Overview

Dataset statistics

Number of variables30
Number of observations26
Missing cells179
Missing cells (%)22.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory259.1 B

Variable types

Categorical11
Numeric5
DateTime6
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-18148/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
축산일련번호 is highly imbalanced (60.9%)Imbalance
총인원 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 6 (23.1%) missing valuesMissing
휴업시작일자 has 25 (96.2%) missing valuesMissing
휴업종료일자 has 25 (96.2%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 3 (11.5%) missing valuesMissing
소재지우편번호 has 26 (100.0%) missing valuesMissing
지번주소 has 2 (7.7%) missing valuesMissing
도로명주소 has 3 (11.5%) missing valuesMissing
도로명우편번호 has 9 (34.6%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.8%) missing valuesMissing
좌표정보(Y) has 1 (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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 13 (50.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:14:47.315000
Analysis finished2024-05-11 06:14:47.957452
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3210000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 26
100.0%

Length

2024-05-11T15:14:48.080663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:48.252202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 26
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2100001 × 1017
Minimum3.21 × 1017
Maximum3.2100001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:14:48.474518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.21 × 1017
5-th percentile3.21 × 1017
Q13.21 × 1017
median3.2100001 × 1017
Q33.2100001 × 1017
95-th percentile3.2100001 × 1017
Maximum3.2100001 × 1017
Range1.000017 × 1010
Interquartile range (IQR)1.0000113 × 1010

Descriptive statistics

Standard deviation5.0383642 × 109
Coefficient of variation (CV)1.5695838 × 10-8
Kurtosis-2.055336
Mean3.2100001 × 1017
Median Absolute Deviation (MAD)75008
Skewness-0.33079846
Sum8.3460002 × 1018
Variance2.5385114 × 1019
MonotonicityStrictly increasing
2024-05-11T15:14:48.854534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
321000000420050001 1
 
3.8%
321000010420130001 1
 
3.8%
321000010420220001 1
 
3.8%
321000010420200001 1
 
3.8%
321000010420190001 1
 
3.8%
321000010420170004 1
 
3.8%
321000010420170003 1
 
3.8%
321000010420170002 1
 
3.8%
321000010420170001 1
 
3.8%
321000010420160003 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
321000000420050001 1
3.8%
321000000420050002 1
3.8%
321000000420050003 1
3.8%
321000000420050004 1
3.8%
321000000420050005 1
3.8%
321000000420050006 1
3.8%
321000000420050007 1
3.8%
321000000420070001 1
3.8%
321000000420080002 1
3.8%
321000000420090001 1
3.8%
ValueCountFrequency (%)
321000010420220001 1
3.8%
321000010420200001 1
3.8%
321000010420190001 1
3.8%
321000010420170004 1
3.8%
321000010420170003 1
3.8%
321000010420170002 1
3.8%
321000010420170001 1
3.8%
321000010420160003 1
3.8%
321000010420160002 1
3.8%
321000010420160001 1
3.8%

인허가일자
Date

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2005-01-26 00:00:00
Maximum2022-01-05 00:00:00
2024-05-11T15:14:49.061012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:49.264853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
19 
1
5 
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
3 19
73.1%
1 5
 
19.2%
2 1
 
3.8%
4 1
 
3.8%

Length

2024-05-11T15:14:49.464025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:49.639566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 19
73.1%
1 5
 
19.2%
2 1
 
3.8%
4 1
 
3.8%

영업상태명
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
19 
영업/정상
5 
휴업
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.0384615
Min length2

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 19
73.1%
영업/정상 5
 
19.2%
휴업 1
 
3.8%
취소/말소/만료/정지/중지 1
 
3.8%

Length

2024-05-11T15:14:49.857144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:50.041282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
73.1%
영업/정상 5
 
19.2%
휴업 1
 
3.8%
취소/말소/만료/정지/중지 1
 
3.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
2
19 
0
5 
1
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
2 19
73.1%
0 5
 
19.2%
1 1
 
3.8%
4 1
 
3.8%

Length

2024-05-11T15:14:50.236661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:50.497166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 19
73.1%
0 5
 
19.2%
1 1
 
3.8%
4 1
 
3.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
19 
정상
5 
휴업
 
1
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 19
73.1%
정상 5
 
19.2%
휴업 1
 
3.8%
말소 1
 
3.8%

Length

2024-05-11T15:14:50.692353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:50.841936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
73.1%
정상 5
 
19.2%
휴업 1
 
3.8%
말소 1
 
3.8%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing6
Missing (%)23.1%
Memory size340.0 B
Minimum2005-07-27 00:00:00
Maximum2023-05-30 00:00:00
2024-05-11T15:14:50.972770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:51.132120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
Minimum2024-02-23 00:00:00
Maximum2024-02-23 00:00:00
2024-05-11T15:14:51.294213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:51.443301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
Minimum2024-06-30 00:00:00
Maximum2024-06-30 00:00:00
2024-05-11T15:14:51.585929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:51.746099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct20
Distinct (%)87.0%
Missing3
Missing (%)11.5%
Memory size340.0 B
2024-05-11T15:14:51.971797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10
Min length8

Characters and Unicode

Total characters230
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

Unique18 ?
Unique (%)78.3%

Sample

1st row571-9912
2nd row578-7235
3rd row593-2004
4th row02-525-2773
5th row571-0327
ValueCountFrequency (%)
02-3498-7855 3
 
13.0%
02-6408-7005 2
 
8.7%
571-9912 1
 
4.3%
598-3677 1
 
4.3%
02-579-5161 1
 
4.3%
02-598-6692 1
 
4.3%
02-587-2958 1
 
4.3%
02-6180-3033 1
 
4.3%
02-515-0565 1
 
4.3%
512-9631 1
 
4.3%
Other values (10) 10
43.5%
2024-05-11T15:14:52.515943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 35
15.2%
5 35
15.2%
2 29
12.6%
0 28
12.2%
3 19
8.3%
7 19
8.3%
9 18
7.8%
8 15
6.5%
6 12
 
5.2%
4 10
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 195
84.8%
Dash Punctuation 35
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 35
17.9%
2 29
14.9%
0 28
14.4%
3 19
9.7%
7 19
9.7%
9 18
9.2%
8 15
7.7%
6 12
 
6.2%
4 10
 
5.1%
1 10
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 35
15.2%
5 35
15.2%
2 29
12.6%
0 28
12.2%
3 19
8.3%
7 19
8.3%
9 18
7.8%
8 15
6.5%
6 12
 
5.2%
4 10
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 35
15.2%
5 35
15.2%
2 29
12.6%
0 28
12.2%
3 19
8.3%
7 19
8.3%
9 18
7.8%
8 15
6.5%
6 12
 
5.2%
4 10
 
4.3%

소재지면적
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.07577
Minimum0
Maximum422
Zeros13
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:14:52.692712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19.7
Q3266.75
95-th percentile413.275
Maximum422
Range422
Interquartile range (IQR)266.75

Descriptive statistics

Standard deviation156.30076
Coefficient of variation (CV)1.2203773
Kurtosis-1.0868552
Mean128.07577
Median Absolute Deviation (MAD)19.7
Skewness0.71744496
Sum3329.97
Variance24429.928
MonotonicityNot monotonic
2024-05-11T15:14:52.866940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 13
50.0%
71.38 1
 
3.8%
224.26 1
 
3.8%
39.4 1
 
3.8%
260.0 1
 
3.8%
105.7 1
 
3.8%
268.8 1
 
3.8%
293.23 1
 
3.8%
269.1 1
 
3.8%
422.0 1
 
3.8%
Other values (4) 4
 
15.4%
ValueCountFrequency (%)
0.0 13
50.0%
39.4 1
 
3.8%
71.38 1
 
3.8%
105.7 1
 
3.8%
224.26 1
 
3.8%
260.0 1
 
3.8%
260.6 1
 
3.8%
268.8 1
 
3.8%
269.1 1
 
3.8%
289.8 1
 
3.8%
ValueCountFrequency (%)
422.0 1
3.8%
413.7 1
3.8%
412.0 1
3.8%
293.23 1
3.8%
289.8 1
3.8%
269.1 1
3.8%
268.8 1
3.8%
260.6 1
3.8%
260.0 1
3.8%
224.26 1
3.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지번주소
Text

MISSING 

Distinct21
Distinct (%)87.5%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-05-11T15:14:53.146945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27.5
Mean length24.875
Min length13

Characters and Unicode

Total characters597
Distinct characters46
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)79.2%

Sample

1st row서울특별시 서초구 양재동 15-8번지 지하1층
2nd row서울특별시 서초구 양재동 255-2번지 지하1층
3rd row서울특별시 서초구 반포동 90-10번지 지하1층 2호
4th row서울특별시 서초구 서초동 1635-9 지하1층
5th row서울특별시 서초구 양재동 255-2번지 지하1층
ValueCountFrequency (%)
서울특별시 24
20.7%
서초구 24
20.7%
양재동 11
 
9.5%
지하1층 8
 
6.9%
서초동 4
 
3.4%
방배동 4
 
3.4%
230 3
 
2.6%
농협하나로클럽 3
 
2.6%
반포동 3
 
2.6%
255-2번지 2
 
1.7%
Other values (29) 30
25.9%
2024-05-11T15:14:53.660733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
17.6%
서 53
 
8.9%
1 32
 
5.4%
초 28
 
4.7%
특 24
 
4.0%
별 24
 
4.0%
시 24
 
4.0%
구 24
 
4.0%
동 24
 
4.0%
울 24
 
4.0%
Other values (36) 235
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
59.0%
Decimal Number 119
 
19.9%
Space Separator 105
 
17.6%
Dash Punctuation 20
 
3.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 53
15.1%
초 28
 
8.0%
특 24
 
6.8%
별 24
 
6.8%
시 24
 
6.8%
구 24
 
6.8%
동 24
 
6.8%
울 24
 
6.8%
지 22
 
6.2%
층 13
 
3.7%
Other values (23) 92
26.1%
Decimal Number
ValueCountFrequency (%)
1 32
26.9%
5 16
13.4%
2 15
12.6%
0 15
12.6%
3 11
 
9.2%
4 8
 
6.7%
7 7
 
5.9%
9 6
 
5.0%
6 6
 
5.0%
8 3
 
2.5%
Space Separator
ValueCountFrequency (%)
105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
59.0%
Common 245
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 53
15.1%
초 28
 
8.0%
특 24
 
6.8%
별 24
 
6.8%
시 24
 
6.8%
구 24
 
6.8%
동 24
 
6.8%
울 24
 
6.8%
지 22
 
6.2%
층 13
 
3.7%
Other values (23) 92
26.1%
Common
ValueCountFrequency (%)
105
42.9%
1 32
 
13.1%
- 20
 
8.2%
5 16
 
6.5%
2 15
 
6.1%
0 15
 
6.1%
3 11
 
4.5%
4 8
 
3.3%
7 7
 
2.9%
9 6
 
2.4%
Other values (3) 10
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
59.0%
ASCII 245
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
42.9%
1 32
 
13.1%
- 20
 
8.2%
5 16
 
6.5%
2 15
 
6.1%
0 15
 
6.1%
3 11
 
4.5%
4 8
 
3.3%
7 7
 
2.9%
9 6
 
2.4%
Other values (3) 10
 
4.1%
Hangul
ValueCountFrequency (%)
서 53
15.1%
초 28
 
8.0%
특 24
 
6.8%
별 24
 
6.8%
시 24
 
6.8%
구 24
 
6.8%
동 24
 
6.8%
울 24
 
6.8%
지 22
 
6.2%
층 13
 
3.7%
Other values (23) 92
26.1%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing3
Missing (%)11.5%
Memory size340.0 B
2024-05-11T15:14:54.030372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length31.869565
Min length25

Characters and Unicode

Total characters733
Distinct characters78
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

Unique20 ?
Unique (%)87.0%

Sample

1st row서울특별시 서초구 바우뫼로37길 46 (양재동,지하1층)
2nd row서울특별시 서초구 언남9길 7-11 (양재동,지하1층)
3rd row서울특별시 서초구 서래로 24 (반포동,지하1층 2호)
4th row서울특별시 서초구 서초대로64길 47 (서초동,지하1층)
5th row서울특별시 서초구 언남9길 7-11 (양재동)
ValueCountFrequency (%)
서울특별시 23
 
16.4%
서초구 23
 
16.4%
양재동 9
 
6.4%
지하1층 6
 
4.3%
1층 4
 
2.9%
방배동 3
 
2.1%
농협하나로클럽 3
 
2.1%
청계산로 3
 
2.1%
10 3
 
2.1%
잠원동 2
 
1.4%
Other values (55) 61
43.6%
2024-05-11T15:14:54.643251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
16.0%
서 52
 
7.1%
1 36
 
4.9%
초 27
 
3.7%
동 25
 
3.4%
별 23
 
3.1%
울 23
 
3.1%
( 23
 
3.1%
) 23
 
3.1%
시 23
 
3.1%
Other values (68) 361
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
60.2%
Space Separator 117
 
16.0%
Decimal Number 102
 
13.9%
Open Punctuation 23
 
3.1%
Close Punctuation 23
 
3.1%
Other Punctuation 23
 
3.1%
Dash Punctuation 3
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 52
 
11.8%
초 27
 
6.1%
동 25
 
5.7%
별 23
 
5.2%
울 23
 
5.2%
시 23
 
5.2%
구 23
 
5.2%
특 23
 
5.2%
로 22
 
5.0%
층 18
 
4.1%
Other values (52) 182
41.3%
Decimal Number
ValueCountFrequency (%)
1 36
35.3%
2 12
 
11.8%
4 10
 
9.8%
0 9
 
8.8%
3 9
 
8.8%
6 6
 
5.9%
7 6
 
5.9%
9 6
 
5.9%
5 4
 
3.9%
8 4
 
3.9%
Space Separator
ValueCountFrequency (%)
117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
60.2%
Common 291
39.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 52
 
11.8%
초 27
 
6.1%
동 25
 
5.7%
별 23
 
5.2%
울 23
 
5.2%
시 23
 
5.2%
구 23
 
5.2%
특 23
 
5.2%
로 22
 
5.0%
층 18
 
4.1%
Other values (52) 182
41.3%
Common
ValueCountFrequency (%)
117
40.2%
1 36
 
12.4%
( 23
 
7.9%
) 23
 
7.9%
, 23
 
7.9%
2 12
 
4.1%
4 10
 
3.4%
0 9
 
3.1%
3 9
 
3.1%
6 6
 
2.1%
Other values (5) 23
 
7.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
60.2%
ASCII 292
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
40.1%
1 36
 
12.3%
( 23
 
7.9%
) 23
 
7.9%
, 23
 
7.9%
2 12
 
4.1%
4 10
 
3.4%
0 9
 
3.1%
3 9
 
3.1%
6 6
 
2.1%
Other values (6) 24
 
8.2%
Hangul
ValueCountFrequency (%)
서 52
 
11.8%
초 27
 
6.1%
동 25
 
5.7%
별 23
 
5.2%
울 23
 
5.2%
시 23
 
5.2%
구 23
 
5.2%
특 23
 
5.2%
로 22
 
5.0%
층 18
 
4.1%
Other values (52) 182
41.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)82.4%
Missing9
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean6697.7059
Minimum6525
Maximum6797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:14:54.835403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6525
5-th percentile6526.6
Q16648
median6738
Q36777
95-th percentile6797
Maximum6797
Range272
Interquartile range (IQR)129

Descriptive statistics

Standard deviation103.97401
Coefficient of variation (CV)0.015523825
Kurtosis-0.92886006
Mean6697.7059
Median Absolute Deviation (MAD)58
Skewness-0.82463283
Sum113861
Variance10810.596
MonotonicityNot monotonic
2024-05-11T15:14:55.021311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6797 3
 
11.5%
6777 2
 
7.7%
6680 1
 
3.8%
6525 1
 
3.8%
6691 1
 
3.8%
6738 1
 
3.8%
6776 1
 
3.8%
6527 1
 
3.8%
6719 1
 
3.8%
6648 1
 
3.8%
Other values (4) 4
15.4%
(Missing) 9
34.6%
ValueCountFrequency (%)
6525 1
3.8%
6527 1
3.8%
6536 1
3.8%
6541 1
3.8%
6648 1
3.8%
6680 1
3.8%
6691 1
3.8%
6719 1
3.8%
6738 1
3.8%
6754 1
3.8%
ValueCountFrequency (%)
6797 3
11.5%
6781 1
 
3.8%
6777 2
7.7%
6776 1
 
3.8%
6754 1
 
3.8%
6738 1
 
3.8%
6719 1
 
3.8%
6691 1
 
3.8%
6680 1
 
3.8%
6648 1
 
3.8%

사업장명
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T15:14:55.372569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.1923077
Min length3

Characters and Unicode

Total characters213
Distinct characters100
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row한라식품
2nd row한원푸드시스템(주)
3rd row델리미트
4th row오늘애(주)
5th row웰던푸드코리아(주)
ValueCountFrequency (%)
농협양재하나로마트 2
 
6.9%
한원푸드시스템(주 1
 
3.4%
주식회사 1
 
3.4%
양재하나로클럽 1
 
3.4%
주)농협유통 1
 
3.4%
호관램푸드 1
 
3.4%
칠백식당 1
 
3.4%
주)칠프로 1
 
3.4%
주)한국푸드테크 1
 
3.4%
주)세광그린유통 1
 
3.4%
Other values (18) 18
62.1%
2024-05-11T15:14:55.935438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 19
 
8.9%
( 16
 
7.5%
) 16
 
7.5%
푸 6
 
2.8%
드 6
 
2.8%
이 4
 
1.9%
식 4
 
1.9%
통 4
 
1.9%
로 4
 
1.9%
유 4
 
1.9%
Other values (90) 130
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175
82.2%
Open Punctuation 16
 
7.5%
Close Punctuation 16
 
7.5%
Space Separator 3
 
1.4%
Uppercase Letter 2
 
0.9%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
10.9%
푸 6
 
3.4%
드 6
 
3.4%
이 4
 
2.3%
식 4
 
2.3%
통 4
 
2.3%
로 4
 
2.3%
유 4
 
2.3%
원 4
 
2.3%
스 4
 
2.3%
Other values (84) 116
66.3%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
B 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175
82.2%
Common 36
 
16.9%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
10.9%
푸 6
 
3.4%
드 6
 
3.4%
이 4
 
2.3%
식 4
 
2.3%
통 4
 
2.3%
로 4
 
2.3%
유 4
 
2.3%
원 4
 
2.3%
스 4
 
2.3%
Other values (84) 116
66.3%
Common
ValueCountFrequency (%)
( 16
44.4%
) 16
44.4%
3
 
8.3%
& 1
 
2.8%
Latin
ValueCountFrequency (%)
J 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175
82.2%
ASCII 38
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 19
 
10.9%
푸 6
 
3.4%
드 6
 
3.4%
이 4
 
2.3%
식 4
 
2.3%
통 4
 
2.3%
로 4
 
2.3%
유 4
 
2.3%
원 4
 
2.3%
스 4
 
2.3%
Other values (84) 116
66.3%
ASCII
ValueCountFrequency (%)
( 16
42.1%
) 16
42.1%
3
 
7.9%
J 1
 
2.6%
& 1
 
2.6%
B 1
 
2.6%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2005-07-27 11:25:15
Maximum2024-02-22 15:41:27
2024-05-11T15:14:56.160613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:56.368314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
U
15 
I
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 15
57.7%
I 11
42.3%

Length

2024-05-11T15:14:56.561734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:56.733516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 15
57.7%
i 11
42.3%

데이터갱신일자
Date

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 22:04:00
2024-05-11T15:14:56.855804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:57.008535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)88.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean202222.86
Minimum198444.34
Maximum204121.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:14:57.190568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198444.34
5-th percentile199038.83
Q1201433.42
median203028.07
Q3203719.14
95-th percentile203867.96
Maximum204121.41
Range5677.0725
Interquartile range (IQR)2285.7225

Descriptive statistics

Standard deviation1734.4009
Coefficient of variation (CV)0.0085766807
Kurtosis-0.42333082
Mean202222.86
Median Absolute Deviation (MAD)1072.8661
Skewness-0.82843382
Sum5055571.6
Variance3008146.6
MonotonicityNot monotonic
2024-05-11T15:14:57.375446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
203811.14583381 3
 
11.5%
203678.440399782 2
 
7.7%
203405.3404362 1
 
3.8%
201955.200140985 1
 
3.8%
203882.168323472 1
 
3.8%
201822.699827481 1
 
3.8%
203028.066289648 1
 
3.8%
200869.73000652 1
 
3.8%
201072.977826361 1
 
3.8%
203720.065 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
198444.336893077 1
3.8%
199016.830094731 1
3.8%
199126.826683107 1
3.8%
199795.776843503 1
3.8%
200869.73000652 1
3.8%
201072.977826361 1
3.8%
201433.422472302 1
3.8%
201472.668856726 1
3.8%
201510.736942793 1
3.8%
201822.699827481 1
3.8%
ValueCountFrequency (%)
204121.409421845 1
 
3.8%
203882.168323472 1
 
3.8%
203811.14583381 3
11.5%
203720.065 1
 
3.8%
203719.145 1
 
3.8%
203678.440399782 2
7.7%
203405.3404362 1
 
3.8%
203338.835285456 1
 
3.8%
203218.987576662 1
 
3.8%
203028.066289648 1
 
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)88.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean442505.45
Minimum440070.87
Maximum445988.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:14:57.588639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440070.87
5-th percentile440070.87
Q1441259.43
median442179.53
Q3443663.49
95-th percentile445644.52
Maximum445988.43
Range5917.5559
Interquartile range (IQR)2404.0554

Descriptive statistics

Standard deviation1720.2975
Coefficient of variation (CV)0.0038876301
Kurtosis-0.53203568
Mean442505.45
Median Absolute Deviation (MAD)936.73918
Skewness0.5368412
Sum11062636
Variance2959423.5
MonotonicityNot monotonic
2024-05-11T15:14:57.788066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
440070.874222824 3
 
11.5%
441242.791786723 2
 
7.7%
442448.312085974 1
 
3.8%
444676.935142758 1
 
3.8%
441259.434934798 1
 
3.8%
445232.994222545 1
 
3.8%
441469.566589457 1
 
3.8%
443060.884432029 1
 
3.8%
442179.530965029 1
 
3.8%
441266.785 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
440070.874222824 3
11.5%
441047.432131697 1
 
3.8%
441242.791786723 2
7.7%
441259.434934798 1
 
3.8%
441266.785 1
 
3.8%
441469.566589457 1
 
3.8%
441512.385 1
 
3.8%
442013.110191708 1
 
3.8%
442053.71449074 1
 
3.8%
442179.530965029 1
 
3.8%
ValueCountFrequency (%)
445988.430075169 1
3.8%
445747.396057887 1
3.8%
445232.994222545 1
3.8%
444676.935142758 1
3.8%
444193.267014675 1
3.8%
443879.359734194 1
3.8%
443663.490335992 1
3.8%
443495.30508397 1
3.8%
443060.884432029 1
3.8%
442501.762267455 1
3.8%

축산업무구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
식육포장처리업
15 
<NA>
11 

Length

Max length7
Median length7
Mean length5.7307692
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 15
57.7%
<NA> 11
42.3%

Length

2024-05-11T15:14:58.017113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:58.189929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 15
57.7%
na 11
42.3%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
식육포장처리업
15 
<NA>
11 

Length

Max length7
Median length7
Mean length5.7307692
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 15
57.7%
<NA> 11
42.3%

Length

2024-05-11T15:14:58.377712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:58.549735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 15
57.7%
na 11
42.3%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
0
 
2

Length

Max length4
Median length4
Mean length3.7692308
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> 24
92.3%
0 2
 
7.7%

Length

2024-05-11T15:14:58.710044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:58.861977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
0 2
 
7.7%

권리주체일련번호
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
11 
000
8 
L00
7 

Length

Max length4
Median length3
Mean length3.4230769
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd rowL00
3rd row000
4th row<NA>
5th rowL00

Common Values

ValueCountFrequency (%)
<NA> 11
42.3%
000 8
30.8%
L00 7
26.9%

Length

2024-05-11T15:14:59.038646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:59.198927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
42.3%
000 8
30.8%
l00 7
26.9%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
0
 
2

Length

Max length4
Median length4
Mean length3.7692308
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> 24
92.3%
0 2
 
7.7%

Length

2024-05-11T15:14:59.370709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:59.531207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
0 2
 
7.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0321000032100000042005000120050126<NA>3폐업2폐업20090128<NA><NA><NA>571-991271.38<NA>서울특별시 서초구 양재동 15-8번지 지하1층서울특별시 서초구 바우뫼로37길 46 (양재동,지하1층)<NA>한라식품2009-01-28 17:26:41I2018-08-31 23:59:59.0<NA>203338.835285442053.714491식육포장처리업식육포장처리업<NA>000<NA>
1321000032100000042005000220050126<NA>3폐업2폐업20111121<NA><NA><NA>578-7235224.26<NA>서울특별시 서초구 양재동 255-2번지 지하1층서울특별시 서초구 언남9길 7-11 (양재동,지하1층)<NA>한원푸드시스템(주)2011-11-21 17:23:30I2018-08-31 23:59:59.0<NA>203678.4404441242.791787식육포장처리업식육포장처리업<NA>L00<NA>
2321000032100000042005000320050126<NA>3폐업2폐업20110914<NA><NA><NA>593-200439.4<NA>서울특별시 서초구 반포동 90-10번지 지하1층 2호서울특별시 서초구 서래로 24 (반포동,지하1층 2호)<NA>델리미트2011-09-14 14:43:19I2018-08-31 23:59:59.0<NA>199795.776844443879.359734식육포장처리업식육포장처리업<NA>000<NA>
332100003210000004200500042005-02-19<NA>2휴업1휴업<NA>2024-02-232024-06-30<NA>02-525-2773260.0<NA>서울특별시 서초구 서초동 1635-9 지하1층서울특별시 서초구 서초대로64길 47 (서초동,지하1층)<NA>오늘애(주)2024-02-22 15:41:27U2023-12-01 22:04:00.0<NA>201826.043085443495.305084<NA><NA><NA><NA><NA>
4321000032100000042005000520050219<NA>3폐업2폐업20121224<NA><NA><NA>571-0327105.7<NA>서울특별시 서초구 양재동 255-2번지 지하1층서울특별시 서초구 언남9길 7-11 (양재동)6777웰던푸드코리아(주)2012-12-26 09:21:33I2018-08-31 23:59:59.0<NA>203678.4404441242.791787식육포장처리업식육포장처리업<NA>L00<NA>
5321000032100000042005000620050319<NA>1영업/정상0정상<NA><NA><NA><NA>02-535-1562268.8<NA>서울특별시 서초구 방배동 931-10서울특별시 서초구 방배중앙로 56, 지하1층 (방배동)6680(주)제주삼다수흑돼지유통2023-01-10 15:54:46U2022-11-30 23:02:00.0<NA>199126.826683442501.762267<NA><NA><NA><NA><NA>
6321000032100000042005000720050325<NA>3폐업2폐업20050727<NA><NA><NA>578-2999293.23<NA>서울특별시 서초구 양재동 391-5번지 지상1층, 지상2층서울특별시 서초구 동산로16길 20 (양재동,지상1층, 지상2층)<NA>늘존식품2005-07-27 11:25:15I2018-08-31 23:59:59.0<NA>204121.409422441047.432132식육포장처리업식육포장처리업<NA>000<NA>
7321000032100000042007000120071113<NA>3폐업2폐업20090306<NA><NA><NA><NA>0.0<NA>서울특별시 서초구 방배동 17-1번지서울특별시 서초구 방배로42길 19 (방배동)<NA>(주)뷰원2009-03-06 14:17:48I2018-08-31 23:59:59.0<NA>199016.830095443663.490336식육포장처리업식육포장처리업<NA>L00<NA>
8321000032100000042008000220080716<NA>3폐업2폐업20090313<NA><NA><NA>535-22270.0<NA>서울특별시 서초구 방배동 157-59번지 지하1층<NA><NA>J&B푸드시스템2009-03-13 15:54:18I2018-08-31 23:59:59.0<NA><NA><NA>식육포장처리업식육포장처리업<NA>000<NA>
9321000032100000042009000120090105<NA>3폐업2폐업20090804<NA><NA><NA><NA>0.0<NA>서울특별시 서초구 서초동 1684-0001번지 지층 14호<NA><NA>안동축산사랑(주)2009-08-04 10:43:48I2018-08-31 23:59:59.0<NA>201472.668857444193.267015식육포장처리업식육포장처리업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
1632100003210000104201600012016-03-31<NA>1영업/정상0정상<NA><NA><NA><NA>02-515-05650.0<NA>서울특별시 서초구 잠원동 25-12 지하1층서울특별시 서초구 나루터로12길 34, 지하1층 (잠원동)6527(주)에스플러스에이치이2023-08-22 10:48:22U2022-12-07 22:04:00.0<NA>201510.736943445747.396058<NA><NA><NA><NA><NA>
1732100003210000104201600022016-05-13<NA>3폐업2폐업2023-02-07<NA><NA><NA>02-6180-30330.0<NA>서울특별시 서초구 양재동 255-6서울특별시 서초구 언남길 49, 지하1층 (양재동)6777(주)감성고기2023-02-06 10:29:36U2022-12-02 00:08:00.0<NA>203720.065441266.785<NA><NA><NA><NA><NA>
18321000032100001042016000320160527<NA>3폐업2폐업20210616<NA><NA><NA>02-587-2958422.0<NA>서울특별시 서초구 서초동 1451-77 3층서울특별시 서초구 반포대로 12, 3층 (서초동)6719알짜인터내셔날(주)2021-06-16 15:25:10U2021-06-18 02:40:00.0<NA>201072.977826442179.530965식육포장처리업식육포장처리업<NA>L00<NA>
19321000032100001042017000120170414<NA>1영업/정상0정상<NA><NA><NA><NA>02-598-6692260.6<NA>서울특별시 서초구 서초동 1549-5 서현빌딩서울특별시 서초구 반포대로22길 35, 서현빌딩 지하1층, 1층 (서초동)6648(주)세광그린유통2022-02-07 11:30:11U2022-02-09 02:40:00.0<NA>200869.730007443060.884432식육포장처리업식육포장처리업0L000
20321000032100001042017000220170414<NA>1영업/정상0정상<NA><NA><NA><NA>02-579-5161412.0<NA>서울특별시 서초구 양재동 106-4 지하1층서울특별시 서초구 바우뫼로 126, 지하1층 (양재동, 동연빌딩)6754(주)한국푸드테크2023-01-09 13:32:47U2022-11-30 23:01:00.0<NA>203028.06629441469.566589<NA><NA><NA><NA><NA>
21321000032100001042017000320170425<NA>3폐업2폐업20221109<NA><NA><NA>02-6408-7005413.7<NA>서울특별시 서초구 반포동 722-1 103호서울특별시 서초구 강남대로89길 7, 103호 (반포동, 올릭스빌딩)6536(주)칠프로 칠백식당2022-11-09 13:36:09U2021-10-31 23:01:00.0<NA>201822.699827445232.994223<NA><NA><NA><NA><NA>
22321000032100001042017000420170802<NA>3폐업2폐업20190619<NA><NA><NA>02-529-4302289.8<NA>서울특별시 서초구 양재동 306-8번지 유림빌딩서울특별시 서초구 언남10길 17, 지하층 (양재동, 유림빌딩)6781호관램푸드2019-06-19 17:26:05U2019-06-21 02:40:00.0<NA>203882.168323441259.434935식육포장처리업식육포장처리업<NA>000<NA>
2332100003210000104201900012019-07-04<NA>3폐업2폐업2023-03-23<NA><NA><NA>02-3498-78550.0<NA>서울특별시 서초구 양재동 230 농협하나로클럽서울특별시 서초구 청계산로 10, 농협하나로클럽 1층 (양재동)6797농협양재하나로마트2023-03-23 12:34:46U2022-12-02 22:05:00.0<NA>203811.145834440070.874223<NA><NA><NA><NA><NA>
2432100003210000104202000012019-07-04<NA>3폐업2폐업2023-05-30<NA><NA><NA>02-3498-78550.0<NA>서울특별시 서초구 양재동 230 농협하나로클럽서울특별시 서초구 청계산로 10, 농협하나로클럽 1층 (양재동)6797(주)농협유통 양재하나로클럽2023-05-30 14:30:57U2022-12-06 00:01:00.0<NA>203811.145834440070.874223<NA><NA><NA><NA><NA>
2532100003210000104202200012022-01-05<NA>1영업/정상0정상<NA><NA><NA><NA>02-6408-70050.0<NA>서울특별시 서초구 반포동 747-12서울특별시 서초구 사평대로 365, 지하1층 (반포동)6541주식회사 홍원에프앤비2023-08-17 14:35:22U2022-12-07 23:09:00.0<NA>201955.200141444676.935143<NA><NA><NA><NA><NA>