Overview

Dataset statistics

Number of variables44
Number of observations2626
Missing cells26560
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory964.4 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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-18240/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업상태코드 is highly imbalanced (56.0%)Imbalance
영업상태명 is highly imbalanced (56.0%)Imbalance
상세영업상태코드 is highly imbalanced (56.0%)Imbalance
상세영업상태명 is highly imbalanced (56.0%)Imbalance
데이터갱신구분 is highly imbalanced (65.7%)Imbalance
위생업태명 is highly imbalanced (76.1%)Imbalance
남성종사자수 is highly imbalanced (50.3%)Imbalance
급수시설구분명 is highly imbalanced (98.4%)Imbalance
총인원 is highly imbalanced (90.5%)Imbalance
본사종업원수 is highly imbalanced (53.6%)Imbalance
인허가취소일자 has 2626 (100.0%) missing valuesMissing
폐업일자 has 239 (9.1%) missing valuesMissing
휴업시작일자 has 2626 (100.0%) missing valuesMissing
휴업종료일자 has 2626 (100.0%) missing valuesMissing
재개업일자 has 2626 (100.0%) missing valuesMissing
전화번호 has 380 (14.5%) missing valuesMissing
소재지면적 has 2211 (84.2%) missing valuesMissing
도로명주소 has 2143 (81.6%) missing valuesMissing
도로명우편번호 has 2151 (81.9%) missing valuesMissing
좌표정보(X) has 420 (16.0%) missing valuesMissing
좌표정보(Y) has 420 (16.0%) missing valuesMissing
다중이용업소여부 has 103 (3.9%) missing valuesMissing
시설총규모 has 103 (3.9%) missing valuesMissing
전통업소지정번호 has 2626 (100.0%) missing valuesMissing
전통업소주된음식 has 2626 (100.0%) missing valuesMissing
홈페이지 has 2626 (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 158 (6.0%) zerosZeros
시설총규모 has 2358 (89.8%) zerosZeros

Reproduction

Analysis started2024-04-17 12:30:23.970763
Analysis finished2024-04-17 12:30:25.254952
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
3130000
2626 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3130000 2626
100.0%

Length

2024-04-17T21:30:25.303995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:25.373616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 2626
100.0%

관리번호
Text

UNIQUE 

Distinct2626
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2024-04-17T21:30:25.504538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters57772
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

Unique2626 ?
Unique (%)100.0%

Sample

1st row3130000-112-1981-00064
2nd row3130000-112-1981-00066
3rd row3130000-112-1981-00068
4th row3130000-112-1981-01143
5th row3130000-112-1983-00069
ValueCountFrequency (%)
3130000-112-1981-00064 1
 
< 0.1%
3130000-112-2003-00092 1
 
< 0.1%
3130000-112-2002-00032 1
 
< 0.1%
3130000-112-2002-00040 1
 
< 0.1%
3130000-112-2002-00033 1
 
< 0.1%
3130000-112-2002-00034 1
 
< 0.1%
3130000-112-2002-00035 1
 
< 0.1%
3130000-112-2002-00036 1
 
< 0.1%
3130000-112-2002-00037 1
 
< 0.1%
3130000-112-2002-00038 1
 
< 0.1%
Other values (2616) 2616
99.6%
2024-04-17T21:30:25.776998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18600
32.2%
1 11741
20.3%
- 7878
13.6%
3 6354
 
11.0%
2 5156
 
8.9%
9 3993
 
6.9%
8 930
 
1.6%
4 896
 
1.6%
5 780
 
1.4%
6 750
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49894
86.4%
Dash Punctuation 7878
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18600
37.3%
1 11741
23.5%
3 6354
 
12.7%
2 5156
 
10.3%
9 3993
 
8.0%
8 930
 
1.9%
4 896
 
1.8%
5 780
 
1.6%
6 750
 
1.5%
7 694
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 7878
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57772
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18600
32.2%
1 11741
20.3%
- 7878
13.6%
3 6354
 
11.0%
2 5156
 
8.9%
9 3993
 
6.9%
8 930
 
1.6%
4 896
 
1.6%
5 780
 
1.4%
6 750
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57772
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18600
32.2%
1 11741
20.3%
- 7878
13.6%
3 6354
 
11.0%
2 5156
 
8.9%
9 3993
 
6.9%
8 930
 
1.6%
4 896
 
1.6%
5 780
 
1.4%
6 750
 
1.3%

인허가일자
Date

Distinct1345
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
Minimum1981-08-28 00:00:00
Maximum2024-03-29 00:00:00
2024-04-17T21:30:25.893814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:30:25.999345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2626
Missing (%)100.0%
Memory size23.2 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
3
2387 
1
239 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2387
90.9%
1 239
 
9.1%

Length

2024-04-17T21:30:26.097343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:26.166963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2387
90.9%
1 239
 
9.1%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
폐업
2387 
영업/정상
239 

Length

Max length5
Median length2
Mean length2.2730388
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2387
90.9%
영업/정상 239
 
9.1%

Length

2024-04-17T21:30:26.243548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:26.315798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2387
90.9%
영업/정상 239
 
9.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2
2387 
1
239 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2387
90.9%
1 239
 
9.1%

Length

2024-04-17T21:30:26.393617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:26.480171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2387
90.9%
1 239
 
9.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
폐업
2387 
영업
239 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2387
90.9%
영업 239
 
9.1%

Length

2024-04-17T21:30:26.559764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:26.630284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2387
90.9%
영업 239
 
9.1%

폐업일자
Date

MISSING 

Distinct1407
Distinct (%)58.9%
Missing239
Missing (%)9.1%
Memory size20.6 KiB
Minimum1989-11-23 00:00:00
Maximum2024-04-08 00:00:00
2024-04-17T21:30:26.729093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:30:26.863697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2626
Missing (%)100.0%
Memory size23.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2626
Missing (%)100.0%
Memory size23.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2626
Missing (%)100.0%
Memory size23.2 KiB

전화번호
Text

MISSING 

Distinct1291
Distinct (%)57.5%
Missing380
Missing (%)14.5%
Memory size20.6 KiB
2024-04-17T21:30:27.176619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.4608192
Min length2

Characters and Unicode

Total characters19003
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

Unique1217 ?
Unique (%)54.2%

Sample

1st row02
2nd row02
3rd row02
4th row02
5th row02
ValueCountFrequency (%)
02 1567
44.6%
0200000000 331
 
9.4%
00000 90
 
2.6%
3201053 35
 
1.0%
7040103 18
 
0.5%
0 9
 
0.3%
7163141 7
 
0.2%
0231414764 6
 
0.2%
6828322 6
 
0.2%
070 6
 
0.2%
Other values (1306) 1438
40.9%
2024-04-17T21:30:27.572663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6141
32.3%
2 3213
16.9%
3 2134
 
11.2%
1520
 
8.0%
7 1231
 
6.5%
1 1184
 
6.2%
4 837
 
4.4%
6 780
 
4.1%
5 733
 
3.9%
9 617
 
3.2%
Other values (2) 613
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17482
92.0%
Space Separator 1520
 
8.0%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6141
35.1%
2 3213
18.4%
3 2134
 
12.2%
7 1231
 
7.0%
1 1184
 
6.8%
4 837
 
4.8%
6 780
 
4.5%
5 733
 
4.2%
9 617
 
3.5%
8 612
 
3.5%
Space Separator
ValueCountFrequency (%)
1520
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19003
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6141
32.3%
2 3213
16.9%
3 2134
 
11.2%
1520
 
8.0%
7 1231
 
6.5%
1 1184
 
6.2%
4 837
 
4.4%
6 780
 
4.1%
5 733
 
3.9%
9 617
 
3.2%
Other values (2) 613
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19003
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6141
32.3%
2 3213
16.9%
3 2134
 
11.2%
1520
 
8.0%
7 1231
 
6.5%
1 1184
 
6.2%
4 837
 
4.4%
6 780
 
4.1%
5 733
 
3.9%
9 617
 
3.2%
Other values (2) 613
 
3.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)9.9%
Missing2211
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean3.3237108
Minimum0
Maximum72.7
Zeros158
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-04-17T21:30:27.697849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.3
Q33.3
95-th percentile9.76
Maximum72.7
Range72.7
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation7.0173538
Coefficient of variation (CV)2.1113009
Kurtosis44.045627
Mean3.3237108
Median Absolute Deviation (MAD)1.02
Skewness5.9778121
Sum1379.34
Variance49.243254
MonotonicityNot monotonic
2024-04-17T21:30:27.793661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3.3 193
 
7.3%
0.0 158
 
6.0%
6.6 7
 
0.3%
1.0 7
 
0.3%
3.0 5
 
0.2%
2.0 4
 
0.2%
5.0 3
 
0.1%
10.0 2
 
0.1%
2.21 2
 
0.1%
3.5 2
 
0.1%
Other values (31) 32
 
1.2%
(Missing) 2211
84.2%
ValueCountFrequency (%)
0.0 158
6.0%
1.0 7
 
0.3%
1.5 1
 
< 0.1%
1.6 1
 
< 0.1%
2.0 4
 
0.2%
2.21 2
 
0.1%
2.28 1
 
< 0.1%
2.4 1
 
< 0.1%
2.64 1
 
< 0.1%
3.0 5
 
0.2%
ValueCountFrequency (%)
72.7 1
< 0.1%
59.51 1
< 0.1%
54.93 1
< 0.1%
46.66 1
< 0.1%
30.6 1
< 0.1%
26.95 1
< 0.1%
26.44 1
< 0.1%
26.41 1
< 0.1%
26.4 1
< 0.1%
25.6 1
< 0.1%

소재지우편번호
Text

Distinct180
Distinct (%)6.9%
Missing4
Missing (%)0.2%
Memory size20.6 KiB
2024-04-17T21:30:28.043430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.020595
Min length6

Characters and Unicode

Total characters15786
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

Unique55 ?
Unique (%)2.1%

Sample

1st row121807
2nd row121854
3rd row121803
4th row121812
5th row121841
ValueCountFrequency (%)
121812 110
 
4.2%
121806 78
 
3.0%
121807 71
 
2.7%
121805 66
 
2.5%
121809 61
 
2.3%
121854 58
 
2.2%
121828 56
 
2.1%
121859 53
 
2.0%
121801 48
 
1.8%
121874 47
 
1.8%
Other values (170) 1974
75.3%
2024-04-17T21:30:28.394332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5796
36.7%
2 3183
20.2%
8 2954
18.7%
0 885
 
5.6%
5 603
 
3.8%
7 518
 
3.3%
9 478
 
3.0%
4 449
 
2.8%
6 442
 
2.8%
3 424
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15732
99.7%
Dash Punctuation 54
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5796
36.8%
2 3183
20.2%
8 2954
18.8%
0 885
 
5.6%
5 603
 
3.8%
7 518
 
3.3%
9 478
 
3.0%
4 449
 
2.9%
6 442
 
2.8%
3 424
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15786
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5796
36.7%
2 3183
20.2%
8 2954
18.7%
0 885
 
5.6%
5 603
 
3.8%
7 518
 
3.3%
9 478
 
3.0%
4 449
 
2.8%
6 442
 
2.8%
3 424
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15786
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5796
36.7%
2 3183
20.2%
8 2954
18.7%
0 885
 
5.6%
5 603
 
3.8%
7 518
 
3.3%
9 478
 
3.0%
4 449
 
2.8%
6 442
 
2.8%
3 424
 
2.7%

지번주소
Text

Distinct2284
Distinct (%)87.1%
Missing4
Missing (%)0.2%
Memory size20.6 KiB
2024-04-17T21:30:28.691853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length45
Mean length23.346301
Min length17

Characters and Unicode

Total characters61214
Distinct characters477
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

Unique2092 ?
Unique (%)79.8%

Sample

1st row서울특별시 마포구 노고산동 57-16 전내과의원
2nd row서울특별시 마포구 신수동 1-1 롯데산업
3rd row서울특별시 마포구 공덕동 256-5 공덕시장내
4th row서울특별시 마포구 도화동 174-7
5th row서울특별시 마포구 서교동 447-4
ValueCountFrequency (%)
마포구 2623
21.8%
서울특별시 2622
21.8%
서교동 261
 
2.2%
공덕동 250
 
2.1%
망원동 228
 
1.9%
성산동 214
 
1.8%
도화동 185
 
1.5%
1층 178
 
1.5%
합정동 174
 
1.4%
아현동 171
 
1.4%
Other values (2793) 5135
42.6%
2024-04-17T21:30:29.107105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11935
19.5%
서 2972
 
4.9%
동 2826
 
4.6%
마 2718
 
4.4%
포 2706
 
4.4%
구 2699
 
4.4%
시 2647
 
4.3%
울 2632
 
4.3%
별 2624
 
4.3%
특 2623
 
4.3%
Other values (467) 24832
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34887
57.0%
Space Separator 11935
 
19.5%
Decimal Number 11524
 
18.8%
Dash Punctuation 2422
 
4.0%
Close Punctuation 138
 
0.2%
Open Punctuation 138
 
0.2%
Uppercase Letter 109
 
0.2%
Other Punctuation 43
 
0.1%
Lowercase Letter 17
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2972
 
8.5%
동 2826
 
8.1%
마 2718
 
7.8%
포 2706
 
7.8%
구 2699
 
7.7%
시 2647
 
7.6%
울 2632
 
7.5%
별 2624
 
7.5%
특 2623
 
7.5%
교 419
 
1.2%
Other values (421) 10021
28.7%
Uppercase Letter
ValueCountFrequency (%)
C 23
21.1%
M 13
11.9%
D 11
10.1%
S 9
 
8.3%
T 8
 
7.3%
B 8
 
7.3%
G 7
 
6.4%
F 7
 
6.4%
K 5
 
4.6%
L 4
 
3.7%
Other values (8) 14
12.8%
Decimal Number
ValueCountFrequency (%)
1 2387
20.7%
2 1473
12.8%
3 1393
12.1%
4 1348
11.7%
5 1133
9.8%
0 907
 
7.9%
6 890
 
7.7%
7 719
 
6.2%
8 710
 
6.2%
9 564
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
i 3
17.6%
t 3
17.6%
y 3
17.6%
w 2
11.8%
o 2
11.8%
e 2
11.8%
r 2
11.8%
Other Punctuation
ValueCountFrequency (%)
, 24
55.8%
. 10
23.3%
@ 6
 
14.0%
& 1
 
2.3%
: 1
 
2.3%
/ 1
 
2.3%
Space Separator
ValueCountFrequency (%)
11935
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34887
57.0%
Common 26200
42.8%
Latin 127
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2972
 
8.5%
동 2826
 
8.1%
마 2718
 
7.8%
포 2706
 
7.8%
구 2699
 
7.7%
시 2647
 
7.6%
울 2632
 
7.5%
별 2624
 
7.5%
특 2623
 
7.5%
교 419
 
1.2%
Other values (421) 10021
28.7%
Latin
ValueCountFrequency (%)
C 23
18.1%
M 13
10.2%
D 11
 
8.7%
S 9
 
7.1%
T 8
 
6.3%
B 8
 
6.3%
G 7
 
5.5%
F 7
 
5.5%
K 5
 
3.9%
L 4
 
3.1%
Other values (16) 32
25.2%
Common
ValueCountFrequency (%)
11935
45.6%
- 2422
 
9.2%
1 2387
 
9.1%
2 1473
 
5.6%
3 1393
 
5.3%
4 1348
 
5.1%
5 1133
 
4.3%
0 907
 
3.5%
6 890
 
3.4%
7 719
 
2.7%
Other values (10) 1593
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34887
57.0%
ASCII 26326
43.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11935
45.3%
- 2422
 
9.2%
1 2387
 
9.1%
2 1473
 
5.6%
3 1393
 
5.3%
4 1348
 
5.1%
5 1133
 
4.3%
0 907
 
3.4%
6 890
 
3.4%
7 719
 
2.7%
Other values (35) 1719
 
6.5%
Hangul
ValueCountFrequency (%)
서 2972
 
8.5%
동 2826
 
8.1%
마 2718
 
7.8%
포 2706
 
7.8%
구 2699
 
7.7%
시 2647
 
7.6%
울 2632
 
7.5%
별 2624
 
7.5%
특 2623
 
7.5%
교 419
 
1.2%
Other values (421) 10021
28.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct472
Distinct (%)97.7%
Missing2143
Missing (%)81.6%
Memory size20.6 KiB
2024-04-17T21:30:29.327412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length50
Mean length33.3706
Min length21

Characters and Unicode

Total characters16118
Distinct characters318
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

Unique461 ?
Unique (%)95.4%

Sample

1st row서울특별시 마포구 신촌로 176 (대흥동)
2nd row서울특별시 마포구 마포대로 58 (도화동,(지하2층))
3rd row서울특별시 마포구 성산로2길 60 (성산동)
4th row서울특별시 마포구 백범로 23 (신수동)
5th row서울특별시 마포구 독막로3길 34 (서교동,1층)
ValueCountFrequency (%)
서울특별시 483
 
15.3%
마포구 483
 
15.3%
1층 159
 
5.1%
상암동 53
 
1.7%
지하 50
 
1.6%
서교동 49
 
1.6%
마포대로 40
 
1.3%
성산동 35
 
1.1%
양화로 33
 
1.0%
백범로 30
 
1.0%
Other values (749) 1732
55.0%
2024-04-17T21:30:29.663806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2667
 
16.5%
1 690
 
4.3%
마 585
 
3.6%
포 578
 
3.6%
서 570
 
3.5%
동 553
 
3.4%
) 509
 
3.2%
( 509
 
3.2%
구 505
 
3.1%
시 495
 
3.1%
Other values (308) 8457
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9682
60.1%
Space Separator 2667
 
16.5%
Decimal Number 2133
 
13.2%
Close Punctuation 509
 
3.2%
Open Punctuation 509
 
3.2%
Other Punctuation 464
 
2.9%
Uppercase Letter 86
 
0.5%
Dash Punctuation 49
 
0.3%
Lowercase Letter 17
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 585
 
6.0%
포 578
 
6.0%
서 570
 
5.9%
동 553
 
5.7%
구 505
 
5.2%
시 495
 
5.1%
울 493
 
5.1%
별 485
 
5.0%
특 484
 
5.0%
로 460
 
4.8%
Other values (263) 4474
46.2%
Uppercase Letter
ValueCountFrequency (%)
C 17
19.8%
S 10
11.6%
M 10
11.6%
B 9
10.5%
D 8
9.3%
G 8
9.3%
T 6
 
7.0%
K 5
 
5.8%
I 3
 
3.5%
L 2
 
2.3%
Other values (8) 8
9.3%
Decimal Number
ValueCountFrequency (%)
1 690
32.3%
2 303
14.2%
3 193
 
9.0%
0 178
 
8.3%
4 156
 
7.3%
5 149
 
7.0%
6 144
 
6.8%
8 109
 
5.1%
7 106
 
5.0%
9 105
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
y 3
17.6%
i 3
17.6%
t 3
17.6%
r 2
11.8%
e 2
11.8%
w 2
11.8%
o 2
11.8%
Other Punctuation
ValueCountFrequency (%)
, 461
99.4%
. 1
 
0.2%
& 1
 
0.2%
: 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2667
100.0%
Close Punctuation
ValueCountFrequency (%)
) 509
100.0%
Open Punctuation
ValueCountFrequency (%)
( 509
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9682
60.1%
Common 6332
39.3%
Latin 104
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 585
 
6.0%
포 578
 
6.0%
서 570
 
5.9%
동 553
 
5.7%
구 505
 
5.2%
시 495
 
5.1%
울 493
 
5.1%
별 485
 
5.0%
특 484
 
5.0%
로 460
 
4.8%
Other values (263) 4474
46.2%
Latin
ValueCountFrequency (%)
C 17
16.3%
S 10
 
9.6%
M 10
 
9.6%
B 9
 
8.7%
D 8
 
7.7%
G 8
 
7.7%
T 6
 
5.8%
K 5
 
4.8%
y 3
 
2.9%
i 3
 
2.9%
Other values (16) 25
24.0%
Common
ValueCountFrequency (%)
2667
42.1%
1 690
 
10.9%
) 509
 
8.0%
( 509
 
8.0%
, 461
 
7.3%
2 303
 
4.8%
3 193
 
3.0%
0 178
 
2.8%
4 156
 
2.5%
5 149
 
2.4%
Other values (9) 517
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9682
60.1%
ASCII 6435
39.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2667
41.4%
1 690
 
10.7%
) 509
 
7.9%
( 509
 
7.9%
, 461
 
7.2%
2 303
 
4.7%
3 193
 
3.0%
0 178
 
2.8%
4 156
 
2.4%
5 149
 
2.3%
Other values (34) 620
 
9.6%
Hangul
ValueCountFrequency (%)
마 585
 
6.0%
포 578
 
6.0%
서 570
 
5.9%
동 553
 
5.7%
구 505
 
5.2%
시 495
 
5.1%
울 493
 
5.1%
별 485
 
5.0%
특 484
 
5.0%
로 460
 
4.8%
Other values (263) 4474
46.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct188
Distinct (%)39.6%
Missing2151
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean4053.1937
Minimum3900
Maximum4213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-04-17T21:30:29.773287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3900
5-th percentile3909
Q13974
median4052
Q34115.5
95-th percentile4201.3
Maximum4213
Range313
Interquartile range (IQR)141.5

Descriptive statistics

Standard deviation89.267131
Coefficient of variation (CV)0.0220239
Kurtosis-1.0837855
Mean4053.1937
Median Absolute Deviation (MAD)75
Skewness0.012928875
Sum1925267
Variance7968.6206
MonotonicityNot monotonic
2024-04-17T21:30:29.901390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3930 10
 
0.4%
3938 9
 
0.3%
4104 9
 
0.3%
4037 8
 
0.3%
4207 7
 
0.3%
4050 7
 
0.3%
4027 7
 
0.3%
4166 7
 
0.3%
3964 7
 
0.3%
3902 6
 
0.2%
Other values (178) 398
 
15.2%
(Missing) 2151
81.9%
ValueCountFrequency (%)
3900 3
0.1%
3902 6
0.2%
3905 2
 
0.1%
3906 5
0.2%
3907 3
0.1%
3908 2
 
0.1%
3909 5
0.2%
3912 1
 
< 0.1%
3918 2
 
0.1%
3922 2
 
0.1%
ValueCountFrequency (%)
4213 2
 
0.1%
4212 1
 
< 0.1%
4211 2
 
0.1%
4209 4
0.2%
4208 3
0.1%
4207 7
0.3%
4205 1
 
< 0.1%
4202 4
0.2%
4201 1
 
< 0.1%
4196 5
0.2%

사업장명
Text

Distinct2200
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2024-04-17T21:30:30.116758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length5.845773
Min length1

Characters and Unicode

Total characters15351
Distinct characters641
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1992 ?
Unique (%)75.9%

Sample

1st row전내과의원
2nd row롯데산업
3rd row농협축산물직매소
4th row신탁은행마포지점
5th row영신주차장
ValueCountFrequency (%)
씨유 38
 
1.3%
홍익대학교후생센터 35
 
1.2%
gs25 17
 
0.6%
주)덕은 14
 
0.5%
캐리어lg유한회사 14
 
0.5%
서강대 14
 
0.5%
엘지산전(주 13
 
0.5%
공덕빌딩 13
 
0.5%
주)휘닉스벤딩서비스 11
 
0.4%
6호선 10
 
0.4%
Other values (2249) 2637
93.6%
2024-04-17T21:30:30.460753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 316
 
2.1%
마 278
 
1.8%
대 263
 
1.7%
성 199
 
1.3%
사 196
 
1.3%
지 194
 
1.3%
서 194
 
1.3%
193
 
1.3%
스 187
 
1.2%
이 187
 
1.2%
Other values (631) 13144
85.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14143
92.1%
Decimal Number 405
 
2.6%
Uppercase Letter 254
 
1.7%
Space Separator 193
 
1.3%
Close Punctuation 167
 
1.1%
Open Punctuation 164
 
1.1%
Other Punctuation 14
 
0.1%
Dash Punctuation 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 316
 
2.2%
마 278
 
2.0%
대 263
 
1.9%
성 199
 
1.4%
사 196
 
1.4%
지 194
 
1.4%
서 194
 
1.4%
스 187
 
1.3%
이 187
 
1.3%
식 179
 
1.3%
Other values (586) 11950
84.5%
Uppercase Letter
ValueCountFrequency (%)
G 66
26.0%
S 54
21.3%
C 32
12.6%
L 21
 
8.3%
U 18
 
7.1%
M 8
 
3.1%
B 7
 
2.8%
D 7
 
2.8%
T 5
 
2.0%
Y 5
 
2.0%
Other values (12) 31
12.2%
Decimal Number
ValueCountFrequency (%)
2 158
39.0%
5 87
21.5%
4 41
 
10.1%
1 37
 
9.1%
6 32
 
7.9%
0 20
 
4.9%
3 13
 
3.2%
8 7
 
1.7%
7 5
 
1.2%
9 5
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 8
57.1%
? 2
 
14.3%
, 2
 
14.3%
& 2
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 166
99.4%
] 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
u 2
66.7%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
193
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14144
92.1%
Common 950
 
6.2%
Latin 257
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 316
 
2.2%
마 278
 
2.0%
대 263
 
1.9%
성 199
 
1.4%
사 196
 
1.4%
지 194
 
1.4%
서 194
 
1.4%
스 187
 
1.3%
이 187
 
1.3%
식 179
 
1.3%
Other values (587) 11951
84.5%
Latin
ValueCountFrequency (%)
G 66
25.7%
S 54
21.0%
C 32
12.5%
L 21
 
8.2%
U 18
 
7.0%
M 8
 
3.1%
B 7
 
2.7%
D 7
 
2.7%
T 5
 
1.9%
Y 5
 
1.9%
Other values (14) 34
13.2%
Common
ValueCountFrequency (%)
193
20.3%
) 166
17.5%
( 164
17.3%
2 158
16.6%
5 87
9.2%
4 41
 
4.3%
1 37
 
3.9%
6 32
 
3.4%
0 20
 
2.1%
3 13
 
1.4%
Other values (10) 39
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14142
92.1%
ASCII 1207
 
7.9%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 316
 
2.2%
마 278
 
2.0%
대 263
 
1.9%
성 199
 
1.4%
사 196
 
1.4%
지 194
 
1.4%
서 194
 
1.4%
스 187
 
1.3%
이 187
 
1.3%
식 179
 
1.3%
Other values (585) 11949
84.5%
ASCII
ValueCountFrequency (%)
193
16.0%
) 166
13.8%
( 164
13.6%
2 158
13.1%
5 87
7.2%
G 66
 
5.5%
S 54
 
4.5%
4 41
 
3.4%
1 37
 
3.1%
C 32
 
2.7%
Other values (34) 209
17.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅏ 1
100.0%

최종수정일자
Date

Distinct1160
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
Minimum1999-01-25 00:00:00
Maximum2024-04-08 16:28:01
2024-04-17T21:30:30.565856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:30:30.678294image/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 size20.6 KiB
I
2458 
U
 
168

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 2458
93.6%
U 168
 
6.4%

Length

2024-04-17T21:30:30.787185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:30.853789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2458
93.6%
u 168
 
6.4%

데이터갱신일자
Date

Distinct212
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:02:00
2024-04-17T21:30:30.941068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:30:31.282736image/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 size20.6 KiB
식품자동판매기영업
2626 

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 2626
100.0%

Length

2024-04-17T21:30:31.375034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:31.439778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2626
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1503
Distinct (%)68.1%
Missing420
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean193606.79
Minimum189087.36
Maximum196721.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-04-17T21:30:31.519245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189087.36
5-th percentile191153.03
Q1192247.45
median193440.72
Q3195120.82
95-th percentile196012.44
Maximum196721.09
Range7633.7345
Interquartile range (IQR)2873.3685

Descriptive statistics

Standard deviation1646.3357
Coefficient of variation (CV)0.0085035014
Kurtosis-0.97760091
Mean193606.79
Median Absolute Deviation (MAD)1472.1345
Skewness-0.16122556
Sum4.2709659 × 108
Variance2710421.1
MonotonicityNot monotonic
2024-04-17T21:30:31.627340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193359.27190055 39
 
1.5%
195665.095236718 27
 
1.0%
195292.972627854 26
 
1.0%
195829.154836156 22
 
0.8%
194413.169802204 20
 
0.8%
194825.399039733 14
 
0.5%
195734.571727895 14
 
0.5%
195324.793653981 11
 
0.4%
196293.231026739 10
 
0.4%
192414.026879919 10
 
0.4%
Other values (1493) 2013
76.7%
(Missing) 420
 
16.0%
ValueCountFrequency (%)
189087.35829507 1
< 0.1%
189168.236622007 1
< 0.1%
189192.411433557 1
< 0.1%
189195.406463776 1
< 0.1%
189212.708916184 1
< 0.1%
189212.737535822 1
< 0.1%
189272.800655 1
< 0.1%
189277.694632175 1
< 0.1%
189392.975995366 1
< 0.1%
189409.319972063 1
< 0.1%
ValueCountFrequency (%)
196721.09277056 1
< 0.1%
196717.946323293 1
< 0.1%
196717.187733745 1
< 0.1%
196699.188309549 1
< 0.1%
196697.293849028 1
< 0.1%
196690.370757397 1
< 0.1%
196673.191662878 1
< 0.1%
196604.277736784 1
< 0.1%
196594.39064686 1
< 0.1%
196583.868057127 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1503
Distinct (%)68.1%
Missing420
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean450102.54
Minimum448229.06
Maximum453872.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-04-17T21:30:31.736805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448229.06
5-th percentile448692.74
Q1449458.45
median450107.07
Q3450508.03
95-th percentile451782
Maximum453872.43
Range5643.362
Interquartile range (IQR)1049.5752

Descriptive statistics

Standard deviation935.42967
Coefficient of variation (CV)0.002078259
Kurtosis1.2916805
Mean450102.54
Median Absolute Deviation (MAD)552.58115
Skewness0.8244434
Sum9.929262 × 108
Variance875028.66
MonotonicityNot monotonic
2024-04-17T21:30:31.838259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449831.533270543 39
 
1.5%
449265.007135047 27
 
1.0%
449083.060282147 26
 
1.0%
449552.640223444 22
 
0.8%
450268.8345718 20
 
0.8%
449865.199815856 14
 
0.5%
449230.050577651 14
 
0.5%
448885.430093289 11
 
0.4%
449687.009632648 10
 
0.4%
449415.212679165 10
 
0.4%
Other values (1493) 2013
76.7%
(Missing) 420
 
16.0%
ValueCountFrequency (%)
448229.063825491 3
0.1%
448236.655548283 4
0.2%
448276.965250949 1
 
< 0.1%
448298.860130793 1
 
< 0.1%
448331.067134872 1
 
< 0.1%
448332.967337527 1
 
< 0.1%
448336.153416428 1
 
< 0.1%
448380.401577938 1
 
< 0.1%
448396.766712926 3
0.1%
448398.123534477 1
 
< 0.1%
ValueCountFrequency (%)
453872.42578746 1
 
< 0.1%
453685.460423342 1
 
< 0.1%
453614.583448105 1
 
< 0.1%
453579.730106 1
 
< 0.1%
453468.379147545 1
 
< 0.1%
453468.335655795 1
 
< 0.1%
453459.525588653 1
 
< 0.1%
453390.246056 1
 
< 0.1%
453302.04990022 3
0.1%
453271.198852486 2
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
식품자동판매기영업
2523 
<NA>
 
103

Length

Max length9
Median length9
Mean length8.8038842
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 2523
96.1%
<NA> 103
 
3.9%

Length

2024-04-17T21:30:31.940205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:32.009238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2523
96.1%
na 103
 
3.9%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
0
1557 
<NA>
1064 
1
 
4
69
 
1

Length

Max length4
Median length1
Mean length2.2159177
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1557
59.3%
<NA> 1064
40.5%
1 4
 
0.2%
69 1
 
< 0.1%

Length

2024-04-17T21:30:32.088737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:32.167671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1557
59.3%
na 1064
40.5%
1 4
 
0.2%
69 1
 
< 0.1%

여성종사자수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
0
1561 
<NA>
1064 
69
 
1

Length

Max length4
Median length1
Mean length2.2159177
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1561
59.4%
<NA> 1064
40.5%
69 1
 
< 0.1%

Length

2024-04-17T21:30:32.267261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:32.343247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1561
59.4%
na 1064
40.5%
69 1
 
< 0.1%

영업장주변구분명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
기타
1628 
<NA>
976 
학교정화(상대)
 
20
결혼예식장주변
 
2

Length

Max length8
Median length2
Mean length2.7928408
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1628
62.0%
<NA> 976
37.2%
학교정화(상대) 20
 
0.8%
결혼예식장주변 2
 
0.1%

Length

2024-04-17T21:30:32.426195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:32.503274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1628
62.0%
na 976
37.2%
학교정화(상대 20
 
0.8%
결혼예식장주변 2
 
0.1%

등급구분명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
기타
1579 
<NA>
976 
지도
 
70
자율
 
1

Length

Max length4
Median length2
Mean length2.7433359
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1579
60.1%
<NA> 976
37.2%
지도 70
 
2.7%
자율 1
 
< 0.1%

Length

2024-04-17T21:30:32.600186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:32.686846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1579
60.1%
na 976
37.2%
지도 70
 
2.7%
자율 1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
<NA>
2622 
상수도전용
 
4

Length

Max length5
Median length4
Mean length4.0015232
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> 2622
99.8%
상수도전용 4
 
0.2%

Length

2024-04-17T21:30:32.768324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:32.843869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2622
99.8%
상수도전용 4
 
0.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
<NA>
2594 
0
 
32

Length

Max length4
Median length4
Mean length3.9634425
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> 2594
98.8%
0 32
 
1.2%

Length

2024-04-17T21:30:32.930174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:33.014071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2594
98.8%
0 32
 
1.2%

본사종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
<NA>
2089 
0
536 
1
 
1

Length

Max length4
Median length4
Mean length3.3865194
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2089
79.6%
0 536
 
20.4%
1 1
 
< 0.1%

Length

2024-04-17T21:30:33.090200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:33.165007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2089
79.6%
0 536
 
20.4%
1 1
 
< 0.1%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
<NA>
2090 
0
536 

Length

Max length4
Median length4
Mean length3.3876618
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> 2090
79.6%
0 536
 
20.4%

Length

2024-04-17T21:30:33.255098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:33.325606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2090
79.6%
0 536
 
20.4%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
<NA>
2090 
0
536 

Length

Max length4
Median length4
Mean length3.3876618
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> 2090
79.6%
0 536
 
20.4%

Length

2024-04-17T21:30:33.404590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:33.491338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2090
79.6%
0 536
 
20.4%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
<NA>
2090 
0
536 

Length

Max length4
Median length4
Mean length3.3876618
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> 2090
79.6%
0 536
 
20.4%

Length

2024-04-17T21:30:33.567384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:33.641375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2090
79.6%
0 536
 
20.4%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
<NA>
1986 
자가
622 
임대
 
18

Length

Max length4
Median length4
Mean length3.5125666
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> 1986
75.6%
자가 622
 
23.7%
임대 18
 
0.7%

Length

2024-04-17T21:30:33.723628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:33.803764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1986
75.6%
자가 622
 
23.7%
임대 18
 
0.7%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
<NA>
2119 
0
507 

Length

Max length4
Median length4
Mean length3.4207921
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> 2119
80.7%
0 507
 
19.3%

Length

2024-04-17T21:30:33.882379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:33.954774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2119
80.7%
0 507
 
19.3%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
<NA>
2119 
0
507 

Length

Max length4
Median length4
Mean length3.4207921
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> 2119
80.7%
0 507
 
19.3%

Length

2024-04-17T21:30:34.033107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:30:34.108929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2119
80.7%
0 507
 
19.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing103
Missing (%)3.9%
Memory size5.3 KiB
False
2523 
(Missing)
 
103
ValueCountFrequency (%)
False 2523
96.1%
(Missing) 103
 
3.9%
2024-04-17T21:30:34.176803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.6%
Missing103
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean0.22682124
Minimum0
Maximum20
Zeros2358
Zeros (%)89.8%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-04-17T21:30:34.244103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.3
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9573369
Coefficient of variation (CV)4.2206668
Kurtosis87.962668
Mean0.22682124
Median Absolute Deviation (MAD)0
Skewness6.8494093
Sum572.27
Variance0.91649394
MonotonicityNot monotonic
2024-04-17T21:30:34.333388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 2358
89.8%
3.3 140
 
5.3%
1.0 6
 
0.2%
6.6 5
 
0.2%
2.0 2
 
0.1%
3.0 2
 
0.1%
2.21 2
 
0.1%
2.4 1
 
< 0.1%
3.6 1
 
< 0.1%
4.0 1
 
< 0.1%
Other values (5) 5
 
0.2%
(Missing) 103
 
3.9%
ValueCountFrequency (%)
0.0 2358
89.8%
1.0 6
 
0.2%
2.0 2
 
0.1%
2.21 2
 
0.1%
2.4 1
 
< 0.1%
3.0 2
 
0.1%
3.2 1
 
< 0.1%
3.3 140
 
5.3%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
ValueCountFrequency (%)
20.0 1
 
< 0.1%
10.0 1
 
< 0.1%
9.9 1
 
< 0.1%
6.6 5
 
0.2%
4.0 1
 
< 0.1%
3.75 1
 
< 0.1%
3.6 1
 
< 0.1%
3.3 140
5.3%
3.2 1
 
< 0.1%
3.0 2
 
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2626
Missing (%)100.0%
Memory size23.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2626
Missing (%)100.0%
Memory size23.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2626
Missing (%)100.0%
Memory size23.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031300003130000-112-1981-0006419810828<NA>3폐업2폐업20070817<NA><NA><NA>02<NA>121807서울특별시 마포구 노고산동 57-16 전내과의원<NA><NA>전내과의원2001-10-05 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업194234.264444450294.344756식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131300003130000-112-1981-0006619810909<NA>3폐업2폐업19990914<NA><NA><NA>02<NA>121854서울특별시 마포구 신수동 1-1 롯데산업<NA><NA>롯데산업2002-06-14 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업194564.277152449886.700377식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
231300003130000-112-1981-0006819810924<NA>1영업/정상1영업<NA><NA><NA><NA>02<NA>121803서울특별시 마포구 공덕동 256-5 공덕시장내<NA><NA>농협축산물직매소2001-10-05 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업195804.563732449216.311329식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
331300003130000-112-1981-0114319811015<NA>3폐업2폐업19990914<NA><NA><NA>02<NA>121812서울특별시 마포구 도화동 174-7<NA><NA>신탁은행마포지점2002-06-14 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업195347.842844448826.678349식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431300003130000-112-1983-0006919830315<NA>3폐업2폐업19990914<NA><NA><NA>02<NA>121841서울특별시 마포구 서교동 447-4<NA><NA>영신주차장2002-06-14 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업192787.96921450488.716303식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531300003130000-112-1983-0007019830315<NA>3폐업2폐업20051013<NA><NA><NA>0222770691<NA>121818서울특별시 마포구 동교동 173-2<NA><NA>제일은행 동교동지점2001-10-05 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업193501.63159450662.173419식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631300003130000-112-1983-0007319830322<NA>3폐업2폐업19990415<NA><NA><NA>02<NA>121806서울특별시 마포구 노고산동 31-7<NA><NA>한은신촌지점2001-10-05 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731300003130000-112-1983-0007519830322<NA>3폐업2폐업19980812<NA><NA><NA>02<NA>121873서울특별시 마포구 염리동 159-10<NA><NA>한국종합조경(주)2001-10-05 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업195140.983767449287.448968식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
831300003130000-112-1983-0007619830324<NA>3폐업2폐업20110809<NA><NA><NA>02<NA>121150서울특별시 마포구 하중동 5-11<NA><NA>경남식당2002-01-16 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
931300003130000-112-1983-0007719830324<NA>3폐업2폐업19980730<NA><NA><NA>02 0<NA>121807서울특별시 마포구 노고산동 56-90<NA><NA>강화운수2001-10-05 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업194083.98575450159.919775식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
261631300003130000-112-2023-000222023-08-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1.5121-889서울특별시 마포구 망원동 205-5서울특별시 마포구 마포나루길 435, 이마트24한강망원점 1층 (망원동)4005비터스위트2023-08-30 13:36:07I2022-12-09 00:01:00.0식품자동판매기영업190871.232107450149.734646<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
261731300003130000-112-2023-000232023-09-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>59.51121-801서울특별시 마포구 공덕동 113-21서울특별시 마포구 만리재옛길 54-6, 1층 101호 (공덕동)4208무인카페 메일빈24 공덕점2023-09-04 17:05:40I2022-12-09 00:06:00.0식품자동판매기영업196166.274061449560.733579<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
261831300003130000-112-2023-000242023-11-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3121-873서울특별시 마포구 염리동 155-11서울특별시 마포구 백범로 117, 1층 (염리동)4137씨유 염리대흥점2023-11-02 15:24:18I2022-11-01 00:04:00.0식품자동판매기영업195019.57017449417.970522<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
261931300003130000-112-2023-000252023-11-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.6121-814서울특별시 마포구 도화동 357 도화동현대아파트서울특별시 마포구 새창로 52, 상가 12동동 1층 150호 (도화동, 도화동현대아파트)4182카페프리헷 도화현대점2023-11-06 15:44:12I2022-11-01 00:08:00.0식품자동판매기영업195852.524254448575.779443<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
262031300003130000-112-2023-000262023-11-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>46.66121-120서울특별시 마포구 현석동 46-5서울특별시 마포구 신수로 26, 1층 (현석동)4091세븐데이즈카페 신수점2023-11-20 14:39:23I2022-10-31 22:02:00.0식품자동판매기영업194127.071011449073.986013<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
262131300003130000-112-2023-000272023-12-19<NA>1영업/정상1영업<NA><NA><NA><NA>02700 43271.0121-050서울특별시 마포구 마포동 230 서울특별시경찰청 광역수사단서울특별시 마포구 마포대로4가길 33, 서울특별시경찰청 광역수사단 지하1층 (마포동)4176수사마포청사 복지워원회(자판기)2023-12-19 15:53:28I2022-11-01 22:01:00.0식품자동판매기영업195080.489601448396.766713<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
262231300003130000-112-2023-000282023-12-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>5.0121-888서울특별시 마포구 합정동 471 합정오피스빌딩서울특별시 마포구 양화로 19, 합정오피스빌딩 5층 (합정동)4027플랜즈커피 디에프코퍼레이션2023-12-28 14:32:33I2022-11-01 21:00:00.0식품자동판매기영업192085.635166449653.704695<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
262331300003130000-112-2024-000012024-03-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>5.0121-880서울특별시 마포구 창전동 6-131서울특별시 마포구 와우산로 130, 3층 (창전동)4059(주)사운드팩토리2024-03-05 15:44:50I2023-12-03 00:07:00.0식품자동판매기영업193565.518001450125.046928<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
262431300003130000-112-2024-000022024-03-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.5121-859서울특별시 마포구 아현동 327-25서울특별시 마포구 굴레방로 27, 107호 (아현동)4116한맛비단두부2024-03-06 10:12:57I2023-12-03 00:08:00.0식품자동판매기영업195978.443677450483.826642<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
262531300003130000-112-2024-000032024-03-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.4121-845서울특별시 마포구 성산동 174-1서울특별시 마포구 월드컵로36길 40, 1층 일부 2-2호 (성산동)3939에그카페24(EGG CAFE 24) 월드컵점2024-03-29 10:42:32I2023-12-02 21:01:00.0식품자동판매기영업191542.838981451728.148873<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>