Overview

Dataset statistics

Number of variables44
Number of observations6627
Missing cells60729
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18443/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업상태코드 is highly imbalanced (59.7%)Imbalance
영업상태명 is highly imbalanced (59.7%)Imbalance
상세영업상태코드 is highly imbalanced (59.7%)Imbalance
상세영업상태명 is highly imbalanced (59.7%)Imbalance
업태구분명 is highly imbalanced (98.2%)Imbalance
위생업태명 is highly imbalanced (54.2%)Imbalance
남성종사자수 is highly imbalanced (73.2%)Imbalance
여성종사자수 is highly imbalanced (77.6%)Imbalance
영업장주변구분명 is highly imbalanced (85.6%)Imbalance
등급구분명 is highly imbalanced (83.7%)Imbalance
급수시설구분명 is highly imbalanced (78.0%)Imbalance
총인원 is highly imbalanced (68.1%)Imbalance
공장판매직종업원수 is highly imbalanced (67.6%)Imbalance
공장생산직종업원수 is highly imbalanced (62.1%)Imbalance
보증액 is highly imbalanced (54.7%)Imbalance
월세액 is highly imbalanced (54.7%)Imbalance
인허가취소일자 has 6627 (100.0%) missing valuesMissing
폐업일자 has 531 (8.0%) missing valuesMissing
휴업시작일자 has 6627 (100.0%) missing valuesMissing
휴업종료일자 has 6627 (100.0%) missing valuesMissing
재개업일자 has 6627 (100.0%) missing valuesMissing
전화번호 has 4122 (62.2%) missing valuesMissing
소재지면적 has 3466 (52.3%) missing valuesMissing
소재지우편번호 has 289 (4.4%) missing valuesMissing
지번주소 has 285 (4.3%) missing valuesMissing
도로명주소 has 1436 (21.7%) missing valuesMissing
도로명우편번호 has 1485 (22.4%) missing valuesMissing
좌표정보(X) has 79 (1.2%) missing valuesMissing
좌표정보(Y) has 79 (1.2%) missing valuesMissing
다중이용업소여부 has 1284 (19.4%) missing valuesMissing
시설총규모 has 1284 (19.4%) missing valuesMissing
전통업소지정번호 has 6627 (100.0%) missing valuesMissing
전통업소주된음식 has 6627 (100.0%) missing valuesMissing
홈페이지 has 6627 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 63.97177911)Skewed
좌표정보(Y) is highly skewed (γ1 = -37.66979988)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 817 (12.3%) zerosZeros
시설총규모 has 5238 (79.0%) zerosZeros

Reproduction

Analysis started2024-05-11 09:22:14.315015
Analysis finished2024-05-11 09:22:18.488513
Duration4.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
3160000
6627 

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 6627
100.0%

Length

2024-05-11T09:22:18.670554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:18.960251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 6627
100.0%

관리번호
Text

UNIQUE 

Distinct6627
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2024-05-11T09:22:19.423819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters145794
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

Unique6627 ?
Unique (%)100.0%

Sample

1st row3160000-107-1916-00097
2nd row3160000-107-1970-00526
3rd row3160000-107-1970-00527
4th row3160000-107-1970-00528
5th row3160000-107-1970-00530
ValueCountFrequency (%)
3160000-107-1916-00097 1
 
< 0.1%
3160000-107-2020-00154 1
 
< 0.1%
3160000-107-2020-00164 1
 
< 0.1%
3160000-107-2020-00163 1
 
< 0.1%
3160000-107-2020-00162 1
 
< 0.1%
3160000-107-2020-00161 1
 
< 0.1%
3160000-107-2020-00160 1
 
< 0.1%
3160000-107-2020-00159 1
 
< 0.1%
3160000-107-2020-00158 1
 
< 0.1%
3160000-107-2020-00157 1
 
< 0.1%
Other values (6617) 6617
99.8%
2024-05-11T09:22:20.414393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 58327
40.0%
1 19932
 
13.7%
- 19881
 
13.6%
2 11710
 
8.0%
3 9503
 
6.5%
7 8622
 
5.9%
6 8573
 
5.9%
9 2770
 
1.9%
4 2396
 
1.6%
8 2102
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125913
86.4%
Dash Punctuation 19881
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58327
46.3%
1 19932
 
15.8%
2 11710
 
9.3%
3 9503
 
7.5%
7 8622
 
6.8%
6 8573
 
6.8%
9 2770
 
2.2%
4 2396
 
1.9%
8 2102
 
1.7%
5 1978
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 19881
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 145794
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 58327
40.0%
1 19932
 
13.7%
- 19881
 
13.6%
2 11710
 
8.0%
3 9503
 
6.5%
7 8622
 
5.9%
6 8573
 
5.9%
9 2770
 
1.9%
4 2396
 
1.6%
8 2102
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 58327
40.0%
1 19932
 
13.7%
- 19881
 
13.6%
2 11710
 
8.0%
3 9503
 
6.5%
7 8622
 
5.9%
6 8573
 
5.9%
9 2770
 
1.9%
4 2396
 
1.6%
8 2102
 
1.4%
Distinct3331
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
Minimum1916-07-29 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T09:22:20.782894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:22:21.201674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6627
Missing (%)100.0%
Memory size58.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
3
6096 
1
 
531

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 6096
92.0%
1 531
 
8.0%

Length

2024-05-11T09:22:21.586545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:21.895791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6096
92.0%
1 531
 
8.0%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
폐업
6096 
영업/정상
 
531

Length

Max length5
Median length2
Mean length2.2403803
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6096
92.0%
영업/정상 531
 
8.0%

Length

2024-05-11T09:22:22.268929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:22.580317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6096
92.0%
영업/정상 531
 
8.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2
6096 
1
 
531

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 6096
92.0%
1 531
 
8.0%

Length

2024-05-11T09:22:22.932893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:23.262244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6096
92.0%
1 531
 
8.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
폐업
6096 
영업
 
531

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6096
92.0%
영업 531
 
8.0%

Length

2024-05-11T09:22:23.597800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:23.923707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6096
92.0%
영업 531
 
8.0%

폐업일자
Date

MISSING 

Distinct2967
Distinct (%)48.7%
Missing531
Missing (%)8.0%
Memory size51.9 KiB
Minimum1994-03-14 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T09:22:24.282120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:22:24.713105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6627
Missing (%)100.0%
Memory size58.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6627
Missing (%)100.0%
Memory size58.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6627
Missing (%)100.0%
Memory size58.4 KiB

전화번호
Text

MISSING 

Distinct1439
Distinct (%)57.4%
Missing4122
Missing (%)62.2%
Memory size51.9 KiB
2024-05-11T09:22:25.478497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.753293
Min length2

Characters and Unicode

Total characters26937
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

Unique1225 ?
Unique (%)48.9%

Sample

1st row02 0
2nd row02 857 7722
3rd row02 8542715
4th row02 8542735
5th row0226132364
ValueCountFrequency (%)
02 1047
 
19.9%
031 493
 
9.4%
032 102
 
1.9%
070 81
 
1.5%
792 51
 
1.0%
7910 45
 
0.9%
80210642 43
 
0.8%
529 43
 
0.8%
1741 43
 
0.8%
473 40
 
0.8%
Other values (1609) 3277
62.2%
2024-05-11T09:22:26.843792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4322
16.0%
2 4145
15.4%
3390
12.6%
1 2394
8.9%
3 2322
8.6%
8 2079
7.7%
6 2077
7.7%
5 1816
6.7%
4 1595
 
5.9%
7 1404
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23547
87.4%
Space Separator 3390
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4322
18.4%
2 4145
17.6%
1 2394
10.2%
3 2322
9.9%
8 2079
8.8%
6 2077
8.8%
5 1816
7.7%
4 1595
 
6.8%
7 1404
 
6.0%
9 1393
 
5.9%
Space Separator
ValueCountFrequency (%)
3390
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26937
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4322
16.0%
2 4145
15.4%
3390
12.6%
1 2394
8.9%
3 2322
8.6%
8 2079
7.7%
6 2077
7.7%
5 1816
6.7%
4 1595
 
5.9%
7 1404
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26937
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4322
16.0%
2 4145
15.4%
3390
12.6%
1 2394
8.9%
3 2322
8.6%
8 2079
7.7%
6 2077
7.7%
5 1816
6.7%
4 1595
 
5.9%
7 1404
 
5.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct752
Distinct (%)23.8%
Missing3466
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean14.773413
Minimum0
Maximum330
Zeros817
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size58.4 KiB
2024-05-11T09:22:27.446481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q321.98
95-th percentile44.55
Maximum330
Range330
Interquartile range (IQR)21.98

Descriptive statistics

Standard deviation22.129387
Coefficient of variation (CV)1.4979197
Kurtosis59.600326
Mean14.773413
Median Absolute Deviation (MAD)8
Skewness5.8169059
Sum46698.76
Variance489.70976
MonotonicityNot monotonic
2024-05-11T09:22:27.901803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 817
 
12.3%
6.6 132
 
2.0%
3.3 113
 
1.7%
10.0 94
 
1.4%
6.0 79
 
1.2%
33.0 59
 
0.9%
30.0 50
 
0.8%
3.0 50
 
0.8%
15.0 49
 
0.7%
5.0 46
 
0.7%
Other values (742) 1672
25.2%
(Missing) 3466
52.3%
ValueCountFrequency (%)
0.0 817
12.3%
1.0 2
 
< 0.1%
1.08 1
 
< 0.1%
1.1 2
 
< 0.1%
1.12 1
 
< 0.1%
1.2 1
 
< 0.1%
1.3 1
 
< 0.1%
1.35 1
 
< 0.1%
1.4 1
 
< 0.1%
1.5 6
 
0.1%
ValueCountFrequency (%)
330.0 1
< 0.1%
327.2 1
< 0.1%
315.0 1
< 0.1%
266.1 1
< 0.1%
260.0 1
< 0.1%
234.0 1
< 0.1%
232.1 1
< 0.1%
229.39 1
< 0.1%
194.86 1
< 0.1%
188.0 1
< 0.1%

소재지우편번호
Text

MISSING 

Distinct204
Distinct (%)3.2%
Missing289
Missing (%)4.4%
Memory size51.9 KiB
2024-05-11T09:22:28.756297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1244872
Min length6

Characters and Unicode

Total characters38817
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

Unique51 ?
Unique (%)0.8%

Sample

1st row152894
2nd row152872
3rd row152872
4th row152872
5th row152893
ValueCountFrequency (%)
152706 1176
18.6%
152848 479
 
7.6%
152826 451
 
7.1%
152862 340
 
5.4%
152725 326
 
5.1%
152866 302
 
4.8%
152715 274
 
4.3%
152-706 259
 
4.1%
152887 240
 
3.8%
152814 167
 
2.6%
Other values (194) 2324
36.7%
2024-05-11T09:22:30.047118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7867
20.3%
5 7282
18.8%
1 7219
18.6%
8 5591
14.4%
6 3129
 
8.1%
7 2784
 
7.2%
0 2148
 
5.5%
4 1029
 
2.7%
- 789
 
2.0%
3 581
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38028
98.0%
Dash Punctuation 789
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7867
20.7%
5 7282
19.1%
1 7219
19.0%
8 5591
14.7%
6 3129
 
8.2%
7 2784
 
7.3%
0 2148
 
5.6%
4 1029
 
2.7%
3 581
 
1.5%
9 398
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 789
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38817
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7867
20.3%
5 7282
18.8%
1 7219
18.6%
8 5591
14.4%
6 3129
 
8.1%
7 2784
 
7.2%
0 2148
 
5.5%
4 1029
 
2.7%
- 789
 
2.0%
3 581
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7867
20.3%
5 7282
18.8%
1 7219
18.6%
8 5591
14.4%
6 3129
 
8.1%
7 2784
 
7.2%
0 2148
 
5.5%
4 1029
 
2.7%
- 789
 
2.0%
3 581
 
1.5%

지번주소
Text

MISSING 

Distinct1944
Distinct (%)30.7%
Missing285
Missing (%)4.3%
Memory size51.9 KiB
2024-05-11T09:22:30.738248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length25.835383
Min length9

Characters and Unicode

Total characters163848
Distinct characters340
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1591 ?
Unique (%)25.1%

Sample

1st row서울특별시 구로구 오류동 47-1 삼익쇼핑 지하동
2nd row서울특별시 구로구 구로동 735-3
3rd row서울특별시 구로구 구로동 735-3
4th row서울특별시 구로구 구로동 735-3
5th row서울특별시 구로구 오류동 39-4
ValueCountFrequency (%)
구로구 6347
19.9%
서울특별시 6337
19.9%
구로동 2679
 
8.4%
신도림동 1915
 
6.0%
692 1568
 
4.9%
디큐브시티 1424
 
4.5%
고척동 781
 
2.5%
573 595
 
1.9%
188-26 570
 
1.8%
개봉동 567
 
1.8%
Other values (1934) 9065
28.5%
2024-05-11T09:22:32.154439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30503
18.6%
16167
 
9.9%
9884
 
6.0%
7910
 
4.8%
6702
 
4.1%
6472
 
4.0%
6348
 
3.9%
6337
 
3.9%
6337
 
3.9%
2 4542
 
2.8%
Other values (330) 62646
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100510
61.3%
Space Separator 30503
 
18.6%
Decimal Number 27808
 
17.0%
Dash Punctuation 3649
 
2.2%
Uppercase Letter 720
 
0.4%
Close Punctuation 303
 
0.2%
Open Punctuation 302
 
0.2%
Other Punctuation 37
 
< 0.1%
Lowercase Letter 12
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16167
16.1%
9884
 
9.8%
7910
 
7.9%
6702
 
6.7%
6472
 
6.4%
6348
 
6.3%
6337
 
6.3%
6337
 
6.3%
2638
 
2.6%
2615
 
2.6%
Other values (284) 29100
29.0%
Uppercase Letter
ValueCountFrequency (%)
C 141
19.6%
N 139
19.3%
A 135
18.8%
K 132
18.3%
B 65
9.0%
S 39
 
5.4%
G 35
 
4.9%
L 10
 
1.4%
P 6
 
0.8%
T 5
 
0.7%
Other values (8) 13
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 4542
16.3%
1 4483
16.1%
6 3859
13.9%
3 3494
12.6%
9 2275
8.2%
7 2096
7.5%
5 2066
7.4%
8 1956
7.0%
0 1519
 
5.5%
4 1518
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
k 3
25.0%
a 2
16.7%
e 2
16.7%
b 2
16.7%
o 1
 
8.3%
w 1
 
8.3%
r 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 30
81.1%
. 4
 
10.8%
/ 2
 
5.4%
? 1
 
2.7%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
30503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3649
100.0%
Close Punctuation
ValueCountFrequency (%)
) 303
100.0%
Open Punctuation
ValueCountFrequency (%)
( 302
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100510
61.3%
Common 62604
38.2%
Latin 734
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16167
16.1%
9884
 
9.8%
7910
 
7.9%
6702
 
6.7%
6472
 
6.4%
6348
 
6.3%
6337
 
6.3%
6337
 
6.3%
2638
 
2.6%
2615
 
2.6%
Other values (284) 29100
29.0%
Latin
ValueCountFrequency (%)
C 141
19.2%
N 139
18.9%
A 135
18.4%
K 132
18.0%
B 65
8.9%
S 39
 
5.3%
G 35
 
4.8%
L 10
 
1.4%
P 6
 
0.8%
T 5
 
0.7%
Other values (17) 27
 
3.7%
Common
ValueCountFrequency (%)
30503
48.7%
2 4542
 
7.3%
1 4483
 
7.2%
6 3859
 
6.2%
- 3649
 
5.8%
3 3494
 
5.6%
9 2275
 
3.6%
7 2096
 
3.3%
5 2066
 
3.3%
8 1956
 
3.1%
Other values (9) 3681
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100509
61.3%
ASCII 63336
38.7%
Number Forms 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30503
48.2%
2 4542
 
7.2%
1 4483
 
7.1%
6 3859
 
6.1%
- 3649
 
5.8%
3 3494
 
5.5%
9 2275
 
3.6%
7 2096
 
3.3%
5 2066
 
3.3%
8 1956
 
3.1%
Other values (34) 4413
 
7.0%
Hangul
ValueCountFrequency (%)
16167
16.1%
9884
 
9.8%
7910
 
7.9%
6702
 
6.7%
6472
 
6.4%
6348
 
6.3%
6337
 
6.3%
6337
 
6.3%
2638
 
2.6%
2615
 
2.6%
Other values (283) 29099
29.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct1541
Distinct (%)29.7%
Missing1436
Missing (%)21.7%
Memory size51.9 KiB
2024-05-11T09:22:33.047623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length55
Mean length36.392025
Min length22

Characters and Unicode

Total characters188911
Distinct characters317
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

Unique1263 ?
Unique (%)24.3%

Sample

1st row서울특별시 구로구 경인로19가길 14-10 (오류동)
2nd row서울특별시 구로구 구로동로 174 (구로동)
3rd row서울특별시 구로구 구로동로22길 23 (구로동)
4th row서울특별시 구로구 개봉로17길 34, 4,5호 (개봉동, D열)
5th row서울특별시 구로구 디지털로19길 36, 다동 지상1층 (가리봉동)
ValueCountFrequency (%)
서울특별시 5189
 
14.3%
구로구 5188
 
14.3%
경인로 2053
 
5.7%
구로동 1944
 
5.4%
신도림동 1847
 
5.1%
662 1618
 
4.5%
디큐브시티 1528
 
4.2%
지하2층 1465
 
4.0%
지하1층 1054
 
2.9%
1층 863
 
2.4%
Other values (1239) 13509
37.3%
2024-05-11T09:22:34.458488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31077
 
16.5%
13939
 
7.4%
13895
 
7.4%
, 6998
 
3.7%
6812
 
3.6%
2 5802
 
3.1%
5649
 
3.0%
5561
 
2.9%
5243
 
2.8%
) 5241
 
2.8%
Other values (307) 88694
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115948
61.4%
Space Separator 31077
 
16.5%
Decimal Number 23444
 
12.4%
Other Punctuation 7004
 
3.7%
Close Punctuation 5241
 
2.8%
Open Punctuation 5239
 
2.8%
Uppercase Letter 718
 
0.4%
Dash Punctuation 227
 
0.1%
Lowercase Letter 10
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13939
 
12.0%
13895
 
12.0%
6812
 
5.9%
5649
 
4.9%
5561
 
4.8%
5243
 
4.5%
5189
 
4.5%
5189
 
4.5%
3945
 
3.4%
3810
 
3.3%
Other values (263) 46716
40.3%
Uppercase Letter
ValueCountFrequency (%)
A 165
23.0%
K 163
22.7%
C 141
19.6%
N 140
19.5%
B 77
10.7%
S 11
 
1.5%
L 5
 
0.7%
G 3
 
0.4%
D 3
 
0.4%
F 3
 
0.4%
Other values (6) 7
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 5802
24.7%
1 4981
21.2%
6 4435
18.9%
3 2345
10.0%
4 1439
 
6.1%
0 1368
 
5.8%
7 984
 
4.2%
9 800
 
3.4%
5 753
 
3.2%
8 537
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
k 2
20.0%
a 2
20.0%
e 2
20.0%
r 1
10.0%
w 1
10.0%
o 1
10.0%
b 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 6998
99.9%
. 3
 
< 0.1%
/ 2
 
< 0.1%
! 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
31077
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 227
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115948
61.4%
Common 72233
38.2%
Latin 730
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13939
 
12.0%
13895
 
12.0%
6812
 
5.9%
5649
 
4.9%
5561
 
4.8%
5243
 
4.5%
5189
 
4.5%
5189
 
4.5%
3945
 
3.4%
3810
 
3.3%
Other values (263) 46716
40.3%
Latin
ValueCountFrequency (%)
A 165
22.6%
K 163
22.3%
C 141
19.3%
N 140
19.2%
B 77
10.5%
S 11
 
1.5%
L 5
 
0.7%
G 3
 
0.4%
D 3
 
0.4%
F 3
 
0.4%
Other values (15) 19
 
2.6%
Common
ValueCountFrequency (%)
31077
43.0%
, 6998
 
9.7%
2 5802
 
8.0%
) 5241
 
7.3%
( 5239
 
7.3%
1 4981
 
6.9%
6 4435
 
6.1%
3 2345
 
3.2%
4 1439
 
2.0%
0 1368
 
1.9%
Other values (9) 3308
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115948
61.4%
ASCII 72961
38.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31077
42.6%
, 6998
 
9.6%
2 5802
 
8.0%
) 5241
 
7.2%
( 5239
 
7.2%
1 4981
 
6.8%
6 4435
 
6.1%
3 2345
 
3.2%
4 1439
 
2.0%
0 1368
 
1.9%
Other values (32) 4036
 
5.5%
Hangul
ValueCountFrequency (%)
13939
 
12.0%
13895
 
12.0%
6812
 
5.9%
5649
 
4.9%
5561
 
4.8%
5243
 
4.5%
5189
 
4.5%
5189
 
4.5%
3945
 
3.4%
3810
 
3.3%
Other values (263) 46716
40.3%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct168
Distinct (%)3.3%
Missing1485
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean8270.7725
Minimum6775
Maximum28685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.4 KiB
2024-05-11T09:22:34.875068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6775
5-th percentile8209
Q18209
median8252
Q38292
95-th percentile8379
Maximum28685
Range21910
Interquartile range (IQR)83

Descriptive statistics

Standard deviation296.3757
Coefficient of variation (CV)0.035834101
Kurtosis4385.7626
Mean8270.7725
Median Absolute Deviation (MAD)43
Skewness63.971779
Sum42528312
Variance87838.554
MonotonicityNot monotonic
2024-05-11T09:22:35.351774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8209 1613
24.3%
8379 518
 
7.8%
8288 486
 
7.3%
8227 419
 
6.3%
8292 362
 
5.5%
8208 200
 
3.0%
8278 179
 
2.7%
8337 130
 
2.0%
8311 94
 
1.4%
8226 67
 
1.0%
Other values (158) 1074
16.2%
(Missing) 1485
22.4%
ValueCountFrequency (%)
6775 1
 
< 0.1%
8201 2
 
< 0.1%
8202 4
 
0.1%
8203 6
 
0.1%
8205 3
 
< 0.1%
8206 5
 
0.1%
8207 7
 
0.1%
8208 200
 
3.0%
8209 1613
24.3%
8210 3
 
< 0.1%
ValueCountFrequency (%)
28685 1
 
< 0.1%
12048 1
 
< 0.1%
8395 2
 
< 0.1%
8394 1
 
< 0.1%
8393 4
0.1%
8392 4
0.1%
8391 5
0.1%
8390 2
 
< 0.1%
8389 2
 
< 0.1%
8388 8
0.1%
Distinct2712
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2024-05-11T09:22:35.960406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length6.6859816
Min length1

Characters and Unicode

Total characters44308
Distinct characters741
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2048 ?
Unique (%)30.9%

Sample

1st row(주)도드람유통
2nd row가나안기름집
3rd row대구달성상회
4th row황해기름집
5th row오류제유소
ValueCountFrequency (%)
주식회사 431
 
5.6%
주)신세계푸드 117
 
1.5%
주)참살이유통 108
 
1.4%
더프리미엄 76
 
1.0%
주)명진푸드시스템 73
 
0.9%
주)햇살드림 70
 
0.9%
주)토담 65
 
0.8%
주)수라원 61
 
0.8%
주)인네이처 55
 
0.7%
주)미트뱅크 48
 
0.6%
Other values (2909) 6593
85.7%
2024-05-11T09:22:37.145292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2945
 
6.6%
) 2560
 
5.8%
( 2552
 
5.8%
1072
 
2.4%
1056
 
2.4%
897
 
2.0%
884
 
2.0%
821
 
1.9%
776
 
1.8%
667
 
1.5%
Other values (731) 30078
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37174
83.9%
Close Punctuation 2560
 
5.8%
Open Punctuation 2552
 
5.8%
Space Separator 1072
 
2.4%
Lowercase Letter 351
 
0.8%
Uppercase Letter 310
 
0.7%
Other Punctuation 97
 
0.2%
Math Symbol 89
 
0.2%
Decimal Number 81
 
0.2%
Dash Punctuation 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2945
 
7.9%
1056
 
2.8%
897
 
2.4%
884
 
2.4%
821
 
2.2%
776
 
2.1%
667
 
1.8%
660
 
1.8%
650
 
1.7%
616
 
1.7%
Other values (662) 27202
73.2%
Lowercase Letter
ValueCountFrequency (%)
a 42
12.0%
e 39
11.1%
l 32
9.1%
o 31
8.8%
t 30
8.5%
m 29
8.3%
u 25
 
7.1%
s 20
 
5.7%
i 19
 
5.4%
h 12
 
3.4%
Other values (13) 72
20.5%
Uppercase Letter
ValueCountFrequency (%)
B 48
15.5%
F 42
13.5%
S 36
11.6%
A 19
 
6.1%
T 15
 
4.8%
L 14
 
4.5%
C 14
 
4.5%
E 14
 
4.5%
N 14
 
4.5%
K 13
 
4.2%
Other values (11) 81
26.1%
Decimal Number
ValueCountFrequency (%)
2 16
19.8%
1 16
19.8%
0 9
11.1%
3 9
11.1%
5 6
 
7.4%
4 6
 
7.4%
7 6
 
7.4%
6 5
 
6.2%
8 5
 
6.2%
9 3
 
3.7%
Other Punctuation
ValueCountFrequency (%)
& 66
68.0%
. 9
 
9.3%
, 8
 
8.2%
! 6
 
6.2%
? 3
 
3.1%
' 2
 
2.1%
2
 
2.1%
/ 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
> 44
49.4%
< 44
49.4%
× 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 2560
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2552
100.0%
Space Separator
ValueCountFrequency (%)
1072
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37160
83.9%
Common 6473
 
14.6%
Latin 661
 
1.5%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2945
 
7.9%
1056
 
2.8%
897
 
2.4%
884
 
2.4%
821
 
2.2%
776
 
2.1%
667
 
1.8%
660
 
1.8%
650
 
1.7%
616
 
1.7%
Other values (648) 27188
73.2%
Latin
ValueCountFrequency (%)
B 48
 
7.3%
F 42
 
6.4%
a 42
 
6.4%
e 39
 
5.9%
S 36
 
5.4%
l 32
 
4.8%
o 31
 
4.7%
t 30
 
4.5%
m 29
 
4.4%
u 25
 
3.8%
Other values (34) 307
46.4%
Common
ValueCountFrequency (%)
) 2560
39.5%
( 2552
39.4%
1072
16.6%
& 66
 
1.0%
> 44
 
0.7%
< 44
 
0.7%
- 22
 
0.3%
2 16
 
0.2%
1 16
 
0.2%
0 9
 
0.1%
Other values (15) 72
 
1.1%
Han
ValueCountFrequency (%)
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
Other values (4) 4
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37160
83.9%
ASCII 7131
 
16.1%
CJK 13
 
< 0.1%
None 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2945
 
7.9%
1056
 
2.8%
897
 
2.4%
884
 
2.4%
821
 
2.2%
776
 
2.1%
667
 
1.8%
660
 
1.8%
650
 
1.7%
616
 
1.7%
Other values (648) 27188
73.2%
ASCII
ValueCountFrequency (%)
) 2560
35.9%
( 2552
35.8%
1072
15.0%
& 66
 
0.9%
B 48
 
0.7%
> 44
 
0.6%
< 44
 
0.6%
F 42
 
0.6%
a 42
 
0.6%
e 39
 
0.5%
Other values (57) 622
 
8.7%
None
ValueCountFrequency (%)
2
66.7%
× 1
33.3%
CJK
ValueCountFrequency (%)
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Other values (3) 3
23.1%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct4078
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
Minimum1999-03-29 00:00:00
Maximum2024-05-09 17:03:43
2024-05-11T09:22:37.796153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:22:38.322894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
I
3320 
U
3307 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowI
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
I 3320
50.1%
U 3307
49.9%

Length

2024-05-11T09:22:39.036423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:39.461923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3320
50.1%
u 3307
49.9%
Distinct1366
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T09:22:40.146435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:22:41.262993image/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 size51.9 KiB
즉석판매제조가공업
6616 
기타
 
11

Length

Max length9
Median length9
Mean length8.9883809
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 6616
99.8%
기타 11
 
0.2%

Length

2024-05-11T09:22:41.852361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:42.412465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 6616
99.8%
기타 11
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct984
Distinct (%)15.0%
Missing79
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean189245.66
Minimum183560.8
Maximum242074.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.4 KiB
2024-05-11T09:22:42.900179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183560.8
5-th percentile186242.75
Q1187826.57
median190005.13
Q3190107.05
95-th percentile190901.98
Maximum242074.53
Range58513.726
Interquartile range (IQR)2280.4706

Descriptive statistics

Standard deviation1646.3538
Coefficient of variation (CV)0.0086995593
Kurtosis175.79548
Mean189245.66
Median Absolute Deviation (MAD)434.77157
Skewness5.1242291
Sum1.2391806 × 109
Variance2710480.8
MonotonicityNot monotonic
2024-05-11T09:22:43.540500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190107.045415333 1569
23.7%
189570.360930049 674
 
10.2%
190901.977946718 606
 
9.1%
190232.524534335 559
 
8.4%
187785.840457798 476
 
7.2%
188669.484398215 328
 
4.9%
190005.132500398 263
 
4.0%
187009.804317689 146
 
2.2%
187525.339802832 72
 
1.1%
190210.511794 54
 
0.8%
Other values (974) 1801
27.2%
(Missing) 79
 
1.2%
ValueCountFrequency (%)
183560.803834883 1
< 0.1%
183746.686550444 1
< 0.1%
183852.400997364 1
< 0.1%
183954.132777475 1
< 0.1%
183966.816298725 1
< 0.1%
183992.189194863 1
< 0.1%
183995.144929261 1
< 0.1%
184038.202591244 1
< 0.1%
184083.999645648 1
< 0.1%
184158.154452529 1
< 0.1%
ValueCountFrequency (%)
242074.529552311 1
< 0.1%
217677.593637579 1
< 0.1%
203825.862435034 1
< 0.1%
191250.050385034 1
< 0.1%
191239.693382941 1
< 0.1%
191225.591920564 1
< 0.1%
191173.834097241 1
< 0.1%
191156.458136149 1
< 0.1%
191108.796071766 1
< 0.1%
191079.47245981 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct985
Distinct (%)15.0%
Missing79
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean444191.83
Minimum346595.05
Maximum465352.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.4 KiB
2024-05-11T09:22:44.064623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum346595.05
5-th percentile442466.81
Q1443589.88
median444336.05
Q3445157.63
95-th percentile445250.54
Maximum465352.7
Range118757.65
Interquartile range (IQR)1567.7414

Descriptive statistics

Standard deviation1552.8935
Coefficient of variation (CV)0.0034959975
Kurtosis2387.7944
Mean444191.83
Median Absolute Deviation (MAD)821.57504
Skewness-37.6698
Sum2.9085681 × 109
Variance2411478.3
MonotonicityNot monotonic
2024-05-11T09:22:44.839125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445157.626366229 1569
23.7%
444336.051330144 674
 
10.2%
442466.813410528 606
 
9.1%
444978.682746138 559
 
8.4%
443997.135869884 476
 
7.2%
444010.738380277 328
 
4.9%
445250.538868558 263
 
4.0%
443285.606966752 144
 
2.2%
443643.833213749 72
 
1.1%
445488.900976 54
 
0.8%
Other values (975) 1803
27.2%
(Missing) 79
 
1.2%
ValueCountFrequency (%)
346595.052332498 1
< 0.1%
441733.620009246 1
< 0.1%
441744.40616131 1
< 0.1%
441773.484823975 1
< 0.1%
441811.482181569 1
< 0.1%
441862.85496884 2
< 0.1%
441900.772196067 1
< 0.1%
441922.27353307 1
< 0.1%
441923.997508266 1
< 0.1%
441937.41788015 1
< 0.1%
ValueCountFrequency (%)
465352.702828676 1
 
< 0.1%
445601.073248063 1
 
< 0.1%
445556.641493041 1
 
< 0.1%
445488.900976 54
0.8%
445458.335742134 11
 
0.2%
445424.609173067 1
 
< 0.1%
445381.540711693 1
 
< 0.1%
445369.517787461 1
 
< 0.1%
445367.425944571 1
 
< 0.1%
445356.606600145 2
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
즉석판매제조가공업
5332 
<NA>
1284 
기타
 
11

Length

Max length9
Median length9
Mean length8.0196167
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 5332
80.5%
<NA> 1284
 
19.4%
기타 11
 
0.2%

Length

2024-05-11T09:22:45.367591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:45.947371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 5332
80.5%
na 1284
 
19.4%
기타 11
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
5951 
0
 
589
1
 
83
2
 
4

Length

Max length4
Median length4
Mean length3.6939792
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
<NA> 5951
89.8%
0 589
 
8.9%
1 83
 
1.3%
2 4
 
0.1%

Length

2024-05-11T09:22:46.470394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:47.027056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5951
89.8%
0 589
 
8.9%
1 83
 
1.3%
2 4
 
0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
5955 
0
615 
1
 
53
2
 
3
4
 
1

Length

Max length4
Median length4
Mean length3.69579
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5955
89.9%
0 615
 
9.3%
1 53
 
0.8%
2 3
 
< 0.1%
4 1
 
< 0.1%

Length

2024-05-11T09:22:47.649813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:48.137145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5955
89.9%
0 615
 
9.3%
1 53
 
0.8%
2 3
 
< 0.1%
4 1
 
< 0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
6247 
기타
 
298
주택가주변
 
62
아파트지역
 
14
유흥업소밀집지역
 
5

Length

Max length8
Median length4
Mean length3.9251547
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6247
94.3%
기타 298
 
4.5%
주택가주변 62
 
0.9%
아파트지역 14
 
0.2%
유흥업소밀집지역 5
 
0.1%
학교정화(상대) 1
 
< 0.1%

Length

2024-05-11T09:22:48.504638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:48.971138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6247
94.3%
기타 298
 
4.5%
주택가주변 62
 
0.9%
아파트지역 14
 
0.2%
유흥업소밀집지역 5
 
0.1%
학교정화(상대 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
6247 
기타
 
262
자율
 
104
 
12
지도
 
2

Length

Max length4
Median length4
Mean length3.8835069
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6247
94.3%
기타 262
 
4.0%
자율 104
 
1.6%
12
 
0.2%
지도 2
 
< 0.1%

Length

2024-05-11T09:22:49.354625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:49.815571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6247
94.3%
기타 262
 
4.0%
자율 104
 
1.6%
12
 
0.2%
지도 2
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
6202 
상수도전용
 
421
상수도(음용)지하수(주방용)겸용
 
4

Length

Max length17
Median length4
Mean length4.0713747
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6202
93.6%
상수도전용 421
 
6.4%
상수도(음용)지하수(주방용)겸용 4
 
0.1%

Length

2024-05-11T09:22:50.314904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:50.806853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6202
93.6%
상수도전용 421
 
6.4%
상수도(음용)지하수(주방용)겸용 4
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
6243 
0
 
384

Length

Max length4
Median length4
Mean length3.8261657
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> 6243
94.2%
0 384
 
5.8%

Length

2024-05-11T09:22:51.416627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:51.882683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6243
94.2%
0 384
 
5.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
5288 
0
1339 

Length

Max length4
Median length4
Mean length3.3938434
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5288
79.8%
0 1339
 
20.2%

Length

2024-05-11T09:22:52.445990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:53.010905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5288
79.8%
0 1339
 
20.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
5288 
0
1339 

Length

Max length4
Median length4
Mean length3.3938434
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5288
79.8%
0 1339
 
20.2%

Length

2024-05-11T09:22:53.424256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:53.815722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5288
79.8%
0 1339
 
20.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
5273 
0
1338 
1
 
13
2
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.387053
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5273
79.6%
0 1338
 
20.2%
1 13
 
0.2%
2 2
 
< 0.1%
4 1
 
< 0.1%

Length

2024-05-11T09:22:54.349499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:54.805498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5273
79.6%
0 1338
 
20.2%
1 13
 
0.2%
2 2
 
< 0.1%
4 1
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
5270 
0
1336 
1
 
17
2
 
4

Length

Max length4
Median length4
Mean length3.3856949
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5270
79.5%
0 1336
 
20.2%
1 17
 
0.3%
2 4
 
0.1%

Length

2024-05-11T09:22:55.328462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:55.750671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5270
79.5%
0 1336
 
20.2%
1 17
 
0.3%
2 4
 
0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
4790 
자가
1059 
임대
778 

Length

Max length4
Median length4
Mean length3.4456013
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> 4790
72.3%
자가 1059
 
16.0%
임대 778
 
11.7%

Length

2024-05-11T09:22:56.380531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:56.819292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4790
72.3%
자가 1059
 
16.0%
임대 778
 
11.7%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
5997 
0
630 

Length

Max length4
Median length4
Mean length3.7148031
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> 5997
90.5%
0 630
 
9.5%

Length

2024-05-11T09:22:57.327620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:57.935256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5997
90.5%
0 630
 
9.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
<NA>
5997 
0
630 

Length

Max length4
Median length4
Mean length3.7148031
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> 5997
90.5%
0 630
 
9.5%

Length

2024-05-11T09:22:58.375835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:22:58.813273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5997
90.5%
0 630
 
9.5%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing1284
Missing (%)19.4%
Memory size13.1 KiB
False
5343 
(Missing)
1284 
ValueCountFrequency (%)
False 5343
80.6%
(Missing) 1284
 
19.4%
2024-05-11T09:22:59.170377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)0.9%
Missing1284
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean0.23632603
Minimum0
Maximum65
Zeros5238
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size58.4 KiB
2024-05-11T09:22:59.649915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum65
Range65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4063218
Coefficient of variation (CV)10.182212
Kurtosis303.6469
Mean0.23632603
Median Absolute Deviation (MAD)0
Skewness15.716853
Sum1262.69
Variance5.7903848
MonotonicityNot monotonic
2024-05-11T09:23:00.261184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5238
79.0%
6.0 10
 
0.2%
10.0 9
 
0.1%
4.0 8
 
0.1%
3.0 8
 
0.1%
3.3 6
 
0.1%
5.0 5
 
0.1%
9.0 5
 
0.1%
12.0 5
 
0.1%
8.0 3
 
< 0.1%
Other values (40) 46
 
0.7%
(Missing) 1284
 
19.4%
ValueCountFrequency (%)
0.0 5238
79.0%
2.0 1
 
< 0.1%
2.3 1
 
< 0.1%
2.5 1
 
< 0.1%
2.7 1
 
< 0.1%
3.0 8
 
0.1%
3.3 6
 
0.1%
3.35 1
 
< 0.1%
3.6 1
 
< 0.1%
3.61 1
 
< 0.1%
ValueCountFrequency (%)
65.0 1
< 0.1%
60.69 1
< 0.1%
46.58 2
< 0.1%
44.68 1
< 0.1%
37.38 1
< 0.1%
34.0 2
< 0.1%
32.4 1
< 0.1%
30.74 1
< 0.1%
30.0 1
< 0.1%
28.79 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6627
Missing (%)100.0%
Memory size58.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6627
Missing (%)100.0%
Memory size58.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6627
Missing (%)100.0%
Memory size58.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031600003160000-107-1916-0009719160729<NA>3폐업2폐업19961112<NA><NA><NA>02 07.9152894서울특별시 구로구 오류동 47-1 삼익쇼핑 지하동<NA><NA>(주)도드람유통2001-09-26 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업186015.73837443657.614265즉석판매제조가공업<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131600003160000-107-1970-0052619700423<NA>1영업/정상1영업<NA><NA><NA><NA>02 857 772215.92152872서울특별시 구로구 구로동 735-3<NA><NA>가나안기름집2022-12-12 13:47:17U2021-11-01 23:04:00.0즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
231600003160000-107-1970-0052719700430<NA>1영업/정상1영업<NA><NA><NA><NA>02 854271527.0152872서울특별시 구로구 구로동 735-3<NA><NA>대구달성상회2011-09-16 13:43:27I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
331600003160000-107-1970-0052819700504<NA>3폐업2폐업20010131<NA><NA><NA>02 854273512.0152872서울특별시 구로구 구로동 735-3<NA><NA>황해기름집2001-01-31 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업10기타자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431600003160000-107-1970-0053019700509<NA>3폐업2폐업20191028<NA><NA><NA>022613236423.1152893서울특별시 구로구 오류동 39-4서울특별시 구로구 경인로19가길 14-10 (오류동)8268오류제유소2019-10-28 13:32:14U2019-10-30 02:40:00.0즉석판매제조가공업186063.366773443789.055696즉석판매제조가공업00기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
531600003160000-107-1970-0053219700427<NA>1영업/정상1영업<NA><NA><NA><NA>02 854421418.0152872서울특별시 구로구 구로동 735-3<NA><NA>경북제유소2006-02-01 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
631600003160000-107-1972-0052519720328<NA>3폐업2폐업20031126<NA><NA><NA>02 863739118.85152855서울특별시 구로구 구로동 416-1<NA><NA>원주기름집2000-11-15 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업189616.991794443552.232322즉석판매제조가공업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731600003160000-107-1973-0052919730110<NA>3폐업2폐업20141216<NA><NA><NA>02 853109422.26152855서울특별시 구로구 구로동 416-1서울특별시 구로구 구로동로 174 (구로동)8285세광2009-12-07 16:11:05I2018-08-31 23:59:59.0즉석판매제조가공업189616.991794443552.232322즉석판매제조가공업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
831600003160000-107-1975-0053319751208<NA>3폐업2폐업20050926<NA><NA><NA>02 863423014.52152801서울특별시 구로구 가리봉동 132-1<NA><NA>부산제유소2000-08-10 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업190286.156667442310.53즉석판매제조가공업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
931600003160000-107-1976-0052419760416<NA>3폐업2폐업20211026<NA><NA><NA>02 854494716.5152872서울특별시 구로구 구로동 734-19서울특별시 구로구 구로동로22길 23 (구로동)8311상주기름집2021-10-26 17:58:16U2021-10-28 02:40:00.0즉석판매제조가공업189830.231482443050.96847즉석판매제조가공업00기타기타<NA>00000<NA>00N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
661731600003160000-107-2024-001762024-05-01<NA>1영업/정상1영업<NA><NA><NA><NA>031 311 49920.0152-887서울특별시 구로구 신도림동 337 신도림1차푸르지오서울특별시 구로구 경인로 661, 신도림1차푸르지오 지하 1층 (신도림동)8208주식회사한울에프엔비2024-05-01 14:46:56I2023-12-05 00:03:00.0즉석판매제조가공업190005.1325445250.538869<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
661831600003160000-107-2024-001772024-05-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0152-080서울특별시 구로구 고척동 351 고척아이파크서울특별시 구로구 경인로43길 49, B동 1층 (고척동, 고척아이파크)8226주식회사 아이프레시 농업회사법인2024-05-03 14:51:28I2023-12-05 00:05:00.0즉석판매제조가공업187422.915004444002.70458<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
661931600003160000-107-2024-001782024-05-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하 2층 (신도림동, 디큐브시티)8209아띠몽2024-05-03 14:56:23I2023-12-05 00:05:00.0즉석판매제조가공업190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
662031600003160000-107-2024-001792024-05-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>7.3152-810서울특별시 구로구 개봉동 262-27 2층서울특별시 구로구 개봉로16가길 10-10, 2층 (개봉동)8332소쿠리2024-05-07 13:22:39I2023-12-05 00:09:00.0즉석판매제조가공업187303.599812443143.911821<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
662131600003160000-107-2024-001802024-05-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티 지하2층서울특별시 구로구 경인로 662, 지하2층 (신도림동, 디큐브시티)8209신도림방앗간2024-05-07 16:43:11I2023-12-05 00:09:00.0즉석판매제조가공업190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
662231600003160000-107-2024-001812024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>12.0152-800서울특별시 구로구 가리봉동 123-49서울특별시 구로구 우마2길 24, 1층 (가리봉동)8387빵터디저트2024-05-08 11:53:00I2023-12-04 23:01:00.0즉석판매제조가공업190134.346813442210.41903<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
662331600003160000-107-2024-001822024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA>031 792 55210.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하 1층 (신도림동, 디큐브시티)8209주식회사 두성2024-05-08 13:54:46I2023-12-04 23:01:00.0즉석판매제조가공업190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
662431600003160000-107-2024-001832024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.0152-862서울특별시 구로구 구로동 585-3 구로역서울특별시 구로구 구로중앙로 174, 구로역 환승통로 (구로동)8213신현2024-05-08 17:38:12I2023-12-04 23:01:00.0즉석판매제조가공업189510.002758444491.926132<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
662531600003160000-107-2024-001842024-05-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0152-706서울특별시 구로구 신도림동 692 디큐브시티서울특별시 구로구 경인로 662, 지하 1층 (신도림동, 디큐브시티)8209주식회사 두성2024-05-09 16:50:52I2023-12-04 23:01:00.0즉석판매제조가공업190107.045415445157.626366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
662631600003160000-107-2024-001852024-05-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0152-848서울특별시 구로구 구로동 188-26 이마트구로점서울특별시 구로구 디지털로32길 43, 이마트구로점 1층 (구로동)8379주식회사 미래식품2024-05-09 17:03:43I2023-12-04 23:01:00.0즉석판매제조가공업190901.977947442466.813411<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>