Overview

Dataset statistics

Number of variables30
Number of observations27
Missing cells165
Missing cells (%)20.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory258.9 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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16647/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
소재지면적 has constant value ""Constant
업태구분명 is highly imbalanced (61.9%)Imbalance
인허가취소일자 has 27 (100.0%) missing valuesMissing
폐업일자 has 9 (33.3%) missing valuesMissing
휴업시작일자 has 26 (96.3%) missing valuesMissing
휴업종료일자 has 26 (96.3%) missing valuesMissing
재개업일자 has 27 (100.0%) missing valuesMissing
전화번호 has 21 (77.8%) missing valuesMissing
소재지우편번호 has 27 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.7%) missing valuesMissing
좌표정보(Y) has 1 (3.7%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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 06:28:19.722371
Analysis finished2024-05-11 06:28:20.341512
Duration0.62 seconds
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
3060000
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 27
100.0%

Length

2024-05-11T15:28:20.518490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:20.693892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 27
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.06 × 1017
Minimum3.06 × 1017
Maximum3.06 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T15:28:20.915095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.06 × 1017
5-th percentile3.06 × 1017
Q13.06 × 1017
median3.06 × 1017
Q33.06 × 1017
95-th percentile3.06 × 1017
Maximum3.06 × 1017
Range120001
Interquartile range (IQR)24960

Descriptive statistics

Standard deviation27641.942
Coefficient of variation (CV)9.0333144 × 10-14
Kurtosis2.0765631
Mean3.06 × 1017
Median Absolute Deviation (MAD)9984
Skewness-1.3807222
Sum8.2620001 × 1018
Variance7.6407698 × 108
MonotonicityStrictly increasing
2024-05-11T15:28:21.135362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
306000003420110001 1
 
3.7%
306000003420160001 1
 
3.7%
306000003420230002 1
 
3.7%
306000003420230001 1
 
3.7%
306000003420220003 1
 
3.7%
306000003420220002 1
 
3.7%
306000003420220001 1
 
3.7%
306000003420210008 1
 
3.7%
306000003420210007 1
 
3.7%
306000003420210006 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
306000003420110001 1
3.7%
306000003420160001 1
3.7%
306000003420160002 1
3.7%
306000003420160003 1
3.7%
306000003420160004 1
3.7%
306000003420160005 1
3.7%
306000003420180001 1
3.7%
306000003420190001 1
3.7%
306000003420200001 1
3.7%
306000003420200002 1
3.7%
ValueCountFrequency (%)
306000003420230002 1
3.7%
306000003420230001 1
3.7%
306000003420220003 1
3.7%
306000003420220002 1
3.7%
306000003420220001 1
3.7%
306000003420210008 1
3.7%
306000003420210007 1
3.7%
306000003420210006 1
3.7%
306000003420210005 1
3.7%
306000003420210004 1
3.7%

인허가일자
Date

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2011-06-27 00:00:00
Maximum2023-12-15 00:00:00
2024-05-11T15:28:21.368158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:21.598242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

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
18 
1
8 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
3 18
66.7%
1 8
29.6%
2 1
 
3.7%

Length

2024-05-11T15:28:21.837027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:22.011068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 18
66.7%
1 8
29.6%
2 1
 
3.7%

영업상태명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
폐업
18 
영업/정상
8 
휴업
 
1

Length

Max length5
Median length2
Mean length2.8888889
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 18
66.7%
영업/정상 8
29.6%
휴업 1
 
3.7%

Length

2024-05-11T15:28:22.192288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:22.364682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 18
66.7%
영업/정상 8
29.6%
휴업 1
 
3.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
2
18 
0
8 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
2 18
66.7%
0 8
29.6%
1 1
 
3.7%

Length

2024-05-11T15:28:22.533880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:22.687582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 18
66.7%
0 8
29.6%
1 1
 
3.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
폐업
18 
정상
8 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 18
66.7%
정상 8
29.6%
휴업 1
 
3.7%

Length

2024-05-11T15:28:22.843136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:23.035026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 18
66.7%
정상 8
29.6%
휴업 1
 
3.7%

폐업일자
Date

MISSING 

Distinct16
Distinct (%)88.9%
Missing9
Missing (%)33.3%
Memory size348.0 B
Minimum2016-06-27 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T15:28:23.223868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:23.383701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing26
Missing (%)96.3%
Memory size348.0 B
Minimum2023-08-19 00:00:00
Maximum2023-08-19 00:00:00
2024-05-11T15:28:23.550849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:23.667790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing26
Missing (%)96.3%
Memory size348.0 B
Minimum2024-02-20 00:00:00
Maximum2024-02-20 00:00:00
2024-05-11T15:28:23.783453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:23.914849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing21
Missing (%)77.8%
Memory size348.0 B
2024-05-11T15:28:24.128464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length9.8333333
Min length1

Characters and Unicode

Total characters59
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row02-545-0226
2nd row02-6465-3270
3rd row-
4th row02-487-3424
5th row02-2209-7942
ValueCountFrequency (%)
02-545-0226 1
16.7%
02-6465-3270 1
16.7%
1
16.7%
02-487-3424 1
16.7%
02-2209-7942 1
16.7%
02-6083-0701 1
16.7%
2024-05-11T15:28:24.557767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 12
20.3%
0 11
18.6%
- 11
18.6%
4 6
10.2%
6 4
 
6.8%
7 4
 
6.8%
5 3
 
5.1%
3 3
 
5.1%
8 2
 
3.4%
9 2
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
81.4%
Dash Punctuation 11
 
18.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 12
25.0%
0 11
22.9%
4 6
12.5%
6 4
 
8.3%
7 4
 
8.3%
5 3
 
6.2%
3 3
 
6.2%
8 2
 
4.2%
9 2
 
4.2%
1 1
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 12
20.3%
0 11
18.6%
- 11
18.6%
4 6
10.2%
6 4
 
6.8%
7 4
 
6.8%
5 3
 
5.1%
3 3
 
5.1%
8 2
 
3.4%
9 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 12
20.3%
0 11
18.6%
- 11
18.6%
4 6
10.2%
6 4
 
6.8%
7 4
 
6.8%
5 3
 
5.1%
3 3
 
5.1%
8 2
 
3.4%
9 2
 
3.4%

소재지면적
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
100.0%

Length

2024-05-11T15:28:24.762373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:24.904644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
100.0%

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
2024-05-11T15:28:25.184324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length24.37037
Min length18

Characters and Unicode

Total characters658
Distinct characters90
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

Unique27 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 묵동 247-120번지 1층
2nd row서울특별시 중랑구 면목동 353-17번지
3rd row서울특별시 중랑구 묵동 110-8번지 골드캐슬 1층
4th row서울특별시 중랑구 묵동 110-8 1층
5th row서울특별시 중랑구 면목동 19-57번지
ValueCountFrequency (%)
서울특별시 27
20.8%
중랑구 27
20.8%
면목동 10
 
7.7%
묵동 7
 
5.4%
1층 4
 
3.1%
상봉동 4
 
3.1%
망우동 2
 
1.5%
중화동 2
 
1.5%
신내동 2
 
1.5%
사가정라움빌 1
 
0.8%
Other values (44) 44
33.8%
2024-05-11T15:28:25.810047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
17.5%
동 30
 
4.6%
중 29
 
4.4%
서 28
 
4.3%
1 28
 
4.3%
시 28
 
4.3%
구 27
 
4.1%
울 27
 
4.1%
랑 27
 
4.1%
별 27
 
4.1%
Other values (80) 292
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
57.6%
Decimal Number 126
 
19.1%
Space Separator 115
 
17.5%
Dash Punctuation 25
 
3.8%
Uppercase Letter 6
 
0.9%
Lowercase Letter 6
 
0.9%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
7.9%
중 29
 
7.7%
서 28
 
7.4%
시 28
 
7.4%
구 27
 
7.1%
울 27
 
7.1%
랑 27
 
7.1%
별 27
 
7.1%
특 27
 
7.1%
면 11
 
2.9%
Other values (57) 118
31.1%
Decimal Number
ValueCountFrequency (%)
1 28
22.2%
2 15
11.9%
7 13
10.3%
3 13
10.3%
4 12
9.5%
6 12
9.5%
0 11
 
8.7%
5 10
 
7.9%
8 8
 
6.3%
9 4
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
K 2
33.3%
S 1
16.7%
V 1
16.7%
T 1
16.7%
F 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
57.6%
Common 267
40.6%
Latin 12
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
7.9%
중 29
 
7.7%
서 28
 
7.4%
시 28
 
7.4%
구 27
 
7.1%
울 27
 
7.1%
랑 27
 
7.1%
별 27
 
7.1%
특 27
 
7.1%
면 11
 
2.9%
Other values (57) 118
31.1%
Common
ValueCountFrequency (%)
115
43.1%
1 28
 
10.5%
- 25
 
9.4%
2 15
 
5.6%
7 13
 
4.9%
3 13
 
4.9%
4 12
 
4.5%
6 12
 
4.5%
0 11
 
4.1%
5 10
 
3.7%
Other values (3) 13
 
4.9%
Latin
ValueCountFrequency (%)
K 2
16.7%
e 2
16.7%
S 1
8.3%
V 1
8.3%
c 1
8.3%
n 1
8.3%
t 1
8.3%
r 1
8.3%
T 1
8.3%
F 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
57.6%
ASCII 279
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
41.2%
1 28
 
10.0%
- 25
 
9.0%
2 15
 
5.4%
7 13
 
4.7%
3 13
 
4.7%
4 12
 
4.3%
6 12
 
4.3%
0 11
 
3.9%
5 10
 
3.6%
Other values (13) 25
 
9.0%
Hangul
ValueCountFrequency (%)
동 30
 
7.9%
중 29
 
7.7%
서 28
 
7.4%
시 28
 
7.4%
구 27
 
7.1%
울 27
 
7.1%
랑 27
 
7.1%
별 27
 
7.1%
특 27
 
7.1%
면 11
 
2.9%
Other values (57) 118
31.1%

도로명주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-11T15:28:26.204642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length32.444444
Min length23

Characters and Unicode

Total characters876
Distinct characters98
Distinct categories9 ?
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 중랑구 동일로151길 65, 1층 (묵동)
2nd row서울특별시 중랑구 답십리로81길 136, 1층 (면목동)
3rd row서울특별시 중랑구 숙선옹주로3길 20-33, 1층 (묵동, 골드캐슬)
4th row서울특별시 중랑구 숙선옹주로3길 20-33, 1층 (묵동)
5th row서울특별시 중랑구 용마산로90길 7, 1층 (면목동)
ValueCountFrequency (%)
서울특별시 27
 
16.0%
중랑구 27
 
16.0%
면목동 9
 
5.3%
1층 8
 
4.7%
묵동 7
 
4.1%
상봉동 4
 
2.4%
망우로 3
 
1.8%
중랑역로 3
 
1.8%
중화동 2
 
1.2%
신내동 2
 
1.2%
Other values (70) 77
45.6%
2024-05-11T15:28:26.918563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
 
16.4%
1 43
 
4.9%
동 34
 
3.9%
중 34
 
3.9%
랑 30
 
3.4%
서 28
 
3.2%
시 28
 
3.2%
별 27
 
3.1%
구 27
 
3.1%
) 27
 
3.1%
Other values (88) 454
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
56.7%
Space Separator 144
 
16.4%
Decimal Number 139
 
15.9%
Close Punctuation 27
 
3.1%
Open Punctuation 27
 
3.1%
Other Punctuation 27
 
3.1%
Lowercase Letter 6
 
0.7%
Dash Punctuation 5
 
0.6%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
 
6.8%
중 34
 
6.8%
랑 30
 
6.0%
서 28
 
5.6%
시 28
 
5.6%
별 27
 
5.4%
구 27
 
5.4%
울 27
 
5.4%
로 27
 
5.4%
특 27
 
5.4%
Other values (63) 208
41.9%
Decimal Number
ValueCountFrequency (%)
1 43
30.9%
2 23
16.5%
3 15
 
10.8%
0 13
 
9.4%
4 10
 
7.2%
8 8
 
5.8%
7 8
 
5.8%
5 8
 
5.8%
9 6
 
4.3%
6 5
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
25.0%
V 1
25.0%
B 1
25.0%
S 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
& 1
 
3.7%
Space Separator
ValueCountFrequency (%)
144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
56.7%
Common 369
42.1%
Latin 10
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
 
6.8%
중 34
 
6.8%
랑 30
 
6.0%
서 28
 
5.6%
시 28
 
5.6%
별 27
 
5.4%
구 27
 
5.4%
울 27
 
5.4%
로 27
 
5.4%
특 27
 
5.4%
Other values (63) 208
41.9%
Common
ValueCountFrequency (%)
144
39.0%
1 43
 
11.7%
) 27
 
7.3%
( 27
 
7.3%
, 26
 
7.0%
2 23
 
6.2%
3 15
 
4.1%
0 13
 
3.5%
4 10
 
2.7%
8 8
 
2.2%
Other values (6) 33
 
8.9%
Latin
ValueCountFrequency (%)
e 2
20.0%
K 1
10.0%
V 1
10.0%
c 1
10.0%
n 1
10.0%
t 1
10.0%
r 1
10.0%
B 1
10.0%
S 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
56.7%
ASCII 379
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
38.0%
1 43
 
11.3%
) 27
 
7.1%
( 27
 
7.1%
, 26
 
6.9%
2 23
 
6.1%
3 15
 
4.0%
0 13
 
3.4%
4 10
 
2.6%
8 8
 
2.1%
Other values (15) 43
 
11.3%
Hangul
ValueCountFrequency (%)
동 34
 
6.8%
중 34
 
6.8%
랑 30
 
6.0%
서 28
 
5.6%
시 28
 
5.6%
별 27
 
5.4%
구 27
 
5.4%
울 27
 
5.4%
로 27
 
5.4%
특 27
 
5.4%
Other values (63) 208
41.9%

도로명우편번호
Real number (ℝ)

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2124.8148
Minimum2007
Maximum2262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T15:28:27.153115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2007.3
Q12022.5
median2149
Q32207.5
95-th percentile2247.5
Maximum2262
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation94.593071
Coefficient of variation (CV)0.044518266
Kurtosis-1.7298344
Mean2124.8148
Median Absolute Deviation (MAD)91
Skewness-0.041389545
Sum57370
Variance8947.849
MonotonicityNot monotonic
2024-05-11T15:28:27.726176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2007 2
 
7.4%
2031 2
 
7.4%
2014 2
 
7.4%
2214 2
 
7.4%
2201 2
 
7.4%
2244 1
 
3.7%
2149 1
 
3.7%
2163 1
 
3.7%
2262 1
 
3.7%
2227 1
 
3.7%
Other values (12) 12
44.4%
ValueCountFrequency (%)
2007 2
7.4%
2008 1
3.7%
2010 1
3.7%
2011 1
3.7%
2014 2
7.4%
2031 2
7.4%
2054 1
3.7%
2082 1
3.7%
2086 1
3.7%
2091 1
3.7%
ValueCountFrequency (%)
2262 1
3.7%
2249 1
3.7%
2244 1
3.7%
2240 1
3.7%
2227 1
3.7%
2214 2
7.4%
2201 2
7.4%
2195 1
3.7%
2191 1
3.7%
2174 1
3.7%

사업장명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-11T15:28:28.054729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length5.5185185
Min length3

Characters and Unicode

Total characters149
Distinct characters93
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
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 row루미앤비비
2nd row예삐네 착한 수제간식
3rd row애둥이
4th row愛둥이(AEDUNGI)
5th row밸리스
ValueCountFrequency (%)
루미앤비비 1
 
2.9%
온 1
 
2.9%
마리앤독 1
 
2.9%
견생일기 1
 
2.9%
감성독 1
 
2.9%
위클리 1
 
2.9%
뚱멍뚱냥 1
 
2.9%
주방에 1
 
2.9%
댕댕이 1
 
2.9%
예삐네 1
 
2.9%
Other values (24) 24
70.6%
2024-05-11T15:28:28.637056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
4.7%
리 5
 
3.4%
독 5
 
3.4%
이 5
 
3.4%
랑 3
 
2.0%
( 3
 
2.0%
견 3
 
2.0%
댕 3
 
2.0%
t 3
 
2.0%
) 3
 
2.0%
Other values (83) 109
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
73.8%
Lowercase Letter 15
 
10.1%
Uppercase Letter 11
 
7.4%
Space Separator 7
 
4.7%
Open Punctuation 3
 
2.0%
Close Punctuation 3
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 5
 
4.5%
독 5
 
4.5%
이 5
 
4.5%
랑 3
 
2.7%
견 3
 
2.7%
댕 3
 
2.7%
스 3
 
2.7%
개 2
 
1.8%
하 2
 
1.8%
뚱 2
 
1.8%
Other values (62) 77
70.0%
Lowercase Letter
ValueCountFrequency (%)
t 3
20.0%
i 2
13.3%
e 2
13.3%
l 2
13.3%
a 2
13.3%
g 1
 
6.7%
o 1
 
6.7%
s 1
 
6.7%
n 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
G 2
18.2%
D 2
18.2%
W 1
9.1%
A 1
9.1%
E 1
9.1%
U 1
9.1%
N 1
9.1%
I 1
9.1%
L 1
9.1%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109
73.2%
Latin 26
 
17.4%
Common 13
 
8.7%
Han 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 5
 
4.6%
독 5
 
4.6%
이 5
 
4.6%
랑 3
 
2.8%
견 3
 
2.8%
댕 3
 
2.8%
스 3
 
2.8%
개 2
 
1.8%
하 2
 
1.8%
뚱 2
 
1.8%
Other values (61) 76
69.7%
Latin
ValueCountFrequency (%)
t 3
 
11.5%
i 2
 
7.7%
G 2
 
7.7%
D 2
 
7.7%
e 2
 
7.7%
l 2
 
7.7%
a 2
 
7.7%
g 1
 
3.8%
o 1
 
3.8%
s 1
 
3.8%
Other values (8) 8
30.8%
Common
ValueCountFrequency (%)
7
53.8%
( 3
23.1%
) 3
23.1%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109
73.2%
ASCII 39
 
26.2%
CJK 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
17.9%
( 3
 
7.7%
t 3
 
7.7%
) 3
 
7.7%
i 2
 
5.1%
G 2
 
5.1%
D 2
 
5.1%
e 2
 
5.1%
l 2
 
5.1%
a 2
 
5.1%
Other values (11) 11
28.2%
Hangul
ValueCountFrequency (%)
리 5
 
4.6%
독 5
 
4.6%
이 5
 
4.6%
랑 3
 
2.8%
견 3
 
2.8%
댕 3
 
2.8%
스 3
 
2.8%
개 2
 
1.8%
하 2
 
1.8%
뚱 2
 
1.8%
Other values (61) 76
69.7%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2017-05-26 10:09:34
Maximum2024-03-22 16:47:16
2024-05-11T15:28:28.953956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:29.163910image/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
U
18 
I
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 18
66.7%
I 9
33.3%

Length

2024-05-11T15:28:29.376210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:29.544273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 18
66.7%
i 9
33.3%

데이터갱신일자
Date

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:04:00
2024-05-11T15:28:29.770496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:29.971324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
단미
25 
배합
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단미 25
92.6%
배합 2
 
7.4%

Length

2024-05-11T15:28:30.221778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:30.367792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 25
92.6%
배합 2
 
7.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)96.2%
Missing1
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean207562.12
Minimum206434.3
Maximum208520.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T15:28:30.538280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206434.3
5-th percentile206526.66
Q1206848.33
median207692.81
Q3208215.98
95-th percentile208431.17
Maximum208520.09
Range2085.7944
Interquartile range (IQR)1367.6505

Descriptive statistics

Standard deviation698.26458
Coefficient of variation (CV)0.0033641234
Kurtosis-1.4529631
Mean207562.12
Median Absolute Deviation (MAD)604.60737
Skewness-0.26037967
Sum5396615
Variance487573.43
MonotonicityNot monotonic
2024-05-11T15:28:30.746339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
207021.847277407 2
 
7.4%
206501.392164624 1
 
3.7%
206777.237166986 1
 
3.7%
207734.217753337 1
 
3.7%
208264.133937348 1
 
3.7%
207386.501200279 1
 
3.7%
207836.506262242 1
 
3.7%
207956.517211326 1
 
3.7%
208520.092335397 1
 
3.7%
208273.692951363 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
206434.297984115 1
3.7%
206501.392164624 1
3.7%
206602.447100649 1
3.7%
206604.835791303 1
3.7%
206773.731001192 1
3.7%
206777.237166986 1
3.7%
206790.496483805 1
3.7%
207021.847277407 2
7.4%
207386.501200279 1
3.7%
207412.215836038 1
3.7%
ValueCountFrequency (%)
208520.092335397 1
3.7%
208454.371304332 1
3.7%
208361.575538899 1
3.7%
208321.151514705 1
3.7%
208273.692951363 1
3.7%
208264.133937348 1
3.7%
208224.635638239 1
3.7%
208190.031935025 1
3.7%
208142.228796787 1
3.7%
207956.517211326 1
3.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)96.2%
Missing1
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean454874.19
Minimum452703.61
Maximum456965.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T15:28:30.955310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452703.61
5-th percentile452830.18
Q1453438.01
median455148.39
Q3456130.49
95-th percentile456875.1
Maximum456965.41
Range4261.7989
Interquartile range (IQR)2692.4751

Descriptive statistics

Standard deviation1401.0811
Coefficient of variation (CV)0.0030801508
Kurtosis-1.398218
Mean454874.19
Median Absolute Deviation (MAD)1186.6213
Skewness-0.14124508
Sum11826729
Variance1963028.3
MonotonicityNot monotonic
2024-05-11T15:28:31.171082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
456965.41175473 2
 
7.4%
456155.821693343 1
 
3.7%
455769.21428823 1
 
3.7%
454934.006784906 1
 
3.7%
455115.821921217 1
 
3.7%
453284.536373137 1
 
3.7%
453022.812414615 1
 
3.7%
453156.038083018 1
 
3.7%
456195.877460936 1
 
3.7%
453963.739422002 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
452703.612823136 1
3.7%
452765.964245741 1
3.7%
453022.812414615 1
3.7%
453156.038083018 1
3.7%
453182.516815351 1
3.7%
453280.047115151 1
3.7%
453284.536373137 1
3.7%
453898.443759712 1
3.7%
453959.789979314 1
3.7%
453963.739422002 1
3.7%
ValueCountFrequency (%)
456965.41175473 2
7.4%
456604.18448646 1
3.7%
456466.677674703 1
3.7%
456195.877460936 1
3.7%
456189.180833058 1
3.7%
456155.821693343 1
3.7%
456054.488031287 1
3.7%
455769.21428823 1
3.7%
455752.030472761 1
3.7%
455351.306539076 1
3.7%

축산업무구분명
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
15 
사료제조업
12 

Length

Max length5
Median length4
Mean length4.4444444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
55.6%
사료제조업 12
44.4%

Length

2024-05-11T15:28:31.457026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:31.630491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
55.6%
사료제조업 12
44.4%

축산물가공업구분명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
15 
단미
11 
배합
 
1

Length

Max length4
Median length4
Mean length3.1111111
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
55.6%
단미 11
40.7%
배합 1
 
3.7%

Length

2024-05-11T15:28:31.832424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:32.015136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
55.6%
단미 11
40.7%
배합 1
 
3.7%

축산일련번호
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
24 
0
3 

Length

Max length4
Median length4
Mean length3.6666667
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> 24
88.9%
0 3
 
11.1%

Length

2024-05-11T15:28:32.198674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:32.399380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
88.9%
0 3
 
11.1%

권리주체일련번호
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
15 
0
12 

Length

Max length4
Median length4
Mean length2.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
55.6%
0 12
44.4%

Length

2024-05-11T15:28:32.622858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:32.895931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
55.6%
0 12
44.4%

총인원
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
24 
0
3 

Length

Max length4
Median length4
Mean length3.6666667
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> 24
88.9%
0 3
 
11.1%

Length

2024-05-11T15:28:33.100942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:33.291140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
88.9%
0 3
 
11.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0306000030600000342011000120110627<NA>3폐업2폐업20170526<NA><NA><NA>02-545-02260<NA>서울특별시 중랑구 묵동 247-120번지 1층서울특별시 중랑구 동일로151길 65, 1층 (묵동)2011루미앤비비2017-05-26 10:09:34I2018-08-31 23:59:59.0단미206501.392165456155.821693사료제조업단미<NA>0<NA>
1306000030600000342016000120160419<NA>3폐업2폐업20181127<NA><NA><NA><NA>0<NA>서울특별시 중랑구 면목동 353-17번지서울특별시 중랑구 답십리로81길 136, 1층 (면목동)2240예삐네 착한 수제간식2018-11-27 16:10:33U2018-11-29 02:40:00.0단미207465.378776452765.964246사료제조업단미<NA>0<NA>
2306000030600000342016000220160616<NA>3폐업2폐업20160627<NA><NA><NA><NA>0<NA>서울특별시 중랑구 묵동 110-8번지 골드캐슬 1층서울특별시 중랑구 숙선옹주로3길 20-33, 1층 (묵동, 골드캐슬)2031애둥이2017-05-26 13:24:41I2018-08-31 23:59:59.0단미207021.847277456965.411755사료제조업단미<NA>0<NA>
3306000030600000342016000320160627<NA>3폐업2폐업20210126<NA><NA><NA><NA>0<NA>서울특별시 중랑구 묵동 110-8 1층서울특별시 중랑구 숙선옹주로3길 20-33, 1층 (묵동)2031愛둥이(AEDUNGI)2021-01-26 15:46:26U2021-01-28 02:40:00.0배합207021.847277456965.411755사료제조업배합<NA>0<NA>
4306000030600000342016000420160826<NA>3폐업2폐업20170526<NA><NA><NA><NA>0<NA>서울특별시 중랑구 면목동 19-57번지서울특별시 중랑구 용마산로90길 7, 1층 (면목동)2191밸리스2017-05-26 10:11:33I2018-08-31 23:59:59.0단미208454.371304453959.789979사료제조업단미<NA>0<NA>
5306000030600000342016000520161026<NA>3폐업2폐업20171017<NA><NA><NA>02-6465-32700<NA>서울특별시 중랑구 묵동 243-88번지 1층서울특별시 중랑구 동일로151길 46, 1층 (묵동)2008건강하개2017-10-17 16:05:30I2018-08-31 23:59:59.0단미206602.447101456189.180833사료제조업단미<NA>0<NA>
630600003060000034201800012018-05-18<NA>3폐업2폐업2024-02-22<NA><NA><NA><NA>0<NA>서울특별시 중랑구 망우동 477-47서울특별시 중랑구 상봉로 84, 2층 (망우동)2174바르다펫2024-02-23 16:35:28U2023-12-01 22:05:00.0단미208190.031935454553.097583<NA><NA><NA><NA><NA>
7306000030600000342019000120190925<NA>1영업/정상0정상<NA><NA><NA><NA>-0<NA>서울특별시 중랑구 상봉동 202-1서울특별시 중랑구 상봉중앙로1길 12 (상봉동)2091왈왈츠2020-09-21 17:04:41U2020-09-23 02:40:00.0단미207651.411968455258.026075사료제조업단미<NA>0<NA>
8306000030600000342020000120200203<NA>3폐업2폐업20210614<NA><NA><NA><NA>0<NA>서울특별시 중랑구 중화동 307-62 승진학원서울특별시 중랑구 중랑역로 120, 지하1층 (중화동)2014말랑말랑2021-06-14 13:08:54U2021-06-16 02:40:00.0단미206773.731001455752.030473사료제조업단미<NA>0<NA>
9306000030600000342020000220200220<NA>3폐업2폐업20220422<NA><NA><NA><NA>0<NA>서울특별시 중랑구 상봉동 74-2서울특별시 중랑구 망우로 385 (상봉동)2086본오독2022-04-22 14:54:44U2021-12-03 22:04:00.0단미208321.151515455180.949984<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
1730600003060000034202100042021-07-29<NA>3폐업2폐업2024-01-22<NA><NA><NA><NA>0<NA>서울특별시 중랑구 면목동 1326-155서울특별시 중랑구 면목로44길 79, 4층 (면목동)2214감성독2024-01-22 17:42:44U2023-11-30 22:04:00.0단미208142.228797453182.516815<NA><NA><NA><NA><NA>
18306000030600000342021000520210830<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 중랑구 상봉동 276-52서울특별시 중랑구 상봉중앙로8가길 46-1, 1층 (상봉동)2082위클리2021-08-30 10:57:16I2021-09-01 00:22:50.0단미207892.251408455351.306539사료제조업단미000
1930600003060000034202100062021-09-30<NA>3폐업2폐업2023-06-08<NA><NA><NA><NA>0<NA>서울특별시 중랑구 면목동 44-4 금성빌딩서울특별시 중랑구 용마산로89길 27, 금성빌딩 103호 (면목동)2201뚱멍뚱냥2023-06-20 15:28:16U2022-12-05 22:02:00.0단미208273.692951453963.739422<NA><NA><NA><NA><NA>
20306000030600000342021000720211101<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 중랑구 신내동 786 동성타워프라자서울특별시 중랑구 봉화산로 221, 2층 210호 (신내동, 동성타워프라자)2054주방에 온 댕댕이2021-11-01 14:46:47I2021-11-03 00:22:45.0단미208520.092335456195.877461사료제조업단미000
2130600003060000034202100082021-11-01<NA>3폐업2폐업2023-03-21<NA><NA><NA>02-2209-79420<NA>서울특별시 중랑구 면목동 1110-13 면목동스카이시티서울특별시 중랑구 사가정로 415, 101호 (면목동, 면목동스카이시티)2214명랑견생2023-03-21 14:45:59U2022-12-02 22:03:00.0단미207956.517211453156.038083<NA><NA><NA><NA><NA>
22306000030600000342022000120220302<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 중랑구 면목동 616-28 사가정라움빌서울특별시 중랑구 면목로42길 27, 201호 (면목동, 사가정라움빌)2249이솝하우스2022-03-02 16:28:58I2022-03-04 00:22:37.0단미207836.506262453022.812415사료제조업단미000
2330600003060000034202200022022-07-01<NA>3폐업2폐업2024-03-22<NA><NA><NA>02-6083-07010<NA>서울특별시 중랑구 면목동 607-16서울특별시 중랑구 사가정로41길 16(면목동)2227펫크닉2024-03-22 16:47:16U2023-12-02 22:04:00.0단미207386.5012453284.536373<NA><NA><NA><NA><NA>
24306000030600000342022000320220730<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 중랑구 신내동 821-2 신내 SK V1 center서울특별시 중랑구 신내역로 111, 신내 SK V1 center B-115호 (신내동)2262코코댕2022-07-30 20:25:32I2021-12-08 00:01:00.0단미<NA><NA><NA><NA><NA><NA><NA>
2530600003060000034202300012023-02-01<NA>3폐업2폐업2024-01-22<NA><NA><NA><NA>0<NA>서울특별시 중랑구 망우동 563-14서울특별시 중랑구 망우로 378-2(망우동)2163Wales Dog(웨일스독)2024-01-22 17:41:01U2023-11-30 22:04:00.0단미208264.133937455115.821921<NA><NA><NA><NA><NA>
2630600003060000034202300022023-12-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 중랑구 상봉동 91-4 상봉역 유보라 퍼스트리브&포스퀘어서울특별시 중랑구 망우로 322, 218호 (상봉동, 상봉역 유보라 퍼스트리브&포스퀘어)2149투플러피2023-12-15 17:33:57I2022-11-01 23:07:00.0단미207734.217753454934.006785<NA><NA><NA><NA><NA>