Overview

Dataset statistics

Number of variables44
Number of observations4302
Missing cells42241
Missing cells (%)22.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory376.0 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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18249/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (73.5%)Imbalance
영업상태명 is highly imbalanced (73.5%)Imbalance
상세영업상태코드 is highly imbalanced (73.5%)Imbalance
상세영업상태명 is highly imbalanced (73.5%)Imbalance
데이터갱신구분 is highly imbalanced (58.9%)Imbalance
업태구분명 is highly imbalanced (99.7%)Imbalance
위생업태명 is highly imbalanced (80.0%)Imbalance
남성종사자수 is highly imbalanced (62.2%)Imbalance
여성종사자수 is highly imbalanced (57.1%)Imbalance
영업장주변구분명 is highly imbalanced (69.5%)Imbalance
급수시설구분명 is highly imbalanced (58.7%)Imbalance
총인원 is highly imbalanced (89.5%)Imbalance
건물소유구분명 is highly imbalanced (51.0%)Imbalance
보증액 is highly imbalanced (54.7%)Imbalance
월세액 is highly imbalanced (54.7%)Imbalance
다중이용업소여부 is highly imbalanced (99.7%)Imbalance
인허가취소일자 has 4302 (100.0%) missing valuesMissing
폐업일자 has 194 (4.5%) missing valuesMissing
휴업시작일자 has 4302 (100.0%) missing valuesMissing
휴업종료일자 has 4302 (100.0%) missing valuesMissing
재개업일자 has 4302 (100.0%) missing valuesMissing
전화번호 has 466 (10.8%) missing valuesMissing
소재지면적 has 3719 (86.4%) missing valuesMissing
도로명주소 has 3414 (79.4%) missing valuesMissing
도로명우편번호 has 3420 (79.5%) missing valuesMissing
좌표정보(X) has 323 (7.5%) missing valuesMissing
좌표정보(Y) has 323 (7.5%) missing valuesMissing
다중이용업소여부 has 133 (3.1%) missing valuesMissing
시설총규모 has 133 (3.1%) missing valuesMissing
전통업소지정번호 has 4302 (100.0%) missing valuesMissing
전통업소주된음식 has 4302 (100.0%) missing valuesMissing
홈페이지 has 4302 (100.0%) missing valuesMissing
시설총규모 is highly skewed (γ1 = 38.78418205)Skewed
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 102 (2.4%) zerosZeros
시설총규모 has 3875 (90.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:56:54.384062
Analysis finished2024-05-11 05:56:57.065017
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
3220000
4302 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 4302
100.0%

Length

2024-05-11T14:56:57.196043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:57.390006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 4302
100.0%

관리번호
Text

UNIQUE 

Distinct4302
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
2024-05-11T14:56:57.666209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters94644
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

Unique4302 ?
Unique (%)100.0%

Sample

1st row3220000-112-1899-03000
2nd row3220000-112-1899-03001
3rd row3220000-112-1899-03003
4th row3220000-112-1948-01706
5th row3220000-112-1976-00402
ValueCountFrequency (%)
3220000-112-1899-03000 1
 
< 0.1%
3220000-112-1999-02988 1
 
< 0.1%
3220000-112-1999-02975 1
 
< 0.1%
3220000-112-1999-03008 1
 
< 0.1%
3220000-112-1999-02976 1
 
< 0.1%
3220000-112-1999-02977 1
 
< 0.1%
3220000-112-1999-02978 1
 
< 0.1%
3220000-112-1999-02979 1
 
< 0.1%
3220000-112-1999-02980 1
 
< 0.1%
3220000-112-1999-02981 1
 
< 0.1%
Other values (4292) 4292
99.8%
2024-05-11T14:56:58.222167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28002
29.6%
2 17311
18.3%
1 15017
15.9%
- 12906
13.6%
9 7682
 
8.1%
3 6509
 
6.9%
8 1760
 
1.9%
4 1452
 
1.5%
5 1426
 
1.5%
7 1306
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81738
86.4%
Dash Punctuation 12906
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28002
34.3%
2 17311
21.2%
1 15017
18.4%
9 7682
 
9.4%
3 6509
 
8.0%
8 1760
 
2.2%
4 1452
 
1.8%
5 1426
 
1.7%
7 1306
 
1.6%
6 1273
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 12906
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 94644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28002
29.6%
2 17311
18.3%
1 15017
15.9%
- 12906
13.6%
9 7682
 
8.1%
3 6509
 
6.9%
8 1760
 
1.9%
4 1452
 
1.5%
5 1426
 
1.5%
7 1306
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28002
29.6%
2 17311
18.3%
1 15017
15.9%
- 12906
13.6%
9 7682
 
8.1%
3 6509
 
6.9%
8 1760
 
1.9%
4 1452
 
1.5%
5 1426
 
1.5%
7 1306
 
1.4%

인허가일자
Date

Distinct1626
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
Minimum1948-01-06 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T14:56:58.427523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:56:58.652915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4302
Missing (%)100.0%
Memory size37.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
3
4108 
1
 
194

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 4108
95.5%
1 194
 
4.5%

Length

2024-05-11T14:56:58.870058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:59.145355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4108
95.5%
1 194
 
4.5%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
폐업
4108 
영업/정상
 
194

Length

Max length5
Median length2
Mean length2.1352859
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 4108
95.5%
영업/정상 194
 
4.5%

Length

2024-05-11T14:56:59.350218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:59.582183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 4108
95.5%
영업/정상 194
 
4.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
2
4108 
1
 
194

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 4108
95.5%
1 194
 
4.5%

Length

2024-05-11T14:56:59.790826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:59.982768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 4108
95.5%
1 194
 
4.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
폐업
4108 
영업
 
194

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 4108
95.5%
영업 194
 
4.5%

Length

2024-05-11T14:57:00.183970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:00.379320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 4108
95.5%
영업 194
 
4.5%

폐업일자
Date

MISSING 

Distinct1575
Distinct (%)38.3%
Missing194
Missing (%)4.5%
Memory size33.7 KiB
Minimum1988-01-01 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T14:57:00.577689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:00.815404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4302
Missing (%)100.0%
Memory size37.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4302
Missing (%)100.0%
Memory size37.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4302
Missing (%)100.0%
Memory size37.9 KiB

전화번호
Text

MISSING 

Distinct1353
Distinct (%)35.3%
Missing466
Missing (%)10.8%
Memory size33.7 KiB
2024-05-11T14:57:01.206265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.2012513
Min length2

Characters and Unicode

Total characters35296
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

Unique1224 ?
Unique (%)31.9%

Sample

1st row02 5673582
2nd row02 5117885
3rd row0234410521
4th row02 5168514
5th row02 4166416
ValueCountFrequency (%)
02 1899
34.3%
0200000000 1356
24.5%
4166416 281
 
5.1%
00000 128
 
2.3%
5111762 50
 
0.9%
0 31
 
0.6%
028015 23
 
0.4%
5293326 21
 
0.4%
070 21
 
0.4%
502 18
 
0.3%
Other values (1391) 1715
30.9%
2024-05-11T14:57:01.984937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16261
46.1%
2 4854
 
13.8%
5 2294
 
6.5%
2179
 
6.2%
6 1978
 
5.6%
1 1948
 
5.5%
4 1897
 
5.4%
3 1138
 
3.2%
7 1023
 
2.9%
8 875
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33117
93.8%
Space Separator 2179
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16261
49.1%
2 4854
 
14.7%
5 2294
 
6.9%
6 1978
 
6.0%
1 1948
 
5.9%
4 1897
 
5.7%
3 1138
 
3.4%
7 1023
 
3.1%
8 875
 
2.6%
9 849
 
2.6%
Space Separator
ValueCountFrequency (%)
2179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16261
46.1%
2 4854
 
13.8%
5 2294
 
6.5%
2179
 
6.2%
6 1978
 
5.6%
1 1948
 
5.5%
4 1897
 
5.4%
3 1138
 
3.2%
7 1023
 
2.9%
8 875
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16261
46.1%
2 4854
 
13.8%
5 2294
 
6.5%
2179
 
6.2%
6 1978
 
5.6%
1 1948
 
5.5%
4 1897
 
5.4%
3 1138
 
3.2%
7 1023
 
2.9%
8 875
 
2.5%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)15.1%
Missing3719
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean5.7867753
Minimum0
Maximum314
Zeros102
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size37.9 KiB
2024-05-11T14:57:02.258704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3.3
Q33.3
95-th percentile23.313
Maximum314
Range314
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation17.807628
Coefficient of variation (CV)3.0772973
Kurtosis173.02462
Mean5.7867753
Median Absolute Deviation (MAD)1.65
Skewness11.494502
Sum3373.69
Variance317.11162
MonotonicityNot monotonic
2024-05-11T14:57:02.517315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 198
 
4.6%
0.0 102
 
2.4%
1.0 62
 
1.4%
3.0 23
 
0.5%
2.0 22
 
0.5%
3.6 20
 
0.5%
6.6 10
 
0.2%
1.65 10
 
0.2%
10.0 7
 
0.2%
5.0 6
 
0.1%
Other values (78) 123
 
2.9%
(Missing) 3719
86.4%
ValueCountFrequency (%)
0.0 102
2.4%
0.11 1
 
< 0.1%
0.12 1
 
< 0.1%
0.3 1
 
< 0.1%
0.4 1
 
< 0.1%
0.5 2
 
< 0.1%
0.54 1
 
< 0.1%
0.6 3
 
0.1%
0.8 5
 
0.1%
0.99 2
 
< 0.1%
ValueCountFrequency (%)
314.0 1
< 0.1%
181.86 1
< 0.1%
107.4 1
< 0.1%
76.0 1
< 0.1%
75.9 1
< 0.1%
70.2 1
< 0.1%
64.0 1
< 0.1%
58.0 1
< 0.1%
52.9 1
< 0.1%
52.39 1
< 0.1%

소재지우편번호
Text

Distinct297
Distinct (%)6.9%
Missing1
Missing (%)< 0.1%
Memory size33.7 KiB
2024-05-11T14:57:03.064680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0230179
Min length6

Characters and Unicode

Total characters25905
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

Unique70 ?
Unique (%)1.6%

Sample

1st row135848
2nd row135892
3rd row135892
4th row135825
5th row135732
ValueCountFrequency (%)
135090 241
 
5.6%
135840 76
 
1.8%
135882 74
 
1.7%
135110 65
 
1.5%
135513 59
 
1.4%
135846 57
 
1.3%
135820 54
 
1.3%
135897 51
 
1.2%
135710 51
 
1.2%
135935 49
 
1.1%
Other values (287) 3524
81.9%
2024-05-11T14:57:03.852872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5507
21.3%
5 5317
20.5%
3 5232
20.2%
8 2674
10.3%
9 2184
 
8.4%
0 1673
 
6.5%
2 1021
 
3.9%
4 826
 
3.2%
7 762
 
2.9%
6 610
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25806
99.6%
Dash Punctuation 99
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5507
21.3%
5 5317
20.6%
3 5232
20.3%
8 2674
10.4%
9 2184
 
8.5%
0 1673
 
6.5%
2 1021
 
4.0%
4 826
 
3.2%
7 762
 
3.0%
6 610
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25905
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5507
21.3%
5 5317
20.5%
3 5232
20.2%
8 2674
10.3%
9 2184
 
8.4%
0 1673
 
6.5%
2 1021
 
3.9%
4 826
 
3.2%
7 762
 
2.9%
6 610
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5507
21.3%
5 5317
20.5%
3 5232
20.2%
8 2674
10.3%
9 2184
 
8.4%
0 1673
 
6.5%
2 1021
 
3.9%
4 826
 
3.2%
7 762
 
2.9%
6 610
 
2.4%

지번주소
Text

Distinct2967
Distinct (%)69.0%
Missing1
Missing (%)< 0.1%
Memory size33.7 KiB
2024-05-11T14:57:04.478388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length22.976982
Min length14

Characters and Unicode

Total characters98824
Distinct characters401
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

Unique2509 ?
Unique (%)58.3%

Sample

1st row서울특별시 강남구 대치동 965-16
2nd row서울특별시 강남구 신사동 587-16 지상4층
3rd row서울특별시 강남구 신사동 587-23 지상8층
4th row서울특별시 강남구 논현동 167-31
5th row서울특별시 강남구 삼성동 159-1 인터콘티넨 1호
ValueCountFrequency (%)
서울특별시 4301
22.2%
강남구 4301
22.2%
역삼동 944
 
4.9%
삼성동 772
 
4.0%
논현동 659
 
3.4%
대치동 626
 
3.2%
신사동 336
 
1.7%
지상1층 329
 
1.7%
도곡동 197
 
1.0%
개포동 179
 
0.9%
Other values (3074) 6750
34.8%
2024-05-11T14:57:05.263806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19281
19.5%
구 4499
 
4.6%
서 4436
 
4.5%
동 4416
 
4.5%
강 4378
 
4.4%
남 4368
 
4.4%
시 4328
 
4.4%
울 4321
 
4.4%
별 4310
 
4.4%
특 4301
 
4.4%
Other values (391) 40186
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55947
56.6%
Space Separator 19281
 
19.5%
Decimal Number 19183
 
19.4%
Dash Punctuation 4054
 
4.1%
Close Punctuation 98
 
0.1%
Open Punctuation 96
 
0.1%
Other Punctuation 77
 
0.1%
Uppercase Letter 77
 
0.1%
Math Symbol 8
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4499
 
8.0%
서 4436
 
7.9%
동 4416
 
7.9%
강 4378
 
7.8%
남 4368
 
7.8%
시 4328
 
7.7%
울 4321
 
7.7%
별 4310
 
7.7%
특 4301
 
7.7%
삼 1849
 
3.3%
Other values (350) 14741
26.3%
Uppercase Letter
ValueCountFrequency (%)
B 16
20.8%
S 9
11.7%
A 7
9.1%
K 6
 
7.8%
I 5
 
6.5%
C 4
 
5.2%
M 4
 
5.2%
G 4
 
5.2%
D 4
 
5.2%
R 3
 
3.9%
Other values (9) 15
19.5%
Decimal Number
ValueCountFrequency (%)
1 4292
22.4%
0 2311
12.0%
2 2026
10.6%
5 1598
 
8.3%
7 1564
 
8.2%
4 1551
 
8.1%
9 1546
 
8.1%
6 1522
 
7.9%
8 1404
 
7.3%
3 1369
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 56
72.7%
. 20
 
26.0%
/ 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
m 1
33.3%
c 1
33.3%
Math Symbol
ValueCountFrequency (%)
| 6
75.0%
~ 2
 
25.0%
Space Separator
ValueCountFrequency (%)
19281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4054
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55947
56.6%
Common 42797
43.3%
Latin 80
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4499
 
8.0%
서 4436
 
7.9%
동 4416
 
7.9%
강 4378
 
7.8%
남 4368
 
7.8%
시 4328
 
7.7%
울 4321
 
7.7%
별 4310
 
7.7%
특 4301
 
7.7%
삼 1849
 
3.3%
Other values (350) 14741
26.3%
Latin
ValueCountFrequency (%)
B 16
20.0%
S 9
11.2%
A 7
 
8.8%
K 6
 
7.5%
I 5
 
6.2%
C 4
 
5.0%
M 4
 
5.0%
G 4
 
5.0%
D 4
 
5.0%
R 3
 
3.8%
Other values (12) 18
22.5%
Common
ValueCountFrequency (%)
19281
45.1%
1 4292
 
10.0%
- 4054
 
9.5%
0 2311
 
5.4%
2 2026
 
4.7%
5 1598
 
3.7%
7 1564
 
3.7%
4 1551
 
3.6%
9 1546
 
3.6%
6 1522
 
3.6%
Other values (9) 3052
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55947
56.6%
ASCII 42877
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19281
45.0%
1 4292
 
10.0%
- 4054
 
9.5%
0 2311
 
5.4%
2 2026
 
4.7%
5 1598
 
3.7%
7 1564
 
3.6%
4 1551
 
3.6%
9 1546
 
3.6%
6 1522
 
3.5%
Other values (31) 3132
 
7.3%
Hangul
ValueCountFrequency (%)
구 4499
 
8.0%
서 4436
 
7.9%
동 4416
 
7.9%
강 4378
 
7.8%
남 4368
 
7.8%
시 4328
 
7.7%
울 4321
 
7.7%
별 4310
 
7.7%
특 4301
 
7.7%
삼 1849
 
3.3%
Other values (350) 14741
26.3%

도로명주소
Text

MISSING 

Distinct791
Distinct (%)89.1%
Missing3414
Missing (%)79.4%
Memory size33.7 KiB
2024-05-11T14:57:05.693141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length32.06982
Min length22

Characters and Unicode

Total characters28478
Distinct characters329
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

Unique751 ?
Unique (%)84.6%

Sample

1st row서울특별시 강남구 역삼로 530 (대치동)
2nd row서울특별시 강남구 삼성로 212 (대치동,은마상가2층)
3rd row서울특별시 강남구 남부순환로 2917 (대치동)
4th row서울특별시 강남구 남부순환로 3154 (대치동)
5th row서울특별시 강남구 논현로175길 49 (신사동)
ValueCountFrequency (%)
서울특별시 888
 
16.3%
강남구 888
 
16.3%
지상1층 210
 
3.9%
역삼동 146
 
2.7%
삼성동 131
 
2.4%
대치동 96
 
1.8%
논현동 87
 
1.6%
1층 83
 
1.5%
지하1층 70
 
1.3%
테헤란로 65
 
1.2%
Other values (1095) 2788
51.1%
2024-05-11T14:57:06.574892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4566
 
16.0%
1 1328
 
4.7%
동 1077
 
3.8%
남 1028
 
3.6%
강 990
 
3.5%
구 944
 
3.3%
서 938
 
3.3%
시 905
 
3.2%
로 904
 
3.2%
) 895
 
3.1%
Other values (319) 14903
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17103
60.1%
Space Separator 4566
 
16.0%
Decimal Number 4107
 
14.4%
Close Punctuation 895
 
3.1%
Open Punctuation 894
 
3.1%
Other Punctuation 791
 
2.8%
Uppercase Letter 84
 
0.3%
Dash Punctuation 34
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1077
 
6.3%
남 1028
 
6.0%
강 990
 
5.8%
구 944
 
5.5%
서 938
 
5.5%
시 905
 
5.3%
로 904
 
5.3%
울 893
 
5.2%
별 890
 
5.2%
특 888
 
5.2%
Other values (284) 7646
44.7%
Uppercase Letter
ValueCountFrequency (%)
B 18
21.4%
S 13
15.5%
A 8
9.5%
C 8
9.5%
K 7
 
8.3%
G 5
 
6.0%
R 4
 
4.8%
I 4
 
4.8%
U 3
 
3.6%
T 3
 
3.6%
Other values (8) 11
13.1%
Decimal Number
ValueCountFrequency (%)
1 1328
32.3%
2 497
 
12.1%
0 398
 
9.7%
3 343
 
8.4%
4 340
 
8.3%
5 332
 
8.1%
6 243
 
5.9%
8 242
 
5.9%
7 220
 
5.4%
9 164
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 789
99.7%
. 2
 
0.3%
Space Separator
ValueCountFrequency (%)
4566
100.0%
Close Punctuation
ValueCountFrequency (%)
) 895
100.0%
Open Punctuation
ValueCountFrequency (%)
( 894
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17103
60.1%
Common 11291
39.6%
Latin 84
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1077
 
6.3%
남 1028
 
6.0%
강 990
 
5.8%
구 944
 
5.5%
서 938
 
5.5%
시 905
 
5.3%
로 904
 
5.3%
울 893
 
5.2%
별 890
 
5.2%
특 888
 
5.2%
Other values (284) 7646
44.7%
Latin
ValueCountFrequency (%)
B 18
21.4%
S 13
15.5%
A 8
9.5%
C 8
9.5%
K 7
 
8.3%
G 5
 
6.0%
R 4
 
4.8%
I 4
 
4.8%
U 3
 
3.6%
T 3
 
3.6%
Other values (8) 11
13.1%
Common
ValueCountFrequency (%)
4566
40.4%
1 1328
 
11.8%
) 895
 
7.9%
( 894
 
7.9%
, 789
 
7.0%
2 497
 
4.4%
0 398
 
3.5%
3 343
 
3.0%
4 340
 
3.0%
5 332
 
2.9%
Other values (7) 909
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17103
60.1%
ASCII 11375
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4566
40.1%
1 1328
 
11.7%
) 895
 
7.9%
( 894
 
7.9%
, 789
 
6.9%
2 497
 
4.4%
0 398
 
3.5%
3 343
 
3.0%
4 340
 
3.0%
5 332
 
2.9%
Other values (25) 993
 
8.7%
Hangul
ValueCountFrequency (%)
동 1077
 
6.3%
남 1028
 
6.0%
강 990
 
5.8%
구 944
 
5.5%
서 938
 
5.5%
시 905
 
5.3%
로 904
 
5.3%
울 893
 
5.2%
별 890
 
5.2%
특 888
 
5.2%
Other values (284) 7646
44.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct281
Distinct (%)31.9%
Missing3420
Missing (%)79.5%
Infinite0
Infinite (%)0.0%
Mean6175.8583
Minimum6000
Maximum6378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.9 KiB
2024-05-11T14:57:06.858918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000
5-th percentile6018
Q16099
median6164
Q36249
95-th percentile6352
Maximum6378
Range378
Interquartile range (IQR)150

Descriptive statistics

Standard deviation103.6423
Coefficient of variation (CV)0.016781846
Kurtosis-0.92157279
Mean6175.8583
Median Absolute Deviation (MAD)77
Skewness0.22549005
Sum5447107
Variance10741.727
MonotonicityNot monotonic
2024-05-11T14:57:07.209447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6164 49
 
1.1%
6351 18
 
0.4%
6280 13
 
0.3%
6134 13
 
0.3%
6172 10
 
0.2%
6194 9
 
0.2%
6114 9
 
0.2%
6099 8
 
0.2%
6293 8
 
0.2%
6241 8
 
0.2%
Other values (271) 737
 
17.1%
(Missing) 3420
79.5%
ValueCountFrequency (%)
6000 2
 
< 0.1%
6001 3
0.1%
6002 2
 
< 0.1%
6004 2
 
< 0.1%
6006 1
 
< 0.1%
6008 1
 
< 0.1%
6009 1
 
< 0.1%
6012 2
 
< 0.1%
6013 7
0.2%
6014 6
0.1%
ValueCountFrequency (%)
6378 3
0.1%
6377 2
 
< 0.1%
6376 3
0.1%
6375 1
 
< 0.1%
6374 1
 
< 0.1%
6373 2
 
< 0.1%
6372 3
0.1%
6369 1
 
< 0.1%
6368 2
 
< 0.1%
6367 6
0.1%

사업장명
Text

Distinct2681
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
2024-05-11T14:57:07.617569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length5.8054393
Min length1

Characters and Unicode

Total characters24975
Distinct characters667
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2283 ?
Unique (%)53.1%

Sample

1st row대치빌딩
2nd row(주)한유통
3rd row성도빌딩
4th row스타노래방
5th row인터콘티넨탈호텔서울
ValueCountFrequency (%)
주)보광 216
 
4.6%
자판기 89
 
1.9%
씨유 63
 
1.3%
무 54
 
1.1%
현대백화점 47
 
1.0%
주)보광훼미리마트 38
 
0.8%
자동판매기 38
 
0.8%
랑광유통(주 37
 
0.8%
오광열 36
 
0.8%
gs25 35
 
0.7%
Other values (2736) 4073
86.2%
2024-05-11T14:57:08.314701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 790
 
3.2%
( 769
 
3.1%
주 761
 
3.0%
점 488
 
2.0%
딩 439
 
1.8%
431
 
1.7%
스 384
 
1.5%
광 383
 
1.5%
자 361
 
1.4%
동 361
 
1.4%
Other values (657) 19808
79.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21995
88.1%
Close Punctuation 791
 
3.2%
Open Punctuation 769
 
3.1%
Decimal Number 570
 
2.3%
Space Separator 431
 
1.7%
Uppercase Letter 314
 
1.3%
Lowercase Letter 76
 
0.3%
Other Punctuation 22
 
0.1%
Dash Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 761
 
3.5%
점 488
 
2.2%
딩 439
 
2.0%
스 384
 
1.7%
광 383
 
1.7%
자 361
 
1.6%
동 361
 
1.6%
기 320
 
1.5%
빌 318
 
1.4%
사 314
 
1.4%
Other values (596) 17866
81.2%
Uppercase Letter
ValueCountFrequency (%)
S 82
26.1%
G 62
19.7%
C 61
19.4%
U 45
14.3%
K 13
 
4.1%
E 8
 
2.5%
P 8
 
2.5%
M 5
 
1.6%
L 5
 
1.6%
I 4
 
1.3%
Other values (10) 21
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 14
18.4%
a 8
10.5%
r 7
 
9.2%
t 5
 
6.6%
l 4
 
5.3%
o 4
 
5.3%
n 4
 
5.3%
i 4
 
5.3%
c 4
 
5.3%
s 4
 
5.3%
Other values (10) 18
23.7%
Decimal Number
ValueCountFrequency (%)
2 190
33.3%
5 104
18.2%
1 89
15.6%
3 47
 
8.2%
0 43
 
7.5%
4 42
 
7.4%
7 26
 
4.6%
9 18
 
3.2%
6 6
 
1.1%
8 5
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 14
63.6%
, 4
 
18.2%
& 2
 
9.1%
? 1
 
4.5%
/ 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 790
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 769
100.0%
Space Separator
ValueCountFrequency (%)
431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21995
88.1%
Common 2590
 
10.4%
Latin 390
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 761
 
3.5%
점 488
 
2.2%
딩 439
 
2.0%
스 384
 
1.7%
광 383
 
1.7%
자 361
 
1.6%
동 361
 
1.6%
기 320
 
1.5%
빌 318
 
1.4%
사 314
 
1.4%
Other values (596) 17866
81.2%
Latin
ValueCountFrequency (%)
S 82
21.0%
G 62
15.9%
C 61
15.6%
U 45
11.5%
e 14
 
3.6%
K 13
 
3.3%
E 8
 
2.1%
a 8
 
2.1%
P 8
 
2.1%
r 7
 
1.8%
Other values (30) 82
21.0%
Common
ValueCountFrequency (%)
) 790
30.5%
( 769
29.7%
431
16.6%
2 190
 
7.3%
5 104
 
4.0%
1 89
 
3.4%
3 47
 
1.8%
0 43
 
1.7%
4 42
 
1.6%
7 26
 
1.0%
Other values (11) 59
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21994
88.1%
ASCII 2979
 
11.9%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 790
26.5%
( 769
25.8%
431
14.5%
2 190
 
6.4%
5 104
 
3.5%
1 89
 
3.0%
S 82
 
2.8%
G 62
 
2.1%
C 61
 
2.0%
3 47
 
1.6%
Other values (50) 354
11.9%
Hangul
ValueCountFrequency (%)
주 761
 
3.5%
점 488
 
2.2%
딩 439
 
2.0%
스 384
 
1.7%
광 383
 
1.7%
자 361
 
1.6%
동 361
 
1.6%
기 320
 
1.5%
빌 318
 
1.4%
사 314
 
1.4%
Other values (595) 17865
81.2%
None
ValueCountFrequency (%)
× 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅖ 1
100.0%

최종수정일자
Date

Distinct1720
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
Minimum1999-03-02 00:00:00
Maximum2024-05-02 09:24:25
2024-05-11T14:57:08.630888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:08.873228image/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 size33.7 KiB
I
3947 
U
 
355

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 3947
91.7%
U 355
 
8.3%

Length

2024-05-11T14:57:09.416185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:09.567561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3947
91.7%
u 355
 
8.3%

데이터갱신일자
Date

Distinct297
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T14:57:09.740337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:57:09.953612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
식품자동판매기영업
4301 
<NA>
 
1

Length

Max length9
Median length9
Mean length8.9988377
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 4301
> 99.9%
<NA> 1
 
< 0.1%

Length

2024-05-11T14:57:10.177811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:10.363474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 4301
> 99.9%
na 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1925
Distinct (%)48.4%
Missing323
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean204064.89
Minimum201509.71
Maximum210558.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.9 KiB
2024-05-11T14:57:10.578704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201509.71
5-th percentile202103.68
Q1202885.6
median203829.43
Q3205122.54
95-th percentile207163.1
Maximum210558.85
Range9049.1411
Interquartile range (IQR)2236.9389

Descriptive statistics

Standard deviation1508.6385
Coefficient of variation (CV)0.007392935
Kurtosis1.1475473
Mean204064.89
Median Absolute Deviation (MAD)1091.2732
Skewness0.92732752
Sum8.119742 × 108
Variance2275990.1
MonotonicityNot monotonic
2024-05-11T14:57:10.828937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205340.631121567 98
 
2.3%
205130.591678902 85
 
2.0%
207534.49462606 67
 
1.6%
203050.783890109 44
 
1.0%
204895.310005801 35
 
0.8%
205446.736406275 32
 
0.7%
202946.808393471 25
 
0.6%
203746.537598441 24
 
0.6%
203604.761651873 23
 
0.5%
205527.23263448 22
 
0.5%
Other values (1915) 3524
81.9%
(Missing) 323
 
7.5%
ValueCountFrequency (%)
201509.712645065 1
 
< 0.1%
201588.001969935 2
< 0.1%
201598.092444518 2
< 0.1%
201626.553096148 1
 
< 0.1%
201639.245453617 3
0.1%
201641.741382771 1
 
< 0.1%
201646.055864734 2
< 0.1%
201646.385389914 1
 
< 0.1%
201657.313312924 1
 
< 0.1%
201662.11017079 1
 
< 0.1%
ValueCountFrequency (%)
210558.853759408 1
< 0.1%
210473.821019121 1
< 0.1%
210442.413455881 1
< 0.1%
210428.018292493 1
< 0.1%
210409.444142629 1
< 0.1%
210399.618416566 1
< 0.1%
209615.652836159 1
< 0.1%
209606.298325623 2
< 0.1%
209592.460472051 1
< 0.1%
209493.356758618 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1924
Distinct (%)48.4%
Missing323
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean444878.74
Minimum439796.04
Maximum447864.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.9 KiB
2024-05-11T14:57:11.056837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439796.04
5-th percentile442545.29
Q1444035.2
median444932.16
Q3445848.77
95-th percentile447045.72
Maximum447864.76
Range8068.7191
Interquartile range (IQR)1813.5672

Descriptive statistics

Standard deviation1368.9785
Coefficient of variation (CV)0.0030771947
Kurtosis-0.0012605787
Mean444878.74
Median Absolute Deviation (MAD)907.19748
Skewness-0.36669655
Sum1.7701725 × 109
Variance1874102.2
MonotonicityNot monotonic
2024-05-11T14:57:11.295235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445354.571117445 98
 
2.3%
445590.096837802 85
 
2.0%
442943.860447203 67
 
1.6%
446316.514036122 44
 
1.0%
444842.923410013 35
 
0.8%
445116.280153369 32
 
0.7%
446125.174367897 25
 
0.6%
444628.07813453 24
 
0.6%
447316.222786487 23
 
0.5%
445571.959914778 22
 
0.5%
Other values (1914) 3524
81.9%
(Missing) 323
 
7.5%
ValueCountFrequency (%)
439796.044686133 1
< 0.1%
439934.38099947 1
< 0.1%
440112.987487173 1
< 0.1%
440137.950597011 1
< 0.1%
440160.783090703 1
< 0.1%
440171.134205723 1
< 0.1%
440195.08445482 1
< 0.1%
440208.558412381 1
< 0.1%
440360.549984704 2
< 0.1%
440481.379196637 1
< 0.1%
ValueCountFrequency (%)
447864.763737276 6
0.1%
447748.161018109 2
 
< 0.1%
447721.814586436 1
 
< 0.1%
447701.012985942 1
 
< 0.1%
447663.86257666 1
 
< 0.1%
447663.101808251 1
 
< 0.1%
447521.520319158 12
0.3%
447467.041964593 1
 
< 0.1%
447456.018370811 1
 
< 0.1%
447403.423352087 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
식품자동판매기영업
4168 
<NA>
 
134

Length

Max length9
Median length9
Mean length8.8442585
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 4168
96.9%
<NA> 134
 
3.1%

Length

2024-05-11T14:57:11.552336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:11.714491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 4168
96.9%
na 134
 
3.1%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
0
3174 
<NA>
1101 
1
 
24
69
 
2
2
 
1

Length

Max length4
Median length1
Mean length1.7682473
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3174
73.8%
<NA> 1101
 
25.6%
1 24
 
0.6%
69 2
 
< 0.1%
2 1
 
< 0.1%

Length

2024-05-11T14:57:11.926890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:12.135954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3174
73.8%
na 1101
 
25.6%
1 24
 
0.6%
69 2
 
< 0.1%
2 1
 
< 0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
0
3184 
<NA>
1101 
1
 
15
69
 
2

Length

Max length4
Median length1
Mean length1.7682473
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 3184
74.0%
<NA> 1101
 
25.6%
1 15
 
0.3%
69 2
 
< 0.1%

Length

2024-05-11T14:57:12.348021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:12.523768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3184
74.0%
na 1101
 
25.6%
1 15
 
0.3%
69 2
 
< 0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
기타
3189 
<NA>
1065 
아파트지역
 
19
유흥업소밀집지역
 
11
주택가주변
 
10
Other values (3)
 
8

Length

Max length8
Median length2
Mean length2.5411437
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 3189
74.1%
<NA> 1065
 
24.8%
아파트지역 19
 
0.4%
유흥업소밀집지역 11
 
0.3%
주택가주변 10
 
0.2%
학교정화(절대) 3
 
0.1%
결혼예식장주변 3
 
0.1%
학교정화(상대) 2
 
< 0.1%

Length

2024-05-11T14:57:12.713975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:12.899445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 3189
74.1%
na 1065
 
24.8%
아파트지역 19
 
0.4%
유흥업소밀집지역 11
 
0.3%
주택가주변 10
 
0.2%
학교정화(절대 3
 
0.1%
결혼예식장주변 3
 
0.1%
학교정화(상대 2
 
< 0.1%

등급구분명
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
기타
2667 
<NA>
1065 
지도
342 
자율
 
219
갑
 
4
Other values (2)
 
5

Length

Max length4
Median length2
Mean length2.4941887
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 2667
62.0%
<NA> 1065
 
24.8%
지도 342
 
7.9%
자율 219
 
5.1%
갑 4
 
0.1%
우수 4
 
0.1%
관리 1
 
< 0.1%

Length

2024-05-11T14:57:13.149194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:13.357045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 2667
62.0%
na 1065
 
24.8%
지도 342
 
7.9%
자율 219
 
5.1%
갑 4
 
0.1%
우수 4
 
0.1%
관리 1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
<NA>
3588 
상수도전용
711 
상수도(음용)지하수(주방용)겸용
 
3

Length

Max length17
Median length4
Mean length4.1743375
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> 3588
83.4%
상수도전용 711
 
16.5%
상수도(음용)지하수(주방용)겸용 3
 
0.1%

Length

2024-05-11T14:57:13.593462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:13.781072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3588
83.4%
상수도전용 711
 
16.5%
상수도(음용)지하수(주방용)겸용 3
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
<NA>
4243 
0
 
59

Length

Max length4
Median length4
Mean length3.9588563
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> 4243
98.6%
0 59
 
1.4%

Length

2024-05-11T14:57:14.004773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:14.191281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4243
98.6%
0 59
 
1.4%

본사종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
<NA>
3273 
0
1029 

Length

Max length4
Median length4
Mean length3.2824268
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> 3273
76.1%
0 1029
 
23.9%

Length

2024-05-11T14:57:14.397383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:14.610051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3273
76.1%
0 1029
 
23.9%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
<NA>
3273 
0
1029 

Length

Max length4
Median length4
Mean length3.2824268
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> 3273
76.1%
0 1029
 
23.9%

Length

2024-05-11T14:57:14.797921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:14.990298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3273
76.1%
0 1029
 
23.9%

공장판매직종업원수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
<NA>
3273 
0
1021 
1
 
8

Length

Max length4
Median length4
Mean length3.2824268
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> 3273
76.1%
0 1021
 
23.7%
1 8
 
0.2%

Length

2024-05-11T14:57:15.197195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:15.429064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3273
76.1%
0 1021
 
23.7%
1 8
 
0.2%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
<NA>
3273 
0
1029 

Length

Max length4
Median length4
Mean length3.2824268
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> 3273
76.1%
0 1029
 
23.9%

Length

2024-05-11T14:57:15.600047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:15.786851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3273
76.1%
0 1029
 
23.9%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
<NA>
3633 
자가
382 
임대
 
287

Length

Max length4
Median length4
Mean length3.6889819
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> 3633
84.4%
자가 382
 
8.9%
임대 287
 
6.7%

Length

2024-05-11T14:57:16.011060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:16.227626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3633
84.4%
자가 382
 
8.9%
임대 287
 
6.7%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
<NA>
3893 
0
409 

Length

Max length4
Median length4
Mean length3.7147838
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> 3893
90.5%
0 409
 
9.5%

Length

2024-05-11T14:57:16.430878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:16.609520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3893
90.5%
0 409
 
9.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
<NA>
3893 
0
409 

Length

Max length4
Median length4
Mean length3.7147838
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> 3893
90.5%
0 409
 
9.5%

Length

2024-05-11T14:57:16.806708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:16.980042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3893
90.5%
0 409
 
9.5%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing133
Missing (%)3.1%
Memory size8.5 KiB
False
4168 
True
 
1
(Missing)
 
133
ValueCountFrequency (%)
False 4168
96.9%
True 1
 
< 0.1%
(Missing) 133
 
3.1%
2024-05-11T14:57:17.140972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct47
Distinct (%)1.1%
Missing133
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean0.44541377
Minimum0
Maximum314
Zeros3875
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size37.9 KiB
2024-05-11T14:57:17.323544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.484
Maximum314
Range314
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.1875079
Coefficient of variation (CV)13.891595
Kurtosis1774.577
Mean0.44541377
Median Absolute Deviation (MAD)0
Skewness38.784182
Sum1856.93
Variance38.285253
MonotonicityNot monotonic
2024-05-11T14:57:17.601901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.0 3875
90.1%
3.3 138
 
3.2%
1.0 39
 
0.9%
3.6 16
 
0.4%
2.0 13
 
0.3%
3.0 13
 
0.3%
1.65 9
 
0.2%
6.6 6
 
0.1%
10.0 5
 
0.1%
0.8 4
 
0.1%
Other values (37) 51
 
1.2%
(Missing) 133
 
3.1%
ValueCountFrequency (%)
0.0 3875
90.1%
0.11 1
 
< 0.1%
0.12 1
 
< 0.1%
0.3 1
 
< 0.1%
0.5 2
 
< 0.1%
0.6 1
 
< 0.1%
0.8 4
 
0.1%
0.99 2
 
< 0.1%
1.0 39
 
0.9%
1.1 2
 
< 0.1%
ValueCountFrequency (%)
314.0 1
 
< 0.1%
181.86 1
 
< 0.1%
76.0 1
 
< 0.1%
75.9 1
 
< 0.1%
58.0 1
 
< 0.1%
52.9 1
 
< 0.1%
52.39 1
 
< 0.1%
40.0 1
 
< 0.1%
30.0 1
 
< 0.1%
20.0 3
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4302
Missing (%)100.0%
Memory size37.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4302
Missing (%)100.0%
Memory size37.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4302
Missing (%)100.0%
Memory size37.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032200003220000-112-1899-0300019991110<NA>3폐업2폐업20110920<NA><NA><NA>02 5673582<NA>135848서울특별시 강남구 대치동 965-16서울특별시 강남구 역삼로 530 (대치동)6186대치빌딩2002-04-09 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업205324.350695444605.323942식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
132200003220000-112-1899-0300119991110<NA>3폐업2폐업20050329<NA><NA><NA>02 5117885<NA>135892서울특별시 강남구 신사동 587-16 지상4층<NA><NA>(주)한유통2002-04-09 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업202527.402058446478.329589식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
232200003220000-112-1899-0300319991110<NA>3폐업2폐업20070307<NA><NA><NA>0234410521<NA>135892서울특별시 강남구 신사동 587-23 지상8층<NA><NA>성도빌딩2002-04-09 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업202502.111899446464.940373식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
332200003220000-112-1948-0170619480106<NA>3폐업2폐업19980207<NA><NA><NA>02 5168514<NA>135825서울특별시 강남구 논현동 167-31<NA><NA>스타노래방2001-08-03 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업202079.398224444993.856792식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
432200003220000-112-1976-0040219760116<NA>3폐업2폐업19970122<NA><NA><NA>02 4166416<NA>135732서울특별시 강남구 삼성동 159-1 인터콘티넨 1호<NA><NA>인터콘티넨탈호텔서울2001-08-03 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업205340.631122445354.571117식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
532200003220000-112-1980-0030019800104<NA>3폐업2폐업20000114<NA><NA><NA>0234459200<NA>135080서울특별시 강남구 역삼동 19-4<NA><NA>자동판매기2000-01-18 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
632200003220000-112-1981-0002219810930<NA>3폐업2폐업19991201<NA><NA><NA>02 4166416<NA>135545서울특별시 강남구 논현동 201-1 영보<NA><NA>무1999-12-01 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업202162.281626444783.308329식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
732200003220000-112-1981-0002319810930<NA>3폐업2폐업20001229<NA><NA><NA>02 4166416<NA>135110서울특별시 강남구 압구정동 193-3 금강 2 2호<NA><NA>금강2001-08-03 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>
832200003220000-112-1981-0002419810930<NA>3폐업2폐업19961217<NA><NA><NA>02 4166416<NA>135882서울특별시 강남구 삼성동 168-4 개인택시조<NA><NA>대신2001-08-03 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업205519.655445301.555식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
932200003220000-112-1981-0002519811001<NA>3폐업2폐업20061221<NA><NA><NA>02 4166416<NA>135868서울특별시 강남구 삼성동 41-77 롯데산업<NA><NA>롯데산업2008-02-11 11:43:12I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
429232200003220000-112-2024-000062024-02-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>135-815서울특별시 강남구 논현동 58-3 삼익악기 빌딩서울특별시 강남구 학동로 171, 삼익악기 빌딩 4-5층 (논현동)6046파크프렌드(경륜경정총괄본부 강남지점)2024-02-23 15:13:59I2023-12-01 22:05:00.0식품자동판매기영업202510.175627445767.512367<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
429332200003220000-112-2024-000072024-02-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.0135-210서울특별시 강남구 율현동 358서울특별시 강남구 밤고개로 252, 지상1층 102호 (율현동)6377씨유 율현중앙점2024-02-26 16:12:00I2023-12-01 22:08:00.0식품자동판매기영업209385.952753441073.852736<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
429432200003220000-112-2024-000082024-03-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3135-240서울특별시 강남구 개포동 1282 개포 래미안 포레스트서울특별시 강남구 개포로 264, 주민공동시설동 지상2층 숲도서관호 (개포동, 개포 래미안 포레스트)6310도원2024-03-04 14:10:00I2023-12-03 00:06:00.0식품자동판매기영업204696.031322441829.029826<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
429532200003220000-112-2024-000092024-03-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>2.0135-850서울특별시 강남구 대치동 992 현대아파트서울특별시 강남구 영동대로57길 28, 상가동 지상1층 2호 (대치동, 현대아파트)6282픽미픽미아이스 대치현대점2024-03-06 12:48:08I2023-12-03 00:08:00.0식품자동판매기영업205704.24979444189.252109<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
429632200003220000-112-2024-000102024-03-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1.5135-912서울특별시 강남구 역삼동 649-3서울특별시 강남구 강남대로94길 36, 지하1층 (역삼동)6134미라클 모닝2024-03-22 11:46:36I2023-12-02 22:04:00.0식품자동판매기영업202602.030403444178.883082<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
429732200003220000-112-2024-000112024-03-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>9.9135-936서울특별시 강남구 역삼동 831-7서울특별시 강남구 강남대로 350, 11층 (역삼동)6242라운지엑스알 현대자동차 강남대로사옥점2024-03-29 15:31:28I2023-12-02 21:01:00.0식품자동판매기영업202613.506453443557.302527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
429832200003220000-112-2024-000122024-04-02<NA>1영업/정상1영업<NA><NA><NA><NA>02 6954778117.83135-951서울특별시 강남구 청담동 40-25 도시빌딩서울특별시 강남구 선릉로 714, 도시빌딩 지상1층 102호 (청담동)6065럭키스팟2024-04-02 13:43:29I2023-12-04 00:04:00.0식품자동판매기영업203553.889959446266.149102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
429932200003220000-112-2024-000132024-04-05<NA>3폐업2폐업2024-04-16<NA><NA><NA><NA>27.0135-834서울특별시 강남구 대치동 514 SETEC서울특별시 강남구 남부순환로 3104, SETEC 지상1층 제3전시장 C132 부스호 (대치동)6287이지씨×좋은이웃2024-04-16 17:01:19U2023-12-03 23:08:00.0식품자동판매기영업206279.206641443733.802684<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430032200003220000-112-2024-000142024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>39.7135-820서울특별시 강남구 논현동 111-27서울특별시 강남구 선릉로 709, 청운빌딩 지상1층 103호 (논현동)6059카페 퍼플민트 청담점2024-04-22 09:23:53I2023-12-03 22:04:00.0식품자동판매기영업203525.599582446221.432922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430132200003220000-112-2024-000152024-04-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3135-090서울특별시 강남구 삼성동 159-8 파르나스타워서울특별시 강남구 테헤란로 521, 파르나스타워 호텔동 지상1층 (삼성동)6164리코에프앤비2024-04-29 13:36:03I2023-12-05 00:01:00.0식품자동판매기영업205314.159889445204.70931<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>