Overview

Dataset statistics

Number of variables30
Number of observations21
Missing cells151
Missing cells (%)24.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory262.3 B

Variable types

Categorical12
Numeric5
DateTime3
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18149/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
축산업무구분명 is highly imbalanced (54.6%)Imbalance
축산물가공업구분명 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 5 (23.8%) 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 6 (28.6%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
도로명주소 has 2 (9.5%) missing valuesMissing
도로명우편번호 has 10 (47.6%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.8%) missing valuesMissing
좌표정보(Y) has 1 (4.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 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
소재지면적 has 13 (61.9%) zerosZeros

Reproduction

Analysis started2024-04-29 19:37:30.403568
Analysis finished2024-04-29 19:37:31.001188
Duration0.6 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
3220000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3220000 21
100.0%

Length

2024-04-30T04:37:31.061187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:31.181612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2200001 × 1017
Minimum3.22 × 1017
Maximum3.2200001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:37:31.313087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.22 × 1017
5-th percentile3.22 × 1017
Q13.22 × 1017
median3.2200001 × 1017
Q33.2200001 × 1017
95-th percentile3.2200001 × 1017
Maximum3.2200001 × 1017
Range1.00003 × 1010
Interquartile range (IQR)1.000013 × 1010

Descriptive statistics

Standard deviation4.9761965 × 109
Coefficient of variation (CV)1.5454026 × 10-8
Kurtosis-1.9129554
Mean3.2200001 × 1017
Median Absolute Deviation (MAD)59968
Skewness-0.52884012
Sum6.7620001 × 1018
Variance2.4762532 × 1019
MonotonicityStrictly increasing
2024-04-30T04:37:31.452286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
322000000419900001 1
 
4.8%
322000000420010001 1
 
4.8%
322000010420200001 1
 
4.8%
322000010420170002 1
 
4.8%
322000010420170001 1
 
4.8%
322000010420160003 1
 
4.8%
322000010420160002 1
 
4.8%
322000010420160001 1
 
4.8%
322000010420150002 1
 
4.8%
322000010420150001 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
322000000419900001 1
4.8%
322000000420010001 1
4.8%
322000000420020001 1
4.8%
322000000420020002 1
4.8%
322000000420030004 1
4.8%
322000000420030005 1
4.8%
322000000420050001 1
4.8%
322000000420090003 1
4.8%
322000010420090001 1
4.8%
322000010420100001 1
4.8%
ValueCountFrequency (%)
322000010420200001 1
4.8%
322000010420170002 1
4.8%
322000010420170001 1
4.8%
322000010420160003 1
4.8%
322000010420160002 1
4.8%
322000010420160001 1
4.8%
322000010420150002 1
4.8%
322000010420150001 1
4.8%
322000010420140001 1
4.8%
322000010420130001 1
4.8%

인허가일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum1990-10-15 00:00:00
Maximum2020-09-16 00:00:00
2024-04-30T04:37:31.564529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:37:31.651992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

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
3
14 
1
5 
4
2 

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 14
66.7%
1 5
 
23.8%
4 2
 
9.5%

Length

2024-04-30T04:37:31.754624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:31.844931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
66.7%
1 5
 
23.8%
4 2
 
9.5%

영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
14 
영업/정상
5 
취소/말소/만료/정지/중지
2 

Length

Max length14
Median length2
Mean length3.8571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
66.7%
영업/정상 5
 
23.8%
취소/말소/만료/정지/중지 2
 
9.5%

Length

2024-04-30T04:37:31.950663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:32.057086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
66.7%
영업/정상 5
 
23.8%
취소/말소/만료/정지/중지 2
 
9.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
2
14 
0
5 
4
2 

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 14
66.7%
0 5
 
23.8%
4 2
 
9.5%

Length

2024-04-30T04:37:32.171994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:32.259793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 14
66.7%
0 5
 
23.8%
4 2
 
9.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
14 
정상
5 
말소
2 

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 14
66.7%
정상 5
 
23.8%
말소 2
 
9.5%

Length

2024-04-30T04:37:32.360694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:32.451545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
66.7%
정상 5
 
23.8%
말소 2
 
9.5%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)93.8%
Missing5
Missing (%)23.8%
Memory size300.0 B
Minimum2006-07-21 00:00:00
Maximum2023-12-31 00:00:00
2024-04-30T04:37:32.534421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:37:32.608640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

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 

Distinct14
Distinct (%)93.3%
Missing6
Missing (%)28.6%
Memory size300.0 B
2024-04-30T04:37:32.758239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.4
Min length8

Characters and Unicode

Total characters156
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)86.7%

Sample

1st row3461-3635
2nd row529-2590
3rd row02-568-0993
4th row02-593-3636
5th row02-2058-2533
ValueCountFrequency (%)
02-512-3103 2
 
12.5%
3461-3635 1
 
6.2%
529-2590 1
 
6.2%
02-568-0993 1
 
6.2%
02-593-3636 1
 
6.2%
02-2058-2533 1
 
6.2%
569-3300 1
 
6.2%
02-578-82971 1
 
6.2%
02555 1
 
6.2%
7987 1
 
6.2%
Other values (5) 5
31.2%
2024-04-30T04:37:33.035870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23
14.7%
2 22
14.1%
- 22
14.1%
5 19
12.2%
3 19
12.2%
9 11
7.1%
1 9
 
5.8%
6 9
 
5.8%
8 8
 
5.1%
4 7
 
4.5%
Other values (2) 7
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 133
85.3%
Dash Punctuation 22
 
14.1%
Space Separator 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
17.3%
2 22
16.5%
5 19
14.3%
3 19
14.3%
9 11
8.3%
1 9
 
6.8%
6 9
 
6.8%
8 8
 
6.0%
4 7
 
5.3%
7 6
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23
14.7%
2 22
14.1%
- 22
14.1%
5 19
12.2%
3 19
12.2%
9 11
7.1%
1 9
 
5.8%
6 9
 
5.8%
8 8
 
5.1%
4 7
 
4.5%
Other values (2) 7
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
14.7%
2 22
14.1%
- 22
14.1%
5 19
12.2%
3 19
12.2%
9 11
7.1%
1 9
 
5.8%
6 9
 
5.8%
8 8
 
5.1%
4 7
 
4.5%
Other values (2) 7
 
4.5%

소재지면적
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.054762
Minimum0
Maximum177.4
Zeros13
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:37:33.132227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q341
95-th percentile150
Maximum177.4
Range177.4
Interquartile range (IQR)41

Descriptive statistics

Standard deviation51.948493
Coefficient of variation (CV)1.7284613
Kurtosis3.0105911
Mean30.054762
Median Absolute Deviation (MAD)0
Skewness1.9094715
Sum631.15
Variance2698.6459
MonotonicityNot monotonic
2024-04-30T04:37:33.221558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 13
61.9%
87.1 1
 
4.8%
69.84 1
 
4.8%
150.0 1
 
4.8%
177.4 1
 
4.8%
60.0 1
 
4.8%
32.31 1
 
4.8%
13.5 1
 
4.8%
41.0 1
 
4.8%
ValueCountFrequency (%)
0.0 13
61.9%
13.5 1
 
4.8%
32.31 1
 
4.8%
41.0 1
 
4.8%
60.0 1
 
4.8%
69.84 1
 
4.8%
87.1 1
 
4.8%
150.0 1
 
4.8%
177.4 1
 
4.8%
ValueCountFrequency (%)
177.4 1
 
4.8%
150.0 1
 
4.8%
87.1 1
 
4.8%
69.84 1
 
4.8%
60.0 1
 
4.8%
41.0 1
 
4.8%
32.31 1
 
4.8%
13.5 1
 
4.8%
0.0 13
61.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T04:37:33.385204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length23.571429
Min length19

Characters and Unicode

Total characters495
Distinct characters52
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

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 청담동 6-2번지
2nd row서울특별시 강남구 개포동 171-14번지
3rd row서울특별시 강남구 개포동 1232-3번지 지하
4th row서울특별시 강남구 일원동 666-4번지
5th row서울특별시 강남구 대치동 1004-8번지 1층
ValueCountFrequency (%)
서울특별시 21
21.9%
강남구 21
21.9%
논현동 4
 
4.2%
개포동 3
 
3.1%
신사동 3
 
3.1%
대치동 3
 
3.1%
일원동 2
 
2.1%
도곡동 2
 
2.1%
1층 2
 
2.1%
지하 2
 
2.1%
Other values (33) 33
34.4%
2024-04-30T04:37:33.679966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
19.0%
1 24
 
4.8%
동 22
 
4.4%
서 21
 
4.2%
특 21
 
4.2%
별 21
 
4.2%
시 21
 
4.2%
강 21
 
4.2%
남 21
 
4.2%
구 21
 
4.2%
Other values (42) 208
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
58.0%
Space Separator 94
 
19.0%
Decimal Number 94
 
19.0%
Dash Punctuation 20
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
 
7.7%
서 21
 
7.3%
특 21
 
7.3%
별 21
 
7.3%
시 21
 
7.3%
강 21
 
7.3%
남 21
 
7.3%
구 21
 
7.3%
울 21
 
7.3%
지 18
 
6.3%
Other values (30) 79
27.5%
Decimal Number
ValueCountFrequency (%)
1 24
25.5%
4 11
11.7%
9 11
11.7%
6 11
11.7%
2 9
 
9.6%
8 7
 
7.4%
5 6
 
6.4%
3 6
 
6.4%
0 5
 
5.3%
7 4
 
4.3%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
58.0%
Common 208
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
 
7.7%
서 21
 
7.3%
특 21
 
7.3%
별 21
 
7.3%
시 21
 
7.3%
강 21
 
7.3%
남 21
 
7.3%
구 21
 
7.3%
울 21
 
7.3%
지 18
 
6.3%
Other values (30) 79
27.5%
Common
ValueCountFrequency (%)
94
45.2%
1 24
 
11.5%
- 20
 
9.6%
4 11
 
5.3%
9 11
 
5.3%
6 11
 
5.3%
2 9
 
4.3%
8 7
 
3.4%
5 6
 
2.9%
3 6
 
2.9%
Other values (2) 9
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
58.0%
ASCII 208
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
45.2%
1 24
 
11.5%
- 20
 
9.6%
4 11
 
5.3%
9 11
 
5.3%
6 11
 
5.3%
2 9
 
4.3%
8 7
 
3.4%
5 6
 
2.9%
3 6
 
2.9%
Other values (2) 9
 
4.3%
Hangul
ValueCountFrequency (%)
동 22
 
7.7%
서 21
 
7.3%
특 21
 
7.3%
별 21
 
7.3%
시 21
 
7.3%
강 21
 
7.3%
남 21
 
7.3%
구 21
 
7.3%
울 21
 
7.3%
지 18
 
6.3%
Other values (30) 79
27.5%

도로명주소
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing2
Missing (%)9.5%
Memory size300.0 B
2024-04-30T04:37:33.856366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length27.578947
Min length24

Characters and Unicode

Total characters524
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 삼성로149길 10 (청담동)
2nd row서울특별시 강남구 선릉로14길 7 (개포동)
3rd row서울특별시 강남구 개포로20길 20 (개포동,지하)
4th row서울특별시 강남구 일원로9길 30 (일원동)
5th row서울특별시 강남구 역삼로103길 8 (대치동,1층)
ValueCountFrequency (%)
서울특별시 19
18.1%
강남구 19
18.1%
논현동 4
 
3.8%
신사동 3
 
2.9%
지하1층 3
 
2.9%
도산대로 2
 
1.9%
8 2
 
1.9%
개포동 2
 
1.9%
지하2층 2
 
1.9%
지층 2
 
1.9%
Other values (43) 47
44.8%
2024-04-30T04:37:34.168155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
16.4%
동 21
 
4.0%
구 20
 
3.8%
강 20
 
3.8%
남 20
 
3.8%
) 19
 
3.6%
울 19
 
3.6%
로 19
 
3.6%
서 19
 
3.6%
( 19
 
3.6%
Other values (54) 262
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
60.7%
Space Separator 86
 
16.4%
Decimal Number 72
 
13.7%
Close Punctuation 19
 
3.6%
Open Punctuation 19
 
3.6%
Other Punctuation 10
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 21
 
6.6%
구 20
 
6.3%
강 20
 
6.3%
남 20
 
6.3%
울 19
 
6.0%
로 19
 
6.0%
서 19
 
6.0%
시 19
 
6.0%
별 19
 
6.0%
특 19
 
6.0%
Other values (40) 123
38.7%
Decimal Number
ValueCountFrequency (%)
3 13
18.1%
1 12
16.7%
0 12
16.7%
2 7
9.7%
7 6
8.3%
8 6
8.3%
4 6
8.3%
6 4
 
5.6%
5 3
 
4.2%
9 3
 
4.2%
Space Separator
ValueCountFrequency (%)
86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
60.7%
Common 206
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 21
 
6.6%
구 20
 
6.3%
강 20
 
6.3%
남 20
 
6.3%
울 19
 
6.0%
로 19
 
6.0%
서 19
 
6.0%
시 19
 
6.0%
별 19
 
6.0%
특 19
 
6.0%
Other values (40) 123
38.7%
Common
ValueCountFrequency (%)
86
41.7%
) 19
 
9.2%
( 19
 
9.2%
3 13
 
6.3%
1 12
 
5.8%
0 12
 
5.8%
, 10
 
4.9%
2 7
 
3.4%
7 6
 
2.9%
8 6
 
2.9%
Other values (4) 16
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
60.7%
ASCII 206
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
41.7%
) 19
 
9.2%
( 19
 
9.2%
3 13
 
6.3%
1 12
 
5.8%
0 12
 
5.8%
, 10
 
4.9%
2 7
 
3.4%
7 6
 
2.9%
8 6
 
2.9%
Other values (4) 16
 
7.8%
Hangul
ValueCountFrequency (%)
동 21
 
6.6%
구 20
 
6.3%
강 20
 
6.3%
남 20
 
6.3%
울 19
 
6.0%
로 19
 
6.0%
서 19
 
6.0%
시 19
 
6.0%
별 19
 
6.0%
특 19
 
6.0%
Other values (40) 123
38.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing10
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean6132.2727
Minimum6023
Maximum6342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:37:34.268381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6023
5-th percentile6024
Q16043
median6107
Q36209
95-th percentile6306
Maximum6342
Range319
Interquartile range (IQR)166

Descriptive statistics

Standard deviation112.87169
Coefficient of variation (CV)0.018406176
Kurtosis-0.71407113
Mean6132.2727
Median Absolute Deviation (MAD)75
Skewness0.82121852
Sum67455
Variance12740.018
MonotonicityNot monotonic
2024-04-30T04:37:34.356410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6054 2
 
9.5%
6130 1
 
4.8%
6023 1
 
4.8%
6153 1
 
4.8%
6107 1
 
4.8%
6265 1
 
4.8%
6342 1
 
4.8%
6270 1
 
4.8%
6032 1
 
4.8%
6025 1
 
4.8%
(Missing) 10
47.6%
ValueCountFrequency (%)
6023 1
4.8%
6025 1
4.8%
6032 1
4.8%
6054 2
9.5%
6107 1
4.8%
6130 1
4.8%
6153 1
4.8%
6265 1
4.8%
6270 1
4.8%
6342 1
4.8%
ValueCountFrequency (%)
6342 1
4.8%
6270 1
4.8%
6265 1
4.8%
6153 1
4.8%
6130 1
4.8%
6107 1
4.8%
6054 2
9.5%
6032 1
4.8%
6025 1
4.8%
6023 1
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T04:37:34.503600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length6.5238095
Min length3

Characters and Unicode

Total characters137
Distinct characters73
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

Unique21 ?
Unique (%)100.0%

Sample

1st row(주)농우촌
2nd row만평축산
3rd row초원식품
4th row동건식품
5th row크라제푸드(주)
ValueCountFrequency (%)
주)농우촌 1
 
4.5%
만평축산 1
 
4.5%
더에이징 1
 
4.5%
주식회사 1
 
4.5%
설로인 1
 
4.5%
설성푸드(도곡공장 1
 
4.5%
백록종합식품(주 1
 
4.5%
청복례유통 1
 
4.5%
한우리음식 1
 
4.5%
모로미쿠시 1
 
4.5%
Other values (12) 12
54.5%
2024-04-30T04:37:34.762138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 11
 
8.0%
) 11
 
8.0%
주 11
 
8.0%
식 7
 
5.1%
우 5
 
3.6%
삼 4
 
2.9%
드 3
 
2.2%
한 3
 
2.2%
품 3
 
2.2%
푸 3
 
2.2%
Other values (63) 76
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
83.2%
Open Punctuation 11
 
8.0%
Close Punctuation 11
 
8.0%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
9.6%
식 7
 
6.1%
우 5
 
4.4%
삼 4
 
3.5%
드 3
 
2.6%
한 3
 
2.6%
품 3
 
2.6%
푸 3
 
2.6%
산 3
 
2.6%
외 2
 
1.8%
Other values (60) 70
61.4%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
83.2%
Common 23
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
9.6%
식 7
 
6.1%
우 5
 
4.4%
삼 4
 
3.5%
드 3
 
2.6%
한 3
 
2.6%
품 3
 
2.6%
푸 3
 
2.6%
산 3
 
2.6%
외 2
 
1.8%
Other values (60) 70
61.4%
Common
ValueCountFrequency (%)
( 11
47.8%
) 11
47.8%
1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
83.2%
ASCII 23
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 11
47.8%
) 11
47.8%
1
 
4.3%
Hangul
ValueCountFrequency (%)
주 11
 
9.6%
식 7
 
6.1%
우 5
 
4.4%
삼 4
 
3.5%
드 3
 
2.6%
한 3
 
2.6%
품 3
 
2.6%
푸 3
 
2.6%
산 3
 
2.6%
외 2
 
1.8%
Other values (60) 70
61.4%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2006-07-21 16:45:23
Maximum2024-01-18 13:57:14
2024-04-30T04:37:34.868889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:37:34.973218image/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
I
13 
U
8 

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 13
61.9%
U 8
38.1%

Length

2024-04-30T04:37:35.072921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:35.159857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 13
61.9%
u 8
38.1%

데이터갱신일자
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
2018-08-31 23:59:59.0
13 
2022-01-26 02:40:00.0
4 
2021-12-06 23:03:00.0
 
1
2021-05-05 02:40:00.0
 
1
2019-11-08 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 13
61.9%
2022-01-26 02:40:00.0 4
 
19.0%
2021-12-06 23:03:00.0 1
 
4.8%
2021-05-05 02:40:00.0 1
 
4.8%
2019-11-08 02:40:00.0 1
 
4.8%
2023-11-30 22:00:00.0 1
 
4.8%

Length

2024-04-30T04:37:35.254733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:35.351295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 13
31.0%
23:59:59.0 13
31.0%
02:40:00.0 6
14.3%
2022-01-26 4
 
9.5%
2021-12-06 1
 
2.4%
23:03:00.0 1
 
2.4%
2021-05-05 1
 
2.4%
2019-11-08 1
 
2.4%
2023-11-30 1
 
2.4%
22:00:00.0 1
 
2.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean204139.4
Minimum202365.89
Maximum207636.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:37:35.445455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202365.89
5-th percentile202492.72
Q1202987.68
median203813.99
Q3204993.21
95-th percentile207381.43
Maximum207636.72
Range5270.8268
Interquartile range (IQR)2005.5316

Descriptive statistics

Standard deviation1586.0886
Coefficient of variation (CV)0.0077696347
Kurtosis0.035394792
Mean204139.4
Median Absolute Deviation (MAD)990.38013
Skewness0.94356178
Sum4082788
Variance2515677
MonotonicityNot monotonic
2024-04-30T04:37:35.537297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
204060.088077336 1
 
4.8%
204156.51955992 1
 
4.8%
203041.119601572 1
 
4.8%
202510.61535767 1
 
4.8%
202365.891834313 1
 
4.8%
203567.88465084 1
 
4.8%
207636.718678166 1
 
4.8%
202957.844480921 1
 
4.8%
203024.504466105 1
 
4.8%
203000.712820035 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
202365.891834313 1
4.8%
202499.399289926 1
4.8%
202510.61535767 1
4.8%
202810.149555429 1
4.8%
202957.844480921 1
4.8%
202997.623155335 1
4.8%
203000.712820035 1
4.8%
203024.504466105 1
4.8%
203041.119601572 1
4.8%
203567.88465084 1
4.8%
ValueCountFrequency (%)
207636.718678166 1
4.8%
207367.992495204 1
4.8%
205883.780928163 1
4.8%
205809.860876748 1
4.8%
205266.165544776 1
4.8%
204902.22489943 1
4.8%
204790.909808853 1
4.8%
204156.51955992 1
4.8%
204138.016969464 1
4.8%
204060.088077336 1
4.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean444626.7
Minimum441366.85
Maximum446927.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T04:37:35.620416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441366.85
5-th percentile441700.6
Q1443042.08
median444662.61
Q3446523.84
95-th percentile446811.96
Maximum446927.94
Range5561.0949
Interquartile range (IQR)3481.7574

Descriptive statistics

Standard deviation1853.1925
Coefficient of variation (CV)0.0041679739
Kurtosis-1.3249502
Mean444626.7
Median Absolute Deviation (MAD)1839.8895
Skewness-0.2626086
Sum8892533.9
Variance3434322.3
MonotonicityNot monotonic
2024-04-30T04:37:35.701980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
446805.854393609 1
 
4.8%
445388.447171995 1
 
4.8%
446586.710595481 1
 
4.8%
446676.369621758 1
 
4.8%
446490.93403108 1
 
4.8%
442904.003796375 1
 
4.8%
443188.1347056 1
 
4.8%
442757.626900921 1
 
4.8%
446514.061924168 1
 
4.8%
445355.340264184 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
441366.846310598 1
4.8%
441718.168204883 1
4.8%
442415.301525976 1
4.8%
442757.626900921 1
4.8%
442904.003796375 1
4.8%
443088.103774528 1
4.8%
443188.1347056 1
4.8%
444177.189945877 1
4.8%
444294.52928043 1
4.8%
444422.126985261 1
4.8%
ValueCountFrequency (%)
446927.941254362 1
4.8%
446805.854393609 1
4.8%
446676.369621758 1
4.8%
446586.710595481 1
4.8%
446553.158823624 1
4.8%
446514.061924168 1
4.8%
446490.93403108 1
4.8%
445388.447171995 1
4.8%
445355.340264184 1
4.8%
444903.08992323 1
4.8%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
식육포장처리업
19 
<NA>
2 

Length

Max length7
Median length7
Mean length6.7142857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 19
90.5%
<NA> 2
 
9.5%

Length

2024-04-30T04:37:35.816784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:35.904081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 19
90.5%
na 2
 
9.5%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
식육포장처리업
19 
<NA>
2 

Length

Max length7
Median length7
Mean length6.7142857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 19
90.5%
<NA> 2
 
9.5%

Length

2024-04-30T04:37:36.013581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:36.099084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 19
90.5%
na 2
 
9.5%

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

2024-04-30T04:37:36.202233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:36.496077image/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
L00
13 
000
6 
<NA>
2 

Length

Max length4
Median length3
Mean length3.0952381
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
L00 13
61.9%
000 6
28.6%
<NA> 2
 
9.5%

Length

2024-04-30T04:37:36.590327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:36.688818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
l00 13
61.9%
000 6
28.6%
na 2
 
9.5%

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

2024-04-30T04:37:36.796273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:36.884896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
81.0%
0 4
 
19.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0322000032200000041990000119901015<NA>3폐업2폐업20070313<NA><NA><NA><NA>87.1<NA>서울특별시 강남구 청담동 6-2번지서울특별시 강남구 삼성로149길 10 (청담동)<NA>(주)농우촌2007-03-13 17:29:12I2018-08-31 23:59:59.0<NA>204060.088077446805.854394식육포장처리업식육포장처리업<NA>L00<NA>
1322000032200000042001000120010326<NA>3폐업2폐업20170309<NA><NA><NA>3461-363569.84<NA>서울특별시 강남구 개포동 171-14번지서울특별시 강남구 선릉로14길 7 (개포동)<NA>만평축산2017-03-16 16:51:49I2018-08-31 23:59:59.0<NA>205266.165545442415.301526식육포장처리업식육포장처리업<NA>000<NA>
2322000032200000042002000120021116<NA>3폐업2폐업20170315<NA><NA><NA>529-2590150.0<NA>서울특별시 강남구 개포동 1232-3번지 지하서울특별시 강남구 개포로20길 20 (개포동,지하)<NA>초원식품2017-03-16 17:04:30I2018-08-31 23:59:59.0<NA>204138.016969441718.168205식육포장처리업식육포장처리업<NA>000<NA>
3322000032200000042002000220020321<NA>3폐업2폐업20110126<NA><NA><NA><NA>177.4<NA>서울특별시 강남구 일원동 666-4번지서울특별시 강남구 일원로9길 30 (일원동)<NA>동건식품2011-01-26 14:05:06I2018-08-31 23:59:59.0<NA>207367.992495443088.103775식육포장처리업식육포장처리업<NA>000<NA>
4322000032200000042003000420030920<NA>3폐업2폐업20070824<NA><NA><NA>02-568-099360.0<NA>서울특별시 강남구 대치동 1004-8번지 1층서울특별시 강남구 역삼로103길 8 (대치동,1층)<NA>크라제푸드(주)2007-08-24 17:13:37I2018-08-31 23:59:59.0<NA>205809.860877444903.089923식육포장처리업식육포장처리업<NA>L00<NA>
5322000032200000042003000520031007<NA>3폐업2폐업20080211<NA><NA><NA>02-593-36360.0<NA>서울특별시 강남구 대치동 994-1번지서울특별시 강남구 영동대로 231 (대치동)<NA>(주)올가홀푸드2008-02-11 17:41:01I2018-08-31 23:59:59.0<NA>205883.780928444177.189946식육포장처리업식육포장처리업<NA>L00<NA>
6322000032200000042005000120050216<NA>3폐업2폐업20060721<NA><NA><NA>02-2058-253332.31<NA>서울특별시 강남구 포이동 240번지 일영빌딩 1층 2호<NA><NA>삼삼하우스2006-07-21 16:45:23I2018-08-31 23:59:59.0<NA><NA><NA>식육포장처리업식육포장처리업<NA>000<NA>
7322000032200000042009000320090915<NA>1영업/정상0정상<NA><NA><NA><NA>02-512-31030.0<NA>서울특별시 강남구 논현동 91-18서울특별시 강남구 도산대로 304 (논현동)<NA>한우리외식산업(주)2022-01-24 17:46:22U2022-01-26 02:40:00.0<NA>202997.623155446553.158824식육포장처리업식육포장처리업0L000
8322000032200001042009000120091030<NA>3폐업2폐업20120312<NA><NA><NA>569-33000.0<NA>서울특별시 강남구 대치동 911-7번지<NA><NA>황우거2012-03-12 17:43:11I2018-08-31 23:59:59.0<NA>204902.224899444422.126985식육포장처리업식육포장처리업<NA>000<NA>
9322000032200001042010000120101126<NA>4취소/말소/만료/정지/중지4말소20180322<NA><NA><NA>02-578-829710.0<NA>서울특별시 강남구 개포동 1164-26번지서울특별시 강남구 논현로2길 64 (개포동)<NA>삼영상사(주)2018-08-08 17:55:32I2018-08-31 23:59:59.0<NA>204790.909809441366.846311식육포장처리업식육포장처리업<NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
11322000032200001042013000120131018<NA>1영업/정상0정상<NA><NA><NA><NA>02-548-30300.0<NA>서울특별시 강남구 신사동 623-8 가동 지하1층서울특별시 강남구 언주로 833, 가동 지하1층 (신사동)6023(주)삼원가든2022-07-11 13:31:04U2021-12-06 23:03:00.0<NA>202810.149555446927.941254<NA><NA><NA><NA><NA>
12322000032200001042014000120141105<NA>4취소/말소/만료/정지/중지4말소20180322<NA><NA><NA>0254966780.0<NA>서울특별시 강남구 삼성동 113-10번지서울특별시 강남구 봉은사로64길 8 (삼성동)6153(주)길성그린2018-08-08 17:57:59I2018-08-31 23:59:59.0<NA>204156.51956445388.447172식육포장처리업식육포장처리업<NA>L00<NA>
13322000032200001042015000120150211<NA>3폐업2폐업20171013<NA><NA><NA><NA>0.0<NA>서울특별시 강남구 논현동 224-18번지서울특별시 강남구 봉은사로33길 37 (논현동)6107모로미쿠시2017-10-13 10:57:54I2018-08-31 23:59:59.0<NA>203000.71282445355.340264식육포장처리업식육포장처리업<NA>L00<NA>
14322000032200001042015000220150603<NA>1영업/정상0정상<NA><NA><NA><NA>02512310313.5<NA>서울특별시 강남구 논현동 97-1서울특별시 강남구 언주로150길 6, 지하2층 (논현동)6054한우리음식2022-01-24 17:47:18U2022-01-26 02:40:00.0<NA>203024.504466446514.061924식육포장처리업식육포장처리업0L000
15322000032200001042016000120160621<NA>3폐업2폐업20171017<NA><NA><NA><NA>41.0<NA>서울특별시 강남구 도곡동 948-6번지서울특별시 강남구 강남대로48길 13, 지층 (도곡동)6265청복례유통2017-10-17 13:17:28I2018-08-31 23:59:59.0<NA>202957.844481442757.626901식육포장처리업식육포장처리업<NA>000<NA>
16322000032200001042016000220160624<NA>1영업/정상0정상<NA><NA><NA><NA>02-445-27960.0<NA>서울특별시 강남구 일원동 645-9서울특별시 강남구 일원로9길 70, 지층 (일원동)6342백록종합식품(주)2022-01-24 17:49:57U2022-01-26 02:40:00.0<NA>207636.718678443188.134706식육포장처리업식육포장처리업0L000
17322000032200001042016000320161020<NA>3폐업2폐업20210503<NA><NA><NA>02-2140-95840.0<NA>서울특별시 강남구 도곡동 899-5 지1층서울특별시 강남구 논현로 207, 지1층 (도곡동)6270설성푸드(도곡공장)2021-05-03 16:26:58U2021-05-05 02:40:00.0<NA>203567.884651442904.003796식육포장처리업식육포장처리업<NA>L00<NA>
18322000032200001042017000120171024<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강남구 신사동 586-7서울특별시 강남구 논현로 805, 지하1층 (신사동)6032설로인 주식회사2022-01-24 17:49:00U2022-01-26 02:40:00.0<NA>202365.891834446490.934031식육포장처리업식육포장처리업0L000
19322000032200001042017000220171204<NA>3폐업2폐업20191106<NA><NA><NA><NA>0.0<NA>서울특별시 강남구 신사동 593-4번지 대승빌딩서울특별시 강남구 압구정로30길 77, 지하1층 (신사동)6025더에이징2019-11-06 15:02:25U2019-11-08 02:40:00.0<NA>202510.615358446676.369622식육포장처리업식육포장처리업<NA>L00<NA>
2032200003220000104202000012020-09-16<NA>3폐업2폐업2023-12-31<NA><NA><NA>02-512-31030.0<NA>서울특별시 강남구 논현동 91-4 코오라빌딩서울특별시 강남구 도산대로 308, 코오라빌딩 지하2층 (논현동)6054한서외식산업(주)2024-01-18 13:57:14U2023-11-30 22:00:00.0<NA>203041.119602446586.710595<NA><NA><NA><NA><NA>