Overview

Dataset statistics

Number of variables30
Number of observations39
Missing cells228
Missing cells (%)19.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory259.4 B

Variable types

Categorical13
Numeric7
DateTime2
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18106/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
축산업무구분명 is highly imbalanced (70.8%)Imbalance
축산일련번호 is highly imbalanced (60.9%)Imbalance
총인원 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 39 (100.0%) missing valuesMissing
폐업일자 has 5 (12.8%) missing valuesMissing
휴업시작일자 has 39 (100.0%) missing valuesMissing
휴업종료일자 has 39 (100.0%) missing valuesMissing
재개업일자 has 24 (61.5%) missing valuesMissing
전화번호 has 13 (33.3%) missing valuesMissing
소재지우편번호 has 39 (100.0%) missing valuesMissing
도로명주소 has 2 (5.1%) missing valuesMissing
도로명우편번호 has 26 (66.7%) missing valuesMissing
좌표정보(X) has 1 (2.6%) missing valuesMissing
좌표정보(Y) has 1 (2.6%) 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
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 26 (66.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:25:29.995865
Analysis finished2024-05-11 05:25:30.584961
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
3040000
39 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 39
100.0%

Length

2024-05-11T14:25:30.699318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:30.885278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 39
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.04 × 1017
Minimum3.04 × 1017
Maximum3.04 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:25:31.066171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.04 × 1017
5-th percentile3.04 × 1017
Q13.04 × 1017
median3.04 × 1017
Q33.04 × 1017
95-th percentile3.04 × 1017
Maximum3.04 × 1017
Range250000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation60314.718
Coefficient of variation (CV)1.9840368 × 10-13
Kurtosis-0.27287783
Mean3.04 × 1017
Median Absolute Deviation (MAD)40000
Skewness0.034827373
Sum-6.5907441 × 1018
Variance3.6378652 × 109
MonotonicityStrictly increasing
2024-05-11T14:25:31.300168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
304000000419950001 1
 
2.6%
304000000419960001 1
 
2.6%
304000000420080006 1
 
2.6%
304000000420080008 1
 
2.6%
304000000420080010 1
 
2.6%
304000000420090002 1
 
2.6%
304000000420090004 1
 
2.6%
304000000420110001 1
 
2.6%
304000000420120001 1
 
2.6%
304000000420120002 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
304000000419950001 1
2.6%
304000000419960001 1
2.6%
304000000419970001 1
2.6%
304000000420000003 1
2.6%
304000000420030003 1
2.6%
304000000420030004 1
2.6%
304000000420030006 1
2.6%
304000000420040001 1
2.6%
304000000420040002 1
2.6%
304000000420040003 1
2.6%
ValueCountFrequency (%)
304000000420200001 1
2.6%
304000000420180001 1
2.6%
304000000420170002 1
2.6%
304000000420170001 1
2.6%
304000000420160001 1
2.6%
304000000420150003 1
2.6%
304000000420150002 1
2.6%
304000000420150001 1
2.6%
304000000420130001 1
2.6%
304000000420120002 1
2.6%

인허가일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum1995-02-23 00:00:00
Maximum2020-11-23 00:00:00
2024-05-11T14:25:31.539546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:31.952582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
3
31 
1
5 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
79.5%
1 5
 
12.8%
4 3
 
7.7%

Length

2024-05-11T14:25:32.219252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:32.415961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
79.5%
1 5
 
12.8%
4 3
 
7.7%

영업상태명
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
폐업
31 
영업/정상
5 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length3.3076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
79.5%
영업/정상 5
 
12.8%
취소/말소/만료/정지/중지 3
 
7.7%

Length

2024-05-11T14:25:32.621844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:32.822807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
79.5%
영업/정상 5
 
12.8%
취소/말소/만료/정지/중지 3
 
7.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
2
31 
0
5 
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 31
79.5%
0 5
 
12.8%
3 3
 
7.7%

Length

2024-05-11T14:25:33.051037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:33.225734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 31
79.5%
0 5
 
12.8%
3 3
 
7.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
폐업
31 
정상
5 
행정처분
 
3

Length

Max length4
Median length2
Mean length2.1538462
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
79.5%
정상 5
 
12.8%
행정처분 3
 
7.7%

Length

2024-05-11T14:25:33.470385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:33.749464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
79.5%
정상 5
 
12.8%
행정처분 3
 
7.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)97.1%
Missing5
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean20136088
Minimum20030220
Maximum20220204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:25:33.944588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030220
5-th percentile20047168
Q120082982
median20160555
Q320185357
95-th percentile20220146
Maximum20220204
Range189984
Interquartile range (IQR)102375.25

Descriptive statistics

Standard deviation60447.364
Coefficient of variation (CV)0.0030019418
Kurtosis-1.4101529
Mean20136088
Median Absolute Deviation (MAD)50101
Skewness-0.22910951
Sum6.8462698 × 108
Variance3.6538838 × 109
MonotonicityNot monotonic
2024-05-11T14:25:34.655017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20220204 2
 
5.1%
20170209 1
 
2.6%
20220114 1
 
2.6%
20090122 1
 
2.6%
20101022 1
 
2.6%
20100128 1
 
2.6%
20141217 1
 
2.6%
20170302 1
 
2.6%
20170823 1
 
2.6%
20170706 1
 
2.6%
Other values (23) 23
59.0%
(Missing) 5
 
12.8%
ValueCountFrequency (%)
20030220 1
2.6%
20041120 1
2.6%
20050425 1
2.6%
20050511 1
2.6%
20060113 1
2.6%
20060404 1
2.6%
20070401 1
2.6%
20080219 1
2.6%
20080602 1
2.6%
20090122 1
2.6%
ValueCountFrequency (%)
20220204 2
5.1%
20220114 1
2.6%
20201224 1
2.6%
20201125 1
2.6%
20200721 1
2.6%
20200525 1
2.6%
20200311 1
2.6%
20190104 1
2.6%
20171117 1
2.6%
20170823 1
2.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

재개업일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing24
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean20184595
Minimum20161005
Maximum20220114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:25:34.863767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20161005
5-th percentile20167388
Q120170409
median20171117
Q320200623
95-th percentile20206891
Maximum20220114
Range59109
Interquartile range (IQR)30214

Descriptive statistics

Standard deviation18012.119
Coefficient of variation (CV)0.00089236962
Kurtosis-1.1380754
Mean20184595
Median Absolute Deviation (MAD)10112
Skewness0.4742173
Sum3.0276893 × 108
Variance3.2443645 × 108
MonotonicityNot monotonic
2024-05-11T14:25:35.082893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20161005 1
 
2.6%
20190104 1
 
2.6%
20200525 1
 
2.6%
20170516 1
 
2.6%
20200721 1
 
2.6%
20170823 1
 
2.6%
20220114 1
 
2.6%
20170209 1
 
2.6%
20170302 1
 
2.6%
20170706 1
 
2.6%
Other values (5) 5
 
12.8%
(Missing) 24
61.5%
ValueCountFrequency (%)
20161005 1
2.6%
20170124 1
2.6%
20170209 1
2.6%
20170302 1
2.6%
20170516 1
2.6%
20170706 1
2.6%
20170823 1
2.6%
20171117 1
2.6%
20190104 1
2.6%
20200311 1
2.6%
ValueCountFrequency (%)
20220114 1
2.6%
20201224 1
2.6%
20201125 1
2.6%
20200721 1
2.6%
20200525 1
2.6%
20200311 1
2.6%
20190104 1
2.6%
20171117 1
2.6%
20170823 1
2.6%
20170706 1
2.6%

전화번호
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing13
Missing (%)33.3%
Memory size444.0 B
2024-05-11T14:25:35.372723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.7307692
Min length8

Characters and Unicode

Total characters253
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

Unique26 ?
Unique (%)100.0%

Sample

1st row3436-6677
2nd row450-3041
3rd row3437-0314
4th row3436-0472
5th row02-455-7181
ValueCountFrequency (%)
466-1791 1
 
3.8%
3437-0314 1
 
3.8%
456-5801 1
 
3.8%
456-5624 1
 
3.8%
070-7522-4553 1
 
3.8%
02-499-0797 1
 
3.8%
02-498-1863 1
 
3.8%
02-456-9249 1
 
3.8%
02-2205-3505 1
 
3.8%
02-466-3880 1
 
3.8%
Other values (16) 16
61.5%
2024-05-11T14:25:35.934519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 38
15.0%
4 37
14.6%
2 29
11.5%
0 26
10.3%
5 25
9.9%
6 22
8.7%
7 20
7.9%
9 17
6.7%
3 15
 
5.9%
8 13
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 215
85.0%
Dash Punctuation 38
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 37
17.2%
2 29
13.5%
0 26
12.1%
5 25
11.6%
6 22
10.2%
7 20
9.3%
9 17
7.9%
3 15
7.0%
8 13
 
6.0%
1 11
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 38
15.0%
4 37
14.6%
2 29
11.5%
0 26
10.3%
5 25
9.9%
6 22
8.7%
7 20
7.9%
9 17
6.7%
3 15
 
5.9%
8 13
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 38
15.0%
4 37
14.6%
2 29
11.5%
0 26
10.3%
5 25
9.9%
6 22
8.7%
7 20
7.9%
9 17
6.7%
3 15
 
5.9%
8 13
 
5.1%

소재지면적
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.419231
Minimum0
Maximum730.67
Zeros26
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:25:36.151702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q337.69
95-th percentile326.96
Maximum730.67
Range730.67
Interquartile range (IQR)37.69

Descriptive statistics

Standard deviation157.16607
Coefficient of variation (CV)2.1702257
Kurtosis7.8793839
Mean72.419231
Median Absolute Deviation (MAD)0
Skewness2.7030064
Sum2824.35
Variance24701.174
MonotonicityNot monotonic
2024-05-11T14:25:36.353010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 26
66.7%
730.67 1
 
2.6%
160.47 1
 
2.6%
313.0 1
 
2.6%
30.38 1
 
2.6%
290.68 1
 
2.6%
45.0 1
 
2.6%
19.2 1
 
2.6%
105.3 1
 
2.6%
51.7 1
 
2.6%
Other values (4) 4
 
10.3%
ValueCountFrequency (%)
0.0 26
66.7%
19.2 1
 
2.6%
28.8 1
 
2.6%
30.38 1
 
2.6%
45.0 1
 
2.6%
51.7 1
 
2.6%
105.3 1
 
2.6%
160.47 1
 
2.6%
284.15 1
 
2.6%
290.68 1
 
2.6%
ValueCountFrequency (%)
730.67 1
2.6%
452.6 1
2.6%
313.0 1
2.6%
312.4 1
2.6%
290.68 1
2.6%
284.15 1
2.6%
160.47 1
2.6%
105.3 1
2.6%
51.7 1
2.6%
45.0 1
2.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

지번주소
Text

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-05-11T14:25:36.747097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length24.076923
Min length18

Characters and Unicode

Total characters939
Distinct characters39
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

Unique33 ?
Unique (%)84.6%

Sample

1st row서울특별시 광진구 자양동 12-14번지
2nd row서울특별시 광진구 화양동 1번지
3rd row서울특별시 광진구 자양동 464-7번지
4th row서울특별시 광진구 중곡동 130-12
5th row서울특별시 광진구 자양동 553-376번지
ValueCountFrequency (%)
서울특별시 39
21.8%
광진구 39
21.8%
중곡동 13
 
7.3%
구의동 10
 
5.6%
자양동 10
 
5.6%
지하1층 7
 
3.9%
2층 4
 
2.2%
지층 3
 
1.7%
1층 3
 
1.7%
지하 2
 
1.1%
Other values (43) 49
27.4%
2024-05-11T14:25:37.573806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
18.8%
1 50
 
5.3%
구 49
 
5.2%
지 43
 
4.6%
광 41
 
4.4%
울 39
 
4.2%
- 39
 
4.2%
동 39
 
4.2%
서 39
 
4.2%
진 39
 
4.2%
Other values (29) 384
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 535
57.0%
Decimal Number 187
 
19.9%
Space Separator 177
 
18.8%
Dash Punctuation 39
 
4.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 49
 
9.2%
지 43
 
8.0%
광 41
 
7.7%
울 39
 
7.3%
동 39
 
7.3%
서 39
 
7.3%
진 39
 
7.3%
시 39
 
7.3%
별 39
 
7.3%
특 39
 
7.3%
Other values (16) 129
24.1%
Decimal Number
ValueCountFrequency (%)
1 50
26.7%
2 27
14.4%
3 26
13.9%
6 18
 
9.6%
4 16
 
8.6%
5 13
 
7.0%
0 10
 
5.3%
9 10
 
5.3%
8 9
 
4.8%
7 8
 
4.3%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 535
57.0%
Common 403
42.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 49
 
9.2%
지 43
 
8.0%
광 41
 
7.7%
울 39
 
7.3%
동 39
 
7.3%
서 39
 
7.3%
진 39
 
7.3%
시 39
 
7.3%
별 39
 
7.3%
특 39
 
7.3%
Other values (16) 129
24.1%
Common
ValueCountFrequency (%)
177
43.9%
1 50
 
12.4%
- 39
 
9.7%
2 27
 
6.7%
3 26
 
6.5%
6 18
 
4.5%
4 16
 
4.0%
5 13
 
3.2%
0 10
 
2.5%
9 10
 
2.5%
Other values (2) 17
 
4.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 535
57.0%
ASCII 404
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
43.8%
1 50
 
12.4%
- 39
 
9.7%
2 27
 
6.7%
3 26
 
6.4%
6 18
 
4.5%
4 16
 
4.0%
5 13
 
3.2%
0 10
 
2.5%
9 10
 
2.5%
Other values (3) 18
 
4.5%
Hangul
ValueCountFrequency (%)
구 49
 
9.2%
지 43
 
8.0%
광 41
 
7.7%
울 39
 
7.3%
동 39
 
7.3%
서 39
 
7.3%
진 39
 
7.3%
시 39
 
7.3%
별 39
 
7.3%
특 39
 
7.3%
Other values (16) 129
24.1%

도로명주소
Text

MISSING 

Distinct32
Distinct (%)86.5%
Missing2
Missing (%)5.1%
Memory size444.0 B
2024-05-11T14:25:38.114151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length26.945946
Min length23

Characters and Unicode

Total characters997
Distinct characters66
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

Unique28 ?
Unique (%)75.7%

Sample

1st row서울특별시 광진구 자양번영로3길 30 (자양동)
2nd row서울특별시 광진구 용마산로1길 58 (중곡동)
3rd row서울특별시 광진구 능동로4길 17 (자양동)
4th row서울특별시 광진구 자양로53길 75 (중곡동)
5th row서울특별시 광진구 천호대로 706 (구의동)
ValueCountFrequency (%)
서울특별시 37
19.0%
광진구 37
19.0%
중곡동 8
 
4.1%
자양동 7
 
3.6%
구의동 6
 
3.1%
천호대로 4
 
2.1%
아차산로 4
 
2.1%
동일로 4
 
2.1%
지하1층 3
 
1.5%
1층 3
 
1.5%
Other values (68) 82
42.1%
2024-05-11T14:25:39.062012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
15.8%
구 47
 
4.7%
동 46
 
4.6%
광 42
 
4.2%
) 37
 
3.7%
울 37
 
3.7%
로 37
 
3.7%
서 37
 
3.7%
진 37
 
3.7%
시 37
 
3.7%
Other values (56) 482
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 607
60.9%
Space Separator 158
 
15.8%
Decimal Number 135
 
13.5%
Close Punctuation 37
 
3.7%
Open Punctuation 37
 
3.7%
Other Punctuation 20
 
2.0%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 47
 
7.7%
동 46
 
7.6%
광 42
 
6.9%
울 37
 
6.1%
로 37
 
6.1%
서 37
 
6.1%
진 37
 
6.1%
시 37
 
6.1%
별 37
 
6.1%
특 37
 
6.1%
Other values (41) 213
35.1%
Decimal Number
ValueCountFrequency (%)
1 26
19.3%
2 19
14.1%
4 15
11.1%
7 15
11.1%
3 13
9.6%
9 11
8.1%
0 11
8.1%
6 10
 
7.4%
5 9
 
6.7%
8 6
 
4.4%
Space Separator
ValueCountFrequency (%)
158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 607
60.9%
Common 390
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 47
 
7.7%
동 46
 
7.6%
광 42
 
6.9%
울 37
 
6.1%
로 37
 
6.1%
서 37
 
6.1%
진 37
 
6.1%
시 37
 
6.1%
별 37
 
6.1%
특 37
 
6.1%
Other values (41) 213
35.1%
Common
ValueCountFrequency (%)
158
40.5%
) 37
 
9.5%
( 37
 
9.5%
1 26
 
6.7%
, 20
 
5.1%
2 19
 
4.9%
4 15
 
3.8%
7 15
 
3.8%
3 13
 
3.3%
9 11
 
2.8%
Other values (5) 39
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 607
60.9%
ASCII 390
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
40.5%
) 37
 
9.5%
( 37
 
9.5%
1 26
 
6.7%
, 20
 
5.1%
2 19
 
4.9%
4 15
 
3.8%
7 15
 
3.8%
3 13
 
3.3%
9 11
 
2.8%
Other values (5) 39
 
10.0%
Hangul
ValueCountFrequency (%)
구 47
 
7.7%
동 46
 
7.6%
광 42
 
6.9%
울 37
 
6.1%
로 37
 
6.1%
서 37
 
6.1%
진 37
 
6.1%
시 37
 
6.1%
별 37
 
6.1%
특 37
 
6.1%
Other values (41) 213
35.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing26
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean4978.9231
Minimum4900
Maximum5083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:25:39.326444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4900
5-th percentile4901.2
Q14930
median4969
Q35023
95-th percentile5074
Maximum5083
Range183
Interquartile range (IQR)93

Descriptive statistics

Standard deviation60.706207
Coefficient of variation (CV)0.012192638
Kurtosis-0.99034206
Mean4978.9231
Median Absolute Deviation (MAD)54
Skewness0.30906828
Sum64726
Variance3685.2436
MonotonicityNot monotonic
2024-05-11T14:25:39.545805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4969 2
 
5.1%
4930 1
 
2.6%
4980 1
 
2.6%
4914 1
 
2.6%
4902 1
 
2.6%
4900 1
 
2.6%
5083 1
 
2.6%
5023 1
 
2.6%
4947 1
 
2.6%
5027 1
 
2.6%
Other values (2) 2
 
5.1%
(Missing) 26
66.7%
ValueCountFrequency (%)
4900 1
2.6%
4902 1
2.6%
4914 1
2.6%
4930 1
2.6%
4947 1
2.6%
4969 2
5.1%
4980 1
2.6%
5014 1
2.6%
5023 1
2.6%
5027 1
2.6%
ValueCountFrequency (%)
5083 1
2.6%
5068 1
2.6%
5027 1
2.6%
5023 1
2.6%
5014 1
2.6%
4980 1
2.6%
4969 2
5.1%
4947 1
2.6%
4930 1
2.6%
4914 1
2.6%

사업장명
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-05-11T14:25:39.894526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.5897436
Min length2

Characters and Unicode

Total characters257
Distinct characters127
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row고려미트
2nd row(학)건국대？교 건국유업건국햄
3rd row(주)성수축산
4th row눈꽃빙수
5th row(주)정다원
ValueCountFrequency (%)
주식회사 3
 
6.7%
푸드킨코리아 2
 
4.4%
이다윈 1
 
2.2%
본점장충족발 1
 
2.2%
주)행복추풍령 1
 
2.2%
식품사업부 1
 
2.2%
엔컴플러스 1
 
2.2%
돈사구 1
 
2.2%
p&p제조전문유통회사 1
 
2.2%
주)창일엔터프라이즈 1
 
2.2%
Other values (32) 32
71.1%
2024-05-11T14:25:40.558506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 16
 
6.2%
) 14
 
5.4%
( 14
 
5.4%
드 11
 
4.3%
푸 10
 
3.9%
6
 
2.3%
사 6
 
2.3%
식 5
 
1.9%
유 5
 
1.9%
회 4
 
1.6%
Other values (117) 166
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
84.4%
Close Punctuation 14
 
5.4%
Open Punctuation 14
 
5.4%
Space Separator 6
 
2.3%
Uppercase Letter 4
 
1.6%
Other Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 16
 
7.4%
드 11
 
5.1%
푸 10
 
4.6%
사 6
 
2.8%
식 5
 
2.3%
유 5
 
2.3%
회 4
 
1.8%
국 4
 
1.8%
이 4
 
1.8%
리 4
 
1.8%
Other values (109) 148
68.2%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
S 1
25.0%
M 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
？ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 216
84.0%
Common 36
 
14.0%
Latin 4
 
1.6%
Han 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 16
 
7.4%
드 11
 
5.1%
푸 10
 
4.6%
사 6
 
2.8%
식 5
 
2.3%
유 5
 
2.3%
회 4
 
1.9%
국 4
 
1.9%
이 4
 
1.9%
리 4
 
1.9%
Other values (108) 147
68.1%
Common
ValueCountFrequency (%)
) 14
38.9%
( 14
38.9%
6
16.7%
& 1
 
2.8%
？ 1
 
2.8%
Latin
ValueCountFrequency (%)
P 2
50.0%
S 1
25.0%
M 1
25.0%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 216
84.0%
ASCII 39
 
15.2%
None 1
 
0.4%
CJK 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 16
 
7.4%
드 11
 
5.1%
푸 10
 
4.6%
사 6
 
2.8%
식 5
 
2.3%
유 5
 
2.3%
회 4
 
1.9%
국 4
 
1.9%
이 4
 
1.9%
리 4
 
1.9%
Other values (108) 147
68.1%
ASCII
ValueCountFrequency (%)
) 14
35.9%
( 14
35.9%
6
15.4%
P 2
 
5.1%
& 1
 
2.6%
S 1
 
2.6%
M 1
 
2.6%
None
ValueCountFrequency (%)
？ 1
100.0%
CJK
ValueCountFrequency (%)
家 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2004-08-02 15:37:52
Maximum2023-12-06 15:17:32
2024-05-11T14:25:40.817989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:41.061778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
I
28 
U
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 (%)
I 28
71.8%
U 11
 
28.2%

Length

2024-05-11T14:25:41.343884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:41.511780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 28
71.8%
u 11
 
28.2%

데이터갱신일자
Categorical

Distinct12
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
2018-08-31 23:59:59.0
27 
2022-02-06 02:40:00.0
 
2
2022-11-02 00:08:00.0
 
1
2019-01-06 02:40:00.0
 
1
2020-05-27 02:40:00.0
 
1
Other values (7)
7 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique10 ?
Unique (%)25.6%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2022-11-02 00:08:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 27
69.2%
2022-02-06 02:40:00.0 2
 
5.1%
2022-11-02 00:08:00.0 1
 
2.6%
2019-01-06 02:40:00.0 1
 
2.6%
2020-05-27 02:40:00.0 1
 
2.6%
2020-07-23 02:40:00.0 1
 
2.6%
2022-01-16 02:40:00.0 1
 
2.6%
2020-12-26 02:40:00.0 1
 
2.6%
2021-12-05 22:09:00.0 1
 
2.6%
2020-11-27 02:40:00.0 1
 
2.6%
Other values (2) 2
 
5.1%

Length

2024-05-11T14:25:41.696856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 27
34.6%
23:59:59.0 27
34.6%
02:40:00.0 9
 
11.5%
2022-02-06 2
 
2.6%
2020-12-26 1
 
1.3%
2020-11-25 1
 
1.3%
2020-03-13 1
 
1.3%
2020-11-27 1
 
1.3%
22:09:00.0 1
 
1.3%
2021-12-05 1
 
1.3%
Other values (7) 7
 
9.0%

업태구분명
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
식육가공업
31 
유가공업
6 
알가공업
 
2

Length

Max length5
Median length5
Mean length4.7948718
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 31
79.5%
유가공업 6
 
15.4%
알가공업 2
 
5.1%

Length

2024-05-11T14:25:41.891596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:42.067927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 31
79.5%
유가공업 6
 
15.4%
알가공업 2
 
5.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)86.8%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean207237.12
Minimum205404.1
Maximum209367.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:25:42.246033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205404.1
5-th percentile205658.3
Q1206689.63
median207245.41
Q3207968.2
95-th percentile208503.48
Maximum209367.99
Range3963.889
Interquartile range (IQR)1278.5646

Descriptive statistics

Standard deviation937.55779
Coefficient of variation (CV)0.0045240823
Kurtosis0.17178086
Mean207237.12
Median Absolute Deviation (MAD)621.63539
Skewness0.10485172
Sum7875010.6
Variance879014.61
MonotonicityNot monotonic
2024-05-11T14:25:42.478410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
208116.930605666 3
 
7.7%
206889.381603724 2
 
5.1%
207494.428053056 2
 
5.1%
209367.991933454 2
 
5.1%
208181.517388785 1
 
2.6%
207246.646767875 1
 
2.6%
207251.976568094 1
 
2.6%
208114.653744864 1
 
2.6%
207094.563616464 1
 
2.6%
207244.17749383 1
 
2.6%
Other values (23) 23
59.0%
ValueCountFrequency (%)
205404.102971486 1
2.6%
205417.030534917 1
2.6%
205700.879155221 1
2.6%
205755.451221715 1
2.6%
206011.728357801 1
2.6%
206419.43540251 1
2.6%
206445.881091692 1
2.6%
206598.30562939 1
2.6%
206684.48300903 1
2.6%
206687.578044947 1
2.6%
ValueCountFrequency (%)
209367.991933454 2
5.1%
208350.915430053 1
 
2.6%
208181.517388785 1
 
2.6%
208116.930605666 3
7.7%
208114.653744864 1
 
2.6%
208086.073891593 1
 
2.6%
207982.773516224 1
 
2.6%
207924.47120564 1
 
2.6%
207841.576415869 1
 
2.6%
207494.428053056 2
5.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)86.8%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean449652.72
Minimum447708.28
Maximum451875.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:25:42.755307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447708.28
5-th percentile447889.5
Q1448582.72
median449529.52
Q3450625.28
95-th percentile451842.41
Maximum451875.29
Range4167.011
Interquartile range (IQR)2042.5576

Descriptive statistics

Standard deviation1332.7232
Coefficient of variation (CV)0.0029638945
Kurtosis-1.166319
Mean449652.72
Median Absolute Deviation (MAD)1071.2819
Skewness0.23478231
Sum17086803
Variance1776151.2
MonotonicityNot monotonic
2024-05-11T14:25:42.977271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
449594.892520717 3
 
7.7%
451842.410907153 2
 
5.1%
448782.409092603 2
 
5.1%
449464.138000765 2
 
5.1%
448984.848324887 1
 
2.6%
451112.8270504 1
 
2.6%
451360.694185897 1
 
2.6%
449029.273541534 1
 
2.6%
451003.429759867 1
 
2.6%
451875.29274969 1
 
2.6%
Other values (23) 23
59.0%
ValueCountFrequency (%)
447708.281737553 1
2.6%
447770.007805443 1
2.6%
447910.588323863 1
2.6%
447930.166056471 1
2.6%
447944.243749689 1
2.6%
447993.515425399 1
2.6%
448070.506659535 1
2.6%
448253.123989801 1
2.6%
448393.070682536 1
2.6%
448516.160315017 1
2.6%
ValueCountFrequency (%)
451875.29274969 1
2.6%
451842.410907153 2
5.1%
451811.107176646 1
2.6%
451672.891346351 1
2.6%
451360.694185897 1
2.6%
451112.8270504 1
2.6%
451003.429759867 1
2.6%
450883.84586821 1
2.6%
450649.763116883 1
2.6%
450551.831228487 1
2.6%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
축산물가공업
37 
<NA>
 
2

Length

Max length6
Median length6
Mean length5.8974359
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 37
94.9%
<NA> 2
 
5.1%

Length

2024-05-11T14:25:43.210033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:43.390928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 37
94.9%
na 2
 
5.1%

축산물가공업구분명
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
식육가공업
30 
유가공업
5 
<NA>
 
2
알가공업
 
2

Length

Max length5
Median length5
Mean length4.7692308
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 30
76.9%
유가공업 5
 
12.8%
<NA> 2
 
5.1%
알가공업 2
 
5.1%

Length

2024-05-11T14:25:43.635866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:43.931765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 30
76.9%
유가공업 5
 
12.8%
na 2
 
5.1%
알가공업 2
 
5.1%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T14:25:44.138979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:44.350305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

권리주체일련번호
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
000
22 
L00
15 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0512821
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 22
56.4%
L00 15
38.5%
<NA> 2
 
5.1%

Length

2024-05-11T14:25:44.550088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:44.737507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 22
56.4%
l00 15
38.5%
na 2
 
5.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

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> 36
92.3%
0 3
 
7.7%

Length

2024-05-11T14:25:44.963504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:45.279646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0304000030400000041995000119950223<NA>3폐업2폐업20090210<NA><NA><NA>3436-66770.0<NA>서울특별시 광진구 자양동 12-14번지<NA><NA>고려미트2009-02-10 16:56:28I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
1304000030400000041996000119961226<NA>3폐업2폐업20070401<NA><NA><NA>450-3041730.67<NA>서울특별시 광진구 화양동 1번지<NA><NA>(학)건국대？교 건국유업건국햄2007-03-30 11:51:48I2018-08-31 23:59:59.0식육가공업206445.881092448922.881688축산물가공업식육가공업<NA>L00<NA>
2304000030400000041997000119970324<NA>3폐업2폐업20090212<NA><NA><NA>3437-0314160.47<NA>서울특별시 광진구 자양동 464-7번지서울특별시 광진구 자양번영로3길 30 (자양동)<NA>(주)성수축산2009-02-12 09:04:07I2018-08-31 23:59:59.0식육가공업206419.435403447770.007805축산물가공업식육가공업<NA>L00<NA>
330400003040000004200000032000-07-03<NA>1영업/정상0정상<NA><NA><NA><NA>3436-04720.0<NA>서울특별시 광진구 중곡동 130-12서울특별시 광진구 용마산로1길 58 (중곡동)4930눈꽃빙수2023-12-06 15:17:32U2022-11-02 00:08:00.0유가공업207486.315552450399.087779<NA><NA><NA><NA><NA>
4304000030400000042003000320030709<NA>3폐업2폐업20041120<NA><NA><NA><NA>313.0<NA>서울특별시 광진구 자양동 553-376번지서울특별시 광진구 능동로4길 17 (자양동)<NA>(주)정다원2004-11-20 11:55:43I2018-08-31 23:59:59.0식육가공업206011.728358447910.588324축산물가공업식육가공업<NA>000<NA>
5304000030400000042003000420031022<NA>3폐업2폐업20080219<NA><NA><NA>02-455-718130.38<NA>서울특별시 광진구 중곡동 90-14번지서울특별시 광진구 자양로53길 75 (중곡동)<NA>(주)중곡유통2008-02-19 11:41:50I2018-08-31 23:59:59.0알가공업207924.471206450421.215561축산물가공업알가공업<NA>000<NA>
6304000030400000042003000620030220<NA>3폐업2폐업20030220<NA><NA><NA>2201-5894290.68<NA>서울특별시 광진구 구의동 59-13번지서울특별시 광진구 천호대로 706 (구의동)<NA>(주)한국관광용품센타2004-08-02 15:37:52I2018-08-31 23:59:59.0식육가공업208116.930606449594.892521축산물가공업식육가공업<NA>L00<NA>
7304000030400000042004000120040226<NA>3폐업2폐업20161005<NA><NA>20161005<NA>45.0<NA>서울특별시 광진구 자양동 656-4번지서울특별시 광진구 자양로9길 17 (자양동)<NA>신라바이오2016-10-05 15:38:51I2018-08-31 23:59:59.0알가공업207311.278301447930.166056축산물가공업알가공업<NA>000<NA>
8304000030400000042004000220040507<NA>3폐업2폐업20050425<NA><NA><NA><NA>19.2<NA>서울특별시 광진구 중곡동 191-1번지서울특별시 광진구 긴고랑로1길 80 (중곡동)<NA>네츄럴토핑2005-04-28 10:55:57I2018-08-31 23:59:59.0유가공업206928.153061451672.891346축산물가공업유가공업<NA>000<NA>
9304000030400000042004000320040607<NA>4취소/말소/만료/정지/중지3행정처분20060404<NA><NA><NA>02-2201-5894105.3<NA>서울특별시 광진구 구의동 59-13번지서울특별시 광진구 천호대로 706 (구의동)<NA>(주)꾸오레2006-06-12 10:04:30I2018-08-31 23:59:59.0식육가공업208116.930606449594.892521축산물가공업식육가공업<NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
29304000030400000042012000220121210<NA>3폐업2폐업20170706<NA><NA>2017070602-499-07970.0<NA>서울특별시 광진구 중곡동 211-24번지 2층서울특별시 광진구 면목로 179, 2층 (중곡동)4902본점장충족발2017-07-06 15:22:03I2018-08-31 23:59:59.0식육가공업207244.177494451875.29275축산물가공업식육가공업<NA>000<NA>
30304000030400000042013000120131122<NA>3폐업2폐업20170124<NA><NA>20170124070-7522-45530.0<NA>서울특별시 광진구 중곡동 186-9번지서울특별시 광진구 동일로 429 (중곡동)4900(주)잭와규2017-01-24 10:26:51I2018-08-31 23:59:59.0식육가공업206889.381604451842.410907축산물가공업식육가공업<NA>L00<NA>
31304000030400000042015000120150119<NA>3폐업2폐업20201224<NA><NA>20201224<NA>0.0<NA>서울특별시 광진구 자양동 193-4서울특별시 광진구 동일로2길 31 (자양동)5083육슐랭2020-12-24 09:25:24U2020-12-26 02:40:00.0식육가공업205417.030535448070.50666축산물가공업식육가공업<NA>000<NA>
32304000030400000042015000220150811<NA>1영업/정상0정상<NA><NA><NA><NA>456-56240.0<NA>서울특별시 광진구 광장동 326-13 지하1층서울특별시 광진구 아차산로 612, 지하1층 (광장동)4969(주)승일축산2022-06-27 14:41:50U2021-12-05 22:09:00.0식육가공업209367.991933449464.138001<NA><NA><NA><NA><NA>
33304000030400000042015000320151013<NA>3폐업2폐업20201125<NA><NA>20201125<NA>0.0<NA>서울특별시 광진구 구의동 636-5 1층서울특별시 광진구 광나루로30나길 27, 1층 (구의동)5023MS푸드2020-11-25 15:52:56U2020-11-27 02:40:00.0식육가공업207287.674444449019.590976축산물가공업식육가공업<NA>000<NA>
34304000030400000042016000120160330<NA>3폐업2폐업20171117<NA><NA>20171117<NA>0.0<NA>서울특별시 광진구 중곡동 73-13번지 지2층 B-201호서울특별시 광진구 긴고랑로 190 (중곡동, 아미가)4947토핑하드2017-11-17 13:39:33I2018-08-31 23:59:59.0유가공업208350.91543450883.845868축산물가공업유가공업<NA>000<NA>
35304000030400000042017000120170214<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 광진구 자양동 774-25번지 1층서울특별시 광진구 아차산로 329-1, 1층 (자양동)5027대성푸드2017-02-14 15:35:39I2018-08-31 23:59:59.0식육가공업206967.052976448393.070683축산물가공업식육가공업<NA>000<NA>
36304000030400000042017000220170720<NA>1영업/정상0정상<NA><NA><NA><NA>02-499-88690.0<NA>서울특별시 광진구 화양동 41-14번지 지하1층서울특별시 광진구 동일로 144 (화양동, 이례빌딩)5014폴리체2017-07-20 09:26:20I2018-08-31 23:59:59.0유가공업205755.451222449200.390925축산물가공업유가공업<NA>000<NA>
37304000030400000042018000120180314<NA>3폐업2폐업20200311<NA><NA>20200311<NA>0.0<NA>서울특별시 광진구 광장동 326-13번지 지하1층서울특별시 광진구 아차산로 612, 지하1층 (광장동)4969신푸드2020-03-11 14:12:56U2020-03-13 02:40:00.0식육가공업209367.991933449464.138001축산물가공업식육가공업<NA>000<NA>
38304000030400000042020000120201123<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 광진구 자양동 580-6 지하1층서울특별시 광진구 자양번영로 47-9, 지하1층 (자양동)5068(주)유로푸드서비스 작업장2020-11-23 17:06:46I2020-11-25 00:23:07.0식육가공업206598.305629447944.24375축산물가공업식육가공업<NA>L00<NA>