Overview

Dataset statistics

Number of variables30
Number of observations89
Missing cells462
Missing cells (%)17.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.4 KiB
Average record size in memory257.5 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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18133/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (91.1%)Imbalance
재개업일자 is highly imbalanced (88.8%)Imbalance
소재지면적 is highly imbalanced (84.7%)Imbalance
축산일련번호 is highly imbalanced (64.4%)Imbalance
총인원 is highly imbalanced (64.4%)Imbalance
인허가취소일자 has 89 (100.0%) missing valuesMissing
폐업일자 has 26 (29.2%) missing valuesMissing
휴업종료일자 has 89 (100.0%) missing valuesMissing
전화번호 has 30 (33.7%) missing valuesMissing
소재지우편번호 has 89 (100.0%) missing valuesMissing
도로명주소 has 4 (4.5%) missing valuesMissing
도로명우편번호 has 40 (44.9%) missing valuesMissing
업태구분명 has 89 (100.0%) missing valuesMissing
좌표정보(X) has 3 (3.4%) missing valuesMissing
좌표정보(Y) has 3 (3.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:29:23.348977
Analysis finished2024-05-11 08:29:23.754134
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
3060000
89 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 89
100.0%

Length

2024-05-11T17:29:23.804138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:23.877741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 89
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0600001 × 1017
Minimum3.06 × 1017
Maximum3.0600001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T17:29:23.968742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.06 × 1017
5-th percentile3.06 × 1017
Q13.06 × 1017
median3.0600001 × 1017
Q33.0600001 × 1017
95-th percentile3.0600001 × 1017
Maximum3.0600001 × 1017
Range1.000024 × 1010
Interquartile range (IQR)1.000008 × 1010

Descriptive statistics

Standard deviation4.9357892 × 109
Coefficient of variation (CV)1.613003 × 10-8
Kurtosis-1.8861772
Mean3.0600001 × 1017
Median Absolute Deviation (MAD)99968
Skewness-0.39589206
Sum8.7872565 × 1018
Variance2.4362015 × 1019
MonotonicityStrictly increasing
2024-05-11T17:29:24.087473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
306000000420000003 1
 
1.1%
306000010420150004 1
 
1.1%
306000010420150002 1
 
1.1%
306000010420150001 1
 
1.1%
306000010420140003 1
 
1.1%
306000010420140002 1
 
1.1%
306000010420140001 1
 
1.1%
306000010420130005 1
 
1.1%
306000010420130004 1
 
1.1%
306000010420130003 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
306000000420000003 1
1.1%
306000000420010003 1
1.1%
306000000420030003 1
1.1%
306000000420040001 1
1.1%
306000000420050001 1
1.1%
306000000420050002 1
1.1%
306000000420050003 1
1.1%
306000000420050004 1
1.1%
306000000420050005 1
1.1%
306000000420050006 1
1.1%
ValueCountFrequency (%)
306000010420240001 1
1.1%
306000010420230002 1
1.1%
306000010420230001 1
1.1%
306000010420220002 1
1.1%
306000010420220001 1
1.1%
306000010420210003 1
1.1%
306000010420210002 1
1.1%
306000010420210001 1
1.1%
306000010420200003 1
1.1%
306000010420200002 1
1.1%

인허가일자
Date

Distinct82
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2001-10-09 00:00:00
Maximum2024-02-21 00:00:00
2024-05-11T17:29:24.209803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:29:24.336731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
3
62 
1
25 
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 62
69.7%
1 25
28.1%
4 1
 
1.1%
2 1
 
1.1%

Length

2024-05-11T17:29:24.466882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:24.570031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 62
69.7%
1 25
28.1%
4 1
 
1.1%
2 1
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
폐업
62 
영업/정상
25 
취소/말소/만료/정지/중지
 
1
휴업
 
1

Length

Max length14
Median length2
Mean length2.9775281
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
69.7%
영업/정상 25
28.1%
취소/말소/만료/정지/중지 1
 
1.1%
휴업 1
 
1.1%

Length

2024-05-11T17:29:24.665671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:24.755440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
69.7%
영업/정상 25
28.1%
취소/말소/만료/정지/중지 1
 
1.1%
휴업 1
 
1.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
2
62 
0
25 
4
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
2 62
69.7%
0 25
28.1%
4 1
 
1.1%
1 1
 
1.1%

Length

2024-05-11T17:29:24.852140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:24.935398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 62
69.7%
0 25
28.1%
4 1
 
1.1%
1 1
 
1.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
폐업
62 
정상
25 
말소
 
1
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
69.7%
정상 25
28.1%
말소 1
 
1.1%
휴업 1
 
1.1%

Length

2024-05-11T17:29:25.035434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:25.129541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
69.7%
정상 25
28.1%
말소 1
 
1.1%
휴업 1
 
1.1%

폐업일자
Date

MISSING 

Distinct63
Distinct (%)100.0%
Missing26
Missing (%)29.2%
Memory size844.0 B
Minimum2005-01-26 00:00:00
Maximum2023-06-30 00:00:00
2024-05-11T17:29:25.240371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:29:25.376440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
88 
20160307
 
1

Length

Max length8
Median length4
Mean length4.0449438
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
98.9%
20160307 1
 
1.1%

Length

2024-05-11T17:29:25.509772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:25.609924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
98.9%
20160307 1
 
1.1%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
87 
20171012
 
1
20180611
 
1

Length

Max length8
Median length4
Mean length4.0898876
Min length4

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
97.8%
20171012 1
 
1.1%
20180611 1
 
1.1%

Length

2024-05-11T17:29:25.722368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:25.824908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
97.8%
20171012 1
 
1.1%
20180611 1
 
1.1%

전화번호
Text

MISSING 

Distinct57
Distinct (%)96.6%
Missing30
Missing (%)33.7%
Memory size844.0 B
2024-05-11T17:29:26.026451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.1694915
Min length8

Characters and Unicode

Total characters541
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)93.2%

Sample

1st row978-4688
2nd row02-978-4688
3rd row491-0148
4th row434-7300
5th row495-6717
ValueCountFrequency (%)
02-6414-8251 2
 
3.4%
464-6392 2
 
3.4%
02-2299-4518 1
 
1.7%
965-1500 1
 
1.7%
461-7530 1
 
1.7%
02-495-7800 1
 
1.7%
437-8727 1
 
1.7%
2208-2959 1
 
1.7%
2209-0251 1
 
1.7%
070-8822-9989 1
 
1.7%
Other values (47) 47
79.7%
2024-05-11T17:29:26.382540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
14.0%
2 66
12.2%
4 65
12.0%
0 58
10.7%
9 53
9.8%
8 46
8.5%
3 46
8.5%
6 40
7.4%
7 33
6.1%
1 30
 
5.5%
Other values (2) 28
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 464
85.8%
Dash Punctuation 76
 
14.0%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 66
14.2%
4 65
14.0%
0 58
12.5%
9 53
11.4%
8 46
9.9%
3 46
9.9%
6 40
8.6%
7 33
7.1%
1 30
6.5%
5 27
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 541
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
14.0%
2 66
12.2%
4 65
12.0%
0 58
10.7%
9 53
9.8%
8 46
8.5%
3 46
8.5%
6 40
7.4%
7 33
6.1%
1 30
 
5.5%
Other values (2) 28
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
14.0%
2 66
12.2%
4 65
12.0%
0 58
10.7%
9 53
9.8%
8 46
8.5%
3 46
8.5%
6 40
7.4%
7 33
6.1%
1 30
 
5.5%
Other values (2) 28
 
5.2%

소재지면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size844.0 B
0.0
85 
241.6
 
1
138.8
 
1
962.0
 
1
335.9
 
1

Length

Max length5
Median length3
Mean length3.0898876
Min length3

Unique

Unique4 ?
Unique (%)4.5%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 85
95.5%
241.6 1
 
1.1%
138.8 1
 
1.1%
962.0 1
 
1.1%
335.9 1
 
1.1%

Length

2024-05-11T17:29:26.533148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:26.638898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 85
95.5%
241.6 1
 
1.1%
138.8 1
 
1.1%
962.0 1
 
1.1%
335.9 1
 
1.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

지번주소
Text

Distinct86
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-05-11T17:29:26.883007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length35
Mean length23.348315
Min length16

Characters and Unicode

Total characters2078
Distinct characters73
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)94.4%

Sample

1st row서울특별시 중랑구 중화동 324-15번지
2nd row서울특별시 중랑구 묵동 233-82번지
3rd row서울특별시 중랑구 묵동 233-82 지하
4th row서울특별시 중랑구 면목동 170-6번지
5th row서울특별시 중랑구 망우동 184-19
ValueCountFrequency (%)
서울특별시 89
22.8%
중랑구 89
22.8%
면목동 29
 
7.4%
망우동 21
 
5.4%
상봉동 17
 
4.4%
1층 13
 
3.3%
중화동 9
 
2.3%
묵동 7
 
1.8%
신내동 6
 
1.5%
지하 3
 
0.8%
Other values (101) 107
27.4%
2024-05-11T17:29:27.290932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
376
18.1%
1 102
 
4.9%
중 98
 
4.7%
서 90
 
4.3%
동 90
 
4.3%
랑 89
 
4.3%
구 89
 
4.3%
울 89
 
4.3%
시 89
 
4.3%
별 89
 
4.3%
Other values (63) 877
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1174
56.5%
Decimal Number 429
 
20.6%
Space Separator 376
 
18.1%
Dash Punctuation 86
 
4.1%
Lowercase Letter 6
 
0.3%
Uppercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 98
 
8.3%
서 90
 
7.7%
동 90
 
7.7%
랑 89
 
7.6%
구 89
 
7.6%
울 89
 
7.6%
시 89
 
7.6%
별 89
 
7.6%
특 89
 
7.6%
지 71
 
6.0%
Other values (39) 291
24.8%
Decimal Number
ValueCountFrequency (%)
1 102
23.8%
2 67
15.6%
3 44
10.3%
4 44
10.3%
5 41
9.6%
8 33
 
7.7%
0 28
 
6.5%
7 27
 
6.3%
6 24
 
5.6%
9 19
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
n 1
16.7%
t 1
16.7%
r 1
16.7%
c 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
K 1
33.3%
S 1
33.3%
Other Punctuation
ValueCountFrequency (%)
@ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1174
56.5%
Common 895
43.1%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 98
 
8.3%
서 90
 
7.7%
동 90
 
7.7%
랑 89
 
7.6%
구 89
 
7.6%
울 89
 
7.6%
시 89
 
7.6%
별 89
 
7.6%
특 89
 
7.6%
지 71
 
6.0%
Other values (39) 291
24.8%
Common
ValueCountFrequency (%)
376
42.0%
1 102
 
11.4%
- 86
 
9.6%
2 67
 
7.5%
3 44
 
4.9%
4 44
 
4.9%
5 41
 
4.6%
8 33
 
3.7%
0 28
 
3.1%
7 27
 
3.0%
Other values (6) 47
 
5.3%
Latin
ValueCountFrequency (%)
e 2
22.2%
n 1
11.1%
t 1
11.1%
r 1
11.1%
V 1
11.1%
c 1
11.1%
K 1
11.1%
S 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1174
56.5%
ASCII 904
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
376
41.6%
1 102
 
11.3%
- 86
 
9.5%
2 67
 
7.4%
3 44
 
4.9%
4 44
 
4.9%
5 41
 
4.5%
8 33
 
3.7%
0 28
 
3.1%
7 27
 
3.0%
Other values (14) 56
 
6.2%
Hangul
ValueCountFrequency (%)
중 98
 
8.3%
서 90
 
7.7%
동 90
 
7.7%
랑 89
 
7.6%
구 89
 
7.6%
울 89
 
7.6%
시 89
 
7.6%
별 89
 
7.6%
특 89
 
7.6%
지 71
 
6.0%
Other values (39) 291
24.8%

도로명주소
Text

MISSING 

Distinct80
Distinct (%)94.1%
Missing4
Missing (%)4.5%
Memory size844.0 B
2024-05-11T17:29:27.558861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length38
Mean length27.8
Min length23

Characters and Unicode

Total characters2363
Distinct characters89
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)89.4%

Sample

1st row서울특별시 중랑구 중랑천로 360 (묵동)
2nd row서울특별시 중랑구 중랑천로 360 (묵동,지하)
3rd row서울특별시 중랑구 동일로 569-9 (면목동)
4th row서울특별시 중랑구 용마산로114길 35 (망우동)
5th row서울특별시 중랑구 용마산로72길 26 (면목동)
ValueCountFrequency (%)
서울특별시 85
18.4%
중랑구 85
18.4%
면목동 23
 
5.0%
망우동 19
 
4.1%
1층 19
 
4.1%
상봉동 14
 
3.0%
중화동 8
 
1.7%
용마산로 7
 
1.5%
신내동 6
 
1.3%
묵동 5
 
1.1%
Other values (143) 190
41.2%
2024-05-11T17:29:28.128906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
376
 
15.9%
중 104
 
4.4%
동 102
 
4.3%
랑 93
 
3.9%
1 93
 
3.9%
서 86
 
3.6%
) 86
 
3.6%
( 86
 
3.6%
구 85
 
3.6%
로 85
 
3.6%
Other values (79) 1167
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1373
58.1%
Space Separator 376
 
15.9%
Decimal Number 374
 
15.8%
Close Punctuation 86
 
3.6%
Open Punctuation 86
 
3.6%
Other Punctuation 41
 
1.7%
Dash Punctuation 15
 
0.6%
Uppercase Letter 6
 
0.3%
Lowercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 104
 
7.6%
동 102
 
7.4%
랑 93
 
6.8%
서 86
 
6.3%
구 85
 
6.2%
로 85
 
6.2%
별 85
 
6.2%
시 85
 
6.2%
울 85
 
6.2%
특 85
 
6.2%
Other values (54) 478
34.8%
Decimal Number
ValueCountFrequency (%)
1 93
24.9%
9 44
11.8%
2 42
11.2%
3 32
 
8.6%
4 32
 
8.6%
6 29
 
7.8%
5 29
 
7.8%
7 28
 
7.5%
0 28
 
7.5%
8 17
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
K 1
 
16.7%
V 1
 
16.7%
S 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 40
97.6%
@ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
376
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1373
58.1%
Common 978
41.4%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 104
 
7.6%
동 102
 
7.4%
랑 93
 
6.8%
서 86
 
6.3%
구 85
 
6.2%
로 85
 
6.2%
별 85
 
6.2%
시 85
 
6.2%
울 85
 
6.2%
특 85
 
6.2%
Other values (54) 478
34.8%
Common
ValueCountFrequency (%)
376
38.4%
1 93
 
9.5%
) 86
 
8.8%
( 86
 
8.8%
9 44
 
4.5%
2 42
 
4.3%
, 40
 
4.1%
3 32
 
3.3%
4 32
 
3.3%
6 29
 
3.0%
Other values (6) 118
 
12.1%
Latin
ValueCountFrequency (%)
B 3
25.0%
e 2
16.7%
c 1
 
8.3%
n 1
 
8.3%
t 1
 
8.3%
r 1
 
8.3%
K 1
 
8.3%
V 1
 
8.3%
S 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1373
58.1%
ASCII 990
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
376
38.0%
1 93
 
9.4%
) 86
 
8.7%
( 86
 
8.7%
9 44
 
4.4%
2 42
 
4.2%
, 40
 
4.0%
3 32
 
3.2%
4 32
 
3.2%
6 29
 
2.9%
Other values (15) 130
 
13.1%
Hangul
ValueCountFrequency (%)
중 104
 
7.6%
동 102
 
7.4%
랑 93
 
6.8%
서 86
 
6.3%
구 85
 
6.2%
로 85
 
6.2%
별 85
 
6.2%
시 85
 
6.2%
울 85
 
6.2%
특 85
 
6.2%
Other values (54) 478
34.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)77.6%
Missing40
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean2140.6531
Minimum2009
Maximum2262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T17:29:28.241121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2057.6
Q12090
median2139
Q32179
95-th percentile2236
Maximum2262
Range253
Interquartile range (IQR)89

Descriptive statistics

Standard deviation57.925797
Coefficient of variation (CV)0.027059872
Kurtosis-0.62654279
Mean2140.6531
Median Absolute Deviation (MAD)45
Skewness-0.02313704
Sum104892
Variance3355.398
MonotonicityNot monotonic
2024-05-11T17:29:28.358614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2139 4
 
4.5%
2190 2
 
2.2%
2056 2
 
2.2%
2175 2
 
2.2%
2170 2
 
2.2%
2060 2
 
2.2%
2079 2
 
2.2%
2113 2
 
2.2%
2201 2
 
2.2%
2167 1
 
1.1%
Other values (28) 28
31.5%
(Missing) 40
44.9%
ValueCountFrequency (%)
2009 1
1.1%
2056 2
2.2%
2060 2
2.2%
2066 1
1.1%
2068 1
1.1%
2079 2
2.2%
2081 1
1.1%
2082 1
1.1%
2086 1
1.1%
2090 1
1.1%
ValueCountFrequency (%)
2262 1
1.1%
2244 1
1.1%
2240 1
1.1%
2230 1
1.1%
2223 1
1.1%
2201 2
2.2%
2193 1
1.1%
2190 2
2.2%
2188 1
1.1%
2184 1
1.1%

사업장명
Text

Distinct86
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-05-11T17:29:28.573008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.3370787
Min length3

Characters and Unicode

Total characters564
Distinct characters175
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)93.3%

Sample

1st row장수유통
2nd row명성유통
3rd row명성유통
4th row승리유통
5th row(주)토담푸드시스템
ValueCountFrequency (%)
주식회사 3
 
2.9%
명성유통 2
 
1.9%
축산유통 2
 
1.9%
한강유통 2
 
1.9%
또바기c&f 2
 
1.9%
홀리미트 1
 
1.0%
우주유통 1
 
1.0%
미트원 1
 
1.0%
고려축산유통 1
 
1.0%
ck 1
 
1.0%
Other values (89) 89
84.8%
2024-05-11T17:29:28.923734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
5.5%
) 26
 
4.6%
( 26
 
4.6%
통 20
 
3.5%
유 19
 
3.4%
산 19
 
3.4%
드 19
 
3.4%
푸 18
 
3.2%
축 16
 
2.8%
16
 
2.8%
Other values (165) 354
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 469
83.2%
Close Punctuation 26
 
4.6%
Open Punctuation 26
 
4.6%
Uppercase Letter 19
 
3.4%
Space Separator 16
 
2.8%
Other Punctuation 5
 
0.9%
Lowercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
6.6%
통 20
 
4.3%
유 19
 
4.1%
산 19
 
4.1%
드 19
 
4.1%
푸 18
 
3.8%
축 16
 
3.4%
한 9
 
1.9%
식 9
 
1.9%
스 9
 
1.9%
Other values (149) 300
64.0%
Uppercase Letter
ValueCountFrequency (%)
F 6
31.6%
C 4
21.1%
S 2
 
10.5%
J 2
 
10.5%
K 1
 
5.3%
H 1
 
5.3%
B 1
 
5.3%
M 1
 
5.3%
O 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
. 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
d 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 469
83.2%
Common 73
 
12.9%
Latin 22
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
6.6%
통 20
 
4.3%
유 19
 
4.1%
산 19
 
4.1%
드 19
 
4.1%
푸 18
 
3.8%
축 16
 
3.4%
한 9
 
1.9%
식 9
 
1.9%
스 9
 
1.9%
Other values (149) 300
64.0%
Latin
ValueCountFrequency (%)
F 6
27.3%
C 4
18.2%
S 2
 
9.1%
J 2
 
9.1%
o 2
 
9.1%
d 1
 
4.5%
K 1
 
4.5%
H 1
 
4.5%
B 1
 
4.5%
M 1
 
4.5%
Common
ValueCountFrequency (%)
) 26
35.6%
( 26
35.6%
16
21.9%
& 4
 
5.5%
. 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
83.0%
ASCII 95
 
16.8%
Compat Jamo 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
6.6%
통 20
 
4.3%
유 19
 
4.1%
산 19
 
4.1%
드 19
 
4.1%
푸 18
 
3.8%
축 16
 
3.4%
한 9
 
1.9%
식 9
 
1.9%
스 9
 
1.9%
Other values (148) 299
63.9%
ASCII
ValueCountFrequency (%)
) 26
27.4%
( 26
27.4%
16
16.8%
F 6
 
6.3%
& 4
 
4.2%
C 4
 
4.2%
S 2
 
2.1%
J 2
 
2.1%
o 2
 
2.1%
d 1
 
1.1%
Other values (6) 6
 
6.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2005-01-26 10:08:28
Maximum2024-04-25 17:52:37
2024-05-11T17:29:29.049527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:29:29.165570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
I
66 
U
23 

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 (%)
I 66
74.2%
U 23
 
25.8%

Length

2024-05-11T17:29:29.294036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:29.383861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 66
74.2%
u 23
 
25.8%

데이터갱신일자
Date

Distinct30
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-05-11T17:29:29.472037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:29:29.570663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)88.4%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean207684.57
Minimum206303.03
Maximum209365.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T17:29:29.692210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206303.03
5-th percentile206459.83
Q1206899.9
median207579.5
Q3208415.93
95-th percentile209182.2
Maximum209365.56
Range3062.5326
Interquartile range (IQR)1516.0352

Descriptive statistics

Standard deviation916.8188
Coefficient of variation (CV)0.0044144771
Kurtosis-1.3082458
Mean207684.57
Median Absolute Deviation (MAD)805.24266
Skewness0.13759228
Sum17860873
Variance840556.72
MonotonicityNot monotonic
2024-05-11T17:29:29.814001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207170.013959023 3
 
3.4%
208269.294495248 2
 
2.2%
206552.009352104 2
 
2.2%
206459.826550004 2
 
2.2%
207487.094605265 2
 
2.2%
206708.409652159 2
 
2.2%
208720.961945099 2
 
2.2%
208361.575538899 2
 
2.2%
206912.458822482 2
 
2.2%
208457.509102358 1
 
1.1%
Other values (66) 66
74.2%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
206303.031613921 1
1.1%
206303.819050483 1
1.1%
206308.666676598 1
1.1%
206427.607358 1
1.1%
206459.826550004 2
2.2%
206463.443740034 1
1.1%
206494.386747812 1
1.1%
206546.192640006 1
1.1%
206552.009352104 2
2.2%
206566.808435349 1
1.1%
ValueCountFrequency (%)
209365.564242667 1
1.1%
209347.65826243 1
1.1%
209268.695507292 1
1.1%
209253.841713285 1
1.1%
209231.766994785 1
1.1%
209033.513918057 1
1.1%
208988.782670363 1
1.1%
208975.839442562 1
1.1%
208959.348350532 1
1.1%
208804.536738323 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)88.4%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean454750.89
Minimum452208.73
Maximum457086.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T17:29:29.931047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452208.73
5-th percentile453177.32
Q1454109.28
median454678.81
Q3455312.77
95-th percentile456767.88
Maximum457086.48
Range4877.7477
Interquartile range (IQR)1203.4992

Descriptive statistics

Standard deviation1019.1238
Coefficient of variation (CV)0.0022410595
Kurtosis0.16103461
Mean454750.89
Median Absolute Deviation (MAD)583.84758
Skewness0.22152666
Sum39108577
Variance1038613.3
MonotonicityNot monotonic
2024-05-11T17:29:30.058040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454567.616265626 3
 
3.4%
454713.093539362 2
 
2.2%
457086.477069066 2
 
2.2%
454507.434629541 2
 
2.2%
454346.413815785 2
 
2.2%
453688.939525822 2
 
2.2%
454034.12065365 2
 
2.2%
453898.443759712 2
 
2.2%
453177.317399649 2
 
2.2%
454268.902792515 1
 
1.1%
Other values (66) 66
74.2%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
452208.729385467 1
1.1%
452605.777155961 1
1.1%
452841.395493848 1
1.1%
452868.339047464 1
1.1%
453177.317399649 2
2.2%
453455.76151331 1
1.1%
453467.801145799 1
1.1%
453470.751633822 1
1.1%
453660.821417804 1
1.1%
453688.939525822 2
2.2%
ValueCountFrequency (%)
457086.477069066 2
2.2%
456873.509136444 1
1.1%
456786.440546847 1
1.1%
456775.843940855 1
1.1%
456744.005243414 1
1.1%
456388.172862966 1
1.1%
456323.674371672 1
1.1%
456222.99349841 1
1.1%
456210.158404317 1
1.1%
456192.201616593 1
1.1%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
식육포장처리업
77 
<NA>
12 

Length

Max length7
Median length7
Mean length6.5955056
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 77
86.5%
<NA> 12
 
13.5%

Length

2024-05-11T17:29:30.181229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:30.275559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 77
86.5%
na 12
 
13.5%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
식육포장처리업
77 
<NA>
12 

Length

Max length7
Median length7
Mean length6.5955056
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 77
86.5%
<NA> 12
 
13.5%

Length

2024-05-11T17:29:30.372817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:30.477960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 77
86.5%
na 12
 
13.5%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
83 
0
 
6

Length

Max length4
Median length4
Mean length3.7977528
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
93.3%
0 6
 
6.7%

Length

2024-05-11T17:29:30.573026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:30.657258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
93.3%
0 6
 
6.7%

권리주체일련번호
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
000
52 
L00
25 
<NA>
12 

Length

Max length4
Median length3
Mean length3.1348315
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 52
58.4%
L00 25
28.1%
<NA> 12
 
13.5%

Length

2024-05-11T17:29:30.750981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:30.842420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 52
58.4%
l00 25
28.1%
na 12
 
13.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
83 
0
 
6

Length

Max length4
Median length4
Mean length3.7977528
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
93.3%
0 6
 
6.7%

Length

2024-05-11T17:29:30.940938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:29:31.026990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
93.3%
0 6
 
6.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0306000030600000042000000320020708<NA>3폐업2폐업20060217<NA><NA><NA><NA>0.0<NA>서울특별시 중랑구 중화동 324-15번지<NA><NA>장수유통2006-02-17 17:21:15I2018-08-31 23:59:59.0<NA>206303.81905454669.332331식육포장처리업식육포장처리업<NA>000<NA>
1306000030600000042001000320011009<NA>3폐업2폐업20080125<NA><NA><NA>978-46880.0<NA>서울특별시 중랑구 묵동 233-82번지서울특별시 중랑구 중랑천로 360 (묵동)<NA>명성유통2008-01-25 17:12:33I2018-08-31 23:59:59.0<NA>206552.009352457086.477069식육포장처리업식육포장처리업<NA>000<NA>
2306000030600000042003000320030625<NA>3폐업2폐업20221011<NA><NA><NA>02-978-46880.0<NA>서울특별시 중랑구 묵동 233-82 지하서울특별시 중랑구 중랑천로 360 (묵동,지하)<NA>명성유통2022-10-11 10:51:07U2021-10-30 23:03:00.0<NA>206552.009352457086.477069<NA><NA><NA><NA><NA>
3306000030600000042004000120040601<NA>3폐업2폐업20131227<NA><NA><NA>491-01480.0<NA>서울특별시 중랑구 면목동 170-6번지서울특별시 중랑구 동일로 569-9 (면목동)<NA>승리유통2013-12-27 13:33:58I2018-08-31 23:59:59.0<NA>206912.458822453177.3174식육포장처리업식육포장처리업<NA>000<NA>
4306000030600000042005000120050110<NA>3폐업2폐업20210715<NA><NA><NA>434-73000.0<NA>서울특별시 중랑구 망우동 184-19서울특별시 중랑구 용마산로114길 35 (망우동)2177(주)토담푸드시스템2021-07-15 16:03:08U2021-07-17 02:40:00.0<NA>209033.513918455222.775712식육포장처리업식육포장처리업0L000
5306000030600000042005000220050110<NA>3폐업2폐업20050126<NA><NA><NA><NA>0.0<NA>서울특별시 중랑구 면목동 485-8번지서울특별시 중랑구 용마산로72길 26 (면목동)<NA>나래실업2005-01-26 10:08:28I2018-08-31 23:59:59.0<NA>208340.817738453467.801146식육포장처리업식육포장처리업<NA>000<NA>
6306000030600000042005000320050110<NA>3폐업2폐업20101108<NA><NA><NA><NA>241.6<NA>서울특별시 중랑구 면목동 718-2번지서울특별시 중랑구 동일로 467 (면목동)<NA>(주)진푸드시스템2010-11-08 19:31:25I2018-08-31 23:59:59.0<NA>206984.138058452208.729385식육포장처리업식육포장처리업<NA>L00<NA>
7306000030600000042005000420050110<NA>3폐업2폐업20060120<NA><NA><NA><NA>0.0<NA>서울특별시 중랑구 묵동 238-28번지서울특별시 중랑구 중랑역로 220 (묵동)<NA>더조아식품2006-01-20 10:49:00I2018-08-31 23:59:59.0<NA>206618.331572456744.005243식육포장처리업식육포장처리업<NA>000<NA>
8306000030600000042005000520050110<NA>3폐업2폐업20090828<NA><NA><NA>495-67170.0<NA>서울특별시 중랑구 면목동 191-87번지서울특별시 중랑구 봉우재로1길 3 (면목동)<NA>립푸드2009-08-29 15:02:36I2018-08-31 23:59:59.0<NA>206463.44374454151.215336식육포장처리업식육포장처리업<NA>L00<NA>
9306000030600000042005000620050110<NA>3폐업2폐업20060207<NA><NA><NA><NA>0.0<NA>서울특별시 중랑구 중화동 323-85번지서울특별시 중랑구 중랑천로18길 9 (중화동)<NA>정오품가2006-02-07 10:48:22I2018-08-31 23:59:59.0<NA>206427.607358455085.737431식육포장처리업식육포장처리업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
79306000030600001042020000220200123<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 중랑구 면목동 174-49서울특별시 중랑구 겸재로4길 7 (면목동)2230(주)자연한우2021-06-04 09:47:09U2021-06-06 02:40:00.0<NA>206708.409652453688.939526식육포장처리업식육포장처리업<NA>L00<NA>
8030600003060000104202000032020-04-20<NA>1영업/정상0정상<NA><NA><NA><NA>02-2299-45180.0<NA>서울특별시 중랑구 망우동 526-2서울특별시 중랑구 겸재로 261 (망우동)2175만복푸드2023-06-09 17:04:55U2022-12-05 23:01:00.0<NA>208457.509102454268.902793<NA><NA><NA><NA><NA>
81306000030600001042021000120210405<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 중랑구 중화동 326-54서울특별시 중랑구 중랑천로 126-1, 1층 (중화동)2113디딤축산2021-04-05 11:39:03I2021-04-07 00:22:58.0<NA>206308.666677454919.534744식육포장처리업식육포장처리업<NA>000<NA>
8230600003060000104202100022021-07-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 중랑구 중화동 326-57서울특별시 중랑구 중랑천로 130-1, 비층 101호 (중화동)2113론푸드2024-04-25 17:52:37U2023-12-03 22:07:00.0<NA>206303.031614454954.888437<NA><NA><NA><NA><NA>
83306000030600001042021000320211221<NA>1영업/정상0정상<NA><NA><NA><NA>02-6402-33090.0<NA>서울특별시 중랑구 신내동 821-2 신내 SK V1 center서울특별시 중랑구 신내역로 111, 신내 SK V1 center B205,B206,B207호 (신내동)2262(주)헤비스테이크 헤비푸드2021-12-21 12:50:35I2021-12-23 00:22:42.0<NA><NA><NA>식육포장처리업식육포장처리업0L000
8430600003060000104202200012016-04-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 중랑구 면목동 57-2서울특별시 중랑구 용마산로 376(면목동)2193동아육가공 주식회사2023-03-13 17:58:42U2022-12-02 23:05:00.0<NA>208307.650332453660.821418<NA><NA><NA><NA><NA>
8530600003060000104202200022022-12-26<NA>1영업/정상0정상<NA><NA><NA><NA>02-2292-39860.0<NA>서울특별시 중랑구 면목동 50-16 신일유치원서울특별시 중랑구 용마산로 399, 신일유치원 (면목동)2201(주)부흥축산2023-12-26 16:57:17U2022-11-01 22:08:00.0<NA>208361.575539453898.44376<NA><NA><NA><NA><NA>
8630600003060000104202300012006-11-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 중랑구 중화동 208-4 범양프레체서울특별시 중랑구 중랑천로14길 58, 1층 (중화동, 범양프레체)2116(주)동향2023-02-23 17:08:16I2022-12-01 22:05:00.0<NA>206631.89026454688.29758<NA><NA><NA><NA><NA>
8730600003060000104202300022023-08-07<NA>1영업/정상0정상<NA><NA><NA><NA><NA>962.0<NA>서울특별시 중랑구 신내동 385서울특별시 중랑구 용마산로 637 (신내동)2068홀리미트2023-08-07 16:32:27I2022-12-08 00:09:00.0<NA>208804.536738456192.201617<NA><NA><NA><NA><NA>
8830600003060000104202400012024-02-21<NA>1영업/정상0정상<NA><NA><NA><NA><NA>335.9<NA>서울특별시 중랑구 상봉동 125-36 캐리어빌딩서울특별시 중랑구 봉우재로 75, 캐리어빌딩 (상봉동)2139영창축산2024-02-21 17:10:07I2023-12-01 22:03:00.0<NA>207137.688232454399.045077<NA><NA><NA><NA><NA>