Overview

Dataset statistics

Number of variables30
Number of observations23
Missing cells120
Missing cells (%)17.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory260.7 B

Variable types

Categorical14
Numeric4
DateTime4
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16650/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (74.2%)Imbalance
소재지면적 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 5 (21.7%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
전화번호 has 20 (87.0%) missing valuesMissing
소재지우편번호 has 23 (100.0%) missing valuesMissing
도로명우편번호 has 1 (4.3%) missing valuesMissing
좌표정보(X) has 1 (4.3%) missing valuesMissing
좌표정보(Y) has 1 (4.3%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2024-05-11 00:32:44.058373
Analysis finished2024-05-11 00:32:44.739740
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
3090000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 23
100.0%

Length

2024-05-11T00:32:44.925535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:32:45.194356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 23
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.09 × 1017
Minimum3.09 × 1017
Maximum3.09 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T00:32:45.606207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.09 × 1017
5-th percentile3.09 × 1017
Q13.09 × 1017
median3.09 × 1017
Q33.09 × 1017
95-th percentile3.09 × 1017
Maximum3.09 × 1017
Range210001
Interquartile range (IQR)49984

Descriptive statistics

Standard deviation47077.961
Coefficient of variation (CV)1.5235586 × 10-13
Kurtosis5.2918533
Mean3.09 × 1017
Median Absolute Deviation (MAD)9984
Skewness-2.033231
Sum7.1070001 × 1018
Variance2.2163344 × 109
MonotonicityStrictly increasing
2024-05-11T00:32:46.379188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
309000003420020001 1
 
4.3%
309000003420110001 1
 
4.3%
309000003420230002 1
 
4.3%
309000003420230001 1
 
4.3%
309000003420210008 1
 
4.3%
309000003420210007 1
 
4.3%
309000003420210006 1
 
4.3%
309000003420210005 1
 
4.3%
309000003420210004 1
 
4.3%
309000003420210003 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
309000003420020001 1
4.3%
309000003420110001 1
4.3%
309000003420140001 1
4.3%
309000003420140002 1
4.3%
309000003420150001 1
4.3%
309000003420150002 1
4.3%
309000003420170001 1
4.3%
309000003420180001 1
4.3%
309000003420180002 1
4.3%
309000003420190001 1
4.3%
ValueCountFrequency (%)
309000003420230002 1
4.3%
309000003420230001 1
4.3%
309000003420210008 1
4.3%
309000003420210007 1
4.3%
309000003420210006 1
4.3%
309000003420210005 1
4.3%
309000003420210004 1
4.3%
309000003420210003 1
4.3%
309000003420210002 1
4.3%
309000003420210001 1
4.3%

인허가일자
Date

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2011-06-28 00:00:00
Maximum2023-03-14 00:00:00
2024-05-11T00:32:46.798301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:32:47.238032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
18 
1
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 18
78.3%
1 5
 
21.7%

Length

2024-05-11T00:32:47.719268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:32:48.031844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 18
78.3%
1 5
 
21.7%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
18 
영업/정상
5 

Length

Max length5
Median length2
Mean length2.6521739
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 18
78.3%
영업/정상 5
 
21.7%

Length

2024-05-11T00:32:48.385003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:32:48.718689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 18
78.3%
영업/정상 5
 
21.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2
18 
0
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 18
78.3%
0 5
 
21.7%

Length

2024-05-11T00:32:49.182594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:32:49.567342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 18
78.3%
0 5
 
21.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
18 
정상
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 18
78.3%
정상 5
 
21.7%

Length

2024-05-11T00:32:49.940443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:32:50.282073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 18
78.3%
정상 5
 
21.7%

폐업일자
Date

MISSING 

Distinct17
Distinct (%)94.4%
Missing5
Missing (%)21.7%
Memory size316.0 B
Minimum2017-07-21 00:00:00
Maximum2023-11-24 00:00:00
2024-05-11T00:32:50.588433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:32:50.989547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
20170202
 
1

Length

Max length8
Median length4
Mean length4.173913
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20170202

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
20170202 1
 
4.3%

Length

2024-05-11T00:32:51.480623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:32:51.826611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
20170202 1
 
4.3%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing20
Missing (%)87.0%
Memory size316.0 B
2024-05-11T00:32:52.184954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.666667
Min length11

Characters and Unicode

Total characters35
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row02-2091-3296
2nd row02-3493-2752
3rd row02-955-1205
ValueCountFrequency (%)
02-2091-3296 1
33.3%
02-3493-2752 1
33.3%
02-955-1205 1
33.3%
2024-05-11T00:32:52.832514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
22.9%
- 6
17.1%
0 5
14.3%
9 4
11.4%
5 4
11.4%
3 3
 
8.6%
1 2
 
5.7%
6 1
 
2.9%
4 1
 
2.9%
7 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
82.9%
Dash Punctuation 6
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
27.6%
0 5
17.2%
9 4
13.8%
5 4
13.8%
3 3
 
10.3%
1 2
 
6.9%
6 1
 
3.4%
4 1
 
3.4%
7 1
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
22.9%
- 6
17.1%
0 5
14.3%
9 4
11.4%
5 4
11.4%
3 3
 
8.6%
1 2
 
5.7%
6 1
 
2.9%
4 1
 
2.9%
7 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
22.9%
- 6
17.1%
0 5
14.3%
9 4
11.4%
5 4
11.4%
3 3
 
8.6%
1 2
 
5.7%
6 1
 
2.9%
4 1
 
2.9%
7 1
 
2.9%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
22 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.1304348
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
95.7%
<NA> 1
 
4.3%

Length

2024-05-11T00:32:53.178315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:32:53.559994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
95.7%
na 1
 
4.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

지번주소
Text

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T00:32:53.967152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length23.391304
Min length14

Characters and Unicode

Total characters538
Distinct characters55
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

Unique17 ?
Unique (%)73.9%

Sample

1st row서울특별시 도봉구 도봉동
2nd row서울특별시 도봉구 도봉동 555 가든아파트 지하상가 8호
3rd row서울특별시 도봉구 방학동 거성학마을아파트상가 203호
4th row서울특별시 도봉구 도봉동 624번지 101호
5th row서울특별시 도봉구 도봉동 87번지 삼환아파트 상가동 4호
ValueCountFrequency (%)
서울특별시 23
21.1%
도봉구 23
21.1%
창동 10
 
9.2%
도봉동 7
 
6.4%
쌍문동 4
 
3.7%
674-112 4
 
3.7%
568-22 2
 
1.8%
방학동 2
 
1.8%
1층 2
 
1.8%
상가동 2
 
1.8%
Other values (29) 30
27.5%
2024-05-11T00:32:55.004443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
17.3%
봉 30
 
5.6%
도 30
 
5.6%
동 25
 
4.6%
구 23
 
4.3%
서 23
 
4.3%
시 23
 
4.3%
별 23
 
4.3%
특 23
 
4.3%
울 23
 
4.3%
Other values (45) 222
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
59.7%
Decimal Number 108
 
20.1%
Space Separator 93
 
17.3%
Dash Punctuation 16
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 30
 
9.3%
도 30
 
9.3%
동 25
 
7.8%
구 23
 
7.2%
서 23
 
7.2%
시 23
 
7.2%
별 23
 
7.2%
특 23
 
7.2%
울 23
 
7.2%
창 10
 
3.1%
Other values (33) 88
27.4%
Decimal Number
ValueCountFrequency (%)
1 21
19.4%
2 17
15.7%
6 15
13.9%
4 13
12.0%
8 10
9.3%
5 9
8.3%
7 8
 
7.4%
3 6
 
5.6%
0 5
 
4.6%
9 4
 
3.7%
Space Separator
ValueCountFrequency (%)
93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
59.7%
Common 217
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 30
 
9.3%
도 30
 
9.3%
동 25
 
7.8%
구 23
 
7.2%
서 23
 
7.2%
시 23
 
7.2%
별 23
 
7.2%
특 23
 
7.2%
울 23
 
7.2%
창 10
 
3.1%
Other values (33) 88
27.4%
Common
ValueCountFrequency (%)
93
42.9%
1 21
 
9.7%
2 17
 
7.8%
- 16
 
7.4%
6 15
 
6.9%
4 13
 
6.0%
8 10
 
4.6%
5 9
 
4.1%
7 8
 
3.7%
3 6
 
2.8%
Other values (2) 9
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
59.7%
ASCII 217
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
42.9%
1 21
 
9.7%
2 17
 
7.8%
- 16
 
7.4%
6 15
 
6.9%
4 13
 
6.0%
8 10
 
4.6%
5 9
 
4.1%
7 8
 
3.7%
3 6
 
2.8%
Other values (2) 9
 
4.1%
Hangul
ValueCountFrequency (%)
봉 30
 
9.3%
도 30
 
9.3%
동 25
 
7.8%
구 23
 
7.2%
서 23
 
7.2%
시 23
 
7.2%
별 23
 
7.2%
특 23
 
7.2%
울 23
 
7.2%
창 10
 
3.1%
Other values (33) 88
27.4%

도로명주소
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T00:32:55.835547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length32.478261
Min length23

Characters and Unicode

Total characters747
Distinct characters70
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

Unique18 ?
Unique (%)78.3%

Sample

1st row서울특별시 도봉구 도봉로 969 (도봉동)
2nd row서울특별시 도봉구 도봉산길 35, 상가동 지하층 8호 (도봉동, 가든아파트)
3rd row서울특별시 도봉구 도당로 118, 203호 (방학동, 거성학마을아파트상가)
4th row서울특별시 도봉구 도봉로152가길 102, 101호 (도봉동)
5th row서울특별시 도봉구 도봉로180길 6-119, 상가동 1층 4호 (도봉동, 삼환아파트)
ValueCountFrequency (%)
서울특별시 23
 
15.5%
도봉구 23
 
15.5%
창동 9
 
6.1%
1층 7
 
4.7%
도봉동 7
 
4.7%
2층 6
 
4.1%
도봉로110길 4
 
2.7%
쌍문동 4
 
2.7%
82 3
 
2.0%
8 3
 
2.0%
Other values (52) 59
39.9%
2024-05-11T00:32:57.038054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
16.7%
도 44
 
5.9%
봉 42
 
5.6%
1 40
 
5.4%
, 27
 
3.6%
동 26
 
3.5%
2 24
 
3.2%
) 23
 
3.1%
( 23
 
3.1%
울 23
 
3.1%
Other values (60) 350
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
55.7%
Decimal Number 130
 
17.4%
Space Separator 125
 
16.7%
Other Punctuation 27
 
3.6%
Close Punctuation 23
 
3.1%
Open Punctuation 23
 
3.1%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 44
 
10.6%
봉 42
 
10.1%
동 26
 
6.2%
울 23
 
5.5%
서 23
 
5.5%
별 23
 
5.5%
특 23
 
5.5%
구 23
 
5.5%
시 23
 
5.5%
로 22
 
5.3%
Other values (45) 144
34.6%
Decimal Number
ValueCountFrequency (%)
1 40
30.8%
2 24
18.5%
0 13
 
10.0%
8 12
 
9.2%
5 9
 
6.9%
6 8
 
6.2%
3 8
 
6.2%
9 7
 
5.4%
4 6
 
4.6%
7 3
 
2.3%
Space Separator
ValueCountFrequency (%)
125
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
55.7%
Common 331
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 44
 
10.6%
봉 42
 
10.1%
동 26
 
6.2%
울 23
 
5.5%
서 23
 
5.5%
별 23
 
5.5%
특 23
 
5.5%
구 23
 
5.5%
시 23
 
5.5%
로 22
 
5.3%
Other values (45) 144
34.6%
Common
ValueCountFrequency (%)
125
37.8%
1 40
 
12.1%
, 27
 
8.2%
2 24
 
7.3%
) 23
 
6.9%
( 23
 
6.9%
0 13
 
3.9%
8 12
 
3.6%
5 9
 
2.7%
6 8
 
2.4%
Other values (5) 27
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
55.7%
ASCII 331
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
37.8%
1 40
 
12.1%
, 27
 
8.2%
2 24
 
7.3%
) 23
 
6.9%
( 23
 
6.9%
0 13
 
3.9%
8 12
 
3.6%
5 9
 
2.7%
6 8
 
2.4%
Other values (5) 27
 
8.2%
Hangul
ValueCountFrequency (%)
도 44
 
10.6%
봉 42
 
10.1%
동 26
 
6.2%
울 23
 
5.5%
서 23
 
5.5%
별 23
 
5.5%
특 23
 
5.5%
구 23
 
5.5%
시 23
 
5.5%
로 22
 
5.3%
Other values (45) 144
34.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)77.3%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean1406.6364
Minimum1302
Maximum1486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T00:32:57.405018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1302
5-th percentile1320.05
Q11330
median1449
Q31457
95-th percentile1474
Maximum1486
Range184
Interquartile range (IQR)127

Descriptive statistics

Standard deviation66.992214
Coefficient of variation (CV)0.047625823
Kurtosis-1.7499755
Mean1406.6364
Median Absolute Deviation (MAD)31
Skewness-0.37074916
Sum30946
Variance4487.9567
MonotonicityNot monotonic
2024-05-11T00:32:57.770986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1457 4
17.4%
1327 2
 
8.7%
1474 2
 
8.7%
1302 1
 
4.3%
1394 1
 
4.3%
1321 1
 
4.3%
1470 1
 
4.3%
1486 1
 
4.3%
1451 1
 
4.3%
1456 1
 
4.3%
Other values (7) 7
30.4%
ValueCountFrequency (%)
1302 1
4.3%
1320 1
4.3%
1321 1
4.3%
1322 1
4.3%
1327 2
8.7%
1339 1
4.3%
1347 1
4.3%
1388 1
4.3%
1394 1
4.3%
1447 1
4.3%
ValueCountFrequency (%)
1486 1
 
4.3%
1474 2
8.7%
1473 1
 
4.3%
1470 1
 
4.3%
1457 4
17.4%
1456 1
 
4.3%
1451 1
 
4.3%
1447 1
 
4.3%
1394 1
 
4.3%
1388 1
 
4.3%

사업장명
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T00:32:58.392661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length14
Mean length10.043478
Min length3

Characters and Unicode

Total characters231
Distinct characters96
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

Unique18 ?
Unique (%)78.3%

Sample

1st row도봉 음식물중간처리장
2nd row펫스타일(Petstyle)
3rd row허브독
4th row하이펫
5th row멍이보감_냥이보감
ValueCountFrequency (%)
펫스날리티(petsonality 3
 
8.8%
국개대표 2
 
5.9%
주식회사 2
 
5.9%
handmade 1
 
2.9%
음식물중간처리장 1
 
2.9%
도봉 1
 
2.9%
펫스타일(petstyle 1
 
2.9%
간식점 1
 
2.9%
온새네 1
 
2.9%
몽스낵 1
 
2.9%
Other values (20) 20
58.8%
2024-05-11T00:32:59.715554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
4.8%
e 10
 
4.3%
t 9
 
3.9%
( 7
 
3.0%
스 7
 
3.0%
) 7
 
3.0%
펫 6
 
2.6%
y 6
 
2.6%
리 6
 
2.6%
이 6
 
2.6%
Other values (86) 156
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
50.6%
Lowercase Letter 61
26.4%
Uppercase Letter 23
 
10.0%
Space Separator 11
 
4.8%
Open Punctuation 7
 
3.0%
Close Punctuation 7
 
3.0%
Other Punctuation 4
 
1.7%
Connector Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 7
 
6.0%
펫 6
 
5.1%
리 6
 
5.1%
이 6
 
5.1%
식 5
 
4.3%
주 4
 
3.4%
티 4
 
3.4%
개 4
 
3.4%
표 3
 
2.6%
루 3
 
2.6%
Other values (51) 69
59.0%
Lowercase Letter
ValueCountFrequency (%)
e 10
16.4%
t 9
14.8%
y 6
9.8%
l 6
9.8%
s 5
8.2%
i 5
8.2%
a 4
 
6.6%
p 3
 
4.9%
n 3
 
4.9%
o 3
 
4.9%
Other values (5) 7
11.5%
Uppercase Letter
ValueCountFrequency (%)
P 4
17.4%
D 3
13.0%
L 2
8.7%
G 2
8.7%
U 2
8.7%
A 2
8.7%
H 2
8.7%
M 2
8.7%
B 1
 
4.3%
O 1
 
4.3%
Other values (2) 2
8.7%
Other Punctuation
ValueCountFrequency (%)
. 1
25.0%
' 1
25.0%
& 1
25.0%
; 1
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
50.6%
Latin 84
36.4%
Common 30
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 7
 
6.0%
펫 6
 
5.1%
리 6
 
5.1%
이 6
 
5.1%
식 5
 
4.3%
주 4
 
3.4%
티 4
 
3.4%
개 4
 
3.4%
표 3
 
2.6%
루 3
 
2.6%
Other values (51) 69
59.0%
Latin
ValueCountFrequency (%)
e 10
 
11.9%
t 9
 
10.7%
y 6
 
7.1%
l 6
 
7.1%
s 5
 
6.0%
i 5
 
6.0%
a 4
 
4.8%
P 4
 
4.8%
p 3
 
3.6%
D 3
 
3.6%
Other values (17) 29
34.5%
Common
ValueCountFrequency (%)
11
36.7%
( 7
23.3%
) 7
23.3%
. 1
 
3.3%
_ 1
 
3.3%
' 1
 
3.3%
& 1
 
3.3%
; 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
50.6%
ASCII 114
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
 
9.6%
e 10
 
8.8%
t 9
 
7.9%
( 7
 
6.1%
) 7
 
6.1%
y 6
 
5.3%
l 6
 
5.3%
s 5
 
4.4%
i 5
 
4.4%
a 4
 
3.5%
Other values (25) 44
38.6%
Hangul
ValueCountFrequency (%)
스 7
 
6.0%
펫 6
 
5.1%
리 6
 
5.1%
이 6
 
5.1%
식 5
 
4.3%
주 4
 
3.4%
티 4
 
3.4%
개 4
 
3.4%
표 3
 
2.6%
루 3
 
2.6%
Other values (51) 69
59.0%

최종수정일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2017-07-21 15:37:25
Maximum2024-01-24 15:35:38
2024-05-11T00:33:00.280361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:33:00.788982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
U
17 
I
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 17
73.9%
I 6
 
26.1%

Length

2024-05-11T00:33:01.256366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:33:01.566545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 17
73.9%
i 6
 
26.1%

데이터갱신일자
Date

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 22:06:00
2024-05-11T00:33:01.847924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:33:02.351513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
단미
20 
배합
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단미 20
87.0%
배합 3
 
13.0%

Length

2024-05-11T00:33:02.925355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:33:03.336986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 20
87.0%
배합 3
 
13.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean203383.36
Minimum202252.03
Maximum204239.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T00:33:03.702399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202252.03
5-th percentile202498.54
Q1203282.09
median203371.45
Q3203581.62
95-th percentile204004.33
Maximum204239.63
Range1987.5939
Interquartile range (IQR)299.53295

Descriptive statistics

Standard deviation476.6606
Coefficient of variation (CV)0.0023436558
Kurtosis0.68188064
Mean203383.36
Median Absolute Deviation (MAD)189.0955
Skewness-0.49518022
Sum4474434
Variance227205.33
MonotonicityNot monotonic
2024-05-11T00:33:04.218391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
203293.46587421 4
17.4%
203518.403974345 2
 
8.7%
203602.695971137 1
 
4.3%
203975.099463694 1
 
4.3%
204005.865353301 1
 
4.3%
203360.905367774 1
 
4.3%
203424.888389241 1
 
4.3%
202252.032864913 1
 
4.3%
203089.442773514 1
 
4.3%
203278.298075194 1
 
4.3%
Other values (8) 8
34.8%
ValueCountFrequency (%)
202252.032864913 1
 
4.3%
202480.863291217 1
 
4.3%
202834.471831245 1
 
4.3%
203039.065278527 1
 
4.3%
203089.442773514 1
 
4.3%
203278.298075194 1
 
4.3%
203293.46587421 4
17.4%
203360.905367774 1
 
4.3%
203382.003580365 1
 
4.3%
203424.888389241 1
 
4.3%
ValueCountFrequency (%)
204239.626781138 1
4.3%
204005.865353301 1
4.3%
203975.099463694 1
4.3%
203934.39741221 1
4.3%
203897.345550149 1
4.3%
203602.695971137 1
4.3%
203518.403974345 2
8.7%
203426.335451213 1
4.3%
203424.888389241 1
4.3%
203382.003580365 1
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean461634.06
Minimum459471.46
Maximum464905.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T00:33:04.773333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459471.46
5-th percentile459775.8
Q1460432.88
median460598.46
Q3463234.98
95-th percentile464291.61
Maximum464905.03
Range5433.5704
Interquartile range (IQR)2802.1002

Descriptive statistics

Standard deviation1744.4453
Coefficient of variation (CV)0.0037788487
Kurtosis-1.2316018
Mean461634.06
Median Absolute Deviation (MAD)976.03575
Skewness0.55206764
Sum10155949
Variance3043089.3
MonotonicityNot monotonic
2024-05-11T00:33:05.254358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
460432.88291576 4
17.4%
459821.84648093 2
 
8.7%
464905.033086911 1
 
4.3%
463379.249634595 1
 
4.3%
464215.186872943 1
 
4.3%
459773.380975601 1
 
4.3%
460457.375164044 1
 
4.3%
460463.581877843 1
 
4.3%
461770.488758803 1
 
4.3%
460698.606968042 1
 
4.3%
Other values (8) 8
34.8%
ValueCountFrequency (%)
459471.462719815 1
 
4.3%
459773.380975601 1
 
4.3%
459821.84648093 2
8.7%
460432.88291576 4
17.4%
460457.375164044 1
 
4.3%
460463.581877843 1
 
4.3%
460498.308225358 1
 
4.3%
460698.606968042 1
 
4.3%
461770.488758803 1
 
4.3%
461781.424512879 1
 
4.3%
ValueCountFrequency (%)
464905.033086911 1
4.3%
464295.628375287 1
4.3%
464215.186872943 1
4.3%
463861.774994761 1
4.3%
463517.966210349 1
4.3%
463379.249634595 1
4.3%
462802.183525561 1
4.3%
462682.39099891 1
4.3%
461781.424512879 1
4.3%
461770.488758803 1
4.3%

축산업무구분명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
사료제조업
12 
<NA>
11 

Length

Max length5
Median length5
Mean length4.5217391
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 12
52.2%
<NA> 11
47.8%

Length

2024-05-11T00:33:05.615201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:33:06.042502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 12
52.2%
na 11
47.8%

축산물가공업구분명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
11 
단미
10 
배합
2 

Length

Max length4
Median length2
Mean length2.9565217
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
47.8%
단미 10
43.5%
배합 2
 
8.7%

Length

2024-05-11T00:33:06.461186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:33:06.950804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
47.8%
단미 10
43.5%
배합 2
 
8.7%

축산일련번호
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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
87.0%
0 3
 
13.0%

Length

2024-05-11T00:33:07.399044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:33:07.866464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

권리주체일련번호
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
11 
000
11 
O00
 
1

Length

Max length4
Median length3
Mean length3.4782609
Min length3

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st rowO00
2nd row<NA>
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
<NA> 11
47.8%
000 11
47.8%
O00 1
 
4.3%

Length

2024-05-11T00:33:08.341959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:33:08.783098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
47.8%
000 11
47.8%
o00 1
 
4.3%

총인원
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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
87.0%
0 3
 
13.0%

Length

2024-05-11T00:33:09.201259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:33:09.750777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0309000030900000342002000120120501<NA>1영업/정상0정상<NA><NA><NA><NA>02-2091-32960<NA>서울특별시 도봉구 도봉동서울특별시 도봉구 도봉로 969 (도봉동)<NA>도봉 음식물중간처리장2017-11-24 13:20:12I2018-08-31 23:59:59.0단미<NA><NA>사료제조업단미<NA>O00<NA>
1309000030900000342011000120110628<NA>3폐업2폐업20220615<NA><NA><NA>02-3493-27520<NA>서울특별시 도봉구 도봉동 555 가든아파트 지하상가 8호서울특별시 도봉구 도봉산길 35, 상가동 지하층 8호 (도봉동, 가든아파트)1302펫스타일(Petstyle)2022-06-16 16:47:28U2021-12-05 23:08:00.0단미203602.695971464905.033087<NA><NA><NA><NA><NA>
2309000030900000342014000120140825<NA>3폐업2폐업20190322<NA><NA><NA>02-955-12050<NA>서울특별시 도봉구 방학동 거성학마을아파트상가 203호서울특별시 도봉구 도당로 118, 203호 (방학동, 거성학마을아파트상가)1339허브독2019-03-22 10:17:39U2019-03-24 02:40:00.0단미203426.335451462682.390999사료제조업단미<NA>000<NA>
3309000030900000342014000220141023<NA>3폐업2폐업20171128<NA><NA><NA><NA>0<NA>서울특별시 도봉구 도봉동 624번지 101호서울특별시 도봉구 도봉로152가길 102, 101호 (도봉동)1327하이펫2017-11-28 09:18:09I2018-08-31 23:59:59.0단미203897.34555463517.96621사료제조업단미<NA>000<NA>
4309000030900000342015000120150204<NA>3폐업2폐업2017120120170202<NA><NA><NA>0<NA>서울특별시 도봉구 도봉동 87번지 삼환아파트 상가동 4호서울특별시 도봉구 도봉로180길 6-119, 상가동 1층 4호 (도봉동, 삼환아파트)1320멍이보감_냥이보감2017-12-01 15:10:05I2018-08-31 23:59:59.0단미204239.626781464295.628375사료제조업단미<NA>000<NA>
5309000030900000342015000220151106<NA>3폐업2폐업20170721<NA><NA><NA><NA>0<NA>서울특별시 도봉구 방학동 628-1번지 1층 좌측호서울특별시 도봉구 도당로15길 54, 1층 좌측호 (방학동)1347where's willy2017-07-21 15:37:25I2018-08-31 23:59:59.0단미203039.065279462802.183526사료제조업단미<NA>000<NA>
6309000030900000342017000120170828<NA>3폐업2폐업20190212<NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 560-44번지 1층서울특별시 도봉구 덕릉로60다길 34, 1층 (창동)1473My pet recipe2019-02-12 09:25:05U2019-02-14 02:40:00.0단미203382.00358459471.46272사료제조업단미<NA>000<NA>
7309000030900000342018000120180704<NA>3폐업2폐업20190408<NA><NA><NA><NA>0<NA>서울특별시 도봉구 쌍문동 96-39번지 스마트타운 101호서울특별시 도봉구 도봉로109길 8, 101호 (쌍문동, 스마트타운)1447숨이든2019-04-08 11:38:14U2019-04-10 02:40:00.0단미202834.471831460498.308225사료제조업단미<NA>000<NA>
8309000030900000342018000220180816<NA>3폐업2폐업20191231<NA><NA><NA><NA>0<NA>서울특별시 도봉구 쌍문동 53번지 성원아파트 상가동 1호서울특별시 도봉구 해등로 242-11, 상가동 1호 (쌍문동, 성원아파트)1388평생함개2019-12-31 18:04:32U2020-01-02 02:40:00.0단미202480.863291461781.424513사료제조업단미<NA>000<NA>
9309000030900000342019000120190520<NA>3폐업2폐업20221213<NA><NA><NA><NA>0<NA>서울특별시 도봉구 도봉동 92-62서울특별시 도봉구 도봉로152가길 172 (도봉동)1322허그루독 핸드메이드(HUGLU DOG HANDMADE)2022-12-14 08:58:50U2021-11-01 23:06:00.0단미203934.397412463861.774995<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
1330900003090000034202100012021-04-13<NA>3폐업2폐업2023-03-06<NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 568-22서울특별시 도봉구 덕릉로62길 8, 2층 (창동)1474(주)국개대표2023-03-13 09:24:28U2022-12-02 23:06:00.0단미203518.403974459821.846481<NA><NA><NA><NA><NA>
14309000030900000342021000220210429<NA>3폐업2폐업20210504<NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 674-112서울특별시 도봉구 도봉로110길 82, 2층 (창동)1457펫스널리티2021-05-06 16:35:33U2021-05-08 02:40:00.0단미203293.465874460432.882916사료제조업단미<NA>000<NA>
15309000030900000342021000320210514<NA>3폐업2폐업20211102<NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 674-112서울특별시 도봉구 도봉로110길 82, 2층 (창동)1457펫스날리티(Petsonality)2021-11-03 18:25:50U2021-11-05 02:40:00.0단미203293.465874460432.882916사료제조업단미00000
1630900003090000034202100042021-05-17<NA>3폐업2폐업2023-03-06<NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 568-22서울특별시 도봉구 덕릉로62길 8, 2층 (창동)1474주식회사 국개대표2023-03-13 09:16:12U2022-12-02 23:06:00.0배합203518.403974459821.846481<NA><NA><NA><NA><NA>
17309000030900000342021000520210913<NA>3폐업2폐업20220622<NA><NA><NA><NA>0<NA>서울특별시 도봉구 쌍문동 381-23서울특별시 도봉구 우이천로 333, 1층층 (쌍문동)1451몽스낵2022-06-22 16:00:29U2021-12-05 22:04:00.0단미202252.032865460463.581878<NA><NA><NA><NA><NA>
1830900003090000034202100062021-11-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 674-88서울특별시 도봉구 해등로3길 85, 1층 (창동)1486온새네 간식점2024-01-24 15:35:38U2023-11-30 22:06:00.0단미203424.888389460457.375164<NA><NA><NA><NA><NA>
19309000030900000342021000720211127<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 674-112서울특별시 도봉구 도봉로110길 82(창동)1457펫스날리티(Petsonality)2021-12-31 14:35:33U2022-01-02 02:40:00.0배합203293.465874460432.882916사료제조업배합00000
20309000030900000342021000820211127<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 674-112서울특별시 도봉구 도봉로110길 82, 2층 (창동)1457펫스날리티(Petsonality)2021-11-27 19:31:49I2021-11-30 00:22:44.0배합203293.465874460432.882916사료제조업배합00000
2130900003090000034202300012023-03-11<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 581-1서울특별시 도봉구 덕릉로59길 9, 2층 (창동)1470주식회사 국개대표2023-03-11 17:40:57I2022-12-02 23:03:00.0단미203360.905368459773.380976<NA><NA><NA><NA><NA>
2230900003090000034202300022023-03-14<NA>3폐업2폐업2023-08-01<NA><NA><NA><NA>0<NA>서울특별시 도봉구 도봉동 89-151서울특별시 도봉구 도봉로170길 12, 1층 (도봉동)1321루루네2023-08-01 14:41:15U2022-12-08 00:03:00.0단미204005.865353464215.186873<NA><NA><NA><NA><NA>