Overview

Dataset statistics

Number of variables44
Number of observations76
Missing cells709
Missing cells (%)21.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.0 KiB
Average record size in memory377.7 B

Variable types

Categorical21
Text7
DateTime2
Unsupported7
Numeric6
Boolean1

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),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-18311/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (50.4%)Imbalance
총인원 is highly imbalanced (89.9%)Imbalance
보증액 is highly imbalanced (60.3%)Imbalance
월세액 is highly imbalanced (64.7%)Imbalance
인허가취소일자 has 76 (100.0%) missing valuesMissing
폐업일자 has 28 (36.8%) missing valuesMissing
휴업시작일자 has 76 (100.0%) missing valuesMissing
휴업종료일자 has 76 (100.0%) missing valuesMissing
재개업일자 has 76 (100.0%) missing valuesMissing
전화번호 has 13 (17.1%) missing valuesMissing
소재지면적 has 1 (1.3%) missing valuesMissing
도로명주소 has 25 (32.9%) missing valuesMissing
도로명우편번호 has 26 (34.2%) missing valuesMissing
좌표정보(X) has 2 (2.6%) missing valuesMissing
좌표정보(Y) has 2 (2.6%) missing valuesMissing
여성종사자수 has 58 (76.3%) missing valuesMissing
다중이용업소여부 has 11 (14.5%) missing valuesMissing
시설총규모 has 11 (14.5%) missing valuesMissing
전통업소지정번호 has 76 (100.0%) missing valuesMissing
전통업소주된음식 has 76 (100.0%) missing valuesMissing
홈페이지 has 76 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
여성종사자수 has 11 (14.5%) zerosZeros
시설총규모 has 55 (72.4%) zerosZeros

Reproduction

Analysis started2024-04-06 12:37:23.824391
Analysis finished2024-04-06 12:37:24.786256
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
3090000
76 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 76
100.0%

Length

2024-04-06T21:37:24.917442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:25.105783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 76
100.0%

관리번호
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T21:37:25.413158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1672
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

Unique76 ?
Unique (%)100.0%

Sample

1st row3090000-114-1993-00216
2nd row3090000-114-1996-00214
3rd row3090000-114-1996-00215
4th row3090000-114-1996-00217
5th row3090000-114-1996-00218
ValueCountFrequency (%)
3090000-114-1993-00216 1
 
1.3%
3090000-114-2010-00001 1
 
1.3%
3090000-114-2012-00003 1
 
1.3%
3090000-114-2012-00002 1
 
1.3%
3090000-114-2012-00001 1
 
1.3%
3090000-114-2011-00004 1
 
1.3%
3090000-114-2011-00003 1
 
1.3%
3090000-114-2011-00002 1
 
1.3%
3090000-114-2011-00001 1
 
1.3%
3090000-114-1996-00214 1
 
1.3%
Other values (66) 66
86.8%
2024-04-06T21:37:26.007131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 745
44.6%
1 231
 
13.8%
- 228
 
13.6%
9 120
 
7.2%
2 98
 
5.9%
3 95
 
5.7%
4 95
 
5.7%
8 21
 
1.3%
6 17
 
1.0%
5 14
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1444
86.4%
Dash Punctuation 228
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 745
51.6%
1 231
 
16.0%
9 120
 
8.3%
2 98
 
6.8%
3 95
 
6.6%
4 95
 
6.6%
8 21
 
1.5%
6 17
 
1.2%
5 14
 
1.0%
7 8
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 745
44.6%
1 231
 
13.8%
- 228
 
13.6%
9 120
 
7.2%
2 98
 
5.9%
3 95
 
5.7%
4 95
 
5.7%
8 21
 
1.3%
6 17
 
1.0%
5 14
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 745
44.6%
1 231
 
13.8%
- 228
 
13.6%
9 120
 
7.2%
2 98
 
5.9%
3 95
 
5.7%
4 95
 
5.7%
8 21
 
1.3%
6 17
 
1.0%
5 14
 
0.8%

인허가일자
Date

Distinct73
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum1993-11-09 00:00:00
Maximum2024-03-05 00:00:00
2024-04-06T21:37:26.299714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:37:26.574021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
3
48 
1
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 48
63.2%
1 28
36.8%

Length

2024-04-06T21:37:26.839456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:27.100014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 48
63.2%
1 28
36.8%

영업상태명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
폐업
48 
영업/정상
28 

Length

Max length5
Median length2
Mean length3.1052632
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 48
63.2%
영업/정상 28
36.8%

Length

2024-04-06T21:37:27.319939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:27.498667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
63.2%
영업/정상 28
36.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
2
48 
1
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 48
63.2%
1 28
36.8%

Length

2024-04-06T21:37:27.701871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:27.878305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 48
63.2%
1 28
36.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
폐업
48 
영업
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 48
63.2%
영업 28
36.8%

Length

2024-04-06T21:37:28.104918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:28.315076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
63.2%
영업 28
36.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)95.8%
Missing28
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean20109244
Minimum19991103
Maximum20221228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T21:37:28.654854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991103
5-th percentile20000753
Q120037897
median20105578
Q320180424
95-th percentile20206999
Maximum20221228
Range230125
Interquartile range (IQR)142526.75

Descriptive statistics

Standard deviation74238.835
Coefficient of variation (CV)0.0036917766
Kurtosis-1.5142999
Mean20109244
Median Absolute Deviation (MAD)74412
Skewness-0.093633134
Sum9.6524371 × 108
Variance5.5114047 × 109
MonotonicityNot monotonic
2024-04-06T21:37:28.902865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20160303 2
 
2.6%
20200427 2
 
2.6%
20030219 1
 
1.3%
19991230 1
 
1.3%
20080604 1
 
1.3%
20100324 1
 
1.3%
20100325 1
 
1.3%
20211029 1
 
1.3%
20060209 1
 
1.3%
20100127 1
 
1.3%
Other values (36) 36
47.4%
(Missing) 28
36.8%
ValueCountFrequency (%)
19991103 1
1.3%
19991230 1
1.3%
20000509 1
1.3%
20001205 1
1.3%
20010724 1
1.3%
20011026 1
1.3%
20020527 1
1.3%
20030219 1
1.3%
20030313 1
1.3%
20031007 1
1.3%
ValueCountFrequency (%)
20221228 1
1.3%
20211029 1
1.3%
20210120 1
1.3%
20201203 1
1.3%
20201027 1
1.3%
20200427 2
2.6%
20191209 1
1.3%
20191016 1
1.3%
20190917 1
1.3%
20190515 1
1.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

전화번호
Text

MISSING 

Distinct60
Distinct (%)95.2%
Missing13
Missing (%)17.1%
Memory size740.0 B
2024-04-06T21:37:29.704133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.396825
Min length8

Characters and Unicode

Total characters655
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

Unique57 ?
Unique (%)90.5%

Sample

1st row02 9011234
2nd row0234914297
3rd row02 9568884
4th row02 9995824
5th row02 9567334
ValueCountFrequency (%)
02 54
41.5%
6001 2
 
1.5%
9557313 2
 
1.5%
9980031 2
 
1.5%
908 2
 
1.5%
9550671 2
 
1.5%
9911417 2
 
1.5%
9909923 2
 
1.5%
9075689 1
 
0.8%
956 1
 
0.8%
Other values (60) 60
46.2%
2024-04-06T21:37:30.388802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 131
20.0%
9 114
17.4%
2 95
14.5%
82
12.5%
3 40
 
6.1%
1 39
 
6.0%
5 36
 
5.5%
4 33
 
5.0%
8 30
 
4.6%
6 29
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 573
87.5%
Space Separator 82
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 131
22.9%
9 114
19.9%
2 95
16.6%
3 40
 
7.0%
1 39
 
6.8%
5 36
 
6.3%
4 33
 
5.8%
8 30
 
5.2%
6 29
 
5.1%
7 26
 
4.5%
Space Separator
ValueCountFrequency (%)
82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 655
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 131
20.0%
9 114
17.4%
2 95
14.5%
82
12.5%
3 40
 
6.1%
1 39
 
6.0%
5 36
 
5.5%
4 33
 
5.0%
8 30
 
4.6%
6 29
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 655
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 131
20.0%
9 114
17.4%
2 95
14.5%
82
12.5%
3 40
 
6.1%
1 39
 
6.0%
5 36
 
5.5%
4 33
 
5.0%
8 30
 
4.6%
6 29
 
4.4%

소재지면적
Text

MISSING 

Distinct68
Distinct (%)90.7%
Missing1
Missing (%)1.3%
Memory size740.0 B
2024-04-06T21:37:30.909004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.08
Min length3

Characters and Unicode

Total characters456
Distinct characters12
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

Unique62 ?
Unique (%)82.7%

Sample

1st row7,490.73
2nd row475.17
3rd row599.41
4th row418.25
5th row315.00
ValueCountFrequency (%)
00 3
 
4.0%
450.00 2
 
2.7%
320.00 2
 
2.7%
540.00 2
 
2.7%
660.00 2
 
2.7%
325.00 2
 
2.7%
2,500.00 1
 
1.3%
359.00 1
 
1.3%
726.00 1
 
1.3%
759.00 1
 
1.3%
Other values (58) 58
77.3%
2024-04-06T21:37:31.711998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 130
28.5%
. 75
16.4%
3 41
 
9.0%
5 37
 
8.1%
6 35
 
7.7%
4 32
 
7.0%
7 27
 
5.9%
1 22
 
4.8%
9 20
 
4.4%
2 19
 
4.2%
Other values (2) 18
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 375
82.2%
Other Punctuation 81
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
34.7%
3 41
 
10.9%
5 37
 
9.9%
6 35
 
9.3%
4 32
 
8.5%
7 27
 
7.2%
1 22
 
5.9%
9 20
 
5.3%
2 19
 
5.1%
8 12
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 75
92.6%
, 6
 
7.4%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 130
28.5%
. 75
16.4%
3 41
 
9.0%
5 37
 
8.1%
6 35
 
7.7%
4 32
 
7.0%
7 27
 
5.9%
1 22
 
4.8%
9 20
 
4.4%
2 19
 
4.2%
Other values (2) 18
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 130
28.5%
. 75
16.4%
3 41
 
9.0%
5 37
 
8.1%
6 35
 
7.7%
4 32
 
7.0%
7 27
 
5.9%
1 22
 
4.8%
9 20
 
4.4%
2 19
 
4.2%
Other values (2) 18
 
3.9%

소재지우편번호
Text

Distinct40
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T21:37:32.093815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1052632
Min length6

Characters and Unicode

Total characters464
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

Unique21 ?
Unique (%)27.6%

Sample

1st row132904
2nd row132-828
3rd row132020
4th row132872
5th row132848
ValueCountFrequency (%)
132872 6
 
7.9%
132801 6
 
7.9%
132907 4
 
5.3%
132918 4
 
5.3%
132904 3
 
3.9%
132861 3
 
3.9%
132820 3
 
3.9%
132881 3
 
3.9%
132854 3
 
3.9%
132920 2
 
2.6%
Other values (30) 39
51.3%
2024-04-06T21:37:32.703786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 105
22.6%
2 98
21.1%
3 83
17.9%
8 59
12.7%
9 38
 
8.2%
0 33
 
7.1%
4 13
 
2.8%
7 11
 
2.4%
5 9
 
1.9%
- 8
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 456
98.3%
Dash Punctuation 8
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 105
23.0%
2 98
21.5%
3 83
18.2%
8 59
12.9%
9 38
 
8.3%
0 33
 
7.2%
4 13
 
2.9%
7 11
 
2.4%
5 9
 
2.0%
6 7
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 464
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 105
22.6%
2 98
21.1%
3 83
17.9%
8 59
12.7%
9 38
 
8.2%
0 33
 
7.1%
4 13
 
2.8%
7 11
 
2.4%
5 9
 
1.9%
- 8
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 105
22.6%
2 98
21.1%
3 83
17.9%
8 59
12.7%
9 38
 
8.2%
0 33
 
7.1%
4 13
 
2.8%
7 11
 
2.4%
5 9
 
1.9%
- 8
 
1.7%

지번주소
Text

Distinct67
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T21:37:33.250234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length37
Mean length24.328947
Min length17

Characters and Unicode

Total characters1849
Distinct characters85
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

Unique60 ?
Unique (%)78.9%

Sample

1st row서울특별시 도봉구 창동 135-26
2nd row서울특별시 도봉구 방학동 271-2
3rd row서울특별시 도봉구 방학동 734 청구상가 지층
4th row서울특별시 도봉구 쌍문동 215-1 지하동 1층호
5th row서울특별시 도봉구 방학동 662-26
ValueCountFrequency (%)
서울특별시 76
20.3%
도봉구 76
20.3%
창동 31
 
8.3%
쌍문동 22
 
5.9%
방학동 12
 
3.2%
도봉동 12
 
3.2%
지층 7
 
1.9%
1층 7
 
1.9%
215-1 6
 
1.6%
297-16 4
 
1.1%
Other values (100) 122
32.5%
2024-04-06T21:37:33.993025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
358
19.4%
1 105
 
5.7%
도 89
 
4.8%
봉 89
 
4.8%
동 89
 
4.8%
구 77
 
4.2%
서 76
 
4.1%
특 76
 
4.1%
별 76
 
4.1%
시 76
 
4.1%
Other values (75) 738
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1010
54.6%
Decimal Number 388
 
21.0%
Space Separator 358
 
19.4%
Dash Punctuation 61
 
3.3%
Other Punctuation 18
 
1.0%
Math Symbol 10
 
0.5%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 89
 
8.8%
봉 89
 
8.8%
동 89
 
8.8%
구 77
 
7.6%
서 76
 
7.5%
특 76
 
7.5%
별 76
 
7.5%
시 76
 
7.5%
울 76
 
7.5%
창 33
 
3.3%
Other values (57) 253
25.0%
Decimal Number
ValueCountFrequency (%)
1 105
27.1%
6 46
11.9%
2 46
11.9%
3 36
 
9.3%
5 35
 
9.0%
0 30
 
7.7%
7 27
 
7.0%
9 25
 
6.4%
4 20
 
5.2%
8 18
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
A 1
25.0%
L 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
358
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1010
54.6%
Common 835
45.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 89
 
8.8%
봉 89
 
8.8%
동 89
 
8.8%
구 77
 
7.6%
서 76
 
7.5%
특 76
 
7.5%
별 76
 
7.5%
시 76
 
7.5%
울 76
 
7.5%
창 33
 
3.3%
Other values (57) 253
25.0%
Common
ValueCountFrequency (%)
358
42.9%
1 105
 
12.6%
- 61
 
7.3%
6 46
 
5.5%
2 46
 
5.5%
3 36
 
4.3%
5 35
 
4.2%
0 30
 
3.6%
7 27
 
3.2%
9 25
 
3.0%
Other values (4) 66
 
7.9%
Latin
ValueCountFrequency (%)
B 1
25.0%
A 1
25.0%
L 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1010
54.6%
ASCII 839
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
358
42.7%
1 105
 
12.5%
- 61
 
7.3%
6 46
 
5.5%
2 46
 
5.5%
3 36
 
4.3%
5 35
 
4.2%
0 30
 
3.6%
7 27
 
3.2%
9 25
 
3.0%
Other values (8) 70
 
8.3%
Hangul
ValueCountFrequency (%)
도 89
 
8.8%
봉 89
 
8.8%
동 89
 
8.8%
구 77
 
7.6%
서 76
 
7.5%
특 76
 
7.5%
별 76
 
7.5%
시 76
 
7.5%
울 76
 
7.5%
창 33
 
3.3%
Other values (57) 253
25.0%

도로명주소
Text

MISSING 

Distinct49
Distinct (%)96.1%
Missing25
Missing (%)32.9%
Memory size740.0 B
2024-04-06T21:37:34.394922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length32.039216
Min length22

Characters and Unicode

Total characters1634
Distinct characters96
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

Unique47 ?
Unique (%)92.2%

Sample

1st row서울특별시 도봉구 노해로65길 4 (창동)
2nd row서울특별시 도봉구 방학로 223 (방학동)
3rd row서울특별시 도봉구 해등로 268 (방학동, 청구상가 지층)
4th row서울특별시 도봉구 도당로 75 (방학동)
5th row서울특별시 도봉구 마들로11길 20 (창동)
ValueCountFrequency (%)
서울특별시 51
 
16.2%
도봉구 51
 
16.2%
창동 18
 
5.7%
쌍문동 13
 
4.1%
방학동 10
 
3.2%
1층 9
 
2.9%
도봉동 7
 
2.2%
지층 5
 
1.6%
38 5
 
1.6%
3 5
 
1.6%
Other values (101) 141
44.8%
2024-04-06T21:37:35.078520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
16.2%
1 86
 
5.3%
도 78
 
4.8%
봉 75
 
4.6%
동 61
 
3.7%
, 55
 
3.4%
구 52
 
3.2%
서 51
 
3.1%
로 51
 
3.1%
울 51
 
3.1%
Other values (86) 810
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
54.8%
Decimal Number 298
 
18.2%
Space Separator 264
 
16.2%
Other Punctuation 55
 
3.4%
Close Punctuation 51
 
3.1%
Open Punctuation 51
 
3.1%
Math Symbol 11
 
0.7%
Uppercase Letter 5
 
0.3%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 78
 
8.7%
봉 75
 
8.4%
동 61
 
6.8%
구 52
 
5.8%
서 51
 
5.7%
로 51
 
5.7%
울 51
 
5.7%
시 51
 
5.7%
별 51
 
5.7%
특 51
 
5.7%
Other values (67) 323
36.1%
Decimal Number
ValueCountFrequency (%)
1 86
28.9%
2 38
12.8%
3 36
12.1%
0 29
 
9.7%
6 25
 
8.4%
9 19
 
6.4%
5 18
 
6.0%
8 17
 
5.7%
4 17
 
5.7%
7 13
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
G 1
 
20.0%
L 1
 
20.0%
Space Separator
ValueCountFrequency (%)
264
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
54.8%
Common 734
44.9%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 78
 
8.7%
봉 75
 
8.4%
동 61
 
6.8%
구 52
 
5.8%
서 51
 
5.7%
로 51
 
5.7%
울 51
 
5.7%
시 51
 
5.7%
별 51
 
5.7%
특 51
 
5.7%
Other values (67) 323
36.1%
Common
ValueCountFrequency (%)
264
36.0%
1 86
 
11.7%
, 55
 
7.5%
) 51
 
6.9%
( 51
 
6.9%
2 38
 
5.2%
3 36
 
4.9%
0 29
 
4.0%
6 25
 
3.4%
9 19
 
2.6%
Other values (6) 80
 
10.9%
Latin
ValueCountFrequency (%)
B 3
60.0%
G 1
 
20.0%
L 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
54.8%
ASCII 739
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
35.7%
1 86
 
11.6%
, 55
 
7.4%
) 51
 
6.9%
( 51
 
6.9%
2 38
 
5.1%
3 36
 
4.9%
0 29
 
3.9%
6 25
 
3.4%
9 19
 
2.6%
Other values (9) 85
 
11.5%
Hangul
ValueCountFrequency (%)
도 78
 
8.7%
봉 75
 
8.4%
동 61
 
6.8%
구 52
 
5.8%
서 51
 
5.7%
로 51
 
5.7%
울 51
 
5.7%
시 51
 
5.7%
별 51
 
5.7%
특 51
 
5.7%
Other values (67) 323
36.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)64.0%
Missing26
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean1387.12
Minimum1307
Maximum1470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T21:37:35.348927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1307
5-th percentile1319
Q11350.75
median1389
Q31413
95-th percentile1464.65
Maximum1470
Range163
Interquartile range (IQR)62.25

Descriptive statistics

Standard deviation47.007876
Coefficient of variation (CV)0.033888832
Kurtosis-0.83174042
Mean1387.12
Median Absolute Deviation (MAD)28
Skewness0.1145708
Sum69356
Variance2209.7404
MonotonicityNot monotonic
2024-04-06T21:37:35.609132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1319 4
 
5.3%
1387 4
 
5.3%
1335 3
 
3.9%
1402 3
 
3.9%
1391 2
 
2.6%
1417 2
 
2.6%
1362 2
 
2.6%
1401 2
 
2.6%
1381 2
 
2.6%
1413 2
 
2.6%
Other values (22) 24
31.6%
(Missing) 26
34.2%
ValueCountFrequency (%)
1307 1
 
1.3%
1318 1
 
1.3%
1319 4
5.3%
1320 1
 
1.3%
1332 1
 
1.3%
1334 1
 
1.3%
1335 3
3.9%
1349 1
 
1.3%
1356 1
 
1.3%
1362 2
2.6%
ValueCountFrequency (%)
1470 2
2.6%
1466 1
1.3%
1463 1
1.3%
1462 1
1.3%
1460 2
2.6%
1455 1
1.3%
1432 1
1.3%
1430 1
1.3%
1417 2
2.6%
1413 2
2.6%

사업장명
Text

Distinct73
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T21:37:36.020586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.1973684
Min length3

Characters and Unicode

Total characters623
Distinct characters139
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

Unique70 ?
Unique (%)92.1%

Sample

1st row(주)이마트
2nd row롯데쇼핑(주)롯데슈퍼 방학점
3rd row럭키마트
4th row(주)덕영상사영일공판장
5th row주식회사 세계로마트
ValueCountFrequency (%)
주)이마트에브리데이 4
 
4.3%
k 2
 
2.2%
마트 2
 
2.2%
진로마트 2
 
2.2%
주식회사 2
 
2.2%
롯데쇼핑(주)롯데슈퍼 2
 
2.2%
방학점 2
 
2.2%
쌍문점 2
 
2.2%
성화마트 1
 
1.1%
쌍문동점 1
 
1.1%
Other values (72) 72
78.3%
2024-04-06T21:37:36.733151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 54
 
8.7%
트 50
 
8.0%
) 34
 
5.5%
( 33
 
5.3%
주 32
 
5.1%
유 18
 
2.9%
통 16
 
2.6%
16
 
2.6%
점 15
 
2.4%
이 14
 
2.2%
Other values (129) 341
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 529
84.9%
Close Punctuation 34
 
5.5%
Open Punctuation 33
 
5.3%
Space Separator 16
 
2.6%
Uppercase Letter 6
 
1.0%
Dash Punctuation 2
 
0.3%
Lowercase Letter 2
 
0.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 54
 
10.2%
트 50
 
9.5%
주 32
 
6.0%
유 18
 
3.4%
통 16
 
3.0%
점 15
 
2.8%
이 14
 
2.6%
데 12
 
2.3%
동 11
 
2.1%
창 10
 
1.9%
Other values (118) 297
56.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
50.0%
C 1
 
16.7%
I 1
 
16.7%
V 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
z 1
50.0%
k 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 529
84.9%
Common 86
 
13.8%
Latin 8
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 54
 
10.2%
트 50
 
9.5%
주 32
 
6.0%
유 18
 
3.4%
통 16
 
3.0%
점 15
 
2.8%
이 14
 
2.6%
데 12
 
2.3%
동 11
 
2.1%
창 10
 
1.9%
Other values (118) 297
56.1%
Latin
ValueCountFrequency (%)
K 3
37.5%
z 1
 
12.5%
k 1
 
12.5%
C 1
 
12.5%
I 1
 
12.5%
V 1
 
12.5%
Common
ValueCountFrequency (%)
) 34
39.5%
( 33
38.4%
16
18.6%
- 2
 
2.3%
2 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 529
84.9%
ASCII 94
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 54
 
10.2%
트 50
 
9.5%
주 32
 
6.0%
유 18
 
3.4%
통 16
 
3.0%
점 15
 
2.8%
이 14
 
2.6%
데 12
 
2.3%
동 11
 
2.1%
창 10
 
1.9%
Other values (118) 297
56.1%
ASCII
ValueCountFrequency (%)
) 34
36.2%
( 33
35.1%
16
17.0%
K 3
 
3.2%
- 2
 
2.1%
z 1
 
1.1%
2 1
 
1.1%
k 1
 
1.1%
C 1
 
1.1%
I 1
 
1.1%

최종수정일자
Date

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum1999-03-12 00:00:00
Maximum2024-03-14 09:45:41
2024-04-06T21:37:37.020876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:37:37.281271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
I
48 
U
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 48
63.2%
U 28
36.8%

Length

2024-04-06T21:37:37.530693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:37.716866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 48
63.2%
u 28
36.8%

데이터갱신일자
Categorical

Distinct29
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
2018-08-31 23:59:59.0
44 
2021-04-17 02:40:00.0
 
3
2020-04-29 02:40:00.0
 
2
2022-12-04 22:01:00.0
 
2
2021-01-22 02:40:00.0
 
1
Other values (24)
24 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique25 ?
Unique (%)32.9%

Sample

1st row2020-04-23 02:40:00.0
2nd row2022-12-04 22:01:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 44
57.9%
2021-04-17 02:40:00.0 3
 
3.9%
2020-04-29 02:40:00.0 2
 
2.6%
2022-12-04 22:01:00.0 2
 
2.6%
2021-01-22 02:40:00.0 1
 
1.3%
2023-12-02 23:06:00.0 1
 
1.3%
2020-02-08 02:40:00.0 1
 
1.3%
2020-12-05 02:40:00.0 1
 
1.3%
2023-12-01 22:02:00.0 1
 
1.3%
2019-09-19 02:40:00.0 1
 
1.3%
Other values (19) 19
25.0%

Length

2024-04-06T21:37:37.933582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 44
28.9%
23:59:59.0 44
28.9%
02:40:00.0 18
11.8%
2022-12-04 4
 
2.6%
2021-04-17 3
 
2.0%
2021-10-31 2
 
1.3%
2021-11-01 2
 
1.3%
2023-12-01 2
 
1.3%
22:01:00.0 2
 
1.3%
2020-04-29 2
 
1.3%
Other values (29) 29
19.1%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
기타식품판매업
76 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 76
100.0%

Length

2024-04-06T21:37:38.158322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:38.353667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 76
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)66.2%
Missing2
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean203367.5
Minimum201167.09
Maximum204468.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T21:37:38.535857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201167.09
5-th percentile202164.92
Q1202857.22
median203296.16
Q3203985.26
95-th percentile204386.73
Maximum204468.66
Range3301.5705
Interquartile range (IQR)1128.0344

Descriptive statistics

Standard deviation691.74869
Coefficient of variation (CV)0.0034014712
Kurtosis0.089025367
Mean203367.5
Median Absolute Deviation (MAD)488.93373
Skewness-0.40759194
Sum15049195
Variance478516.25
MonotonicityNot monotonic
2024-04-06T21:37:38.785667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
202807.230907617 6
 
7.9%
203589.033642356 4
 
5.3%
202164.919977603 3
 
3.9%
204006.859775923 3
 
3.9%
202694.452137399 3
 
3.9%
204199.156989282 3
 
3.9%
203027.627111443 2
 
2.6%
203296.164641727 2
 
2.6%
203573.440068267 2
 
2.6%
203151.226589443 2
 
2.6%
Other values (39) 44
57.9%
ValueCountFrequency (%)
201167.086526829 1
 
1.3%
202081.861176179 1
 
1.3%
202164.919977603 3
3.9%
202237.410410982 1
 
1.3%
202326.175760253 1
 
1.3%
202694.452137399 3
3.9%
202781.667220692 1
 
1.3%
202807.230907617 6
7.9%
202834.277755281 2
 
2.6%
202926.052614 1
 
1.3%
ValueCountFrequency (%)
204468.657003222 2
2.6%
204414.113861369 1
 
1.3%
204413.616574592 1
 
1.3%
204372.245062863 1
 
1.3%
204313.906829097 1
 
1.3%
204297.996892564 1
 
1.3%
204237.202257758 2
2.6%
204199.156989282 3
3.9%
204169.847670316 1
 
1.3%
204166.098619898 1
 
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)66.2%
Missing2
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean461699.09
Minimum459468.17
Maximum464814.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T21:37:39.058774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459468.17
5-th percentile459794.83
Q1460767.38
median461667.51
Q3462194.07
95-th percentile464552.49
Maximum464814.72
Range5346.5477
Interquartile range (IQR)1426.6931

Descriptive statistics

Standard deviation1323.2953
Coefficient of variation (CV)0.0028661424
Kurtosis0.17632958
Mean461699.09
Median Absolute Deviation (MAD)742.30783
Skewness0.67090914
Sum34165733
Variance1751110.5
MonotonicityNot monotonic
2024-04-06T21:37:39.320581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
461791.719629655 6
 
7.9%
461254.349369279 4
 
5.3%
460767.381093697 3
 
3.9%
462364.588628395 3
 
3.9%
461628.997404004 3
 
3.9%
464552.486156478 3
 
3.9%
460124.418353378 2
 
2.6%
462113.860476609 2
 
2.6%
461704.899735837 2
 
2.6%
459468.169735429 2
 
2.6%
Other values (39) 44
57.9%
ValueCountFrequency (%)
459468.169735429 2
2.6%
459746.924430501 1
1.3%
459757.634551893 1
1.3%
459814.853611606 1
1.3%
459912.19974995 1
1.3%
460075.326464966 1
1.3%
460093.406417139 2
2.6%
460124.418353378 2
2.6%
460306.024480373 2
2.6%
460524.018199419 1
1.3%
ValueCountFrequency (%)
464814.717432497 1
 
1.3%
464597.202705501 1
 
1.3%
464552.486156478 3
3.9%
464487.617817484 1
 
1.3%
464463.403607965 1
 
1.3%
463892.861101303 1
 
1.3%
463428.090618911 2
2.6%
463097.692108604 1
 
1.3%
462830.484935873 1
 
1.3%
462502.698810929 1
 
1.3%

위생업태명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
기타식품판매업
65 
<NA>
11 

Length

Max length7
Median length7
Mean length6.5657895
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 65
85.5%
<NA> 11
 
14.5%

Length

2024-04-06T21:37:39.567909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:39.758605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 65
85.5%
na 11
 
14.5%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
58 
0
11 
2
 
3
3
 
3
7
 
1

Length

Max length4
Median length4
Mean length3.2894737
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row7
2nd row<NA>
3rd row0
4th row2
5th row2

Common Values

ValueCountFrequency (%)
<NA> 58
76.3%
0 11
 
14.5%
2 3
 
3.9%
3 3
 
3.9%
7 1
 
1.3%

Length

2024-04-06T21:37:39.969658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:40.187649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
76.3%
0 11
 
14.5%
2 3
 
3.9%
3 3
 
3.9%
7 1
 
1.3%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)33.3%
Missing58
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean2.1666667
Minimum0
Maximum13
Zeros11
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T21:37:40.372597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile7.05
Maximum13
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.4513424
Coefficient of variation (CV)1.5929273
Kurtosis4.8536101
Mean2.1666667
Median Absolute Deviation (MAD)0
Skewness2.0244404
Sum39
Variance11.911765
MonotonicityNot monotonic
2024-04-06T21:37:40.585553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 11
 
14.5%
4 3
 
3.9%
13 1
 
1.3%
5 1
 
1.3%
6 1
 
1.3%
3 1
 
1.3%
(Missing) 58
76.3%
ValueCountFrequency (%)
0 11
14.5%
3 1
 
1.3%
4 3
 
3.9%
5 1
 
1.3%
6 1
 
1.3%
13 1
 
1.3%
ValueCountFrequency (%)
13 1
 
1.3%
6 1
 
1.3%
5 1
 
1.3%
4 3
 
3.9%
3 1
 
1.3%
0 11
14.5%

영업장주변구분명
Categorical

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
58 
아파트지역
9 
기타
6 
주택가주변
 
3

Length

Max length5
Median length4
Mean length4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
76.3%
아파트지역 9
 
11.8%
기타 6
 
7.9%
주택가주변 3
 
3.9%

Length

2024-04-06T21:37:40.887774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:41.134893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
76.3%
아파트지역 9
 
11.8%
기타 6
 
7.9%
주택가주변 3
 
3.9%

등급구분명
Categorical

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
58 
기타
13 
지도
 
3
자율
 
2

Length

Max length4
Median length4
Mean length3.5263158
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
76.3%
기타 13
 
17.1%
지도 3
 
3.9%
자율 2
 
2.6%

Length

2024-04-06T21:37:41.378768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:41.603148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
76.3%
기타 13
 
17.1%
지도 3
 
3.9%
자율 2
 
2.6%

급수시설구분명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
58 
상수도전용
18 

Length

Max length5
Median length4
Mean length4.2368421
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
76.3%
상수도전용 18
 
23.7%

Length

2024-04-06T21:37:41.821403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:42.037985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
76.3%
상수도전용 18
 
23.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
75 
0
 
1

Length

Max length4
Median length4
Mean length3.9605263
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 75
98.7%
0 1
 
1.3%

Length

2024-04-06T21:37:42.303293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:42.519427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
98.7%
0 1
 
1.3%

본사종업원수
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
44 
0
32 

Length

Max length4
Median length4
Mean length2.7368421
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
57.9%
0 32
42.1%

Length

2024-04-06T21:37:42.787722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:43.010213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
57.9%
0 32
42.1%

공장사무직종업원수
Categorical

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
41 
0
32 
1
 
2
3
 
1

Length

Max length4
Median length4
Mean length2.6184211
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
53.9%
0 32
42.1%
1 2
 
2.6%
3 1
 
1.3%

Length

2024-04-06T21:37:43.354561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:43.567308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
53.9%
0 32
42.1%
1 2
 
2.6%
3 1
 
1.3%

공장판매직종업원수
Categorical

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
41 
0
32 
5
 
1
9
 
1
1
 
1

Length

Max length4
Median length4
Mean length2.6184211
Min length1

Unique

Unique3 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
53.9%
0 32
42.1%
5 1
 
1.3%
9 1
 
1.3%
1 1
 
1.3%

Length

2024-04-06T21:37:43.814924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:44.047869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
53.9%
0 32
42.1%
5 1
 
1.3%
9 1
 
1.3%
1 1
 
1.3%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
44 
0
32 

Length

Max length4
Median length4
Mean length2.7368421
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
57.9%
0 32
42.1%

Length

2024-04-06T21:37:44.295014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:44.516652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
57.9%
0 32
42.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
36 
임대
29 
자가
11 

Length

Max length4
Median length2
Mean length2.9473684
Min length2

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> 36
47.4%
임대 29
38.2%
자가 11
 
14.5%

Length

2024-04-06T21:37:44.752877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:45.387108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
47.4%
임대 29
38.2%
자가 11
 
14.5%

보증액
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
64 
0
9 
300000000
 
2
60000000
 
1

Length

Max length9
Median length4
Mean length3.8289474
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
84.2%
0 9
 
11.8%
300000000 2
 
2.6%
60000000 1
 
1.3%

Length

2024-04-06T21:37:45.637309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:45.882007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
84.2%
0 9
 
11.8%
300000000 2
 
2.6%
60000000 1
 
1.3%

월세액
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
64 
0
9 
20000000
 
1
17500000
 
1
4000000
 
1

Length

Max length8
Median length4
Mean length3.7894737
Min length1

Unique

Unique3 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
84.2%
0 9
 
11.8%
20000000 1
 
1.3%
17500000 1
 
1.3%
4000000 1
 
1.3%

Length

2024-04-06T21:37:46.107829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:37:46.316957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
84.2%
0 9
 
11.8%
20000000 1
 
1.3%
17500000 1
 
1.3%
4000000 1
 
1.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.5%
Missing11
Missing (%)14.5%
Memory size284.0 B
False
65 
(Missing)
11 
ValueCountFrequency (%)
False 65
85.5%
(Missing) 11
 
14.5%
2024-04-06T21:37:46.475873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)16.9%
Missing11
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean116.1
Minimum0
Maximum2790
Zeros55
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T21:37:46.611206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile660
Maximum2790
Range2790
Interquartile range (IQR)0

Descriptive statistics

Standard deviation392.30147
Coefficient of variation (CV)3.3789963
Kurtosis34.528729
Mean116.1
Median Absolute Deviation (MAD)0
Skewness5.4117181
Sum7546.5
Variance153900.45
MonotonicityNot monotonic
2024-04-06T21:37:46.791871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 55
72.4%
2790.0 1
 
1.3%
759.0 1
 
1.3%
690.0 1
 
1.3%
972.0 1
 
1.3%
325.0 1
 
1.3%
313.5 1
 
1.3%
430.0 1
 
1.3%
359.0 1
 
1.3%
540.0 1
 
1.3%
(Missing) 11
 
14.5%
ValueCountFrequency (%)
0.0 55
72.4%
313.5 1
 
1.3%
325.0 1
 
1.3%
359.0 1
 
1.3%
368.0 1
 
1.3%
430.0 1
 
1.3%
540.0 1
 
1.3%
690.0 1
 
1.3%
759.0 1
 
1.3%
972.0 1
 
1.3%
ValueCountFrequency (%)
2790.0 1
1.3%
972.0 1
1.3%
759.0 1
1.3%
690.0 1
1.3%
540.0 1
1.3%
430.0 1
1.3%
368.0 1
1.3%
359.0 1
1.3%
325.0 1
1.3%
313.5 1
1.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030900003090000-114-1993-0021619931109<NA>1영업/정상1영업<NA><NA><NA><NA>02 90112347,490.73132904서울특별시 도봉구 창동 135-26서울특별시 도봉구 노해로65길 4 (창동)1405(주)이마트2020-04-21 15:21:24U2020-04-23 02:40:00.0기타식품판매업204107.090272461072.642449기타식품판매업713기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
130900003090000-114-1996-002141996-05-08<NA>1영업/정상1영업<NA><NA><NA><NA>0234914297475.17132-828서울특별시 도봉구 방학동 271-2서울특별시 도봉구 방학로 223 (방학동)1362롯데쇼핑(주)롯데슈퍼 방학점2023-05-19 10:56:56U2022-12-04 22:01:00.0기타식품판매업202326.17576462116.408564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
230900003090000-114-1996-0021519960624<NA>1영업/정상1영업<NA><NA><NA><NA>02 9568884599.41132020서울특별시 도봉구 방학동 734 청구상가 지층서울특별시 도봉구 해등로 268 (방학동, 청구상가 지층)1363럭키마트2016-08-25 16:44:48I2018-08-31 23:59:59.0기타식품판매업202237.410411461736.71535기타식품판매업00아파트지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330900003090000-114-1996-0021719960626<NA>3폐업2폐업20020527<NA><NA><NA>02 9995824418.25132872서울특별시 도봉구 쌍문동 215-1 지하동 1층호<NA><NA>(주)덕영상사영일공판장1999-08-10 00:00:00I2018-08-31 23:59:59.0기타식품판매업202807.230908461791.71963기타식품판매업25아파트지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430900003090000-114-1996-0021819960628<NA>1영업/정상1영업<NA><NA><NA><NA>02 9567334315.00132848서울특별시 도봉구 방학동 662-26서울특별시 도봉구 도당로 75 (방학동)1356주식회사 세계로마트2011-03-22 15:38:50I2018-08-31 23:59:59.0기타식품판매업203055.626025462502.698811기타식품판매업24주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530900003090000-114-1996-0022019960628<NA>3폐업2폐업20010724<NA><NA><NA>02 9992473395.60132893서울특별시 도봉구 쌍문동 648-0<NA><NA>(주)광화유통2001-07-24 00:00:00I2018-08-31 23:59:59.0기타식품판매업203287.120412461538.686169기타식품판매업24주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630900003090000-114-1996-0022219960306<NA>3폐업2폐업20060209<NA><NA><NA>0234915000712.60132851서울특별시 도봉구 방학동 695-8<NA><NA>(주)삼원마트2001-07-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업203104.375372462460.66415기타식품판매업00주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730900003090000-114-1996-0028919961218<NA>3폐업2폐업20030219<NA><NA><NA>02 9075811408.16132910서울특별시 도봉구 창동 347-4 주공3단지 상가동 지층호<NA><NA>진성유통 할인매장1999-04-21 00:00:00I2018-08-31 23:59:59.0기타식품판매업203794.927271460699.794608기타식품판매업34아파트지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830900003090000-114-1996-0029119960624<NA>3폐업2폐업19991230<NA><NA><NA>02 9929601345.10132861서울특별시 도봉구 쌍문동 59-0 한양상가 지층1호<NA><NA>(주)세반유통1999-12-31 00:00:00I2018-08-31 23:59:59.0기타식품판매업202694.452137461628.997404기타식품판매업<NA><NA>아파트지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930900003090000-114-1996-0041319960625<NA>3폐업2폐업20061102<NA><NA><NA>02 9950488388.30132040서울특별시 도봉구 창동 27-0 주공19단지내상가<NA><NA>(주)해태유통 노원점2006-02-09 00:00:00I2018-08-31 23:59:59.0기타식품판매업204414.113861460766.427104기타식품판매업36아파트지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
6630900003090000-114-2018-0000220180625<NA>3폐업2폐업20200427<NA><NA><NA><NA>305.67132819서울특별시 도봉구 도봉동 596-9 퍼스트빌오피스텔서울특별시 도봉구 도봉로165길 14, 1층 (도봉동, 퍼스트빌오피스텔)1307하이농축산마트2020-04-27 16:23:56U2020-04-29 02:40:00.0기타식품판매업203820.343026463892.861101기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
6730900003090000-114-2018-0000320180705<NA>3폐업2폐업20190515<NA><NA><NA>02 908 6001403.74132872서울특별시 도봉구 쌍문동 215-1 지층 1,3,5,12, 15~17,20~23,26~30-1호서울특별시 도봉구 해등로26길 7, 지층 1,3,5,12,15~17,20~23,26~30-1호 (쌍문동)1387이온마트2019-05-15 17:11:12U2019-05-17 02:40:00.0기타식품판매업202807.230908461791.71963기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
6830900003090000-114-2018-0000420180928<NA>1영업/정상1영업<NA><NA><NA><NA>02 9557313531.86132801서울특별시 도봉구 도봉동 62-1 104~109,B105호서울특별시 도봉구 도봉로180길 38, 104~109,B105호 (도봉동)1320(주)이마트에브리데이도봉점2021-04-15 15:52:52U2021-04-17 02:40:00.0기타식품판매업204166.09862464463.403608기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
6930900003090000-114-2018-000052018-10-05<NA>1영업/정상1영업<NA><NA><NA><NA>02 9550671463.40132-854서울특별시 도봉구 방학동 713-14 나동서울특별시 도봉구 마들로 599, 나동 1층 (방학동)1335(주)대한식자재마트방학2024-01-02 16:12:39U2023-12-01 00:04:00.0기타식품판매업204006.859776462364.588628<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7030900003090000-114-2018-0000620181231<NA>3폐업2폐업20201027<NA><NA><NA><NA>1,209.73132896서울특별시 도봉구 쌍문동 711 금강아미움파크타운 지하1층서울특별시 도봉구 방학로5길 33, 지하1층 (쌍문동, 금강아미움파크타운)1391금강식자재마트2020-10-26 15:42:45U2020-10-28 02:40:00.0기타식품판매업203296.164642462113.860477기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
7130900003090000-114-2019-0000120190517<NA>1영업/정상1영업<NA><NA><NA><NA>02 9980031335.83132872서울특별시 도봉구 쌍문동 215-1 지층, 1~3,5,7,9,11,13~16,18,20~23,25~29호서울특별시 도봉구 해등로26길 7, 지층, 1~3,5,7,9,11,13~16,18,20~23,25~29호 (쌍문동)1387홈마트2021-06-15 14:35:50U2021-06-17 02:40:00.0기타식품판매업202807.230908461791.71963기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
7230900003090000-114-2019-0000220190722<NA>1영업/정상1영업<NA><NA><NA><NA><NA>339.44132800서울특별시 도봉구 도봉동 30-1 도봉한신아파트 상가1동 지층 1호,16호서울특별시 도봉구 도봉로180나길 41, 도봉한신아파트 상가1동 지층 1호,16호 (도봉동)1318주식회사 만인유통2019-07-22 12:09:19I2019-07-24 02:21:44.0기타식품판매업204169.84767464814.717432기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
7330900003090000-114-2020-0000120200818<NA>1영업/정상1영업<NA><NA><NA><NA><NA>314.50132896서울특별시 도봉구 쌍문동 711 금강아미움파크타운 114~1호서울특별시 도봉구 방학로5길 33, 1층 114~120, 123~126호 (쌍문동, 금강아미움파크타운)1391용호식자재마트2020-08-18 16:01:11I2020-08-20 00:23:13.0기타식품판매업203296.164642462113.860477기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
7430900003090000-114-2023-000012023-05-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>660.43132-040서울특별시 도봉구 창동 27-3 주공아파트서울특별시 도봉구 노해로70길 46, 주공19단지종합상가 지층 19호 (창동)1417진로마트2023-05-16 15:54:27I2022-12-04 23:08:00.0기타식품판매업204468.657003460879.972975<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7530900003090000-114-2024-000012024-03-05<NA>1영업/정상1영업<NA><NA><NA><NA>02 3805894697.47132-898서울특별시 도봉구 창동 1-28 씨드큐브 창동서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 B119-2, B103-4호 (창동)1413(주)이마트에브리데이 창동씨드큐브점2024-03-05 16:46:15I2023-12-03 00:07:00.0기타식품판매업204313.906829461347.878668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>