Overview

Dataset statistics

Number of variables30
Number of observations211
Missing cells893
Missing cells (%)14.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.5 KiB
Average record size in memory254.6 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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-18105/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (95.7%)Imbalance
휴업종료일자 is highly imbalanced (95.7%)Imbalance
업태구분명 is highly imbalanced (74.6%)Imbalance
축산물가공업구분명 is highly imbalanced (51.4%)Imbalance
인허가취소일자 has 211 (100.0%) missing valuesMissing
폐업일자 has 64 (30.3%) missing valuesMissing
재개업일자 has 158 (74.9%) missing valuesMissing
전화번호 has 118 (55.9%) missing valuesMissing
소재지우편번호 has 211 (100.0%) missing valuesMissing
도로명주소 has 27 (12.8%) missing valuesMissing
도로명우편번호 has 95 (45.0%) missing valuesMissing
좌표정보(X) has 4 (1.9%) missing valuesMissing
좌표정보(Y) has 4 (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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 176 (83.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:26:46.296294
Analysis finished2024-05-11 05:26:47.021911
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3030000
211 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 211
100.0%

Length

2024-05-11T14:26:47.395819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:47.833716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 211
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct211
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.03 × 1017
Minimum3.03 × 1017
Maximum3.03 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:26:48.293748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.03 × 1017
5-th percentile3.03 × 1017
Q13.03 × 1017
median3.03 × 1017
Q33.03 × 1017
95-th percentile3.03 × 1017
Maximum3.03 × 1017
Range260000
Interquartile range (IQR)119936

Descriptive statistics

Standard deviation62383.78
Coefficient of variation (CV)2.0588706 × 10-13
Kurtosis-1.2479739
Mean3.03 × 1017
Median Absolute Deviation (MAD)59968
Skewness0.1529366
Sum8.5927679 × 1018
Variance3.891736 × 109
MonotonicityStrictly increasing
2024-05-11T14:26:48.919620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303000000419980001 1
 
0.5%
303000000420130013 1
 
0.5%
303000000420140002 1
 
0.5%
303000000420140003 1
 
0.5%
303000000420140004 1
 
0.5%
303000000420140005 1
 
0.5%
303000000420140006 1
 
0.5%
303000000420140007 1
 
0.5%
303000000420140008 1
 
0.5%
303000000420140009 1
 
0.5%
Other values (201) 201
95.3%
ValueCountFrequency (%)
303000000419980001 1
0.5%
303000000420010001 1
0.5%
303000000420020001 1
0.5%
303000000420020002 1
0.5%
303000000420020003 1
0.5%
303000000420020006 1
0.5%
303000000420030001 1
0.5%
303000000420030002 1
0.5%
303000000420030003 1
0.5%
303000000420030004 1
0.5%
ValueCountFrequency (%)
303000000420240001 1
0.5%
303000000420230002 1
0.5%
303000000420230001 1
0.5%
303000000420220003 1
0.5%
303000000420220002 1
0.5%
303000000420220001 1
0.5%
303000000420210003 1
0.5%
303000000420210002 1
0.5%
303000000420210001 1
0.5%
303000000420200003 1
0.5%

인허가일자
Date

Distinct152
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1998-07-01 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T14:26:49.141417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:49.317952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing211
Missing (%)100.0%
Memory size2.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3
146 
1
51 
4
 
14

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 (%)
3 146
69.2%
1 51
 
24.2%
4 14
 
6.6%

Length

2024-05-11T14:26:49.528342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:49.674995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 146
69.2%
1 51
 
24.2%
4 14
 
6.6%

영업상태명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
146 
영업/정상
51 
취소/말소/만료/정지/중지
 
14

Length

Max length14
Median length2
Mean length3.521327
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 146
69.2%
영업/정상 51
 
24.2%
취소/말소/만료/정지/중지 14
 
6.6%

Length

2024-05-11T14:26:49.865929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:50.022387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 146
69.2%
영업/정상 51
 
24.2%
취소/말소/만료/정지/중지 14
 
6.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2
146 
0
51 
4
 
13
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
2 146
69.2%
0 51
 
24.2%
4 13
 
6.2%
3 1
 
0.5%

Length

2024-05-11T14:26:50.211220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:50.346437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 146
69.2%
0 51
 
24.2%
4 13
 
6.2%
3 1
 
0.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
146 
정상
51 
말소
 
13
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0094787
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 146
69.2%
정상 51
 
24.2%
말소 13
 
6.2%
행정처분 1
 
0.5%

Length

2024-05-11T14:26:50.559079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:50.719692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 146
69.2%
정상 51
 
24.2%
말소 13
 
6.2%
행정처분 1
 
0.5%

폐업일자
Date

MISSING 

Distinct145
Distinct (%)98.6%
Missing64
Missing (%)30.3%
Memory size1.8 KiB
Minimum2002-11-25 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T14:26:50.894968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:51.066971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
210 
20170501
 
1

Length

Max length8
Median length4
Mean length4.0189573
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 210
99.5%
20170501 1
 
0.5%

Length

2024-05-11T14:26:51.243751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:51.373148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 210
99.5%
20170501 1
 
0.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
210 
20180430
 
1

Length

Max length8
Median length4
Mean length4.0189573
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 210
99.5%
20180430 1
 
0.5%

Length

2024-05-11T14:26:51.513008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:51.633018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 210
99.5%
20180430 1
 
0.5%

재개업일자
Date

MISSING 

Distinct53
Distinct (%)100.0%
Missing158
Missing (%)74.9%
Memory size1.8 KiB
Minimum2016-11-10 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T14:26:51.750540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:51.927762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct91
Distinct (%)97.8%
Missing118
Missing (%)55.9%
Memory size1.8 KiB
2024-05-11T14:26:52.260005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.72043
Min length8

Characters and Unicode

Total characters997
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

Unique89 ?
Unique (%)95.7%

Sample

1st row2299-2302
2nd row2294-0268
3rd row2295-3353
4th row2296-0744
5th row02-461-1881
ValueCountFrequency (%)
070-7522-4553 2
 
2.2%
02-461-1881 2
 
2.2%
2291-9545~6 1
 
1.1%
02-2140-9570 1
 
1.1%
465-7183 1
 
1.1%
2298-7339 1
 
1.1%
2281-8037 1
 
1.1%
2242-5584 1
 
1.1%
2291-6477 1
 
1.1%
2296-8877 1
 
1.1%
Other values (81) 81
87.1%
2024-05-11T14:26:52.812605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 227
22.8%
- 148
14.8%
0 116
11.6%
9 89
 
8.9%
1 75
 
7.5%
6 69
 
6.9%
4 61
 
6.1%
8 59
 
5.9%
5 52
 
5.2%
7 50
 
5.0%
Other values (2) 51
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 845
84.8%
Dash Punctuation 148
 
14.8%
Math Symbol 4
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 227
26.9%
0 116
13.7%
9 89
 
10.5%
1 75
 
8.9%
6 69
 
8.2%
4 61
 
7.2%
8 59
 
7.0%
5 52
 
6.2%
7 50
 
5.9%
3 47
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 997
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 227
22.8%
- 148
14.8%
0 116
11.6%
9 89
 
8.9%
1 75
 
7.5%
6 69
 
6.9%
4 61
 
6.1%
8 59
 
5.9%
5 52
 
5.2%
7 50
 
5.0%
Other values (2) 51
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 227
22.8%
- 148
14.8%
0 116
11.6%
9 89
 
8.9%
1 75
 
7.5%
6 69
 
6.9%
4 61
 
6.1%
8 59
 
5.9%
5 52
 
5.2%
7 50
 
5.0%
Other values (2) 51
 
5.1%

소재지면적
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)16.7%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean20.822857
Minimum0
Maximum507
Zeros176
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:26:52.995978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile127.77
Maximum507
Range507
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.776326
Coefficient of variation (CV)3.0147796
Kurtosis28.598961
Mean20.822857
Median Absolute Deviation (MAD)0
Skewness4.7584309
Sum4372.8
Variance3940.8671
MonotonicityNot monotonic
2024-05-11T14:26:53.141120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 176
83.4%
507.0 1
 
0.5%
66.09 1
 
0.5%
60.75 1
 
0.5%
96.2 1
 
0.5%
114.0 1
 
0.5%
68.24 1
 
0.5%
141.7 1
 
0.5%
103.7 1
 
0.5%
190.96 1
 
0.5%
Other values (25) 25
 
11.8%
ValueCountFrequency (%)
0.0 176
83.4%
44.48 1
 
0.5%
46.1 1
 
0.5%
47.12 1
 
0.5%
57.0 1
 
0.5%
60.75 1
 
0.5%
61.6 1
 
0.5%
63.44 1
 
0.5%
66.0 1
 
0.5%
66.09 1
 
0.5%
ValueCountFrequency (%)
507.0 1
0.5%
450.6 1
0.5%
290.7 1
0.5%
226.4 1
0.5%
190.96 1
0.5%
152.2 1
0.5%
146.0 1
0.5%
141.7 1
0.5%
138.0 1
0.5%
133.36 1
0.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing211
Missing (%)100.0%
Memory size2.0 KiB

지번주소
Text

Distinct200
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T14:26:53.393251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length25.483412
Min length19

Characters and Unicode

Total characters5377
Distinct characters116
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

Unique192 ?
Unique (%)91.0%

Sample

1st row서울특별시 성동구 성수동2가 309-134번지
2nd row서울특별시 성동구 마장동 522-2번지
3rd row서울특별시 성동구 마장동 568-17번지
4th row서울특별시 성동구 마장동 501번지
5th row서울특별시 성동구 마장동 766-35 번지
ValueCountFrequency (%)
서울특별시 211
21.2%
성동구 211
21.2%
마장동 127
12.8%
성수동2가 38
 
3.8%
1층 33
 
3.3%
성수동1가 22
 
2.2%
지하1층 16
 
1.6%
2층 10
 
1.0%
762-1 9
 
0.9%
용답동 6
 
0.6%
Other values (254) 311
31.3%
2024-05-11T14:26:53.841861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
952
17.7%
동 434
 
8.1%
성 275
 
5.1%
1 244
 
4.5%
서 213
 
4.0%
울 213
 
4.0%
시 213
 
4.0%
별 211
 
3.9%
구 211
 
3.9%
특 211
 
3.9%
Other values (106) 2200
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3028
56.3%
Decimal Number 1170
 
21.8%
Space Separator 952
 
17.7%
Dash Punctuation 187
 
3.5%
Other Punctuation 19
 
0.4%
Uppercase Letter 11
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 434
14.3%
성 275
 
9.1%
서 213
 
7.0%
울 213
 
7.0%
시 213
 
7.0%
별 211
 
7.0%
구 211
 
7.0%
특 211
 
7.0%
지 173
 
5.7%
번 142
 
4.7%
Other values (85) 732
24.2%
Decimal Number
ValueCountFrequency (%)
1 244
20.9%
2 188
16.1%
7 117
10.0%
4 115
9.8%
5 110
9.4%
6 106
9.1%
3 84
 
7.2%
0 82
 
7.0%
9 70
 
6.0%
8 54
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
A 2
 
18.2%
C 1
 
9.1%
H 1
 
9.1%
S 1
 
9.1%
Space Separator
ValueCountFrequency (%)
952
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3028
56.3%
Common 2336
43.4%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 434
14.3%
성 275
 
9.1%
서 213
 
7.0%
울 213
 
7.0%
시 213
 
7.0%
별 211
 
7.0%
구 211
 
7.0%
특 211
 
7.0%
지 173
 
5.7%
번 142
 
4.7%
Other values (85) 732
24.2%
Common
ValueCountFrequency (%)
952
40.8%
1 244
 
10.4%
2 188
 
8.0%
- 187
 
8.0%
7 117
 
5.0%
4 115
 
4.9%
5 110
 
4.7%
6 106
 
4.5%
3 84
 
3.6%
0 82
 
3.5%
Other values (5) 151
 
6.5%
Latin
ValueCountFrequency (%)
B 6
46.2%
A 2
 
15.4%
c 2
 
15.4%
C 1
 
7.7%
H 1
 
7.7%
S 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3028
56.3%
ASCII 2349
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
952
40.5%
1 244
 
10.4%
2 188
 
8.0%
- 187
 
8.0%
7 117
 
5.0%
4 115
 
4.9%
5 110
 
4.7%
6 106
 
4.5%
3 84
 
3.6%
0 82
 
3.5%
Other values (11) 164
 
7.0%
Hangul
ValueCountFrequency (%)
동 434
14.3%
성 275
 
9.1%
서 213
 
7.0%
울 213
 
7.0%
시 213
 
7.0%
별 211
 
7.0%
구 211
 
7.0%
특 211
 
7.0%
지 173
 
5.7%
번 142
 
4.7%
Other values (85) 732
24.2%

도로명주소
Text

MISSING 

Distinct174
Distinct (%)94.6%
Missing27
Missing (%)12.8%
Memory size1.8 KiB
2024-05-11T14:26:54.210304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length44
Mean length31.402174
Min length21

Characters and Unicode

Total characters5778
Distinct characters150
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

Unique167 ?
Unique (%)90.8%

Sample

1st row서울특별시 성동구 성수이로7길 22 (성수동2가)
2nd row서울특별시 성동구 마장로31길 43, 4층 (마장동)
3rd row서울특별시 성동구 무학로14길 66 (마장동)
4th row서울특별시 성동구 마장로33길 67 (마장동)
5th row서울특별시 성동구 아차산로9길 20 (성수동2가)
ValueCountFrequency (%)
서울특별시 184
 
17.0%
성동구 184
 
17.0%
마장동 94
 
8.7%
1층 42
 
3.9%
성수동2가 32
 
3.0%
성수동1가 19
 
1.8%
지하1층 14
 
1.3%
16 13
 
1.2%
2층 11
 
1.0%
마장로31길 10
 
0.9%
Other values (276) 480
44.3%
2024-05-11T14:26:54.740242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
901
 
15.6%
동 385
 
6.7%
1 286
 
4.9%
성 266
 
4.6%
서 191
 
3.3%
시 189
 
3.3%
울 189
 
3.3%
( 187
 
3.2%
) 187
 
3.2%
장 187
 
3.2%
Other values (140) 2810
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3336
57.7%
Decimal Number 959
 
16.6%
Space Separator 901
 
15.6%
Open Punctuation 187
 
3.2%
Close Punctuation 187
 
3.2%
Other Punctuation 151
 
2.6%
Dash Punctuation 44
 
0.8%
Uppercase Letter 11
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 385
 
11.5%
성 266
 
8.0%
서 191
 
5.7%
시 189
 
5.7%
울 189
 
5.7%
장 187
 
5.6%
별 184
 
5.5%
특 184
 
5.5%
구 184
 
5.5%
마 179
 
5.4%
Other values (120) 1198
35.9%
Decimal Number
ValueCountFrequency (%)
1 286
29.8%
2 163
17.0%
3 133
13.9%
0 67
 
7.0%
5 65
 
6.8%
4 63
 
6.6%
6 61
 
6.4%
7 48
 
5.0%
9 45
 
4.7%
8 28
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
B 7
63.6%
A 2
 
18.2%
H 1
 
9.1%
S 1
 
9.1%
Space Separator
ValueCountFrequency (%)
901
100.0%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 187
100.0%
Other Punctuation
ValueCountFrequency (%)
, 151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3336
57.7%
Common 2429
42.0%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 385
 
11.5%
성 266
 
8.0%
서 191
 
5.7%
시 189
 
5.7%
울 189
 
5.7%
장 187
 
5.6%
별 184
 
5.5%
특 184
 
5.5%
구 184
 
5.5%
마 179
 
5.4%
Other values (120) 1198
35.9%
Common
ValueCountFrequency (%)
901
37.1%
1 286
 
11.8%
( 187
 
7.7%
) 187
 
7.7%
2 163
 
6.7%
, 151
 
6.2%
3 133
 
5.5%
0 67
 
2.8%
5 65
 
2.7%
4 63
 
2.6%
Other values (5) 226
 
9.3%
Latin
ValueCountFrequency (%)
B 7
53.8%
A 2
 
15.4%
c 2
 
15.4%
H 1
 
7.7%
S 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3336
57.7%
ASCII 2442
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
901
36.9%
1 286
 
11.7%
( 187
 
7.7%
) 187
 
7.7%
2 163
 
6.7%
, 151
 
6.2%
3 133
 
5.4%
0 67
 
2.7%
5 65
 
2.7%
4 63
 
2.6%
Other values (10) 239
 
9.8%
Hangul
ValueCountFrequency (%)
동 385
 
11.5%
성 266
 
8.0%
서 191
 
5.7%
시 189
 
5.7%
울 189
 
5.7%
장 187
 
5.6%
별 184
 
5.5%
특 184
 
5.5%
구 184
 
5.5%
마 179
 
5.4%
Other values (120) 1198
35.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)37.1%
Missing95
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean5858.8448
Minimum4700
Maximum133050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:26:54.897424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4704
Q14735
median4752
Q34781
95-th percentile4799
Maximum133050
Range128350
Interquartile range (IQR)46

Descriptive statistics

Standard deviation11912.134
Coefficient of variation (CV)2.0331882
Kurtosis115.99834
Mean5858.8448
Median Absolute Deviation (MAD)27
Skewness10.770215
Sum679626
Variance1.4189894 × 108
MonotonicityNot monotonic
2024-05-11T14:26:55.058865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4704 18
 
8.5%
4752 17
 
8.1%
4748 12
 
5.7%
4756 8
 
3.8%
4793 6
 
2.8%
4749 4
 
1.9%
4798 3
 
1.4%
4774 3
 
1.4%
4781 3
 
1.4%
4792 2
 
0.9%
Other values (33) 40
19.0%
(Missing) 95
45.0%
ValueCountFrequency (%)
4700 1
 
0.5%
4702 1
 
0.5%
4704 18
8.5%
4705 1
 
0.5%
4708 1
 
0.5%
4709 1
 
0.5%
4710 1
 
0.5%
4714 1
 
0.5%
4718 1
 
0.5%
4725 1
 
0.5%
ValueCountFrequency (%)
133050 1
 
0.5%
4804 1
 
0.5%
4803 1
 
0.5%
4800 2
 
0.9%
4799 2
 
0.9%
4798 3
1.4%
4797 1
 
0.5%
4796 1
 
0.5%
4793 6
2.8%
4792 2
 
0.9%

사업장명
Text

Distinct206
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T14:26:55.326894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length6.7677725
Min length2

Characters and Unicode

Total characters1428
Distinct characters269
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

Unique201 ?
Unique (%)95.3%

Sample

1st row대한빙과
2nd row(주)랠리유통
3rd row(주)동해육가공
4th row(주)에스엠프렌차이즈
5th row(주)국일유통
ValueCountFrequency (%)
주식회사 8
 
3.4%
농업회사법인 3
 
1.3%
잭와규 2
 
0.9%
주)안성농역 2
 
0.9%
주)신세계푸드 2
 
0.9%
팩토리 2
 
0.9%
두원축산 2
 
0.9%
엔케이푸드 2
 
0.9%
대성축산 2
 
0.9%
대한빙과 1
 
0.4%
Other values (207) 207
88.8%
2024-05-11T14:26:55.758786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 94
 
6.6%
( 87
 
6.1%
) 87
 
6.1%
드 38
 
2.7%
식 37
 
2.6%
푸 37
 
2.6%
산 35
 
2.5%
축 34
 
2.4%
유 27
 
1.9%
스 27
 
1.9%
Other values (259) 925
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1195
83.7%
Open Punctuation 87
 
6.1%
Close Punctuation 87
 
6.1%
Space Separator 22
 
1.5%
Lowercase Letter 19
 
1.3%
Uppercase Letter 14
 
1.0%
Other Punctuation 3
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 94
 
7.9%
드 38
 
3.2%
식 37
 
3.1%
푸 37
 
3.1%
산 35
 
2.9%
축 34
 
2.8%
유 27
 
2.3%
스 27
 
2.3%
품 27
 
2.3%
이 25
 
2.1%
Other values (233) 814
68.1%
Lowercase Letter
ValueCountFrequency (%)
o 6
31.6%
t 2
 
10.5%
p 2
 
10.5%
s 2
 
10.5%
f 1
 
5.3%
d 1
 
5.3%
a 1
 
5.3%
l 1
 
5.3%
e 1
 
5.3%
c 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
F 3
21.4%
S 2
14.3%
B 2
14.3%
J 2
14.3%
P 1
 
7.1%
K 1
 
7.1%
C 1
 
7.1%
G 1
 
7.1%
H 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1195
83.7%
Common 200
 
14.0%
Latin 33
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 94
 
7.9%
드 38
 
3.2%
식 37
 
3.1%
푸 37
 
3.1%
산 35
 
2.9%
축 34
 
2.8%
유 27
 
2.3%
스 27
 
2.3%
품 27
 
2.3%
이 25
 
2.1%
Other values (233) 814
68.1%
Latin
ValueCountFrequency (%)
o 6
18.2%
F 3
 
9.1%
t 2
 
6.1%
S 2
 
6.1%
B 2
 
6.1%
J 2
 
6.1%
p 2
 
6.1%
s 2
 
6.1%
P 1
 
3.0%
f 1
 
3.0%
Other values (10) 10
30.3%
Common
ValueCountFrequency (%)
( 87
43.5%
) 87
43.5%
22
 
11.0%
& 2
 
1.0%
1 1
 
0.5%
. 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1195
83.7%
ASCII 233
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 94
 
7.9%
드 38
 
3.2%
식 37
 
3.1%
푸 37
 
3.1%
산 35
 
2.9%
축 34
 
2.8%
유 27
 
2.3%
스 27
 
2.3%
품 27
 
2.3%
이 25
 
2.1%
Other values (233) 814
68.1%
ASCII
ValueCountFrequency (%)
( 87
37.3%
) 87
37.3%
22
 
9.4%
o 6
 
2.6%
F 3
 
1.3%
t 2
 
0.9%
S 2
 
0.9%
B 2
 
0.9%
J 2
 
0.9%
p 2
 
0.9%
Other values (16) 18
 
7.7%

최종수정일자
Date

UNIQUE 

Distinct211
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2003-01-13 11:47:34
Maximum2024-03-26 17:24:28
2024-05-11T14:26:55.925671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:56.358713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
I
129 
U
82 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 129
61.1%
U 82
38.9%

Length

2024-05-11T14:26:56.547128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:56.670549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 129
61.1%
u 82
38.9%

데이터갱신일자
Date

Distinct69
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:02:00
2024-05-11T14:26:56.818889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:57.035558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
식육가공업
202 
유가공업
 
9

Length

Max length5
Median length5
Mean length4.957346
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 202
95.7%
유가공업 9
 
4.3%

Length

2024-05-11T14:26:57.211739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:57.346055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 202
95.7%
유가공업 9
 
4.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct161
Distinct (%)77.8%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean203730.43
Minimum200951.21
Maximum206355.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:26:57.498645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200951.21
5-th percentile202793.71
Q1203265.16
median203558.97
Q3204170.24
95-th percentile205291.06
Maximum206355.33
Range5404.1226
Interquartile range (IQR)905.07518

Descriptive statistics

Standard deviation847.87682
Coefficient of variation (CV)0.0041617584
Kurtosis1.0088187
Mean203730.43
Median Absolute Deviation (MAD)373.16184
Skewness0.42460881
Sum42172198
Variance718895.1
MonotonicityNot monotonic
2024-05-11T14:26:57.708797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203563.159730254 9
 
4.3%
205116.298634583 5
 
2.4%
203558.966603071 4
 
1.9%
203481.881882663 3
 
1.4%
203267.452236462 3
 
1.4%
204461.776750011 3
 
1.4%
203276.101953695 3
 
1.4%
203667.378960299 3
 
1.4%
203826.996721314 2
 
0.9%
203175.747505483 2
 
0.9%
Other values (151) 170
80.6%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
200951.206580662 1
0.5%
201366.036667659 1
0.5%
201632.441672398 1
0.5%
201769.801645258 1
0.5%
202081.217944 1
0.5%
202087.93384541 1
0.5%
202113.869605464 1
0.5%
202279.856775856 1
0.5%
202377.244035216 1
0.5%
202523.044558332 1
0.5%
ValueCountFrequency (%)
206355.329194411 1
0.5%
206302.321886409 1
0.5%
205701.564885453 2
0.9%
205637.557422274 1
0.5%
205557.941680639 1
0.5%
205527.850961464 1
0.5%
205510.769389567 1
0.5%
205422.77256038 1
0.5%
205372.049018528 1
0.5%
205299.48054712 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct161
Distinct (%)77.8%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean450955.77
Minimum448305.77
Maximum452130.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:26:57.891666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448305.77
5-th percentile448645.09
Q1449524.56
median451672.32
Q3451938.22
95-th percentile452076.91
Maximum452130.26
Range3824.4868
Interquartile range (IQR)2413.6627

Descriptive statistics

Standard deviation1277.5822
Coefficient of variation (CV)0.0028330544
Kurtosis-1.0415145
Mean450955.77
Median Absolute Deviation (MAD)344.55509
Skewness-0.82315055
Sum93347844
Variance1632216.4
MonotonicityNot monotonic
2024-05-11T14:26:58.066793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451952.656488398 9
 
4.3%
449289.354711172 5
 
2.4%
452063.134112732 4
 
1.9%
452082.819550985 3
 
1.4%
451809.252754477 3
 
1.4%
449524.558350945 3
 
1.4%
451726.395355326 3
 
1.4%
451598.967578186 3
 
1.4%
449353.76111036 2
 
0.9%
451963.04040364 2
 
0.9%
Other values (151) 170
80.6%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
448305.769413188 1
0.5%
448364.035419492 1
0.5%
448383.090764777 1
0.5%
448415.759354119 1
0.5%
448445.207772104 1
0.5%
448446.594395743 1
0.5%
448511.20823192 1
0.5%
448529.568586955 1
0.5%
448545.54011 1
0.5%
448584.854350208 1
0.5%
ValueCountFrequency (%)
452130.256229522 1
 
0.5%
452119.471112417 1
 
0.5%
452116.187204484 2
0.9%
452108.522149464 1
 
0.5%
452098.622697627 2
0.9%
452086.355949451 1
 
0.5%
452082.819550985 3
1.4%
452063.134112732 4
1.9%
452057.98801601 1
 
0.5%
452051.229040635 1
 
0.5%

축산업무구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
축산물가공업
181 
<NA>
30 

Length

Max length6
Median length6
Mean length5.7156398
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 181
85.8%
<NA> 30
 
14.2%

Length

2024-05-11T14:26:58.238462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:58.388348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 181
85.8%
na 30
 
14.2%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
식육가공업
175 
<NA>
30 
유가공업
 
6

Length

Max length5
Median length5
Mean length4.8293839
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 175
82.9%
<NA> 30
 
14.2%
유가공업 6
 
2.8%

Length

2024-05-11T14:26:58.527031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:58.678495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 175
82.9%
na 30
 
14.2%
유가공업 6
 
2.8%

축산일련번호
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
184 
0
27 

Length

Max length4
Median length4
Mean length3.6161137
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> 184
87.2%
0 27
 
12.8%

Length

2024-05-11T14:26:58.876732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:59.056684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
87.2%
0 27
 
12.8%

권리주체일련번호
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
000
97 
L00
84 
<NA>
30 

Length

Max length4
Median length3
Mean length3.1421801
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 97
46.0%
L00 84
39.8%
<NA> 30
 
14.2%

Length

2024-05-11T14:26:59.258808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:59.430566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 97
46.0%
l00 84
39.8%
na 30
 
14.2%

총인원
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
184 
0
27 

Length

Max length4
Median length4
Mean length3.6161137
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> 184
87.2%
0 27
 
12.8%

Length

2024-05-11T14:26:59.593593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:59.731883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
87.2%
0 27
 
12.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0303000030300000041998000119980701<NA>3폐업2폐업20070511<NA><NA><NA><NA>507.0<NA>서울특별시 성동구 성수동2가 309-134번지서울특별시 성동구 성수이로7길 22 (성수동2가)<NA>대한빙과2007-05-11 10:17:57I2018-08-31 23:59:59.0유가공업204747.229992448785.243018축산물가공업유가공업<NA>000<NA>
1303000030300000042001000120010917<NA>3폐업2폐업20190225<NA><NA>20190225<NA>0.0<NA>서울특별시 성동구 마장동 522-2번지서울특별시 성동구 마장로31길 43, 4층 (마장동)4748(주)랠리유통2019-02-25 17:23:33U2019-02-27 02:40:00.0식육가공업203306.572095451987.097131축산물가공업식육가공업<NA>L00<NA>
2303000030300000042002000120020328<NA>3폐업2폐업20040528<NA><NA><NA>2299-2302226.4<NA>서울특별시 성동구 마장동 568-17번지서울특별시 성동구 무학로14길 66 (마장동)<NA>(주)동해육가공2004-05-29 09:32:26I2018-08-31 23:59:59.0식육가공업203194.856417451883.867821축산물가공업식육가공업<NA>L00<NA>
3303000030300000042002000220020307<NA>3폐업2폐업20021205<NA><NA><NA>2294-026857.0<NA>서울특별시 성동구 마장동 501번지서울특별시 성동구 마장로33길 67 (마장동)<NA>(주)에스엠프렌차이즈2003-01-13 11:47:34I2018-08-31 23:59:59.0식육가공업203481.881883452082.819551축산물가공업식육가공업<NA>L00<NA>
4303000030300000042002000320020326<NA>3폐업2폐업20021125<NA><NA><NA>2295-335344.48<NA>서울특별시 성동구 마장동 766-35 번지<NA><NA>(주)국일유통2003-01-13 11:50:40I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>L00<NA>
5303000030300000042002000620020816<NA>3폐업2폐업20040203<NA><NA><NA>2296-0744111.3<NA>서울특별시 성동구 홍익동 113번지<NA><NA>(주)세광푸드서비스2004-02-03 14:18:29I2018-08-31 23:59:59.0식육가공업202777.592563451626.856416축산물가공업식육가공업<NA>L00<NA>
6303000030300000042003000120030117<NA>3폐업2폐업20060615<NA><NA><NA>02-461-188147.12<NA>서울특별시 성동구 성수동2가 277-24번지서울특별시 성동구 아차산로9길 20 (성수동2가)<NA>대찬유통(주)2006-06-15 16:38:54I2018-08-31 23:59:59.0식육가공업205116.298635449289.354711축산물가공업식육가공업<NA>L00<NA>
7303000030300000042003000220030117<NA>3폐업2폐업20040612<NA><NA><NA>02-461-18810.0<NA>서울특별시 성동구 성수동2가 277-24번지서울특별시 성동구 아차산로9길 20 (성수동2가)<NA>대신축산(주)2004-06-12 13:37:10I2018-08-31 23:59:59.0식육가공업205116.298635449289.354711축산물가공업식육가공업<NA>L00<NA>
8303000030300000042003000320030117<NA>3폐업2폐업20190729<NA><NA>201907292294-66330.0<NA>서울특별시 성동구 마장동 769-1번지 C동 1층<NA><NA>화로식품2019-07-29 16:02:32U2019-07-31 02:40:00.0식육가공업203824.856845451668.253122축산물가공업식육가공업<NA>000<NA>
9303000030300000042003000420030117<NA>3폐업2폐업20120305<NA><NA><NA>2296-1151122.6<NA>서울특별시 성동구 마장동 514-4번지 지하1층<NA><NA>해원식품2012-03-05 16:41:44I2018-08-31 23:59:59.0식육가공업203259.911867451662.023942축산물가공업식육가공업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
20130300003030000004202000032020-12-24<NA>3폐업2폐업2023-10-04<NA><NA>2023-10-04<NA>0.0<NA>서울특별시 성동구 성수동2가 316-6 천일정공사서울특별시 성동구 연무장5길 6, 지하 1층, 1층 (성수동2가)4782문츠의 육공방2023-10-04 17:15:07U2022-10-31 00:06:00.0식육가공업204564.441838449044.889246<NA><NA><NA><NA><NA>
20230300003030000004202100012021-02-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 성수동2가 284-50 삼풍아파트형공장서울특별시 성동구 성수일로10길 8, 삼풍아파트형공장 1층 2호 (성수동2가)4793주식회사 제이에스페밀리2023-05-08 15:50:30U2022-12-04 23:00:00.0식육가공업204489.124605449490.00776<NA><NA><NA><NA><NA>
203303000030300000042021000220210525<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 성수동2가 251-56 현진빌딩서울특별시 성동구 연무장18길 5, 현진빌딩 지하 1층 (성수동2가)4786아오스 요거트2021-05-25 17:02:03I2021-05-27 00:22:55.0유가공업205372.049019448661.50477축산물가공업유가공업<NA>000<NA>
20430300003030000004202100032021-09-03<NA>3폐업2폐업2023-07-12<NA><NA>2023-07-12<NA>0.0<NA>서울특별시 성동구 마장동 501 태평제재(주)서울특별시 성동구 마장로33길 67, 태평제재(주) B동 1층 102호 (마장동)4748현대곱창2023-07-12 15:49:50U2022-12-06 23:04:00.0식육가공업203481.881883452082.819551<NA><NA><NA><NA><NA>
205303000030300000042022000120220524<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 성수동2가 277-40 205호서울특별시 성동구 성수이로24길 38, 205호 (성수동2가)4798그릭요거트팩토리2022-05-24 10:19:34I2021-12-04 22:06:00.0유가공업205422.77256449084.126946<NA><NA><NA><NA><NA>
206303000030300000042022000220201123<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 성수동2가 278-41 1층서울특별시 성동구 성수이로26길 29, 1층 (성수동2가)4796(주)유로푸드서비스 작업장2022-11-11 17:06:07I2021-10-31 23:04:00.0식육가공업205299.480547449262.422502<NA><NA><NA><NA><NA>
207303000030300000042022000320221127<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 성수동2가 277-175 이레타워 301호서울특별시 성동구 아차산로9길 21, 이레타워 301호 (성수동2가)4797플래닛가야2022-11-27 10:14:40I2021-10-31 22:09:00.0식육가공업205086.097993449314.492632<NA><NA><NA><NA><NA>
20830300003030000004202300012023-07-05<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 성수동1가 656-526 성수동 도시형공장서울특별시 성동구 아차산로1길 19, 성수동 도시형공장 지하1층 (성수동1가)4788런던베이글뮤지엄 성수2023-07-05 17:56:10I2022-12-07 00:07:00.0유가공업204025.755687449724.395162<NA><NA><NA><NA><NA>
20930300003030000004202300022023-12-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 511-4서울특별시 성동구 고산자로22길 13, 2층 (마장동)4748케이(top food)2023-12-04 15:59:31I2022-11-02 00:06:00.0식육가공업203356.252707451872.700665<NA><NA><NA><NA><NA>
21030300003030000004202400012024-03-26<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 성수동1가 656-439 서울숲비즈포레서울특별시 성동구 왕십리로10길 6, 서울숲비즈포레 지하201호 (성수동1가)4778유어네이키드치즈2024-03-26 17:24:28I2023-12-02 22:08:00.0유가공업203932.128445449386.913262<NA><NA><NA><NA><NA>