Overview

Dataset statistics

Number of variables30
Number of observations27
Missing cells141
Missing cells (%)17.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory260.9 B

Variable types

Categorical13
Numeric6
DateTime3
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-18104/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 is highly imbalanced (58.6%)Imbalance
축산업무구분명 is highly imbalanced (61.9%)Imbalance
인허가취소일자 has 27 (100.0%) missing valuesMissing
폐업일자 has 8 (29.6%) missing valuesMissing
휴업시작일자 has 27 (100.0%) missing valuesMissing
휴업종료일자 has 27 (100.0%) missing valuesMissing
전화번호 has 9 (33.3%) missing valuesMissing
소재지우편번호 has 27 (100.0%) missing valuesMissing
도로명주소 has 2 (7.4%) missing valuesMissing
도로명우편번호 has 12 (44.4%) missing valuesMissing
좌표정보(X) has 1 (3.7%) missing valuesMissing
좌표정보(Y) has 1 (3.7%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 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 19 (70.4%) zerosZeros

Reproduction

Analysis started2024-05-11 07:22:23.218511
Analysis finished2024-05-11 07:22:24.340531
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
3020000
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 27
100.0%

Length

2024-05-11T07:22:24.641518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:25.064258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 27
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.02 × 1017
Minimum3.02 × 1017
Maximum3.02 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T07:22:25.460282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.02 × 1017
5-th percentile3.02 × 1017
Q13.02 × 1017
median3.02 × 1017
Q33.02 × 1017
95-th percentile3.02 × 1017
Maximum3.02 × 1017
Range200002
Interquartile range (IQR)94976

Descriptive statistics

Standard deviation59138.647
Coefficient of variation (CV)1.9582333 × 10-13
Kurtosis-1.0187129
Mean3.02 × 1017
Median Absolute Deviation (MAD)49984
Skewness-0.26133816
Sum8.154 × 1018
Variance3.4973795 × 109
MonotonicityStrictly increasing
2024-05-11T07:22:25.903842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
302000000419990001 1
 
3.7%
302000000420020001 1
 
3.7%
302000000420190003 1
 
3.7%
302000000420190002 1
 
3.7%
302000000420190001 1
 
3.7%
302000000420180001 1
 
3.7%
302000000420170003 1
 
3.7%
302000000420170002 1
 
3.7%
302000000420170001 1
 
3.7%
302000000420150002 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
302000000419990001 1
3.7%
302000000420020001 1
3.7%
302000000420030001 1
3.7%
302000000420030002 1
3.7%
302000000420040001 1
3.7%
302000000420040002 1
3.7%
302000000420060001 1
3.7%
302000000420070001 1
3.7%
302000000420080001 1
3.7%
302000000420090001 1
3.7%
ValueCountFrequency (%)
302000000420190003 1
3.7%
302000000420190002 1
3.7%
302000000420190001 1
3.7%
302000000420180001 1
3.7%
302000000420170003 1
3.7%
302000000420170002 1
3.7%
302000000420170001 1
3.7%
302000000420150002 1
3.7%
302000000420150001 1
3.7%
302000000420140001 1
3.7%

인허가일자
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum1999-07-06 00:00:00
Maximum2019-05-27 00:00:00
2024-05-11T07:22:26.818857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:22:27.318992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
3
17 
1
6 
4
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 17
63.0%
1 6
 
22.2%
4 4
 
14.8%

Length

2024-05-11T07:22:27.857050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:28.323998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 17
63.0%
1 6
 
22.2%
4 4
 
14.8%

영업상태명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
폐업
17 
영업/정상
6 
취소/말소/만료/정지/중지
4 

Length

Max length14
Median length2
Mean length4.4444444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 17
63.0%
영업/정상 6
 
22.2%
취소/말소/만료/정지/중지 4
 
14.8%

Length

2024-05-11T07:22:28.853122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:29.415991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 17
63.0%
영업/정상 6
 
22.2%
취소/말소/만료/정지/중지 4
 
14.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
2
17 
0
6 
3
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
2 17
63.0%
0 6
 
22.2%
3 3
 
11.1%
4 1
 
3.7%

Length

2024-05-11T07:22:29.915050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:30.377994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 17
63.0%
0 6
 
22.2%
3 3
 
11.1%
4 1
 
3.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
폐업
17 
정상
6 
행정처분
3 
말소
 
1

Length

Max length4
Median length2
Mean length2.2222222
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 17
63.0%
정상 6
 
22.2%
행정처분 3
 
11.1%
말소 1
 
3.7%

Length

2024-05-11T07:22:30.769592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:31.116807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 17
63.0%
정상 6
 
22.2%
행정처분 3
 
11.1%
말소 1
 
3.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing8
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean20145965
Minimum20060310
Maximum20221026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T07:22:31.435586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060310
5-th percentile20078418
Q120120616
median20140402
Q320171201
95-th percentile20220292
Maximum20221026
Range160716
Interquartile range (IQR)50585.5

Descriptive statistics

Standard deviation43181.917
Coefficient of variation (CV)0.0021434524
Kurtosis-0.19510927
Mean20145965
Median Absolute Deviation (MAD)20282
Skewness0.089876761
Sum3.8277334 × 108
Variance1.864678 × 109
MonotonicityNot monotonic
2024-05-11T07:22:31.801052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20171201 2
 
7.4%
20130128 1
 
3.7%
20191231 1
 
3.7%
20221026 1
 
3.7%
20160122 1
 
3.7%
20151231 1
 
3.7%
20220211 1
 
3.7%
20120917 1
 
3.7%
20060310 1
 
3.7%
20121011 1
 
3.7%
Other values (8) 8
29.6%
(Missing) 8
29.6%
ValueCountFrequency (%)
20060310 1
3.7%
20080430 1
3.7%
20120119 1
3.7%
20120120 1
3.7%
20120404 1
3.7%
20120827 1
3.7%
20120917 1
3.7%
20121011 1
3.7%
20130128 1
3.7%
20140402 1
3.7%
ValueCountFrequency (%)
20221026 1
3.7%
20220211 1
3.7%
20201231 1
3.7%
20191231 1
3.7%
20171201 2
7.4%
20160122 1
3.7%
20151231 1
3.7%
20151222 1
3.7%
20140402 1
3.7%
20130128 1
3.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

재개업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
23 
20171201
 
2
20201231
 
1
20221026
 
1

Length

Max length8
Median length4
Mean length4.5925926
Min length4

Unique

Unique2 ?
Unique (%)7.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
85.2%
20171201 2
 
7.4%
20201231 1
 
3.7%
20221026 1
 
3.7%

Length

2024-05-11T07:22:32.502152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:33.106042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
85.2%
20171201 2
 
7.4%
20201231 1
 
3.7%
20221026 1
 
3.7%

전화번호
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing9
Missing (%)33.3%
Memory size348.0 B
2024-05-11T07:22:33.688990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length10.5
Min length7

Characters and Unicode

Total characters189
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st row713-6844
2nd row797-1234
3rd row798-5314
4th row793-4414
5th row02-790-5314
ValueCountFrequency (%)
790-3216 1
 
5.6%
798-5314 1
 
5.6%
02-797-1234 1
 
5.6%
02-2140-9000 1
 
5.6%
02-712-1250 1
 
5.6%
02-792-2921 1
 
5.6%
070-8879-1967 1
 
5.6%
031-732-8494 1
 
5.6%
2272-5959/706-4578 1
 
5.6%
713-6844 1
 
5.6%
Other values (8) 8
44.4%
2024-05-11T07:22:35.168600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 27
14.3%
7 26
13.8%
0 26
13.8%
2 25
13.2%
9 19
10.1%
1 16
8.5%
4 15
7.9%
3 12
6.3%
8 8
 
4.2%
5 8
 
4.2%
Other values (2) 7
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 161
85.2%
Dash Punctuation 27
 
14.3%
Other Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 26
16.1%
0 26
16.1%
2 25
15.5%
9 19
11.8%
1 16
9.9%
4 15
9.3%
3 12
7.5%
8 8
 
5.0%
5 8
 
5.0%
6 6
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 189
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 27
14.3%
7 26
13.8%
0 26
13.8%
2 25
13.2%
9 19
10.1%
1 16
8.5%
4 15
7.9%
3 12
6.3%
8 8
 
4.2%
5 8
 
4.2%
Other values (2) 7
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 27
14.3%
7 26
13.8%
0 26
13.8%
2 25
13.2%
9 19
10.1%
1 16
8.5%
4 15
7.9%
3 12
6.3%
8 8
 
4.2%
5 8
 
4.2%
Other values (2) 7
 
3.7%

소재지면적
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.97407
Minimum0
Maximum3627
Zeros19
Zeros (%)70.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T07:22:35.711242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3132.5
95-th percentile1084.9
Maximum3627
Range3627
Interquartile range (IQR)132.5

Descriptive statistics

Standard deviation730.89413
Coefficient of variation (CV)2.900672
Kurtosis18.874083
Mean251.97407
Median Absolute Deviation (MAD)0
Skewness4.184693
Sum6803.3
Variance534206.23
MonotonicityNot monotonic
2024-05-11T07:22:36.396707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 19
70.4%
3627.0 1
 
3.7%
1300.0 1
 
3.7%
149.0 1
 
3.7%
468.0 1
 
3.7%
116.0 1
 
3.7%
583.0 1
 
3.7%
339.1 1
 
3.7%
221.2 1
 
3.7%
ValueCountFrequency (%)
0.0 19
70.4%
116.0 1
 
3.7%
149.0 1
 
3.7%
221.2 1
 
3.7%
339.1 1
 
3.7%
468.0 1
 
3.7%
583.0 1
 
3.7%
1300.0 1
 
3.7%
3627.0 1
 
3.7%
ValueCountFrequency (%)
3627.0 1
 
3.7%
1300.0 1
 
3.7%
583.0 1
 
3.7%
468.0 1
 
3.7%
339.1 1
 
3.7%
221.2 1
 
3.7%
149.0 1
 
3.7%
116.0 1
 
3.7%
0.0 19
70.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

지번주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-11T07:22:37.041004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length28
Mean length25.703704
Min length19

Characters and Unicode

Total characters694
Distinct characters66
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

Unique27 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 신계동 114번지
2nd row서울특별시 용산구 한남동 747-7
3rd row서울특별시 용산구 주성동 17번지
4th row서울특별시 용산구 한강로1가 158번지
5th row서울특별시 용산구 한남동 732-21번지
ValueCountFrequency (%)
서울특별시 27
21.6%
용산구 27
21.6%
이태원동 5
 
4.0%
지하1층 5
 
4.0%
한남동 4
 
3.2%
보광동 4
 
3.2%
한강로3가 3
 
2.4%
지상1층 3
 
2.4%
주성동 2
 
1.6%
지상2층 2
 
1.6%
Other values (42) 43
34.4%
2024-05-11T07:22:38.102233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
 
17.7%
1 35
 
5.0%
지 31
 
4.5%
산 27
 
3.9%
울 27
 
3.9%
구 27
 
3.9%
서 27
 
3.9%
용 27
 
3.9%
별 27
 
3.9%
특 27
 
3.9%
Other values (56) 316
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 401
57.8%
Decimal Number 138
 
19.9%
Space Separator 123
 
17.7%
Dash Punctuation 25
 
3.6%
Open Punctuation 2
 
0.3%
Other Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 31
 
7.7%
산 27
 
6.7%
울 27
 
6.7%
구 27
 
6.7%
서 27
 
6.7%
용 27
 
6.7%
별 27
 
6.7%
특 27
 
6.7%
시 27
 
6.7%
동 23
 
5.7%
Other values (40) 131
32.7%
Decimal Number
ValueCountFrequency (%)
1 35
25.4%
2 18
13.0%
3 18
13.0%
4 13
 
9.4%
8 12
 
8.7%
7 11
 
8.0%
6 9
 
6.5%
5 8
 
5.8%
0 7
 
5.1%
9 7
 
5.1%
Space Separator
ValueCountFrequency (%)
123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 401
57.8%
Common 292
42.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 31
 
7.7%
산 27
 
6.7%
울 27
 
6.7%
구 27
 
6.7%
서 27
 
6.7%
용 27
 
6.7%
별 27
 
6.7%
특 27
 
6.7%
시 27
 
6.7%
동 23
 
5.7%
Other values (40) 131
32.7%
Common
ValueCountFrequency (%)
123
42.1%
1 35
 
12.0%
- 25
 
8.6%
2 18
 
6.2%
3 18
 
6.2%
4 13
 
4.5%
8 12
 
4.1%
7 11
 
3.8%
6 9
 
3.1%
5 8
 
2.7%
Other values (5) 20
 
6.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 401
57.8%
ASCII 293
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
42.0%
1 35
 
11.9%
- 25
 
8.5%
2 18
 
6.1%
3 18
 
6.1%
4 13
 
4.4%
8 12
 
4.1%
7 11
 
3.8%
6 9
 
3.1%
5 8
 
2.7%
Other values (6) 21
 
7.2%
Hangul
ValueCountFrequency (%)
지 31
 
7.7%
산 27
 
6.7%
울 27
 
6.7%
구 27
 
6.7%
서 27
 
6.7%
용 27
 
6.7%
별 27
 
6.7%
특 27
 
6.7%
시 27
 
6.7%
동 23
 
5.7%
Other values (40) 131
32.7%

도로명주소
Text

MISSING 

Distinct24
Distinct (%)96.0%
Missing2
Missing (%)7.4%
Memory size348.0 B
2024-05-11T07:22:38.797066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length29.4
Min length22

Characters and Unicode

Total characters735
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row서울특별시 용산구 소월로 322 (한남동)
2nd row서울특별시 용산구 서빙고로91가길 8 (주성동)
3rd row서울특별시 용산구 한강대로62나길 6 (한강로1가)
4th row서울특별시 용산구 우사단로10길 39 (한남동)
5th row서울특별시 용산구 한강대로92길 6 (갈월동)
ValueCountFrequency (%)
서울특별시 25
 
18.0%
용산구 25
 
18.0%
한남동 4
 
2.9%
보광동 4
 
2.9%
지하1층 4
 
2.9%
이태원동 4
 
2.9%
1층 3
 
2.2%
소월로 2
 
1.4%
322 2
 
1.4%
8-18 2
 
1.4%
Other values (57) 64
46.0%
2024-05-11T07:22:39.862686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
15.5%
1 34
 
4.6%
서 29
 
3.9%
로 29
 
3.9%
( 27
 
3.7%
) 27
 
3.7%
용 25
 
3.4%
산 25
 
3.4%
울 25
 
3.4%
시 25
 
3.4%
Other values (65) 375
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 439
59.7%
Space Separator 114
 
15.5%
Decimal Number 107
 
14.6%
Open Punctuation 27
 
3.7%
Close Punctuation 27
 
3.7%
Other Punctuation 17
 
2.3%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 29
 
6.6%
로 29
 
6.6%
용 25
 
5.7%
산 25
 
5.7%
울 25
 
5.7%
시 25
 
5.7%
별 25
 
5.7%
특 25
 
5.7%
구 25
 
5.7%
동 22
 
5.0%
Other values (50) 184
41.9%
Decimal Number
ValueCountFrequency (%)
1 34
31.8%
2 17
15.9%
3 13
 
12.1%
8 11
 
10.3%
9 8
 
7.5%
6 8
 
7.5%
4 6
 
5.6%
7 5
 
4.7%
0 3
 
2.8%
5 2
 
1.9%
Space Separator
ValueCountFrequency (%)
114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 439
59.7%
Common 296
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 29
 
6.6%
로 29
 
6.6%
용 25
 
5.7%
산 25
 
5.7%
울 25
 
5.7%
시 25
 
5.7%
별 25
 
5.7%
특 25
 
5.7%
구 25
 
5.7%
동 22
 
5.0%
Other values (50) 184
41.9%
Common
ValueCountFrequency (%)
114
38.5%
1 34
 
11.5%
( 27
 
9.1%
) 27
 
9.1%
, 17
 
5.7%
2 17
 
5.7%
3 13
 
4.4%
8 11
 
3.7%
9 8
 
2.7%
6 8
 
2.7%
Other values (5) 20
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 439
59.7%
ASCII 296
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
38.5%
1 34
 
11.5%
( 27
 
9.1%
) 27
 
9.1%
, 17
 
5.7%
2 17
 
5.7%
3 13
 
4.4%
8 11
 
3.7%
9 8
 
2.7%
6 8
 
2.7%
Other values (5) 20
 
6.8%
Hangul
ValueCountFrequency (%)
서 29
 
6.6%
로 29
 
6.6%
용 25
 
5.7%
산 25
 
5.7%
울 25
 
5.7%
시 25
 
5.7%
별 25
 
5.7%
특 25
 
5.7%
구 25
 
5.7%
동 22
 
5.0%
Other values (50) 184
41.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing12
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean4380.2
Minimum4312
Maximum4420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T07:22:40.254696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4312
5-th percentile4328.1
Q14356
median4390
Q34410
95-th percentile4416.5
Maximum4420
Range108
Interquartile range (IQR)54

Descriptive statistics

Standard deviation33.14298
Coefficient of variation (CV)0.007566545
Kurtosis-0.51062436
Mean4380.2
Median Absolute Deviation (MAD)24
Skewness-0.66924045
Sum65703
Variance1098.4571
MonotonicityNot monotonic
2024-05-11T07:22:40.621675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4390 2
 
7.4%
4380 2
 
7.4%
4347 1
 
3.7%
4413 1
 
3.7%
4407 1
 
3.7%
4365 1
 
3.7%
4414 1
 
3.7%
4391 1
 
3.7%
4344 1
 
3.7%
4420 1
 
3.7%
Other values (3) 3
 
11.1%
(Missing) 12
44.4%
ValueCountFrequency (%)
4312 1
3.7%
4335 1
3.7%
4344 1
3.7%
4347 1
3.7%
4365 1
3.7%
4380 2
7.4%
4390 2
7.4%
4391 1
3.7%
4407 1
3.7%
4413 1
3.7%
ValueCountFrequency (%)
4420 1
3.7%
4415 1
3.7%
4414 1
3.7%
4413 1
3.7%
4407 1
3.7%
4391 1
3.7%
4390 2
7.4%
4380 2
7.4%
4365 1
3.7%
4347 1
3.7%

사업장명
Text

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-11T07:22:41.172579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length17
Mean length9.7777778
Min length2

Characters and Unicode

Total characters264
Distinct characters115
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)85.2%

Sample

1st row경복식품
2nd row그랜드하얏트서울
3rd row성림미트앤푸드(주)
4th row구례축산
5th rowKOREA MUSLIM FOOD HALAL(K.M.F.HALAL)
ValueCountFrequency (%)
주)마마스푸드 2
 
5.7%
그랜드하얏트서울 2
 
5.7%
경복식품 1
 
2.9%
bristolbangers 1
 
2.9%
주)한일관프로덕츠 1
 
2.9%
maker 1
 
2.9%
트로이메이커(troy 1
 
2.9%
살라미뮤지엄 1
 
2.9%
주)에프씨천상 1
 
2.9%
바베큐 1
 
2.9%
Other values (23) 23
65.7%
2024-05-11T07:22:42.069413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 14
 
5.3%
) 14
 
5.3%
주 10
 
3.8%
A 9
 
3.4%
8
 
3.0%
이 7
 
2.7%
L 6
 
2.3%
드 6
 
2.3%
O 5
 
1.9%
R 5
 
1.9%
Other values (105) 180
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
54.2%
Uppercase Letter 61
23.1%
Lowercase Letter 21
 
8.0%
Open Punctuation 14
 
5.3%
Close Punctuation 14
 
5.3%
Space Separator 8
 
3.0%
Other Punctuation 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
7.0%
이 7
 
4.9%
드 6
 
4.2%
스 5
 
3.5%
트 4
 
2.8%
서 4
 
2.8%
에 4
 
2.8%
푸 4
 
2.8%
마 4
 
2.8%
라 3
 
2.1%
Other values (68) 92
64.3%
Uppercase Letter
ValueCountFrequency (%)
A 9
14.8%
L 6
 
9.8%
O 5
 
8.2%
R 5
 
8.2%
F 4
 
6.6%
M 4
 
6.6%
C 3
 
4.9%
I 3
 
4.9%
E 3
 
4.9%
B 3
 
4.9%
Other values (10) 16
26.2%
Lowercase Letter
ValueCountFrequency (%)
r 3
14.3%
o 3
14.3%
a 3
14.3%
s 2
9.5%
n 2
9.5%
b 1
 
4.8%
e 1
 
4.8%
g 1
 
4.8%
l 1
 
4.8%
t 1
 
4.8%
Other values (3) 3
14.3%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
54.2%
Latin 82
31.1%
Common 39
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
7.0%
이 7
 
4.9%
드 6
 
4.2%
스 5
 
3.5%
트 4
 
2.8%
서 4
 
2.8%
에 4
 
2.8%
푸 4
 
2.8%
마 4
 
2.8%
라 3
 
2.1%
Other values (68) 92
64.3%
Latin
ValueCountFrequency (%)
A 9
 
11.0%
L 6
 
7.3%
O 5
 
6.1%
R 5
 
6.1%
F 4
 
4.9%
M 4
 
4.9%
r 3
 
3.7%
o 3
 
3.7%
C 3
 
3.7%
I 3
 
3.7%
Other values (23) 37
45.1%
Common
ValueCountFrequency (%)
( 14
35.9%
) 14
35.9%
8
20.5%
. 3
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
54.2%
ASCII 121
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 14
 
11.6%
) 14
 
11.6%
A 9
 
7.4%
8
 
6.6%
L 6
 
5.0%
O 5
 
4.1%
R 5
 
4.1%
F 4
 
3.3%
M 4
 
3.3%
r 3
 
2.5%
Other values (27) 49
40.5%
Hangul
ValueCountFrequency (%)
주 10
 
7.0%
이 7
 
4.9%
드 6
 
4.2%
스 5
 
3.5%
트 4
 
2.8%
서 4
 
2.8%
에 4
 
2.8%
푸 4
 
2.8%
마 4
 
2.8%
라 3
 
2.1%
Other values (68) 92
64.3%

최종수정일자
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2006-03-10 10:50:11
Maximum2023-07-05 08:54:59
2024-05-11T07:22:42.405029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:22:42.780769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
I
17 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 17
63.0%
U 10
37.0%

Length

2024-05-11T07:22:43.188703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:43.492372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 17
63.0%
u 10
37.0%

데이터갱신일자
Date

Distinct8
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 00:07:00
2024-05-11T07:22:43.802421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:22:44.177855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

업태구분명
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
식육가공업
23 
유가공업
4 

Length

Max length5
Median length5
Mean length4.8518519
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 23
85.2%
유가공업 4
 
14.8%

Length

2024-05-11T07:22:44.642017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:44.972974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 23
85.2%
유가공업 4
 
14.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)92.3%
Missing1
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean198601.51
Minimum195313.13
Maximum200824.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T07:22:45.276831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195313.13
5-th percentile196395.31
Q1197530.6
median199098.19
Q3199732.67
95-th percentile199949.46
Maximum200824.56
Range5511.4316
Interquartile range (IQR)2202.0679

Descriptive statistics

Standard deviation1476.0141
Coefficient of variation (CV)0.0074320385
Kurtosis-0.7386235
Mean198601.51
Median Absolute Deviation (MAD)776.26723
Skewness-0.67538015
Sum5163639.4
Variance2178617.6
MonotonicityNot monotonic
2024-05-11T07:22:45.671279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
199737.097413554 2
 
7.4%
196395.306668495 2
 
7.4%
199685.980112511 1
 
3.7%
196612.878689363 1
 
3.7%
197981.972190147 1
 
3.7%
199973.844989392 1
 
3.7%
200824.55933234 1
 
3.7%
199080.030031139 1
 
3.7%
199057.098963917 1
 
3.7%
199116.346969578 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
195313.127764904 1
3.7%
196395.306668495 2
7.4%
196610.663839509 1
3.7%
196612.878689363 1
3.7%
197209.573715079 1
3.7%
197503.739239953 1
3.7%
197611.194602158 1
3.7%
197647.119620299 1
3.7%
197981.972190147 1
3.7%
198943.222786585 1
3.7%
ValueCountFrequency (%)
200824.55933234 1
3.7%
199973.844989392 1
3.7%
199876.297684239 1
3.7%
199872.613766939 1
3.7%
199737.097413554 2
7.4%
199736.479307639 1
3.7%
199721.246074411 1
3.7%
199703.79974306 1
3.7%
199685.980112511 1
3.7%
199669.051327793 1
3.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)92.3%
Missing1
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean447938.75
Minimum446586.52
Maximum449310.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T07:22:46.090231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446586.52
5-th percentile446685.44
Q1447547.02
median447912.94
Q3448587.75
95-th percentile449240.66
Maximum449310.38
Range2723.8629
Interquartile range (IQR)1040.7299

Descriptive statistics

Standard deviation817.05032
Coefficient of variation (CV)0.0018240224
Kurtosis-0.78326852
Mean447938.75
Median Absolute Deviation (MAD)674.81079
Skewness-2.5658962 × 10-5
Sum11646407
Variance667571.22
MonotonicityNot monotonic
2024-05-11T07:22:46.496809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
448587.753314794 2
 
7.4%
446828.604671481 2
 
7.4%
447709.316945809 1
 
3.7%
448969.013728194 1
 
3.7%
449310.37949764 1
 
3.7%
447235.260325313 1
 
3.7%
448002.737790969 1
 
3.7%
448618.736803313 1
 
3.7%
447903.908898296 1
 
3.7%
447921.976142345 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
446586.516612702 1
3.7%
446678.936766973 1
3.7%
446704.964395312 1
3.7%
446828.604671481 2
7.4%
447235.260325313 1
3.7%
447525.978850648 1
3.7%
447610.157246344 1
3.7%
447709.316945809 1
3.7%
447742.348636253 1
3.7%
447895.931853632 1
3.7%
ValueCountFrequency (%)
449310.37949764 1
3.7%
449268.342879773 1
3.7%
449157.609008661 1
3.7%
448969.013728194 1
3.7%
448890.736602698 1
3.7%
448618.736803313 1
3.7%
448587.753314794 2
7.4%
448002.744964208 1
3.7%
448002.737790969 1
3.7%
447975.150226488 1
3.7%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
축산물가공업
25 
<NA>
 
2

Length

Max length6
Median length6
Mean length5.8518519
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 25
92.6%
<NA> 2
 
7.4%

Length

2024-05-11T07:22:47.138611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:47.547777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 25
92.6%
na 2
 
7.4%

축산물가공업구분명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
식육가공업
21 
유가공업
4 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.7777778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 21
77.8%
유가공업 4
 
14.8%
<NA> 2
 
7.4%

Length

2024-05-11T07:22:48.033657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:48.376532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 21
77.8%
유가공업 4
 
14.8%
na 2
 
7.4%

축산일련번호
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
5 

Length

Max length4
Median length4
Mean length3.4444444
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> 22
81.5%
0 5
 
18.5%

Length

2024-05-11T07:22:48.865159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:49.331708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 5
 
18.5%

권리주체일련번호
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
L00
14 
000
11 
<NA>
2 

Length

Max length4
Median length3
Mean length3.0740741
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
L00 14
51.9%
000 11
40.7%
<NA> 2
 
7.4%

Length

2024-05-11T07:22:49.800440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:50.197472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
l00 14
51.9%
000 11
40.7%
na 2
 
7.4%

총인원
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
5 

Length

Max length4
Median length4
Mean length3.4444444
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> 22
81.5%
0 5
 
18.5%

Length

2024-05-11T07:22:50.823773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:51.132580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 5
 
18.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0302000030200000041999000119990706<NA>3폐업2폐업<NA><NA><NA><NA>713-68440.0<NA>서울특별시 용산구 신계동 114번지<NA><NA>경복식품2011-12-21 09:50:07I2018-08-31 23:59:59.0식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
130200003020000004200200012002-05-07<NA>1영업/정상0정상<NA><NA><NA><NA>797-12340.0<NA>서울특별시 용산구 한남동 747-7서울특별시 용산구 소월로 322 (한남동)4347그랜드하얏트서울2023-07-05 08:54:59U2022-12-07 00:07:00.0식육가공업199737.097414448587.753315<NA><NA><NA><NA><NA>
2302000030200000042003000120030106<NA>3폐업2폐업20060310<NA><NA><NA>798-53140.0<NA>서울특별시 용산구 주성동 17번지서울특별시 용산구 서빙고로91가길 8 (주성동)<NA>성림미트앤푸드(주)2006-03-10 10:50:11I2018-08-31 23:59:59.0식육가공업199876.297684446704.964395축산물가공업식육가공업<NA>L00<NA>
3302000030200000042003000220030516<NA>3폐업2폐업20121011<NA><NA><NA>793-44140.0<NA>서울특별시 용산구 한강로1가 158번지서울특별시 용산구 한강대로62나길 6 (한강로1가)<NA>구례축산2012-10-11 15:24:01I2018-08-31 23:59:59.0식육가공업197647.11962447975.150226축산물가공업식육가공업<NA>000<NA>
4302000030200000042004000120040703<NA>3폐업2폐업20120120<NA><NA><NA><NA>3627.0<NA>서울특별시 용산구 한남동 732-21번지서울특별시 용산구 우사단로10길 39 (한남동)<NA>KOREA MUSLIM FOOD HALAL(K.M.F.HALAL)2012-01-20 16:44:36I2018-08-31 23:59:59.0식육가공업199721.246074447901.740546축산물가공업식육가공업<NA>000<NA>
5302000030200000042004000220040721<NA>4취소/말소/만료/정지/중지3행정처분<NA><NA><NA><NA><NA>1300.0<NA>서울특별시 용산구 갈월동 14-30번지서울특별시 용산구 한강대로92길 6 (갈월동)<NA>(주)서어서식품2006-04-05 10:17:31I2018-08-31 23:59:59.0식육가공업197503.73924449268.34288축산물가공업식육가공업<NA>L00<NA>
6302000030200000042006000120060223<NA>4취소/말소/만료/정지/중지3행정처분20151222<NA><NA><NA>02-790-5314149.0<NA>서울특별시 용산구 주성동 39-1번지서울특별시 용산구 서빙고로91길 76 (주성동)<NA>성림축산물도매센타2016-07-05 09:29:57I2018-08-31 23:59:59.0식육가공업199872.613767446678.936767축산물가공업식육가공업<NA>L00<NA>
7302000030200000042007000120071009<NA>3폐업2폐업20080430<NA><NA><NA><NA>0.0<NA>서울특별시 용산구 청파동2가 78-2번지 불럭서울특별시 용산구 청파로47길 21 (청파동2가,불럭)<NA>(주)꿈을이루는 사람들2008-04-30 15:18:47I2018-08-31 23:59:59.0유가공업197209.573715449157.609009축산물가공업유가공업<NA>L00<NA>
8302000030200000042008000120081104<NA>3폐업2폐업20120119<NA><NA><NA>02-365-87120.0<NA>서울특별시 용산구 한강로3가 40-969번지 관광터미널전자상가 지하1층 B-34<NA><NA>(주)엠와이에이치2012-01-20 11:53:25I2018-08-31 23:59:59.0식육가공업196610.66384447742.348636축산물가공업식육가공업<NA>L00<NA>
9302000030200000042009000120090604<NA>3폐업2폐업20120827<NA><NA><NA>0279200580.0<NA>서울특별시 용산구 남영동 98-5번지서울특별시 용산구 한강대로76길 11-18 (남영동)<NA>가람2012-08-29 09:44:44I2018-08-31 23:59:59.0식육가공업197611.194602448890.736603축산물가공업식육가공업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
17302000030200000042014000120140808<NA>3폐업2폐업20160122<NA><NA><NA>031-732-84940.0<NA>서울특별시 용산구 보광동 238-12번지서울특별시 용산구 보광로 72 (보광동)4414(주)툴쿠아즈FNC2016-01-22 17:05:01I2018-08-31 23:59:59.0식육가공업199703.799743447525.978851축산물가공업식육가공업<NA>L00<NA>
18302000030200000042015000120150108<NA>3폐업2폐업20221026<NA><NA>20221026070-8879-19670.0<NA>서울특별시 용산구 이태원동 63-4 지하1층서울특별시 용산구 이태원로14길 19, 지하1층 (이태원동)4391BRAAI REPUBLIC2022-10-26 17:38:35U2021-10-30 22:08:00.0식육가공업199116.34697447921.976142<NA><NA><NA><NA><NA>
19302000030200000042015000220150519<NA>1영업/정상0정상<NA><NA><NA><NA>02-792-2921116.0<NA>서울특별시 용산구 이태원동 34-132 1,2층서울특별시 용산구 녹사평대로 168-31, 1,2층 (이태원동)4390라이너스 바베큐2022-01-05 10:07:56U2022-01-07 02:40:00.0식육가공업199057.098964447903.908898축산물가공업식육가공업0L000
20302000030200000042017000120100825<NA>3폐업2폐업20171201<NA><NA>20171201<NA>0.0<NA>서울특별시 용산구 한강로3가 40-880번지 지상2층서울특별시 용산구 이촌로29길 8-18, 지상2층 (한강로3가)4380(주)마마스푸드2017-12-01 11:15:36I2018-08-31 23:59:59.0유가공업196395.306668446828.604671축산물가공업유가공업<NA>L00<NA>
21302000030200000042017000220100910<NA>3폐업2폐업20171201<NA><NA>2017120102-712-12500.0<NA>서울특별시 용산구 한강로3가 40-880번지 지상1층서울특별시 용산구 이촌로29길 8-18, 지상1층 (한강로3가)4380(주)마마스푸드2017-12-01 10:56:39I2018-08-31 23:59:59.0식육가공업196395.306668446828.604671축산물가공업식육가공업<NA>L00<NA>
22302000030200000042017000320170327<NA>4취소/말소/만료/정지/중지3행정처분20191231<NA><NA><NA><NA>0.0<NA>서울특별시 용산구 이태원동 225-5번지 지하1층서울특별시 용산구 회나무로 33, 지하1층 (이태원동)4344남산델리2019-12-31 13:24:35U2020-01-02 02:40:00.0식육가공업199080.030031448618.736803축산물가공업식육가공업<NA>000<NA>
23302000030200000042018000120181128<NA>1영업/정상0정상<NA><NA><NA><NA>02-2140-9000583.0<NA>서울특별시 용산구 한남동 28-11번지 한성빌딩, 지하1층서울특별시 용산구 독서당로 86, 한성빌딩 지하1층 (한남동)4420살라미뮤지엄2019-01-10 09:26:33U2019-01-12 02:40:00.0식육가공업200824.559332448002.737791축산물가공업식육가공업<NA>L00<NA>
24302000030200000042019000120190102<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 용산구 보광동 263-3서울특별시 용산구 보광로14길 18, 1층 (보광동)4415트로이메이커(TROY MAKER)2022-01-05 10:08:51U2022-01-07 02:40:00.0식육가공업199973.844989447235.260325축산물가공업식육가공업00000
25302000030200000042019000220190509<NA>1영업/정상0정상<NA><NA><NA><NA><NA>339.1<NA>서울특별시 용산구 후암동 195-10 지하1층서울특별시 용산구 두텁바위로 53, 지하1층 (후암동)4335(주)한일관프로덕츠2022-01-05 10:09:21U2022-01-07 02:40:00.0식육가공업197981.97219449310.379498축산물가공업식육가공업0L000
26302000030200000042019000320190527<NA>1영업/정상0정상<NA><NA><NA><NA>02-3446-7010221.2<NA>서울특별시 용산구 청파동3가 132-164 지상2층서울특별시 용산구 효창원로 168, 2층 (청파동3가)4312치즈플로2022-01-05 10:09:56U2022-01-07 02:40:00.0식육가공업196612.878689448969.013728축산물가공업식육가공업00000