Overview

Dataset statistics

Number of variables30
Number of observations137
Missing cells866
Missing cells (%)21.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.0 KiB
Average record size in memory254.0 B

Variable types

Categorical12
Numeric5
DateTime5
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-18125/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (54.7%)Imbalance
영업상태명 is highly imbalanced (54.7%)Imbalance
상세영업상태코드 is highly imbalanced (69.1%)Imbalance
상세영업상태명 is highly imbalanced (69.1%)Imbalance
업태구분명 is highly imbalanced (84.8%)Imbalance
축산업무구분명 is highly imbalanced (59.7%)Imbalance
축산물가공업구분명 is highly imbalanced (65.1%)Imbalance
축산일련번호 is highly imbalanced (84.8%)Imbalance
총인원 is highly imbalanced (84.8%)Imbalance
인허가취소일자 has 137 (100.0%) missing valuesMissing
폐업일자 has 13 (9.5%) missing valuesMissing
휴업시작일자 has 137 (100.0%) missing valuesMissing
휴업종료일자 has 137 (100.0%) missing valuesMissing
재개업일자 has 107 (78.1%) missing valuesMissing
전화번호 has 22 (16.1%) missing valuesMissing
소재지우편번호 has 137 (100.0%) missing valuesMissing
도로명주소 has 87 (63.5%) missing valuesMissing
도로명우편번호 has 87 (63.5%) 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 51 (37.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:30:15.053488
Analysis finished2024-05-11 06:30:15.897871
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3230000
137 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 137
100.0%

Length

2024-05-11T15:30:16.018430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:16.220121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 137
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.23 × 1017
Minimum3.23 × 1017
Maximum3.23 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:30:16.415920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.23 × 1017
5-th percentile3.23 × 1017
Q13.23 × 1017
median3.23 × 1017
Q33.23 × 1017
95-th percentile3.23 × 1017
Maximum3.23 × 1017
Range329999
Interquartile range (IQR)110016

Descriptive statistics

Standard deviation69442.822
Coefficient of variation (CV)2.1499326 × 10-13
Kurtosis-0.33979089
Mean3.23 × 1017
Median Absolute Deviation (MAD)40000
Skewness0.50566219
Sum7.3575119 × 1018
Variance4.8223056 × 109
MonotonicityStrictly increasing
2024-05-11T15:30:16.717243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
323000000419910002 1
 
0.7%
323000000420080001 1
 
0.7%
323000000420050013 1
 
0.7%
323000000420060003 1
 
0.7%
323000000420060005 1
 
0.7%
323000000420060006 1
 
0.7%
323000000420060007 1
 
0.7%
323000000420070007 1
 
0.7%
323000000420080005 1
 
0.7%
323000000420110001 1
 
0.7%
Other values (127) 127
92.7%
ValueCountFrequency (%)
323000000419910002 1
0.7%
323000000419920001 1
0.7%
323000000419930001 1
0.7%
323000000419930002 1
0.7%
323000000419930003 1
0.7%
323000000419940001 1
0.7%
323000000419940004 1
0.7%
323000000419940005 1
0.7%
323000000419940006 1
0.7%
323000000419940007 1
0.7%
ValueCountFrequency (%)
323000000420240001 1
0.7%
323000000420230001 1
0.7%
323000000420200001 1
0.7%
323000000420170002 1
0.7%
323000000420170001 1
0.7%
323000000420160002 1
0.7%
323000000420160001 1
0.7%
323000000420150004 1
0.7%
323000000420150003 1
0.7%
323000000420150002 1
0.7%

인허가일자
Date

Distinct133
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1991-11-01 00:00:00
Maximum2024-03-25 00:00:00
2024-05-11T15:30:17.367278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:17.609771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
124 
1
13 

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 (%)
3 124
90.5%
1 13
 
9.5%

Length

2024-05-11T15:30:17.817286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:18.018421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 124
90.5%
1 13
 
9.5%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
124 
영업/정상
13 

Length

Max length5
Median length2
Mean length2.2846715
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 124
90.5%
영업/정상 13
 
9.5%

Length

2024-05-11T15:30:18.256453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:18.446160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 124
90.5%
영업/정상 13
 
9.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0002
124 
0000
 
12
BBBB
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0002
2nd row0002
3rd row0002
4th row0002
5th row0002

Common Values

ValueCountFrequency (%)
0002 124
90.5%
0000 12
 
8.8%
BBBB 1
 
0.7%

Length

2024-05-11T15:30:18.638637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:18.834484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0002 124
90.5%
0000 12
 
8.8%
bbbb 1
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
124 
정상
 
12
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0145985
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 124
90.5%
정상 12
 
8.8%
<NA> 1
 
0.7%

Length

2024-05-11T15:30:19.041738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:19.249396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 124
90.5%
정상 12
 
8.8%
na 1
 
0.7%

폐업일자
Date

MISSING 

Distinct119
Distinct (%)96.0%
Missing13
Missing (%)9.5%
Memory size1.2 KiB
Minimum1999-10-27 00:00:00
Maximum2023-10-26 00:00:00
2024-05-11T15:30:19.442822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:19.669871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Date

MISSING 

Distinct28
Distinct (%)93.3%
Missing107
Missing (%)78.1%
Memory size1.2 KiB
Minimum2016-11-22 00:00:00
Maximum2023-10-26 00:00:00
2024-05-11T15:30:19.899629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:20.123317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

전화번호
Text

MISSING 

Distinct112
Distinct (%)97.4%
Missing22
Missing (%)16.1%
Memory size1.2 KiB
2024-05-11T15:30:20.668020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.5565217
Min length7

Characters and Unicode

Total characters984
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

Unique109 ?
Unique (%)94.8%

Sample

1st row431-4077
2nd row406-3867
3rd row409-4060
4th row421-4764
5th row416-6785
ValueCountFrequency (%)
420-5844 2
 
1.7%
401-1214 2
 
1.7%
415-3330 2
 
1.7%
070-4612-3557 1
 
0.9%
1588-1977 1
 
0.9%
02-454-9700 1
 
0.9%
6402-8389 1
 
0.9%
404-2011 1
 
0.9%
404-7131 1
 
0.9%
431-0980 1
 
0.9%
Other values (102) 102
88.7%
2024-05-11T15:30:21.381422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 169
17.2%
- 124
12.6%
0 120
12.2%
1 97
9.9%
2 92
9.3%
3 84
8.5%
6 66
 
6.7%
8 59
 
6.0%
5 56
 
5.7%
9 56
 
5.7%
Other values (3) 61
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 854
86.8%
Dash Punctuation 124
 
12.6%
Math Symbol 3
 
0.3%
Close Punctuation 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 169
19.8%
0 120
14.1%
1 97
11.4%
2 92
10.8%
3 84
9.8%
6 66
 
7.7%
8 59
 
6.9%
5 56
 
6.6%
9 56
 
6.6%
7 55
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 984
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 169
17.2%
- 124
12.6%
0 120
12.2%
1 97
9.9%
2 92
9.3%
3 84
8.5%
6 66
 
6.7%
8 59
 
6.0%
5 56
 
5.7%
9 56
 
5.7%
Other values (3) 61
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 169
17.2%
- 124
12.6%
0 120
12.2%
1 97
9.9%
2 92
9.3%
3 84
8.5%
6 66
 
6.7%
8 59
 
6.0%
5 56
 
5.7%
9 56
 
5.7%
Other values (3) 61
 
6.2%

소재지면적
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.129197
Minimum0
Maximum234.09
Zeros51
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:30:21.614505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median59.04
Q3103.35
95-th percentile167.02
Maximum234.09
Range234.09
Interquartile range (IQR)103.35

Descriptive statistics

Standard deviation60.472271
Coefficient of variation (CV)0.97333096
Kurtosis-0.40460063
Mean62.129197
Median Absolute Deviation (MAD)59.04
Skewness0.62527906
Sum8511.7
Variance3656.8956
MonotonicityNot monotonic
2024-05-11T15:30:21.812368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 51
37.2%
164.94 1
 
0.7%
22.69 1
 
0.7%
93.25 1
 
0.7%
113.83 1
 
0.7%
83.35 1
 
0.7%
100.98 1
 
0.7%
73.82 1
 
0.7%
23.97 1
 
0.7%
102.68 1
 
0.7%
Other values (77) 77
56.2%
ValueCountFrequency (%)
0.0 51
37.2%
22.69 1
 
0.7%
23.49 1
 
0.7%
23.97 1
 
0.7%
33.26 1
 
0.7%
34.03 1
 
0.7%
38.4 1
 
0.7%
38.79 1
 
0.7%
41.5 1
 
0.7%
42.18 1
 
0.7%
ValueCountFrequency (%)
234.09 1
0.7%
223.21 1
0.7%
216.12 1
0.7%
193.75 1
0.7%
188.04 1
0.7%
178.2 1
0.7%
174.74 1
0.7%
165.09 1
0.7%
164.94 1
0.7%
159.86 1
0.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

지번주소
Text

Distinct133
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:30:22.233916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length26.948905
Min length17

Characters and Unicode

Total characters3692
Distinct characters73
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

Unique129 ?
Unique (%)94.2%

Sample

1st row서울특별시 송파구 오금동 5번지 지하1층
2nd row서울특별시 송파구 가락동 113번지 ,113-1,2
3rd row서울특별시 송파구 문정동 43-0008번지 지층
4th row서울특별시 송파구 방이동 131-0019번지 지상2층
5th row서울특별시 송파구 가락동 82-0003번지 지하1층
ValueCountFrequency (%)
서울특별시 137
20.1%
송파구 137
20.1%
지하1층 50
 
7.3%
문정동 32
 
4.7%
지상1층 26
 
3.8%
가락동 24
 
3.5%
지층 20
 
2.9%
오금동 18
 
2.6%
삼전동 11
 
1.6%
마천동 10
 
1.5%
Other values (161) 217
31.8%
2024-05-11T15:30:23.012178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
668
18.1%
1 239
 
6.5%
지 226
 
6.1%
0 191
 
5.2%
파 147
 
4.0%
송 146
 
4.0%
동 138
 
3.7%
서 137
 
3.7%
특 137
 
3.7%
별 137
 
3.7%
Other values (63) 1526
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2110
57.2%
Decimal Number 779
 
21.1%
Space Separator 668
 
18.1%
Dash Punctuation 119
 
3.2%
Other Punctuation 7
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 226
 
10.7%
파 147
 
7.0%
송 146
 
6.9%
동 138
 
6.5%
서 137
 
6.5%
특 137
 
6.5%
별 137
 
6.5%
시 137
 
6.5%
구 137
 
6.5%
울 137
 
6.5%
Other values (45) 631
29.9%
Decimal Number
ValueCountFrequency (%)
1 239
30.7%
0 191
24.5%
2 76
 
9.8%
3 62
 
8.0%
4 45
 
5.8%
5 41
 
5.3%
8 35
 
4.5%
9 31
 
4.0%
7 31
 
4.0%
6 28
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
R 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
668
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2110
57.2%
Common 1579
42.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 226
 
10.7%
파 147
 
7.0%
송 146
 
6.9%
동 138
 
6.5%
서 137
 
6.5%
특 137
 
6.5%
별 137
 
6.5%
시 137
 
6.5%
구 137
 
6.5%
울 137
 
6.5%
Other values (45) 631
29.9%
Common
ValueCountFrequency (%)
668
42.3%
1 239
 
15.1%
0 191
 
12.1%
- 119
 
7.5%
2 76
 
4.8%
3 62
 
3.9%
4 45
 
2.8%
5 41
 
2.6%
8 35
 
2.2%
9 31
 
2.0%
Other values (5) 72
 
4.6%
Latin
ValueCountFrequency (%)
K 1
33.3%
R 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2110
57.2%
ASCII 1582
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
668
42.2%
1 239
 
15.1%
0 191
 
12.1%
- 119
 
7.5%
2 76
 
4.8%
3 62
 
3.9%
4 45
 
2.8%
5 41
 
2.6%
8 35
 
2.2%
9 31
 
2.0%
Other values (8) 75
 
4.7%
Hangul
ValueCountFrequency (%)
지 226
 
10.7%
파 147
 
7.0%
송 146
 
6.9%
동 138
 
6.5%
서 137
 
6.5%
특 137
 
6.5%
별 137
 
6.5%
시 137
 
6.5%
구 137
 
6.5%
울 137
 
6.5%
Other values (45) 631
29.9%

도로명주소
Text

MISSING 

Distinct49
Distinct (%)98.0%
Missing87
Missing (%)63.5%
Memory size1.2 KiB
2024-05-11T15:30:23.496941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length32.16
Min length23

Characters and Unicode

Total characters1608
Distinct characters89
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)96.0%

Sample

1st row서울특별시 송파구 백제고분로21길 24, 지하1층 (삼전동)
2nd row서울특별시 송파구 새말로17길 6, 지하1층 (문정동)
3rd row서울특별시 송파구 성내천로 291 (마천동)
4th row서울특별시 송파구 동남로4길 26, 지층 (문정동)
5th row서울특별시 송파구 거마로9길 30, 지하1층 (거여동)
ValueCountFrequency (%)
서울특별시 50
 
16.1%
송파구 50
 
16.1%
지하1층 25
 
8.0%
문정동 14
 
4.5%
삼전동 7
 
2.3%
가락동 6
 
1.9%
6 5
 
1.6%
지층 5
 
1.6%
마천동 5
 
1.6%
오금동 5
 
1.6%
Other values (101) 139
44.7%
2024-05-11T15:30:24.299180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261
 
16.2%
1 77
 
4.8%
송 64
 
4.0%
파 58
 
3.6%
동 56
 
3.5%
, 53
 
3.3%
) 52
 
3.2%
( 52
 
3.2%
로 50
 
3.1%
울 50
 
3.1%
Other values (79) 835
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 947
58.9%
Space Separator 261
 
16.2%
Decimal Number 227
 
14.1%
Other Punctuation 53
 
3.3%
Close Punctuation 52
 
3.2%
Open Punctuation 52
 
3.2%
Dash Punctuation 9
 
0.6%
Lowercase Letter 4
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 64
 
6.8%
파 58
 
6.1%
동 56
 
5.9%
로 50
 
5.3%
울 50
 
5.3%
서 50
 
5.3%
구 50
 
5.3%
시 50
 
5.3%
별 50
 
5.3%
특 50
 
5.3%
Other values (57) 419
44.2%
Decimal Number
ValueCountFrequency (%)
1 77
33.9%
2 38
16.7%
4 21
 
9.3%
6 19
 
8.4%
5 18
 
7.9%
0 13
 
5.7%
3 13
 
5.7%
7 12
 
5.3%
9 10
 
4.4%
8 6
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
s 1
25.0%
r 1
25.0%
k 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
R 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
261
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 947
58.9%
Common 654
40.7%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 64
 
6.8%
파 58
 
6.1%
동 56
 
5.9%
로 50
 
5.3%
울 50
 
5.3%
서 50
 
5.3%
구 50
 
5.3%
시 50
 
5.3%
별 50
 
5.3%
특 50
 
5.3%
Other values (57) 419
44.2%
Common
ValueCountFrequency (%)
261
39.9%
1 77
 
11.8%
, 53
 
8.1%
) 52
 
8.0%
( 52
 
8.0%
2 38
 
5.8%
4 21
 
3.2%
6 19
 
2.9%
5 18
 
2.8%
0 13
 
2.0%
Other values (5) 50
 
7.6%
Latin
ValueCountFrequency (%)
K 1
14.3%
R 1
14.3%
B 1
14.3%
c 1
14.3%
s 1
14.3%
r 1
14.3%
k 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 947
58.9%
ASCII 661
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
261
39.5%
1 77
 
11.6%
, 53
 
8.0%
) 52
 
7.9%
( 52
 
7.9%
2 38
 
5.7%
4 21
 
3.2%
6 19
 
2.9%
5 18
 
2.7%
0 13
 
2.0%
Other values (12) 57
 
8.6%
Hangul
ValueCountFrequency (%)
송 64
 
6.8%
파 58
 
6.1%
동 56
 
5.9%
로 50
 
5.3%
울 50
 
5.3%
서 50
 
5.3%
구 50
 
5.3%
시 50
 
5.3%
별 50
 
5.3%
특 50
 
5.3%
Other values (57) 419
44.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)76.0%
Missing87
Missing (%)63.5%
Infinite0
Infinite (%)0.0%
Mean5700.64
Minimum5503
Maximum5831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:30:24.566599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5503
5-th percentile5549.3
Q15603.5
median5722.5
Q35798
95-th percentile5809.1
Maximum5831
Range328
Interquartile range (IQR)194.5

Descriptive statistics

Standard deviation97.090902
Coefficient of variation (CV)0.017031579
Kurtosis-1.2816745
Mean5700.64
Median Absolute Deviation (MAD)78
Skewness-0.3288726
Sum285032
Variance9426.6433
MonotonicityNot monotonic
2024-05-11T15:30:24.841400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5654 3
 
2.2%
5600 3
 
2.2%
5806 2
 
1.5%
5808 2
 
1.5%
5568 2
 
1.5%
5751 2
 
1.5%
5800 2
 
1.5%
5677 2
 
1.5%
5798 2
 
1.5%
5733 2
 
1.5%
Other values (28) 28
 
20.4%
(Missing) 87
63.5%
ValueCountFrequency (%)
5503 1
 
0.7%
5525 1
 
0.7%
5534 1
 
0.7%
5568 2
1.5%
5576 1
 
0.7%
5581 1
 
0.7%
5587 1
 
0.7%
5593 1
 
0.7%
5597 1
 
0.7%
5600 3
2.2%
ValueCountFrequency (%)
5831 1
0.7%
5829 1
0.7%
5810 1
0.7%
5808 2
1.5%
5806 2
1.5%
5805 1
0.7%
5801 1
0.7%
5800 2
1.5%
5799 1
0.7%
5798 2
1.5%

사업장명
Text

Distinct135
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:30:25.259783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13
Mean length6.8467153
Min length3

Characters and Unicode

Total characters938
Distinct characters227
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

Unique133 ?
Unique (%)97.1%

Sample

1st row(주)선야유통
2nd row(주)천하맛미트
3rd row타래식품
4th row이조식품
5th row(주)대농냉동
ValueCountFrequency (%)
주)토레인푸드 2
 
1.4%
프로스트푸드 2
 
1.4%
주)델리아 1
 
0.7%
피제이푸드시스템주식회사 1
 
0.7%
주)정암유통 1
 
0.7%
대덕외식산업(주 1
 
0.7%
티푸드 1
 
0.7%
주)이노에프앤에스 1
 
0.7%
다미원식품 1
 
0.7%
데일리미트베스트푸드 1
 
0.7%
Other values (133) 133
91.7%
2024-05-11T15:30:25.831779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 73
 
7.8%
) 66
 
7.0%
( 66
 
7.0%
드 43
 
4.6%
푸 39
 
4.2%
스 30
 
3.2%
식 25
 
2.7%
이 20
 
2.1%
품 16
 
1.7%
산 14
 
1.5%
Other values (217) 546
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 779
83.0%
Close Punctuation 66
 
7.0%
Open Punctuation 66
 
7.0%
Lowercase Letter 12
 
1.3%
Space Separator 8
 
0.9%
Uppercase Letter 6
 
0.6%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
 
9.4%
드 43
 
5.5%
푸 39
 
5.0%
스 30
 
3.9%
식 25
 
3.2%
이 20
 
2.6%
품 16
 
2.1%
산 14
 
1.8%
제 12
 
1.5%
트 12
 
1.5%
Other values (198) 495
63.5%
Lowercase Letter
ValueCountFrequency (%)
o 3
25.0%
s 2
16.7%
i 1
 
8.3%
c 1
 
8.3%
p 1
 
8.3%
e 1
 
8.3%
l 1
 
8.3%
a 1
 
8.3%
t 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
F 1
16.7%
C 1
16.7%
H 1
16.7%
G 1
16.7%
A 1
16.7%
N 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 779
83.0%
Common 141
 
15.0%
Latin 18
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
 
9.4%
드 43
 
5.5%
푸 39
 
5.0%
스 30
 
3.9%
식 25
 
3.2%
이 20
 
2.6%
품 16
 
2.1%
산 14
 
1.8%
제 12
 
1.5%
트 12
 
1.5%
Other values (198) 495
63.5%
Latin
ValueCountFrequency (%)
o 3
16.7%
s 2
 
11.1%
F 1
 
5.6%
C 1
 
5.6%
H 1
 
5.6%
i 1
 
5.6%
c 1
 
5.6%
p 1
 
5.6%
G 1
 
5.6%
e 1
 
5.6%
Other values (5) 5
27.8%
Common
ValueCountFrequency (%)
) 66
46.8%
( 66
46.8%
8
 
5.7%
3 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 779
83.0%
ASCII 159
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 73
 
9.4%
드 43
 
5.5%
푸 39
 
5.0%
스 30
 
3.9%
식 25
 
3.2%
이 20
 
2.6%
품 16
 
2.1%
산 14
 
1.8%
제 12
 
1.5%
트 12
 
1.5%
Other values (198) 495
63.5%
ASCII
ValueCountFrequency (%)
) 66
41.5%
( 66
41.5%
8
 
5.0%
o 3
 
1.9%
s 2
 
1.3%
F 1
 
0.6%
C 1
 
0.6%
H 1
 
0.6%
i 1
 
0.6%
c 1
 
0.6%
Other values (9) 9
 
5.7%

최종수정일자
Date

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2003-03-17 14:51:55
Maximum2024-03-27 10:18:28
2024-05-11T15:30:26.056859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:26.292358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
109 
U
28 

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 109
79.6%
U 28
 
20.4%

Length

2024-05-11T15:30:26.487247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:26.648199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 109
79.6%
u 28
 
20.4%

데이터갱신일자
Date

Distinct26
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:07:00
2024-05-11T15:30:26.798062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:26.972672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
식육가공업
134 
유가공업
 
3

Length

Max length5
Median length5
Mean length4.9781022
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 134
97.8%
유가공업 3
 
2.2%

Length

2024-05-11T15:30:27.170603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:27.378865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 134
97.8%
유가공업 3
 
2.2%

좌표정보(X)
Real number (ℝ)

Distinct118
Distinct (%)86.8%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean210763.21
Minimum207387.45
Maximum213671.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:30:27.549441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207387.45
5-th percentile207799.43
Q1210011.86
median211010.89
Q3211785.41
95-th percentile213172.24
Maximum213671.35
Range6283.8951
Interquartile range (IQR)1773.5471

Descriptive statistics

Standard deviation1509.9715
Coefficient of variation (CV)0.0071643033
Kurtosis-0.21379334
Mean210763.21
Median Absolute Deviation (MAD)835.57201
Skewness-0.58616901
Sum28663796
Variance2280014.1
MonotonicityNot monotonic
2024-05-11T15:30:27.720643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210011.864651721 4
 
2.9%
207968.428965825 3
 
2.2%
207508.066556801 3
 
2.2%
211176.343806174 2
 
1.5%
210806.064898948 2
 
1.5%
211940.403355822 2
 
1.5%
212584.783724253 2
 
1.5%
210933.673066433 2
 
1.5%
211037.400876762 2
 
1.5%
211279.789891114 2
 
1.5%
Other values (108) 112
81.8%
ValueCountFrequency (%)
207387.454947603 1
 
0.7%
207467.659111648 1
 
0.7%
207508.066556801 3
2.2%
207690.64312097 1
 
0.7%
207703.877906487 1
 
0.7%
207831.276360763 1
 
0.7%
207968.428965825 3
2.2%
207988.824731905 1
 
0.7%
208144.965850783 1
 
0.7%
208164.320431227 1
 
0.7%
ValueCountFrequency (%)
213671.350094068 1
0.7%
213370.322739915 2
1.5%
213301.850040366 1
0.7%
213218.889117629 1
0.7%
213212.195174473 1
0.7%
213178.463309539 1
0.7%
213170.166304542 1
0.7%
212860.467148542 1
0.7%
212785.915246577 2
1.5%
212597.675932013 1
0.7%

좌표정보(Y)
Real number (ℝ)

Distinct118
Distinct (%)86.8%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean444097.38
Minimum442274.41
Maximum447998.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:30:27.924799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442274.41
5-th percentile442477.17
Q1443423.56
median444115.9
Q3444790.54
95-th percentile445489.36
Maximum447998.31
Range5723.907
Interquartile range (IQR)1366.9828

Descriptive statistics

Standard deviation1097.885
Coefficient of variation (CV)0.0024721717
Kurtosis1.5410211
Mean444097.38
Median Absolute Deviation (MAD)688.13766
Skewness0.75221124
Sum60397244
Variance1205351.5
MonotonicityNot monotonic
2024-05-11T15:30:28.119231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444115.896830881 4
 
2.9%
444857.073508627 3
 
2.2%
444785.211644518 3
 
2.2%
442274.407292603 2
 
1.5%
443541.815757083 2
 
1.5%
443560.421528298 2
 
1.5%
443940.292887269 2
 
1.5%
445310.654011479 2
 
1.5%
442330.298349231 2
 
1.5%
442483.295003688 2
 
1.5%
Other values (108) 112
81.8%
ValueCountFrequency (%)
442274.407292603 2
1.5%
442330.298349231 2
1.5%
442351.597138592 1
0.7%
442449.591924521 1
0.7%
442458.80429221 1
0.7%
442483.295003688 2
1.5%
442544.50492662 1
0.7%
442560.861032709 1
0.7%
442610.542853137 1
0.7%
442623.665381798 1
0.7%
ValueCountFrequency (%)
447998.314259267 1
0.7%
447684.07616546 2
1.5%
447229.829463482 1
0.7%
445991.501043396 1
0.7%
445610.58738163 1
0.7%
445537.009087753 1
0.7%
445473.472072048 1
0.7%
445455.90405262 1
0.7%
445404.474006835 1
0.7%
445357.266451753 1
0.7%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
축산물가공업
126 
<NA>
 
11

Length

Max length6
Median length6
Mean length5.8394161
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 126
92.0%
<NA> 11
 
8.0%

Length

2024-05-11T15:30:28.400337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:28.606924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 126
92.0%
na 11
 
8.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
식육가공업
123 
<NA>
 
11
유가공업
 
3

Length

Max length5
Median length5
Mean length4.8978102
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 123
89.8%
<NA> 11
 
8.0%
유가공업 3
 
2.2%

Length

2024-05-11T15:30:28.769223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:28.937560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 123
89.8%
na 11
 
8.0%
유가공업 3
 
2.2%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
134 
0
 
3

Length

Max length4
Median length4
Mean length3.9343066
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> 134
97.8%
0 3
 
2.2%

Length

2024-05-11T15:30:29.128687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:29.320530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 134
97.8%
0 3
 
2.2%

권리주체일련번호
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
000
75 
L00
49 
<NA>
12 
L02
 
1

Length

Max length4
Median length3
Mean length3.0875912
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row000
2nd row000
3rd row000
4th row000
5th rowL02

Common Values

ValueCountFrequency (%)
000 75
54.7%
L00 49
35.8%
<NA> 12
 
8.8%
L02 1
 
0.7%

Length

2024-05-11T15:30:29.470874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:29.638359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 75
54.7%
l00 49
35.8%
na 12
 
8.8%
l02 1
 
0.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
134 
0
 
3

Length

Max length4
Median length4
Mean length3.9343066
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> 134
97.8%
0 3
 
2.2%

Length

2024-05-11T15:30:30.227819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:30.391517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 134
97.8%
0 3
 
2.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0323000032300000041991000219911101<NA>3폐업0002폐업20011213<NA><NA><NA>431-4077164.94<NA>서울특별시 송파구 오금동 5번지 지하1층<NA><NA>(주)선야유통2003-03-26 19:21:08I2018-08-31 23:59:59.0식육가공업211694.835115445200.005312축산물가공업식육가공업<NA>000<NA>
1323000032300000041992000119920703<NA>3폐업0002폐업20010628<NA><NA><NA>406-386796.58<NA>서울특별시 송파구 가락동 113번지 ,113-1,2<NA><NA>(주)천하맛미트2003-03-26 19:18:11I2018-08-31 23:59:59.0식육가공업210806.064899443541.815757축산물가공업식육가공업<NA>000<NA>
2323000032300000041993000119930814<NA>3폐업0002폐업20070126<NA><NA><NA>409-4060114.89<NA>서울특별시 송파구 문정동 43-0008번지 지층<NA><NA>타래식품2007-01-26 14:11:29I2018-08-31 23:59:59.0식육가공업210760.22668442954.59958축산물가공업식육가공업<NA>000<NA>
3323000032300000041993000219930802<NA>3폐업0002폐업20010207<NA><NA><NA>421-4764234.09<NA>서울특별시 송파구 방이동 131-0019번지 지상2층<NA><NA>이조식품2003-03-26 19:10:54I2018-08-31 23:59:59.0식육가공업210513.027316445265.070062축산물가공업식육가공업<NA>000<NA>
4323000032300000041993000319930730<NA>3폐업0002폐업20010824<NA><NA><NA><NA>59.04<NA>서울특별시 송파구 가락동 82-0003번지 지하1층<NA><NA>(주)대농냉동2003-03-26 19:45:30I2018-08-31 23:59:59.0식육가공업210473.897557443684.62312축산물가공업식육가공업<NA>L02<NA>
5323000032300000041994000119940909<NA>3폐업0002폐업20040830<NA><NA><NA>416-678590.61<NA>서울특별시 송파구 송파동 186-0003번지 지상1층<NA><NA>아시아농산(주)2004-08-30 13:29:29I2018-08-31 23:59:59.0식육가공업210011.864652444115.896831축산물가공업식육가공업<NA>L00<NA>
6323000032300000041994000419940419<NA>3폐업0002폐업20020412<NA><NA><NA>411-6085155.05<NA>서울특별시 송파구 잠실동 40-0001번지 지하1층<NA><NA>롯데쇼핑(주)잠실점2003-03-26 19:15:29I2018-08-31 23:59:59.0식육가공업208589.363343445455.904053축산물가공업식육가공업<NA>L00<NA>
7323000032300000041994000519941102<NA>3폐업0002폐업20020222<NA><NA><NA>443-1951103.35<NA>서울특별시 송파구 오금동 71-0007번지 지하1층<NA><NA>영미식품2003-03-26 19:16:50I2018-08-31 23:59:59.0식육가공업211797.262934444562.358916축산물가공업식육가공업<NA>000<NA>
8323000032300000041994000619940905<NA>3폐업0002폐업20010626<NA><NA><NA>425-4250174.74<NA>서울특별시 송파구 석촌동 297-0043번지 지하1층<NA><NA>안성농축개발(주)2003-03-26 19:22:10I2018-08-31 23:59:59.0식육가공업209631.150722444351.875697축산물가공업식육가공업<NA>000<NA>
9323000032300000041994000719940530<NA>3폐업0002폐업20010502<NA><NA><NA>406-2546178.2<NA>서울특별시 송파구 가락동 41-0001번지 지하1층<NA><NA>(주)보담2003-03-26 19:35:00I2018-08-31 23:59:59.0식육가공업210796.576192444200.4411축산물가공업식육가공업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
127323000032300000042015000220150720<NA>3폐업0002폐업20170320<NA><NA>2017032002-6472-55080.0<NA>서울특별시 송파구 가락동 113번지 지상4층서울특별시 송파구 중대로12길 6, 지상4층 (가락동)5829(주)굿투비푸드시스템2017-03-20 15:40:14I2018-08-31 23:59:59.0식육가공업210806.064899443541.815757축산물가공업식육가공업<NA>L00<NA>
128323000032300000042015000320150828<NA>3폐업0002폐업20160520<NA><NA><NA>02-400-65920.0<NA>서울특별시 송파구 마천동 176-23번지 지하1층서울특별시 송파구 거마로22길 49, 지하1층 (마천동, 범양빌딩)5751(주)신선한드림2016-05-20 14:36:18I2018-08-31 23:59:59.0식육가공업213370.32274443862.569612축산물가공업식육가공업<NA>L00<NA>
129323000032300000042015000420151207<NA>3폐업0002폐업20190219<NA><NA>2019021902-408-59150.0<NA>서울특별시 송파구 문정동 141-6번지 지하1층서울특별시 송파구 송이로37길 11, 지하1층 (문정동)5798늘봄푸드2019-02-19 15:16:58U2019-02-21 02:40:00.0식육가공업211808.392638442799.699198축산물가공업식육가공업<NA>000<NA>
130323000032300000042016000120160503<NA>1영업/정상0000정상<NA><NA><NA><NA>02-430-38110.0<NA>서울특별시 송파구 오금동 144-5번지 지상1층서울특별시 송파구 성내천로 110, 지상1층 (오금동)5742(주)구주2016-05-03 15:47:18I2018-08-31 23:59:59.0식육가공업212347.807011444173.762584축산물가공업식육가공업<NA>L00<NA>
131323000032300000042016000220161208<NA>3폐업0002폐업20201005<NA><NA>202010052140-95600.0<NA>서울특별시 송파구 문정동 111 지하1층,지상2층서울특별시 송파구 새말로 171, 지하1,지상2층 (문정동, 동양빌딩)5800존쿡 플랜트2020-10-06 15:02:54U2020-10-08 02:40:00.0식육가공업211566.922496442643.239394축산물가공업식육가공업<NA>L00<NA>
132323000032300000042017000120170202<NA>3폐업0002폐업20220124<NA><NA>20220124<NA>0.0<NA>서울특별시 송파구 방이동 137-8 지하서울특별시 송파구 백제고분로48길 41, 지하1층 (방이동)5633(주)인에프앤씨2022-01-24 15:11:18U2022-01-26 02:40:00.0식육가공업210323.703534445357.266452축산물가공업식육가공업0L000
133323000032300000042017000220170814<NA>3폐업0002폐업20220120<NA><NA>20220120070-4612-35570.0<NA>서울특별시 송파구 오금동 4-11 지하1층서울특별시 송파구 위례성대로 202, 지하1층 (오금동, 성보빌딩)5654(주)어니스트초이스2022-01-20 16:17:25U2022-01-22 02:40:00.0식육가공업211693.255032445233.606753축산물가공업식육가공업0L000
134323000032300000042020000120121116<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 송파구 문정동 9-1 레미안빌딩서울특별시 송파구 송이로 194, 레미안빌딩 2층 (문정동)5796히즈스쿱젤라또(Hisscoop Gelato)2020-09-24 14:01:14I2020-09-26 00:23:11.0유가공업211190.834273443144.417684축산물가공업유가공업<NA>000<NA>
13532300003230000004202300012023-12-28<NA>1영업/정상0000정상<NA><NA><NA><NA>02-406-11240.0<NA>서울특별시 송파구 오금동 5-4서울특별시 송파구 중대로 317-14, 지하1층 (오금동)5654꼼떼 주식회사2024-02-22 18:06:17U2023-12-01 22:04:00.0식육가공업211673.024482445193.418178<NA><NA><NA><NA><NA>
13632300003230000004202400012024-03-25<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 송파구 석촌동 60-8 한석빌딩서울특별시 송파구 백제고분로36길 26, 한석빌딩 4층 (석촌동)5614(주)델리아 코퍼레이션2024-03-27 10:18:28U2023-12-02 21:00:00.0식육가공업208865.513376444574.099815<NA><NA><NA><NA><NA>