Overview

Dataset statistics

Number of variables47
Number of observations608
Missing cells6077
Missing cells (%)21.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory240.6 KiB
Average record size in memory405.2 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric7
Boolean2

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,건물지상층수,건물지하층수,사용시작지상층,사용끝지상층,사용시작지하층,사용끝지하층,한실수,양실수,욕실수,발한실여부,좌석수,조건부허가신고사유,조건부허가시작일자,조건부허가종료일자,건물소유구분명,세탁기수,여성종사자수,남성종사자수,회수건조수,침대수,다중이용업소여부
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17967/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (78.0%)Imbalance
위생업태명 is highly imbalanced (61.9%)Imbalance
여성종사자수 is highly imbalanced (70.6%)Imbalance
남성종사자수 is highly imbalanced (70.0%)Imbalance
인허가취소일자 has 608 (100.0%) missing valuesMissing
폐업일자 has 187 (30.8%) missing valuesMissing
휴업시작일자 has 608 (100.0%) missing valuesMissing
휴업종료일자 has 608 (100.0%) missing valuesMissing
재개업일자 has 608 (100.0%) missing valuesMissing
전화번호 has 60 (9.9%) missing valuesMissing
도로명주소 has 214 (35.2%) missing valuesMissing
도로명우편번호 has 218 (35.9%) missing valuesMissing
좌표정보(X) has 22 (3.6%) missing valuesMissing
좌표정보(Y) has 22 (3.6%) missing valuesMissing
건물지상층수 has 271 (44.6%) missing valuesMissing
사용끝지상층 has 366 (60.2%) missing valuesMissing
발한실여부 has 67 (11.0%) missing valuesMissing
조건부허가신고사유 has 608 (100.0%) missing valuesMissing
조건부허가시작일자 has 608 (100.0%) missing valuesMissing
조건부허가종료일자 has 608 (100.0%) missing valuesMissing
세탁기수 has 328 (53.9%) missing valuesMissing
다중이용업소여부 has 65 (10.7%) 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
조건부허가신고사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 105 (17.3%) zerosZeros
건물지상층수 has 220 (36.2%) zerosZeros
사용끝지상층 has 178 (29.3%) zerosZeros
세탁기수 has 162 (26.6%) zerosZeros

Reproduction

Analysis started2024-04-29 19:31:41.230159
Analysis finished2024-04-29 19:31:42.207837
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
3150000
608 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 608
100.0%

Length

2024-04-30T04:31:42.274941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:42.365727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 608
100.0%

관리번호
Text

UNIQUE 

Distinct608
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-30T04:31:42.516975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters13376
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

Unique608 ?
Unique (%)100.0%

Sample

1st row3150000-205-1987-01683
2nd row3150000-205-1987-01684
3rd row3150000-205-1987-01685
4th row3150000-205-1987-01687
5th row3150000-205-1987-01688
ValueCountFrequency (%)
3150000-205-1987-01683 1
 
0.2%
3150000-205-2004-00019 1
 
0.2%
3150000-205-2005-00008 1
 
0.2%
3150000-205-2004-00013 1
 
0.2%
3150000-205-2004-00014 1
 
0.2%
3150000-205-2004-00015 1
 
0.2%
3150000-205-2004-00016 1
 
0.2%
3150000-205-2004-00017 1
 
0.2%
3150000-205-2004-00018 1
 
0.2%
3150000-205-2005-00001 1
 
0.2%
Other values (598) 598
98.4%
2024-04-30T04:31:42.781058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5542
41.4%
- 1824
 
13.6%
1 1384
 
10.3%
5 1348
 
10.1%
2 1109
 
8.3%
3 758
 
5.7%
9 693
 
5.2%
8 212
 
1.6%
7 193
 
1.4%
6 183
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11552
86.4%
Dash Punctuation 1824
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5542
48.0%
1 1384
 
12.0%
5 1348
 
11.7%
2 1109
 
9.6%
3 758
 
6.6%
9 693
 
6.0%
8 212
 
1.8%
7 193
 
1.7%
6 183
 
1.6%
4 130
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 1824
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13376
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5542
41.4%
- 1824
 
13.6%
1 1384
 
10.3%
5 1348
 
10.1%
2 1109
 
8.3%
3 758
 
5.7%
9 693
 
5.2%
8 212
 
1.6%
7 193
 
1.4%
6 183
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5542
41.4%
- 1824
 
13.6%
1 1384
 
10.3%
5 1348
 
10.1%
2 1109
 
8.3%
3 758
 
5.7%
9 693
 
5.2%
8 212
 
1.6%
7 193
 
1.4%
6 183
 
1.4%

인허가일자
Date

Distinct528
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum1987-06-26 00:00:00
Maximum2023-12-19 00:00:00
2024-04-30T04:31:42.903535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:31:43.032249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
3
421 
1
187 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 421
69.2%
1 187
30.8%

Length

2024-04-30T04:31:43.145593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:43.233608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 421
69.2%
1 187
30.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
폐업
421 
영업/정상
187 

Length

Max length5
Median length2
Mean length2.9226974
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 421
69.2%
영업/정상 187
30.8%

Length

2024-04-30T04:31:43.314414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:43.394464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 421
69.2%
영업/정상 187
30.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2
421 
1
187 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 421
69.2%
1 187
30.8%

Length

2024-04-30T04:31:43.491766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:43.575579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 421
69.2%
1 187
30.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
폐업
421 
영업
187 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 421
69.2%
영업 187
30.8%

Length

2024-04-30T04:31:43.671921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:43.763634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 421
69.2%
영업 187
30.8%

폐업일자
Date

MISSING 

Distinct357
Distinct (%)84.8%
Missing187
Missing (%)30.8%
Memory size4.9 KiB
Minimum2000-07-12 00:00:00
Maximum2024-04-15 00:00:00
2024-04-30T04:31:43.848551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:31:43.985344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

전화번호
Text

MISSING 

Distinct501
Distinct (%)91.4%
Missing60
Missing (%)9.9%
Memory size4.9 KiB
2024-04-30T04:31:44.176701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.093066
Min length8

Characters and Unicode

Total characters5531
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

Unique459 ?
Unique (%)83.8%

Sample

1st row0206968417
2nd row0226033480
3rd row0206912844
4th row0226639769
5th row0226626637
ValueCountFrequency (%)
02 86
 
13.5%
0236610285 4
 
0.6%
0236644285 3
 
0.5%
0226946886 3
 
0.5%
0226910397 3
 
0.5%
0226988821 2
 
0.3%
0226630706 2
 
0.3%
0226428843 2
 
0.3%
0226903009 2
 
0.3%
0226681766 2
 
0.3%
Other values (494) 527
82.9%
2024-04-30T04:31:44.495901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1219
22.0%
6 1031
18.6%
0 907
16.4%
3 421
 
7.6%
9 388
 
7.0%
4 311
 
5.6%
8 305
 
5.5%
5 305
 
5.5%
1 279
 
5.0%
7 252
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5418
98.0%
Space Separator 113
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1219
22.5%
6 1031
19.0%
0 907
16.7%
3 421
 
7.8%
9 388
 
7.2%
4 311
 
5.7%
8 305
 
5.6%
5 305
 
5.6%
1 279
 
5.1%
7 252
 
4.7%
Space Separator
ValueCountFrequency (%)
113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5531
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1219
22.0%
6 1031
18.6%
0 907
16.4%
3 421
 
7.6%
9 388
 
7.0%
4 311
 
5.6%
8 305
 
5.5%
5 305
 
5.5%
1 279
 
5.0%
7 252
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1219
22.0%
6 1031
18.6%
0 907
16.4%
3 421
 
7.6%
9 388
 
7.0%
4 311
 
5.6%
8 305
 
5.5%
5 305
 
5.5%
1 279
 
5.0%
7 252
 
4.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct184
Distinct (%)30.3%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean31.962422
Minimum0
Maximum1028.52
Zeros105
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-30T04:31:44.629468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median29
Q335.985
95-th percentile68.8
Maximum1028.52
Range1028.52
Interquartile range (IQR)14.985

Descriptive statistics

Standard deviation48.708402
Coefficient of variation (CV)1.5239272
Kurtosis290.88618
Mean31.962422
Median Absolute Deviation (MAD)7.3
Skewness14.692265
Sum19401.19
Variance2372.5085
MonotonicityNot monotonic
2024-04-30T04:31:44.746444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 105
 
17.3%
33.0 45
 
7.4%
30.0 45
 
7.4%
26.4 28
 
4.6%
29.7 25
 
4.1%
24.0 20
 
3.3%
23.1 16
 
2.6%
28.0 12
 
2.0%
36.0 12
 
2.0%
39.6 11
 
1.8%
Other values (174) 288
47.4%
ValueCountFrequency (%)
0.0 105
17.3%
3.3 1
 
0.2%
8.29 1
 
0.2%
9.0 1
 
0.2%
9.27 1
 
0.2%
9.9 2
 
0.3%
10.62 1
 
0.2%
13.2 2
 
0.3%
13.9 1
 
0.2%
15.0 2
 
0.3%
ValueCountFrequency (%)
1028.52 1
0.2%
265.0 1
0.2%
192.0 1
0.2%
188.07 1
0.2%
165.65 1
0.2%
162.52 1
0.2%
162.5 1
0.2%
158.0 1
0.2%
149.2 1
0.2%
142.83 1
0.2%

소재지우편번호
Text

Distinct123
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-30T04:31:45.014135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0296053
Min length6

Characters and Unicode

Total characters3666
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

Unique33 ?
Unique (%)5.4%

Sample

1st row157883
2nd row157925
3rd row157882
4th row157850
5th row157-850
ValueCountFrequency (%)
157280 25
 
4.1%
157840 23
 
3.8%
157846 16
 
2.6%
157210 16
 
2.6%
157884 16
 
2.6%
157836 16
 
2.6%
157867 14
 
2.3%
157853 13
 
2.1%
157910 12
 
2.0%
157930 12
 
2.0%
Other values (113) 445
73.2%
2024-04-30T04:31:45.410804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 776
21.2%
7 707
19.3%
5 695
19.0%
8 532
14.5%
0 234
 
6.4%
9 201
 
5.5%
2 165
 
4.5%
6 139
 
3.8%
4 105
 
2.9%
3 94
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3648
99.5%
Dash Punctuation 18
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 776
21.3%
7 707
19.4%
5 695
19.1%
8 532
14.6%
0 234
 
6.4%
9 201
 
5.5%
2 165
 
4.5%
6 139
 
3.8%
4 105
 
2.9%
3 94
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3666
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 776
21.2%
7 707
19.3%
5 695
19.0%
8 532
14.5%
0 234
 
6.4%
9 201
 
5.5%
2 165
 
4.5%
6 139
 
3.8%
4 105
 
2.9%
3 94
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3666
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 776
21.2%
7 707
19.3%
5 695
19.0%
8 532
14.5%
0 234
 
6.4%
9 201
 
5.5%
2 165
 
4.5%
6 139
 
3.8%
4 105
 
2.9%
3 94
 
2.6%

지번주소
Text

Distinct583
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-30T04:31:45.652786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length26.185855
Min length17

Characters and Unicode

Total characters15921
Distinct characters192
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique559 ?
Unique (%)91.9%

Sample

1st row서울특별시 강서구 화곡동 360-17번지
2nd row서울특별시 강서구 화곡동 1071-27번지
3rd row서울특별시 강서구 화곡동 354-78번지
4th row서울특별시 강서구 방화동 559-6번지
5th row서울특별시 강서구 방화동 849 벽산근린상가 1층 C20호
ValueCountFrequency (%)
서울특별시 608
20.8%
강서구 608
20.8%
화곡동 255
 
8.7%
방화동 99
 
3.4%
등촌동 71
 
2.4%
1층 59
 
2.0%
가양동 43
 
1.5%
내발산동 42
 
1.4%
염창동 39
 
1.3%
공항동 37
 
1.3%
Other values (790) 1064
36.4%
2024-04-30T04:31:46.007647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2818
17.7%
서 1220
 
7.7%
1 732
 
4.6%
동 650
 
4.1%
시 619
 
3.9%
강 614
 
3.9%
구 610
 
3.8%
특 608
 
3.8%
별 608
 
3.8%
울 608
 
3.8%
Other values (182) 6834
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9191
57.7%
Decimal Number 3334
 
20.9%
Space Separator 2818
 
17.7%
Dash Punctuation 497
 
3.1%
Open Punctuation 24
 
0.2%
Close Punctuation 24
 
0.2%
Uppercase Letter 18
 
0.1%
Other Punctuation 8
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1220
13.3%
동 650
 
7.1%
시 619
 
6.7%
강 614
 
6.7%
구 610
 
6.6%
특 608
 
6.6%
별 608
 
6.6%
울 608
 
6.6%
지 563
 
6.1%
번 474
 
5.2%
Other values (154) 2617
28.5%
Decimal Number
ValueCountFrequency (%)
1 732
22.0%
2 410
12.3%
0 361
10.8%
3 317
9.5%
6 286
 
8.6%
4 277
 
8.3%
5 276
 
8.3%
8 234
 
7.0%
7 231
 
6.9%
9 210
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 10
55.6%
A 5
27.8%
C 1
 
5.6%
P 1
 
5.6%
I 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
k 1
20.0%
a 1
20.0%
b 1
20.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
@ 3
37.5%
/ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
2818
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 497
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9191
57.7%
Common 6707
42.1%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1220
13.3%
동 650
 
7.1%
시 619
 
6.7%
강 614
 
6.7%
구 610
 
6.6%
특 608
 
6.6%
별 608
 
6.6%
울 608
 
6.6%
지 563
 
6.1%
번 474
 
5.2%
Other values (154) 2617
28.5%
Common
ValueCountFrequency (%)
2818
42.0%
1 732
 
10.9%
- 497
 
7.4%
2 410
 
6.1%
0 361
 
5.4%
3 317
 
4.7%
6 286
 
4.3%
4 277
 
4.1%
5 276
 
4.1%
8 234
 
3.5%
Other values (8) 499
 
7.4%
Latin
ValueCountFrequency (%)
B 10
43.5%
A 5
21.7%
C 1
 
4.3%
r 1
 
4.3%
k 1
 
4.3%
a 1
 
4.3%
P 1
 
4.3%
I 1
 
4.3%
b 1
 
4.3%
c 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9191
57.7%
ASCII 6730
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2818
41.9%
1 732
 
10.9%
- 497
 
7.4%
2 410
 
6.1%
0 361
 
5.4%
3 317
 
4.7%
6 286
 
4.2%
4 277
 
4.1%
5 276
 
4.1%
8 234
 
3.5%
Other values (18) 522
 
7.8%
Hangul
ValueCountFrequency (%)
서 1220
13.3%
동 650
 
7.1%
시 619
 
6.7%
강 614
 
6.7%
구 610
 
6.6%
특 608
 
6.6%
별 608
 
6.6%
울 608
 
6.6%
지 563
 
6.1%
번 474
 
5.2%
Other values (154) 2617
28.5%

도로명주소
Text

MISSING 

Distinct388
Distinct (%)98.5%
Missing214
Missing (%)35.2%
Memory size4.9 KiB
2024-04-30T04:31:46.247232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length31.441624
Min length22

Characters and Unicode

Total characters12388
Distinct characters190
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique383 ?
Unique (%)97.2%

Sample

1st row서울특별시 강서구 양천로14가길 2 (방화동)
2nd row서울특별시 강서구 양천로 28 (방화동,벽산근린상가 1층 C20호)
3rd row서울특별시 강서구 곰달래로25길 77 (화곡동)
4th row서울특별시 강서구 곰달래로26길 16 (화곡동)
5th row서울특별시 강서구 강서로45라길 36 (내발산동)
ValueCountFrequency (%)
서울특별시 394
 
17.0%
강서구 394
 
17.0%
화곡동 150
 
6.5%
1층 72
 
3.1%
방화동 41
 
1.8%
등촌동 29
 
1.3%
내발산동 26
 
1.1%
공항동 22
 
0.9%
마곡동 19
 
0.8%
2층 15
 
0.6%
Other values (579) 1157
49.9%
2024-04-30T04:31:46.638049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1925
 
15.5%
서 859
 
6.9%
1 516
 
4.2%
강 463
 
3.7%
동 448
 
3.6%
시 404
 
3.3%
( 401
 
3.2%
) 401
 
3.2%
로 398
 
3.2%
울 394
 
3.2%
Other values (180) 6179
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7287
58.8%
Decimal Number 2055
 
16.6%
Space Separator 1925
 
15.5%
Open Punctuation 401
 
3.2%
Close Punctuation 401
 
3.2%
Other Punctuation 255
 
2.1%
Dash Punctuation 42
 
0.3%
Uppercase Letter 17
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 859
 
11.8%
강 463
 
6.4%
동 448
 
6.1%
시 404
 
5.5%
로 398
 
5.5%
울 394
 
5.4%
구 394
 
5.4%
별 394
 
5.4%
특 394
 
5.4%
화 315
 
4.3%
Other values (154) 2824
38.8%
Decimal Number
ValueCountFrequency (%)
1 516
25.1%
2 268
13.0%
3 222
10.8%
0 215
10.5%
4 176
 
8.6%
5 174
 
8.5%
7 156
 
7.6%
6 134
 
6.5%
8 119
 
5.8%
9 75
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 7
41.2%
A 5
29.4%
P 2
 
11.8%
T 1
 
5.9%
I 1
 
5.9%
C 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
k 1
33.3%
r 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 254
99.6%
@ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1925
100.0%
Open Punctuation
ValueCountFrequency (%)
( 401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 401
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7287
58.8%
Common 5081
41.0%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 859
 
11.8%
강 463
 
6.4%
동 448
 
6.1%
시 404
 
5.5%
로 398
 
5.5%
울 394
 
5.4%
구 394
 
5.4%
별 394
 
5.4%
특 394
 
5.4%
화 315
 
4.3%
Other values (154) 2824
38.8%
Common
ValueCountFrequency (%)
1925
37.9%
1 516
 
10.2%
( 401
 
7.9%
) 401
 
7.9%
2 268
 
5.3%
, 254
 
5.0%
3 222
 
4.4%
0 215
 
4.2%
4 176
 
3.5%
5 174
 
3.4%
Other values (7) 529
 
10.4%
Latin
ValueCountFrequency (%)
B 7
35.0%
A 5
25.0%
P 2
 
10.0%
a 1
 
5.0%
T 1
 
5.0%
k 1
 
5.0%
I 1
 
5.0%
C 1
 
5.0%
r 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7287
58.8%
ASCII 5101
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1925
37.7%
1 516
 
10.1%
( 401
 
7.9%
) 401
 
7.9%
2 268
 
5.3%
, 254
 
5.0%
3 222
 
4.4%
0 215
 
4.2%
4 176
 
3.5%
5 174
 
3.4%
Other values (16) 549
 
10.8%
Hangul
ValueCountFrequency (%)
서 859
 
11.8%
강 463
 
6.4%
동 448
 
6.1%
시 404
 
5.5%
로 398
 
5.5%
울 394
 
5.4%
구 394
 
5.4%
별 394
 
5.4%
특 394
 
5.4%
화 315
 
4.3%
Other values (154) 2824
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct190
Distinct (%)48.7%
Missing218
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean7653
Minimum7505
Maximum7801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-30T04:31:46.753734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7519
Q17576.25
median7651
Q37737
95-th percentile7783
Maximum7801
Range296
Interquartile range (IQR)160.75

Descriptive statistics

Standard deviation87.827653
Coefficient of variation (CV)0.011476238
Kurtosis-1.2576574
Mean7653
Median Absolute Deviation (MAD)81
Skewness-0.031578017
Sum2984670
Variance7713.6967
MonotonicityNot monotonic
2024-04-30T04:31:47.050323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7616 7
 
1.2%
7604 6
 
1.0%
7775 6
 
1.0%
7765 6
 
1.0%
7663 6
 
1.0%
7570 5
 
0.8%
7685 5
 
0.8%
7645 5
 
0.8%
7657 5
 
0.8%
7788 5
 
0.8%
Other values (180) 334
54.9%
(Missing) 218
35.9%
ValueCountFrequency (%)
7505 1
 
0.2%
7509 2
0.3%
7510 3
0.5%
7511 1
 
0.2%
7512 1
 
0.2%
7513 1
 
0.2%
7514 1
 
0.2%
7516 4
0.7%
7517 2
0.3%
7518 2
0.3%
ValueCountFrequency (%)
7801 1
 
0.2%
7798 4
0.7%
7792 2
 
0.3%
7791 1
 
0.2%
7788 5
0.8%
7786 1
 
0.2%
7785 2
 
0.3%
7784 2
 
0.3%
7783 3
0.5%
7782 2
 
0.3%

사업장명
Text

Distinct475
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-30T04:31:47.320352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length4.9572368
Min length1

Characters and Unicode

Total characters3014
Distinct characters301
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

Unique395 ?
Unique (%)65.0%

Sample

1st row화곡사
2nd row중앙사
3rd row반도사
4th row방신사
5th row대구사
ValueCountFrequency (%)
세탁소 12
 
1.8%
크린토피아 10
 
1.5%
현대세탁소 9
 
1.3%
백양사 8
 
1.2%
세탁 7
 
1.0%
백조사 6
 
0.9%
명품세탁소 6
 
0.9%
코인워시 6
 
0.9%
명품 5
 
0.7%
빨리셀프크리닝 5
 
0.7%
Other values (484) 608
89.1%
2024-04-30T04:31:47.731284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 290
 
9.6%
탁 283
 
9.4%
사 191
 
6.3%
소 172
 
5.7%
크 74
 
2.5%
74
 
2.5%
리 57
 
1.9%
동 54
 
1.8%
화 54
 
1.8%
대 52
 
1.7%
Other values (291) 1713
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2897
96.1%
Space Separator 74
 
2.5%
Decimal Number 16
 
0.5%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Other Punctuation 6
 
0.2%
Uppercase Letter 4
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 290
 
10.0%
탁 283
 
9.8%
사 191
 
6.6%
소 172
 
5.9%
크 74
 
2.6%
리 57
 
2.0%
동 54
 
1.9%
화 54
 
1.9%
대 52
 
1.8%
린 47
 
1.6%
Other values (273) 1623
56.0%
Decimal Number
ValueCountFrequency (%)
6 5
31.2%
4 3
18.8%
2 3
18.8%
5 2
 
12.5%
8 2
 
12.5%
9 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
O 1
25.0%
K 1
25.0%
P 1
25.0%
I 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
r 1
33.3%
a 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2897
96.1%
Common 110
 
3.6%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 290
 
10.0%
탁 283
 
9.8%
사 191
 
6.6%
소 172
 
5.9%
크 74
 
2.6%
리 57
 
2.0%
동 54
 
1.9%
화 54
 
1.9%
대 52
 
1.8%
린 47
 
1.6%
Other values (273) 1623
56.0%
Common
ValueCountFrequency (%)
74
67.3%
( 7
 
6.4%
) 7
 
6.4%
. 5
 
4.5%
6 5
 
4.5%
4 3
 
2.7%
2 3
 
2.7%
5 2
 
1.8%
8 2
 
1.8%
& 1
 
0.9%
Latin
ValueCountFrequency (%)
O 1
14.3%
K 1
14.3%
k 1
14.3%
r 1
14.3%
a 1
14.3%
P 1
14.3%
I 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2897
96.1%
ASCII 117
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 290
 
10.0%
탁 283
 
9.8%
사 191
 
6.6%
소 172
 
5.9%
크 74
 
2.6%
리 57
 
2.0%
동 54
 
1.9%
화 54
 
1.9%
대 52
 
1.8%
린 47
 
1.6%
Other values (273) 1623
56.0%
ASCII
ValueCountFrequency (%)
74
63.2%
( 7
 
6.0%
) 7
 
6.0%
. 5
 
4.3%
6 5
 
4.3%
4 3
 
2.6%
2 3
 
2.6%
5 2
 
1.7%
8 2
 
1.7%
& 1
 
0.9%
Other values (8) 8
 
6.8%

최종수정일자
Date

Distinct523
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2000-07-12 00:00:00
Maximum2024-04-15 16:05:00
2024-04-30T04:31:47.845048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:31:47.955872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
I
427 
U
181 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 427
70.2%
U 181
29.8%

Length

2024-04-30T04:31:48.071082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:48.161174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 427
70.2%
u 181
29.8%

데이터갱신일자
Date

Distinct134
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-04-30T04:31:48.257617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:31:48.374247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
일반세탁업
566 
빨래방업
 
24
운동화전문세탁업
 
17
세탁업 기타
 
1

Length

Max length8
Median length5
Mean length5.0460526
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 566
93.1%
빨래방업 24
 
3.9%
운동화전문세탁업 17
 
2.8%
세탁업 기타 1
 
0.2%

Length

2024-04-30T04:31:48.494026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:48.585898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 566
92.9%
빨래방업 24
 
3.9%
운동화전문세탁업 17
 
2.8%
세탁업 1
 
0.2%
기타 1
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct474
Distinct (%)80.9%
Missing22
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean185861.96
Minimum182217.24
Maximum189098.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-30T04:31:48.683688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182217.24
5-th percentile183070.36
Q1184650
median186077.08
Q3187072.34
95-th percentile188137.87
Maximum189098.81
Range6881.5646
Interquartile range (IQR)2422.3428

Descriptive statistics

Standard deviation1619.2055
Coefficient of variation (CV)0.0087118711
Kurtosis-0.82409436
Mean185861.96
Median Absolute Deviation (MAD)1042.7318
Skewness-0.33005556
Sum1.0891511 × 108
Variance2621826.3
MonotonicityNot monotonic
2024-04-30T04:31:48.810709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187084.103220523 5
 
0.8%
187872.565001606 5
 
0.8%
185034.346957949 5
 
0.8%
186520.549439619 4
 
0.7%
183937.7403014 4
 
0.7%
185813.15048215 4
 
0.7%
183471.865866878 3
 
0.5%
184132.509984983 3
 
0.5%
183484.777904423 3
 
0.5%
187580.879904333 3
 
0.5%
Other values (464) 547
90.0%
(Missing) 22
 
3.6%
ValueCountFrequency (%)
182217.242149658 1
 
0.2%
182742.537963411 3
0.5%
182749.273937321 1
 
0.2%
182852.799221009 2
0.3%
182859.059692916 1
 
0.2%
182876.367858149 1
 
0.2%
182897.251870492 2
0.3%
182920.603878336 1
 
0.2%
182933.115073744 2
0.3%
182935.997213709 1
 
0.2%
ValueCountFrequency (%)
189098.806779959 2
0.3%
189022.284939732 1
0.2%
189011.568783449 1
0.2%
188998.079772416 1
0.2%
188950.224677472 1
0.2%
188894.08883472 1
0.2%
188891.283361072 1
0.2%
188844.263978802 1
0.2%
188835.402562736 1
0.2%
188798.189527387 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct475
Distinct (%)81.1%
Missing22
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean449946.36
Minimum447326.55
Maximum453178.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-30T04:31:48.928526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447326.55
5-th percentile447630.44
Q1448663.26
median450003.26
Q3451171.29
95-th percentile452331.31
Maximum453178.31
Range5851.7571
Interquartile range (IQR)2508.0334

Descriptive statistics

Standard deviation1511.76
Coefficient of variation (CV)0.0033598671
Kurtosis-1.0255988
Mean449946.36
Median Absolute Deviation (MAD)1261.5064
Skewness0.056617187
Sum2.6366857 × 108
Variance2285418.3
MonotonicityNot monotonic
2024-04-30T04:31:49.032094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451262.653397625 5
 
0.8%
450725.186846026 5
 
0.8%
449164.972451344 5
 
0.8%
452514.491608298 4
 
0.7%
450434.088151226 4
 
0.7%
450383.07946605 4
 
0.7%
452003.823555081 3
 
0.5%
450957.956486974 3
 
0.5%
451087.687651536 3
 
0.5%
447449.615586069 3
 
0.5%
Other values (465) 547
90.0%
(Missing) 22
 
3.6%
ValueCountFrequency (%)
447326.548615694 1
 
0.2%
447365.022970287 1
 
0.2%
447436.857075409 1
 
0.2%
447437.768925792 1
 
0.2%
447449.615586069 3
0.5%
447452.379638889 1
 
0.2%
447457.338420055 1
 
0.2%
447473.147836582 1
 
0.2%
447485.427847391 1
 
0.2%
447490.504198119 1
 
0.2%
ValueCountFrequency (%)
453178.305694113 2
0.3%
453050.733807442 1
0.2%
453016.85493941 1
0.2%
453015.644256685 1
0.2%
452922.98039021 1
0.2%
452906.521290095 1
0.2%
452885.190156723 2
0.3%
452801.707821111 1
0.2%
452788.517172109 1
0.2%
452783.158197133 1
0.2%

위생업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
일반세탁업
505 
<NA>
65 
빨래방업
 
24
운동화전문세탁업
 
13
세탁업 기타
 
1

Length

Max length8
Median length5
Mean length4.9194079
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 505
83.1%
<NA> 65
 
10.7%
빨래방업 24
 
3.9%
운동화전문세탁업 13
 
2.1%
세탁업 기타 1
 
0.2%

Length

2024-04-30T04:31:49.153916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:49.258566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 505
82.9%
na 65
 
10.7%
빨래방업 24
 
3.9%
운동화전문세탁업 13
 
2.1%
세탁업 1
 
0.2%
기타 1
 
0.2%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)3.6%
Missing271
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean1.3590504
Minimum0
Maximum51
Zeros220
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-30T04:31:49.354129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum51
Range51
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.4311055
Coefficient of variation (CV)2.5246344
Kurtosis131.65359
Mean1.3590504
Median Absolute Deviation (MAD)0
Skewness9.6321255
Sum458
Variance11.772485
MonotonicityNot monotonic
2024-04-30T04:31:49.463694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 220
36.2%
3 36
 
5.9%
4 24
 
3.9%
2 21
 
3.5%
5 16
 
2.6%
1 12
 
2.0%
15 2
 
0.3%
6 2
 
0.3%
51 1
 
0.2%
11 1
 
0.2%
Other values (2) 2
 
0.3%
(Missing) 271
44.6%
ValueCountFrequency (%)
0 220
36.2%
1 12
 
2.0%
2 21
 
3.5%
3 36
 
5.9%
4 24
 
3.9%
5 16
 
2.6%
6 2
 
0.3%
7 1
 
0.2%
9 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
51 1
 
0.2%
15 2
 
0.3%
11 1
 
0.2%
9 1
 
0.2%
7 1
 
0.2%
6 2
 
0.3%
5 16
2.6%
4 24
3.9%
3 36
5.9%
2 21
3.5%

건물지하층수
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
300 
0
255 
1
49 
2
 
3
3
 
1

Length

Max length4
Median length1
Mean length2.4802632
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 300
49.3%
0 255
41.9%
1 49
 
8.1%
2 3
 
0.5%
3 1
 
0.2%

Length

2024-04-30T04:31:49.573022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:49.669681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 300
49.3%
0 255
41.9%
1 49
 
8.1%
2 3
 
0.5%
3 1
 
0.2%

사용시작지상층
Categorical

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
280 
0
174 
1
122 
2
 
25
3
 
6

Length

Max length4
Median length1
Mean length2.3815789
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 280
46.1%
0 174
28.6%
1 122
20.1%
2 25
 
4.1%
3 6
 
1.0%
4 1
 
0.2%

Length

2024-04-30T04:31:49.772466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:49.869865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 280
46.1%
0 174
28.6%
1 122
20.1%
2 25
 
4.1%
3 6
 
1.0%
4 1
 
0.2%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.3%
Missing366
Missing (%)60.2%
Infinite0
Infinite (%)0.0%
Mean2.8966942
Minimum0
Maximum202
Zeros178
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-30T04:31:49.965036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum202
Range202
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.541242
Coefficient of variation (CV)6.4008283
Kurtosis69.16079
Mean2.8966942
Median Absolute Deviation (MAD)0
Skewness7.9644166
Sum701
Variance343.77767
MonotonicityNot monotonic
2024-04-30T04:31:50.063637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 178
29.3%
1 40
 
6.6%
2 17
 
2.8%
3 2
 
0.3%
101 2
 
0.3%
107 1
 
0.2%
202 1
 
0.2%
110 1
 
0.2%
(Missing) 366
60.2%
ValueCountFrequency (%)
0 178
29.3%
1 40
 
6.6%
2 17
 
2.8%
3 2
 
0.3%
101 2
 
0.3%
107 1
 
0.2%
110 1
 
0.2%
202 1
 
0.2%
ValueCountFrequency (%)
202 1
 
0.2%
110 1
 
0.2%
107 1
 
0.2%
101 2
 
0.3%
3 2
 
0.3%
2 17
 
2.8%
1 40
 
6.6%
0 178
29.3%

사용시작지하층
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
369 
0
227 
1
 
12

Length

Max length4
Median length4
Mean length2.8207237
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 369
60.7%
0 227
37.3%
1 12
 
2.0%

Length

2024-04-30T04:31:50.174305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:50.262871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 369
60.7%
0 227
37.3%
1 12
 
2.0%

사용끝지하층
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
395 
0
208 
1
 
5

Length

Max length4
Median length4
Mean length2.9490132
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 395
65.0%
0 208
34.2%
1 5
 
0.8%

Length

2024-04-30T04:31:50.355626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:50.438028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 395
65.0%
0 208
34.2%
1 5
 
0.8%

한실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
310 
0
298 

Length

Max length4
Median length4
Mean length2.5296053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
51.0%
0 298
49.0%

Length

2024-04-30T04:31:50.538859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:50.623095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
51.0%
0 298
49.0%

양실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
310 
0
298 

Length

Max length4
Median length4
Mean length2.5296053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
51.0%
0 298
49.0%

Length

2024-04-30T04:31:50.712121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:50.792826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
51.0%
0 298
49.0%

욕실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
310 
0
298 

Length

Max length4
Median length4
Mean length2.5296053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
51.0%
0 298
49.0%

Length

2024-04-30T04:31:50.881646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:50.978565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
51.0%
0 298
49.0%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing67
Missing (%)11.0%
Memory size1.3 KiB
False
541 
(Missing)
67 
ValueCountFrequency (%)
False 541
89.0%
(Missing) 67
 
11.0%
2024-04-30T04:31:51.039487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
309 
0
298 
4
 
1

Length

Max length4
Median length4
Mean length2.5246711
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 309
50.8%
0 298
49.0%
4 1
 
0.2%

Length

2024-04-30T04:31:51.123310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:51.223160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 309
50.8%
0 298
49.0%
4 1
 
0.2%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing608
Missing (%)100.0%
Memory size5.5 KiB

건물소유구분명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
458 
임대
144 
자가
 
6

Length

Max length4
Median length4
Mean length3.5065789
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> 458
75.3%
임대 144
 
23.7%
자가 6
 
1.0%

Length

2024-04-30T04:31:51.328578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:51.420544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 458
75.3%
임대 144
 
23.7%
자가 6
 
1.0%

세탁기수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.5%
Missing328
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean0.91428571
Minimum0
Maximum8
Zeros162
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-30T04:31:51.501430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3143035
Coefficient of variation (CV)1.4375195
Kurtosis2.9585878
Mean0.91428571
Median Absolute Deviation (MAD)0
Skewness1.5711762
Sum256
Variance1.7273938
MonotonicityNot monotonic
2024-04-30T04:31:51.612416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 162
26.6%
1 40
 
6.6%
2 37
 
6.1%
3 28
 
4.6%
4 11
 
1.8%
8 1
 
0.2%
6 1
 
0.2%
(Missing) 328
53.9%
ValueCountFrequency (%)
0 162
26.6%
1 40
 
6.6%
2 37
 
6.1%
3 28
 
4.6%
4 11
 
1.8%
6 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
8 1
 
0.2%
6 1
 
0.2%
4 11
 
1.8%
3 28
 
4.6%
2 37
 
6.1%
1 40
 
6.6%
0 162
26.6%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
550 
0
57 
1
 
1

Length

Max length4
Median length4
Mean length3.7138158
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 550
90.5%
0 57
 
9.4%
1 1
 
0.2%

Length

2024-04-30T04:31:51.719508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:51.803210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 550
90.5%
0 57
 
9.4%
1 1
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
550 
0
56 
1
 
2

Length

Max length4
Median length4
Mean length3.7138158
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> 550
90.5%
0 56
 
9.2%
1 2
 
0.3%

Length

2024-04-30T04:31:52.085841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:52.163095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 550
90.5%
0 56
 
9.2%
1 2
 
0.3%

회수건조수
Categorical

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
334 
1
206 
0
58 
2
 
7
4
 
2

Length

Max length4
Median length4
Mean length2.6480263
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 334
54.9%
1 206
33.9%
0 58
 
9.5%
2 7
 
1.2%
4 2
 
0.3%
3 1
 
0.2%

Length

2024-04-30T04:31:52.259695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:52.373958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 334
54.9%
1 206
33.9%
0 58
 
9.5%
2 7
 
1.2%
4 2
 
0.3%
3 1
 
0.2%

침대수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
<NA>
334 
0
274 

Length

Max length4
Median length4
Mean length2.6480263
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 334
54.9%
0 274
45.1%

Length

2024-04-30T04:31:52.488940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:52.584949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 334
54.9%
0 274
45.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing65
Missing (%)10.7%
Memory size1.3 KiB
False
543 
(Missing)
65 
ValueCountFrequency (%)
False 543
89.3%
(Missing) 65
 
10.7%
2024-04-30T04:31:52.654915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
031500003150000-205-1987-0168319870806<NA>3폐업2폐업20000712<NA><NA><NA>02069684170.0157883서울특별시 강서구 화곡동 360-17번지<NA><NA>화곡사2000-07-12 00:00:00I2018-08-31 23:59:59.0일반세탁업185512.590853447847.679016일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
131500003150000-205-1987-0168419871222<NA>3폐업2폐업20110112<NA><NA><NA>022603348026.4157925서울특별시 강서구 화곡동 1071-27번지<NA><NA>중앙사2003-06-04 00:00:00I2018-08-31 23:59:59.0일반세탁업185406.986836448595.56367일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
231500003150000-205-1987-0168519871027<NA>3폐업2폐업20030225<NA><NA><NA>02069128440.0157882서울특별시 강서구 화곡동 354-78번지<NA><NA>반도사2003-04-03 00:00:00I2018-08-31 23:59:59.0일반세탁업185827.430607447916.191831일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
331500003150000-205-1987-0168719870706<NA>1영업/정상1영업<NA><NA><NA><NA>022663976926.4157850서울특별시 강서구 방화동 559-6번지서울특별시 강서구 양천로14가길 2 (방화동)7602방신사2018-12-13 15:12:21U2018-12-15 02:40:00.0일반세탁업183145.197387452242.079236일반세탁업000000000N0<NA><NA><NA><NA>1<NA><NA>10N
431500003150000-205-1987-016881987-07-06<NA>3폐업2폐업2024-04-15<NA><NA><NA>02266266370.0157-850서울특별시 강서구 방화동 849 벽산근린상가 1층 C20호서울특별시 강서구 양천로 28 (방화동,벽산근린상가 1층 C20호)7601대구사2024-04-15 11:38:16U2023-12-03 23:07:00.0일반세탁업182876.367858452247.393831<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
531500003150000-205-1987-0168919870706<NA>1영업/정상1영업<NA><NA><NA><NA>022699397049.0157879서울특별시 강서구 화곡동 340-59서울특별시 강서구 곰달래로25길 77 (화곡동)7756런던사2021-08-30 13:51:44U2021-09-01 02:40:00.0일반세탁업186475.98831447993.827943일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
631500003150000-205-1987-0169019870706<NA>1영업/정상1영업<NA><NA><NA><NA>02269079900.0157908서울특별시 강서구 화곡동 894-4번지서울특별시 강서구 곰달래로26길 16 (화곡동)7781백양사2013-06-26 10:37:48I2018-08-31 23:59:59.0일반세탁업186589.774285447533.767444일반세탁업000000000N0<NA><NA><NA><NA>0<NA><NA>10N
731500003150000-205-1987-0169119870706<NA>3폐업2폐업20110804<NA><NA><NA>022663510529.0157849서울특별시 강서구 방화동 451-10번지<NA><NA>부일사2010-07-16 10:50:17I2018-08-31 23:59:59.0일반세탁업<NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
831500003150000-205-1987-0169219870706<NA>3폐업2폐업20130718<NA><NA><NA>022664593126.4157835서울특별시 강서구 내발산동 720번지서울특별시 강서구 강서로45라길 36 (내발산동)7639강서사2013-06-21 17:34:45I2018-08-31 23:59:59.0일반세탁업185291.289363449678.11505일반세탁업000000000N0<NA><NA><NA><NA>0<NA><NA>10N
931500003150000-205-1987-0169319870706<NA>1영업/정상1영업<NA><NA><NA><NA>022662097926.0157829서울특별시 강서구 내발산동 687-1번지서울특별시 강서구 강서로47길 67 (내발산동)7638한양사2013-07-12 17:30:00I2018-08-31 23:59:59.0일반세탁업185120.553743450080.859549일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
59831500003150000-205-2021-0000220210126<NA>3폐업2폐업20220707<NA><NA><NA><NA>52.8157210서울특별시 강서구 마곡동 760 마곡나루역보타닉푸르지오시티 225호서울특별시 강서구 마곡중앙5로 6, 마곡나루역보타닉푸르지오시티 2층 225호 (마곡동)7788주식회사 소셜앤피플 마곡점2022-07-07 13:24:40U2021-12-06 23:02:00.0일반세탁업184650.0451667.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
59931500003150000-205-2021-0000320210603<NA>1영업/정상1영업<NA><NA><NA><NA>022663060684.24157816서울특별시 강서구 공항동 1350-3서울특별시 강서구 방화대로6라길 19, 1층 (공항동)7645명품 세탁소2021-06-03 11:15:12I2021-06-05 00:23:05.0일반세탁업183871.122379450418.670514일반세탁업0022<NA><NA>000N0<NA><NA><NA><NA>40100N
60031500003150000-205-2021-0000420210913<NA>1영업/정상1영업<NA><NA><NA><NA><NA>29.7157849서울특별시 강서구 방화동 448-7서울특별시 강서구 방화대로45길 51, 1층 일부호 (방화동)7517신동부 세탁소2021-09-13 12:17:10I2021-09-15 00:22:49.0일반세탁업183471.865867452449.274184일반세탁업000000000N0<NA><NA><NA><NA>10010N
60131500003150000-205-2021-000052021-11-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>45.9157-210서울특별시 강서구 마곡동 760 마곡나루역보타닉푸르지오시티서울특별시 강서구 마곡중앙5로 6, 마곡나루역보타닉푸르지오시티 제비동 지하1층 116호 (마곡동)7788명품 푸르지오 세탁2023-07-10 17:09:28U2022-12-06 23:03:00.0일반세탁업184646.580818451684.726858<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
60231500003150000-205-2021-0000620211230<NA>1영업/정상1영업<NA><NA><NA><NA>022659331748.05157210서울특별시 강서구 마곡동 776-2 마곡센트럴대방디엠시티오피스텔서울특별시 강서구 양천로 344, 마곡센트럴대방디엠시티오피스텔 1층 147-1호 (마곡동)7791명품대방시티수선2021-12-30 09:18:38I2022-01-01 00:22:41.0일반세탁업185798.0451778.0일반세탁업000000000N0<NA><NA><NA><NA>30010N
60331500003150000-205-2022-000012022-08-01<NA>3폐업2폐업2023-12-28<NA><NA><NA><NA>26.17157-010서울특별시 강서구 화곡동 1145 우장산롯데캐슬아파트 상가동 103호서울특별시 강서구 공항대로 382, 상가동 1층 103호 (화곡동, 우장산롯데캐슬아파트)7648롯데세탁2023-12-28 13:51:59U2022-11-01 21:00:00.0일반세탁업186520.54944450383.079466<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
60431500003150000-205-2022-000022022-08-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.33157-853서울특별시 강서구 방화동 646-26 1층호서울특별시 강서구 개화동로23길 65, 1층 (방화동)7614우진세탁2024-04-15 16:05:00U2023-12-03 23:07:00.0일반세탁업183070.649448451556.546917<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
60531500003150000-205-2022-0000320220809<NA>1영업/정상1영업<NA><NA><NA><NA>022698323236.21157884서울특별시 강서구 화곡동 369-40 좌측호서울특별시 강서구 월정로30길 81, 1층 좌측호 (화곡동)7765맑은 운동화 빨래방2022-08-09 13:25:52I2021-12-07 23:01:00.0운동화전문세탁업185807.999966448140.645178<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
60631500003150000-205-2022-0000420221116<NA>1영업/정상1영업<NA><NA><NA><NA>02 762398830.0157853서울특별시 강서구 방화동 648-62 2층 1호서울특별시 강서구 초원로 16-1, 2층 1호 (방화동)7612런드리 솔2022-11-16 09:35:44I2021-10-31 23:08:00.0일반세탁업182897.25187451722.368873<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
60731500003150000-205-2023-000012023-12-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>52.8157-210서울특별시 강서구 마곡동 760 마곡나루역보타닉푸르지오시티서울특별시 강서구 마곡중앙5로 6, 마곡나루역보타닉푸르지오시티 225호 (마곡동)7788세탁왕 김탈수 라운지2023-12-19 14:15:17I2022-11-01 22:01:00.0일반세탁업184646.580818451684.726858<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>