Overview

Dataset statistics

Number of variables30
Number of observations99
Missing cells950
Missing cells (%)32.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.0 KiB
Average record size in memory258.3 B

Variable types

Categorical10
Numeric4
DateTime4
Unsupported8
Text4

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),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-16563/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (58.0%)Imbalance
총인원 is highly imbalanced (59.5%)Imbalance
인허가취소일자 has 99 (100.0%) missing valuesMissing
폐업일자 has 70 (70.7%) missing valuesMissing
휴업시작일자 has 99 (100.0%) missing valuesMissing
휴업종료일자 has 99 (100.0%) missing valuesMissing
재개업일자 has 99 (100.0%) missing valuesMissing
전화번호 has 38 (38.4%) missing valuesMissing
소재지우편번호 has 99 (100.0%) missing valuesMissing
지번주소 has 2 (2.0%) missing valuesMissing
도로명주소 has 17 (17.2%) missing valuesMissing
도로명우편번호 has 17 (17.2%) missing valuesMissing
업태구분명 has 99 (100.0%) missing valuesMissing
좌표정보(X) has 7 (7.1%) missing valuesMissing
좌표정보(Y) has 7 (7.1%) missing valuesMissing
축산물가공업구분명 has 99 (100.0%) missing valuesMissing
축산일련번호 has 99 (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
소재지우편번호 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
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:50:28.764060
Analysis finished2024-05-11 07:50:29.703795
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
3220000
99 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 99
100.0%

Length

2024-05-11T07:50:29.872431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:30.234648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 99
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.22 × 1017
Minimum3.22 × 1017
Maximum3.22 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T07:50:30.590543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.22 × 1017
5-th percentile3.22 × 1017
Q13.22 × 1017
median3.22 × 1017
Q33.22 × 1017
95-th percentile3.22 × 1017
Maximum3.22 × 1017
Range350001
Interquartile range (IQR)55040

Descriptive statistics

Standard deviation87085.261
Coefficient of variation (CV)2.7045112 × 10-13
Kurtosis1.1756408
Mean3.22 × 1017
Median Absolute Deviation (MAD)19968
Skewness-1.5882317
Sum-5.015488 × 1018
Variance7.5838427 × 109
MonotonicityStrictly increasing
2024-05-11T07:50:31.043585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
322000001319890001 1
 
1.0%
322000001320220006 1
 
1.0%
322000001320220016 1
 
1.0%
322000001320220015 1
 
1.0%
322000001320220014 1
 
1.0%
322000001320220013 1
 
1.0%
322000001320220012 1
 
1.0%
322000001320220011 1
 
1.0%
322000001320220010 1
 
1.0%
322000001320220009 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
322000001319890001 1
1.0%
322000001319950001 1
1.0%
322000001319960001 1
1.0%
322000001319960002 1
1.0%
322000001319960003 1
1.0%
322000001319970001 1
1.0%
322000001319980001 1
1.0%
322000001319990001 1
1.0%
322000001320000001 1
1.0%
322000001320010001 1
1.0%
ValueCountFrequency (%)
322000001320240002 1
1.0%
322000001320240001 1
1.0%
322000001320230010 1
1.0%
322000001320230009 1
1.0%
322000001320230008 1
1.0%
322000001320230007 1
1.0%
322000001320230006 1
1.0%
322000001320230005 1
1.0%
322000001320230004 1
1.0%
322000001320230003 1
1.0%

인허가일자
Date

Distinct82
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum1989-02-18 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T07:50:31.488177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:50:31.965673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
1
64 
3
29 
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 64
64.6%
3 29
29.3%
4 6
 
6.1%

Length

2024-05-11T07:50:32.356936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:32.681746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 64
64.6%
3 29
29.3%
4 6
 
6.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
영업/정상
64 
폐업
29 
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length5
Mean length4.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 64
64.6%
폐업 29
29.3%
취소/말소/만료/정지/중지 6
 
6.1%

Length

2024-05-11T07:50:33.059263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:33.334937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 64
64.6%
폐업 29
29.3%
취소/말소/만료/정지/중지 6
 
6.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
64 
2
29 
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 64
64.6%
2 29
29.3%
4 6
 
6.1%

Length

2024-05-11T07:50:33.671750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:33.967741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
64.6%
2 29
29.3%
4 6
 
6.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
정상
64 
폐업
29 
말소
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 64
64.6%
폐업 29
29.3%
말소 6
 
6.1%

Length

2024-05-11T07:50:34.300422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:34.630329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 64
64.6%
폐업 29
29.3%
말소 6
 
6.1%

폐업일자
Date

MISSING 

Distinct23
Distinct (%)79.3%
Missing70
Missing (%)70.7%
Memory size924.0 B
Minimum2003-11-20 00:00:00
Maximum2024-03-04 00:00:00
2024-05-11T07:50:34.965353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:50:35.330043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

전화번호
Text

MISSING 

Distinct48
Distinct (%)78.7%
Missing38
Missing (%)38.4%
Memory size924.0 B
2024-05-11T07:50:35.964496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.47541
Min length7

Characters and Unicode

Total characters700
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

Unique42 ?
Unique (%)68.9%

Sample

1st row02-538-5200
2nd row3453-2600
3rd row541-4541
4th row3450-7997
5th row02-2627-9700
ValueCountFrequency (%)
070-4432-5855 6
 
9.8%
02-3471-6500 5
 
8.2%
02-514-2115 2
 
3.3%
02-6953-4952 2
 
3.3%
02-557-2535 2
 
3.3%
02-733-7080 2
 
3.3%
02-2039-2239 1
 
1.6%
1644-1107 1
 
1.6%
070-4351-3000 1
 
1.6%
02-1544-9667 1
 
1.6%
Other values (38) 38
62.3%
2024-05-11T07:50:37.082731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 128
18.3%
- 111
15.9%
5 76
10.9%
2 73
10.4%
4 57
8.1%
7 56
8.0%
3 56
8.0%
1 43
 
6.1%
6 36
 
5.1%
8 33
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 589
84.1%
Dash Punctuation 111
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 128
21.7%
5 76
12.9%
2 73
12.4%
4 57
9.7%
7 56
9.5%
3 56
9.5%
1 43
 
7.3%
6 36
 
6.1%
8 33
 
5.6%
9 31
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 700
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 128
18.3%
- 111
15.9%
5 76
10.9%
2 73
10.4%
4 57
8.1%
7 56
8.0%
3 56
8.0%
1 43
 
6.1%
6 36
 
5.1%
8 33
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 128
18.3%
- 111
15.9%
5 76
10.9%
2 73
10.4%
4 57
8.1%
7 56
8.0%
3 56
8.0%
1 43
 
6.1%
6 36
 
5.1%
8 33
 
4.7%

소재지면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
79 
0.0
18 
39.78
 
1
146.88
 
1

Length

Max length6
Median length4
Mean length3.8484848
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 79
79.8%
0.0 18
 
18.2%
39.78 1
 
1.0%
146.88 1
 
1.0%

Length

2024-05-11T07:50:37.621414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:38.357297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
79.8%
0.0 18
 
18.2%
39.78 1
 
1.0%
146.88 1
 
1.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

지번주소
Text

MISSING 

Distinct83
Distinct (%)85.6%
Missing2
Missing (%)2.0%
Memory size924.0 B
2024-05-11T07:50:39.011916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length27.051546
Min length17

Characters and Unicode

Total characters2624
Distinct characters131
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

Unique75 ?
Unique (%)77.3%

Sample

1st row서울특별시 강남구 역삼동 ***번지 해천빌딩 ***호
2nd row서울특별시 강남구 포이동 ***-*번지 삼환빌딩 ***호
3rd row서울특별시 강남구 청담동 **-* 번지 삼성빌딩 ***호
4th row서울특별시 강남구 역삼동 ***-*번지 명우빌딩 *층
5th row서울특별시 강남구 대치동 ***-** 번지 동선빌딩 ***호
ValueCountFrequency (%)
서울특별시 96
18.1%
강남구 96
18.1%
72
13.6%
번지 33
 
6.2%
역삼동 32
 
6.0%
층 31
 
5.8%
호 21
 
4.0%
삼성동 19
 
3.6%
논현동 12
 
2.3%
대치동 7
 
1.3%
Other values (79) 111
20.9%
2024-05-11T07:50:40.937442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 520
19.8%
486
18.5%
서 102
 
3.9%
남 101
 
3.8%
동 101
 
3.8%
강 98
 
3.7%
구 98
 
3.7%
시 97
 
3.7%
울 97
 
3.7%
특 96
 
3.7%
Other values (121) 828
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1500
57.2%
Other Punctuation 539
 
20.5%
Space Separator 486
 
18.5%
Dash Punctuation 78
 
3.0%
Uppercase Letter 16
 
0.6%
Decimal Number 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 102
 
6.8%
남 101
 
6.7%
동 101
 
6.7%
강 98
 
6.5%
구 98
 
6.5%
시 97
 
6.5%
울 97
 
6.5%
특 96
 
6.4%
별 96
 
6.4%
삼 57
 
3.8%
Other values (106) 557
37.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
31.2%
P 2
 
12.5%
O 2
 
12.5%
A 2
 
12.5%
S 1
 
6.2%
J 1
 
6.2%
L 1
 
6.2%
K 1
 
6.2%
T 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 520
96.5%
, 19
 
3.5%
Decimal Number
ValueCountFrequency (%)
7 4
80.0%
2 1
 
20.0%
Space Separator
ValueCountFrequency (%)
486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1500
57.2%
Common 1108
42.2%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 102
 
6.8%
남 101
 
6.7%
동 101
 
6.7%
강 98
 
6.5%
구 98
 
6.5%
시 97
 
6.5%
울 97
 
6.5%
특 96
 
6.4%
별 96
 
6.4%
삼 57
 
3.8%
Other values (106) 557
37.1%
Latin
ValueCountFrequency (%)
B 5
31.2%
P 2
 
12.5%
O 2
 
12.5%
A 2
 
12.5%
S 1
 
6.2%
J 1
 
6.2%
L 1
 
6.2%
K 1
 
6.2%
T 1
 
6.2%
Common
ValueCountFrequency (%)
* 520
46.9%
486
43.9%
- 78
 
7.0%
, 19
 
1.7%
7 4
 
0.4%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1500
57.2%
ASCII 1124
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 520
46.3%
486
43.2%
- 78
 
6.9%
, 19
 
1.7%
B 5
 
0.4%
7 4
 
0.4%
P 2
 
0.2%
O 2
 
0.2%
A 2
 
0.2%
S 1
 
0.1%
Other values (5) 5
 
0.4%
Hangul
ValueCountFrequency (%)
서 102
 
6.8%
남 101
 
6.7%
동 101
 
6.7%
강 98
 
6.5%
구 98
 
6.5%
시 97
 
6.5%
울 97
 
6.5%
특 96
 
6.4%
별 96
 
6.4%
삼 57
 
3.8%
Other values (106) 557
37.1%

도로명주소
Text

MISSING 

Distinct72
Distinct (%)87.8%
Missing17
Missing (%)17.2%
Memory size924.0 B
2024-05-11T07:50:41.782221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39.5
Mean length35.402439
Min length24

Characters and Unicode

Total characters2903
Distinct characters148
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

Unique67 ?
Unique (%)81.7%

Sample

1st row서울특별시 강남구 봉은사로***길 ** (삼성동)
2nd row서울특별시 강남구 테헤란로 ***, T*** **층 (대치동)
3rd row서울특별시 강남구 압구정로 ***, 지하*층 B***호 (청담동)
4th row서울특별시 강남구 테헤란로 *** (삼성동)
5th row서울특별시 강남구 학동로 *** (논현동, POBA강남타워 *층, *층)
ValueCountFrequency (%)
83
14.6%
서울특별시 82
14.4%
강남구 82
14.4%
층 47
 
8.3%
호 28
 
4.9%
역삼동 26
 
4.6%
삼성동 17
 
3.0%
논현동 12
 
2.1%
테헤란로**길 12
 
2.1%
테헤란로 11
 
1.9%
Other values (100) 169
29.7%
2024-05-11T07:50:43.437732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
487
 
16.8%
* 476
 
16.4%
, 107
 
3.7%
동 93
 
3.2%
서 88
 
3.0%
남 88
 
3.0%
구 87
 
3.0%
강 85
 
2.9%
로 83
 
2.9%
시 83
 
2.9%
Other values (138) 1226
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1631
56.2%
Other Punctuation 583
 
20.1%
Space Separator 487
 
16.8%
Close Punctuation 82
 
2.8%
Open Punctuation 82
 
2.8%
Uppercase Letter 17
 
0.6%
Dash Punctuation 16
 
0.6%
Decimal Number 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 93
 
5.7%
서 88
 
5.4%
남 88
 
5.4%
구 87
 
5.3%
강 85
 
5.2%
로 83
 
5.1%
시 83
 
5.1%
울 83
 
5.1%
별 82
 
5.0%
특 82
 
5.0%
Other values (118) 777
47.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
35.3%
A 2
 
11.8%
O 2
 
11.8%
P 2
 
11.8%
S 1
 
5.9%
T 1
 
5.9%
J 1
 
5.9%
L 1
 
5.9%
K 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
8 1
25.0%
7 1
25.0%
1 1
25.0%
4 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 476
81.6%
, 107
 
18.4%
Space Separator
ValueCountFrequency (%)
487
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1631
56.2%
Common 1255
43.2%
Latin 17
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 93
 
5.7%
서 88
 
5.4%
남 88
 
5.4%
구 87
 
5.3%
강 85
 
5.2%
로 83
 
5.1%
시 83
 
5.1%
울 83
 
5.1%
별 82
 
5.0%
특 82
 
5.0%
Other values (118) 777
47.6%
Common
ValueCountFrequency (%)
487
38.8%
* 476
37.9%
, 107
 
8.5%
) 82
 
6.5%
( 82
 
6.5%
- 16
 
1.3%
8 1
 
0.1%
7 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
B 6
35.3%
A 2
 
11.8%
O 2
 
11.8%
P 2
 
11.8%
S 1
 
5.9%
T 1
 
5.9%
J 1
 
5.9%
L 1
 
5.9%
K 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1631
56.2%
ASCII 1272
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
487
38.3%
* 476
37.4%
, 107
 
8.4%
) 82
 
6.4%
( 82
 
6.4%
- 16
 
1.3%
B 6
 
0.5%
A 2
 
0.2%
O 2
 
0.2%
P 2
 
0.2%
Other values (10) 10
 
0.8%
Hangul
ValueCountFrequency (%)
동 93
 
5.7%
서 88
 
5.4%
남 88
 
5.4%
구 87
 
5.3%
강 85
 
5.2%
로 83
 
5.1%
시 83
 
5.1%
울 83
 
5.1%
별 82
 
5.0%
특 82
 
5.0%
Other values (118) 777
47.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)70.7%
Missing17
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean6180.9756
Minimum6011
Maximum6376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T07:50:44.111312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6011
5-th percentile6034.15
Q16123.5
median6159.5
Q36244
95-th percentile6366.1
Maximum6376
Range365
Interquartile range (IQR)120.5

Descriptive statistics

Standard deviation96.687734
Coefficient of variation (CV)0.015642795
Kurtosis-0.56393411
Mean6180.9756
Median Absolute Deviation (MAD)69
Skewness0.33283797
Sum506840
Variance9348.5179
MonotonicityNot monotonic
2024-05-11T07:50:44.786523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6244 6
 
6.1%
6158 6
 
6.1%
6113 3
 
3.0%
6376 3
 
3.0%
6134 2
 
2.0%
6132 2
 
2.0%
6098 2
 
2.0%
6163 2
 
2.0%
6236 2
 
2.0%
6159 2
 
2.0%
Other values (48) 52
52.5%
(Missing) 17
 
17.2%
ValueCountFrequency (%)
6011 1
1.0%
6016 1
1.0%
6022 1
1.0%
6028 1
1.0%
6034 1
1.0%
6037 1
1.0%
6038 2
2.0%
6052 1
1.0%
6060 2
2.0%
6069 1
1.0%
ValueCountFrequency (%)
6376 3
3.0%
6373 1
 
1.0%
6367 1
 
1.0%
6349 1
 
1.0%
6343 1
 
1.0%
6341 1
 
1.0%
6336 1
 
1.0%
6312 1
 
1.0%
6310 1
 
1.0%
6307 1
 
1.0%

사업장명
Text

Distinct85
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-05-11T07:50:45.476039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length9.1111111
Min length2

Characters and Unicode

Total characters902
Distinct characters206
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

Unique78 ?
Unique (%)78.8%

Sample

1st row(주)우성과학
2nd row동진상사
3rd row한국라이프게어(주)
4th row(주)에스와이메디케어
5th row주성메디칼
ValueCountFrequency (%)
주식회사 23
 
16.9%
주)비엠에스 6
 
4.4%
주)이마트에브리데이 6
 
4.4%
주)셀러허브 5
 
3.7%
지이헬스케어코리아(주 2
 
1.5%
폴리파크 2
 
1.5%
유한회사 2
 
1.5%
파이브원 2
 
1.5%
에닐트주식회사 2
 
1.5%
봄프렌즈 2
 
1.5%
Other values (83) 84
61.8%
2024-05-11T07:50:46.916804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 73
 
8.1%
( 46
 
5.1%
) 46
 
5.1%
이 44
 
4.9%
37
 
4.1%
사 33
 
3.7%
스 30
 
3.3%
회 29
 
3.2%
에 28
 
3.1%
식 27
 
3.0%
Other values (196) 509
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 741
82.2%
Open Punctuation 46
 
5.1%
Close Punctuation 46
 
5.1%
Space Separator 37
 
4.1%
Uppercase Letter 15
 
1.7%
Decimal Number 9
 
1.0%
Lowercase Letter 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
 
9.9%
이 44
 
5.9%
사 33
 
4.5%
스 30
 
4.0%
회 29
 
3.9%
에 28
 
3.8%
식 27
 
3.6%
브 17
 
2.3%
리 17
 
2.3%
점 15
 
2.0%
Other values (168) 428
57.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
13.3%
G 2
13.3%
S 2
13.3%
U 1
6.7%
T 1
6.7%
E 1
6.7%
P 1
6.7%
X 1
6.7%
L 1
6.7%
A 1
6.7%
Other values (2) 2
13.3%
Lowercase Letter
ValueCountFrequency (%)
l 1
12.5%
a 1
12.5%
c 1
12.5%
i 1
12.5%
d 1
12.5%
e 1
12.5%
m 1
12.5%
n 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
5 2
22.2%
1 2
22.2%
3 1
 
11.1%
9 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 741
82.2%
Common 138
 
15.3%
Latin 23
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
 
9.9%
이 44
 
5.9%
사 33
 
4.5%
스 30
 
4.0%
회 29
 
3.9%
에 28
 
3.8%
식 27
 
3.6%
브 17
 
2.3%
리 17
 
2.3%
점 15
 
2.0%
Other values (168) 428
57.8%
Latin
ValueCountFrequency (%)
C 2
 
8.7%
G 2
 
8.7%
S 2
 
8.7%
U 1
 
4.3%
T 1
 
4.3%
E 1
 
4.3%
P 1
 
4.3%
X 1
 
4.3%
L 1
 
4.3%
A 1
 
4.3%
Other values (10) 10
43.5%
Common
ValueCountFrequency (%)
( 46
33.3%
) 46
33.3%
37
26.8%
2 3
 
2.2%
5 2
 
1.4%
1 2
 
1.4%
3 1
 
0.7%
9 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 741
82.2%
ASCII 161
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 73
 
9.9%
이 44
 
5.9%
사 33
 
4.5%
스 30
 
4.0%
회 29
 
3.9%
에 28
 
3.8%
식 27
 
3.6%
브 17
 
2.3%
리 17
 
2.3%
점 15
 
2.0%
Other values (168) 428
57.8%
ASCII
ValueCountFrequency (%)
( 46
28.6%
) 46
28.6%
37
23.0%
2 3
 
1.9%
C 2
 
1.2%
G 2
 
1.2%
S 2
 
1.2%
5 2
 
1.2%
1 2
 
1.2%
3 1
 
0.6%
Other values (18) 18
 
11.2%

최종수정일자
Date

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2003-11-20 09:46:02
Maximum2024-05-01 13:42:43
2024-05-11T07:50:47.563448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:50:48.302496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
I
71 
U
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 71
71.7%
U 28
 
28.3%

Length

2024-05-11T07:50:48.933653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:49.448117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 71
71.7%
u 28
 
28.3%

데이터갱신일자
Date

Distinct58
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T07:50:49.929189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:50:50.513499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)81.5%
Missing7
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean204208.54
Minimum201757.49
Maximum215809.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T07:50:51.085535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201757.49
5-th percentile202040.52
Q1202844.81
median203526.01
Q3204798.42
95-th percentile208530.35
Maximum215809.98
Range14052.481
Interquartile range (IQR)1953.6135

Descriptive statistics

Standard deviation2125.4521
Coefficient of variation (CV)0.010408243
Kurtosis9.1565216
Mean204208.54
Median Absolute Deviation (MAD)984.07616
Skewness2.4044738
Sum18787186
Variance4517546.5
MonotonicityNot monotonic
2024-05-11T07:50:51.555125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204798.418909548 6
 
6.1%
202844.805360798 6
 
6.1%
202382.111573103 3
 
3.0%
208530.352121062 2
 
2.0%
204681.332375585 2
 
2.0%
204746.52560931 2
 
2.0%
202541.936344486 2
 
2.0%
203090.626693466 2
 
2.0%
204308.797361501 1
 
1.0%
203713.787419605 1
 
1.0%
Other values (65) 65
65.7%
(Missing) 7
 
7.1%
ValueCountFrequency (%)
201757.494098748 1
 
1.0%
201788.631995716 1
 
1.0%
201824.488373252 1
 
1.0%
201871.583919781 1
 
1.0%
201938.162932107 1
 
1.0%
202124.262977683 1
 
1.0%
202161.020617773 1
 
1.0%
202382.111573103 3
3.0%
202541.936344486 2
2.0%
202558.966746035 1
 
1.0%
ValueCountFrequency (%)
215809.975356468 1
1.0%
209052.072465426 1
1.0%
209009.86408188 1
1.0%
208882.245870174 1
1.0%
208530.352121062 2
2.0%
208334.06570268 1
1.0%
207748.487100942 1
1.0%
207112.195695469 1
1.0%
206970.919291372 1
1.0%
205732.722545794 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)81.5%
Missing7
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean444446.87
Minimum438371.11
Maximum447145.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T07:50:52.000273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438371.11
5-th percentile441275.04
Q1443719.48
median444694.68
Q3445428.26
95-th percentile446666.72
Maximum447145.99
Range8774.875
Interquartile range (IQR)1708.7752

Descriptive statistics

Standard deviation1566.4473
Coefficient of variation (CV)0.0035244871
Kurtosis2.1855283
Mean444446.87
Median Absolute Deviation (MAD)896.38663
Skewness-1.0961582
Sum40889112
Variance2453757
MonotonicityNot monotonic
2024-05-11T07:50:52.610740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445038.061676561 6
 
6.1%
443719.481843616 6
 
6.1%
445428.257061143 3
 
3.0%
440701.115748256 2
 
2.0%
445621.144386783 2
 
2.0%
444968.02756788 2
 
2.0%
444085.407169519 2
 
2.0%
445882.278020751 2
 
2.0%
444932.157842043 1
 
1.0%
445532.838648209 1
 
1.0%
Other values (65) 65
65.7%
(Missing) 7
 
7.1%
ValueCountFrequency (%)
438371.11105825 1
1.0%
440405.743740801 1
1.0%
440701.115748256 2
2.0%
441086.596187726 1
1.0%
441429.225000001 1
1.0%
441675.495465839 1
1.0%
441809.561685082 1
1.0%
442601.789760193 1
1.0%
442797.138150563 1
1.0%
442872.160579339 1
1.0%
ValueCountFrequency (%)
447145.986045698 1
1.0%
447126.299238418 1
1.0%
447005.981863766 1
1.0%
446862.339554608 1
1.0%
446799.301808945 1
1.0%
446558.243526189 1
1.0%
446421.32 1
1.0%
446374.647464072 1
1.0%
446282.45446652 1
1.0%
446183.368328818 1
1.0%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
50 
동물용의료용구판매업
49 

Length

Max length10
Median length4
Mean length6.969697
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
50.5%
동물용의료용구판매업 49
49.5%

Length

2024-05-11T07:50:53.031874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:53.331035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
50.5%
동물용의료용구판매업 49
49.5%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
50 
L00
32 
000
17 

Length

Max length4
Median length4
Mean length3.5050505
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd row000
3rd rowL00
4th rowL00
5th row000

Common Values

ValueCountFrequency (%)
<NA> 50
50.5%
L00 32
32.3%
000 17
 
17.2%

Length

2024-05-11T07:50:53.660691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:54.026253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
50.5%
l00 32
32.3%
000 17
 
17.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
91 
0
 
8

Length

Max length4
Median length4
Mean length3.7575758
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 91
91.9%
0 8
 
8.1%

Length

2024-05-11T07:50:54.355599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:54.677372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
91.9%
0 8
 
8.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0322000032200000131989000119890218<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강남구 역삼동 ***번지 해천빌딩 ***호<NA><NA>(주)우성과학2007-07-25 11:08:50I2018-08-31 23:59:59.0<NA>202558.966746443605.422218동물용의료용구판매업<NA><NA>L00<NA>
1322000032200000131995000119950607<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강남구 포이동 ***-*번지 삼환빌딩 ***호<NA><NA>동진상사2007-07-25 11:13:54I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
2322000032200000131996000119960528<NA>3폐업2폐업20070322<NA><NA><NA><NA>0.0<NA>서울특별시 강남구 청담동 **-* 번지 삼성빌딩 ***호<NA><NA>한국라이프게어(주)2007-03-22 16:47:08I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>L00<NA>
3322000032200000131996000219960916<NA>3폐업2폐업20070528<NA><NA><NA>02-538-52000.0<NA>서울특별시 강남구 역삼동 ***-*번지 명우빌딩 *층<NA><NA>(주)에스와이메디케어2007-05-28 09:29:59I2018-08-31 23:59:59.0<NA>203241.200112443708.650396동물용의료용구판매업<NA><NA>L00<NA>
4322000032200000131996000319961031<NA>3폐업2폐업20070529<NA><NA><NA><NA>0.0<NA>서울특별시 강남구 대치동 ***-** 번지 동선빌딩 ***호<NA><NA>주성메디칼2007-05-29 15:11:45I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
5322000032200000131997000119970524<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강남구 삼성동 ***-*번지 경인빌딩 ***호<NA><NA>대선메디칼상사2007-07-25 11:18:29I2018-08-31 23:59:59.0<NA>205711.214362445611.034751동물용의료용구판매업<NA><NA>000<NA>
6322000032200000131998000119980725<NA>3폐업2폐업20180213<NA><NA><NA><NA>0.0<NA>서울특별시 강남구 역삼동 ***-** 번지<NA><NA>상정상사2018-02-14 11:00:06I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
7322000032200000131999000119990115<NA>3폐업2폐업20100705<NA><NA><NA><NA>0.0<NA>서울특별시 강남구 신사동 ***번지 영화빌딩 *층<NA><NA>영인과학2010-07-05 14:03:28I2018-08-31 23:59:59.0<NA>201938.162932446799.301809동물용의료용구판매업<NA><NA>L00<NA>
8322000032200000132000000120000318<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강남구 대치동 ****-*번지 소남빌딩 *층<NA><NA>일천상역(주)2007-07-25 11:22:21I2018-08-31 23:59:59.0<NA>205664.855322445049.257588동물용의료용구판매업<NA><NA>L00<NA>
9322000032200000132001000120010723<NA>3폐업2폐업20031120<NA><NA><NA><NA>0.0<NA>서울특별시 강남구 포이동 ***-* 번지 가람빌딩 ***호<NA><NA>(주)장백베트컴2003-11-20 09:46:02I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
8932200003220000013202300032023-03-15<NA>1영업/정상0정상<NA><NA><NA><NA>02-6953-4952<NA><NA>서울특별시 강남구 논현동 ***-* 지하*층 B**-*호서울특별시 강남구 학동로**길 **, 지하*층 B**-*호 (논현동)6113주식회사 홀썸브랜드(코페르니쿠스지점)2023-03-16 09:00:46I2022-12-02 23:08:00.0<NA>202382.111573445428.257061<NA><NA><NA><NA><NA>
9032200003220000013202300042023-03-15<NA>1영업/정상0정상<NA><NA><NA><NA>02-6953-4952<NA><NA>서울특별시 강남구 논현동 ***-* 지하*층 B**-*호서울특별시 강남구 학동로**길 **, 지하*층 B**-*호 (논현동)6113주식회사 홀썸브랜드(라마누잔지점)2023-05-16 15:28:53U2022-12-04 23:08:00.0<NA>202382.111573445428.257061<NA><NA><NA><NA><NA>
9132200003220000013202300052023-05-16<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***서울특별시 강남구 논현로***길 **, 엘스센터 ****호 (신사동)6037밝은몰2023-05-16 16:07:06I2022-12-04 23:08:00.0<NA>202124.262978446374.647464<NA><NA><NA><NA><NA>
9232200003220000013202300062023-06-30<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-** 삼정빌딩 B***호서울특별시 강남구 논현로 ***, 삼정빌딩 B***호 (역삼동)6126(주)에이오에이코리아2023-06-30 17:16:04I2022-12-07 00:02:00.0<NA>202971.404192444802.761942<NA><NA><NA><NA><NA>
9332200003220000013202300072023-11-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 일원동 *** 남경빌딩서울특별시 강남구 일원로 **, 남경빌딩 *층 ****호 (일원동)6343에레즈2023-11-20 13:31:49I2022-10-31 22:02:00.0<NA>207112.195695443163.101895<NA><NA><NA><NA><NA>
9432200003220000013202300082023-11-24<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 **-* 파모소빌딩서울특별시 강남구 도산대로 ***, 파모소빌딩 *층 (청담동)6016주식회사 케어마일2023-11-28 15:40:00U2022-10-31 21:00:00.0<NA>203693.316311446862.339555<NA><NA><NA><NA><NA>
9532200003220000013202300092023-11-27<NA>1영업/정상0정상<NA><NA><NA><NA>02-317-2129<NA><NA>서울특별시 강남구 역삼동 *** 센터필드서울특별시 강남구 테헤란로 ***, 센터필드 **층 (역삼동)6142(주)에스에스지닷컴2023-11-27 10:35:19I2022-10-31 22:09:00.0<NA>203599.062772444556.062267<NA><NA><NA><NA><NA>
9632200003220000013202300102023-11-29<NA>1영업/정상0정상<NA><NA><NA><NA>1661-9555<NA><NA>서울특별시 강남구 수서동 *** 수서빌딩서울특별시 강남구 광평로 ***, 수서빌딩 **,**층 (수서동)6349써모피셔사이언티픽솔루션스 유한회사2023-11-29 10:39:09I2022-11-02 00:02:00.0<NA>209009.864082442872.160579<NA><NA><NA><NA><NA>
9732200003220000013202400012024-02-21<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 **** 한영빌딩서울특별시 강남구 논현로 **, 한영빌딩 *층 (개포동)6312주식회사 메이시안2024-02-22 17:54:47I2023-12-01 22:04:00.0<NA>204156.345441429.225<NA><NA><NA><NA><NA>
9832200003220000013202400022024-05-01<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 ****-* 지성빌딩서울특별시 강남구 논현로 **, 지성빌딩 ***호 (개포동)6307다온2024-05-01 13:42:43I2023-12-05 00:03:00.0<NA>203952.774672441675.495466<NA><NA><NA><NA><NA>