Overview

Dataset statistics

Number of variables29
Number of observations47
Missing cells548
Missing cells (%)40.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory250.8 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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16004/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 47 (100.0%) missing valuesMissing
폐업일자 has 32 (68.1%) missing valuesMissing
휴업시작일자 has 47 (100.0%) missing valuesMissing
휴업종료일자 has 47 (100.0%) missing valuesMissing
재개업일자 has 47 (100.0%) missing valuesMissing
전화번호 has 2 (4.3%) missing valuesMissing
소재지면적 has 47 (100.0%) missing valuesMissing
소재지우편번호 has 24 (51.1%) missing valuesMissing
지번주소 has 4 (8.5%) missing valuesMissing
도로명우편번호 has 14 (29.8%) missing valuesMissing
업태구분명 has 47 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.1%) missing valuesMissing
좌표정보(Y) has 1 (2.1%) missing valuesMissing
수리대상 의료기기의 유형 has 47 (100.0%) missing valuesMissing
다른 겸업 여부 has 47 (100.0%) missing valuesMissing
총규모 has 47 (100.0%) missing valuesMissing
영업규모 has 47 (100.0%) missing valuesMissing
관리번호 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 started2024-05-11 07:02:11.020613
Analysis finished2024-05-11 07:02:11.642453
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
3000000
47 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 47
100.0%

Length

2024-05-11T16:02:11.734781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:11.854969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 47
100.0%

관리번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T16:02:12.101992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1175
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

Unique47 ?
Unique (%)100.0%

Sample

1st rowPHMG320053000034047400001
2nd rowPHMG320053000034047400002
3rd rowPHMG320053000034047400003
4th rowPHMG320053000034047400004
5th rowPHMG320053000034047400005
ValueCountFrequency (%)
phmg320053000034047400001 1
 
2.1%
phmg320113000034047400003 1
 
2.1%
phmg320133000034047400002 1
 
2.1%
phmg320143000034047400001 1
 
2.1%
phmg320143000034047400002 1
 
2.1%
phmg320143000034047400003 1
 
2.1%
phmg320153000034047400001 1
 
2.1%
phmg320153000034047400002 1
 
2.1%
phmg320163000034047400001 1
 
2.1%
phmg320163000034047400002 1
 
2.1%
Other values (37) 37
78.7%
2024-05-11T16:02:12.590659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 486
41.4%
3 154
 
13.1%
4 147
 
12.5%
2 68
 
5.8%
7 51
 
4.3%
P 47
 
4.0%
H 47
 
4.0%
M 47
 
4.0%
G 47
 
4.0%
1 46
 
3.9%
Other values (4) 35
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 987
84.0%
Uppercase Letter 188
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 486
49.2%
3 154
 
15.6%
4 147
 
14.9%
2 68
 
6.9%
7 51
 
5.2%
1 46
 
4.7%
5 20
 
2.0%
9 7
 
0.7%
6 4
 
0.4%
8 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 47
25.0%
H 47
25.0%
M 47
25.0%
G 47
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 987
84.0%
Latin 188
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 486
49.2%
3 154
 
15.6%
4 147
 
14.9%
2 68
 
6.9%
7 51
 
5.2%
1 46
 
4.7%
5 20
 
2.0%
9 7
 
0.7%
6 4
 
0.4%
8 4
 
0.4%
Latin
ValueCountFrequency (%)
P 47
25.0%
H 47
25.0%
M 47
25.0%
G 47
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 486
41.4%
3 154
 
13.1%
4 147
 
12.5%
2 68
 
5.8%
7 51
 
4.3%
P 47
 
4.0%
H 47
 
4.0%
M 47
 
4.0%
G 47
 
4.0%
1 46
 
3.9%
Other values (4) 35
 
3.0%

인허가일자
Date

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2005-04-22 00:00:00
Maximum2023-11-16 00:00:00
2024-05-11T16:02:12.794572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:12.985312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
1
31 
3
15 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 31
66.0%
3 15
31.9%
5 1
 
2.1%

Length

2024-05-11T16:02:13.223339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:13.425553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
66.0%
3 15
31.9%
5 1
 
2.1%

영업상태명
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업/정상
31 
폐업
15 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.106383
Min length2

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 31
66.0%
폐업 15
31.9%
제외/삭제/전출 1
 
2.1%

Length

2024-05-11T16:02:13.739784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:13.969262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 31
66.0%
폐업 15
31.9%
제외/삭제/전출 1
 
2.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
13
31 
3
15 
15
 
1

Length

Max length2
Median length2
Mean length1.6808511
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 31
66.0%
3 15
31.9%
15 1
 
2.1%

Length

2024-05-11T16:02:14.141209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:14.297941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 31
66.0%
3 15
31.9%
15 1
 
2.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업중
31 
폐업
15 
전출
 
1

Length

Max length3
Median length3
Mean length2.6595745
Min length2

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 31
66.0%
폐업 15
31.9%
전출 1
 
2.1%

Length

2024-05-11T16:02:14.449180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:14.609067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 31
66.0%
폐업 15
31.9%
전출 1
 
2.1%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing32
Missing (%)68.1%
Memory size508.0 B
Minimum2011-06-01 00:00:00
Maximum2023-11-30 00:00:00
2024-05-11T16:02:14.730957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:14.877308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

전화번호
Text

MISSING 

Distinct40
Distinct (%)88.9%
Missing2
Missing (%)4.3%
Memory size508.0 B
2024-05-11T16:02:15.151156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.377778
Min length8

Characters and Unicode

Total characters512
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 (%)77.8%

Sample

1st row02-741-1461
2nd row02-708-8137
3rd row02-765-5998
4th row02-2279-5866
5th row02-737-5460
ValueCountFrequency (%)
02-2268-3377 2
 
4.4%
02-3276-2400 2
 
4.4%
02-2274-3755 2
 
4.4%
02-2003-8441 2
 
4.4%
02-737-5460 2
 
4.4%
02-467-1775 1
 
2.2%
02-3471-5894 1
 
2.2%
02-1599-9251 1
 
2.2%
02-6226-7230 1
 
2.2%
02-736-9966 1
 
2.2%
Other values (30) 30
66.7%
2024-05-11T16:02:15.626454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 88
17.2%
- 85
16.6%
0 71
13.9%
7 60
11.7%
3 41
8.0%
4 38
7.4%
6 34
 
6.6%
1 30
 
5.9%
5 26
 
5.1%
9 22
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 427
83.4%
Dash Punctuation 85
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 88
20.6%
0 71
16.6%
7 60
14.1%
3 41
9.6%
4 38
8.9%
6 34
 
8.0%
1 30
 
7.0%
5 26
 
6.1%
9 22
 
5.2%
8 17
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 88
17.2%
- 85
16.6%
0 71
13.9%
7 60
11.7%
3 41
8.0%
4 38
7.4%
6 34
 
6.6%
1 30
 
5.9%
5 26
 
5.1%
9 22
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 88
17.2%
- 85
16.6%
0 71
13.9%
7 60
11.7%
3 41
8.0%
4 38
7.4%
6 34
 
6.6%
1 30
 
5.9%
5 26
 
5.1%
9 22
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

소재지우편번호
Text

MISSING 

Distinct17
Distinct (%)73.9%
Missing24
Missing (%)51.1%
Memory size508.0 B
2024-05-11T16:02:15.885458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1304348
Min length6

Characters and Unicode

Total characters141
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

Unique15 ?
Unique (%)65.2%

Sample

1st row110360
2nd row110123
3rd row110111
4th row110123
5th row110430
ValueCountFrequency (%)
110123 5
21.7%
110430 3
13.0%
110803 1
 
4.3%
110-807 1
 
4.3%
110-123 1
 
4.3%
110-836 1
 
4.3%
110750 1
 
4.3%
110835 1
 
4.3%
110122 1
 
4.3%
110360 1
 
4.3%
Other values (7) 7
30.4%
2024-05-11T16:02:16.308506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 57
40.4%
0 32
22.7%
3 14
 
9.9%
2 11
 
7.8%
8 6
 
4.3%
7 6
 
4.3%
4 4
 
2.8%
5 4
 
2.8%
6 3
 
2.1%
- 3
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
97.9%
Dash Punctuation 3
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 57
41.3%
0 32
23.2%
3 14
 
10.1%
2 11
 
8.0%
8 6
 
4.3%
7 6
 
4.3%
4 4
 
2.9%
5 4
 
2.9%
6 3
 
2.2%
9 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 141
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 57
40.4%
0 32
22.7%
3 14
 
9.9%
2 11
 
7.8%
8 6
 
4.3%
7 6
 
4.3%
4 4
 
2.8%
5 4
 
2.8%
6 3
 
2.1%
- 3
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 57
40.4%
0 32
22.7%
3 14
 
9.9%
2 11
 
7.8%
8 6
 
4.3%
7 6
 
4.3%
4 4
 
2.8%
5 4
 
2.8%
6 3
 
2.1%
- 3
 
2.1%

지번주소
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing4
Missing (%)8.5%
Memory size508.0 B
2024-05-11T16:02:16.655783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length26.511628
Min length19

Characters and Unicode

Total characters1140
Distinct characters90
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

Unique43 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 종로6가 79-1
2nd row서울특별시 종로구 원남동 66-21 보령빌딩
3rd row서울특별시 종로구 와룡동 139번지 이화빌딩 5층
4th row서울특별시 종로구 종로3가 157번지 영광빌딩 203호
5th row서울특별시 종로구 관철동 43번지 1호 동화빌딩 3층
ValueCountFrequency (%)
서울특별시 43
 
17.6%
종로구 43
 
17.6%
종로3가 10
 
4.1%
1호 5
 
2.0%
종로5가 4
 
1.6%
3층 4
 
1.6%
1번지 3
 
1.2%
인사동 3
 
1.2%
종로2가 3
 
1.2%
1층 3
 
1.2%
Other values (101) 123
50.4%
2024-05-11T16:02:17.218988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
17.7%
로 64
 
5.6%
종 62
 
5.4%
1 59
 
5.2%
시 45
 
3.9%
서 44
 
3.9%
구 44
 
3.9%
울 44
 
3.9%
특 43
 
3.8%
별 43
 
3.8%
Other values (80) 490
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 697
61.1%
Decimal Number 225
 
19.7%
Space Separator 202
 
17.7%
Dash Punctuation 6
 
0.5%
Uppercase Letter 5
 
0.4%
Lowercase Letter 4
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 64
 
9.2%
종 62
 
8.9%
시 45
 
6.5%
서 44
 
6.3%
구 44
 
6.3%
울 44
 
6.3%
특 43
 
6.2%
별 43
 
6.2%
번 33
 
4.7%
지 33
 
4.7%
Other values (58) 242
34.7%
Decimal Number
ValueCountFrequency (%)
1 59
26.2%
3 30
13.3%
2 27
12.0%
4 25
11.1%
0 22
 
9.8%
9 17
 
7.6%
6 16
 
7.1%
5 12
 
5.3%
7 11
 
4.9%
8 6
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
C 1
20.0%
A 1
20.0%
T 1
20.0%
Y 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Space Separator
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 697
61.1%
Common 434
38.1%
Latin 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 64
 
9.2%
종 62
 
8.9%
시 45
 
6.5%
서 44
 
6.3%
구 44
 
6.3%
울 44
 
6.3%
특 43
 
6.2%
별 43
 
6.2%
번 33
 
4.7%
지 33
 
4.7%
Other values (58) 242
34.7%
Common
ValueCountFrequency (%)
202
46.5%
1 59
 
13.6%
3 30
 
6.9%
2 27
 
6.2%
4 25
 
5.8%
0 22
 
5.1%
9 17
 
3.9%
6 16
 
3.7%
5 12
 
2.8%
7 11
 
2.5%
Other values (3) 13
 
3.0%
Latin
ValueCountFrequency (%)
M 1
11.1%
C 1
11.1%
r 1
11.1%
e 1
11.1%
w 1
11.1%
A 1
11.1%
o 1
11.1%
T 1
11.1%
Y 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 697
61.1%
ASCII 443
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
45.6%
1 59
 
13.3%
3 30
 
6.8%
2 27
 
6.1%
4 25
 
5.6%
0 22
 
5.0%
9 17
 
3.8%
6 16
 
3.6%
5 12
 
2.7%
7 11
 
2.5%
Other values (12) 22
 
5.0%
Hangul
ValueCountFrequency (%)
로 64
 
9.2%
종 62
 
8.9%
시 45
 
6.5%
서 44
 
6.3%
구 44
 
6.3%
울 44
 
6.3%
특 43
 
6.2%
별 43
 
6.2%
번 33
 
4.7%
지 33
 
4.7%
Other values (58) 242
34.7%

도로명주소
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T16:02:17.555052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length32.914894
Min length23

Characters and Unicode

Total characters1547
Distinct characters123
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 종로 275, 1,2층 (종로6가)
2nd row서울특별시 종로구 창경궁로 136, 보령빌딩 (원남동)
3rd row서울특별시 종로구 돈화문로 89 (와룡동,이화빌딩 5층)
4th row서울특별시 종로구 종로 144-3, 203호 (종로3가,영광빌딩)
5th row서울특별시 종로구 종로8길 13 (관철동,동화빌딩 3층)
ValueCountFrequency (%)
서울특별시 47
 
15.6%
종로구 47
 
15.6%
종로 17
 
5.6%
종로3가 9
 
3.0%
3층 7
 
2.3%
2층 4
 
1.3%
201호 4
 
1.3%
창경궁로 4
 
1.3%
29 4
 
1.3%
종로5가 4
 
1.3%
Other values (120) 155
51.3%
2024-05-11T16:02:18.032978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
 
16.5%
로 114
 
7.4%
종 90
 
5.8%
1 57
 
3.7%
, 57
 
3.7%
서 50
 
3.2%
3 50
 
3.2%
시 49
 
3.2%
) 48
 
3.1%
( 48
 
3.1%
Other values (113) 729
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 845
54.6%
Decimal Number 272
 
17.6%
Space Separator 255
 
16.5%
Other Punctuation 57
 
3.7%
Close Punctuation 48
 
3.1%
Open Punctuation 48
 
3.1%
Lowercase Letter 14
 
0.9%
Uppercase Letter 5
 
0.3%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 114
 
13.5%
종 90
 
10.7%
서 50
 
5.9%
시 49
 
5.8%
울 48
 
5.7%
구 48
 
5.7%
별 47
 
5.6%
특 47
 
5.6%
동 27
 
3.2%
가 25
 
3.0%
Other values (84) 300
35.5%
Decimal Number
ValueCountFrequency (%)
1 57
21.0%
3 50
18.4%
2 43
15.8%
0 27
9.9%
5 24
8.8%
4 22
 
8.1%
6 19
 
7.0%
9 15
 
5.5%
7 8
 
2.9%
8 7
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
o 3
21.4%
r 2
14.3%
c 2
14.3%
n 2
14.3%
i 1
 
7.1%
d 1
 
7.1%
e 1
 
7.1%
w 1
 
7.1%
a 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
Y 1
20.0%
M 1
20.0%
C 1
20.0%
A 1
20.0%
T 1
20.0%
Space Separator
ValueCountFrequency (%)
255
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 845
54.6%
Common 683
44.1%
Latin 19
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 114
 
13.5%
종 90
 
10.7%
서 50
 
5.9%
시 49
 
5.8%
울 48
 
5.7%
구 48
 
5.7%
별 47
 
5.6%
특 47
 
5.6%
동 27
 
3.2%
가 25
 
3.0%
Other values (84) 300
35.5%
Common
ValueCountFrequency (%)
255
37.3%
1 57
 
8.3%
, 57
 
8.3%
3 50
 
7.3%
) 48
 
7.0%
( 48
 
7.0%
2 43
 
6.3%
0 27
 
4.0%
5 24
 
3.5%
4 22
 
3.2%
Other values (5) 52
 
7.6%
Latin
ValueCountFrequency (%)
o 3
15.8%
r 2
10.5%
c 2
10.5%
n 2
10.5%
i 1
 
5.3%
d 1
 
5.3%
Y 1
 
5.3%
M 1
 
5.3%
C 1
 
5.3%
A 1
 
5.3%
Other values (4) 4
21.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 845
54.6%
ASCII 702
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
255
36.3%
1 57
 
8.1%
, 57
 
8.1%
3 50
 
7.1%
) 48
 
6.8%
( 48
 
6.8%
2 43
 
6.1%
0 27
 
3.8%
5 24
 
3.4%
4 22
 
3.1%
Other values (19) 71
 
10.1%
Hangul
ValueCountFrequency (%)
로 114
 
13.5%
종 90
 
10.7%
서 50
 
5.9%
시 49
 
5.8%
울 48
 
5.7%
구 48
 
5.7%
별 47
 
5.6%
특 47
 
5.6%
동 27
 
3.2%
가 25
 
3.0%
Other values (84) 300
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)54.5%
Missing14
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean3156.8182
Minimum3073
Maximum3196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T16:02:18.227339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3073
5-th percentile3116
Q13127
median3162
Q33190
95-th percentile3193
Maximum3196
Range123
Interquartile range (IQR)63

Descriptive statistics

Standard deviation33.021257
Coefficient of variation (CV)0.010460297
Kurtosis-0.66905701
Mean3156.8182
Median Absolute Deviation (MAD)31
Skewness-0.44144446
Sum104175
Variance1090.4034
MonotonicityNot monotonic
2024-05-11T16:02:18.426238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3193 7
14.9%
3116 3
 
6.4%
3162 3
 
6.4%
3126 2
 
4.3%
3127 2
 
4.3%
3157 2
 
4.3%
3139 2
 
4.3%
3186 2
 
4.3%
3190 1
 
2.1%
3196 1
 
2.1%
Other values (8) 8
17.0%
(Missing) 14
29.8%
ValueCountFrequency (%)
3073 1
 
2.1%
3116 3
6.4%
3123 1
 
2.1%
3124 1
 
2.1%
3126 2
4.3%
3127 2
4.3%
3129 1
 
2.1%
3139 2
4.3%
3147 1
 
2.1%
3157 2
4.3%
ValueCountFrequency (%)
3196 1
 
2.1%
3193 7
14.9%
3190 1
 
2.1%
3189 1
 
2.1%
3186 2
 
4.3%
3185 1
 
2.1%
3164 1
 
2.1%
3162 3
6.4%
3157 2
 
4.3%
3147 1
 
2.1%

사업장명
Text

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T16:02:18.682003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length9.1489362
Min length4

Characters and Unicode

Total characters430
Distinct characters120
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)93.6%

Sample

1st row(주)통일의료기
2nd row주식회사 보령
3rd row로벨코리아(주)
4th row에프엠메디칼
5th row청음보청기
ValueCountFrequency (%)
주식회사 11
 
16.4%
청음보청기 3
 
4.5%
종로점 3
 
4.5%
복음보청기 2
 
3.0%
한국보청기 2
 
3.0%
주)에스케이엠엔엠 1
 
1.5%
골드메디컬 1
 
1.5%
태현메드 1
 
1.5%
헬프히어링 1
 
1.5%
히어코리아 1
 
1.5%
Other values (41) 41
61.2%
2024-05-11T16:02:19.167634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
6.0%
청 22
 
5.1%
기 21
 
4.9%
보 20
 
4.7%
20
 
4.7%
( 15
 
3.5%
) 15
 
3.5%
사 14
 
3.3%
이 13
 
3.0%
스 12
 
2.8%
Other values (110) 252
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 378
87.9%
Space Separator 20
 
4.7%
Open Punctuation 15
 
3.5%
Close Punctuation 15
 
3.5%
Decimal Number 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
6.9%
청 22
 
5.8%
기 21
 
5.6%
보 20
 
5.3%
사 14
 
3.7%
이 13
 
3.4%
스 12
 
3.2%
회 12
 
3.2%
식 11
 
2.9%
리 9
 
2.4%
Other values (105) 218
57.7%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 378
87.9%
Common 52
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
6.9%
청 22
 
5.8%
기 21
 
5.6%
보 20
 
5.3%
사 14
 
3.7%
이 13
 
3.4%
스 12
 
3.2%
회 12
 
3.2%
식 11
 
2.9%
리 9
 
2.4%
Other values (105) 218
57.7%
Common
ValueCountFrequency (%)
20
38.5%
( 15
28.8%
) 15
28.8%
2 1
 
1.9%
- 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 378
87.9%
ASCII 52
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
6.9%
청 22
 
5.8%
기 21
 
5.6%
보 20
 
5.3%
사 14
 
3.7%
이 13
 
3.4%
스 12
 
3.2%
회 12
 
3.2%
식 11
 
2.9%
리 9
 
2.4%
Other values (105) 218
57.7%
ASCII
ValueCountFrequency (%)
20
38.5%
( 15
28.8%
) 15
28.8%
2 1
 
1.9%
- 1
 
1.9%

최종수정일자
Date

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2011-09-09 09:42:43
Maximum2024-04-12 10:40:50
2024-05-11T16:02:19.359741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:19.839249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
I
28 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 28
59.6%
U 19
40.4%

Length

2024-05-11T16:02:20.024507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:20.135581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 28
59.6%
u 19
40.4%

데이터갱신일자
Date

Distinct31
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2019-11-20 00:23:19
Maximum2023-12-03 23:04:00
2024-05-11T16:02:20.256775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:20.459730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)82.6%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean199192.51
Minimum196092.74
Maximum201962.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T16:02:20.650129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196092.74
5-th percentile197596.8
Q1198602.15
median199294.61
Q3199749.71
95-th percentile200562.92
Maximum201962.63
Range5869.8851
Interquartile range (IQR)1147.5621

Descriptive statistics

Standard deviation1059.199
Coefficient of variation (CV)0.0053174641
Kurtosis1.9514527
Mean199192.51
Median Absolute Deviation (MAD)582.88861
Skewness-0.086394504
Sum9162855.3
Variance1121902.5
MonotonicityNot monotonic
2024-05-11T16:02:20.822951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
199321.4036677 3
 
6.4%
198592.597470985 3
 
6.4%
199749.709303956 2
 
4.3%
198525.851210964 2
 
4.3%
197713.264872835 2
 
4.3%
199297.760920817 2
 
4.3%
201962.62904341 1
 
2.1%
200181.146934518 1
 
2.1%
199307.340336919 1
 
2.1%
198213.955223154 1
 
2.1%
Other values (28) 28
59.6%
ValueCountFrequency (%)
196092.743907822 1
 
2.1%
197015.708191944 1
 
2.1%
197557.974849131 1
 
2.1%
197713.264872835 2
4.3%
198207.279003982 1
 
2.1%
198213.955223154 1
 
2.1%
198525.851210964 2
4.3%
198592.597470985 3
6.4%
198630.79627088 1
 
2.1%
198655.850411192 1
 
2.1%
ValueCountFrequency (%)
201962.62904341 1
2.1%
201882.733697042 1
2.1%
200683.347665068 1
2.1%
200201.634083351 1
2.1%
200181.146934518 1
2.1%
200150.896125412 1
2.1%
200133.776191654 1
2.1%
200123.437670579 1
2.1%
199993.071594105 1
2.1%
199821.627625442 1
2.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)82.6%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean452363.82
Minimum451899.75
Maximum456198.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T16:02:20.992352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451899.75
5-th percentile451916.78
Q1451985.65
median452049.4
Q3452365.02
95-th percentile453564.04
Maximum456198.6
Range4298.8478
Interquartile range (IQR)379.374

Descriptive statistics

Standard deviation779.76167
Coefficient of variation (CV)0.001723749
Kurtosis13.053855
Mean452363.82
Median Absolute Deviation (MAD)98.626388
Skewness3.3027628
Sum20808736
Variance608028.26
MonotonicityNot monotonic
2024-05-11T16:02:21.178068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
451985.646550196 3
 
6.4%
452190.992738652 3
 
6.4%
452471.681673191 2
 
4.3%
451909.692402004 2
 
4.3%
451938.037709964 2
 
4.3%
451990.209151371 2
 
4.3%
452377.405128643 1
 
2.1%
452053.510196786 1
 
2.1%
451991.157028236 1
 
2.1%
452045.296742706 1
 
2.1%
Other values (28) 28
59.6%
ValueCountFrequency (%)
451899.748095471 1
 
2.1%
451909.692402004 2
4.3%
451938.037709964 2
4.3%
451938.115260325 1
 
2.1%
451963.438902233 1
 
2.1%
451967.67305784 1
 
2.1%
451967.893318129 1
 
2.1%
451982.41963839 1
 
2.1%
451985.646550196 3
6.4%
451988.344564027 1
 
2.1%
ValueCountFrequency (%)
456198.595931715 1
2.1%
454310.699049879 1
2.1%
453620.901826019 1
2.1%
453393.463379039 1
2.1%
453360.147414481 1
2.1%
453357.294678965 1
2.1%
452680.037953364 1
2.1%
452669.099035028 1
2.1%
452583.9318839 1
2.1%
452471.681673191 2
4.3%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03000000PHMG32005300003404740000120050624<NA>1영업/정상13영업중<NA><NA><NA><NA>02-741-1461<NA><NA>서울특별시 종로구 종로6가 79-1서울특별시 종로구 종로 275, 1,2층 (종로6가)3124(주)통일의료기2021-09-24 10:29:12U2021-09-26 02:40:00.0<NA>200683.347665452121.20413<NA><NA><NA><NA>
13000000PHMG32005300003404740000220050516<NA>1영업/정상13영업중<NA><NA><NA><NA>02-708-8137<NA><NA>서울특별시 종로구 원남동 66-21 보령빌딩서울특별시 종로구 창경궁로 136, 보령빌딩 (원남동)3127주식회사 보령2022-04-29 15:23:09U2021-12-05 00:03:00.0<NA>199749.709304452471.681673<NA><NA><NA><NA>
23000000PHMG32005300003404740000320050518<NA>3폐업3폐업20221018<NA><NA><NA>02-765-5998<NA>110360서울특별시 종로구 와룡동 139번지 이화빌딩 5층서울특별시 종로구 돈화문로 89 (와룡동,이화빌딩 5층)<NA>로벨코리아(주)2022-10-19 09:40:08U2021-10-30 22:01:00.0<NA>199062.792121452680.037953<NA><NA><NA><NA>
33000000PHMG32005300003404740000420050525<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2279-5866<NA>110123서울특별시 종로구 종로3가 157번지 영광빌딩 203호서울특별시 종로구 종로 144-3, 203호 (종로3가,영광빌딩)<NA>에프엠메디칼2011-09-09 10:32:16I2020-09-16 00:23:12.0<NA>199377.669055451982.419638<NA><NA><NA><NA>
43000000PHMG32005300003404740000520050607<NA>3폐업3폐업20180501<NA><NA><NA>02-737-5460<NA>110111서울특별시 종로구 관철동 43번지 1호 동화빌딩 3층서울특별시 종로구 종로8길 13 (관철동,동화빌딩 3층)<NA>청음보청기2018-05-01 11:19:04I2020-09-16 00:23:12.0<NA>198525.851211451909.692402<NA><NA><NA><NA>
53000000PHMG32005300003404740000620050618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2269-9911<NA>110123서울특별시 종로구 종로3가 139번지 203호서울특별시 종로구 종로 134 (종로3가)3193소리샘보청기 종로점2014-03-04 14:04:08I2020-09-16 00:23:12.0<NA>199266.459336451989.401817<NA><NA><NA><NA>
63000000PHMG32005300003404740000720050620<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3276-2400<NA><NA>서울특별시 종로구 신문로1가 163 광화문오피시아빌딩 906호서울특별시 종로구 새문안로 92, 광화문오피시아빌딩 906호 (신문로1가)3186(주)자이스텍2020-09-08 14:23:27I2020-09-10 00:23:12.0<NA>197713.264873451938.03771<NA><NA><NA><NA>
73000000PHMG32005300003404740000820050620<NA>3폐업3폐업20150508<NA><NA><NA>02-2279-6949<NA>110430서울특별시 종로구 장사동 42번지 1층서울특별시 종로구 돈화문로2길 5 (장사동,1층)<NA>신영정밀2015-05-08 16:12:01I2020-09-16 00:23:12.0<NA>199291.455031451899.748095<NA><NA><NA><NA>
83000000PHMG32005300003404740000920050627<NA>1영업/정상13영업중<NA><NA><NA><NA>02-743-0781<NA>110809서울특별시 종로구 동숭동 1번지 31호서울특별시 종로구 대학로12길 4 (동숭동)<NA>우삼의료기(주)2011-09-09 13:47:46I2020-09-16 00:23:12.0<NA>200123.437671453357.294679<NA><NA><NA><NA>
93000000PHMG32005300003404740001020050808<NA>3폐업3폐업20160801<NA><NA><NA>02-735-2435<NA>110032서울특별시 종로구 신교동 1번지 28호서울특별시 종로구 필운대로13길 14 (신교동)<NA>명진과학2016-08-01 16:38:02I2020-09-16 00:23:12.0<NA>197015.708192453620.901826<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
373000000PHMG32018300003404740000220181106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2003-8441<NA><NA>서울특별시 종로구 인사동 194-27 태화빌딩서울특별시 종로구 인사동5길 29, 태화빌딩 3층 (인사동)3162에이치디엑스서비스 주식회사2022-10-12 14:25:57U2021-10-30 23:04:00.0<NA>198592.597471452190.992739<NA><NA><NA><NA>
383000000PHMG32019300003404740000120190109<NA>1영업/정상13영업중<NA><NA><NA><NA>02-533-8034<NA><NA>서울특별시 종로구 종로3가 143번지 히어링빌딩 1층서울특별시 종로구 종로 136-1, 히어링빌딩 1층 (종로3가)3193(주)동산히어링 복음보청기종로제2지점2021-05-10 15:54:48U2021-05-12 02:40:00.0<NA>199289.140398451988.344564<NA><NA><NA><NA>
393000000PHMG3201930000340474000022019-08-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-737-5460<NA><NA>서울특별시 종로구 종로2가 9 서울 YMCA 4층 420호서울특별시 종로구 종로 69, 서울 YMCA 4층 420호 (종로2가)3164청음보청기2023-08-29 17:51:29U2022-12-07 21:01:00.0<NA>198630.796271452035.412647<NA><NA><NA><NA>
403000000PHMG32019300003404740000320191119<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2135-8511<NA><NA>서울특별시 종로구 청진동 136번지 삼공빌딩서울특별시 종로구 종로5길 13, 삼공빌딩 10층 (청진동)3157주식회사 한마음보청기2019-12-30 14:18:31U2020-01-01 02:40:00.0<NA>198207.279004452082.344196<NA><NA><NA><NA>
413000000PHMG32022300003404740000120220722<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6339-7977<NA><NA>서울특별시 종로구 종로5가 98 금원빌딩 201호서울특별시 종로구 종로 207, 금원빌딩 2층 201호 (종로5가)3129딜라이트 보청기2022-07-29 15:15:22I2021-12-06 21:01:00.0<NA>199993.071594452126.285694<NA><NA><NA><NA>
423000000PHMG32022300003404740000220221125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-742-6161<NA><NA>서울특별시 종로구 이화동 222-1 경실빌딩서울특별시 종로구 율곡로14길 11, 경실빌딩 3층 (이화동)3123(주)파프리카랩2022-11-29 16:54:59I2021-11-02 00:01:00.0<NA>200201.634083452583.931884<NA><NA><NA><NA>
433000000PHMG3202330000340474000012023-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2274-3755<NA><NA>서울특별시 종로구 종로3가 144-1서울특별시 종로구 종로 138, 2층 201호 (종로3가)3193한국보청기2023-02-24 10:13:05I2022-12-01 22:06:00.0<NA>199297.760921451990.209151<NA><NA><NA><NA>
443000000PHMG3202330000340474000022023-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3141-5741<NA><NA><NA>서울특별시 종로구 난계로 247, 서진빌딩 303호 (숭인동)3116(주) 메디기어트러스트2023-03-09 15:05:05I2022-12-02 23:01:00.0<NA><NA><NA><NA><NA><NA><NA>
453000000PHMG3202330000340474000032023-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-747-2004<NA><NA><NA>서울특별시 종로구 창경궁로 233, 혜화진단방사선과의원 5층 (명륜4가)3073주식회사 골드메디컬2023-08-18 17:03:19I2022-12-07 22:00:00.0<NA>199775.680077453393.463379<NA><NA><NA><NA>
463000000PHMG3202330000340474000042023-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA>0262713321<NA><NA><NA>서울특별시 종로구 새문안로 76, 콘코디언(concordian) 3층 (신문로1가)3185인테그라라이프사이언시스코리아유한회사2024-04-12 10:40:50U2023-12-03 23:04:00.0<NA>197557.974849451938.11526<NA><NA><NA><NA>