Overview

Dataset statistics

Number of variables30
Number of observations74
Missing cells740
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.7 KiB
Average record size in memory258.8 B

Variable types

Categorical9
Numeric5
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-16562/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (54.8%)Imbalance
인허가취소일자 has 74 (100.0%) missing valuesMissing
폐업일자 has 41 (55.4%) missing valuesMissing
휴업시작일자 has 74 (100.0%) missing valuesMissing
휴업종료일자 has 74 (100.0%) missing valuesMissing
재개업일자 has 74 (100.0%) missing valuesMissing
전화번호 has 26 (35.1%) missing valuesMissing
소재지면적 has 49 (66.2%) missing valuesMissing
소재지우편번호 has 74 (100.0%) missing valuesMissing
도로명주소 has 6 (8.1%) missing valuesMissing
도로명우편번호 has 14 (18.9%) missing valuesMissing
업태구분명 has 74 (100.0%) missing valuesMissing
좌표정보(X) has 6 (8.1%) missing valuesMissing
좌표정보(Y) has 6 (8.1%) missing valuesMissing
축산물가공업구분명 has 74 (100.0%) missing valuesMissing
축산일련번호 has 74 (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
소재지면적 has 11 (14.9%) zerosZeros

Reproduction

Analysis started2024-05-11 07:00:23.984705
Analysis finished2024-05-11 07:00:24.672663
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
3210000
74 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 74
100.0%

Length

2024-05-11T16:00:24.759527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:24.879750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 74
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.21 × 1017
Minimum3.21 × 1017
Maximum3.21 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-05-11T16:00:25.004974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.21 × 1017
5-th percentile3.21 × 1017
Q13.21 × 1017
median3.21 × 1017
Q33.21 × 1017
95-th percentile3.21 × 1017
Maximum3.21 × 1017
Range360002
Interquartile range (IQR)97536

Descriptive statistics

Standard deviation86202.345
Coefficient of variation (CV)2.6854313 × 10-13
Kurtosis0.79886546
Mean3.21 × 1017
Median Absolute Deviation (MAD)20032
Skewness-1.3332621
Sum5.307256 × 1018
Variance7.4308442 × 109
MonotonicityStrictly increasing
2024-05-11T16:00:25.191741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321000001319880001 1
 
1.4%
321000001320220011 1
 
1.4%
321000001320220009 1
 
1.4%
321000001320220008 1
 
1.4%
321000001320220007 1
 
1.4%
321000001320220006 1
 
1.4%
321000001320220005 1
 
1.4%
321000001320220004 1
 
1.4%
321000001320220003 1
 
1.4%
321000001320220002 1
 
1.4%
Other values (64) 64
86.5%
ValueCountFrequency (%)
321000001319880001 1
1.4%
321000001319950001 1
1.4%
321000001319980001 1
1.4%
321000001319990001 1
1.4%
321000001319990002 1
1.4%
321000001319990003 1
1.4%
321000001320000001 1
1.4%
321000001320000002 1
1.4%
321000001320010001 1
1.4%
321000001320020001 1
1.4%
ValueCountFrequency (%)
321000001320240003 1
1.4%
321000001320240002 1
1.4%
321000001320230004 1
1.4%
321000001320230003 1
1.4%
321000001320230002 1
1.4%
321000001320230001 1
1.4%
321000001320220022 1
1.4%
321000001320220021 1
1.4%
321000001320220020 1
1.4%
321000001320220019 1
1.4%

인허가일자
Date

Distinct63
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum1988-11-05 00:00:00
Maximum2024-02-27 00:00:00
2024-05-11T16:00:25.415692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:25.603588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
1
39 
3
33 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 39
52.7%
3 33
44.6%
4 2
 
2.7%

Length

2024-05-11T16:00:25.827009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:25.992730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 39
52.7%
3 33
44.6%
4 2
 
2.7%

영업상태명
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
영업/정상
39 
폐업
33 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.9054054
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 39
52.7%
폐업 33
44.6%
취소/말소/만료/정지/중지 2
 
2.7%

Length

2024-05-11T16:00:26.179090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:26.343112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 39
52.7%
폐업 33
44.6%
취소/말소/만료/정지/중지 2
 
2.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
0
39 
2
33 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 39
52.7%
2 33
44.6%
4 2
 
2.7%

Length

2024-05-11T16:00:26.496196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:26.662402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
52.7%
2 33
44.6%
4 2
 
2.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
정상
39 
폐업
33 
말소
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 39
52.7%
폐업 33
44.6%
말소 2
 
2.7%

Length

2024-05-11T16:00:26.867810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:27.067769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 39
52.7%
폐업 33
44.6%
말소 2
 
2.7%

폐업일자
Date

MISSING 

Distinct30
Distinct (%)90.9%
Missing41
Missing (%)55.4%
Memory size724.0 B
Minimum2003-05-29 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T16:00:27.225153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:27.398136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

전화번호
Text

MISSING 

Distinct44
Distinct (%)91.7%
Missing26
Missing (%)35.1%
Memory size724.0 B
2024-05-11T16:00:27.700184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.375
Min length6

Characters and Unicode

Total characters498
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 (%)87.5%

Sample

1st row588-9371
2nd row587-1388
3rd row547-0672
4th row597-0507
5th row3473-2332
ValueCountFrequency (%)
02-6949-3015 3
 
6.2%
02-573-9669 3
 
6.2%
02-6953-2360 1
 
2.1%
02-3450-7000 1
 
2.1%
02-3443-1824 1
 
2.1%
070-8064-2794 1
 
2.1%
02-583-7041 1
 
2.1%
02-6949-3038 1
 
2.1%
070-8845-7309 1
 
2.1%
070-8676-1711 1
 
2.1%
Other values (34) 34
70.8%
2024-05-11T16:00:28.256261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74
14.9%
- 74
14.9%
2 57
11.4%
5 48
9.6%
3 45
9.0%
7 44
8.8%
9 37
7.4%
6 32
6.4%
4 32
6.4%
1 31
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 424
85.1%
Dash Punctuation 74
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
17.5%
2 57
13.4%
5 48
11.3%
3 45
10.6%
7 44
10.4%
9 37
8.7%
6 32
7.5%
4 32
7.5%
1 31
7.3%
8 24
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 498
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 74
14.9%
- 74
14.9%
2 57
11.4%
5 48
9.6%
3 45
9.0%
7 44
8.8%
9 37
7.4%
6 32
6.4%
4 32
6.4%
1 31
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 498
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74
14.9%
- 74
14.9%
2 57
11.4%
5 48
9.6%
3 45
9.0%
7 44
8.8%
9 37
7.4%
6 32
6.4%
4 32
6.4%
1 31
6.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)52.0%
Missing49
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean3451.5156
Minimum0
Maximum81117.28
Zeros11
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-05-11T16:00:28.462715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.64
Q3200
95-th percentile2793.936
Maximum81117.28
Range81117.28
Interquartile range (IQR)200

Descriptive statistics

Standard deviation16194.384
Coefficient of variation (CV)4.691963
Kurtosis24.902043
Mean3451.5156
Median Absolute Deviation (MAD)17.64
Skewness4.9862483
Sum86287.89
Variance2.6225806 × 108
MonotonicityNot monotonic
2024-05-11T16:00:28.641941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 11
 
14.9%
219.98 3
 
4.1%
71.25 1
 
1.4%
76.0 1
 
1.4%
147.96 1
 
1.4%
200.0 1
 
1.4%
56.0 1
 
1.4%
323.6 1
 
1.4%
17.64 1
 
1.4%
7.5 1
 
1.4%
Other values (3) 3
 
4.1%
(Missing) 49
66.2%
ValueCountFrequency (%)
0.0 11
14.9%
7.5 1
 
1.4%
17.64 1
 
1.4%
56.0 1
 
1.4%
71.25 1
 
1.4%
76.0 1
 
1.4%
147.96 1
 
1.4%
199.2 1
 
1.4%
200.0 1
 
1.4%
219.98 3
 
4.1%
ValueCountFrequency (%)
81117.28 1
 
1.4%
3411.52 1
 
1.4%
323.6 1
 
1.4%
219.98 3
4.1%
200.0 1
 
1.4%
199.2 1
 
1.4%
147.96 1
 
1.4%
76.0 1
 
1.4%
71.25 1
 
1.4%
56.0 1
 
1.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

지번주소
Text

Distinct68
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-05-11T16:00:29.011869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length27.391892
Min length19

Characters and Unicode

Total characters2027
Distinct characters133
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

Unique64 ?
Unique (%)86.5%

Sample

1st row서울특별시 서초구 서초동 ****-*번지 *층
2nd row서울특별시 서초구 원지동 ***-* 솔향빌딩 *층 *호
3rd row서울특별시 서초구 잠원동 **-* 번지 *층
4th row서울특별시 서초구 서초동 ****-** 번지 이차B *층
5th row서울특별시 서초구 서초동 ****-**번지 양우빌딩
ValueCountFrequency (%)
서울특별시 74
18.6%
서초구 74
18.6%
49
12.3%
서초동 31
 
7.8%
번지 29
 
7.3%
호 17
 
4.3%
양재동 16
 
4.0%
방배동 8
 
2.0%
반포동 7
 
1.8%
잠원동 7
 
1.8%
Other values (59) 85
21.4%
2024-05-11T16:00:29.705586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 401
19.8%
363
17.9%
서 183
 
9.0%
초 109
 
5.4%
동 78
 
3.8%
구 75
 
3.7%
특 74
 
3.7%
별 74
 
3.7%
시 74
 
3.7%
울 74
 
3.7%
Other values (123) 522
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1177
58.1%
Other Punctuation 401
 
19.8%
Space Separator 363
 
17.9%
Dash Punctuation 64
 
3.2%
Uppercase Letter 16
 
0.8%
Lowercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 183
15.5%
초 109
 
9.3%
동 78
 
6.6%
구 75
 
6.4%
특 74
 
6.3%
별 74
 
6.3%
시 74
 
6.3%
울 74
 
6.3%
지 36
 
3.1%
딩 36
 
3.1%
Other values (104) 364
30.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
18.8%
A 2
12.5%
K 2
12.5%
H 1
 
6.2%
S 1
 
6.2%
R 1
 
6.2%
P 1
 
6.2%
I 1
 
6.2%
N 1
 
6.2%
T 1
 
6.2%
Other values (2) 2
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 2
33.3%
h 1
16.7%
t 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 401
100.0%
Space Separator
ValueCountFrequency (%)
363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1177
58.1%
Common 828
40.8%
Latin 22
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 183
15.5%
초 109
 
9.3%
동 78
 
6.6%
구 75
 
6.4%
특 74
 
6.3%
별 74
 
6.3%
시 74
 
6.3%
울 74
 
6.3%
지 36
 
3.1%
딩 36
 
3.1%
Other values (104) 364
30.9%
Latin
ValueCountFrequency (%)
B 3
13.6%
e 2
 
9.1%
A 2
 
9.1%
s 2
 
9.1%
K 2
 
9.1%
H 1
 
4.5%
S 1
 
4.5%
R 1
 
4.5%
P 1
 
4.5%
I 1
 
4.5%
Other values (6) 6
27.3%
Common
ValueCountFrequency (%)
* 401
48.4%
363
43.8%
- 64
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1177
58.1%
ASCII 850
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 401
47.2%
363
42.7%
- 64
 
7.5%
B 3
 
0.4%
e 2
 
0.2%
A 2
 
0.2%
s 2
 
0.2%
K 2
 
0.2%
H 1
 
0.1%
S 1
 
0.1%
Other values (9) 9
 
1.1%
Hangul
ValueCountFrequency (%)
서 183
15.5%
초 109
 
9.3%
동 78
 
6.6%
구 75
 
6.4%
특 74
 
6.3%
별 74
 
6.3%
시 74
 
6.3%
울 74
 
6.3%
지 36
 
3.1%
딩 36
 
3.1%
Other values (104) 364
30.9%

도로명주소
Text

MISSING 

Distinct61
Distinct (%)89.7%
Missing6
Missing (%)8.1%
Memory size724.0 B
2024-05-11T16:00:30.108470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41.5
Mean length34.897059
Min length21

Characters and Unicode

Total characters2373
Distinct characters154
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

Unique58 ?
Unique (%)85.3%

Sample

1st row서울특별시 서초구 명달로 **, *층 (서초동)
2nd row서울특별시 서초구 반포대로**길 ** (서초동,양우빌딩)
3rd row서울특별시 서초구 바우뫼로 ** (양재동,우성성보프라자 ***호)
4th row서울특별시 서초구 서초중앙로**길 **-** (서초동,화니빌딩 *층)
5th row서울특별시 서초구 반포대로**길 ** (서초동,유승빌딩 *층)
ValueCountFrequency (%)
서울특별시 68
14.8%
서초구 68
14.8%
65
14.1%
층 31
 
6.7%
호 27
 
5.9%
서초동 26
 
5.6%
양재동 13
 
2.8%
강남대로**길 8
 
1.7%
반포동 7
 
1.5%
방배동 6
 
1.3%
Other values (92) 142
30.8%
2024-05-11T16:00:30.720567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
393
16.6%
* 374
15.8%
서 182
 
7.7%
초 113
 
4.8%
동 73
 
3.1%
구 69
 
2.9%
별 68
 
2.9%
( 68
 
2.9%
울 68
 
2.9%
시 68
 
2.9%
Other values (144) 897
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1371
57.8%
Other Punctuation 440
 
18.5%
Space Separator 393
 
16.6%
Open Punctuation 68
 
2.9%
Close Punctuation 68
 
2.9%
Uppercase Letter 16
 
0.7%
Dash Punctuation 11
 
0.5%
Lowercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 182
 
13.3%
초 113
 
8.2%
동 73
 
5.3%
구 69
 
5.0%
별 68
 
5.0%
울 68
 
5.0%
시 68
 
5.0%
특 68
 
5.0%
로 65
 
4.7%
길 40
 
2.9%
Other values (122) 557
40.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
18.8%
B 2
12.5%
K 2
12.5%
S 1
 
6.2%
H 1
 
6.2%
L 1
 
6.2%
N 1
 
6.2%
G 1
 
6.2%
I 1
 
6.2%
R 1
 
6.2%
Other values (2) 2
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 2
33.3%
t 1
16.7%
h 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 374
85.0%
, 66
 
15.0%
Space Separator
ValueCountFrequency (%)
393
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1371
57.8%
Common 980
41.3%
Latin 22
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 182
 
13.3%
초 113
 
8.2%
동 73
 
5.3%
구 69
 
5.0%
별 68
 
5.0%
울 68
 
5.0%
시 68
 
5.0%
특 68
 
5.0%
로 65
 
4.7%
길 40
 
2.9%
Other values (122) 557
40.6%
Latin
ValueCountFrequency (%)
A 3
13.6%
B 2
 
9.1%
K 2
 
9.1%
e 2
 
9.1%
s 2
 
9.1%
S 1
 
4.5%
H 1
 
4.5%
L 1
 
4.5%
N 1
 
4.5%
G 1
 
4.5%
Other values (6) 6
27.3%
Common
ValueCountFrequency (%)
393
40.1%
* 374
38.2%
( 68
 
6.9%
) 68
 
6.9%
, 66
 
6.7%
- 11
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1371
57.8%
ASCII 1002
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
393
39.2%
* 374
37.3%
( 68
 
6.8%
) 68
 
6.8%
, 66
 
6.6%
- 11
 
1.1%
A 3
 
0.3%
B 2
 
0.2%
K 2
 
0.2%
e 2
 
0.2%
Other values (12) 13
 
1.3%
Hangul
ValueCountFrequency (%)
서 182
 
13.3%
초 113
 
8.2%
동 73
 
5.3%
구 69
 
5.0%
별 68
 
5.0%
울 68
 
5.0%
시 68
 
5.0%
특 68
 
5.0%
로 65
 
4.7%
길 40
 
2.9%
Other values (122) 557
40.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)75.0%
Missing14
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean6663.5
Minimum6524
Maximum6800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-05-11T16:00:30.924742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6524
5-th percentile6530.95
Q16607.5
median6650.5
Q36755.25
95-th percentile6789
Maximum6800
Range276
Interquartile range (IQR)147.75

Descriptive statistics

Standard deviation88.914261
Coefficient of variation (CV)0.013343477
Kurtosis-1.2520757
Mean6663.5
Median Absolute Deviation (MAD)79
Skewness-0.0034589617
Sum399810
Variance7905.7458
MonotonicityNot monotonic
2024-05-11T16:00:31.128332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
6542 6
 
8.1%
6789 3
 
4.1%
6650 3
 
4.1%
6619 3
 
4.1%
6729 2
 
2.7%
6775 2
 
2.7%
6651 2
 
2.7%
6626 2
 
2.7%
6527 1
 
1.4%
6703 1
 
1.4%
Other values (35) 35
47.3%
(Missing) 14
 
18.9%
ValueCountFrequency (%)
6524 1
 
1.4%
6527 1
 
1.4%
6530 1
 
1.4%
6531 1
 
1.4%
6532 1
 
1.4%
6542 6
8.1%
6547 1
 
1.4%
6571 1
 
1.4%
6595 1
 
1.4%
6603 1
 
1.4%
ValueCountFrequency (%)
6800 1
 
1.4%
6792 1
 
1.4%
6789 3
4.1%
6787 1
 
1.4%
6782 1
 
1.4%
6781 1
 
1.4%
6778 1
 
1.4%
6775 2
2.7%
6771 1
 
1.4%
6766 1
 
1.4%

사업장명
Text

Distinct69
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-05-11T16:00:31.594807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length9.2297297
Min length2

Characters and Unicode

Total characters683
Distinct characters183
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

Unique67 ?
Unique (%)90.5%

Sample

1st row세중무역상사
2nd row(주)중앙진테크
3rd row한국 IMV
4th row(주)중앙화성
5th row(주)이우과학교역
ValueCountFrequency (%)
주식회사 14
 
13.0%
주)이마트에브리데이 10
 
9.3%
펫닥 4
 
3.7%
베트컴코리아(주 3
 
2.8%
양재점 2
 
1.9%
홀썸브랜드(라마누잔지점 1
 
0.9%
리더스원점 1
 
0.9%
심콩캣 1
 
0.9%
풀문 1
 
0.9%
주)에스에스씨엠 1
 
0.9%
Other values (70) 70
64.8%
2024-05-11T16:00:32.247238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 54
 
7.9%
( 40
 
5.9%
) 40
 
5.9%
이 36
 
5.3%
34
 
5.0%
리 23
 
3.4%
사 17
 
2.5%
트 15
 
2.2%
에 15
 
2.2%
식 14
 
2.0%
Other values (173) 395
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 542
79.4%
Open Punctuation 40
 
5.9%
Close Punctuation 40
 
5.9%
Space Separator 34
 
5.0%
Lowercase Letter 19
 
2.8%
Uppercase Letter 8
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 54
 
10.0%
이 36
 
6.6%
리 23
 
4.2%
사 17
 
3.1%
트 15
 
2.8%
에 15
 
2.8%
식 14
 
2.6%
스 14
 
2.6%
아 14
 
2.6%
마 14
 
2.6%
Other values (153) 326
60.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
21.1%
r 3
15.8%
h 2
10.5%
t 2
10.5%
a 2
10.5%
g 1
 
5.3%
n 1
 
5.3%
i 1
 
5.3%
y 1
 
5.3%
v 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
25.0%
S 2
25.0%
V 1
12.5%
M 1
12.5%
I 1
12.5%
C 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
79.4%
Common 114
 
16.7%
Latin 27
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 54
 
10.0%
이 36
 
6.6%
리 23
 
4.2%
사 17
 
3.1%
트 15
 
2.8%
에 15
 
2.8%
식 14
 
2.6%
스 14
 
2.6%
아 14
 
2.6%
마 14
 
2.6%
Other values (153) 326
60.1%
Latin
ValueCountFrequency (%)
e 4
14.8%
r 3
11.1%
h 2
 
7.4%
t 2
 
7.4%
a 2
 
7.4%
T 2
 
7.4%
S 2
 
7.4%
g 1
 
3.7%
n 1
 
3.7%
i 1
 
3.7%
Other values (7) 7
25.9%
Common
ValueCountFrequency (%)
( 40
35.1%
) 40
35.1%
34
29.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 542
79.4%
ASCII 141
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 54
 
10.0%
이 36
 
6.6%
리 23
 
4.2%
사 17
 
3.1%
트 15
 
2.8%
에 15
 
2.8%
식 14
 
2.6%
스 14
 
2.6%
아 14
 
2.6%
마 14
 
2.6%
Other values (153) 326
60.1%
ASCII
ValueCountFrequency (%)
( 40
28.4%
) 40
28.4%
34
24.1%
e 4
 
2.8%
r 3
 
2.1%
h 2
 
1.4%
t 2
 
1.4%
a 2
 
1.4%
T 2
 
1.4%
S 2
 
1.4%
Other values (10) 10
 
7.1%

최종수정일자
Date

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2002-12-17 10:56:28
Maximum2024-04-25 15:00:46
2024-05-11T16:00:32.489960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:32.733922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
I
42 
U
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 42
56.8%
U 32
43.2%

Length

2024-05-11T16:00:33.255084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:33.421290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 42
56.8%
u 32
43.2%

데이터갱신일자
Date

Distinct46
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:03:00
2024-05-11T16:00:33.596951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:33.811151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)82.4%
Missing6
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean201898.87
Minimum198465.51
Maximum205219.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-05-11T16:00:34.033205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198465.51
5-th percentile199320.24
Q1201176.16
median201907.19
Q3202732.18
95-th percentile203936.34
Maximum205219.28
Range6753.7756
Interquartile range (IQR)1556.0223

Descriptive statistics

Standard deviation1430.8799
Coefficient of variation (CV)0.0070871118
Kurtosis0.11879427
Mean201898.87
Median Absolute Deviation (MAD)731.03292
Skewness-0.23848768
Sum13729123
Variance2047417.2
MonotonicityNot monotonic
2024-05-11T16:00:34.241242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201907.192235434 6
 
8.1%
201176.159311432 3
 
4.1%
203899.648568982 3
 
4.1%
202524.096001449 2
 
2.7%
202732.181651444 2
 
2.7%
202103.696247363 2
 
2.7%
200958.146177387 1
 
1.4%
201194.57518776 1
 
1.4%
202245.377899369 1
 
1.4%
202332.852930998 1
 
1.4%
Other values (46) 46
62.2%
(Missing) 6
 
8.1%
ValueCountFrequency (%)
198465.506849579 1
1.4%
198511.665525642 1
1.4%
198628.119010586 1
1.4%
199156.18106379 1
1.4%
199624.929068646 1
1.4%
199863.640575162 1
1.4%
199912.465022093 1
1.4%
200247.455779224 1
1.4%
200300.406596622 1
1.4%
200570.869384706 1
1.4%
ValueCountFrequency (%)
205219.282487819 1
 
1.4%
204043.37 1
 
1.4%
204005.084711271 1
 
1.4%
203956.096638336 1
 
1.4%
203899.648568982 3
4.1%
203865.709970943 1
 
1.4%
203825.862435034 1
 
1.4%
203817.645288426 1
 
1.4%
203712.837776 1
 
1.4%
203630.238293919 1
 
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)82.4%
Missing6
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean442794.8
Minimum439034.85
Maximum445998.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-05-11T16:00:34.442285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439034.85
5-th percentile440229.07
Q1441657.52
median442858.63
Q3443786.08
95-th percentile445435.28
Maximum445998.07
Range6963.225
Interquartile range (IQR)2128.5612

Descriptive statistics

Standard deviation1565.5913
Coefficient of variation (CV)0.0035357039
Kurtosis-0.34696409
Mean442794.8
Median Absolute Deviation (MAD)1050.6807
Skewness-0.093893055
Sum30110046
Variance2451076
MonotonicityNot monotonic
2024-05-11T16:00:34.659538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444731.440860365 6
 
8.1%
442917.346139861 3
 
4.1%
440629.337291334 3
 
4.1%
443449.99298641 2
 
2.7%
442917.873697268 2
 
2.7%
443834.981395661 2
 
2.7%
442749.959049103 1
 
1.4%
443304.838805011 1
 
1.4%
442987.986999742 1
 
1.4%
443293.183512728 1
 
1.4%
Other values (46) 46
62.2%
(Missing) 6
 
8.1%
ValueCountFrequency (%)
439034.848861341 1
 
1.4%
439611.330612069 1
 
1.4%
440136.781183797 1
 
1.4%
440152.039102831 1
 
1.4%
440372.135898289 1
 
1.4%
440629.337291334 3
4.1%
440753.038269237 1
 
1.4%
440963.759050916 1
 
1.4%
441127.316677359 1
 
1.4%
441170.049891434 1
 
1.4%
ValueCountFrequency (%)
445998.07382598 1
 
1.4%
445802.100265801 1
 
1.4%
445707.597252833 1
 
1.4%
445478.801976088 1
 
1.4%
445354.452726228 1
 
1.4%
444731.440860365 6
8.1%
444524.211587165 1
 
1.4%
444462.626124882 1
 
1.4%
443997.895759362 1
 
1.4%
443834.981395661 2
 
2.7%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
동물용의료용구판매업
42 
<NA>
32 

Length

Max length10
Median length10
Mean length7.4054054
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 42
56.8%
<NA> 32
43.2%

Length

2024-05-11T16:00:34.958608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:35.177843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 42
56.8%
na 32
43.2%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
<NA>
32 
000
21 
L00
21 

Length

Max length4
Median length3
Mean length3.4324324
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
43.2%
000 21
28.4%
L00 21
28.4%

Length

2024-05-11T16:00:35.426809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:35.640737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
43.2%
000 21
28.4%
l00 21
28.4%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
<NA>
67 
0
7 

Length

Max length4
Median length4
Mean length3.7162162
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> 67
90.5%
0 7
 
9.5%

Length

2024-05-11T16:00:35.845032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:36.005057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
90.5%
0 7
 
9.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0321000032100000131988000119881105<NA>1영업/정상0정상<NA><NA><NA><NA>588-93710.0<NA>서울특별시 서초구 서초동 ****-*번지 *층서울특별시 서초구 명달로 **, *층 (서초동)6668세중무역상사2011-10-30 14:58:14I2018-08-31 23:59:59.0<NA>200300.406597442570.12031동물용의료용구판매업<NA><NA>000<NA>
1321000032100000131995000119951027<NA>1영업/정상0정상<NA><NA><NA><NA>587-13880.0<NA>서울특별시 서초구 원지동 ***-* 솔향빌딩 *층 *호<NA><NA>(주)중앙진테크2021-06-23 13:04:02U2021-06-25 02:40:00.0<NA><NA><NA>동물용의료용구판매업<NA><NA>L00<NA>
2321000032100000131998000119980612<NA>1영업/정상0정상<NA><NA><NA><NA>547-06720.0<NA>서울특별시 서초구 잠원동 **-* 번지 *층<NA><NA>한국 IMV2002-12-17 10:56:28I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
3321000032100000131999000119990716<NA>3폐업2폐업20040715<NA><NA><NA>597-05070.0<NA>서울특별시 서초구 서초동 ****-** 번지 이차B *층<NA><NA>(주)중앙화성2004-07-15 16:41:09I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>L00<NA>
4321000032100000131999000219991101<NA>3폐업2폐업20190709<NA><NA><NA>3473-23320.0<NA>서울특별시 서초구 서초동 ****-**번지 양우빌딩서울특별시 서초구 반포대로**길 ** (서초동,양우빌딩)<NA>(주)이우과학교역2019-07-10 07:58:55U2019-07-12 02:40:00.0<NA>200570.869385442974.636923동물용의료용구판매업<NA><NA>L00<NA>
5321000032100000131999000319991025<NA>3폐업2폐업20030529<NA><NA><NA>573-37430.0<NA>서울특별시 서초구 양재동 ***번지 우성성보프라자 ***호서울특별시 서초구 바우뫼로 ** (양재동,우성성보프라자 ***호)<NA>우리무역(주)2003-05-29 16:49:30I2018-08-31 23:59:59.0<NA>202570.833134441646.594354동물용의료용구판매업<NA><NA>L00<NA>
6321000032100000132000000120000426<NA>1영업/정상0정상<NA><NA><NA><NA>1577-845571.25<NA>서울특별시 서초구 서초동 ****-** 화니빌딩 *층서울특별시 서초구 서초중앙로**길 **-** (서초동,화니빌딩 *층)<NA>주식회사 서울코퍼레이션2022-02-10 13:29:50U2022-02-12 02:40:00.0<NA>201651.248945443505.587866동물용의료용구판매업<NA><NA>L000
7321000032100000132000000220001023<NA>3폐업2폐업20091127<NA><NA><NA>522-89110.0<NA>서울특별시 서초구 방배동 ***-** 번지 지층<NA><NA>참존약품2009-11-27 15:35:46I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
8321000032100000132001000120010820<NA>3폐업2폐업20071119<NA><NA><NA>2055-03210.0<NA>서울특별시 서초구 서초동 ****-*번지 유승빌딩 *층서울특별시 서초구 반포대로**길 ** (서초동,유승빌딩 *층)<NA>(주)한국톱콘2007-11-19 14:03:54I2018-08-31 23:59:59.0<NA>201130.220165442782.729489동물용의료용구판매업<NA><NA>L00<NA>
9321000032100000132002000120020912<NA>3폐업2폐업20050408<NA><NA><NA>532-55260.0<NA>서울특별시 서초구 방배동 ***-*번지서울특별시 서초구 방배중앙로 *** (방배동)<NA>히포사이언스2005-04-08 17:00:10I2018-08-31 23:59:59.0<NA>198628.119011443997.895759동물용의료용구판매업<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
64321000032100000132022001920220923<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 *** 하이브랜드서울특별시 서초구 매헌로 **, 하이브랜드 (양재동)6771(주)이마트 양재점2022-09-23 16:21:09I2021-12-08 22:05:00.0<NA>203204.755637440136.781184<NA><NA><NA><NA><NA>
65321000032100000132022002020220927<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 ***-* 삼호물산빌딩서울특별시 서초구 논현로 **, 삼호물산빌딩 A동 **층 ****호 (양재동)6775엣모아2022-09-27 11:07:04I2021-12-08 22:09:00.0<NA>203865.709971441674.893878<NA><NA><NA><NA><NA>
66321000032100000132022002120221020<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-** 리더스빌딩서울특별시 서초구 서초중앙로 **, 리더스빌딩 ****호 (서초동)6651(주)호안통상2022-10-20 16:14:35I2021-10-30 22:02:00.0<NA>201208.493843442790.939502<NA><NA><NA><NA><NA>
6732100003210000013202200222022-12-05<NA>3폐업2폐업2024-04-25<NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-*서울특별시 서초구 방배천로**길 *, ***호 (방배동)6675라라코리아2024-04-25 15:00:46U2023-12-03 22:07:00.0<NA>198465.50685442425.826518<NA><NA><NA><NA><NA>
6832100003210000013202300012023-02-06<NA>1영업/정상0정상<NA><NA><NA><NA>02-6207-2544<NA><NA>서울특별시 서초구 방배동 ***-** 보령빌딩서울특별시 서초구 방배로 **, 보령빌딩 *층 ***호 (방배동)6686유성메디칼케어2023-05-03 11:27:58U2022-12-05 00:05:00.0<NA>199624.929069442262.095416<NA><NA><NA><NA><NA>
6932100003210000013202300022023-04-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 ***-* 향산빌딩서울특별시 서초구 양재천로**길 **, 향산빌딩 *, *층 (양재동)6753주식회사 우리엔 서울2023-04-14 09:02:27I2022-12-03 23:06:00.0<NA>203304.837495441576.854245<NA><NA><NA><NA><NA>
7032100003210000013202300032023-06-02<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* 한성빌딩서울특별시 서초구 사임당로 **, 한성빌딩 *층 ****호 (서초동)6650주식회사 지셀릭스2024-04-11 17:49:42U2023-12-03 23:03:00.0<NA>201176.159311442917.34614<NA><NA><NA><NA><NA>
7132100003210000013202300042023-07-21<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-** BNK디지털타워서울특별시 서초구 서초대로 ***, BNK디지털타워 ***호 (서초동)6619주식회사 미로펫2023-09-07 17:29:37U2022-12-09 00:09:00.0<NA>202152.435829443826.911881<NA><NA><NA><NA><NA>
7232100003210000013202400022024-01-23<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-* 신사제*빌딩 ***호서울특별시 서초구 나루터로**길 *, 신사제*빌딩 ***호 (잠원동)6524주식회사 앤드블랭크2024-01-23 16:31:41I2023-11-30 22:05:00.0<NA>201576.127051445998.073826<NA><NA><NA><NA><NA>
7332100003210000013202400032024-02-27<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 **-* 래미안퍼스티지아파트 ***동 ****호서울특별시 서초구 반포대로 ***, ***동 **층 ****호 (반포동, 래미안퍼스티지아파트)6547반약2024-02-27 12:34:44I2023-12-01 22:09:00.0<NA>199863.640575444524.211587<NA><NA><NA><NA><NA>