Overview

Dataset statistics

Number of variables30
Number of observations45
Missing cells259
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory256.9 B

Variable types

Categorical12
Numeric5
DateTime5
Unsupported4
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-18110/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (73.8%)Imbalance
축산일련번호 is highly imbalanced (84.6%)Imbalance
총인원 is highly imbalanced (84.6%)Imbalance
인허가취소일자 has 45 (100.0%) missing valuesMissing
폐업일자 has 11 (24.4%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
재개업일자 has 33 (73.3%) missing valuesMissing
전화번호 has 11 (24.4%) missing valuesMissing
소재지우편번호 has 45 (100.0%) missing valuesMissing
도로명우편번호 has 24 (53.3%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 33 (73.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:57:22.596323
Analysis finished2024-05-11 06:57:23.181615
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
3080000
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 45
100.0%

Length

2024-05-11T15:57:23.274088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:23.396330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 45
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.08 × 1017
Minimum3.08 × 1017
Maximum3.08 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T15:57:23.572697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.08 × 1017
5-th percentile3.08 × 1017
Q13.08 × 1017
median3.08 × 1017
Q33.08 × 1017
95-th percentile3.08 × 1017
Maximum3.08 × 1017
Range240000
Interquartile range (IQR)90048

Descriptive statistics

Standard deviation61875.204
Coefficient of variation (CV)2.0089352 × 10-13
Kurtosis-0.77866058
Mean3.08 × 1017
Median Absolute Deviation (MAD)49984
Skewness0.073327714
Sum-4.5867441 × 1018
Variance3.8285409 × 109
MonotonicityStrictly increasing
2024-05-11T15:57:23.800404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
308000000419980001 1
 
2.2%
308000000420150001 1
 
2.2%
308000000420110003 1
 
2.2%
308000000420120001 1
 
2.2%
308000000420120002 1
 
2.2%
308000000420120003 1
 
2.2%
308000000420130001 1
 
2.2%
308000000420130002 1
 
2.2%
308000000420130003 1
 
2.2%
308000000420140001 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
308000000419980001 1
2.2%
308000000420000001 1
2.2%
308000000420000002 1
2.2%
308000000420010001 1
2.2%
308000000420010002 1
2.2%
308000000420030001 1
2.2%
308000000420030003 1
2.2%
308000000420030004 1
2.2%
308000000420040002 1
2.2%
308000000420050001 1
2.2%
ValueCountFrequency (%)
308000000420220001 1
2.2%
308000000420210001 1
2.2%
308000000420200002 1
2.2%
308000000420200001 1
2.2%
308000000420190001 1
2.2%
308000000420180001 1
2.2%
308000000420160002 1
2.2%
308000000420160001 1
2.2%
308000000420150003 1
2.2%
308000000420150002 1
2.2%

인허가일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum1998-09-18 00:00:00
Maximum2021-04-01 00:00:00
2024-05-11T15:57:24.023691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:24.256797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
3
33 
1
11 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 33
73.3%
1 11
 
24.4%
4 1
 
2.2%

Length

2024-05-11T15:57:24.483015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:24.641156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 33
73.3%
1 11
 
24.4%
4 1
 
2.2%

영업상태명
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
33 
영업/정상
11 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 33
73.3%
영업/정상 11
 
24.4%
취소/말소/만료/정지/중지 1
 
2.2%

Length

2024-05-11T15:57:24.823112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:25.014231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
73.3%
영업/정상 11
 
24.4%
취소/말소/만료/정지/중지 1
 
2.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
2
33 
0
11 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
2 33
73.3%
0 11
 
24.4%
4 1
 
2.2%

Length

2024-05-11T15:57:25.248951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:25.396687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 33
73.3%
0 11
 
24.4%
4 1
 
2.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
33 
정상
11 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 33
73.3%
정상 11
 
24.4%
말소 1
 
2.2%

Length

2024-05-11T15:57:25.567842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:25.728406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
73.3%
정상 11
 
24.4%
말소 1
 
2.2%

폐업일자
Date

MISSING 

Distinct34
Distinct (%)100.0%
Missing11
Missing (%)24.4%
Memory size492.0 B
Minimum2003-12-16 00:00:00
Maximum2023-11-15 00:00:00
2024-05-11T15:57:25.905300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:26.132402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

재개업일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing33
Missing (%)73.3%
Memory size492.0 B
Minimum2016-08-30 00:00:00
Maximum2023-11-15 00:00:00
2024-05-11T15:57:26.314043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:26.458708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

전화번호
Text

MISSING 

Distinct32
Distinct (%)94.1%
Missing11
Missing (%)24.4%
Memory size492.0 B
2024-05-11T15:57:26.709024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.3823529
Min length8

Characters and Unicode

Total characters319
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

Unique30 ?
Unique (%)88.2%

Sample

1st row991-8123
2nd row904-8333
3rd row956-9001
4th row985-5290
5th row994-3998
ValueCountFrequency (%)
070-4104-6375 2
 
5.9%
02-997-8022 2
 
5.9%
991-8123 1
 
2.9%
02-993-7124 1
 
2.9%
999-5801 1
 
2.9%
02-988-1222 1
 
2.9%
02-945-5077 1
 
2.9%
02-989-9692 1
 
2.9%
02-6404-9827 1
 
2.9%
02-988-6321 1
 
2.9%
Other values (22) 22
64.7%
2024-05-11T15:57:27.211956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 62
19.4%
- 48
15.0%
0 39
12.2%
2 36
11.3%
8 31
9.7%
4 23
 
7.2%
7 20
 
6.3%
1 17
 
5.3%
5 16
 
5.0%
6 15
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 271
85.0%
Dash Punctuation 48
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 62
22.9%
0 39
14.4%
2 36
13.3%
8 31
11.4%
4 23
 
8.5%
7 20
 
7.4%
1 17
 
6.3%
5 16
 
5.9%
6 15
 
5.5%
3 12
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 62
19.4%
- 48
15.0%
0 39
12.2%
2 36
11.3%
8 31
9.7%
4 23
 
7.2%
7 20
 
6.3%
1 17
 
5.3%
5 16
 
5.0%
6 15
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 62
19.4%
- 48
15.0%
0 39
12.2%
2 36
11.3%
8 31
9.7%
4 23
 
7.2%
7 20
 
6.3%
1 17
 
5.3%
5 16
 
5.0%
6 15
 
4.7%

소재지면적
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.362667
Minimum0
Maximum351.7
Zeros33
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T15:57:27.491696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q343.4
95-th percentile262.984
Maximum351.7
Range351.7
Interquartile range (IQR)43.4

Descriptive statistics

Standard deviation96.415825
Coefficient of variation (CV)2.0796005
Kurtosis3.0883162
Mean46.362667
Median Absolute Deviation (MAD)0
Skewness2.0813397
Sum2086.32
Variance9296.0112
MonotonicityNot monotonic
2024-05-11T15:57:27.690780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 33
73.3%
229.0 2
 
4.4%
69.75 1
 
2.2%
47.12 1
 
2.2%
69.85 1
 
2.2%
43.4 1
 
2.2%
55.97 1
 
2.2%
351.7 1
 
2.2%
150.0 1
 
2.2%
258.0 1
 
2.2%
Other values (2) 2
 
4.4%
ValueCountFrequency (%)
0.0 33
73.3%
43.4 1
 
2.2%
47.12 1
 
2.2%
55.97 1
 
2.2%
69.75 1
 
2.2%
69.85 1
 
2.2%
150.0 1
 
2.2%
229.0 2
 
4.4%
258.0 1
 
2.2%
264.23 1
 
2.2%
ValueCountFrequency (%)
351.7 1
2.2%
318.3 1
2.2%
264.23 1
2.2%
258.0 1
2.2%
229.0 2
4.4%
150.0 1
2.2%
69.85 1
2.2%
69.75 1
2.2%
55.97 1
2.2%
47.12 1
2.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

지번주소
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T15:57:28.081106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length24.222222
Min length19

Characters and Unicode

Total characters1090
Distinct characters59
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row서울특별시 강북구 수유동 23-61번지
2nd row서울특별시 강북구 수유동 270-186번지
3rd row서울특별시 강북구 수유동 279-5번지
4th row서울특별시 강북구 번동 464-17 지1층
5th row서울특별시 강북구 수유동 410-46번지
ValueCountFrequency (%)
서울특별시 45
21.6%
강북구 45
21.6%
수유동 26
12.5%
번동 10
 
4.8%
지층 8
 
3.8%
미아동 7
 
3.4%
1층 4
 
1.9%
468-139번지 2
 
1.0%
우이동 2
 
1.0%
136번지 1
 
0.5%
Other values (58) 58
27.9%
2024-05-11T15:57:28.671454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
18.1%
1 49
 
4.5%
북 46
 
4.2%
서 45
 
4.1%
특 45
 
4.1%
별 45
 
4.1%
시 45
 
4.1%
강 45
 
4.1%
구 45
 
4.1%
울 45
 
4.1%
Other values (49) 483
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 606
55.6%
Decimal Number 237
 
21.7%
Space Separator 197
 
18.1%
Dash Punctuation 43
 
3.9%
Other Punctuation 4
 
0.4%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 46
 
7.6%
서 45
 
7.4%
특 45
 
7.4%
별 45
 
7.4%
시 45
 
7.4%
강 45
 
7.4%
구 45
 
7.4%
울 45
 
7.4%
동 45
 
7.4%
지 39
 
6.4%
Other values (33) 161
26.6%
Decimal Number
ValueCountFrequency (%)
1 49
20.7%
2 28
11.8%
3 28
11.8%
5 26
11.0%
6 25
10.5%
4 21
8.9%
0 20
8.4%
8 18
 
7.6%
7 13
 
5.5%
9 9
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
T 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 606
55.6%
Common 481
44.1%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 46
 
7.6%
서 45
 
7.4%
특 45
 
7.4%
별 45
 
7.4%
시 45
 
7.4%
강 45
 
7.4%
구 45
 
7.4%
울 45
 
7.4%
동 45
 
7.4%
지 39
 
6.4%
Other values (33) 161
26.6%
Common
ValueCountFrequency (%)
197
41.0%
1 49
 
10.2%
- 43
 
8.9%
2 28
 
5.8%
3 28
 
5.8%
5 26
 
5.4%
6 25
 
5.2%
4 21
 
4.4%
0 20
 
4.2%
8 18
 
3.7%
Other values (3) 26
 
5.4%
Latin
ValueCountFrequency (%)
P 1
33.3%
T 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 606
55.6%
ASCII 484
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
40.7%
1 49
 
10.1%
- 43
 
8.9%
2 28
 
5.8%
3 28
 
5.8%
5 26
 
5.4%
6 25
 
5.2%
4 21
 
4.3%
0 20
 
4.1%
8 18
 
3.7%
Other values (6) 29
 
6.0%
Hangul
ValueCountFrequency (%)
북 46
 
7.6%
서 45
 
7.4%
특 45
 
7.4%
별 45
 
7.4%
시 45
 
7.4%
강 45
 
7.4%
구 45
 
7.4%
울 45
 
7.4%
동 45
 
7.4%
지 39
 
6.4%
Other values (33) 161
26.6%

도로명주소
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T15:57:29.026751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length28
Min length22

Characters and Unicode

Total characters1260
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

Unique43 ?
Unique (%)95.6%

Sample

1st row서울특별시 강북구 노해로11길 17 (수유동)
2nd row서울특별시 강북구 노해로23길 68 (수유동)
3rd row서울특별시 강북구 삼양로139길 5 (수유동)
4th row서울특별시 강북구 한천로132길 57, 지1층 (번동)
5th row서울특별시 강북구 인수봉로 221 (수유동)
ValueCountFrequency (%)
서울특별시 45
17.9%
강북구 45
17.9%
수유동 24
 
9.5%
번동 10
 
4.0%
미아동 7
 
2.8%
지층 5
 
2.0%
1층 4
 
1.6%
오현로31길 4
 
1.6%
인수봉로 4
 
1.6%
노해로23길 3
 
1.2%
Other values (84) 101
40.1%
2024-05-11T15:57:29.619344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
 
16.4%
1 56
 
4.4%
북 46
 
3.7%
서 45
 
3.6%
동 45
 
3.6%
) 45
 
3.6%
로 45
 
3.6%
울 45
 
3.6%
구 45
 
3.6%
( 45
 
3.6%
Other values (65) 636
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 729
57.9%
Space Separator 207
 
16.4%
Decimal Number 203
 
16.1%
Close Punctuation 45
 
3.6%
Open Punctuation 45
 
3.6%
Other Punctuation 27
 
2.1%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 46
 
6.3%
서 45
 
6.2%
동 45
 
6.2%
로 45
 
6.2%
울 45
 
6.2%
구 45
 
6.2%
강 45
 
6.2%
시 45
 
6.2%
별 45
 
6.2%
특 45
 
6.2%
Other values (49) 278
38.1%
Decimal Number
ValueCountFrequency (%)
1 56
27.6%
3 23
11.3%
2 22
 
10.8%
9 20
 
9.9%
7 20
 
9.9%
4 20
 
9.9%
6 13
 
6.4%
0 11
 
5.4%
5 10
 
4.9%
8 8
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 23
85.2%
. 4
 
14.8%
Space Separator
ValueCountFrequency (%)
207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 729
57.9%
Common 531
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 46
 
6.3%
서 45
 
6.2%
동 45
 
6.2%
로 45
 
6.2%
울 45
 
6.2%
구 45
 
6.2%
강 45
 
6.2%
시 45
 
6.2%
별 45
 
6.2%
특 45
 
6.2%
Other values (49) 278
38.1%
Common
ValueCountFrequency (%)
207
39.0%
1 56
 
10.5%
) 45
 
8.5%
( 45
 
8.5%
, 23
 
4.3%
3 23
 
4.3%
2 22
 
4.1%
9 20
 
3.8%
7 20
 
3.8%
4 20
 
3.8%
Other values (6) 50
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 729
57.9%
ASCII 531
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
39.0%
1 56
 
10.5%
) 45
 
8.5%
( 45
 
8.5%
, 23
 
4.3%
3 23
 
4.3%
2 22
 
4.1%
9 20
 
3.8%
7 20
 
3.8%
4 20
 
3.8%
Other values (6) 50
 
9.4%
Hangul
ValueCountFrequency (%)
북 46
 
6.3%
서 45
 
6.2%
동 45
 
6.2%
로 45
 
6.2%
울 45
 
6.2%
구 45
 
6.2%
강 45
 
6.2%
시 45
 
6.2%
별 45
 
6.2%
특 45
 
6.2%
Other values (49) 278
38.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)76.2%
Missing24
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean1092.7143
Minimum1004
Maximum1227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T15:57:29.866399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile1004
Q11047
median1056
Q31144
95-th percentile1227
Maximum1227
Range223
Interquartile range (IQR)97

Descriptive statistics

Standard deviation73.546681
Coefficient of variation (CV)0.067306415
Kurtosis-0.81381449
Mean1092.7143
Median Absolute Deviation (MAD)47
Skewness0.61291367
Sum22947
Variance5409.1143
MonotonicityNot monotonic
2024-05-11T15:57:30.026007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1227 2
 
4.4%
1004 2
 
4.4%
1144 2
 
4.4%
1048 2
 
4.4%
1016 2
 
4.4%
1119 1
 
2.2%
1175 1
 
2.2%
1097 1
 
2.2%
1056 1
 
2.2%
1052 1
 
2.2%
Other values (6) 6
 
13.3%
(Missing) 24
53.3%
ValueCountFrequency (%)
1004 2
4.4%
1016 2
4.4%
1021 1
2.2%
1047 1
2.2%
1048 2
4.4%
1052 1
2.2%
1055 1
2.2%
1056 1
2.2%
1097 1
2.2%
1103 1
2.2%
ValueCountFrequency (%)
1227 2
4.4%
1214 1
2.2%
1175 1
2.2%
1144 2
4.4%
1130 1
2.2%
1119 1
2.2%
1103 1
2.2%
1097 1
2.2%
1056 1
2.2%
1055 1
2.2%

사업장명
Text

Distinct40
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T15:57:30.326338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.7555556
Min length2

Characters and Unicode

Total characters259
Distinct characters102
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)77.8%

Sample

1st row신상
2nd row신일식품
3rd row(주)도봉산유통
4th row(주)본푸드코아
5th row선일유통
ValueCountFrequency (%)
주식회사 5
 
9.3%
솔샘유통 2
 
3.7%
홈메이드 2
 
3.7%
푸드 2
 
3.7%
푸드코아 2
 
3.7%
예지신성유통 2
 
3.7%
백운축산 2
 
3.7%
디앤지에프 1
 
1.9%
주)서울이푸드 1
 
1.9%
동방유통 1
 
1.9%
Other values (34) 34
63.0%
2024-05-11T15:57:31.102926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 14
 
5.4%
주 12
 
4.6%
푸 12
 
4.6%
식 11
 
4.2%
유 10
 
3.9%
통 10
 
3.9%
9
 
3.5%
지 7
 
2.7%
사 7
 
2.7%
) 7
 
2.7%
Other values (92) 160
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
88.8%
Space Separator 9
 
3.5%
Close Punctuation 7
 
2.7%
Open Punctuation 7
 
2.7%
Uppercase Letter 6
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 14
 
6.1%
주 12
 
5.2%
푸 12
 
5.2%
식 11
 
4.8%
유 10
 
4.3%
통 10
 
4.3%
지 7
 
3.0%
사 7
 
3.0%
품 6
 
2.6%
산 5
 
2.2%
Other values (83) 136
59.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
16.7%
P 1
16.7%
J 1
16.7%
K 1
16.7%
F 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
88.8%
Common 23
 
8.9%
Latin 6
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 14
 
6.1%
주 12
 
5.2%
푸 12
 
5.2%
식 11
 
4.8%
유 10
 
4.3%
통 10
 
4.3%
지 7
 
3.0%
사 7
 
3.0%
품 6
 
2.6%
산 5
 
2.2%
Other values (83) 136
59.1%
Latin
ValueCountFrequency (%)
D 1
16.7%
P 1
16.7%
J 1
16.7%
K 1
16.7%
F 1
16.7%
S 1
16.7%
Common
ValueCountFrequency (%)
9
39.1%
) 7
30.4%
( 7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
88.8%
ASCII 29
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 14
 
6.1%
주 12
 
5.2%
푸 12
 
5.2%
식 11
 
4.8%
유 10
 
4.3%
통 10
 
4.3%
지 7
 
3.0%
사 7
 
3.0%
품 6
 
2.6%
산 5
 
2.2%
Other values (83) 136
59.1%
ASCII
ValueCountFrequency (%)
9
31.0%
) 7
24.1%
( 7
24.1%
D 1
 
3.4%
P 1
 
3.4%
J 1
 
3.4%
K 1
 
3.4%
F 1
 
3.4%
S 1
 
3.4%

최종수정일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2003-12-16 16:59:39
Maximum2024-05-09 14:38:27
2024-05-11T15:57:31.284536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:31.457943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
I
28 
U
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 28
62.2%
U 17
37.8%

Length

2024-05-11T15:57:31.642175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:31.794068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 28
62.2%
u 17
37.8%

데이터갱신일자
Date

Distinct19
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T15:57:31.962200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:32.165624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
식육가공업
43 
알가공업
 
2

Length

Max length5
Median length5
Mean length4.9555556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 43
95.6%
알가공업 2
 
4.4%

Length

2024-05-11T15:57:32.335419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:32.464540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 43
95.6%
알가공업 2
 
4.4%

좌표정보(X)
Real number (ℝ)

Distinct40
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201863.45
Minimum200449.66
Maximum203405.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T15:57:32.589926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200449.66
5-th percentile200579.77
Q1201148.87
median201880.11
Q3202324.44
95-th percentile203120.8
Maximum203405.73
Range2956.0635
Interquartile range (IQR)1175.5624

Descriptive statistics

Standard deviation769.54946
Coefficient of variation (CV)0.0038122279
Kurtosis-0.57049282
Mean201863.45
Median Absolute Deviation (MAD)682.52805
Skewness0.14986528
Sum9083855.1
Variance592206.38
MonotonicityNot monotonic
2024-05-11T15:57:32.784376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
203405.728060301 2
 
4.4%
201148.87307053 2
 
4.4%
201119.639609284 2
 
4.4%
202973.127176547 2
 
4.4%
201065.828092737 2
 
4.4%
201840.687840794 1
 
2.2%
201902.17153821 1
 
2.2%
201984.345113059 1
 
2.2%
200478.394638421 1
 
2.2%
200449.664521046 1
 
2.2%
Other values (30) 30
66.7%
ValueCountFrequency (%)
200449.664521046 1
2.2%
200478.394638421 1
2.2%
200491.306966193 1
2.2%
200933.61599743 1
2.2%
201065.828092737 2
4.4%
201068.747480217 1
2.2%
201092.080265436 1
2.2%
201110.803352282 1
2.2%
201119.639609284 2
4.4%
201148.87307053 2
4.4%
ValueCountFrequency (%)
203405.728060301 2
4.4%
203157.143277972 1
2.2%
202975.415452234 1
2.2%
202973.127176547 2
4.4%
202829.119627439 1
2.2%
202584.95535682 1
2.2%
202570.870213503 1
2.2%
202562.642642324 1
2.2%
202339.441343834 1
2.2%
202324.435492387 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct40
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459341.89
Minimum456614.81
Maximum461975.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T15:57:32.955938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456614.81
5-th percentile457712.65
Q1458798.57
median459203.75
Q3460141.93
95-th percentile460728.86
Maximum461975.21
Range5360.4072
Interquartile range (IQR)1343.3613

Descriptive statistics

Standard deviation1087.1924
Coefficient of variation (CV)0.0023668478
Kurtosis0.59815914
Mean459341.89
Median Absolute Deviation (MAD)776.734
Skewness0.083688825
Sum20670385
Variance1181987.2
MonotonicityNot monotonic
2024-05-11T15:57:33.115777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
458203.976557842 2
 
4.4%
458902.691020601 2
 
4.4%
461975.213006348 2
 
4.4%
458955.176048982 2
 
4.4%
458427.019162508 2
 
4.4%
459612.639656957 1
 
2.2%
458216.135591417 1
 
2.2%
456614.805805491 1
 
2.2%
460141.932060276 1
 
2.2%
460157.737132046 1
 
2.2%
Other values (30) 30
66.7%
ValueCountFrequency (%)
456614.805805491 1
2.2%
457277.725580686 1
2.2%
457691.802407444 1
2.2%
457796.042748914 1
2.2%
458203.976557842 2
4.4%
458216.135591417 1
2.2%
458427.019162508 2
4.4%
458564.046357156 1
2.2%
458586.415551302 1
2.2%
458798.570800694 1
2.2%
ValueCountFrequency (%)
461975.213006348 2
4.4%
460746.864832433 1
2.2%
460656.833483366 1
2.2%
460587.496392076 1
2.2%
460398.622049329 1
2.2%
460265.694485786 1
2.2%
460212.820839826 1
2.2%
460192.629440106 1
2.2%
460157.737132046 1
2.2%
460145.391984004 1
2.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
축산물가공업
35 
<NA>
10 

Length

Max length6
Median length6
Mean length5.5555556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 35
77.8%
<NA> 10
 
22.2%

Length

2024-05-11T15:57:33.300471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:33.459372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 35
77.8%
na 10
 
22.2%

축산물가공업구분명
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
식육가공업
33 
<NA>
10 
알가공업
 
2

Length

Max length5
Median length5
Mean length4.7333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 33
73.3%
<NA> 10
 
22.2%
알가공업 2
 
4.4%

Length

2024-05-11T15:57:33.615566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:33.775440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 33
73.3%
na 10
 
22.2%
알가공업 2
 
4.4%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T15:57:33.968222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:34.147840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

권리주체일련번호
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
000
28 
<NA>
10 
L00
7 

Length

Max length4
Median length3
Mean length3.2222222
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 28
62.2%
<NA> 10
 
22.2%
L00 7
 
15.6%

Length

2024-05-11T15:57:34.347757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:34.517167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 28
62.2%
na 10
 
22.2%
l00 7
 
15.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T15:57:34.670365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:34.786533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0308000030800000041998000119980918<NA>3폐업2폐업20040705<NA><NA><NA>991-81230.0<NA>서울특별시 강북구 수유동 23-61번지서울특별시 강북구 노해로11길 17 (수유동)<NA>신상2004-07-05 17:12:31I2018-08-31 23:59:59.0식육가공업201840.687841459612.639657축산물가공업식육가공업<NA>000<NA>
1308000030800000042000000120000215<NA>3폐업2폐업20161230<NA><NA><NA>904-83330.0<NA>서울특별시 강북구 수유동 270-186번지서울특별시 강북구 노해로23길 68 (수유동)1047신일식품2017-01-06 17:53:22I2018-08-31 23:59:59.0식육가공업201696.715647460398.622049축산물가공업식육가공업<NA>000<NA>
2308000030800000042000000220001108<NA>4취소/말소/만료/정지/중지4말소20161109<NA><NA><NA>956-90010.0<NA>서울특별시 강북구 수유동 279-5번지서울특별시 강북구 삼양로139길 5 (수유동)<NA>(주)도봉산유통2016-12-02 11:43:30I2018-08-31 23:59:59.0식육가공업201110.803352460746.864832축산물가공업식육가공업<NA>000<NA>
330800003080000004200100012001-07-05<NA>1영업/정상0정상<NA><NA><NA><NA>985-52900.0<NA>서울특별시 강북구 번동 464-17 지1층서울특별시 강북구 한천로132길 57, 지1층 (번동)1056(주)본푸드코아2023-10-27 10:30:43U2022-10-30 22:09:00.0식육가공업202570.870214459880.637994<NA><NA><NA><NA><NA>
4308000030800000042001000220010823<NA>3폐업2폐업20060217<NA><NA><NA>994-39980.0<NA>서울특별시 강북구 수유동 410-46번지서울특별시 강북구 인수봉로 221 (수유동)<NA>선일유통2006-02-17 14:39:12I2018-08-31 23:59:59.0식육가공업201092.080265459627.010014축산물가공업식육가공업<NA>000<NA>
5308000030800000042003000120030516<NA>3폐업2폐업20050718<NA><NA><NA><NA>0.0<NA>서울특별시 강북구 미아동 158-12번지서울특별시 강북구 도봉로78길 51 (미아동)<NA>JK푸드2005-07-18 17:15:55I2018-08-31 23:59:59.0식육가공업202251.774751459067.967953축산물가공업식육가공업<NA>000<NA>
6308000030800000042003000320030617<NA>3폐업2폐업20031216<NA><NA><NA>945-77590.0<NA>서울특별시 강북구 미아동 314-86번지서울특별시 강북구 도봉로41길 57 (미아동)<NA>복사골식품2003-12-16 16:59:39I2018-08-31 23:59:59.0식육가공업202055.626238457796.042749축산물가공업식육가공업<NA>000<NA>
7308000030800000042003000420030328<NA>3폐업2폐업20050317<NA><NA><NA>981-55560.0<NA>서울특별시 강북구 수유동 56-169번지서울특별시 강북구 수유로4길 19 (수유동)<NA>에덴식품2005-05-20 14:06:05I2018-08-31 23:59:59.0식육가공업201655.705323458825.657984축산물가공업식육가공업<NA>000<NA>
8308000030800000042004000220040729<NA>3폐업2폐업20050128<NA><NA><NA>984-66890.0<NA>서울특별시 강북구 수유동 50-19번지서울특별시 강북구 도봉로71가길 37 (수유동)<NA>(주)돼지의 꿈2005-01-28 11:10:37I2018-08-31 23:59:59.0식육가공업201866.909015458954.43692축산물가공업식육가공업<NA>000<NA>
9308000030800000042005000120050128<NA>3폐업2폐업20070706<NA><NA><NA>997-340469.75<NA>서울특별시 강북구 수유동 29-73번지서울특별시 강북구 노해로11길 42 (수유동)<NA>(주)세심촌2007-07-06 17:59:30I2018-08-31 23:59:59.0식육가공업201723.534028459620.383863축산물가공업식육가공업<NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
35308000030800000042015000220150127<NA>3폐업2폐업20180416<NA><NA>20180416<NA>0.0<NA>서울특별시 강북구 번동 510-35번지 지층서울특별시 강북구 오현로31길 129, 지층 (번동)1144푸드코아2018-04-17 09:20:13I2018-08-31 23:59:59.0식육가공업202973.127177458955.176049축산물가공업식육가공업<NA>000<NA>
36308000030800000042015000320151110<NA>3폐업2폐업20200619<NA><NA>20200619070-4104-63750.0<NA>서울특별시 강북구 우이동 38-1번지 지층서울특별시 강북구 삼양로 641, 지층 (우이동, 재원빌딩)1004홈메이드 푸드2020-06-19 10:13:51U2020-06-21 02:40:00.0식육가공업201119.639609461975.213006축산물가공업식육가공업<NA>000<NA>
37308000030800000042016000120160120<NA>3폐업2폐업20210218<NA><NA>2021021802-989-22220.0<NA>서울특별시 강북구 번동 136 솔그린APT상가 지층 101호서울특별시 강북구 한천로109길 83, 지층 101호 (번동, 솔그린아파트)1227솔샘유통2021-02-18 17:35:23U2021-02-20 02:40:00.0식육가공업203405.72806458203.976558축산물가공업식육가공업<NA>000<NA>
3830800003080000004201600022016-09-12<NA>1영업/정상0정상<NA><NA><NA><NA>02-977-77290.0<NA>서울특별시 강북구 번동 762-3 지층, 1층 가운데서울특별시 강북구 도봉로76길 74, 지층,1층가운데호 (번동)1130주식회사 제일에프앤디2024-05-09 14:38:27U2023-12-04 23:01:00.0식육가공업202324.435492459111.488229<NA><NA><NA><NA><NA>
3930800003080000004201800012018-01-17<NA>3폐업2폐업2023-02-08<NA><NA>2023-02-08<NA>0.0<NA>서울특별시 강북구 수유동 482-11 지층서울특별시 강북구 삼양로73길 3, 지층 (수유동)1103주식회사 더준푸드윈2023-02-08 16:32:38U2022-12-01 23:00:00.0식육가공업201483.806605458564.046357<NA><NA><NA><NA><NA>
4030800003080000004201900012019-07-08<NA>1영업/정상0정상<NA><NA><NA><NA>02-999-36840.0<NA>서울특별시 강북구 수유동 252-101 가온빌딩 1층서울특별시 강북구 노해로27길 3, 가온빌딩 1층 (수유동)1048엄마손 돼지불백2024-03-26 14:16:49U2023-12-02 22:08:00.0식육가공업201985.291609460265.694486<NA><NA><NA><NA><NA>
41308000030800000042020000120200323<NA>3폐업2폐업20210224<NA><NA>20210224<NA>0.0<NA>서울특별시 강북구 수유동 168-50 태일빌딩서울특별시 강북구 도봉로 403, 태일빌딩 1층 (수유동)1055사월돈가스2021-02-24 13:52:46U2021-02-26 02:40:00.0식육가공업202584.955357460019.814255축산물가공업식육가공업<NA>000<NA>
4230800003080000004202000022020-06-24<NA>1영업/정상0정상<NA><NA><NA><NA>070-4104-63750.0<NA>서울특별시 강북구 우이동 38-1 재원빌딩서울특별시 강북구 삼양로 641, 재원빌딩 지하1층 (우이동)1004홈메이드 푸드2024-03-15 14:14:03U2023-12-02 23:07:00.0식육가공업201119.639609461975.213006<NA><NA><NA><NA><NA>
4330800003080000004202100012021-04-01<NA>3폐업2폐업2023-11-15<NA><NA>2023-11-1502-985-52900.0<NA>서울특별시 강북구 번동 510-35 충신빌딩 지하1층 좌측호서울특별시 강북구 오현로31길 129, 충신빌딩 지1층 좌측호 (번동)1144푸드코아2023-11-15 12:48:31U2022-10-31 23:07:00.0식육가공업202973.127177458955.176049<NA><NA><NA><NA><NA>
44308000030800000042022000120100608<NA>1영업/정상0정상<NA><NA><NA><NA>968-61660.0<NA>서울특별시 강북구 수유동 524-58 지1,1층서울특별시 강북구 인수봉로 241, 지1,1층 (수유동)1021(주)경동닭유통2022-12-07 09:55:51I2021-11-02 00:09:00.0식육가공업200933.615997459773.356217<NA><NA><NA><NA><NA>