Overview

Dataset statistics

Number of variables44
Number of observations2088
Missing cells21052
Missing cells (%)22.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory766.8 KiB
Average record size in memory376.1 B

Variable types

Categorical22
Text6
DateTime4
Unsupported7
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-18229/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업상태코드 is highly imbalanced (62.2%)Imbalance
영업상태명 is highly imbalanced (62.2%)Imbalance
상세영업상태코드 is highly imbalanced (62.2%)Imbalance
상세영업상태명 is highly imbalanced (62.2%)Imbalance
데이터갱신구분 is highly imbalanced (62.0%)Imbalance
위생업태명 is highly imbalanced (77.7%)Imbalance
영업장주변구분명 is highly imbalanced (61.2%)Imbalance
등급구분명 is highly imbalanced (56.2%)Imbalance
급수시설구분명 is highly imbalanced (77.0%)Imbalance
총인원 is highly imbalanced (88.6%)Imbalance
건물소유구분명 is highly imbalanced (56.2%)Imbalance
시설총규모 is highly imbalanced (85.5%)Imbalance
인허가취소일자 has 2088 (100.0%) missing valuesMissing
폐업일자 has 153 (7.3%) missing valuesMissing
휴업시작일자 has 2088 (100.0%) missing valuesMissing
휴업종료일자 has 2088 (100.0%) missing valuesMissing
재개업일자 has 2088 (100.0%) missing valuesMissing
전화번호 has 356 (17.0%) missing valuesMissing
소재지면적 has 1981 (94.9%) missing valuesMissing
도로명주소 has 1680 (80.5%) missing valuesMissing
도로명우편번호 has 1685 (80.7%) missing valuesMissing
좌표정보(X) has 252 (12.1%) missing valuesMissing
좌표정보(Y) has 252 (12.1%) missing valuesMissing
다중이용업소여부 has 75 (3.6%) missing valuesMissing
전통업소지정번호 has 2088 (100.0%) missing valuesMissing
전통업소주된음식 has 2088 (100.0%) missing valuesMissing
홈페이지 has 2088 (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 98 (4.7%) zerosZeros

Reproduction

Analysis started2024-05-11 04:06:52.750683
Analysis finished2024-05-11 04:06:55.391930
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
3020000
2088 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 2088
100.0%

Length

2024-05-11T04:06:55.575476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:55.888800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 2088
100.0%

관리번호
Text

UNIQUE 

Distinct2088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2024-05-11T04:06:56.308111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters45936
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

Unique2088 ?
Unique (%)100.0%

Sample

1st row3020000-112-1962-00737
2nd row3020000-112-1981-00090
3rd row3020000-112-1982-00574
4th row3020000-112-1983-00092
5th row3020000-112-1983-00093
ValueCountFrequency (%)
3020000-112-1962-00737 1
 
< 0.1%
3020000-112-2001-01397 1
 
< 0.1%
3020000-112-2001-01395 1
 
< 0.1%
3020000-112-2001-01394 1
 
< 0.1%
3020000-112-2001-01393 1
 
< 0.1%
3020000-112-2001-01392 1
 
< 0.1%
3020000-112-2001-01391 1
 
< 0.1%
3020000-112-2001-01390 1
 
< 0.1%
3020000-112-2001-01389 1
 
< 0.1%
3020000-112-2001-01388 1
 
< 0.1%
Other values (2078) 2078
99.5%
2024-05-11T04:06:57.147056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17056
37.1%
1 7115
15.5%
- 6264
 
13.6%
2 6192
 
13.5%
9 3041
 
6.6%
3 2979
 
6.5%
8 894
 
1.9%
4 666
 
1.4%
6 583
 
1.3%
7 577
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39672
86.4%
Dash Punctuation 6264
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17056
43.0%
1 7115
17.9%
2 6192
 
15.6%
9 3041
 
7.7%
3 2979
 
7.5%
8 894
 
2.3%
4 666
 
1.7%
6 583
 
1.5%
7 577
 
1.5%
5 569
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 6264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45936
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17056
37.1%
1 7115
15.5%
- 6264
 
13.6%
2 6192
 
13.5%
9 3041
 
6.6%
3 2979
 
6.5%
8 894
 
1.9%
4 666
 
1.4%
6 583
 
1.3%
7 577
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17056
37.1%
1 7115
15.5%
- 6264
 
13.6%
2 6192
 
13.5%
9 3041
 
6.6%
3 2979
 
6.5%
8 894
 
1.9%
4 666
 
1.4%
6 583
 
1.3%
7 577
 
1.3%

인허가일자
Date

Distinct1064
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
Minimum1962-08-26 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T04:06:57.462133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:06:57.781534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2088
Missing (%)100.0%
Memory size18.5 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
3
1935 
1
 
153

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1935
92.7%
1 153
 
7.3%

Length

2024-05-11T04:06:58.170439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:58.495688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1935
92.7%
1 153
 
7.3%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
폐업
1935 
영업/정상
 
153

Length

Max length5
Median length2
Mean length2.2198276
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1935
92.7%
영업/정상 153
 
7.3%

Length

2024-05-11T04:06:58.853177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:59.170701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1935
92.7%
영업/정상 153
 
7.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2
1935 
1
 
153

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1935
92.7%
1 153
 
7.3%

Length

2024-05-11T04:06:59.506907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:59.971401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1935
92.7%
1 153
 
7.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
폐업
1935 
영업
 
153

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1935
92.7%
영업 153
 
7.3%

Length

2024-05-11T04:07:00.272565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:00.571964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1935
92.7%
영업 153
 
7.3%

폐업일자
Date

MISSING 

Distinct1020
Distinct (%)52.7%
Missing153
Missing (%)7.3%
Memory size16.4 KiB
Minimum1983-03-28 00:00:00
Maximum2024-03-08 00:00:00
2024-05-11T04:07:00.976236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:07:01.494422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2088
Missing (%)100.0%
Memory size18.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2088
Missing (%)100.0%
Memory size18.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2088
Missing (%)100.0%
Memory size18.5 KiB

전화번호
Text

MISSING 

Distinct621
Distinct (%)35.9%
Missing356
Missing (%)17.0%
Memory size16.4 KiB
2024-05-11T04:07:02.642351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.6224018
Min length2

Characters and Unicode

Total characters14934
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

Unique571 ?
Unique (%)33.0%

Sample

1st row0200000000
2nd row02
3rd row0200000000
4th row02
5th row02
ValueCountFrequency (%)
02 992
40.0%
0200000000 645
26.0%
00000 30
 
1.2%
7043013 15
 
0.6%
4166416 12
 
0.5%
3195403 10
 
0.4%
9298400 9
 
0.4%
5293326 8
 
0.3%
9517579 7
 
0.3%
7181169 6
 
0.2%
Other values (649) 748
30.1%
2024-05-11T04:07:04.266638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7534
50.4%
2 2197
 
14.7%
7 938
 
6.3%
875
 
5.9%
1 627
 
4.2%
9 613
 
4.1%
3 490
 
3.3%
4 454
 
3.0%
5 437
 
2.9%
6 396
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14059
94.1%
Space Separator 875
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7534
53.6%
2 2197
 
15.6%
7 938
 
6.7%
1 627
 
4.5%
9 613
 
4.4%
3 490
 
3.5%
4 454
 
3.2%
5 437
 
3.1%
6 396
 
2.8%
8 373
 
2.7%
Space Separator
ValueCountFrequency (%)
875
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14934
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7534
50.4%
2 2197
 
14.7%
7 938
 
6.3%
875
 
5.9%
1 627
 
4.2%
9 613
 
4.1%
3 490
 
3.3%
4 454
 
3.0%
5 437
 
2.9%
6 396
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7534
50.4%
2 2197
 
14.7%
7 938
 
6.3%
875
 
5.9%
1 627
 
4.2%
9 613
 
4.1%
3 490
 
3.3%
4 454
 
3.0%
5 437
 
2.9%
6 396
 
2.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)6.5%
Missing1981
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean1.6319626
Minimum0
Maximum130
Zeros98
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-05-11T04:07:04.736068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.82
Maximum130
Range130
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.790424
Coefficient of variation (CV)7.8374489
Kurtosis98.33335
Mean1.6319626
Median Absolute Deviation (MAD)0
Skewness9.7825684
Sum174.62
Variance163.59493
MonotonicityNot monotonic
2024-05-11T04:07:05.134660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 98
 
4.7%
3.3 3
 
0.1%
2.4 2
 
0.1%
3.0 1
 
< 0.1%
130.0 1
 
< 0.1%
1.0 1
 
< 0.1%
25.92 1
 
< 0.1%
(Missing) 1981
94.9%
ValueCountFrequency (%)
0.0 98
4.7%
1.0 1
 
< 0.1%
2.4 2
 
0.1%
3.0 1
 
< 0.1%
3.3 3
 
0.1%
25.92 1
 
< 0.1%
130.0 1
 
< 0.1%
ValueCountFrequency (%)
130.0 1
 
< 0.1%
25.92 1
 
< 0.1%
3.3 3
 
0.1%
3.0 1
 
< 0.1%
2.4 2
 
0.1%
1.0 1
 
< 0.1%
0.0 98
4.7%

소재지우편번호
Text

Distinct171
Distinct (%)8.2%
Missing1
Missing (%)< 0.1%
Memory size16.4 KiB
2024-05-11T04:07:05.947958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0206037
Min length6

Characters and Unicode

Total characters12565
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

Unique42 ?
Unique (%)2.0%

Sample

1st row140823
2nd row140100
3rd row140849
4th row140863
5th row140758
ValueCountFrequency (%)
140132 113
 
5.4%
140883 69
 
3.3%
140887 60
 
2.9%
140011 55
 
2.6%
140012 50
 
2.4%
140807 49
 
2.3%
140871 48
 
2.3%
140850 41
 
2.0%
140823 40
 
1.9%
140833 40
 
1.9%
Other values (161) 1522
72.9%
2024-05-11T04:07:07.315892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2913
23.2%
1 2802
22.3%
4 2409
19.2%
8 1720
13.7%
2 603
 
4.8%
3 552
 
4.4%
7 521
 
4.1%
9 504
 
4.0%
6 310
 
2.5%
5 188
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12522
99.7%
Dash Punctuation 43
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2913
23.3%
1 2802
22.4%
4 2409
19.2%
8 1720
13.7%
2 603
 
4.8%
3 552
 
4.4%
7 521
 
4.2%
9 504
 
4.0%
6 310
 
2.5%
5 188
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2913
23.2%
1 2802
22.3%
4 2409
19.2%
8 1720
13.7%
2 603
 
4.8%
3 552
 
4.4%
7 521
 
4.1%
9 504
 
4.0%
6 310
 
2.5%
5 188
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2913
23.2%
1 2802
22.3%
4 2409
19.2%
8 1720
13.7%
2 603
 
4.8%
3 552
 
4.4%
7 521
 
4.1%
9 504
 
4.0%
6 310
 
2.5%
5 188
 
1.5%

지번주소
Text

Distinct1538
Distinct (%)73.7%
Missing1
Missing (%)< 0.1%
Memory size16.4 KiB
2024-05-11T04:07:08.088781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length23.807379
Min length16

Characters and Unicode

Total characters49686
Distinct characters311
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

Unique1332 ?
Unique (%)63.8%

Sample

1st row서울특별시 용산구 보광동 81-2
2nd row서울특별시 용산구 문배동 30-10 동양제과내
3rd row서울특별시 용산구 원효로3가 51-30
4th row서울특별시 용산구 이태원동 119-24 조흥은행한
5th row서울특별시 용산구 갈월동 2-5 갑을빌딩내
ValueCountFrequency (%)
서울특별시 2087
22.2%
용산구 2087
22.2%
한강로3가 222
 
2.4%
한남동 220
 
2.3%
한강로2가 195
 
2.1%
이태원동 137
 
1.5%
청파동2가 116
 
1.2%
갈월동 99
 
1.1%
후암동 96
 
1.0%
이촌동 87
 
0.9%
Other values (1601) 4063
43.2%
2024-05-11T04:07:09.503206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9342
18.8%
산 2364
 
4.8%
용 2346
 
4.7%
1 2274
 
4.6%
서 2207
 
4.4%
구 2139
 
4.3%
울 2114
 
4.3%
시 2099
 
4.2%
특 2087
 
4.2%
별 2087
 
4.2%
Other values (301) 20627
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27918
56.2%
Decimal Number 9791
 
19.7%
Space Separator 9342
 
18.8%
Dash Punctuation 1982
 
4.0%
Open Punctuation 294
 
0.6%
Close Punctuation 294
 
0.6%
Uppercase Letter 35
 
0.1%
Other Punctuation 27
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2364
 
8.5%
용 2346
 
8.4%
서 2207
 
7.9%
구 2139
 
7.7%
울 2114
 
7.6%
시 2099
 
7.5%
특 2087
 
7.5%
별 2087
 
7.5%
동 1622
 
5.8%
가 1047
 
3.8%
Other values (267) 7806
28.0%
Uppercase Letter
ValueCountFrequency (%)
B 9
25.7%
A 4
11.4%
S 4
11.4%
G 3
 
8.6%
D 3
 
8.6%
C 2
 
5.7%
P 2
 
5.7%
T 2
 
5.7%
K 1
 
2.9%
M 1
 
2.9%
Other values (4) 4
11.4%
Decimal Number
ValueCountFrequency (%)
1 2274
23.2%
2 1595
16.3%
3 1265
12.9%
0 873
 
8.9%
5 786
 
8.0%
6 728
 
7.4%
4 728
 
7.4%
9 534
 
5.5%
8 531
 
5.4%
7 477
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 23
85.2%
/ 2
 
7.4%
: 1
 
3.7%
@ 1
 
3.7%
Space Separator
ValueCountFrequency (%)
9342
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1982
100.0%
Open Punctuation
ValueCountFrequency (%)
( 294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 294
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27918
56.2%
Common 21732
43.7%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2364
 
8.5%
용 2346
 
8.4%
서 2207
 
7.9%
구 2139
 
7.7%
울 2114
 
7.6%
시 2099
 
7.5%
특 2087
 
7.5%
별 2087
 
7.5%
동 1622
 
5.8%
가 1047
 
3.8%
Other values (267) 7806
28.0%
Common
ValueCountFrequency (%)
9342
43.0%
1 2274
 
10.5%
- 1982
 
9.1%
2 1595
 
7.3%
3 1265
 
5.8%
0 873
 
4.0%
5 786
 
3.6%
6 728
 
3.3%
4 728
 
3.3%
9 534
 
2.5%
Other values (9) 1625
 
7.5%
Latin
ValueCountFrequency (%)
B 9
25.0%
A 4
11.1%
S 4
11.1%
G 3
 
8.3%
D 3
 
8.3%
C 2
 
5.6%
P 2
 
5.6%
T 2
 
5.6%
K 1
 
2.8%
M 1
 
2.8%
Other values (5) 5
13.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27918
56.2%
ASCII 21768
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9342
42.9%
1 2274
 
10.4%
- 1982
 
9.1%
2 1595
 
7.3%
3 1265
 
5.8%
0 873
 
4.0%
5 786
 
3.6%
6 728
 
3.3%
4 728
 
3.3%
9 534
 
2.5%
Other values (24) 1661
 
7.6%
Hangul
ValueCountFrequency (%)
산 2364
 
8.5%
용 2346
 
8.4%
서 2207
 
7.9%
구 2139
 
7.7%
울 2114
 
7.6%
시 2099
 
7.5%
특 2087
 
7.5%
별 2087
 
7.5%
동 1622
 
5.8%
가 1047
 
3.8%
Other values (267) 7806
28.0%

도로명주소
Text

MISSING 

Distinct394
Distinct (%)96.6%
Missing1680
Missing (%)80.5%
Memory size16.4 KiB
2024-05-11T04:07:10.606598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length32.77451
Min length21

Characters and Unicode

Total characters13372
Distinct characters246
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

Unique380 ?
Unique (%)93.1%

Sample

1st row서울특별시 용산구 효창원로 149 (효창동,효창식품내)
2nd row서울특별시 용산구 우사단로 43 (이태원동,국제식품앞)
3rd row서울특별시 용산구 이촌로 293 (이촌동,조흥은행이)
4th row서울특별시 용산구 장문로 100 (보광동,신약국앞노)
5th row서울특별시 용산구 한남대로21길 32 (한남동)
ValueCountFrequency (%)
용산구 409
 
16.4%
서울특별시 408
 
16.3%
1층 105
 
4.2%
한강대로 58
 
2.3%
한남동 31
 
1.2%
한강로3가 29
 
1.2%
한강로2가 27
 
1.1%
지하 25
 
1.0%
지상1층 25
 
1.0%
이태원동 25
 
1.0%
Other values (607) 1359
54.3%
2024-05-11T04:07:12.105104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2094
 
15.7%
1 583
 
4.4%
로 501
 
3.7%
) 489
 
3.7%
( 489
 
3.7%
산 481
 
3.6%
용 472
 
3.5%
서 461
 
3.4%
울 425
 
3.2%
구 416
 
3.1%
Other values (236) 6961
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7839
58.6%
Space Separator 2094
 
15.7%
Decimal Number 2001
 
15.0%
Close Punctuation 489
 
3.7%
Open Punctuation 489
 
3.7%
Other Punctuation 375
 
2.8%
Dash Punctuation 59
 
0.4%
Uppercase Letter 24
 
0.2%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 501
 
6.4%
산 481
 
6.1%
용 472
 
6.0%
서 461
 
5.9%
울 425
 
5.4%
구 416
 
5.3%
시 416
 
5.3%
별 408
 
5.2%
특 408
 
5.2%
동 360
 
4.6%
Other values (206) 3491
44.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
29.2%
D 3
12.5%
C 2
 
8.3%
G 2
 
8.3%
S 2
 
8.3%
T 2
 
8.3%
A 2
 
8.3%
N 1
 
4.2%
Y 1
 
4.2%
H 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 583
29.1%
2 306
15.3%
3 210
 
10.5%
4 177
 
8.8%
0 163
 
8.1%
5 156
 
7.8%
7 115
 
5.7%
6 104
 
5.2%
9 101
 
5.0%
8 86
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 373
99.5%
/ 1
 
0.3%
@ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2094
100.0%
Close Punctuation
ValueCountFrequency (%)
) 489
100.0%
Open Punctuation
ValueCountFrequency (%)
( 489
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7839
58.6%
Common 5508
41.2%
Latin 25
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 501
 
6.4%
산 481
 
6.1%
용 472
 
6.0%
서 461
 
5.9%
울 425
 
5.4%
구 416
 
5.3%
시 416
 
5.3%
별 408
 
5.2%
특 408
 
5.2%
동 360
 
4.6%
Other values (206) 3491
44.5%
Common
ValueCountFrequency (%)
2094
38.0%
1 583
 
10.6%
) 489
 
8.9%
( 489
 
8.9%
, 373
 
6.8%
2 306
 
5.6%
3 210
 
3.8%
4 177
 
3.2%
0 163
 
3.0%
5 156
 
2.8%
Other values (8) 468
 
8.5%
Latin
ValueCountFrequency (%)
B 7
28.0%
D 3
12.0%
C 2
 
8.0%
G 2
 
8.0%
S 2
 
8.0%
T 2
 
8.0%
A 2
 
8.0%
N 1
 
4.0%
Y 1
 
4.0%
e 1
 
4.0%
Other values (2) 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7839
58.6%
ASCII 5533
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2094
37.8%
1 583
 
10.5%
) 489
 
8.8%
( 489
 
8.8%
, 373
 
6.7%
2 306
 
5.5%
3 210
 
3.8%
4 177
 
3.2%
0 163
 
2.9%
5 156
 
2.8%
Other values (20) 493
 
8.9%
Hangul
ValueCountFrequency (%)
로 501
 
6.4%
산 481
 
6.1%
용 472
 
6.0%
서 461
 
5.9%
울 425
 
5.4%
구 416
 
5.3%
시 416
 
5.3%
별 408
 
5.2%
특 408
 
5.2%
동 360
 
4.6%
Other values (206) 3491
44.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)27.0%
Missing1685
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean4358.9007
Minimum4300
Maximum4428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-05-11T04:07:12.828055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4306
Q14327.5
median4356
Q34386
95-th percentile4418.8
Maximum4428
Range128
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation35.361461
Coefficient of variation (CV)0.0081124721
Kurtosis-1.0566558
Mean4358.9007
Median Absolute Deviation (MAD)30
Skewness0.14070513
Sum1756637
Variance1250.4329
MonotonicityNot monotonic
2024-05-11T04:07:13.518511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4382 15
 
0.7%
4353 13
 
0.6%
4377 13
 
0.6%
4320 12
 
0.6%
4386 11
 
0.5%
4301 8
 
0.4%
4375 8
 
0.4%
4401 7
 
0.3%
4340 7
 
0.3%
4378 7
 
0.3%
Other values (99) 302
 
14.5%
(Missing) 1685
80.7%
ValueCountFrequency (%)
4300 2
 
0.1%
4301 8
0.4%
4302 4
0.2%
4303 3
 
0.1%
4304 1
 
< 0.1%
4305 1
 
< 0.1%
4306 3
 
0.1%
4307 3
 
0.1%
4309 2
 
0.1%
4310 4
0.2%
ValueCountFrequency (%)
4428 1
 
< 0.1%
4427 5
0.2%
4426 4
0.2%
4425 3
0.1%
4424 1
 
< 0.1%
4423 2
 
0.1%
4422 3
0.1%
4420 1
 
< 0.1%
4419 1
 
< 0.1%
4417 2
 
0.1%

사업장명
Text

Distinct1538
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2024-05-11T04:07:14.201387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length5.6556513
Min length1

Characters and Unicode

Total characters11809
Distinct characters563
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1375 ?
Unique (%)65.9%

Sample

1st row팔팔상회
2nd row동양제과(주)사내
3rd row전자상가
4th row조흥은행한남동지점
5th row갑을빌딩1층
ValueCountFrequency (%)
두산음료 30
 
1.3%
단국대학교 26
 
1.2%
한국코카콜 24
 
1.1%
숙명여대 19
 
0.9%
데이콤 18
 
0.8%
재)홍익회 16
 
0.7%
지에스25 15
 
0.7%
민동식 15
 
0.7%
순천향병원 14
 
0.6%
나진산업사우회 13
 
0.6%
Other values (1585) 2037
91.5%
2024-05-11T04:07:15.360694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 253
 
2.1%
점 209
 
1.8%
대 208
 
1.8%
이 204
 
1.7%
원 198
 
1.7%
) 191
 
1.6%
( 191
 
1.6%
회 191
 
1.6%
주 165
 
1.4%
용 162
 
1.4%
Other values (553) 9837
83.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10779
91.3%
Decimal Number 313
 
2.7%
Close Punctuation 191
 
1.6%
Open Punctuation 191
 
1.6%
Uppercase Letter 145
 
1.2%
Space Separator 139
 
1.2%
Dash Punctuation 19
 
0.2%
Lowercase Letter 18
 
0.2%
Other Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 253
 
2.3%
점 209
 
1.9%
대 208
 
1.9%
이 204
 
1.9%
원 198
 
1.8%
회 191
 
1.8%
주 165
 
1.5%
용 162
 
1.5%
식 148
 
1.4%
사 145
 
1.3%
Other values (509) 8896
82.5%
Uppercase Letter
ValueCountFrequency (%)
S 39
26.9%
G 34
23.4%
C 18
12.4%
U 13
 
9.0%
I 7
 
4.8%
T 6
 
4.1%
M 5
 
3.4%
P 5
 
3.4%
O 4
 
2.8%
B 3
 
2.1%
Other values (7) 11
 
7.6%
Decimal Number
ValueCountFrequency (%)
2 103
32.9%
5 56
17.9%
1 39
 
12.5%
4 39
 
12.5%
0 34
 
10.9%
6 21
 
6.7%
3 9
 
2.9%
7 6
 
1.9%
8 3
 
1.0%
9 3
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
c 5
27.8%
u 4
22.2%
w 2
 
11.1%
b 2
 
11.1%
g 1
 
5.6%
s 1
 
5.6%
o 1
 
5.6%
p 1
 
5.6%
m 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 10
71.4%
, 2
 
14.3%
? 1
 
7.1%
/ 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10779
91.3%
Common 867
 
7.3%
Latin 163
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 253
 
2.3%
점 209
 
1.9%
대 208
 
1.9%
이 204
 
1.9%
원 198
 
1.8%
회 191
 
1.8%
주 165
 
1.5%
용 162
 
1.5%
식 148
 
1.4%
사 145
 
1.3%
Other values (509) 8896
82.5%
Latin
ValueCountFrequency (%)
S 39
23.9%
G 34
20.9%
C 18
11.0%
U 13
 
8.0%
I 7
 
4.3%
T 6
 
3.7%
c 5
 
3.1%
M 5
 
3.1%
P 5
 
3.1%
u 4
 
2.5%
Other values (16) 27
16.6%
Common
ValueCountFrequency (%)
) 191
22.0%
( 191
22.0%
139
16.0%
2 103
11.9%
5 56
 
6.5%
1 39
 
4.5%
4 39
 
4.5%
0 34
 
3.9%
6 21
 
2.4%
- 19
 
2.2%
Other values (8) 35
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10779
91.3%
ASCII 1030
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 253
 
2.3%
점 209
 
1.9%
대 208
 
1.9%
이 204
 
1.9%
원 198
 
1.8%
회 191
 
1.8%
주 165
 
1.5%
용 162
 
1.5%
식 148
 
1.4%
사 145
 
1.3%
Other values (509) 8896
82.5%
ASCII
ValueCountFrequency (%)
) 191
18.5%
( 191
18.5%
139
13.5%
2 103
10.0%
5 56
 
5.4%
1 39
 
3.8%
S 39
 
3.8%
4 39
 
3.8%
G 34
 
3.3%
0 34
 
3.3%
Other values (34) 165
16.0%

최종수정일자
Date

Distinct802
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
Minimum1999-02-23 00:00:00
Maximum2024-05-07 17:14:01
2024-05-11T04:07:15.830304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:07:16.280454image/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 size16.4 KiB
I
1934 
U
 
154

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 1934
92.6%
U 154
 
7.4%

Length

2024-05-11T04:07:16.735359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:17.052469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1934
92.6%
u 154
 
7.4%

데이터갱신일자
Date

Distinct165
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T04:07:17.517555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:07:18.083537image/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 size16.4 KiB
식품자동판매기영업
2088 

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 2088
100.0%

Length

2024-05-11T04:07:18.578458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:18.901140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2088
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1009
Distinct (%)55.0%
Missing252
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean197720.87
Minimum195086.36
Maximum200939.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-05-11T04:07:19.504242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195086.36
5-th percentile196060.56
Q1196813.26
median197332.37
Q3198622.89
95-th percentile200310.98
Maximum200939.3
Range5852.9399
Interquartile range (IQR)1809.6342

Descriptive statistics

Standard deviation1292.2492
Coefficient of variation (CV)0.0065357245
Kurtosis-0.47866232
Mean197720.87
Median Absolute Deviation (MAD)648.56926
Skewness0.74008511
Sum3.6301553 × 108
Variance1669907.9
MonotonicityNot monotonic
2024-05-11T04:07:19.926605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196831.461759469 77
 
3.7%
196701.958402155 45
 
2.2%
197099.381481836 40
 
1.9%
197907.622016666 32
 
1.5%
195811.112955415 24
 
1.1%
196893.277042114 21
 
1.0%
200310.979917902 20
 
1.0%
196060.559012563 20
 
1.0%
198506.109525673 18
 
0.9%
196385.232032928 16
 
0.8%
Other values (999) 1523
72.9%
(Missing) 252
 
12.1%
ValueCountFrequency (%)
195086.35935132 1
< 0.1%
195330.512261162 1
< 0.1%
195385.366085745 1
< 0.1%
195544.606275448 1
< 0.1%
195547.140326252 2
0.1%
195550.858625514 1
< 0.1%
195556.853873045 1
< 0.1%
195575.840288621 1
< 0.1%
195653.553341643 1
< 0.1%
195670.19398129 1
< 0.1%
ValueCountFrequency (%)
200939.299261016 2
0.1%
200859.135768055 1
 
< 0.1%
200810.604279015 3
0.1%
200786.751951771 1
 
< 0.1%
200757.113163707 1
 
< 0.1%
200696.788281596 1
 
< 0.1%
200693.652523916 1
 
< 0.1%
200676.8835457 1
 
< 0.1%
200671.408890572 2
0.1%
200666.754469416 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1009
Distinct (%)55.0%
Missing252
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean448223.03
Minimum445891.89
Maximum450295.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-05-11T04:07:20.626844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445891.89
5-th percentile446583.28
Q1447585.19
median448078.56
Q3449024.81
95-th percentile449944.69
Maximum450295.45
Range4403.5646
Interquartile range (IQR)1439.6275

Descriptive statistics

Standard deviation977.27174
Coefficient of variation (CV)0.0021803247
Kurtosis-0.64069344
Mean448223.03
Median Absolute Deviation (MAD)711.07085
Skewness0.060355664
Sum8.2293748 × 108
Variance955060.05
MonotonicityNot monotonic
2024-05-11T04:07:21.264208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449320.370380461 77
 
3.7%
446837.982163744 45
 
2.2%
447328.548832245 40
 
1.9%
448229.955586627 32
 
1.5%
447731.317690579 24
 
1.1%
447852.583272453 21
 
1.0%
447732.807254308 20
 
1.0%
447939.994985364 20
 
1.0%
449201.648650456 18
 
0.9%
447938.19246116 16
 
0.8%
Other values (999) 1523
72.9%
(Missing) 252
 
12.1%
ValueCountFrequency (%)
445891.889050955 2
 
0.1%
446114.125235545 2
 
0.1%
446114.155238838 8
0.4%
446153.522154789 8
0.4%
446185.244544796 1
 
< 0.1%
446202.36502252 3
 
0.1%
446221.69071399 2
 
0.1%
446232.080037935 8
0.4%
446243.198701013 3
 
0.1%
446248.255892098 3
 
0.1%
ValueCountFrequency (%)
450295.453666667 1
< 0.1%
450278.758007272 1
< 0.1%
450266.423513266 1
< 0.1%
450239.905239 1
< 0.1%
450238.200889239 1
< 0.1%
450234.154184667 1
< 0.1%
450222.68877987 1
< 0.1%
450208.807869693 1
< 0.1%
450194.495553339 1
< 0.1%
450189.739550615 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
식품자동판매기영업
2013 
<NA>
 
75

Length

Max length9
Median length9
Mean length8.8204023
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 2013
96.4%
<NA> 75
 
3.6%

Length

2024-05-11T04:07:21.723862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:22.163462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2013
96.4%
na 75
 
3.6%

남성종사자수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
0
1340 
<NA>
735 
1
 
13

Length

Max length4
Median length1
Mean length2.0560345
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1340
64.2%
<NA> 735
35.2%
1 13
 
0.6%

Length

2024-05-11T04:07:22.578406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:23.058672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1340
64.2%
na 735
35.2%
1 13
 
0.6%

여성종사자수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
0
1341 
<NA>
739 
1
 
8

Length

Max length4
Median length1
Mean length2.0617816
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1341
64.2%
<NA> 739
35.4%
1 8
 
0.4%

Length

2024-05-11T04:07:23.706777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:24.241890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1341
64.2%
na 739
35.4%
1 8
 
0.4%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
기타
1327 
<NA>
693 
주택가주변
 
36
아파트지역
 
15
유흥업소밀집지역
 
12
Other values (3)
 
5

Length

Max length8
Median length2
Mean length2.7854406
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1327
63.6%
<NA> 693
33.2%
주택가주변 36
 
1.7%
아파트지역 15
 
0.7%
유흥업소밀집지역 12
 
0.6%
학교정화(절대) 3
 
0.1%
결혼예식장주변 1
 
< 0.1%
학교정화(상대) 1
 
< 0.1%

Length

2024-05-11T04:07:24.794735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:25.287411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1327
63.6%
na 693
33.2%
주택가주변 36
 
1.7%
아파트지역 15
 
0.7%
유흥업소밀집지역 12
 
0.6%
학교정화(절대 3
 
0.1%
결혼예식장주변 1
 
< 0.1%
학교정화(상대 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
기타
1272 
<NA>
693 
자율
 
48
지도
 
47
을
 
19
Other values (3)
 
9

Length

Max length4
Median length2
Mean length2.6522989
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1272
60.9%
<NA> 693
33.2%
자율 48
 
2.3%
지도 47
 
2.3%
을 19
 
0.9%
갑 5
 
0.2%
우수 2
 
0.1%
관리 2
 
0.1%

Length

2024-05-11T04:07:25.819402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:26.176015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1272
60.9%
na 693
33.2%
자율 48
 
2.3%
지도 47
 
2.3%
을 19
 
0.9%
갑 5
 
0.2%
우수 2
 
0.1%
관리 2
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
2010 
상수도전용
 
78

Length

Max length5
Median length4
Mean length4.0373563
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> 2010
96.3%
상수도전용 78
 
3.7%

Length

2024-05-11T04:07:26.640436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:27.010997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2010
96.3%
상수도전용 78
 
3.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
2056 
0
 
32

Length

Max length4
Median length4
Mean length3.954023
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> 2056
98.5%
0 32
 
1.5%

Length

2024-05-11T04:07:27.474763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:27.838485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2056
98.5%
0 32
 
1.5%

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
1586 
0
502 

Length

Max length4
Median length4
Mean length3.2787356
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1586
76.0%
0 502
 
24.0%

Length

2024-05-11T04:07:28.264456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:28.762732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1586
76.0%
0 502
 
24.0%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
1586 
0
502 

Length

Max length4
Median length4
Mean length3.2787356
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1586
76.0%
0 502
 
24.0%

Length

2024-05-11T04:07:29.182595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:29.586736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1586
76.0%
0 502
 
24.0%

공장판매직종업원수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
1586 
0
501 
1
 
1

Length

Max length4
Median length4
Mean length3.2787356
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1586
76.0%
0 501
 
24.0%
1 1
 
< 0.1%

Length

2024-05-11T04:07:29.991396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:30.476139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1586
76.0%
0 501
 
24.0%
1 1
 
< 0.1%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
1586 
0
502 

Length

Max length4
Median length4
Mean length3.2787356
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1586
76.0%
0 502
 
24.0%

Length

2024-05-11T04:07:30.981307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:31.340435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1586
76.0%
0 502
 
24.0%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
1735 
자가
340 
임대
 
13

Length

Max length4
Median length4
Mean length3.6618774
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> 1735
83.1%
자가 340
 
16.3%
임대 13
 
0.6%

Length

2024-05-11T04:07:31.841367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:32.232405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1735
83.1%
자가 340
 
16.3%
임대 13
 
0.6%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
1816 
0
272 

Length

Max length4
Median length4
Mean length3.6091954
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> 1816
87.0%
0 272
 
13.0%

Length

2024-05-11T04:07:32.804389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:33.173929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1816
87.0%
0 272
 
13.0%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
1816 
0
272 

Length

Max length4
Median length4
Mean length3.6091954
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> 1816
87.0%
0 272
 
13.0%

Length

2024-05-11T04:07:33.524472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:33.965686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1816
87.0%
0 272
 
13.0%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing75
Missing (%)3.6%
Memory size4.2 KiB
False
2013 
(Missing)
 
75
ValueCountFrequency (%)
False 2013
96.4%
(Missing) 75
 
3.6%
2024-05-11T04:07:34.323726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
0.0
2012 
<NA>
 
75
25.92
 
1

Length

Max length5
Median length3
Mean length3.0368774
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 2012
96.4%
<NA> 75
 
3.6%
25.92 1
 
< 0.1%

Length

2024-05-11T04:07:34.771556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:07:35.225421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2012
96.4%
na 75
 
3.6%
25.92 1
 
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2088
Missing (%)100.0%
Memory size18.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2088
Missing (%)100.0%
Memory size18.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2088
Missing (%)100.0%
Memory size18.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030200003020000-112-1962-0073719620826<NA>3폐업2폐업19960116<NA><NA><NA>0200000000<NA>140823서울특별시 용산구 보광동 81-2<NA><NA>팔팔상회2001-09-27 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업200017.490281447075.076445식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130200003020000-112-1981-0009019810907<NA>3폐업2폐업20080305<NA><NA><NA>02<NA>140100서울특별시 용산구 문배동 30-10 동양제과내<NA><NA>동양제과(주)사내2007-09-04 14:19:15I2018-08-31 23:59:59.0식품자동판매기영업197281.234879448209.537441식품자동판매기영업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230200003020000-112-1982-0057419820117<NA>3폐업2폐업19970808<NA><NA><NA>0200000000<NA>140849서울특별시 용산구 원효로3가 51-30<NA><NA>전자상가2001-09-27 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업196385.232033447938.192461식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330200003020000-112-1983-0009219830318<NA>3폐업2폐업19970704<NA><NA><NA>02<NA>140863서울특별시 용산구 이태원동 119-24 조흥은행한<NA><NA>조흥은행한남동지점2001-09-27 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업199362.515183448070.485388식품자동판매기영업00유흥업소밀집지역기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430200003020000-112-1983-0009319830325<NA>3폐업2폐업19961130<NA><NA><NA>02<NA>140758서울특별시 용산구 갈월동 2-5 갑을빌딩내<NA><NA>갑을빌딩1층2001-09-27 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197484.456801449711.539621식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530200003020000-112-1983-0009419830321<NA>3폐업2폐업19881114<NA><NA><NA>02<NA>140901서울특별시 용산구 후암동 339-6<NA><NA>유철희2001-09-27 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>
630200003020000-112-1983-0009519830321<NA>3폐업2폐업19890818<NA><NA><NA>02<NA>140887서울특별시 용산구 한남동 657-58 순천향병원<NA><NA>순천향병원별관2001-09-27 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업200310.979918447939.994985식품자동판매기영업11기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730200003020000-112-1983-0009719830325<NA>3폐업2폐업19891121<NA><NA><NA>02<NA>140821서울특별시 용산구 동자동 43-18<NA><NA>이정예2001-09-27 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197447.065318449889.799912식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830200003020000-112-1983-0009819830325<NA>3폐업2폐업20000306<NA><NA><NA>02<NA>140806서울특별시 용산구 갈월동 68-0 신탁은행갈<NA><NA>신탁은행갈월지점2001-09-27 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197475.239725449250.015714식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930200003020000-112-1983-0009919830321<NA>3폐업2폐업19881117<NA><NA><NA>02<NA>140883서울특별시 용산구 한강로3가 65-9<NA><NA>최경식2001-09-27 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업196778.495552446947.960824식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
207830200003020000-112-2023-000042023-04-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>140-022서울특별시 용산구 용산동2가 산 1-3 YTN서울타워서울특별시 용산구 남산공원길 105, YTN서울타워 (용산동2가)4340케이엠파트너스2023-04-05 13:48:23I2022-12-04 00:07:00.0식품자동판매기영업198994.001921449630.953176<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
207930200003020000-112-2023-000052023-07-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-070서울특별시 용산구 도원동 23 도원동삼성래미안서울특별시 용산구 새창로 70, 상가동 2층 213호 (도원동, 도원동삼성래미안)4354도원사랑방2023-07-12 15:02:45I2022-12-06 23:04:00.0식품자동판매기영업195981.203409448450.307441<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
208030200003020000-112-2023-000062023-07-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-809서울특별시 용산구 동빙고동 1-9 용산태권도장서울특별시 용산구 장문로6길 101, 1층 1045호 (동빙고동)4393커피에반하다2023-07-26 13:03:27I2022-12-06 22:08:00.0식품자동판매기영업199622.348154447084.440365<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
208130200003020000-112-2023-000072023-08-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 이마트 용산점 지하2층 (한강로3가)4377오투 주식회사2023-08-22 17:34:56I2022-12-07 22:04:00.0식품자동판매기영업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
208230200003020000-112-2023-000082023-08-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-780서울특별시 용산구 한강로3가 40-999 용산역서울특별시 용산구 한강대로23길 55, 용산아이파크몰 6층 (한강로3가)4377케이케이라이프2024-04-18 11:06:29U2023-12-03 22:00:00.0식품자동판매기영업196762.077395447480.039577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
208330200003020000-112-2023-000092023-12-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-900서울특별시 용산구 후암동 105-72서울특별시 용산구 후암로 37-1, 1층 (후암동)4332서초밀빵2023-12-18 14:44:26I2022-11-01 22:00:00.0식품자동판매기영업197933.362934449671.581845<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
208430200003020000-112-2024-000012024-02-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-902서울특별시 용산구 후암동 399-11서울특별시 용산구 두텁바위로 110, 1층 (후암동)4328지에스25 후암퍼스트점2024-02-16 14:54:06I2023-12-01 23:08:00.0식품자동판매기영업198364.693681449615.290914<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
208530200003020000-112-2024-000022024-04-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0140-881서울특별시 용산구 한강로3가 40-708서울특별시 용산구 한강대로23길 25, 4층 (한강로3가)4378솜사탕2024-04-05 13:16:11I2023-12-04 00:07:00.0식품자동판매기영업196785.404802447267.982864<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
208630200003020000-112-2024-000032024-04-25<NA>1영업/정상1영업<NA><NA><NA><NA>02 7175051<NA>140-863서울특별시 용산구 이태원동 87-6서울특별시 용산구 녹사평대로26가길 1, 1층 (이태원동)4391지에스25용산가구거리점(GS25)2024-04-25 16:55:25I2023-12-03 22:07:00.0식품자동판매기영업199230.395683447748.91349<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
208730200003020000-112-2024-000042024-05-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 45084940.0140-807서울특별시 용산구 갈월동 103-17 갈월동 오피스서울특별시 용산구 한강대로71길 4, 갈월동 오피스 5층 (갈월동)4322(주)아워홈 HJ중공업용산점2024-05-07 17:14:01I2023-12-05 00:09:00.0식품자동판매기영업197512.145808448691.859755<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>