Overview

Dataset statistics

Number of variables30
Number of observations33
Missing cells230
Missing cells (%)23.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory259.0 B

Variable types

Categorical12
Numeric6
DateTime4
Unsupported4
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-18138/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
축산일련번호 is highly imbalanced (80.4%)Imbalance
총인원 is highly imbalanced (80.4%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 8 (24.2%) missing valuesMissing
휴업시작일자 has 32 (97.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 31 (93.9%) missing valuesMissing
전화번호 has 3 (9.1%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
도로명주소 has 10 (30.3%) missing valuesMissing
도로명우편번호 has 10 (30.3%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
좌표정보(X) has 2 (6.1%) missing valuesMissing
좌표정보(Y) has 2 (6.1%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 26 (78.8%) zerosZeros

Reproduction

Analysis started2024-04-29 19:37:14.084698
Analysis finished2024-04-29 19:37:14.705546
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3110000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 33
100.0%

Length

2024-04-30T04:37:14.817786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:14.959226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 33
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1100001 × 1017
Minimum3.11 × 1017
Maximum3.1100001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:37:15.087774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.11 × 1017
5-th percentile3.11 × 1017
Q13.11 × 1017
median3.1100001 × 1017
Q33.1100001 × 1017
95-th percentile3.1100001 × 1017
Maximum3.1100001 × 1017
Range1.000023 × 1010
Interquartile range (IQR)1.000008 × 1010

Descriptive statistics

Standard deviation4.9620181 × 109
Coefficient of variation (CV)1.5955042 × 10-8
Kurtosis-1.9128536
Mean3.1100001 × 1017
Median Absolute Deviation (MAD)40000
Skewness-0.45507353
Sum-8.1837439 × 1018
Variance2.4621623 × 1019
MonotonicityStrictly increasing
2024-04-30T04:37:15.212206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
311000000419960001 1
 
3.0%
311000010420150002 1
 
3.0%
311000010420130003 1
 
3.0%
311000010420130004 1
 
3.0%
311000010420140001 1
 
3.0%
311000010420140002 1
 
3.0%
311000010420140003 1
 
3.0%
311000010420150001 1
 
3.0%
311000010420160001 1
 
3.0%
311000000420020001 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
311000000419960001 1
3.0%
311000000420020001 1
3.0%
311000000420040002 1
3.0%
311000000420060001 1
3.0%
311000000420060002 1
3.0%
311000000420060005 1
3.0%
311000000420070001 1
3.0%
311000000420070003 1
3.0%
311000000420070004 1
3.0%
311000000420080001 1
3.0%
ValueCountFrequency (%)
311000010420190001 1
3.0%
311000010420180001 1
3.0%
311000010420170001 1
3.0%
311000010420160004 1
3.0%
311000010420160003 1
3.0%
311000010420160002 1
3.0%
311000010420160001 1
3.0%
311000010420150002 1
3.0%
311000010420150001 1
3.0%
311000010420140003 1
3.0%

인허가일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1996-09-18 00:00:00
Maximum2019-11-05 00:00:00
2024-04-30T04:37:15.328739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:37:15.450288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
3
25 
1
7 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 25
75.8%
1 7
 
21.2%
2 1
 
3.0%

Length

2024-04-30T04:37:15.560799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:15.637067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 25
75.8%
1 7
 
21.2%
2 1
 
3.0%

영업상태명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
폐업
25 
영업/정상
7 
휴업
 
1

Length

Max length5
Median length2
Mean length2.6363636
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 25
75.8%
영업/정상 7
 
21.2%
휴업 1
 
3.0%

Length

2024-04-30T04:37:15.737710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:15.826702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 25
75.8%
영업/정상 7
 
21.2%
휴업 1
 
3.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
2
25 
0
7 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row2
2nd row0
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 25
75.8%
0 7
 
21.2%
1 1
 
3.0%

Length

2024-04-30T04:37:15.915800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:16.002680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 25
75.8%
0 7
 
21.2%
1 1
 
3.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
폐업
25 
정상
7 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 25
75.8%
정상 7
 
21.2%
휴업 1
 
3.0%

Length

2024-04-30T04:37:16.090210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:16.168809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 25
75.8%
정상 7
 
21.2%
휴업 1
 
3.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing8
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean20145014
Minimum20060307
Maximum20211118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:37:16.248290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060307
5-th percentile20070243
Q120100128
median20161221
Q320180302
95-th percentile20210382
Maximum20211118
Range150811
Interquartile range (IQR)80174

Descriptive statistics

Standard deviation49554.503
Coefficient of variation (CV)0.0024598893
Kurtosis-1.1959542
Mean20145014
Median Absolute Deviation (MAD)39593
Skewness-0.42269032
Sum5.0362534 × 108
Variance2.4556488 × 109
MonotonicityNot monotonic
2024-04-30T04:37:16.346907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20080403 1
 
3.0%
20210427 1
 
3.0%
20170206 1
 
3.0%
20180302 1
 
3.0%
20170124 1
 
3.0%
20161024 1
 
3.0%
20161228 1
 
3.0%
20160706 1
 
3.0%
20200814 1
 
3.0%
20211118 1
 
3.0%
Other values (15) 15
45.5%
(Missing) 8
24.2%
ValueCountFrequency (%)
20060307 1
3.0%
20070103 1
3.0%
20070802 1
3.0%
20071026 1
3.0%
20080403 1
3.0%
20090311 1
3.0%
20100128 1
3.0%
20110406 1
3.0%
20121214 1
3.0%
20140901 1
3.0%
ValueCountFrequency (%)
20211118 1
3.0%
20210427 1
3.0%
20210203 1
3.0%
20200814 1
3.0%
20190327 1
3.0%
20181204 1
3.0%
20180302 1
3.0%
20170421 1
3.0%
20170417 1
3.0%
20170206 1
3.0%

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
Minimum2023-12-22 00:00:00
Maximum2023-12-22 00:00:00
2024-04-30T04:37:16.437909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:37:16.521373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing31
Missing (%)93.9%
Memory size396.0 B
Minimum2003-11-11 00:00:00
Maximum2022-07-25 00:00:00
2024-04-30T04:37:16.603188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:37:16.676995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

전화번호
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing3
Missing (%)9.1%
Memory size396.0 B
2024-04-30T04:37:16.830914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length9.8
Min length8

Characters and Unicode

Total characters294
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

Unique28 ?
Unique (%)93.3%

Sample

1st row384-7750
2nd row305-5155
3rd row353-0092
4th row353-5376
5th row02-359-6560
ValueCountFrequency (%)
353-0092 2
 
6.7%
02-352-2509 1
 
3.3%
384-7750 1
 
3.3%
02-358-8437 1
 
3.3%
02-305-9282 1
 
3.3%
02-359-1754 1
 
3.3%
02-352-7912 1
 
3.3%
02-387-7710 1
 
3.3%
02-389-4500 1
 
3.3%
02-356-6669 1
 
3.3%
Other values (19) 19
63.3%
2024-04-30T04:37:17.118746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 47
16.0%
- 47
16.0%
0 40
13.6%
5 36
12.2%
2 33
11.2%
8 21
7.1%
9 20
6.8%
6 14
 
4.8%
7 13
 
4.4%
4 12
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
84.0%
Dash Punctuation 47
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 47
19.0%
0 40
16.2%
5 36
14.6%
2 33
13.4%
8 21
8.5%
9 20
8.1%
6 14
 
5.7%
7 13
 
5.3%
4 12
 
4.9%
1 11
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 294
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 47
16.0%
- 47
16.0%
0 40
13.6%
5 36
12.2%
2 33
11.2%
8 21
7.1%
9 20
6.8%
6 14
 
4.8%
7 13
 
4.4%
4 12
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 47
16.0%
- 47
16.0%
0 40
13.6%
5 36
12.2%
2 33
11.2%
8 21
7.1%
9 20
6.8%
6 14
 
4.8%
7 13
 
4.4%
4 12
 
4.1%

소재지면적
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.548485
Minimum0
Maximum748.4
Zeros26
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:37:17.231797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile126.944
Maximum748.4
Range748.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation132.3854
Coefficient of variation (CV)3.6221859
Kurtosis28.239099
Mean36.548485
Median Absolute Deviation (MAD)0
Skewness5.1772506
Sum1206.1
Variance17525.895
MonotonicityNot monotonic
2024-04-30T04:37:17.327261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 26
78.8%
58.05 1
 
3.0%
137.15 1
 
3.0%
120.14 1
 
3.0%
66.22 1
 
3.0%
16.74 1
 
3.0%
59.4 1
 
3.0%
748.4 1
 
3.0%
ValueCountFrequency (%)
0.0 26
78.8%
16.74 1
 
3.0%
58.05 1
 
3.0%
59.4 1
 
3.0%
66.22 1
 
3.0%
120.14 1
 
3.0%
137.15 1
 
3.0%
748.4 1
 
3.0%
ValueCountFrequency (%)
748.4 1
 
3.0%
137.15 1
 
3.0%
120.14 1
 
3.0%
66.22 1
 
3.0%
59.4 1
 
3.0%
58.05 1
 
3.0%
16.74 1
 
3.0%
0.0 26
78.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

지번주소
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-30T04:37:17.507407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length22.636364
Min length17

Characters and Unicode

Total characters747
Distinct characters54
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

Unique31 ?
Unique (%)93.9%

Sample

1st row서울특별시 은평구 진관동 85번지 내츄럴파크 B동104호
2nd row서울특별시 은평구 응암동 695-6 1,2층
3rd row서울특별시 은평구 역촌동 20-48번지
4th row서울특별시 은평구 대조동 26-14번지
5th row서울특별시 은평구 응암동 97-9번지
ValueCountFrequency (%)
서울특별시 33
22.8%
은평구 33
22.8%
응암동 8
 
5.5%
갈현동 7
 
4.8%
역촌동 5
 
3.4%
1층 4
 
2.8%
증산동 3
 
2.1%
대조동 2
 
1.4%
신사동 2
 
1.4%
구산동 2
 
1.4%
Other values (43) 46
31.7%
2024-04-30T04:37:17.825835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
18.6%
구 35
 
4.7%
동 35
 
4.7%
서 33
 
4.4%
특 33
 
4.4%
별 33
 
4.4%
시 33
 
4.4%
은 33
 
4.4%
평 33
 
4.4%
울 33
 
4.4%
Other values (44) 307
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
58.0%
Decimal Number 141
 
18.9%
Space Separator 139
 
18.6%
Dash Punctuation 31
 
4.1%
Uppercase Letter 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 35
 
8.1%
동 35
 
8.1%
서 33
 
7.6%
특 33
 
7.6%
별 33
 
7.6%
시 33
 
7.6%
은 33
 
7.6%
평 33
 
7.6%
울 33
 
7.6%
지 26
 
6.0%
Other values (29) 106
24.5%
Decimal Number
ValueCountFrequency (%)
1 24
17.0%
5 20
14.2%
3 16
11.3%
9 15
10.6%
2 15
10.6%
4 14
9.9%
6 13
9.2%
8 10
7.1%
0 10
7.1%
7 4
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
58.0%
Common 312
41.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 35
 
8.1%
동 35
 
8.1%
서 33
 
7.6%
특 33
 
7.6%
별 33
 
7.6%
시 33
 
7.6%
은 33
 
7.6%
평 33
 
7.6%
울 33
 
7.6%
지 26
 
6.0%
Other values (29) 106
24.5%
Common
ValueCountFrequency (%)
139
44.6%
- 31
 
9.9%
1 24
 
7.7%
5 20
 
6.4%
3 16
 
5.1%
9 15
 
4.8%
2 15
 
4.8%
4 14
 
4.5%
6 13
 
4.2%
8 10
 
3.2%
Other values (3) 15
 
4.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
58.0%
ASCII 314
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
44.3%
- 31
 
9.9%
1 24
 
7.6%
5 20
 
6.4%
3 16
 
5.1%
9 15
 
4.8%
2 15
 
4.8%
4 14
 
4.5%
6 13
 
4.1%
8 10
 
3.2%
Other values (5) 17
 
5.4%
Hangul
ValueCountFrequency (%)
구 35
 
8.1%
동 35
 
8.1%
서 33
 
7.6%
특 33
 
7.6%
별 33
 
7.6%
시 33
 
7.6%
은 33
 
7.6%
평 33
 
7.6%
울 33
 
7.6%
지 26
 
6.0%
Other values (29) 106
24.5%

도로명주소
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing10
Missing (%)30.3%
Memory size396.0 B
2024-04-30T04:37:18.015997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length25.826087
Min length22

Characters and Unicode

Total characters594
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 응암로4길 18-14 (응암동)
2nd row서울특별시 은평구 증산로 327 (증산동)
3rd row서울특별시 은평구 연서로19길 13 (갈현동)
4th row서울특별시 은평구 역말로 54 (역촌동)
5th row서울특별시 은평구 은평로12길 4 (응암동)
ValueCountFrequency (%)
서울특별시 23
18.7%
은평구 23
18.7%
응암동 5
 
4.1%
갈현동 5
 
4.1%
1층 4
 
3.3%
역촌동 4
 
3.3%
증산동 3
 
2.4%
19 2
 
1.6%
연서로3길 2
 
1.6%
15 2
 
1.6%
Other values (44) 50
40.7%
2024-04-30T04:37:18.301363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
16.8%
서 33
 
5.6%
은 25
 
4.2%
평 25
 
4.2%
구 24
 
4.0%
울 23
 
3.9%
특 23
 
3.9%
별 23
 
3.9%
시 23
 
3.9%
) 23
 
3.9%
Other values (47) 272
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
59.9%
Space Separator 100
 
16.8%
Decimal Number 80
 
13.5%
Close Punctuation 23
 
3.9%
Open Punctuation 23
 
3.9%
Other Punctuation 8
 
1.3%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 33
 
9.3%
은 25
 
7.0%
평 25
 
7.0%
구 24
 
6.7%
울 23
 
6.5%
특 23
 
6.5%
별 23
 
6.5%
시 23
 
6.5%
동 23
 
6.5%
로 21
 
5.9%
Other values (32) 113
31.7%
Decimal Number
ValueCountFrequency (%)
1 20
25.0%
2 12
15.0%
3 9
11.2%
5 7
 
8.8%
7 7
 
8.8%
9 7
 
8.8%
4 7
 
8.8%
0 5
 
6.2%
8 4
 
5.0%
6 2
 
2.5%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
59.9%
Common 238
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 33
 
9.3%
은 25
 
7.0%
평 25
 
7.0%
구 24
 
6.7%
울 23
 
6.5%
특 23
 
6.5%
별 23
 
6.5%
시 23
 
6.5%
동 23
 
6.5%
로 21
 
5.9%
Other values (32) 113
31.7%
Common
ValueCountFrequency (%)
100
42.0%
) 23
 
9.7%
( 23
 
9.7%
1 20
 
8.4%
2 12
 
5.0%
3 9
 
3.8%
, 8
 
3.4%
5 7
 
2.9%
7 7
 
2.9%
9 7
 
2.9%
Other values (5) 22
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
59.9%
ASCII 238
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
42.0%
) 23
 
9.7%
( 23
 
9.7%
1 20
 
8.4%
2 12
 
5.0%
3 9
 
3.8%
, 8
 
3.4%
5 7
 
2.9%
7 7
 
2.9%
9 7
 
2.9%
Other values (5) 22
 
9.2%
Hangul
ValueCountFrequency (%)
서 33
 
9.3%
은 25
 
7.0%
평 25
 
7.0%
구 24
 
6.7%
울 23
 
6.5%
특 23
 
6.5%
별 23
 
6.5%
시 23
 
6.5%
동 23
 
6.5%
로 21
 
5.9%
Other values (32) 113
31.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing10
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean3420.1304
Minimum3314
Maximum3499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:37:18.406340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3314
5-th percentile3326.2
Q13353
median3421
Q33482.5
95-th percentile3496.9
Maximum3499
Range185
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation65.020489
Coefficient of variation (CV)0.019011114
Kurtosis-1.3831183
Mean3420.1304
Median Absolute Deviation (MAD)64
Skewness-0.37606857
Sum78663
Variance4227.664
MonotonicityNot monotonic
2024-04-30T04:37:18.510800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3485 2
 
6.1%
3499 1
 
3.0%
3326 1
 
3.0%
3496 1
 
3.0%
3419 1
 
3.0%
3314 1
 
3.0%
3441 1
 
3.0%
3364 1
 
3.0%
3421 1
 
3.0%
3328 1
 
3.0%
Other values (12) 12
36.4%
(Missing) 10
30.3%
ValueCountFrequency (%)
3314 1
3.0%
3326 1
3.0%
3328 1
3.0%
3332 1
3.0%
3336 1
3.0%
3342 1
3.0%
3364 1
3.0%
3402 1
3.0%
3411 1
3.0%
3418 1
3.0%
ValueCountFrequency (%)
3499 1
3.0%
3497 1
3.0%
3496 1
3.0%
3486 1
3.0%
3485 2
6.1%
3480 1
3.0%
3473 1
3.0%
3462 1
3.0%
3446 1
3.0%
3441 1
3.0%

사업장명
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-30T04:37:18.676895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length5.9090909
Min length2

Characters and Unicode

Total characters195
Distinct characters100
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row마니식품
2nd row(주)천하엠엔에프
3rd row삼영식품
4th row세계로축산물도매센타
5th row(주)일가네
ValueCountFrequency (%)
진성그린푸드 2
 
5.3%
에프엔씨 1
 
2.6%
주)처음마음 1
 
2.6%
삼복유통 1
 
2.6%
천하미트 1
 
2.6%
태윤미트 1
 
2.6%
참그린 1
 
2.6%
고기의모든것 1
 
2.6%
자연사랑 1
 
2.6%
그레한우 1
 
2.6%
Other values (27) 27
71.1%
2024-04-30T04:37:18.961815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 7
 
3.6%
식 7
 
3.6%
푸 7
 
3.6%
드 7
 
3.6%
) 6
 
3.1%
유 6
 
3.1%
통 6
 
3.1%
( 6
 
3.1%
품 6
 
3.1%
5
 
2.6%
Other values (90) 132
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
90.3%
Close Punctuation 6
 
3.1%
Open Punctuation 6
 
3.1%
Space Separator 5
 
2.6%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7
 
4.0%
식 7
 
4.0%
푸 7
 
4.0%
드 7
 
4.0%
유 6
 
3.4%
통 6
 
3.4%
품 6
 
3.4%
세 5
 
2.8%
그 4
 
2.3%
성 3
 
1.7%
Other values (85) 118
67.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
90.3%
Common 17
 
8.7%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7
 
4.0%
식 7
 
4.0%
푸 7
 
4.0%
드 7
 
4.0%
유 6
 
3.4%
통 6
 
3.4%
품 6
 
3.4%
세 5
 
2.8%
그 4
 
2.3%
성 3
 
1.7%
Other values (85) 118
67.0%
Common
ValueCountFrequency (%)
) 6
35.3%
( 6
35.3%
5
29.4%
Latin
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
90.3%
ASCII 19
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 7
 
4.0%
식 7
 
4.0%
푸 7
 
4.0%
드 7
 
4.0%
유 6
 
3.4%
통 6
 
3.4%
품 6
 
3.4%
세 5
 
2.8%
그 4
 
2.3%
성 3
 
1.7%
Other values (85) 118
67.0%
ASCII
ValueCountFrequency (%)
) 6
31.6%
( 6
31.6%
5
26.3%
S 1
 
5.3%
M 1
 
5.3%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2006-03-07 13:40:43
Maximum2023-12-22 14:30:59
2024-04-30T04:37:19.064211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:37:19.161529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
21 
U
12 

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 21
63.6%
U 12
36.4%

Length

2024-04-30T04:37:19.265348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:19.356617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
63.6%
u 12
36.4%

데이터갱신일자
Categorical

Distinct13
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
2018-08-31 23:59:59.0
21 
2022-12-02 00:02:00.0
 
1
2019-03-29 02:40:00.0
 
1
2022-12-04 00:06:00.0
 
1
2021-02-05 02:40:00.0
 
1
Other values (8)
8 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique12 ?
Unique (%)36.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2022-12-02 00:02:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 21
63.6%
2022-12-02 00:02:00.0 1
 
3.0%
2019-03-29 02:40:00.0 1
 
3.0%
2022-12-04 00:06:00.0 1
 
3.0%
2021-02-05 02:40:00.0 1
 
3.0%
2018-12-06 02:40:00.0 1
 
3.0%
2021-11-21 02:40:00.0 1
 
3.0%
2020-08-16 02:40:00.0 1
 
3.0%
2021-12-06 23:06:00.0 1
 
3.0%
2021-12-08 00:07:00.0 1
 
3.0%
Other values (3) 3
 
9.1%

Length

2024-04-30T04:37:19.465451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 21
31.8%
23:59:59.0 21
31.8%
02:40:00.0 7
 
10.6%
2020-08-16 1
 
1.5%
2022-11-01 1
 
1.5%
2019-03-01 1
 
1.5%
2021-04-29 1
 
1.5%
00:07:00.0 1
 
1.5%
2021-12-08 1
 
1.5%
23:06:00.0 1
 
1.5%
Other values (10) 10
15.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)93.5%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean192582.4
Minimum189813.97
Maximum194324.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:37:19.573299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189813.97
5-th percentile191575.38
Q1192184.51
median192444.49
Q3193346.92
95-th percentile193716.97
Maximum194324.5
Range4510.5351
Interquartile range (IQR)1162.4102

Descriptive statistics

Standard deviation841.68386
Coefficient of variation (CV)0.0043705129
Kurtosis2.9566183
Mean192582.4
Median Absolute Deviation (MAD)343.26874
Skewness-0.73873168
Sum5970054.4
Variance708431.71
MonotonicityNot monotonic
2024-04-30T04:37:19.676018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
193421.278274753 2
 
6.1%
192391.619418954 2
 
6.1%
191476.852501832 1
 
3.0%
191944.229923073 1
 
3.0%
192010.381153334 1
 
3.0%
192163.142684738 1
 
3.0%
192774.752041465 1
 
3.0%
192087.715588997 1
 
3.0%
193956.944208494 1
 
3.0%
192444.489311321 1
 
3.0%
Other values (19) 19
57.6%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
189813.967055659 1
3.0%
191476.852501832 1
3.0%
191673.91034147 1
3.0%
191944.229923073 1
3.0%
192010.381153334 1
3.0%
192087.715588997 1
3.0%
192101.220573074 1
3.0%
192163.142684738 1
3.0%
192205.868722451 1
3.0%
192279.377304238 1
3.0%
ValueCountFrequency (%)
194324.502180001 1
3.0%
193956.944208494 1
3.0%
193476.992503331 1
3.0%
193430.242312807 1
3.0%
193421.278274753 2
6.1%
193391.469166166 1
3.0%
193382.293567906 1
3.0%
193311.538309623 1
3.0%
192774.752041465 1
3.0%
192666.111954263 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)93.5%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean455849.55
Minimum453451.83
Maximum459336.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:37:19.959271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453451.83
5-th percentile453755.67
Q1454570.36
median455613.68
Q3456915.97
95-th percentile458147.7
Maximum459336.06
Range5884.2372
Interquartile range (IQR)2345.6149

Descriptive statistics

Standard deviation1532.6186
Coefficient of variation (CV)0.0033621151
Kurtosis-0.6208805
Mean455849.55
Median Absolute Deviation (MAD)1239.348
Skewness0.23725435
Sum14131336
Variance2348919.9
MonotonicityNot monotonic
2024-04-30T04:37:20.057751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
455337.301951236 2
 
6.1%
453912.933931827 2
 
6.1%
454444.28197608 1
 
3.0%
456978.918777101 1
 
3.0%
453787.711574062 1
 
3.0%
455613.681284671 1
 
3.0%
458284.453164488 1
 
3.0%
454696.436367512 1
 
3.0%
456853.029323658 1
 
3.0%
455554.401637053 1
 
3.0%
Other values (19) 19
57.6%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
453451.827098474 1
3.0%
453737.567360709 1
3.0%
453773.77175269 1
3.0%
453787.711574062 1
3.0%
453912.933931827 2
6.1%
454339.111533589 1
3.0%
454444.28197608 1
3.0%
454696.436367512 1
3.0%
455214.302813118 1
3.0%
455337.301951236 2
6.1%
ValueCountFrequency (%)
459336.064333802 1
3.0%
458284.453164488 1
3.0%
458010.937065068 1
3.0%
457720.562843798 1
3.0%
457613.863896017 1
3.0%
457318.595371119 1
3.0%
457077.867356677 1
3.0%
456978.918777101 1
3.0%
456853.029323658 1
3.0%
456821.218817854 1
3.0%

축산업무구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
식육포장처리업
28 
<NA>
5 

Length

Max length7
Median length7
Mean length6.5454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 28
84.8%
<NA> 5
 
15.2%

Length

2024-04-30T04:37:20.173258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:20.259866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 28
84.8%
na 5
 
15.2%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
식육포장처리업
28 
<NA>
5 

Length

Max length7
Median length7
Mean length6.5454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 28
84.8%
<NA> 5
 
15.2%

Length

2024-04-30T04:37:20.345354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:20.423624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 28
84.8%
na 5
 
15.2%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:37:20.514372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:20.596282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

권리주체일련번호
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
000
24 
<NA>
5 
L00
4 

Length

Max length4
Median length3
Mean length3.1515152
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 24
72.7%
<NA> 5
 
15.2%
L00 4
 
12.1%

Length

2024-04-30T04:37:20.674571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:20.760204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 24
72.7%
na 5
 
15.2%
l00 4
 
12.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:37:20.859400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:37:20.942252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0311000031100000041996000119960918<NA>3폐업2폐업20170421<NA><NA><NA>384-775058.05<NA>서울특별시 은평구 진관동 85번지 내츄럴파크 B동104호<NA><NA>마니식품2017-04-21 09:42:58I2018-08-31 23:59:59.0<NA>193391.469166459336.064334식육포장처리업식육포장처리업<NA>000<NA>
131100003110000004200200012002-10-29<NA>1영업/정상0정상<NA><NA><NA>2003-11-11305-5155137.15<NA>서울특별시 은평구 응암동 695-6 1,2층서울특별시 은평구 응암로4길 18-14 (응암동)3480(주)천하엠엔에프2023-01-31 13:17:04U2022-12-02 00:02:00.0<NA>192666.111954453773.771753<NA><NA><NA><NA><NA>
2311000031100000042004000220041202<NA>3폐업2폐업20080403<NA><NA><NA>353-00920.0<NA>서울특별시 은평구 역촌동 20-48번지<NA><NA>삼영식품2008-04-03 16:17:17I2018-08-31 23:59:59.0<NA><NA><NA>식육포장처리업식육포장처리업<NA>000<NA>
3311000031100000042006000120060125<NA>3폐업2폐업20060307<NA><NA><NA>353-5376120.14<NA>서울특별시 은평구 대조동 26-14번지<NA><NA>세계로축산물도매센타2006-03-07 13:40:43I2018-08-31 23:59:59.0<NA>193430.242313456311.991642식육포장처리업식육포장처리업<NA>000<NA>
4311000031100000042006000220060414<NA>3폐업2폐업20070103<NA><NA><NA>02-359-656066.22<NA>서울특별시 은평구 응암동 97-9번지<NA><NA>(주)일가네2007-01-03 13:50:55I2018-08-31 23:59:59.0<NA>193421.278275455337.301951식육포장처리업식육포장처리업<NA>L00<NA>
5311000031100000042006000520060622<NA>3폐업2폐업20071026<NA><NA><NA>354-366916.74<NA>서울특별시 은평구 갈현동 506-41번지<NA><NA>초록푸드2007-10-26 16:49:52I2018-08-31 23:59:59.0<NA>192279.377304457077.867357식육포장처리업식육포장처리업<NA>000<NA>
6311000031100000042007000120070316<NA>3폐업2폐업20070802<NA><NA><NA>305-94750.0<NA>서울특별시 은평구 응암동 618-5번지 가동 A호<NA><NA>혜령이네정육2007-08-02 09:20:15I2018-08-31 23:59:59.0<NA><NA><NA>식육포장처리업식육포장처리업<NA>000<NA>
7311000031100000042007000320070910<NA>3폐업2폐업20090311<NA><NA><NA>386-45130.0<NA>서울특별시 은평구 갈현동 445-13번지<NA><NA>돼지유통2009-03-11 17:34:33I2018-08-31 23:59:59.0<NA>192427.837322457613.863896식육포장처리업식육포장처리업<NA>000<NA>
8311000031100000042007000420071212<NA>3폐업2폐업20140901<NA><NA><NA>307-10040.0<NA>서울특별시 은평구 증산동 163-10번지서울특별시 은평구 증산로 327 (증산동)3497(주)숲풀림식품2014-09-01 16:43:03I2018-08-31 23:59:59.0<NA>192101.220573453737.567361식육포장처리업식육포장처리업<NA>L00<NA>
9311000031100000042008000120081208<NA>3폐업2폐업20170417<NA><NA><NA>359-17540.0<NA>서울특별시 은평구 갈현동 470-11번지서울특별시 은평구 연서로19길 13 (갈현동)3336세계로유통2017-04-17 16:45:43I2018-08-31 23:59:59.0<NA>192505.548983456821.218818식육포장처리업식육포장처리업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
23311000031100001042014000320141013<NA>3폐업2폐업20161024<NA><NA><NA>02-359-85510.0<NA>서울특별시 은평구 갈현동 423-23번지서울특별시 은평구 갈현로 310 (갈현동)3328태윤미트2016-10-24 13:15:05I2018-08-31 23:59:59.0<NA>192620.68743458010.937065식육포장처리업식육포장처리업<NA>000<NA>
24311000031100001042015000120150527<NA>3폐업2폐업20170124<NA><NA><NA>02-306-49930.0<NA>서울특별시 은평구 응암동 595-34번지 1층서울특별시 은평구 응암로9길 15, 1층 (응암동)3485참그린2017-01-24 17:41:30I2018-08-31 23:59:59.0<NA>192391.619419453912.933932식육포장처리업식육포장처리업<NA>000<NA>
25311000031100001042015000220151012<NA>3폐업2폐업20180302<NA><NA><NA>02-356-66690.0<NA>서울특별시 은평구 역촌동 83-4번지서울특별시 은평구 연서로3길 5 (역촌동)3421고기의모든것2018-03-02 10:15:02I2018-08-31 23:59:59.0<NA>192444.489311455554.401637식육포장처리업식육포장처리업<NA>000<NA>
26311000031100001042016000120160105<NA>3폐업2폐업20170206<NA><NA><NA>02-389-45000.0<NA>서울특별시 은평구 불광동 542-1번지서울특별시 은평구 불광로 80 (불광동)3364자연사랑 그레한우2017-02-06 16:15:35I2018-08-31 23:59:59.0<NA>193956.944208456853.029324식육포장처리업식육포장처리업<NA>000<NA>
27311000031100001042016000220161129<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 은평구 응암동 595-34서울특별시 은평구 응암로9길 15, 1층 (응암동, 하림빌딩)3485태방푸드2022-07-14 09:49:41U2021-12-06 23:06:00.0<NA>192391.619419453912.933932<NA><NA><NA><NA><NA>
28311000031100001042016000320161216<NA>1영업/정상0정상<NA><NA><NA>2022072502-387-77100.0<NA>서울특별시 은평구 신사동 39-3 1층 일부서울특별시 은평구 가좌로 299 (신사동)3441진성그린푸드2022-08-05 11:05:48U2021-12-08 00:07:00.0<NA>192087.715589454696.436368<NA><NA><NA><NA><NA>
29311000031100001042016000420161228<NA>3폐업2폐업20210427<NA><NA><NA>02-352-79120.0<NA>서울특별시 은평구 갈현동 6-25 지층서울특별시 은평구 갈현로47길 2, 지층 (갈현동)3314미래식품2021-04-27 10:50:20U2021-04-29 02:40:00.0<NA>192774.752041458284.453164식육포장처리업식육포장처리업<NA>000<NA>
30311000031100001042017000120170410<NA>1영업/정상0정상<NA><NA><NA><NA>02-359-1754748.4<NA>서울특별시 은평구 역촌동 68-56번지서울특별시 은평구 연서로3길 36 (역촌동)3419맛뜰애푸드2019-02-27 10:25:32U2019-03-01 02:40:00.0<NA>192163.142685455613.681285식육포장처리업식육포장처리업<NA>000<NA>
31311000031100001042018000120180328<NA>1영업/정상0정상<NA><NA><NA><NA>02-305-92820.0<NA>서울특별시 은평구 증산동 193-20번지서울특별시 은평구 증산서길 127, 1층 (증산동)3496한우이야기2018-03-29 11:34:12I2018-08-31 23:59:59.0<NA>192010.381153453787.711574식육포장처리업식육포장처리업<NA>000<NA>
3231100003110000104201900012019-11-05<NA>2휴업1휴업<NA>2023-12-22<NA><NA>02-356-83380.0<NA>서울특별시 은평구 갈현동 528서울특별시 은평구 서오릉로 224 (갈현동)3326(주)선우프레시 앵거스박 갈현점2023-12-22 14:30:59U2022-11-01 22:04:00.0<NA>191944.229923456978.918777<NA><NA><NA><NA><NA>