Overview

Dataset statistics

Number of variables30
Number of observations80
Missing cells378
Missing cells (%)15.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.0 KiB
Average record size in memory255.7 B

Variable types

Categorical14
Numeric5
DateTime5
Unsupported2
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-18126/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (56.1%)Imbalance
영업상태명 is highly imbalanced (56.1%)Imbalance
상세영업상태코드 is highly imbalanced (60.4%)Imbalance
상세영업상태명 is highly imbalanced (60.4%)Imbalance
휴업시작일자 is highly imbalanced (90.3%)Imbalance
휴업종료일자 is highly imbalanced (90.3%)Imbalance
업태구분명 is highly imbalanced (83.1%)Imbalance
축산물가공업구분명 is highly imbalanced (53.3%)Imbalance
축산일련번호 is highly imbalanced (83.1%)Imbalance
총인원 is highly imbalanced (83.1%)Imbalance
인허가취소일자 has 80 (100.0%) missing valuesMissing
폐업일자 has 14 (17.5%) missing valuesMissing
재개업일자 has 67 (83.8%) missing valuesMissing
전화번호 has 17 (21.2%) missing valuesMissing
소재지우편번호 has 80 (100.0%) missing valuesMissing
지번주소 has 2 (2.5%) missing valuesMissing
도로명주소 has 56 (70.0%) missing valuesMissing
도로명우편번호 has 56 (70.0%) missing valuesMissing
좌표정보(X) has 3 (3.8%) missing valuesMissing
좌표정보(Y) has 3 (3.8%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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 30 (37.5%) zerosZeros

Reproduction

Analysis started2024-04-29 19:36:51.532992
Analysis finished2024-04-29 19:36:52.221115
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
3240000
80 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 80
100.0%

Length

2024-04-30T04:36:52.282896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:52.357057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 80
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.24 × 1017
Minimum3.24 × 1017
Maximum3.24 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:36:52.462898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.24 × 1017
5-th percentile3.24 × 1017
Q13.24 × 1017
median3.24 × 1017
Q33.24 × 1017
95-th percentile3.24 × 1017
Maximum3.24 × 1017
Range220000
Interquartile range (IQR)94976

Descriptive statistics

Standard deviation62036.148
Coefficient of variation (CV)1.9146959 × 10-13
Kurtosis-0.75945703
Mean3.24 × 1017
Median Absolute Deviation (MAD)35008
Skewness0.70651741
Sum7.473256 × 1018
Variance3.8484836 × 109
MonotonicityStrictly increasing
2024-04-30T04:36:52.581739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
324000000419990001 1
 
1.2%
324000000420050016 1
 
1.2%
324000000420110003 1
 
1.2%
324000000420110002 1
 
1.2%
324000000420110001 1
 
1.2%
324000000420100001 1
 
1.2%
324000000420090008 1
 
1.2%
324000000420090005 1
 
1.2%
324000000420090001 1
 
1.2%
324000000420080004 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
324000000419990001 1
1.2%
324000000419990002 1
1.2%
324000000419990003 1
1.2%
324000000420000001 1
1.2%
324000000420000002 1
1.2%
324000000420000003 1
1.2%
324000000420000005 1
1.2%
324000000420000006 1
1.2%
324000000420000007 1
1.2%
324000000420000008 1
1.2%
ValueCountFrequency (%)
324000000420210001 1
1.2%
324000000420200001 1
1.2%
324000000420190002 1
1.2%
324000000420190001 1
1.2%
324000000420180002 1
1.2%
324000000420180001 1
1.2%
324000000420170003 1
1.2%
324000000420170002 1
1.2%
324000000420170001 1
1.2%
324000000420160001 1
1.2%

인허가일자
Date

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum1999-09-30 00:00:00
Maximum2021-03-30 00:00:00
2024-04-30T04:36:52.688486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:36:52.820922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
3
66 
1
9 
4
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row3
2nd row2
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 66
82.5%
1 9
 
11.2%
4 4
 
5.0%
2 1
 
1.2%

Length

2024-04-30T04:36:52.933380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:53.013254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 66
82.5%
1 9
 
11.2%
4 4
 
5.0%
2 1
 
1.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
폐업
66 
영업/정상
9 
취소/말소/만료/정지/중지
 
4
휴업
 
1

Length

Max length14
Median length2
Mean length2.9375
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 66
82.5%
영업/정상 9
 
11.2%
취소/말소/만료/정지/중지 4
 
5.0%
휴업 1
 
1.2%

Length

2024-04-30T04:36:53.110558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:53.211676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 66
82.5%
영업/정상 9
 
11.2%
취소/말소/만료/정지/중지 4
 
5.0%
휴업 1
 
1.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
2
66 
0
9 
3
 
3
1
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 66
82.5%
0 9
 
11.2%
3 3
 
3.8%
1 1
 
1.2%
4 1
 
1.2%

Length

2024-04-30T04:36:53.296297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:53.392547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 66
82.5%
0 9
 
11.2%
3 3
 
3.8%
1 1
 
1.2%
4 1
 
1.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
폐업
66 
정상
9 
행정처분
 
3
휴업
 
1
말소
 
1

Length

Max length4
Median length2
Mean length2.075
Min length2

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 66
82.5%
정상 9
 
11.2%
행정처분 3
 
3.8%
휴업 1
 
1.2%
말소 1
 
1.2%

Length

2024-04-30T04:36:53.511843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:53.622170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 66
82.5%
정상 9
 
11.2%
행정처분 3
 
3.8%
휴업 1
 
1.2%
말소 1
 
1.2%

폐업일자
Date

MISSING 

Distinct62
Distinct (%)93.9%
Missing14
Missing (%)17.5%
Memory size772.0 B
Minimum2003-05-21 00:00:00
Maximum2024-01-30 00:00:00
2024-04-30T04:36:53.733410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:36:53.847547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
79 
20050101
 
1

Length

Max length8
Median length4
Mean length4.05
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row<NA>
2nd row20050101
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 79
98.8%
20050101 1
 
1.2%

Length

2024-04-30T04:36:53.960709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:54.044486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
98.8%
20050101 1
 
1.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
79 
20050630
 
1

Length

Max length8
Median length4
Mean length4.05
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row<NA>
2nd row20050630
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 79
98.8%
20050630 1
 
1.2%

Length

2024-04-30T04:36:54.134632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:54.229639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
98.8%
20050630 1
 
1.2%

재개업일자
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing67
Missing (%)83.8%
Memory size772.0 B
Minimum2017-02-09 00:00:00
Maximum2024-01-30 00:00:00
2024-04-30T04:36:54.318337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:36:54.421798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

전화번호
Text

MISSING 

Distinct62
Distinct (%)98.4%
Missing17
Missing (%)21.2%
Memory size772.0 B
2024-04-30T04:36:54.609581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.6825397
Min length8

Characters and Unicode

Total characters547
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st row474-2521
2nd row442-3364
3rd row3426-4794
4th row426-4114
5th row3426-1231
ValueCountFrequency (%)
426-7796 2
 
3.2%
426-2661 1
 
1.6%
02-476-9295 1
 
1.6%
474-2521 1
 
1.6%
424-3838 1
 
1.6%
486-2827 1
 
1.6%
475-7746 1
 
1.6%
487-6630 1
 
1.6%
478-1178 1
 
1.6%
442-7001 1
 
1.6%
Other values (52) 52
82.5%
2024-04-30T04:36:54.911593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 96
17.6%
- 73
13.3%
2 64
11.7%
7 57
10.4%
3 47
8.6%
6 46
8.4%
8 42
7.7%
0 42
7.7%
1 36
 
6.6%
9 22
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 474
86.7%
Dash Punctuation 73
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 96
20.3%
2 64
13.5%
7 57
12.0%
3 47
9.9%
6 46
9.7%
8 42
8.9%
0 42
8.9%
1 36
 
7.6%
9 22
 
4.6%
5 22
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 547
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 96
17.6%
- 73
13.3%
2 64
11.7%
7 57
10.4%
3 47
8.6%
6 46
8.4%
8 42
7.7%
0 42
7.7%
1 36
 
6.6%
9 22
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 96
17.6%
- 73
13.3%
2 64
11.7%
7 57
10.4%
3 47
8.6%
6 46
8.4%
8 42
7.7%
0 42
7.7%
1 36
 
6.6%
9 22
 
4.0%

소재지면적
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.0385
Minimum0
Maximum527.2
Zeros30
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:36:55.029430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41.9
Q385.78
95-th percentile308.9265
Maximum527.2
Range527.2
Interquartile range (IQR)85.78

Descriptive statistics

Standard deviation113.60187
Coefficient of variation (CV)1.5343621
Kurtosis6.1547465
Mean74.0385
Median Absolute Deviation (MAD)41.9
Skewness2.4451151
Sum5923.08
Variance12905.385
MonotonicityNot monotonic
2024-04-30T04:36:55.137937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
37.5%
79.04 1
 
1.2%
97.1 1
 
1.2%
288.0 1
 
1.2%
22.44 1
 
1.2%
49.41 1
 
1.2%
85.5 1
 
1.2%
40.3 1
 
1.2%
14.06 1
 
1.2%
65.75 1
 
1.2%
Other values (41) 41
51.2%
ValueCountFrequency (%)
0.0 30
37.5%
5.0 1
 
1.2%
14.06 1
 
1.2%
19.2 1
 
1.2%
21.22 1
 
1.2%
22.44 1
 
1.2%
35.42 1
 
1.2%
36.04 1
 
1.2%
39.6 1
 
1.2%
40.0 1
 
1.2%
ValueCountFrequency (%)
527.2 1
1.2%
493.38 1
1.2%
478.0 1
1.2%
336.98 1
1.2%
307.45 1
1.2%
288.0 1
1.2%
254.8 1
1.2%
241.0 1
1.2%
217.5 1
1.2%
180.0 1
1.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

지번주소
Text

MISSING 

Distinct75
Distinct (%)96.2%
Missing2
Missing (%)2.5%
Memory size772.0 B
2024-04-30T04:36:55.367793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length31
Mean length23.346154
Min length13

Characters and Unicode

Total characters1821
Distinct characters58
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

Unique72 ?
Unique (%)92.3%

Sample

1st row서울특별시 강동구 천호동 308번지
2nd row서울특별시 강동구 암사동 414-2번지 강동(아) 가상가지하
3rd row서울특별시 강동구 명일동 344-13번지 지하
4th row서울특별시 강동구 암사동 466-1번지
5th row서울특별시 강동구 상일동 282-1번지
ValueCountFrequency (%)
서울특별시 78
22.2%
강동구 78
22.2%
길동 16
 
4.5%
천호동 12
 
3.4%
성내동 11
 
3.1%
1층 10
 
2.8%
암사동 10
 
2.8%
상일동 10
 
2.8%
고덕동 7
 
2.0%
지하 7
 
2.0%
Other values (93) 113
32.1%
2024-04-30T04:36:55.728760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
341
18.7%
동 161
 
8.8%
서 81
 
4.4%
강 80
 
4.4%
울 80
 
4.4%
시 79
 
4.3%
특 78
 
4.3%
별 78
 
4.3%
구 78
 
4.3%
지 75
 
4.1%
Other values (48) 690
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1057
58.0%
Decimal Number 345
 
18.9%
Space Separator 341
 
18.7%
Dash Punctuation 69
 
3.8%
Other Punctuation 4
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 161
15.2%
서 81
 
7.7%
강 80
 
7.6%
울 80
 
7.6%
시 79
 
7.5%
특 78
 
7.4%
별 78
 
7.4%
구 78
 
7.4%
지 75
 
7.1%
번 61
 
5.8%
Other values (32) 206
19.5%
Decimal Number
ValueCountFrequency (%)
1 68
19.7%
4 57
16.5%
2 45
13.0%
3 40
11.6%
5 36
10.4%
9 25
 
7.2%
6 24
 
7.0%
8 20
 
5.8%
0 18
 
5.2%
7 12
 
3.5%
Space Separator
ValueCountFrequency (%)
341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1057
58.0%
Common 763
41.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 161
15.2%
서 81
 
7.7%
강 80
 
7.6%
울 80
 
7.6%
시 79
 
7.5%
특 78
 
7.4%
별 78
 
7.4%
구 78
 
7.4%
지 75
 
7.1%
번 61
 
5.8%
Other values (32) 206
19.5%
Common
ValueCountFrequency (%)
341
44.7%
- 69
 
9.0%
1 68
 
8.9%
4 57
 
7.5%
2 45
 
5.9%
3 40
 
5.2%
5 36
 
4.7%
9 25
 
3.3%
6 24
 
3.1%
8 20
 
2.6%
Other values (5) 38
 
5.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1057
58.0%
ASCII 764
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
341
44.6%
- 69
 
9.0%
1 68
 
8.9%
4 57
 
7.5%
2 45
 
5.9%
3 40
 
5.2%
5 36
 
4.7%
9 25
 
3.3%
6 24
 
3.1%
8 20
 
2.6%
Other values (6) 39
 
5.1%
Hangul
ValueCountFrequency (%)
동 161
15.2%
서 81
 
7.7%
강 80
 
7.6%
울 80
 
7.6%
시 79
 
7.5%
특 78
 
7.4%
별 78
 
7.4%
구 78
 
7.4%
지 75
 
7.1%
번 61
 
5.8%
Other values (32) 206
19.5%

도로명주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing56
Missing (%)70.0%
Memory size772.0 B
2024-04-30T04:36:55.913232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length30.75
Min length24

Characters and Unicode

Total characters738
Distinct characters70
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강동구 상암로11길 29 (암사동)
2nd row서울특별시 강동구 구천면로31길 39 (천호동)
3rd row서울특별시 강동구 고덕로61길 148, 지하1층 (고덕동)
4th row서울특별시 강동구 양재대로124길 32 (길동, 동서울오네뜨)
5th row서울특별시 강동구 올림픽로54길 19, 지하층 (성내동)
ValueCountFrequency (%)
서울특별시 24
16.6%
강동구 24
16.6%
지하1층 9
 
6.2%
1층 7
 
4.8%
천호동 5
 
3.4%
명일동 5
 
3.4%
성내동 5
 
3.4%
상암로 3
 
2.1%
암사동 3
 
2.1%
상일동 2
 
1.4%
Other values (52) 58
40.0%
2024-04-30T04:36:56.200466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
16.4%
동 53
 
7.2%
1 42
 
5.7%
서 26
 
3.5%
구 26
 
3.5%
강 25
 
3.4%
울 25
 
3.4%
특 24
 
3.3%
별 24
 
3.3%
시 24
 
3.3%
Other values (60) 348
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
58.7%
Space Separator 121
 
16.4%
Decimal Number 115
 
15.6%
Close Punctuation 24
 
3.3%
Open Punctuation 24
 
3.3%
Other Punctuation 20
 
2.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
 
12.2%
서 26
 
6.0%
구 26
 
6.0%
강 25
 
5.8%
울 25
 
5.8%
특 24
 
5.5%
별 24
 
5.5%
시 24
 
5.5%
로 23
 
5.3%
길 18
 
4.2%
Other values (45) 165
38.1%
Decimal Number
ValueCountFrequency (%)
1 42
36.5%
3 14
 
12.2%
2 12
 
10.4%
0 10
 
8.7%
5 8
 
7.0%
6 7
 
6.1%
9 7
 
6.1%
4 6
 
5.2%
8 6
 
5.2%
7 3
 
2.6%
Space Separator
ValueCountFrequency (%)
121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
58.7%
Common 305
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
 
12.2%
서 26
 
6.0%
구 26
 
6.0%
강 25
 
5.8%
울 25
 
5.8%
특 24
 
5.5%
별 24
 
5.5%
시 24
 
5.5%
로 23
 
5.3%
길 18
 
4.2%
Other values (45) 165
38.1%
Common
ValueCountFrequency (%)
121
39.7%
1 42
 
13.8%
) 24
 
7.9%
( 24
 
7.9%
, 20
 
6.6%
3 14
 
4.6%
2 12
 
3.9%
0 10
 
3.3%
5 8
 
2.6%
6 7
 
2.3%
Other values (5) 23
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
58.7%
ASCII 305
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
39.7%
1 42
 
13.8%
) 24
 
7.9%
( 24
 
7.9%
, 20
 
6.6%
3 14
 
4.6%
2 12
 
3.9%
0 10
 
3.3%
5 8
 
2.6%
6 7
 
2.3%
Other values (5) 23
 
7.5%
Hangul
ValueCountFrequency (%)
동 53
 
12.2%
서 26
 
6.0%
구 26
 
6.0%
강 25
 
5.8%
울 25
 
5.8%
특 24
 
5.5%
별 24
 
5.5%
시 24
 
5.5%
로 23
 
5.3%
길 18
 
4.2%
Other values (45) 165
38.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)91.7%
Missing56
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean10706.958
Minimum5227
Maximum134841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:36:56.497278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5227
5-th percentile5251.9
Q15269
median5305.5
Q35366
95-th percentile5400.1
Maximum134841
Range129614
Interquartile range (IQR)97

Descriptive statistics

Standard deviation26440.489
Coefficient of variation (CV)2.4694678
Kurtosis23.999799
Mean10706.958
Median Absolute Deviation (MAD)39
Skewness4.89895
Sum256967
Variance6.9909945 × 108
MonotonicityNot monotonic
2024-04-30T04:36:56.611144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5310 2
 
2.5%
5269 2
 
2.5%
5364 1
 
1.2%
5386 1
 
1.2%
5294 1
 
1.2%
5401 1
 
1.2%
5251 1
 
1.2%
5284 1
 
1.2%
5308 1
 
1.2%
5372 1
 
1.2%
Other values (12) 12
 
15.0%
(Missing) 56
70.0%
ValueCountFrequency (%)
5227 1
1.2%
5251 1
1.2%
5257 1
1.2%
5259 1
1.2%
5264 1
1.2%
5269 2
2.5%
5271 1
1.2%
5283 1
1.2%
5284 1
1.2%
5294 1
1.2%
ValueCountFrequency (%)
134841 1
1.2%
5401 1
1.2%
5395 1
1.2%
5386 1
1.2%
5385 1
1.2%
5372 1
1.2%
5364 1
1.2%
5338 1
1.2%
5326 1
1.2%
5310 2
2.5%

사업장명
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-30T04:36:56.828280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10.5
Mean length6.25
Min length3

Characters and Unicode

Total characters500
Distinct characters165
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)97.5%

Sample

1st row거성상사
2nd row(주)다모아축산
3rd row칠향식품
4th row한서종합농축(주)
5th row원식품
ValueCountFrequency (%)
푸드원 2
 
2.4%
델리미트 1
 
1.2%
삼성씨엔아이 1
 
1.2%
미마루에프앤씨 1
 
1.2%
신 1
 
1.2%
미스 1
 
1.2%
동구밖에프엔디 1
 
1.2%
참야콘푸드 1
 
1.2%
자연채 1
 
1.2%
천지원푸드 1
 
1.2%
Other values (71) 71
86.6%
2024-04-30T04:36:57.137276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 30
 
6.0%
( 29
 
5.8%
) 29
 
5.8%
드 17
 
3.4%
푸 16
 
3.2%
식 14
 
2.8%
품 14
 
2.8%
이 12
 
2.4%
미 10
 
2.0%
스 10
 
2.0%
Other values (155) 319
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 430
86.0%
Open Punctuation 29
 
5.8%
Close Punctuation 29
 
5.8%
Uppercase Letter 6
 
1.2%
Other Punctuation 3
 
0.6%
Space Separator 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 30
 
7.0%
드 17
 
4.0%
푸 16
 
3.7%
식 14
 
3.3%
품 14
 
3.3%
이 12
 
2.8%
미 10
 
2.3%
스 10
 
2.3%
에 10
 
2.3%
리 9
 
2.1%
Other values (146) 288
67.0%
Uppercase Letter
ValueCountFrequency (%)
O 3
50.0%
D 1
 
16.7%
K 1
 
16.7%
F 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 430
86.0%
Common 64
 
12.8%
Latin 6
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 30
 
7.0%
드 17
 
4.0%
푸 16
 
3.7%
식 14
 
3.3%
품 14
 
3.3%
이 12
 
2.8%
미 10
 
2.3%
스 10
 
2.3%
에 10
 
2.3%
리 9
 
2.1%
Other values (146) 288
67.0%
Common
ValueCountFrequency (%)
( 29
45.3%
) 29
45.3%
. 3
 
4.7%
2
 
3.1%
- 1
 
1.6%
Latin
ValueCountFrequency (%)
O 3
50.0%
D 1
 
16.7%
K 1
 
16.7%
F 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 430
86.0%
ASCII 70
 
14.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 30
 
7.0%
드 17
 
4.0%
푸 16
 
3.7%
식 14
 
3.3%
품 14
 
3.3%
이 12
 
2.8%
미 10
 
2.3%
스 10
 
2.3%
에 10
 
2.3%
리 9
 
2.1%
Other values (146) 288
67.0%
ASCII
ValueCountFrequency (%)
( 29
41.4%
) 29
41.4%
O 3
 
4.3%
. 3
 
4.3%
2
 
2.9%
D 1
 
1.4%
K 1
 
1.4%
F 1
 
1.4%
- 1
 
1.4%

최종수정일자
Date

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2003-05-23 11:26:15
Maximum2024-03-04 16:38:52
2024-04-30T04:36:57.253530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:36:57.372331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
I
59 
U
21 

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 59
73.8%
U 21
 
26.2%

Length

2024-04-30T04:36:57.475973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:57.553387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 59
73.8%
u 21
 
26.2%

데이터갱신일자
Date

Distinct17
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:06:00
2024-04-30T04:36:57.621291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:36:57.709091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
식육가공업
78 
유가공업
 
2

Length

Max length5
Median length5
Mean length4.975
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 78
97.5%
유가공업 2
 
2.5%

Length

2024-04-30T04:36:57.816092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:57.909149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 78
97.5%
유가공업 2
 
2.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)92.2%
Missing3
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean212587.1
Minimum210566.88
Maximum215174.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:36:58.007469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210566.88
5-th percentile210874.06
Q1211430.68
median212458.81
Q3213304.21
95-th percentile215074.32
Maximum215174.68
Range4607.8019
Interquartile range (IQR)1873.5275

Descriptive statistics

Standard deviation1298.9858
Coefficient of variation (CV)0.0061103696
Kurtosis-0.48474696
Mean212587.1
Median Absolute Deviation (MAD)978.19895
Skewness0.62223718
Sum16369207
Variance1687364
MonotonicityNot monotonic
2024-04-30T04:36:58.118216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213751.225969745 2
 
2.5%
212947.010683318 2
 
2.5%
210977.256530413 2
 
2.5%
213702.581702681 2
 
2.5%
213582.043238143 2
 
2.5%
212378.256676389 2
 
2.5%
212037.330394364 1
 
1.2%
211810.896881259 1
 
1.2%
213304.207604325 1
 
1.2%
210858.955354048 1
 
1.2%
Other values (61) 61
76.2%
(Missing) 3
 
3.8%
ValueCountFrequency (%)
210566.875626134 1
1.2%
210789.064966756 1
1.2%
210858.955354048 1
1.2%
210863.079723965 1
1.2%
210876.810679294 1
1.2%
210902.353907359 1
1.2%
210977.256530413 2
2.5%
211195.37413649 1
1.2%
211213.095443058 1
1.2%
211265.331889504 1
1.2%
ValueCountFrequency (%)
215174.677506758 1
1.2%
215137.810171285 1
1.2%
215129.842193761 1
1.2%
215077.214723678 1
1.2%
215073.592252889 1
1.2%
215033.880778399 1
1.2%
215018.445233962 1
1.2%
215005.468754114 1
1.2%
214990.052555942 1
1.2%
214973.32588151 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)92.2%
Missing3
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean449064.45
Minimum447040.07
Maximum451010.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:36:58.232198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447040.07
5-th percentile447339.13
Q1448418.31
median449307.36
Q3449761.29
95-th percentile450945.89
Maximum451010.59
Range3970.5154
Interquartile range (IQR)1342.9778

Descriptive statistics

Standard deviation1045.2186
Coefficient of variation (CV)0.0023275469
Kurtosis-0.60597998
Mean449064.45
Median Absolute Deviation (MAD)646.90331
Skewness-0.10119577
Sum34577963
Variance1092481.8
MonotonicityNot monotonic
2024-04-30T04:36:58.360763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450991.031680959 2
 
2.5%
448888.871539547 2
 
2.5%
447381.743610803 2
 
2.5%
450945.892844006 2
 
2.5%
450060.273410647 2
 
2.5%
447763.879712433 2
 
2.5%
449323.238737217 1
 
1.2%
449360.762636795 1
 
1.2%
451010.585461397 1
 
1.2%
447948.157657586 1
 
1.2%
Other values (61) 61
76.2%
(Missing) 3
 
3.8%
ValueCountFrequency (%)
447040.070086074 1
1.2%
447129.079727294 1
1.2%
447153.147596631 1
1.2%
447168.676159819 1
1.2%
447381.743610803 2
2.5%
447389.893201561 1
1.2%
447402.629676369 1
1.2%
447520.782684761 1
1.2%
447728.865137096 1
1.2%
447763.879712433 2
2.5%
ValueCountFrequency (%)
451010.585461397 1
1.2%
450991.031680959 2
2.5%
450945.892844006 2
2.5%
450805.419756807 1
1.2%
450783.866909442 1
1.2%
450472.374955204 1
1.2%
450207.018195483 1
1.2%
450163.511786749 1
1.2%
450096.835589005 1
1.2%
450060.273410647 2
2.5%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
축산물가공업
69 
<NA>
11 

Length

Max length6
Median length6
Mean length5.725
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 69
86.2%
<NA> 11
 
13.8%

Length

2024-04-30T04:36:58.502315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:58.603465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 69
86.2%
na 11
 
13.8%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
식육가공업
67 
<NA>
11 
유가공업
 
2

Length

Max length5
Median length5
Mean length4.8375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 67
83.8%
<NA> 11
 
13.8%
유가공업 2
 
2.5%

Length

2024-04-30T04:36:58.694848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:58.789442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 67
83.8%
na 11
 
13.8%
유가공업 2
 
2.5%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
78 
0
 
2

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
97.5%
0 2
 
2.5%

Length

2024-04-30T04:36:58.892208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:58.978202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
97.5%
0 2
 
2.5%

권리주체일련번호
Categorical

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
000
39 
L00
29 
<NA>
11 
F00
 
1

Length

Max length4
Median length3
Mean length3.1375
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
000 39
48.8%
L00 29
36.2%
<NA> 11
 
13.8%
F00 1
 
1.2%

Length

2024-04-30T04:36:59.084437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:59.183448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 39
48.8%
l00 29
36.2%
na 11
 
13.8%
f00 1
 
1.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
78 
0
 
2

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
97.5%
0 2
 
2.5%

Length

2024-04-30T04:36:59.295863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:36:59.387593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
97.5%
0 2
 
2.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0324000032400000041999000119990930<NA>3폐업2폐업20090416<NA><NA><NA>474-252179.04<NA>서울특별시 강동구 천호동 308번지<NA><NA>거성상사2009-04-16 10:09:13I2018-08-31 23:59:59.0식육가공업211309.848894449245.604701축산물가공업식육가공업<NA>000<NA>
1324000032400000041999000219991023<NA>2휴업1휴업<NA>2005010120050630<NA>442-33640.0<NA>서울특별시 강동구 암사동 414-2번지 강동(아) 가상가지하<NA><NA>(주)다모아축산2004-12-16 13:42:59I2018-08-31 23:59:59.0식육가공업212480.463676450472.374955축산물가공업식육가공업<NA>L00<NA>
2324000032400000041999000319991111<NA>3폐업2폐업20090602<NA><NA><NA>3426-479464.0<NA>서울특별시 강동구 명일동 344-13번지 지하<NA><NA>칠향식품2009-06-02 16:45:16I2018-08-31 23:59:59.0식육가공업212719.072961449469.149174축산물가공업식육가공업<NA>000<NA>
3324000032400000042000000120000119<NA>3폐업2폐업20041215<NA><NA><NA>426-411443.5<NA>서울특별시 강동구 암사동 466-1번지<NA><NA>한서종합농축(주)2004-12-15 17:58:43I2018-08-31 23:59:59.0식육가공업211430.680091450163.511787축산물가공업식육가공업<NA>L00<NA>
4324000032400000042000000220000314<NA>3폐업2폐업20090422<NA><NA><NA>3426-12310.0<NA>서울특별시 강동구 상일동 282-1번지<NA><NA>원식품2009-04-22 15:50:15I2018-08-31 23:59:59.0유가공업215077.214724449628.097236축산물가공업유가공업<NA>000<NA>
5324000032400000042000000320000623<NA>3폐업2폐업20170101<NA><NA><NA>429-005145.88<NA>서울특별시 강동구 암사동 501-16번지서울특별시 강동구 상암로11길 29 (암사동)5264왕갈비닷컴2019-04-16 17:29:07U2019-04-18 02:40:00.0식육가공업211317.640531449871.521385축산물가공업식육가공업<NA>000<NA>
6324000032400000042000000520000724<NA>3폐업2폐업20040421<NA><NA><NA>442-735367.8<NA>서울특별시 강동구 고덕동 508-9번지<NA><NA>보운축산2004-04-21 11:18:25I2018-08-31 23:59:59.0식육가공업213751.22597450991.031681축산물가공업식육가공업<NA>000<NA>
7324000032400000042000000620000816<NA>3폐업2폐업20031124<NA><NA><NA>473-379348.98<NA>서울특별시 강동구 고덕동 650-4번지<NA><NA>솟을터2003-11-24 16:55:43I2018-08-31 23:59:59.0식육가공업213333.054664450805.419757축산물가공업식육가공업<NA>000<NA>
8324000032400000042000000720001011<NA>3폐업2폐업20030521<NA><NA><NA>481-102089.08<NA>서울특별시 강동구 암사동 516-6번지<NA><NA>제일데니쉬식품가공사2003-05-23 11:26:15I2018-08-31 23:59:59.0식육가공업210876.810679449810.032046축산물가공업식육가공업<NA>000<NA>
9324000032400000042000000820001222<NA>3폐업2폐업20040819<NA><NA><NA>476-943775.06<NA>서울특별시 강동구 성내동 451번지<NA><NA>(주)농협유통하나로마트성내점2004-08-19 14:34:27I2018-08-31 23:59:59.0식육가공업210566.875626447402.629676축산물가공업식육가공업<NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
70324000032400000042016000120160721<NA>3폐업2폐업20191129<NA><NA>20191129<NA>0.0<NA><NA>서울특별시 강동구 동남로73길 31 (명일동)5269(주)휴먼메쯔거라이2019-11-28 17:10:29U2019-11-30 02:40:00.0식육가공업213582.043238450060.273411축산물가공업식육가공업<NA>L00<NA>
7132400003240000004201700012017-02-15<NA>1영업/정상0정상<NA><NA><NA><NA>02-6423-3702527.2<NA>서울특별시 강동구 둔촌동 518-4 하이랜드빌딩지하 1층서울특별시 강동구 풍성로 235, 하이랜드빌딩 지하1층 (둔촌동)5372(주) 모아에프앤비2024-03-04 16:38:52U2023-12-03 00:06:00.0식육가공업212119.359749447389.893202<NA><NA><NA><NA><NA>
72324000032400000042017000220110907<NA>3폐업2폐업20201123<NA><NA>20201123<NA>0.0<NA>서울특별시 강동구 천호동 21-206서울특별시 강동구 상암로 141, 1층 (천호동, 아이린어린이집)5308삼우유통2020-11-23 10:18:33U2020-11-25 02:40:00.0식육가공업212150.012937449307.36107축산물가공업식육가공업<NA>000<NA>
7332400003240000004201700032017-04-25<NA>1영업/정상0정상<NA><NA><NA><NA>02-533-20180.0<NA>서울특별시 강동구 상일동 454 지하1층서울특별시 강동구 상암로81길 50, 지하1층 (상일동)5284성농찬2024-02-05 09:37:48U2023-12-02 00:07:00.0식육가공업214888.465504449334.414422<NA><NA><NA><NA><NA>
7432400003240000004201800012018-09-27<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강동구 천호동 225-20서울특별시 강동구 상암로 132, 1층 101호 (천호동)5310제일축산2024-02-05 09:30:49U2023-12-02 00:07:00.0식육가공업212037.330394449323.238737<NA><NA><NA><NA><NA>
75324000032400000042018000220181011<NA>1영업/정상0정상<NA><NA><NA><NA><NA>336.98<NA>서울특별시 강동구 암사동 462-3번지 서연빌딩서울특별시 강동구 올림픽로 820, 서연빌딩 지하1층 (암사동)5251(주)플랜비에프에스2019-03-20 17:26:22U2019-03-22 02:40:00.0식육가공업211349.725354450207.018195축산물가공업식육가공업<NA>L00<NA>
76324000032400000042019000120190610<NA>3폐업2폐업20211026<NA><NA>2021102602-476-9295254.8<NA>서울특별시 강동구 성내동 435-42서울특별시 강동구 성내로 90, 1층 101호 (성내동)5401갑또리닭강정2021-10-26 17:06:22U2021-10-28 02:40:00.0식육가공업211376.785751447168.67616축산물가공업식육가공업00000
77324000032400000042019000220190930<NA>1영업/정상0정상<NA><NA><NA><NA>02-546-3013478.0<NA>서울특별시 강동구 명일동 343-5 강동제일빌딩서울특별시 강동구 상암로 207, 강동제일빌딩 지하1층 (명일동)5294(주)홀푸드팩토리2020-12-29 17:06:09U2020-12-31 02:40:00.0유가공업212790.697388449392.180093축산물가공업유가공업<NA>L00<NA>
7832400003240000004202000012020-01-31<NA>1영업/정상0정상<NA><NA><NA><NA>02-428-16900.0<NA>서울특별시 강동구 명일동 48-1 지하1층서울특별시 강동구 동남로73길 31, 지하1층 (명일동)5269(주)훔메플라이셔라이2024-02-05 09:45:05U2023-12-02 00:07:00.0식육가공업213582.043238450060.273411<NA><NA><NA><NA><NA>
7932400003240000004202100012021-03-30<NA>3폐업2폐업2024-01-30<NA><NA>2024-01-30<NA>149.0<NA>서울특별시 강동구 성내동 127-12서울특별시 강동구 천호옛길 52, 지하1층 (성내동)5386에이치푸드2024-01-30 14:59:21U2023-12-02 00:01:00.0식육가공업210858.955354447948.157658<NA><NA><NA><NA><NA>