Overview

Dataset statistics

Number of variables30
Number of observations21
Missing cells176
Missing cells (%)27.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory263.3 B

Variable types

Categorical10
Numeric5
DateTime4
Unsupported7
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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18518/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 13 (61.9%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 9 (42.9%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
도로명주소 has 2 (9.5%) missing valuesMissing
도로명우편번호 has 5 (23.8%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
축산물가공업구분명 has 21 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
소재지면적 has 1 (4.8%) zerosZeros

Reproduction

Analysis started2024-05-11 02:14:35.508798
Analysis finished2024-05-11 02:14:36.368443
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3160000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 21
100.0%

Length

2024-05-11T02:14:36.624688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:37.095255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.16 × 1017
Minimum3.16 × 1017
Maximum3.16 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:14:37.558506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.16 × 1017
5-th percentile3.16 × 1017
Q13.16 × 1017
median3.16 × 1017
Q33.16 × 1017
95-th percentile3.16 × 1017
Maximum3.16 × 1017
Range170000
Interquartile range (IQR)109952

Descriptive statistics

Standard deviation58836.807
Coefficient of variation (CV)1.8619243 × 10-13
Kurtosis-1.6765325
Mean3.16 × 1017
Median Absolute Deviation (MAD)49984
Skewness-0.1878956
Sum6.636 × 1018
Variance3.4617698 × 109
MonotonicityStrictly increasing
2024-05-11T02:14:38.245316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
316000000820060001 1
 
4.8%
316000000820070001 1
 
4.8%
316000000820230001 1
 
4.8%
316000000820220001 1
 
4.8%
316000000820210005 1
 
4.8%
316000000820210004 1
 
4.8%
316000000820210003 1
 
4.8%
316000000820210002 1
 
4.8%
316000000820210001 1
 
4.8%
316000000820190002 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
316000000820060001 1
4.8%
316000000820070001 1
4.8%
316000000820070002 1
4.8%
316000000820090001 1
4.8%
316000000820100001 1
4.8%
316000000820100002 1
4.8%
316000000820100003 1
4.8%
316000000820100004 1
4.8%
316000000820120001 1
4.8%
316000000820140001 1
4.8%
ValueCountFrequency (%)
316000000820230001 1
4.8%
316000000820220001 1
4.8%
316000000820210005 1
4.8%
316000000820210004 1
4.8%
316000000820210003 1
4.8%
316000000820210002 1
4.8%
316000000820210001 1
4.8%
316000000820190002 1
4.8%
316000000820190001 1
4.8%
316000000820180001 1
4.8%

인허가일자
Date

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2006-05-25 00:00:00
Maximum2023-01-18 00:00:00
2024-05-11T02:14:38.768512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:14:39.290072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
13 
3
7 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 13
61.9%
3 7
33.3%
4 1
 
4.8%

Length

2024-05-11T02:14:39.698870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:40.038275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
61.9%
3 7
33.3%
4 1
 
4.8%

영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
13 
폐업
7 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.4285714
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 13
61.9%
폐업 7
33.3%
취소/말소/만료/정지/중지 1
 
4.8%

Length

2024-05-11T02:14:40.383183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:40.704126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 13
61.9%
폐업 7
33.3%
취소/말소/만료/정지/중지 1
 
4.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
13 
2
7 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 13
61.9%
2 7
33.3%
4 1
 
4.8%

Length

2024-05-11T02:14:41.031773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:41.329648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
61.9%
2 7
33.3%
4 1
 
4.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
정상
13 
폐업
7 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
정상 13
61.9%
폐업 7
33.3%
말소 1
 
4.8%

Length

2024-05-11T02:14:41.667709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:42.059014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 13
61.9%
폐업 7
33.3%
말소 1
 
4.8%

폐업일자
Date

MISSING 

Distinct7
Distinct (%)87.5%
Missing13
Missing (%)61.9%
Memory size300.0 B
Minimum2008-11-24 00:00:00
Maximum2023-10-19 00:00:00
2024-05-11T02:14:42.536343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:14:42.939435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct11
Distinct (%)91.7%
Missing9
Missing (%)42.9%
Memory size300.0 B
2024-05-11T02:14:43.355242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length9
Min length8

Characters and Unicode

Total characters108
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

Unique10 ?
Unique (%)83.3%

Sample

1st row2625-6501
2nd row2625-6501
3rd row865-4588
4th row2637-5373
5th row317648723
ValueCountFrequency (%)
2625-6501 2
16.7%
865-4588 1
8.3%
2637-5373 1
8.3%
317648723 1
8.3%
26892873 1
8.3%
6403-8338 1
8.3%
26124198 1
8.3%
2671-9666 1
8.3%
313810563 1
8.3%
02-6080-3233 1
8.3%
2024-05-11T02:14:44.297009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 17
15.7%
2 16
14.8%
3 16
14.8%
8 13
12.0%
1 9
8.3%
5 8
7.4%
- 8
7.4%
0 7
6.5%
7 6
 
5.6%
4 5
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100
92.6%
Dash Punctuation 8
 
7.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 17
17.0%
2 16
16.0%
3 16
16.0%
8 13
13.0%
1 9
9.0%
5 8
8.0%
0 7
7.0%
7 6
 
6.0%
4 5
 
5.0%
9 3
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 108
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 17
15.7%
2 16
14.8%
3 16
14.8%
8 13
12.0%
1 9
8.3%
5 8
7.4%
- 8
7.4%
0 7
6.5%
7 6
 
5.6%
4 5
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 17
15.7%
2 16
14.8%
3 16
14.8%
8 13
12.0%
1 9
8.3%
5 8
7.4%
- 8
7.4%
0 7
6.5%
7 6
 
5.6%
4 5
 
4.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.245714
Minimum0
Maximum73.08
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:14:44.723077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.2
Q18.4
median22.95
Q336
95-th percentile72
Maximum73.08
Range73.08
Interquartile range (IQR)27.6

Descriptive statistics

Standard deviation24.074123
Coefficient of variation (CV)0.82316754
Kurtosis-0.39748938
Mean29.245714
Median Absolute Deviation (MAD)13.05
Skewness0.84359451
Sum614.16
Variance579.56339
MonotonicityNot monotonic
2024-05-11T02:14:45.226854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
36.0 3
14.3%
72.0 2
 
9.5%
33.69 2
 
9.5%
4.5 1
 
4.8%
4.2 1
 
4.8%
11.62 1
 
4.8%
8.4 1
 
4.8%
7.28 1
 
4.8%
6.14 1
 
4.8%
73.08 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0.0 1
4.8%
4.2 1
4.8%
4.5 1
4.8%
6.14 1
4.8%
7.28 1
4.8%
8.4 1
4.8%
11.62 1
4.8%
18.11 1
4.8%
20.0 1
4.8%
21.0 1
4.8%
ValueCountFrequency (%)
73.08 1
 
4.8%
72.0 2
9.5%
70.0 1
 
4.8%
36.0 3
14.3%
33.69 2
9.5%
27.5 1
 
4.8%
22.95 1
 
4.8%
21.0 1
 
4.8%
20.0 1
 
4.8%
18.11 1
 
4.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지번주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T02:14:45.699698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length29
Min length16

Characters and Unicode

Total characters609
Distinct characters66
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 구로구 개봉동 ***-**
2nd row서울특별시 구로구 오류동 ***번지 동부돌타운(아)상가 ***-***호
3rd row서울특별시 구로구 구로동 ***-*번지 일진빌딩 *층
4th row서울특별시 구로구 구로동 ***-*번지 구로공구상가 D블럭 **동 ***호
5th row서울특별시 구로구 구로동 ***
ValueCountFrequency (%)
서울특별시 21
17.9%
구로구 21
17.9%
구로동 13
11.1%
13
11.1%
호 9
7.7%
번지 7
 
6.0%
동 5
 
4.3%
구로기계공구상가 3
 
2.6%
d블럭 2
 
1.7%
궁동 2
 
1.7%
Other values (18) 21
17.9%
2024-05-11T02:14:46.846651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 123
20.2%
104
17.1%
구 64
10.5%
로 39
 
6.4%
동 29
 
4.8%
서 21
 
3.4%
특 21
 
3.4%
별 21
 
3.4%
시 21
 
3.4%
울 21
 
3.4%
Other values (56) 145
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
57.6%
Other Punctuation 123
 
20.2%
Space Separator 104
 
17.1%
Dash Punctuation 16
 
2.6%
Decimal Number 11
 
1.8%
Uppercase Letter 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 64
18.2%
로 39
11.1%
동 29
 
8.3%
서 21
 
6.0%
특 21
 
6.0%
별 21
 
6.0%
시 21
 
6.0%
울 21
 
6.0%
호 10
 
2.8%
지 8
 
2.3%
Other values (45) 96
27.4%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
1 2
 
18.2%
0 2
 
18.2%
3 1
 
9.1%
7 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 123
100.0%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
57.6%
Common 256
42.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 64
18.2%
로 39
11.1%
동 29
 
8.3%
서 21
 
6.0%
특 21
 
6.0%
별 21
 
6.0%
시 21
 
6.0%
울 21
 
6.0%
호 10
 
2.8%
지 8
 
2.3%
Other values (45) 96
27.4%
Common
ValueCountFrequency (%)
* 123
48.0%
104
40.6%
- 16
 
6.2%
2 5
 
2.0%
1 2
 
0.8%
0 2
 
0.8%
) 1
 
0.4%
3 1
 
0.4%
( 1
 
0.4%
7 1
 
0.4%
Latin
ValueCountFrequency (%)
D 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
57.6%
ASCII 258
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 123
47.7%
104
40.3%
- 16
 
6.2%
2 5
 
1.9%
1 2
 
0.8%
0 2
 
0.8%
D 2
 
0.8%
) 1
 
0.4%
3 1
 
0.4%
( 1
 
0.4%
Hangul
ValueCountFrequency (%)
구 64
18.2%
로 39
11.1%
동 29
 
8.3%
서 21
 
6.0%
특 21
 
6.0%
별 21
 
6.0%
시 21
 
6.0%
울 21
 
6.0%
호 10
 
2.8%
지 8
 
2.3%
Other values (45) 96
27.4%

도로명주소
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing2
Missing (%)9.5%
Memory size300.0 B
2024-05-11T02:14:47.505224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length38.473684
Min length22

Characters and Unicode

Total characters731
Distinct characters81
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

Unique17 ?
Unique (%)89.5%

Sample

1st row서울특별시 구로구 개봉로*길 ***-** (개봉동)
2nd row서울특별시 구로구 경인로 ***-** (오류동,동부돌타운(아)상가 ***-***호)
3rd row서울특별시 구로구 도림로 *** (구로동,일진빌딩 *층)
4th row서울특별시 구로구 공원로 ** (구로동,현대파크빌 ***호)
5th row서울특별시 구로구 구로중앙로 ***, 구로기계공구상가 D-**동 ***호 (구로동)
ValueCountFrequency (%)
서울특별시 19
14.3%
구로구 19
14.3%
18
13.5%
호 14
 
10.5%
구로동 9
 
6.8%
동 6
 
4.5%
구로중앙로 4
 
3.0%
구로기계공구상가 3
 
2.3%
새말로 3
 
2.3%
신도림포스빌 3
 
2.3%
Other values (31) 35
26.3%
2024-05-11T02:14:48.851699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 130
17.8%
114
15.6%
구 61
 
8.3%
로 57
 
7.8%
동 29
 
4.0%
, 23
 
3.1%
서 20
 
2.7%
) 20
 
2.7%
( 20
 
2.7%
울 19
 
2.6%
Other values (71) 238
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
55.7%
Other Punctuation 153
 
20.9%
Space Separator 114
 
15.6%
Close Punctuation 20
 
2.7%
Open Punctuation 20
 
2.7%
Decimal Number 9
 
1.2%
Dash Punctuation 6
 
0.8%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 61
15.0%
로 57
14.0%
동 29
 
7.1%
서 20
 
4.9%
울 19
 
4.7%
특 19
 
4.7%
별 19
 
4.7%
시 19
 
4.7%
호 15
 
3.7%
빌 7
 
1.7%
Other values (59) 142
34.9%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
0 2
22.2%
9 1
 
11.1%
3 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 130
85.0%
, 23
 
15.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 407
55.7%
Common 322
44.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 61
15.0%
로 57
14.0%
동 29
 
7.1%
서 20
 
4.9%
울 19
 
4.7%
특 19
 
4.7%
별 19
 
4.7%
시 19
 
4.7%
호 15
 
3.7%
빌 7
 
1.7%
Other values (59) 142
34.9%
Common
ValueCountFrequency (%)
* 130
40.4%
114
35.4%
, 23
 
7.1%
) 20
 
6.2%
( 20
 
6.2%
- 6
 
1.9%
2 3
 
0.9%
1 2
 
0.6%
0 2
 
0.6%
9 1
 
0.3%
Latin
ValueCountFrequency (%)
D 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
55.7%
ASCII 324
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 130
40.1%
114
35.2%
, 23
 
7.1%
) 20
 
6.2%
( 20
 
6.2%
- 6
 
1.9%
2 3
 
0.9%
1 2
 
0.6%
0 2
 
0.6%
D 2
 
0.6%
Other values (2) 2
 
0.6%
Hangul
ValueCountFrequency (%)
구 61
15.0%
로 57
14.0%
동 29
 
7.1%
서 20
 
4.9%
울 19
 
4.7%
특 19
 
4.7%
별 19
 
4.7%
시 19
 
4.7%
호 15
 
3.7%
빌 7
 
1.7%
Other values (59) 142
34.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)68.8%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean8280.5625
Minimum8212
Maximum8364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:14:49.550195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8212
5-th percentile8212
Q18239.75
median8289
Q38325.25
95-th percentile8355.75
Maximum8364
Range152
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation52.555962
Coefficient of variation (CV)0.0063469073
Kurtosis-1.248142
Mean8280.5625
Median Absolute Deviation (MAD)40
Skewness0.021354946
Sum132489
Variance2762.1292
MonotonicityNot monotonic
2024-05-11T02:14:50.084617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
8212 4
19.0%
8289 3
14.3%
8329 1
 
4.8%
8341 1
 
4.8%
8298 1
 
4.8%
8324 1
 
4.8%
8259 1
 
4.8%
8257 1
 
4.8%
8353 1
 
4.8%
8364 1
 
4.8%
(Missing) 5
23.8%
ValueCountFrequency (%)
8212 4
19.0%
8249 1
 
4.8%
8257 1
 
4.8%
8259 1
 
4.8%
8289 3
14.3%
8298 1
 
4.8%
8324 1
 
4.8%
8329 1
 
4.8%
8341 1
 
4.8%
8353 1
 
4.8%
ValueCountFrequency (%)
8364 1
 
4.8%
8353 1
 
4.8%
8341 1
 
4.8%
8329 1
 
4.8%
8324 1
 
4.8%
8298 1
 
4.8%
8289 3
14.3%
8259 1
 
4.8%
8257 1
 
4.8%
8249 1
 
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T02:14:50.802886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.7619048
Min length2

Characters and Unicode

Total characters142
Distinct characters65
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row남부급식영업점
2nd row서울남부급식영업점
3rd row두산특수운수(주)
4th row(주)빛찬기업
5th row(주)에스에스티물류
ValueCountFrequency (%)
남부급식영업점 1
 
4.8%
주)신진월드물류 1
 
4.8%
개별화물 1
 
4.8%
대성 1
 
4.8%
주)신성운수 1
 
4.8%
개별용달 1
 
4.8%
무조건ok운송 1
 
4.8%
주)스카이엠 1
 
4.8%
광성물류(주 1
 
4.8%
태영유통 1
 
4.8%
Other values (11) 11
52.4%
2024-05-11T02:14:51.968938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 12
 
8.5%
주 12
 
8.5%
( 12
 
8.5%
스 6
 
4.2%
물 5
 
3.5%
운 5
 
3.5%
수 4
 
2.8%
류 4
 
2.8%
성 4
 
2.8%
영 4
 
2.8%
Other values (55) 74
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
81.7%
Close Punctuation 12
 
8.5%
Open Punctuation 12
 
8.5%
Lowercase Letter 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
10.3%
스 6
 
5.2%
물 5
 
4.3%
운 5
 
4.3%
수 4
 
3.4%
류 4
 
3.4%
성 4
 
3.4%
영 4
 
3.4%
로 3
 
2.6%
업 3
 
2.6%
Other values (51) 66
56.9%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
k 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
81.7%
Common 24
 
16.9%
Latin 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
10.3%
스 6
 
5.2%
물 5
 
4.3%
운 5
 
4.3%
수 4
 
3.4%
류 4
 
3.4%
성 4
 
3.4%
영 4
 
3.4%
로 3
 
2.6%
업 3
 
2.6%
Other values (51) 66
56.9%
Common
ValueCountFrequency (%)
) 12
50.0%
( 12
50.0%
Latin
ValueCountFrequency (%)
o 1
50.0%
k 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
81.7%
ASCII 26
 
18.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 12
46.2%
( 12
46.2%
o 1
 
3.8%
k 1
 
3.8%
Hangul
ValueCountFrequency (%)
주 12
 
10.3%
스 6
 
5.2%
물 5
 
4.3%
운 5
 
4.3%
수 4
 
3.4%
류 4
 
3.4%
성 4
 
3.4%
영 4
 
3.4%
로 3
 
2.6%
업 3
 
2.6%
Other values (51) 66
56.9%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2008-11-24 17:57:03
Maximum2023-10-19 15:12:48
2024-05-11T02:14:52.504131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:14:53.109485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
U
11 
I
10 

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 11
52.4%
I 10
47.6%

Length

2024-05-11T02:14:53.521052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:53.840089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 11
52.4%
i 10
47.6%

데이터갱신일자
Date

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 00:05:00
2024-05-11T02:14:54.134247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:14:54.557222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188221.73
Minimum184103.72
Maximum190601.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:14:55.120014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184103.72
5-th percentile184801.01
Q1186553.19
median189133.79
Q3190197.63
95-th percentile190349.89
Maximum190601.66
Range6497.9433
Interquartile range (IQR)3644.4356

Descriptive statistics

Standard deviation2117.9605
Coefficient of variation (CV)0.011252476
Kurtosis-0.97915962
Mean188221.73
Median Absolute Deviation (MAD)1216.1008
Skewness-0.68550769
Sum3952656.3
Variance4485756.7
MonotonicityNot monotonic
2024-05-11T02:14:55.691865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
189277.761702183 3
14.3%
189133.785005948 3
14.3%
190349.885855531 3
14.3%
190197.627242129 2
9.5%
187588.412153497 1
 
4.8%
186553.191644327 1
 
4.8%
190601.661795913 1
 
4.8%
186002.617431947 1
 
4.8%
188920.140623471 1
 
4.8%
184103.718488054 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
184103.718488054 1
 
4.8%
184801.013084773 1
 
4.8%
184993.304568268 1
 
4.8%
185495.173558734 1
 
4.8%
186002.617431947 1
 
4.8%
186553.191644327 1
 
4.8%
186917.536060845 1
 
4.8%
187588.412153497 1
 
4.8%
188920.140623471 1
 
4.8%
189133.785005948 3
14.3%
ValueCountFrequency (%)
190601.661795913 1
 
4.8%
190349.885855531 3
14.3%
190197.627242129 2
9.5%
189277.761702183 3
14.3%
189133.785005948 3
14.3%
188920.140623471 1
 
4.8%
187588.412153497 1
 
4.8%
186917.536060845 1
 
4.8%
186553.191644327 1
 
4.8%
186002.617431947 1
 
4.8%

좌표정보(Y)
Real number (ℝ)

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444014.4
Minimum442260.21
Maximum444836.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:14:56.271788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442260.21
5-th percentile442523.82
Q1443495.65
median444245.56
Q3444671.55
95-th percentile444836.67
Maximum444836.67
Range2576.4679
Interquartile range (IQR)1175.9007

Descriptive statistics

Standard deviation761.07174
Coefficient of variation (CV)0.0017140699
Kurtosis0.025074751
Mean444014.4
Median Absolute Deviation (MAD)425.98838
Skewness-0.87678525
Sum9324302.5
Variance579230.2
MonotonicityNot monotonic
2024-05-11T02:14:56.917972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
444671.551731639 3
14.3%
444562.755976432 3
14.3%
444836.673561831 3
14.3%
444245.56335468 2
9.5%
443262.596060615 1
 
4.8%
443884.872627098 1
 
4.8%
443226.994309226 1
 
4.8%
443381.333087845 1
 
4.8%
443495.650988679 1
 
4.8%
443851.408941097 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
442260.205620159 1
4.8%
442523.815502263 1
4.8%
443226.994309226 1
4.8%
443262.596060615 1
4.8%
443381.333087845 1
4.8%
443495.650988679 1
4.8%
443811.605420388 1
4.8%
443851.408941097 1
4.8%
443884.872627098 1
4.8%
443899.93914531 1
4.8%
ValueCountFrequency (%)
444836.673561831 3
14.3%
444671.551731639 3
14.3%
444562.755976432 3
14.3%
444245.56335468 2
9.5%
443899.93914531 1
 
4.8%
443884.872627098 1
 
4.8%
443851.408941097 1
 
4.8%
443811.605420388 1
 
4.8%
443495.650988679 1
 
4.8%
443381.333087845 1
 
4.8%

축산업무구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
축산물운반업
14 
<NA>
7 

Length

Max length6
Median length6
Mean length5.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물운반업 14
66.7%
<NA> 7
33.3%

Length

2024-05-11T02:14:57.378702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:57.778091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 14
66.7%
na 7
33.3%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

축산일련번호
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
17 
0
4 

Length

Max length4
Median length4
Mean length3.4285714
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> 17
81.0%
0 4
 
19.0%

Length

2024-05-11T02:14:58.161240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:58.579012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
81.0%
0 4
 
19.0%

권리주체일련번호
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
000
7 
L00
7 
<NA>
7 

Length

Max length4
Median length3
Mean length3.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 7
33.3%
L00 7
33.3%
<NA> 7
33.3%

Length

2024-05-11T02:14:59.142904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:59.625484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 7
33.3%
l00 7
33.3%
na 7
33.3%

총인원
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
17 
0
4 

Length

Max length4
Median length4
Mean length3.4285714
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> 17
81.0%
0 4
 
19.0%

Length

2024-05-11T02:15:00.068772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:15:00.548077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
81.0%
0 4
 
19.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0316000031600000082006000120060525<NA>3폐업2폐업20210415<NA><NA><NA>2625-650172.0<NA>서울특별시 구로구 개봉동 ***-**서울특별시 구로구 개봉로*길 ***-** (개봉동)8329남부급식영업점2021-04-15 12:31:45U2021-04-17 02:40:00.0<NA>187588.412153443262.596061축산물운반업<NA><NA>000<NA>
1316000031600000082007000120070322<NA>3폐업2폐업20190322<NA><NA><NA>2625-650118.11<NA>서울특별시 구로구 오류동 ***번지 동부돌타운(아)상가 ***-***호서울특별시 구로구 경인로 ***-** (오류동,동부돌타운(아)상가 ***-***호)<NA>서울남부급식영업점2019-03-22 13:25:30U2019-03-24 02:40:00.0<NA>186553.191644443884.872627축산물운반업<NA><NA>000<NA>
2316000031600000082007000220071102<NA>3폐업2폐업20081124<NA><NA><NA>865-45880.0<NA>서울특별시 구로구 구로동 ***-*번지 일진빌딩 *층서울특별시 구로구 도림로 *** (구로동,일진빌딩 *층)<NA>두산특수운수(주)2008-11-24 17:57:03I2018-08-31 23:59:59.0<NA>190601.661796443226.994309축산물운반업<NA><NA>000<NA>
3316000031600000082009000120091207<NA>3폐업2폐업20140923<NA><NA><NA>2637-537336.0<NA>서울특별시 구로구 구로동 ***-*번지 구로공구상가 D블럭 **동 ***호<NA><NA>(주)빛찬기업2014-09-23 09:34:54I2018-08-31 23:59:59.0<NA>189277.761702444671.551732축산물운반업<NA><NA>L00<NA>
4316000031600000082010000120100617<NA>3폐업2폐업20210415<NA><NA><NA><NA>36.0<NA>서울특별시 구로구 구로동 ***서울특별시 구로구 공원로 ** (구로동,현대파크빌 ***호)<NA>(주)에스에스티물류2021-04-15 12:31:04U2021-04-17 02:40:00.0<NA>190197.627242444245.563355축산물운반업<NA><NA>L00<NA>
5316000031600000082010000220100708<NA>1영업/정상0정상<NA><NA><NA><NA>31764872327.5<NA>서울특별시 구로구 구로동 ***-* 구로기계공구상가서울특별시 구로구 구로중앙로 ***, 구로기계공구상가 D-**동 ***호 (구로동)8212(주)태영로지스2022-12-01 13:24:50U2021-11-02 00:03:00.0<NA>189133.785006444562.755976<NA><NA><NA><NA><NA>
6316000031600000082010000320101026<NA>3폐업2폐업20201106<NA><NA><NA>2689287372.0<NA>서울특별시 구로구 오류동 ***-**서울특별시 구로구 서해안로 **** (오류동)8341케이디씨스템2020-11-06 12:27:23U2020-11-08 02:40:00.0<NA>186002.617432443381.333088축산물운반업<NA><NA>000<NA>
7316000031600000082010000420101027<NA>4취소/말소/만료/정지/중지4말소20141204<NA><NA><NA>6403-833836.0<NA>서울특별시 구로구 구로동 ***-*번지<NA><NA>(주)로지뱅크2016-08-03 14:06:37I2018-08-31 23:59:59.0<NA>189277.761702444671.551732축산물운반업<NA><NA>L00<NA>
831600003160000008201200012012-01-30<NA>1영업/정상0정상<NA><NA><NA><NA>2612419820.0<NA>서울특별시 구로구 구로동 ***-*서울특별시 구로구 구로중앙로 ***, **동 ***호 (구로동)8212원일통상운수(주)2023-07-14 16:21:44U2022-12-06 23:06:00.0<NA>189277.761702444671.551732<NA><NA><NA><NA><NA>
9316000031600000082014000120140502<NA>1영업/정상0정상<NA><NA><NA><NA><NA>70.0<NA>서울특별시 구로구 구로동 ***번지서울특별시 구로구 공원로 ** (구로동)8298현종물류(주)2019-11-25 10:43:08U2019-11-27 02:40:00.0<NA>190197.627242444245.563355축산물운반업<NA><NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
11316000031600000082018000120180302<NA>1영업/정상0정상<NA><NA><NA><NA>2671-966622.95<NA>서울특별시 구로구 구로동 ***-*번지 구로기계공구상가 D블럭 **동 ***-*호서울특별시 구로구 구로중앙로 ***, 구로기계공구상가 D블럭 **동 ***-*호 (구로동)8212(주)신진월드물류2018-03-02 10:08:35I2018-08-31 23:59:59.0<NA>189133.785006444562.755976축산물운반업<NA><NA>L00<NA>
12316000031600000082019000120190516<NA>1영업/정상0정상<NA><NA><NA><NA><NA>73.08<NA>서울특별시 구로구 구로동 ***-***번지 구로주공아파트 ***동 ****호서울특별시 구로구 구일로*길 **, ***동 ****호 (구로동, 구로주공아파트)8324태영유통2019-05-16 17:54:11I2019-05-18 02:20:49.0<NA>188920.140623443495.650989축산물운반업<NA><NA>000<NA>
13316000031600000082019000220191016<NA>1영업/정상0정상<NA><NA><NA><NA>3138105634.5<NA>서울특별시 구로구 구로동 ***-* 구로기계공구상가 **동 ***호서울특별시 구로구 구로중앙로 ***, 구로기계공구상가 **동 ***호 (구로동)8212광성물류(주)2021-08-05 09:50:49U2021-08-07 02:40:00.0<NA>189133.785006444562.755976축산물운반업<NA>0L000
14316000031600000082021000120210729<NA>1영업/정상0정상<NA><NA><NA><NA>02-6080-323333.69<NA>서울특별시 구로구 구로동 ** 신도림포스빌 ****호서울특별시 구로구 새말로 ***, 신도림포스빌 ****호 (구로동)8289(주)스카이엠2021-07-29 08:53:11I2021-07-31 00:22:51.0<NA>190349.885856444836.673562축산물운반업<NA>0L000
15316000031600000082021000220210729<NA>1영업/정상0정상<NA><NA><NA><NA><NA>6.14<NA>서울특별시 구로구 온수동 *** 온수 힐스테이트서울특별시 구로구 부일로*길 ***, ***동 ***호 (온수동, 온수 힐스테이트)8259무조건ok운송2021-07-29 15:52:33I2021-07-31 00:22:51.0<NA>184103.718488443851.408941축산물운반업<NA>00000
16316000031600000082021000320210729<NA>1영업/정상0정상<NA><NA><NA><NA><NA>7.28<NA>서울특별시 구로구 궁동 ***-** 동오그린빌라트 ***동 ***호서울특별시 구로구 오리로**길 **, ***동 ***호 (궁동, 동오그린빌라트)8257개별용달2021-07-29 16:41:01I2021-07-31 00:22:51.0<NA>184801.013085443811.60542축산물운반업<NA>00000
1731600003160000008202100042011-10-05<NA>1영업/정상0정상<NA><NA><NA><NA>31286224833.69<NA>서울특별시 구로구 구로동 ** 신도림포스빌 ****호서울특별시 구로구 새말로 ***, 신도림포스빌 ****호 (구로동)8289(주)신성운수2023-07-26 09:28:43U2022-12-06 22:08:00.0<NA>190349.885856444836.673562<NA><NA><NA><NA><NA>
1831600003160000008202100052021-12-20<NA>3폐업2폐업2023-10-19<NA><NA><NA><NA>8.4<NA>서울특별시 구로구 개봉동 ***-* 한진빌리지 ***호서울특별시 구로구 개봉로*가길 **-**, ***호 (개봉동, 한진빌리지)8353대성2023-10-19 15:12:48U2022-10-30 22:01:00.0<NA>186917.536061442523.815502<NA><NA><NA><NA><NA>
19316000031600000082022000120221220<NA>1영업/정상0정상<NA><NA><NA><NA><NA>11.62<NA>서울특별시 구로구 천왕동 273-12 102동 202호서울특별시 구로구 천왕로1가길 9, 102동 202호 (천왕동, 천왕타운하우스3)8364개별화물2022-12-20 14:55:18I2021-11-01 22:02:00.0<NA>185495.173559442260.20562<NA><NA><NA><NA><NA>
20316000031600000082023000120230118<NA>1영업/정상0정상<NA><NA><NA><NA><NA>4.2<NA>서울특별시 구로구 궁동 ***-** 강남그린아파트서울특별시 구로구 오리로**길 **, ***호 (궁동, 강남그린아파트)8249송암운송2023-01-18 10:16:28I2022-11-30 22:00:00.0<NA>184993.304568443899.939145<NA><NA><NA><NA><NA>