Overview

Dataset statistics

Number of variables29
Number of observations25
Missing cells286
Missing cells (%)39.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory253.3 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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16426/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 25 (100.0%) missing valuesMissing
폐업일자 has 15 (60.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
전화번호 has 8 (32.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
소재지우편번호 has 11 (44.0%) missing valuesMissing
도로명우편번호 has 2 (8.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
수리대상 의료기기의 유형 has 25 (100.0%) missing valuesMissing
다른 겸업 여부 has 25 (100.0%) missing valuesMissing
총규모 has 25 (100.0%) missing valuesMissing
영업규모 has 25 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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 08:08:30.052634
Analysis finished2024-05-11 08:08:30.392202
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3200000
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 25
100.0%

Length

2024-05-11T17:08:30.449349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:08:30.534107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 25
100.0%

관리번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T17:08:30.704559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters625
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowPHMG320043200033047400001
2nd rowPHMG320063200033047400001
3rd rowPHMG320093200033047400001
4th rowPHMG320113200033047400001
5th rowPHMG320113200033047400002
ValueCountFrequency (%)
phmg320043200033047400001 1
 
4.0%
phmg320153200033047400001 1
 
4.0%
phmg320233200033047400001 1
 
4.0%
phmg320213200033047400001 1
 
4.0%
phmg320193200033047400002 1
 
4.0%
phmg320193200033047400001 1
 
4.0%
phmg320183200033047400001 1
 
4.0%
phmg320153200033047400006 1
 
4.0%
phmg320153200033047400005 1
 
4.0%
phmg320153200033047400004 1
 
4.0%
Other values (15) 15
60.0%
2024-05-11T17:08:31.029730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 228
36.5%
3 106
17.0%
2 61
 
9.8%
4 54
 
8.6%
1 37
 
5.9%
P 25
 
4.0%
H 25
 
4.0%
M 25
 
4.0%
G 25
 
4.0%
7 25
 
4.0%
Other values (4) 14
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 525
84.0%
Uppercase Letter 100
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 228
43.4%
3 106
20.2%
2 61
 
11.6%
4 54
 
10.3%
1 37
 
7.0%
7 25
 
4.8%
5 8
 
1.5%
9 3
 
0.6%
6 2
 
0.4%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 25
25.0%
H 25
25.0%
M 25
25.0%
G 25
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 525
84.0%
Latin 100
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 228
43.4%
3 106
20.2%
2 61
 
11.6%
4 54
 
10.3%
1 37
 
7.0%
7 25
 
4.8%
5 8
 
1.5%
9 3
 
0.6%
6 2
 
0.4%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
P 25
25.0%
H 25
25.0%
M 25
25.0%
G 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 228
36.5%
3 106
17.0%
2 61
 
9.8%
4 54
 
8.6%
1 37
 
5.9%
P 25
 
4.0%
H 25
 
4.0%
M 25
 
4.0%
G 25
 
4.0%
7 25
 
4.0%
Other values (4) 14
 
2.2%

인허가일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2004-11-30 00:00:00
Maximum2023-08-03 00:00:00
2024-05-11T17:08:31.159947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:08:31.276512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
13 
3
10 
5
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 13
52.0%
3 10
40.0%
5 2
 
8.0%

Length

2024-05-11T17:08:31.387441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:08:31.487540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
52.0%
3 10
40.0%
5 2
 
8.0%

영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
13 
폐업
10 
제외/삭제/전출
2 

Length

Max length8
Median length5
Mean length4.04
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 13
52.0%
폐업 10
40.0%
제외/삭제/전출 2
 
8.0%

Length

2024-05-11T17:08:31.583524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:08:31.674727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 13
52.0%
폐업 10
40.0%
제외/삭제/전출 2
 
8.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
13
13 
3
9 
15
2 
24
 
1

Length

Max length2
Median length2
Mean length1.64
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 13
52.0%
3 9
36.0%
15 2
 
8.0%
24 1
 
4.0%

Length

2024-05-11T17:08:31.776634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:08:31.874025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 13
52.0%
3 9
36.0%
15 2
 
8.0%
24 1
 
4.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
13 
폐업
9 
전출
2 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.6
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 13
52.0%
폐업 9
36.0%
전출 2
 
8.0%
직권폐업 1
 
4.0%

Length

2024-05-11T17:08:31.986318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:08:32.106701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 13
52.0%
폐업 9
36.0%
전출 2
 
8.0%
직권폐업 1
 
4.0%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing15
Missing (%)60.0%
Memory size332.0 B
Minimum2012-01-09 00:00:00
Maximum2023-03-28 00:00:00
2024-05-11T17:08:32.186315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:08:32.282501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)94.1%
Missing8
Missing (%)32.0%
Memory size332.0 B
2024-05-11T17:08:32.470695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.8823529
Min length8

Characters and Unicode

Total characters151
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 (%)88.2%

Sample

1st row882-0061
2nd row816-4833
3rd row887-1852
4th row883-6360
5th row1661-1841
ValueCountFrequency (%)
868-2552 2
 
11.8%
883-5992 1
 
5.9%
816-4833 1
 
5.9%
887-1852 1
 
5.9%
883-6360 1
 
5.9%
1661-1841 1
 
5.9%
889-9076 1
 
5.9%
884-1911 1
 
5.9%
02-883-6360 1
 
5.9%
02-878-1222 1
 
5.9%
Other values (6) 6
35.3%
2024-05-11T17:08:32.782206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 31
20.5%
- 21
13.9%
2 18
11.9%
1 14
9.3%
0 14
9.3%
3 12
 
7.9%
6 11
 
7.3%
7 9
 
6.0%
5 8
 
5.3%
4 7
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
86.1%
Dash Punctuation 21
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 31
23.8%
2 18
13.8%
1 14
10.8%
0 14
10.8%
3 12
 
9.2%
6 11
 
8.5%
7 9
 
6.9%
5 8
 
6.2%
4 7
 
5.4%
9 6
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 31
20.5%
- 21
13.9%
2 18
11.9%
1 14
9.3%
0 14
9.3%
3 12
 
7.9%
6 11
 
7.3%
7 9
 
6.0%
5 8
 
5.3%
4 7
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 31
20.5%
- 21
13.9%
2 18
11.9%
1 14
9.3%
0 14
9.3%
3 12
 
7.9%
6 11
 
7.3%
7 9
 
6.0%
5 8
 
5.3%
4 7
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지우편번호
Text

MISSING 

Distinct12
Distinct (%)85.7%
Missing11
Missing (%)44.0%
Memory size332.0 B
2024-05-11T17:08:32.926184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2142857
Min length6

Characters and Unicode

Total characters87
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

Unique11 ?
Unique (%)78.6%

Sample

1st row151015
2nd row151830
3rd row151793
4th row151843
5th row151-821
ValueCountFrequency (%)
151830 3
21.4%
151015 1
 
7.1%
151793 1
 
7.1%
151843 1
 
7.1%
151-821 1
 
7.1%
151852 1
 
7.1%
151900 1
 
7.1%
151901 1
 
7.1%
151826 1
 
7.1%
151-827 1
 
7.1%
Other values (2) 2
14.3%
2024-05-11T17:08:33.181191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 33
37.9%
5 16
18.4%
8 10
 
11.5%
0 7
 
8.0%
3 6
 
6.9%
2 4
 
4.6%
9 3
 
3.4%
- 3
 
3.4%
7 2
 
2.3%
4 2
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84
96.6%
Dash Punctuation 3
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
39.3%
5 16
19.0%
8 10
 
11.9%
0 7
 
8.3%
3 6
 
7.1%
2 4
 
4.8%
9 3
 
3.6%
7 2
 
2.4%
4 2
 
2.4%
6 1
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 33
37.9%
5 16
18.4%
8 10
 
11.5%
0 7
 
8.0%
3 6
 
6.9%
2 4
 
4.6%
9 3
 
3.4%
- 3
 
3.4%
7 2
 
2.3%
4 2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 33
37.9%
5 16
18.4%
8 10
 
11.5%
0 7
 
8.0%
3 6
 
6.9%
2 4
 
4.6%
9 3
 
3.4%
- 3
 
3.4%
7 2
 
2.3%
4 2
 
2.3%

지번주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T17:08:33.381163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length27.92
Min length20

Characters and Unicode

Total characters698
Distinct characters77
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row서울특별시 관악구 신림동 1417번지 50호 5층
2nd row서울특별시 관악구 보라매동 729번지 24호 그린캐릭터빌 1213호
3rd row서울특별시 관악구 삼성동 1704번지 1호 주공1차아파트 관리소 2층
4th row서울특별시 관악구 봉천동 893번지 21호
5th row서울특별시 관악구 은천동 902번지 18호 1층
ValueCountFrequency (%)
서울특별시 25
17.2%
관악구 25
17.2%
봉천동 10
 
6.9%
신림동 6
 
4.1%
1층 5
 
3.4%
18호 3
 
2.1%
24호 3
 
2.1%
보라매동 3
 
2.1%
729번지 3
 
2.1%
15호 2
 
1.4%
Other values (53) 60
41.4%
2024-05-11T17:08:33.707067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
17.2%
1 40
 
5.7%
호 28
 
4.0%
관 27
 
3.9%
서 26
 
3.7%
악 26
 
3.7%
동 26
 
3.7%
특 25
 
3.6%
별 25
 
3.6%
시 25
 
3.6%
Other values (67) 330
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
59.6%
Decimal Number 158
 
22.6%
Space Separator 120
 
17.2%
Dash Punctuation 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 28
 
6.7%
관 27
 
6.5%
서 26
 
6.2%
악 26
 
6.2%
동 26
 
6.2%
특 25
 
6.0%
별 25
 
6.0%
시 25
 
6.0%
구 25
 
6.0%
울 25
 
6.0%
Other values (54) 158
38.0%
Decimal Number
ValueCountFrequency (%)
1 40
25.3%
2 24
15.2%
9 14
 
8.9%
0 13
 
8.2%
7 13
 
8.2%
8 13
 
8.2%
5 12
 
7.6%
3 10
 
6.3%
6 10
 
6.3%
4 9
 
5.7%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
59.6%
Common 282
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 28
 
6.7%
관 27
 
6.5%
서 26
 
6.2%
악 26
 
6.2%
동 26
 
6.2%
특 25
 
6.0%
별 25
 
6.0%
시 25
 
6.0%
구 25
 
6.0%
울 25
 
6.0%
Other values (54) 158
38.0%
Common
ValueCountFrequency (%)
120
42.6%
1 40
 
14.2%
2 24
 
8.5%
9 14
 
5.0%
0 13
 
4.6%
7 13
 
4.6%
8 13
 
4.6%
5 12
 
4.3%
3 10
 
3.5%
6 10
 
3.5%
Other values (3) 13
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
59.6%
ASCII 282
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
42.6%
1 40
 
14.2%
2 24
 
8.5%
9 14
 
5.0%
0 13
 
4.6%
7 13
 
4.6%
8 13
 
4.6%
5 12
 
4.3%
3 10
 
3.5%
6 10
 
3.5%
Other values (3) 13
 
4.6%
Hangul
ValueCountFrequency (%)
호 28
 
6.7%
관 27
 
6.5%
서 26
 
6.2%
악 26
 
6.2%
동 26
 
6.2%
특 25
 
6.0%
별 25
 
6.0%
시 25
 
6.0%
구 25
 
6.0%
울 25
 
6.0%
Other values (54) 158
38.0%

도로명주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T17:08:33.930691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length31.92
Min length24

Characters and Unicode

Total characters798
Distinct characters91
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

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 봉천로14길 19, 5층 (신림동)
2nd row서울특별시 관악구 보라매로5가길 7, 1213호 (봉천동, 그린캐릭터빌)
3rd row서울특별시 관악구 광신길 160 (신림동,주공1차아파트 관리소 2층)
4th row서울특별시 관악구 양녕로 6, 401호 (봉천동)
5th row서울특별시 관악구 은천로 80 (봉천동,1층)
ValueCountFrequency (%)
서울특별시 25
 
15.6%
관악구 25
 
15.6%
봉천동 14
 
8.8%
신림동 8
 
5.0%
1층 7
 
4.4%
보라매로5가길 4
 
2.5%
7 4
 
2.5%
관악로 3
 
1.9%
남부순환로 3
 
1.9%
은천로 3
 
1.9%
Other values (54) 64
40.0%
2024-05-11T17:08:34.306171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
16.9%
1 40
 
5.0%
관 30
 
3.8%
, 29
 
3.6%
악 29
 
3.6%
동 27
 
3.4%
서 25
 
3.1%
( 25
 
3.1%
) 25
 
3.1%
울 25
 
3.1%
Other values (81) 408
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
57.6%
Space Separator 135
 
16.9%
Decimal Number 119
 
14.9%
Other Punctuation 29
 
3.6%
Open Punctuation 25
 
3.1%
Close Punctuation 25
 
3.1%
Dash Punctuation 3
 
0.4%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 30
 
6.5%
악 29
 
6.3%
동 27
 
5.9%
서 25
 
5.4%
울 25
 
5.4%
구 25
 
5.4%
시 25
 
5.4%
별 25
 
5.4%
특 25
 
5.4%
로 22
 
4.8%
Other values (64) 202
43.9%
Decimal Number
ValueCountFrequency (%)
1 40
33.6%
2 12
 
10.1%
5 11
 
9.2%
4 10
 
8.4%
8 9
 
7.6%
0 9
 
7.6%
9 7
 
5.9%
7 7
 
5.9%
3 7
 
5.9%
6 7
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
135
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
57.6%
Common 336
42.1%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 30
 
6.5%
악 29
 
6.3%
동 27
 
5.9%
서 25
 
5.4%
울 25
 
5.4%
구 25
 
5.4%
시 25
 
5.4%
별 25
 
5.4%
특 25
 
5.4%
로 22
 
4.8%
Other values (64) 202
43.9%
Common
ValueCountFrequency (%)
135
40.2%
1 40
 
11.9%
, 29
 
8.6%
( 25
 
7.4%
) 25
 
7.4%
2 12
 
3.6%
5 11
 
3.3%
4 10
 
3.0%
8 9
 
2.7%
0 9
 
2.7%
Other values (5) 31
 
9.2%
Latin
ValueCountFrequency (%)
E 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
57.6%
ASCII 338
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
39.9%
1 40
 
11.8%
, 29
 
8.6%
( 25
 
7.4%
) 25
 
7.4%
2 12
 
3.6%
5 11
 
3.3%
4 10
 
3.0%
8 9
 
2.7%
0 9
 
2.7%
Other values (7) 33
 
9.8%
Hangul
ValueCountFrequency (%)
관 30
 
6.5%
악 29
 
6.3%
동 27
 
5.9%
서 25
 
5.4%
울 25
 
5.4%
구 25
 
5.4%
시 25
 
5.4%
별 25
 
5.4%
특 25
 
5.4%
로 22
 
4.8%
Other values (64) 202
43.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)69.6%
Missing2
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean14972.435
Minimum8702
Maximum151830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T17:08:34.414232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8702
5-th percentile8708
Q18715
median8753
Q38777.5
95-th percentile8842
Maximum151830
Range143128
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation29833.929
Coefficient of variation (CV)1.9925903
Kurtosis22.999902
Mean14972.435
Median Absolute Deviation (MAD)37
Skewness4.7958168
Sum344366
Variance8.9006332 × 108
MonotonicityNot monotonic
2024-05-11T17:08:34.526444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
8708 3
12.0%
8716 2
 
8.0%
8842 2
 
8.0%
8762 2
 
8.0%
8745 2
 
8.0%
8758 2
 
8.0%
8775 1
 
4.0%
8780 1
 
4.0%
151830 1
 
4.0%
8714 1
 
4.0%
Other values (6) 6
24.0%
(Missing) 2
 
8.0%
ValueCountFrequency (%)
8702 1
 
4.0%
8708 3
12.0%
8710 1
 
4.0%
8714 1
 
4.0%
8716 2
8.0%
8737 1
 
4.0%
8745 2
8.0%
8753 1
 
4.0%
8758 2
8.0%
8762 2
8.0%
ValueCountFrequency (%)
151830 1
4.0%
8842 2
8.0%
8807 1
4.0%
8788 1
4.0%
8780 1
4.0%
8775 1
4.0%
8762 2
8.0%
8758 2
8.0%
8753 1
4.0%
8745 2
8.0%

사업장명
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T17:08:34.698691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length9.2
Min length3

Characters and Unicode

Total characters230
Distinct characters94
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

Unique23 ?
Unique (%)92.0%

Sample

1st row(주)유일기기
2nd row지엠티
3rd row사단법인 한국장애인정보화협회
4th row(주)관악시스템
5th row100세동안 관악점
ValueCountFrequency (%)
관악점 5
 
13.2%
주식회사 3
 
7.9%
스타키보청기 2
 
5.3%
주)유일기기 1
 
2.6%
위니아에이드관악점 1
 
2.6%
관악서비스센터 1
 
2.6%
엘지전자(주 1
 
2.6%
복지연구소 1
 
2.6%
메디스윕서비스(주 1
 
2.6%
오로라보청기 1
 
2.6%
Other values (21) 21
55.3%
2024-05-11T17:08:34.999566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
5.7%
스 11
 
4.8%
주 11
 
4.8%
관 8
 
3.5%
) 8
 
3.5%
점 8
 
3.5%
악 8
 
3.5%
( 8
 
3.5%
기 8
 
3.5%
지 6
 
2.6%
Other values (84) 141
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
82.6%
Space Separator 13
 
5.7%
Close Punctuation 8
 
3.5%
Open Punctuation 8
 
3.5%
Decimal Number 6
 
2.6%
Uppercase Letter 5
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 11
 
5.8%
주 11
 
5.8%
관 8
 
4.2%
점 8
 
4.2%
악 8
 
4.2%
기 8
 
4.2%
지 6
 
3.2%
보 6
 
3.2%
청 5
 
2.6%
회 4
 
2.1%
Other values (74) 115
60.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
H 1
20.0%
B 1
20.0%
I 1
20.0%
O 1
20.0%
Decimal Number
ValueCountFrequency (%)
0 4
66.7%
1 2
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
82.6%
Common 35
 
15.2%
Latin 5
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 11
 
5.8%
주 11
 
5.8%
관 8
 
4.2%
점 8
 
4.2%
악 8
 
4.2%
기 8
 
4.2%
지 6
 
3.2%
보 6
 
3.2%
청 5
 
2.6%
회 4
 
2.1%
Other values (74) 115
60.5%
Common
ValueCountFrequency (%)
13
37.1%
) 8
22.9%
( 8
22.9%
0 4
 
11.4%
1 2
 
5.7%
Latin
ValueCountFrequency (%)
T 1
20.0%
H 1
20.0%
B 1
20.0%
I 1
20.0%
O 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
82.6%
ASCII 40
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
32.5%
) 8
20.0%
( 8
20.0%
0 4
 
10.0%
1 2
 
5.0%
T 1
 
2.5%
H 1
 
2.5%
B 1
 
2.5%
I 1
 
2.5%
O 1
 
2.5%
Hangul
ValueCountFrequency (%)
스 11
 
5.8%
주 11
 
5.8%
관 8
 
4.2%
점 8
 
4.2%
악 8
 
4.2%
기 8
 
4.2%
지 6
 
3.2%
보 6
 
3.2%
청 5
 
2.6%
회 4
 
2.1%
Other values (74) 115
60.5%

최종수정일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2012-01-09 13:41:19
Maximum2024-05-02 16:21:38
2024-05-11T17:08:35.126268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:08:35.238321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
I
15 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 15
60.0%
U 10
40.0%

Length

2024-05-11T17:08:35.358993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:08:35.452903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 15
60.0%
u 10
40.0%

데이터갱신일자
Date

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-10-11 15:46:28
Maximum2023-12-05 00:04:00
2024-05-11T17:08:35.535391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:08:35.665026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194369.23
Minimum192523.43
Maximum198284.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T17:08:35.789223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192523.43
5-th percentile192722.19
Q1193335.4
median193802.53
Q3195226.75
95-th percentile195860.14
Maximum198284.08
Range5760.6444
Interquartile range (IQR)1891.3549

Descriptive statistics

Standard deviation1330.8986
Coefficient of variation (CV)0.0068472703
Kurtosis1.4607177
Mean194369.23
Median Absolute Deviation (MAD)1013.2938
Skewness1.0031816
Sum4859230.7
Variance1771291.2
MonotonicityNot monotonic
2024-05-11T17:08:35.901444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
193335.399293698 4
 
16.0%
195226.754231003 2
 
8.0%
194998.059953225 2
 
8.0%
193777.98708319 1
 
4.0%
198284.078546351 1
 
4.0%
195793.554018345 1
 
4.0%
192789.234507928 1
 
4.0%
192523.434151909 1
 
4.0%
192705.427795409 1
 
4.0%
193502.198257261 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
192523.434151909 1
 
4.0%
192705.427795409 1
 
4.0%
192789.234507928 1
 
4.0%
193335.399293698 4
16.0%
193500.51030819 1
 
4.0%
193502.198257261 1
 
4.0%
193556.151489085 1
 
4.0%
193728.812921526 1
 
4.0%
193777.98708319 1
 
4.0%
193802.528349677 1
 
4.0%
ValueCountFrequency (%)
198284.078546351 1
4.0%
195868.882874737 1
4.0%
195825.169527905 1
4.0%
195793.554018345 1
4.0%
195759.872774126 1
4.0%
195226.754231003 2
8.0%
194998.059953225 2
8.0%
194821.255710145 1
4.0%
194807.438647477 1
4.0%
194392.977159807 1
4.0%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442435.27
Minimum440432.97
Maximum443291.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T17:08:36.004547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440432.97
5-th percentile441469.46
Q1442203.16
median442319.56
Q3442873.26
95-th percentile443291.23
Maximum443291.23
Range2858.2577
Interquartile range (IQR)670.09962

Descriptive statistics

Standard deviation670.65364
Coefficient of variation (CV)0.0015158232
Kurtosis1.9609139
Mean442435.27
Median Absolute Deviation (MAD)394.16708
Skewness-0.98857396
Sum11060882
Variance449776.31
MonotonicityNot monotonic
2024-05-11T17:08:36.112360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
443291.231245754 4
 
16.0%
442254.566376733 2
 
8.0%
442706.637070956 2
 
8.0%
442792.138038114 1
 
4.0%
441368.909286824 1
 
4.0%
442281.682871214 1
 
4.0%
442316.068156302 1
 
4.0%
442873.258181421 1
 
4.0%
442293.426070058 1
 
4.0%
441886.287395764 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
440432.973536205 1
4.0%
441368.909286824 1
4.0%
441871.66490971 1
4.0%
441886.287395764 1
4.0%
441925.389776688 1
4.0%
441941.015435004 1
4.0%
442203.158558629 1
4.0%
442254.566376733 2
8.0%
442281.682871214 1
4.0%
442293.426070058 1
4.0%
ValueCountFrequency (%)
443291.231245754 4
16.0%
443184.718930614 1
 
4.0%
442991.286477745 1
 
4.0%
442873.258181421 1
 
4.0%
442792.138038114 1
 
4.0%
442706.637070956 2
8.0%
442692.802986229 1
 
4.0%
442420.17395294 1
 
4.0%
442319.556855223 1
 
4.0%
442316.068156302 1
 
4.0%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03200000PHMG32004320003304740000120041130<NA>1영업/정상13영업중<NA><NA><NA><NA>882-0061<NA>151015서울특별시 관악구 신림동 1417번지 50호 5층서울특별시 관악구 봉천로14길 19, 5층 (신림동)8753(주)유일기기2015-12-07 15:46:49I2018-10-11 15:46:28.0<NA>193777.987083442792.138038<NA><NA><NA><NA>
13200000PHMG32006320003304740000120061120<NA>3폐업3폐업20121205<NA><NA><NA><NA><NA>151830서울특별시 관악구 보라매동 729번지 24호 그린캐릭터빌 1213호서울특별시 관악구 보라매로5가길 7, 1213호 (봉천동, 그린캐릭터빌)151830지엠티2012-12-05 16:01:19I2018-10-11 15:46:28.0<NA>193335.399294443291.231246<NA><NA><NA><NA>
23200000PHMG32009320003304740000120090717<NA>3폐업3폐업20120109<NA><NA><NA>816-4833<NA>151793서울특별시 관악구 삼성동 1704번지 1호 주공1차아파트 관리소 2층서울특별시 관악구 광신길 160 (신림동,주공1차아파트 관리소 2층)<NA>사단법인 한국장애인정보화협회2012-01-09 13:41:19I2018-10-11 15:46:28.0<NA>193556.151489440432.973536<NA><NA><NA><NA>
33200000PHMG32011320003304740000120081124<NA>3폐업3폐업20190527<NA><NA><NA>887-1852<NA><NA>서울특별시 관악구 봉천동 893번지 21호서울특별시 관악구 양녕로 6, 401호 (봉천동)8758(주)관악시스템2019-05-27 17:49:16U2019-05-29 02:40:00.0<NA>195226.754231442254.566377<NA><NA><NA><NA>
43200000PHMG32011320003304740000220110715<NA>3폐업3폐업20141117<NA><NA><NA>883-6360<NA>151843서울특별시 관악구 은천동 902번지 18호 1층서울특별시 관악구 은천로 80 (봉천동,1층)<NA>100세동안 관악점2014-11-17 18:00:15I2018-10-11 15:46:28.0<NA>194998.059953442706.637071<NA><NA><NA><NA>
53200000PHMG3201132000330474000032011-01-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>151-821서울특별시 관악구 보라매동 711번지 28호 1층서울특별시 관악구 당곡2길 17, 1층 (봉천동)8710현대케어2023-06-21 14:24:24U2022-12-05 22:03:00.0<NA>193728.812922443184.718931<NA><NA><NA><NA>
63200000PHMG32011320003304740000420111216<NA>3폐업3폐업20180601<NA><NA><NA>1661-1841<NA>151852서울특별시 관악구 서원동 10번지 633호 대진빌딩 1층서울특별시 관악구 남부순환로 1684 (신림동)8780대진전지판매(주)2018-06-01 16:41:08I2018-10-11 15:46:28.0<NA>194392.97716442420.173953<NA><NA><NA><NA>
73200000PHMG32011320003304740000520110519<NA>3폐업3폐업20160405<NA><NA><NA><NA><NA>151900서울특별시 관악구 신림동 1634번지 6호서울특별시 관악구 신림로 281, 2층 (신림동)8775위니아서비스 관악점2016-04-05 17:43:11I2018-10-11 15:46:28.0<NA>193802.52835441925.389777<NA><NA><NA><NA>
83200000PHMG32012320003304740000120120517<NA>1영업/정상13영업중<NA><NA><NA><NA>868-2552<NA>151901서울특별시 관악구 신원동 1627번지 19호서울특별시 관악구 문성로28길 6 (신림동)8842보청기판매점 오로라2012-05-17 17:15:05I2018-10-11 15:46:28.0<NA>193500.510308441871.66491<NA><NA><NA><NA>
93200000PHMG32012320003304740000220121206<NA>1영업/정상13영업중<NA><NA><NA><NA>889-9076<NA>151830서울특별시 관악구 보라매동 729번지 24호 1213호서울특별시 관악구 보라매로5가길 7, 1213호 (봉천동, 캐릭터그린빌)8708(주)지엠티테크2015-12-07 15:44:44I2018-10-11 15:46:28.0<NA>193335.399294443291.231246<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
153200000PHMG32015320003304740000320150312<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 남현동 1061번지 18호 르메이에르강남타운2서울특별시 관악구 과천대로 939, 르메이에르강남타운2 1층 1-E호 (남현동)8807주식회사 카디오헬스2018-10-25 17:41:46U2018-10-27 02:35:56.0<NA>198284.078546441368.909287<NA><NA><NA><NA>
163200000PHMG32015320003304740000420150707<NA>1영업/정상13영업중<NA><NA><NA><NA>02-878-1222<NA>151834서울특별시 관악구 봉천동 851번지 15호서울특별시 관악구 봉천로 485-1, 4층 (봉천동)8737와이덱스보청기 서울대점2015-07-07 16:02:46I2018-10-11 15:46:28.0<NA>195868.882875442203.158559<NA><NA><NA><NA>
173200000PHMG32015320003304740000520150904<NA>3폐업3폐업20151216<NA><NA><NA>3487-3402<NA><NA>서울특별시 관악구 봉천동 856번지 5호 대우디오슈페리움1단지 비동 1102호서울특별시 관악구 관악로 164, 비동 1102호 (봉천동, 대우디오슈페리움1단지)8788지스캔 주식회사2015-12-17 14:58:30I2018-10-11 15:46:28.0<NA>195759.872774441941.015435<NA><NA><NA><NA>
183200000PHMG32015320003304740000620151014<NA>1영업/정상13영업중<NA><NA><NA><NA>868-2552<NA><NA>서울특별시 관악구 신림동 1627번지 17호 1층서울특별시 관악구 문성로 212, 1층 (신림동)8842오로라보청기 관악점2015-10-15 09:38:54I2018-10-11 15:46:28.0<NA>193502.198257441886.287396<NA><NA><NA><NA>
193200000PHMG32018320003304740000120181123<NA>1영업/정상13영업중<NA><NA><NA><NA>2179-3200<NA><NA>서울특별시 관악구 신림동 507번지 29호서울특별시 관악구 남부순환로 1509, A동 3층 (신림동)8762메디스윕서비스(주)2018-11-27 09:57:14I2018-11-29 02:20:02.0<NA>192705.427795442293.42607<NA><NA><NA><NA>
203200000PHMG3201932000330474000012019-08-06<NA>3폐업24직권폐업2023-03-28<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 498번지 6호서울특별시 관악구 신사로14길 14, 1층 101호 (신림동)8702복지연구소2023-03-28 15:30:33U2022-12-02 21:00:00.0<NA>192523.434152442873.258181<NA><NA><NA><NA>
213200000PHMG3201932000330474000022019-09-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-887-1852<NA><NA>서울특별시 관악구 봉천동 893번지 21호서울특별시 관악구 양녕로 6, 4층 (봉천동)8758엘지전자(주) 관악서비스센터2024-04-09 09:40:29U2023-12-03 23:01:00.0<NA>195226.754231442254.566377<NA><NA><NA><NA>
223200000PHMG3202132000330474000012021-07-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 507-40서울특별시 관악구 남부순환로 1517-1, 5층 (신림동)8762위니아에이드관악점2023-04-03 17:07:59U2022-12-04 00:05:00.0<NA>192789.234508442316.068156<NA><NA><NA><NA>
233200000PHMG3202332000330474000012023-03-02<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-848-0107<NA><NA>서울특별시 관악구 봉천동 729-24 캐릭터그린빌 808호서울특별시 관악구 보라매로5가길 7, 808호 (봉천동, 캐릭터그린빌)8708주식회사 위테크헬스케어2023-11-28 09:26:30U2022-10-31 21:00:00.0<NA>193335.399294443291.231246<NA><NA><NA><NA>
243200000PHMG3202332000330474000022023-08-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 859-17 관악위버폴리스서울특별시 관악구 관악로 195, 3층 303호 (봉천동, 관악위버폴리스)8745스타키보청기 관악점2023-08-04 17:45:31I2022-12-08 00:06:00.0<NA>195793.554018442281.682871<NA><NA><NA><NA>