Overview

Dataset statistics

Number of variables30
Number of observations36
Missing cells255
Missing cells (%)23.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory259.7 B

Variable types

Categorical11
Numeric5
DateTime4
Unsupported6
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18131/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (57.0%)Imbalance
영업상태명 is highly imbalanced (57.0%)Imbalance
상세영업상태코드 is highly imbalanced (57.0%)Imbalance
상세영업상태명 is highly imbalanced (57.0%)Imbalance
축산업무구분명 is highly imbalanced (69.0%)Imbalance
축산물가공업구분명 is highly imbalanced (69.0%)Imbalance
축산일련번호 is highly imbalanced (81.7%)Imbalance
총인원 is highly imbalanced (81.7%)Imbalance
인허가취소일자 has 36 (100.0%) missing valuesMissing
폐업일자 has 4 (11.1%) missing valuesMissing
휴업시작일자 has 36 (100.0%) missing valuesMissing
휴업종료일자 has 36 (100.0%) missing valuesMissing
재개업일자 has 36 (100.0%) missing valuesMissing
전화번호 has 8 (22.2%) missing valuesMissing
소재지우편번호 has 36 (100.0%) missing valuesMissing
도로명우편번호 has 27 (75.0%) missing valuesMissing
업태구분명 has 36 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 27 (75.0%) zerosZeros

Reproduction

Analysis started2024-05-11 05:46:33.937790
Analysis finished2024-05-11 05:46:34.582425
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
3040000
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 36
100.0%

Length

2024-05-11T14:46:34.687037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:34.841740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 36
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.04 × 1017
Minimum3.04 × 1017
Maximum3.0400001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T14:46:35.012348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.04 × 1017
5-th percentile3.04 × 1017
Q13.04 × 1017
median3.04 × 1017
Q33.04 × 1017
95-th percentile3.0400001 × 1017
Maximum3.0400001 × 1017
Range1.000017 × 1010
Interquartile range (IQR)49984

Descriptive statistics

Standard deviation4.0138971 × 109
Coefficient of variation (CV)1.3203609 × 10-8
Kurtosis0.6306472
Mean3.04 × 1017
Median Absolute Deviation (MAD)20032
Skewness1.6120593
Sum-7.502744 × 1018
Variance1.611137 × 1019
MonotonicityStrictly increasing
2024-05-11T14:46:35.252235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
304000000420000001 1
 
2.8%
304000000420070006 1
 
2.8%
304000000420080005 1
 
2.8%
304000000420080007 1
 
2.8%
304000000420080009 1
 
2.8%
304000000420080011 1
 
2.8%
304000000420080012 1
 
2.8%
304000000420090001 1
 
2.8%
304000000420090003 1
 
2.8%
304000000420090005 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
304000000420000001 1
2.8%
304000000420000002 1
2.8%
304000000420020001 1
2.8%
304000000420030001 1
2.8%
304000000420030002 1
2.8%
304000000420030005 1
2.8%
304000000420030007 1
2.8%
304000000420040004 1
2.8%
304000000420040007 1
2.8%
304000000420040009 1
2.8%
ValueCountFrequency (%)
304000010420170001 1
2.8%
304000010420160001 1
2.8%
304000010420150002 1
2.8%
304000010420150001 1
2.8%
304000010420110002 1
2.8%
304000010420110001 1
2.8%
304000010420100001 1
2.8%
304000000420090005 1
2.8%
304000000420090003 1
2.8%
304000000420090001 1
2.8%

인허가일자
Date

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2000-03-21 00:00:00
Maximum2017-02-14 00:00:00
2024-05-11T14:46:35.454544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:35.675120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
3
31 
1
4 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
86.1%
1 4
 
11.1%
4 1
 
2.8%

Length

2024-05-11T14:46:35.848124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:35.983594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
86.1%
1 4
 
11.1%
4 1
 
2.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
폐업
31 
영업/정상
4 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length2.6666667
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
86.1%
영업/정상 4
 
11.1%
취소/말소/만료/정지/중지 1
 
2.8%

Length

2024-05-11T14:46:36.155231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:36.304939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
86.1%
영업/정상 4
 
11.1%
취소/말소/만료/정지/중지 1
 
2.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
2
31 
0
4 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
2 31
86.1%
0 4
 
11.1%
3 1
 
2.8%

Length

2024-05-11T14:46:36.514619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:36.778575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 31
86.1%
0 4
 
11.1%
3 1
 
2.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
폐업
31 
정상
4 
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0555556
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
86.1%
정상 4
 
11.1%
행정처분 1
 
2.8%

Length

2024-05-11T14:46:37.009346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:37.210027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
86.1%
정상 4
 
11.1%
행정처분 1
 
2.8%

폐업일자
Date

MISSING 

Distinct32
Distinct (%)100.0%
Missing4
Missing (%)11.1%
Memory size420.0 B
Minimum2004-11-19 00:00:00
Maximum2023-08-23 00:00:00
2024-05-11T14:46:37.697085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:37.869660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

전화번호
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing8
Missing (%)22.2%
Memory size420.0 B
2024-05-11T14:46:38.138794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.6785714
Min length8

Characters and Unicode

Total characters271
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

Unique28 ?
Unique (%)100.0%

Sample

1st row466-5991
2nd row447-2250
3rd row454-3435
4th row2201-4224
5th row3409-0199
ValueCountFrequency (%)
447-2250 1
 
3.6%
454-3435 1
 
3.6%
2201-5894 1
 
3.6%
02-498-1863 1
 
3.6%
02-456-9249 1
 
3.6%
02-2205-3505 1
 
3.6%
02-469-6077 1
 
3.6%
02-446-0695 1
 
3.6%
02-446-1553 1
 
3.6%
02-2242-5592 1
 
3.6%
Other values (18) 18
64.3%
2024-05-11T14:46:38.626295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 42
15.5%
- 40
14.8%
2 37
13.7%
0 33
12.2%
5 32
11.8%
6 21
7.7%
9 18
6.6%
3 17
6.3%
1 11
 
4.1%
8 11
 
4.1%
Other values (2) 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
84.9%
Dash Punctuation 40
 
14.8%
Close Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 42
18.3%
2 37
16.1%
0 33
14.3%
5 32
13.9%
6 21
9.1%
9 18
7.8%
3 17
7.4%
1 11
 
4.8%
8 11
 
4.8%
7 8
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 271
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 42
15.5%
- 40
14.8%
2 37
13.7%
0 33
12.2%
5 32
11.8%
6 21
7.7%
9 18
6.6%
3 17
6.3%
1 11
 
4.1%
8 11
 
4.1%
Other values (2) 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 42
15.5%
- 40
14.8%
2 37
13.7%
0 33
12.2%
5 32
11.8%
6 21
7.7%
9 18
6.6%
3 17
6.3%
1 11
 
4.1%
8 11
 
4.1%
Other values (2) 9
 
3.3%

소재지면적
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.327222
Minimum0
Maximum312.4
Zeros27
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T14:46:38.844488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.75
95-th percentile174.6125
Maximum312.4
Range312.4
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation72.650904
Coefficient of variation (CV)2.5647027
Kurtosis10.123038
Mean28.327222
Median Absolute Deviation (MAD)0
Skewness3.2078884
Sum1019.78
Variance5278.1538
MonotonicityNot monotonic
2024-05-11T14:46:39.037832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 27
75.0%
47.22 1
 
2.8%
74.56 1
 
2.8%
69.4 1
 
2.8%
42.0 1
 
2.8%
15.0 1
 
2.8%
36.55 1
 
2.8%
137.9 1
 
2.8%
284.75 1
 
2.8%
312.4 1
 
2.8%
ValueCountFrequency (%)
0.0 27
75.0%
15.0 1
 
2.8%
36.55 1
 
2.8%
42.0 1
 
2.8%
47.22 1
 
2.8%
69.4 1
 
2.8%
74.56 1
 
2.8%
137.9 1
 
2.8%
284.75 1
 
2.8%
312.4 1
 
2.8%
ValueCountFrequency (%)
312.4 1
 
2.8%
284.75 1
 
2.8%
137.9 1
 
2.8%
74.56 1
 
2.8%
69.4 1
 
2.8%
47.22 1
 
2.8%
42.0 1
 
2.8%
36.55 1
 
2.8%
15.0 1
 
2.8%
0.0 27
75.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

지번주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-05-11T14:46:39.320879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length23.527778
Min length20

Characters and Unicode

Total characters847
Distinct characters37
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 자양동 58-13번지
2nd row서울특별시 광진구 자양동 601-20번지
3rd row서울특별시 광진구 구의동 59-11번지
4th row서울특별시 광진구 중곡동 131-4번지
5th row서울특별시 광진구 중곡동 241-58번지
ValueCountFrequency (%)
서울특별시 36
22.2%
광진구 36
22.2%
자양동 15
 
9.3%
중곡동 13
 
8.0%
1층 9
 
5.6%
구의동 6
 
3.7%
지하1층 3
 
1.9%
2층 2
 
1.2%
636-13번지 2
 
1.2%
지하 2
 
1.2%
Other values (38) 38
23.5%
2024-05-11T14:46:39.850081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
18.9%
구 42
 
5.0%
1 42
 
5.0%
시 37
 
4.4%
광 37
 
4.4%
서 36
 
4.3%
울 36
 
4.3%
동 36
 
4.3%
지 36
 
4.3%
진 36
 
4.3%
Other values (27) 349
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 488
57.6%
Decimal Number 164
 
19.4%
Space Separator 160
 
18.9%
Dash Punctuation 35
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 42
 
8.6%
시 37
 
7.6%
광 37
 
7.6%
서 36
 
7.4%
울 36
 
7.4%
동 36
 
7.4%
지 36
 
7.4%
진 36
 
7.4%
별 36
 
7.4%
특 36
 
7.4%
Other values (15) 120
24.6%
Decimal Number
ValueCountFrequency (%)
1 42
25.6%
3 23
14.0%
2 20
12.2%
6 19
11.6%
5 14
 
8.5%
8 11
 
6.7%
0 11
 
6.7%
9 10
 
6.1%
4 8
 
4.9%
7 6
 
3.7%
Space Separator
ValueCountFrequency (%)
160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 488
57.6%
Common 359
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 42
 
8.6%
시 37
 
7.6%
광 37
 
7.6%
서 36
 
7.4%
울 36
 
7.4%
동 36
 
7.4%
지 36
 
7.4%
진 36
 
7.4%
별 36
 
7.4%
특 36
 
7.4%
Other values (15) 120
24.6%
Common
ValueCountFrequency (%)
160
44.6%
1 42
 
11.7%
- 35
 
9.7%
3 23
 
6.4%
2 20
 
5.6%
6 19
 
5.3%
5 14
 
3.9%
8 11
 
3.1%
0 11
 
3.1%
9 10
 
2.8%
Other values (2) 14
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 488
57.6%
ASCII 359
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
44.6%
1 42
 
11.7%
- 35
 
9.7%
3 23
 
6.4%
2 20
 
5.6%
6 19
 
5.3%
5 14
 
3.9%
8 11
 
3.1%
0 11
 
3.1%
9 10
 
2.8%
Other values (2) 14
 
3.9%
Hangul
ValueCountFrequency (%)
구 42
 
8.6%
시 37
 
7.6%
광 37
 
7.6%
서 36
 
7.4%
울 36
 
7.4%
동 36
 
7.4%
지 36
 
7.4%
진 36
 
7.4%
별 36
 
7.4%
특 36
 
7.4%
Other values (15) 120
24.6%

도로명주소
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-05-11T14:46:40.211929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length26.722222
Min length23

Characters and Unicode

Total characters962
Distinct characters61
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

Unique34 ?
Unique (%)94.4%

Sample

1st row서울특별시 광진구 능동로3라길 4 (자양동)
2nd row서울특별시 광진구 뚝섬로44길 34 (자양동)
3rd row서울특별시 광진구 천호대로 704 (구의동)
4th row서울특별시 광진구 용마산로1길 45 (중곡동)
5th row서울특별시 광진구 긴고랑로 45 (중곡동)
ValueCountFrequency (%)
서울특별시 36
19.1%
광진구 36
19.1%
자양동 11
 
5.9%
중곡동 8
 
4.3%
1층 5
 
2.7%
구의동 4
 
2.1%
자양동,1층 3
 
1.6%
천호대로 3
 
1.6%
26 2
 
1.1%
10 2
 
1.1%
Other values (65) 78
41.5%
2024-05-11T14:46:40.798731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
15.8%
동 43
 
4.5%
구 42
 
4.4%
광 39
 
4.1%
시 37
 
3.8%
서 36
 
3.7%
특 36
 
3.7%
별 36
 
3.7%
진 36
 
3.7%
) 36
 
3.7%
Other values (51) 469
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
60.2%
Space Separator 152
 
15.8%
Decimal Number 142
 
14.8%
Close Punctuation 36
 
3.7%
Open Punctuation 36
 
3.7%
Other Punctuation 15
 
1.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
 
7.4%
구 42
 
7.3%
광 39
 
6.7%
시 37
 
6.4%
서 36
 
6.2%
특 36
 
6.2%
별 36
 
6.2%
진 36
 
6.2%
로 36
 
6.2%
울 36
 
6.2%
Other values (36) 202
34.9%
Decimal Number
ValueCountFrequency (%)
1 35
24.6%
2 19
13.4%
3 16
11.3%
4 14
 
9.9%
5 14
 
9.9%
6 14
 
9.9%
0 12
 
8.5%
7 9
 
6.3%
8 5
 
3.5%
9 4
 
2.8%
Space Separator
ValueCountFrequency (%)
152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 579
60.2%
Common 383
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
 
7.4%
구 42
 
7.3%
광 39
 
6.7%
시 37
 
6.4%
서 36
 
6.2%
특 36
 
6.2%
별 36
 
6.2%
진 36
 
6.2%
로 36
 
6.2%
울 36
 
6.2%
Other values (36) 202
34.9%
Common
ValueCountFrequency (%)
152
39.7%
) 36
 
9.4%
( 36
 
9.4%
1 35
 
9.1%
2 19
 
5.0%
3 16
 
4.2%
, 15
 
3.9%
4 14
 
3.7%
5 14
 
3.7%
6 14
 
3.7%
Other values (5) 32
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
60.2%
ASCII 383
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
39.7%
) 36
 
9.4%
( 36
 
9.4%
1 35
 
9.1%
2 19
 
5.0%
3 16
 
4.2%
, 15
 
3.9%
4 14
 
3.7%
5 14
 
3.7%
6 14
 
3.7%
Other values (5) 32
 
8.4%
Hangul
ValueCountFrequency (%)
동 43
 
7.4%
구 42
 
7.3%
광 39
 
6.7%
시 37
 
6.4%
서 36
 
6.2%
특 36
 
6.2%
별 36
 
6.2%
진 36
 
6.2%
로 36
 
6.2%
울 36
 
6.2%
Other values (36) 202
34.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing27
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean4969.1111
Minimum4908
Maximum5073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T14:46:41.003671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4908
5-th percentile4914.4
Q14930
median4969
Q34980
95-th percentile5054.6
Maximum5073
Range165
Interquartile range (IQR)50

Descriptive statistics

Standard deviation53.773703
Coefficient of variation (CV)0.010821594
Kurtosis0.24286316
Mean4969.1111
Median Absolute Deviation (MAD)39
Skewness0.91226991
Sum44722
Variance2891.6111
MonotonicityNot monotonic
2024-05-11T14:46:41.291642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4980 2
 
5.6%
4930 1
 
2.8%
4931 1
 
2.8%
4924 1
 
2.8%
5073 1
 
2.8%
4969 1
 
2.8%
4908 1
 
2.8%
5027 1
 
2.8%
(Missing) 27
75.0%
ValueCountFrequency (%)
4908 1
2.8%
4924 1
2.8%
4930 1
2.8%
4931 1
2.8%
4969 1
2.8%
4980 2
5.6%
5027 1
2.8%
5073 1
2.8%
ValueCountFrequency (%)
5073 1
2.8%
5027 1
2.8%
4980 2
5.6%
4969 1
2.8%
4931 1
2.8%
4930 1
2.8%
4924 1
2.8%
4908 1
2.8%

사업장명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-05-11T14:46:41.601179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.75
Min length3

Characters and Unicode

Total characters243
Distinct characters101
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row한국농축산유통
2nd row(주)진풍축산
3rd row(주)코빅푸드
4th row경민식품축산유통
5th row(주)하늘소
ValueCountFrequency (%)
주식회사 2
 
5.0%
주)케이티에스푸드 1
 
2.5%
화씨푸드우성유통 1
 
2.5%
내면농업협동조합 1
 
2.5%
태왕푸드 1
 
2.5%
주)행복추풍령 1
 
2.5%
식품사업부 1
 
2.5%
엔컴플러스 1
 
2.5%
대도축산 1
 
2.5%
돈사구 1
 
2.5%
Other values (29) 29
72.5%
2024-05-11T14:46:42.098677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 12
 
4.9%
( 11
 
4.5%
) 11
 
4.5%
축 10
 
4.1%
산 9
 
3.7%
유 9
 
3.7%
통 9
 
3.7%
드 9
 
3.7%
푸 8
 
3.3%
사 6
 
2.5%
Other values (91) 149
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
88.1%
Open Punctuation 11
 
4.5%
Close Punctuation 11
 
4.5%
Space Separator 4
 
1.6%
Uppercase Letter 2
 
0.8%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
5.6%
축 10
 
4.7%
산 9
 
4.2%
유 9
 
4.2%
통 9
 
4.2%
드 9
 
4.2%
푸 8
 
3.7%
사 6
 
2.8%
식 5
 
2.3%
대 4
 
1.9%
Other values (86) 133
62.1%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
88.1%
Common 27
 
11.1%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
5.6%
축 10
 
4.7%
산 9
 
4.2%
유 9
 
4.2%
통 9
 
4.2%
드 9
 
4.2%
푸 8
 
3.7%
사 6
 
2.8%
식 5
 
2.3%
대 4
 
1.9%
Other values (86) 133
62.1%
Common
ValueCountFrequency (%)
( 11
40.7%
) 11
40.7%
4
 
14.8%
& 1
 
3.7%
Latin
ValueCountFrequency (%)
P 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
88.1%
ASCII 29
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 12
 
5.6%
축 10
 
4.7%
산 9
 
4.2%
유 9
 
4.2%
통 9
 
4.2%
드 9
 
4.2%
푸 8
 
3.7%
사 6
 
2.8%
식 5
 
2.3%
대 4
 
1.9%
Other values (86) 133
62.1%
ASCII
ValueCountFrequency (%)
( 11
37.9%
) 11
37.9%
4
 
13.8%
P 2
 
6.9%
& 1
 
3.4%

최종수정일자
Date

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2005-05-11 10:18:11
Maximum2023-08-23 16:28:33
2024-05-11T14:46:42.269731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:42.481075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
I
29 
U
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 rowI

Common Values

ValueCountFrequency (%)
I 29
80.6%
U 7
 
19.4%

Length

2024-05-11T14:46:42.696180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:42.890742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
80.6%
u 7
 
19.4%

데이터갱신일자
Date

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 22:05:00
2024-05-11T14:46:43.019702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:43.200252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

좌표정보(X)
Real number (ℝ)

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207241.49
Minimum205700.88
Maximum209367.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T14:46:43.407153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205700.88
5-th percentile206010.8
Q1206868.98
median207168.33
Q3207645.26
95-th percentile208133.08
Maximum209367.99
Range3667.1128
Interquartile range (IQR)776.27884

Descriptive statistics

Standard deviation699.54935
Coefficient of variation (CV)0.0033755274
Kurtosis1.575595
Mean207241.49
Median Absolute Deviation (MAD)437.14882
Skewness0.41023693
Sum7460693.7
Variance489369.29
MonotonicityNot monotonic
2024-05-11T14:46:43.691926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
208116.930605666 2
 
5.6%
207024.327031888 2
 
5.6%
205700.879155221 1
 
2.8%
207665.545576748 1
 
2.8%
206889.381603724 1
 
2.8%
208181.517388785 1
 
2.8%
207638.503157116 1
 
2.8%
206715.892577858 1
 
2.8%
207246.646767875 1
 
2.8%
207251.976568094 1
 
2.8%
Other values (24) 24
66.7%
ValueCountFrequency (%)
205700.879155221 1
2.8%
205983.644347859 1
2.8%
206019.854380004 1
2.8%
206636.815635784 1
2.8%
206684.48300903 1
2.8%
206695.799389347 1
2.8%
206715.892577858 1
2.8%
206732.014400045 1
2.8%
206852.276708101 1
2.8%
206874.554322966 1
2.8%
ValueCountFrequency (%)
209367.991933454 1
2.8%
208181.517388785 1
2.8%
208116.930605666 2
5.6%
208086.073891593 1
2.8%
207841.576415869 1
2.8%
207815.953840302 1
2.8%
207778.116493941 1
2.8%
207665.545576748 1
2.8%
207638.503157116 1
2.8%
207606.31204579 1
2.8%

좌표정보(Y)
Real number (ℝ)

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449410.79
Minimum447562.5
Maximum452022.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T14:46:43.910242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447562.5
5-th percentile447673.76
Q1447986.64
median449403.12
Q3450500.46
95-th percentile451629.78
Maximum452022.54
Range4460.0419
Interquartile range (IQR)2513.8152

Descriptive statistics

Standard deviation1427.2853
Coefficient of variation (CV)0.0031759034
Kurtosis-1.3330497
Mean449410.79
Median Absolute Deviation (MAD)1328.1238
Skewness0.24108024
Sum16178788
Variance2037143.2
MonotonicityNot monotonic
2024-05-11T14:46:44.072432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
449594.892520717 2
 
5.6%
447673.763213472 2
 
5.6%
447993.515425399 1
 
2.8%
449342.100781358 1
 
2.8%
451842.410907153 1
 
2.8%
448984.848324887 1
 
2.8%
447788.349084855 1
 
2.8%
450996.622475563 1
 
2.8%
451112.8270504 1
 
2.8%
451360.694185897 1
 
2.8%
Other values (24) 24
66.7%
ValueCountFrequency (%)
447562.50009427 1
2.8%
447673.763213472 2
5.6%
447706.64669738 1
2.8%
447708.281737553 1
2.8%
447758.670051937 1
2.8%
447773.158365917 1
2.8%
447788.349084855 1
2.8%
447966.030308158 1
2.8%
447993.515425399 1
2.8%
448223.602940322 1
2.8%
ValueCountFrequency (%)
452022.542039327 1
2.8%
451842.410907153 1
2.8%
451558.905825829 1
2.8%
451360.694185897 1
2.8%
451175.675772079 1
2.8%
451112.8270504 1
2.8%
451055.823152065 1
2.8%
450996.622475563 1
2.8%
450649.763116883 1
2.8%
450450.691463243 1
2.8%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
식육포장처리업
34 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.8333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 34
94.4%
<NA> 2
 
5.6%

Length

2024-05-11T14:46:44.259315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:44.418928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 34
94.4%
na 2
 
5.6%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
식육포장처리업
34 
<NA>
 
2

Length

Max length7
Median length7
Mean length6.8333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 34
94.4%
<NA> 2
 
5.6%

Length

2024-05-11T14:46:44.625489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:44.809881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 34
94.4%
na 2
 
5.6%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
0
 
1

Length

Max length4
Median length4
Mean length3.9166667
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
0 1
 
2.8%

Length

2024-05-11T14:46:45.014822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:45.207379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
0 1
 
2.8%

권리주체일련번호
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
000
23 
L00
11 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0555556
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 23
63.9%
L00 11
30.6%
<NA> 2
 
5.6%

Length

2024-05-11T14:46:45.381039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:45.572491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 23
63.9%
l00 11
30.6%
na 2
 
5.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
0
 
1

Length

Max length4
Median length4
Mean length3.9166667
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
0 1
 
2.8%

Length

2024-05-11T14:46:45.753749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:45.963379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
0 1
 
2.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0304000030400000042000000120000321<NA>3폐업2폐업20120621<NA><NA><NA>466-59910.0<NA>서울특별시 광진구 자양동 58-13번지서울특별시 광진구 능동로3라길 4 (자양동)<NA>한국농축산유통2012-06-21 09:48:42I2018-08-31 23:59:59.0<NA>205700.879155447993.515425식육포장처리업식육포장처리업<NA>000<NA>
1304000030400000042000000220000920<NA>3폐업2폐업20060329<NA><NA><NA>447-225047.22<NA>서울특별시 광진구 자양동 601-20번지서울특별시 광진구 뚝섬로44길 34 (자양동)<NA>(주)진풍축산2006-03-29 13:26:33I2018-08-31 23:59:59.0<NA>206636.815636447706.646697식육포장처리업식육포장처리업<NA>000<NA>
2304000030400000042002000120030220<NA>3폐업2폐업20200525<NA><NA><NA>454-34350.0<NA>서울특별시 광진구 구의동 59-11번지서울특별시 광진구 천호대로 704 (구의동)4980(주)코빅푸드2020-05-25 10:58:58U2020-05-27 02:40:00.0<NA>208086.073892449609.623632식육포장처리업식육포장처리업<NA>L00<NA>
3304000030400000042003000120030605<NA>3폐업2폐업20041119<NA><NA><NA>2201-422474.56<NA>서울특별시 광진구 중곡동 131-4번지서울특별시 광진구 용마산로1길 45 (중곡동)4930경민식품축산유통2011-10-30 13:13:59I2018-08-31 23:59:59.0<NA>207526.561302450348.286812식육포장처리업식육포장처리업<NA>000<NA>
4304000030400000042003000220030605<NA>3폐업2폐업20061011<NA><NA><NA>3409-019969.4<NA>서울특별시 광진구 중곡동 241-58번지서울특별시 광진구 긴고랑로 45 (중곡동)<NA>(주)하늘소2006-10-11 14:07:27I2018-08-31 23:59:59.0<NA>207118.226781451175.675772식육포장처리업식육포장처리업<NA>000<NA>
5304000030400000042003000520031022<NA>3폐업2폐업20170406<NA><NA><NA>2205-45400.0<NA>서울특별시 광진구 자양동 3-7번지서울특별시 광진구 동일로18길 116 (자양동)<NA>축협유통(성수점)2017-04-06 11:38:07I2018-08-31 23:59:59.0<NA>206019.85438448414.385537식육포장처리업식육포장처리업<NA>000<NA>
6304000030400000042003000720030410<NA>3폐업2폐업20090327<NA><NA><NA>444-22240.0<NA>서울특별시 광진구 자양동 595-8번지 다성시티빌 102호서울특별시 광진구 뚝섬로52길 40 (자양동,다성시티빌 102호)<NA>대현식품2009-03-27 17:01:16I2018-08-31 23:59:59.0<NA>206879.866126447562.500094식육포장처리업식육포장처리업<NA>000<NA>
7304000030400000042004000420040607<NA>3폐업2폐업20080416<NA><NA><NA>02-453-483542.0<NA>서울특별시 광진구 자양동 773-4번지서울특별시 광진구 자양로19길 71 (자양동)<NA>새연육가공2008-04-16 13:31:57I2018-08-31 23:59:59.0<NA>206953.892405448449.389726식육포장처리업식육포장처리업<NA>000<NA>
8304000030400000042004000720041122<NA>3폐업2폐업20090930<NA><NA><NA>455-99150.0<NA>서울특별시 광진구 자양동 603번지서울특별시 광진구 자양번영로6길 26 (자양동)<NA>한우리유통2009-09-30 09:18:02I2018-08-31 23:59:59.0<NA>206732.0144447758.670052식육포장처리업식육포장처리업<NA>000<NA>
9304000030400000042004000920041129<NA>3폐업2폐업20071023<NA><NA><NA>446-73830.0<NA>서울특별시 광진구 자양동 229-45번지서울특별시 광진구 아차산로40길 33 (자양동)<NA>동창축산2007-10-23 16:32:05I2018-08-31 23:59:59.0<NA>206852.276708448223.60294식육포장처리업식육포장처리업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
26304000030400000042009000120090119<NA>3폐업2폐업20140110<NA><NA><NA><NA>0.0<NA>서울특별시 광진구 중곡동 616-8번지 1층서울특별시 광진구 동일로66길 34 (중곡동,1층)<NA>하나라이프2014-01-10 17:56:43I2018-08-31 23:59:59.0<NA>206715.892578450996.622476식육포장처리업식육포장처리업<NA>000<NA>
27304000030400000042009000320090120<NA>4취소/말소/만료/정지/중지3행정처분20220204<NA><NA><NA>02-456-9249284.75<NA>서울특별시 광진구 중곡동 40-8 2층서울특별시 광진구 긴고랑로 57 (중곡동,2층)<NA>돈사구2022-02-04 13:49:35U2022-02-06 02:40:00.0<NA>207246.646768451112.82705식육포장처리업식육포장처리업0L000
28304000030400000042009000520090320<NA>3폐업2폐업20141217<NA><NA><NA>02-498-1863312.4<NA>서울특별시 광진구 중곡동 166-17번지 지하1층서울특별시 광진구 능동로49길 10 (중곡동,지하1층)<NA>P&P제조전문유통회사2014-12-17 17:40:27I2018-08-31 23:59:59.0<NA>207251.976568451360.694186식육포장처리업식육포장처리업<NA>000<NA>
29304000030400001042010000120101118<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 광진구 중곡동 38-3번지서울특별시 광진구 용마산로21길 72 (중곡동)<NA>위드미트2010-11-18 18:33:54I2018-08-31 23:59:59.0<NA>207414.876746451055.823152식육포장처리업식육포장처리업<NA>000<NA>
30304000030400001042011000120111116<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 광진구 중곡동 120-24번지서울특별시 광진구 용마산로1길 32 (중곡동)4931(주)청풍에프앤비2017-09-13 09:15:03I2018-08-31 23:59:59.0<NA>207597.097102450339.651038식육포장처리업식육포장처리업<NA>L00<NA>
31304000030400001042011000220111229<NA>3폐업2폐업20120620<NA><NA><NA><NA>0.0<NA>서울특별시 광진구 중곡동 122-11번지서울특별시 광진구 용마산로3길 20 (중곡동)4924(주)해신푸드 중곡점2012-06-20 16:57:37I2018-08-31 23:59:59.0<NA>207606.312046450450.691463식육포장처리업식육포장처리업<NA>L00<NA>
32304000030400001042015000120150624<NA>3폐업2폐업20191001<NA><NA><NA><NA>0.0<NA>서울특별시 광진구 자양동 5-11번지 지하1층서울특별시 광진구 동일로18길 105, 지하 1층 (자양동)5073호호푸드2019-10-01 17:30:33U2019-10-03 02:40:00.0<NA>205983.644348448466.849834식육포장처리업식육포장처리업<NA>000<NA>
33304000030400001042015000220150811<NA>1영업/정상0정상<NA><NA><NA><NA>456-56240.0<NA>서울특별시 광진구 광장동 326-13 지하1층서울특별시 광진구 아차산로 612, 지하1층 (광장동)4969(주)승일축산2022-06-27 14:42:09U2021-12-05 22:09:00.0<NA>209367.991933449464.138001<NA><NA><NA><NA><NA>
3430400003040000104201600012016-10-18<NA>3폐업2폐업2023-08-23<NA><NA><NA><NA>0.0<NA>서울특별시 광진구 중곡동 193-1 1층서울특별시 광진구 능동로51길 37, 1층 (중곡동)4908부영미트2023-08-23 16:28:33U2022-12-07 22:05:00.0<NA>207189.726322451558.905826<NA><NA><NA><NA><NA>
35304000030400001042017000120170214<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 광진구 자양동 774-25번지 1층서울특별시 광진구 아차산로 329-1, 1층 (자양동)5027대성푸드2017-02-14 16:23:02I2018-08-31 23:59:59.0<NA>206967.052976448393.070683식육포장처리업식육포장처리업<NA>000<NA>