Overview

Dataset statistics

Number of variables44
Number of observations1849
Missing cells20103
Missing cells (%)24.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory679.1 KiB
Average record size in memory376.1 B

Variable types

Categorical21
Text7
DateTime4
Unsupported7
Numeric4
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-18236/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
급수시설구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업상태코드 is highly imbalanced (58.3%)Imbalance
영업상태명 is highly imbalanced (58.3%)Imbalance
상세영업상태코드 is highly imbalanced (58.3%)Imbalance
상세영업상태명 is highly imbalanced (58.3%)Imbalance
데이터갱신구분 is highly imbalanced (53.4%)Imbalance
위생업태명 is highly imbalanced (75.5%)Imbalance
남성종사자수 is highly imbalanced (74.1%)Imbalance
여성종사자수 is highly imbalanced (74.3%)Imbalance
영업장주변구분명 is highly imbalanced (58.3%)Imbalance
등급구분명 is highly imbalanced (57.0%)Imbalance
총인원 is highly imbalanced (92.5%)Imbalance
시설총규모 is highly imbalanced (88.4%)Imbalance
인허가취소일자 has 1849 (100.0%) missing valuesMissing
폐업일자 has 156 (8.4%) missing valuesMissing
휴업시작일자 has 1849 (100.0%) missing valuesMissing
휴업종료일자 has 1849 (100.0%) missing valuesMissing
재개업일자 has 1849 (100.0%) missing valuesMissing
전화번호 has 337 (18.2%) missing valuesMissing
소재지면적 has 1673 (90.5%) missing valuesMissing
도로명주소 has 1418 (76.7%) missing valuesMissing
도로명우편번호 has 1426 (77.1%) missing valuesMissing
좌표정보(X) has 113 (6.1%) missing valuesMissing
좌표정보(Y) has 113 (6.1%) missing valuesMissing
급수시설구분명 has 1847 (99.9%) missing valuesMissing
다중이용업소여부 has 75 (4.1%) missing valuesMissing
전통업소지정번호 has 1849 (100.0%) missing valuesMissing
전통업소주된음식 has 1849 (100.0%) missing valuesMissing
홈페이지 has 1849 (100.0%) missing valuesMissing
관리번호 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
소재지면적 has 58 (3.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:47:31.039639
Analysis finished2024-05-11 06:47:32.878234
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
3090000
1849 

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 1849
100.0%

Length

2024-05-11T15:47:33.012894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:33.201741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 1849
100.0%

관리번호
Text

UNIQUE 

Distinct1849
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
2024-05-11T15:47:33.530928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters40678
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

Unique1849 ?
Unique (%)100.0%

Sample

1st row3090000-112-1972-00150
2nd row3090000-112-1977-00025
3rd row3090000-112-1983-00022
4th row3090000-112-1983-00030
5th row3090000-112-1983-00034
ValueCountFrequency (%)
3090000-112-1972-00150 1
 
0.1%
3090000-112-2003-00030 1
 
0.1%
3090000-112-2003-00028 1
 
0.1%
3090000-112-2003-00027 1
 
0.1%
3090000-112-2003-00026 1
 
0.1%
3090000-112-2003-00025 1
 
0.1%
3090000-112-2003-00024 1
 
0.1%
3090000-112-2003-00023 1
 
0.1%
3090000-112-2003-00022 1
 
0.1%
3090000-112-2003-00021 1
 
0.1%
Other values (1839) 1839
99.5%
2024-05-11T15:47:34.098534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15977
39.3%
1 5905
 
14.5%
- 5547
 
13.6%
9 4051
 
10.0%
2 3700
 
9.1%
3 2493
 
6.1%
5 745
 
1.8%
4 606
 
1.5%
8 560
 
1.4%
6 551
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35131
86.4%
Dash Punctuation 5547
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15977
45.5%
1 5905
 
16.8%
9 4051
 
11.5%
2 3700
 
10.5%
3 2493
 
7.1%
5 745
 
2.1%
4 606
 
1.7%
8 560
 
1.6%
6 551
 
1.6%
7 543
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 5547
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40678
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15977
39.3%
1 5905
 
14.5%
- 5547
 
13.6%
9 4051
 
10.0%
2 3700
 
9.1%
3 2493
 
6.1%
5 745
 
1.8%
4 606
 
1.5%
8 560
 
1.4%
6 551
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15977
39.3%
1 5905
 
14.5%
- 5547
 
13.6%
9 4051
 
10.0%
2 3700
 
9.1%
3 2493
 
6.1%
5 745
 
1.8%
4 606
 
1.5%
8 560
 
1.4%
6 551
 
1.4%

인허가일자
Date

Distinct1166
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
Minimum1972-01-30 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T15:47:34.720045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:35.027474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1849
Missing (%)100.0%
Memory size16.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
3
1693 
1
 
156

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1693
91.6%
1 156
 
8.4%

Length

2024-05-11T15:47:35.278043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:35.458059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1693
91.6%
1 156
 
8.4%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
폐업
1693 
영업/정상
 
156

Length

Max length5
Median length2
Mean length2.2531098
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1693
91.6%
영업/정상 156
 
8.4%

Length

2024-05-11T15:47:35.631489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:35.795923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1693
91.6%
영업/정상 156
 
8.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
2
1693 
1
 
156

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1693
91.6%
1 156
 
8.4%

Length

2024-05-11T15:47:35.957317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:36.125061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1693
91.6%
1 156
 
8.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
폐업
1693 
영업
 
156

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1693
91.6%
영업 156
 
8.4%

Length

2024-05-11T15:47:36.306683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:36.474273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1693
91.6%
영업 156
 
8.4%

폐업일자
Date

MISSING 

Distinct1160
Distinct (%)68.5%
Missing156
Missing (%)8.4%
Memory size14.6 KiB
Minimum1988-01-11 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T15:47:36.680040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:36.933337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1849
Missing (%)100.0%
Memory size16.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1849
Missing (%)100.0%
Memory size16.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1849
Missing (%)100.0%
Memory size16.4 KiB

전화번호
Text

MISSING 

Distinct1176
Distinct (%)77.8%
Missing337
Missing (%)18.2%
Memory size14.6 KiB
2024-05-11T15:47:37.345811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.9616402
Min length2

Characters and Unicode

Total characters13550
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

Unique1099 ?
Unique (%)72.7%

Sample

1st row02
2nd row0200000000
3rd row02
4th row02
5th row02
ValueCountFrequency (%)
02 1142
44.9%
0200000000 33
 
1.3%
9010804 16
 
0.6%
0234996000 8
 
0.3%
0232728988 8
 
0.3%
956 7
 
0.3%
900 7
 
0.3%
999 5
 
0.2%
8730556 5
 
0.2%
998 5
 
0.2%
Other values (1194) 1309
51.4%
2024-05-11T15:47:37.880323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2775
20.5%
2 2148
15.9%
9 2105
15.5%
1112
8.2%
4 935
 
6.9%
3 925
 
6.8%
5 907
 
6.7%
1 742
 
5.5%
6 680
 
5.0%
8 616
 
4.5%
Other values (2) 605
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12435
91.8%
Space Separator 1112
 
8.2%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2775
22.3%
2 2148
17.3%
9 2105
16.9%
4 935
 
7.5%
3 925
 
7.4%
5 907
 
7.3%
1 742
 
6.0%
6 680
 
5.5%
8 616
 
5.0%
7 602
 
4.8%
Space Separator
ValueCountFrequency (%)
1112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13550
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2775
20.5%
2 2148
15.9%
9 2105
15.5%
1112
8.2%
4 935
 
6.9%
3 925
 
6.8%
5 907
 
6.7%
1 742
 
5.5%
6 680
 
5.0%
8 616
 
4.5%
Other values (2) 605
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2775
20.5%
2 2148
15.9%
9 2105
15.5%
1112
8.2%
4 935
 
6.9%
3 925
 
6.8%
5 907
 
6.7%
1 742
 
5.5%
6 680
 
5.0%
8 616
 
4.5%
Other values (2) 605
 
4.5%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)27.8%
Missing1673
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean7.4584091
Minimum0
Maximum67.09
Zeros58
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size16.4 KiB
2024-05-11T15:47:38.075099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q33.6
95-th percentile33.5125
Maximum67.09
Range67.09
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation12.398305
Coefficient of variation (CV)1.6623256
Kurtosis4.4432062
Mean7.4584091
Median Absolute Deviation (MAD)3
Skewness2.11805
Sum1312.68
Variance153.71796
MonotonicityNot monotonic
2024-05-11T15:47:38.282379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 58
 
3.1%
3.0 26
 
1.4%
3.3 19
 
1.0%
1.0 16
 
0.9%
2.0 4
 
0.2%
3.6 3
 
0.2%
2.4 3
 
0.2%
1.65 2
 
0.1%
6.6 2
 
0.1%
16.5 2
 
0.1%
Other values (39) 41
 
2.2%
(Missing) 1673
90.5%
ValueCountFrequency (%)
0.0 58
3.1%
0.8 1
 
0.1%
1.0 16
 
0.9%
1.5 1
 
0.1%
1.65 2
 
0.1%
2.0 4
 
0.2%
2.4 3
 
0.2%
3.0 26
1.4%
3.3 19
 
1.0%
3.6 3
 
0.2%
ValueCountFrequency (%)
67.09 1
0.1%
59.0 1
0.1%
39.2 1
0.1%
39.0 1
0.1%
38.74 1
0.1%
37.8 2
0.1%
36.0 1
0.1%
34.0 1
0.1%
33.35 1
0.1%
33.11 1
0.1%

소재지우편번호
Text

Distinct161
Distinct (%)8.7%
Missing1
Missing (%)0.1%
Memory size14.6 KiB
2024-05-11T15:47:38.706311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0265152
Min length6

Characters and Unicode

Total characters11137
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

Unique30 ?
Unique (%)1.6%

Sample

1st row132801
2nd row132800
3rd row132801
4th row132020
5th row132020
ValueCountFrequency (%)
132898 90
 
4.9%
132854 67
 
3.6%
132924 55
 
3.0%
132904 48
 
2.6%
132917 44
 
2.4%
132820 44
 
2.4%
132864 44
 
2.4%
132908 38
 
2.1%
132926 38
 
2.1%
132822 37
 
2.0%
Other values (151) 1343
72.7%
2024-05-11T15:47:39.315411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2375
21.3%
1 2268
20.4%
3 2079
18.7%
8 1537
13.8%
9 960
8.6%
0 603
 
5.4%
4 434
 
3.9%
6 346
 
3.1%
5 328
 
2.9%
7 158
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11088
99.6%
Dash Punctuation 49
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2375
21.4%
1 2268
20.5%
3 2079
18.8%
8 1537
13.9%
9 960
8.7%
0 603
 
5.4%
4 434
 
3.9%
6 346
 
3.1%
5 328
 
3.0%
7 158
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2375
21.3%
1 2268
20.4%
3 2079
18.7%
8 1537
13.8%
9 960
8.6%
0 603
 
5.4%
4 434
 
3.9%
6 346
 
3.1%
5 328
 
2.9%
7 158
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2375
21.3%
1 2268
20.4%
3 2079
18.7%
8 1537
13.8%
9 960
8.6%
0 603
 
5.4%
4 434
 
3.9%
6 346
 
3.1%
5 328
 
2.9%
7 158
 
1.4%

지번주소
Text

Distinct1491
Distinct (%)80.7%
Missing1
Missing (%)0.1%
Memory size14.6 KiB
2024-05-11T15:47:39.820643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length22.152056
Min length15

Characters and Unicode

Total characters40937
Distinct characters285
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1256 ?
Unique (%)68.0%

Sample

1st row서울특별시 도봉구 도봉동 63-7
2nd row서울특별시 도봉구 도봉동 30-1
3rd row서울특별시 도봉구 도봉동 61-2
4th row서울특별시 도봉구 방학동 7-0
5th row서울특별시 도봉구 방학동 7-0
ValueCountFrequency (%)
서울특별시 1848
22.3%
도봉구 1848
22.3%
창동 709
 
8.5%
쌍문동 423
 
5.1%
방학동 412
 
5.0%
도봉동 305
 
3.7%
0000동 107
 
1.3%
0000호 107
 
1.3%
1층 70
 
0.8%
1-10 21
 
0.3%
Other values (1623) 2443
29.5%
2024-05-11T15:47:40.547164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8081
19.7%
도 2206
 
5.4%
봉 2191
 
5.4%
동 2043
 
5.0%
서 1870
 
4.6%
구 1863
 
4.6%
울 1854
 
4.5%
시 1853
 
4.5%
특 1848
 
4.5%
별 1848
 
4.5%
Other values (275) 15280
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22038
53.8%
Decimal Number 9094
22.2%
Space Separator 8081
 
19.7%
Dash Punctuation 1601
 
3.9%
Uppercase Letter 48
 
0.1%
Other Punctuation 23
 
0.1%
Close Punctuation 22
 
0.1%
Open Punctuation 22
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2206
10.0%
봉 2191
9.9%
동 2043
9.3%
서 1870
8.5%
구 1863
8.5%
울 1854
8.4%
시 1853
8.4%
특 1848
8.4%
별 1848
8.4%
창 737
 
3.3%
Other values (237) 3725
16.9%
Uppercase Letter
ValueCountFrequency (%)
A 9
18.8%
B 7
14.6%
T 6
12.5%
D 5
10.4%
P 5
10.4%
E 4
8.3%
S 4
8.3%
R 2
 
4.2%
K 2
 
4.2%
M 1
 
2.1%
Other values (3) 3
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 1665
18.3%
1 1438
15.8%
6 1110
12.2%
2 919
10.1%
3 909
10.0%
5 831
9.1%
7 663
 
7.3%
4 653
 
7.2%
8 505
 
5.6%
9 401
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
s 1
16.7%
e 1
16.7%
t 1
16.7%
p 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 10
43.5%
@ 8
34.8%
/ 4
 
17.4%
. 1
 
4.3%
Space Separator
ValueCountFrequency (%)
8081
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1601
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22039
53.8%
Common 18844
46.0%
Latin 54
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2206
10.0%
봉 2191
9.9%
동 2043
9.3%
서 1870
8.5%
구 1863
8.5%
울 1854
8.4%
시 1853
8.4%
특 1848
8.4%
별 1848
8.4%
창 737
 
3.3%
Other values (238) 3726
16.9%
Common
ValueCountFrequency (%)
8081
42.9%
0 1665
 
8.8%
- 1601
 
8.5%
1 1438
 
7.6%
6 1110
 
5.9%
2 919
 
4.9%
3 909
 
4.8%
5 831
 
4.4%
7 663
 
3.5%
4 653
 
3.5%
Other values (9) 974
 
5.2%
Latin
ValueCountFrequency (%)
A 9
16.7%
B 7
13.0%
T 6
11.1%
D 5
9.3%
P 5
9.3%
E 4
7.4%
S 4
7.4%
R 2
 
3.7%
a 2
 
3.7%
K 2
 
3.7%
Other values (8) 8
14.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22038
53.8%
ASCII 18898
46.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8081
42.8%
0 1665
 
8.8%
- 1601
 
8.5%
1 1438
 
7.6%
6 1110
 
5.9%
2 919
 
4.9%
3 909
 
4.8%
5 831
 
4.4%
7 663
 
3.5%
4 653
 
3.5%
Other values (27) 1028
 
5.4%
Hangul
ValueCountFrequency (%)
도 2206
10.0%
봉 2191
9.9%
동 2043
9.3%
서 1870
8.5%
구 1863
8.5%
울 1854
8.4%
시 1853
8.4%
특 1848
8.4%
별 1848
8.4%
창 737
 
3.3%
Other values (237) 3725
16.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명주소
Text

MISSING 

Distinct410
Distinct (%)95.1%
Missing1418
Missing (%)76.7%
Memory size14.6 KiB
2024-05-11T15:47:40.973244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length29.719258
Min length21

Characters and Unicode

Total characters12809
Distinct characters220
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique391 ?
Unique (%)90.7%

Sample

1st row서울특별시 도봉구 도봉산길 73 (도봉동, 다동45)
2nd row서울특별시 도봉구 덕릉로54길 29 (창동,1층)
3rd row서울특별시 도봉구 덕릉로59길 40 (창동)
4th row서울특별시 도봉구 노해로 269 (창동)
5th row서울특별시 도봉구 도당로15길 43, 0000동 0000호 (방학동)
ValueCountFrequency (%)
서울특별시 431
 
16.9%
도봉구 431
 
16.9%
창동 147
 
5.8%
방학동 103
 
4.1%
1층 85
 
3.3%
쌍문동 74
 
2.9%
도봉동 62
 
2.4%
도봉로 43
 
1.7%
마들로 32
 
1.3%
해등로 22
 
0.9%
Other values (566) 1113
43.8%
2024-05-11T15:47:41.644338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2113
 
16.5%
도 692
 
5.4%
봉 680
 
5.3%
1 562
 
4.4%
동 499
 
3.9%
시 462
 
3.6%
서 445
 
3.5%
구 435
 
3.4%
울 434
 
3.4%
) 433
 
3.4%
Other values (210) 6054
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7406
57.8%
Space Separator 2113
 
16.5%
Decimal Number 2099
 
16.4%
Close Punctuation 433
 
3.4%
Open Punctuation 433
 
3.4%
Other Punctuation 265
 
2.1%
Dash Punctuation 42
 
0.3%
Uppercase Letter 13
 
0.1%
Lowercase Letter 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 692
 
9.3%
봉 680
 
9.2%
동 499
 
6.7%
시 462
 
6.2%
서 445
 
6.0%
구 435
 
5.9%
울 434
 
5.9%
별 431
 
5.8%
특 431
 
5.8%
로 423
 
5.7%
Other values (181) 2474
33.4%
Decimal Number
ValueCountFrequency (%)
1 562
26.8%
0 236
11.2%
3 203
 
9.7%
2 201
 
9.6%
6 196
 
9.3%
5 180
 
8.6%
4 166
 
7.9%
7 130
 
6.2%
8 117
 
5.6%
9 108
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
23.1%
S 2
15.4%
A 2
15.4%
E 1
 
7.7%
M 1
 
7.7%
K 1
 
7.7%
R 1
 
7.7%
T 1
 
7.7%
G 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
s 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
2113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 433
100.0%
Open Punctuation
ValueCountFrequency (%)
( 433
100.0%
Other Punctuation
ValueCountFrequency (%)
, 265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7407
57.8%
Common 5386
42.0%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 692
 
9.3%
봉 680
 
9.2%
동 499
 
6.7%
시 462
 
6.2%
서 445
 
6.0%
구 435
 
5.9%
울 434
 
5.9%
별 431
 
5.8%
특 431
 
5.8%
로 423
 
5.7%
Other values (182) 2475
33.4%
Common
ValueCountFrequency (%)
2113
39.2%
1 562
 
10.4%
) 433
 
8.0%
( 433
 
8.0%
, 265
 
4.9%
0 236
 
4.4%
3 203
 
3.8%
2 201
 
3.7%
6 196
 
3.6%
5 180
 
3.3%
Other values (6) 564
 
10.5%
Latin
ValueCountFrequency (%)
B 3
18.8%
S 2
12.5%
A 2
12.5%
E 1
 
6.2%
M 1
 
6.2%
K 1
 
6.2%
R 1
 
6.2%
T 1
 
6.2%
G 1
 
6.2%
a 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7406
57.8%
ASCII 5402
42.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2113
39.1%
1 562
 
10.4%
) 433
 
8.0%
( 433
 
8.0%
, 265
 
4.9%
0 236
 
4.4%
3 203
 
3.8%
2 201
 
3.7%
6 196
 
3.6%
5 180
 
3.3%
Other values (18) 580
 
10.7%
Hangul
ValueCountFrequency (%)
도 692
 
9.3%
봉 680
 
9.2%
동 499
 
6.7%
시 462
 
6.2%
서 445
 
6.0%
구 435
 
5.9%
울 434
 
5.9%
별 431
 
5.8%
특 431
 
5.8%
로 423
 
5.7%
Other values (181) 2474
33.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct148
Distinct (%)35.0%
Missing1426
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean1390.6879
Minimum1300
Maximum1489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.4 KiB
2024-05-11T15:47:41.902198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1300
5-th percentile1307
Q11342
median1393
Q31434
95-th percentile1477.9
Maximum1489
Range189
Interquartile range (IQR)92

Descriptive statistics

Standard deviation55.013846
Coefficient of variation (CV)0.039558728
Kurtosis-1.2255148
Mean1390.6879
Median Absolute Deviation (MAD)50
Skewness0.026079432
Sum588261
Variance3026.5232
MonotonicityNot monotonic
2024-05-11T15:47:42.123782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1414 13
 
0.7%
1405 10
 
0.5%
1454 9
 
0.5%
1427 8
 
0.4%
1368 7
 
0.4%
1455 7
 
0.4%
1318 7
 
0.4%
1342 7
 
0.4%
1332 7
 
0.4%
1304 7
 
0.4%
Other values (138) 341
 
18.4%
(Missing) 1426
77.1%
ValueCountFrequency (%)
1300 5
0.3%
1301 3
0.2%
1302 1
 
0.1%
1303 1
 
0.1%
1304 7
0.4%
1305 4
0.2%
1307 2
 
0.1%
1308 2
 
0.1%
1309 3
0.2%
1310 3
0.2%
ValueCountFrequency (%)
1489 3
0.2%
1488 1
 
0.1%
1487 2
0.1%
1486 1
 
0.1%
1485 1
 
0.1%
1484 2
0.1%
1483 1
 
0.1%
1481 4
0.2%
1480 2
0.1%
1479 3
0.2%

사업장명
Text

Distinct1567
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
2024-05-11T15:47:42.595173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length5.6868578
Min length2

Characters and Unicode

Total characters10515
Distinct characters600
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1398 ?
Unique (%)75.6%

Sample

1st row맛나식당
2nd row삼양식품공업-자
3rd row김광구
4th row미원새마을금고
5th row미원새마을금고
ValueCountFrequency (%)
도봉구청 18
 
0.9%
한국마사회 17
 
0.8%
홍익회 12
 
0.6%
씨유 11
 
0.5%
gs25 11
 
0.5%
한일병원 9
 
0.4%
자판기 9
 
0.4%
이마트24 8
 
0.4%
농협창동물류센타 7
 
0.3%
덕성여대 7
 
0.3%
Other values (1706) 1994
94.8%
2024-05-11T15:47:43.237288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
263
 
2.5%
동 240
 
2.3%
퍼 200
 
1.9%
점 188
 
1.8%
슈 181
 
1.7%
마 176
 
1.7%
도 159
 
1.5%
문 138
 
1.3%
창 135
 
1.3%
트 135
 
1.3%
Other values (590) 8700
82.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9661
91.9%
Space Separator 263
 
2.5%
Decimal Number 214
 
2.0%
Uppercase Letter 166
 
1.6%
Close Punctuation 80
 
0.8%
Open Punctuation 78
 
0.7%
Lowercase Letter 36
 
0.3%
Other Punctuation 13
 
0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 240
 
2.5%
퍼 200
 
2.1%
점 188
 
1.9%
슈 181
 
1.9%
마 176
 
1.8%
도 159
 
1.6%
문 138
 
1.4%
창 135
 
1.4%
트 135
 
1.4%
봉 133
 
1.4%
Other values (538) 7976
82.6%
Uppercase Letter
ValueCountFrequency (%)
C 37
22.3%
S 32
19.3%
G 28
16.9%
U 19
11.4%
P 18
10.8%
K 8
 
4.8%
T 4
 
2.4%
I 3
 
1.8%
B 3
 
1.8%
N 3
 
1.8%
Other values (8) 11
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
e 8
22.2%
l 5
13.9%
c 5
13.9%
f 4
11.1%
s 3
 
8.3%
h 2
 
5.6%
a 2
 
5.6%
p 2
 
5.6%
m 1
 
2.8%
o 1
 
2.8%
Other values (3) 3
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 75
35.0%
4 44
20.6%
5 32
15.0%
1 25
 
11.7%
3 11
 
5.1%
0 10
 
4.7%
7 9
 
4.2%
6 4
 
1.9%
9 3
 
1.4%
8 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 5
38.5%
& 3
23.1%
@ 2
 
15.4%
% 1
 
7.7%
? 1
 
7.7%
, 1
 
7.7%
Space Separator
ValueCountFrequency (%)
263
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9661
91.9%
Common 652
 
6.2%
Latin 202
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 240
 
2.5%
퍼 200
 
2.1%
점 188
 
1.9%
슈 181
 
1.9%
마 176
 
1.8%
도 159
 
1.6%
문 138
 
1.4%
창 135
 
1.4%
트 135
 
1.4%
봉 133
 
1.4%
Other values (538) 7976
82.6%
Latin
ValueCountFrequency (%)
C 37
18.3%
S 32
15.8%
G 28
13.9%
U 19
9.4%
P 18
8.9%
e 8
 
4.0%
K 8
 
4.0%
l 5
 
2.5%
c 5
 
2.5%
f 4
 
2.0%
Other values (21) 38
18.8%
Common
ValueCountFrequency (%)
263
40.3%
) 80
 
12.3%
( 78
 
12.0%
2 75
 
11.5%
4 44
 
6.7%
5 32
 
4.9%
1 25
 
3.8%
3 11
 
1.7%
0 10
 
1.5%
7 9
 
1.4%
Other values (11) 25
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9661
91.9%
ASCII 854
 
8.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
263
30.8%
) 80
 
9.4%
( 78
 
9.1%
2 75
 
8.8%
4 44
 
5.2%
C 37
 
4.3%
S 32
 
3.7%
5 32
 
3.7%
G 28
 
3.3%
1 25
 
2.9%
Other values (42) 160
18.7%
Hangul
ValueCountFrequency (%)
동 240
 
2.5%
퍼 200
 
2.1%
점 188
 
1.9%
슈 181
 
1.9%
마 176
 
1.8%
도 159
 
1.6%
문 138
 
1.4%
창 135
 
1.4%
트 135
 
1.4%
봉 133
 
1.4%
Other values (538) 7976
82.6%

최종수정일자
Date

Distinct950
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
Minimum1999-05-24 00:00:00
Maximum2024-04-26 11:27:09
2024-05-11T15:47:43.418079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:43.597086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
I
1666 
U
183 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1666
90.1%
U 183
 
9.9%

Length

2024-05-11T15:47:43.822966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:43.999454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1666
90.1%
u 183
 
9.9%

데이터갱신일자
Date

Distinct183
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-11T15:47:44.188012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:44.375868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
식품자동판매기영업
1849 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 1849
100.0%

Length

2024-05-11T15:47:44.540714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:44.665594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 1849
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1124
Distinct (%)64.7%
Missing113
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean203339.4
Minimum201074.81
Maximum204641.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.4 KiB
2024-05-11T15:47:44.791096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201074.81
5-th percentile202064.28
Q1202973.33
median203381.7
Q3203831.24
95-th percentile204321.44
Maximum204641.87
Range3567.062
Interquartile range (IQR)857.91368

Descriptive statistics

Standard deviation695.1346
Coefficient of variation (CV)0.0034185928
Kurtosis1.2163827
Mean203339.4
Median Absolute Deviation (MAD)426.36478
Skewness-0.90433112
Sum3.529972 × 108
Variance483212.11
MonotonicityNot monotonic
2024-05-11T15:47:45.253155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204413.616574592 21
 
1.1%
204290.372418121 18
 
1.0%
204138.204768094 11
 
0.6%
204086.050996173 10
 
0.5%
202466.119176743 9
 
0.5%
201393.038238284 9
 
0.5%
203339.125815076 9
 
0.5%
203023.886822597 8
 
0.4%
204345.826664906 7
 
0.4%
204199.156989282 7
 
0.4%
Other values (1114) 1627
88.0%
(Missing) 113
 
6.1%
ValueCountFrequency (%)
201074.810273469 6
0.3%
201080.934192453 1
 
0.1%
201081.915285607 1
 
0.1%
201089.214210098 1
 
0.1%
201095.903057318 1
 
0.1%
201103.54012205 1
 
0.1%
201104.585304581 1
 
0.1%
201111.814808903 2
 
0.1%
201121.999377643 1
 
0.1%
201134.272848745 2
 
0.1%
ValueCountFrequency (%)
204641.872260793 1
0.1%
204623.018873403 1
0.1%
204582.338677684 2
0.1%
204534.405989157 1
0.1%
204528.315643675 1
0.1%
204510.908809878 2
0.1%
204506.921108086 1
0.1%
204505.05715658 1
0.1%
204502.118604099 1
0.1%
204488.650732578 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1124
Distinct (%)64.7%
Missing113
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean461742.78
Minimum458940.71
Maximum465460.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.4 KiB
2024-05-11T15:47:45.428229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum458940.71
5-th percentile459610.44
Q1460746.22
median461557.31
Q3462663.66
95-th percentile464475.06
Maximum465460.11
Range6519.3994
Interquartile range (IQR)1917.439

Descriptive statistics

Standard deviation1381.6203
Coefficient of variation (CV)0.002992186
Kurtosis-0.24016124
Mean461742.78
Median Absolute Deviation (MAD)926.73364
Skewness0.41709575
Sum8.0158547 × 108
Variance1908874.7
MonotonicityNot monotonic
2024-05-11T15:47:45.626490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461378.588676784 21
 
1.1%
461103.246216543 18
 
1.0%
461223.191625815 11
 
0.6%
462924.421741165 10
 
0.5%
460394.329853007 9
 
0.5%
460991.434614302 9
 
0.5%
461303.274346041 9
 
0.5%
460695.381113012 8
 
0.4%
461119.957690091 7
 
0.4%
464552.486156478 7
 
0.4%
Other values (1114) 1627
88.0%
(Missing) 113
 
6.1%
ValueCountFrequency (%)
458940.711388052 3
0.2%
458958.096292873 1
 
0.1%
458959.625639951 1
 
0.1%
458996.979353087 1
 
0.1%
459007.602972035 2
0.1%
459013.265219713 1
 
0.1%
459025.006247749 1
 
0.1%
459037.91937518 2
0.1%
459038.222873743 2
0.1%
459052.547149504 1
 
0.1%
ValueCountFrequency (%)
465460.110785499 4
0.2%
465457.872578752 1
 
0.1%
465291.710893362 1
 
0.1%
465180.671733594 3
0.2%
465113.655837614 2
0.1%
465098.230030337 1
 
0.1%
465077.944095077 1
 
0.1%
465074.746331547 1
 
0.1%
465060.337410728 2
0.1%
465058.823474655 1
 
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
식품자동판매기영업
1774 
<NA>
 
75

Length

Max length9
Median length9
Mean length8.7971877
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 1774
95.9%
<NA> 75
 
4.1%

Length

2024-05-11T15:47:45.795719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:45.937426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 1774
95.9%
na 75
 
4.1%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1649 
0
194 
1
 
5
80
 
1

Length

Max length4
Median length4
Mean length3.6760411
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row80
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1649
89.2%
0 194
 
10.5%
1 5
 
0.3%
80 1
 
0.1%

Length

2024-05-11T15:47:46.100044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:46.251815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1649
89.2%
0 194
 
10.5%
1 5
 
0.3%
80 1
 
0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1649 
0
195 
1
 
4
20
 
1

Length

Max length4
Median length4
Mean length3.6760411
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row20
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1649
89.2%
0 195
 
10.5%
1 4
 
0.2%
20 1
 
0.1%

Length

2024-05-11T15:47:46.423807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:46.574382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1649
89.2%
0 195
 
10.5%
1 4
 
0.2%
20 1
 
0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
기타
1057 
<NA>
742 
주택가주변
 
34
아파트지역
 
7
결혼예식장주변
 
3
Other values (2)
 
6

Length

Max length8
Median length2
Mean length2.8967009
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row주택가주변
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 1057
57.2%
<NA> 742
40.1%
주택가주변 34
 
1.8%
아파트지역 7
 
0.4%
결혼예식장주변 3
 
0.2%
학교정화(절대) 3
 
0.2%
학교정화(상대) 3
 
0.2%

Length

2024-05-11T15:47:46.726099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:46.872983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1057
57.2%
na 742
40.1%
주택가주변 34
 
1.8%
아파트지역 7
 
0.4%
결혼예식장주변 3
 
0.2%
학교정화(절대 3
 
0.2%
학교정화(상대 3
 
0.2%

등급구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
기타
1015 
<NA>
742 
자율
 
65
지도
 
13
우수
 
7
Other values (3)
 
7

Length

Max length4
Median length2
Mean length2.8004327
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row지도
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 1015
54.9%
<NA> 742
40.1%
자율 65
 
3.5%
지도 13
 
0.7%
우수 7
 
0.4%
관리 3
 
0.2%
갑 2
 
0.1%
을 2
 
0.1%

Length

2024-05-11T15:47:47.039648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:47.207624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1015
54.9%
na 742
40.1%
자율 65
 
3.5%
지도 13
 
0.7%
우수 7
 
0.4%
관리 3
 
0.2%
갑 2
 
0.1%
을 2
 
0.1%

급수시설구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing1847
Missing (%)99.9%
Memory size14.6 KiB
2024-05-11T15:47:47.416375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도전용
2nd row상수도전용
ValueCountFrequency (%)
상수도전용 2
100.0%
2024-05-11T15:47:47.848894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1832 
0
 
17

Length

Max length4
Median length4
Mean length3.9724175
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> 1832
99.1%
0 17
 
0.9%

Length

2024-05-11T15:47:48.049621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:48.222954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1832
99.1%
0 17
 
0.9%

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1195 
0
654 

Length

Max length4
Median length4
Mean length2.9388859
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> 1195
64.6%
0 654
35.4%

Length

2024-05-11T15:47:48.435116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:48.611346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1195
64.6%
0 654
35.4%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1195 
0
654 

Length

Max length4
Median length4
Mean length2.9388859
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> 1195
64.6%
0 654
35.4%

Length

2024-05-11T15:47:48.776853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:48.955253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1195
64.6%
0 654
35.4%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1195 
0
654 

Length

Max length4
Median length4
Mean length2.9388859
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> 1195
64.6%
0 654
35.4%

Length

2024-05-11T15:47:49.120571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:49.285157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1195
64.6%
0 654
35.4%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1195 
0
654 

Length

Max length4
Median length4
Mean length2.9388859
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> 1195
64.6%
0 654
35.4%

Length

2024-05-11T15:47:49.463008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:49.611539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1195
64.6%
0 654
35.4%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1371 
자가
447 
임대
 
31

Length

Max length4
Median length4
Mean length3.4829638
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> 1371
74.1%
자가 447
 
24.2%
임대 31
 
1.7%

Length

2024-05-11T15:47:49.777388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:49.942307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1371
74.1%
자가 447
 
24.2%
임대 31
 
1.7%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1472 
0
377 

Length

Max length4
Median length4
Mean length3.388318
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> 1472
79.6%
0 377
 
20.4%

Length

2024-05-11T15:47:50.087378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:50.230731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1472
79.6%
0 377
 
20.4%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
<NA>
1472 
0
377 

Length

Max length4
Median length4
Mean length3.388318
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> 1472
79.6%
0 377
 
20.4%

Length

2024-05-11T15:47:50.418932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:50.577316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1472
79.6%
0 377
 
20.4%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing75
Missing (%)4.1%
Memory size3.7 KiB
False
1774 
(Missing)
 
75
ValueCountFrequency (%)
False 1774
95.9%
(Missing) 75
 
4.1%
2024-05-11T15:47:50.707252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
0.0
1770 
<NA>
 
75
2.4
 
2
1.0
 
1
3.3
 
1

Length

Max length4
Median length3
Mean length3.0405625
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1770
95.7%
<NA> 75
 
4.1%
2.4 2
 
0.1%
1.0 1
 
0.1%
3.3 1
 
0.1%

Length

2024-05-11T15:47:50.878494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:51.022527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1770
95.7%
na 75
 
4.1%
2.4 2
 
0.1%
1.0 1
 
0.1%
3.3 1
 
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1849
Missing (%)100.0%
Memory size16.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1849
Missing (%)100.0%
Memory size16.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1849
Missing (%)100.0%
Memory size16.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030900003090000-112-1972-0015019720130<NA>3폐업2폐업19971120<NA><NA><NA>02<NA>132801서울특별시 도봉구 도봉동 63-7<NA><NA>맛나식당2002-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업204212.750275464469.331951식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130900003090000-112-1977-0002519770530<NA>3폐업2폐업19880111<NA><NA><NA>0200000000<NA>132800서울특별시 도봉구 도봉동 30-1<NA><NA>삼양식품공업-자2002-02-20 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업204169.84767464814.717432식품자동판매기영업8020주택가주변지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230900003090000-112-1983-0002219830323<NA>3폐업2폐업19980114<NA><NA><NA>02<NA>132801서울특별시 도봉구 도봉동 61-2<NA><NA>김광구2002-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업204286.643508464430.25427식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330900003090000-112-1983-0003019830401<NA>3폐업2폐업19990119<NA><NA><NA>02<NA>132020서울특별시 도봉구 방학동 7-0<NA><NA>미원새마을금고2002-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430900003090000-112-1983-0003419830401<NA>3폐업2폐업19990119<NA><NA><NA>02<NA>132020서울특별시 도봉구 방학동 7-0<NA><NA>미원새마을금고2002-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530900003090000-112-1983-0003519830531<NA>3폐업2폐업19960719<NA><NA><NA>02<NA>132801서울특별시 도봉구 도봉동 63<NA><NA>김용현2002-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업204199.156989464552.486156식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630900003090000-112-1983-0003619830531<NA>3폐업2폐업19960719<NA><NA><NA>02<NA>132801서울특별시 도봉구 도봉동 63<NA><NA>김용현2002-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업204199.156989464552.486156식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730900003090000-112-1983-0003819830608<NA>3폐업2폐업19970704<NA><NA><NA>02<NA>132923서울특별시 도봉구 창동 643-2<NA><NA>동원가스2002-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업202804.390571460214.940124식품자동판매기영업<NA><NA>기타자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830900003090000-112-1983-0036419830321<NA>3폐업2폐업20161207<NA><NA><NA>02 349468911.0132807서울특별시 도봉구 도봉동 411-1 다동45서울특별시 도봉구 도봉산길 73 (도봉동, 다동45)1300행운편의점2013-12-23 13:44:20I2018-08-31 23:59:59.0식품자동판매기영업203220.374977464866.74996식품자동판매기영업<NA><NA>기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
930900003090000-112-1983-0036719830401<NA>3폐업2폐업20080312<NA><NA><NA>02 9542068<NA>132010서울특별시 도봉구 도봉동 553-2<NA><NA>롯데식품2002-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
183930900003090000-112-2023-000172023-11-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.0132-848서울특별시 도봉구 방학동 661-8서울특별시 도봉구 도당로 87, 1층 (방학동)1355J&J카페2023-11-06 10:33:59I2022-11-01 00:08:00.0식품자동판매기영업203155.795411462559.959943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184030900003090000-112-2023-000182023-12-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>27.15132-902서울특별시 도봉구 창동 45 삼성아파트 상가2동 101호서울특별시 도봉구 노해로66길 59, 삼성아파트 상가2동 101호 (창동)1422커피에 반하다2023-12-29 11:27:23I2022-11-01 21:01:00.0식품자동판매기영업204214.210633460746.553676<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184130900003090000-112-2024-000012024-01-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>34.0132-828서울특별시 도봉구 방학동 271-2서울특별시 도봉구 방학로 223, 신동아프라자 1층 115호 (방학동)1362데이롱 카페 방학프라자점2024-01-03 15:01:42I2023-12-01 00:05:00.0식품자동판매기영업202326.17576462116.408564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184230900003090000-112-2024-000022024-01-05<NA>1영업/정상1영업<NA><NA><NA><NA>02340202013.3132-854서울특별시 도봉구 방학동 707-7 홈플러스데스코㈜방학점서울특별시 도봉구 도봉로 678, 홈플러스데스코㈜방학점 2층 (방학동)1334(주)어라운드더코너2024-01-22 17:44:48U2023-11-30 22:04:00.0식품자동판매기영업203790.013569462495.417041<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184330900003090000-112-2024-000032024-01-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.8132-909서울특별시 도봉구 창동 341 동진빌리지서울특별시 도봉구 해등로 79, 동진빌리지 102동 제1층 101호 (창동)148424시 무인카페 만월경창동점2024-01-12 14:27:03I2023-11-30 23:04:00.0식품자동판매기영업203526.824256460926.258656<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184430900003090000-112-2024-000042024-01-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.0132-850서울특별시 도봉구 방학동 685-3서울특별시 도봉구 도봉로147길 60, 1층 (방학동)1341정다방2024-01-18 17:33:53I2023-11-30 22:00:00.0식품자동판매기영업203402.944063462539.193652<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184530900003090000-112-2024-000052024-01-25<NA>3폐업2폐업2024-03-12<NA><NA><NA><NA>3.3132-893서울특별시 도봉구 쌍문동 653 삼환프라자서울특별시 도봉구 도봉로 575, 삼환프라자 4층 (쌍문동)1432디아망2024-03-12 13:47:30U2023-12-02 23:04:00.0식품자동판매기영업203348.210557461557.310545<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184630900003090000-112-2024-000062024-02-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3132-040서울특별시 도봉구 창동 814 대우그린아파트 상가동 101호서울특별시 도봉구 노해로66길 83-40, 상가동 1층 101호 (창동, 대우그린아파트)1423이마트24self녹천점2024-02-23 10:01:40I2023-12-01 22:05:00.0식품자동판매기영업204304.5823460447.70886<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184730900003090000-112-2024-000072024-04-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.51132-862서울특별시 도봉구 쌍문동 69-47 1층서울특별시 도봉구 도봉로129길 39, 1층 (쌍문동)1436좋은이웃카페2024-04-04 13:40:48I2023-12-04 00:06:00.0식품자동판매기영업203120.157056461446.476129<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184830900003090000-112-2024-000082024-04-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.87132-908서울특별시 도봉구 창동 320-1 상아프라자 104호서울특별시 도봉구 노해로63길 51, 상아프라자 104호 (창동)1403일등무인카페2024-04-04 16:27:25I2023-12-04 00:06:00.0식품자동판매기영업203882.238752461149.873155<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>