Overview

Dataset statistics

Number of variables44
Number of observations403
Missing cells4232
Missing cells (%)23.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory148.5 KiB
Average record size in memory377.3 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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-18419/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
총인원 is highly imbalanced (83.2%)Imbalance
본사종업원수 is highly imbalanced (83.2%)Imbalance
공장사무직종업원수 is highly imbalanced (83.2%)Imbalance
공장판매직종업원수 is highly imbalanced (83.2%)Imbalance
공장생산직종업원수 is highly imbalanced (83.2%)Imbalance
보증액 is highly imbalanced (83.2%)Imbalance
월세액 is highly imbalanced (83.2%)Imbalance
인허가취소일자 has 403 (100.0%) missing valuesMissing
폐업일자 has 72 (17.9%) missing valuesMissing
휴업시작일자 has 403 (100.0%) missing valuesMissing
휴업종료일자 has 403 (100.0%) missing valuesMissing
재개업일자 has 403 (100.0%) missing valuesMissing
전화번호 has 106 (26.3%) missing valuesMissing
소재지면적 has 8 (2.0%) missing valuesMissing
도로명주소 has 259 (64.3%) missing valuesMissing
도로명우편번호 has 259 (64.3%) missing valuesMissing
좌표정보(X) has 31 (7.7%) missing valuesMissing
좌표정보(Y) has 31 (7.7%) missing valuesMissing
남성종사자수 has 150 (37.2%) missing valuesMissing
건물소유구분명 has 403 (100.0%) missing valuesMissing
다중이용업소여부 has 46 (11.4%) missing valuesMissing
시설총규모 has 46 (11.4%) missing valuesMissing
전통업소지정번호 has 403 (100.0%) missing valuesMissing
전통업소주된음식 has 403 (100.0%) missing valuesMissing
홈페이지 has 403 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
남성종사자수 has 135 (33.5%) zerosZeros
시설총규모 has 8 (2.0%) zerosZeros

Reproduction

Analysis started2024-05-11 00:36:05.537652
Analysis finished2024-05-11 00:36:07.630838
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3170000
403 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 403
100.0%

Length

2024-05-11T00:36:07.815562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:08.265744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 403
100.0%

관리번호
Text

UNIQUE 

Distinct403
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:08.731311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters8866
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

Unique403 ?
Unique (%)100.0%

Sample

1st row3170000-121-1977-00504
2nd row3170000-121-1977-00604
3rd row3170000-121-1978-00470
4th row3170000-121-1978-00606
5th row3170000-121-1978-00609
ValueCountFrequency (%)
3170000-121-1977-00504 1
 
0.2%
3170000-121-2008-00001 1
 
0.2%
3170000-121-2009-00002 1
 
0.2%
3170000-121-2009-00001 1
 
0.2%
3170000-121-2008-00010 1
 
0.2%
3170000-121-2008-00009 1
 
0.2%
3170000-121-2008-00008 1
 
0.2%
3170000-121-2008-00007 1
 
0.2%
3170000-121-2008-00006 1
 
0.2%
3170000-121-2008-00005 1
 
0.2%
Other values (393) 393
97.5%
2024-05-11T00:36:10.006347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3093
34.9%
1 1640
18.5%
- 1209
 
13.6%
2 751
 
8.5%
7 515
 
5.8%
3 512
 
5.8%
9 416
 
4.7%
4 200
 
2.3%
5 195
 
2.2%
8 191
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7657
86.4%
Dash Punctuation 1209
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3093
40.4%
1 1640
21.4%
2 751
 
9.8%
7 515
 
6.7%
3 512
 
6.7%
9 416
 
5.4%
4 200
 
2.6%
5 195
 
2.5%
8 191
 
2.5%
6 144
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 1209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3093
34.9%
1 1640
18.5%
- 1209
 
13.6%
2 751
 
8.5%
7 515
 
5.8%
3 512
 
5.8%
9 416
 
4.7%
4 200
 
2.3%
5 195
 
2.2%
8 191
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3093
34.9%
1 1640
18.5%
- 1209
 
13.6%
2 751
 
8.5%
7 515
 
5.8%
3 512
 
5.8%
9 416
 
4.7%
4 200
 
2.3%
5 195
 
2.2%
8 191
 
2.2%

인허가일자
Date

Distinct388
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1977-11-17 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T00:36:10.882545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:36:11.441890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing403
Missing (%)100.0%
Memory size3.7 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3
331 
1
72 

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 (%)
3 331
82.1%
1 72
 
17.9%

Length

2024-05-11T00:36:12.072921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:12.493943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 331
82.1%
1 72
 
17.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
331 
영업/정상
72 

Length

Max length5
Median length2
Mean length2.5359801
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 331
82.1%
영업/정상 72
 
17.9%

Length

2024-05-11T00:36:13.173224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:13.562980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 331
82.1%
영업/정상 72
 
17.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2
331 
1
72 

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 (%)
2 331
82.1%
1 72
 
17.9%

Length

2024-05-11T00:36:13.881875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:14.256653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 331
82.1%
1 72
 
17.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
331 
영업
72 

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 331
82.1%
영업 72
 
17.9%

Length

2024-05-11T00:36:14.787897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:15.216030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 331
82.1%
영업 72
 
17.9%

폐업일자
Date

MISSING 

Distinct266
Distinct (%)80.4%
Missing72
Missing (%)17.9%
Memory size3.3 KiB
Minimum1994-11-05 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T00:36:15.954809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:36:16.611132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing403
Missing (%)100.0%
Memory size3.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing403
Missing (%)100.0%
Memory size3.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing403
Missing (%)100.0%
Memory size3.7 KiB

전화번호
Text

MISSING 

Distinct244
Distinct (%)82.2%
Missing106
Missing (%)26.3%
Memory size3.3 KiB
2024-05-11T00:36:17.446061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.4579125
Min length2

Characters and Unicode

Total characters2809
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

Unique233 ?
Unique (%)78.5%

Sample

1st row02 8530739
2nd row0208552893
3rd row02
4th row0208545262
5th row0200000000
ValueCountFrequency (%)
02 183
38.2%
0200000000 19
 
4.0%
00000 3
 
0.6%
0 3
 
0.6%
0208035421 3
 
0.6%
0221097531 3
 
0.6%
8040140 2
 
0.4%
808 2
 
0.4%
8024567 2
 
0.4%
8579269 2
 
0.4%
Other values (255) 257
53.7%
2024-05-11T00:36:18.918931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 773
27.5%
2 470
16.7%
8 345
12.3%
216
 
7.7%
5 174
 
6.2%
3 161
 
5.7%
9 157
 
5.6%
6 151
 
5.4%
4 143
 
5.1%
1 115
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2593
92.3%
Space Separator 216
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 773
29.8%
2 470
18.1%
8 345
13.3%
5 174
 
6.7%
3 161
 
6.2%
9 157
 
6.1%
6 151
 
5.8%
4 143
 
5.5%
1 115
 
4.4%
7 104
 
4.0%
Space Separator
ValueCountFrequency (%)
216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2809
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 773
27.5%
2 470
16.7%
8 345
12.3%
216
 
7.7%
5 174
 
6.2%
3 161
 
5.7%
9 157
 
5.6%
6 151
 
5.4%
4 143
 
5.1%
1 115
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2809
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 773
27.5%
2 470
16.7%
8 345
12.3%
216
 
7.7%
5 174
 
6.2%
3 161
 
5.7%
9 157
 
5.6%
6 151
 
5.4%
4 143
 
5.1%
1 115
 
4.1%

소재지면적
Real number (ℝ)

MISSING 

Distinct365
Distinct (%)92.4%
Missing8
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean39.80443
Minimum1
Maximum221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T00:36:19.561236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q122.505
median31.6
Q346.2
95-th percentile97.982
Maximum221
Range220
Interquartile range (IQR)23.695

Descriptive statistics

Standard deviation29.958346
Coefficient of variation (CV)0.75263849
Kurtosis7.6400948
Mean39.80443
Median Absolute Deviation (MAD)10.98
Skewness2.3794895
Sum15722.75
Variance897.50251
MonotonicityNot monotonic
2024-05-11T00:36:20.127723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.1 4
 
1.0%
12.0 3
 
0.7%
27.2 3
 
0.7%
15.6 3
 
0.7%
16.0 3
 
0.7%
25.81 2
 
0.5%
28.5 2
 
0.5%
46.2 2
 
0.5%
33.0 2
 
0.5%
34.0 2
 
0.5%
Other values (355) 369
91.6%
(Missing) 8
 
2.0%
ValueCountFrequency (%)
1.0 1
0.2%
1.29 1
0.2%
3.0 1
0.2%
3.7 1
0.2%
4.28 1
0.2%
5.05 1
0.2%
5.46 1
0.2%
6.48 1
0.2%
7.0 1
0.2%
7.54 1
0.2%
ValueCountFrequency (%)
221.0 1
0.2%
187.5 1
0.2%
176.86 1
0.2%
164.04 1
0.2%
161.01 2
0.5%
140.61 1
0.2%
133.45 1
0.2%
129.4 1
0.2%
127.1 1
0.2%
124.7 1
0.2%

소재지우편번호
Text

Distinct73
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:20.675734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0794045
Min length6

Characters and Unicode

Total characters2450
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

Unique22 ?
Unique (%)5.5%

Sample

1st row153823
2nd row153805
3rd row153820
4th row153010
5th row153817
ValueCountFrequency (%)
153813 25
 
6.2%
153801 21
 
5.2%
153864 20
 
5.0%
153857 18
 
4.5%
153858 17
 
4.2%
153010 16
 
4.0%
153832 15
 
3.7%
153823 14
 
3.5%
153841 13
 
3.2%
153854 13
 
3.2%
Other values (63) 231
57.3%
2024-05-11T00:36:21.623161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 532
21.7%
3 530
21.6%
5 509
20.8%
8 383
15.6%
0 150
 
6.1%
2 84
 
3.4%
6 78
 
3.2%
4 69
 
2.8%
7 50
 
2.0%
9 33
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2418
98.7%
Dash Punctuation 32
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 532
22.0%
3 530
21.9%
5 509
21.1%
8 383
15.8%
0 150
 
6.2%
2 84
 
3.5%
6 78
 
3.2%
4 69
 
2.9%
7 50
 
2.1%
9 33
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2450
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 532
21.7%
3 530
21.6%
5 509
20.8%
8 383
15.6%
0 150
 
6.1%
2 84
 
3.4%
6 78
 
3.2%
4 69
 
2.8%
7 50
 
2.0%
9 33
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 532
21.7%
3 530
21.6%
5 509
20.8%
8 383
15.6%
0 150
 
6.1%
2 84
 
3.4%
6 78
 
3.2%
4 69
 
2.8%
7 50
 
2.0%
9 33
 
1.3%

지번주소
Text

Distinct366
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:22.281524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length27.766749
Min length19

Characters and Unicode

Total characters11190
Distinct characters189
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)82.9%

Sample

1st row서울특별시 금천구 독산동 968-0번지
2nd row서울특별시 금천구 독산동 61-25번지
3rd row서울특별시 금천구 독산동 901-9번지
4th row서울특별시 금천구 독산동 34-4번지
5th row서울특별시 금천구 독산동 404-5번지
ValueCountFrequency (%)
서울특별시 403
20.0%
금천구 403
20.0%
독산동 176
 
8.8%
시흥동 172
 
8.6%
지상1층 86
 
4.3%
가산동 55
 
2.7%
295-10번지 15
 
0.7%
지하1층 13
 
0.6%
1층 12
 
0.6%
독산동길 8
 
0.4%
Other values (526) 667
33.2%
2024-05-11T00:36:23.223500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1949
 
17.4%
시 599
 
5.4%
1 575
 
5.1%
지 467
 
4.2%
금 433
 
3.9%
천 433
 
3.9%
동 431
 
3.9%
울 409
 
3.7%
서 406
 
3.6%
구 405
 
3.6%
Other values (179) 5083
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6372
56.9%
Decimal Number 2325
 
20.8%
Space Separator 1949
 
17.4%
Dash Punctuation 394
 
3.5%
Close Punctuation 57
 
0.5%
Open Punctuation 57
 
0.5%
Uppercase Letter 22
 
0.2%
Other Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 599
 
9.4%
지 467
 
7.3%
금 433
 
6.8%
천 433
 
6.8%
동 431
 
6.8%
울 409
 
6.4%
서 406
 
6.4%
구 405
 
6.4%
특 403
 
6.3%
별 403
 
6.3%
Other values (155) 1983
31.1%
Decimal Number
ValueCountFrequency (%)
1 575
24.7%
0 262
11.3%
9 259
11.1%
2 238
10.2%
3 203
 
8.7%
8 202
 
8.7%
4 183
 
7.9%
5 165
 
7.1%
7 128
 
5.5%
6 110
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 9
40.9%
I 3
 
13.6%
A 3
 
13.6%
T 2
 
9.1%
S 1
 
4.5%
L 1
 
4.5%
P 1
 
4.5%
O 1
 
4.5%
D 1
 
4.5%
Space Separator
ValueCountFrequency (%)
1949
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6372
56.9%
Common 4796
42.9%
Latin 22
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 599
 
9.4%
지 467
 
7.3%
금 433
 
6.8%
천 433
 
6.8%
동 431
 
6.8%
울 409
 
6.4%
서 406
 
6.4%
구 405
 
6.4%
특 403
 
6.3%
별 403
 
6.3%
Other values (155) 1983
31.1%
Common
ValueCountFrequency (%)
1949
40.6%
1 575
 
12.0%
- 394
 
8.2%
0 262
 
5.5%
9 259
 
5.4%
2 238
 
5.0%
3 203
 
4.2%
8 202
 
4.2%
4 183
 
3.8%
5 165
 
3.4%
Other values (5) 366
 
7.6%
Latin
ValueCountFrequency (%)
B 9
40.9%
I 3
 
13.6%
A 3
 
13.6%
T 2
 
9.1%
S 1
 
4.5%
L 1
 
4.5%
P 1
 
4.5%
O 1
 
4.5%
D 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6372
56.9%
ASCII 4818
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1949
40.5%
1 575
 
11.9%
- 394
 
8.2%
0 262
 
5.4%
9 259
 
5.4%
2 238
 
4.9%
3 203
 
4.2%
8 202
 
4.2%
4 183
 
3.8%
5 165
 
3.4%
Other values (14) 388
 
8.1%
Hangul
ValueCountFrequency (%)
시 599
 
9.4%
지 467
 
7.3%
금 433
 
6.8%
천 433
 
6.8%
동 431
 
6.8%
울 409
 
6.4%
서 406
 
6.4%
구 405
 
6.4%
특 403
 
6.3%
별 403
 
6.3%
Other values (155) 1983
31.1%

도로명주소
Text

MISSING 

Distinct138
Distinct (%)95.8%
Missing259
Missing (%)64.3%
Memory size3.3 KiB
2024-05-11T00:36:23.773576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length37.944444
Min length21

Characters and Unicode

Total characters5464
Distinct characters167
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)91.7%

Sample

1st row서울특별시 금천구 독산로 247 (독산동,지상1층 (독산동길 122))
2nd row서울특별시 금천구 시흥대로28길 15 (시흥동,지상1층 (금산초등길 11))
3rd row서울특별시 금천구 시흥대로 92, 지상1층 (시흥동)
4th row서울특별시 금천구 독산로 349 (독산동,지상1층 (독산동길 20))
5th row서울특별시 금천구 시흥대로 149 (시흥동,(시흥대로 536))
ValueCountFrequency (%)
서울특별시 144
 
14.0%
금천구 144
 
14.0%
지상1층 53
 
5.2%
독산동 44
 
4.3%
시흥동 41
 
4.0%
시흥대로 37
 
3.6%
가산동 33
 
3.2%
1층 23
 
2.2%
독산로 16
 
1.6%
가산디지털1로 13
 
1.3%
Other values (299) 477
46.5%
2024-05-11T00:36:24.816741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
882
 
16.1%
1 336
 
6.1%
시 254
 
4.6%
, 188
 
3.4%
금 179
 
3.3%
동 172
 
3.1%
천 162
 
3.0%
( 158
 
2.9%
) 158
 
2.9%
산 156
 
2.9%
Other values (157) 2819
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3142
57.5%
Decimal Number 894
 
16.4%
Space Separator 882
 
16.1%
Other Punctuation 188
 
3.4%
Open Punctuation 158
 
2.9%
Close Punctuation 158
 
2.9%
Uppercase Letter 25
 
0.5%
Dash Punctuation 17
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 254
 
8.1%
금 179
 
5.7%
동 172
 
5.5%
천 162
 
5.2%
산 156
 
5.0%
울 149
 
4.7%
서 147
 
4.7%
로 145
 
4.6%
구 144
 
4.6%
별 144
 
4.6%
Other values (132) 1490
47.4%
Decimal Number
ValueCountFrequency (%)
1 336
37.6%
2 106
 
11.9%
0 103
 
11.5%
3 79
 
8.8%
9 59
 
6.6%
6 48
 
5.4%
4 47
 
5.3%
7 41
 
4.6%
5 38
 
4.3%
8 37
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 9
36.0%
A 4
16.0%
I 3
 
12.0%
S 2
 
8.0%
T 2
 
8.0%
D 1
 
4.0%
P 1
 
4.0%
O 1
 
4.0%
L 1
 
4.0%
G 1
 
4.0%
Space Separator
ValueCountFrequency (%)
882
100.0%
Other Punctuation
ValueCountFrequency (%)
, 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3142
57.5%
Common 2297
42.0%
Latin 25
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 254
 
8.1%
금 179
 
5.7%
동 172
 
5.5%
천 162
 
5.2%
산 156
 
5.0%
울 149
 
4.7%
서 147
 
4.7%
로 145
 
4.6%
구 144
 
4.6%
별 144
 
4.6%
Other values (132) 1490
47.4%
Common
ValueCountFrequency (%)
882
38.4%
1 336
 
14.6%
, 188
 
8.2%
( 158
 
6.9%
) 158
 
6.9%
2 106
 
4.6%
0 103
 
4.5%
3 79
 
3.4%
9 59
 
2.6%
6 48
 
2.1%
Other values (5) 180
 
7.8%
Latin
ValueCountFrequency (%)
B 9
36.0%
A 4
16.0%
I 3
 
12.0%
S 2
 
8.0%
T 2
 
8.0%
D 1
 
4.0%
P 1
 
4.0%
O 1
 
4.0%
L 1
 
4.0%
G 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3142
57.5%
ASCII 2322
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
882
38.0%
1 336
 
14.5%
, 188
 
8.1%
( 158
 
6.8%
) 158
 
6.8%
2 106
 
4.6%
0 103
 
4.4%
3 79
 
3.4%
9 59
 
2.5%
6 48
 
2.1%
Other values (15) 205
 
8.8%
Hangul
ValueCountFrequency (%)
시 254
 
8.1%
금 179
 
5.7%
동 172
 
5.5%
천 162
 
5.2%
산 156
 
5.0%
울 149
 
4.7%
서 147
 
4.7%
로 145
 
4.6%
구 144
 
4.6%
별 144
 
4.6%
Other values (132) 1490
47.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)50.0%
Missing259
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean8583.6319
Minimum8502
Maximum8657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T00:36:25.245703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8502
5-th percentile8504.3
Q18537
median8592.5
Q38624
95-th percentile8650.7
Maximum8657
Range155
Interquartile range (IQR)87

Descriptive statistics

Standard deviation49.299534
Coefficient of variation (CV)0.0057434352
Kurtosis-1.2629839
Mean8583.6319
Median Absolute Deviation (MAD)39
Skewness-0.28969037
Sum1236043
Variance2430.444
MonotonicityNot monotonic
2024-05-11T00:36:25.732699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8608 10
 
2.5%
8644 6
 
1.5%
8584 6
 
1.5%
8510 5
 
1.2%
8632 4
 
1.0%
8622 4
 
1.0%
8568 3
 
0.7%
8624 3
 
0.7%
8523 3
 
0.7%
8618 3
 
0.7%
Other values (62) 97
 
24.1%
(Missing) 259
64.3%
ValueCountFrequency (%)
8502 3
0.7%
8503 3
0.7%
8504 2
 
0.5%
8506 1
 
0.2%
8507 1
 
0.2%
8510 5
1.2%
8511 2
 
0.5%
8512 2
 
0.5%
8513 1
 
0.2%
8514 2
 
0.5%
ValueCountFrequency (%)
8657 1
 
0.2%
8656 2
 
0.5%
8655 1
 
0.2%
8654 1
 
0.2%
8652 2
 
0.5%
8651 1
 
0.2%
8649 3
0.7%
8646 1
 
0.2%
8645 2
 
0.5%
8644 6
1.5%

사업장명
Text

Distinct352
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T00:36:26.319046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length6.7096774
Min length2

Characters and Unicode

Total characters2704
Distinct characters385
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique323 ?
Unique (%)80.1%

Sample

1st row김정식베이커리
2nd row몽블랑
3rd row비가로베이커리
4th row과자점독일
5th row부산뉴욕제과
ValueCountFrequency (%)
파리바게뜨 17
 
3.5%
파리바게트 9
 
1.8%
뚜레쥬르 7
 
1.4%
금천점 6
 
1.2%
빵이가득한집 5
 
1.0%
시흥점 4
 
0.8%
베이커리 4
 
0.8%
독일제과 4
 
0.8%
크라운베이커리 4
 
0.8%
영국빵집 4
 
0.8%
Other values (387) 427
87.0%
2024-05-11T00:36:27.393454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 135
 
5.0%
이 107
 
4.0%
점 93
 
3.4%
88
 
3.3%
베 79
 
2.9%
커 76
 
2.8%
빵 76
 
2.8%
과 76
 
2.8%
제 58
 
2.1%
스 49
 
1.8%
Other values (375) 1867
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2445
90.4%
Space Separator 88
 
3.3%
Uppercase Letter 41
 
1.5%
Lowercase Letter 35
 
1.3%
Open Punctuation 34
 
1.3%
Close Punctuation 33
 
1.2%
Decimal Number 20
 
0.7%
Other Punctuation 7
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 135
 
5.5%
이 107
 
4.4%
점 93
 
3.8%
베 79
 
3.2%
커 76
 
3.1%
빵 76
 
3.1%
과 76
 
3.1%
제 58
 
2.4%
스 49
 
2.0%
바 45
 
1.8%
Other values (324) 1651
67.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
14.3%
a 4
11.4%
r 3
 
8.6%
k 3
 
8.6%
o 3
 
8.6%
l 2
 
5.7%
i 2
 
5.7%
n 2
 
5.7%
y 2
 
5.7%
s 1
 
2.9%
Other values (8) 8
22.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
14.6%
C 5
12.2%
E 4
9.8%
A 4
9.8%
P 3
 
7.3%
H 2
 
4.9%
Y 2
 
4.9%
R 2
 
4.9%
K 2
 
4.9%
M 2
 
4.9%
Other values (6) 9
22.0%
Decimal Number
ValueCountFrequency (%)
0 4
20.0%
4 3
15.0%
2 3
15.0%
5 2
10.0%
6 2
10.0%
3 2
10.0%
1 2
10.0%
9 1
 
5.0%
8 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
& 3
42.9%
? 2
28.6%
. 1
 
14.3%
# 1
 
14.3%
Space Separator
ValueCountFrequency (%)
88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2443
90.3%
Common 183
 
6.8%
Latin 76
 
2.8%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 135
 
5.5%
이 107
 
4.4%
점 93
 
3.8%
베 79
 
3.2%
커 76
 
3.1%
빵 76
 
3.1%
과 76
 
3.1%
제 58
 
2.4%
스 49
 
2.0%
바 45
 
1.8%
Other values (322) 1649
67.5%
Latin
ValueCountFrequency (%)
B 6
 
7.9%
C 5
 
6.6%
e 5
 
6.6%
E 4
 
5.3%
A 4
 
5.3%
a 4
 
5.3%
r 3
 
3.9%
k 3
 
3.9%
o 3
 
3.9%
P 3
 
3.9%
Other values (24) 36
47.4%
Common
ValueCountFrequency (%)
88
48.1%
( 34
 
18.6%
) 33
 
18.0%
0 4
 
2.2%
& 3
 
1.6%
4 3
 
1.6%
2 3
 
1.6%
5 2
 
1.1%
6 2
 
1.1%
3 2
 
1.1%
Other values (7) 9
 
4.9%
Han
ValueCountFrequency (%)
心 1
50.0%
家 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2443
90.3%
ASCII 259
 
9.6%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 135
 
5.5%
이 107
 
4.4%
점 93
 
3.8%
베 79
 
3.2%
커 76
 
3.1%
빵 76
 
3.1%
과 76
 
3.1%
제 58
 
2.4%
스 49
 
2.0%
바 45
 
1.8%
Other values (322) 1649
67.5%
ASCII
ValueCountFrequency (%)
88
34.0%
( 34
 
13.1%
) 33
 
12.7%
B 6
 
2.3%
C 5
 
1.9%
e 5
 
1.9%
E 4
 
1.5%
A 4
 
1.5%
a 4
 
1.5%
0 4
 
1.5%
Other values (41) 72
27.8%
CJK
ValueCountFrequency (%)
心 1
50.0%
家 1
50.0%

최종수정일자
Date

Distinct271
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1999-04-28 00:00:00
Maximum2024-05-02 15:39:50
2024-05-11T00:36:27.807397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:36:28.430510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
I
341 
U
62 

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 341
84.6%
U 62
 
15.4%

Length

2024-05-11T00:36:28.958228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:29.356532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 341
84.6%
u 62
 
15.4%

데이터갱신일자
Date

Distinct80
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T00:36:29.910388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:36:30.572779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
제과점영업
403 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 403
100.0%

Length

2024-05-11T00:36:31.039364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:31.359907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 403
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct270
Distinct (%)72.6%
Missing31
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean191090.55
Minimum189055.14
Maximum192754.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T00:36:31.769879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189055.14
5-th percentile189708.04
Q1190783.91
median191203.76
Q3191445.24
95-th percentile191918.15
Maximum192754.35
Range3699.2079
Interquartile range (IQR)661.33038

Descriptive statistics

Standard deviation651.45181
Coefficient of variation (CV)0.0034091264
Kurtosis0.6694549
Mean191090.55
Median Absolute Deviation (MAD)323.28722
Skewness-0.73522435
Sum71085683
Variance424389.47
MonotonicityNot monotonic
2024-05-11T00:36:32.580189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190704.904312713 15
 
3.7%
191152.432649234 7
 
1.7%
191389.027715691 5
 
1.2%
191823.026849977 4
 
1.0%
190809.507840375 4
 
1.0%
189514.72996753 4
 
1.0%
191743.957389311 3
 
0.7%
191917.450107657 3
 
0.7%
189452.382474246 3
 
0.7%
191336.707921118 3
 
0.7%
Other values (260) 321
79.7%
(Missing) 31
 
7.7%
ValueCountFrequency (%)
189055.138252216 1
 
0.2%
189141.907556686 1
 
0.2%
189350.592434703 2
0.5%
189378.332493727 1
 
0.2%
189452.382474246 3
0.7%
189467.124186925 1
 
0.2%
189496.506240456 2
0.5%
189514.72996753 4
1.0%
189538.020935968 1
 
0.2%
189616.142056546 1
 
0.2%
ValueCountFrequency (%)
192754.34619252 1
0.2%
192742.326147617 2
0.5%
192369.145083185 1
0.2%
192297.91598261 2
0.5%
192222.412142273 2
0.5%
192193.026208196 1
0.2%
192160.494815615 1
0.2%
192110.050795719 1
0.2%
192097.34698982 1
0.2%
192047.252504926 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct270
Distinct (%)72.6%
Missing31
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean440118.23
Minimum436911.77
Maximum442253.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T00:36:33.335448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436911.77
5-th percentile438437.42
Q1439043.53
median440060.28
Q3441163.6
95-th percentile441971.64
Maximum442253.57
Range5341.7928
Interquartile range (IQR)2120.0734

Descriptive statistics

Standard deviation1241.5207
Coefficient of variation (CV)0.00282088
Kurtosis-1.006466
Mean440118.23
Median Absolute Deviation (MAD)1075.5416
Skewness-0.010625621
Sum1.6372398 × 108
Variance1541373.6
MonotonicityNot monotonic
2024-05-11T00:36:34.512338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
440940.384414334 15
 
3.7%
438865.160717275 7
 
1.7%
441916.081648538 5
 
1.2%
438834.378061101 4
 
1.0%
440728.382273075 4
 
1.0%
442253.567254569 4
 
1.0%
441914.554963594 3
 
0.7%
438699.77460936 3
 
0.7%
442205.867457803 3
 
0.7%
440303.141195802 3
 
0.7%
Other values (260) 321
79.7%
(Missing) 31
 
7.7%
ValueCountFrequency (%)
436911.774494656 2
0.5%
436946.358720615 1
0.2%
437562.242368734 1
0.2%
437601.753603288 1
0.2%
437602.625094324 2
0.5%
437779.96705305 1
0.2%
437792.191668541 1
0.2%
437816.239800826 1
0.2%
438266.70898504 2
0.5%
438307.423372216 1
0.2%
ValueCountFrequency (%)
442253.567254569 4
1.0%
442245.130584675 2
0.5%
442205.867457803 3
0.7%
442201.740263751 1
 
0.2%
442143.206055455 2
0.5%
442139.514492212 2
0.5%
442066.99866487 1
 
0.2%
442055.183452739 2
0.5%
441982.427934953 1
 
0.2%
441976.745133837 1
 
0.2%

위생업태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
제과점영업
357 
<NA>
46 

Length

Max length5
Median length5
Mean length4.8858561
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 357
88.6%
<NA> 46
 
11.4%

Length

2024-05-11T00:36:35.193721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:35.902891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 357
88.6%
na 46
 
11.4%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.4%
Missing150
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean0.63636364
Minimum0
Maximum10
Zeros135
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T00:36:36.214548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.95648467
Coefficient of variation (CV)1.5030473
Kurtosis36.01841
Mean0.63636364
Median Absolute Deviation (MAD)0
Skewness4.2952388
Sum161
Variance0.91486291
MonotonicityNot monotonic
2024-05-11T00:36:36.737635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 135
33.5%
1 89
22.1%
2 23
 
5.7%
3 4
 
1.0%
10 1
 
0.2%
4 1
 
0.2%
(Missing) 150
37.2%
ValueCountFrequency (%)
0 135
33.5%
1 89
22.1%
2 23
 
5.7%
3 4
 
1.0%
4 1
 
0.2%
10 1
 
0.2%
ValueCountFrequency (%)
10 1
 
0.2%
4 1
 
0.2%
3 4
 
1.0%
2 23
 
5.7%
1 89
22.1%
0 135
33.5%

여성종사자수
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
150 
0
132 
1
95 
2
21 
3
 
5

Length

Max length4
Median length1
Mean length2.1166253
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 150
37.2%
0 132
32.8%
1 95
23.6%
2 21
 
5.2%
3 5
 
1.2%

Length

2024-05-11T00:36:37.224727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:37.812685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
37.2%
0 132
32.8%
1 95
23.6%
2 21
 
5.2%
3 5
 
1.2%

영업장주변구분명
Categorical

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
184 
기타
122 
주택가주변
81 
아파트지역
 
9
유흥업소밀집지역
 
6

Length

Max length8
Median length7
Mean length3.6848635
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 184
45.7%
기타 122
30.3%
주택가주변 81
20.1%
아파트지역 9
 
2.2%
유흥업소밀집지역 6
 
1.5%
결혼예식장주변 1
 
0.2%

Length

2024-05-11T00:36:38.336311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:38.763501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
45.7%
기타 122
30.3%
주택가주변 81
20.1%
아파트지역 9
 
2.2%
유흥업소밀집지역 6
 
1.5%
결혼예식장주변 1
 
0.2%

등급구분명
Categorical

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
185 
을
96 
지도
58 
기타
36 
자율
 
14
Other values (2)
 
14

Length

Max length4
Median length2
Mean length2.6575682
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 185
45.9%
을 96
23.8%
지도 58
 
14.4%
기타 36
 
8.9%
자율 14
 
3.5%
갑 9
 
2.2%
우수 5
 
1.2%

Length

2024-05-11T00:36:39.259782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:39.702553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 185
45.9%
을 96
23.8%
지도 58
 
14.4%
기타 36
 
8.9%
자율 14
 
3.5%
갑 9
 
2.2%
우수 5
 
1.2%

급수시설구분명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
상수도전용
281 
<NA>
121 
지하수전용
 
1

Length

Max length5
Median length5
Mean length4.6997519
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 281
69.7%
<NA> 121
30.0%
지하수전용 1
 
0.2%

Length

2024-05-11T00:36:40.278947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:40.757843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 281
69.7%
na 121
30.0%
지하수전용 1
 
0.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
393 
0
 
10

Length

Max length4
Median length4
Mean length3.9255583
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> 393
97.5%
0 10
 
2.5%

Length

2024-05-11T00:36:41.319622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:41.667670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 393
97.5%
0 10
 
2.5%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
393 
0
 
10

Length

Max length4
Median length4
Mean length3.9255583
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> 393
97.5%
0 10
 
2.5%

Length

2024-05-11T00:36:42.054572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:42.463622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 393
97.5%
0 10
 
2.5%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
393 
0
 
10

Length

Max length4
Median length4
Mean length3.9255583
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> 393
97.5%
0 10
 
2.5%

Length

2024-05-11T00:36:42.823763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:43.134096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 393
97.5%
0 10
 
2.5%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
393 
0
 
10

Length

Max length4
Median length4
Mean length3.9255583
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> 393
97.5%
0 10
 
2.5%

Length

2024-05-11T00:36:43.549580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:43.931751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 393
97.5%
0 10
 
2.5%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
393 
0
 
10

Length

Max length4
Median length4
Mean length3.9255583
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> 393
97.5%
0 10
 
2.5%

Length

2024-05-11T00:36:44.350897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:44.697091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 393
97.5%
0 10
 
2.5%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing403
Missing (%)100.0%
Memory size3.7 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
393 
0
 
10

Length

Max length4
Median length4
Mean length3.9255583
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> 393
97.5%
0 10
 
2.5%

Length

2024-05-11T00:36:45.180978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:45.586315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 393
97.5%
0 10
 
2.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
393 
0
 
10

Length

Max length4
Median length4
Mean length3.9255583
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> 393
97.5%
0 10
 
2.5%

Length

2024-05-11T00:36:46.004165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:46.436399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 393
97.5%
0 10
 
2.5%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing46
Missing (%)11.4%
Memory size938.0 B
False
357 
(Missing)
46 
ValueCountFrequency (%)
False 357
88.6%
(Missing) 46
 
11.4%
2024-05-11T00:36:46.802949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct330
Distinct (%)92.4%
Missing46
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean36.848011
Minimum0
Maximum221
Zeros8
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T00:36:47.184894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.046
Q121.5
median29.75
Q344.44
95-th percentile85.15
Maximum221
Range221
Interquartile range (IQR)22.94

Descriptive statistics

Standard deviation27.227274
Coefficient of variation (CV)0.73890756
Kurtosis10.493673
Mean36.848011
Median Absolute Deviation (MAD)10.2
Skewness2.5565593
Sum13154.74
Variance741.32445
MonotonicityNot monotonic
2024-05-11T00:36:47.912131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
2.0%
23.1 4
 
1.0%
15.6 3
 
0.7%
27.2 3
 
0.7%
23.68 2
 
0.5%
46.2 2
 
0.5%
26.7 2
 
0.5%
15.81 2
 
0.5%
25.81 2
 
0.5%
33.0 2
 
0.5%
Other values (320) 327
81.1%
(Missing) 46
 
11.4%
ValueCountFrequency (%)
0.0 8
2.0%
1.0 1
 
0.2%
3.0 1
 
0.2%
3.7 1
 
0.2%
4.28 1
 
0.2%
5.05 1
 
0.2%
5.46 1
 
0.2%
6.48 1
 
0.2%
7.0 1
 
0.2%
7.54 1
 
0.2%
ValueCountFrequency (%)
221.0 1
0.2%
187.5 1
0.2%
164.65 1
0.2%
161.01 1
0.2%
127.1 1
0.2%
120.29 1
0.2%
115.5 1
0.2%
114.16 1
0.2%
111.85 1
0.2%
111.24 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing403
Missing (%)100.0%
Memory size3.7 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing403
Missing (%)100.0%
Memory size3.7 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing403
Missing (%)100.0%
Memory size3.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031700003170000-121-1977-0050419771117<NA>3폐업2폐업19970930<NA><NA><NA>02 853073952.84153823서울특별시 금천구 독산동 968-0번지<NA><NA>김정식베이커리2002-12-27 00:00:00I2018-08-31 23:59:59.0제과점영업<NA><NA>제과점영업11기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N52.84<NA><NA><NA>
131700003170000-121-1977-0060419771206<NA>3폐업2폐업20051229<NA><NA><NA>020855289335.7153805서울특별시 금천구 독산동 61-25번지<NA><NA>몽블랑2002-01-11 00:00:00I2018-08-31 23:59:59.0제과점영업<NA><NA>제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N35.7<NA><NA><NA>
231700003170000-121-1978-0047019780708<NA>3폐업2폐업20001018<NA><NA><NA>0225.43153820서울특별시 금천구 독산동 901-9번지<NA><NA>비가로베이커리2000-10-18 00:00:00I2018-08-31 23:59:59.0제과점영업191941.449525442055.183453제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N25.43<NA><NA><NA>
331700003170000-121-1978-0060619780919<NA>3폐업2폐업20051229<NA><NA><NA>020854526247.09153010서울특별시 금천구 독산동 34-4번지<NA><NA>과자점독일2002-01-11 00:00:00I2018-08-31 23:59:59.0제과점영업<NA><NA>제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N47.09<NA><NA><NA>
431700003170000-121-1978-0060919781230<NA>3폐업2폐업20051229<NA><NA><NA>020000000035.0153817서울특별시 금천구 독산동 404-5번지<NA><NA>부산뉴욕제과2002-01-11 00:00:00I2018-08-31 23:59:59.0제과점영업<NA><NA>제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N35.0<NA><NA><NA>
531700003170000-121-1979-0045719790122<NA>3폐업2폐업20011005<NA><NA><NA>020802424625.86153857서울특별시 금천구 시흥동 856-206번지<NA><NA>몬또아르2002-01-11 00:00:00I2018-08-31 23:59:59.0제과점영업<NA><NA>제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N25.86<NA><NA><NA>
631700003170000-121-1979-0050519790529<NA>3폐업2폐업20050506<NA><NA><NA>020804564231.82153829서울특별시 금천구 독산동 1009-35번지<NA><NA>샤르망과자점2002-01-11 00:00:00I2018-08-31 23:59:59.0제과점영업190833.116686440255.212701제과점영업00기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N31.82<NA><NA><NA>
731700003170000-121-1979-0050619790629<NA>3폐업2폐업20001018<NA><NA><NA>0233.67153820서울특별시 금천구 독산동 901-9번지<NA><NA>비가로파티스리2000-10-18 00:00:00I2018-08-31 23:59:59.0제과점영업191941.449525442055.183453제과점영업11기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N33.67<NA><NA><NA>
831700003170000-121-1979-0058519790519<NA>3폐업2폐업20051229<NA><NA><NA>020000000032.9153846서울특별시 금천구 시흥동 330-1번지<NA><NA>맘모스2002-01-11 00:00:00I2018-08-31 23:59:59.0제과점영업<NA><NA>제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N32.9<NA><NA><NA>
931700003170000-121-1979-0061119790221<NA>3폐업2폐업20051229<NA><NA><NA>020000000025.83153010서울특별시 금천구 독산동 34-0번지<NA><NA>고려빵집2002-01-11 00:00:00I2018-08-31 23:59:59.0제과점영업<NA><NA>제과점영업11기타지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N25.83<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
39331700003170000-121-2022-0000520221125<NA>1영업/정상1영업<NA><NA><NA><NA><NA>12.06153859서울특별시 금천구 시흥동 909-24 1층서울특별시 금천구 은행나무로 51, 1층 (시흥동)8642거북이 빵집2022-11-25 15:23:41I2021-10-31 22:07:00.0제과점영업191793.54991438781.498512<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39431700003170000-121-2023-000012023-03-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>60.66153-859서울특별시 금천구 시흥동 911-3서울특별시 금천구 금하로 714, 지하1층, 지상1층 101-1호 (시흥동)8644은행나무 빵집2023-03-22 15:31:02I2022-12-02 22:04:00.0제과점영업191875.048211438743.141399<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39531700003170000-121-2023-000022023-05-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.0153-801서울특별시 금천구 가산동 219-25서울특별시 금천구 디지털로10길 55, S001동 지상1층 101호 (가산동)8516하우테이스티(How Tasty)2023-05-11 11:50:55I2022-12-04 23:03:00.0제과점영업190214.563088441530.684125<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39631700003170000-121-2023-000032023-07-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.0153-820서울특별시 금천구 독산동 900-16서울특별시 금천구 독산로108길 63, 지상1층 일부호 (독산동)8548건강빵2023-07-11 13:48:51I2022-12-06 23:03:00.0제과점영업191753.4618441976.745134<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39731700003170000-121-2023-000042023-08-21<NA>1영업/정상1영업<NA><NA><NA><NA>02 8394559118.43153-801서울특별시 금천구 가산동 233-5 가산 센트럴 푸르지오 시티서울특별시 금천구 디지털로10길 69, 가산 센트럴 푸르지오 시티 G동 지상1층 101호 (가산동)8516뚜레쥬르 가산센트럴점2023-08-21 11:06:20I2022-12-07 22:03:00.0제과점영업190278.679729441481.431442<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39831700003170000-121-2023-000052023-09-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>76.18153-803서울특별시 금천구 가산동 371-106 가산 더블유센터서울특별시 금천구 가산디지털1로 181, 가산 더블유센터 1층 114호 (가산동)8503파리바게뜨 가산디지털역점2023-09-12 14:31:54I2022-12-08 23:04:00.0제과점영업189350.592435442143.206055<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39931700003170000-121-2023-000062023-10-26<NA>1영업/정상1영업<NA><NA><NA><NA>02 6014772327.0153-829서울특별시 금천구 독산동 1006-23서울특별시 금천구 범안로 1188, 지상1층 일부호 (독산동)8602굿모닝베이크2023-10-26 13:07:35I2022-10-30 22:08:00.0제과점영업190531.485578440474.519018<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40031700003170000-121-2024-000012024-02-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>34.0153-803서울특별시 금천구 가산동 468-4 가산디지털단지역서울특별시 금천구 벚꽃로 309, 가산디지털단지역 지하 1층 746-101호 (가산동)8510핫브레드 가산디지털단지역점2024-02-13 11:47:36I2023-12-01 23:05:00.0제과점영업189514.729968442253.567255<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40131700003170000-121-2024-000022024-03-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>43.89153-010서울특별시 금천구 독산동 1150 금천 롯데캐슬 골드파크 2차서울특별시 금천구 벚꽃로 30, 1층 103호 (독산동, 금천 롯데캐슬 골드파크 2차)8608브레드 포레스트2024-03-29 15:23:26I2023-12-02 21:01:00.0제과점영업190567.418316439569.401459<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40231700003170000-121-2024-000032024-05-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.98153-813서울특별시 금천구 독산동 291-7 홈플러스 금천점서울특별시 금천구 시흥대로 391, 홈플러스 금천점 2층 (독산동)8584몽블랑제(주) 금천점 판매코너2024-05-02 15:39:50I2023-12-05 00:04:00.0제과점영업190809.50784440728.382273<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>