Overview

Dataset statistics

Number of variables47
Number of observations1119
Missing cells14785
Missing cells (%)28.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory441.6 KiB
Average record size in memory404.1 B

Variable types

Categorical18
Text7
DateTime4
Unsupported7
Numeric9
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17975/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (89.5%)Imbalance
위생업태명 is highly imbalanced (79.5%)Imbalance
사용시작지하층 is highly imbalanced (58.4%)Imbalance
사용끝지하층 is highly imbalanced (81.0%)Imbalance
건물소유구분명 is highly imbalanced (65.3%)Imbalance
여성종사자수 is highly imbalanced (69.8%)Imbalance
남성종사자수 is highly imbalanced (80.6%)Imbalance
인허가취소일자 has 1119 (100.0%) missing valuesMissing
폐업일자 has 239 (21.4%) missing valuesMissing
휴업시작일자 has 1119 (100.0%) missing valuesMissing
휴업종료일자 has 1119 (100.0%) missing valuesMissing
재개업일자 has 1119 (100.0%) missing valuesMissing
전화번호 has 124 (11.1%) missing valuesMissing
도로명주소 has 617 (55.1%) missing valuesMissing
도로명우편번호 has 622 (55.6%) missing valuesMissing
좌표정보(X) has 202 (18.1%) missing valuesMissing
좌표정보(Y) has 202 (18.1%) missing valuesMissing
건물지상층수 has 643 (57.5%) missing valuesMissing
건물지하층수 has 674 (60.2%) missing valuesMissing
사용시작지상층 has 684 (61.1%) missing valuesMissing
사용끝지상층 has 925 (82.7%) missing valuesMissing
발한실여부 has 73 (6.5%) missing valuesMissing
조건부허가신고사유 has 1119 (100.0%) missing valuesMissing
조건부허가시작일자 has 1119 (100.0%) missing valuesMissing
조건부허가종료일자 has 1119 (100.0%) missing valuesMissing
세탁기수 has 913 (81.6%) missing valuesMissing
회수건조수 has 979 (87.5%) missing valuesMissing
다중이용업소여부 has 54 (4.8%) 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
건물지상층수 has 383 (34.2%) zerosZeros
건물지하층수 has 405 (36.2%) zerosZeros
사용시작지상층 has 244 (21.8%) zerosZeros
회수건조수 has 19 (1.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:59:29.682395
Analysis finished2024-05-11 05:59:30.813086
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
3230000
1119 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 1119
100.0%

Length

2024-05-11T14:59:30.906906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:31.003830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 1119
100.0%

관리번호
Text

UNIQUE 

Distinct1119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T14:59:31.198611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters24618
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

Unique1119 ?
Unique (%)100.0%

Sample

1st row3230000-205-1987-02705
2nd row3230000-205-1987-02706
3rd row3230000-205-1987-02713
4th row3230000-205-1987-02733
5th row3230000-205-1987-02734
ValueCountFrequency (%)
3230000-205-1987-02705 1
 
0.1%
3230000-205-2003-00046 1
 
0.1%
3230000-205-2003-00061 1
 
0.1%
3230000-205-2003-00060 1
 
0.1%
3230000-205-2003-00059 1
 
0.1%
3230000-205-2003-00058 1
 
0.1%
3230000-205-2003-00056 1
 
0.1%
3230000-205-2003-00055 1
 
0.1%
3230000-205-2003-00053 1
 
0.1%
3230000-205-2003-00081 1
 
0.1%
Other values (1109) 1109
99.1%
2024-05-11T14:59:31.596384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8805
35.8%
2 3613
14.7%
- 3357
 
13.6%
3 2764
 
11.2%
9 1505
 
6.1%
5 1500
 
6.1%
1 1223
 
5.0%
8 642
 
2.6%
7 493
 
2.0%
6 359
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21261
86.4%
Dash Punctuation 3357
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8805
41.4%
2 3613
17.0%
3 2764
 
13.0%
9 1505
 
7.1%
5 1500
 
7.1%
1 1223
 
5.8%
8 642
 
3.0%
7 493
 
2.3%
6 359
 
1.7%
4 357
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 3357
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24618
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8805
35.8%
2 3613
14.7%
- 3357
 
13.6%
3 2764
 
11.2%
9 1505
 
6.1%
5 1500
 
6.1%
1 1223
 
5.0%
8 642
 
2.6%
7 493
 
2.0%
6 359
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8805
35.8%
2 3613
14.7%
- 3357
 
13.6%
3 2764
 
11.2%
9 1505
 
6.1%
5 1500
 
6.1%
1 1223
 
5.0%
8 642
 
2.6%
7 493
 
2.0%
6 359
 
1.5%
Distinct588
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum1987-05-12 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T14:59:32.075591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:32.236097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1119
Missing (%)100.0%
Memory size10.0 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
3
880 
1
239 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 880
78.6%
1 239
 
21.4%

Length

2024-05-11T14:59:32.371242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:32.488409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 880
78.6%
1 239
 
21.4%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
폐업
880 
영업/정상
239 

Length

Max length5
Median length2
Mean length2.6407507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 880
78.6%
영업/정상 239
 
21.4%

Length

2024-05-11T14:59:32.602021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:32.702536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 880
78.6%
영업/정상 239
 
21.4%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2
880 
1
239 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 880
78.6%
1 239
 
21.4%

Length

2024-05-11T14:59:32.803423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:32.899388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 880
78.6%
1 239
 
21.4%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
폐업
880 
영업
239 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 880
78.6%
영업 239
 
21.4%

Length

2024-05-11T14:59:33.048614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:33.184555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 880
78.6%
영업 239
 
21.4%

폐업일자
Date

MISSING 

Distinct605
Distinct (%)68.8%
Missing239
Missing (%)21.4%
Memory size8.9 KiB
Minimum1988-07-29 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T14:59:33.331670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:33.499454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1119
Missing (%)100.0%
Memory size10.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1119
Missing (%)100.0%
Memory size10.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1119
Missing (%)100.0%
Memory size10.0 KiB

전화번호
Text

MISSING 

Distinct841
Distinct (%)84.5%
Missing124
Missing (%)11.1%
Memory size8.9 KiB
2024-05-11T14:59:33.824686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.119598
Min length2

Characters and Unicode

Total characters10069
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

Unique734 ?
Unique (%)73.8%

Sample

1st row0204173726
2nd row02 4014506
3rd row0204079279
4th row0204157761
5th row02 4072020
ValueCountFrequency (%)
02 741
40.9%
00000 23
 
1.3%
0200000000 13
 
0.7%
407 5
 
0.3%
4021047 4
 
0.2%
4864867 4
 
0.2%
031 4
 
0.2%
4004908 4
 
0.2%
400 4
 
0.2%
420 3
 
0.2%
Other values (873) 1006
55.5%
2024-05-11T14:59:34.307012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2282
22.7%
2 1696
16.8%
4 1494
14.8%
934
9.3%
1 722
 
7.2%
3 615
 
6.1%
8 538
 
5.3%
7 506
 
5.0%
6 474
 
4.7%
5 438
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9135
90.7%
Space Separator 934
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2282
25.0%
2 1696
18.6%
4 1494
16.4%
1 722
 
7.9%
3 615
 
6.7%
8 538
 
5.9%
7 506
 
5.5%
6 474
 
5.2%
5 438
 
4.8%
9 370
 
4.1%
Space Separator
ValueCountFrequency (%)
934
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10069
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2282
22.7%
2 1696
16.8%
4 1494
14.8%
934
9.3%
1 722
 
7.2%
3 615
 
6.1%
8 538
 
5.3%
7 506
 
5.0%
6 474
 
4.7%
5 438
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10069
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2282
22.7%
2 1696
16.8%
4 1494
14.8%
934
9.3%
1 722
 
7.2%
3 615
 
6.1%
8 538
 
5.3%
7 506
 
5.0%
6 474
 
4.7%
5 438
 
4.3%
Distinct449
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T14:59:34.756070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.2743521
Min length3

Characters and Unicode

Total characters4783
Distinct characters12
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

Unique373 ?
Unique (%)33.3%

Sample

1st row.00
2nd row.00
3rd row.00
4th row.00
5th row16.25
ValueCountFrequency (%)
00 454
40.6%
33.00 43
 
3.8%
26.40 18
 
1.6%
23.10 11
 
1.0%
30.00 10
 
0.9%
26.00 10
 
0.9%
49.50 8
 
0.7%
19.80 7
 
0.6%
16.00 7
 
0.6%
0.00 7
 
0.6%
Other values (439) 544
48.6%
2024-05-11T14:59:35.368351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1593
33.3%
. 1119
23.4%
2 333
 
7.0%
1 333
 
7.0%
3 287
 
6.0%
6 220
 
4.6%
5 213
 
4.5%
4 209
 
4.4%
8 166
 
3.5%
9 163
 
3.4%
Other values (2) 147
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3660
76.5%
Other Punctuation 1123
 
23.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1593
43.5%
2 333
 
9.1%
1 333
 
9.1%
3 287
 
7.8%
6 220
 
6.0%
5 213
 
5.8%
4 209
 
5.7%
8 166
 
4.5%
9 163
 
4.5%
7 143
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 1119
99.6%
, 4
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4783
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1593
33.3%
. 1119
23.4%
2 333
 
7.0%
1 333
 
7.0%
3 287
 
6.0%
6 220
 
4.6%
5 213
 
4.5%
4 209
 
4.4%
8 166
 
3.5%
9 163
 
3.4%
Other values (2) 147
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4783
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1593
33.3%
. 1119
23.4%
2 333
 
7.0%
1 333
 
7.0%
3 287
 
6.0%
6 220
 
4.6%
5 213
 
4.5%
4 209
 
4.4%
8 166
 
3.5%
9 163
 
3.4%
Other values (2) 147
 
3.1%
Distinct135
Distinct (%)12.1%
Missing1
Missing (%)0.1%
Memory size8.9 KiB
2024-05-11T14:59:35.700257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.029517
Min length6

Characters and Unicode

Total characters6741
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

Unique32 ?
Unique (%)2.9%

Sample

1st row138840
2nd row138050
3rd row138823
4th row138837
5th row138210
ValueCountFrequency (%)
138210 170
 
15.2%
138200 29
 
2.6%
138813 22
 
2.0%
138830 20
 
1.8%
138873 20
 
1.8%
138240 19
 
1.7%
138845 19
 
1.7%
138888 17
 
1.5%
138874 17
 
1.5%
138862 16
 
1.4%
Other values (125) 769
68.8%
2024-05-11T14:59:36.113464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 2048
30.4%
1 1544
22.9%
3 1334
19.8%
0 453
 
6.7%
2 414
 
6.1%
4 238
 
3.5%
5 217
 
3.2%
7 170
 
2.5%
9 149
 
2.2%
6 141
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6708
99.5%
Dash Punctuation 33
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 2048
30.5%
1 1544
23.0%
3 1334
19.9%
0 453
 
6.8%
2 414
 
6.2%
4 238
 
3.5%
5 217
 
3.2%
7 170
 
2.5%
9 149
 
2.2%
6 141
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6741
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 2048
30.4%
1 1544
22.9%
3 1334
19.8%
0 453
 
6.7%
2 414
 
6.1%
4 238
 
3.5%
5 217
 
3.2%
7 170
 
2.5%
9 149
 
2.2%
6 141
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6741
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 2048
30.4%
1 1544
22.9%
3 1334
19.8%
0 453
 
6.7%
2 414
 
6.1%
4 238
 
3.5%
5 217
 
3.2%
7 170
 
2.5%
9 149
 
2.2%
6 141
 
2.1%
Distinct1036
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T14:59:36.432120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length25.133155
Min length8

Characters and Unicode

Total characters28124
Distinct characters203
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique958 ?
Unique (%)85.6%

Sample

1st row서울특별시 송파구 삼전동 126-0번지
2nd row서울특별시 송파구 방이동 390-6번지 가락1차153브럭1호
3rd row서울특별시 송파구 문정동 1번지 문정상가 201호
4th row서울특별시 송파구 삼전동 13-7번지 지상1층
5th row서울특별시 송파구 장지동 산 203-19번지
ValueCountFrequency (%)
서울특별시 1118
20.9%
송파구 1118
20.9%
장지동 179
 
3.3%
170
 
3.2%
잠실동 125
 
2.3%
가락동 116
 
2.2%
방이동 112
 
2.1%
문정동 91
 
1.7%
풍납동 76
 
1.4%
거여동 75
 
1.4%
Other values (1197) 2164
40.5%
2024-05-11T14:59:37.000846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5225
18.6%
1346
 
4.8%
1 1334
 
4.7%
1261
 
4.5%
1200
 
4.3%
1199
 
4.3%
1143
 
4.1%
1123
 
4.0%
1120
 
4.0%
1119
 
4.0%
Other values (193) 12054
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16723
59.5%
Space Separator 5225
 
18.6%
Decimal Number 5045
 
17.9%
Dash Punctuation 922
 
3.3%
Close Punctuation 71
 
0.3%
Open Punctuation 71
 
0.3%
Uppercase Letter 51
 
0.2%
Other Punctuation 15
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1346
 
8.0%
1261
 
7.5%
1200
 
7.2%
1199
 
7.2%
1143
 
6.8%
1123
 
6.7%
1120
 
6.7%
1119
 
6.7%
1119
 
6.7%
1118
 
6.7%
Other values (167) 4975
29.7%
Decimal Number
ValueCountFrequency (%)
1 1334
26.4%
2 754
14.9%
0 527
 
10.4%
3 441
 
8.7%
6 373
 
7.4%
4 365
 
7.2%
5 356
 
7.1%
9 300
 
5.9%
7 298
 
5.9%
8 297
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 22
43.1%
B 19
37.3%
C 3
 
5.9%
F 2
 
3.9%
P 1
 
2.0%
S 1
 
2.0%
E 1
 
2.0%
T 1
 
2.0%
Y 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 10
66.7%
/ 5
33.3%
Space Separator
ValueCountFrequency (%)
5225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 922
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16723
59.5%
Common 11350
40.4%
Latin 51
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1346
 
8.0%
1261
 
7.5%
1200
 
7.2%
1199
 
7.2%
1143
 
6.8%
1123
 
6.7%
1120
 
6.7%
1119
 
6.7%
1119
 
6.7%
1118
 
6.7%
Other values (167) 4975
29.7%
Common
ValueCountFrequency (%)
5225
46.0%
1 1334
 
11.8%
- 922
 
8.1%
2 754
 
6.6%
0 527
 
4.6%
3 441
 
3.9%
6 373
 
3.3%
4 365
 
3.2%
5 356
 
3.1%
9 300
 
2.6%
Other values (7) 753
 
6.6%
Latin
ValueCountFrequency (%)
A 22
43.1%
B 19
37.3%
C 3
 
5.9%
F 2
 
3.9%
P 1
 
2.0%
S 1
 
2.0%
E 1
 
2.0%
T 1
 
2.0%
Y 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16723
59.5%
ASCII 11401
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5225
45.8%
1 1334
 
11.7%
- 922
 
8.1%
2 754
 
6.6%
0 527
 
4.6%
3 441
 
3.9%
6 373
 
3.3%
4 365
 
3.2%
5 356
 
3.1%
9 300
 
2.6%
Other values (16) 804
 
7.1%
Hangul
ValueCountFrequency (%)
1346
 
8.0%
1261
 
7.5%
1200
 
7.2%
1199
 
7.2%
1143
 
6.8%
1123
 
6.7%
1120
 
6.7%
1119
 
6.7%
1119
 
6.7%
1118
 
6.7%
Other values (167) 4975
29.7%

도로명주소
Text

MISSING 

Distinct499
Distinct (%)99.4%
Missing617
Missing (%)55.1%
Memory size8.9 KiB
2024-05-11T14:59:37.358891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length32.298805
Min length22

Characters and Unicode

Total characters16214
Distinct characters212
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

Unique496 ?
Unique (%)98.8%

Sample

1st row서울특별시 송파구 백제고분로31길 32 (삼전동)
2nd row서울특별시 송파구 백제고분로18길 18 (잠실동)
3rd row서울특별시 송파구 백제고분로23길 30 (삼전동)
4th row서울특별시 송파구 강동대로 61-15 (풍납동)
5th row서울특별시 송파구 백제고분로48나길 3 (방이동,(1층))
ValueCountFrequency (%)
서울특별시 502
 
16.8%
송파구 502
 
16.8%
1층 65
 
2.2%
가락동 53
 
1.8%
지상1층 51
 
1.7%
잠실동 44
 
1.5%
문정동 41
 
1.4%
방이동 39
 
1.3%
석촌동 36
 
1.2%
송파동 35
 
1.2%
Other values (716) 1613
54.1%
2024-05-11T14:59:37.937973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2481
 
15.3%
1 801
 
4.9%
659
 
4.1%
611
 
3.8%
573
 
3.5%
) 522
 
3.2%
( 522
 
3.2%
521
 
3.2%
504
 
3.1%
504
 
3.1%
Other values (202) 8516
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9590
59.1%
Decimal Number 2587
 
16.0%
Space Separator 2481
 
15.3%
Close Punctuation 522
 
3.2%
Open Punctuation 522
 
3.2%
Other Punctuation 392
 
2.4%
Dash Punctuation 71
 
0.4%
Uppercase Letter 47
 
0.3%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
659
 
6.9%
611
 
6.4%
573
 
6.0%
521
 
5.4%
504
 
5.3%
504
 
5.3%
504
 
5.3%
503
 
5.2%
502
 
5.2%
499
 
5.2%
Other values (175) 4210
43.9%
Decimal Number
ValueCountFrequency (%)
1 801
31.0%
2 393
15.2%
3 313
 
12.1%
0 220
 
8.5%
4 191
 
7.4%
5 189
 
7.3%
6 151
 
5.8%
8 122
 
4.7%
7 110
 
4.3%
9 97
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 27
57.4%
A 11
23.4%
F 2
 
4.3%
T 2
 
4.3%
S 1
 
2.1%
P 1
 
2.1%
C 1
 
2.1%
Y 1
 
2.1%
E 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 388
99.0%
/ 4
 
1.0%
Space Separator
ValueCountFrequency (%)
2481
100.0%
Close Punctuation
ValueCountFrequency (%)
) 522
100.0%
Open Punctuation
ValueCountFrequency (%)
( 522
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Lowercase Letter
ValueCountFrequency (%)
y 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9590
59.1%
Common 6576
40.6%
Latin 48
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
659
 
6.9%
611
 
6.4%
573
 
6.0%
521
 
5.4%
504
 
5.3%
504
 
5.3%
504
 
5.3%
503
 
5.2%
502
 
5.2%
499
 
5.2%
Other values (175) 4210
43.9%
Common
ValueCountFrequency (%)
2481
37.7%
1 801
 
12.2%
) 522
 
7.9%
( 522
 
7.9%
2 393
 
6.0%
, 388
 
5.9%
3 313
 
4.8%
0 220
 
3.3%
4 191
 
2.9%
5 189
 
2.9%
Other values (7) 556
 
8.5%
Latin
ValueCountFrequency (%)
B 27
56.2%
A 11
22.9%
F 2
 
4.2%
T 2
 
4.2%
S 1
 
2.1%
P 1
 
2.1%
y 1
 
2.1%
C 1
 
2.1%
Y 1
 
2.1%
E 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9590
59.1%
ASCII 6624
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2481
37.5%
1 801
 
12.1%
) 522
 
7.9%
( 522
 
7.9%
2 393
 
5.9%
, 388
 
5.9%
3 313
 
4.7%
0 220
 
3.3%
4 191
 
2.9%
5 189
 
2.9%
Other values (17) 604
 
9.1%
Hangul
ValueCountFrequency (%)
659
 
6.9%
611
 
6.4%
573
 
6.0%
521
 
5.4%
504
 
5.3%
504
 
5.3%
504
 
5.3%
503
 
5.2%
502
 
5.2%
499
 
5.2%
Other values (175) 4210
43.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)47.5%
Missing622
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean5667.7264
Minimum5501
Maximum5855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:59:38.110110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5510
Q15576
median5666
Q35755
95-th percentile5829.4
Maximum5855
Range354
Interquartile range (IQR)179

Descriptive statistics

Standard deviation102.46074
Coefficient of variation (CV)0.018077926
Kurtosis-1.2146943
Mean5667.7264
Median Absolute Deviation (MAD)90
Skewness0.061551712
Sum2816860
Variance10498.203
MonotonicityNot monotonic
2024-05-11T14:59:38.294679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5501 8
 
0.7%
5782 8
 
0.7%
5564 7
 
0.6%
5604 6
 
0.5%
5735 6
 
0.5%
5834 6
 
0.5%
5688 5
 
0.4%
5740 5
 
0.4%
5841 5
 
0.4%
5711 5
 
0.4%
Other values (226) 436
39.0%
(Missing) 622
55.6%
ValueCountFrequency (%)
5501 8
0.7%
5502 1
 
0.1%
5503 4
0.4%
5504 4
0.4%
5507 5
0.4%
5509 1
 
0.1%
5510 3
 
0.3%
5512 1
 
0.1%
5513 2
 
0.2%
5514 2
 
0.2%
ValueCountFrequency (%)
5855 2
 
0.2%
5854 1
 
0.1%
5852 3
0.3%
5841 5
0.4%
5838 2
 
0.2%
5837 4
0.4%
5835 1
 
0.1%
5834 6
0.5%
5831 1
 
0.1%
5829 2
 
0.2%
Distinct718
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T14:59:38.653207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length4.6273458
Min length1

Characters and Unicode

Total characters5178
Distinct characters365
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

Unique550 ?
Unique (%)49.2%

Sample

1st row대흥사
2nd row미미사
3rd row선미사
4th row수경사
5th row폐션사
ValueCountFrequency (%)
백양사 22
 
1.8%
세탁소 20
 
1.6%
현대사 18
 
1.5%
현대세탁 16
 
1.3%
세탁 15
 
1.2%
백조사 13
 
1.1%
명품세탁 11
 
0.9%
서울세탁소 11
 
0.9%
백성사 11
 
0.9%
백양세탁소 10
 
0.8%
Other values (729) 1083
88.0%
2024-05-11T14:59:39.133292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
506
 
9.8%
498
 
9.6%
356
 
6.9%
236
 
4.6%
134
 
2.6%
133
 
2.6%
111
 
2.1%
105
 
2.0%
103
 
2.0%
96
 
1.9%
Other values (355) 2900
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4990
96.4%
Space Separator 111
 
2.1%
Uppercase Letter 31
 
0.6%
Open Punctuation 13
 
0.3%
Close Punctuation 13
 
0.3%
Other Punctuation 9
 
0.2%
Decimal Number 9
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
506
 
10.1%
498
 
10.0%
356
 
7.1%
236
 
4.7%
134
 
2.7%
133
 
2.7%
105
 
2.1%
103
 
2.1%
96
 
1.9%
88
 
1.8%
Other values (329) 2735
54.8%
Uppercase Letter
ValueCountFrequency (%)
I 4
12.9%
S 3
9.7%
Y 3
9.7%
P 3
9.7%
V 3
9.7%
N 3
9.7%
C 2
 
6.5%
E 2
 
6.5%
A 1
 
3.2%
D 1
 
3.2%
Other values (6) 6
19.4%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 3
33.3%
9 1
 
11.1%
4 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
w 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4990
96.4%
Common 155
 
3.0%
Latin 33
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
506
 
10.1%
498
 
10.0%
356
 
7.1%
236
 
4.7%
134
 
2.7%
133
 
2.7%
105
 
2.1%
103
 
2.1%
96
 
1.9%
88
 
1.8%
Other values (329) 2735
54.8%
Latin
ValueCountFrequency (%)
I 4
12.1%
S 3
 
9.1%
Y 3
 
9.1%
P 3
 
9.1%
V 3
 
9.1%
N 3
 
9.1%
C 2
 
6.1%
E 2
 
6.1%
A 1
 
3.0%
D 1
 
3.0%
Other values (8) 8
24.2%
Common
ValueCountFrequency (%)
111
71.6%
( 13
 
8.4%
) 13
 
8.4%
. 9
 
5.8%
1 4
 
2.6%
2 3
 
1.9%
9 1
 
0.6%
4 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4990
96.4%
ASCII 188
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
506
 
10.1%
498
 
10.0%
356
 
7.1%
236
 
4.7%
134
 
2.7%
133
 
2.7%
105
 
2.1%
103
 
2.1%
96
 
1.9%
88
 
1.8%
Other values (329) 2735
54.8%
ASCII
ValueCountFrequency (%)
111
59.0%
( 13
 
6.9%
) 13
 
6.9%
. 9
 
4.8%
I 4
 
2.1%
1 4
 
2.1%
S 3
 
1.6%
Y 3
 
1.6%
P 3
 
1.6%
V 3
 
1.6%
Other values (16) 22
 
11.7%
Distinct531
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum1999-01-12 00:00:00
Maximum2024-04-29 11:24:09
2024-05-11T14:59:39.370357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:39.544566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
I
920 
U
199 

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 920
82.2%
U 199
 
17.8%

Length

2024-05-11T14:59:39.746422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:39.881643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 920
82.2%
u 199
 
17.8%
Distinct153
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T14:59:40.013739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:40.168899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
일반세탁업
1090 
빨래방업
 
14
운동화전문세탁업
 
11
세탁업 기타
 
4

Length

Max length8
Median length5
Mean length5.0205541
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 1090
97.4%
빨래방업 14
 
1.3%
운동화전문세탁업 11
 
1.0%
세탁업 기타 4
 
0.4%

Length

2024-05-11T14:59:40.324952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:40.457657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 1090
97.1%
빨래방업 14
 
1.2%
운동화전문세탁업 11
 
1.0%
세탁업 4
 
0.4%
기타 4
 
0.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct664
Distinct (%)72.4%
Missing202
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean210295.46
Minimum206397.35
Maximum213999.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:59:40.623505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206397.35
5-th percentile207343.98
Q1209087.12
median210347.07
Q3211589.45
95-th percentile213132.54
Maximum213999.96
Range7602.6088
Interquartile range (IQR)2502.3325

Descriptive statistics

Standard deviation1752.1355
Coefficient of variation (CV)0.0083317801
Kurtosis-0.76279627
Mean210295.46
Median Absolute Deviation (MAD)1259.9484
Skewness-0.095538642
Sum1.9284094 × 108
Variance3069978.9
MonotonicityNot monotonic
2024-05-11T14:59:40.765917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210045.748264305 10
 
0.9%
207373.50021477 9
 
0.8%
212403.643733203 6
 
0.5%
207750.499013776 6
 
0.5%
210347.070743819 6
 
0.5%
209394.231297346 5
 
0.4%
209151.713940169 5
 
0.4%
207624.424720682 4
 
0.4%
212025.321408511 4
 
0.4%
210749.224970991 4
 
0.4%
Other values (654) 858
76.7%
(Missing) 202
 
18.1%
ValueCountFrequency (%)
206397.34797252 3
0.3%
206707.093888179 1
 
0.1%
206726.499021996 2
0.2%
206900.84547168 1
 
0.1%
206987.513393855 1
 
0.1%
207043.204125402 2
0.2%
207053.654109318 2
0.2%
207053.964667229 1
 
0.1%
207076.817630991 2
0.2%
207083.380287561 1
 
0.1%
ValueCountFrequency (%)
213999.956783491 1
0.1%
213977.355937651 1
0.1%
213842.444758266 1
0.1%
213836.818937676 1
0.1%
213795.835875629 1
0.1%
213782.231592455 1
0.1%
213744.602496815 1
0.1%
213737.598677036 1
0.1%
213723.168556201 1
0.1%
213721.277258549 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct663
Distinct (%)72.3%
Missing202
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean444680.47
Minimum441212.41
Maximum448601.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:59:40.960726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441212.41
5-th percentile442718.85
Q1443827.9
median444571.17
Q3445307.15
95-th percentile447748.2
Maximum448601.32
Range7388.9156
Interquartile range (IQR)1479.2471

Descriptive statistics

Standard deviation1351.9884
Coefficient of variation (CV)0.0030403592
Kurtosis0.88621558
Mean444680.47
Median Absolute Deviation (MAD)740.76194
Skewness0.6633571
Sum4.0777199 × 108
Variance1827872.6
MonotonicityNot monotonic
2024-05-11T14:59:41.130744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442930.687284628 10
 
0.9%
445545.656024061 9
 
0.8%
445762.808120998 6
 
0.5%
443830.404153393 6
 
0.5%
443417.837902915 6
 
0.5%
446519.612162961 5
 
0.4%
443951.236927017 5
 
0.4%
443692.098843009 4
 
0.4%
445161.258714865 4
 
0.4%
444006.154467815 4
 
0.4%
Other values (653) 858
76.7%
(Missing) 202
 
18.1%
ValueCountFrequency (%)
441212.408998846 2
0.2%
441406.981434166 1
0.1%
441412.0 1
0.1%
441632.0 1
0.1%
441716.229439967 2
0.2%
441725.293491662 1
0.1%
441892.362032579 1
0.1%
441971.271264751 1
0.1%
441996.227705236 1
0.1%
442026.988783 1
0.1%
ValueCountFrequency (%)
448601.324644324 1
0.1%
448582.563016573 1
0.1%
448556.908326858 1
0.1%
448545.458322927 1
0.1%
448533.609644264 1
0.1%
448427.153396127 1
0.1%
448420.929780233 2
0.2%
448420.331101252 1
0.1%
448400.509865466 1
0.1%
448384.026869812 1
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
일반세탁업
1038 
<NA>
 
54
빨래방업
 
13
운동화전문세탁업
 
10
세탁업 기타
 
4

Length

Max length8
Median length5
Mean length4.9705094
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 1038
92.8%
<NA> 54
 
4.8%
빨래방업 13
 
1.2%
운동화전문세탁업 10
 
0.9%
세탁업 기타 4
 
0.4%

Length

2024-05-11T14:59:41.582290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:41.733185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 1038
92.4%
na 54
 
4.8%
빨래방업 13
 
1.2%
운동화전문세탁업 10
 
0.9%
세탁업 4
 
0.4%
기타 4
 
0.4%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)2.5%
Missing643
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean0.85294118
Minimum0
Maximum46
Zeros383
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:59:41.843064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4900478
Coefficient of variation (CV)4.0917801
Kurtosis120.13376
Mean0.85294118
Median Absolute Deviation (MAD)0
Skewness9.9616339
Sum406
Variance12.180433
MonotonicityNot monotonic
2024-05-11T14:59:41.971788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 383
34.2%
4 25
 
2.2%
1 21
 
1.9%
3 16
 
1.4%
2 14
 
1.3%
5 10
 
0.9%
46 2
 
0.2%
6 1
 
0.1%
10 1
 
0.1%
21 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 643
57.5%
ValueCountFrequency (%)
0 383
34.2%
1 21
 
1.9%
2 14
 
1.3%
3 16
 
1.4%
4 25
 
2.2%
5 10
 
0.9%
6 1
 
0.1%
10 1
 
0.1%
14 1
 
0.1%
16 1
 
0.1%
ValueCountFrequency (%)
46 2
 
0.2%
21 1
 
0.1%
16 1
 
0.1%
14 1
 
0.1%
10 1
 
0.1%
6 1
 
0.1%
5 10
 
0.9%
4 25
2.2%
3 16
1.4%
2 14
1.3%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.3%
Missing674
Missing (%)60.2%
Infinite0
Infinite (%)0.0%
Mean0.14606742
Minimum0
Maximum6
Zeros405
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:59:42.123533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6287153
Coefficient of variation (CV)4.3042816
Kurtosis46.14345
Mean0.14606742
Median Absolute Deviation (MAD)0
Skewness6.3789208
Sum65
Variance0.39528292
MonotonicityNot monotonic
2024-05-11T14:59:42.234119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 405
36.2%
1 33
 
2.9%
5 3
 
0.3%
4 2
 
0.2%
3 1
 
0.1%
6 1
 
0.1%
(Missing) 674
60.2%
ValueCountFrequency (%)
0 405
36.2%
1 33
 
2.9%
3 1
 
0.1%
4 2
 
0.2%
5 3
 
0.3%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 3
 
0.3%
4 2
 
0.2%
3 1
 
0.1%
1 33
 
2.9%
0 405
36.2%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.6%
Missing684
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean0.57931034
Minimum0
Maximum9
Zeros244
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:59:42.369095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.85869609
Coefficient of variation (CV)1.482273
Kurtosis24.370487
Mean0.57931034
Median Absolute Deviation (MAD)0
Skewness3.4046094
Sum252
Variance0.73735897
MonotonicityNot monotonic
2024-05-11T14:59:42.499077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 244
 
21.8%
1 148
 
13.2%
2 35
 
3.1%
3 5
 
0.4%
4 1
 
0.1%
9 1
 
0.1%
6 1
 
0.1%
(Missing) 684
61.1%
ValueCountFrequency (%)
0 244
21.8%
1 148
13.2%
2 35
 
3.1%
3 5
 
0.4%
4 1
 
0.1%
6 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
6 1
 
0.1%
4 1
 
0.1%
3 5
 
0.4%
2 35
 
3.1%
1 148
13.2%
0 244
21.8%

사용끝지상층
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)3.6%
Missing925
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean1.257732
Minimum0
Maximum9
Zeros10
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:59:42.619935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q11
median1
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8789814
Coefficient of variation (CV)0.69886226
Kurtosis34.895967
Mean1.257732
Median Absolute Deviation (MAD)0
Skewness4.6978137
Sum244
Variance0.7726083
MonotonicityNot monotonic
2024-05-11T14:59:42.763748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 142
 
12.7%
2 34
 
3.0%
0 10
 
0.9%
3 5
 
0.4%
4 1
 
0.1%
9 1
 
0.1%
6 1
 
0.1%
(Missing) 925
82.7%
ValueCountFrequency (%)
0 10
 
0.9%
1 142
12.7%
2 34
 
3.0%
3 5
 
0.4%
4 1
 
0.1%
6 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
6 1
 
0.1%
4 1
 
0.1%
3 5
 
0.4%
2 34
 
3.0%
1 142
12.7%
0 10
 
0.9%

사용시작지하층
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
833 
0
252 
1
 
32
2
 
1
11
 
1

Length

Max length4
Median length4
Mean length3.2341376
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 833
74.4%
0 252
 
22.5%
1 32
 
2.9%
2 1
 
0.1%
11 1
 
0.1%

Length

2024-05-11T14:59:42.927336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:43.107731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 833
74.4%
0 252
 
22.5%
1 32
 
2.9%
2 1
 
0.1%
11 1
 
0.1%

사용끝지하층
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
1070 
1
 
31
0
 
18

Length

Max length4
Median length4
Mean length3.8686327
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> 1070
95.6%
1 31
 
2.8%
0 18
 
1.6%

Length

2024-05-11T14:59:43.299392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:43.447790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1070
95.6%
1 31
 
2.8%
0 18
 
1.6%

한실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
711 
0
408 

Length

Max length4
Median length4
Mean length2.9061662
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 711
63.5%
0 408
36.5%

Length

2024-05-11T14:59:43.575491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:43.691377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 711
63.5%
0 408
36.5%

양실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
711 
0
408 

Length

Max length4
Median length4
Mean length2.9061662
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 711
63.5%
0 408
36.5%

Length

2024-05-11T14:59:43.808438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:43.931180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 711
63.5%
0 408
36.5%

욕실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
711 
0
408 

Length

Max length4
Median length4
Mean length2.9061662
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 711
63.5%
0 408
36.5%

Length

2024-05-11T14:59:44.084220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:44.209736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 711
63.5%
0 408
36.5%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing73
Missing (%)6.5%
Memory size2.3 KiB
False
1046 
(Missing)
 
73
ValueCountFrequency (%)
False 1046
93.5%
(Missing) 73
 
6.5%
2024-05-11T14:59:44.337758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
711 
0
408 

Length

Max length4
Median length4
Mean length2.9061662
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 711
63.5%
0 408
36.5%

Length

2024-05-11T14:59:44.452665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:44.592204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 711
63.5%
0 408
36.5%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1119
Missing (%)100.0%
Memory size10.0 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1119
Missing (%)100.0%
Memory size10.0 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1119
Missing (%)100.0%
Memory size10.0 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
984 
임대
132 
자가
 
3

Length

Max length4
Median length4
Mean length3.7587131
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> 984
87.9%
임대 132
 
11.8%
자가 3
 
0.3%

Length

2024-05-11T14:59:44.728531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:44.855754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 984
87.9%
임대 132
 
11.8%
자가 3
 
0.3%

세탁기수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)2.9%
Missing913
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean1.7135922
Minimum0
Maximum6
Zeros10
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:59:44.984263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0219588
Coefficient of variation (CV)0.59638387
Kurtosis0.9132052
Mean1.7135922
Median Absolute Deviation (MAD)1
Skewness0.93133651
Sum353
Variance1.0443997
MonotonicityNot monotonic
2024-05-11T14:59:45.144206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 97
 
8.7%
2 56
 
5.0%
3 30
 
2.7%
4 12
 
1.1%
0 10
 
0.9%
6 1
 
0.1%
(Missing) 913
81.6%
ValueCountFrequency (%)
0 10
 
0.9%
1 97
8.7%
2 56
5.0%
3 30
 
2.7%
4 12
 
1.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 12
 
1.1%
3 30
 
2.7%
2 56
5.0%
1 97
8.7%
0 10
 
0.9%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
1059 
0
 
60

Length

Max length4
Median length4
Mean length3.8391421
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> 1059
94.6%
0 60
 
5.4%

Length

2024-05-11T14:59:45.312945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:45.444157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1059
94.6%
0 60
 
5.4%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
1059 
0
 
59
2
 
1

Length

Max length4
Median length4
Mean length3.8391421
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1059
94.6%
0 59
 
5.3%
2 1
 
0.1%

Length

2024-05-11T14:59:45.584842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:45.723768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1059
94.6%
0 59
 
5.3%
2 1
 
0.1%

회수건조수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)4.3%
Missing979
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean1.4571429
Minimum0
Maximum8
Zeros19
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:59:45.841320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2313146
Coefficient of variation (CV)0.84501983
Kurtosis5.1621704
Mean1.4571429
Median Absolute Deviation (MAD)0
Skewness1.8124941
Sum204
Variance1.5161357
MonotonicityNot monotonic
2024-05-11T14:59:45.989982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 79
 
7.1%
0 19
 
1.7%
2 19
 
1.7%
4 13
 
1.2%
3 9
 
0.8%
8 1
 
0.1%
(Missing) 979
87.5%
ValueCountFrequency (%)
0 19
 
1.7%
1 79
7.1%
2 19
 
1.7%
3 9
 
0.8%
4 13
 
1.2%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
4 13
 
1.2%
3 9
 
0.8%
2 19
 
1.7%
1 79
7.1%
0 19
 
1.7%

침대수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
<NA>
991 
0
128 

Length

Max length4
Median length4
Mean length3.6568365
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> 991
88.6%
0 128
 
11.4%

Length

2024-05-11T14:59:46.160136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:46.285356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 991
88.6%
0 128
 
11.4%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing54
Missing (%)4.8%
Memory size2.3 KiB
False
1065 
(Missing)
 
54
ValueCountFrequency (%)
False 1065
95.2%
(Missing) 54
 
4.8%
2024-05-11T14:59:46.405877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
032300003230000-205-1987-0270520030227<NA>1영업/정상1영업<NA><NA><NA><NA>0204173726.00138840서울특별시 송파구 삼전동 126-0번지서울특별시 송파구 백제고분로31길 32 (삼전동)5602대흥사2005-07-20 00:00:00I2018-08-31 23:59:59.0일반세탁업208407.373719444806.128723일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
132300003230000-205-1987-0270619871231<NA>3폐업2폐업20030226<NA><NA><NA>02 4014506.00138050서울특별시 송파구 방이동 390-6번지 가락1차153브럭1호<NA><NA>미미사2003-04-02 00:00:00I2018-08-31 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
232300003230000-205-1987-0271319871224<NA>3폐업2폐업20010127<NA><NA><NA>0204079279.00138823서울특별시 송파구 문정동 1번지 문정상가 201호<NA><NA>선미사2003-01-06 00:00:00I2018-08-31 23:59:59.0일반세탁업211453.050927443165.755656일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
332300003230000-205-1987-0273320030227<NA>3폐업2폐업20120912<NA><NA><NA>0204157761.00138837서울특별시 송파구 삼전동 13-7번지 지상1층<NA><NA>수경사2005-07-21 00:00:00I2018-08-31 23:59:59.0일반세탁업207934.608331444807.498919일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
432300003230000-205-1987-0273419871126<NA>3폐업2폐업19970804<NA><NA><NA>02 407202016.25138210서울특별시 송파구 장지동 산 203-19번지<NA><NA>폐션사2002-09-04 00:00:00I2018-08-31 23:59:59.0일반세탁업<NA><NA>일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
532300003230000-205-1987-0273519871214<NA>3폐업2폐업20030226<NA><NA><NA>02 4154262.00138050서울특별시 송파구 방이동 353-12번지<NA><NA>대림세탁소2003-04-02 00:00:00I2018-08-31 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
632300003230000-205-1987-0273619871214<NA>3폐업2폐업19950214<NA><NA><NA>0204086228.00138210서울특별시 송파구 장지동 산 137-2번지<NA><NA>선미사2002-09-04 00:00:00I2018-08-31 23:59:59.0일반세탁업<NA><NA>일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
732300003230000-205-1987-0275420030227<NA>3폐업2폐업20030722<NA><NA><NA>0204174973.00138849서울특별시 송파구 송파동 52-15번지<NA><NA>장미사2003-06-12 00:00:00I2018-08-31 23:59:59.0일반세탁업209628.140301445299.581488일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
832300003230000-205-1987-0275520030227<NA>3폐업2폐업20201214<NA><NA><NA>0204131888.00138867서울특별시 송파구 잠실동 321-10서울특별시 송파구 백제고분로18길 18 (잠실동)5576우성현대사2020-12-14 11:34:06U2020-12-16 02:40:00.0일반세탁업207369.144336444604.989853일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
932300003230000-205-1987-0275619870908<NA>3폐업2폐업20030226<NA><NA><NA>02 4006184.00138850서울특별시 송파구 송파동 95-5번지<NA><NA>충남사2003-05-06 00:00:00I2018-08-31 23:59:59.0일반세탁업209706.493799444614.290082일반세탁업<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
110932300003230000-205-2021-000042021-09-02<NA>3폐업2폐업2024-03-11<NA><NA><NA><NA>214.62138-847서울특별시 송파구 석촌동 297-26서울특별시 송파구 송파대로37길 22, 지하1층,1층 (석촌동)5697청춘세탁 송파헬리오시티점2024-03-11 17:18:52U2023-12-02 23:03:00.0일반세탁업209651.977289444313.854749<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
111032300003230000-205-2021-0000520211208<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.00138820서울특별시 송파구 마천동 190-27서울특별시 송파구 마천로51길 40, 1층 2호 (마천동)5758운동화 이불 빠는 날2021-12-08 15:11:20I2021-12-10 00:22:42.0운동화전문세탁업213523.631762443884.077304운동화전문세탁업000000000N0<NA><NA><NA><NA>10010N
111132300003230000-205-2021-0000620211210<NA>1영업/정상1영업<NA><NA><NA><NA><NA>69.75138842서울특별시 송파구 석촌동 13-13서울특별시 송파구 삼학사로14길 14-1, 101호,102호 (석촌동)5613크린홈2021-12-10 16:24:55I2021-12-12 00:22:53.0일반세탁업208648.435933444561.035153일반세탁업001100000N0<NA><NA><NA>임대30020N
111232300003230000-205-2022-000012022-06-02<NA>3폐업2폐업2024-04-29<NA><NA><NA><NA>15.20138-753서울특별시 송파구 가락동 96-1 가락우성아파트서울특별시 송파구 송파대로32길 8, 1층 6호 (가락동, 가락우성아파트)5711우성명품세탁2024-04-29 11:24:09U2023-12-05 00:01:00.0일반세탁업210347.070744443830.404153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
111332300003230000-205-2022-0000220220822<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.10138845서울특별시 송파구 석촌동 245-4서울특별시 송파구 가락로5길 33, 1층 101호 (석촌동)5680럭키 세탁소2022-08-22 10:02:32I2021-12-07 22:04:00.0일반세탁업208853.600353444458.036692<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
111432300003230000-205-2022-0000320220826<NA>1영업/정상1영업<NA><NA><NA><NA><NA>28.26138160서울특별시 송파구 가락동 913 헬리오시티서울특별시 송파구 송파대로 345, 그린생활시설 1B동 지하1층 155호 (가락동, 헬리오시티)5698헬리오 명품세탁소2022-08-26 11:13:54I2021-12-07 22:08:00.0일반세탁업209416.46996444027.495849<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
111532300003230000-205-2022-0000420221205<NA>1영업/정상1영업<NA><NA><NA><NA><NA>16.65138816서울특별시 송파구 거여동 362 현대아파트서울특별시 송파구 오금로54길 10, 103, 104호 (거여동, 현대아파트)5771현대세탁소2022-12-05 14:03:55I2021-11-02 00:07:00.0일반세탁업212403.643733443417.837903<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
111632300003230000-205-2024-000012024-01-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.00138-200서울특별시 송파구 문정동 145 문정시영아파트상가서울특별시 송파구 송이로31길 52, 문정시영아파트상가 1층 107호 (문정동)5786현대 명품 세탁2024-01-17 16:37:24I2023-11-30 22:00:00.0일반세탁업211908.776683443163.745016<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
111732300003230000-205-2024-000022024-01-17<NA>1영업/정상1영업<NA><NA><NA><NA>02 424 125582.00138-851서울특별시 송파구 송파동 113-2 송파여성문화회관서울특별시 송파구 백제고분로42길 5, 송파여성문화회관 4층 (송파동)5666송파시니어클럽 버블세탁소2024-01-22 14:49:10U2023-11-30 22:04:00.0일반세탁업209636.916609444858.989436<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
111832300003230000-205-2024-000032024-04-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>34.56138-925서울특별시 송파구 장지동 856 송파파인타운10단지서울특별시 송파구 송파대로8길 20, 202호 (장지동, 송파파인타운10단지)5813파인항균세탁2024-04-01 13:08:51I2023-12-04 00:03:00.0일반세탁업211474.833459441716.22944<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>