Overview

Dataset statistics

Number of variables30
Number of observations702
Missing cells4515
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory173.6 KiB
Average record size in memory253.2 B

Variable types

Categorical13
Numeric4
DateTime6
Unsupported3
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-18130/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 is highly imbalanced (98.4%)Imbalance
인허가취소일자 has 702 (100.0%) missing valuesMissing
폐업일자 has 454 (64.7%) missing valuesMissing
휴업시작일자 has 694 (98.9%) missing valuesMissing
휴업종료일자 has 694 (98.9%) missing valuesMissing
전화번호 has 521 (74.2%) missing valuesMissing
소재지우편번호 has 702 (100.0%) missing valuesMissing
도로명주소 has 42 (6.0%) missing valuesMissing
업태구분명 has 702 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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 619 (88.2%) zerosZeros

Reproduction

Analysis started2024-04-17 17:58:10.480213
Analysis finished2024-04-17 17:58:11.008945
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
3030000
702 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 702
100.0%

Length

2024-04-18T02:58:11.057368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:11.129108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 702
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct702
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0300001 × 1017
Minimum3.03 × 1017
Maximum3.0300001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-18T02:58:11.210747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.03 × 1017
5-th percentile3.03 × 1017
Q13.03 × 1017
median3.0300001 × 1017
Q33.0300001 × 1017
95-th percentile3.0300001 × 1017
Maximum3.0300001 × 1017
Range1.000029 × 1010
Interquartile range (IQR)1.000009 × 1010

Descriptive statistics

Standard deviation4.8087556 × 109
Coefficient of variation (CV)1.587048 × 10-8
Kurtosis-1.6726108
Mean3.0300001 × 1017
Median Absolute Deviation (MAD)64960
Skewness-0.57633552
Sum-8.6549241 × 1018
Variance2.3124131 × 1019
MonotonicityStrictly increasing
2024-04-18T02:58:11.316728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303000000419950001 1
 
0.1%
303000010420150039 1
 
0.1%
303000010420150031 1
 
0.1%
303000010420150032 1
 
0.1%
303000010420150033 1
 
0.1%
303000010420150034 1
 
0.1%
303000010420150035 1
 
0.1%
303000010420150036 1
 
0.1%
303000010420150037 1
 
0.1%
303000010420150038 1
 
0.1%
Other values (692) 692
98.6%
ValueCountFrequency (%)
303000000419950001 1
0.1%
303000000419960001 1
0.1%
303000000419970001 1
0.1%
303000000419970002 1
0.1%
303000000420020005 1
0.1%
303000000420030007 1
0.1%
303000000420030008 1
0.1%
303000000420030015 1
0.1%
303000000420030021 1
0.1%
303000000420030025 1
0.1%
ValueCountFrequency (%)
303000010420240017 1
0.1%
303000010420240016 1
0.1%
303000010420240015 1
0.1%
303000010420240014 1
0.1%
303000010420240013 1
0.1%
303000010420240012 1
0.1%
303000010420240011 1
0.1%
303000010420240010 1
0.1%
303000010420240009 1
0.1%
303000010420240008 1
0.1%

인허가일자
Date

Distinct556
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum1995-07-14 00:00:00
Maximum2024-04-08 00:00:00
2024-04-18T02:58:11.417053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:11.514043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing702
Missing (%)100.0%
Memory size6.3 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
1
426 
3
235 
4
 
33
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
1 426
60.7%
3 235
33.5%
4 33
 
4.7%
2 8
 
1.1%

Length

2024-04-18T02:58:11.624481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:11.704956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 426
60.7%
3 235
33.5%
4 33
 
4.7%
2 8
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
영업/정상
426 
폐업
235 
취소/말소/만료/정지/중지
 
33
휴업
 
8

Length

Max length14
Median length5
Mean length4.3846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row폐업
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 426
60.7%
폐업 235
33.5%
취소/말소/만료/정지/중지 33
 
4.7%
휴업 8
 
1.1%

Length

2024-04-18T02:58:11.789617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:11.869200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 426
60.7%
폐업 235
33.5%
취소/말소/만료/정지/중지 33
 
4.7%
휴업 8
 
1.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
0
426 
2
235 
4
 
28
1
 
8
3
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row0
3rd row2
4th row2
5th row4

Common Values

ValueCountFrequency (%)
0 426
60.7%
2 235
33.5%
4 28
 
4.0%
1 8
 
1.1%
3 5
 
0.7%

Length

2024-04-18T02:58:11.951384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:12.031712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 426
60.7%
2 235
33.5%
4 28
 
4.0%
1 8
 
1.1%
3 5
 
0.7%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
정상
426 
폐업
235 
말소
 
28
휴업
 
8
행정처분
 
5

Length

Max length4
Median length2
Mean length2.014245
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 426
60.7%
폐업 235
33.5%
말소 28
 
4.0%
휴업 8
 
1.1%
행정처분 5
 
0.7%

Length

2024-04-18T02:58:12.123482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:12.210591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 426
60.7%
폐업 235
33.5%
말소 28
 
4.0%
휴업 8
 
1.1%
행정처분 5
 
0.7%

폐업일자
Date

MISSING 

Distinct228
Distinct (%)91.9%
Missing454
Missing (%)64.7%
Memory size5.6 KiB
Minimum2005-03-18 00:00:00
Maximum2024-04-08 00:00:00
2024-04-18T02:58:12.294632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:12.391694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing694
Missing (%)98.9%
Memory size5.6 KiB
Minimum2023-11-10 00:00:00
Maximum2024-03-29 00:00:00
2024-04-18T02:58:12.474343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:12.551523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업종료일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing694
Missing (%)98.9%
Memory size5.6 KiB
Minimum2024-09-18 00:00:00
Maximum2030-03-29 00:00:00
2024-04-18T02:58:12.625337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:12.925581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
701 
20080717
 
1

Length

Max length8
Median length4
Mean length4.005698
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 701
99.9%
20080717 1
 
0.1%

Length

2024-04-18T02:58:13.023976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:13.107462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
99.9%
20080717 1
 
0.1%

전화번호
Text

MISSING 

Distinct174
Distinct (%)96.1%
Missing521
Missing (%)74.2%
Memory size5.6 KiB
2024-04-18T02:58:13.302174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length9
Mean length10.226519
Min length8

Characters and Unicode

Total characters1851
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)92.3%

Sample

1st row2296-8877
2nd row3395-7967
3rd row02-2292-4655
4th row02-299-2707
5th row02-2294-9102
ValueCountFrequency (%)
2296-5330 2
 
1.1%
2281-7253 2
 
1.1%
2297-3800 2
 
1.1%
2292-1201 2
 
1.1%
02-2294-1254 2
 
1.1%
02-2297-3394 2
 
1.1%
2281-8714 2
 
1.1%
02-2299-9698 1
 
0.6%
2299-1109 1
 
0.6%
299-1057 1
 
0.6%
Other values (164) 164
90.6%
2024-04-18T02:58:13.615241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 505
27.3%
- 253
13.7%
9 222
12.0%
0 171
 
9.2%
4 117
 
6.3%
8 114
 
6.2%
1 114
 
6.2%
6 97
 
5.2%
7 87
 
4.7%
5 85
 
4.6%
Other values (3) 86
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1596
86.2%
Dash Punctuation 253
 
13.7%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 505
31.6%
9 222
13.9%
0 171
 
10.7%
4 117
 
7.3%
8 114
 
7.1%
1 114
 
7.1%
6 97
 
6.1%
7 87
 
5.5%
5 85
 
5.3%
3 84
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1851
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 505
27.3%
- 253
13.7%
9 222
12.0%
0 171
 
9.2%
4 117
 
6.3%
8 114
 
6.2%
1 114
 
6.2%
6 97
 
5.2%
7 87
 
4.7%
5 85
 
4.6%
Other values (3) 86
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 505
27.3%
- 253
13.7%
9 222
12.0%
0 171
 
9.2%
4 117
 
6.3%
8 114
 
6.2%
1 114
 
6.2%
6 97
 
5.2%
7 87
 
4.7%
5 85
 
4.6%
Other values (3) 86
 
4.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.371909
Minimum0
Maximum1028.7
Zeros619
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-18T02:58:13.736493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile72.585
Maximum1028.7
Range1028.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation60.450318
Coefficient of variation (CV)4.8860947
Kurtosis166.48346
Mean12.371909
Median Absolute Deviation (MAD)0
Skewness11.545143
Sum8685.08
Variance3654.2409
MonotonicityNot monotonic
2024-04-18T02:58:13.848480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 619
88.2%
50.4 3
 
0.4%
76.0 2
 
0.3%
63.2 1
 
0.1%
65.9 1
 
0.1%
46.0 1
 
0.1%
40.6 1
 
0.1%
43.9 1
 
0.1%
52.3 1
 
0.1%
46.8 1
 
0.1%
Other values (71) 71
 
10.1%
ValueCountFrequency (%)
0.0 619
88.2%
20.72 1
 
0.1%
40.0 1
 
0.1%
40.4 1
 
0.1%
40.6 1
 
0.1%
43.07 1
 
0.1%
43.9 1
 
0.1%
44.6 1
 
0.1%
45.1 1
 
0.1%
45.4 1
 
0.1%
ValueCountFrequency (%)
1028.7 1
0.1%
824.0 1
0.1%
450.6 1
0.1%
427.0 1
0.1%
225.0 1
0.1%
164.12 1
0.1%
160.6 1
0.1%
157.7 1
0.1%
138.7 1
0.1%
136.2 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing702
Missing (%)100.0%
Memory size6.3 KiB

지번주소
Text

Distinct646
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-04-18T02:58:14.138240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length24.373219
Min length13

Characters and Unicode

Total characters17110
Distinct characters142
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique595 ?
Unique (%)84.8%

Sample

1st row서울특별시 성동구 마장동 514-8번지
2nd row서울특별시 성동구 마장동 512-7 금강빌딩 2층, 4층
3rd row서울특별시 성동구 성수동2가 277-24번지
4th row서울특별시 성동구 마장동 514-4번지 지하1층
5th row서울특별시 성동구 마장동 778-7번지
ValueCountFrequency (%)
서울특별시 702
20.5%
성동구 702
20.5%
마장동 637
18.6%
1층 228
 
6.7%
지하1층 69
 
2.0%
2층 26
 
0.8%
성수동2가 16
 
0.5%
용답동 15
 
0.4%
102호 13
 
0.4%
101호 13
 
0.4%
Other values (588) 1006
29.4%
2024-04-18T02:58:14.555381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3083
18.0%
동 1441
 
8.4%
1 1029
 
6.0%
성 743
 
4.3%
특 704
 
4.1%
시 703
 
4.1%
서 702
 
4.1%
별 702
 
4.1%
구 702
 
4.1%
울 702
 
4.1%
Other values (132) 6599
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9372
54.8%
Decimal Number 3822
22.3%
Space Separator 3083
 
18.0%
Dash Punctuation 666
 
3.9%
Other Punctuation 119
 
0.7%
Uppercase Letter 25
 
0.1%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1441
15.4%
성 743
7.9%
특 704
7.5%
시 703
7.5%
서 702
7.5%
별 702
7.5%
구 702
7.5%
울 702
7.5%
마 641
 
6.8%
장 640
 
6.8%
Other values (109) 1692
18.1%
Decimal Number
ValueCountFrequency (%)
1 1029
26.9%
5 437
11.4%
2 430
11.3%
4 407
 
10.6%
7 306
 
8.0%
0 296
 
7.7%
3 266
 
7.0%
6 256
 
6.7%
9 214
 
5.6%
8 181
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 17
68.0%
A 5
 
20.0%
C 1
 
4.0%
M 1
 
4.0%
S 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 118
99.2%
@ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
3083
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 666
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9372
54.8%
Common 7712
45.1%
Latin 26
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1441
15.4%
성 743
7.9%
특 704
7.5%
시 703
7.5%
서 702
7.5%
별 702
7.5%
구 702
7.5%
울 702
7.5%
마 641
 
6.8%
장 640
 
6.8%
Other values (109) 1692
18.1%
Common
ValueCountFrequency (%)
3083
40.0%
1 1029
 
13.3%
- 666
 
8.6%
5 437
 
5.7%
2 430
 
5.6%
4 407
 
5.3%
7 306
 
4.0%
0 296
 
3.8%
3 266
 
3.4%
6 256
 
3.3%
Other values (7) 536
 
7.0%
Latin
ValueCountFrequency (%)
B 17
65.4%
A 5
 
19.2%
C 1
 
3.8%
b 1
 
3.8%
M 1
 
3.8%
S 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9372
54.8%
ASCII 7738
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3083
39.8%
1 1029
 
13.3%
- 666
 
8.6%
5 437
 
5.6%
2 430
 
5.6%
4 407
 
5.3%
7 306
 
4.0%
0 296
 
3.8%
3 266
 
3.4%
6 256
 
3.3%
Other values (13) 562
 
7.3%
Hangul
ValueCountFrequency (%)
동 1441
15.4%
성 743
7.9%
특 704
7.5%
시 703
7.5%
서 702
7.5%
별 702
7.5%
구 702
7.5%
울 702
7.5%
마 641
 
6.8%
장 640
 
6.8%
Other values (109) 1692
18.1%

도로명주소
Text

MISSING 

Distinct579
Distinct (%)87.7%
Missing42
Missing (%)6.0%
Memory size5.6 KiB
2024-04-18T02:58:14.816672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length32.024242
Min length24

Characters and Unicode

Total characters21136
Distinct characters176
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique510 ?
Unique (%)77.3%

Sample

1st row서울특별시 성동구 마장로31길 18 (마장동)
2nd row서울특별시 성동구 고산자로22길 8, 금강빌딩 2층, 4층 (마장동)
3rd row서울특별시 성동구 아차산로9길 20 (성수동2가)
4th row서울특별시 성동구 마장로44길 17 (마장동)
5th row서울특별시 성동구 고산자로 327-10 (마장동)
ValueCountFrequency (%)
서울특별시 660
16.5%
성동구 660
16.5%
마장동 540
 
13.5%
1층 284
 
7.1%
마장로31길 84
 
2.1%
지하1층 64
 
1.6%
마장로35길 45
 
1.1%
청계천로10가길 43
 
1.1%
고산자로 41
 
1.0%
마장로35나길 31
 
0.8%
Other values (447) 1547
38.7%
2024-04-18T02:58:15.198519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3343
 
15.8%
동 1362
 
6.4%
1 1248
 
5.9%
마 960
 
4.5%
장 955
 
4.5%
, 732
 
3.5%
성 710
 
3.4%
) 667
 
3.2%
( 667
 
3.2%
시 665
 
3.1%
Other values (166) 9827
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11873
56.2%
Decimal Number 3655
 
17.3%
Space Separator 3343
 
15.8%
Other Punctuation 733
 
3.5%
Close Punctuation 667
 
3.2%
Open Punctuation 667
 
3.2%
Dash Punctuation 170
 
0.8%
Uppercase Letter 23
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1362
 
11.5%
마 960
 
8.1%
장 955
 
8.0%
성 710
 
6.0%
시 665
 
5.6%
특 662
 
5.6%
서 661
 
5.6%
울 661
 
5.6%
구 660
 
5.6%
별 660
 
5.6%
Other values (144) 3917
33.0%
Decimal Number
ValueCountFrequency (%)
1 1248
34.1%
3 550
15.0%
2 497
 
13.6%
0 278
 
7.6%
4 274
 
7.5%
5 245
 
6.7%
6 160
 
4.4%
7 157
 
4.3%
9 145
 
4.0%
8 101
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 16
69.6%
A 5
 
21.7%
M 1
 
4.3%
S 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 732
99.9%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3343
100.0%
Close Punctuation
ValueCountFrequency (%)
) 667
100.0%
Open Punctuation
ValueCountFrequency (%)
( 667
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11873
56.2%
Common 9239
43.7%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1362
 
11.5%
마 960
 
8.1%
장 955
 
8.0%
성 710
 
6.0%
시 665
 
5.6%
특 662
 
5.6%
서 661
 
5.6%
울 661
 
5.6%
구 660
 
5.6%
별 660
 
5.6%
Other values (144) 3917
33.0%
Common
ValueCountFrequency (%)
3343
36.2%
1 1248
 
13.5%
, 732
 
7.9%
) 667
 
7.2%
( 667
 
7.2%
3 550
 
6.0%
2 497
 
5.4%
0 278
 
3.0%
4 274
 
3.0%
5 245
 
2.7%
Other values (7) 738
 
8.0%
Latin
ValueCountFrequency (%)
B 16
66.7%
A 5
 
20.8%
b 1
 
4.2%
M 1
 
4.2%
S 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11873
56.2%
ASCII 9263
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3343
36.1%
1 1248
 
13.5%
, 732
 
7.9%
) 667
 
7.2%
( 667
 
7.2%
3 550
 
5.9%
2 497
 
5.4%
0 278
 
3.0%
4 274
 
3.0%
5 245
 
2.6%
Other values (12) 762
 
8.2%
Hangul
ValueCountFrequency (%)
동 1362
 
11.5%
마 960
 
8.1%
장 955
 
8.0%
성 710
 
6.0%
시 665
 
5.6%
특 662
 
5.6%
서 661
 
5.6%
울 661
 
5.6%
구 660
 
5.6%
별 660
 
5.6%
Other values (144) 3917
33.0%

도로명우편번호
Categorical

Distinct37
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
173 
04704
134 
04748
105 
04749
77 
04752
76 
Other values (32)
137 

Length

Max length7
Median length5
Mean length4.7578348
Min length4

Unique

Unique13 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row04749
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 173
24.6%
04704 134
19.1%
04748 105
15.0%
04749 77
11.0%
04752 76
10.8%
04756 33
 
4.7%
04705 16
 
2.3%
04757 12
 
1.7%
04753 10
 
1.4%
04750 9
 
1.3%
Other values (27) 57
 
8.1%

Length

2024-04-18T02:58:15.306868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 173
24.6%
04704 134
19.1%
04748 105
15.0%
04749 77
11.0%
04752 76
10.8%
04756 33
 
4.7%
04705 16
 
2.3%
04757 12
 
1.7%
04753 10
 
1.4%
04750 9
 
1.3%
Other values (27) 57
 
8.1%

사업장명
Text

Distinct668
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-04-18T02:58:15.503541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.8575499
Min length2

Characters and Unicode

Total characters4814
Distinct characters346
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique637 ?
Unique (%)90.7%

Sample

1st row(주)코박이
2nd row(주)금강축산유통
3rd row(주)미트원에프앤디
4th row해원식품
5th row(주)청정대영축산
ValueCountFrequency (%)
주식회사 96
 
11.5%
농업회사법인 20
 
2.4%
주)태우그린푸드 3
 
0.4%
주)한우플러스 3
 
0.4%
우하누 3
 
0.4%
효창 3
 
0.4%
한양유통 2
 
0.2%
주)한우풍 2
 
0.2%
정진 2
 
0.2%
벼리한우 2
 
0.2%
Other values (670) 702
83.8%
2024-04-18T02:58:15.837313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 382
 
7.9%
) 274
 
5.7%
( 274
 
5.7%
산 213
 
4.4%
축 201
 
4.2%
우 169
 
3.5%
한 167
 
3.5%
136
 
2.8%
회 132
 
2.7%
사 131
 
2.7%
Other values (336) 2735
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4096
85.1%
Close Punctuation 274
 
5.7%
Open Punctuation 274
 
5.7%
Space Separator 136
 
2.8%
Uppercase Letter 12
 
0.2%
Lowercase Letter 10
 
0.2%
Other Punctuation 7
 
0.1%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 382
 
9.3%
산 213
 
5.2%
축 201
 
4.9%
우 169
 
4.1%
한 167
 
4.1%
회 132
 
3.2%
사 131
 
3.2%
식 123
 
3.0%
유 102
 
2.5%
통 98
 
2.4%
Other values (312) 2378
58.1%
Lowercase Letter
ValueCountFrequency (%)
o 3
30.0%
u 1
 
10.0%
t 1
 
10.0%
p 1
 
10.0%
f 1
 
10.0%
d 1
 
10.0%
y 1
 
10.0%
b 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
25.0%
S 3
25.0%
J 2
16.7%
P 2
16.7%
F 1
 
8.3%
T 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 3
42.9%
. 2
28.6%
? 1
 
14.3%
# 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
2 2
40.0%
1 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 274
100.0%
Open Punctuation
ValueCountFrequency (%)
( 274
100.0%
Space Separator
ValueCountFrequency (%)
136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4096
85.1%
Common 696
 
14.5%
Latin 22
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 382
 
9.3%
산 213
 
5.2%
축 201
 
4.9%
우 169
 
4.1%
한 167
 
4.1%
회 132
 
3.2%
사 131
 
3.2%
식 123
 
3.0%
유 102
 
2.5%
통 98
 
2.4%
Other values (312) 2378
58.1%
Latin
ValueCountFrequency (%)
o 3
13.6%
B 3
13.6%
S 3
13.6%
J 2
9.1%
P 2
9.1%
u 1
 
4.5%
t 1
 
4.5%
p 1
 
4.5%
f 1
 
4.5%
d 1
 
4.5%
Other values (4) 4
18.2%
Common
ValueCountFrequency (%)
) 274
39.4%
( 274
39.4%
136
19.5%
& 3
 
0.4%
0 2
 
0.3%
2 2
 
0.3%
. 2
 
0.3%
? 1
 
0.1%
1 1
 
0.1%
# 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4096
85.1%
ASCII 718
 
14.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 382
 
9.3%
산 213
 
5.2%
축 201
 
4.9%
우 169
 
4.1%
한 167
 
4.1%
회 132
 
3.2%
사 131
 
3.2%
식 123
 
3.0%
유 102
 
2.5%
통 98
 
2.4%
Other values (312) 2378
58.1%
ASCII
ValueCountFrequency (%)
) 274
38.2%
( 274
38.2%
136
18.9%
o 3
 
0.4%
B 3
 
0.4%
& 3
 
0.4%
S 3
 
0.4%
0 2
 
0.3%
J 2
 
0.3%
2 2
 
0.3%
Other values (14) 16
 
2.2%

최종수정일자
Date

UNIQUE 

Distinct702
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum2005-03-18 15:23:51
Maximum2024-04-08 15:50:19
2024-04-18T02:58:15.942162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:16.042301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
U
497 
I
205 

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 (%)
U 497
70.8%
I 205
29.2%

Length

2024-04-18T02:58:16.152107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:16.226208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 497
70.8%
i 205
29.2%

데이터갱신일자
Date

Distinct293
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-18T02:58:16.310768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:58:16.429891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing702
Missing (%)100.0%
Memory size6.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct348
Distinct (%)49.7%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean203414.43
Minimum201366.04
Maximum206355.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-18T02:58:16.532645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201366.04
5-th percentile202946.62
Q1203202.23
median203337.62
Q3203558.97
95-th percentile204249.39
Maximum206355.33
Range4989.2925
Interquartile range (IQR)356.73217

Descriptive statistics

Standard deviation424.80451
Coefficient of variation (CV)0.0020883696
Kurtosis10.154823
Mean203414.43
Median Absolute Deviation (MAD)155.02209
Skewness2.1519057
Sum1.423901 × 108
Variance180458.87
MonotonicityNot monotonic
2024-04-18T02:58:16.636239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203340.811443367 13
 
1.9%
203563.745183854 13
 
1.9%
203689.261216457 12
 
1.7%
203481.881882663 10
 
1.4%
203576.594691866 9
 
1.3%
203398.210134055 8
 
1.1%
203335.294724706 8
 
1.1%
203491.829329751 7
 
1.0%
203558.966603071 7
 
1.0%
203306.572094637 7
 
1.0%
Other values (338) 606
86.3%
ValueCountFrequency (%)
201366.036667659 1
0.1%
202377.244035216 1
0.1%
202523.044558332 2
0.3%
202608.261144597 1
0.1%
202611.447766623 1
0.1%
202683.177783024 2
0.3%
202795.384443911 1
0.1%
202804.395408996 1
0.1%
202840.206271137 1
0.1%
202855.996531475 2
0.3%
ValueCountFrequency (%)
206355.329194411 1
0.1%
206302.321886409 1
0.1%
205510.769389567 1
0.1%
205271.427684297 1
0.1%
205237.727637096 1
0.1%
205167.535545926 1
0.1%
205116.298634583 1
0.1%
205086.097992961 1
0.1%
204965.130972038 1
0.1%
204869.396677574 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct348
Distinct (%)49.7%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean451766.51
Minimum448364.04
Maximum452138.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-18T02:58:16.736629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448364.04
5-th percentile451301.05
Q1451745.95
median451908.86
Q3452003.46
95-th percentile452106
Maximum452138.17
Range3774.1359
Interquartile range (IQR)257.50912

Descriptive statistics

Standard deviation549.98344
Coefficient of variation (CV)0.0012174064
Kurtosis18.779735
Mean451766.51
Median Absolute Deviation (MAD)107.46072
Skewness-4.1964019
Sum3.1623656 × 108
Variance302481.78
MonotonicityNot monotonic
2024-04-18T02:58:16.853314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451839.483586888 13
 
1.9%
451999.051116446 13
 
1.9%
451908.86237999 12
 
1.7%
452082.819550985 10
 
1.4%
452041.559037331 9
 
1.3%
451972.103864063 8
 
1.1%
451982.297034715 8
 
1.1%
451823.651162763 7
 
1.0%
452063.134112732 7
 
1.0%
451987.097130954 7
 
1.0%
Other values (338) 606
86.3%
ValueCountFrequency (%)
448364.035419492 1
0.1%
448366.505563017 1
0.1%
448426.664742771 1
0.1%
448527.9260926 1
0.1%
448641.165627602 1
0.1%
448669.043360044 1
0.1%
448808.060834241 1
0.1%
448814.828260367 1
0.1%
448920.682564138 1
0.1%
449013.177277297 1
0.1%
ValueCountFrequency (%)
452138.17136839 3
0.4%
452136.43641437 3
0.4%
452130.256229522 2
0.3%
452127.749317533 2
0.3%
452126.951366987 2
0.3%
452125.754839211 3
0.4%
452123.823940035 1
 
0.1%
452119.787390161 1
 
0.1%
452119.471112417 1
 
0.1%
452118.573751193 4
0.6%

축산업무구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
식육포장처리업
390 
<NA>
312 

Length

Max length7
Median length7
Mean length5.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 390
55.6%
<NA> 312
44.4%

Length

2024-04-18T02:58:16.960267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:17.034489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 390
55.6%
na 312
44.4%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
식육포장처리업
390 
<NA>
312 

Length

Max length7
Median length7
Mean length5.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 390
55.6%
<NA> 312
44.4%

Length

2024-04-18T02:58:17.115038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:17.188968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 390
55.6%
na 312
44.4%

축산일련번호
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
532 
0
170 

Length

Max length4
Median length4
Mean length3.2735043
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> 532
75.8%
0 170
 
24.2%

Length

2024-04-18T02:58:17.281798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:17.375674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 532
75.8%
0 170
 
24.2%

권리주체일련번호
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
312 
000
201 
L00
189 

Length

Max length4
Median length3
Mean length3.4444444
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 312
44.4%
000 201
28.6%
L00 189
26.9%

Length

2024-04-18T02:58:17.466507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:17.566329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
44.4%
000 201
28.6%
l00 189
26.9%

총인원
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
532 
0
170 

Length

Max length4
Median length4
Mean length3.2735043
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> 532
75.8%
0 170
 
24.2%

Length

2024-04-18T02:58:17.659418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:58:17.734832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 532
75.8%
0 170
 
24.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0303000030300000041995000119950714<NA>3폐업2폐업20050318<NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 514-8번지서울특별시 성동구 마장로31길 18 (마장동)<NA>(주)코박이2005-03-18 15:23:51I2018-08-31 23:59:59.0<NA>203276.101954451726.395355식육포장처리업식육포장처리업<NA>L00<NA>
1303000030300000041996000119961205<NA>1영업/정상0정상<NA><NA><NA><NA><NA>427.0<NA>서울특별시 성동구 마장동 512-7 금강빌딩 2층, 4층서울특별시 성동구 고산자로22길 8, 금강빌딩 2층, 4층 (마장동)04749(주)금강축산유통2022-04-04 17:52:19U2021-12-04 00:07:00.0<NA>203307.986557451855.094086<NA><NA><NA><NA><NA>
2303000030300000041997000119970401<NA>3폐업2폐업20110214<NA><NA><NA><NA>450.6<NA>서울특별시 성동구 성수동2가 277-24번지서울특별시 성동구 아차산로9길 20 (성수동2가)<NA>(주)미트원에프앤디2011-02-14 16:35:42I2018-08-31 23:59:59.0<NA>205116.298635449289.354711식육포장처리업식육포장처리업<NA>L00<NA>
3303000030300000041997000219970715<NA>3폐업2폐업20120305<NA><NA><NA><NA>122.8<NA>서울특별시 성동구 마장동 514-4번지 지하1층<NA><NA>해원식품2012-03-05 16:36:41I2018-08-31 23:59:59.0<NA>203259.911867451662.023942식육포장처리업식육포장처리업<NA>000<NA>
4303000030300000042002000520020408<NA>4취소/말소/만료/정지/중지4말소20140430<NA><NA><NA>2296-8877225.0<NA>서울특별시 성동구 마장동 778-7번지서울특별시 성동구 마장로44길 17 (마장동)<NA>(주)청정대영축산2016-06-28 09:58:36I2018-08-31 23:59:59.0<NA>204010.740914451525.632293식육포장처리업식육포장처리업<NA>L00<NA>
5303000030300000042003000720030117<NA>4취소/말소/만료/정지/중지4말소20131227<NA><NA><NA>3395-796770.4<NA>서울특별시 성동구 마장동 568-4번지서울특별시 성동구 고산자로 327-10 (마장동)<NA>(주)하은미트2016-06-28 09:55:32I2018-08-31 23:59:59.0<NA>203189.314927451852.566387식육포장처리업식육포장처리업<NA>L00<NA>
6303000030300000042003000820030117<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 770-11서울특별시 성동구 마장로39가길 23 (마장동)<NA>장수한우2022-01-04 10:29:52U2022-01-06 02:40:00.0<NA>203687.45146451614.497677식육포장처리업식육포장처리업00000
7303000030300000042003001520030118<NA>1영업/정상0정상<NA><NA><NA><NA>02-2292-465553.0<NA>서울특별시 성동구 마장동 512-1서울특별시 성동구 고산자로22길 14 (마장동)<NA>(주)미래미트2022-01-04 10:31:49U2022-01-06 02:40:00.0<NA>203362.074166451844.484585식육포장처리업식육포장처리업0L000
8303000030300000042003002120030118<NA>3폐업2폐업20061020<NA><NA><NA>02-299-27070.0<NA>서울특별시 성동구 마장동 507-2번지서울특별시 성동구 고산자로26길 14 (마장동)<NA>대상농장(주)2006-10-20 13:05:16I2018-08-31 23:59:59.0<NA>203399.34725452007.157907식육포장처리업식육포장처리업<NA>L00<NA>
9303000030300000042003002520030118<NA>1영업/정상0정상<NA><NA><NA><NA>02-2294-91020.0<NA>서울특별시 성동구 마장동 520-9 지하1층서울특별시 성동구 고산자로 330, 지하1층 (마장동)04749주식회사 솔마루미트2020-07-16 14:50:34U2020-07-21 02:40:00.0<NA>203244.913097451811.299239식육포장처리업식육포장처리업<NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
69230300003030000104202400082024-03-07<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 458-14서울특별시 성동구 청계천로10나길 32, 1층 (마장동)04704한양유통2024-03-07 10:10:14I2023-12-03 00:09:00.0<NA>203003.275964451953.125974<NA><NA><NA><NA><NA>
69330300003030000104202400092024-03-07<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 507-4 미성빌딩서울특별시 성동구 마장로31나길 7, 미성빌딩 102호 (마장동)04748(주)대현미트2024-03-07 10:18:50I2023-12-03 00:09:00.0<NA>203357.749238452016.323104<NA><NA><NA><NA><NA>
69430300003030000104202400102024-03-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 518-1서울특별시 성동구 고산자로18길 4, 지하1층 (마장동)04749양주축산2024-03-13 15:19:14I2023-12-02 23:06:00.0<NA>203228.497763451633.473958<NA><NA><NA><NA><NA>
69530300003030000104202400112024-03-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 458-2서울특별시 성동구 청계천로10나길 36-10, 1층 (마장동)04704(주)승민축산유통2024-03-13 15:20:24I2023-12-02 23:06:00.0<NA>203020.744457451944.515056<NA><NA><NA><NA><NA>
69630300003030000104202400122024-03-14<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 510-5서울특별시 성동구 고산자로24길 12, 1층,지하1층 (마장동)04748전일축산2024-03-14 09:37:52I2023-12-02 23:06:00.0<NA>203355.713662451945.908476<NA><NA><NA><NA><NA>
69730300003030000104202400132024-03-21<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 465-32서울특별시 성동구 청계천로10가길 82, 지하1층,1층 (마장동)04704(주)수북축산2024-03-21 09:24:27I2023-12-02 22:03:00.0<NA>203152.956269452130.25623<NA><NA><NA><NA><NA>
69830300003030000104202400142024-03-25<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 818 현대아파트서울특별시 성동구 마장로35길 76, 현대아파트 107호 (마장동)04753세화한우2024-03-25 09:56:09I2023-12-02 22:07:00.0<NA>203689.261216451908.86238<NA><NA><NA><NA><NA>
69930300003030000104202400152024-03-26<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 마장동 520-28서울특별시 성동구 고산자로 322, 1층 (마장동)04749나우에프앤에스2024-03-26 17:32:54I2023-12-02 22:08:00.0<NA>203231.105306451775.451216<NA><NA><NA><NA><NA>
70030300003030000104202400162024-04-02<NA>1영업/정상0정상<NA><NA><NA><NA>02-2292-97450.0<NA>서울특별시 성동구 마장동 521-9서울특별시 성동구 고산자로 336, 1층 (마장동)04748(주)산동축산2024-04-02 09:14:18I2023-12-04 00:04:00.0<NA>203261.445157451920.471997<NA><NA><NA><NA><NA>
70130300003030000104202400172024-04-08<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성동구 성수동1가 13-214 동진아이티타워서울특별시 성동구 상원12길 30, 동진아이티타워 지2층 B201호 (성수동1가)04790주식회사 씨씨프라이드2024-04-08 15:50:19I2023-12-03 23:00:00.0<NA>204404.595953449754.076984<NA><NA><NA><NA><NA>