Overview

Dataset statistics

Number of variables30
Number of observations53
Missing cells310
Missing cells (%)19.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory256.5 B

Variable types

Categorical13
Numeric5
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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-18117/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (60.7%)Imbalance
영업상태명 is highly imbalanced (60.7%)Imbalance
상세영업상태코드 is highly imbalanced (60.7%)Imbalance
상세영업상태명 is highly imbalanced (60.7%)Imbalance
데이터갱신일자 is highly imbalanced (50.9%)Imbalance
업태구분명 is highly imbalanced (65.8%)Imbalance
축산일련번호 is highly imbalanced (86.5%)Imbalance
총인원 is highly imbalanced (86.5%)Imbalance
인허가취소일자 has 53 (100.0%) missing valuesMissing
폐업일자 has 5 (9.4%) missing valuesMissing
휴업시작일자 has 53 (100.0%) missing valuesMissing
휴업종료일자 has 53 (100.0%) missing valuesMissing
재개업일자 has 39 (73.6%) missing valuesMissing
전화번호 has 20 (37.7%) missing valuesMissing
소재지우편번호 has 53 (100.0%) missing valuesMissing
도로명주소 has 2 (3.8%) missing valuesMissing
도로명우편번호 has 30 (56.6%) missing valuesMissing
좌표정보(X) has 1 (1.9%) missing valuesMissing
좌표정보(Y) has 1 (1.9%) missing valuesMissing
관리번호 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 29 (54.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:23:29.011885
Analysis finished2024-05-11 06:23:29.790196
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
3150000
53 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 53
100.0%

Length

2024-05-11T15:23:29.904390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:30.065208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 53
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.15 × 1017
Minimum3.15 × 1017
Maximum3.15 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T15:23:30.272224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.15 × 1017
5-th percentile3.15 × 1017
Q13.15 × 1017
median3.15 × 1017
Q33.15 × 1017
95-th percentile3.15 × 1017
Maximum3.15 × 1017
Range300000
Interquartile range (IQR)99968

Descriptive statistics

Standard deviation62419.745
Coefficient of variation (CV)1.9815792 × 10-13
Kurtosis-0.37549724
Mean3.15 × 1017
Median Absolute Deviation (MAD)49984
Skewness0.057194477
Sum-1.7517441 × 1018
Variance3.8962245 × 109
MonotonicityStrictly increasing
2024-05-11T15:23:30.620091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
315000000419930001 1
 
1.9%
315000000420130003 1
 
1.9%
315000000420090003 1
 
1.9%
315000000420100001 1
 
1.9%
315000000420100002 1
 
1.9%
315000000420100003 1
 
1.9%
315000000420100004 1
 
1.9%
315000000420110001 1
 
1.9%
315000000420110002 1
 
1.9%
315000000420120001 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
315000000419930001 1
1.9%
315000000419970001 1
1.9%
315000000419990001 1
1.9%
315000000420000001 1
1.9%
315000000420000004 1
1.9%
315000000420010001 1
1.9%
315000000420010002 1
1.9%
315000000420010003 1
1.9%
315000000420020001 1
1.9%
315000000420020004 1
1.9%
ValueCountFrequency (%)
315000000420230001 1
1.9%
315000000420190002 1
1.9%
315000000420180001 1
1.9%
315000000420170002 1
1.9%
315000000420170001 1
1.9%
315000000420150003 1
1.9%
315000000420150002 1
1.9%
315000000420150001 1
1.9%
315000000420140002 1
1.9%
315000000420140001 1
1.9%

인허가일자
Date

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum1993-07-23 00:00:00
Maximum2023-09-01 00:00:00
2024-05-11T15:23:30.940935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:31.226537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
3
47 
4
 
3
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 47
88.7%
4 3
 
5.7%
1 3
 
5.7%

Length

2024-05-11T15:23:31.443743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:31.606536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 47
88.7%
4 3
 
5.7%
1 3
 
5.7%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
폐업
47 
취소/말소/만료/정지/중지
 
3
영업/정상
 
3

Length

Max length14
Median length2
Mean length2.8490566
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 47
88.7%
취소/말소/만료/정지/중지 3
 
5.7%
영업/정상 3
 
5.7%

Length

2024-05-11T15:23:31.804301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:32.036215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 47
88.7%
취소/말소/만료/정지/중지 3
 
5.7%
영업/정상 3
 
5.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
2
47 
4
 
3
0
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 47
88.7%
4 3
 
5.7%
0 3
 
5.7%

Length

2024-05-11T15:23:32.237224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:32.404066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 47
88.7%
4 3
 
5.7%
0 3
 
5.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
폐업
47 
말소
 
3
정상
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 47
88.7%
말소 3
 
5.7%
정상 3
 
5.7%

Length

2024-05-11T15:23:32.582370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:32.740851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 47
88.7%
말소 3
 
5.7%
정상 3
 
5.7%

폐업일자
Date

MISSING 

Distinct47
Distinct (%)97.9%
Missing5
Missing (%)9.4%
Memory size556.0 B
Minimum2003-01-02 00:00:00
Maximum2023-08-17 00:00:00
2024-05-11T15:23:32.922730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:33.184732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

재개업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing39
Missing (%)73.6%
Memory size556.0 B
Minimum2016-09-05 00:00:00
Maximum2023-08-17 00:00:00
2024-05-11T15:23:33.378687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:33.566499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

전화번호
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing20
Missing (%)37.7%
Memory size556.0 B
2024-05-11T15:23:33.876816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length9
Mean length9.6969697
Min length8

Characters and Unicode

Total characters320
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row2608-6653~4
2nd row2666-1206
3rd row2604-8023
4th row2662-7955
5th row3665-8819
ValueCountFrequency (%)
2661-7051 1
 
3.0%
02-2666-1588 1
 
3.0%
2666-0131 1
 
3.0%
2697-6623 1
 
3.0%
3664-6278 1
 
3.0%
2666-9454 1
 
3.0%
2065-7502 1
 
3.0%
2668-2018 1
 
3.0%
2665-7773 1
 
3.0%
2666-6765 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T15:23:34.371513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 68
21.2%
2 41
12.8%
- 39
12.2%
3 29
9.1%
5 27
 
8.4%
0 24
 
7.5%
8 23
 
7.2%
7 21
 
6.6%
9 16
 
5.0%
4 16
 
5.0%
Other values (3) 16
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 279
87.2%
Dash Punctuation 39
 
12.2%
Other Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 68
24.4%
2 41
14.7%
3 29
10.4%
5 27
 
9.7%
0 24
 
8.6%
8 23
 
8.2%
7 21
 
7.5%
9 16
 
5.7%
4 16
 
5.7%
1 14
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 68
21.2%
2 41
12.8%
- 39
12.2%
3 29
9.1%
5 27
 
8.4%
0 24
 
7.5%
8 23
 
7.2%
7 21
 
6.6%
9 16
 
5.0%
4 16
 
5.0%
Other values (3) 16
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 68
21.2%
2 41
12.8%
- 39
12.2%
3 29
9.1%
5 27
 
8.4%
0 24
 
7.5%
8 23
 
7.2%
7 21
 
6.6%
9 16
 
5.0%
4 16
 
5.0%
Other values (3) 16
 
5.0%

소재지면적
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.406604
Minimum0
Maximum1532.9
Zeros29
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T15:23:34.564834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q385
95-th percentile381.072
Maximum1532.9
Range1532.9
Interquartile range (IQR)85

Descriptive statistics

Standard deviation241.60067
Coefficient of variation (CV)2.4803315
Kurtosis24.898001
Mean97.406604
Median Absolute Deviation (MAD)0
Skewness4.6151181
Sum5162.55
Variance58370.882
MonotonicityNot monotonic
2024-05-11T15:23:35.056006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 29
54.7%
39.79 1
 
1.9%
85.0 1
 
1.9%
106.56 1
 
1.9%
330.0 1
 
1.9%
26.22 1
 
1.9%
346.88 1
 
1.9%
168.9 1
 
1.9%
176.2 1
 
1.9%
169.0 1
 
1.9%
Other values (15) 15
28.3%
ValueCountFrequency (%)
0.0 29
54.7%
22.68 1
 
1.9%
26.22 1
 
1.9%
38.66 1
 
1.9%
39.79 1
 
1.9%
47.55 1
 
1.9%
49.92 1
 
1.9%
53.7 1
 
1.9%
58.16 1
 
1.9%
65.8 1
 
1.9%
ValueCountFrequency (%)
1532.9 1
1.9%
733.52 1
1.9%
432.36 1
1.9%
346.88 1
1.9%
330.0 1
1.9%
234.0 1
1.9%
176.2 1
1.9%
169.0 1
1.9%
168.9 1
1.9%
149.94 1
1.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

지번주소
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-05-11T15:23:35.401543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length23.45283
Min length14

Characters and Unicode

Total characters1243
Distinct characters57
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

Unique51 ?
Unique (%)96.2%

Sample

1st row서울특별시 강서구 화곡동 1071-19번지
2nd row서울특별시 강서구 내발산동 700번지 (지층)
3rd row서울특별시 강서구 화곡동 1047-5번지 1층
4th row서울특별시 강서구 내발산동 688번지
5th row서울특별시 강서구 염창동 242-31번지
ValueCountFrequency (%)
서울특별시 53
22.8%
강서구 53
22.8%
화곡동 13
 
5.6%
방화동 11
 
4.7%
공항동 10
 
4.3%
1층 8
 
3.4%
등촌동 8
 
3.4%
내발산동 5
 
2.2%
지하1층 3
 
1.3%
가양동 2
 
0.9%
Other values (62) 66
28.4%
2024-05-11T15:23:35.872131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
18.1%
서 106
 
8.5%
1 66
 
5.3%
동 54
 
4.3%
특 53
 
4.3%
별 53
 
4.3%
시 53
 
4.3%
강 53
 
4.3%
구 53
 
4.3%
울 53
 
4.3%
Other values (47) 474
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 707
56.9%
Decimal Number 259
 
20.8%
Space Separator 225
 
18.1%
Dash Punctuation 48
 
3.9%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 106
15.0%
동 54
 
7.6%
특 53
 
7.5%
별 53
 
7.5%
시 53
 
7.5%
강 53
 
7.5%
구 53
 
7.5%
울 53
 
7.5%
지 44
 
6.2%
번 38
 
5.4%
Other values (31) 147
20.8%
Decimal Number
ValueCountFrequency (%)
1 66
25.5%
6 36
13.9%
3 28
10.8%
5 24
 
9.3%
7 22
 
8.5%
8 20
 
7.7%
2 19
 
7.3%
0 19
 
7.3%
9 13
 
5.0%
4 12
 
4.6%
Space Separator
ValueCountFrequency (%)
225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 707
56.9%
Common 534
43.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 106
15.0%
동 54
 
7.6%
특 53
 
7.5%
별 53
 
7.5%
시 53
 
7.5%
강 53
 
7.5%
구 53
 
7.5%
울 53
 
7.5%
지 44
 
6.2%
번 38
 
5.4%
Other values (31) 147
20.8%
Common
ValueCountFrequency (%)
225
42.1%
1 66
 
12.4%
- 48
 
9.0%
6 36
 
6.7%
3 28
 
5.2%
5 24
 
4.5%
7 22
 
4.1%
8 20
 
3.7%
2 19
 
3.6%
0 19
 
3.6%
Other values (4) 27
 
5.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
b 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 707
56.9%
ASCII 536
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
42.0%
1 66
 
12.3%
- 48
 
9.0%
6 36
 
6.7%
3 28
 
5.2%
5 24
 
4.5%
7 22
 
4.1%
8 20
 
3.7%
2 19
 
3.5%
0 19
 
3.5%
Other values (6) 29
 
5.4%
Hangul
ValueCountFrequency (%)
서 106
15.0%
동 54
 
7.6%
특 53
 
7.5%
별 53
 
7.5%
시 53
 
7.5%
강 53
 
7.5%
구 53
 
7.5%
울 53
 
7.5%
지 44
 
6.2%
번 38
 
5.4%
Other values (31) 147
20.8%

도로명주소
Text

MISSING 

Distinct50
Distinct (%)98.0%
Missing2
Missing (%)3.8%
Memory size556.0 B
2024-05-11T15:23:36.292269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length27.176471
Min length23

Characters and Unicode

Total characters1386
Distinct characters82
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

Unique49 ?
Unique (%)96.1%

Sample

1st row서울특별시 강서구 화곡로18길 24 (화곡동)
2nd row서울특별시 강서구 강서로47길 19 (내발산동,(지층))
3rd row서울특별시 강서구 화곡로21길 35 (화곡동,1층)
4th row서울특별시 강서구 강서로47마길 3 (내발산동)
5th row서울특별시 강서구 양천로65길 22 (염창동)
ValueCountFrequency (%)
서울특별시 51
19.0%
강서구 51
19.0%
방화동 11
 
4.1%
화곡동 11
 
4.1%
공항동 8
 
3.0%
등촌동 7
 
2.6%
1층 6
 
2.2%
양천로26길 3
 
1.1%
내발산동 3
 
1.1%
양천로49길 2
 
0.7%
Other values (101) 116
43.1%
2024-05-11T15:23:37.172669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
218
 
15.7%
서 108
 
7.8%
강 57
 
4.1%
동 54
 
3.9%
로 53
 
3.8%
) 52
 
3.8%
( 52
 
3.8%
구 51
 
3.7%
시 51
 
3.7%
별 51
 
3.7%
Other values (72) 639
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 835
60.2%
Space Separator 218
 
15.7%
Decimal Number 202
 
14.6%
Close Punctuation 52
 
3.8%
Open Punctuation 52
 
3.8%
Other Punctuation 19
 
1.4%
Dash Punctuation 6
 
0.4%
Uppercase Letter 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 108
12.9%
강 57
 
6.8%
동 54
 
6.5%
로 53
 
6.3%
구 51
 
6.1%
시 51
 
6.1%
별 51
 
6.1%
특 51
 
6.1%
울 51
 
6.1%
화 41
 
4.9%
Other values (55) 267
32.0%
Decimal Number
ValueCountFrequency (%)
1 47
23.3%
2 29
14.4%
6 25
12.4%
5 20
9.9%
3 17
 
8.4%
4 14
 
6.9%
7 13
 
6.4%
0 13
 
6.4%
8 12
 
5.9%
9 12
 
5.9%
Space Separator
ValueCountFrequency (%)
218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 835
60.2%
Common 549
39.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 108
12.9%
강 57
 
6.8%
동 54
 
6.5%
로 53
 
6.3%
구 51
 
6.1%
시 51
 
6.1%
별 51
 
6.1%
특 51
 
6.1%
울 51
 
6.1%
화 41
 
4.9%
Other values (55) 267
32.0%
Common
ValueCountFrequency (%)
218
39.7%
) 52
 
9.5%
( 52
 
9.5%
1 47
 
8.6%
2 29
 
5.3%
6 25
 
4.6%
5 20
 
3.6%
, 19
 
3.5%
3 17
 
3.1%
4 14
 
2.6%
Other values (5) 56
 
10.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
b 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 835
60.2%
ASCII 551
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
218
39.6%
) 52
 
9.4%
( 52
 
9.4%
1 47
 
8.5%
2 29
 
5.3%
6 25
 
4.5%
5 20
 
3.6%
, 19
 
3.4%
3 17
 
3.1%
4 14
 
2.5%
Other values (7) 58
 
10.5%
Hangul
ValueCountFrequency (%)
서 108
12.9%
강 57
 
6.8%
동 54
 
6.5%
로 53
 
6.3%
구 51
 
6.1%
시 51
 
6.1%
별 51
 
6.1%
특 51
 
6.1%
울 51
 
6.1%
화 41
 
4.9%
Other values (55) 267
32.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)82.6%
Missing30
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean7637.9565
Minimum7523
Maximum7787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T15:23:37.412740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7523
5-th percentile7551
Q17598.5
median7620
Q37653.5
95-th percentile7762
Maximum7787
Range264
Interquartile range (IQR)55

Descriptive statistics

Standard deviation70.664044
Coefficient of variation (CV)0.009251695
Kurtosis-0.1033002
Mean7637.9565
Median Absolute Deviation (MAD)27
Skewness0.70313597
Sum175673
Variance4993.4071
MonotonicityNot monotonic
2024-05-11T15:23:37.646823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
7645 2
 
3.8%
7762 2
 
3.8%
7551 2
 
3.8%
7612 2
 
3.8%
7593 1
 
1.9%
7716 1
 
1.9%
7614 1
 
1.9%
7627 1
 
1.9%
7572 1
 
1.9%
7620 1
 
1.9%
Other values (9) 9
 
17.0%
(Missing) 30
56.6%
ValueCountFrequency (%)
7523 1
1.9%
7551 2
3.8%
7572 1
1.9%
7591 1
1.9%
7593 1
1.9%
7604 1
1.9%
7607 1
1.9%
7612 2
3.8%
7614 1
1.9%
7620 1
1.9%
ValueCountFrequency (%)
7787 1
1.9%
7762 2
3.8%
7731 1
1.9%
7716 1
1.9%
7662 1
1.9%
7645 2
3.8%
7644 1
1.9%
7642 1
1.9%
7627 1
1.9%
7620 1
1.9%

사업장명
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-05-11T15:23:38.055881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length6.4150943
Min length2

Characters and Unicode

Total characters340
Distinct characters129
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

Unique51 ?
Unique (%)96.2%

Sample

1st row(주)신복종합식품
2nd row해드람
3rd row(주)미트밴
4th row상록식품
5th row서정식품
ValueCountFrequency (%)
주식회사 3
 
4.9%
방주유통 2
 
3.3%
순흥 1
 
1.6%
주)오른푸드시스템 1
 
1.6%
조가대인 1
 
1.6%
청록원 1
 
1.6%
주)참살이푸드 1
 
1.6%
한얼푸드 1
 
1.6%
성심 1
 
1.6%
f&s 1
 
1.6%
Other values (48) 48
78.7%
2024-05-11T15:23:38.778715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
7.9%
( 23
 
6.8%
) 23
 
6.8%
드 13
 
3.8%
푸 12
 
3.5%
식 10
 
2.9%
8
 
2.4%
이 7
 
2.1%
유 6
 
1.8%
통 6
 
1.8%
Other values (119) 205
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
80.6%
Open Punctuation 23
 
6.8%
Close Punctuation 23
 
6.8%
Space Separator 8
 
2.4%
Decimal Number 5
 
1.5%
Lowercase Letter 3
 
0.9%
Uppercase Letter 3
 
0.9%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
9.9%
드 13
 
4.7%
푸 12
 
4.4%
식 10
 
3.6%
이 7
 
2.6%
유 6
 
2.2%
통 6
 
2.2%
축 5
 
1.8%
미 5
 
1.8%
스 5
 
1.8%
Other values (106) 178
65.0%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
6 1
20.0%
1 1
20.0%
3 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
B 1
33.3%
S 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
f 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
80.6%
Common 60
 
17.6%
Latin 6
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
9.9%
드 13
 
4.7%
푸 12
 
4.4%
식 10
 
3.6%
이 7
 
2.6%
유 6
 
2.2%
통 6
 
2.2%
축 5
 
1.8%
미 5
 
1.8%
스 5
 
1.8%
Other values (106) 178
65.0%
Common
ValueCountFrequency (%)
( 23
38.3%
) 23
38.3%
8
 
13.3%
0 2
 
3.3%
6 1
 
1.7%
1 1
 
1.7%
& 1
 
1.7%
3 1
 
1.7%
Latin
ValueCountFrequency (%)
e 2
33.3%
F 1
16.7%
B 1
16.7%
f 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
80.6%
ASCII 66
 
19.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
9.9%
드 13
 
4.7%
푸 12
 
4.4%
식 10
 
3.6%
이 7
 
2.6%
유 6
 
2.2%
통 6
 
2.2%
축 5
 
1.8%
미 5
 
1.8%
스 5
 
1.8%
Other values (106) 178
65.0%
ASCII
ValueCountFrequency (%)
( 23
34.8%
) 23
34.8%
8
 
12.1%
0 2
 
3.0%
e 2
 
3.0%
6 1
 
1.5%
1 1
 
1.5%
& 1
 
1.5%
F 1
 
1.5%
B 1
 
1.5%
Other values (3) 3
 
4.5%

최종수정일자
Date

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2003-01-10 11:49:06
Maximum2023-09-01 11:24:11
2024-05-11T15:23:39.107469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:39.360569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
I
39 
U
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 39
73.6%
U 14
 
26.4%

Length

2024-05-11T15:23:39.596981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:39.793943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
73.6%
u 14
 
26.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct16
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2018-08-31 23:59:59.0
38 
2021-07-23 02:40:00.0
 
1
2021-03-13 02:40:00.0
 
1
2020-11-20 02:40:00.0
 
1
2020-12-24 02:40:00.0
 
1
Other values (11)
11 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique15 ?
Unique (%)28.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 38
71.7%
2021-07-23 02:40:00.0 1
 
1.9%
2021-03-13 02:40:00.0 1
 
1.9%
2020-11-20 02:40:00.0 1
 
1.9%
2020-12-24 02:40:00.0 1
 
1.9%
2022-12-01 22:05:00.0 1
 
1.9%
2020-02-28 02:40:00.0 1
 
1.9%
2022-12-01 23:05:00.0 1
 
1.9%
2022-12-04 00:01:00.0 1
 
1.9%
2021-06-25 02:40:00.0 1
 
1.9%
Other values (6) 6
 
11.3%

Length

2024-05-11T15:23:40.042190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 38
35.8%
23:59:59.0 38
35.8%
02:40:00.0 9
 
8.5%
2022-12-01 2
 
1.9%
2021-06-25 1
 
0.9%
2022-12-09 1
 
0.9%
2020-08-27 1
 
0.9%
23:09:00.0 1
 
0.9%
2022-12-07 1
 
0.9%
2020-11-14 1
 
0.9%
Other values (13) 13
 
12.3%

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
식육가공업
48 
유가공업
 
3
알가공업
 
2

Length

Max length5
Median length5
Mean length4.9056604
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육가공업
2nd row식육가공업
3rd row식육가공업
4th row식육가공업
5th row알가공업

Common Values

ValueCountFrequency (%)
식육가공업 48
90.6%
유가공업 3
 
5.7%
알가공업 2
 
3.8%

Length

2024-05-11T15:23:40.272722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:40.474655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 48
90.6%
유가공업 3
 
5.7%
알가공업 2
 
3.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)96.2%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean185252.35
Minimum182830.37
Maximum188844.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T15:23:40.722538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182830.37
5-th percentile183055.62
Q1183799.79
median185334.29
Q3186863.47
95-th percentile188033.25
Maximum188844.99
Range6014.6165
Interquartile range (IQR)3063.6735

Descriptive statistics

Standard deviation1713.6389
Coefficient of variation (CV)0.0092502954
Kurtosis-1.1460428
Mean185252.35
Median Absolute Deviation (MAD)1541.7038
Skewness0.36010321
Sum9633122
Variance2936558.3
MonotonicityNot monotonic
2024-05-11T15:23:41.052954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183311.359819791 2
 
3.8%
186903.554606002 2
 
3.8%
185384.322720871 1
 
1.9%
182995.661327756 1
 
1.9%
183559.445629961 1
 
1.9%
185566.38894215 1
 
1.9%
183812.209641887 1
 
1.9%
183872.535394441 1
 
1.9%
183607.978934835 1
 
1.9%
183897.059635538 1
 
1.9%
Other values (40) 40
75.5%
ValueCountFrequency (%)
182830.370717987 1
1.9%
182910.321027025 1
1.9%
182995.661327756 1
1.9%
183104.683616607 1
1.9%
183166.021987298 1
1.9%
183311.359819791 2
3.8%
183398.86411064 1
1.9%
183536.890888325 1
1.9%
183559.445629961 1
1.9%
183607.978934835 1
1.9%
ValueCountFrequency (%)
188844.987211885 1
1.9%
188153.507549647 1
1.9%
188040.096652549 1
1.9%
188027.655387324 1
1.9%
187727.758706201 1
1.9%
187725.107808052 1
1.9%
187717.026139694 1
1.9%
187701.852157255 1
1.9%
187160.665637183 1
1.9%
187086.37257994 1
1.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)96.2%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean450334.52
Minimum447398.2
Maximum452286.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T15:23:41.396531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447398.2
5-th percentile447780.39
Q1449742.91
median450371.02
Q3451565.27
95-th percentile452262.48
Maximum452286.26
Range4888.0616
Interquartile range (IQR)1822.3532

Descriptive statistics

Standard deviation1362.4446
Coefficient of variation (CV)0.0030254055
Kurtosis-0.44077301
Mean450334.52
Median Absolute Deviation (MAD)861.84561
Skewness-0.4441258
Sum23417395
Variance1856255.2
MonotonicityNot monotonic
2024-05-11T15:23:41.719157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452096.514044913 2
 
3.8%
447398.196837221 2
 
3.8%
448552.124723353 1
 
1.9%
451204.056363713 1
 
1.9%
451015.664673301 1
 
1.9%
450307.59522532 1
 
1.9%
450265.339182316 1
 
1.9%
450365.986631415 1
 
1.9%
450448.209530191 1
 
1.9%
450376.055897647 1
 
1.9%
Other values (40) 40
75.5%
ValueCountFrequency (%)
447398.196837221 2
3.8%
447737.778609237 1
1.9%
447815.251576342 1
1.9%
448312.700882575 1
1.9%
448339.279243117 1
1.9%
448407.64875222 1
1.9%
448552.124723353 1
1.9%
448562.567348407 1
1.9%
448920.021239558 1
1.9%
449172.117589125 1
1.9%
ValueCountFrequency (%)
452286.258452633 1
1.9%
452267.450544749 1
1.9%
452262.7871049 1
1.9%
452262.236128508 1
1.9%
452260.798514601 1
1.9%
452096.514044913 2
3.8%
452007.480315664 1
1.9%
451980.435946359 1
1.9%
451855.852683718 1
1.9%
451650.055066907 1
1.9%

축산업무구분명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
축산물가공업
47 
<NA>
6 

Length

Max length6
Median length6
Mean length5.7735849
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 47
88.7%
<NA> 6
 
11.3%

Length

2024-05-11T15:23:41.981016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:42.178031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 47
88.7%
na 6
 
11.3%

축산물가공업구분명
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
식육가공업
42 
<NA>
6 
유가공업
 
3
알가공업
 
2

Length

Max length5
Median length5
Mean length4.7924528
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육가공업
2nd row식육가공업
3rd row식육가공업
4th row식육가공업
5th row알가공업

Common Values

ValueCountFrequency (%)
식육가공업 42
79.2%
<NA> 6
 
11.3%
유가공업 3
 
5.7%
알가공업 2
 
3.8%

Length

2024-05-11T15:23:42.387460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:42.585332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 42
79.2%
na 6
 
11.3%
유가공업 3
 
5.7%
알가공업 2
 
3.8%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
52 
0
 
1

Length

Max length4
Median length4
Mean length3.9433962
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
98.1%
0 1
 
1.9%

Length

2024-05-11T15:23:42.828542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:43.039995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
98.1%
0 1
 
1.9%

권리주체일련번호
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
000
24 
L00
22 
<NA>
6 
L01
 
1

Length

Max length4
Median length3
Mean length3.1132075
Min length3

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
000 24
45.3%
L00 22
41.5%
<NA> 6
 
11.3%
L01 1
 
1.9%

Length

2024-05-11T15:23:43.256187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:43.464126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 24
45.3%
l00 22
41.5%
na 6
 
11.3%
l01 1
 
1.9%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
52 
0
 
1

Length

Max length4
Median length4
Mean length3.9433962
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
98.1%
0 1
 
1.9%

Length

2024-05-11T15:23:43.773526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:44.042802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
98.1%
0 1
 
1.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0315000031500000041993000119930723<NA>3폐업2폐업20040720<NA><NA><NA>2608-6653~40.0<NA>서울특별시 강서구 화곡동 1071-19번지서울특별시 강서구 화곡로18길 24 (화곡동)<NA>(주)신복종합식품2004-07-20 16:17:37I2018-08-31 23:59:59.0식육가공업185384.322721448552.124723축산물가공업식육가공업<NA>L00<NA>
1315000031500000041997000119971213<NA>3폐업2폐업20050602<NA><NA><NA>2666-12060.0<NA>서울특별시 강서구 내발산동 700번지 (지층)서울특별시 강서구 강서로47길 19 (내발산동,(지층))<NA>해드람2005-06-02 13:54:36I2018-08-31 23:59:59.0식육가공업185359.452822450031.249165축산물가공업식육가공업<NA>000<NA>
2315000031500000041999000119990920<NA>3폐업2폐업20070710<NA><NA><NA>2604-802339.79<NA>서울특별시 강서구 화곡동 1047-5번지 1층서울특별시 강서구 화곡로21길 35 (화곡동,1층)<NA>(주)미트밴2007-07-10 13:47:59I2018-08-31 23:59:59.0식육가공업185481.170113448920.02124축산물가공업식육가공업<NA>L00<NA>
3315000031500000042000000120000426<NA>3폐업2폐업20040127<NA><NA><NA>2662-79550.0<NA>서울특별시 강서구 내발산동 688번지서울특별시 강서구 강서로47마길 3 (내발산동)<NA>상록식품2004-01-27 17:11:01I2018-08-31 23:59:59.0식육가공업185001.284464450095.804194축산물가공업식육가공업<NA>000<NA>
4315000031500000042000000420001120<NA>3폐업2폐업20030102<NA><NA><NA>3665-88190.0<NA>서울특별시 강서구 염창동 242-31번지서울특별시 강서구 양천로65길 22 (염창동)<NA>서정식품2003-01-10 11:49:06I2018-08-31 23:59:59.0알가공업188153.50755450402.784194축산물가공업알가공업<NA>000<NA>
5315000031500000042001000120010321<NA>3폐업2폐업20100913<NA><NA><NA>2654-92930.0<NA>서울특별시 강서구 화곡동 797-1번지서울특별시 강서구 곰달래로57길 7 (화곡동)<NA>방주유통2010-09-13 13:19:51I2018-08-31 23:59:59.0식육가공업187701.852157447815.251576축산물가공업식육가공업<NA>000<NA>
6315000031500000042001000220010204<NA>3폐업2폐업20130912<NA><NA><NA>2657-7153733.52<NA>서울특별시 강서구 등촌동 631-5번지서울특별시 강서구 양천로 570 (등촌동)7551서울축협경제사업본부(급식)2013-09-12 11:00:58I2018-08-31 23:59:59.0식육가공업187727.758706450500.126507축산물가공업식육가공업<NA>L00<NA>
7315000031500000042001000320011130<NA>3폐업2폐업20130905<NA><NA><NA><NA>0.0<NA>서울특별시 강서구 방화동 564-85번지서울특별시 강서구 금낭화로 62 (방화동)<NA>마그마유통2013-09-05 17:53:51I2018-08-31 23:59:59.0식육가공업183311.35982452096.514045축산물가공업식육가공업<NA>000<NA>
8315000031500000042002000120021209<NA>3폐업2폐업20030804<NA><NA><NA>668-48580.0<NA>서울특별시 강서구 등촌동 628-9번지서울특별시 강서구 화곡로 416 (등촌동)<NA>(주)에이치제이에프2003-08-04 17:35:16I2018-08-31 23:59:59.0식육가공업187160.665637450873.017067축산물가공업식육가공업<NA>L00<NA>
9315000031500000042002000420021209<NA>3폐업2폐업20031128<NA><NA><NA><NA>65.8<NA>서울특별시 강서구 등촌동 633-17번지서울특별시 강서구 양천로66길 23 (등촌동)<NA>(주)예술을하는사람들2003-11-28 16:08:55I2018-08-31 23:59:59.0식육가공업188027.655387450190.359246축산물가공업식육가공업<NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
4331500003150000004201400012014-07-02<NA>3폐업2폐업2023-03-30<NA><NA>2023-03-30<NA>106.56<NA>서울특별시 강서구 방화동 575-20서울특별시 강서구 양천로18길 15 (방화동)7604주식회사 축심푸드2023-03-29 11:31:01U2022-12-04 00:01:00.0식육가공업183398.864111452286.258453<NA><NA><NA><NA><NA>
44315000031500000042014000220140811<NA>3폐업2폐업20150427<NA><NA><NA><NA>0.0<NA>서울특별시 강서구 화곡동 960-1번지서울특별시 강서구 까치산로20가길 22 (화곡동)7662장석군푸드2015-04-27 15:10:55I2018-08-31 23:59:59.0알가공업186850.102479449613.182529축산물가공업알가공업<NA>000<NA>
45315000031500000042015000120150204<NA>3폐업2폐업20161110<NA><NA>20161110<NA>0.0<NA>서울특별시 강서구 방화동 564-85번지서울특별시 강서구 금낭화로 62 (방화동)7607방주유통2016-11-11 11:27:38I2018-08-31 23:59:59.0식육가공업183311.35982452096.514045축산물가공업식육가공업<NA>000<NA>
46315000031500000042015000220150304<NA>1영업/정상0정상<NA><NA><NA><NA>325-08640.0<NA>서울특별시 강서구 화곡동 476-39 1층서울특별시 강서구 등촌로13자길 64-10 (화곡동, 1층)7731주식회사 오플로2021-06-23 16:42:09U2021-06-25 02:40:00.0유가공업187034.376211448407.648752축산물가공업유가공업<NA>L00<NA>
4731500003150000004201500032015-05-06<NA>3폐업2폐업2023-03-17<NA><NA>2023-03-17<NA>0.0<NA>서울특별시 강서구 등촌동 667-11 1층서울특별시 강서구 강서로54길 103, 1층 (등촌동)7591(주)둘레2023-03-17 09:55:23U2022-12-02 22:00:00.0식육가공업186184.759906450729.000208<NA><NA><NA><NA><NA>
48315000031500000042017000120170116<NA>3폐업2폐업20210609<NA><NA>2021060902-715-09100.0<NA>서울특별시 강서구 가양동 155-8 지하1층서울특별시 강서구 양천로49길 4, 지하1층 (가양동)7523(주)한백년 땡구치킨2021-06-09 13:27:34U2021-06-11 02:40:00.0식육가공업185894.058831451855.852684축산물가공업식육가공업<NA>L00<NA>
49315000031500000042017000220170511<NA>3폐업2폐업20201112<NA><NA>20201112<NA>85.0<NA>서울특별시 강서구 공항동 1363-5 1층서울특별시 강서구 방화대로6가길 12, 1층 (공항동)7645식스텐 비프(610 Beef)2020-11-12 15:08:30U2020-11-14 02:40:00.0식육가공업183747.58450252.88축산물가공업식육가공업<NA>L00<NA>
5031500003150000004201800012018-01-10<NA>3폐업2폐업2023-08-17<NA><NA>2023-08-17<NA>0.0<NA>서울특별시 강서구 방화동 647-21 1층서울특별시 강서구 초원로6길 28, 1층 (방화동)7612공항축산2023-08-17 09:30:41U2022-12-07 23:09:00.0식육가공업182910.321027451602.245456<NA><NA><NA><NA><NA>
51315000031500000042019000220190523<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강서구 화곡동 371-33 우성테마빌서울특별시 강서구 가로공원로 196, 102호 (화곡동, 우성테마빌)7762(주)미트302020-08-25 17:11:50U2020-08-27 02:40:00.0식육가공업185586.777988448312.700883축산물가공업식육가공업<NA>L00<NA>
5231500003150000004202300012023-09-01<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강서구 화곡동 368-32 b01호서울특별시 강서구 가로공원로 208, b01호 (화곡동)7762삼부자푸드 주식회사2023-09-01 11:24:11I2022-12-09 00:03:00.0식육가공업185714.171293448339.279243<NA><NA><NA><NA><NA>