Overview

Dataset statistics

Number of variables30
Number of observations48
Missing cells314
Missing cells (%)21.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory257.8 B

Variable types

Categorical13
Numeric4
DateTime4
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-16654/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (85.4%)Imbalance
업태구분명 is highly imbalanced (63.2%)Imbalance
인허가취소일자 has 48 (100.0%) missing valuesMissing
폐업일자 has 30 (62.5%) missing valuesMissing
휴업시작일자 has 48 (100.0%) missing valuesMissing
휴업종료일자 has 48 (100.0%) missing valuesMissing
재개업일자 has 48 (100.0%) missing valuesMissing
전화번호 has 36 (75.0%) missing valuesMissing
소재지우편번호 has 48 (100.0%) missing valuesMissing
지번주소 has 4 (8.3%) missing valuesMissing
도로명우편번호 has 2 (4.2%) missing valuesMissing
좌표정보(X) has 1 (2.1%) missing valuesMissing
좌표정보(Y) has 1 (2.1%) missing valuesMissing
관리번호 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
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

Reproduction

Analysis started2024-05-11 00:55:37.930894
Analysis finished2024-05-11 00:55:39.181444
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
3130000
48 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 48
100.0%

Length

2024-05-11T00:55:39.448867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:39.894511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 48
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.13 × 1017
Minimum3.13 × 1017
Maximum3.13 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T00:55:40.445739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.13 × 1017
5-th percentile3.13 × 1017
Q13.13 × 1017
median3.13 × 1017
Q33.13 × 1017
95-th percentile3.13 × 1017
Maximum3.13 × 1017
Range120004
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation29508.658
Coefficient of variation (CV)9.4276861 × 10-14
Kurtosis0.32132322
Mean3.13 × 1017
Median Absolute Deviation (MAD)19968
Skewness-0.85583968
Sum-3.4227439 × 1018
Variance8.7076088 × 108
MonotonicityStrictly increasing
2024-05-11T00:55:41.074607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
313000003420110001 1
 
2.1%
313000003420200006 1
 
2.1%
313000003420200008 1
 
2.1%
313000003420210001 1
 
2.1%
313000003420210002 1
 
2.1%
313000003420210003 1
 
2.1%
313000003420210004 1
 
2.1%
313000003420210005 1
 
2.1%
313000003420210006 1
 
2.1%
313000003420210007 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
313000003420110001 1
2.1%
313000003420120001 1
2.1%
313000003420130001 1
2.1%
313000003420150001 1
2.1%
313000003420150002 1
2.1%
313000003420150003 1
2.1%
313000003420160001 1
2.1%
313000003420160002 1
2.1%
313000003420170001 1
2.1%
313000003420170002 1
2.1%
ValueCountFrequency (%)
313000003420230005 1
2.1%
313000003420230004 1
2.1%
313000003420230003 1
2.1%
313000003420230002 1
2.1%
313000003420230001 1
2.1%
313000003420220004 1
2.1%
313000003420220003 1
2.1%
313000003420220002 1
2.1%
313000003420220001 1
2.1%
313000003420210011 1
2.1%

인허가일자
Date

Distinct44
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2011-11-18 00:00:00
Maximum2023-08-31 00:00:00
2024-05-11T00:55:41.823731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:55:42.353612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
30 
3
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
62.5%
3 18
37.5%

Length

2024-05-11T00:55:42.901758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:43.376492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
62.5%
3 18
37.5%

영업상태명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
영업/정상
30 
폐업
18 

Length

Max length5
Median length5
Mean length3.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 30
62.5%
폐업 18
37.5%

Length

2024-05-11T00:55:43.781130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:44.058120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
62.5%
폐업 18
37.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
30 
2
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
62.5%
2 18
37.5%

Length

2024-05-11T00:55:44.458416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:44.850461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
62.5%
2 18
37.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
정상
30 
폐업
18 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 30
62.5%
폐업 18
37.5%

Length

2024-05-11T00:55:45.374724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:45.751621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 30
62.5%
폐업 18
37.5%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)83.3%
Missing30
Missing (%)62.5%
Memory size516.0 B
Minimum2018-04-26 00:00:00
Maximum2023-11-07 00:00:00
2024-05-11T00:55:46.045413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:55:46.473293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

전화번호
Text

MISSING 

Distinct10
Distinct (%)83.3%
Missing36
Missing (%)75.0%
Memory size516.0 B
2024-05-11T00:55:46.931520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.916667
Min length11

Characters and Unicode

Total characters143
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

Unique9 ?
Unique (%)75.0%

Sample

1st row02 359 3863
2nd row070-7717-0731
3rd row070-8271-2717
4th row07042006819
5th row07077171213
ValueCountFrequency (%)
02-3144-0509 3
21.4%
02 1
 
7.1%
359 1
 
7.1%
3863 1
 
7.1%
070-7717-0731 1
 
7.1%
070-8271-2717 1
 
7.1%
07042006819 1
 
7.1%
07077171213 1
 
7.1%
02-707-1098 1
 
7.1%
070-7722-5863 1
 
7.1%
Other values (2) 2
14.3%
2024-05-11T00:55:48.100711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
21.7%
7 21
14.7%
- 18
12.6%
2 13
9.1%
1 12
 
8.4%
3 10
 
7.0%
4 10
 
7.0%
5 9
 
6.3%
9 7
 
4.9%
8 7
 
4.9%
Other values (2) 5
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
86.0%
Dash Punctuation 18
 
12.6%
Space Separator 2
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
25.2%
7 21
17.1%
2 13
10.6%
1 12
 
9.8%
3 10
 
8.1%
4 10
 
8.1%
5 9
 
7.3%
9 7
 
5.7%
8 7
 
5.7%
6 3
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
21.7%
7 21
14.7%
- 18
12.6%
2 13
9.1%
1 12
 
8.4%
3 10
 
7.0%
4 10
 
7.0%
5 9
 
6.3%
9 7
 
4.9%
8 7
 
4.9%
Other values (2) 5
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
21.7%
7 21
14.7%
- 18
12.6%
2 13
9.1%
1 12
 
8.4%
3 10
 
7.0%
4 10
 
7.0%
5 9
 
6.3%
9 7
 
4.9%
8 7
 
4.9%
Other values (2) 5
 
3.5%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
47 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0625
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47
97.9%
<NA> 1
 
2.1%

Length

2024-05-11T00:55:48.807527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:49.296304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
97.9%
na 1
 
2.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

지번주소
Text

MISSING 

Distinct39
Distinct (%)88.6%
Missing4
Missing (%)8.3%
Memory size516.0 B
2024-05-11T00:55:50.023362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27.5
Mean length22.613636
Min length18

Characters and Unicode

Total characters995
Distinct characters92
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)79.5%

Sample

1st row서울특별시 마포구 상암동 1640 마포비지니스센터 511호
2nd row서울특별시 마포구 망원동 408-0019번지
3rd row서울특별시 마포구 합정동 445-9
4th row서울특별시 마포구 염리동 30-1
5th row서울특별시 마포구 상암동 1640번지
ValueCountFrequency (%)
서울특별시 44
22.8%
마포구 44
22.8%
연남동 8
 
4.1%
합정동 6
 
3.1%
망원동 6
 
3.1%
서교동 5
 
2.6%
상암동 4
 
2.1%
335-4번지 3
 
1.6%
성산동 3
 
1.6%
도화동 3
 
1.6%
Other values (61) 67
34.7%
2024-05-11T00:55:51.661087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
17.3%
서 49
 
4.9%
마 47
 
4.7%
포 46
 
4.6%
시 45
 
4.5%
구 45
 
4.5%
동 45
 
4.5%
특 44
 
4.4%
별 44
 
4.4%
울 44
 
4.4%
Other values (82) 414
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 595
59.8%
Decimal Number 189
 
19.0%
Space Separator 172
 
17.3%
Dash Punctuation 33
 
3.3%
Uppercase Letter 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 49
 
8.2%
마 47
 
7.9%
포 46
 
7.7%
시 45
 
7.6%
구 45
 
7.6%
동 45
 
7.6%
특 44
 
7.4%
별 44
 
7.4%
울 44
 
7.4%
지 16
 
2.7%
Other values (65) 170
28.6%
Decimal Number
ValueCountFrequency (%)
1 40
21.2%
3 27
14.3%
6 24
12.7%
4 24
12.7%
5 18
9.5%
0 16
 
8.5%
8 11
 
5.8%
2 11
 
5.8%
7 10
 
5.3%
9 8
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
O 2
33.3%
D 1
16.7%
T 1
16.7%
R 1
16.7%
Y 1
16.7%
Space Separator
ValueCountFrequency (%)
172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 594
59.7%
Common 394
39.6%
Latin 6
 
0.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 49
 
8.2%
마 47
 
7.9%
포 46
 
7.7%
시 45
 
7.6%
구 45
 
7.6%
동 45
 
7.6%
특 44
 
7.4%
별 44
 
7.4%
울 44
 
7.4%
지 16
 
2.7%
Other values (64) 169
28.5%
Common
ValueCountFrequency (%)
172
43.7%
1 40
 
10.2%
- 33
 
8.4%
3 27
 
6.9%
6 24
 
6.1%
4 24
 
6.1%
5 18
 
4.6%
0 16
 
4.1%
8 11
 
2.8%
2 11
 
2.8%
Other values (2) 18
 
4.6%
Latin
ValueCountFrequency (%)
O 2
33.3%
D 1
16.7%
T 1
16.7%
R 1
16.7%
Y 1
16.7%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 594
59.7%
ASCII 400
40.2%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
43.0%
1 40
 
10.0%
- 33
 
8.2%
3 27
 
6.8%
6 24
 
6.0%
4 24
 
6.0%
5 18
 
4.5%
0 16
 
4.0%
8 11
 
2.8%
2 11
 
2.8%
Other values (7) 24
 
6.0%
Hangul
ValueCountFrequency (%)
서 49
 
8.2%
마 47
 
7.9%
포 46
 
7.7%
시 45
 
7.6%
구 45
 
7.6%
동 45
 
7.6%
특 44
 
7.4%
별 44
 
7.4%
울 44
 
7.4%
지 16
 
2.7%
Other values (64) 169
28.5%
CJK
ValueCountFrequency (%)
美 1
100.0%

도로명주소
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-11T00:55:52.536337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length33.4375
Min length23

Characters and Unicode

Total characters1605
Distinct characters137
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)93.8%

Sample

1st row서울특별시 마포구 매봉산로 18 (상암동)
2nd row서울특별시 마포구 망원로4길 26 (망원동)
3rd row서울특별시 마포구 희우정로 35 (합정동)
4th row서울특별시 마포구 숭문12길 11 (염리동)
5th row서울특별시 마포구 매봉산로 18, 411호호 (상암동, 마포비즈프라자)
ValueCountFrequency (%)
서울특별시 48
 
15.1%
마포구 48
 
15.1%
1층 12
 
3.8%
연남동 8
 
2.5%
망원동 7
 
2.2%
합정동 7
 
2.2%
2층 6
 
1.9%
상암동 5
 
1.6%
서교동 5
 
1.6%
와우산로29길 4
 
1.3%
Other values (131) 168
52.8%
2024-05-11T00:55:54.082946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
 
16.8%
1 67
 
4.2%
포 57
 
3.6%
, 56
 
3.5%
서 55
 
3.4%
마 55
 
3.4%
동 53
 
3.3%
울 49
 
3.1%
시 49
 
3.1%
구 49
 
3.1%
Other values (127) 845
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 915
57.0%
Space Separator 270
 
16.8%
Decimal Number 244
 
15.2%
Other Punctuation 56
 
3.5%
Open Punctuation 48
 
3.0%
Close Punctuation 48
 
3.0%
Uppercase Letter 17
 
1.1%
Dash Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 57
 
6.2%
서 55
 
6.0%
마 55
 
6.0%
동 53
 
5.8%
울 49
 
5.4%
시 49
 
5.4%
구 49
 
5.4%
별 48
 
5.2%
특 48
 
5.2%
로 47
 
5.1%
Other values (104) 405
44.3%
Decimal Number
ValueCountFrequency (%)
1 67
27.5%
2 44
18.0%
0 25
 
10.2%
4 19
 
7.8%
3 19
 
7.8%
7 18
 
7.4%
9 16
 
6.6%
6 13
 
5.3%
8 12
 
4.9%
5 11
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
41.2%
D 2
 
11.8%
C 2
 
11.8%
O 2
 
11.8%
R 1
 
5.9%
T 1
 
5.9%
Y 1
 
5.9%
K 1
 
5.9%
Space Separator
ValueCountFrequency (%)
270
100.0%
Other Punctuation
ValueCountFrequency (%)
, 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 914
56.9%
Common 673
41.9%
Latin 17
 
1.1%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 57
 
6.2%
서 55
 
6.0%
마 55
 
6.0%
동 53
 
5.8%
울 49
 
5.4%
시 49
 
5.4%
구 49
 
5.4%
별 48
 
5.3%
특 48
 
5.3%
로 47
 
5.1%
Other values (103) 404
44.2%
Common
ValueCountFrequency (%)
270
40.1%
1 67
 
10.0%
, 56
 
8.3%
( 48
 
7.1%
) 48
 
7.1%
2 44
 
6.5%
0 25
 
3.7%
4 19
 
2.8%
3 19
 
2.8%
7 18
 
2.7%
Other values (5) 59
 
8.8%
Latin
ValueCountFrequency (%)
B 7
41.2%
D 2
 
11.8%
C 2
 
11.8%
O 2
 
11.8%
R 1
 
5.9%
T 1
 
5.9%
Y 1
 
5.9%
K 1
 
5.9%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 914
56.9%
ASCII 690
43.0%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
39.1%
1 67
 
9.7%
, 56
 
8.1%
( 48
 
7.0%
) 48
 
7.0%
2 44
 
6.4%
0 25
 
3.6%
4 19
 
2.8%
3 19
 
2.8%
7 18
 
2.6%
Other values (13) 76
 
11.0%
Hangul
ValueCountFrequency (%)
포 57
 
6.2%
서 55
 
6.0%
마 55
 
6.0%
동 53
 
5.8%
울 49
 
5.4%
시 49
 
5.4%
구 49
 
5.4%
별 48
 
5.3%
특 48
 
5.3%
로 47
 
5.1%
Other values (103) 404
44.2%
CJK
ValueCountFrequency (%)
美 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)82.6%
Missing2
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean4027.6957
Minimum3905
Maximum4202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T00:55:54.807785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3905
5-th percentile3911
Q13975.75
median4018
Q34069.5
95-th percentile4157
Maximum4202
Range297
Interquartile range (IQR)93.75

Descriptive statistics

Standard deviation74.145464
Coefficient of variation (CV)0.018408904
Kurtosis-0.32894935
Mean4027.6957
Median Absolute Deviation (MAD)45.5
Skewness0.47861814
Sum185274
Variance5497.5498
MonotonicityNot monotonic
2024-05-11T00:55:55.440782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
4053 3
 
6.2%
3911 3
 
6.2%
3975 2
 
4.2%
4157 2
 
4.2%
4020 2
 
4.2%
4136 2
 
4.2%
4070 1
 
2.1%
3989 1
 
2.1%
4094 1
 
2.1%
4179 1
 
2.1%
Other values (28) 28
58.3%
(Missing) 2
 
4.2%
ValueCountFrequency (%)
3905 1
 
2.1%
3911 3
6.2%
3941 1
 
2.1%
3951 1
 
2.1%
3963 1
 
2.1%
3964 1
 
2.1%
3971 1
 
2.1%
3974 1
 
2.1%
3975 2
4.2%
3978 1
 
2.1%
ValueCountFrequency (%)
4202 1
2.1%
4179 1
2.1%
4157 2
4.2%
4136 2
4.2%
4125 1
2.1%
4110 1
2.1%
4094 1
2.1%
4083 1
2.1%
4073 1
2.1%
4070 1
2.1%

사업장명
Text

Distinct43
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-11T00:55:56.245079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length10
Mean length6.4583333
Min length2

Characters and Unicode

Total characters310
Distinct characters142
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

Unique38 ?
Unique (%)79.2%

Sample

1st row(주)허브앤클러스터
2nd rowFEED:me
3rd row요리독
4th row포더펫
5th row구펍(GUPUP)
ValueCountFrequency (%)
러비터미(lovey 2
 
3.2%
멍포차 2
 
3.2%
멍이방앗간 2
 
3.2%
주)피랩파트너스 2
 
3.2%
바우에프엔비 2
 
3.2%
tummy 2
 
3.2%
행복식탁 1
 
1.6%
조이야 1
 
1.6%
댕과댕빵 1
 
1.6%
table 1
 
1.6%
Other values (46) 46
74.2%
2024-05-11T00:55:57.698545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
4.5%
( 12
 
3.9%
) 12
 
3.9%
이 8
 
2.6%
미 7
 
2.3%
스 7
 
2.3%
비 6
 
1.9%
주 6
 
1.9%
U 6
 
1.9%
리 6
 
1.9%
Other values (132) 226
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
65.8%
Uppercase Letter 36
 
11.6%
Lowercase Letter 30
 
9.7%
Space Separator 14
 
4.5%
Open Punctuation 12
 
3.9%
Close Punctuation 12
 
3.9%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
3.9%
미 7
 
3.4%
스 7
 
3.4%
비 6
 
2.9%
주 6
 
2.9%
리 6
 
2.9%
피 5
 
2.5%
펫 4
 
2.0%
트 4
 
2.0%
멍 4
 
2.0%
Other values (99) 147
72.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
16.7%
a 4
13.3%
p 3
10.0%
o 2
 
6.7%
h 2
 
6.7%
n 2
 
6.7%
t 2
 
6.7%
s 2
 
6.7%
i 2
 
6.7%
b 1
 
3.3%
Other values (5) 5
16.7%
Uppercase Letter
ValueCountFrequency (%)
U 6
16.7%
M 5
13.9%
Y 4
11.1%
E 4
11.1%
P 4
11.1%
T 2
 
5.6%
V 2
 
5.6%
O 2
 
5.6%
G 2
 
5.6%
L 2
 
5.6%
Other values (3) 3
8.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204
65.8%
Latin 66
 
21.3%
Common 40
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
3.9%
미 7
 
3.4%
스 7
 
3.4%
비 6
 
2.9%
주 6
 
2.9%
리 6
 
2.9%
피 5
 
2.5%
펫 4
 
2.0%
트 4
 
2.0%
멍 4
 
2.0%
Other values (99) 147
72.1%
Latin
ValueCountFrequency (%)
U 6
 
9.1%
M 5
 
7.6%
e 5
 
7.6%
a 4
 
6.1%
Y 4
 
6.1%
E 4
 
6.1%
P 4
 
6.1%
p 3
 
4.5%
o 2
 
3.0%
h 2
 
3.0%
Other values (18) 27
40.9%
Common
ValueCountFrequency (%)
14
35.0%
( 12
30.0%
) 12
30.0%
, 1
 
2.5%
: 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
65.8%
ASCII 106
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
 
13.2%
( 12
 
11.3%
) 12
 
11.3%
U 6
 
5.7%
M 5
 
4.7%
e 5
 
4.7%
a 4
 
3.8%
Y 4
 
3.8%
E 4
 
3.8%
P 4
 
3.8%
Other values (23) 36
34.0%
Hangul
ValueCountFrequency (%)
이 8
 
3.9%
미 7
 
3.4%
스 7
 
3.4%
비 6
 
2.9%
주 6
 
2.9%
리 6
 
2.9%
피 5
 
2.5%
펫 4
 
2.0%
트 4
 
2.0%
멍 4
 
2.0%
Other values (99) 147
72.1%

최종수정일자
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2015-04-30 16:06:55
Maximum2024-04-17 10:58:53
2024-05-11T00:55:58.267916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:55:58.893911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
U
28 
I
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 28
58.3%
I 20
41.7%

Length

2024-05-11T00:55:59.399213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:59.703785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 28
58.3%
i 20
41.7%

데이터갱신일자
Date

Distinct36
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:00:00
2024-05-11T00:56:00.055322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:56:00.554982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
단미
43 
보조
 
3
배합
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단미
2nd row단미
3rd row단미
4th row단미
5th row보조

Common Values

ValueCountFrequency (%)
단미 43
89.6%
보조 3
 
6.2%
배합 2
 
4.2%

Length

2024-05-11T00:56:01.025183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:01.342403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 43
89.6%
보조 3
 
6.2%
배합 2
 
4.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)85.1%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean192676.24
Minimum189392.98
Maximum196200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T00:56:01.886126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189392.98
5-th percentile190204.92
Q1191634.42
median192638.22
Q3193590.17
95-th percentile195272.41
Maximum196200
Range6807.024
Interquartile range (IQR)1955.7527

Descriptive statistics

Standard deviation1555.2913
Coefficient of variation (CV)0.0080720451
Kurtosis-0.29865773
Mean192676.24
Median Absolute Deviation (MAD)951.95201
Skewness0.21895676
Sum9055783.2
Variance2418931
MonotonicityNot monotonic
2024-05-11T00:56:02.774231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
190204.923593825 4
 
8.3%
193590.17092242 3
 
6.2%
192685.293266464 2
 
4.2%
195277.885388974 2
 
4.2%
194094.416580421 1
 
2.1%
195251.653529577 1
 
2.1%
192864.531386362 1
 
2.1%
192638.218911978 1
 
2.1%
191903.761700982 1
 
2.1%
191534.325656854 1
 
2.1%
Other values (30) 30
62.5%
ValueCountFrequency (%)
189392.975995366 1
 
2.1%
190204.923593825 4
8.3%
191270.965549177 1
 
2.1%
191408.310268885 1
 
2.1%
191435.876990887 1
 
2.1%
191534.325656854 1
 
2.1%
191546.230921422 1
 
2.1%
191560.13456955 1
 
2.1%
191617.307101763 1
 
2.1%
191651.529315787 1
 
2.1%
ValueCountFrequency (%)
196200.0 1
 
2.1%
195277.885388974 2
4.2%
195259.619448145 1
 
2.1%
195251.653529577 1
 
2.1%
194875.001100949 1
 
2.1%
194867.2941813 1
 
2.1%
194536.544864668 1
 
2.1%
194094.416580421 1
 
2.1%
193879.761903633 1
 
2.1%
193590.17092242 3
6.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)85.1%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean450542.54
Minimum448236.66
Maximum453114.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T00:56:03.420673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448236.66
5-th percentile449027.6
Q1449807.93
median450318.07
Q3451249.84
95-th percentile452434.68
Maximum453114.73
Range4878.0769
Interquartile range (IQR)1441.9131

Descriptive statistics

Standard deviation1076.3857
Coefficient of variation (CV)0.0023890879
Kurtosis-0.24840577
Mean450542.54
Median Absolute Deviation (MAD)690.60681
Skewness0.42001707
Sum21175499
Variance1158606.2
MonotonicityNot monotonic
2024-05-11T00:56:04.069098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
452434.679034834 4
 
8.3%
450318.074336236 3
 
6.2%
451595.210508699 2
 
4.2%
448919.647035291 2
 
4.2%
450071.46027034 1
 
2.1%
448236.655548283 1
 
2.1%
451543.124517761 1
 
2.1%
451316.018878936 1
 
2.1%
450682.143189704 1
 
2.1%
450552.469846201 1
 
2.1%
Other values (30) 30
62.5%
ValueCountFrequency (%)
448236.655548283 1
2.1%
448919.647035291 2
4.2%
449279.48199346 1
2.1%
449409.349931267 1
2.1%
449535.786156066 1
2.1%
449538.393913391 1
2.1%
449562.412574449 1
2.1%
449593.469208551 1
2.1%
449627.467527282 1
2.1%
449649.25825734 1
2.1%
ValueCountFrequency (%)
453114.7324935 1
 
2.1%
452434.679034834 4
8.3%
451990.707795053 1
 
2.1%
451890.049446422 1
 
2.1%
451595.210508699 2
4.2%
451543.124517761 1
 
2.1%
451413.836601771 1
 
2.1%
451316.018878936 1
 
2.1%
451183.670979255 1
 
2.1%
451116.059301992 1
 
2.1%

축산업무구분명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
사료제조업
27 
<NA>
21 

Length

Max length5
Median length5
Mean length4.5625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 27
56.2%
<NA> 21
43.8%

Length

2024-05-11T00:56:04.597182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:05.062509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 27
56.2%
na 21
43.8%

축산물가공업구분명
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
단미
22 
<NA>
21 
보조
3 
배합
 
2

Length

Max length4
Median length2
Mean length2.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단미 22
45.8%
<NA> 21
43.8%
보조 3
 
6.2%
배합 2
 
4.2%

Length

2024-05-11T00:56:05.695456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:06.087346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 22
45.8%
na 21
43.8%
보조 3
 
6.2%
배합 2
 
4.2%

축산일련번호
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
42 
0
6 

Length

Max length4
Median length4
Mean length3.625
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> 42
87.5%
0 6
 
12.5%

Length

2024-05-11T00:56:06.459090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:06.770209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
87.5%
0 6
 
12.5%

권리주체일련번호
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
000
24 
<NA>
21 
L00
3 

Length

Max length4
Median length3
Mean length3.4375
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 24
50.0%
<NA> 21
43.8%
L00 3
 
6.2%

Length

2024-05-11T00:56:07.121621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:07.540461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 24
50.0%
na 21
43.8%
l00 3
 
6.2%

총인원
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
42 
0
6 

Length

Max length4
Median length4
Mean length3.625
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> 42
87.5%
0 6
 
12.5%

Length

2024-05-11T00:56:07.960814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:08.360172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
87.5%
0 6
 
12.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0313000031300000342011000120111118<NA>3폐업2폐업20220622<NA><NA><NA><NA>0<NA>서울특별시 마포구 상암동 1640 마포비지니스센터 511호서울특별시 마포구 매봉산로 18 (상암동)<NA>(주)허브앤클러스터2022-06-22 17:29:08U2021-12-05 22:04:00.0단미190204.923594452434.679035<NA><NA><NA><NA><NA>
1313000031300000342012000120120302<NA>3폐업2폐업20191125<NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 408-0019번지서울특별시 마포구 망원로4길 26 (망원동)<NA>FEED:me2019-12-11 10:37:31U2019-12-13 02:40:00.0단미191270.965549450355.986434사료제조업단미<NA>000<NA>
2313000031300000342013000120131104<NA>3폐업2폐업20220711<NA><NA><NA><NA>0<NA>서울특별시 마포구 합정동 445-9서울특별시 마포구 희우정로 35 (합정동)4019요리독2022-07-11 14:40:56U2021-12-06 23:03:00.0단미191711.609591449774.332029<NA><NA><NA><NA><NA>
3313000031300000342015000120150327<NA>3폐업2폐업20220628<NA><NA><NA><NA>0<NA>서울특별시 마포구 염리동 30-1서울특별시 마포구 숭문12길 11 (염리동)4125포더펫2022-06-28 16:22:46U2021-12-05 21:00:00.0단미195259.619448450003.732309<NA><NA><NA><NA><NA>
4313000031300000342015000220150430<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 상암동 1640번지서울특별시 마포구 매봉산로 18, 411호호 (상암동, 마포비즈프라자)3911구펍(GUPUP)2015-04-30 16:06:55I2018-08-31 23:59:59.0보조190204.923594452434.679035사료제조업보조<NA>000<NA>
5313000031300000342015000320150430<NA>1영업/정상0정상<NA><NA><NA><NA>02 359 38630<NA>서울특별시 마포구 상암동 1640번지서울특별시 마포구 매봉산로 18, 411호 (상암동, 마포비즈프라자411호)3911(주)구펍(GUPUP)2015-09-03 14:15:28I2018-08-31 23:59:59.0보조190204.923594452434.679035사료제조업보조<NA>L00<NA>
6313000031300000342016000120160111<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 상암동 1680번지서울특별시 마포구 월드컵로42길 40, 1층 116호 (상암동, 상암근린상가)3905도기부기2016-01-11 14:34:12I2018-08-31 23:59:59.0단미189392.975995453114.732493사료제조업단미<NA>000<NA>
7313000031300000342016000220160624<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA><NA>서울특별시 마포구 월드컵로25길 26, 1층 1-43-1호 (망원동, 마포영화블렌하임)3964개들의 만찬2016-06-24 09:41:54I2018-08-31 23:59:59.0단미191651.529316450694.803472사료제조업단미<NA>000<NA>
8313000031300000342017000120170214<NA>1영업/정상0정상<NA><NA><NA><NA>070-7717-07310<NA>서울특별시 마포구 합정동 437-5서울특별시 마포구 포은로2가길 6, 2층 (합정동)4021오 마이 리틀베이비2022-06-23 10:53:11U2021-12-05 22:05:00.0단미191780.472414449903.88638<NA><NA><NA><NA><NA>
931300003130000034201700022017-03-03<NA>3폐업2폐업2023-04-06<NA><NA><NA>070-8271-27170<NA>서울특별시 마포구 연남동 487-366서울특별시 마포구 성미산로 98, 5층 (연남동)3986하이펫스쿨2023-04-19 11:45:24U2022-12-03 22:01:00.0단미192714.035011451006.406566<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
38313000031300000342021001120211110<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 합정동 355-7서울특별시 마포구 독막로8길 15-9, 1층 (합정동)4073뚤레뚤레2021-11-10 09:48:02I2021-11-13 00:22:57.0단미192713.123047449409.349931사료제조업단미00000
3931300003130000034202200012022-02-15<NA>3폐업2폐업2023-10-17<NA><NA><NA><NA>0<NA>서울특별시 마포구 중동 64-25 현대상가서울특별시 마포구 월드컵북로 230, 현대상가 1층 35호 (중동)3941아루실업2023-10-26 10:57:36U2022-10-30 22:08:00.0단미191435.876991451990.707795<NA><NA><NA><NA><NA>
40313000031300000342022000220220428<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 상수동 93-6 홍현빌딩서울특별시 마포구 독막로19길 7, 홍현빌딩 3층 (상수동)4068핑크닉2022-04-28 18:03:06I2021-12-03 21:00:00.0단미193327.534919449538.393913<NA><NA><NA><NA><NA>
41313000031300000342022000320220706<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 창전동 118 DO美TORY서울특별시 마포구 서강로 63, DO美TORY 702호 (창전동)4065치팅댕이2022-07-06 17:45:19I2021-12-07 00:08:00.0단미193879.761904449627.467527<NA><NA><NA><NA><NA>
4231300003130000034202200042022-12-02<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 합정동 441-1서울특별시 마포구 동교로 24, 1층 102호 (합정동)4020댐잇2023-02-13 13:30:51U2022-12-01 23:05:00.0단미191560.13457449977.034116<NA><NA><NA><NA><NA>
4331300003130000034202300012023-03-24<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 합정동 369-18 시너지빌딩서울특별시 마포구 토정로 27-1, 시너지빌딩 지하1층 102호 (합정동)4083엠엠2023-03-24 08:24:56I2022-12-02 22:06:00.0단미192332.942322449279.481993<NA><NA><NA><NA><NA>
4431300003130000034202300022023-03-24<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 망원동 477-1서울특별시 마포구 방울내로 90, 1층 좌측호 (망원동)3963핸피니스2023-03-24 08:31:45I2022-12-02 22:06:00.0단미191546.230921450961.399357<NA><NA><NA><NA><NA>
4531300003130000034202300032023-05-23<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 대흥동 168-1서울특별시 마포구 백범로 99-8, 지층 (대흥동)4136조이야2023-05-23 17:08:01I2022-12-04 22:05:00.0단미194867.294181449535.786156<NA><NA><NA><NA><NA>
4631300003130000034202300042023-07-14<NA>1영업/정상0정상<NA><NA><NA><NA>02-795-58340<NA>서울특별시 마포구 도화동 82 도화3지구우성아파트서울특별시 마포구 삼개로 38, B상가층 203호 (도화동, 도화3지구우성아파트)4179페따미꼬2024-04-17 10:58:53U2023-12-03 22:00:00.0단미195251.65353448236.655548<NA><NA><NA><NA><NA>
4731300003130000034202300052023-08-31<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 노고산동 120-12서울특별시 마포구 서강로 114, 2층 (노고산동)4094개밥짓는남자2023-08-31 14:19:29I2022-12-09 00:02:00.0단미194094.41658450071.46027<NA><NA><NA><NA><NA>