Overview

Dataset statistics

Number of variables30
Number of observations22
Missing cells137
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory261.0 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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-18134/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업종료일자 is highly imbalanced (73.3%)Imbalance
축산일련번호 is highly imbalanced (56.1%)Imbalance
총인원 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 10 (45.5%) missing valuesMissing
휴업시작일자 has 20 (90.9%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 9 (40.9%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
도로명주소 has 5 (22.7%) missing valuesMissing
도로명우편번호 has 5 (22.7%) missing valuesMissing
업태구분명 has 22 (100.0%) 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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 17 (77.3%) zerosZeros

Reproduction

Analysis started2024-05-11 08:26:02.390809
Analysis finished2024-05-11 08:26:03.099410
Duration0.71 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
3070000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 22
100.0%

Length

2024-05-11T08:26:03.282087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:03.587618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 22
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0700001 × 1017
Minimum3.07 × 1017
Maximum3.0700001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T08:26:03.961460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.07 × 1017
5-th percentile3.07 × 1017
Q13.07 × 1017
median3.0700001 × 1017
Q33.0700001 × 1017
95-th percentile3.0700001 × 1017
Maximum3.0700001 × 1017
Range1.000021 × 1010
Interquartile range (IQR)1.0000118 × 1010

Descriptive statistics

Standard deviation4.9237178 × 109
Coefficient of variation (CV)1.6038168 × 10-8
Kurtosis-1.8019737
Mean3.0700001 × 1017
Median Absolute Deviation (MAD)80000
Skewness-0.60930285
Sum6.7540001 × 1018
Variance2.4242997 × 1019
MonotonicityStrictly increasing
2024-05-11T08:26:04.452923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
307000000420020001 1
 
4.5%
307000010420140001 1
 
4.5%
307000010420230001 1
 
4.5%
307000010420220001 1
 
4.5%
307000010420210002 1
 
4.5%
307000010420210001 1
 
4.5%
307000010420190001 1
 
4.5%
307000010420180001 1
 
4.5%
307000010420170001 1
 
4.5%
307000010420160002 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
307000000420020001 1
4.5%
307000000420040002 1
4.5%
307000000420050001 1
4.5%
307000000420050007 1
4.5%
307000000420050008 1
4.5%
307000000420060001 1
4.5%
307000000420060005 1
4.5%
307000000420080001 1
4.5%
307000010420120001 1
4.5%
307000010420120002 1
4.5%
ValueCountFrequency (%)
307000010420230001 1
4.5%
307000010420220001 1
4.5%
307000010420210002 1
4.5%
307000010420210001 1
4.5%
307000010420190001 1
4.5%
307000010420180001 1
4.5%
307000010420170001 1
4.5%
307000010420160002 1
4.5%
307000010420160001 1
4.5%
307000010420140001 1
4.5%

인허가일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2004-08-23 00:00:00
Maximum2023-07-05 00:00:00
2024-05-11T08:26:04.779361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:26:05.131589image/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
12 
1
8 
2
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 12
54.5%
1 8
36.4%
2 2
 
9.1%

Length

2024-05-11T08:26:05.526100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:05.863092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
54.5%
1 8
36.4%
2 2
 
9.1%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
12 
영업/정상
8 
휴업
2 

Length

Max length5
Median length2
Mean length3.0909091
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row폐업
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 12
54.5%
영업/정상 8
36.4%
휴업 2
 
9.1%

Length

2024-05-11T08:26:06.246724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:06.611212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
54.5%
영업/정상 8
36.4%
휴업 2
 
9.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
2
12 
0
8 
1
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 12
54.5%
0 8
36.4%
1 2
 
9.1%

Length

2024-05-11T08:26:06.973734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:07.298850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 12
54.5%
0 8
36.4%
1 2
 
9.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
12 
정상
8 
휴업
2 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 12
54.5%
정상 8
36.4%
휴업 2
 
9.1%

Length

2024-05-11T08:26:07.735370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:08.035893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
54.5%
정상 8
36.4%
휴업 2
 
9.1%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing10
Missing (%)45.5%
Memory size308.0 B
Minimum2007-04-24 00:00:00
Maximum2023-06-02 00:00:00
2024-05-11T08:26:08.418732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:26:08.943636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing20
Missing (%)90.9%
Memory size308.0 B
Minimum2019-02-28 00:00:00
Maximum2023-03-10 00:00:00
2024-05-11T08:26:09.488028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:26:10.130431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
20190827
 
1

Length

Max length8
Median length4
Mean length4.1818182
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
20190827 1
 
4.5%

Length

2024-05-11T08:26:10.683868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:11.080069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
20190827 1
 
4.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing9
Missing (%)40.9%
Memory size308.0 B
2024-05-11T08:26:11.569540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.6153846
Min length8

Characters and Unicode

Total characters112
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

Unique13 ?
Unique (%)100.0%

Sample

1st row765-8268
2nd row929-5096
3rd row965-8207
4th row941-5293
5th row3672-3588
ValueCountFrequency (%)
765-8268 1
 
7.7%
929-5096 1
 
7.7%
965-8207 1
 
7.7%
941-5293 1
 
7.7%
3672-3588 1
 
7.7%
02-941-1951 1
 
7.7%
942-1968 1
 
7.7%
909-9092 1
 
7.7%
888-0388 1
 
7.7%
2272-1519 1
 
7.7%
Other values (3) 3
23.1%
2024-05-11T08:26:12.742880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 20
17.9%
- 15
13.4%
0 15
13.4%
8 12
10.7%
2 12
10.7%
1 12
10.7%
5 7
 
6.2%
7 6
 
5.4%
6 6
 
5.4%
3 4
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97
86.6%
Dash Punctuation 15
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 20
20.6%
0 15
15.5%
8 12
12.4%
2 12
12.4%
1 12
12.4%
5 7
 
7.2%
7 6
 
6.2%
6 6
 
6.2%
3 4
 
4.1%
4 3
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 20
17.9%
- 15
13.4%
0 15
13.4%
8 12
10.7%
2 12
10.7%
1 12
10.7%
5 7
 
6.2%
7 6
 
5.4%
6 6
 
5.4%
3 4
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 20
17.9%
- 15
13.4%
0 15
13.4%
8 12
10.7%
2 12
10.7%
1 12
10.7%
5 7
 
6.2%
7 6
 
5.4%
6 6
 
5.4%
3 4
 
3.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.343182
Minimum0
Maximum178.88
Zeros17
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T08:26:13.122236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile96.1135
Maximum178.88
Range178.88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.561239
Coefficient of variation (CV)2.2396319
Kurtosis6.6032747
Mean20.343182
Median Absolute Deviation (MAD)0
Skewness2.5412362
Sum447.55
Variance2075.8265
MonotonicityNot monotonic
2024-05-11T08:26:13.566362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 17
77.3%
79.27 1
 
4.5%
27.0 1
 
4.5%
65.4 1
 
4.5%
178.88 1
 
4.5%
97.0 1
 
4.5%
ValueCountFrequency (%)
0.0 17
77.3%
27.0 1
 
4.5%
65.4 1
 
4.5%
79.27 1
 
4.5%
97.0 1
 
4.5%
178.88 1
 
4.5%
ValueCountFrequency (%)
178.88 1
 
4.5%
97.0 1
 
4.5%
79.27 1
 
4.5%
65.4 1
 
4.5%
27.0 1
 
4.5%
0.0 17
77.3%

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
2024-05-11T08:26:14.264356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length24.727273
Min length17

Characters and Unicode

Total characters544
Distinct characters54
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 성북구 성북동 177-28번지
2nd row서울특별시 성북구 안암동1가 314-2번지
3rd row서울특별시 성북구 석관동 70-10 1층, 지하1층
4th row서울특별시 성북구 종암동 7-68번지
5th row서울특별시 성북구 성북동 177-28번지
ValueCountFrequency (%)
서울특별시 22
21.6%
성북구 22
21.6%
석관동 3
 
2.9%
하월곡동 3
 
2.9%
종암동 3
 
2.9%
정릉동 3
 
2.9%
성북동 2
 
2.0%
177-28번지 2
 
2.0%
상월곡동 2
 
2.0%
27-36 2
 
2.0%
Other values (36) 38
37.3%
2024-05-11T08:26:15.239872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
16.9%
1 34
 
6.2%
동 25
 
4.6%
성 24
 
4.4%
북 24
 
4.4%
서 22
 
4.0%
구 22
 
4.0%
울 22
 
4.0%
- 22
 
4.0%
시 22
 
4.0%
Other values (44) 235
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
55.7%
Decimal Number 122
22.4%
Space Separator 92
 
16.9%
Dash Punctuation 22
 
4.0%
Other Punctuation 3
 
0.6%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
 
8.3%
성 24
 
7.9%
북 24
 
7.9%
서 22
 
7.3%
구 22
 
7.3%
울 22
 
7.3%
시 22
 
7.3%
별 22
 
7.3%
특 22
 
7.3%
지 11
 
3.6%
Other values (29) 87
28.7%
Decimal Number
ValueCountFrequency (%)
1 34
27.9%
2 17
13.9%
3 17
13.9%
0 12
 
9.8%
6 11
 
9.0%
7 10
 
8.2%
8 7
 
5.7%
5 6
 
4.9%
4 5
 
4.1%
9 3
 
2.5%
Space Separator
ValueCountFrequency (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
55.7%
Common 241
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
 
8.3%
성 24
 
7.9%
북 24
 
7.9%
서 22
 
7.3%
구 22
 
7.3%
울 22
 
7.3%
시 22
 
7.3%
별 22
 
7.3%
특 22
 
7.3%
지 11
 
3.6%
Other values (29) 87
28.7%
Common
ValueCountFrequency (%)
92
38.2%
1 34
 
14.1%
- 22
 
9.1%
2 17
 
7.1%
3 17
 
7.1%
0 12
 
5.0%
6 11
 
4.6%
7 10
 
4.1%
8 7
 
2.9%
5 6
 
2.5%
Other values (5) 13
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
55.7%
ASCII 241
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
38.2%
1 34
 
14.1%
- 22
 
9.1%
2 17
 
7.1%
3 17
 
7.1%
0 12
 
5.0%
6 11
 
4.6%
7 10
 
4.1%
8 7
 
2.9%
5 6
 
2.5%
Other values (5) 13
 
5.4%
Hangul
ValueCountFrequency (%)
동 25
 
8.3%
성 24
 
7.9%
북 24
 
7.9%
서 22
 
7.3%
구 22
 
7.3%
울 22
 
7.3%
시 22
 
7.3%
별 22
 
7.3%
특 22
 
7.3%
지 11
 
3.6%
Other values (29) 87
28.7%

도로명주소
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing5
Missing (%)22.7%
Memory size308.0 B
2024-05-11T08:26:15.832233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length30
Mean length29.823529
Min length22

Characters and Unicode

Total characters507
Distinct characters68
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row서울특별시 성북구 돌곶이로14길 78, 1층, 지하1층 (석관동)
2nd row서울특별시 성북구 성북로 34 (성북동)
3rd row서울특별시 성북구 월곡로10길 60(종암동)
4th row서울특별시 성북구 종암로 56 (종암동, (10-220)고려상가 아동 109호)
5th row서울특별시 성북구 정릉로 155 (정릉동)
ValueCountFrequency (%)
서울특별시 17
 
17.3%
성북구 17
 
17.3%
정릉로 3
 
3.1%
하월곡동 3
 
3.1%
정릉동 3
 
3.1%
40 3
 
3.1%
석관동 2
 
2.0%
상월곡동 2
 
2.0%
화랑로19길 2
 
2.0%
1층 2
 
2.0%
Other values (44) 44
44.9%
2024-05-11T08:26:17.274982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
16.0%
1 22
 
4.3%
동 19
 
3.7%
성 19
 
3.7%
북 19
 
3.7%
( 18
 
3.6%
) 18
 
3.6%
울 17
 
3.4%
로 17
 
3.4%
서 17
 
3.4%
Other values (58) 260
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
58.2%
Space Separator 81
 
16.0%
Decimal Number 77
 
15.2%
Open Punctuation 18
 
3.6%
Close Punctuation 18
 
3.6%
Other Punctuation 13
 
2.6%
Dash Punctuation 3
 
0.6%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 19
 
6.4%
성 19
 
6.4%
북 19
 
6.4%
울 17
 
5.8%
로 17
 
5.8%
서 17
 
5.8%
구 17
 
5.8%
시 17
 
5.8%
별 17
 
5.8%
특 17
 
5.8%
Other values (40) 119
40.3%
Decimal Number
ValueCountFrequency (%)
1 22
28.6%
0 10
13.0%
9 8
 
10.4%
5 8
 
10.4%
6 7
 
9.1%
7 6
 
7.8%
4 6
 
7.8%
2 4
 
5.2%
3 4
 
5.2%
8 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
/ 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
58.2%
Common 210
41.4%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 19
 
6.4%
성 19
 
6.4%
북 19
 
6.4%
울 17
 
5.8%
로 17
 
5.8%
서 17
 
5.8%
구 17
 
5.8%
시 17
 
5.8%
별 17
 
5.8%
특 17
 
5.8%
Other values (40) 119
40.3%
Common
ValueCountFrequency (%)
81
38.6%
1 22
 
10.5%
( 18
 
8.6%
) 18
 
8.6%
, 12
 
5.7%
0 10
 
4.8%
9 8
 
3.8%
5 8
 
3.8%
6 7
 
3.3%
7 6
 
2.9%
Other values (6) 20
 
9.5%
Latin
ValueCountFrequency (%)
B 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
58.2%
ASCII 212
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
38.2%
1 22
 
10.4%
( 18
 
8.5%
) 18
 
8.5%
, 12
 
5.7%
0 10
 
4.7%
9 8
 
3.8%
5 8
 
3.8%
6 7
 
3.3%
7 6
 
2.8%
Other values (8) 22
 
10.4%
Hangul
ValueCountFrequency (%)
동 19
 
6.4%
성 19
 
6.4%
북 19
 
6.4%
울 17
 
5.8%
로 17
 
5.8%
서 17
 
5.8%
구 17
 
5.8%
시 17
 
5.8%
별 17
 
5.8%
특 17
 
5.8%
Other values (40) 119
40.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)82.4%
Missing5
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean2770.7059
Minimum2708
Maximum2859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T08:26:17.807529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2708
5-th percentile2708
Q12734
median2773
Q32795
95-th percentile2855.8
Maximum2859
Range151
Interquartile range (IQR)61

Descriptive statistics

Standard deviation48.675924
Coefficient of variation (CV)0.017568059
Kurtosis-0.6161514
Mean2770.7059
Median Absolute Deviation (MAD)27
Skewness0.3798434
Sum47102
Variance2369.3456
MonotonicityNot monotonic
2024-05-11T08:26:18.243420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2773 3
13.6%
2708 2
 
9.1%
2785 1
 
4.5%
2835 1
 
4.5%
2795 1
 
4.5%
2800 1
 
4.5%
2714 1
 
4.5%
2752 1
 
4.5%
2709 1
 
4.5%
2781 1
 
4.5%
Other values (4) 4
18.2%
(Missing) 5
22.7%
ValueCountFrequency (%)
2708 2
9.1%
2709 1
 
4.5%
2714 1
 
4.5%
2734 1
 
4.5%
2748 1
 
4.5%
2752 1
 
4.5%
2773 3
13.6%
2781 1
 
4.5%
2785 1
 
4.5%
2795 1
 
4.5%
ValueCountFrequency (%)
2859 1
 
4.5%
2855 1
 
4.5%
2835 1
 
4.5%
2800 1
 
4.5%
2795 1
 
4.5%
2785 1
 
4.5%
2781 1
 
4.5%
2773 3
13.6%
2752 1
 
4.5%
2748 1
 
4.5%

사업장명
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T08:26:18.834642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8.5
Mean length5.9545455
Min length3

Characters and Unicode

Total characters131
Distinct characters59
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row성우한우유통(주)
2nd row오성축산유통
3rd row엠에이치푸드
4th row서진축산
5th row(주)우들
ValueCountFrequency (%)
진해물산 2
 
8.0%
주)세경 2
 
8.0%
신성유통 1
 
4.0%
주식회사 1
 
4.0%
성우한우유통(주 1
 
4.0%
오성축산유통 1
 
4.0%
정다정푸드 1
 
4.0%
갈비명가이상 1
 
4.0%
소한마리정육식당 1
 
4.0%
진흥식품(주 1
 
4.0%
Other values (13) 13
52.0%
2024-05-11T08:26:20.053960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8
 
6.1%
( 7
 
5.3%
) 7
 
5.3%
진 6
 
4.6%
우 5
 
3.8%
한 5
 
3.8%
유 4
 
3.1%
통 4
 
3.1%
산 4
 
3.1%
가 3
 
2.3%
Other values (49) 78
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
87.0%
Open Punctuation 7
 
5.3%
Close Punctuation 7
 
5.3%
Space Separator 3
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8
 
7.0%
진 6
 
5.3%
우 5
 
4.4%
한 5
 
4.4%
유 4
 
3.5%
통 4
 
3.5%
산 4
 
3.5%
가 3
 
2.6%
정 3
 
2.6%
이 3
 
2.6%
Other values (46) 69
60.5%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
87.0%
Common 17
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8
 
7.0%
진 6
 
5.3%
우 5
 
4.4%
한 5
 
4.4%
유 4
 
3.5%
통 4
 
3.5%
산 4
 
3.5%
가 3
 
2.6%
정 3
 
2.6%
이 3
 
2.6%
Other values (46) 69
60.5%
Common
ValueCountFrequency (%)
( 7
41.2%
) 7
41.2%
3
17.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
87.0%
ASCII 17
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8
 
7.0%
진 6
 
5.3%
우 5
 
4.4%
한 5
 
4.4%
유 4
 
3.5%
통 4
 
3.5%
산 4
 
3.5%
가 3
 
2.6%
정 3
 
2.6%
이 3
 
2.6%
Other values (46) 69
60.5%
ASCII
ValueCountFrequency (%)
( 7
41.2%
) 7
41.2%
3
17.6%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2007-04-24 18:22:38
Maximum2023-07-05 13:51:03
2024-05-11T08:26:20.525414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:26:21.020196image/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
U
15 
I
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 15
68.2%
I 7
31.8%

Length

2024-05-11T08:26:21.722039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:22.255336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 15
68.2%
i 7
31.8%

데이터갱신일자
Date

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 00:07:00
2024-05-11T08:26:22.686880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:26:23.165782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

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%
Mean202835.76
Minimum200137.46
Maximum205818.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T08:26:23.654005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200137.46
5-th percentile200231.46
Q1201486.72
median203199.59
Q3204137.56
95-th percentile205569.67
Maximum205818.85
Range5681.3939
Interquartile range (IQR)2650.8403

Descriptive statistics

Standard deviation1807.8795
Coefficient of variation (CV)0.0089130218
Kurtosis-1.0958448
Mean202835.76
Median Absolute Deviation (MAD)1193.9733
Skewness-0.089712896
Sum4462386.7
Variance3268428.4
MonotonicityNot monotonic
2024-05-11T08:26:24.195380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
200280.271942246 2
 
9.1%
204342.019457429 2
 
9.1%
201954.072942323 1
 
4.5%
202419.529054914 1
 
4.5%
202203.849193311 1
 
4.5%
200228.886737108 1
 
4.5%
203493.737145287 1
 
4.5%
205818.852385165 1
 
4.5%
200716.014663731 1
 
4.5%
203851.400321954 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
200137.458489588 1
4.5%
200228.886737108 1
4.5%
200280.271942246 2
9.1%
200716.014663731 1
4.5%
201334.515564881 1
4.5%
201943.324494976 1
4.5%
201954.072942323 1
4.5%
202203.849193311 1
4.5%
202419.529054914 1
4.5%
203150.958403042 1
4.5%
ValueCountFrequency (%)
205818.852385165 1
4.5%
205583.671446823 1
4.5%
205303.557634792 1
4.5%
204342.019457429 2
9.1%
204140.855333333 1
4.5%
204127.666353297 1
4.5%
203851.400321954 1
4.5%
203493.737145287 1
4.5%
203485.501233326 1
4.5%
203248.221005134 1
4.5%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455485.76
Minimum452998.92
Maximum456865.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T08:26:24.885242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452998.92
5-th percentile453431.42
Q1454778.5
median455855.89
Q3456218.62
95-th percentile456642.32
Maximum456865.92
Range3866.9932
Interquartile range (IQR)1440.1105

Descriptive statistics

Standard deviation1105.851
Coefficient of variation (CV)0.0024278497
Kurtosis-0.25243952
Mean455485.76
Median Absolute Deviation (MAD)643.24641
Skewness-0.89879546
Sum10020687
Variance1222906.4
MonotonicityNot monotonic
2024-05-11T08:26:25.541903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
454303.730141757 2
 
9.1%
456218.615137622 2
 
9.1%
452998.923564259 1
 
4.5%
453403.531356157 1
 
4.5%
455728.06161291 1
 
4.5%
456171.98504016 1
 
4.5%
455872.937009617 1
 
4.5%
456530.895690582 1
 
4.5%
456467.370606031 1
 
4.5%
455824.32083394 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
452998.923564259 1
4.5%
453403.531356157 1
4.5%
453961.37505303 1
4.5%
454303.730141757 2
9.1%
454726.378427704 1
4.5%
454934.883130366 1
4.5%
455006.991251982 1
4.5%
455728.06161291 1
4.5%
455824.32083394 1
4.5%
455838.836466885 1
4.5%
ValueCountFrequency (%)
456865.916776218 1
4.5%
456648.188666667 1
4.5%
456530.895690582 1
4.5%
456467.370606031 1
4.5%
456298.338640395 1
4.5%
456218.615137622 2
9.1%
456184.883992824 1
4.5%
456178.261862469 1
4.5%
456171.98504016 1
4.5%
455872.937009617 1
4.5%

축산업무구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
식육포장처리업
12 
<NA>
10 

Length

Max length7
Median length7
Mean length5.6363636
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 12
54.5%
<NA> 10
45.5%

Length

2024-05-11T08:26:26.277268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:26.659101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 12
54.5%
na 10
45.5%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
식육포장처리업
12 
<NA>
10 

Length

Max length7
Median length7
Mean length5.6363636
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 12
54.5%
<NA> 10
45.5%

Length

2024-05-11T08:26:27.144345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:27.623558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 12
54.5%
na 10
45.5%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T08:26:28.239952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:28.639726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

권리주체일련번호
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
10 
000
9 
L00
3 

Length

Max length4
Median length3
Mean length3.4545455
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 10
45.5%
000 9
40.9%
L00 3
 
13.6%

Length

2024-05-11T08:26:29.117065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:29.629247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 10
45.5%
000 9
40.9%
l00 3
 
13.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T08:26:30.232549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:26:30.717049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0307000030700000042002000120060406<NA>3폐업2폐업20070424<NA><NA><NA>765-826879.27<NA>서울특별시 성북구 성북동 177-28번지<NA><NA>성우한우유통(주)2007-04-24 18:22:38I2018-08-31 23:59:59.0<NA>200280.271942454303.730142식육포장처리업식육포장처리업<NA>L00<NA>
1307000030700000042004000220040823<NA>3폐업2폐업20120705<NA><NA><NA>929-50960.0<NA>서울특별시 성북구 안암동1가 314-2번지<NA><NA>오성축산유통2012-07-05 15:33:00I2018-08-31 23:59:59.0<NA>201943.324495453961.375053식육포장처리업식육포장처리업<NA>000<NA>
230700003070000004200500012005-03-15<NA>1영업/정상0정상<NA><NA><NA><NA>965-82070.0<NA>서울특별시 성북구 석관동 70-10 1층, 지하1층서울특별시 성북구 돌곶이로14길 78, 1층, 지하1층 (석관동)2785엠에이치푸드2023-03-07 14:37:40U2022-12-03 00:09:00.0<NA>205583.671447456298.33864<NA><NA><NA><NA><NA>
3307000030700000042005000720051114<NA>3폐업2폐업20100208<NA><NA><NA>941-529327.0<NA>서울특별시 성북구 종암동 7-68번지<NA><NA>서진축산2010-02-08 12:11:34I2018-08-31 23:59:59.0<NA>203248.221005454934.88313식육포장처리업식육포장처리업<NA>000<NA>
4307000030700000042005000820051124<NA>1영업/정상0정상<NA><NA><NA><NA>3672-35880.0<NA>서울특별시 성북구 성북동 177-28번지서울특별시 성북구 성북로 34 (성북동)2835(주)우들2018-12-11 09:01:43U2018-12-13 02:40:00.0<NA>200280.271942454303.730142식육포장처리업식육포장처리업<NA>L00<NA>
5307000030700000042006000120060105<NA>3폐업2폐업20180608<NA><NA><NA><NA>65.4<NA>서울특별시 성북구 장위동 233-480번지<NA><NA>비전푸드2018-06-08 17:34:16I2018-08-31 23:59:59.0<NA>204140.855333456648.188667식육포장처리업식육포장처리업<NA>000<NA>
630700003070000004200600052006-11-24<NA>1영업/정상0정상<NA><NA><NA><NA>02-941-1951178.88<NA>서울특별시 성북구 종암동 3-6서울특별시 성북구 월곡로10길 60(종암동)2795(주)한영디엔씨2023-03-09 16:51:05U2022-12-02 23:01:00.0<NA>203485.501233455006.991252<NA><NA><NA><NA><NA>
7307000030700000042008000120080717<NA>3폐업2폐업20100702<NA><NA><NA><NA>97.0<NA>서울특별시 성북구 석관동 332-119번지<NA><NA>훈남유통2010-07-02 15:07:35I2018-08-31 23:59:59.0<NA>205303.557635455838.836467식육포장처리업식육포장처리업<NA>000<NA>
8307000030700001042012000120121030<NA>3폐업2폐업20200810<NA><NA><NA>942-19680.0<NA>서울특별시 성북구 종암동 10-163 (10-220)고려상가 아동 109호서울특별시 성북구 종암로 56 (종암동, (10-220)고려상가 아동 109호)2800웅진씨케이2020-08-10 15:13:23U2020-08-12 02:40:00.0<NA>203150.958403454726.378428식육포장처리업식육포장처리업<NA>000<NA>
930700003070000104201200022012-11-30<NA>3폐업2폐업2023-02-22<NA><NA><NA>909-90920.0<NA>서울특별시 성북구 정릉동 653-1 동쪽3번째상가서울특별시 성북구 정릉로 155 (정릉동)2708부사리 한우전문 육도가2023-02-22 17:19:36U2022-12-01 22:04:00.0<NA>200137.45849456184.883993<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
1230700003070000104201400012014-09-01<NA>2휴업1휴업<NA>2023-03-10<NA><NA><NA>0.0<NA>서울특별시 성북구 상월곡동 27-36서울특별시 성북구 화랑로19길 40 (상월곡동)2773(주)세경2023-03-10 16:42:41U2022-12-02 23:02:00.0<NA>204342.019457456218.615138<NA><NA><NA><NA><NA>
13307000030700001042016000120160121<NA>3폐업2폐업20190403<NA><NA><NA>2272-15190.0<NA>서울특별시 성북구 하월곡동 10-13번지서울특별시 성북구 화랑로 119-7 (하월곡동)2752진해물산2019-04-03 15:35:11U2019-04-05 02:40:00.0<NA>203851.400322455824.320834식육포장처리업식육포장처리업<NA>000<NA>
14307000030700001042016000220161018<NA>1영업/정상0정상<NA><NA><NA><NA>02-911-71000.0<NA>서울특별시 성북구 정릉동 284-13서울특별시 성북구 보국문로 69 (정릉동, 건양B/D)2709(주)영진엠앤에프2022-06-23 12:04:14U2021-12-05 22:05:00.0<NA>200716.014664456467.370606<NA><NA><NA><NA><NA>
1530700003070000104201700012017-03-21<NA>3폐업2폐업2023-03-10<NA><NA><NA><NA>0.0<NA>서울특별시 성북구 상월곡동 27-36 2층서울특별시 성북구 화랑로19길 40, 2층 (상월곡동)2773(주)세경2023-03-10 16:25:44U2022-12-02 23:02:00.0<NA>204342.019457456218.615138<NA><NA><NA><NA><NA>
16307000030700001042018000120180705<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성북구 석관동 110-2 109호,110호,111호 상가동서울특별시 성북구 한천로76길 73, 상가동 109호,110호,111호 (석관동, 중앙하이츠아파트)2781진흥식품(주)2022-01-25 15:18:22U2022-01-27 02:40:00.0<NA>205818.852385456530.895691식육포장처리업식육포장처리업0L000
17307000030700001042019000120190410<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성북구 하월곡동 53-10서울특별시 성북구 화랑로5길 66 (하월곡동)2748진해물산2022-03-14 10:09:36U2022-03-16 02:40:00.0<NA>203493.737145455872.93701식육포장처리업식육포장처리업00000
1830700003070000104202100012021-03-31<NA>3폐업2폐업2023-02-06<NA><NA><NA>917-90000.0<NA>서울특별시 성북구 정릉동 667-1서울특별시 성북구 정릉로 165 (정릉동)2708소한마리정육식당2023-02-06 15:54:25U2022-12-02 00:08:00.0<NA>200228.886737456171.98504<NA><NA><NA><NA><NA>
1930700003070000104202100022021-04-16<NA>3폐업2폐업2023-06-02<NA><NA><NA>919-80000.0<NA>서울특별시 성북구 하월곡동 221 5층서울특별시 성북구 정릉로 395, 5층 (하월곡동)2734갈비명가이상2023-06-02 16:44:02U2022-12-06 00:04:00.0<NA>202203.849193455728.061613<NA><NA><NA><NA><NA>
2030700003070000104202200012022-09-29<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성북구 안암동5가 134-28서울특별시 성북구 안암로9가길 87-3(안암동5가)2855정다정푸드2023-02-14 09:33:17U2022-12-01 23:06:00.0<NA>202419.529055453403.531356<NA><NA><NA><NA><NA>
2130700003070000104202300012023-07-05<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성북구 보문동7가 112-4 1층서울특별시 성북구 보문로 40, 1층 (보문동7가)2859주식회사 필한우2023-07-05 13:51:03I2022-12-07 00:07:00.0<NA>201954.072942452998.923564<NA><NA><NA><NA><NA>