Overview

Dataset statistics

Number of variables44
Number of observations2371
Missing cells23515
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory870.7 KiB
Average record size in memory376.1 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric5
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-18234/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
데이터갱신구분 is highly imbalanced (60.8%)Imbalance
위생업태명 is highly imbalanced (74.8%)Imbalance
남성종사자수 is highly imbalanced (88.7%)Imbalance
여성종사자수 is highly imbalanced (88.7%)Imbalance
급수시설구분명 is highly imbalanced (94.8%)Imbalance
총인원 is highly imbalanced (89.7%)Imbalance
인허가취소일자 has 2371 (100.0%) missing valuesMissing
폐업일자 has 285 (12.0%) missing valuesMissing
휴업시작일자 has 2371 (100.0%) missing valuesMissing
휴업종료일자 has 2371 (100.0%) missing valuesMissing
재개업일자 has 2371 (100.0%) missing valuesMissing
전화번호 has 340 (14.3%) missing valuesMissing
소재지면적 has 2147 (90.6%) missing valuesMissing
도로명주소 has 1680 (70.9%) missing valuesMissing
도로명우편번호 has 1720 (72.5%) missing valuesMissing
좌표정보(X) has 272 (11.5%) missing valuesMissing
좌표정보(Y) has 272 (11.5%) missing valuesMissing
다중이용업소여부 has 100 (4.2%) missing valuesMissing
시설총규모 has 100 (4.2%) missing valuesMissing
전통업소지정번호 has 2371 (100.0%) missing valuesMissing
전통업소주된음식 has 2371 (100.0%) missing valuesMissing
홈페이지 has 2371 (100.0%) missing valuesMissing
시설총규모 is highly skewed (γ1 = 44.5052066)Skewed
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 157 (6.6%) zerosZeros
시설총규모 has 2258 (95.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:41:28.742628
Analysis finished2024-05-11 05:41:29.988335
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
3070000
2371 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 2371
100.0%

Length

2024-05-11T14:41:30.057800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:30.151666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 2371
100.0%

관리번호
Text

UNIQUE 

Distinct2371
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2024-05-11T14:41:30.326922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters52162
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

Unique2371 ?
Unique (%)100.0%

Sample

1st row3070000-112-1984-00013
2nd row3070000-112-1984-00380
3rd row3070000-112-1984-00686
4th row3070000-112-1986-00082
5th row3070000-112-1986-00083
ValueCountFrequency (%)
3070000-112-1984-00013 1
 
< 0.1%
3070000-112-2003-00153 1
 
< 0.1%
3070000-112-2003-00167 1
 
< 0.1%
3070000-112-2003-00161 1
 
< 0.1%
3070000-112-2003-00162 1
 
< 0.1%
3070000-112-2003-00163 1
 
< 0.1%
3070000-112-2003-00164 1
 
< 0.1%
3070000-112-2003-00165 1
 
< 0.1%
3070000-112-2003-00166 1
 
< 0.1%
3070000-112-2003-00168 1
 
< 0.1%
Other values (2361) 2361
99.6%
2024-05-11T14:41:30.654416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20419
39.1%
1 7612
 
14.6%
- 7113
 
13.6%
2 4829
 
9.3%
3 3361
 
6.4%
7 3094
 
5.9%
9 2795
 
5.4%
6 811
 
1.6%
4 772
 
1.5%
8 682
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45049
86.4%
Dash Punctuation 7113
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20419
45.3%
1 7612
 
16.9%
2 4829
 
10.7%
3 3361
 
7.5%
7 3094
 
6.9%
9 2795
 
6.2%
6 811
 
1.8%
4 772
 
1.7%
8 682
 
1.5%
5 674
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 7113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20419
39.1%
1 7612
 
14.6%
- 7113
 
13.6%
2 4829
 
9.3%
3 3361
 
6.4%
7 3094
 
5.9%
9 2795
 
5.4%
6 811
 
1.6%
4 772
 
1.5%
8 682
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20419
39.1%
1 7612
 
14.6%
- 7113
 
13.6%
2 4829
 
9.3%
3 3361
 
6.4%
7 3094
 
5.9%
9 2795
 
5.4%
6 811
 
1.6%
4 772
 
1.5%
8 682
 
1.3%

인허가일자
Date

Distinct1363
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
Minimum1984-03-17 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T14:41:30.839541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:41:31.016565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2371
Missing (%)100.0%
Memory size21.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
3
2086 
1
285 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2086
88.0%
1 285
 
12.0%

Length

2024-05-11T14:41:31.448943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:31.541678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2086
88.0%
1 285
 
12.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
폐업
2086 
영업/정상
285 

Length

Max length5
Median length2
Mean length2.3606073
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2086
88.0%
영업/정상 285
 
12.0%

Length

2024-05-11T14:41:31.660624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:31.778737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2086
88.0%
영업/정상 285
 
12.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2
2086 
1
285 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2086
88.0%
1 285
 
12.0%

Length

2024-05-11T14:41:31.894048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:31.997137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2086
88.0%
1 285
 
12.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
폐업
2086 
영업
285 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2086
88.0%
영업 285
 
12.0%

Length

2024-05-11T14:41:32.113203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:32.218103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2086
88.0%
영업 285
 
12.0%

폐업일자
Date

MISSING 

Distinct1402
Distinct (%)67.2%
Missing285
Missing (%)12.0%
Memory size18.7 KiB
Minimum1991-08-20 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T14:41:32.333708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:41:32.478042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2371
Missing (%)100.0%
Memory size21.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2371
Missing (%)100.0%
Memory size21.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2371
Missing (%)100.0%
Memory size21.0 KiB

전화번호
Text

MISSING 

Distinct1671
Distinct (%)82.3%
Missing340
Missing (%)14.3%
Memory size18.7 KiB
2024-05-11T14:41:32.781405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.5480059
Min length2

Characters and Unicode

Total characters19392
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

Unique1578 ?
Unique (%)77.7%

Sample

1st row02 7642420
2nd row02 957263
3rd row02 9406114
4th row02 958010
5th row02 958010
ValueCountFrequency (%)
02 1939
49.1%
9201767 39
 
1.0%
5111762 26
 
0.7%
2741741 9
 
0.2%
922 9
 
0.2%
0222917206 8
 
0.2%
9298400 8
 
0.2%
921 8
 
0.2%
9205130 7
 
0.2%
942 7
 
0.2%
Other values (1710) 1888
47.8%
2024-05-11T14:41:33.359966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3659
18.9%
0 3050
15.7%
9 2512
13.0%
2062
10.6%
1 1783
9.2%
4 1153
 
5.9%
7 1143
 
5.9%
6 1133
 
5.8%
3 1075
 
5.5%
5 952
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17330
89.4%
Space Separator 2062
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3659
21.1%
0 3050
17.6%
9 2512
14.5%
1 1783
10.3%
4 1153
 
6.7%
7 1143
 
6.6%
6 1133
 
6.5%
3 1075
 
6.2%
5 952
 
5.5%
8 870
 
5.0%
Space Separator
ValueCountFrequency (%)
2062
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3659
18.9%
0 3050
15.7%
9 2512
13.0%
2062
10.6%
1 1783
9.2%
4 1153
 
5.9%
7 1143
 
5.9%
6 1133
 
5.8%
3 1075
 
5.5%
5 952
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3659
18.9%
0 3050
15.7%
9 2512
13.0%
2062
10.6%
1 1783
9.2%
4 1153
 
5.9%
7 1143
 
5.9%
6 1133
 
5.8%
3 1075
 
5.5%
5 952
 
4.9%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)11.6%
Missing2147
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean2.5449107
Minimum0
Maximum47
Zeros157
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2024-05-11T14:41:33.555508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.075
95-th percentile19.73
Maximum47
Range47
Interquartile range (IQR)3.075

Descriptive statistics

Standard deviation7.1406977
Coefficient of variation (CV)2.8058736
Kurtosis16.247847
Mean2.5449107
Median Absolute Deviation (MAD)0
Skewness3.9726809
Sum570.06
Variance50.989563
MonotonicityNot monotonic
2024-05-11T14:41:33.684258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 157
 
6.6%
3.3 35
 
1.5%
3.0 4
 
0.2%
1.0 3
 
0.1%
27.6 2
 
0.1%
7.0 2
 
0.1%
5.0 2
 
0.1%
6.6 1
 
< 0.1%
37.87 1
 
< 0.1%
37.36 1
 
< 0.1%
Other values (16) 16
 
0.7%
(Missing) 2147
90.6%
ValueCountFrequency (%)
0.0 157
6.6%
0.36 1
 
< 0.1%
1.0 3
 
0.1%
1.5 1
 
< 0.1%
2.0 1
 
< 0.1%
2.75 1
 
< 0.1%
3.0 4
 
0.2%
3.3 35
 
1.5%
4.4 1
 
< 0.1%
5.0 2
 
0.1%
ValueCountFrequency (%)
47.0 1
< 0.1%
37.87 1
< 0.1%
37.36 1
< 0.1%
35.0 1
< 0.1%
34.08 1
< 0.1%
27.6 2
0.1%
26.48 1
< 0.1%
24.0 1
< 0.1%
23.37 1
< 0.1%
23.0 1
< 0.1%

소재지우편번호
Text

Distinct174
Distinct (%)7.3%
Missing1
Missing (%)< 0.1%
Memory size18.7 KiB
2024-05-11T14:41:34.033708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0265823
Min length6

Characters and Unicode

Total characters14283
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

Unique46 ?
Unique (%)1.9%

Sample

1st row136821
2nd row136082
3rd row136858
4th row136045
5th row136045
ValueCountFrequency (%)
136075 143
 
6.0%
136865 128
 
5.4%
136800 87
 
3.7%
136858 66
 
2.8%
136826 62
 
2.6%
136833 55
 
2.3%
136120 53
 
2.2%
136873 44
 
1.9%
136051 43
 
1.8%
136817 41
 
1.7%
Other values (164) 1648
69.5%
2024-05-11T14:41:34.681583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2970
20.8%
3 2904
20.3%
6 2850
20.0%
8 1796
12.6%
0 1272
8.9%
5 807
 
5.7%
7 514
 
3.6%
4 492
 
3.4%
2 453
 
3.2%
9 162
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14220
99.6%
Dash Punctuation 63
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2970
20.9%
3 2904
20.4%
6 2850
20.0%
8 1796
12.6%
0 1272
8.9%
5 807
 
5.7%
7 514
 
3.6%
4 492
 
3.5%
2 453
 
3.2%
9 162
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2970
20.8%
3 2904
20.3%
6 2850
20.0%
8 1796
12.6%
0 1272
8.9%
5 807
 
5.7%
7 514
 
3.6%
4 492
 
3.4%
2 453
 
3.2%
9 162
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2970
20.8%
3 2904
20.3%
6 2850
20.0%
8 1796
12.6%
0 1272
8.9%
5 807
 
5.7%
7 514
 
3.6%
4 492
 
3.4%
2 453
 
3.2%
9 162
 
1.1%

지번주소
Text

Distinct2010
Distinct (%)84.8%
Missing1
Missing (%)< 0.1%
Memory size18.7 KiB
2024-05-11T14:41:35.097152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length21.99789
Min length17

Characters and Unicode

Total characters52135
Distinct characters257
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

Unique1789 ?
Unique (%)75.5%

Sample

1st row서울특별시 성북구 성북동 114-2
2nd row서울특별시 성북구 보문동2가 5-4
3rd row서울특별시 성북구 종암동 8-2
4th row서울특별시 성북구 삼선동5가 411-0
5th row서울특별시 성북구 삼선동5가 411-0
ValueCountFrequency (%)
서울특별시 2370
23.4%
성북구 2370
23.4%
하월곡동 318
 
3.1%
장위동 307
 
3.0%
정릉동 297
 
2.9%
종암동 206
 
2.0%
석관동 202
 
2.0%
길음동 199
 
2.0%
안암동5가 149
 
1.5%
돈암동 68
 
0.7%
Other values (2048) 3627
35.9%
2024-05-11T14:41:35.758031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
19.2%
동 2679
 
5.1%
성 2456
 
4.7%
북 2441
 
4.7%
구 2381
 
4.6%
서 2380
 
4.6%
시 2373
 
4.6%
별 2371
 
4.5%
울 2370
 
4.5%
특 2370
 
4.5%
Other values (247) 20314
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29237
56.1%
Decimal Number 10571
 
20.3%
Space Separator 10000
 
19.2%
Dash Punctuation 2166
 
4.2%
Uppercase Letter 107
 
0.2%
Open Punctuation 20
 
< 0.1%
Close Punctuation 20
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2679
9.2%
성 2456
 
8.4%
북 2441
 
8.3%
구 2381
 
8.1%
서 2380
 
8.1%
시 2373
 
8.1%
별 2371
 
8.1%
울 2370
 
8.1%
특 2370
 
8.1%
가 724
 
2.5%
Other values (211) 6692
22.9%
Uppercase Letter
ValueCountFrequency (%)
S 22
20.6%
K 17
15.9%
T 16
15.0%
I 13
12.1%
A 12
11.2%
B 8
 
7.5%
P 4
 
3.7%
G 4
 
3.7%
W 2
 
1.9%
E 2
 
1.9%
Other values (5) 7
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 2287
21.6%
2 1532
14.5%
3 1130
10.7%
0 954
9.0%
5 942
8.9%
4 841
 
8.0%
6 832
 
7.9%
7 755
 
7.1%
8 752
 
7.1%
9 546
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
@ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29237
56.1%
Common 22787
43.7%
Latin 111
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2679
9.2%
성 2456
 
8.4%
북 2441
 
8.3%
구 2381
 
8.1%
서 2380
 
8.1%
시 2373
 
8.1%
별 2371
 
8.1%
울 2370
 
8.1%
특 2370
 
8.1%
가 724
 
2.5%
Other values (211) 6692
22.9%
Latin
ValueCountFrequency (%)
S 22
19.8%
K 17
15.3%
T 16
14.4%
I 13
11.7%
A 12
10.8%
B 8
 
7.2%
P 4
 
3.6%
G 4
 
3.6%
W 2
 
1.8%
E 2
 
1.8%
Other values (9) 11
9.9%
Common
ValueCountFrequency (%)
10000
43.9%
1 2287
 
10.0%
- 2166
 
9.5%
2 1532
 
6.7%
3 1130
 
5.0%
0 954
 
4.2%
5 942
 
4.1%
4 841
 
3.7%
6 832
 
3.7%
7 755
 
3.3%
Other values (7) 1348
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29237
56.1%
ASCII 22898
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
43.7%
1 2287
 
10.0%
- 2166
 
9.5%
2 1532
 
6.7%
3 1130
 
4.9%
0 954
 
4.2%
5 942
 
4.1%
4 841
 
3.7%
6 832
 
3.6%
7 755
 
3.3%
Other values (26) 1459
 
6.4%
Hangul
ValueCountFrequency (%)
동 2679
9.2%
성 2456
 
8.4%
북 2441
 
8.3%
구 2381
 
8.1%
서 2380
 
8.1%
시 2373
 
8.1%
별 2371
 
8.1%
울 2370
 
8.1%
특 2370
 
8.1%
가 724
 
2.5%
Other values (211) 6692
22.9%

도로명주소
Text

MISSING 

Distinct637
Distinct (%)92.2%
Missing1680
Missing (%)70.9%
Memory size18.7 KiB
2024-05-11T14:41:36.122544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length53
Mean length29.432706
Min length22

Characters and Unicode

Total characters20338
Distinct characters261
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

Unique609 ?
Unique (%)88.1%

Sample

1st row서울특별시 성북구 성북로 115 (성북동)
2nd row서울특별시 성북구 보문로 168 (삼선동5가)
3rd row서울특별시 성북구 보문로 168 (삼선동5가)
4th row서울특별시 성북구 성북로 136 (성북동)
5th row서울특별시 성북구 오패산로3길 3 (하월곡동)
ValueCountFrequency (%)
서울특별시 691
 
17.5%
성북구 691
 
17.5%
1층 124
 
3.1%
정릉동 104
 
2.6%
장위동 82
 
2.1%
하월곡동 73
 
1.8%
석관동 60
 
1.5%
안암동5가 46
 
1.2%
종암동 45
 
1.1%
동소문로 33
 
0.8%
Other values (799) 1999
50.6%
2024-05-11T14:41:36.692319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3261
 
16.0%
동 855
 
4.2%
1 796
 
3.9%
북 750
 
3.7%
성 746
 
3.7%
서 705
 
3.5%
( 702
 
3.5%
) 702
 
3.5%
구 696
 
3.4%
시 694
 
3.4%
Other values (251) 10431
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12181
59.9%
Space Separator 3261
 
16.0%
Decimal Number 2954
 
14.5%
Open Punctuation 702
 
3.5%
Close Punctuation 702
 
3.5%
Other Punctuation 345
 
1.7%
Dash Punctuation 101
 
0.5%
Uppercase Letter 83
 
0.4%
Lowercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 855
 
7.0%
북 750
 
6.2%
성 746
 
6.1%
서 705
 
5.8%
구 696
 
5.7%
시 694
 
5.7%
별 692
 
5.7%
특 691
 
5.7%
울 691
 
5.7%
로 688
 
5.6%
Other values (215) 4973
40.8%
Uppercase Letter
ValueCountFrequency (%)
S 16
19.3%
K 13
15.7%
T 12
14.5%
I 12
14.5%
B 10
12.0%
A 8
9.6%
G 3
 
3.6%
C 2
 
2.4%
U 1
 
1.2%
W 1
 
1.2%
Other values (5) 5
 
6.0%
Decimal Number
ValueCountFrequency (%)
1 796
26.9%
2 390
13.2%
4 312
 
10.6%
3 269
 
9.1%
5 261
 
8.8%
0 208
 
7.0%
6 201
 
6.8%
7 178
 
6.0%
9 170
 
5.8%
8 169
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
u 1
20.0%
n 1
20.0%
v 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 344
99.7%
@ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3261
100.0%
Open Punctuation
ValueCountFrequency (%)
( 702
100.0%
Close Punctuation
ValueCountFrequency (%)
) 702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12181
59.9%
Common 8069
39.7%
Latin 88
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 855
 
7.0%
북 750
 
6.2%
성 746
 
6.1%
서 705
 
5.8%
구 696
 
5.7%
시 694
 
5.7%
별 692
 
5.7%
특 691
 
5.7%
울 691
 
5.7%
로 688
 
5.6%
Other values (215) 4973
40.8%
Latin
ValueCountFrequency (%)
S 16
18.2%
K 13
14.8%
T 12
13.6%
I 12
13.6%
B 10
11.4%
A 8
9.1%
G 3
 
3.4%
e 2
 
2.3%
C 2
 
2.3%
U 1
 
1.1%
Other values (9) 9
10.2%
Common
ValueCountFrequency (%)
3261
40.4%
1 796
 
9.9%
( 702
 
8.7%
) 702
 
8.7%
2 390
 
4.8%
, 344
 
4.3%
4 312
 
3.9%
3 269
 
3.3%
5 261
 
3.2%
0 208
 
2.6%
Other values (7) 824
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12181
59.9%
ASCII 8157
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3261
40.0%
1 796
 
9.8%
( 702
 
8.6%
) 702
 
8.6%
2 390
 
4.8%
, 344
 
4.2%
4 312
 
3.8%
3 269
 
3.3%
5 261
 
3.2%
0 208
 
2.5%
Other values (26) 912
 
11.2%
Hangul
ValueCountFrequency (%)
동 855
 
7.0%
북 750
 
6.2%
성 746
 
6.1%
서 705
 
5.8%
구 696
 
5.7%
시 694
 
5.7%
별 692
 
5.7%
특 691
 
5.7%
울 691
 
5.7%
로 688
 
5.6%
Other values (215) 4973
40.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct148
Distinct (%)22.7%
Missing1720
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean2789.0968
Minimum2700
Maximum2880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2024-05-11T14:41:36.907094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2700
5-th percentile2709.5
Q12748
median2788
Q32841
95-th percentile2865
Maximum2880
Range180
Interquartile range (IQR)93

Descriptive statistics

Standard deviation50.610654
Coefficient of variation (CV)0.018145894
Kurtosis-1.1965036
Mean2789.0968
Median Absolute Deviation (MAD)46
Skewness-0.022706976
Sum1815702
Variance2561.4383
MonotonicityNot monotonic
2024-05-11T14:41:37.113444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2842 28
 
1.2%
2748 21
 
0.9%
2845 18
 
0.8%
2751 17
 
0.7%
2841 15
 
0.6%
2785 13
 
0.5%
2710 13
 
0.5%
2718 12
 
0.5%
2792 12
 
0.5%
2709 11
 
0.5%
Other values (138) 491
 
20.7%
(Missing) 1720
72.5%
ValueCountFrequency (%)
2700 4
 
0.2%
2701 1
 
< 0.1%
2704 7
0.3%
2705 3
 
0.1%
2707 3
 
0.1%
2708 4
 
0.2%
2709 11
0.5%
2710 13
0.5%
2711 3
 
0.1%
2712 2
 
0.1%
ValueCountFrequency (%)
2880 5
0.2%
2879 4
0.2%
2877 1
 
< 0.1%
2874 2
 
0.1%
2873 5
0.2%
2872 5
0.2%
2871 4
0.2%
2870 1
 
< 0.1%
2868 1
 
< 0.1%
2867 1
 
< 0.1%

사업장명
Text

Distinct1981
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
2024-05-11T14:41:37.459838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length5.7701392
Min length1

Characters and Unicode

Total characters13681
Distinct characters627
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1809 ?
Unique (%)76.3%

Sample

1st row성북돼지갈비
2nd row한성독서실
3rd row국민은행
4th row성북구청식당위원회
5th row성북구청청사내자판기
ValueCountFrequency (%)
무 42
 
1.6%
앞 39
 
1.5%
고려대학교 28
 
1.1%
gs25 25
 
0.9%
후생복지부 21
 
0.8%
한국코카콜라보틀링 16
 
0.6%
이마트24 15
 
0.6%
세븐일레븐 15
 
0.6%
씨유 15
 
0.6%
동덕여대 13
 
0.5%
Other values (2055) 2437
91.4%
2024-05-11T14:41:38.177344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 313
 
2.3%
퍼 305
 
2.2%
296
 
2.2%
슈 290
 
2.1%
대 274
 
2.0%
성 273
 
2.0%
동 211
 
1.5%
마 178
 
1.3%
이 164
 
1.2%
스 150
 
1.1%
Other values (617) 11227
82.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12345
90.2%
Uppercase Letter 412
 
3.0%
Decimal Number 349
 
2.6%
Space Separator 296
 
2.2%
Close Punctuation 101
 
0.7%
Open Punctuation 100
 
0.7%
Lowercase Letter 50
 
0.4%
Other Punctuation 15
 
0.1%
Dash Punctuation 11
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 313
 
2.5%
퍼 305
 
2.5%
슈 290
 
2.3%
대 274
 
2.2%
성 273
 
2.2%
동 211
 
1.7%
마 178
 
1.4%
이 164
 
1.3%
스 150
 
1.2%
사 149
 
1.2%
Other values (554) 10038
81.3%
Uppercase Letter
ValueCountFrequency (%)
S 106
25.7%
G 76
18.4%
C 61
14.8%
P 29
 
7.0%
U 29
 
7.0%
K 20
 
4.9%
M 12
 
2.9%
A 9
 
2.2%
O 8
 
1.9%
T 8
 
1.9%
Other values (13) 54
13.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
12.0%
c 5
10.0%
u 5
10.0%
p 4
 
8.0%
o 4
 
8.0%
n 3
 
6.0%
a 3
 
6.0%
z 3
 
6.0%
i 3
 
6.0%
s 3
 
6.0%
Other values (8) 11
22.0%
Decimal Number
ValueCountFrequency (%)
2 130
37.2%
5 88
25.2%
4 42
 
12.0%
1 32
 
9.2%
6 19
 
5.4%
0 12
 
3.4%
3 12
 
3.4%
7 6
 
1.7%
9 4
 
1.1%
8 4
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 8
53.3%
, 3
 
20.0%
& 1
 
6.7%
' 1
 
6.7%
/ 1
 
6.7%
! 1
 
6.7%
Math Symbol
ValueCountFrequency (%)
× 1
50.0%
= 1
50.0%
Space Separator
ValueCountFrequency (%)
296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12345
90.2%
Common 874
 
6.4%
Latin 462
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 313
 
2.5%
퍼 305
 
2.5%
슈 290
 
2.3%
대 274
 
2.2%
성 273
 
2.2%
동 211
 
1.7%
마 178
 
1.4%
이 164
 
1.3%
스 150
 
1.2%
사 149
 
1.2%
Other values (554) 10038
81.3%
Latin
ValueCountFrequency (%)
S 106
22.9%
G 76
16.5%
C 61
13.2%
P 29
 
6.3%
U 29
 
6.3%
K 20
 
4.3%
M 12
 
2.6%
A 9
 
1.9%
O 8
 
1.7%
T 8
 
1.7%
Other values (31) 104
22.5%
Common
ValueCountFrequency (%)
296
33.9%
2 130
14.9%
) 101
 
11.6%
( 100
 
11.4%
5 88
 
10.1%
4 42
 
4.8%
1 32
 
3.7%
6 19
 
2.2%
0 12
 
1.4%
3 12
 
1.4%
Other values (12) 42
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12345
90.2%
ASCII 1335
 
9.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 313
 
2.5%
퍼 305
 
2.5%
슈 290
 
2.3%
대 274
 
2.2%
성 273
 
2.2%
동 211
 
1.7%
마 178
 
1.4%
이 164
 
1.3%
스 150
 
1.2%
사 149
 
1.2%
Other values (554) 10038
81.3%
ASCII
ValueCountFrequency (%)
296
22.2%
2 130
9.7%
S 106
 
7.9%
) 101
 
7.6%
( 100
 
7.5%
5 88
 
6.6%
G 76
 
5.7%
C 61
 
4.6%
4 42
 
3.1%
1 32
 
2.4%
Other values (52) 303
22.7%
None
ValueCountFrequency (%)
× 1
100.0%

최종수정일자
Date

Distinct1066
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
Minimum2001-10-05 00:00:00
Maximum2024-05-08 15:01:50
2024-05-11T14:41:38.434319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:41:38.659916image/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 size18.7 KiB
I
2188 
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 rowU

Common Values

ValueCountFrequency (%)
I 2188
92.3%
U 183
 
7.7%

Length

2024-05-11T14:41:38.836505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:38.982134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2188
92.3%
u 183
 
7.7%

데이터갱신일자
Date

Distinct241
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T14:41:39.128214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:41:39.341371image/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 size18.7 KiB
식품자동판매기영업
2371 

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 2371
100.0%

Length

2024-05-11T14:41:39.528665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:39.655405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2371
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1540
Distinct (%)73.4%
Missing272
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean202645.33
Minimum198578.15
Maximum206112.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2024-05-11T14:41:39.802288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198578.15
5-th percentile200337.2
Q1201426.77
median202555.3
Q3203836.05
95-th percentile205373.32
Maximum206112.46
Range7534.3039
Interquartile range (IQR)2409.2806

Descriptive statistics

Standard deviation1574.3362
Coefficient of variation (CV)0.0077689239
Kurtosis-0.84093179
Mean202645.33
Median Absolute Deviation (MAD)1141.1082
Skewness0.18921627
Sum4.2535255 × 108
Variance2478534.4
MonotonicityNot monotonic
2024-05-11T14:41:40.048638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202789.692329185 41
 
1.7%
203034.061495003 28
 
1.2%
201804.476671074 26
 
1.1%
202555.30089577 18
 
0.8%
202466.801104742 16
 
0.7%
203623.431611173 15
 
0.6%
203934.360214315 12
 
0.5%
201416.773357127 11
 
0.5%
202313.850759843 10
 
0.4%
199628.172805473 10
 
0.4%
Other values (1530) 1912
80.6%
(Missing) 272
 
11.5%
ValueCountFrequency (%)
198578.153685133 1
< 0.1%
198994.674384184 2
0.1%
199058.357470878 1
< 0.1%
199157.356658993 1
< 0.1%
199189.75153862 1
< 0.1%
199453.359808072 2
0.1%
199483.232418051 1
< 0.1%
199512.433987245 1
< 0.1%
199543.948635702 1
< 0.1%
199549.679509335 2
0.1%
ValueCountFrequency (%)
206112.457605113 4
0.2%
205996.717928956 3
0.1%
205818.852385165 1
 
< 0.1%
205782.610251844 1
 
< 0.1%
205764.586797298 1
 
< 0.1%
205745.991071909 2
0.1%
205745.780046691 1
 
< 0.1%
205741.992335686 1
 
< 0.1%
205741.721911974 1
 
< 0.1%
205733.614024599 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1539
Distinct (%)73.3%
Missing272
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean455499.92
Minimum452872.83
Maximum457988.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2024-05-11T14:41:40.321934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452872.83
5-th percentile453627.79
Q1454438.26
median455787.59
Q3456416.54
95-th percentile457178.44
Maximum457988.51
Range5115.6825
Interquartile range (IQR)1978.2782

Descriptive statistics

Standard deviation1147.7245
Coefficient of variation (CV)0.002519703
Kurtosis-1.0272283
Mean455499.92
Median Absolute Deviation (MAD)844.46099
Skewness-0.3073744
Sum9.5609434 × 108
Variance1317271.6
MonotonicityNot monotonic
2024-05-11T14:41:40.566442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454049.551940162 41
 
1.7%
454045.603259341 28
 
1.2%
454438.257071786 26
 
1.1%
456503.066230481 18
 
0.8%
456227.571665528 16
 
0.7%
456004.312245458 15
 
0.6%
455417.925754463 12
 
0.5%
454126.789904809 11
 
0.5%
453871.264665299 10
 
0.4%
456534.7766001 10
 
0.4%
Other values (1529) 1912
80.6%
(Missing) 272
 
11.5%
ValueCountFrequency (%)
452872.827007071 1
 
< 0.1%
452924.167368 1
 
< 0.1%
452935.221547454 4
0.2%
452946.316887517 1
 
< 0.1%
452955.228914632 1
 
< 0.1%
452958.916836799 1
 
< 0.1%
452975.540206698 1
 
< 0.1%
452992.513827755 1
 
< 0.1%
453002.331239751 2
0.1%
453023.937121 1
 
< 0.1%
ValueCountFrequency (%)
457988.509545404 1
< 0.1%
457844.348010616 1
< 0.1%
457819.802526758 2
0.1%
457792.876809056 1
< 0.1%
457738.394259698 1
< 0.1%
457678.401608072 1
< 0.1%
457666.090450683 1
< 0.1%
457516.661565346 1
< 0.1%
457512.170504497 1
< 0.1%
457510.57039148 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
식품자동판매기영업
2271 
<NA>
 
100

Length

Max length9
Median length9
Mean length8.7891185
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 2271
95.8%
<NA> 100
 
4.2%

Length

2024-05-11T14:41:40.789685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:41.216280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2271
95.8%
na 100
 
4.2%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
2335 
0
 
36

Length

Max length4
Median length4
Mean length3.9544496
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> 2335
98.5%
0 36
 
1.5%

Length

2024-05-11T14:41:41.370384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:41.529532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2335
98.5%
0 36
 
1.5%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
2335 
0
 
36

Length

Max length4
Median length4
Mean length3.9544496
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> 2335
98.5%
0 36
 
1.5%

Length

2024-05-11T14:41:41.665157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:41.795504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2335
98.5%
0 36
 
1.5%

영업장주변구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
기타
1261 
<NA>
1110 

Length

Max length4
Median length2
Mean length2.9363138
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1261
53.2%
<NA> 1110
46.8%

Length

2024-05-11T14:41:42.018076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:42.179132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1261
53.2%
na 1110
46.8%

등급구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
기타
1261 
<NA>
1110 

Length

Max length4
Median length2
Mean length2.9363138
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1261
53.2%
<NA> 1110
46.8%

Length

2024-05-11T14:41:42.382747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:42.535791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1261
53.2%
na 1110
46.8%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
2357 
상수도전용
 
14

Length

Max length5
Median length4
Mean length4.0059047
Min length4

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> 2357
99.4%
상수도전용 14
 
0.6%

Length

2024-05-11T14:41:42.729809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:42.875699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2357
99.4%
상수도전용 14
 
0.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
2339 
0
 
32

Length

Max length4
Median length4
Mean length3.9595108
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> 2339
98.7%
0 32
 
1.3%

Length

2024-05-11T14:41:43.033038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:43.178841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2339
98.7%
0 32
 
1.3%

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
1333 
0
1038 

Length

Max length4
Median length4
Mean length2.6866301
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1333
56.2%
0 1038
43.8%

Length

2024-05-11T14:41:43.300909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:43.444355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1333
56.2%
0 1038
43.8%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
1333 
0
1038 

Length

Max length4
Median length4
Mean length2.6866301
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1333
56.2%
0 1038
43.8%

Length

2024-05-11T14:41:43.609084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:43.799105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1333
56.2%
0 1038
43.8%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
1333 
0
1038 

Length

Max length4
Median length4
Mean length2.6866301
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1333
56.2%
0 1038
43.8%

Length

2024-05-11T14:41:44.000970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:44.182465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1333
56.2%
0 1038
43.8%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
1333 
0
1038 

Length

Max length4
Median length4
Mean length2.6866301
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1333
56.2%
0 1038
43.8%

Length

2024-05-11T14:41:44.355471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:44.512353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1333
56.2%
0 1038
43.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
1888 
자가
393 
임대
 
90

Length

Max length4
Median length4
Mean length3.592577
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> 1888
79.6%
자가 393
 
16.6%
임대 90
 
3.8%

Length

2024-05-11T14:41:44.746044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:44.930328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1888
79.6%
자가 393
 
16.6%
임대 90
 
3.8%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
2084 
0
287 

Length

Max length4
Median length4
Mean length3.6368621
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> 2084
87.9%
0 287
 
12.1%

Length

2024-05-11T14:41:45.126832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:45.278823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2084
87.9%
0 287
 
12.1%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
<NA>
2084 
0
287 

Length

Max length4
Median length4
Mean length3.6368621
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> 2084
87.9%
0 287
 
12.1%

Length

2024-05-11T14:41:45.442423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:45.621727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2084
87.9%
0 287
 
12.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing100
Missing (%)4.2%
Memory size4.8 KiB
False
2271 
(Missing)
 
100
ValueCountFrequency (%)
False 2271
95.8%
(Missing) 100
 
4.2%
2024-05-11T14:41:45.752601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.4%
Missing100
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.035187142
Minimum0
Maximum47
Zeros2258
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2024-05-11T14:41:45.888488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0099113
Coefficient of variation (CV)28.701146
Kurtosis2063.3584
Mean0.035187142
Median Absolute Deviation (MAD)0
Skewness44.505207
Sum79.91
Variance1.0199208
MonotonicityNot monotonic
2024-05-11T14:41:46.070420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 2258
95.2%
3.3 6
 
0.3%
1.0 2
 
0.1%
5.0 1
 
< 0.1%
2.75 1
 
< 0.1%
47.0 1
 
< 0.1%
0.36 1
 
< 0.1%
3.0 1
 
< 0.1%
(Missing) 100
 
4.2%
ValueCountFrequency (%)
0.0 2258
95.2%
0.36 1
 
< 0.1%
1.0 2
 
0.1%
2.75 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 6
 
0.3%
5.0 1
 
< 0.1%
47.0 1
 
< 0.1%
ValueCountFrequency (%)
47.0 1
 
< 0.1%
5.0 1
 
< 0.1%
3.3 6
 
0.3%
3.0 1
 
< 0.1%
2.75 1
 
< 0.1%
1.0 2
 
0.1%
0.36 1
 
< 0.1%
0.0 2258
95.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2371
Missing (%)100.0%
Memory size21.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2371
Missing (%)100.0%
Memory size21.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2371
Missing (%)100.0%
Memory size21.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030700003070000-112-1984-0001319840317<NA>1영업/정상1영업<NA><NA><NA><NA>02 7642420<NA>136821서울특별시 성북구 성북동 114-2서울특별시 성북구 성북로 115 (성북동)2879성북돼지갈비2002-01-10 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업199581.976967454551.597521식품자동판매기영업<NA><NA>기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
130700003070000-112-1984-0038019840724<NA>3폐업2폐업20031002<NA><NA><NA>02 957263<NA>136082서울특별시 성북구 보문동2가 5-4<NA><NA>한성독서실2002-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업201418.937117453854.320698식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230700003070000-112-1984-0068619840824<NA>3폐업2폐업20030703<NA><NA><NA>02 9406114<NA>136858서울특별시 성북구 종암동 8-2<NA><NA>국민은행2002-01-22 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업203168.772465454636.255716식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330700003070000-112-1986-0008219860308<NA>3폐업2폐업20180604<NA><NA><NA>02 958010<NA>136045서울특별시 성북구 삼선동5가 411-0서울특별시 성북구 보문로 168 (삼선동5가)2848성북구청식당위원회2018-06-04 17:22:02I2018-08-31 23:59:59.0식품자동판매기영업201416.773357454126.789905식품자동판매기영업<NA><NA>기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
430700003070000-112-1986-0008319860308<NA>3폐업2폐업20210430<NA><NA><NA>02 958010<NA>136045서울특별시 성북구 삼선동5가 411-0서울특별시 성북구 보문로 168 (삼선동5가)2848성북구청청사내자판기2021-04-30 11:04:38U2021-05-02 02:40:00.0식품자동판매기영업201416.773357454126.789905식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530700003070000-112-1986-0022419860109<NA>3폐업2폐업20010622<NA><NA><NA>02<NA>136890서울특별시 성북구 돈암동 48-53<NA><NA>고명분식2002-01-11 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업201753.454338455143.403631식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630700003070000-112-1986-0024919861025<NA>3폐업2폐업20050215<NA><NA><NA>02 9238304<NA>136060서울특별시 성북구 돈암동 65-88<NA><NA>고명상고2005-02-15 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>
730700003070000-112-1988-0001519881026<NA>3폐업2폐업20130215<NA><NA><NA>02 7639366<NA>136823서울특별시 성북구 성북동 256-1서울특별시 성북구 성북로 136 (성북동)2838금왕돈까스2002-01-10 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업199453.359808454717.334083식품자동판매기영업<NA><NA>기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
830700003070000-112-1988-0004419881025<NA>3폐업2폐업19991009<NA><NA><NA>02 7428388<NA>136032서울특별시 성북구 동소문동2가 16-0<NA><NA>신일안경2005-02-15 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업200599.789114454059.403216식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930700003070000-112-1988-0004519881025<NA>3폐업2폐업19991009<NA><NA><NA>02<NA>136032서울특별시 성북구 동소문동2가 16-0<NA><NA>신일안경2005-02-15 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업200599.789114454059.403216식품자동판매기영업<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
236130700003070000-112-2023-000242023-11-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.36136-851서울특별시 성북구 정릉동 492-5서울특별시 성북구 아리랑로19길 56, 지하1층 102호 (정릉동)2813데이롱카페 정릉역점2023-11-29 14:52:15I2022-11-02 00:01:00.0식품자동판매기영업200849.220546455555.914717<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
236230700003070000-112-2024-000012024-02-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3136-857서울특별시 성북구 정릉동 산 16-1 서경대학교서울특별시 성북구 서경로 124, 서경대학교 북악관 지하1층 (정릉동)2713지에스25 서경대북악관점2024-02-15 16:02:50I2023-12-01 23:07:00.0식품자동판매기영업201027.728455456975.034276<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
236330700003070000-112-2024-000022024-02-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>136-891서울특별시 성북구 돈암동 538-192서울특별시 성북구 아리랑로12길 3, 2층 (돈암동)2827아리랑로 12길 32024-02-16 16:12:24I2023-12-01 23:08:00.0식품자동판매기영업201184.346975455214.833617<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
236430700003070000-112-2024-000032024-02-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3136-832서울특별시 성북구 장위동 307-69서울특별시 성북구 한천로101길 9-3, 지상1층 (장위동)2759컬러링마인드2024-02-23 14:37:54I2023-12-01 22:05:00.0식품자동판매기영업204371.7151457819.802527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
236530700003070000-112-2024-000042024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3136-044서울특별시 성북구 삼선동4가 361 나강빌서울특별시 성북구 보문로34길 7-4, 나강빌 지상1층 (삼선동4가)2847나강무인매장2024-02-28 13:50:48I2023-12-03 00:01:00.0식품자동판매기영업201332.21908454230.01249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
236630700003070000-112-2024-000052024-03-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>7.0136-865서울특별시 성북구 하월곡동 35-1 월곡역서울특별시 성북구 월곡로 지하 107, 월곡역 지하1층 (하월곡동)2751지에스25(GS25)S6월곡역점2024-03-05 10:31:51I2023-12-03 00:07:00.0식품자동판매기영업203587.685486455492.600201<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
236730700003070000-112-2024-000062024-03-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>27.6136-890서울특별시 성북구 돈암동 48-15 송암빌딩서울특별시 성북구 동소문로 179-48, 송암빌딩 102호 (돈암동)2817데이롱 카페 성북돈암점2024-03-25 13:52:45I2023-12-02 22:07:00.0식품자동판매기영업201772.369185455120.878641<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
236830700003070000-112-2024-000072024-03-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.87136-037서울특별시 성북구 동소문동7가 120 브라운스톤동선 상가동 106호서울특별시 성북구 아리랑로5길 25, 상가동 106호 (동소문동7가, 브라운스톤동선)2830커피키퍼2024-03-26 14:36:35I2023-12-02 22:08:00.0식품자동판매기영업201147.986623454890.756341<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
236930700003070000-112-2024-000082024-04-25<NA>1영업/정상1영업<NA><NA><NA><NA>0292724203.3136-820서울특별시 성북구 석관동 349-8 돌곶이역서울특별시 성북구 화랑로 지하 243, 돌곶이역 지하1층 (석관동)2772지에스25 S6 돌곶이역점2024-04-25 11:25:17I2023-12-03 22:07:00.0식품자동판매기영업204976.294641456476.352612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
237030700003070000-112-2024-000092024-05-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.6136-818서울특별시 성북구 석관동 250-12서울특별시 성북구 돌곶이로18길 3-9, 1층 (석관동)2784석관청소년센터2024-05-02 15:06:20I2023-12-05 00:05:00.0식품자동판매기영업205127.21487456357.474155<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>