Overview

Dataset statistics

Number of variables29
Number of observations45
Missing cells498
Missing cells (%)38.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory250.9 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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16407/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 45 (100.0%) missing valuesMissing
폐업일자 has 26 (57.8%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
재개업일자 has 45 (100.0%) missing valuesMissing
전화번호 has 1 (2.2%) missing valuesMissing
소재지면적 has 45 (100.0%) missing valuesMissing
소재지우편번호 has 16 (35.6%) missing valuesMissing
도로명우편번호 has 5 (11.1%) missing valuesMissing
업태구분명 has 45 (100.0%) missing valuesMissing
수리대상 의료기기의 유형 has 45 (100.0%) missing valuesMissing
다른 겸업 여부 has 45 (100.0%) missing valuesMissing
총규모 has 45 (100.0%) missing valuesMissing
영업규모 has 45 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 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 started2024-04-06 13:11:36.534066
Analysis finished2024-04-06 13:11:37.138361
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
3010000
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 45
100.0%

Length

2024-04-06T22:11:37.250531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:11:37.416170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 45
100.0%

관리번호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-06T22:11:37.709841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1125
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

Unique45 ?
Unique (%)100.0%

Sample

1st rowPHMG320043010033047400001
2nd rowPHMG320043010033047400002
3rd rowPHMG320043010033047400003
4th rowPHMG320043010033047400004
5th rowPHMG320053010033047400001
ValueCountFrequency (%)
phmg320043010033047400001 1
 
2.2%
phmg320083010033047400001 1
 
2.2%
phmg320103010033047400001 1
 
2.2%
phmg320103010033047400002 1
 
2.2%
phmg320113010033047400001 1
 
2.2%
phmg320113010033047400002 1
 
2.2%
phmg320123010033047400001 1
 
2.2%
phmg320123010033047400002 1
 
2.2%
phmg320133010033047400002 1
 
2.2%
phmg320133010033047400003 1
 
2.2%
Other values (35) 35
77.8%
2024-04-06T22:11:38.316884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 425
37.8%
3 190
16.9%
4 100
 
8.9%
1 86
 
7.6%
2 64
 
5.7%
7 51
 
4.5%
P 45
 
4.0%
H 45
 
4.0%
M 45
 
4.0%
G 45
 
4.0%
Other values (4) 29
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 945
84.0%
Uppercase Letter 180
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 425
45.0%
3 190
20.1%
4 100
 
10.6%
1 86
 
9.1%
2 64
 
6.8%
7 51
 
5.4%
5 20
 
2.1%
6 5
 
0.5%
8 2
 
0.2%
9 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 45
25.0%
H 45
25.0%
M 45
25.0%
G 45
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 945
84.0%
Latin 180
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 425
45.0%
3 190
20.1%
4 100
 
10.6%
1 86
 
9.1%
2 64
 
6.8%
7 51
 
5.4%
5 20
 
2.1%
6 5
 
0.5%
8 2
 
0.2%
9 2
 
0.2%
Latin
ValueCountFrequency (%)
P 45
25.0%
H 45
25.0%
M 45
25.0%
G 45
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 425
37.8%
3 190
16.9%
4 100
 
8.9%
1 86
 
7.6%
2 64
 
5.7%
7 51
 
4.5%
P 45
 
4.0%
H 45
 
4.0%
M 45
 
4.0%
G 45
 
4.0%
Other values (4) 29
 
2.6%

인허가일자
Date

Distinct41
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2004-10-04 00:00:00
Maximum2022-11-23 00:00:00
2024-04-06T22:11:38.554286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:11:38.774302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
1
24 
3
19 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
53.3%
3 19
42.2%
5 2
 
4.4%

Length

2024-04-06T22:11:39.034401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:11:39.208392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
53.3%
3 19
42.2%
5 2
 
4.4%

영업상태명
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
영업/정상
24 
폐업
19 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length3.8666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 24
53.3%
폐업 19
42.2%
제외/삭제/전출 2
 
4.4%

Length

2024-04-06T22:11:39.416885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:11:39.599726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 24
53.3%
폐업 19
42.2%
제외/삭제/전출 2
 
4.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
13
24 
3
16 
24
3 
15
 
2

Length

Max length2
Median length2
Mean length1.6444444
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 24
53.3%
3 16
35.6%
24 3
 
6.7%
15 2
 
4.4%

Length

2024-04-06T22:11:39.786449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:11:39.976568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 24
53.3%
3 16
35.6%
24 3
 
6.7%
15 2
 
4.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
영업중
24 
폐업
16 
직권폐업
3 
전출
 
2

Length

Max length4
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 24
53.3%
폐업 16
35.6%
직권폐업 3
 
6.7%
전출 2
 
4.4%

Length

2024-04-06T22:11:40.207906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:11:40.462056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 24
53.3%
폐업 16
35.6%
직권폐업 3
 
6.7%
전출 2
 
4.4%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing26
Missing (%)57.8%
Memory size492.0 B
Minimum2011-04-22 00:00:00
Maximum2023-10-11 00:00:00
2024-04-06T22:11:40.731433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:11:41.087188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

전화번호
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size492.0 B
2024-04-06T22:11:41.589396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.409091
Min length8

Characters and Unicode

Total characters458
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row776-7587
2nd row02-774-1127
3rd row02-754-0888
4th row02-2269-7680
5th row753-3455
ValueCountFrequency (%)
776-7587 1
 
2.3%
02-774-1127 1
 
2.3%
02-2022-3900 1
 
2.3%
02-776-0646 1
 
2.3%
756-0162 1
 
2.3%
2233-7368 1
 
2.3%
755-8452 1
 
2.3%
02-771-1680 1
 
2.3%
02-318-1271 1
 
2.3%
02-777-9669 1
 
2.3%
Other values (34) 34
77.3%
2024-04-06T22:11:42.083190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 75
16.4%
2 73
15.9%
7 70
15.3%
0 63
13.8%
6 34
7.4%
8 31
6.8%
3 30
 
6.6%
5 29
 
6.3%
4 19
 
4.1%
1 19
 
4.1%
Other values (2) 15
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 382
83.4%
Dash Punctuation 75
 
16.4%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 73
19.1%
7 70
18.3%
0 63
16.5%
6 34
8.9%
8 31
8.1%
3 30
7.9%
5 29
 
7.6%
4 19
 
5.0%
1 19
 
5.0%
9 14
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 458
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 75
16.4%
2 73
15.9%
7 70
15.3%
0 63
13.8%
6 34
7.4%
8 31
6.8%
3 30
 
6.6%
5 29
 
6.3%
4 19
 
4.1%
1 19
 
4.1%
Other values (2) 15
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 75
16.4%
2 73
15.9%
7 70
15.3%
0 63
13.8%
6 34
7.4%
8 31
6.8%
3 30
 
6.6%
5 29
 
6.3%
4 19
 
4.1%
1 19
 
4.1%
Other values (2) 15
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

소재지우편번호
Text

MISSING 

Distinct15
Distinct (%)51.7%
Missing16
Missing (%)35.6%
Memory size492.0 B
2024-04-06T22:11:42.319821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0689655
Min length6

Characters and Unicode

Total characters176
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)34.5%

Sample

1st row100161
2nd row100130
3rd row100340
4th row100130
5th row100859
ValueCountFrequency (%)
100161 9
31.0%
100130 3
 
10.3%
100800 3
 
10.3%
100095 2
 
6.9%
100802 2
 
6.9%
100340 1
 
3.4%
100859 1
 
3.4%
100858 1
 
3.4%
100272 1
 
3.4%
100-130 1
 
3.4%
Other values (5) 5
17.2%
2024-04-06T22:11:42.725314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74
42.0%
1 52
29.5%
6 10
 
5.7%
8 10
 
5.7%
3 7
 
4.0%
9 5
 
2.8%
5 5
 
2.8%
2 5
 
2.8%
4 3
 
1.7%
7 2
 
1.1%
Other values (2) 3
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 173
98.3%
Dash Punctuation 2
 
1.1%
Space Separator 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
42.8%
1 52
30.1%
6 10
 
5.8%
8 10
 
5.8%
3 7
 
4.0%
9 5
 
2.9%
5 5
 
2.9%
2 5
 
2.9%
4 3
 
1.7%
7 2
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 74
42.0%
1 52
29.5%
6 10
 
5.7%
8 10
 
5.7%
3 7
 
4.0%
9 5
 
2.8%
5 5
 
2.8%
2 5
 
2.8%
4 3
 
1.7%
7 2
 
1.1%
Other values (2) 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74
42.0%
1 52
29.5%
6 10
 
5.7%
8 10
 
5.7%
3 7
 
4.0%
9 5
 
2.8%
5 5
 
2.8%
2 5
 
2.8%
4 3
 
1.7%
7 2
 
1.1%
Other values (2) 3
 
1.7%

지번주소
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-06T22:11:43.154508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length30
Mean length27.088889
Min length16

Characters and Unicode

Total characters1219
Distinct characters81
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

Unique45 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 봉래동1가 126번지 2호 태평빌딩 303호
2nd row서울특별시 중구 봉래동1가 132번지 6호 일신빌딩 213호
3rd row서울특별시 중구 순화동 151번지 포스코더샵 602호
4th row서울특별시 중구 산림동 112번지 1호 3층
5th row서울특별시 중구 151번지 포스코더샵 401호
ValueCountFrequency (%)
서울특별시 45
 
17.4%
중구 45
 
17.4%
봉래동1가 11
 
4.2%
남대문로5가 11
 
4.2%
6호 9
 
3.5%
132번지 7
 
2.7%
151번지 5
 
1.9%
순화동 4
 
1.5%
중림동 4
 
1.5%
63번지 4
 
1.5%
Other values (89) 114
44.0%
2024-04-06T22:11:43.867521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
 
17.8%
1 71
 
5.8%
중 49
 
4.0%
서 47
 
3.9%
특 45
 
3.7%
별 45
 
3.7%
시 45
 
3.7%
구 45
 
3.7%
울 45
 
3.7%
호 44
 
3.6%
Other values (71) 566
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 734
60.2%
Decimal Number 253
 
20.8%
Space Separator 217
 
17.8%
Dash Punctuation 6
 
0.5%
Uppercase Letter 3
 
0.2%
Other Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 49
 
6.7%
서 47
 
6.4%
특 45
 
6.1%
별 45
 
6.1%
시 45
 
6.1%
구 45
 
6.1%
울 45
 
6.1%
호 44
 
6.0%
지 39
 
5.3%
번 38
 
5.2%
Other values (53) 292
39.8%
Decimal Number
ValueCountFrequency (%)
1 71
28.1%
2 36
14.2%
3 34
13.4%
6 28
 
11.1%
5 25
 
9.9%
0 25
 
9.9%
4 13
 
5.1%
7 9
 
3.6%
8 8
 
3.2%
9 4
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 734
60.2%
Common 482
39.5%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 49
 
6.7%
서 47
 
6.4%
특 45
 
6.1%
별 45
 
6.1%
시 45
 
6.1%
구 45
 
6.1%
울 45
 
6.1%
호 44
 
6.0%
지 39
 
5.3%
번 38
 
5.2%
Other values (53) 292
39.8%
Common
ValueCountFrequency (%)
217
45.0%
1 71
 
14.7%
2 36
 
7.5%
3 34
 
7.1%
6 28
 
5.8%
5 25
 
5.2%
0 25
 
5.2%
4 13
 
2.7%
7 9
 
1.9%
8 8
 
1.7%
Other values (5) 16
 
3.3%
Latin
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 734
60.2%
ASCII 485
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
44.7%
1 71
 
14.6%
2 36
 
7.4%
3 34
 
7.0%
6 28
 
5.8%
5 25
 
5.2%
0 25
 
5.2%
4 13
 
2.7%
7 9
 
1.9%
8 8
 
1.6%
Other values (8) 19
 
3.9%
Hangul
ValueCountFrequency (%)
중 49
 
6.7%
서 47
 
6.4%
특 45
 
6.1%
별 45
 
6.1%
시 45
 
6.1%
구 45
 
6.1%
울 45
 
6.1%
호 44
 
6.0%
지 39
 
5.3%
번 38
 
5.2%
Other values (53) 292
39.8%

도로명주소
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-06T22:11:44.225703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length32.822222
Min length22

Characters and Unicode

Total characters1477
Distinct characters96
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

Unique45 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 통일로 30, 303호 (봉래동1가, 태평빌딩)
2nd row서울특별시 중구 통일로 24, 213호 (봉래동1가, 일신빌딩)
3rd row서울특별시 중구 칠패로 27 (순화동, 포스코더샵 602호)
4th row서울특별시 중구 창경궁로5다길 19, 3층 (산림동)
5th row서울특별시 중구 칠패로 27 (순화동, 포스코더샵 401호)
ValueCountFrequency (%)
서울특별시 45
 
15.4%
중구 45
 
15.4%
남대문로5가 10
 
3.4%
통일로 10
 
3.4%
봉래동1가 9
 
3.1%
칠패로 7
 
2.4%
24 6
 
2.1%
27 6
 
2.1%
순화동 6
 
2.1%
신당동 4
 
1.4%
Other values (106) 144
49.3%
2024-04-06T22:11:44.740144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
 
16.7%
로 58
 
3.9%
, 56
 
3.8%
2 51
 
3.5%
중 50
 
3.4%
서 48
 
3.2%
울 45
 
3.0%
( 45
 
3.0%
) 45
 
3.0%
특 45
 
3.0%
Other values (86) 787
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 834
56.5%
Space Separator 247
 
16.7%
Decimal Number 238
 
16.1%
Other Punctuation 56
 
3.8%
Open Punctuation 45
 
3.0%
Close Punctuation 45
 
3.0%
Dash Punctuation 8
 
0.5%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 58
 
7.0%
중 50
 
6.0%
서 48
 
5.8%
울 45
 
5.4%
특 45
 
5.4%
별 45
 
5.4%
구 45
 
5.4%
시 45
 
5.4%
동 37
 
4.4%
가 30
 
3.6%
Other values (68) 386
46.3%
Decimal Number
ValueCountFrequency (%)
2 51
21.4%
1 37
15.5%
0 31
13.0%
4 31
13.0%
3 26
10.9%
5 25
10.5%
9 11
 
4.6%
7 10
 
4.2%
6 9
 
3.8%
8 7
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
B 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
247
100.0%
Other Punctuation
ValueCountFrequency (%)
, 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 834
56.5%
Common 639
43.3%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 58
 
7.0%
중 50
 
6.0%
서 48
 
5.8%
울 45
 
5.4%
특 45
 
5.4%
별 45
 
5.4%
구 45
 
5.4%
시 45
 
5.4%
동 37
 
4.4%
가 30
 
3.6%
Other values (68) 386
46.3%
Common
ValueCountFrequency (%)
247
38.7%
, 56
 
8.8%
2 51
 
8.0%
( 45
 
7.0%
) 45
 
7.0%
1 37
 
5.8%
0 31
 
4.9%
4 31
 
4.9%
3 26
 
4.1%
5 25
 
3.9%
Other values (5) 45
 
7.0%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 834
56.5%
ASCII 643
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
38.4%
, 56
 
8.7%
2 51
 
7.9%
( 45
 
7.0%
) 45
 
7.0%
1 37
 
5.8%
0 31
 
4.8%
4 31
 
4.8%
3 26
 
4.0%
5 25
 
3.9%
Other values (8) 49
 
7.6%
Hangul
ValueCountFrequency (%)
로 58
 
7.0%
중 50
 
6.0%
서 48
 
5.8%
울 45
 
5.4%
특 45
 
5.4%
별 45
 
5.4%
구 45
 
5.4%
시 45
 
5.4%
동 37
 
4.4%
가 30
 
3.6%
Other values (68) 386
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)47.5%
Missing5
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean16553.175
Minimum4506
Maximum100819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T22:11:44.920592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4506
5-th percentile4510
Q14512
median4514
Q34556
95-th percentile100800
Maximum100819
Range96313
Interquartile range (IQR)44

Descriptive statistics

Standard deviation32212.581
Coefficient of variation (CV)1.9460062
Kurtosis3.7407979
Mean16553.175
Median Absolute Deviation (MAD)6
Skewness2.3571261
Sum662127
Variance1.0376504 × 109
MonotonicityNot monotonic
2024-04-06T22:11:45.118971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4512 11
24.4%
4511 6
13.3%
4527 4
 
8.9%
4510 2
 
4.4%
4529 2
 
4.4%
100800 2
 
4.4%
4538 1
 
2.2%
4625 1
 
2.2%
4516 1
 
2.2%
4545 1
 
2.2%
Other values (9) 9
20.0%
(Missing) 5
11.1%
ValueCountFrequency (%)
4506 1
 
2.2%
4510 2
 
4.4%
4511 6
13.3%
4512 11
24.4%
4516 1
 
2.2%
4527 4
 
8.9%
4529 2
 
4.4%
4538 1
 
2.2%
4545 1
 
2.2%
4547 1
 
2.2%
ValueCountFrequency (%)
100819 1
2.2%
100800 2
4.4%
100727 1
2.2%
100391 1
2.2%
4637 1
2.2%
4625 1
2.2%
4611 1
2.2%
4598 1
2.2%
4583 1
2.2%
4547 1
2.2%

사업장명
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-06T22:11:45.504392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length7.2444444
Min length3

Characters and Unicode

Total characters326
Distinct characters118
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row(주)남성의료기
2nd row(주)흥진메디칼
3rd row(주)다목양행
4th row상도사
5th row(주)원효통상
ValueCountFrequency (%)
고운덴탈 2
 
4.2%
서울케어 1
 
2.1%
충무로역서비스센터 1
 
2.1%
디만트코리아(주 1
 
2.1%
주)세신유나이티드 1
 
2.1%
주)덴탈허브 1
 
2.1%
주)아이앤유케어 1
 
2.1%
주)에이치엠프라자 1
 
2.1%
드림메디칼(주 1
 
2.1%
주식회사 1
 
2.1%
Other values (37) 37
77.1%
2024-04-06T22:11:46.148869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
8.3%
( 25
 
7.7%
) 25
 
7.7%
이 11
 
3.4%
사 10
 
3.1%
상 10
 
3.1%
치 9
 
2.8%
스 8
 
2.5%
덴 8
 
2.5%
디 8
 
2.5%
Other values (108) 185
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 272
83.4%
Open Punctuation 25
 
7.7%
Close Punctuation 25
 
7.7%
Space Separator 3
 
0.9%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
9.9%
이 11
 
4.0%
사 10
 
3.7%
상 10
 
3.7%
치 9
 
3.3%
스 8
 
2.9%
덴 8
 
2.9%
디 8
 
2.9%
과 8
 
2.9%
아 7
 
2.6%
Other values (104) 166
61.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
83.7%
Common 53
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
9.9%
이 11
 
4.0%
사 10
 
3.7%
상 10
 
3.7%
치 9
 
3.3%
스 8
 
2.9%
덴 8
 
2.9%
디 8
 
2.9%
과 8
 
2.9%
아 7
 
2.6%
Other values (105) 167
61.2%
Common
ValueCountFrequency (%)
( 25
47.2%
) 25
47.2%
3
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 272
83.4%
ASCII 53
 
16.3%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
9.9%
이 11
 
4.0%
사 10
 
3.7%
상 10
 
3.7%
치 9
 
3.3%
스 8
 
2.9%
덴 8
 
2.9%
디 8
 
2.9%
과 8
 
2.9%
아 7
 
2.6%
Other values (104) 166
61.0%
ASCII
ValueCountFrequency (%)
( 25
47.2%
) 25
47.2%
3
 
5.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2011-04-22 11:02:21
Maximum2023-12-26 17:16:56
2024-04-06T22:11:46.398095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:11:47.050965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
I
25 
U
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 25
55.6%
U 20
44.4%

Length

2024-04-06T22:11:47.312320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:11:47.505071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 25
55.6%
u 20
44.4%

데이터갱신일자
Date

Distinct24
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2018-10-11 15:46:28
Maximum2022-12-06 00:08:00
2024-04-06T22:11:47.704250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:11:47.926100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

좌표정보(X)
Real number (ℝ)

Distinct33
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198102.1
Minimum196864.94
Maximum201906.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T22:11:48.188621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196864.94
5-th percentile197175.2
Q1197464.65
median197491.85
Q3197791.11
95-th percentile201091.61
Maximum201906.89
Range5041.9425
Interquartile range (IQR)326.45312

Descriptive statistics

Standard deviation1277.7643
Coefficient of variation (CV)0.0064500287
Kurtosis2.2677535
Mean198102.1
Median Absolute Deviation (MAD)97.607513
Skewness1.8658931
Sum8914594.6
Variance1632681.5
MonotonicityNot monotonic
2024-04-06T22:11:48.425066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
197462.198757043 6
 
13.3%
197476.733641931 6
 
13.3%
197747.778200542 2
 
4.4%
197175.200250032 2
 
4.4%
197464.65197896 1
 
2.2%
201906.885317989 1
 
2.2%
201159.507256582 1
 
2.2%
198054.035874039 1
 
2.2%
197113.862033802 1
 
2.2%
201501.488617913 1
 
2.2%
Other values (23) 23
51.1%
ValueCountFrequency (%)
196864.942838297 1
 
2.2%
197113.862033802 1
 
2.2%
197175.200250032 2
 
4.4%
197450.293515357 1
 
2.2%
197462.198757043 6
13.3%
197464.65197896 1
 
2.2%
197470.535483079 1
 
2.2%
197476.733641931 6
13.3%
197477.060775895 1
 
2.2%
197486.418122228 1
 
2.2%
ValueCountFrequency (%)
201906.885317989 1
2.2%
201501.488617913 1
2.2%
201159.507256582 1
2.2%
200820.038484557 1
2.2%
200672.754373386 1
2.2%
200089.378517915 1
2.2%
199615.301967385 1
2.2%
199424.210387436 1
2.2%
198783.220727646 1
2.2%
198054.035874039 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct33
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450812.19
Minimum450173.97
Maximum451725.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-06T22:11:48.659546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450173.97
5-th percentile450577.97
Q1450632.16
median450683.05
Q3450878.21
95-th percentile451422.61
Maximum451725.14
Range1551.1693
Interquartile range (IQR)246.05272

Descriptive statistics

Standard deviation304.86936
Coefficient of variation (CV)0.0006762669
Kurtosis1.468862
Mean450812.19
Median Absolute Deviation (MAD)115.05184
Skewness1.0713511
Sum20286549
Variance92945.329
MonotonicityNot monotonic
2024-04-06T22:11:48.882589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
450878.211786274 6
 
13.3%
450632.159070388 6
 
13.3%
450625.764220466 2
 
4.4%
450823.319779918 2
 
4.4%
450678.247827876 1
 
2.2%
451201.915936364 1
 
2.2%
451391.21779341 1
 
2.2%
450961.586471928 1
 
2.2%
450798.106333669 1
 
2.2%
451419.199682443 1
 
2.2%
Other values (23) 23
51.1%
ValueCountFrequency (%)
450173.966697254 1
 
2.2%
450309.162582147 1
 
2.2%
450577.093423976 1
 
2.2%
450581.466801022 1
 
2.2%
450601.839417971 1
 
2.2%
450610.74637891 1
 
2.2%
450617.158990348 1
 
2.2%
450618.79824626 1
 
2.2%
450625.764220466 2
 
4.4%
450632.159070388 6
13.3%
ValueCountFrequency (%)
451725.135951266 1
2.2%
451456.165776841 1
2.2%
451423.465824287 1
2.2%
451419.199682443 1
2.2%
451391.21779341 1
2.2%
451201.915936364 1
2.2%
451184.591163055 1
2.2%
450961.586471928 1
2.2%
450959.66448749 1
2.2%
450943.141144665 1
2.2%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03010000PHMG32004301003304740000120041102<NA>3폐업3폐업20170131<NA><NA><NA>776-7587<NA>100161서울특별시 중구 봉래동1가 126번지 2호 태평빌딩 303호서울특별시 중구 통일로 30, 303호 (봉래동1가, 태평빌딩)4512(주)남성의료기2017-01-31 14:53:28I2018-10-11 15:46:28.0<NA>197464.651979450678.247828<NA><NA><NA><NA>
13010000PHMG3200430100330474000022004-12-30<NA>3폐업3폐업2023-10-11<NA><NA><NA>02-774-1127<NA><NA>서울특별시 중구 봉래동1가 132번지 6호 일신빌딩 213호서울특별시 중구 통일로 24, 213호 (봉래동1가, 일신빌딩)4512(주)흥진메디칼2023-10-11 14:48:28U2022-10-30 23:04:00.0<NA>197476.733642450632.15907<NA><NA><NA><NA>
23010000PHMG32004301003304740000320041004<NA>1영업/정상13영업중<NA><NA><NA><NA>02-754-0888<NA>100130서울특별시 중구 순화동 151번지 포스코더샵 602호서울특별시 중구 칠패로 27 (순화동, 포스코더샵 602호)4511(주)다목양행2013-07-31 11:57:05I2018-10-11 15:46:28.0<NA>197462.198757450878.211786<NA><NA><NA><NA>
33010000PHMG32004301003304740000420041005<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2269-7680<NA>100340서울특별시 중구 산림동 112번지 1호 3층서울특별시 중구 창경궁로5다길 19, 3층 (산림동)4545상도사2015-07-02 10:14:18I2018-10-11 15:46:28.0<NA>199615.301967451725.135951<NA><NA><NA><NA>
43010000PHMG32005301003304740000120050425<NA>1영업/정상13영업중<NA><NA><NA><NA>753-3455<NA>100130서울특별시 중구 151번지 포스코더샵 401호서울특별시 중구 칠패로 27 (순화동, 포스코더샵 401호)4511(주)원효통상2020-07-21 17:07:17U2020-07-23 02:40:00.0<NA>197462.198757450878.211786<NA><NA><NA><NA>
53010000PHMG32005301003304740000220050526<NA>1영업/정상13영업중<NA><NA><NA><NA>02-777-2804<NA><NA>서울특별시 중구 남대문로5가 163번지서울특별시 중구 세종대로4길 25, 5층 (남대문로5가)4527(주)광명데이콤2019-05-13 09:35:02U2019-05-15 02:40:00.0<NA>197747.778201450625.76422<NA><NA><NA><NA>
63010000PHMG32005301003304740000320050502<NA>3폐업3폐업20140501<NA><NA><NA>365-2340<NA>100859서울특별시 중구 중림동 200번지 삼성래미안상가 C-203서울특별시 중구 중림로 10 (중림동,삼성래미안상가 C-203)100727찬스덴탈2014-05-01 16:14:43I2018-10-11 15:46:28.0<NA>196864.942838450649.698043<NA><NA><NA><NA>
73010000PHMG32005301003304740000420050623<NA>1영업/정상13영업중<NA><NA><NA><NA>755-3354<NA>100161서울특별시 중구 봉래동1가 126번지 1호 신성빌딩 207호서울특별시 중구 세종대로5길 39, 207호 (봉래동1가, 신성빌딩)4512경재치과상사2014-02-11 15:43:26I2018-10-11 15:46:28.0<NA>197486.418122450683.054496<NA><NA><NA><NA>
83010000PHMG32005301003304740000520051129<NA>1영업/정상13영업중<NA><NA><NA><NA>776-3889<NA>100161서울특별시 중구 봉래동1가 132번지 6호 일신빌딩 601호서울특별시 중구 통일로 24 (봉래동1가,일신빌딩 601호)<NA>남화치과상사2013-06-14 17:52:12I2018-10-11 15:46:28.0<NA>197476.733642450632.15907<NA><NA><NA><NA>
93010000PHMG32005301003304740000620050620<NA>3폐업3폐업20120409<NA><NA><NA>777-1422<NA>100095서울특별시 중구 남대문로5가 84번지 8호 영빌딩 2층서울특별시 중구 세종대로 8 (남대문로5가,영빌딩 2층)<NA>(주)영덴탈2012-04-09 17:06:43I2018-10-11 15:46:28.0<NA>197589.457306450581.466801<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
353010000PHMG32014301003304740000220140728<NA>3폐업3폐업20150326<NA><NA><NA>02-2278-2560<NA>100391서울특별시 중구 장충동1가 49번지 3호 태영이너스 B101호서울특별시 중구 장충단로6길 42, 지하1층 B101호 (장충동1가, 태영이너스)100391제일의료기2015-03-26 19:19:27I2018-10-11 15:46:28.0<NA>200672.754373450923.050241<NA><NA><NA><NA>
363010000PHMG32015301003304740000120150513<NA>3폐업3폐업20200205<NA><NA><NA>02-318-1333<NA>100161서울특별시 중구 봉래동1가 132번지 6호 일신빌딩 303호서울특별시 중구 통일로 24, 303호 (봉래동1가, 일신빌딩)4512동주치과컨설팅(주)2020-02-05 18:18:25U2020-02-07 02:40:00.0<NA>197476.733642450632.15907<NA><NA><NA><NA>
373010000PHMG32016301003304740000120160419<NA>1영업/정상13영업중<NA><NA><NA><NA>02-752-2580<NA><NA>서울특별시 중구 남대문로4가 3-1서울특별시 중구 남대문로 16-1, 2층 (남대문로4가)4529미국보청기2020-12-10 14:34:34U2020-12-12 02:40:00.0<NA>197953.063113450943.141145<NA><NA><NA><NA>
383010000PHMG32016301003304740000220160721<NA>1영업/정상13영업중<NA><NA><NA><NA>02-774-2875<NA><NA>서울특별시 중구 봉래동1가 132번지 6호서울특별시 중구 통일로 24 (봉래동1가, 일신빌딩)4512고운덴탈2016-08-04 21:54:27I2018-10-11 15:46:28.0<NA>197476.733642450632.15907<NA><NA><NA><NA>
393010000PHMG32016301003304740000320140728<NA>1영업/정상13영업중<NA><NA><NA><NA>02-709-1434<NA><NA>서울특별시 중구 남대문로5가 827번지서울특별시 중구 소월로2길 30 (남대문로5가, 남산트라팰리스)4637(주)필립스코리아2022-11-15 21:38:55U2021-10-31 23:07:00.0<NA>197791.105095450173.966697<NA><NA><NA><NA>
403010000PHMG32017301003304740000120170417<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-318-2890<NA><NA>서울특별시 중구 남대문로5가 63번지 8호 205호서울특별시 중구 세종대로 3, 205호 (남대문로5가)4512핸드피스센터2022-05-09 10:03:58U2021-12-04 23:01:00.0<NA>197491.849793450601.839418<NA><NA><NA><NA>
413010000PHMG32017301003304740000220170925<NA>3폐업24직권폐업20191230<NA><NA><NA>02-2273-8381<NA>04547서울특별시 중구 오장동 139번지 16호서울특별시 중구 동호로33길 5 (오장동)4547중구오토바이2019-12-31 10:54:05U2020-01-02 02:40:00.0<NA>200089.378518451456.165777<NA><NA><NA><NA>
423010000PHMG32022301003304740000120220120<NA>1영업/정상13영업중<NA><NA><NA><NA>02-776-5280<NA><NA>서울특별시 중구 남대문로5가 63-25서울특별시 중구 세종대로 9-2, 3층 (남대문로5가)4512㈜태양메디텍2022-02-04 10:57:57I2022-02-06 00:22:38.0<NA>197540.655557450636.567867<NA><NA><NA><NA>
433010000PHMG32022301003304740000220220304<NA>1영업/정상13영업중<NA><NA><NA><NA>02-796-3000<NA><NA>서울특별시 중구 남대문로5가 163서울특별시 중구 세종대로4길 25, 202호 (남대문로5가)4527브레인랩 리미티드2022-03-14 17:04:50I2022-03-16 00:22:36.0<NA>197747.778201450625.76422<NA><NA><NA><NA>
443010000PHMG32022301003304740000320221123<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6972-9098<NA><NA>서울특별시 중구 신당동 361-4서울특별시 중구 동호로 191, 5층 503호 (신당동)4598(주)유유메디컬스2022-12-05 19:08:39I2021-11-02 00:07:00.0<NA>200820.038485450309.162582<NA><NA><NA><NA>