Overview

Dataset statistics

Number of variables30
Number of observations22
Missing cells197
Missing cells (%)29.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory262.0 B

Variable types

Categorical9
Numeric5
DateTime4
Unsupported8
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-18135/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 8 (36.4%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 5 (22.7%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
도로명우편번호 has 8 (36.4%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
축산일련번호 has 22 (100.0%) missing valuesMissing
총인원 has 22 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 16 (72.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:47:30.428981
Analysis finished2024-05-11 06:47:31.030589
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3080000
22 

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 22
100.0%

Length

2024-05-11T15:47:31.136048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:31.310743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 22
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0800001 × 1017
Minimum3.08 × 1017
Maximum3.0800001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T15:47:31.484485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.08 × 1017
5-th percentile3.08 × 1017
Q13.08 × 1017
median3.0800001 × 1017
Q33.0800001 × 1017
95-th percentile3.0800001 × 1017
Maximum3.0800001 × 1017
Range1.000021 × 1010
Interquartile range (IQR)1.0000045 × 1010

Descriptive statistics

Standard deviation4.7673492 × 109
Coefficient of variation (CV)1.5478406 × 10-8
Kurtosis-1.4357895
Mean3.0800001 × 1017
Median Absolute Deviation (MAD)49984
Skewness-0.83904703
Sum6.7760002 × 1018
Variance2.2727619 × 1019
MonotonicityStrictly increasing
2024-05-11T15:47:31.702152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
308000000420020001 1
 
4.5%
308000010420110001 1
 
4.5%
308000010420230001 1
 
4.5%
308000010420220001 1
 
4.5%
308000010420180001 1
 
4.5%
308000010420160001 1
 
4.5%
308000010420140002 1
 
4.5%
308000010420140001 1
 
4.5%
308000010420120002 1
 
4.5%
308000010420120001 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
308000000420020001 1
4.5%
308000000420030002 1
4.5%
308000000420040001 1
4.5%
308000000420070001 1
4.5%
308000000420070003 1
4.5%
308000000420090001 1
4.5%
308000000420090003 1
4.5%
308000010420090001 1
4.5%
308000010420100001 1
4.5%
308000010420100002 1
4.5%
ValueCountFrequency (%)
308000010420230001 1
4.5%
308000010420220001 1
4.5%
308000010420180001 1
4.5%
308000010420160001 1
4.5%
308000010420140002 1
4.5%
308000010420140001 1
4.5%
308000010420120002 1
4.5%
308000010420120001 1
4.5%
308000010420110002 1
4.5%
308000010420110001 1
4.5%

인허가일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2002-04-22 00:00:00
Maximum2023-11-17 00:00:00
2024-05-11T15:47:31.874191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:32.139796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
3
13 
1
8 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
59.1%
1 8
36.4%
4 1
 
4.5%

Length

2024-05-11T15:47:32.379488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:32.593967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
59.1%
1 8
36.4%
4 1
 
4.5%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
13 
영업/정상
8 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.6363636
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
59.1%
영업/정상 8
36.4%
취소/말소/만료/정지/중지 1
 
4.5%

Length

2024-05-11T15:47:32.827311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:33.028773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
59.1%
영업/정상 8
36.4%
취소/말소/만료/정지/중지 1
 
4.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
2
13 
0
8 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
2 13
59.1%
0 8
36.4%
4 1
 
4.5%

Length

2024-05-11T15:47:33.227924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:33.412002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 13
59.1%
0 8
36.4%
4 1
 
4.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
13 
정상
8 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
59.1%
정상 8
36.4%
말소 1
 
4.5%

Length

2024-05-11T15:47:33.611877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:33.794980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
59.1%
정상 8
36.4%
말소 1
 
4.5%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing8
Missing (%)36.4%
Memory size308.0 B
Minimum2009-01-07 00:00:00
Maximum2023-11-15 00:00:00
2024-05-11T15:47:33.966048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:34.181472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)94.1%
Missing5
Missing (%)22.7%
Memory size308.0 B
2024-05-11T15:47:34.458115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length9.4705882
Min length8

Characters and Unicode

Total characters161
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

Unique15 ?
Unique (%)88.2%

Sample

1st row991-4821
2nd row989-2222
3rd row993-5555
4th row986-7662
5th row900-4471
ValueCountFrequency (%)
02-985-5290 2
 
11.8%
991-4821 1
 
5.9%
993-5555 1
 
5.9%
986-7662 1
 
5.9%
900-4471 1
 
5.9%
6404-9827 1
 
5.9%
908-8892 1
 
5.9%
989-2222 1
 
5.9%
02-999-5801 1
 
5.9%
988-0647 1
 
5.9%
Other values (6) 6
35.3%
2024-05-11T15:47:35.058192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 27
16.8%
- 25
15.5%
2 22
13.7%
0 19
11.8%
8 17
10.6%
5 13
8.1%
6 10
 
6.2%
7 10
 
6.2%
4 9
 
5.6%
1 6
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 136
84.5%
Dash Punctuation 25
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 27
19.9%
2 22
16.2%
0 19
14.0%
8 17
12.5%
5 13
9.6%
6 10
 
7.4%
7 10
 
7.4%
4 9
 
6.6%
1 6
 
4.4%
3 3
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 161
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 27
16.8%
- 25
15.5%
2 22
13.7%
0 19
11.8%
8 17
10.6%
5 13
8.1%
6 10
 
6.2%
7 10
 
6.2%
4 9
 
5.6%
1 6
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 161
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 27
16.8%
- 25
15.5%
2 22
13.7%
0 19
11.8%
8 17
10.6%
5 13
8.1%
6 10
 
6.2%
7 10
 
6.2%
4 9
 
5.6%
1 6
 
3.7%

소재지면적
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.128636
Minimum0
Maximum463
Zeros16
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T15:47:35.276749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q393.375
95-th percentile315.5965
Maximum463
Range463
Interquartile range (IQR)93.375

Descriptive statistics

Standard deviation132.67003
Coefficient of variation (CV)1.8652126
Kurtosis2.6224578
Mean71.128636
Median Absolute Deviation (MAD)0
Skewness1.8316405
Sum1564.83
Variance17601.336
MonotonicityNot monotonic
2024-05-11T15:47:35.452416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 16
72.7%
124.5 1
 
4.5%
463.0 1
 
4.5%
165.8 1
 
4.5%
229.0 1
 
4.5%
318.3 1
 
4.5%
264.23 1
 
4.5%
ValueCountFrequency (%)
0.0 16
72.7%
124.5 1
 
4.5%
165.8 1
 
4.5%
229.0 1
 
4.5%
264.23 1
 
4.5%
318.3 1
 
4.5%
463.0 1
 
4.5%
ValueCountFrequency (%)
463.0 1
 
4.5%
318.3 1
 
4.5%
264.23 1
 
4.5%
229.0 1
 
4.5%
165.8 1
 
4.5%
124.5 1
 
4.5%
0.0 16
72.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

지번주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T15:47:35.705952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length24.409091
Min length17

Characters and Unicode

Total characters537
Distinct characters50
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

Unique20 ?
Unique (%)90.9%

Sample

1st row서울특별시 강북구 수유동 274-3번지
2nd row서울특별시 강북구 번동 136
3rd row서울특별시 강북구 수유동 566-24번지
4th row서울특별시 강북구 미아동 460-57번지
5th row서울특별시 강북구 수유동 274-3번지
ValueCountFrequency (%)
서울특별시 22
21.0%
강북구 22
21.0%
미아동 8
 
7.6%
수유동 7
 
6.7%
번동 7
 
6.7%
지층 3
 
2.9%
충신빌딩 2
 
1.9%
지1층 2
 
1.9%
274-3번지 2
 
1.9%
510-35 2
 
1.9%
Other values (28) 28
26.7%
2024-05-11T15:47:36.170525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
17.9%
1 25
 
4.7%
동 23
 
4.3%
북 23
 
4.3%
서 22
 
4.1%
특 22
 
4.1%
별 22
 
4.1%
시 22
 
4.1%
강 22
 
4.1%
구 22
 
4.1%
Other values (40) 238
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
55.3%
Decimal Number 120
22.3%
Space Separator 96
 
17.9%
Dash Punctuation 20
 
3.7%
Other Punctuation 3
 
0.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
 
7.7%
북 23
 
7.7%
서 22
 
7.4%
특 22
 
7.4%
별 22
 
7.4%
시 22
 
7.4%
강 22
 
7.4%
구 22
 
7.4%
울 22
 
7.4%
번 17
 
5.7%
Other values (26) 80
26.9%
Decimal Number
ValueCountFrequency (%)
1 25
20.8%
5 14
11.7%
6 14
11.7%
3 14
11.7%
0 13
10.8%
2 11
9.2%
4 11
9.2%
7 8
 
6.7%
8 8
 
6.7%
9 2
 
1.7%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
55.3%
Common 239
44.5%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
 
7.7%
북 23
 
7.7%
서 22
 
7.4%
특 22
 
7.4%
별 22
 
7.4%
시 22
 
7.4%
강 22
 
7.4%
구 22
 
7.4%
울 22
 
7.4%
번 17
 
5.7%
Other values (26) 80
26.9%
Common
ValueCountFrequency (%)
96
40.2%
1 25
 
10.5%
- 20
 
8.4%
5 14
 
5.9%
6 14
 
5.9%
3 14
 
5.9%
0 13
 
5.4%
2 11
 
4.6%
4 11
 
4.6%
7 8
 
3.3%
Other values (3) 13
 
5.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
55.3%
ASCII 240
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
40.0%
1 25
 
10.4%
- 20
 
8.3%
5 14
 
5.8%
6 14
 
5.8%
3 14
 
5.8%
0 13
 
5.4%
2 11
 
4.6%
4 11
 
4.6%
7 8
 
3.3%
Other values (4) 14
 
5.8%
Hangul
ValueCountFrequency (%)
동 23
 
7.7%
북 23
 
7.7%
서 22
 
7.4%
특 22
 
7.4%
별 22
 
7.4%
시 22
 
7.4%
강 22
 
7.4%
구 22
 
7.4%
울 22
 
7.4%
번 17
 
5.7%
Other values (26) 80
26.9%

도로명주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T15:47:36.511826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length29.227273
Min length22

Characters and Unicode

Total characters643
Distinct characters67
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

Unique20 ?
Unique (%)90.9%

Sample

1st row서울특별시 강북구 삼양로130길 9-21 (수유동)
2nd row서울특별시 강북구 한천로109길 83 (번동)
3rd row서울특별시 강북구 인수봉로 306 (수유동)
4th row서울특별시 강북구 솔샘로64길 39 (미아동)
5th row서울특별시 강북구 삼양로130길 9-21 (수유동)
ValueCountFrequency (%)
서울특별시 22
17.3%
강북구 22
17.3%
미아동 8
 
6.3%
수유동 7
 
5.5%
번동 7
 
5.5%
인수봉로 3
 
2.4%
지1층 3
 
2.4%
오현로31길 3
 
2.4%
지층 3
 
2.4%
충신빌딩 2
 
1.6%
Other values (44) 47
37.0%
2024-05-11T15:47:37.068480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
16.3%
1 39
 
6.1%
동 23
 
3.6%
북 23
 
3.6%
서 22
 
3.4%
특 22
 
3.4%
별 22
 
3.4%
시 22
 
3.4%
강 22
 
3.4%
구 22
 
3.4%
Other values (57) 321
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
55.8%
Decimal Number 115
 
17.9%
Space Separator 105
 
16.3%
Open Punctuation 22
 
3.4%
Close Punctuation 22
 
3.4%
Other Punctuation 15
 
2.3%
Dash Punctuation 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
 
6.4%
북 23
 
6.4%
서 22
 
6.1%
특 22
 
6.1%
별 22
 
6.1%
시 22
 
6.1%
강 22
 
6.1%
구 22
 
6.1%
울 22
 
6.1%
로 22
 
6.1%
Other values (41) 137
38.2%
Decimal Number
ValueCountFrequency (%)
1 39
33.9%
3 16
13.9%
9 12
 
10.4%
4 10
 
8.7%
2 10
 
8.7%
0 8
 
7.0%
6 7
 
6.1%
7 5
 
4.3%
5 5
 
4.3%
8 3
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 13
86.7%
. 2
 
13.3%
Space Separator
ValueCountFrequency (%)
105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
55.8%
Common 284
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
 
6.4%
북 23
 
6.4%
서 22
 
6.1%
특 22
 
6.1%
별 22
 
6.1%
시 22
 
6.1%
강 22
 
6.1%
구 22
 
6.1%
울 22
 
6.1%
로 22
 
6.1%
Other values (41) 137
38.2%
Common
ValueCountFrequency (%)
105
37.0%
1 39
 
13.7%
( 22
 
7.7%
) 22
 
7.7%
3 16
 
5.6%
, 13
 
4.6%
9 12
 
4.2%
4 10
 
3.5%
2 10
 
3.5%
0 8
 
2.8%
Other values (6) 27
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
55.8%
ASCII 284
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
37.0%
1 39
 
13.7%
( 22
 
7.7%
) 22
 
7.7%
3 16
 
5.6%
, 13
 
4.6%
9 12
 
4.2%
4 10
 
3.5%
2 10
 
3.5%
0 8
 
2.8%
Other values (6) 27
 
9.5%
Hangul
ValueCountFrequency (%)
동 23
 
6.4%
북 23
 
6.4%
서 22
 
6.1%
특 22
 
6.1%
별 22
 
6.1%
시 22
 
6.1%
강 22
 
6.1%
구 22
 
6.1%
울 22
 
6.1%
로 22
 
6.1%
Other values (41) 137
38.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean1111.5
Minimum1014
Maximum1227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T15:47:37.285676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1014
5-th percentile1018.55
Q11058.75
median1122.5
Q31144
95-th percentile1218.55
Maximum1227
Range213
Interquartile range (IQR)85.25

Descriptive statistics

Standard deviation68.335991
Coefficient of variation (CV)0.061480874
Kurtosis-0.87290465
Mean1111.5
Median Absolute Deviation (MAD)54
Skewness0.11773343
Sum15561
Variance4669.8077
MonotonicityNot monotonic
2024-05-11T15:47:37.462546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1144 2
 
9.1%
1227 1
 
4.5%
1027 1
 
4.5%
1097 1
 
4.5%
1119 1
 
4.5%
1126 1
 
4.5%
1214 1
 
4.5%
1014 1
 
4.5%
1175 1
 
4.5%
1067 1
 
4.5%
Other values (3) 3
 
13.6%
(Missing) 8
36.4%
ValueCountFrequency (%)
1014 1
4.5%
1021 1
4.5%
1027 1
4.5%
1056 1
4.5%
1067 1
4.5%
1097 1
4.5%
1119 1
4.5%
1126 1
4.5%
1130 1
4.5%
1144 2
9.1%
ValueCountFrequency (%)
1227 1
4.5%
1214 1
4.5%
1175 1
4.5%
1144 2
9.1%
1130 1
4.5%
1126 1
4.5%
1119 1
4.5%
1097 1
4.5%
1067 1
4.5%
1056 1
4.5%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T15:47:37.692877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.9545455
Min length4

Characters and Unicode

Total characters131
Distinct characters64
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

Unique22 ?
Unique (%)100.0%

Sample

1st row참미트(주)
2nd row솔샘유통
3rd row성수미트
4th row미래원육가공
5th row중앙축산유통
ValueCountFrequency (%)
주식회사 3
 
12.0%
참미트(주 1
 
4.0%
동방유통 1
 
4.0%
주)경동닭유통 1
 
4.0%
주)본푸드코아 1
 
4.0%
제일에프앤디 1
 
4.0%
안심푸드 1
 
4.0%
삼부미트 1
 
4.0%
성보4공장 1
 
4.0%
도꼬야 1
 
4.0%
Other values (13) 13
52.0%
2024-05-11T15:47:38.134414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 7
 
5.3%
드 7
 
5.3%
푸 7
 
5.3%
유 6
 
4.6%
통 6
 
4.6%
( 4
 
3.1%
) 4
 
3.1%
미 4
 
3.1%
부 3
 
2.3%
공 3
 
2.3%
Other values (54) 80
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
89.3%
Open Punctuation 4
 
3.1%
Close Punctuation 4
 
3.1%
Space Separator 3
 
2.3%
Uppercase Letter 2
 
1.5%
Decimal Number 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7
 
6.0%
드 7
 
6.0%
푸 7
 
6.0%
유 6
 
5.1%
통 6
 
5.1%
미 4
 
3.4%
부 3
 
2.6%
공 3
 
2.6%
사 3
 
2.6%
아 3
 
2.6%
Other values (48) 68
58.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
P 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
89.3%
Common 12
 
9.2%
Latin 2
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7
 
6.0%
드 7
 
6.0%
푸 7
 
6.0%
유 6
 
5.1%
통 6
 
5.1%
미 4
 
3.4%
부 3
 
2.6%
공 3
 
2.6%
사 3
 
2.6%
아 3
 
2.6%
Other values (48) 68
58.1%
Common
ValueCountFrequency (%)
( 4
33.3%
) 4
33.3%
3
25.0%
4 1
 
8.3%
Latin
ValueCountFrequency (%)
D 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
89.3%
ASCII 14
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 7
 
6.0%
드 7
 
6.0%
푸 7
 
6.0%
유 6
 
5.1%
통 6
 
5.1%
미 4
 
3.4%
부 3
 
2.6%
공 3
 
2.6%
사 3
 
2.6%
아 3
 
2.6%
Other values (48) 68
58.1%
ASCII
ValueCountFrequency (%)
( 4
28.6%
) 4
28.6%
3
21.4%
4 1
 
7.1%
D 1
 
7.1%
P 1
 
7.1%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2009-01-07 11:02:52
Maximum2024-05-09 16:59:04
2024-05-11T15:47:38.321656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:38.490654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
I
12 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 12
54.5%
U 10
45.5%

Length

2024-05-11T15:47:38.626201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:38.767113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 12
54.5%
u 10
45.5%

데이터갱신일자
Date

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T15:47:38.877443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:39.018834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201998.47
Minimum200491.31
Maximum203405.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T15:47:39.169329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200491.31
5-th percentile200627.92
Q1201268.13
median202125.4
Q3202636.95
95-th percentile202990.35
Maximum203405.73
Range2914.4211
Interquartile range (IQR)1368.8204

Descriptive statistics

Standard deviation860.71304
Coefficient of variation (CV)0.004260988
Kurtosis-1.0924903
Mean201998.47
Median Absolute Deviation (MAD)847.73025
Skewness-0.23393955
Sum4443966.2
Variance740826.93
MonotonicityNot monotonic
2024-05-11T15:47:39.334987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
201268.130539319 2
 
9.1%
202973.127176547 2
 
9.1%
202339.441343834 1
 
4.5%
200933.61599743 1
 
4.5%
202570.870213503 1
 
4.5%
202324.435492387 1
 
4.5%
202658.977838079 1
 
4.5%
202266.448738483 1
 
4.5%
200613.752881218 1
 
4.5%
201984.345113059 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
200491.306966193 1
4.5%
200613.752881218 1
4.5%
200897.095518246 1
4.5%
200933.61599743 1
4.5%
201148.87307053 1
4.5%
201268.130539319 2
9.1%
201646.445732442 1
4.5%
201880.114587653 1
4.5%
201902.17153821 1
4.5%
201984.345113059 1
4.5%
ValueCountFrequency (%)
203405.728060301 1
4.5%
202991.135657765 1
4.5%
202975.415452234 1
4.5%
202973.127176547 2
9.1%
202658.977838079 1
4.5%
202570.870213503 1
4.5%
202453.551682827 1
4.5%
202339.441343834 1
4.5%
202324.435492387 1
4.5%
202266.448738483 1
4.5%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458804.64
Minimum456614.81
Maximum460587.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T15:47:39.536427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456614.81
5-th percentile456650.86
Q1457819.85
median458947.17
Q3459853.82
95-th percentile460578.72
Maximum460587.5
Range3972.6906
Interquartile range (IQR)2033.9716

Descriptive statistics

Standard deviation1279.0059
Coefficient of variation (CV)0.0027876917
Kurtosis-1.0209337
Mean458804.64
Median Absolute Deviation (MAD)1065.8442
Skewness-0.23644813
Sum10093702
Variance1635856.1
MonotonicityNot monotonic
2024-05-11T15:47:39.707423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
460587.496392076 2
 
9.1%
458955.176048982 2
 
9.1%
457277.725580686 1
 
4.5%
459773.356216876 1
 
4.5%
459880.637994199 1
 
4.5%
459111.488229241 1
 
4.5%
459257.201296743 1
 
4.5%
457691.802407444 1
 
4.5%
460411.882692428 1
 
4.5%
456614.805805491 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
456614.805805491 1
4.5%
456630.418411957 1
4.5%
457039.326759067 1
4.5%
457277.725580686 1
4.5%
457530.10075109 1
4.5%
457691.802407444 1
4.5%
458203.976557842 1
4.5%
458216.135591417 1
4.5%
458586.415551302 1
4.5%
458902.691020601 1
4.5%
ValueCountFrequency (%)
460587.496392076 2
9.1%
460411.882692428 1
4.5%
460404.255696764 1
4.5%
460145.391984004 1
4.5%
459880.637994199 1
4.5%
459773.356216876 1
4.5%
459257.201296743 1
4.5%
459111.488229241 1
4.5%
458955.176048982 2
9.1%
458939.165556089 1
4.5%

축산업무구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
식육포장처리업
14 
<NA>
8 

Length

Max length7
Median length7
Mean length5.9090909
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 14
63.6%
<NA> 8
36.4%

Length

2024-05-11T15:47:40.226334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:40.414498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 14
63.6%
na 8
36.4%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
식육포장처리업
14 
<NA>
8 

Length

Max length7
Median length7
Mean length5.9090909
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 14
63.6%
<NA> 8
36.4%

Length

2024-05-11T15:47:40.576119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:40.742329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 14
63.6%
na 8
36.4%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
000
9 
<NA>
8 
L00
5 

Length

Max length4
Median length3
Mean length3.3636364
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 9
40.9%
<NA> 8
36.4%
L00 5
22.7%

Length

2024-05-11T15:47:40.904950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:41.064095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 9
40.9%
na 8
36.4%
l00 5
22.7%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0308000030800000042002000120020422<NA>3폐업2폐업20090107<NA><NA><NA>991-4821124.5<NA>서울특별시 강북구 수유동 274-3번지서울특별시 강북구 삼양로130길 9-21 (수유동)<NA>참미트(주)2009-01-07 11:02:52I2018-08-31 23:59:59.0<NA>201268.130539460587.496392식육포장처리업식육포장처리업<NA>L00<NA>
1308000030800000042003000220030516<NA>3폐업2폐업20210218<NA><NA><NA>989-22220.0<NA>서울특별시 강북구 번동 136서울특별시 강북구 한천로109길 83 (번동)1227솔샘유통2021-02-18 17:33:31U2021-02-20 02:40:00.0<NA>203405.72806458203.976558식육포장처리업식육포장처리업<NA>000<NA>
2308000030800000042004000120040617<NA>4취소/말소/만료/정지/중지4말소20161116<NA><NA><NA>993-55550.0<NA>서울특별시 강북구 수유동 566-24번지서울특별시 강북구 인수봉로 306 (수유동)1027성수미트2016-12-02 11:51:29I2018-08-31 23:59:59.0<NA>200897.095518460404.255697식육포장처리업식육포장처리업<NA>000<NA>
3308000030800000042007000120070425<NA>3폐업2폐업20110113<NA><NA><NA>986-7662463.0<NA>서울특별시 강북구 미아동 460-57번지서울특별시 강북구 솔샘로64길 39 (미아동)<NA>미래원육가공2011-01-13 17:29:36I2018-08-31 23:59:59.0<NA>202453.551683457039.326759식육포장처리업식육포장처리업<NA>000<NA>
4308000030800000042007000320070718<NA>3폐업2폐업20090901<NA><NA><NA>900-44710.0<NA>서울특별시 강북구 수유동 274-3번지서울특별시 강북구 삼양로130길 9-21 (수유동)<NA>중앙축산유통2009-09-01 10:07:34I2018-08-31 23:59:59.0<NA>201268.130539460587.496392식육포장처리업식육포장처리업<NA>000<NA>
5308000030800000042009000120090220<NA>3폐업2폐업20100128<NA><NA><NA><NA>165.8<NA>서울특별시 강북구 미아동 49-100번지서울특별시 강북구 오패산로 113-1 (미아동)<NA>중부씨앤피축산2010-01-28 09:11:10I2018-08-31 23:59:59.0<NA>202991.135658456630.418412식육포장처리업식육포장처리업<NA>L00<NA>
6308000030800000042009000320090416<NA>1영업/정상0정상<NA><NA><NA><NA>6404-9827229.0<NA>서울특별시 강북구 수유동 468-106 지층서울특별시 강북구 인수봉로 144 (수유동, 지층)1097예지신성유통2022-05-24 16:59:56U2021-12-04 22:06:00.0<NA>201148.873071458902.691021<NA><NA><NA><NA><NA>
7308000030800001042009000120091221<NA>3폐업2폐업20120322<NA><NA><NA>908-88920.0<NA>서울특별시 강북구 번동 510-5번지서울특별시 강북구 오현로31길 125-2 (번동)<NA>제이푸드2012-03-22 13:17:41I2018-08-31 23:59:59.0<NA>202975.415452458939.165556식육포장처리업식육포장처리업<NA>000<NA>
830800003080000104201000012010-04-30<NA>3폐업2폐업2023-11-15<NA><NA><NA>02-985-52900.0<NA>서울특별시 강북구 번동 510-35 충신빌딩 지층서울특별시 강북구 오현로31길 129 (번동, 충신빌딩 지층)1144푸드코아2023-11-15 12:47:11U2022-10-31 23:07:00.0<NA>202973.127177458955.176049<NA><NA><NA><NA><NA>
9308000030800001042010000220100730<NA>1영업/정상0정상<NA><NA><NA><NA>02-988-63210.0<NA>서울특별시 강북구 미아동 218-26서울특별시 강북구 도봉로67길 49 (미아동)1119(주)서울이푸드2020-07-29 15:23:47U2020-07-31 02:40:00.0<NA>201880.114588458586.415551식육포장처리업식육포장처리업<NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
1230800003080000104201100012011-02-10<NA>1영업/정상0정상<NA><NA><NA><NA>988-06470.0<NA>서울특별시 강북구 미아동 373-36서울특별시 강북구 도봉로19길 35 (미아동)<NA>동방유통2024-01-26 16:54:47U2023-11-30 22:08:00.0<NA>202339.441344457277.725581<NA><NA><NA><NA><NA>
13308000030800001042011000220110701<NA>1영업/정상0정상<NA><NA><NA><NA>02-945-5077318.3<NA>서울특별시 강북구 미아동 226-70서울특별시 강북구 도봉로53길 61 (미아동)1126현대푸드2022-11-16 10:38:10U2021-10-31 23:08:00.0<NA>201902.171538458216.135591<NA><NA><NA><NA><NA>
14308000030800001042012000120120125<NA>3폐업2폐업20210215<NA><NA><NA>02-980-2530264.23<NA>서울특별시 강북구 미아동 1261-348서울특별시 강북구 숭인로 11 (미아동)1214주식회사 도꼬야2021-02-15 14:17:11U2021-02-17 02:40:00.0<NA>201984.345113456614.805805식육포장처리업식육포장처리업<NA>L00<NA>
15308000030800001042012000220120529<NA>3폐업2폐업20130829<NA><NA><NA><NA>0.0<NA>서울특별시 강북구 수유동 563-8번지 B1서울특별시 강북구 4.19로 61-1, 지1층 (수유동)1014성보4공장2015-07-29 09:09:59I2018-08-31 23:59:59.0<NA>200613.752881460411.882692식육포장처리업식육포장처리업<NA>000<NA>
16308000030800001042014000120140513<NA>3폐업2폐업20160708<NA><NA><NA><NA>0.0<NA>서울특별시 강북구 미아동 318-5번지 성북프라자 108호,109호서울특별시 강북구 도봉로33길 18 (미아동, 성북프라자 108호, 109호)1175주식회사 삼부미트2016-07-08 18:15:21I2018-08-31 23:59:59.0<NA>202266.448738457691.802407식육포장처리업식육포장처리업<NA>L00<NA>
17308000030800001042014000220140729<NA>3폐업2폐업20141120<NA><NA><NA>02-995-82440.0<NA>서울특별시 강북구 번동 411번지 두산위브아파트 206동 101호서울특별시 강북구 덕릉로41길 15, 206동 101호 (번동, 두산위브아파트)1067안심푸드2014-11-21 10:00:14I2018-08-31 23:59:59.0<NA>202658.977838459257.201297식육포장처리업식육포장처리업<NA>000<NA>
1830800003080000104201600012016-10-11<NA>1영업/정상0정상<NA><NA><NA><NA>02-977-77290.0<NA>서울특별시 강북구 번동 762-3 지층, 1층 가운데서울특별시 강북구 도봉로76길 74, 지층, 1층 가운데호 (번동)1130주식회사 제일에프앤디2024-05-09 16:59:04U2023-12-04 23:01:00.0<NA>202324.435492459111.488229<NA><NA><NA><NA><NA>
1930800003080000104201800012018-04-19<NA>1영업/정상0정상<NA><NA><NA><NA>02-985-52900.0<NA>서울특별시 강북구 번동 464-17 지1층서울특별시 강북구 한천로132길 57, 지1층 (번동)1056(주)본푸드코아2023-10-27 11:21:02U2022-10-30 22:09:00.0<NA>202570.870214459880.637994<NA><NA><NA><NA><NA>
20308000030800001042022000120100608<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 10:01:01I2021-11-02 00:09:00.0<NA>200933.615997459773.356217<NA><NA><NA><NA><NA>
2130800003080000104202300012023-11-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강북구 번동 510-35 충신빌딩 지1층 전체서울특별시 강북구 오현로31길 129, 충신빌딩 지1층 (번동)1144부자축산유통2023-11-17 13:57:28I2022-10-31 23:09:00.0<NA>202973.127177458955.176049<NA><NA><NA><NA><NA>