValueCountFrequency (%)
64
 
7.2%
49
 
5.5%
39
 
4.4%
36
 
4.0%
35
 
3.9%
34
 
3.8%
22
 
2.5%
22
 
2.5%
20
 
2.2%
20
 
2.2%
Other values (166) 553
61.9%

최종수정일자
Date

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2011-05-31 17:59:26
Maximum2024-05-09 13:35:51
2024-05-11T07:02:14.439840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:02:15.093152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
U
60 
I
52 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 60
53.6%
I 52
46.4%

Length

2024-05-11T07:02:15.714734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:16.187538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 60
53.6%
i 52
46.4%
Distinct68
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-10-11 15:46:28
Maximum2023-12-04 23:01:00
2024-05-11T07:02:16.681827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:02:17.292436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)67.3%
Missing8
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean210516.56
Minimum206919.48
Maximum213504.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T07:02:18.119963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206919.48
5-th percentile208394.06
Q1209556.91
median210480.68
Q3210986.46
95-th percentile212997.88
Maximum213504.67
Range6585.1954
Interquartile range (IQR)1429.5499

Descriptive statistics

Standard deviation1379.446
Coefficient of variation (CV)0.0065526719
Kurtosis0.37039598
Mean210516.56
Median Absolute Deviation (MAD)521.64244
Skewness-0.0021299948
Sum21893722
Variance1902871.2
MonotonicityNot monotonic
2024-05-11T07:02:18.717623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 12
 
10.7%
210480.282018702 6
 
5.4%
210627.0 4
 
3.6%
211082.480335037 3
 
2.7%
210419.0 3
 
2.7%
209171.838192251 2
 
1.8%
209268.295466097 2
 
1.8%
212997.877055834 2
 
1.8%
209035.875632195 2
 
1.8%
212645.539631084 2
 
1.8%
Other values (60) 66
58.9%
(Missing) 8
 
7.1%
ValueCountFrequency (%)
206919.478094926 1
0.9%
206932.357872339 1
0.9%
207075.556776024 1
0.9%
208297.715132809 1
0.9%
208366.297102118 2
1.8%
208551.371598251 1
0.9%
208589.363343145 1
0.9%
208677.254571753 1
0.9%
208728.409991429 1
0.9%
208800.862255528 1
0.9%
ValueCountFrequency (%)
213504.673512111 1
0.9%
213442.189972532 2
1.8%
213208.024363606 1
0.9%
213061.477623641 1
0.9%
212997.877055834 2
1.8%
212975.386660044 1
0.9%
212795.906509854 1
0.9%
212645.539631084 2
1.8%
212557.224649997 1
0.9%
212441.817969105 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)67.3%
Missing8
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean443765.71
Minimum441426
Maximum447962.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T07:02:19.272625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441426
5-th percentile441725.29
Q1442544.98
median443729.96
Q3444993.51
95-th percentile445880.71
Maximum447962.89
Range6536.895
Interquartile range (IQR)2448.5296

Descriptive statistics

Standard deviation1480.7708
Coefficient of variation (CV)0.0033368302
Kurtosis-0.70498945
Mean443765.71
Median Absolute Deviation (MAD)1259.0481
Skewness0.18832873
Sum46151634
Variance2192682.2
MonotonicityNot monotonic
2024-05-11T07:02:19.932367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 12
 
10.7%
441833.16323518 6
 
5.4%
442875.0 4
 
3.6%
443326.359340829 3
 
2.7%
442768.0 3
 
2.7%
445176.833097405 2
 
1.8%
444796.272057681 2
 
1.8%
444374.016924722 2
 
1.8%
445898.643365404 2
 
1.8%
443127.535494347 2
 
1.8%
Other values (60) 66
58.9%
(Missing) 8
 
7.1%
ValueCountFrequency (%)
441426.0 1
 
0.9%
441446.0 1
 
0.9%
441725.293491662 12
10.7%
441833.16323518 6
5.4%
442026.988783 1
 
0.9%
442137.578674 1
 
0.9%
442395.0 1
 
0.9%
442422.024796805 1
 
0.9%
442448.0 1
 
0.9%
442499.919987256 1
 
0.9%
ValueCountFrequency (%)
447962.894984063 1
0.9%
447272.407406348 1
0.9%
446042.592367722 1
0.9%
445929.026896391 1
0.9%
445898.643365404 2
1.8%
445779.100983519 1
0.9%
445760.887832739 1
0.9%
445716.590464937 1
0.9%
445657.80932984 1
0.9%
445633.926336746 1
0.9%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03230000PHMG32005323003404740000120050617<NA>3폐업3폐업20160603<NA><NA><NA>422-8283<NA><NA>서울특별시 송파구 잠실동 40번지 1호서울특별시 송파구 올림픽로 240 (잠실동, 롯데월드)5554동부대우전자서비스(주)잠실센터2016-06-03 15:37:55I2018-10-11 15:46:28.0<NA>208589.363343445455.904053<NA><NA><NA><NA>
13230000PHMG32006323003404740000120060117<NA>3폐업3폐업20110531<NA><NA><NA><NA><NA>138862서울특별시 송파구 잠실본동 196번지 올림피아빌딩 704서울특별시 송파구 백제고분로 75 (잠실동,올림피아빌딩 704)<NA>케어플러스메디칼(주)2011-05-31 17:59:26I2018-10-11 15:46:28.0<NA>206932.357872445301.060652<NA><NA><NA><NA>
23230000PHMG32010323003404740000120100309<NA>3폐업3폐업20211208<NA><NA><NA>02-2067-9142<NA><NA>서울특별시 송파구 문정동 651번지 10호 파트너스1서울특별시 송파구 법원로 92, 파트너스1 7층 712호 (문정동)5855(주)리스퀘어시스템즈2021-12-08 13:47:03U2021-12-10 02:40:00.0<NA>210652.0442395.0<NA><NA><NA><NA>
33230000PHMG32011323003404740000120110221<NA>3폐업3폐업20170428<NA><NA><NA>2203-2333<NA>138836서울특별시 송파구 방이1동 227번지 12호서울특별시 송파구 오금로 229 (방이동)5644(주)대세엠케어2017-04-28 17:07:23I2018-10-11 15:46:28.0<NA>210469.259787444989.006177<NA><NA><NA><NA>
43230000PHMG32011323003404740000220110225<NA>3폐업3폐업20120406<NA><NA><NA><NA><NA>138830서울특별시 송파구 방이2동 124번지 13호 유림빌딩 407호서울특별시 송파구 오금로 193 (방이동, 유림빌딩407호)138830정우인터내셔널2012-04-06 16:20:59I2018-10-11 15:46:28.0<NA>210178.512549445161.753766<NA><NA><NA><NA>
53230000PHMG32011323003404740000320110520<NA>3폐업3폐업20190116<NA><NA><NA>422-9577<NA>138854서울특별시 송파구 송파2동 186번지 3호 KR빌딩 1층서울특별시 송파구 송파대로34길 15 (송파동, KR빌딩 1층)5677위니아서비스송파점2019-01-16 16:59:25U2019-01-18 02:40:00.0<NA>210011.864652444115.896831<NA><NA><NA><NA>
63230000PHMG32011323003404740000420110701<NA>3폐업3폐업20170508<NA><NA><NA><NA><NA>138813서울특별시 송파구 거여1동 22번지 1호 1층서울특별시 송파구 오금로59길 3-28, 1층 (거여동)5744장애인복지협회2017-05-17 10:26:34I2018-10-11 15:46:28.0<NA>212557.22465443600.599144<NA><NA><NA><NA>
73230000PHMG32011323003404740000520110801<NA>3폐업3폐업20120803<NA><NA><NA>420-9774<NA>138830서울특별시 송파구 방이2동 124번지 13호 유림빌딩 407호서울특별시 송파구 오금로 193 (방이동, 유림빌딩407호)138830휴먼상사2012-08-03 11:25:12I2018-10-11 15:46:28.0<NA>210178.512549445161.753766<NA><NA><NA><NA>
83230000PHMG3201132300340474000062011-08-01<NA>3폐업3폐업2024-03-18<NA><NA><NA>443-4456<NA><NA>서울특별시 송파구 오금동 115번지 2호 앞썬빌딩서울특별시 송파구 마천로27길 3, 앞썬빌딩 3층 (오금동)5731앞썬2024-03-18 15:36:31U2023-12-02 22:00:00.0<NA>212333.024121444522.949624<NA><NA><NA><NA>
93230000PHMG32011323003404740000720110801<NA>3폐업3폐업20130329<NA><NA><NA>422-5199<NA>138840서울특별시 송파구 삼전동 116번지 16호 2층서울특별시 송파구 백제고분로31길 19, 2층 (삼전동)138840(주)메디이노2013-03-29 17:42:01I2018-10-11 15:46:28.0<NA>208366.297102444687.690016<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
1023230000PHMG32022323003404740000320221208<NA>1영업/정상13영업중<NA><NA><NA><NA>02-422-9577<NA><NA>서울특별시 송파구 가락동 125-8 상아빌딩서울특별시 송파구 송이로 171, 상아빌딩 4층 (가락동)5827(주)위니아서비스 송파점2022-12-08 20:31:05I2021-11-01 23:00:00.0<NA>211082.480335443326.359341<NA><NA><NA><NA>
1033230000PHMG32023323003404740000120120405<NA>1영업/정상13영업중<NA><NA><NA><NA>031-733-8657<NA><NA>서울특별시 송파구 문정동 634 가든파이브라이프서울특별시 송파구 충민로 66, 가든파이브라이프 9층 F-9059호 (문정동)5838(주)비앤비헬스케어2023-01-06 10:12:00I2022-12-01 00:08:00.0<NA>210986.460698441725.293492<NA><NA><NA><NA>
1043230000PHMG32023323003404740000220170220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 628 가든파이브툴서울특별시 송파구 충민로 10, 가든파이브툴 2층 D52호 (문정동)5840메디헬스2023-01-25 09:39:04I2022-11-30 22:07:00.0<NA>210480.282019441833.163235<NA><NA><NA><NA>
1053230000PHMG3202332300340474000032023-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 628 가든파이브툴서울특별시 송파구 충민로 10, 가든파이브툴 3층 비28호 (문정동)5840이안헬스케어2023-02-20 16:57:18U2022-12-01 22:02:00.0<NA>210480.282019441833.163235<NA><NA><NA><NA>
1063230000PHMG3202332300340474000042023-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6475-1883<NA><NA>서울특별시 송파구 신천동 7-20 한국루터회관서울특별시 송파구 올림픽로35다길 42, 한국루터회관 4층 (신천동)5510에르베메디칼코리아 유한회사2024-02-23 11:16:05U2023-12-01 22:05:00.0<NA>209035.875632445898.643365<NA><NA><NA><NA>
1073230000PHMG3202332300340474000052023-03-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 125-8 상아빌딩서울특별시 송파구 송이로 171, 상아빌딩 4층 (가락동)5827위니아서비스 송파점2023-03-31 08:54:55I2022-12-04 00:02:00.0<NA>211082.480335443326.359341<NA><NA><NA><NA>
1083230000PHMG3202332300340474000062023-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 양산로 14, 세신거여종합상가 318호 (거여동)5779메디앤에스2023-04-20 16:24:38I2022-12-03 22:03:00.0<NA>212645.539631443127.535494<NA><NA><NA><NA>
1093230000PHMG3202332300340474000072023-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3484-1157<NA><NA>서울특별시 송파구 신천동 29 롯데월드타워앤드롯데월드몰서울특별시 송파구 올림픽로 300, 롯데월드타워앤드롯데월드몰 37층 (신천동)5551한국다케다제약(주)2023-08-24 10:31:27I2022-12-07 22:06:00.0<NA>209074.90084445657.80933<NA><NA><NA><NA>
1103230000PHMG3202332300340474000082023-08-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-431-0143<NA><NA>서울특별시 송파구 문정동 644 문정현대지식산업센터1-1서울특별시 송파구 법원로11길 11, 문정현대지식산업센터1-1 B동 1511호 (문정동)5836(주)포유메디2023-08-31 09:54:51I2022-12-09 00:02:00.0<NA><NA><NA><NA><NA><NA><NA>
1113230000PHMG3202432300340474000012024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-443-4456<NA><NA>서울특별시 송파구 오금동 115-2 앞썬빌딩서울특별시 송파구 마천로27길 3, 앞썬빌딩 3층 (오금동)5731(주)앞썬아이앤씨2024-03-20 06:38:35U2023-12-02 22:03:00.0<NA>212333.024121444522.949624<NA><NA><NA><NA>