Overview

Dataset statistics

Number of variables29
Number of observations33
Missing cells427
Missing cells (%)44.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory252.0 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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16408/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 16 (48.5%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
전화번호 has 12 (36.4%) missing valuesMissing
소재지면적 has 33 (100.0%) missing valuesMissing
소재지우편번호 has 17 (51.5%) missing valuesMissing
지번주소 has 12 (36.4%) missing valuesMissing
도로명주소 has 10 (30.3%) missing valuesMissing
도로명우편번호 has 10 (30.3%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
좌표정보(X) has 10 (30.3%) missing valuesMissing
좌표정보(Y) has 10 (30.3%) missing valuesMissing
수리대상 의료기기의 유형 has 33 (100.0%) missing valuesMissing
다른 겸업 여부 has 33 (100.0%) missing valuesMissing
총규모 has 33 (100.0%) missing valuesMissing
영업규모 has 33 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 03:10:09.466029
Analysis finished2024-05-11 03:10:10.442232
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3020000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 33
100.0%

Length

2024-05-11T03:10:10.936285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:10:11.388727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 33
100.0%

관리번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T03:10:11.905272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters825
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

Unique33 ?
Unique (%)100.0%

Sample

1st rowPHMG320043020033047400001
2nd rowPHMG320053020033047400001
3rd rowPHMG320053020033047400002
4th rowPHMG320053020033047400003
5th rowPHMG320053020033047400004
ValueCountFrequency (%)
phmg320043020033047400001 1
 
3.0%
phmg320123020033047400001 1
 
3.0%
phmg320213020033047400001 1
 
3.0%
phmg320203020033047400002 1
 
3.0%
phmg320203020033047400001 1
 
3.0%
phmg320193020033047400001 1
 
3.0%
phmg320183020033047400002 1
 
3.0%
phmg320173020033047400002 1
 
3.0%
phmg320173020033047400001 1
 
3.0%
phmg320163020033047400001 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T03:10:13.165398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 315
38.2%
3 136
16.5%
2 80
 
9.7%
4 72
 
8.7%
7 36
 
4.4%
1 35
 
4.2%
P 33
 
4.0%
H 33
 
4.0%
M 33
 
4.0%
G 33
 
4.0%
Other values (4) 19
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 693
84.0%
Uppercase Letter 132
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 315
45.5%
3 136
19.6%
2 80
 
11.5%
4 72
 
10.4%
7 36
 
5.2%
1 35
 
5.1%
5 9
 
1.3%
8 6
 
0.9%
6 2
 
0.3%
9 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
P 33
25.0%
H 33
25.0%
M 33
25.0%
G 33
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 693
84.0%
Latin 132
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 315
45.5%
3 136
19.6%
2 80
 
11.5%
4 72
 
10.4%
7 36
 
5.2%
1 35
 
5.1%
5 9
 
1.3%
8 6
 
0.9%
6 2
 
0.3%
9 2
 
0.3%
Latin
ValueCountFrequency (%)
P 33
25.0%
H 33
25.0%
M 33
25.0%
G 33
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 315
38.2%
3 136
16.5%
2 80
 
9.7%
4 72
 
8.7%
7 36
 
4.4%
1 35
 
4.2%
P 33
 
4.0%
H 33
 
4.0%
M 33
 
4.0%
G 33
 
4.0%
Other values (4) 19
 
2.3%

인허가일자
Date

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2004-11-11 00:00:00
Maximum2021-05-11 00:00:00
2024-05-11T03:10:13.803020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:10:14.365724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
3
17 
1
14 
5
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row5
5th row1

Common Values

ValueCountFrequency (%)
3 17
51.5%
1 14
42.4%
5 2
 
6.1%

Length

2024-05-11T03:10:14.930010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:10:15.235852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 17
51.5%
1 14
42.4%
5 2
 
6.1%

영업상태명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
폐업
17 
영업/정상
14 
제외/삭제/전출
2 

Length

Max length8
Median length2
Mean length3.6363636
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 17
51.5%
영업/정상 14
42.4%
제외/삭제/전출 2
 
6.1%

Length

2024-05-11T03:10:15.640949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:10:16.106646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 17
51.5%
영업/정상 14
42.4%
제외/삭제/전출 2
 
6.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
3
16 
13
14 
15
2 
24
 
1

Length

Max length2
Median length2
Mean length1.5151515
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row3
2nd row13
3rd row3
4th row15
5th row13

Common Values

ValueCountFrequency (%)
3 16
48.5%
13 14
42.4%
15 2
 
6.1%
24 1
 
3.0%

Length

2024-05-11T03:10:16.508800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:10:16.924749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 16
48.5%
13 14
42.4%
15 2
 
6.1%
24 1
 
3.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
폐업
16 
영업중
14 
전출
2 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.4848485
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 16
48.5%
영업중 14
42.4%
전출 2
 
6.1%
직권폐업 1
 
3.0%

Length

2024-05-11T03:10:17.420912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:10:17.857750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 16
48.5%
영업중 14
42.4%
전출 2
 
6.1%
직권폐업 1
 
3.0%

폐업일자
Date

MISSING 

Distinct16
Distinct (%)94.1%
Missing16
Missing (%)48.5%
Memory size396.0 B
Minimum2011-08-24 00:00:00
Maximum2023-07-26 00:00:00
2024-05-11T03:10:18.372874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:10:18.894815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)85.7%
Missing12
Missing (%)36.4%
Memory size396.0 B
2024-05-11T03:10:19.449711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.4761905
Min length8

Characters and Unicode

Total characters199
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 (%)71.4%

Sample

1st row790-8452
2nd row714-2215
3rd row318-6394
4th row3789-2897
5th row702-3001
ValueCountFrequency (%)
02-706-6435 2
 
9.5%
3789-2897 2
 
9.5%
02-706-3873 2
 
9.5%
701-5266 1
 
4.8%
3450-7175 1
 
4.8%
02-715-7166 1
 
4.8%
2272-9823 1
 
4.8%
777-8999 1
 
4.8%
070-4035-5454 1
 
4.8%
790-8452 1
 
4.8%
Other values (8) 8
38.1%
2024-05-11T03:10:20.299844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 28
14.1%
7 28
14.1%
0 26
13.1%
2 19
9.5%
3 19
9.5%
6 15
7.5%
4 15
7.5%
5 14
7.0%
8 13
6.5%
9 12
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 171
85.9%
Dash Punctuation 28
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 28
16.4%
0 26
15.2%
2 19
11.1%
3 19
11.1%
6 15
8.8%
4 15
8.8%
5 14
8.2%
8 13
7.6%
9 12
7.0%
1 10
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 28
14.1%
7 28
14.1%
0 26
13.1%
2 19
9.5%
3 19
9.5%
6 15
7.5%
4 15
7.5%
5 14
7.0%
8 13
6.5%
9 12
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 28
14.1%
7 28
14.1%
0 26
13.1%
2 19
9.5%
3 19
9.5%
6 15
7.5%
4 15
7.5%
5 14
7.0%
8 13
6.5%
9 12
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지우편번호
Text

MISSING 

Distinct15
Distinct (%)93.8%
Missing17
Missing (%)51.5%
Memory size396.0 B
2024-05-11T03:10:20.694928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0625
Min length6

Characters and Unicode

Total characters97
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

Unique14 ?
Unique (%)87.5%

Sample

1st row140-849
2nd row140901
3rd row140132
4th row140879
5th row140856
ValueCountFrequency (%)
140856 2
 
12.5%
140-849 1
 
6.2%
140901 1
 
6.2%
140132 1
 
6.2%
140879 1
 
6.2%
140747 1
 
6.2%
140874 1
 
6.2%
140818 1
 
6.2%
140896 1
 
6.2%
140210 1
 
6.2%
Other values (5) 5
31.2%
2024-05-11T03:10:21.495043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 21
21.6%
4 19
19.6%
0 18
18.6%
8 12
12.4%
7 7
 
7.2%
6 4
 
4.1%
9 4
 
4.1%
2 4
 
4.1%
5 3
 
3.1%
3 3
 
3.1%
Other values (2) 2
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95
97.9%
Dash Punctuation 1
 
1.0%
Space Separator 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
22.1%
4 19
20.0%
0 18
18.9%
8 12
12.6%
7 7
 
7.4%
6 4
 
4.2%
9 4
 
4.2%
2 4
 
4.2%
5 3
 
3.2%
3 3
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 21
21.6%
4 19
19.6%
0 18
18.6%
8 12
12.4%
7 7
 
7.2%
6 4
 
4.1%
9 4
 
4.1%
2 4
 
4.1%
5 3
 
3.1%
3 3
 
3.1%
Other values (2) 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 21
21.6%
4 19
19.6%
0 18
18.6%
8 12
12.4%
7 7
 
7.2%
6 4
 
4.1%
9 4
 
4.1%
2 4
 
4.1%
5 3
 
3.1%
3 3
 
3.1%
Other values (2) 2
 
2.1%

지번주소
Text

MISSING 

Distinct19
Distinct (%)90.5%
Missing12
Missing (%)36.4%
Memory size396.0 B
2024-05-11T03:10:22.012397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length31
Mean length28.47619
Min length14

Characters and Unicode

Total characters598
Distinct characters76
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

Unique17 ?
Unique (%)81.0%

Sample

1st row서울특별시 용산구 원효로3가 산 51번지 30호 원효전자상가 4동 211호
2nd row서울특별시 용산구 갈월동 98번지 38호 청룡빌딩
3rd row서울특별시 용산구 후암동 산 175번지 9호 용암빌딩 202호
4th row서울특별시 용산구 청파동3가 29-14 복조빌딩
5th row서울특별시 용산구 청파동2가 산 72번지 5호 대명빌딩
ValueCountFrequency (%)
서울특별시 21
 
16.5%
용산구 21
 
16.5%
산 11
 
8.7%
이태원동 3
 
2.4%
한강로3가 3
 
2.4%
한강로2가 3
 
2.4%
청파동3가 2
 
1.6%
16번지 2
 
1.6%
29-14 2
 
1.6%
9호 2
 
1.6%
Other values (54) 57
44.9%
2024-05-11T03:10:23.063492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
17.7%
산 33
 
5.5%
용 23
 
3.8%
서 21
 
3.5%
특 21
 
3.5%
별 21
 
3.5%
시 21
 
3.5%
구 21
 
3.5%
울 21
 
3.5%
3 19
 
3.2%
Other values (66) 291
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
64.2%
Space Separator 106
 
17.7%
Decimal Number 101
 
16.9%
Dash Punctuation 5
 
0.8%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 33
 
8.6%
용 23
 
6.0%
서 21
 
5.5%
특 21
 
5.5%
별 21
 
5.5%
시 21
 
5.5%
구 21
 
5.5%
울 21
 
5.5%
호 17
 
4.4%
동 17
 
4.4%
Other values (53) 168
43.8%
Decimal Number
ValueCountFrequency (%)
3 19
18.8%
1 18
17.8%
2 18
17.8%
9 11
10.9%
0 7
 
6.9%
6 7
 
6.9%
4 7
 
6.9%
5 6
 
5.9%
8 5
 
5.0%
7 3
 
3.0%
Space Separator
ValueCountFrequency (%)
106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
64.2%
Common 214
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 33
 
8.6%
용 23
 
6.0%
서 21
 
5.5%
특 21
 
5.5%
별 21
 
5.5%
시 21
 
5.5%
구 21
 
5.5%
울 21
 
5.5%
호 17
 
4.4%
동 17
 
4.4%
Other values (53) 168
43.8%
Common
ValueCountFrequency (%)
106
49.5%
3 19
 
8.9%
1 18
 
8.4%
2 18
 
8.4%
9 11
 
5.1%
0 7
 
3.3%
6 7
 
3.3%
4 7
 
3.3%
5 6
 
2.8%
8 5
 
2.3%
Other values (3) 10
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
64.2%
ASCII 214
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
49.5%
3 19
 
8.9%
1 18
 
8.4%
2 18
 
8.4%
9 11
 
5.1%
0 7
 
3.3%
6 7
 
3.3%
4 7
 
3.3%
5 6
 
2.8%
8 5
 
2.3%
Other values (3) 10
 
4.7%
Hangul
ValueCountFrequency (%)
산 33
 
8.6%
용 23
 
6.0%
서 21
 
5.5%
특 21
 
5.5%
별 21
 
5.5%
시 21
 
5.5%
구 21
 
5.5%
울 21
 
5.5%
호 17
 
4.4%
동 17
 
4.4%
Other values (53) 168
43.8%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing10
Missing (%)30.3%
Memory size396.0 B
2024-05-11T03:10:23.580495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length33.086957
Min length24

Characters and Unicode

Total characters761
Distinct characters95
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

Unique19 ?
Unique (%)82.6%

Sample

1st row서울특별시 용산구 한강대로 257, 청룡빌딩 2, 4층 (갈월동)
2nd row서울특별시 용산구 두텁바위로 43 (후암동)
3rd row서울특별시 용산구 청파로45길 19, 복조빌딩 301호,302호 (청파동3가)
4th row서울특별시 용산구 청파로45길 19, 복조빌딩 301호, 302호 (청파동3가)
5th row서울특별시 서초구 서초중앙로 62 (서초동, 우일빌딩)
ValueCountFrequency (%)
서울특별시 23
 
15.9%
용산구 21
 
14.5%
한강로3가 8
 
5.5%
청파로 5
 
3.4%
이태원동 4
 
2.8%
74 4
 
2.8%
전자랜드 4
 
2.8%
28 3
 
2.1%
갈월동 2
 
1.4%
광장층 2
 
1.4%
Other values (53) 69
47.6%
2024-05-11T03:10:24.594992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
16.0%
로 33
 
4.3%
서 28
 
3.7%
구 24
 
3.2%
) 23
 
3.0%
울 23
 
3.0%
시 23
 
3.0%
별 23
 
3.0%
특 23
 
3.0%
( 23
 
3.0%
Other values (85) 416
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
60.4%
Space Separator 122
 
16.0%
Decimal Number 109
 
14.3%
Close Punctuation 23
 
3.0%
Open Punctuation 23
 
3.0%
Other Punctuation 21
 
2.8%
Dash Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 33
 
7.2%
서 28
 
6.1%
구 24
 
5.2%
울 23
 
5.0%
시 23
 
5.0%
별 23
 
5.0%
특 23
 
5.0%
용 21
 
4.6%
산 21
 
4.6%
동 15
 
3.3%
Other values (69) 226
49.1%
Decimal Number
ValueCountFrequency (%)
3 21
19.3%
2 18
16.5%
1 14
12.8%
4 14
12.8%
0 10
9.2%
5 8
 
7.3%
7 7
 
6.4%
9 7
 
6.4%
8 6
 
5.5%
6 4
 
3.7%
Space Separator
ValueCountFrequency (%)
122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
60.4%
Common 300
39.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 33
 
7.2%
서 28
 
6.1%
구 24
 
5.2%
울 23
 
5.0%
시 23
 
5.0%
별 23
 
5.0%
특 23
 
5.0%
용 21
 
4.6%
산 21
 
4.6%
동 15
 
3.3%
Other values (69) 226
49.1%
Common
ValueCountFrequency (%)
122
40.7%
) 23
 
7.7%
( 23
 
7.7%
3 21
 
7.0%
, 21
 
7.0%
2 18
 
6.0%
1 14
 
4.7%
4 14
 
4.7%
0 10
 
3.3%
5 8
 
2.7%
Other values (5) 26
 
8.7%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
60.4%
ASCII 301
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
40.5%
) 23
 
7.6%
( 23
 
7.6%
3 21
 
7.0%
, 21
 
7.0%
2 18
 
6.0%
1 14
 
4.7%
4 14
 
4.7%
0 10
 
3.3%
5 8
 
2.7%
Other values (6) 27
 
9.0%
Hangul
ValueCountFrequency (%)
로 33
 
7.2%
서 28
 
6.1%
구 24
 
5.2%
울 23
 
5.0%
시 23
 
5.0%
별 23
 
5.0%
특 23
 
5.0%
용 21
 
4.6%
산 21
 
4.6%
동 15
 
3.3%
Other values (69) 226
49.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)65.2%
Missing10
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean16422.348
Minimum4313
Maximum140901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T03:10:25.207193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4313
5-th percentile4313.2
Q14343.5
median4372
Q34376
95-th percentile127448.8
Maximum140901
Range136588
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation39279.108
Coefficient of variation (CV)2.3918083
Kurtosis8.5990225
Mean16422.348
Median Absolute Deviation (MAD)26
Skewness3.1388542
Sum377714
Variance1.5428483 × 109
MonotonicityNot monotonic
2024-05-11T03:10:25.708026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4372 4
 
12.1%
4373 3
 
9.1%
4322 2
 
6.1%
4313 2
 
6.1%
4346 2
 
6.1%
140901 1
 
3.0%
6640 1
 
3.0%
6593 1
 
3.0%
140872 1
 
3.0%
4392 1
 
3.0%
Other values (5) 5
15.2%
(Missing) 10
30.3%
ValueCountFrequency (%)
4313 2
6.1%
4315 1
 
3.0%
4322 2
6.1%
4342 1
 
3.0%
4345 1
 
3.0%
4346 2
6.1%
4366 1
 
3.0%
4372 4
12.1%
4373 3
9.1%
4379 1
 
3.0%
ValueCountFrequency (%)
140901 1
 
3.0%
140872 1
 
3.0%
6640 1
 
3.0%
6593 1
 
3.0%
4392 1
 
3.0%
4379 1
 
3.0%
4373 3
9.1%
4372 4
12.1%
4366 1
 
3.0%
4346 2
6.1%

사업장명
Text

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T03:10:26.318044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length8.3939394
Min length2

Characters and Unicode

Total characters277
Distinct characters102
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)75.8%

Sample

1st row파나테크
2nd row(주)이노메드
3rd row하나덴탈
4th row큐덴트
5th row대명실업주식회사
ValueCountFrequency (%)
큐덴트 2
 
5.1%
주)필립스전자 2
 
5.1%
용산서비스 2
 
5.1%
엠에이디매직 2
 
5.1%
주)이노메드 2
 
5.1%
지반토스 2
 
5.1%
유한회사 2
 
5.1%
중증장애인독립생활연대부설 1
 
2.6%
실버쉴드코리아 1
 
2.6%
파나테크 1
 
2.6%
Other values (22) 22
56.4%
2024-05-11T03:10:27.386895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 18
 
6.5%
) 17
 
6.1%
( 17
 
6.1%
스 15
 
5.4%
지 8
 
2.9%
이 7
 
2.5%
산 7
 
2.5%
6
 
2.2%
드 5
 
1.8%
용 5
 
1.8%
Other values (92) 172
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
85.6%
Close Punctuation 17
 
6.1%
Open Punctuation 17
 
6.1%
Space Separator 6
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
7.6%
스 15
 
6.3%
지 8
 
3.4%
이 7
 
3.0%
산 7
 
3.0%
드 5
 
2.1%
용 5
 
2.1%
아 5
 
2.1%
시 4
 
1.7%
기 4
 
1.7%
Other values (89) 159
67.1%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
85.6%
Common 40
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
7.6%
스 15
 
6.3%
지 8
 
3.4%
이 7
 
3.0%
산 7
 
3.0%
드 5
 
2.1%
용 5
 
2.1%
아 5
 
2.1%
시 4
 
1.7%
기 4
 
1.7%
Other values (89) 159
67.1%
Common
ValueCountFrequency (%)
) 17
42.5%
( 17
42.5%
6
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
85.6%
ASCII 40
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 18
 
7.6%
스 15
 
6.3%
지 8
 
3.4%
이 7
 
3.0%
산 7
 
3.0%
드 5
 
2.1%
용 5
 
2.1%
아 5
 
2.1%
시 4
 
1.7%
기 4
 
1.7%
Other values (89) 159
67.1%
ASCII
ValueCountFrequency (%)
) 17
42.5%
( 17
42.5%
6
 
15.0%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2012-02-09 14:17:08
Maximum2024-04-24 13:58:12
2024-05-11T03:10:27.800141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:10:28.249375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
24 
U
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 24
72.7%
U 9
 
27.3%

Length

2024-05-11T03:10:28.901188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:10:29.346816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 24
72.7%
u 9
 
27.3%

데이터갱신일자
Date

Distinct13
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-10-11 15:46:28
Maximum2023-12-03 22:06:00
2024-05-11T03:10:29.745589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:10:30.148594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)65.2%
Missing10
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean197729.92
Minimum195956.83
Maximum201286.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T03:10:30.701688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195956.83
5-th percentile195967.21
Q1196370.75
median197231.03
Q3199013.63
95-th percentile201114.18
Maximum201286.6
Range5329.7639
Interquartile range (IQR)2642.8869

Descriptive statistics

Standard deviation1637.9931
Coefficient of variation (CV)0.0082839919
Kurtosis-0.09102765
Mean197729.92
Median Absolute Deviation (MAD)860.28255
Skewness0.93361823
Sum4547788.2
Variance2683021.3
MonotonicityNot monotonic
2024-05-11T03:10:31.236382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
196370.746398773 4
 
12.1%
197492.006217098 2
 
6.1%
197231.028951482 2
 
6.1%
201286.596267126 2
 
6.1%
199562.397911327 2
 
6.1%
195956.83241222 2
 
6.1%
197894.485923645 1
 
3.0%
197485.416115778 1
 
3.0%
199519.166198481 1
 
3.0%
196288.764257138 1
 
3.0%
Other values (5) 5
15.2%
(Missing) 10
30.3%
ValueCountFrequency (%)
195956.83241222 2
6.1%
196060.559012563 1
 
3.0%
196288.764257138 1
 
3.0%
196370.746398773 4
12.1%
196777.04651506 1
 
3.0%
197194.757574283 1
 
3.0%
197231.028951482 2
6.1%
197485.416115778 1
 
3.0%
197492.006217098 2
6.1%
197894.485923645 1
 
3.0%
ValueCountFrequency (%)
201286.596267126 2
6.1%
199562.397911327 2
6.1%
199519.166198481 1
3.0%
199214.10239741 1
3.0%
198813.164235318 1
3.0%
197894.485923645 1
3.0%
197492.006217098 2
6.1%
197485.416115778 1
3.0%
197231.028951482 2
6.1%
197194.757574283 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)65.2%
Missing10
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean447739.95
Minimum442791.49
Maximum449297.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T03:10:31.806610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442791.49
5-th percentile443221.37
Q1447671.57
median447841.7
Q3448720.55
95-th percentile449114.14
Maximum449297.02
Range6505.524
Interquartile range (IQR)1048.9857

Descriptive statistics

Standard deviation1676.0866
Coefficient of variation (CV)0.0037434377
Kurtosis5.7651223
Mean447739.95
Median Absolute Deviation (MAD)613.63966
Skewness-2.4096056
Sum10298019
Variance2809266.2
MonotonicityNot monotonic
2024-05-11T03:10:32.267376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
447841.698787531 4
 
12.1%
448773.777810385 2
 
6.1%
449114.142891412 2
 
6.1%
442791.494155941 2
 
6.1%
448667.32660778 2
 
6.1%
447651.530984522 2
 
6.1%
449297.018186721 1
 
3.0%
447691.602109451 1
 
3.0%
447324.831177012 1
 
3.0%
447946.79077447 1
 
3.0%
Other values (5) 5
15.2%
(Missing) 10
30.3%
ValueCountFrequency (%)
442791.494155941 2
6.1%
447090.223778137 1
 
3.0%
447324.831177012 1
 
3.0%
447651.530984522 2
6.1%
447691.602109451 1
 
3.0%
447732.807254308 1
 
3.0%
447841.698787531 4
12.1%
447946.79077447 1
 
3.0%
448225.011860193 1
 
3.0%
448455.338450919 1
 
3.0%
ValueCountFrequency (%)
449297.018186721 1
 
3.0%
449114.142891412 2
6.1%
448891.794439538 1
 
3.0%
448773.777810385 2
6.1%
448667.32660778 2
6.1%
448455.338450919 1
 
3.0%
448225.011860193 1
 
3.0%
447946.79077447 1
 
3.0%
447841.698787531 4
12.1%
447732.807254308 1
 
3.0%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03020000PHMG3200430200330474000012004-11-11<NA>3폐업3폐업2023-07-26<NA><NA><NA>790-8452<NA>140-849서울특별시 용산구 원효로3가 산 51번지 30호 원효전자상가 4동 211호<NA><NA>파나테크2023-07-26 15:42:21U2022-12-06 22:09:00.0<NA><NA><NA><NA><NA><NA><NA>
13020000PHMG32005302003304740000120050524<NA>1영업/정상13영업중<NA><NA><NA><NA>714-2215<NA><NA>서울특별시 용산구 갈월동 98번지 38호 청룡빌딩서울특별시 용산구 한강대로 257, 청룡빌딩 2, 4층 (갈월동)4322(주)이노메드2017-12-18 15:21:55I2018-10-11 15:46:28.0<NA>197492.006217448773.77781<NA><NA><NA><NA>
23020000PHMG32005302003304740000220050518<NA>3폐업3폐업20150406<NA><NA><NA>318-6394<NA>140901서울특별시 용산구 후암동 산 175번지 9호 용암빌딩 202호서울특별시 용산구 두텁바위로 43 (후암동)140901하나덴탈2015-04-07 09:51:15I2018-10-11 15:46:28.0<NA>197894.485924449297.018187<NA><NA><NA><NA>
33020000PHMG3200530200330474000032005-03-28<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>3789-2897<NA><NA>서울특별시 용산구 청파동3가 29-14 복조빌딩서울특별시 용산구 청파로45길 19, 복조빌딩 301호,302호 (청파동3가)4313큐덴트2023-07-17 09:52:18U2022-12-06 23:09:00.0<NA>197231.028951449114.142891<NA><NA><NA><NA>
43020000PHMG32005302003304740000420050318<NA>1영업/정상13영업중<NA><NA><NA><NA>702-3001<NA>140132서울특별시 용산구 청파동2가 산 72번지 5호 대명빌딩<NA><NA>대명실업주식회사2012-11-26 11:19:09I2018-10-11 15:46:28.0<NA><NA><NA><NA><NA><NA><NA>
53020000PHMG3200530200330474000052005-03-28<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>3789-2897<NA><NA>서울특별시 용산구 청파동3가 29-14 복조빌딩서울특별시 용산구 청파로45길 19, 복조빌딩 301호, 302호 (청파동3가)4313큐덴트2023-07-18 13:51:36I2022-12-06 22:00:00.0<NA>197231.028951449114.142891<NA><NA><NA><NA>
63020000PHMG32006302003304740000120060623<NA>3폐업3폐업20111024<NA><NA><NA>3272-3500<NA>140879서울특별시 용산구 한강로3가 산 16번지 58호 용산전자오피스텔 301,302,303호<NA><NA>티지아이씨디지탈(주)2012-02-09 14:42:04I2018-10-11 15:46:28.0<NA><NA><NA><NA><NA><NA><NA>
73020000PHMG32007302003304740000120070604<NA>3폐업3폐업20130114<NA><NA><NA>3445-9010<NA>140856서울특별시 용산구 이태원2동 산 260번지 199호<NA><NA>(주)필립스전자2013-01-15 17:56:43I2018-10-11 15:46:28.0<NA><NA><NA><NA><NA><NA><NA>
83020000PHMG32008302003304740000120080521<NA>1영업/정상13영업중<NA><NA><NA><NA>701-4447<NA>140747서울특별시 용산구 한강로2가 산 22번지 31호 선인상가<NA><NA>(주)베이스캠프씨엔엠2012-11-26 11:10:49I2018-10-11 15:46:28.0<NA><NA><NA><NA><NA><NA><NA>
93020000PHMG32008302003304740000220081125<NA>3폐업24직권폐업20131113<NA><NA><NA>706-6435<NA>140874서울특별시 용산구 한강로2가 산 16번지 9호 전자랜드신관 3층 43호<NA><NA>(주)용산통신기기전문센터2013-11-13 14:16:03I2018-10-11 15:46:28.0<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
233020000PHMG32015302003304740000120150904<NA>3폐업3폐업20161107<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 청파로 40 (한강로3가, 삼구빌딩)4373지스캔 주식회사2016-11-08 11:05:28I2018-10-11 15:46:28.0<NA>196060.559013447732.807254<NA><NA><NA><NA>
243020000PHMG32016302003304740000120161121<NA>3폐업3폐업20201218<NA><NA><NA>02-706-3873<NA><NA><NA>서울특별시 용산구 청파로 74, 광장층 38호 (한강로3가, 전자랜드)4372용산서비스2020-12-18 11:34:31U2020-12-20 02:40:00.0<NA>196370.746399447841.698788<NA><NA><NA><NA>
253020000PHMG32017302003304740000120170215<NA>3폐업3폐업20190430<NA><NA><NA>02-706-6435<NA><NA><NA>서울특별시 용산구 청파로 74, 본관C-312호 (한강로3가, 전자랜드)4372(주)용산서비스2019-04-30 13:21:04U2019-05-02 02:40:00.0<NA>196370.746399447841.698788<NA><NA><NA><NA>
263020000PHMG32017302003304740000220171211<NA>1영업/정상13영업중<NA><NA><NA><NA>02-715-7166<NA><NA><NA>서울특별시 용산구 한강대로 257, 청룡빌딩 2층 (갈월동)4322(주)이노메드 홀딩스2017-12-18 14:26:52I2018-10-11 15:46:28.0<NA>197492.006217448773.77781<NA><NA><NA><NA>
273020000PHMG32018302003304740000220180518<NA>3폐업3폐업20200626<NA><NA><NA><NA><NA>04373<NA>서울특별시 용산구 이촌로 5, 지하1층 109호 (한강로3가, 한강그랜드오피스텔)4373엠에이디매직2020-06-26 11:30:01U2020-06-28 02:40:00.0<NA>195956.832412447651.530985<NA><NA><NA><NA>
283020000PHMG3201930200330474000012019-10-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-706-6435<NA><NA><NA>서울특별시 용산구 청파로 74, 전자랜드 (한강로3가)4372엘지전자(주) 용산서비스2024-03-29 08:58:08U2023-12-02 21:01:00.0<NA>196370.746399447841.698788<NA><NA><NA><NA>
293020000PHMG32020302003304740000120200702<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 16-91 한강그랜드오피스텔서울특별시 용산구 이촌로 5, 지하1층 109호 (한강로3가, 한강그랜드오피스텔)4373엠에이디매직2020-07-09 17:15:34I2020-07-11 00:23:16.0<NA>195956.832412447651.530985<NA><NA><NA><NA>
303020000PHMG3202030200330474000022020-09-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 문배동 40-19 삼라마이다스빌아파트서울특별시 용산구 백범로90라길 28, 111호 (문배동, 삼라마이다스빌아파트)4315(주)해피로드2024-04-24 13:58:12U2023-12-03 22:06:00.0<NA>197194.757574448455.338451<NA><NA><NA><NA>
313020000PHMG32021302003304740000120210104<NA>1영업/정상13영업중<NA><NA><NA><NA>02-706-3873<NA><NA>서울특별시 용산구 한강로3가 16-9 전자랜드서울특별시 용산구 청파로 74, 전자랜드 신관동 광장층 36호 (한강로3가)4372투투2021-01-13 14:11:13I2021-01-15 00:23:04.0<NA>196370.746399447841.698788<NA><NA><NA><NA>
323020000PHMG32021302003304740000220210511<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8882-3966<NA><NA><NA>서울특별시 용산구 한강대로15길 2-9 (한강로3가)4379서울의지2021-05-17 17:51:54I2021-05-19 00:22:56.0<NA>196777.046515447090.223778<NA><NA><NA><NA>