Overview

Dataset statistics

Number of variables30
Number of observations33
Missing cells238
Missing cells (%)24.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory260.0 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18143/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
축산일련번호 is highly imbalanced (67.0%)Imbalance
총인원 is highly imbalanced (67.0%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 8 (24.2%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
전화번호 has 17 (51.5%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
도로명주소 has 1 (3.0%) missing valuesMissing
도로명우편번호 has 14 (42.4%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 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
소재지면적 has 23 (69.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:39:22.027082
Analysis finished2024-05-11 05:39:22.684438
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3160000
33 

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 33
100.0%

Length

2024-05-11T14:39:22.837434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:22.998909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 33
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1600001 × 1017
Minimum3.16 × 1017
Maximum3.1600001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:39:23.172182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.16 × 1017
5-th percentile3.16 × 1017
Q13.16 × 1017
median3.1600001 × 1017
Q33.1600001 × 1017
95-th percentile3.1600001 × 1017
Maximum3.1600001 × 1017
Range1.00002 × 1010
Interquartile range (IQR)1.00001 × 1010

Descriptive statistics

Standard deviation4.9620259 × 109
Coefficient of variation (CV)1.5702613 × 10-8
Kurtosis-1.9128536
Mean3.1600001 × 1017
Median Absolute Deviation (MAD)70016
Skewness-0.45507359
Sum-8.0187439 × 1018
Variance2.4621701 × 1019
MonotonicityStrictly increasing
2024-05-11T14:39:23.389451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
316000000420020001 1
 
3.0%
316000010420170001 1
 
3.0%
316000010420130002 1
 
3.0%
316000010420160001 1
 
3.0%
316000010420160002 1
 
3.0%
316000010420160003 1
 
3.0%
316000010420160004 1
 
3.0%
316000010420160005 1
 
3.0%
316000010420170002 1
 
3.0%
316000000420040002 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
316000000420020001 1
3.0%
316000000420040002 1
3.0%
316000000420040004 1
3.0%
316000000420050001 1
3.0%
316000000420050006 1
3.0%
316000000420050007 1
3.0%
316000000420060001 1
3.0%
316000000420060002 1
3.0%
316000000420060003 1
3.0%
316000000420060004 1
3.0%
ValueCountFrequency (%)
316000010420220002 1
3.0%
316000010420220001 1
3.0%
316000010420200001 1
3.0%
316000010420180003 1
3.0%
316000010420180002 1
3.0%
316000010420180001 1
3.0%
316000010420170002 1
3.0%
316000010420170001 1
3.0%
316000010420160005 1
3.0%
316000010420160004 1
3.0%

인허가일자
Date

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2002-07-05 00:00:00
Maximum2022-11-16 00:00:00
2024-05-11T14:39:23.614928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:23.836507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
3
25 
1
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 25
75.8%
1 8
 
24.2%

Length

2024-05-11T14:39:24.094932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:24.295093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 25
75.8%
1 8
 
24.2%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
폐업
25 
영업/정상
8 

Length

Max length5
Median length2
Mean length2.7272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 25
75.8%
영업/정상 8
 
24.2%

Length

2024-05-11T14:39:24.472862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:24.655828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 25
75.8%
영업/정상 8
 
24.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
2
25 
0
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 25
75.8%
0 8
 
24.2%

Length

2024-05-11T14:39:24.851211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:25.025583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 25
75.8%
0 8
 
24.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
폐업
25 
정상
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 25
75.8%
정상 8
 
24.2%

Length

2024-05-11T14:39:25.210214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:25.361594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 25
75.8%
정상 8
 
24.2%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing8
Missing (%)24.2%
Memory size396.0 B
Minimum2007-03-05 00:00:00
Maximum2023-08-31 00:00:00
2024-05-11T14:39:25.523759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:25.807960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing17
Missing (%)51.5%
Memory size396.0 B
2024-05-11T14:39:26.070536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.3125
Min length7

Characters and Unicode

Total characters133
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

Unique16 ?
Unique (%)100.0%

Sample

1st row851-0877
2nd row839-2487
3rd row2060-7998
4th row869-3999
5th row851-0233
ValueCountFrequency (%)
867-7033 1
 
6.2%
839-2487 1
 
6.2%
2060-7998 1
 
6.2%
869-3999 1
 
6.2%
851-0233 1
 
6.2%
868-3588 1
 
6.2%
863-3358 1
 
6.2%
869-1555 1
 
6.2%
851-0877 1
 
6.2%
8322722 1
 
6.2%
Other values (6) 6
37.5%
2024-05-11T14:39:26.582277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 19
14.3%
8 18
13.5%
2 18
13.5%
- 14
10.5%
6 13
9.8%
0 13
9.8%
5 10
7.5%
9 9
6.8%
7 8
6.0%
1 8
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 119
89.5%
Dash Punctuation 14
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 19
16.0%
8 18
15.1%
2 18
15.1%
6 13
10.9%
0 13
10.9%
5 10
8.4%
9 9
7.6%
7 8
6.7%
1 8
6.7%
4 3
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 19
14.3%
8 18
13.5%
2 18
13.5%
- 14
10.5%
6 13
9.8%
0 13
9.8%
5 10
7.5%
9 9
6.8%
7 8
6.0%
1 8
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 19
14.3%
8 18
13.5%
2 18
13.5%
- 14
10.5%
6 13
9.8%
0 13
9.8%
5 10
7.5%
9 9
6.8%
7 8
6.0%
1 8
6.0%

소재지면적
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.612727
Minimum0
Maximum478
Zeros23
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:39:26.774717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319.88
95-th percentile261.8
Maximum478
Range478
Interquartile range (IQR)19.88

Descriptive statistics

Standard deviation104.2681
Coefficient of variation (CV)2.446877
Kurtosis10.206668
Mean42.612727
Median Absolute Deviation (MAD)0
Skewness3.1368861
Sum1406.22
Variance10871.837
MonotonicityNot monotonic
2024-05-11T14:39:26.937966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 23
69.7%
40.2 1
 
3.0%
19.38 1
 
3.0%
30.57 1
 
3.0%
109.89 1
 
3.0%
62.0 1
 
3.0%
106.8 1
 
3.0%
19.88 1
 
3.0%
230.0 1
 
3.0%
309.5 1
 
3.0%
ValueCountFrequency (%)
0.0 23
69.7%
19.38 1
 
3.0%
19.88 1
 
3.0%
30.57 1
 
3.0%
40.2 1
 
3.0%
62.0 1
 
3.0%
106.8 1
 
3.0%
109.89 1
 
3.0%
230.0 1
 
3.0%
309.5 1
 
3.0%
ValueCountFrequency (%)
478.0 1
3.0%
309.5 1
3.0%
230.0 1
3.0%
109.89 1
3.0%
106.8 1
3.0%
62.0 1
3.0%
40.2 1
3.0%
30.57 1
3.0%
19.88 1
3.0%
19.38 1
3.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T14:39:27.239041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length23.939394
Min length17

Characters and Unicode

Total characters790
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 가리봉동 123-9번지
2nd row서울특별시 구로구 구로동 482-1번지
3rd row서울특별시 구로구 구로동 417-2번지
4th row서울특별시 구로구 개봉동 105-21번지
5th row서울특별시 구로구 가리봉동 2-175번지
ValueCountFrequency (%)
서울특별시 33
22.9%
구로구 33
22.9%
구로동 10
 
6.9%
가리봉동 9
 
6.2%
개봉동 6
 
4.2%
고척동 5
 
3.5%
2-177번지 2
 
1.4%
지하1층 2
 
1.4%
지층 2
 
1.4%
신도림동 1
 
0.7%
Other values (41) 41
28.5%
2024-05-11T14:39:27.842155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
17.6%
구 76
 
9.6%
로 44
 
5.6%
1 39
 
4.9%
울 33
 
4.2%
동 33
 
4.2%
서 33
 
4.2%
시 33
 
4.2%
별 33
 
4.2%
특 33
 
4.2%
Other values (47) 294
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 456
57.7%
Decimal Number 159
 
20.1%
Space Separator 139
 
17.6%
Dash Punctuation 29
 
3.7%
Other Punctuation 3
 
0.4%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 76
16.7%
로 44
9.6%
울 33
 
7.2%
동 33
 
7.2%
서 33
 
7.2%
시 33
 
7.2%
별 33
 
7.2%
특 33
 
7.2%
지 29
 
6.4%
번 23
 
5.0%
Other values (32) 86
18.9%
Decimal Number
ValueCountFrequency (%)
1 39
24.5%
2 28
17.6%
7 16
10.1%
3 14
 
8.8%
5 13
 
8.2%
0 13
 
8.2%
4 12
 
7.5%
6 9
 
5.7%
8 8
 
5.0%
9 7
 
4.4%
Space Separator
ValueCountFrequency (%)
139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 456
57.7%
Common 334
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 76
16.7%
로 44
9.6%
울 33
 
7.2%
동 33
 
7.2%
서 33
 
7.2%
시 33
 
7.2%
별 33
 
7.2%
특 33
 
7.2%
지 29
 
6.4%
번 23
 
5.0%
Other values (32) 86
18.9%
Common
ValueCountFrequency (%)
139
41.6%
1 39
 
11.7%
- 29
 
8.7%
2 28
 
8.4%
7 16
 
4.8%
3 14
 
4.2%
5 13
 
3.9%
0 13
 
3.9%
4 12
 
3.6%
6 9
 
2.7%
Other values (5) 22
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 456
57.7%
ASCII 334
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
41.6%
1 39
 
11.7%
- 29
 
8.7%
2 28
 
8.4%
7 16
 
4.8%
3 14
 
4.2%
5 13
 
3.9%
0 13
 
3.9%
4 12
 
3.6%
6 9
 
2.7%
Other values (5) 22
 
6.6%
Hangul
ValueCountFrequency (%)
구 76
16.7%
로 44
9.6%
울 33
 
7.2%
동 33
 
7.2%
서 33
 
7.2%
시 33
 
7.2%
별 33
 
7.2%
특 33
 
7.2%
지 29
 
6.4%
번 23
 
5.0%
Other values (32) 86
18.9%

도로명주소
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing1
Missing (%)3.0%
Memory size396.0 B
2024-05-11T14:39:28.235983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length30.8125
Min length23

Characters and Unicode

Total characters986
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 우마1길 12 (가리봉동)
2nd row서울특별시 구로구 구로동로 197 (구로동)
3rd row서울특별시 구로구 구로동로 180 (구로동)
4th row서울특별시 구로구 고척로27길 93-60 (개봉동)
5th row서울특별시 구로구 남부순환로105길 258 (가리봉동)
ValueCountFrequency (%)
서울특별시 32
17.9%
구로구 32
17.9%
구로동 9
 
5.0%
가리봉동 7
 
3.9%
개봉동 6
 
3.4%
남부순환로105길 6
 
3.4%
1층 5
 
2.8%
고척동 4
 
2.2%
248 4
 
2.2%
구로동로 4
 
2.2%
Other values (63) 70
39.1%
2024-05-11T14:39:28.879990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
14.9%
구 82
 
8.3%
로 81
 
8.2%
1 45
 
4.6%
동 39
 
4.0%
( 34
 
3.4%
) 34
 
3.4%
서 33
 
3.3%
특 32
 
3.2%
별 32
 
3.2%
Other values (65) 427
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
57.7%
Decimal Number 172
 
17.4%
Space Separator 147
 
14.9%
Open Punctuation 34
 
3.4%
Close Punctuation 34
 
3.4%
Other Punctuation 25
 
2.5%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 82
14.4%
로 81
14.2%
동 39
 
6.9%
서 33
 
5.8%
특 32
 
5.6%
별 32
 
5.6%
시 32
 
5.6%
울 32
 
5.6%
길 25
 
4.4%
봉 19
 
3.3%
Other values (50) 162
28.5%
Decimal Number
ValueCountFrequency (%)
1 45
26.2%
2 32
18.6%
0 19
11.0%
8 18
 
10.5%
3 14
 
8.1%
5 12
 
7.0%
4 11
 
6.4%
7 9
 
5.2%
9 8
 
4.7%
6 4
 
2.3%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
57.7%
Common 417
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 82
14.4%
로 81
14.2%
동 39
 
6.9%
서 33
 
5.8%
특 32
 
5.6%
별 32
 
5.6%
시 32
 
5.6%
울 32
 
5.6%
길 25
 
4.4%
봉 19
 
3.3%
Other values (50) 162
28.5%
Common
ValueCountFrequency (%)
147
35.3%
1 45
 
10.8%
( 34
 
8.2%
) 34
 
8.2%
2 32
 
7.7%
, 25
 
6.0%
0 19
 
4.6%
8 18
 
4.3%
3 14
 
3.4%
5 12
 
2.9%
Other values (5) 37
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
57.7%
ASCII 417
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
35.3%
1 45
 
10.8%
( 34
 
8.2%
) 34
 
8.2%
2 32
 
7.7%
, 25
 
6.0%
0 19
 
4.6%
8 18
 
4.3%
3 14
 
3.4%
5 12
 
2.9%
Other values (5) 37
 
8.9%
Hangul
ValueCountFrequency (%)
구 82
14.4%
로 81
14.2%
동 39
 
6.9%
서 33
 
5.8%
특 32
 
5.6%
별 32
 
5.6%
시 32
 
5.6%
울 32
 
5.6%
길 25
 
4.4%
봉 19
 
3.3%
Other values (50) 162
28.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing14
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean8301.2632
Minimum8203
Maximum8394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:39:29.057996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8203
5-th percentile8216.5
Q18277
median8304
Q38325
95-th percentile8384.1
Maximum8394
Range191
Interquartile range (IQR)48

Descriptive statistics

Standard deviation52.878101
Coefficient of variation (CV)0.0063698861
Kurtosis-0.41699441
Mean8301.2632
Median Absolute Deviation (MAD)27
Skewness-0.1379068
Sum157724
Variance2796.0936
MonotonicityNot monotonic
2024-05-11T14:39:29.222977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
8321 4
 
12.1%
8277 2
 
6.1%
8218 1
 
3.0%
8282 1
 
3.0%
8228 1
 
3.0%
8251 1
 
3.0%
8304 1
 
3.0%
8203 1
 
3.0%
8353 1
 
3.0%
8394 1
 
3.0%
Other values (5) 5
 
15.2%
(Missing) 14
42.4%
ValueCountFrequency (%)
8203 1
 
3.0%
8218 1
 
3.0%
8228 1
 
3.0%
8251 1
 
3.0%
8277 2
6.1%
8282 1
 
3.0%
8285 1
 
3.0%
8294 1
 
3.0%
8304 1
 
3.0%
8321 4
12.1%
ValueCountFrequency (%)
8394 1
 
3.0%
8383 1
 
3.0%
8362 1
 
3.0%
8353 1
 
3.0%
8329 1
 
3.0%
8321 4
12.1%
8304 1
 
3.0%
8294 1
 
3.0%
8285 1
 
3.0%
8282 1
 
3.0%

사업장명
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T14:39:29.503302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.4848485
Min length4

Characters and Unicode

Total characters214
Distinct characters94
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

Unique27 ?
Unique (%)81.8%

Sample

1st row예당무역
2nd row한중식품
3rd row하나상회
4th row동아미트
5th row제일축산육가공
ValueCountFrequency (%)
주식회사 4
 
10.3%
제일축산육가공 2
 
5.1%
다인식품 2
 
5.1%
한중식품 2
 
5.1%
주)하오식품 2
 
5.1%
행복한푸드 1
 
2.6%
케이와이컴퍼니 1
 
2.6%
우성푸드 1
 
2.6%
meat 1
 
2.6%
두레유통 1
 
2.6%
Other values (22) 22
56.4%
2024-05-11T14:39:30.014418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 14
 
6.5%
주 12
 
5.6%
품 10
 
4.7%
) 8
 
3.7%
( 8
 
3.7%
푸 7
 
3.3%
6
 
2.8%
드 6
 
2.8%
산 5
 
2.3%
회 5
 
2.3%
Other values (84) 133
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
81.3%
Close Punctuation 8
 
3.7%
Open Punctuation 8
 
3.7%
Lowercase Letter 8
 
3.7%
Space Separator 6
 
2.8%
Uppercase Letter 6
 
2.8%
Decimal Number 3
 
1.4%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 14
 
8.0%
주 12
 
6.9%
품 10
 
5.7%
푸 7
 
4.0%
드 6
 
3.4%
산 5
 
2.9%
회 5
 
2.9%
이 5
 
2.9%
통 4
 
2.3%
유 4
 
2.3%
Other values (66) 102
58.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
t 2
25.0%
c 1
12.5%
k 1
12.5%
a 1
12.5%
u 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
B 1
16.7%
C 1
16.7%
F 1
16.7%
S 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
1 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
81.3%
Common 26
 
12.1%
Latin 14
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 14
 
8.0%
주 12
 
6.9%
품 10
 
5.7%
푸 7
 
4.0%
드 6
 
3.4%
산 5
 
2.9%
회 5
 
2.9%
이 5
 
2.9%
통 4
 
2.3%
유 4
 
2.3%
Other values (66) 102
58.6%
Latin
ValueCountFrequency (%)
e 2
14.3%
t 2
14.3%
M 2
14.3%
B 1
7.1%
c 1
7.1%
k 1
7.1%
a 1
7.1%
u 1
7.1%
C 1
7.1%
F 1
7.1%
Common
ValueCountFrequency (%)
) 8
30.8%
( 8
30.8%
6
23.1%
3 1
 
3.8%
5 1
 
3.8%
& 1
 
3.8%
1 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
81.3%
ASCII 40
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 14
 
8.0%
주 12
 
6.9%
품 10
 
5.7%
푸 7
 
4.0%
드 6
 
3.4%
산 5
 
2.9%
회 5
 
2.9%
이 5
 
2.9%
통 4
 
2.3%
유 4
 
2.3%
Other values (66) 102
58.6%
ASCII
ValueCountFrequency (%)
) 8
20.0%
( 8
20.0%
6
15.0%
e 2
 
5.0%
t 2
 
5.0%
M 2
 
5.0%
B 1
 
2.5%
c 1
 
2.5%
k 1
 
2.5%
a 1
 
2.5%
Other values (8) 8
20.0%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2007-03-05 15:10:34
Maximum2023-08-31 16:51:26
2024-05-11T14:39:30.234876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:30.469476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
22 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 22
66.7%
U 11
33.3%

Length

2024-05-11T14:39:30.665766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:30.830888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
66.7%
u 11
33.3%

데이터갱신일자
Date

Distinct14
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-09 00:02:00
2024-05-11T14:39:31.007202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:31.178647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188516.67
Minimum183807.12
Maximum190447.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:39:31.369594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183807.12
5-th percentile186045.31
Q1187234.72
median189477.93
Q3189607.33
95-th percentile190227.31
Maximum190447.42
Range6640.3068
Interquartile range (IQR)2372.6161

Descriptive statistics

Standard deviation1677.9441
Coefficient of variation (CV)0.008900773
Kurtosis0.096528601
Mean188516.67
Median Absolute Deviation (MAD)624.13229
Skewness-0.93990325
Sum6221050.2
Variance2815496.4
MonotonicityNot monotonic
2024-05-11T14:39:31.566903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
189477.925684172 3
 
9.1%
189438.489638893 2
 
6.1%
190050.300695576 1
 
3.0%
187602.497855819 1
 
3.0%
187234.286075422 1
 
3.0%
183807.118188697 1
 
3.0%
187277.191590525 1
 
3.0%
189590.211850768 1
 
3.0%
187260.284546803 1
 
3.0%
190143.595205387 1
 
3.0%
Other values (20) 20
60.6%
ValueCountFrequency (%)
183807.118188697 1
3.0%
186020.403287657 1
3.0%
186061.914454819 1
3.0%
186217.576246552 1
3.0%
186393.735611682 1
3.0%
186468.001764043 1
3.0%
187025.031221309 1
3.0%
187234.286075422 1
3.0%
187234.716314121 1
3.0%
187260.284546803 1
3.0%
ValueCountFrequency (%)
190447.424985193 1
3.0%
190352.87495777 1
3.0%
190143.595205387 1
3.0%
190102.057970393 1
3.0%
190050.300695576 1
3.0%
189952.104658645 1
3.0%
189882.318196534 1
3.0%
189753.507271125 1
3.0%
189607.332402564 1
3.0%
189591.500304007 1
3.0%

좌표정보(Y)
Real number (ℝ)

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443407.76
Minimum441599.36
Maximum445397.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:39:31.774133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441599.36
5-th percentile442127.75
Q1442613.07
median443473.96
Q3444208.58
95-th percentile444921.23
Maximum445397.81
Range3798.4592
Interquartile range (IQR)1595.504

Descriptive statistics

Standard deviation1016.9406
Coefficient of variation (CV)0.0022934659
Kurtosis-1.0241923
Mean443407.76
Median Absolute Deviation (MAD)860.88584
Skewness0.256671
Sum14632456
Variance1034168.2
MonotonicityNot monotonic
2024-05-11T14:39:32.034631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
442613.074331227 3
 
9.1%
442635.002844386 2
 
6.1%
442260.629810283 1
 
3.0%
444775.888454042 1
 
3.0%
443473.960166508 1
 
3.0%
441599.355055656 1
 
3.0%
443769.210392991 1
 
3.0%
443608.794738617 1
 
3.0%
443802.369696204 1
 
3.0%
442247.539159585 1
 
3.0%
Other values (20) 20
60.6%
ValueCountFrequency (%)
441599.355055656 1
 
3.0%
442071.447779897 1
 
3.0%
442165.29133189 1
 
3.0%
442247.539159585 1
 
3.0%
442260.629810283 1
 
3.0%
442479.332343729 1
 
3.0%
442597.195341915 1
 
3.0%
442604.233325082 1
 
3.0%
442613.074331227 3
9.1%
442619.810669762 1
 
3.0%
ValueCountFrequency (%)
445397.814248901 1
3.0%
444997.804301541 1
3.0%
444870.178080732 1
3.0%
444801.585741294 1
3.0%
444789.654996088 1
3.0%
444775.888454042 1
3.0%
444656.215736661 1
3.0%
444228.558476297 1
3.0%
444208.578364826 1
3.0%
443802.369696204 1
3.0%

축산업무구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
식육포장처리업
28 
<NA>
5 

Length

Max length7
Median length7
Mean length6.5454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 28
84.8%
<NA> 5
 
15.2%

Length

2024-05-11T14:39:32.600548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:32.852301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 28
84.8%
na 5
 
15.2%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
식육포장처리업
28 
<NA>
5 

Length

Max length7
Median length7
Mean length6.5454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 28
84.8%
<NA> 5
 
15.2%

Length

2024-05-11T14:39:33.039324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:33.232882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 28
84.8%
na 5
 
15.2%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
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> 31
93.9%
0 2
 
6.1%

Length

2024-05-11T14:39:33.440125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:33.613592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

권리주체일련번호
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
000
18 
L00
10 
<NA>
5 

Length

Max length4
Median length3
Mean length3.1515152
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 18
54.5%
L00 10
30.3%
<NA> 5
 
15.2%

Length

2024-05-11T14:39:33.776104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:33.944809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 18
54.5%
l00 10
30.3%
na 5
 
15.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
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> 31
93.9%
0 2
 
6.1%

Length

2024-05-11T14:39:34.109794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:34.294374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0316000031600000042002000120020705<NA>3폐업2폐업20110405<NA><NA><NA>851-087740.2<NA>서울특별시 구로구 가리봉동 123-9번지서울특별시 구로구 우마1길 12 (가리봉동)<NA>예당무역2011-04-05 17:55:55I2018-08-31 23:59:59.0<NA>190050.300696442260.62981식육포장처리업식육포장처리업<NA>000<NA>
1316000031600000042004000220040921<NA>3폐업2폐업20140630<NA><NA><NA><NA>19.38<NA>서울특별시 구로구 구로동 482-1번지서울특별시 구로구 구로동로 197 (구로동)<NA>한중식품2014-06-30 09:53:58I2018-08-31 23:59:59.0<NA>189521.615185443778.634636식육포장처리업식육포장처리업<NA>000<NA>
2316000031600000042004000420040709<NA>3폐업2폐업20111215<NA><NA><NA>839-248730.57<NA>서울특별시 구로구 구로동 417-2번지서울특별시 구로구 구로동로 180 (구로동)<NA>하나상회2011-12-15 13:21:50I2018-08-31 23:59:59.0<NA>189591.500304443598.348353식육포장처리업식육포장처리업<NA>000<NA>
3316000031600000042005000120050115<NA>3폐업2폐업20170425<NA><NA><NA>2060-7998109.89<NA>서울특별시 구로구 개봉동 105-21번지서울특별시 구로구 고척로27길 93-60 (개봉동)<NA>동아미트2017-04-25 16:21:55I2018-08-31 23:59:59.0<NA>186217.576247444870.178081식육포장처리업식육포장처리업<NA>000<NA>
4316000031600000042005000620051101<NA>3폐업2폐업20140207<NA><NA><NA><NA>62.0<NA>서울특별시 구로구 가리봉동 2-175번지서울특별시 구로구 남부순환로105길 258 (가리봉동)8321제일축산육가공2014-02-07 10:33:26I2018-08-31 23:59:59.0<NA>189438.489639442635.002844식육포장처리업식육포장처리업<NA>000<NA>
5316000031600000042005000720050127<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 구로구 고척동 325 경남1차아파트서울특별시 구로구 경인로47길 150, 상가동 1층 101,102호 (고척동, 경남1차아파트)8218(주)대명식품2021-07-16 15:10:22U2021-07-18 02:40:00.0<NA>187792.909711444801.585741식육포장처리업식육포장처리업0L000
6316000031600000042006000120060329<NA>3폐업2폐업20090130<NA><NA><NA><NA>106.8<NA>서울특별시 구로구 천왕동 9-69번지<NA><NA>하나F&C2009-01-30 16:25:16I2018-08-31 23:59:59.0<NA>186061.914455442479.332344식육포장처리업식육포장처리업<NA>000<NA>
7316000031600000042006000220060410<NA>3폐업2폐업20070305<NA><NA><NA>869-39990.0<NA>서울특별시 구로구 가리봉동 2-177번지 ,227서울특별시 구로구 남부순환로105길 248 (가리봉동,,227)<NA>다원식품2007-03-05 15:10:34I2018-08-31 23:59:59.0<NA>189477.925684442613.074331식육포장처리업식육포장처리업<NA>000<NA>
8316000031600000042006000320060504<NA>3폐업2폐업20100615<NA><NA><NA>851-023319.88<NA>서울특별시 구로구 구로동 446-45번지서울특별시 구로구 구로동로38길 36 (구로동)<NA>성지축산유통2010-06-15 09:34:59I2018-08-31 23:59:59.0<NA>189753.507271443633.832086식육포장처리업식육포장처리업<NA>000<NA>
9316000031600000042006000420060711<NA>3폐업2폐업20110426<NA><NA><NA>868-35880.0<NA>서울특별시 구로구 가리봉동 2-177번지 외 1필지(227)서울특별시 구로구 남부순환로105길 248 (가리봉동,외 1필지(227))<NA>(주)돈딴지2011-04-26 17:15:16I2018-08-31 23:59:59.0<NA>189477.925684442613.074331식육포장처리업식육포장처리업<NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
23316000031600001042016000420160701<NA>3폐업2폐업20200131<NA><NA><NA><NA>0.0<NA>서울특별시 구로구 구로동 851번지서울특별시 구로구 디지털로 242, 301,302호 (구로동, 한화비즈메트로1차)8394(주)하오식품2020-01-31 13:37:36U2020-02-02 02:40:00.0<NA>190447.424985442071.44778식육포장처리업식육포장처리업<NA>L00<NA>
24316000031600001042016000520160727<NA>3폐업2폐업20210228<NA><NA><NA><NA>0.0<NA>서울특별시 구로구 구로동 113-4서울특별시 구로구 구로중앙로28길 35-11 (구로동)8294주식회사 다인식품 지점2021-03-12 11:20:36U2021-03-14 02:40:00.0<NA>189952.104659444208.578365식육포장처리업식육포장처리업<NA>L00<NA>
25316000031600001042017000120170203<NA>1영업/정상0정상<NA><NA><NA><NA>832-27220.0<NA>서울특별시 구로구 가리봉동 2-177 지층서울특별시 구로구 남부순환로105길 248, 지층 (가리봉동)8321(주)연율푸드2022-01-24 19:49:57U2022-01-26 02:40:00.0<NA>189477.925684442613.074331식육포장처리업식육포장처리업0L000
26316000031600001042017000220170804<NA>3폐업2폐업20200303<NA><NA><NA><NA>0.0<NA>서울특별시 구로구 가리봉동 110-5번지 지하1층서울특별시 구로구 우마1가길 19, 지하1층 (가리봉동, 보영탕)8383태산미트2020-03-03 18:31:07U2020-03-05 02:40:00.0<NA>190143.595205442247.53916식육포장처리업식육포장처리업<NA>000<NA>
27316000031600001042018000120180118<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 구로구 개봉동 353-31번지 지하1층서울특별시 구로구 개봉로23길 46, 지하1층 (개봉동)8277Bucket Meat2018-01-18 14:40:27I2018-08-31 23:59:59.0<NA>187260.284547443802.369696식육포장처리업식육포장처리업<NA>000<NA>
28316000031600001042018000220181015<NA>3폐업2폐업20221230<NA><NA><NA><NA>309.5<NA>서울특별시 구로구 가리봉동 2-175서울특별시 구로구 남부순환로105길 258, 지1층, 1층 (가리봉동)8321제일축산육가공2022-12-30 10:38:25U2022-12-01 00:01:00.0<NA>189438.489639442635.002844<NA><NA><NA><NA><NA>
29316000031600001042018000320181123<NA>1영업/정상0정상<NA><NA><NA><NA><NA>478.0<NA>서울특별시 구로구 구로동 417-1서울특별시 구로구 구로동로 180, 1층 (구로동)8285주식회사 다인식품2020-06-25 16:05:47U2020-06-27 02:40:00.0<NA>189590.211851443608.794739식육포장처리업식육포장처리업<NA>L00<NA>
30316000031600001042020000120200417<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 구로구 개봉동 169-5번지서울특별시 구로구 개봉로23길 42-8, 1층 (개봉동)8277주식회사 우성푸드2020-04-17 10:39:37I2020-04-19 00:23:21.0<NA>187277.191591443769.210393식육포장처리업식육포장처리업<NA>L00<NA>
31316000031600001042022000120170322<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 구로구 항동 206-1 비118호,비119호,비120호서울특별시 구로구 부광로 96-5, 비118호,비119호,비120호 (항동)8362주식회사 케이와이컴퍼니2022-12-07 09:43:34U2021-11-02 00:09:00.0<NA>183807.118189441599.355056<NA><NA><NA><NA><NA>
32316000031600001042022000220221116<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 구로구 개봉동 403-219 지층서울특별시 구로구 개봉로20길 30, 지층 (개봉동)8329(주)남극이야기2022-11-16 12:19:52I2021-10-31 23:08:00.0<NA>187234.286075443473.960167<NA><NA><NA><NA><NA>