Overview

Dataset statistics

Number of variables44
Number of observations4365
Missing cells46991
Missing cells (%)24.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory377.0 B

Variable types

Categorical19
Text6
DateTime4
Unsupported8
Numeric6
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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18693/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업장주변구분명 is highly imbalanced (60.4%)Imbalance
등급구분명 is highly imbalanced (55.0%)Imbalance
총인원 is highly imbalanced (70.1%)Imbalance
본사종업원수 is highly imbalanced (69.7%)Imbalance
공장사무직종업원수 is highly imbalanced (69.7%)Imbalance
공장판매직종업원수 is highly imbalanced (69.7%)Imbalance
공장생산직종업원수 is highly imbalanced (69.7%)Imbalance
보증액 is highly imbalanced (69.7%)Imbalance
월세액 is highly imbalanced (69.7%)Imbalance
다중이용업소여부 is highly imbalanced (96.3%)Imbalance
인허가취소일자 has 4365 (100.0%) missing valuesMissing
폐업일자 has 1158 (26.5%) missing valuesMissing
휴업시작일자 has 4365 (100.0%) missing valuesMissing
휴업종료일자 has 4365 (100.0%) missing valuesMissing
재개업일자 has 4365 (100.0%) missing valuesMissing
전화번호 has 2463 (56.4%) missing valuesMissing
소재지면적 has 77 (1.8%) missing valuesMissing
도로명주소 has 1551 (35.5%) missing valuesMissing
도로명우편번호 has 1567 (35.9%) missing valuesMissing
좌표정보(X) has 110 (2.5%) missing valuesMissing
좌표정보(Y) has 110 (2.5%) missing valuesMissing
여성종사자수 has 2883 (66.0%) missing valuesMissing
건물소유구분명 has 4365 (100.0%) missing valuesMissing
다중이용업소여부 has 1072 (24.6%) missing valuesMissing
시설총규모 has 1072 (24.6%) missing valuesMissing
전통업소지정번호 has 4365 (100.0%) missing valuesMissing
전통업소주된음식 has 4365 (100.0%) missing valuesMissing
홈페이지 has 4365 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = -23.22278026)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
건물소유구분명 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 207 (4.7%) zerosZeros
여성종사자수 has 812 (18.6%) zerosZeros
시설총규모 has 115 (2.6%) zerosZeros

Reproduction

Analysis started2024-05-11 03:00:40.084739
Analysis finished2024-05-11 03:00:43.356394
Duration3.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
3160000
4365 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 4365
100.0%

Length

2024-05-11T03:00:43.548570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:00:43.906297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 4365
100.0%

관리번호
Text

UNIQUE 

Distinct4365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2024-05-11T03:00:44.441678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters96030
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

Unique4365 ?
Unique (%)100.0%

Sample

1st row3160000-104-1900-07005
2nd row3160000-104-1968-06519
3rd row3160000-104-1968-06912
4th row3160000-104-1969-06828
5th row3160000-104-1969-07044
ValueCountFrequency (%)
3160000-104-1900-07005 1
 
< 0.1%
3160000-104-2017-00145 1
 
< 0.1%
3160000-104-2017-00140 1
 
< 0.1%
3160000-104-2017-00141 1
 
< 0.1%
3160000-104-2017-00142 1
 
< 0.1%
3160000-104-2017-00143 1
 
< 0.1%
3160000-104-2017-00144 1
 
< 0.1%
3160000-104-2018-00048 1
 
< 0.1%
3160000-104-2017-00147 1
 
< 0.1%
3160000-104-2016-00189 1
 
< 0.1%
Other values (4355) 4355
99.8%
2024-05-11T03:00:45.557424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 36994
38.5%
1 14122
 
14.7%
- 13095
 
13.6%
6 6376
 
6.6%
2 6098
 
6.4%
3 5907
 
6.2%
4 5769
 
6.0%
9 2919
 
3.0%
8 1730
 
1.8%
7 1725
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82935
86.4%
Dash Punctuation 13095
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36994
44.6%
1 14122
 
17.0%
6 6376
 
7.7%
2 6098
 
7.4%
3 5907
 
7.1%
4 5769
 
7.0%
9 2919
 
3.5%
8 1730
 
2.1%
7 1725
 
2.1%
5 1295
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 13095
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96030
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 36994
38.5%
1 14122
 
14.7%
- 13095
 
13.6%
6 6376
 
6.6%
2 6098
 
6.4%
3 5907
 
6.2%
4 5769
 
6.0%
9 2919
 
3.0%
8 1730
 
1.8%
7 1725
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96030
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 36994
38.5%
1 14122
 
14.7%
- 13095
 
13.6%
6 6376
 
6.6%
2 6098
 
6.4%
3 5907
 
6.2%
4 5769
 
6.0%
9 2919
 
3.0%
8 1730
 
1.8%
7 1725
 
1.8%

인허가일자
Date

Distinct3227
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
Minimum1900-08-12 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T03:00:45.860873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:00:46.436258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4365
Missing (%)100.0%
Memory size38.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
3
3207 
1
1158 

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 3207
73.5%
1 1158
 
26.5%

Length

2024-05-11T03:00:47.034557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:00:47.383606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3207
73.5%
1 1158
 
26.5%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
폐업
3207 
영업/정상
1158 

Length

Max length5
Median length2
Mean length2.7958763
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3207
73.5%
영업/정상 1158
 
26.5%

Length

2024-05-11T03:00:47.859357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:00:48.190338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3207
73.5%
영업/정상 1158
 
26.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2
3207 
1
1158 

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 3207
73.5%
1 1158
 
26.5%

Length

2024-05-11T03:00:48.517586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:00:49.149697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3207
73.5%
1 1158
 
26.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
폐업
3207 
영업
1158 

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 3207
73.5%
영업 1158
 
26.5%

Length

2024-05-11T03:00:49.616689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:00:49.914954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3207
73.5%
영업 1158
 
26.5%

폐업일자
Date

MISSING 

Distinct2389
Distinct (%)74.5%
Missing1158
Missing (%)26.5%
Memory size34.2 KiB
Minimum1987-10-17 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T03:00:50.255856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:00:50.710279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4365
Missing (%)100.0%
Memory size38.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4365
Missing (%)100.0%
Memory size38.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4365
Missing (%)100.0%
Memory size38.5 KiB

전화번호
Text

MISSING 

Distinct1585
Distinct (%)83.3%
Missing2463
Missing (%)56.4%
Memory size34.2 KiB
2024-05-11T03:00:51.620094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.054679
Min length2

Characters and Unicode

Total characters19124
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

Unique1509 ?
Unique (%)79.3%

Sample

1st row02 00000
2nd row0206126935
3rd row0226335024
4th row02 8532535
5th row0208562463
ValueCountFrequency (%)
02 1227
37.1%
0 80
 
2.4%
0200000000 33
 
1.0%
070 29
 
0.9%
8667700 28
 
0.8%
031 21
 
0.6%
818 20
 
0.6%
00000 18
 
0.5%
0020 14
 
0.4%
855 9
 
0.3%
Other values (1650) 1825
55.2%
2024-05-11T03:00:53.112105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3882
20.3%
2 3286
17.2%
1958
10.2%
6 1892
9.9%
8 1822
9.5%
1 1278
 
6.7%
5 1192
 
6.2%
3 1098
 
5.7%
7 1059
 
5.5%
4 849
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17166
89.8%
Space Separator 1958
 
10.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3882
22.6%
2 3286
19.1%
6 1892
11.0%
8 1822
10.6%
1 1278
 
7.4%
5 1192
 
6.9%
3 1098
 
6.4%
7 1059
 
6.2%
4 849
 
4.9%
9 808
 
4.7%
Space Separator
ValueCountFrequency (%)
1958
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3882
20.3%
2 3286
17.2%
1958
10.2%
6 1892
9.9%
8 1822
9.5%
1 1278
 
6.7%
5 1192
 
6.2%
3 1098
 
5.7%
7 1059
 
5.5%
4 849
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3882
20.3%
2 3286
17.2%
1958
10.2%
6 1892
9.9%
8 1822
9.5%
1 1278
 
6.7%
5 1192
 
6.2%
3 1098
 
5.7%
7 1059
 
5.5%
4 849
 
4.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct2038
Distinct (%)47.5%
Missing77
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean41.383783
Minimum0
Maximum954.47
Zeros207
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size38.5 KiB
2024-05-11T03:00:53.616859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111.4925
median27.34
Q352.8975
95-th percentile121.147
Maximum954.47
Range954.47
Interquartile range (IQR)41.405

Descriptive statistics

Standard deviation51.448275
Coefficient of variation (CV)1.243199
Kurtosis54.702577
Mean41.383783
Median Absolute Deviation (MAD)17.805
Skewness5.2690996
Sum177453.66
Variance2646.925
MonotonicityNot monotonic
2024-05-11T03:00:54.133462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 220
 
5.0%
0.0 207
 
4.7%
6.6 115
 
2.6%
10.0 97
 
2.2%
9.9 53
 
1.2%
33.0 51
 
1.2%
5.0 47
 
1.1%
16.5 41
 
0.9%
30.0 39
 
0.9%
12.0 34
 
0.8%
Other values (2028) 3384
77.5%
(Missing) 77
 
1.8%
ValueCountFrequency (%)
0.0 207
4.7%
1.0 10
 
0.2%
1.2 2
 
< 0.1%
2.0 6
 
0.1%
2.05 1
 
< 0.1%
2.1 1
 
< 0.1%
2.16 1
 
< 0.1%
2.2 1
 
< 0.1%
2.3 1
 
< 0.1%
2.4 1
 
< 0.1%
ValueCountFrequency (%)
954.47 1
 
< 0.1%
714.4 1
 
< 0.1%
690.37 1
 
< 0.1%
631.1 1
 
< 0.1%
600.0 1
 
< 0.1%
500.0 4
0.1%
488.8 1
 
< 0.1%
483.18 1
 
< 0.1%
419.34 1
 
< 0.1%
412.07 1
 
< 0.1%

소재지우편번호
Text

Distinct246
Distinct (%)5.6%
Missing4
Missing (%)0.1%
Memory size34.2 KiB
2024-05-11T03:00:55.080181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.173584
Min length6

Characters and Unicode

Total characters26923
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

Unique48 ?
Unique (%)1.1%

Sample

1st row152871
2nd row152891
3rd row152800
4th row152888
5th row152862
ValueCountFrequency (%)
152706 279
 
6.4%
152862 163
 
3.7%
152848 155
 
3.6%
152-706 122
 
2.8%
152888 112
 
2.6%
152826 107
 
2.5%
152887 103
 
2.4%
152815 89
 
2.0%
152050 88
 
2.0%
152715 85
 
1.9%
Other values (236) 3058
70.1%
2024-05-11T03:00:56.487970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5159
19.2%
1 5103
19.0%
5 5068
18.8%
8 4455
16.5%
0 1672
 
6.2%
6 1319
 
4.9%
7 1241
 
4.6%
4 994
 
3.7%
- 757
 
2.8%
9 589
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26166
97.2%
Dash Punctuation 757
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5159
19.7%
1 5103
19.5%
5 5068
19.4%
8 4455
17.0%
0 1672
 
6.4%
6 1319
 
5.0%
7 1241
 
4.7%
4 994
 
3.8%
9 589
 
2.3%
3 566
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 757
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26923
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5159
19.2%
1 5103
19.0%
5 5068
18.8%
8 4455
16.5%
0 1672
 
6.2%
6 1319
 
4.9%
7 1241
 
4.6%
4 994
 
3.7%
- 757
 
2.8%
9 589
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26923
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5159
19.2%
1 5103
19.0%
5 5068
18.8%
8 4455
16.5%
0 1672
 
6.2%
6 1319
 
4.9%
7 1241
 
4.6%
4 994
 
3.7%
- 757
 
2.8%
9 589
 
2.2%

지번주소
Text

Distinct3273
Distinct (%)75.1%
Missing4
Missing (%)0.1%
Memory size34.2 KiB
2024-05-11T03:00:57.095173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length50
Mean length27.074753
Min length15

Characters and Unicode

Total characters118073
Distinct characters437
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2829 ?
Unique (%)64.9%

Sample

1st row서울특별시 구로구 구로동 716-10번지
2nd row서울특별시 구로구 오류동 23-37번지
3rd row서울특별시 구로구 가리봉동 89-2번지
4th row서울특별시 구로구 신도림동 430-3번지 436-4,22,6
5th row서울특별시 구로구 구로동 586-10번지
ValueCountFrequency (%)
구로구 4362
19.8%
서울특별시 4361
19.8%
구로동 1836
 
8.3%
신도림동 720
 
3.3%
개봉동 552
 
2.5%
고척동 511
 
2.3%
디큐브시티 369
 
1.7%
오류동 343
 
1.6%
1층 304
 
1.4%
692 276
 
1.3%
Other values (3622) 8396
38.1%
2024-05-11T03:00:58.280507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20761
17.6%
구 10773
 
9.1%
로 6365
 
5.4%
1 5160
 
4.4%
시 4792
 
4.1%
동 4660
 
3.9%
울 4379
 
3.7%
서 4378
 
3.7%
별 4364
 
3.7%
특 4361
 
3.7%
Other values (427) 48080
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70344
59.6%
Decimal Number 22383
 
19.0%
Space Separator 20761
 
17.6%
Dash Punctuation 3422
 
2.9%
Uppercase Letter 662
 
0.6%
Other Punctuation 230
 
0.2%
Close Punctuation 112
 
0.1%
Open Punctuation 112
 
0.1%
Lowercase Letter 30
 
< 0.1%
Letter Number 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 10773
15.3%
로 6365
 
9.0%
시 4792
 
6.8%
동 4660
 
6.6%
울 4379
 
6.2%
서 4378
 
6.2%
별 4364
 
6.2%
특 4361
 
6.2%
지 3269
 
4.6%
번 2625
 
3.7%
Other values (369) 20378
29.0%
Uppercase Letter
ValueCountFrequency (%)
B 174
26.3%
A 98
14.8%
K 87
13.1%
C 71
10.7%
F 44
 
6.6%
N 39
 
5.9%
S 37
 
5.6%
G 19
 
2.9%
T 13
 
2.0%
D 12
 
1.8%
Other values (11) 68
 
10.3%
Lowercase Letter
ValueCountFrequency (%)
e 8
26.7%
n 4
13.3%
w 3
 
10.0%
k 3
 
10.0%
a 2
 
6.7%
r 2
 
6.7%
o 2
 
6.7%
c 1
 
3.3%
l 1
 
3.3%
s 1
 
3.3%
Other values (3) 3
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 5160
23.1%
2 3295
14.7%
3 2464
11.0%
0 1954
 
8.7%
6 1934
 
8.6%
5 1710
 
7.6%
7 1667
 
7.4%
4 1608
 
7.2%
9 1372
 
6.1%
8 1219
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 195
84.8%
. 31
 
13.5%
/ 2
 
0.9%
@ 1
 
0.4%
? 1
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅲ 6
60.0%
Ⅰ 2
 
20.0%
Ⅱ 2
 
20.0%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
+ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
20761
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70344
59.6%
Common 47027
39.8%
Latin 702
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 10773
15.3%
로 6365
 
9.0%
시 4792
 
6.8%
동 4660
 
6.6%
울 4379
 
6.2%
서 4378
 
6.2%
별 4364
 
6.2%
특 4361
 
6.2%
지 3269
 
4.6%
번 2625
 
3.7%
Other values (369) 20378
29.0%
Latin
ValueCountFrequency (%)
B 174
24.8%
A 98
14.0%
K 87
12.4%
C 71
10.1%
F 44
 
6.3%
N 39
 
5.6%
S 37
 
5.3%
G 19
 
2.7%
T 13
 
1.9%
D 12
 
1.7%
Other values (27) 108
15.4%
Common
ValueCountFrequency (%)
20761
44.1%
1 5160
 
11.0%
- 3422
 
7.3%
2 3295
 
7.0%
3 2464
 
5.2%
0 1954
 
4.2%
6 1934
 
4.1%
5 1710
 
3.6%
7 1667
 
3.5%
4 1608
 
3.4%
Other values (11) 3052
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70344
59.6%
ASCII 47719
40.4%
Number Forms 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20761
43.5%
1 5160
 
10.8%
- 3422
 
7.2%
2 3295
 
6.9%
3 2464
 
5.2%
0 1954
 
4.1%
6 1934
 
4.1%
5 1710
 
3.6%
7 1667
 
3.5%
4 1608
 
3.4%
Other values (45) 3744
 
7.8%
Hangul
ValueCountFrequency (%)
구 10773
15.3%
로 6365
 
9.0%
시 4792
 
6.8%
동 4660
 
6.6%
울 4379
 
6.2%
서 4378
 
6.2%
별 4364
 
6.2%
특 4361
 
6.2%
지 3269
 
4.6%
번 2625
 
3.7%
Other values (369) 20378
29.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 6
60.0%
Ⅰ 2
 
20.0%
Ⅱ 2
 
20.0%

도로명주소
Text

MISSING 

Distinct2265
Distinct (%)80.5%
Missing1551
Missing (%)35.5%
Memory size34.2 KiB
2024-05-11T03:00:59.162352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length56
Mean length36.568941
Min length21

Characters and Unicode

Total characters102905
Distinct characters427
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2099 ?
Unique (%)74.6%

Sample

1st row서울특별시 구로구 구로동로 101-2 (구로동)
2nd row서울특별시 구로구 구로동로18길 12, 2층 (구로동)
3rd row서울특별시 구로구 구로중앙로 198, 구로기계공구상가 디블럭동 지하1층 23호 (구로동)
4th row서울특별시 구로구 경인로 323 (개봉동)
5th row서울특별시 구로구 구로중앙로34길 36 (구로동)
ValueCountFrequency (%)
서울특별시 2814
 
14.4%
구로구 2813
 
14.4%
1층 1059
 
5.4%
구로동 1013
 
5.2%
경인로 641
 
3.3%
신도림동 579
 
3.0%
662 435
 
2.2%
디큐브시티 368
 
1.9%
지하2층 349
 
1.8%
개봉동 334
 
1.7%
Other values (2082) 9188
46.9%
2024-05-11T03:01:00.829690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16792
 
16.3%
구 7315
 
7.1%
로 7233
 
7.0%
1 4925
 
4.8%
, 3627
 
3.5%
동 3341
 
3.2%
시 3275
 
3.2%
서 2889
 
2.8%
2 2884
 
2.8%
) 2883
 
2.8%
Other values (417) 47741
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59387
57.7%
Space Separator 16792
 
16.3%
Decimal Number 16262
 
15.8%
Other Punctuation 3643
 
3.5%
Close Punctuation 2883
 
2.8%
Open Punctuation 2883
 
2.8%
Uppercase Letter 607
 
0.6%
Dash Punctuation 392
 
0.4%
Lowercase Letter 32
 
< 0.1%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7315
 
12.3%
로 7233
 
12.2%
동 3341
 
5.6%
시 3275
 
5.5%
서 2889
 
4.9%
울 2829
 
4.8%
별 2817
 
4.7%
특 2814
 
4.7%
층 2087
 
3.5%
길 1358
 
2.3%
Other values (356) 23429
39.5%
Uppercase Letter
ValueCountFrequency (%)
B 177
29.2%
A 81
13.3%
C 66
 
10.9%
K 62
 
10.2%
N 39
 
6.4%
S 38
 
6.3%
F 28
 
4.6%
G 16
 
2.6%
E 14
 
2.3%
R 12
 
2.0%
Other values (16) 74
12.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
25.0%
n 5
15.6%
r 3
 
9.4%
w 2
 
6.2%
o 2
 
6.2%
b 2
 
6.2%
a 2
 
6.2%
c 2
 
6.2%
k 2
 
6.2%
t 1
 
3.1%
Other values (3) 3
 
9.4%
Decimal Number
ValueCountFrequency (%)
1 4925
30.3%
2 2884
17.7%
0 1719
 
10.6%
6 1657
 
10.2%
3 1436
 
8.8%
4 930
 
5.7%
5 805
 
5.0%
7 753
 
4.6%
8 603
 
3.7%
9 550
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 3627
99.6%
. 14
 
0.4%
/ 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 6
66.7%
Ⅰ 2
 
22.2%
Ⅱ 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
~ 14
93.3%
+ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
16792
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2883
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2883
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59387
57.7%
Common 42870
41.7%
Latin 648
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7315
 
12.3%
로 7233
 
12.2%
동 3341
 
5.6%
시 3275
 
5.5%
서 2889
 
4.9%
울 2829
 
4.8%
별 2817
 
4.7%
특 2814
 
4.7%
층 2087
 
3.5%
길 1358
 
2.3%
Other values (356) 23429
39.5%
Latin
ValueCountFrequency (%)
B 177
27.3%
A 81
12.5%
C 66
 
10.2%
K 62
 
9.6%
N 39
 
6.0%
S 38
 
5.9%
F 28
 
4.3%
G 16
 
2.5%
E 14
 
2.2%
R 12
 
1.9%
Other values (32) 115
17.7%
Common
ValueCountFrequency (%)
16792
39.2%
1 4925
 
11.5%
, 3627
 
8.5%
2 2884
 
6.7%
) 2883
 
6.7%
( 2883
 
6.7%
0 1719
 
4.0%
6 1657
 
3.9%
3 1436
 
3.3%
4 930
 
2.2%
Other values (9) 3134
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59387
57.7%
ASCII 43509
42.3%
Number Forms 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16792
38.6%
1 4925
 
11.3%
, 3627
 
8.3%
2 2884
 
6.6%
) 2883
 
6.6%
( 2883
 
6.6%
0 1719
 
4.0%
6 1657
 
3.8%
3 1436
 
3.3%
4 930
 
2.1%
Other values (48) 3773
 
8.7%
Hangul
ValueCountFrequency (%)
구 7315
 
12.3%
로 7233
 
12.2%
동 3341
 
5.6%
시 3275
 
5.5%
서 2889
 
4.9%
울 2829
 
4.8%
별 2817
 
4.7%
특 2814
 
4.7%
층 2087
 
3.5%
길 1358
 
2.3%
Other values (356) 23429
39.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 6
66.7%
Ⅰ 2
 
22.2%
Ⅱ 1
 
11.1%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct185
Distinct (%)6.6%
Missing1567
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean8285.747
Minimum4378
Maximum8395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.5 KiB
2024-05-11T03:01:01.297963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4378
5-th percentile8209
Q18223
median8288
Q38343
95-th percentile8390
Maximum8395
Range4017
Interquartile range (IQR)120

Descriptive statistics

Standard deviation97.137296
Coefficient of variation (CV)0.01172342
Kurtosis935.72664
Mean8285.747
Median Absolute Deviation (MAD)62
Skewness-23.22278
Sum23183520
Variance9435.6542
MonotonicityNot monotonic
2024-05-11T03:01:01.848545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8209 442
 
10.1%
8292 106
 
2.4%
8288 71
 
1.6%
8208 53
 
1.2%
8223 42
 
1.0%
8393 39
 
0.9%
8371 37
 
0.8%
8377 36
 
0.8%
8375 35
 
0.8%
8271 35
 
0.8%
Other values (175) 1902
43.6%
(Missing) 1567
35.9%
ValueCountFrequency (%)
4378 1
 
< 0.1%
8200 6
 
0.1%
8201 3
 
0.1%
8202 9
 
0.2%
8203 6
 
0.1%
8204 2
 
< 0.1%
8205 4
 
0.1%
8206 11
 
0.3%
8207 9
 
0.2%
8208 53
1.2%
ValueCountFrequency (%)
8395 13
 
0.3%
8394 3
 
0.1%
8393 39
0.9%
8392 23
0.5%
8391 33
0.8%
8390 30
0.7%
8389 22
0.5%
8388 4
 
0.1%
8387 4
 
0.1%
8386 3
 
0.1%

사업장명
Text

Distinct3845
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2024-05-11T03:01:02.598701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length7.4510882
Min length1

Characters and Unicode

Total characters32524
Distinct characters860
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3535 ?
Unique (%)81.0%

Sample

1st row청자
2nd row은하수
3rd row종점다방
4th row낙원다방
5th row은성다방
ValueCountFrequency (%)
씨유 97
 
1.6%
세븐일레븐 79
 
1.3%
gs25 61
 
1.0%
카페 51
 
0.8%
구로점 50
 
0.8%
디큐브시티점 41
 
0.7%
신도림점 32
 
0.5%
커피 31
 
0.5%
메가엠지씨커피 27
 
0.4%
구로디지털점 27
 
0.4%
Other values (4145) 5759
92.1%
2024-05-11T03:01:04.095478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1894
 
5.8%
점 1288
 
4.0%
스 817
 
2.5%
로 746
 
2.3%
구 694
 
2.1%
이 623
 
1.9%
피 600
 
1.8%
리 578
 
1.8%
( 552
 
1.7%
) 552
 
1.7%
Other values (850) 24180
74.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26082
80.2%
Space Separator 1894
 
5.8%
Uppercase Letter 1547
 
4.8%
Lowercase Letter 1134
 
3.5%
Decimal Number 649
 
2.0%
Open Punctuation 552
 
1.7%
Close Punctuation 552
 
1.7%
Other Punctuation 102
 
0.3%
Dash Punctuation 10
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1288
 
4.9%
스 817
 
3.1%
로 746
 
2.9%
구 694
 
2.7%
이 623
 
2.4%
피 600
 
2.3%
리 578
 
2.2%
커 485
 
1.9%
지 321
 
1.2%
다 314
 
1.2%
Other values (774) 19616
75.2%
Uppercase Letter
ValueCountFrequency (%)
C 201
13.0%
S 186
12.0%
G 175
11.3%
E 114
 
7.4%
O 87
 
5.6%
A 86
 
5.6%
F 75
 
4.8%
P 74
 
4.8%
N 60
 
3.9%
T 58
 
3.7%
Other values (16) 431
27.9%
Lowercase Letter
ValueCountFrequency (%)
e 204
18.0%
a 123
10.8%
o 109
9.6%
f 95
 
8.4%
c 67
 
5.9%
i 60
 
5.3%
n 56
 
4.9%
s 55
 
4.9%
r 47
 
4.1%
l 47
 
4.1%
Other values (15) 271
23.9%
Decimal Number
ValueCountFrequency (%)
2 246
37.9%
5 195
30.0%
1 44
 
6.8%
4 38
 
5.9%
9 36
 
5.5%
0 24
 
3.7%
7 24
 
3.7%
3 19
 
2.9%
6 12
 
1.8%
8 11
 
1.7%
Other Punctuation
ValueCountFrequency (%)
& 39
38.2%
. 22
21.6%
' 15
 
14.7%
, 12
 
11.8%
? 9
 
8.8%
! 2
 
2.0%
# 1
 
1.0%
/ 1
 
1.0%
: 1
 
1.0%
Space Separator
ValueCountFrequency (%)
1894
100.0%
Open Punctuation
ValueCountFrequency (%)
( 552
100.0%
Close Punctuation
ValueCountFrequency (%)
) 552
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26082
80.2%
Common 3761
 
11.6%
Latin 2681
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1288
 
4.9%
스 817
 
3.1%
로 746
 
2.9%
구 694
 
2.7%
이 623
 
2.4%
피 600
 
2.3%
리 578
 
2.2%
커 485
 
1.9%
지 321
 
1.2%
다 314
 
1.2%
Other values (774) 19616
75.2%
Latin
ValueCountFrequency (%)
e 204
 
7.6%
C 201
 
7.5%
S 186
 
6.9%
G 175
 
6.5%
a 123
 
4.6%
E 114
 
4.3%
o 109
 
4.1%
f 95
 
3.5%
O 87
 
3.2%
A 86
 
3.2%
Other values (41) 1301
48.5%
Common
ValueCountFrequency (%)
1894
50.4%
( 552
 
14.7%
) 552
 
14.7%
2 246
 
6.5%
5 195
 
5.2%
1 44
 
1.2%
& 39
 
1.0%
4 38
 
1.0%
9 36
 
1.0%
0 24
 
0.6%
Other values (15) 141
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26080
80.2%
ASCII 6442
 
19.8%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1894
29.4%
( 552
 
8.6%
) 552
 
8.6%
2 246
 
3.8%
e 204
 
3.2%
C 201
 
3.1%
5 195
 
3.0%
S 186
 
2.9%
G 175
 
2.7%
a 123
 
1.9%
Other values (66) 2114
32.8%
Hangul
ValueCountFrequency (%)
점 1288
 
4.9%
스 817
 
3.1%
로 746
 
2.9%
구 694
 
2.7%
이 623
 
2.4%
피 600
 
2.3%
리 578
 
2.2%
커 485
 
1.9%
지 321
 
1.2%
다 314
 
1.2%
Other values (773) 19614
75.2%
Compat Jamo
ValueCountFrequency (%)
ㅋ 2
100.0%

최종수정일자
Date

Distinct3388
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
Minimum1999-12-13 00:00:00
Maximum2024-05-09 15:48:16
2024-05-11T03:01:04.590077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:01:05.047174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
I
2758 
U
1607 

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 2758
63.2%
U 1607
36.8%

Length

2024-05-11T03:01:05.441408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:05.811169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2758
63.2%
u 1607
36.8%

데이터갱신일자
Date

Distinct1080
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T03:01:06.293312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:01:07.038737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
커피숍
1070 
다방
679 
일반조리판매
582 
기타 휴게음식점
452 
편의점
451 
Other values (11)
1131 

Length

Max length8
Median length3
Mean length3.9340206
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
커피숍 1070
24.5%
다방 679
15.6%
일반조리판매 582
13.3%
기타 휴게음식점 452
10.4%
편의점 451
10.3%
백화점 376
 
8.6%
과자점 365
 
8.4%
패스트푸드 317
 
7.3%
철도역구내 26
 
0.6%
아이스크림 21
 
0.5%
Other values (6) 26
 
0.6%

Length

2024-05-11T03:01:07.582948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 1070
22.2%
다방 679
14.1%
일반조리판매 582
12.1%
기타 452
9.4%
휴게음식점 452
9.4%
편의점 451
9.4%
백화점 376
 
7.8%
과자점 365
 
7.6%
패스트푸드 317
 
6.6%
철도역구내 26
 
0.5%
Other values (7) 47
 
1.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1687
Distinct (%)39.6%
Missing110
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean188739.08
Minimum183701.98
Maximum196861.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.5 KiB
2024-05-11T03:01:08.221001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183701.98
5-th percentile185445.18
Q1187247.08
median189570.36
Q3190107.05
95-th percentile190742.48
Maximum196861.35
Range13159.37
Interquartile range (IQR)2859.9655

Descriptive statistics

Standard deviation1810.9877
Coefficient of variation (CV)0.0095951922
Kurtosis-0.46136353
Mean188739.08
Median Absolute Deviation (MAD)844.35365
Skewness-0.76164247
Sum8.0308477 × 108
Variance3279676.6
MonotonicityNot monotonic
2024-05-11T03:01:09.024847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190107.045415333 441
 
10.1%
189570.360930049 225
 
5.2%
190232.524534335 72
 
1.6%
190005.132500398 61
 
1.4%
188669.484398215 37
 
0.8%
190272.747250041 32
 
0.7%
189737.563067918 27
 
0.6%
188840.515865617 25
 
0.6%
189277.761702183 25
 
0.6%
190302.580042588 24
 
0.5%
Other values (1677) 3286
75.3%
(Missing) 110
 
2.5%
ValueCountFrequency (%)
183701.981267554 1
 
< 0.1%
183746.686550444 5
0.1%
183798.274607731 3
0.1%
183807.118188697 1
 
< 0.1%
183856.646621367 2
 
< 0.1%
183874.063801283 1
 
< 0.1%
183889.679941917 2
 
< 0.1%
183935.471635124 2
 
< 0.1%
183966.816298725 2
 
< 0.1%
183969.570522017 2
 
< 0.1%
ValueCountFrequency (%)
196861.350875235 1
 
< 0.1%
191280.657696914 3
0.1%
191251.148859974 1
 
< 0.1%
191250.050385034 3
0.1%
191239.693382941 5
0.1%
191229.896362573 1
 
< 0.1%
191225.591920564 2
 
< 0.1%
191209.106092001 3
0.1%
191205.791543965 1
 
< 0.1%
191200.722936426 2
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1687
Distinct (%)39.6%
Missing110
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean443825.51
Minimum441556.05
Maximum447226.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.5 KiB
2024-05-11T03:01:09.591791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441556.05
5-th percentile442227.99
Q1443074.91
median443881.13
Q3444570.68
95-th percentile445157.63
Maximum447226.72
Range5670.6729
Interquartile range (IQR)1495.766

Descriptive statistics

Standard deviation962.0564
Coefficient of variation (CV)0.0021676456
Kurtosis-1.0134084
Mean443825.51
Median Absolute Deviation (MAD)759.54739
Skewness-0.16315408
Sum1.8884776 × 109
Variance925552.52
MonotonicityNot monotonic
2024-05-11T03:01:10.205941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445157.626366229 441
 
10.1%
444336.051330144 225
 
5.2%
444978.682746138 72
 
1.6%
445250.538868558 61
 
1.4%
444010.738380277 37
 
0.8%
442929.283068723 32
 
0.7%
443329.459368413 27
 
0.6%
444306.771104527 25
 
0.6%
444671.551731639 25
 
0.6%
445174.416440663 24
 
0.5%
Other values (1677) 3286
75.3%
(Missing) 110
 
2.5%
ValueCountFrequency (%)
441556.047600555 1
 
< 0.1%
441599.355055656 1
 
< 0.1%
441667.273859654 1
 
< 0.1%
441686.663572767 2
 
< 0.1%
441744.40616131 5
0.1%
441773.484823975 2
 
< 0.1%
441811.482181569 1
 
< 0.1%
441845.448330645 1
 
< 0.1%
441869.896981343 3
0.1%
441873.504088439 1
 
< 0.1%
ValueCountFrequency (%)
447226.720509901 1
 
< 0.1%
445736.112975672 1
 
< 0.1%
445731.050329548 5
0.1%
445556.641493041 1
 
< 0.1%
445534.088799276 2
 
< 0.1%
445532.056886722 2
 
< 0.1%
445488.900976 2
 
< 0.1%
445458.335742134 7
0.2%
445450.520174199 4
0.1%
445443.032964664 2
 
< 0.1%

위생업태명
Categorical

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
1072 
다방
676 
커피숍
665 
일반조리판매
510 
과자점
362 
Other values (11)
1080 

Length

Max length8
Median length6
Mean length3.9049255
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1072
24.6%
다방 676
15.5%
커피숍 665
15.2%
일반조리판매 510
11.7%
과자점 362
 
8.3%
편의점 290
 
6.6%
기타 휴게음식점 281
 
6.4%
패스트푸드 272
 
6.2%
백화점 191
 
4.4%
철도역구내 18
 
0.4%
Other values (6) 28
 
0.6%

Length

2024-05-11T03:01:10.799273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1072
23.1%
다방 676
14.6%
커피숍 665
14.3%
일반조리판매 510
11.0%
과자점 362
 
7.8%
편의점 290
 
6.2%
기타 281
 
6.0%
휴게음식점 281
 
6.0%
패스트푸드 272
 
5.9%
백화점 191
 
4.1%
Other values (7) 46
 
1.0%

남성종사자수
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
2899 
0
1055 
1
316 
2
 
79
3
 
15

Length

Max length4
Median length4
Mean length2.9924399
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row2
4th row1
5th row0

Common Values

ValueCountFrequency (%)
<NA> 2899
66.4%
0 1055
 
24.2%
1 316
 
7.2%
2 79
 
1.8%
3 15
 
0.3%
6 1
 
< 0.1%

Length

2024-05-11T03:01:11.215815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:11.599218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2899
66.4%
0 1055
 
24.2%
1 316
 
7.2%
2 79
 
1.8%
3 15
 
0.3%
6 1
 
< 0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.6%
Missing2883
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean0.9682861
Minimum0
Maximum15
Zeros812
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size38.5 KiB
2024-05-11T03:01:11.916704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3729099
Coefficient of variation (CV)1.4178762
Kurtosis8.6004405
Mean0.9682861
Median Absolute Deviation (MAD)0
Skewness2.0073155
Sum1435
Variance1.8848815
MonotonicityNot monotonic
2024-05-11T03:01:12.219877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 812
 
18.6%
1 252
 
5.8%
2 203
 
4.7%
3 135
 
3.1%
4 56
 
1.3%
6 10
 
0.2%
5 9
 
0.2%
7 4
 
0.1%
15 1
 
< 0.1%
(Missing) 2883
66.0%
ValueCountFrequency (%)
0 812
18.6%
1 252
 
5.8%
2 203
 
4.7%
3 135
 
3.1%
4 56
 
1.3%
5 9
 
0.2%
6 10
 
0.2%
7 4
 
0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
7 4
 
0.1%
6 10
 
0.2%
5 9
 
0.2%
4 56
 
1.3%
3 135
 
3.1%
2 203
 
4.7%
1 252
 
5.8%
0 812
18.6%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
3245 
기타
683 
주택가주변
 
317
유흥업소밀집지역
 
62
아파트지역
 
53
Other values (3)
 
5

Length

Max length8
Median length4
Mean length3.8327606
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3245
74.3%
기타 683
 
15.6%
주택가주변 317
 
7.3%
유흥업소밀집지역 62
 
1.4%
아파트지역 53
 
1.2%
학교정화(상대) 2
 
< 0.1%
결혼예식장주변 2
 
< 0.1%
학교정화(절대) 1
 
< 0.1%

Length

2024-05-11T03:01:13.015719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:13.400288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3245
74.3%
기타 683
 
15.6%
주택가주변 317
 
7.3%
유흥업소밀집지역 62
 
1.4%
아파트지역 53
 
1.2%
학교정화(상대 2
 
< 0.1%
결혼예식장주변 2
 
< 0.1%
학교정화(절대 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
3264 
을
588 
자율
 
282
지도
 
129
기타
 
50
Other values (2)
 
52

Length

Max length4
Median length4
Mean length3.3495991
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3264
74.8%
을 588
 
13.5%
자율 282
 
6.5%
지도 129
 
3.0%
기타 50
 
1.1%
갑 49
 
1.1%
우수 3
 
0.1%

Length

2024-05-11T03:01:13.901509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:14.250437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3264
74.8%
을 588
 
13.5%
자율 282
 
6.5%
지도 129
 
3.0%
기타 50
 
1.1%
갑 49
 
1.1%
우수 3
 
0.1%

급수시설구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
상수도전용
2509 
<NA>
1852 
상수도(음용)지하수(주방용)겸용
 
4

Length

Max length17
Median length5
Mean length4.5867125
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2509
57.5%
<NA> 1852
42.4%
상수도(음용)지하수(주방용)겸용 4
 
0.1%

Length

2024-05-11T03:01:14.704615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:15.216432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2509
57.5%
na 1852
42.4%
상수도(음용)지하수(주방용)겸용 4
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
4134 
0
 
231

Length

Max length4
Median length4
Mean length3.8412371
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> 4134
94.7%
0 231
 
5.3%

Length

2024-05-11T03:01:15.639823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:16.017152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4134
94.7%
0 231
 
5.3%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
4129 
0
 
236

Length

Max length4
Median length4
Mean length3.8378007
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> 4129
94.6%
0 236
 
5.4%

Length

2024-05-11T03:01:16.430038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:16.881734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4129
94.6%
0 236
 
5.4%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
4129 
0
 
236

Length

Max length4
Median length4
Mean length3.8378007
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> 4129
94.6%
0 236
 
5.4%

Length

2024-05-11T03:01:17.281783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:17.684224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4129
94.6%
0 236
 
5.4%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
4129 
0
 
236

Length

Max length4
Median length4
Mean length3.8378007
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> 4129
94.6%
0 236
 
5.4%

Length

2024-05-11T03:01:18.065256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:18.460822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4129
94.6%
0 236
 
5.4%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
4129 
0
 
236

Length

Max length4
Median length4
Mean length3.8378007
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> 4129
94.6%
0 236
 
5.4%

Length

2024-05-11T03:01:18.866769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:19.312146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4129
94.6%
0 236
 
5.4%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4365
Missing (%)100.0%
Memory size38.5 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
4129 
0
 
236

Length

Max length4
Median length4
Mean length3.8378007
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> 4129
94.6%
0 236
 
5.4%

Length

2024-05-11T03:01:19.846208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:20.232867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4129
94.6%
0 236
 
5.4%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
<NA>
4129 
0
 
236

Length

Max length4
Median length4
Mean length3.8378007
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> 4129
94.6%
0 236
 
5.4%

Length

2024-05-11T03:01:20.659297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:01:21.087538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4129
94.6%
0 236
 
5.4%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing1072
Missing (%)24.6%
Memory size8.7 KiB
False
3280 
True
 
13
(Missing)
1072 
ValueCountFrequency (%)
False 3280
75.1%
True 13
 
0.3%
(Missing) 1072
 
24.6%
2024-05-11T03:01:21.464054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct1729
Distinct (%)52.5%
Missing1072
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean41.789019
Minimum0
Maximum714.4
Zeros115
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size38.5 KiB
2024-05-11T03:01:21.851655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q113.2
median28.56
Q356
95-th percentile118.192
Maximum714.4
Range714.4
Interquartile range (IQR)42.8

Descriptive statistics

Standard deviation47.289272
Coefficient of variation (CV)1.1316196
Kurtosis40.554477
Mean41.789019
Median Absolute Deviation (MAD)18.56
Skewness4.4900714
Sum137611.24
Variance2236.2753
MonotonicityNot monotonic
2024-05-11T03:01:22.455049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 128
 
2.9%
0.0 115
 
2.6%
6.6 87
 
2.0%
10.0 73
 
1.7%
9.9 46
 
1.1%
33.0 42
 
1.0%
16.5 36
 
0.8%
13.2 30
 
0.7%
5.0 29
 
0.7%
12.0 29
 
0.7%
Other values (1719) 2678
61.4%
(Missing) 1072
24.6%
ValueCountFrequency (%)
0.0 115
2.6%
1.0 8
 
0.2%
1.2 2
 
< 0.1%
2.0 4
 
0.1%
2.05 1
 
< 0.1%
2.1 1
 
< 0.1%
2.16 1
 
< 0.1%
2.3 1
 
< 0.1%
2.4 1
 
< 0.1%
2.6 1
 
< 0.1%
ValueCountFrequency (%)
714.4 1
 
< 0.1%
631.1 1
 
< 0.1%
600.0 1
 
< 0.1%
500.0 4
0.1%
488.8 1
 
< 0.1%
412.07 1
 
< 0.1%
289.0 1
 
< 0.1%
268.07 1
 
< 0.1%
263.0 1
 
< 0.1%
254.0 1
 
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4365
Missing (%)100.0%
Memory size38.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4365
Missing (%)100.0%
Memory size38.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4365
Missing (%)100.0%
Memory size38.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031600003160000-104-1900-0700519000812<NA>3폐업2폐업19950821<NA><NA><NA>02 0000084.93152871서울특별시 구로구 구로동 716-10번지<NA><NA>청자2002-01-10 00:00:00I2018-08-31 23:59:59.0다방189741.286133442798.742725다방03기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N84.93<NA><NA><NA>
131600003160000-104-1968-0651919680216<NA>3폐업2폐업19930608<NA><NA><NA>020612693532.47152891서울특별시 구로구 오류동 23-37번지<NA><NA>은하수2002-01-10 00:00:00I2018-08-31 23:59:59.0다방186023.034214443795.279017다방02기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N32.47<NA><NA><NA>
231600003160000-104-1968-0691219680725<NA>3폐업2폐업20110407<NA><NA><NA><NA>7.09152800서울특별시 구로구 가리봉동 89-2번지<NA><NA>종점다방2010-10-07 11:21:22I2018-08-31 23:59:59.0다방189925.537705442513.948952다방23기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N7.09<NA><NA><NA>
331600003160000-104-1969-0682819691008<NA>3폐업2폐업20050506<NA><NA><NA>022633502448.9152888서울특별시 구로구 신도림동 430-3번지 436-4,22,6<NA><NA>낙원다방2002-02-08 00:00:00I2018-08-31 23:59:59.0다방189776.42943444933.961164다방11기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N48.9<NA><NA><NA>
431600003160000-104-1969-0704419691018<NA>3폐업2폐업20010413<NA><NA><NA>02 853253585.43152862서울특별시 구로구 구로동 586-10번지<NA><NA>은성다방2002-04-25 00:00:00I2018-08-31 23:59:59.0다방189491.158649444419.635517다방03기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N85.43<NA><NA><NA>
531600003160000-104-1970-0651619700219<NA>3폐업2폐업19901008<NA><NA><NA>020856246364.5152826서울특별시 구로구 고척동 76-100번지<NA><NA>양2002-01-10 00:00:00I2018-08-31 23:59:59.0다방<NA><NA>다방11기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N64.5<NA><NA><NA>
631600003160000-104-1970-0675619701020<NA>3폐업2폐업20000916<NA><NA><NA>022612677956.48152889서울특별시 구로구 오류동 8-5번지<NA><NA>경인2002-04-30 00:00:00I2018-08-31 23:59:59.0다방185765.052827443642.164363다방11주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N56.48<NA><NA><NA>
731600003160000-104-1970-0675819700428<NA>3폐업2폐업19950310<NA><NA><NA>02 612627168.75152893서울특별시 구로구 오류동 38-3번지<NA><NA>양지2002-01-10 00:00:00I2018-08-31 23:59:59.0다방186078.766128443787.236997다방02유흥업소밀집지역을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N68.75<NA><NA><NA>
831600003160000-104-1970-0675919700204<NA>3폐업2폐업20130419<NA><NA><NA>022613646076.53152893서울특별시 구로구 오류동 40-4번지<NA><NA>거북다방2007-01-24 00:00:00I2018-08-31 23:59:59.0다방186032.129768443748.580368다방02유흥업소밀집지역을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N76.53<NA><NA><NA>
931600003160000-104-1970-0680019700221<NA>3폐업2폐업20061110<NA><NA><NA>02 854306459.22152050서울특별시 구로구 구로동 736-16번지 ,17,18<NA><NA>산길다방2002-02-08 00:00:00I2018-08-31 23:59:59.0다방189747.625449442928.62243다방01기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N59.22<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
435531600003160000-104-2024-000822024-04-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>90.4152-800서울특별시 구로구 가리봉동 124-33서울특별시 구로구 남부순환로105길 112, 2층 (가리봉동)8386뉴욕버거 가산점2024-04-25 10:58:32I2023-12-03 22:07:00.0패스트푸드189973.40683442141.187827<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
435631600003160000-104-2024-000832024-04-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3152-883서울특별시 구로구 궁동 212-14서울특별시 구로구 오리로 1262, 1층 (궁동)8256GS25 구로우신점2024-04-26 14:53:52I2023-12-03 22:08:00.0편의점184993.736668443596.389311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
435731600003160000-104-2024-000842024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3152-140서울특별시 구로구 항동 1 동삼파크빌라서울특별시 구로구 연동로 312, 동삼파크빌라 상가 9동 1층 104, 105호 (항동)8359지에스(GS)25 항동수목원점2024-04-30 17:39:04I2023-12-05 00:02:00.0편의점184385.191942442803.822338<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
435831600003160000-104-2024-000852024-05-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하 2층 (신도림동, 디큐브시티)8209주바른2024-05-01 09:01:36I2023-12-05 00:03:00.0백화점190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
435931600003160000-104-2024-000862024-05-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>66.0152-848서울특별시 구로구 구로동 222-14 에이스하이엔드타워2차서울특별시 구로구 디지털로26길 61, 에이스하이엔드타워2차 1층 105호 일부호 (구로동)8389태성갤러리카페2024-05-01 13:40:53I2023-12-05 00:03:00.0커피숍190676.946163442113.916062<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
436031600003160000-104-2024-000872024-05-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하 2층 (신도림동, 디큐브시티)8209브라운넛2024-05-02 10:13:09I2023-12-05 00:04:00.0백화점190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
436131600003160000-104-2024-000882024-05-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>78.57152-848서울특별시 구로구 구로동 197-28 이앤씨벤처드림타워6차서울특별시 구로구 디지털로31길 41, 이앤씨벤처드림타워6차 1층 102호 (구로동)8375파머스포케 구로디지털점2024-05-03 13:14:15I2023-12-05 00:05:00.0기타 휴게음식점190447.248668442558.310756<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
436231600003160000-104-2024-000892024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하 2층 (신도림동, 디큐브시티)8209브라운넛2024-05-08 11:09:20I2023-12-04 23:00:00.0백화점190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
436331600003160000-104-2024-000902024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3152-090서울특별시 구로구 개봉동 480 현대홈타운2단지서울특별시 구로구 개봉로20길 158, 상가동 1층 101호 (개봉동, 현대홈타운2단지)8330씨유 개봉현대점2024-05-08 11:24:35I2023-12-04 23:00:00.0편의점187692.849984443277.60959<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
436431600003160000-104-2024-000912024-05-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3152-865서울특별시 구로구 구로동 614-50 구로 대명벨리온 지식산업센터서울특별시 구로구 경인로53가길 10, 구로 대명벨리온 지식산업센터 1층 106호 (구로동)8214세븐일레븐 구로대명밸리온점2024-05-09 13:30:24I2023-12-04 23:01:00.0편의점188832.235055444554.302462<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>