Overview

Dataset statistics

Number of variables30
Number of observations107
Missing cells666
Missing cells (%)20.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.0 KiB
Average record size in memory258.2 B

Variable types

Categorical12
Numeric6
DateTime3
Unsupported5
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-18132/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (92.4%)Imbalance
축산일련번호 is highly imbalanced (72.8%)Imbalance
총인원 is highly imbalanced (72.8%)Imbalance
인허가취소일자 has 107 (100.0%) missing valuesMissing
폐업일자 has 52 (48.6%) missing valuesMissing
휴업종료일자 has 107 (100.0%) missing valuesMissing
재개업일자 has 107 (100.0%) missing valuesMissing
전화번호 has 47 (43.9%) missing valuesMissing
소재지우편번호 has 107 (100.0%) missing valuesMissing
도로명주소 has 3 (2.8%) missing valuesMissing
도로명우편번호 has 29 (27.1%) missing valuesMissing
업태구분명 has 107 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
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 88 (82.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:57:36.637480
Analysis finished2024-05-11 06:57:37.176630
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
3050000
107 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 107
100.0%

Length

2024-05-11T15:57:37.270324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:37.414692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 107
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0500001 × 1017
Minimum3.05 × 1017
Maximum3.0500001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:57:37.576324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.05 × 1017
5-th percentile3.05 × 1017
Q13.0500001 × 1017
median3.0500001 × 1017
Q33.0500001 × 1017
95-th percentile3.0500001 × 1017
Maximum3.0500001 × 1017
Range1.000021 × 1010
Interquartile range (IQR)84992

Descriptive statistics

Standard deviation4.1908708 × 109
Coefficient of variation (CV)1.374056 × 10-8
Kurtosis-0.20647758
Mean3.0500001 × 1017
Median Absolute Deviation (MAD)49984
Skewness-1.3407965
Sum-4.2584873 × 1018
Variance1.7563398 × 1019
MonotonicityStrictly increasing
2024-05-11T15:57:37.759240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
305000000420030005 1
 
0.9%
305000010420170008 1
 
0.9%
305000010420190005 1
 
0.9%
305000010420190004 1
 
0.9%
305000010420190003 1
 
0.9%
305000010420190002 1
 
0.9%
305000010420190001 1
 
0.9%
305000010420180006 1
 
0.9%
305000010420180005 1
 
0.9%
305000010420180004 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
305000000420030005 1
0.9%
305000000420060001 1
0.9%
305000000420060002 1
0.9%
305000000420060007 1
0.9%
305000000420060008 1
0.9%
305000000420060009 1
0.9%
305000000420060010 1
0.9%
305000000420060012 1
0.9%
305000000420060013 1
0.9%
305000000420060014 1
0.9%
ValueCountFrequency (%)
305000010420240001 1
0.9%
305000010420230004 1
0.9%
305000010420230003 1
0.9%
305000010420230002 1
0.9%
305000010420230001 1
0.9%
305000010420220011 1
0.9%
305000010420220010 1
0.9%
305000010420220009 1
0.9%
305000010420220008 1
0.9%
305000010420220007 1
0.9%

인허가일자
Date

Distinct106
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2003-07-08 00:00:00
Maximum2024-03-07 00:00:00
2024-05-11T15:57:37.931527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:38.104099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
3
55 
1
51 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
3 55
51.4%
1 51
47.7%
2 1
 
0.9%

Length

2024-05-11T15:57:38.266477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:38.406462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 55
51.4%
1 51
47.7%
2 1
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
폐업
55 
영업/정상
51 
휴업
 
1

Length

Max length5
Median length2
Mean length3.4299065
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 55
51.4%
영업/정상 51
47.7%
휴업 1
 
0.9%

Length

2024-05-11T15:57:38.536027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:38.662743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 55
51.4%
영업/정상 51
47.7%
휴업 1
 
0.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
2
55 
0
51 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
2 55
51.4%
0 51
47.7%
1 1
 
0.9%

Length

2024-05-11T15:57:38.845077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:39.023574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 55
51.4%
0 51
47.7%
1 1
 
0.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
폐업
55 
정상
51 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 55
51.4%
정상 51
47.7%
휴업 1
 
0.9%

Length

2024-05-11T15:57:39.151103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:39.292016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 55
51.4%
정상 51
47.7%
휴업 1
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)94.5%
Missing52
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean20153675
Minimum20070330
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:57:39.435338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070330
5-th percentile20097401
Q120121024
median20160223
Q320175704
95-th percentile20221021
Maximum20221230
Range150900
Interquartile range (IQR)54680

Descriptive statistics

Standard deviation41060.284
Coefficient of variation (CV)0.0020373596
Kurtosis-0.75185211
Mean20153675
Median Absolute Deviation (MAD)29908
Skewness-0.012612766
Sum1.1084521 × 109
Variance1.6859469 × 109
MonotonicityNot monotonic
2024-05-11T15:57:39.635734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170201 2
 
1.9%
20100629 2
 
1.9%
20170228 2
 
1.9%
20210607 1
 
0.9%
20140922 1
 
0.9%
20170109 1
 
0.9%
20150428 1
 
0.9%
20140124 1
 
0.9%
20160223 1
 
0.9%
20190131 1
 
0.9%
Other values (42) 42
39.3%
(Missing) 52
48.6%
ValueCountFrequency (%)
20070330 1
0.9%
20070830 1
0.9%
20090819 1
0.9%
20100222 1
0.9%
20100325 1
0.9%
20100528 1
0.9%
20100629 2
1.9%
20100928 1
0.9%
20110126 1
0.9%
20111031 1
0.9%
ValueCountFrequency (%)
20221230 1
0.9%
20221222 1
0.9%
20221031 1
0.9%
20221017 1
0.9%
20220408 1
0.9%
20211217 1
0.9%
20211026 1
0.9%
20210607 1
0.9%
20210309 1
0.9%
20210129 1
0.9%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
106 
20200129
 
1

Length

Max length8
Median length4
Mean length4.0373832
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
99.1%
20200129 1
 
0.9%

Length

2024-05-11T15:57:39.810053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:40.270116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
99.1%
20200129 1
 
0.9%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct59
Distinct (%)98.3%
Missing47
Missing (%)43.9%
Memory size988.0 B
2024-05-11T15:57:40.574299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.3333333
Min length8

Characters and Unicode

Total characters560
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

Unique58 ?
Unique (%)96.7%

Sample

1st row02-966-3078
2nd row2212-0606
3rd row2246-1256
4th row2294-5179
5th row2242-5591
ValueCountFrequency (%)
965-1012 2
 
3.3%
6052-0823 1
 
1.7%
2282-6176 1
 
1.7%
907-5366 1
 
1.7%
02-2281-5774 1
 
1.7%
02-2299-5409 1
 
1.7%
02-959-9767 1
 
1.7%
02-966-2743 1
 
1.7%
927-2006 1
 
1.7%
434-9803 1
 
1.7%
Other values (49) 49
81.7%
2024-05-11T15:57:41.153366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 102
18.2%
- 74
13.2%
9 63
11.2%
0 55
9.8%
4 47
8.4%
3 46
8.2%
6 40
 
7.1%
1 36
 
6.4%
5 35
 
6.2%
7 32
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 486
86.8%
Dash Punctuation 74
 
13.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 102
21.0%
9 63
13.0%
0 55
11.3%
4 47
9.7%
3 46
9.5%
6 40
 
8.2%
1 36
 
7.4%
5 35
 
7.2%
7 32
 
6.6%
8 30
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 560
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 102
18.2%
- 74
13.2%
9 63
11.2%
0 55
9.8%
4 47
8.4%
3 46
8.2%
6 40
 
7.1%
1 36
 
6.4%
5 35
 
6.2%
7 32
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 102
18.2%
- 74
13.2%
9 63
11.2%
0 55
9.8%
4 47
8.4%
3 46
8.2%
6 40
 
7.1%
1 36
 
6.4%
5 35
 
6.2%
7 32
 
5.7%

소재지면적
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.34729
Minimum0
Maximum463.8
Zeros88
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:57:41.358397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile249.247
Maximum463.8
Range463.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation89.338476
Coefficient of variation (CV)2.8499585
Kurtosis11.391086
Mean31.34729
Median Absolute Deviation (MAD)0
Skewness3.3815056
Sum3354.16
Variance7981.3632
MonotonicityNot monotonic
2024-05-11T15:57:41.505602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 88
82.2%
66.12 1
 
0.9%
383.26 1
 
0.9%
154.7 1
 
0.9%
128.6 1
 
0.9%
301.96 1
 
0.9%
73.6 1
 
0.9%
130.8 1
 
0.9%
438.64 1
 
0.9%
247.0 1
 
0.9%
Other values (10) 10
 
9.3%
ValueCountFrequency (%)
0.0 88
82.2%
20.25 1
 
0.9%
27.52 1
 
0.9%
50.44 1
 
0.9%
66.12 1
 
0.9%
69.33 1
 
0.9%
70.38 1
 
0.9%
70.49 1
 
0.9%
73.6 1
 
0.9%
121.94 1
 
0.9%
ValueCountFrequency (%)
463.8 1
0.9%
438.64 1
0.9%
383.26 1
0.9%
301.96 1
0.9%
285.12 1
0.9%
250.21 1
0.9%
247.0 1
0.9%
154.7 1
0.9%
130.8 1
0.9%
128.6 1
0.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

Distinct106
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-05-11T15:57:41.859809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length24.738318
Min length19

Characters and Unicode

Total characters2647
Distinct characters67
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

Unique105 ?
Unique (%)98.1%

Sample

1st row서울특별시 동대문구 장안동 392-3번지
2nd row서울특별시 동대문구 제기동 486-3번지
3rd row서울특별시 동대문구 장안동 185-19번지
4th row서울특별시 동대문구 장안동 395-10번지 1층
5th row서울특별시 동대문구 전농동 209-136번지
ValueCountFrequency (%)
서울특별시 107
21.9%
동대문구 107
21.9%
장안동 31
 
6.3%
1층 28
 
5.7%
답십리동 24
 
4.9%
용두동 16
 
3.3%
제기동 16
 
3.3%
전농동 10
 
2.0%
지하1층 6
 
1.2%
휘경동 5
 
1.0%
Other values (119) 139
28.4%
2024-05-11T15:57:42.458229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
451
17.0%
동 218
 
8.2%
1 153
 
5.8%
대 108
 
4.1%
문 108
 
4.1%
서 107
 
4.0%
구 107
 
4.0%
울 107
 
4.0%
시 107
 
4.0%
특 107
 
4.0%
Other values (57) 1074
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1541
58.2%
Decimal Number 547
 
20.7%
Space Separator 451
 
17.0%
Dash Punctuation 98
 
3.7%
Other Punctuation 4
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 218
14.1%
대 108
 
7.0%
문 108
 
7.0%
서 107
 
6.9%
구 107
 
6.9%
울 107
 
6.9%
시 107
 
6.9%
특 107
 
6.9%
별 107
 
6.9%
지 69
 
4.5%
Other values (42) 396
25.7%
Decimal Number
ValueCountFrequency (%)
1 153
28.0%
2 58
 
10.6%
3 58
 
10.6%
9 48
 
8.8%
4 45
 
8.2%
8 45
 
8.2%
6 44
 
8.0%
5 34
 
6.2%
0 33
 
6.0%
7 29
 
5.3%
Space Separator
ValueCountFrequency (%)
451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1541
58.2%
Common 1106
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 218
14.1%
대 108
 
7.0%
문 108
 
7.0%
서 107
 
6.9%
구 107
 
6.9%
울 107
 
6.9%
시 107
 
6.9%
특 107
 
6.9%
별 107
 
6.9%
지 69
 
4.5%
Other values (42) 396
25.7%
Common
ValueCountFrequency (%)
451
40.8%
1 153
 
13.8%
- 98
 
8.9%
2 58
 
5.2%
3 58
 
5.2%
9 48
 
4.3%
4 45
 
4.1%
8 45
 
4.1%
6 44
 
4.0%
5 34
 
3.1%
Other values (5) 72
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1541
58.2%
ASCII 1106
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
451
40.8%
1 153
 
13.8%
- 98
 
8.9%
2 58
 
5.2%
3 58
 
5.2%
9 48
 
4.3%
4 45
 
4.1%
8 45
 
4.1%
6 44
 
4.0%
5 34
 
3.1%
Other values (5) 72
 
6.5%
Hangul
ValueCountFrequency (%)
동 218
14.1%
대 108
 
7.0%
문 108
 
7.0%
서 107
 
6.9%
구 107
 
6.9%
울 107
 
6.9%
시 107
 
6.9%
특 107
 
6.9%
별 107
 
6.9%
지 69
 
4.5%
Other values (42) 396
25.7%

도로명주소
Text

MISSING 

Distinct102
Distinct (%)98.1%
Missing3
Missing (%)2.8%
Memory size988.0 B
2024-05-11T15:57:42.887573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length30.259615
Min length24

Characters and Unicode

Total characters3147
Distinct characters94
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

Unique100 ?
Unique (%)96.2%

Sample

1st row서울특별시 동대문구 답십리로66길 75 (장안동)
2nd row서울특별시 동대문구 답십리로64길 87 (장안동)
3rd row서울특별시 동대문구 장한로17길 48 (장안동,1층)
4th row서울특별시 동대문구 답십리로23길 133 (전농동)
5th row서울특별시 동대문구 답십리로68길 87 (장안동)
ValueCountFrequency (%)
서울특별시 104
17.3%
동대문구 104
17.3%
1층 40
 
6.7%
장안동 27
 
4.5%
답십리동 23
 
3.8%
용두동 16
 
2.7%
제기동 14
 
2.3%
전농동 9
 
1.5%
한천로 7
 
1.2%
천호대로 7
 
1.2%
Other values (175) 249
41.5%
2024-05-11T15:57:43.524333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
496
 
15.8%
동 219
 
7.0%
1 128
 
4.1%
대 118
 
3.7%
시 109
 
3.5%
서 107
 
3.4%
울 107
 
3.4%
문 106
 
3.4%
) 106
 
3.4%
( 106
 
3.4%
Other values (84) 1545
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1870
59.4%
Space Separator 496
 
15.8%
Decimal Number 482
 
15.3%
Close Punctuation 106
 
3.4%
Open Punctuation 106
 
3.4%
Other Punctuation 75
 
2.4%
Dash Punctuation 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 219
 
11.7%
대 118
 
6.3%
시 109
 
5.8%
서 107
 
5.7%
울 107
 
5.7%
문 106
 
5.7%
별 104
 
5.6%
특 104
 
5.6%
로 104
 
5.6%
구 104
 
5.6%
Other values (69) 688
36.8%
Decimal Number
ValueCountFrequency (%)
1 128
26.6%
3 65
13.5%
2 60
12.4%
4 50
 
10.4%
5 35
 
7.3%
6 33
 
6.8%
0 31
 
6.4%
8 28
 
5.8%
9 26
 
5.4%
7 26
 
5.4%
Space Separator
ValueCountFrequency (%)
496
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1870
59.4%
Common 1277
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 219
 
11.7%
대 118
 
6.3%
시 109
 
5.8%
서 107
 
5.7%
울 107
 
5.7%
문 106
 
5.7%
별 104
 
5.6%
특 104
 
5.6%
로 104
 
5.6%
구 104
 
5.6%
Other values (69) 688
36.8%
Common
ValueCountFrequency (%)
496
38.8%
1 128
 
10.0%
) 106
 
8.3%
( 106
 
8.3%
, 75
 
5.9%
3 65
 
5.1%
2 60
 
4.7%
4 50
 
3.9%
5 35
 
2.7%
6 33
 
2.6%
Other values (5) 123
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1870
59.4%
ASCII 1277
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
496
38.8%
1 128
 
10.0%
) 106
 
8.3%
( 106
 
8.3%
, 75
 
5.9%
3 65
 
5.1%
2 60
 
4.7%
4 50
 
3.9%
5 35
 
2.7%
6 33
 
2.6%
Other values (5) 123
 
9.6%
Hangul
ValueCountFrequency (%)
동 219
 
11.7%
대 118
 
6.3%
시 109
 
5.8%
서 107
 
5.7%
울 107
 
5.7%
문 106
 
5.7%
별 104
 
5.6%
특 104
 
5.6%
로 104
 
5.6%
구 104
 
5.6%
Other values (69) 688
36.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)69.2%
Missing29
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean4212.1795
Minimum2439
Maximum130836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:57:43.745244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2439
5-th percentile2477.25
Q12535.5
median2575
Q32599.25
95-th percentile2631.3
Maximum130836
Range128397
Interquartile range (IQR)63.75

Descriptive statistics

Standard deviation14523.598
Coefficient of variation (CV)3.4480008
Kurtosis77.998332
Mean4212.1795
Median Absolute Deviation (MAD)32.5
Skewness8.831621
Sum328550
Variance2.109349 × 108
MonotonicityNot monotonic
2024-05-11T15:57:43.945106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2597 4
 
3.7%
2627 4
 
3.7%
2602 3
 
2.8%
2525 3
 
2.8%
2566 3
 
2.8%
2585 3
 
2.8%
2596 3
 
2.8%
2535 3
 
2.8%
2572 3
 
2.8%
2534 2
 
1.9%
Other values (44) 47
43.9%
(Missing) 29
27.1%
ValueCountFrequency (%)
2439 1
 
0.9%
2445 1
 
0.9%
2462 1
 
0.9%
2473 1
 
0.9%
2478 1
 
0.9%
2479 1
 
0.9%
2483 1
 
0.9%
2511 1
 
0.9%
2518 1
 
0.9%
2525 3
2.8%
ValueCountFrequency (%)
130836 1
 
0.9%
2640 1
 
0.9%
2639 1
 
0.9%
2633 1
 
0.9%
2631 1
 
0.9%
2627 4
3.7%
2626 1
 
0.9%
2625 1
 
0.9%
2624 1
 
0.9%
2623 1
 
0.9%

사업장명
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-05-11T15:57:44.269813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.2523364
Min length2

Characters and Unicode

Total characters669
Distinct characters163
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

Unique107 ?
Unique (%)100.0%

Sample

1st row닭엔드덕푸드
2nd row준미식품
3rd row윤초시농장
4th row삼복유통
5th row세원
ValueCountFrequency (%)
주식회사 13
 
10.5%
농업회사법인 2
 
1.6%
경란축산 2
 
1.6%
주)참돈축산 1
 
0.8%
다원한우 1
 
0.8%
주)반듯한우 1
 
0.8%
더원피앤에프 1
 
0.8%
명품축산 1
 
0.8%
가온축산 1
 
0.8%
명문한우 1
 
0.8%
Other values (100) 100
80.6%
2024-05-11T15:57:44.849742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
6.4%
산 29
 
4.3%
축 28
 
4.2%
) 28
 
4.2%
( 28
 
4.2%
드 23
 
3.4%
푸 22
 
3.3%
회 21
 
3.1%
사 21
 
3.1%
우 20
 
3.0%
Other values (153) 406
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 591
88.3%
Close Punctuation 28
 
4.2%
Open Punctuation 28
 
4.2%
Space Separator 17
 
2.5%
Uppercase Letter 4
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
7.3%
산 29
 
4.9%
축 28
 
4.7%
드 23
 
3.9%
푸 22
 
3.7%
회 21
 
3.6%
사 21
 
3.6%
우 20
 
3.4%
식 18
 
3.0%
트 14
 
2.4%
Other values (145) 352
59.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
P 1
25.0%
S 1
25.0%
K 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 591
88.3%
Common 74
 
11.1%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
7.3%
산 29
 
4.9%
축 28
 
4.7%
드 23
 
3.9%
푸 22
 
3.7%
회 21
 
3.6%
사 21
 
3.6%
우 20
 
3.4%
식 18
 
3.0%
트 14
 
2.4%
Other values (145) 352
59.6%
Common
ValueCountFrequency (%)
) 28
37.8%
( 28
37.8%
17
23.0%
& 1
 
1.4%
Latin
ValueCountFrequency (%)
B 1
25.0%
P 1
25.0%
S 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 591
88.3%
ASCII 78
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
7.3%
산 29
 
4.9%
축 28
 
4.7%
드 23
 
3.9%
푸 22
 
3.7%
회 21
 
3.6%
사 21
 
3.6%
우 20
 
3.4%
식 18
 
3.0%
트 14
 
2.4%
Other values (145) 352
59.6%
ASCII
ValueCountFrequency (%)
) 28
35.9%
( 28
35.9%
17
21.8%
B 1
 
1.3%
& 1
 
1.3%
P 1
 
1.3%
S 1
 
1.3%
K 1
 
1.3%

최종수정일자
Date

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2007-03-30 11:28:45
Maximum2024-03-07 09:17:49
2024-05-11T15:57:45.059941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:45.260587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
I
63 
U
44 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 63
58.9%
U 44
41.1%

Length

2024-05-11T15:57:45.432456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:45.551143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 63
58.9%
u 44
41.1%

데이터갱신일자
Date

Distinct53
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:09:00
2024-05-11T15:57:45.738987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:45.991743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct94
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204605.78
Minimum202321.75
Maximum206413.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:57:46.215770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202321.75
5-th percentile202820.57
Q1203642.92
median204650.61
Q3205755.82
95-th percentile206076.71
Maximum206413.26
Range4091.509
Interquartile range (IQR)2112.9

Descriptive statistics

Standard deviation1152.0274
Coefficient of variation (CV)0.0056304734
Kurtosis-1.3169587
Mean204605.78
Median Absolute Deviation (MAD)1103.9182
Skewness-0.17925704
Sum21892819
Variance1327167.2
MonotonicityNot monotonic
2024-05-11T15:57:46.422887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203254.520083136 3
 
2.8%
204097.201776864 3
 
2.8%
205762.994263246 3
 
2.8%
205856.812159093 2
 
1.9%
205571.898958419 2
 
1.9%
205917.522937297 2
 
1.9%
203355.83113305 2
 
1.9%
206028.301563038 2
 
1.9%
204414.3020846 2
 
1.9%
205980.446353274 2
 
1.9%
Other values (84) 84
78.5%
ValueCountFrequency (%)
202321.748118565 1
0.9%
202614.628344865 1
0.9%
202664.685028124 1
0.9%
202691.468014855 1
0.9%
202797.81703383 1
0.9%
202812.037196555 1
0.9%
202840.467562367 1
0.9%
202867.943147214 1
0.9%
202880.493384188 1
0.9%
202881.503111864 1
0.9%
ValueCountFrequency (%)
206413.257155668 1
0.9%
206401.188819875 1
0.9%
206334.600160329 1
0.9%
206101.159109039 1
0.9%
206092.085653607 1
0.9%
206079.697118079 1
0.9%
206069.750657495 1
0.9%
206061.805720599 1
0.9%
206028.301563038 2
1.9%
206009.889359654 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct94
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452655.93
Minimum451112.04
Maximum455464.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:57:46.620727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451112.04
5-th percentile451683.35
Q1452059.19
median452510.85
Q3453119.35
95-th percentile453995.56
Maximum455464.88
Range4352.8443
Interquartile range (IQR)1060.158

Descriptive statistics

Standard deviation746.47931
Coefficient of variation (CV)0.0016491098
Kurtosis1.0542742
Mean452655.93
Median Absolute Deviation (MAD)514.29164
Skewness0.83039194
Sum48434184
Variance557231.36
MonotonicityNot monotonic
2024-05-11T15:57:46.807563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452487.042671279 3
 
2.8%
452075.510388308 3
 
2.8%
452510.004742539 3
 
2.8%
451927.323878996 2
 
1.9%
451821.005176654 2
 
1.9%
452800.459420414 2
 
1.9%
453178.435305643 2
 
1.9%
452488.555598838 2
 
1.9%
452015.306152932 2
 
1.9%
452784.198824668 2
 
1.9%
Other values (84) 84
78.5%
ValueCountFrequency (%)
451112.038571824 1
0.9%
451460.510691169 1
0.9%
451548.926994278 1
0.9%
451587.641888986 1
0.9%
451648.6469225 1
0.9%
451676.784289618 1
0.9%
451698.684110718 1
0.9%
451773.578874717 1
0.9%
451821.005176654 2
1.9%
451836.114333614 1
0.9%
ValueCountFrequency (%)
455464.88282512 1
0.9%
454379.046708686 1
0.9%
454301.598264458 1
0.9%
454247.178669814 1
0.9%
454182.452784872 1
0.9%
454001.549348372 1
0.9%
453981.580413289 1
0.9%
453956.396423929 1
0.9%
453931.202574193 1
0.9%
453836.217003486 1
0.9%

축산업무구분명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
식육포장처리업
71 
<NA>
36 

Length

Max length7
Median length7
Mean length5.9906542
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 71
66.4%
<NA> 36
33.6%

Length

2024-05-11T15:57:46.994434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:47.122472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 71
66.4%
na 36
33.6%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
식육포장처리업
71 
<NA>
36 

Length

Max length7
Median length7
Mean length5.9906542
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 71
66.4%
<NA> 36
33.6%

Length

2024-05-11T15:57:47.265922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:47.387746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 71
66.4%
na 36
33.6%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
102 
0
 
5

Length

Max length4
Median length4
Mean length3.8598131
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> 102
95.3%
0 5
 
4.7%

Length

2024-05-11T15:57:47.521767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:47.634343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
95.3%
0 5
 
4.7%

권리주체일련번호
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
000
44 
<NA>
36 
L00
27 

Length

Max length4
Median length3
Mean length3.3364486
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 44
41.1%
<NA> 36
33.6%
L00 27
25.2%

Length

2024-05-11T15:57:47.775701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:47.915009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 44
41.1%
na 36
33.6%
l00 27
25.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
102 
0
 
5

Length

Max length4
Median length4
Mean length3.8598131
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> 102
95.3%
0 5
 
4.7%

Length

2024-05-11T15:57:48.111696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:48.265302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
95.3%
0 5
 
4.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0305000030500000042003000520030708<NA>1영업/정상0정상<NA><NA><NA><NA>02-966-307866.12<NA>서울특별시 동대문구 장안동 392-3번지서울특별시 동대문구 답십리로66길 75 (장안동)2625닭엔드덕푸드2020-01-21 14:20:52U2020-01-23 02:40:00.0<NA>205856.812159451927.323879식육포장처리업식육포장처리업<NA>000<NA>
1305000030500000042006000120060420<NA>3폐업2폐업20121018<NA><NA><NA><NA>69.33<NA>서울특별시 동대문구 제기동 486-3번지<NA><NA>준미식품2012-10-18 15:01:43I2018-08-31 23:59:59.0<NA>203764.865997453260.151576식육포장처리업식육포장처리업<NA>000<NA>
2305000030500000042006000220060320<NA>3폐업2폐업20070830<NA><NA><NA>2212-060620.25<NA>서울특별시 동대문구 장안동 185-19번지서울특별시 동대문구 답십리로64길 87 (장안동)<NA>윤초시농장2007-08-30 15:46:43I2018-08-31 23:59:59.0<NA>205718.216015451867.64095식육포장처리업식육포장처리업<NA>000<NA>
3305000030500000042006000720060330<NA>3폐업2폐업20151207<NA><NA><NA>2246-12560.0<NA>서울특별시 동대문구 장안동 395-10번지 1층서울특별시 동대문구 장한로17길 48 (장안동,1층)<NA>삼복유통2015-12-07 14:42:02I2018-08-31 23:59:59.0<NA>205754.532022451698.684111식육포장처리업식육포장처리업<NA>000<NA>
4305000030500000042006000820060414<NA>3폐업2폐업20070330<NA><NA><NA>2294-51790.0<NA>서울특별시 동대문구 전농동 209-136번지서울특별시 동대문구 답십리로23길 133 (전농동)<NA>세원2007-03-30 11:28:45I2018-08-31 23:59:59.0<NA>204537.145325453183.948473식육포장처리업식육포장처리업<NA>000<NA>
5305000030500000042006000920060512<NA>3폐업2폐업20100629<NA><NA><NA>2242-559170.38<NA>서울특별시 동대문구 장안동 381-11번지서울특별시 동대문구 답십리로68길 87 (장안동)<NA>우성유통2010-06-30 15:03:47I2018-08-31 23:59:59.0<NA>205924.152404451840.723298식육포장처리업식육포장처리업<NA>000<NA>
630500003050000004200600102006-05-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 답십리동 33-27서울특별시 동대문구 답십리로48길 65 (답십리동)<NA>담양축산2023-05-18 10:10:47U2022-12-04 22:00:00.0<NA>205037.4066451948.063965<NA><NA><NA><NA><NA>
7305000030500000042006001220060721<NA>3폐업2폐업20100222<NA><NA><NA>928-299470.49<NA>서울특별시 동대문구 제기동 177-1번지서울특별시 동대문구 약령시로2길 59 (제기동)<NA>하늘땅유통2010-02-22 11:24:32I2018-08-31 23:59:59.0<NA>202880.493384453347.081168식육포장처리업식육포장처리업<NA>000<NA>
8305000030500000042006001320060727<NA>3폐업2폐업20121206<NA><NA><NA>2244-393327.52<NA>서울특별시 동대문구 장안동 116-6번지서울특별시 동대문구 답십리로65길 93 (장안동)<NA>한어리축산2012-12-06 17:19:07I2018-08-31 23:59:59.0<NA>206092.085654452723.165954식육포장처리업식육포장처리업<NA>000<NA>
9305000030500000042006001420060728<NA>3폐업2폐업20160511<NA><NA><NA>957-0488250.21<NA>서울특별시 동대문구 제기동 813-1번지 지하1층<NA><NA>부자한신2016-05-11 09:27:12I2018-08-31 23:59:59.0<NA>203296.617876453535.343604식육포장처리업식육포장처리업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
9730500003050000104202200072022-08-22<NA>1영업/정상0정상<NA><NA><NA><NA>070-8804-58680.0<NA>서울특별시 동대문구 장안동 338-2서울특별시 동대문구 장한로24길 46, 1층 (장안동)2639우정한우육가공2023-08-18 14:17:15U2022-12-07 22:00:00.0<NA>206401.18882451959.26133<NA><NA><NA><NA><NA>
98305000030500001042022000820221024<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 장안동 188-19 1층서울특별시 동대문구 한천로 82, 1층 (장안동)2627명문한우유통2022-10-24 17:13:53I2021-10-30 22:06:00.0<NA>205571.898958451821.005177<NA><NA><NA><NA><NA>
99305000030500001042022000920221103<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 답십리동 482-86 1층서울특별시 동대문구 황물로 93, 1층 (답십리동)2602정성한우2022-11-03 13:59:46I2021-11-01 00:06:00.0<NA>204414.302085452015.306153<NA><NA><NA><NA><NA>
10030500003050000104202200102022-11-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 청량리동 567 1층서울특별시 동대문구 홍릉로15길 6, 1층 (청량리동)2483(주)눈꽃한우유통2024-01-30 15:29:23U2023-12-02 00:01:00.0<NA>203739.621298453680.055881<NA><NA><NA><NA><NA>
101305000030500001042022001120131118<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 답십리동 465-72 1층서울특별시 동대문구 천호대로 219, 1층 (답십리동)2597(주)영찬2022-12-29 09:48:35I2021-11-01 21:01:00.0<NA>204097.201777452075.510388<NA><NA><NA><NA><NA>
10230500003050000104202300012010-07-13<NA>1영업/정상0정상<NA><NA><NA><NA>2282-61760.0<NA>서울특별시 동대문구 제기동 892-94 1층서울특별시 동대문구 정릉천동로 120, 1층 (제기동)2478(주)동신축산2023-03-02 10:35:26I2022-12-03 00:04:00.0<NA>203132.892503453412.412821<NA><NA><NA><NA><NA>
10330500003050000104202300022023-03-24<NA>1영업/정상0정상<NA><NA><NA><NA>2299-24770.0<NA>서울특별시 동대문구 장안동 382-9 지하 1층서울특별시 동대문구 답십리로68길 69, 지하 1층 (장안동)2624(주)태진푸드2023-03-24 16:06:56I2022-12-02 22:06:00.0<NA>205961.825167451916.893368<NA><NA><NA><NA><NA>
10430500003050000104202300032023-03-29<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 용두동 103-43 102호서울특별시 동대문구 천호대로 83, 102호 (용두동)2585설화한우2023-03-29 09:54:50I2022-12-02 21:01:00.0<NA>202812.037197452436.634875<NA><NA><NA><NA><NA>
10530500003050000104202300042023-05-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 장안동 164-11 1층서울특별시 동대문구 한천로20길 3, 1층 (장안동)2626(주)바른돈2024-01-31 11:36:38U2023-12-02 00:02:00.0<NA>205647.528275451946.020382<NA><NA><NA><NA><NA>
10630500003050000104202400012024-03-07<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 제기동 590 1층 102호서울특별시 동대문구 왕산로33길 38, 1층 102호 (제기동)2572새벽우2024-03-07 09:17:49I2023-12-03 00:09:00.0<NA>203630.409867453200.640747<NA><NA><NA><NA><NA>