Overview

Dataset statistics

Number of variables30
Number of observations46
Missing cells327
Missing cells (%)23.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory259.9 B

Variable types

Categorical11
Numeric5
DateTime4
Unsupported6
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-18523/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (84.9%)Imbalance
축산일련번호 is highly imbalanced (65.2%)Imbalance
총인원 is highly imbalanced (65.2%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 31 (67.4%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 9 (19.6%) missing valuesMissing
소재지우편번호 has 46 (100.0%) missing valuesMissing
도로명우편번호 has 11 (23.9%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
축산물가공업구분명 has 46 (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
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
소재지면적 has 5 (10.9%) zerosZeros

Reproduction

Analysis started2024-05-11 08:11:30.283661
Analysis finished2024-05-11 08:11:30.647811
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3210000
46 

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 46
100.0%

Length

2024-05-11T17:11:30.704419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:30.782274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 46
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct46
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 size546.0 B
2024-05-11T17:11:30.884719image/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
Range230002
Interquartile range (IQR)99968

Descriptive statistics

Standard deviation66169.838
Coefficient of variation (CV)2.0613657 × 10-13
Kurtosis-0.83931204
Mean3.21 × 1017
Median Absolute Deviation (MAD)49984
Skewness-0.50625147
Sum-3.680744 × 1018
Variance4.3784474 × 109
MonotonicityStrictly increasing
2024-05-11T17:11:31.009970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
321000000820000001 1
 
2.2%
321000000820210001 1
 
2.2%
321000000820160002 1
 
2.2%
321000000820160003 1
 
2.2%
321000000820180001 1
 
2.2%
321000000820190001 1
 
2.2%
321000000820190002 1
 
2.2%
321000000820200001 1
 
2.2%
321000000820200002 1
 
2.2%
321000000820200003 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
321000000820000001 1
2.2%
321000000820020001 1
2.2%
321000000820020002 1
2.2%
321000000820040001 1
2.2%
321000000820040002 1
2.2%
321000000820040003 1
2.2%
321000000820060001 1
2.2%
321000000820070001 1
2.2%
321000000820070002 1
2.2%
321000000820090001 1
2.2%
ValueCountFrequency (%)
321000000820230003 1
2.2%
321000000820230002 1
2.2%
321000000820230001 1
2.2%
321000000820220003 1
2.2%
321000000820220002 1
2.2%
321000000820220001 1
2.2%
321000000820210005 1
2.2%
321000000820210004 1
2.2%
321000000820210003 1
2.2%
321000000820210002 1
2.2%

인허가일자
Date

Distinct42
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2000-09-15 00:00:00
Maximum2022-07-14 00:00:00
2024-05-11T17:11:31.126645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:11:31.250882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
30 
3
12 
4
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row1
2nd row2
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
1 30
65.2%
3 12
 
26.1%
4 3
 
6.5%
2 1
 
2.2%

Length

2024-05-11T17:11:31.364736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:31.452864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
65.2%
3 12
 
26.1%
4 3
 
6.5%
2 1
 
2.2%

영업상태명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
30 
폐업
12 
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length5
Mean length4.7391304
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 30
65.2%
폐업 12
 
26.1%
취소/말소/만료/정지/중지 3
 
6.5%
휴업 1
 
2.2%

Length

2024-05-11T17:11:31.558843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:31.656814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
65.2%
폐업 12
 
26.1%
취소/말소/만료/정지/중지 3
 
6.5%
휴업 1
 
2.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
0
30 
2
12 
4
 
3
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row0
2nd row1
3rd row2
4th row2
5th row4

Common Values

ValueCountFrequency (%)
0 30
65.2%
2 12
 
26.1%
4 3
 
6.5%
1 1
 
2.2%

Length

2024-05-11T17:11:31.760146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:31.856374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
65.2%
2 12
 
26.1%
4 3
 
6.5%
1 1
 
2.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
정상
30 
폐업
12 
말소
 
3
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
정상 30
65.2%
폐업 12
 
26.1%
말소 3
 
6.5%
휴업 1
 
2.2%

Length

2024-05-11T17:11:31.968897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:32.067233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 30
65.2%
폐업 12
 
26.1%
말소 3
 
6.5%
휴업 1
 
2.2%

폐업일자
Date

MISSING 

Distinct13
Distinct (%)86.7%
Missing31
Missing (%)67.4%
Memory size500.0 B
Minimum2005-07-01 00:00:00
Maximum2023-10-05 00:00:00
2024-05-11T17:11:32.168386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:11:32.287574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
20210326
 
1

Length

Max length8
Median length4
Mean length4.0869565
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row20210326
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
20210326 1
 
2.2%

Length

2024-05-11T17:11:32.408151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:32.509484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
20210326 1
 
2.2%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct31
Distinct (%)83.8%
Missing9
Missing (%)19.6%
Memory size500.0 B
2024-05-11T17:11:32.661829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.054054
Min length7

Characters and Unicode

Total characters409
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

Unique27 ?
Unique (%)73.0%

Sample

1st row02-3474-0002
2nd row584-4663
3rd row02-575-6346
4th row3486-3305
5th row02-588-1104
ValueCountFrequency (%)
02-585-8001 3
 
8.1%
02-585-7468 3
 
8.1%
031-404-7955 2
 
5.4%
02-3471-0853 2
 
5.4%
02-3488-4600 1
 
2.7%
02-525-0825 1
 
2.7%
02-3488-4601 1
 
2.7%
061-242-0015 1
 
2.7%
02-572-2000 1
 
2.7%
02-3463-2246 1
 
2.7%
Other values (21) 21
56.8%
2024-05-11T17:11:33.001740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
16.9%
- 67
16.4%
2 44
10.8%
5 44
10.8%
4 35
8.6%
8 33
8.1%
7 30
7.3%
3 29
7.1%
1 28
6.8%
6 23
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
83.6%
Dash Punctuation 67
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
20.2%
2 44
12.9%
5 44
12.9%
4 35
10.2%
8 33
9.6%
7 30
8.8%
3 29
8.5%
1 28
8.2%
6 23
 
6.7%
9 7
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
16.9%
- 67
16.4%
2 44
10.8%
5 44
10.8%
4 35
8.6%
8 33
8.1%
7 30
7.3%
3 29
7.1%
1 28
6.8%
6 23
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
16.9%
- 67
16.4%
2 44
10.8%
5 44
10.8%
4 35
8.6%
8 33
8.1%
7 30
7.3%
3 29
7.1%
1 28
6.8%
6 23
 
5.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.357174
Minimum0
Maximum596.83
Zeros5
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T17:11:33.134115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.125
median35.61
Q363.025
95-th percentile173.55
Maximum596.83
Range596.83
Interquartile range (IQR)49.9

Descriptive statistics

Standard deviation95.535769
Coefficient of variation (CV)1.6095067
Kurtosis22.771426
Mean59.357174
Median Absolute Deviation (MAD)23.36
Skewness4.3363165
Sum2730.43
Variance9127.0832
MonotonicityNot monotonic
2024-05-11T17:11:33.270661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 5
 
10.9%
9.9 2
 
4.3%
12.0 1
 
2.2%
57.1 1
 
2.2%
92.56 1
 
2.2%
56.12 1
 
2.2%
28.0 1
 
2.2%
26.4 1
 
2.2%
12.5 1
 
2.2%
38.13 1
 
2.2%
Other values (31) 31
67.4%
ValueCountFrequency (%)
0.0 5
10.9%
3.3 1
 
2.2%
9.0 1
 
2.2%
9.9 2
 
4.3%
10.0 1
 
2.2%
12.0 1
 
2.2%
12.5 1
 
2.2%
15.0 1
 
2.2%
16.0 1
 
2.2%
16.15 1
 
2.2%
ValueCountFrequency (%)
596.83 1
2.2%
250.8 1
2.2%
182.4 1
2.2%
147.0 1
2.2%
124.06 1
2.2%
99.99 1
2.2%
97.3 1
2.2%
92.56 1
2.2%
90.0 1
2.2%
79.33 1
2.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지번주소
Text

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T17:11:33.446872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length23.086957
Min length17

Characters and Unicode

Total characters1062
Distinct characters62
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)50.0%

Sample

1st row서울특별시 서초구 서초동 ****-**
2nd row서울특별시 서초구 서초동 1344
3rd row서울특별시 서초구 서초동 ****-*번지 동명빌딩 ***호
4th row서울특별시 서초구 양재동 ***-*번지 ***-* 지상*층 ***호
5th row서울특별시 서초구 서초동 ****-**
ValueCountFrequency (%)
서울특별시 46
22.3%
서초구 46
22.3%
37
18.0%
서초동 23
11.2%
양재동 12
 
5.8%
번지 9
 
4.4%
호 8
 
3.9%
방배동 6
 
2.9%
반포동 4
 
1.9%
지상*층 2
 
1.0%
Other values (12) 13
 
6.3%
2024-05-11T17:11:33.773659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 248
23.4%
179
16.9%
서 117
11.0%
초 71
 
6.7%
동 48
 
4.5%
구 46
 
4.3%
울 46
 
4.3%
시 46
 
4.3%
특 46
 
4.3%
별 46
 
4.3%
Other values (52) 169
15.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 587
55.3%
Other Punctuation 248
23.4%
Space Separator 179
 
16.9%
Dash Punctuation 42
 
4.0%
Decimal Number 4
 
0.4%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 117
19.9%
초 71
12.1%
동 48
8.2%
구 46
 
7.8%
울 46
 
7.8%
시 46
 
7.8%
특 46
 
7.8%
별 46
 
7.8%
양 12
 
2.0%
재 12
 
2.0%
Other values (44) 97
16.5%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
3 1
25.0%
1 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
Y 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 248
100.0%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 587
55.3%
Common 473
44.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 117
19.9%
초 71
12.1%
동 48
8.2%
구 46
 
7.8%
울 46
 
7.8%
시 46
 
7.8%
특 46
 
7.8%
별 46
 
7.8%
양 12
 
2.0%
재 12
 
2.0%
Other values (44) 97
16.5%
Common
ValueCountFrequency (%)
* 248
52.4%
179
37.8%
- 42
 
8.9%
4 2
 
0.4%
3 1
 
0.2%
1 1
 
0.2%
Latin
ValueCountFrequency (%)
H 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 587
55.3%
ASCII 475
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 248
52.2%
179
37.7%
- 42
 
8.8%
4 2
 
0.4%
3 1
 
0.2%
H 1
 
0.2%
1 1
 
0.2%
Y 1
 
0.2%
Hangul
ValueCountFrequency (%)
서 117
19.9%
초 71
12.1%
동 48
8.2%
구 46
 
7.8%
울 46
 
7.8%
시 46
 
7.8%
특 46
 
7.8%
별 46
 
7.8%
양 12
 
2.0%
재 12
 
2.0%
Other values (44) 97
16.5%

도로명주소
Text

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T17:11:34.008664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38.5
Mean length36.347826
Min length25

Characters and Unicode

Total characters1672
Distinct characters115
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

Unique34 ?
Unique (%)73.9%

Sample

1st row서울특별시 서초구 효령로**길 ** (서초동,*층)
2nd row서울특별시 서초구 바우뫼로 194, 3층 (양재동)
3rd row서울특별시 서초구 서초대로**길 ** (서초동,동명빌딩 ***호)
4th row서울특별시 서초구 양재천로 ** (양재동,***-* 지상*층 ***호)
5th row서울특별시 서초구 남부순환로***길 **-* (서초동,****-** 지상*층)
ValueCountFrequency (%)
서울특별시 46
14.4%
서초구 46
14.4%
45
14.1%
호 26
 
8.2%
층 23
 
7.2%
서초동 18
 
5.6%
양재동 10
 
3.1%
방배동 6
 
1.9%
서초중앙로 6
 
1.9%
반포동 4
 
1.3%
Other values (55) 89
27.9%
2024-05-11T17:11:34.423045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 278
16.6%
273
16.3%
서 134
 
8.0%
초 83
 
5.0%
, 58
 
3.5%
동 56
 
3.3%
울 47
 
2.8%
별 47
 
2.8%
로 46
 
2.8%
( 46
 
2.8%
Other values (105) 604
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 957
57.2%
Other Punctuation 336
 
20.1%
Space Separator 273
 
16.3%
Open Punctuation 46
 
2.8%
Close Punctuation 46
 
2.8%
Dash Punctuation 8
 
0.5%
Decimal Number 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 134
 
14.0%
초 83
 
8.7%
동 56
 
5.9%
울 47
 
4.9%
별 47
 
4.9%
로 46
 
4.8%
구 46
 
4.8%
시 46
 
4.8%
특 46
 
4.8%
층 32
 
3.3%
Other values (93) 374
39.1%
Decimal Number
ValueCountFrequency (%)
4 1
25.0%
3 1
25.0%
9 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 278
82.7%
, 58
 
17.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
Y 1
50.0%
Space Separator
ValueCountFrequency (%)
273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 957
57.2%
Common 713
42.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 134
 
14.0%
초 83
 
8.7%
동 56
 
5.9%
울 47
 
4.9%
별 47
 
4.9%
로 46
 
4.8%
구 46
 
4.8%
시 46
 
4.8%
특 46
 
4.8%
층 32
 
3.3%
Other values (93) 374
39.1%
Common
ValueCountFrequency (%)
* 278
39.0%
273
38.3%
, 58
 
8.1%
( 46
 
6.5%
) 46
 
6.5%
- 8
 
1.1%
4 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
H 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 957
57.2%
ASCII 715
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 278
38.9%
273
38.2%
, 58
 
8.1%
( 46
 
6.4%
) 46
 
6.4%
- 8
 
1.1%
4 1
 
0.1%
H 1
 
0.1%
Y 1
 
0.1%
3 1
 
0.1%
Other values (2) 2
 
0.3%
Hangul
ValueCountFrequency (%)
서 134
 
14.0%
초 83
 
8.7%
동 56
 
5.9%
울 47
 
4.9%
별 47
 
4.9%
로 46
 
4.8%
구 46
 
4.8%
시 46
 
4.8%
특 46
 
4.8%
층 32
 
3.3%
Other values (93) 374
39.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)65.7%
Missing11
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean6671.3714
Minimum6530
Maximum6784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T17:11:34.544268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6530
5-th percentile6553.1
Q16610
median6675
Q36732.5
95-th percentile6776.2
Maximum6784
Range254
Interquartile range (IQR)122.5

Descriptive statistics

Standard deviation75.437191
Coefficient of variation (CV)0.011307599
Kurtosis-1.2115057
Mean6671.3714
Median Absolute Deviation (MAD)58
Skewness-0.24942097
Sum233498
Variance5690.7697
MonotonicityNot monotonic
2024-05-11T17:11:34.656349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6593 4
 
8.7%
6720 3
 
6.5%
6564 2
 
4.3%
6721 2
 
4.3%
6732 2
 
4.3%
6627 2
 
4.3%
6747 2
 
4.3%
6643 2
 
4.3%
6733 2
 
4.3%
6648 1
 
2.2%
Other values (13) 13
28.3%
(Missing) 11
23.9%
ValueCountFrequency (%)
6530 1
 
2.2%
6551 1
 
2.2%
6554 1
 
2.2%
6564 2
4.3%
6593 4
8.7%
6627 2
4.3%
6628 1
 
2.2%
6643 2
4.3%
6647 1
 
2.2%
6648 1
 
2.2%
ValueCountFrequency (%)
6784 1
 
2.2%
6779 1
 
2.2%
6775 1
 
2.2%
6772 1
 
2.2%
6747 2
4.3%
6738 1
 
2.2%
6733 2
4.3%
6732 2
4.3%
6721 2
4.3%
6720 3
6.5%

사업장명
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T17:11:34.889891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.3043478
Min length4

Characters and Unicode

Total characters382
Distinct characters94
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

Unique44 ?
Unique (%)95.7%

Sample

1st row(주)진양로지스틱스
2nd row동서물류(주)
3rd row부광상운(주)
4th row명진냉동운송(주)
5th row(주)신화창조
ValueCountFrequency (%)
주식회사 7
 
12.7%
주)대건물류 2
 
3.6%
주)진양로지스틱스 1
 
1.8%
제이지로지스 1
 
1.8%
주)휴먼엘지 1
 
1.8%
오씨엘 1
 
1.8%
주)에스알피이 1
 
1.8%
주)하성물류 1
 
1.8%
주)모두로직스 1
 
1.8%
로지스팟 1
 
1.8%
Other values (38) 38
69.1%
2024-05-11T17:11:35.279167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
11.3%
( 36
 
9.4%
) 36
 
9.4%
스 22
 
5.8%
지 14
 
3.7%
로 12
 
3.1%
9
 
2.4%
물 9
 
2.4%
사 8
 
2.1%
회 8
 
2.1%
Other values (84) 185
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 301
78.8%
Open Punctuation 36
 
9.4%
Close Punctuation 36
 
9.4%
Space Separator 9
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
14.3%
스 22
 
7.3%
지 14
 
4.7%
로 12
 
4.0%
물 9
 
3.0%
사 8
 
2.7%
회 8
 
2.7%
성 8
 
2.7%
운 7
 
2.3%
류 7
 
2.3%
Other values (81) 163
54.2%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
78.8%
Common 81
 
21.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
14.3%
스 22
 
7.3%
지 14
 
4.7%
로 12
 
4.0%
물 9
 
3.0%
사 8
 
2.7%
회 8
 
2.7%
성 8
 
2.7%
운 7
 
2.3%
류 7
 
2.3%
Other values (81) 163
54.2%
Common
ValueCountFrequency (%)
( 36
44.4%
) 36
44.4%
9
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 301
78.8%
ASCII 81
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
14.3%
스 22
 
7.3%
지 14
 
4.7%
로 12
 
4.0%
물 9
 
3.0%
사 8
 
2.7%
회 8
 
2.7%
성 8
 
2.7%
운 7
 
2.3%
류 7
 
2.3%
Other values (81) 163
54.2%
ASCII
ValueCountFrequency (%)
( 36
44.4%
) 36
44.4%
9
 
11.1%

최종수정일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2005-07-01 16:42:05
Maximum2024-04-16 13:52:07
2024-05-11T17:11:35.420699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:11:35.563756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
U
33 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 33
71.7%
I 13
 
28.3%

Length

2024-05-11T17:11:35.693450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:35.792550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 33
71.7%
i 13
 
28.3%

데이터갱신일자
Date

Distinct34
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T17:11:35.896360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:11:36.310936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

Distinct34
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201766.84
Minimum198485.72
Maximum203981.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T17:11:36.457351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198485.72
5-th percentile198661.2
Q1200999.36
median201724.54
Q3202974.34
95-th percentile203636.79
Maximum203981.09
Range5495.3752
Interquartile range (IQR)1974.9722

Descriptive statistics

Standard deviation1530.666
Coefficient of variation (CV)0.0075863107
Kurtosis-0.065546051
Mean201766.84
Median Absolute Deviation (MAD)862.22165
Skewness-0.72794126
Sum9281274.8
Variance2342938.3
MonotonicityNot monotonic
2024-05-11T17:11:36.591245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
201724.535048387 3
 
6.5%
201463.690299789 3
 
6.5%
201461.469611461 3
 
6.5%
200971.574649134 3
 
6.5%
203298.881290574 2
 
4.3%
202532.757721611 2
 
4.3%
202508.646065919 2
 
4.3%
198777.40607858 2
 
4.3%
202559.861737709 1
 
2.2%
203059.646700644 1
 
2.2%
Other values (24) 24
52.2%
ValueCountFrequency (%)
198485.718658225 1
 
2.2%
198491.043333553 1
 
2.2%
198622.459419616 1
 
2.2%
198777.40607858 2
4.3%
198961.659611295 1
 
2.2%
200706.658462318 1
 
2.2%
200735.529540077 1
 
2.2%
200835.418432776 1
 
2.2%
200971.574649134 3
6.5%
201082.733009014 1
 
2.2%
ValueCountFrequency (%)
203981.093872445 1
2.2%
203891.041008756 1
2.2%
203637.220262325 1
2.2%
203635.481276088 1
2.2%
203618.401489517 1
2.2%
203469.989133686 1
2.2%
203428.198120628 1
2.2%
203366.686699252 1
2.2%
203298.881290574 2
4.3%
203211.394575197 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct34
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442566.61
Minimum439881.74
Maximum445666.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T17:11:36.718630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439881.74
5-th percentile440113.1
Q1442429.15
median442594.6
Q3443039.65
95-th percentile444233.59
Maximum445666.91
Range5785.1678
Interquartile range (IQR)610.49934

Descriptive statistics

Standard deviation1176.1699
Coefficient of variation (CV)0.002657611
Kurtosis1.0567136
Mean442566.61
Median Absolute Deviation (MAD)445.04975
Skewness-0.24585353
Sum20358064
Variance1383375.6
MonotonicityNot monotonic
2024-05-11T17:11:36.840354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
442597.760014524 3
 
6.5%
442429.147525901 3
 
6.5%
442591.434219772 3
 
6.5%
444233.594970312 3
 
6.5%
439881.740443559 2
 
4.3%
442501.159761944 2
 
4.3%
442625.413940559 2
 
4.3%
443039.646865544 2
 
4.3%
443317.21602255 1
 
2.2%
439960.533113874 1
 
2.2%
Other values (24) 24
52.2%
ValueCountFrequency (%)
439881.740443559 2
4.3%
439960.533113874 1
2.2%
440570.80333513 1
2.2%
440913.295041445 1
2.2%
441070.67123356 1
2.2%
441421.103403027 1
2.2%
441636.969240722 1
2.2%
441782.671409503 1
2.2%
441907.532593542 1
2.2%
441911.017052191 1
2.2%
ValueCountFrequency (%)
445666.908243581 1
 
2.2%
444629.80563119 1
 
2.2%
444233.594970312 3
6.5%
443871.188105515 1
 
2.2%
443776.67004494 1
 
2.2%
443356.365859457 1
 
2.2%
443317.21602255 1
 
2.2%
443295.844111214 1
 
2.2%
443154.964346798 1
 
2.2%
443039.646865544 2
4.3%

축산업무구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
24 
축산물운반업
22 

Length

Max length6
Median length4
Mean length4.9565217
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
52.2%
축산물운반업 22
47.8%

Length

2024-05-11T17:11:36.973772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:37.078673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
52.2%
축산물운반업 22
47.8%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
0
 
3

Length

Max length4
Median length4
Mean length3.8043478
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> 43
93.5%
0 3
 
6.5%

Length

2024-05-11T17:11:37.189143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:37.289755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
0 3
 
6.5%

권리주체일련번호
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
24 
L00
20 
000
 
2

Length

Max length4
Median length4
Mean length3.5217391
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd rowL00
4th rowL00
5th rowL00

Common Values

ValueCountFrequency (%)
<NA> 24
52.2%
L00 20
43.5%
000 2
 
4.3%

Length

2024-05-11T17:11:37.385760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:37.483512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
52.2%
l00 20
43.5%
000 2
 
4.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
0
 
3

Length

Max length4
Median length4
Mean length3.8043478
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> 43
93.5%
0 3
 
6.5%

Length

2024-05-11T17:11:37.595595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:11:37.684503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
0 3
 
6.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
032100003210000008200000012000-09-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA>12.0<NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 효령로**길 ** (서초동,*층)<NA>(주)진양로지스틱스2023-07-11 16:40:19U2022-12-06 23:03:00.0<NA>201724.535048442597.760015<NA><NA><NA><NA><NA>
1321000032100000082002000120030605<NA>2휴업1휴업<NA>20210326<NA><NA>02-3474-000279.33<NA>서울특별시 서초구 서초동 1344서울특별시 서초구 바우뫼로 194, 3층 (양재동)6747동서물류(주)2022-12-20 18:02:33U2021-11-01 22:02:00.0<NA>202320.417436442801.212332<NA><NA><NA><NA><NA>
2321000032100000082002000220020516<NA>3폐업2폐업20100316<NA><NA><NA>584-466346.8<NA>서울특별시 서초구 서초동 ****-*번지 동명빌딩 ***호서울특별시 서초구 서초대로**길 ** (서초동,동명빌딩 ***호)<NA>부광상운(주)2010-03-16 15:18:12I2018-08-31 23:59:59.0<NA>201161.255201442988.791221축산물운반업<NA><NA>L00<NA>
3321000032100000082004000120040426<NA>3폐업2폐업20080229<NA><NA><NA>02-575-6346147.0<NA>서울특별시 서초구 양재동 ***-*번지 ***-* 지상*층 ***호서울특별시 서초구 양재천로 ** (양재동,***-* 지상*층 ***호)<NA>명진냉동운송(주)2008-02-29 15:47:41I2018-08-31 23:59:59.0<NA>203211.394575441421.103403축산물운반업<NA><NA>L00<NA>
4321000032100000082004000220040709<NA>4취소/말소/만료/정지/중지4말소20210607<NA><NA><NA>3486-330590.0<NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 남부순환로***길 **-* (서초동,****-** 지상*층)<NA>(주)신화창조2021-06-07 15:35:42U2021-06-09 02:40:00.0<NA>202718.405472442663.07773축산물운반업<NA><NA>L00<NA>
5321000032100000082004000320040907<NA>3폐업2폐업20050701<NA><NA><NA>02-588-110440.0<NA>서울특별시 서초구 서초동 ****-**번지 강남부속상가* 지상*층 ***호서울특별시 서초구 효령로**길 * (서초동,강남부속상가* 지상*층 ***호)<NA>삼진화물운수(주)2005-07-01 16:42:05I2018-08-31 23:59:59.0<NA>201437.47792442585.481212축산물운반업<NA><NA>L00<NA>
6321000032100000082006000120060713<NA>3폐업2폐업20180510<NA><NA><NA><NA>9.0<NA>서울특별시 서초구 양재동 ***번지 한국터니널 *층서울특별시 서초구 양재대로**길 ** (양재동,한국터니널 *층)<NA>시온유통2018-05-10 17:48:32I2018-08-31 23:59:59.0<NA>203298.881291439881.740444축산물운반업<NA><NA>000<NA>
7321000032100000082007000120070803<NA>3폐업2폐업20130724<NA><NA><NA><NA>26.44<NA>서울특별시 서초구 양재동 **-**번지서울특별시 서초구 바우뫼로**길 ** (양재동)<NA>(주)일원통운2013-07-24 17:32:38I2018-08-31 23:59:59.0<NA>203428.198121441907.532594축산물운반업<NA><NA>L00<NA>
8321000032100000082007000220070806<NA>3폐업2폐업20201111<NA><NA><NA>592567876.0<NA>서울특별시 서초구 반포동 **-*서울특별시 서초구 고무래로 *-** (반포동)6593(주)성부티엘에스2020-11-11 14:56:30U2020-11-13 02:40:00.0<NA>200735.52954444629.805631축산물운반업<NA><NA>L00<NA>
9321000032100000082009000120090417<NA>4취소/말소/만료/정지/중지4말소20210607<NA><NA><NA>522-311097.3<NA>서울특별시 서초구 방배동 ***-****서울특별시 서초구 서초대로*길 *, *층 (방배동)6675(주)코스모리치2021-06-07 15:36:53U2021-06-09 02:40:00.0<NA>198622.45942442586.300529축산물운반업<NA><NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
3632100003210000008202100022011-03-30<NA>1영업/정상0정상<NA><NA><NA><NA>061-242-001510.0<NA>서울특별시 서초구 서초동 ****-*서울특별시 서초구 반포대로**길 **, 현대전원오피스텔 *층 ***호 (서초동)6653신일로지시스템(주)2023-02-16 14:57:07U2022-12-01 23:08:00.0<NA>201082.733009442599.516095<NA><NA><NA><NA><NA>
3732100003210000008202100032021-09-07<NA>1영업/정상0정상<NA><NA><NA><NA>02-585-746816.5<NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 서초중앙로 **, *층 ***호 (서초동, 서초쌍용플래티넘)6720태한지엘에스(주)2023-11-08 13:23:13U2022-10-31 23:00:00.0<NA>201463.6903442429.147526<NA><NA><NA><NA><NA>
3832100003210000008202100042021-09-07<NA>1영업/정상0정상<NA><NA><NA><NA>02-585-746840.4<NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 서초중앙로 **, *층 ***호 (서초동, 서초쌍용플래티넘)6720우성화물(주)2023-12-20 15:35:23U2022-11-01 22:03:00.0<NA>201463.6903442429.147526<NA><NA><NA><NA><NA>
3932100003210000008202100052021-09-15<NA>1영업/정상0정상<NA><NA><NA><NA>02-3488-46019.9<NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 효령로**길 **, *층 (서초동)6721(주)에이제이로지스2023-02-15 16:13:10U2022-12-01 23:07:00.0<NA>201724.535048442597.760015<NA><NA><NA><NA><NA>
40321000032100000082022000120160226<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 서초구 양재동 ***서울특별시 서초구 양재대로**길 **, 서울오토갤러리 *층 ***호 (양재동)6772(주)대성로지스2022-05-23 17:28:00I2021-12-04 22:05:00.0<NA>203059.646701439960.533114<NA><NA><NA><NA><NA>
41321000032100000082022000220220714<NA>1영업/정상0정상<NA><NA><NA><NA>02-585-74680.0<NA>서울특별시 서초구 서초동 ****-** 서초쌍용플래티넘서울특별시 서초구 서초중앙로 **, ***호 (서초동, 서초쌍용플래티넘)6720태한티엘에스(주)2022-07-14 13:58:28I2021-12-06 23:06:00.0<NA>201463.6903442429.147526<NA><NA><NA><NA><NA>
42321000032100000082022000320200629<NA>1영업/정상0정상<NA><NA><NA><NA><NA>36.22<NA>서울특별시 서초구 서초동 ****-* 서초월드오피스텔서울특별시 서초구 서운로 **, 서초월드오피스텔 **층 ****호 (서초동)6732주식회사 더러브엔터테인먼트2022-09-19 17:52:57I2021-12-08 22:01:00.0<NA>202508.646066442625.413941<NA><NA><NA><NA><NA>
4332100003210000008202300012015-07-14<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 강남대로 ***, 대륭서초타워 **층 (서초동)6627(주)유안로지스틱스2023-08-02 09:42:48U2022-12-08 00:04:00.0<NA>202559.861738443317.216023<NA><NA><NA><NA><NA>
4432100003210000008202300022017-06-26<NA>1영업/정상0정상<NA><NA><NA><NA>02-525-082515.0<NA>서울특별시 서초구 양재동 ***-*서울특별시 서초구 동산로 **, 화성빌딩 *층 (양재동)6784성진물류(주)2023-09-20 16:52:33I2022-12-08 22:02:00.0<NA>203981.093872441070.671234<NA><NA><NA><NA><NA>
4532100003210000008202300032019-11-11<NA>1영업/정상0정상<NA><NA><NA><NA>070-4423-510730.0<NA>서울특별시 서초구 잠원동 **-** HY빌딩서울특별시 서초구 강남대로 ***, HY빌딩 *-*층 (잠원동)6530주식회사 부릉2023-11-21 10:08:09I2022-10-31 22:03:00.0<NA>201670.703382445666.908244<NA><NA><NA><NA><NA>