Overview

Dataset statistics

Number of variables30
Number of observations97
Missing cells528
Missing cells (%)18.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.1 KiB
Average record size in memory254.4 B

Variable types

Categorical12
Numeric5
DateTime6
Unsupported3
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-18103/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (85.5%)Imbalance
인허가취소일자 has 97 (100.0%) missing valuesMissing
폐업일자 has 42 (43.3%) missing valuesMissing
휴업시작일자 has 95 (97.9%) missing valuesMissing
휴업종료일자 has 97 (100.0%) missing valuesMissing
재개업일자 has 55 (56.7%) missing valuesMissing
전화번호 has 25 (25.8%) missing valuesMissing
소재지우편번호 has 97 (100.0%) missing valuesMissing
도로명주소 has 5 (5.2%) missing valuesMissing
도로명우편번호 has 11 (11.3%) missing valuesMissing
좌표정보(X) has 2 (2.1%) missing valuesMissing
좌표정보(Y) has 2 (2.1%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 61 (62.9%) zerosZeros

Reproduction

Analysis started2024-05-11 02:58:34.821827
Analysis finished2024-05-11 02:58:35.681084
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
3010000
97 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 97
100.0%

Length

2024-05-11T02:58:35.833688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:35.994589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 97
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.01 × 1017
Minimum3.01 × 1017
Maximum3.01 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T02:58:36.187412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.01 × 1017
5-th percentile3.01 × 1017
Q13.01 × 1017
median3.01 × 1017
Q33.01 × 1017
95-th percentile3.01 × 1017
Maximum3.01 × 1017
Range240000
Interquartile range (IQR)20032

Descriptive statistics

Standard deviation57670.982
Coefficient of variation (CV)1.9159795 × 10-13
Kurtosis-0.015333094
Mean3.01 × 1017
Median Absolute Deviation (MAD)9984
Skewness-0.73526571
Sum-7.6964881 × 1018
Variance3.3259421 × 109
MonotonicityStrictly increasing
2024-05-11T02:58:36.449982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301000000419990001 1
 
1.0%
301000000420140005 1
 
1.0%
301000000420140003 1
 
1.0%
301000000420140002 1
 
1.0%
301000000420140001 1
 
1.0%
301000000420130043 1
 
1.0%
301000000420130042 1
 
1.0%
301000000420130041 1
 
1.0%
301000000420130040 1
 
1.0%
301000000420130039 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
301000000419990001 1
1.0%
301000000419990002 1
1.0%
301000000420010001 1
1.0%
301000000420010002 1
1.0%
301000000420010003 1
1.0%
301000000420010004 1
1.0%
301000000420010005 1
1.0%
301000000420010006 1
1.0%
301000000420010007 1
1.0%
301000000420010008 1
1.0%
ValueCountFrequency (%)
301000000420230001 1
1.0%
301000000420220002 1
1.0%
301000000420220001 1
1.0%
301000000420210001 1
1.0%
301000000420200003 1
1.0%
301000000420200002 1
1.0%
301000000420200001 1
1.0%
301000000420190002 1
1.0%
301000000420190001 1
1.0%
301000000420180001 1
1.0%

인허가일자
Date

Distinct62
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum1999-11-03 00:00:00
Maximum2022-08-10 00:00:00
2024-05-11T02:58:36.721903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:58:37.062082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
3
55 
1
39 
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 55
56.7%
1 39
40.2%
2 2
 
2.1%
4 1
 
1.0%

Length

2024-05-11T02:58:37.313411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:37.489152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 55
56.7%
1 39
40.2%
2 2
 
2.1%
4 1
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
폐업
55 
영업/정상
39 
휴업
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.3298969
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 55
56.7%
영업/정상 39
40.2%
휴업 2
 
2.1%
취소/말소/만료/정지/중지 1
 
1.0%

Length

2024-05-11T02:58:37.885976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:38.217150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 55
56.7%
영업/정상 39
40.2%
휴업 2
 
2.1%
취소/말소/만료/정지/중지 1
 
1.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
2
55 
0
39 
1
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 55
56.7%
0 39
40.2%
1 2
 
2.1%
4 1
 
1.0%

Length

2024-05-11T02:58:38.564211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:38.746929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 55
56.7%
0 39
40.2%
1 2
 
2.1%
4 1
 
1.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
폐업
55 
정상
39 
휴업
 
2
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 55
56.7%
정상 39
40.2%
휴업 2
 
2.1%
말소 1
 
1.0%

Length

2024-05-11T02:58:38.940557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:39.117644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 55
56.7%
정상 39
40.2%
휴업 2
 
2.1%
말소 1
 
1.0%

폐업일자
Date

MISSING 

Distinct52
Distinct (%)94.5%
Missing42
Missing (%)43.3%
Memory size908.0 B
Minimum2004-08-16 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T02:58:39.428475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:58:39.849491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing95
Missing (%)97.9%
Memory size908.0 B
Minimum2023-08-21 00:00:00
Maximum2024-02-21 00:00:00
2024-05-11T02:58:40.176269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:58:40.498013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

재개업일자
Date

MISSING 

Distinct39
Distinct (%)92.9%
Missing55
Missing (%)56.7%
Memory size908.0 B
Minimum2016-09-21 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T02:58:40.776284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:58:41.157628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

전화번호
Text

MISSING 

Distinct69
Distinct (%)95.8%
Missing25
Missing (%)25.8%
Memory size908.0 B
2024-05-11T02:58:41.756396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.083333
Min length8

Characters and Unicode

Total characters798
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

Unique66 ?
Unique (%)91.7%

Sample

1st row2279-1103
2nd row2238-4476
3rd row2238-5542
4th row2236-3044
5th row2238-4476
ValueCountFrequency (%)
02-2238-0008 2
 
2.8%
2238-5416 2
 
2.8%
2238-4476 2
 
2.8%
02-2294-0604 1
 
1.4%
774-2384 1
 
1.4%
02-2238-3571 1
 
1.4%
02-2252-5907 1
 
1.4%
02-2233-9342 1
 
1.4%
02-2237-2446 1
 
1.4%
02-2232-7591 1
 
1.4%
Other values (59) 59
81.9%
2024-05-11T02:58:42.670226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 213
26.7%
- 123
15.4%
3 91
11.4%
0 84
 
10.5%
4 48
 
6.0%
6 48
 
6.0%
7 47
 
5.9%
5 40
 
5.0%
8 38
 
4.8%
1 38
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 675
84.6%
Dash Punctuation 123
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 213
31.6%
3 91
13.5%
0 84
 
12.4%
4 48
 
7.1%
6 48
 
7.1%
7 47
 
7.0%
5 40
 
5.9%
8 38
 
5.6%
1 38
 
5.6%
9 28
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 213
26.7%
- 123
15.4%
3 91
11.4%
0 84
 
10.5%
4 48
 
6.0%
6 48
 
6.0%
7 47
 
5.9%
5 40
 
5.0%
8 38
 
4.8%
1 38
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 213
26.7%
- 123
15.4%
3 91
11.4%
0 84
 
10.5%
4 48
 
6.0%
6 48
 
6.0%
7 47
 
5.9%
5 40
 
5.0%
8 38
 
4.8%
1 38
 
4.8%

소재지면적
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.233505
Minimum0
Maximum1256.4
Zeros61
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T02:58:43.082706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q363.8
95-th percentile182.94
Maximum1256.4
Range1256.4
Interquartile range (IQR)63.8

Descriptive statistics

Standard deviation157.05623
Coefficient of variation (CV)2.8434956
Kurtosis39.864548
Mean55.233505
Median Absolute Deviation (MAD)0
Skewness5.8610639
Sum5357.65
Variance24666.66
MonotonicityNot monotonic
2024-05-11T02:58:43.623917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 61
62.9%
83.3 3
 
3.1%
63.8 2
 
2.1%
150.16 1
 
1.0%
27.2 1
 
1.0%
332.6 1
 
1.0%
84.3 1
 
1.0%
64.1 1
 
1.0%
85.3 1
 
1.0%
234.7 1
 
1.0%
Other values (24) 24
 
24.7%
ValueCountFrequency (%)
0.0 61
62.9%
14.35 1
 
1.0%
23.85 1
 
1.0%
26.61 1
 
1.0%
27.2 1
 
1.0%
32.64 1
 
1.0%
37.6 1
 
1.0%
44.46 1
 
1.0%
50.0 1
 
1.0%
60.32 1
 
1.0%
ValueCountFrequency (%)
1256.4 1
1.0%
773.0 1
1.0%
332.6 1
1.0%
271.72 1
1.0%
234.7 1
1.0%
170.0 1
1.0%
165.0 1
1.0%
150.16 1
1.0%
133.2 1
1.0%
115.81 1
1.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

지번주소
Text

Distinct89
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-05-11T02:58:44.202907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length19.701031
Min length12

Characters and Unicode

Total characters1911
Distinct characters78
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

Unique81 ?
Unique (%)83.5%

Sample

1st row서울특별시 중구 인현동2가 117번지
2nd row서울특별시 중구 황학동 398
3rd row서울특별시 중구 황학동 582
4th row서울특별시 중구 황학동 401
5th row서울특별시 중구 황학동 603-4번지
ValueCountFrequency (%)
서울특별시 97
21.8%
중구 97
21.8%
황학동 82
18.5%
1층 40
 
9.0%
지하1층 7
 
1.6%
소공동 3
 
0.7%
582 2
 
0.5%
402 2
 
0.5%
583-1 2
 
0.5%
2층 2
 
0.5%
Other values (102) 110
24.8%
2024-05-11T02:58:45.199546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
393
20.6%
서 97
 
5.1%
동 97
 
5.1%
특 97
 
5.1%
별 97
 
5.1%
시 97
 
5.1%
중 97
 
5.1%
구 97
 
5.1%
울 97
 
5.1%
1 83
 
4.3%
Other values (68) 659
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1143
59.8%
Space Separator 393
 
20.6%
Decimal Number 352
 
18.4%
Dash Punctuation 14
 
0.7%
Other Punctuation 7
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 97
8.5%
동 97
8.5%
특 97
8.5%
별 97
8.5%
시 97
8.5%
중 97
8.5%
구 97
8.5%
울 97
8.5%
황 82
7.2%
학 82
7.2%
Other values (53) 203
17.8%
Decimal Number
ValueCountFrequency (%)
1 83
23.6%
4 59
16.8%
5 51
14.5%
3 31
 
8.8%
0 26
 
7.4%
2 26
 
7.4%
6 22
 
6.2%
9 22
 
6.2%
8 19
 
5.4%
7 13
 
3.7%
Space Separator
ValueCountFrequency (%)
393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1143
59.8%
Common 768
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 97
8.5%
동 97
8.5%
특 97
8.5%
별 97
8.5%
시 97
8.5%
중 97
8.5%
구 97
8.5%
울 97
8.5%
황 82
7.2%
학 82
7.2%
Other values (53) 203
17.8%
Common
ValueCountFrequency (%)
393
51.2%
1 83
 
10.8%
4 59
 
7.7%
5 51
 
6.6%
3 31
 
4.0%
0 26
 
3.4%
2 26
 
3.4%
6 22
 
2.9%
9 22
 
2.9%
8 19
 
2.5%
Other values (5) 36
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1143
59.8%
ASCII 768
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
393
51.2%
1 83
 
10.8%
4 59
 
7.7%
5 51
 
6.6%
3 31
 
4.0%
0 26
 
3.4%
2 26
 
3.4%
6 22
 
2.9%
9 22
 
2.9%
8 19
 
2.5%
Other values (5) 36
 
4.7%
Hangul
ValueCountFrequency (%)
서 97
8.5%
동 97
8.5%
특 97
8.5%
별 97
8.5%
시 97
8.5%
중 97
8.5%
구 97
8.5%
울 97
8.5%
황 82
7.2%
학 82
7.2%
Other values (53) 203
17.8%

도로명주소
Text

MISSING 

Distinct83
Distinct (%)90.2%
Missing5
Missing (%)5.2%
Memory size908.0 B
2024-05-11T02:58:45.696410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length30.521739
Min length21

Characters and Unicode

Total characters2808
Distinct characters83
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

Unique75 ?
Unique (%)81.5%

Sample

1st row서울특별시 중구 퇴계로87길 23-24 (황학동)
2nd row서울특별시 중구 퇴계로87길 35-3, 지하1층 (황학동)
3rd row서울특별시 중구 퇴계로87길 23-18 (황학동)
4th row서울특별시 중구 퇴계로87길 23-7 (황학동)
5th row서울특별시 중구 퇴계로87길 29-10 (황학동)
ValueCountFrequency (%)
서울특별시 92
16.8%
중구 92
16.8%
퇴계로87길 79
14.5%
황학동 79
14.5%
1층 53
9.7%
지하1층 11
 
2.0%
2층 5
 
0.9%
29-17 3
 
0.5%
29-6 3
 
0.5%
23-16 3
 
0.5%
Other values (111) 126
23.1%
2024-05-11T02:58:46.487458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
454
 
16.2%
1 123
 
4.4%
7 94
 
3.3%
동 94
 
3.3%
로 92
 
3.3%
( 92
 
3.3%
울 92
 
3.3%
서 92
 
3.3%
) 92
 
3.3%
구 92
 
3.3%
Other values (73) 1491
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1437
51.2%
Decimal Number 570
 
20.3%
Space Separator 454
 
16.2%
Open Punctuation 92
 
3.3%
Close Punctuation 92
 
3.3%
Other Punctuation 86
 
3.1%
Dash Punctuation 77
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 94
 
6.5%
로 92
 
6.4%
울 92
 
6.4%
서 92
 
6.4%
구 92
 
6.4%
특 92
 
6.4%
별 92
 
6.4%
중 92
 
6.4%
시 92
 
6.4%
길 88
 
6.1%
Other values (58) 519
36.1%
Decimal Number
ValueCountFrequency (%)
1 123
21.6%
7 94
16.5%
8 88
15.4%
2 71
12.5%
3 67
11.8%
9 40
 
7.0%
5 36
 
6.3%
4 26
 
4.6%
6 15
 
2.6%
0 10
 
1.8%
Space Separator
ValueCountFrequency (%)
454
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Other Punctuation
ValueCountFrequency (%)
, 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1437
51.2%
Common 1371
48.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 94
 
6.5%
로 92
 
6.4%
울 92
 
6.4%
서 92
 
6.4%
구 92
 
6.4%
특 92
 
6.4%
별 92
 
6.4%
중 92
 
6.4%
시 92
 
6.4%
길 88
 
6.1%
Other values (58) 519
36.1%
Common
ValueCountFrequency (%)
454
33.1%
1 123
 
9.0%
7 94
 
6.9%
( 92
 
6.7%
) 92
 
6.7%
8 88
 
6.4%
, 86
 
6.3%
- 77
 
5.6%
2 71
 
5.2%
3 67
 
4.9%
Other values (5) 127
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1437
51.2%
ASCII 1371
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
454
33.1%
1 123
 
9.0%
7 94
 
6.9%
( 92
 
6.7%
) 92
 
6.7%
8 88
 
6.4%
, 86
 
6.3%
- 77
 
5.6%
2 71
 
5.2%
3 67
 
4.9%
Other values (5) 127
 
9.3%
Hangul
ValueCountFrequency (%)
동 94
 
6.5%
로 92
 
6.4%
울 92
 
6.4%
서 92
 
6.4%
구 92
 
6.4%
특 92
 
6.4%
별 92
 
6.4%
중 92
 
6.4%
시 92
 
6.4%
길 88
 
6.1%
Other values (58) 519
36.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)14.0%
Missing11
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean4576.407
Minimum4533
Maximum4629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T02:58:46.744079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4533
5-th percentile4569.75
Q14576
median4576
Q34576
95-th percentile4577.5
Maximum4629
Range96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.725666
Coefficient of variation (CV)0.0025621992
Kurtosis12.51193
Mean4576.407
Median Absolute Deviation (MAD)0
Skewness1.2846387
Sum393571
Variance137.49124
MonotonicityNot monotonic
2024-05-11T02:58:47.101935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4576 72
74.2%
4575 3
 
3.1%
4559 2
 
2.1%
4616 1
 
1.0%
4599 1
 
1.0%
4533 1
 
1.0%
4569 1
 
1.0%
4626 1
 
1.0%
4629 1
 
1.0%
4578 1
 
1.0%
Other values (2) 2
 
2.1%
(Missing) 11
 
11.3%
ValueCountFrequency (%)
4533 1
 
1.0%
4534 1
 
1.0%
4559 2
 
2.1%
4569 1
 
1.0%
4572 1
 
1.0%
4575 3
 
3.1%
4576 72
74.2%
4578 1
 
1.0%
4599 1
 
1.0%
4616 1
 
1.0%
ValueCountFrequency (%)
4629 1
 
1.0%
4626 1
 
1.0%
4616 1
 
1.0%
4599 1
 
1.0%
4578 1
 
1.0%
4576 72
74.2%
4575 3
 
3.1%
4572 1
 
1.0%
4569 1
 
1.0%
4559 2
 
2.1%

사업장명
Text

Distinct94
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-05-11T02:58:47.615863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length4
Mean length5.4123711
Min length2

Characters and Unicode

Total characters525
Distinct characters168
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)93.8%

Sample

1st row대도냉동식품주식회사
2nd row노벨유통
3rd row(주)에스아이축산
4th row대구식품
5th row창현유통
ValueCountFrequency (%)
주식회사 3
 
2.9%
제이제이푸드시스템 2
 
1.9%
기쁨상회 2
 
1.9%
호남상회 2
 
1.9%
동양꼬치명가 1
 
1.0%
영신상회 1
 
1.0%
진미상회 1
 
1.0%
마장상회 1
 
1.0%
핫시즈너(식육제조업장 1
 
1.0%
태양부산물 1
 
1.0%
Other values (88) 88
85.4%
2024-05-11T02:58:48.667676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 47
 
9.0%
상 42
 
8.0%
주 19
 
3.6%
이 18
 
3.4%
) 15
 
2.9%
( 15
 
2.9%
식 13
 
2.5%
드 10
 
1.9%
유 10
 
1.9%
통 9
 
1.7%
Other values (158) 327
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
87.2%
Uppercase Letter 21
 
4.0%
Close Punctuation 15
 
2.9%
Open Punctuation 15
 
2.9%
Lowercase Letter 7
 
1.3%
Space Separator 6
 
1.1%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 47
 
10.3%
상 42
 
9.2%
주 19
 
4.1%
이 18
 
3.9%
식 13
 
2.8%
드 10
 
2.2%
유 10
 
2.2%
통 9
 
2.0%
제 8
 
1.7%
푸 8
 
1.7%
Other values (135) 274
59.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
14.3%
B 3
14.3%
F 2
9.5%
K 2
9.5%
G 2
9.5%
T 1
 
4.8%
H 1
 
4.8%
E 1
 
4.8%
O 1
 
4.8%
S 1
 
4.8%
Other values (4) 4
19.0%
Lowercase Letter
ValueCountFrequency (%)
a 3
42.9%
y 1
 
14.3%
l 1
 
14.3%
g 1
 
14.3%
n 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 458
87.2%
Common 39
 
7.4%
Latin 28
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 47
 
10.3%
상 42
 
9.2%
주 19
 
4.1%
이 18
 
3.9%
식 13
 
2.8%
드 10
 
2.2%
유 10
 
2.2%
통 9
 
2.0%
제 8
 
1.7%
푸 8
 
1.7%
Other values (135) 274
59.8%
Latin
ValueCountFrequency (%)
C 3
 
10.7%
a 3
 
10.7%
B 3
 
10.7%
F 2
 
7.1%
K 2
 
7.1%
G 2
 
7.1%
T 1
 
3.6%
H 1
 
3.6%
E 1
 
3.6%
O 1
 
3.6%
Other values (9) 9
32.1%
Common
ValueCountFrequency (%)
) 15
38.5%
( 15
38.5%
6
 
15.4%
& 3
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 458
87.2%
ASCII 67
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 47
 
10.3%
상 42
 
9.2%
주 19
 
4.1%
이 18
 
3.9%
식 13
 
2.8%
드 10
 
2.2%
유 10
 
2.2%
통 9
 
2.0%
제 8
 
1.7%
푸 8
 
1.7%
Other values (135) 274
59.8%
ASCII
ValueCountFrequency (%)
) 15
22.4%
( 15
22.4%
6
 
9.0%
C 3
 
4.5%
a 3
 
4.5%
B 3
 
4.5%
& 3
 
4.5%
F 2
 
3.0%
K 2
 
3.0%
G 2
 
3.0%
Other values (13) 13
19.4%

최종수정일자
Date

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2004-08-16 14:29:14
Maximum2024-05-07 16:49:32
2024-05-11T02:58:49.034208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:58:49.679535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
U
65 
I
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 65
67.0%
I 32
33.0%

Length

2024-05-11T02:58:50.090102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:50.405792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 65
67.0%
i 32
33.0%

데이터갱신일자
Date

Distinct58
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T02:58:50.889009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:58:51.325014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
식육가공업
95 
유가공업
 
2

Length

Max length5
Median length5
Mean length4.9793814
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 95
97.9%
유가공업 2
 
2.1%

Length

2024-05-11T02:58:51.806405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:52.309711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 95
97.9%
유가공업 2
 
2.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)80.0%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean201457.37
Minimum198259.65
Maximum201861.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T02:58:52.703391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198259.65
5-th percentile199217.87
Q1201704.46
median201723.94
Q3201761.94
95-th percentile201788.13
Maximum201861.48
Range3601.8314
Interquartile range (IQR)57.485582

Descriptive statistics

Standard deviation826.09582
Coefficient of variation (CV)0.0041005987
Kurtosis7.5639848
Mean201457.37
Median Absolute Deviation (MAD)30.732042
Skewness-2.9372551
Sum19138450
Variance682434.3
MonotonicityNot monotonic
2024-05-11T02:58:53.248061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201711.387498808 3
 
3.1%
201723.940255995 3
 
3.1%
201767.48508967 3
 
3.1%
201696.529975213 2
 
2.1%
201695.895504502 2
 
2.1%
201735.746519349 2
 
2.1%
201738.292515221 2
 
2.1%
201723.170578993 2
 
2.1%
201736.00515309 2
 
2.1%
201775.537390563 2
 
2.1%
Other values (66) 72
74.2%
ValueCountFrequency (%)
198259.65357739 1
1.0%
198267.995191941 1
1.0%
198505.140766586 1
1.0%
198596.297223109 1
1.0%
198803.112109917 1
1.0%
199395.627941793 1
1.0%
199829.423596734 1
1.0%
199926.245138106 1
1.0%
199980.905554356 1
1.0%
200479.632428096 1
1.0%
ValueCountFrequency (%)
201861.484999629 1
1.0%
201825.924077936 1
1.0%
201823.908977364 1
1.0%
201797.872285138 2
2.1%
201783.947809379 1
1.0%
201783.031428307 1
1.0%
201779.001961336 1
1.0%
201776.259549421 1
1.0%
201775.768406933 1
1.0%
201775.537390563 2
2.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)80.0%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean451570.58
Minimum449991.9
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T02:58:53.931892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449991.9
5-th percentile451178.43
Q1451600.13
median451624.59
Q3451653.49
95-th percentile451717.45
Maximum452076.82
Range2084.9232
Interquartile range (IQR)53.357184

Descriptive statistics

Standard deviation252.45247
Coefficient of variation (CV)0.00055905428
Kurtosis21.703742
Mean451570.58
Median Absolute Deviation (MAD)27.789407
Skewness-4.1835351
Sum42899205
Variance63732.247
MonotonicityNot monotonic
2024-05-11T02:58:54.459395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451611.135817207 3
 
3.1%
451600.446443249 3
 
3.1%
451627.226022892 3
 
3.1%
451600.128787117 2
 
2.1%
451677.981389204 2
 
2.1%
451707.033484276 2
 
2.1%
451602.445360303 2
 
2.1%
451652.377882959 2
 
2.1%
451690.477531394 2
 
2.1%
451638.555518062 2
 
2.1%
Other values (66) 72
74.2%
ValueCountFrequency (%)
449991.895498034 1
1.0%
450342.524323346 1
1.0%
450894.948886582 1
1.0%
451095.901955919 1
1.0%
451140.199847659 1
1.0%
451194.812525874 1
1.0%
451314.980088153 1
1.0%
451331.897268379 1
1.0%
451381.113105659 1
1.0%
451392.198218657 1
1.0%
ValueCountFrequency (%)
452076.818664092 1
1.0%
451794.978191599 1
1.0%
451744.306626505 1
1.0%
451733.965208287 1
1.0%
451718.244722684 1
1.0%
451717.109768069 1
1.0%
451707.033484276 2
2.1%
451690.477531394 2
2.1%
451689.215255174 1
1.0%
451679.967881989 1
1.0%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
51 
축산물가공업
46 

Length

Max length6
Median length4
Mean length4.9484536
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
52.6%
축산물가공업 46
47.4%

Length

2024-05-11T02:58:54.918053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:55.268371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
52.6%
축산물가공업 46
47.4%

축산물가공업구분명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
51 
식육가공업
44 
유가공업
 
2

Length

Max length5
Median length4
Mean length4.4536082
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
52.6%
식육가공업 44
45.4%
유가공업 2
 
2.1%

Length

2024-05-11T02:58:55.581484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:55.880599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
52.6%
식육가공업 44
45.4%
유가공업 2
 
2.1%

축산일련번호
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
51 
0
46 

Length

Max length4
Median length4
Mean length2.5773196
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 51
52.6%
0 46
47.4%

Length

2024-05-11T02:58:56.247703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:56.604010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
52.6%
0 46
47.4%

권리주체일련번호
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
51 
000
33 
L00
13 

Length

Max length4
Median length4
Mean length3.5257732
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd row<NA>
3rd rowL00
4th row<NA>
5th row000

Common Values

ValueCountFrequency (%)
<NA> 51
52.6%
000 33
34.0%
L00 13
 
13.4%

Length

2024-05-11T02:58:57.005380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:57.384984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
52.6%
000 33
34.0%
l00 13
 
13.4%

총인원
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
51 
0
46 

Length

Max length4
Median length4
Mean length2.5773196
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 51
52.6%
0 46
47.4%

Length

2024-05-11T02:58:57.769596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:58:58.117686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
52.6%
0 46
47.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0301000030100000041999000119991103<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>2279-1103150.16<NA>서울특별시 중구 인현동2가 117번지<NA><NA>대도냉동식품주식회사2014-08-31 15:55:59I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업0L000
130100003010000004199900021999-11-03<NA>1영업/정상0정상<NA><NA><NA><NA>2238-44760.0<NA>서울특별시 중구 황학동 398서울특별시 중구 퇴계로87길 23-24 (황학동)4576노벨유통2023-04-12 14:24:54U2022-12-03 23:04:00.0식육가공업201696.529975451600.128787<NA><NA><NA><NA><NA>
2301000030100000042001000120010810<NA>3폐업2폐업20201130<NA><NA>202011302238-5542170.0<NA>서울특별시 중구 황학동 582서울특별시 중구 퇴계로87길 35-3, 지하1층 (황학동)4576(주)에스아이축산2020-11-30 14:08:00U2020-12-02 02:40:00.0식육가공업201775.537391451638.555518축산물가공업식육가공업0L000
330100003010000004200100022001-04-23<NA>3폐업2폐업2023-08-21<NA><NA>2023-08-212236-30440.0<NA>서울특별시 중구 황학동 401서울특별시 중구 퇴계로87길 23-18 (황학동)4576대구식품2023-08-21 10:27:57U2022-12-07 22:03:00.0식육가공업201717.34092451600.366402<NA><NA><NA><NA><NA>
4301000030100000042001000320010424<NA>3폐업2폐업20140714<NA><NA><NA>2238-447632.64<NA>서울특별시 중구 황학동 603-4번지서울특별시 중구 퇴계로87길 23-7 (황학동)4576창현유통2014-07-14 11:31:27I2018-08-31 23:59:59.0식육가공업201763.072485451586.385523축산물가공업식육가공업00000
5301000030100000042001000420010503<NA>3폐업2폐업20070122<NA><NA><NA>2236-192744.46<NA>서울특별시 중구 황학동 586번지서울특별시 중구 퇴계로87길 29-10 (황학동)<NA>우리상회2007-01-22 15:24:11I2018-08-31 23:59:59.0식육가공업201745.385831451624.588476축산물가공업식육가공업00000
6301000030100000042001000520010809<NA>3폐업2폐업20141215<NA><NA><NA>2238-134726.61<NA>서울특별시 중구 황학동 590번지서울특별시 중구 퇴계로87길 29-7 (황학동)4576정상닭집2015-01-07 17:09:05I2018-08-31 23:59:59.0식육가공업201754.672298451611.960141축산물가공업식육가공업00000
7301000030100000042001000620010503<NA>1영업/정상0정상<NA><NA><NA><NA>2237-40420.0<NA>서울특별시 중구 황학동 627서울특별시 중구 퇴계로87길 17-1 (황학동)4576신흥상회2022-07-11 10:38:16U2021-12-06 23:03:00.0식육가공업201779.001961451556.938504<NA><NA><NA><NA><NA>
830100003010000004200100072001-05-19<NA>3폐업2폐업2023-10-20<NA><NA>2023-10-20<NA>23.85<NA>서울특별시 중구 황학동 604서울특별시 중구 퇴계로87길 23-5 (황학동)4576안성유통2023-10-20 16:28:49U2022-10-30 22:02:00.0식육가공업201769.020969451586.459143<NA><NA><NA><NA><NA>
9301000030100000042001000820021118<NA>3폐업2폐업20110404<NA><NA><NA>2253-586750.0<NA>서울특별시 중구 황학동 402번지 1층서울특별시 중구 퇴계로87길 23-16 (황학동,1층)<NA>기쁨상회2011-04-04 16:58:14I2018-08-31 23:59:59.0식육가공업201723.940256451600.446443축산물가공업식육가공업00000
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
87301000030100000042018000120180614<NA>3폐업2폐업20190925<NA><NA>20190925<NA>0.0<NA>서울특별시 중구 황학동 701번지서울특별시 중구 퇴계로87길 3-8, 2층 (황학동)4576영호야네2019-09-25 16:42:05U2019-09-27 02:40:00.0식육가공업201776.259549451537.710727축산물가공업식육가공업00000
88301000030100000042019000120190503<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 중구 황학동 603-3서울특별시 중구 퇴계로87길 23-9 (황학동)4576주식회사 다온식품2020-09-16 15:07:05U2020-09-18 02:40:00.0식육가공업201758.040566451586.279676축산물가공업식육가공업0L000
8930100003010000004201900022019-06-14<NA>1영업/정상0정상<NA><NA><NA><NA>02-2294-06040.0<NA>서울특별시 중구 황학동 544서울특별시 중구 퇴계로87길 43-14, 1층 (황학동)4576우석이네2024-05-07 16:49:32U2023-12-05 00:09:00.0식육가공업201735.746519451707.033484<NA><NA><NA><NA><NA>
9030100003010000004202000012020-02-12<NA>3폐업2폐업2024-02-23<NA><NA>2024-02-23<NA>0.0<NA>서울특별시 중구 황학동 601서울특별시 중구 퇴계로87길 23-14 (황학동)4576호남상회2024-02-23 09:46:30U2023-12-01 22:06:00.0식육가공업201738.292515451602.44536<NA><NA><NA><NA><NA>
91301000030100000042020000220201130<NA>3폐업2폐업20221114<NA><NA>2022111402-2238-000879.7<NA>서울특별시 중구 황학동 402서울특별시 중구 퇴계로87길 23-16, 지하1,1층 (황학동)4576기쁨상회2022-11-14 17:05:03U2021-10-31 23:06:00.0식육가공업201723.940256451600.446443<NA><NA><NA><NA><NA>
92301000030100000042020000320201203<NA>1영업/정상0정상<NA><NA><NA><NA><NA>773.0<NA>서울특별시 중구 황학동 582서울특별시 중구 퇴계로87길 35-3, 지하 1층 (황학동)4576디(THE) 에스아이 트레이딩2020-12-08 17:01:46U2020-12-10 02:40:00.0식육가공업201775.537391451638.555518축산물가공업식육가공업00000
93301000030100000042021000120210614<NA>1영업/정상0정상<NA><NA><NA><NA>02-771-771714.35<NA>서울특별시 중구 을지로2가 199-40 명동아르누보센텀서울특별시 중구 명동7길 21, 명동아르누보센텀 317, 318호 (을지로2가)4534초선각2021-06-14 16:20:54I2021-06-16 00:22:54.0식육가공업198505.140767451381.113106축산물가공업식육가공업00000
94301000030100000042022000120220105<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 중구 황학동 646-1서울특별시 중구 난계로11길 45, 2층 (황학동)4575잇밋2022-01-05 10:26:08I2022-01-07 00:22:51.0식육가공업201825.924078451631.729052축산물가공업식육가공업00000
9530100003010000004202200022022-08-10<NA>3폐업2폐업2024-03-22<NA><NA>2024-03-2202-380-96470.0<NA>서울특별시 중구 황학동 2545 롯데캐슬베네치아서울특별시 중구 청계천로 400, 지하2층 (황학동, 롯데캐슬베네치아)4572(주)이마트CK청계천2024-03-22 14:15:07U2023-12-02 22:04:00.0식육가공업201823.908977452076.818664<NA><NA><NA><NA><NA>
9630100003010000004202300012017-04-06<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 중구 황학동 583-1서울특별시 중구 퇴계로87길 29-6, 1층,지하층 (황학동)4576형가푸드2023-08-14 10:42:30I2022-12-07 23:07:00.0식육가공업201767.48509451627.226023<NA><NA><NA><NA><NA>