Overview

Dataset statistics

Number of variables47
Number of observations465
Missing cells5024
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory183.6 KiB
Average record size in memory404.3 B

Variable types

Categorical20
Text7
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-19278/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
사용시작지하층 is highly imbalanced (56.5%)Imbalance
사용끝지하층 is highly imbalanced (66.8%)Imbalance
여성종사자수 is highly imbalanced (70.1%)Imbalance
남성종사자수 is highly imbalanced (70.1%)Imbalance
인허가취소일자 has 465 (100.0%) missing valuesMissing
폐업일자 has 144 (31.0%) missing valuesMissing
휴업시작일자 has 465 (100.0%) missing valuesMissing
휴업종료일자 has 465 (100.0%) missing valuesMissing
재개업일자 has 465 (100.0%) missing valuesMissing
전화번호 has 87 (18.7%) missing valuesMissing
도로명주소 has 183 (39.4%) missing valuesMissing
도로명우편번호 has 188 (40.4%) missing valuesMissing
좌표정보(X) has 74 (15.9%) missing valuesMissing
좌표정보(Y) has 74 (15.9%) missing valuesMissing
건물지상층수 has 177 (38.1%) missing valuesMissing
건물지하층수 has 209 (44.9%) missing valuesMissing
사용시작지상층 has 230 (49.5%) missing valuesMissing
사용끝지상층 has 250 (53.8%) missing valuesMissing
발한실여부 has 84 (18.1%) missing valuesMissing
조건부허가신고사유 has 465 (100.0%) missing valuesMissing
조건부허가시작일자 has 465 (100.0%) missing valuesMissing
조건부허가종료일자 has 465 (100.0%) missing valuesMissing
다중이용업소여부 has 69 (14.8%) 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 213 (45.8%) zerosZeros
건물지하층수 has 225 (48.4%) zerosZeros
사용시작지상층 has 51 (11.0%) zerosZeros
사용끝지상층 has 20 (4.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:08:18.296896
Analysis finished2024-05-11 06:08:19.780797
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
3010000
465 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 465
100.0%

Length

2024-05-11T15:08:19.949558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:20.116686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 465
100.0%

관리번호
Text

UNIQUE 

Distinct465
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T15:08:20.379256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters10230
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

Unique465 ?
Unique (%)100.0%

Sample

1st row3010000-206-1987-01733
2nd row3010000-206-1987-01734
3rd row3010000-206-1987-01735
4th row3010000-206-1987-01736
5th row3010000-206-1987-01737
ValueCountFrequency (%)
3010000-206-1987-01733 1
 
0.2%
3010000-206-2010-00020 1
 
0.2%
3010000-206-2011-00010 1
 
0.2%
3010000-206-2011-00009 1
 
0.2%
3010000-206-2011-00008 1
 
0.2%
3010000-206-2011-00007 1
 
0.2%
3010000-206-2011-00006 1
 
0.2%
3010000-206-2011-00005 1
 
0.2%
3010000-206-2011-00004 1
 
0.2%
3010000-206-2011-00003 1
 
0.2%
Other values (455) 455
97.8%
2024-05-11T15:08:20.913342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4805
47.0%
- 1395
 
13.6%
1 1025
 
10.0%
2 1014
 
9.9%
3 616
 
6.0%
6 567
 
5.5%
9 297
 
2.9%
7 206
 
2.0%
8 110
 
1.1%
4 98
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8835
86.4%
Dash Punctuation 1395
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4805
54.4%
1 1025
 
11.6%
2 1014
 
11.5%
3 616
 
7.0%
6 567
 
6.4%
9 297
 
3.4%
7 206
 
2.3%
8 110
 
1.2%
4 98
 
1.1%
5 97
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 1395
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4805
47.0%
- 1395
 
13.6%
1 1025
 
10.0%
2 1014
 
9.9%
3 616
 
6.0%
6 567
 
5.5%
9 297
 
2.9%
7 206
 
2.0%
8 110
 
1.1%
4 98
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4805
47.0%
- 1395
 
13.6%
1 1025
 
10.0%
2 1014
 
9.9%
3 616
 
6.0%
6 567
 
5.5%
9 297
 
2.9%
7 206
 
2.0%
8 110
 
1.1%
4 98
 
1.0%

인허가일자
Date

Distinct415
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum1987-06-01 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T15:08:21.179393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:21.463603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing465
Missing (%)100.0%
Memory size4.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
3
321 
1
144 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 321
69.0%
1 144
31.0%

Length

2024-05-11T15:08:21.708783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:21.878006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 321
69.0%
1 144
31.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
폐업
321 
영업/정상
144 

Length

Max length5
Median length2
Mean length2.9290323
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 321
69.0%
영업/정상 144
31.0%

Length

2024-05-11T15:08:22.203191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:22.354511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 321
69.0%
영업/정상 144
31.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2
321 
1
144 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 321
69.0%
1 144
31.0%

Length

2024-05-11T15:08:22.495611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:22.655609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 321
69.0%
1 144
31.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
폐업
321 
영업
144 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 321
69.0%
영업 144
31.0%

Length

2024-05-11T15:08:22.813514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:22.949898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 321
69.0%
영업 144
31.0%

폐업일자
Date

MISSING 

Distinct256
Distinct (%)79.8%
Missing144
Missing (%)31.0%
Memory size3.8 KiB
Minimum1993-05-31 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T15:08:23.130887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:23.393404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing465
Missing (%)100.0%
Memory size4.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing465
Missing (%)100.0%
Memory size4.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing465
Missing (%)100.0%
Memory size4.2 KiB

전화번호
Text

MISSING 

Distinct373
Distinct (%)98.7%
Missing87
Missing (%)18.7%
Memory size3.8 KiB
2024-05-11T15:08:23.848506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.34127
Min length2

Characters and Unicode

Total characters3909
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

Unique368 ?
Unique (%)97.4%

Sample

1st row0202751370
2nd row02 7786885
3rd row7298880
4th row0207767982
5th row02 7569091
ValueCountFrequency (%)
02 194
31.2%
776 3
 
0.5%
318 2
 
0.3%
7301973 2
 
0.3%
070 2
 
0.3%
755 2
 
0.3%
734 2
 
0.3%
63662533 2
 
0.3%
5582 2
 
0.3%
775 2
 
0.3%
Other values (401) 409
65.8%
2024-05-11T15:08:24.581526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 903
23.1%
0 616
15.8%
7 418
10.7%
363
9.3%
3 305
 
7.8%
1 258
 
6.6%
6 234
 
6.0%
5 229
 
5.9%
8 220
 
5.6%
4 187
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3546
90.7%
Space Separator 363
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 903
25.5%
0 616
17.4%
7 418
11.8%
3 305
 
8.6%
1 258
 
7.3%
6 234
 
6.6%
5 229
 
6.5%
8 220
 
6.2%
4 187
 
5.3%
9 176
 
5.0%
Space Separator
ValueCountFrequency (%)
363
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3909
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 903
23.1%
0 616
15.8%
7 418
10.7%
363
9.3%
3 305
 
7.8%
1 258
 
6.6%
6 234
 
6.0%
5 229
 
5.9%
8 220
 
5.6%
4 187
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 903
23.1%
0 616
15.8%
7 418
10.7%
363
9.3%
3 305
 
7.8%
1 258
 
6.6%
6 234
 
6.0%
5 229
 
5.9%
8 220
 
5.6%
4 187
 
4.8%

소재지면적
Text

Distinct296
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T15:08:25.430575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.1354839
Min length3

Characters and Unicode

Total characters2388
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

Unique246 ?
Unique (%)52.9%

Sample

1st row59.38
2nd row.00
3rd row181.26
4th row56.26
5th row930.48
ValueCountFrequency (%)
00 49
 
10.5%
66.00 19
 
4.1%
33.00 13
 
2.8%
99.00 6
 
1.3%
16.50 6
 
1.3%
26.40 6
 
1.3%
50.00 6
 
1.3%
3.30 6
 
1.3%
10.00 5
 
1.1%
30.00 5
 
1.1%
Other values (286) 344
74.0%
2024-05-11T15:08:26.192477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 606
25.4%
. 465
19.5%
1 207
 
8.7%
3 169
 
7.1%
6 168
 
7.0%
2 147
 
6.2%
5 139
 
5.8%
4 137
 
5.7%
9 136
 
5.7%
7 103
 
4.3%
Other values (2) 111
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1908
79.9%
Other Punctuation 480
 
20.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 606
31.8%
1 207
 
10.8%
3 169
 
8.9%
6 168
 
8.8%
2 147
 
7.7%
5 139
 
7.3%
4 137
 
7.2%
9 136
 
7.1%
7 103
 
5.4%
8 96
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 465
96.9%
, 15
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2388
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 606
25.4%
. 465
19.5%
1 207
 
8.7%
3 169
 
7.1%
6 168
 
7.0%
2 147
 
6.2%
5 139
 
5.8%
4 137
 
5.7%
9 136
 
5.7%
7 103
 
4.3%
Other values (2) 111
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2388
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 606
25.4%
. 465
19.5%
1 207
 
8.7%
3 169
 
7.1%
6 168
 
7.0%
2 147
 
6.2%
5 139
 
5.8%
4 137
 
5.7%
9 136
 
5.7%
7 103
 
4.3%
Other values (2) 111
 
4.6%

소재지우편번호
Text

Distinct157
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T15:08:26.905969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0967742
Min length6

Characters and Unicode

Total characters2835
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

Unique64 ?
Unique (%)13.8%

Sample

1st row100194
2nd row100051
3rd row100180
4th row100012
5th row100110
ValueCountFrequency (%)
100450 16
 
3.4%
100826 13
 
2.8%
100391 11
 
2.4%
100861 11
 
2.4%
100828 11
 
2.4%
100080 10
 
2.2%
100180 10
 
2.2%
100272 9
 
1.9%
100013 9
 
1.9%
100310 9
 
1.9%
Other values (147) 356
76.6%
2024-05-11T15:08:27.798357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1177
41.5%
1 694
24.5%
8 245
 
8.6%
2 147
 
5.2%
4 116
 
4.1%
3 99
 
3.5%
5 86
 
3.0%
9 83
 
2.9%
6 75
 
2.6%
7 68
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2790
98.4%
Dash Punctuation 45
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1177
42.2%
1 694
24.9%
8 245
 
8.8%
2 147
 
5.3%
4 116
 
4.2%
3 99
 
3.5%
5 86
 
3.1%
9 83
 
3.0%
6 75
 
2.7%
7 68
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1177
41.5%
1 694
24.5%
8 245
 
8.6%
2 147
 
5.2%
4 116
 
4.1%
3 99
 
3.5%
5 86
 
3.0%
9 83
 
2.9%
6 75
 
2.6%
7 68
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1177
41.5%
1 694
24.5%
8 245
 
8.6%
2 147
 
5.2%
4 116
 
4.1%
3 99
 
3.5%
5 86
 
3.0%
9 83
 
2.9%
6 75
 
2.6%
7 68
 
2.4%

지번주소
Text

Distinct448
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T15:08:28.274935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length25.372043
Min length14

Characters and Unicode

Total characters11798
Distinct characters258
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

Unique433 ?
Unique (%)93.1%

Sample

1st row서울특별시 중구 을지로4가 310-68
2nd row서울특별시 중구 회현동1가 194-15
3rd row서울특별시 중구 다동 70
4th row서울특별시 중구 충무로2가 60-3
5th row서울특별시 중구 서소문동 75-0
ValueCountFrequency (%)
서울특별시 464
 
19.0%
중구 463
 
19.0%
신당동 92
 
3.8%
4층 26
 
1.1%
3층 20
 
0.8%
충무로2가 16
 
0.7%
서소문동 16
 
0.7%
을지로2가 16
 
0.7%
을지로6가 15
 
0.6%
1층 14
 
0.6%
Other values (738) 1299
53.2%
2024-05-11T15:08:28.935568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2353
19.9%
1 593
 
5.0%
서 490
 
4.2%
시 475
 
4.0%
중 474
 
4.0%
울 470
 
4.0%
별 470
 
4.0%
구 469
 
4.0%
특 464
 
3.9%
2 417
 
3.5%
Other values (248) 5123
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6370
54.0%
Decimal Number 2604
22.1%
Space Separator 2353
 
19.9%
Dash Punctuation 374
 
3.2%
Uppercase Letter 46
 
0.4%
Close Punctuation 16
 
0.1%
Open Punctuation 16
 
0.1%
Other Punctuation 16
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 490
 
7.7%
시 475
 
7.5%
중 474
 
7.4%
울 470
 
7.4%
별 470
 
7.4%
구 469
 
7.4%
특 464
 
7.3%
동 364
 
5.7%
가 236
 
3.7%
빌 179
 
2.8%
Other values (211) 2279
35.8%
Uppercase Letter
ValueCountFrequency (%)
B 13
28.3%
F 5
 
10.9%
A 5
 
10.9%
D 3
 
6.5%
R 3
 
6.5%
M 2
 
4.3%
T 2
 
4.3%
W 2
 
4.3%
E 2
 
4.3%
C 2
 
4.3%
Other values (7) 7
15.2%
Decimal Number
ValueCountFrequency (%)
1 593
22.8%
2 417
16.0%
3 350
13.4%
0 301
11.6%
5 239
9.2%
4 210
 
8.1%
6 174
 
6.7%
7 118
 
4.5%
9 105
 
4.0%
8 97
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 11
68.8%
/ 3
 
18.8%
. 1
 
6.2%
& 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
2353
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 374
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6370
54.0%
Common 5379
45.6%
Latin 49
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 490
 
7.7%
시 475
 
7.5%
중 474
 
7.4%
울 470
 
7.4%
별 470
 
7.4%
구 469
 
7.4%
특 464
 
7.3%
동 364
 
5.7%
가 236
 
3.7%
빌 179
 
2.8%
Other values (211) 2279
35.8%
Latin
ValueCountFrequency (%)
B 13
26.5%
F 5
 
10.2%
A 5
 
10.2%
D 3
 
6.1%
R 3
 
6.1%
M 2
 
4.1%
T 2
 
4.1%
c 2
 
4.1%
W 2
 
4.1%
E 2
 
4.1%
Other values (9) 10
20.4%
Common
ValueCountFrequency (%)
2353
43.7%
1 593
 
11.0%
2 417
 
7.8%
- 374
 
7.0%
3 350
 
6.5%
0 301
 
5.6%
5 239
 
4.4%
4 210
 
3.9%
6 174
 
3.2%
7 118
 
2.2%
Other values (8) 250
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6370
54.0%
ASCII 5428
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2353
43.3%
1 593
 
10.9%
2 417
 
7.7%
- 374
 
6.9%
3 350
 
6.4%
0 301
 
5.5%
5 239
 
4.4%
4 210
 
3.9%
6 174
 
3.2%
7 118
 
2.2%
Other values (27) 299
 
5.5%
Hangul
ValueCountFrequency (%)
서 490
 
7.7%
시 475
 
7.5%
중 474
 
7.4%
울 470
 
7.4%
별 470
 
7.4%
구 469
 
7.4%
특 464
 
7.3%
동 364
 
5.7%
가 236
 
3.7%
빌 179
 
2.8%
Other values (211) 2279
35.8%

도로명주소
Text

MISSING 

Distinct272
Distinct (%)96.5%
Missing183
Missing (%)39.4%
Memory size3.8 KiB
2024-05-11T15:08:29.461219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length41
Mean length33.365248
Min length22

Characters and Unicode

Total characters9409
Distinct characters243
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

Unique264 ?
Unique (%)93.6%

Sample

1st row서울특별시 중구 다동길 43, 8층 (다동)
2nd row서울특별시 중구 을지로14길 8 (을지로3가)
3rd row서울특별시 중구 남대문로 92 (남대문로2가)
4th row서울특별시 중구 남대문로1길 30 (북창동,삼양빌딩 7F 301호)
5th row서울특별시 중구 퇴계로 36 (남창동,삼선빌딩 1605-1호)
ValueCountFrequency (%)
서울특별시 281
 
15.1%
중구 280
 
15.1%
신당동 42
 
2.3%
4층 25
 
1.3%
3층 23
 
1.2%
퇴계로 23
 
1.2%
을지로 17
 
0.9%
1층 17
 
0.9%
동호로 15
 
0.8%
2층 14
 
0.8%
Other values (615) 1123
60.4%
2024-05-11T15:08:30.112754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1580
 
16.8%
1 358
 
3.8%
로 357
 
3.8%
, 314
 
3.3%
서 310
 
3.3%
시 292
 
3.1%
( 291
 
3.1%
) 291
 
3.1%
중 290
 
3.1%
울 287
 
3.1%
Other values (233) 5039
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5194
55.2%
Decimal Number 1675
 
17.8%
Space Separator 1580
 
16.8%
Other Punctuation 317
 
3.4%
Open Punctuation 291
 
3.1%
Close Punctuation 291
 
3.1%
Uppercase Letter 31
 
0.3%
Dash Punctuation 30
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 357
 
6.9%
서 310
 
6.0%
시 292
 
5.6%
중 290
 
5.6%
울 287
 
5.5%
별 286
 
5.5%
구 285
 
5.5%
특 281
 
5.4%
동 270
 
5.2%
층 190
 
3.7%
Other values (202) 2346
45.2%
Uppercase Letter
ValueCountFrequency (%)
B 13
41.9%
A 4
 
12.9%
F 3
 
9.7%
C 2
 
6.5%
T 1
 
3.2%
K 1
 
3.2%
W 1
 
3.2%
Y 1
 
3.2%
G 1
 
3.2%
M 1
 
3.2%
Other values (3) 3
 
9.7%
Decimal Number
ValueCountFrequency (%)
1 358
21.4%
2 278
16.6%
0 238
14.2%
3 191
11.4%
4 145
8.7%
5 128
 
7.6%
6 119
 
7.1%
7 85
 
5.1%
9 69
 
4.1%
8 64
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 314
99.1%
. 1
 
0.3%
& 1
 
0.3%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1580
100.0%
Open Punctuation
ValueCountFrequency (%)
( 291
100.0%
Close Punctuation
ValueCountFrequency (%)
) 291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5194
55.2%
Common 4184
44.5%
Latin 31
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 357
 
6.9%
서 310
 
6.0%
시 292
 
5.6%
중 290
 
5.6%
울 287
 
5.5%
별 286
 
5.5%
구 285
 
5.5%
특 281
 
5.4%
동 270
 
5.2%
층 190
 
3.7%
Other values (202) 2346
45.2%
Common
ValueCountFrequency (%)
1580
37.8%
1 358
 
8.6%
, 314
 
7.5%
( 291
 
7.0%
) 291
 
7.0%
2 278
 
6.6%
0 238
 
5.7%
3 191
 
4.6%
4 145
 
3.5%
5 128
 
3.1%
Other values (8) 370
 
8.8%
Latin
ValueCountFrequency (%)
B 13
41.9%
A 4
 
12.9%
F 3
 
9.7%
C 2
 
6.5%
T 1
 
3.2%
K 1
 
3.2%
W 1
 
3.2%
Y 1
 
3.2%
G 1
 
3.2%
M 1
 
3.2%
Other values (3) 3
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5194
55.2%
ASCII 4215
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1580
37.5%
1 358
 
8.5%
, 314
 
7.4%
( 291
 
6.9%
) 291
 
6.9%
2 278
 
6.6%
0 238
 
5.6%
3 191
 
4.5%
4 145
 
3.4%
5 128
 
3.0%
Other values (21) 401
 
9.5%
Hangul
ValueCountFrequency (%)
로 357
 
6.9%
서 310
 
6.0%
시 292
 
5.6%
중 290
 
5.6%
울 287
 
5.5%
별 286
 
5.5%
구 285
 
5.5%
특 281
 
5.4%
동 270
 
5.2%
층 190
 
3.7%
Other values (202) 2346
45.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)35.0%
Missing188
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean4616.361
Minimum4501
Maximum17154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:08:30.337764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4501
5-th percentile4512.8
Q14529
median4554
Q34596
95-th percentile4627
Maximum17154
Range12653
Interquartile range (IQR)67

Descriptive statistics

Standard deviation773.81688
Coefficient of variation (CV)0.16762486
Kurtosis252.63111
Mean4616.361
Median Absolute Deviation (MAD)31
Skewness15.663607
Sum1278732
Variance598792.56
MonotonicityNot monotonic
2024-05-11T15:08:30.574941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4526 12
 
2.6%
4590 9
 
1.9%
4598 8
 
1.7%
4542 7
 
1.5%
4520 7
 
1.5%
4559 7
 
1.5%
4550 6
 
1.3%
4553 6
 
1.3%
4554 6
 
1.3%
4521 6
 
1.3%
Other values (87) 203
43.7%
(Missing) 188
40.4%
ValueCountFrequency (%)
4501 2
 
0.4%
4507 1
 
0.2%
4509 5
1.1%
4510 3
0.6%
4511 1
 
0.2%
4512 2
 
0.4%
4513 5
1.1%
4514 4
0.9%
4515 3
0.6%
4516 4
0.9%
ValueCountFrequency (%)
17154 1
 
0.2%
7236 1
 
0.2%
4637 4
0.9%
4635 1
 
0.2%
4632 1
 
0.2%
4631 3
0.6%
4627 4
0.9%
4626 2
0.4%
4625 3
0.6%
4624 1
 
0.2%

사업장명
Text

Distinct450
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T15:08:30.918767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length19
Mean length7.944086
Min length2

Characters and Unicode

Total characters3694
Distinct characters356
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

Unique436 ?
Unique (%)93.8%

Sample

1st row태가실업-주
2nd row진양일렉트로룩스용역
3rd row외향산업(주)
4th row용진건설-주
5th row주-호성건영
ValueCountFrequency (%)
주식회사 34
 
6.4%
주 5
 
0.9%
서울중구지역자활센터 3
 
0.6%
클린 3
 
0.6%
미스터 3
 
0.6%
청소 2
 
0.4%
크린 2
 
0.4%
하얀나라 2
 
0.4%
세진한아름(주 2
 
0.4%
주)선비엠 2
 
0.4%
Other values (460) 470
89.0%
2024-05-11T15:08:31.587815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 355
 
9.6%
) 302
 
8.2%
( 301
 
8.1%
스 128
 
3.5%
이 85
 
2.3%
에 81
 
2.2%
사 66
 
1.8%
리 66
 
1.8%
64
 
1.7%
업 61
 
1.7%
Other values (346) 2185
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2935
79.5%
Close Punctuation 303
 
8.2%
Open Punctuation 302
 
8.2%
Space Separator 64
 
1.7%
Uppercase Letter 41
 
1.1%
Lowercase Letter 28
 
0.8%
Dash Punctuation 12
 
0.3%
Other Punctuation 6
 
0.2%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 355
 
12.1%
스 128
 
4.4%
이 85
 
2.9%
에 81
 
2.8%
사 66
 
2.2%
리 66
 
2.2%
업 61
 
2.1%
회 51
 
1.7%
식 47
 
1.6%
비 44
 
1.5%
Other values (304) 1951
66.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
12.2%
M 5
12.2%
C 4
9.8%
G 4
9.8%
K 3
 
7.3%
P 3
 
7.3%
O 3
 
7.3%
I 2
 
4.9%
D 2
 
4.9%
U 2
 
4.9%
Other values (7) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
t 5
17.9%
a 4
14.3%
i 4
14.3%
p 3
10.7%
s 2
 
7.1%
y 2
 
7.1%
o 1
 
3.6%
l 1
 
3.6%
m 1
 
3.6%
e 1
 
3.6%
Other values (4) 4
14.3%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 1
 
16.7%
& 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 302
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 301
99.7%
[ 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2935
79.5%
Common 690
 
18.7%
Latin 69
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 355
 
12.1%
스 128
 
4.4%
이 85
 
2.9%
에 81
 
2.8%
사 66
 
2.2%
리 66
 
2.2%
업 61
 
2.1%
회 51
 
1.7%
식 47
 
1.6%
비 44
 
1.5%
Other values (304) 1951
66.5%
Latin
ValueCountFrequency (%)
t 5
 
7.2%
S 5
 
7.2%
M 5
 
7.2%
C 4
 
5.8%
a 4
 
5.8%
G 4
 
5.8%
i 4
 
5.8%
p 3
 
4.3%
K 3
 
4.3%
P 3
 
4.3%
Other values (21) 29
42.0%
Common
ValueCountFrequency (%)
) 302
43.8%
( 301
43.6%
64
 
9.3%
- 12
 
1.7%
. 4
 
0.6%
1 2
 
0.3%
2 1
 
0.1%
, 1
 
0.1%
& 1
 
0.1%
] 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2935
79.5%
ASCII 759
 
20.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 355
 
12.1%
스 128
 
4.4%
이 85
 
2.9%
에 81
 
2.8%
사 66
 
2.2%
리 66
 
2.2%
업 61
 
2.1%
회 51
 
1.7%
식 47
 
1.6%
비 44
 
1.5%
Other values (304) 1951
66.5%
ASCII
ValueCountFrequency (%)
) 302
39.8%
( 301
39.7%
64
 
8.4%
- 12
 
1.6%
t 5
 
0.7%
S 5
 
0.7%
M 5
 
0.7%
C 4
 
0.5%
a 4
 
0.5%
G 4
 
0.5%
Other values (32) 53
 
7.0%

최종수정일자
Date

Distinct385
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2000-01-31 00:00:00
Maximum2024-05-03 16:27:38
2024-05-11T15:08:31.837593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:32.074563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
I
342 
U
123 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 342
73.5%
U 123
 
26.5%

Length

2024-05-11T15:08:32.291595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:32.448689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 342
73.5%
u 123
 
26.5%

데이터갱신일자
Date

Distinct146
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:08:32.640342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:32.884532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
건물위생관리업
465 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물위생관리업 465
100.0%

Length

2024-05-11T15:08:33.108140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:33.285426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물위생관리업 465
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct284
Distinct (%)72.6%
Missing74
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean199413.02
Minimum192549.93
Maximum219054.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:08:33.500553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192549.93
5-th percentile197399.68
Q1198127.73
median199300.67
Q3200648.28
95-th percentile201407.51
Maximum219054.81
Range26504.879
Interquartile range (IQR)2520.5558

Descriptive statistics

Standard deviation1698.7935
Coefficient of variation (CV)0.0085189696
Kurtosis44.899464
Mean199413.02
Median Absolute Deviation (MAD)1234.5602
Skewness3.8057485
Sum77970492
Variance2885899.3
MonotonicityNot monotonic
2024-05-11T15:08:33.750291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198247.002425102 6
 
1.3%
198916.653480187 5
 
1.1%
197243.215346366 5
 
1.1%
200738.529584778 5
 
1.1%
198446.349545101 4
 
0.9%
201059.342075001 4
 
0.9%
198127.72801526 4
 
0.9%
199145.32420106 4
 
0.9%
197612.995083649 4
 
0.9%
200912.763957462 4
 
0.9%
Other values (274) 346
74.4%
(Missing) 74
 
15.9%
ValueCountFrequency (%)
192549.933121435 1
 
0.2%
196864.942838297 1
 
0.2%
196954.724406179 1
 
0.2%
197034.02843741 2
 
0.4%
197098.710590401 2
 
0.4%
197133.181826761 1
 
0.2%
197175.200250032 2
 
0.4%
197199.98375752 1
 
0.2%
197243.215346366 5
1.1%
197249.357745588 2
 
0.4%
ValueCountFrequency (%)
219054.812242672 1
0.2%
202042.539834205 1
0.2%
202033.446803264 1
0.2%
201891.614056376 1
0.2%
201866.039519433 1
0.2%
201852.931048042 1
0.2%
201847.162247969 2
0.4%
201833.693283735 1
0.2%
201823.908977364 2
0.4%
201775.682523178 2
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct284
Distinct (%)72.6%
Missing74
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean451028.16
Minimum414646.4
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:08:33.979480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum414646.4
5-th percentile450181.76
Q1450823.32
median451186.9
Q3451516.88
95-th percentile451787.84
Maximum452076.82
Range37430.423
Interquartile range (IQR)693.56209

Descriptive statistics

Standard deviation1915.4092
Coefficient of variation (CV)0.0042467619
Kurtosis335.94958
Mean451028.16
Median Absolute Deviation (MAD)333.11916
Skewness-17.67935
Sum1.7635201 × 108
Variance3668792.5
MonotonicityNot monotonic
2024-05-11T15:08:34.163762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451706.579909196 6
 
1.3%
451694.842893728 5
 
1.1%
450655.104239931 5
 
1.1%
450439.955394091 5
 
1.1%
451684.808530273 4
 
0.9%
450517.287677482 4
 
0.9%
451800.726494393 4
 
0.9%
451040.432662092 4
 
0.9%
450539.857693464 4
 
0.9%
450078.855010335 4
 
0.9%
Other values (274) 346
74.4%
(Missing) 74
 
15.9%
ValueCountFrequency (%)
414646.396157047 1
 
0.2%
447340.688670594 1
 
0.2%
449611.221496994 1
 
0.2%
449638.824308081 1
 
0.2%
449745.191342417 1
 
0.2%
449919.627798891 1
 
0.2%
449965.528182026 3
0.6%
450038.888747528 2
0.4%
450039.313757803 1
 
0.2%
450078.855010335 4
0.9%
ValueCountFrequency (%)
452076.818664092 2
0.4%
451929.365250285 1
 
0.2%
451887.446565367 1
 
0.2%
451878.229506779 1
 
0.2%
451875.774643402 1
 
0.2%
451872.409388295 1
 
0.2%
451852.142613352 1
 
0.2%
451836.458256618 3
0.6%
451823.532462914 1
 
0.2%
451817.515366883 1
 
0.2%

위생업태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
건물위생관리업
396 
<NA>
69 

Length

Max length7
Median length7
Mean length6.5548387
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물위생관리업 396
85.2%
<NA> 69
 
14.8%

Length

2024-05-11T15:08:34.359936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:34.478857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물위생관리업 396
85.2%
na 69
 
14.8%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)6.6%
Missing177
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean1.6180556
Minimum0
Maximum31
Zeros213
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:08:34.604098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.25
95-th percentile9
Maximum31
Range31
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation3.8590073
Coefficient of variation (CV)2.3849659
Kurtosis17.845817
Mean1.6180556
Median Absolute Deviation (MAD)0
Skewness3.7316102
Sum466
Variance14.891938
MonotonicityNot monotonic
2024-05-11T15:08:34.747022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 213
45.8%
4 16
 
3.4%
5 15
 
3.2%
2 11
 
2.4%
3 8
 
1.7%
8 4
 
0.9%
10 4
 
0.9%
9 3
 
0.6%
1 3
 
0.6%
15 2
 
0.4%
Other values (9) 9
 
1.9%
(Missing) 177
38.1%
ValueCountFrequency (%)
0 213
45.8%
1 3
 
0.6%
2 11
 
2.4%
3 8
 
1.7%
4 16
 
3.4%
5 15
 
3.2%
6 1
 
0.2%
7 1
 
0.2%
8 4
 
0.9%
9 3
 
0.6%
ValueCountFrequency (%)
31 1
 
0.2%
22 1
 
0.2%
19 1
 
0.2%
18 1
 
0.2%
17 1
 
0.2%
16 1
 
0.2%
15 2
0.4%
13 1
 
0.2%
10 4
0.9%
9 3
0.6%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.7%
Missing209
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean0.2265625
Minimum0
Maximum7
Zeros225
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:08:34.907655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.83280621
Coefficient of variation (CV)3.6758343
Kurtosis35.826012
Mean0.2265625
Median Absolute Deviation (MAD)0
Skewness5.5482408
Sum58
Variance0.69356618
MonotonicityNot monotonic
2024-05-11T15:08:35.062936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 225
48.4%
1 20
 
4.3%
2 6
 
1.3%
6 2
 
0.4%
3 1
 
0.2%
7 1
 
0.2%
4 1
 
0.2%
(Missing) 209
44.9%
ValueCountFrequency (%)
0 225
48.4%
1 20
 
4.3%
2 6
 
1.3%
3 1
 
0.2%
4 1
 
0.2%
6 2
 
0.4%
7 1
 
0.2%
ValueCountFrequency (%)
7 1
 
0.2%
6 2
 
0.4%
4 1
 
0.2%
3 1
 
0.2%
2 6
 
1.3%
1 20
 
4.3%
0 225
48.4%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)8.5%
Missing230
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean3.9319149
Minimum0
Maximum21
Zeros51
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:08:35.229943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35.5
95-th percentile13
Maximum21
Range21
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.0588147
Coefficient of variation (CV)1.0322743
Kurtosis2.7958302
Mean3.9319149
Median Absolute Deviation (MAD)2
Skewness1.6157497
Sum924
Variance16.473977
MonotonicityNot monotonic
2024-05-11T15:08:35.390399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 51
 
11.0%
3 34
 
7.3%
4 31
 
6.7%
2 30
 
6.5%
1 19
 
4.1%
6 18
 
3.9%
5 11
 
2.4%
7 9
 
1.9%
10 7
 
1.5%
9 4
 
0.9%
Other values (10) 21
 
4.5%
(Missing) 230
49.5%
ValueCountFrequency (%)
0 51
11.0%
1 19
 
4.1%
2 30
6.5%
3 34
7.3%
4 31
6.7%
5 11
 
2.4%
6 18
 
3.9%
7 9
 
1.9%
8 3
 
0.6%
9 4
 
0.9%
ValueCountFrequency (%)
21 1
 
0.2%
19 1
 
0.2%
18 1
 
0.2%
16 3
0.6%
15 2
 
0.4%
14 3
0.6%
13 2
 
0.4%
12 4
0.9%
11 1
 
0.2%
10 7
1.5%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)9.3%
Missing250
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean4.7023256
Minimum0
Maximum22
Zeros20
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T15:08:35.537112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile14.3
Maximum22
Range22
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.2837166
Coefficient of variation (CV)0.91097832
Kurtosis2.915421
Mean4.7023256
Median Absolute Deviation (MAD)2
Skewness1.666473
Sum1011
Variance18.350228
MonotonicityNot monotonic
2024-05-11T15:08:35.717645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2 36
 
7.7%
4 32
 
6.9%
3 31
 
6.7%
0 20
 
4.3%
1 19
 
4.1%
6 17
 
3.7%
5 13
 
2.8%
7 9
 
1.9%
10 8
 
1.7%
9 6
 
1.3%
Other values (10) 24
 
5.2%
(Missing) 250
53.8%
ValueCountFrequency (%)
0 20
4.3%
1 19
4.1%
2 36
7.7%
3 31
6.7%
4 32
6.9%
5 13
 
2.8%
6 17
3.7%
7 9
 
1.9%
8 5
 
1.1%
9 6
 
1.3%
ValueCountFrequency (%)
22 1
 
0.2%
21 1
 
0.2%
19 2
 
0.4%
17 1
 
0.2%
16 4
0.9%
15 2
 
0.4%
14 3
 
0.6%
13 1
 
0.2%
12 4
0.9%
10 8
1.7%

사용시작지하층
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
356 
0
86 
1
 
17
2
 
5
7
 
1

Length

Max length4
Median length4
Mean length3.2967742
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 356
76.6%
0 86
 
18.5%
1 17
 
3.7%
2 5
 
1.1%
7 1
 
0.2%

Length

2024-05-11T15:08:35.925473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:36.136010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 356
76.6%
0 86
 
18.5%
1 17
 
3.7%
2 5
 
1.1%
7 1
 
0.2%

사용끝지하층
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
389 
0
50 
1
 
19
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length3.5096774
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 389
83.7%
0 50
 
10.8%
1 19
 
4.1%
2 5
 
1.1%
6 1
 
0.2%
7 1
 
0.2%

Length

2024-05-11T15:08:36.327093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:36.505715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 389
83.7%
0 50
 
10.8%
1 19
 
4.1%
2 5
 
1.1%
6 1
 
0.2%
7 1
 
0.2%

한실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
237 
<NA>
228 

Length

Max length4
Median length1
Mean length2.4709677
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 237
51.0%
<NA> 228
49.0%

Length

2024-05-11T15:08:36.733703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:37.333603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
51.0%
na 228
49.0%

양실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
237 
<NA>
228 

Length

Max length4
Median length1
Mean length2.4709677
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 237
51.0%
<NA> 228
49.0%

Length

2024-05-11T15:08:37.490061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:37.664341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
51.0%
na 228
49.0%

욕실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
237 
<NA>
228 

Length

Max length4
Median length1
Mean length2.4709677
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 237
51.0%
<NA> 228
49.0%

Length

2024-05-11T15:08:37.923151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:38.116294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
51.0%
na 228
49.0%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing84
Missing (%)18.1%
Memory size1.0 KiB
False
381 
(Missing)
84 
ValueCountFrequency (%)
False 381
81.9%
(Missing) 84
 
18.1%
2024-05-11T15:08:38.273255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
237 
<NA>
228 

Length

Max length4
Median length1
Mean length2.4709677
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 237
51.0%
<NA> 228
49.0%

Length

2024-05-11T15:08:38.592230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:38.768871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
51.0%
na 228
49.0%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing465
Missing (%)100.0%
Memory size4.2 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing465
Missing (%)100.0%
Memory size4.2 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing465
Missing (%)100.0%
Memory size4.2 KiB

건물소유구분명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
261 
임대
196 
자가
 
8

Length

Max length4
Median length4
Mean length3.1225806
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> 261
56.1%
임대 196
42.2%
자가 8
 
1.7%

Length

2024-05-11T15:08:38.969176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:39.135957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 261
56.1%
임대 196
42.2%
자가 8
 
1.7%

세탁기수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
264 
0
201 

Length

Max length4
Median length4
Mean length2.7032258
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> 264
56.8%
0 201
43.2%

Length

2024-05-11T15:08:39.304931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:39.466652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 264
56.8%
0 201
43.2%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
403 
0
60 
2
 
1
14
 
1

Length

Max length4
Median length4
Mean length3.6021505
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 403
86.7%
0 60
 
12.9%
2 1
 
0.2%
14 1
 
0.2%

Length

2024-05-11T15:08:39.650642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:39.834361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 403
86.7%
0 60
 
12.9%
2 1
 
0.2%
14 1
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
403 
0
60 
5
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.6
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 403
86.7%
0 60
 
12.9%
5 1
 
0.2%
2 1
 
0.2%

Length

2024-05-11T15:08:39.985575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:40.236606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 403
86.7%
0 60
 
12.9%
5 1
 
0.2%
2 1
 
0.2%

회수건조수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
293 
0
172 

Length

Max length4
Median length4
Mean length2.8903226
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> 293
63.0%
0 172
37.0%

Length

2024-05-11T15:08:40.486986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:40.707641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
63.0%
0 172
37.0%

침대수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
298 
0
167 

Length

Max length4
Median length4
Mean length2.9225806
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> 298
64.1%
0 167
35.9%

Length

2024-05-11T15:08:40.998848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:41.203719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 298
64.1%
0 167
35.9%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing69
Missing (%)14.8%
Memory size1.0 KiB
False
396 
(Missing)
69 
ValueCountFrequency (%)
False 396
85.2%
(Missing) 69
 
14.8%
2024-05-11T15:08:41.410088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
030100003010000-206-1987-0173319870601<NA>3폐업2폐업20020821<NA><NA><NA>020275137059.38100194서울특별시 중구 을지로4가 310-68<NA><NA>태가실업-주2003-02-13 00:00:00I2018-08-31 23:59:59.0건물위생관리업<NA><NA>건물위생관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
130100003010000-206-1987-0173419870625<NA>3폐업2폐업19931220<NA><NA><NA>02 7786885.00100051서울특별시 중구 회현동1가 194-15<NA><NA>진양일렉트로룩스용역2001-10-08 00:00:00I2018-08-31 23:59:59.0건물위생관리업<NA><NA>건물위생관리업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
230100003010000-206-1987-0173519870629<NA>1영업/정상1영업<NA><NA><NA><NA>7298880181.26100180서울특별시 중구 다동 70서울특별시 중구 다동길 43, 8층 (다동)4521외향산업(주)2022-12-29 15:19:06U2021-11-01 21:01:00.0건물위생관리업198306.906187451770.331282<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
330100003010000-206-1987-0173619870811<NA>3폐업2폐업19960910<NA><NA><NA>020776798256.26100012서울특별시 중구 충무로2가 60-3<NA><NA>용진건설-주2001-10-08 00:00:00I2018-08-31 23:59:59.0건물위생관리업<NA><NA>건물위생관리업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
430100003010000-206-1987-0173719870904<NA>3폐업2폐업19950208<NA><NA><NA>02 7569091930.48100110서울특별시 중구 서소문동 75-0<NA><NA>주-호성건영2001-10-08 00:00:00I2018-08-31 23:59:59.0건물위생관리업<NA><NA>건물위생관리업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
530100003010000-206-1987-0173819870905<NA>3폐업2폐업20021228<NA><NA><NA>0207770709108.55100191서울특별시 중구 을지로1가 101-1<NA><NA>주-동주진흥2003-03-17 00:00:00I2018-08-31 23:59:59.0건물위생관리업<NA><NA>건물위생관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
630100003010000-206-1987-0173919870918<NA>3폐업2폐업20030226<NA><NA><NA>0222590497.00100801서울특별시 중구 남대문로5가 84-11 연세B/D B6F<NA><NA>(주)대미기업2003-04-10 00:00:00I2018-08-31 23:59:59.0건물위생관리업197612.995084450539.857693건물위생관리업<NA>6<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
730100003010000-206-1987-0174019871028<NA>1영업/정상1영업<NA><NA><NA><NA>0222770070156.69100193서울특별시 중구 을지로3가 315-4서울특별시 중구 을지로14길 8 (을지로3가)4550(주)동도시스템2004-01-07 00:00:00I2018-08-31 23:59:59.0건물위생관리업199189.511607451517.553212건물위생관리업2<NA><NA>2<NA><NA><NA><NA><NA>N<NA><NA><NA><NA>임대<NA><NA><NA><NA><NA>N
830100003010000-206-1987-0174119871021<NA>3폐업2폐업20021002<NA><NA><NA>0207792270.00100874서울특별시 중구 회현동1가 199-6 자유빌딩 1102호<NA><NA>주-남양용역2003-03-17 00:00:00I2018-08-31 23:59:59.0건물위생관리업198113.932337450944.445248건물위생관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
930100003010000-206-1987-0174219871021<NA>3폐업2폐업20021228<NA><NA><NA>0207557631.00100191서울특별시 중구 을지로1가 188-3<NA><NA>삼호기연-주2003-03-17 00:00:00I2018-08-31 23:59:59.0건물위생관리업<NA><NA>건물위생관리업<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
45530100003010000-206-2022-000112022-03-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>60.00100-826서울특별시 중구 신당동 347-332서울특별시 중구 다산로14길 18, 302호 (신당동)4590올댓클린2023-11-16 16:08:20I2022-10-31 23:08:00.0건물위생관리업201022.124535450386.244808<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45630100003010000-206-2023-000012023-02-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>19.80100-170서울특별시 중구 무교동 32-2서울특별시 중구 무교로 15, 20층 2001호 (무교동)4520엠앤에스컴퍼니2023-02-08 11:06:01I2022-12-01 23:00:00.0건물위생관리업198068.059897451666.732614<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45730100003010000-206-2023-000022023-02-15<NA>3폐업2폐업2024-05-02<NA><NA><NA><NA>3.30100-042서울특별시 중구 남산동2가 32-13서울특별시 중구 퇴계로18길 33, 307B호 (남산동2가)4631깨끗한나라2024-05-02 14:15:13U2023-12-05 00:04:00.0건물위생관리업198623.369755450781.146729<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45830100003010000-206-2023-000032023-03-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.70100-281서울특별시 중구 인현동1가 158서울특별시 중구 충무로 24, 지하1층 A106호 (인현동1가)4556(주)클린빡빡2023-03-23 09:50:23I2022-12-02 22:05:00.0건물위생관리업199345.466097451233.369781<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45930100003010000-206-2023-000042023-06-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>21.94100-195서울특별시 중구 을지로5가 20-1 정건벨라지오서울특별시 중구 을지로 213, 정건벨라지오 1002호 (을지로5가)4546무무마트2023-06-19 15:24:11I2022-12-05 22:01:00.0건물위생관리업200090.428459451647.218395<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
46030100003010000-206-2023-000052023-06-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.05100-400서울특별시 중구 쌍림동 25-16서울특별시 중구 퇴계로53길 8, 지층 B01호 (쌍림동)4560우쥬클린2023-06-22 14:06:38I2022-12-05 22:04:00.0건물위생관리업200281.871689451298.458157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
46130100003010000-206-2023-000062023-07-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.53100-195서울특별시 중구 을지로5가 272-17서울특별시 중구 동호로35길 17, 1009호 (을지로5가)4547주식회사 누리홈앤오피스2023-12-21 13:19:44U2022-11-01 22:03:00.0건물위생관리업200045.512509451542.163575<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
46230100003010000-206-2023-000072023-11-15<NA>1영업/정상1영업<NA><NA><NA><NA>02399323153.00100-230서울특별시 중구 수표동 27-1 동화빌딩서울특별시 중구 을지로11길 15, 동화빌딩 지1층 (수표동)4543주식회사 동화뉴텍2023-11-15 15:27:29I2022-10-31 23:07:00.0건물위생관리업199097.276819451645.274277<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
46330100003010000-206-2023-000082023-11-22<NA>1영업/정상1영업<NA><NA><NA><NA>070720493883.30100-400서울특별시 중구 쌍림동 151-11 쌍림빌딩서울특별시 중구 퇴계로 286, 쌍림빌딩 6층 643호 (쌍림동)4615에이치엔이노밸리 주식회사2023-11-22 16:25:57I2022-10-31 22:04:00.0건물위생관리업200247.098068451193.48296<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
46430100003010000-206-2024-000012024-03-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>310.11100-826서울특별시 중구 신당동 340-73 약수빌딩서울특별시 중구 다산로 162, 약수빌딩 4층 401호 (신당동)4590(주)미래비엠2024-03-13 11:26:56I2023-12-02 23:06:00.0건물위생관리업201051.47677450625.660615<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>