Overview

Dataset statistics

Number of variables47
Number of observations187
Missing cells1625
Missing cells (%)18.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.9 KiB
Average record size in memory404.7 B

Variable types

Categorical24
Text7
DateTime3
Unsupported7
Numeric4
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-19973/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (53.4%)Imbalance
건물지상층수 is highly imbalanced (51.9%)Imbalance
건물지하층수 is highly imbalanced (51.6%)Imbalance
여성종사자수 is highly imbalanced (67.1%)Imbalance
남성종사자수 is highly imbalanced (67.1%)Imbalance
다중이용업소여부 is highly imbalanced (65.3%)Imbalance
인허가취소일자 has 187 (100.0%) missing valuesMissing
폐업일자 has 35 (18.7%) missing valuesMissing
휴업시작일자 has 187 (100.0%) missing valuesMissing
휴업종료일자 has 187 (100.0%) missing valuesMissing
재개업일자 has 187 (100.0%) missing valuesMissing
전화번호 has 18 (9.6%) missing valuesMissing
도로명주소 has 84 (44.9%) missing valuesMissing
도로명우편번호 has 87 (46.5%) missing valuesMissing
좌표정보(X) has 6 (3.2%) missing valuesMissing
좌표정보(Y) has 6 (3.2%) missing valuesMissing
욕실수 has 43 (23.0%) missing valuesMissing
발한실여부 has 18 (9.6%) missing valuesMissing
조건부허가신고사유 has 187 (100.0%) missing valuesMissing
조건부허가시작일자 has 187 (100.0%) missing valuesMissing
조건부허가종료일자 has 187 (100.0%) missing valuesMissing
다중이용업소여부 has 18 (9.6%) 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
욕실수 has 105 (56.1%) zerosZeros

Reproduction

Analysis started2024-05-11 07:49:36.420387
Analysis finished2024-05-11 07:49:38.362395
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3210000
187 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 187
100.0%

Length

2024-05-11T07:49:38.661889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:39.310181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 187
100.0%

관리번호
Text

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T07:49:39.986156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters4114
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

Unique187 ?
Unique (%)100.0%

Sample

1st row3210000-202-1976-00001
2nd row3210000-202-1977-00001
3rd row3210000-202-1978-00001
4th row3210000-202-1979-00001
5th row3210000-202-1979-00002
ValueCountFrequency (%)
3210000-202-1976-00001 1
 
0.5%
3210000-202-2003-00017 1
 
0.5%
3210000-202-2005-00001 1
 
0.5%
3210000-202-2003-00009 1
 
0.5%
3210000-202-2003-00010 1
 
0.5%
3210000-202-2003-00011 1
 
0.5%
3210000-202-2003-00012 1
 
0.5%
3210000-202-2003-00013 1
 
0.5%
3210000-202-2003-00014 1
 
0.5%
3210000-202-2003-00015 1
 
0.5%
Other values (177) 177
94.7%
2024-05-11T07:49:41.207693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1756
42.7%
2 734
17.8%
- 561
 
13.6%
1 431
 
10.5%
3 253
 
6.1%
9 156
 
3.8%
8 73
 
1.8%
7 45
 
1.1%
4 39
 
0.9%
5 36
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3553
86.4%
Dash Punctuation 561
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1756
49.4%
2 734
20.7%
1 431
 
12.1%
3 253
 
7.1%
9 156
 
4.4%
8 73
 
2.1%
7 45
 
1.3%
4 39
 
1.1%
5 36
 
1.0%
6 30
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 561
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4114
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1756
42.7%
2 734
17.8%
- 561
 
13.6%
1 431
 
10.5%
3 253
 
6.1%
9 156
 
3.8%
8 73
 
1.8%
7 45
 
1.1%
4 39
 
0.9%
5 36
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1756
42.7%
2 734
17.8%
- 561
 
13.6%
1 431
 
10.5%
3 253
 
6.1%
9 156
 
3.8%
8 73
 
1.8%
7 45
 
1.1%
4 39
 
0.9%
5 36
 
0.9%
Distinct181
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1976-10-23 00:00:00
Maximum2021-09-03 00:00:00
2024-05-11T07:49:41.963919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:49:42.410483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
152 
1
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 152
81.3%
1 35
 
18.7%

Length

2024-05-11T07:49:42.857602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:43.192180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 152
81.3%
1 35
 
18.7%

영업상태명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
152 
영업/정상
35 

Length

Max length5
Median length2
Mean length2.5614973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 152
81.3%
영업/정상 35
 
18.7%

Length

2024-05-11T07:49:43.565377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:43.872600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 152
81.3%
영업/정상 35
 
18.7%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2
152 
1
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 152
81.3%
1 35
 
18.7%

Length

2024-05-11T07:49:44.228681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:44.575468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 152
81.3%
1 35
 
18.7%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
152 
영업
35 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 152
81.3%
영업 35
 
18.7%

Length

2024-05-11T07:49:44.943337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:45.267508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 152
81.3%
영업 35
 
18.7%

폐업일자
Date

MISSING 

Distinct140
Distinct (%)92.1%
Missing35
Missing (%)18.7%
Memory size1.6 KiB
Minimum1992-07-22 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T07:49:45.683067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:49:46.248676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct163
Distinct (%)96.4%
Missing18
Missing (%)9.6%
Memory size1.6 KiB
2024-05-11T07:49:47.406651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.5325444
Min length7

Characters and Unicode

Total characters1611
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

Unique157 ?
Unique (%)92.9%

Sample

1st row5823842
2nd row5854522
3rd row5732133
4th row5821675
5th row02 5996911
ValueCountFrequency (%)
02 91
31.4%
5820011 3
 
1.0%
584 3
 
1.0%
5158523 3
 
1.0%
532 3
 
1.0%
5754562 3
 
1.0%
5216837 2
 
0.7%
7676 2
 
0.7%
5876785 2
 
0.7%
596 2
 
0.7%
Other values (174) 176
60.7%
2024-05-11T07:49:48.913801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 233
14.5%
2 228
14.2%
0 210
13.0%
157
9.7%
3 143
8.9%
8 131
8.1%
4 115
7.1%
1 114
7.1%
6 111
6.9%
7 100
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1454
90.3%
Space Separator 157
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 233
16.0%
2 228
15.7%
0 210
14.4%
3 143
9.8%
8 131
9.0%
4 115
7.9%
1 114
7.8%
6 111
7.6%
7 100
6.9%
9 69
 
4.7%
Space Separator
ValueCountFrequency (%)
157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1611
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 233
14.5%
2 228
14.2%
0 210
13.0%
157
9.7%
3 143
8.9%
8 131
8.1%
4 115
7.1%
1 114
7.1%
6 111
6.9%
7 100
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 233
14.5%
2 228
14.2%
0 210
13.0%
157
9.7%
3 143
8.9%
8 131
8.1%
4 115
7.1%
1 114
7.1%
6 111
6.9%
7 100
6.2%
Distinct158
Distinct (%)84.9%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-05-11T07:49:50.107561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.9462366
Min length3

Characters and Unicode

Total characters1106
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

Unique148 ?
Unique (%)79.6%

Sample

1st row176.30
2nd row145.99
3rd row197.92
4th row158.64
5th row300.00
ValueCountFrequency (%)
00 18
 
9.7%
450.00 3
 
1.6%
300.00 3
 
1.6%
495.00 2
 
1.1%
290.00 2
 
1.1%
165.00 2
 
1.1%
1,200.00 2
 
1.1%
293.84 2
 
1.1%
1,400.00 2
 
1.1%
255.74 2
 
1.1%
Other values (148) 148
79.6%
2024-05-11T07:49:51.745787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 246
22.2%
. 186
16.8%
2 111
10.0%
5 83
 
7.5%
4 82
 
7.4%
1 76
 
6.9%
3 67
 
6.1%
9 65
 
5.9%
7 60
 
5.4%
6 59
 
5.3%
Other values (2) 71
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 897
81.1%
Other Punctuation 209
 
18.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 246
27.4%
2 111
12.4%
5 83
 
9.3%
4 82
 
9.1%
1 76
 
8.5%
3 67
 
7.5%
9 65
 
7.2%
7 60
 
6.7%
6 59
 
6.6%
8 48
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 186
89.0%
, 23
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1106
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 246
22.2%
. 186
16.8%
2 111
10.0%
5 83
 
7.5%
4 82
 
7.4%
1 76
 
6.9%
3 67
 
6.1%
9 65
 
5.9%
7 60
 
5.4%
6 59
 
5.3%
Other values (2) 71
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 246
22.2%
. 186
16.8%
2 111
10.0%
5 83
 
7.5%
4 82
 
7.4%
1 76
 
6.9%
3 67
 
6.1%
9 65
 
5.9%
7 60
 
5.4%
6 59
 
5.3%
Other values (2) 71
 
6.4%
Distinct85
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T07:49:52.623623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0374332
Min length6

Characters and Unicode

Total characters1129
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

Unique40 ?
Unique (%)21.4%

Sample

1st row137817
2nd row137843
3rd row137-886
4th row137846
5th row137833
ValueCountFrequency (%)
137902 9
 
4.8%
137876 8
 
4.3%
137828 7
 
3.7%
137860 6
 
3.2%
137040 6
 
3.2%
137872 5
 
2.7%
137903 4
 
2.1%
137953 4
 
2.1%
137830 4
 
2.1%
137803 4
 
2.1%
Other values (75) 130
69.5%
2024-05-11T07:49:54.109661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 229
20.3%
3 218
19.3%
1 217
19.2%
8 167
14.8%
0 101
8.9%
9 50
 
4.4%
6 43
 
3.8%
2 37
 
3.3%
5 32
 
2.8%
4 28
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1122
99.4%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 229
20.4%
3 218
19.4%
1 217
19.3%
8 167
14.9%
0 101
9.0%
9 50
 
4.5%
6 43
 
3.8%
2 37
 
3.3%
5 32
 
2.9%
4 28
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1129
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 229
20.3%
3 218
19.3%
1 217
19.2%
8 167
14.8%
0 101
8.9%
9 50
 
4.4%
6 43
 
3.8%
2 37
 
3.3%
5 32
 
2.8%
4 28
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1129
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 229
20.3%
3 218
19.3%
1 217
19.2%
8 167
14.8%
0 101
8.9%
9 50
 
4.4%
6 43
 
3.8%
2 37
 
3.3%
5 32
 
2.8%
4 28
 
2.5%
Distinct185
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T07:49:54.764161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length38
Mean length27.256684
Min length18

Characters and Unicode

Total characters5097
Distinct characters130
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

Unique183 ?
Unique (%)97.9%

Sample

1st row서울특별시 서초구 방배동 436-3번지
2nd row서울특별시 서초구 방배동 914-16번지
3rd row서울특별시 서초구 양재동 1-7 (2층)
4th row서울특별시 서초구 방배동 961-10번지 1층, 2층
5th row서울특별시 서초구 방배동 824-1번지 1,2층
ValueCountFrequency (%)
서울특별시 187
19.6%
서초구 187
19.6%
서초동 68
 
7.1%
방배동 39
 
4.1%
지하 36
 
3.8%
반포동 33
 
3.5%
잠원동 24
 
2.5%
1층 19
 
2.0%
2층 17
 
1.8%
지하1층 17
 
1.8%
Other values (256) 329
34.4%
2024-05-11T07:49:56.000324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
935
18.3%
447
 
8.8%
1 264
 
5.2%
258
 
5.1%
241
 
4.7%
194
 
3.8%
189
 
3.7%
188
 
3.7%
187
 
3.7%
187
 
3.7%
Other values (120) 2007
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2858
56.1%
Decimal Number 1026
 
20.1%
Space Separator 935
 
18.3%
Dash Punctuation 178
 
3.5%
Other Punctuation 37
 
0.7%
Open Punctuation 21
 
0.4%
Close Punctuation 20
 
0.4%
Math Symbol 12
 
0.2%
Uppercase Letter 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
447
15.6%
258
9.0%
241
 
8.4%
194
 
6.8%
189
 
6.6%
188
 
6.6%
187
 
6.5%
187
 
6.5%
187
 
6.5%
141
 
4.9%
Other values (102) 639
22.4%
Decimal Number
ValueCountFrequency (%)
1 264
25.7%
2 146
14.2%
3 121
11.8%
5 98
 
9.6%
4 76
 
7.4%
0 74
 
7.2%
6 73
 
7.1%
7 71
 
6.9%
8 53
 
5.2%
9 50
 
4.9%
Open Punctuation
ValueCountFrequency (%)
( 20
95.2%
[ 1
 
4.8%
Space Separator
ValueCountFrequency (%)
935
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2858
56.1%
Common 2229
43.7%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
447
15.6%
258
9.0%
241
 
8.4%
194
 
6.8%
189
 
6.6%
188
 
6.6%
187
 
6.5%
187
 
6.5%
187
 
6.5%
141
 
4.9%
Other values (102) 639
22.4%
Common
ValueCountFrequency (%)
935
41.9%
1 264
 
11.8%
- 178
 
8.0%
2 146
 
6.6%
3 121
 
5.4%
5 98
 
4.4%
4 76
 
3.4%
0 74
 
3.3%
6 73
 
3.3%
7 71
 
3.2%
Other values (7) 193
 
8.7%
Latin
ValueCountFrequency (%)
B 10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2858
56.1%
ASCII 2239
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
935
41.8%
1 264
 
11.8%
- 178
 
7.9%
2 146
 
6.5%
3 121
 
5.4%
5 98
 
4.4%
4 76
 
3.4%
0 74
 
3.3%
6 73
 
3.3%
7 71
 
3.2%
Other values (8) 203
 
9.1%
Hangul
ValueCountFrequency (%)
447
15.6%
258
9.0%
241
 
8.4%
194
 
6.8%
189
 
6.6%
188
 
6.6%
187
 
6.5%
187
 
6.5%
187
 
6.5%
141
 
4.9%
Other values (102) 639
22.4%

도로명주소
Text

MISSING 

Distinct103
Distinct (%)100.0%
Missing84
Missing (%)44.9%
Memory size1.6 KiB
2024-05-11T07:49:56.652804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length31.883495
Min length22

Characters and Unicode

Total characters3284
Distinct characters129
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

Unique103 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 방배천로18길 32 (방배동)
2nd row서울특별시 서초구 효령로27길 35 (방배동)
3rd row서울특별시 서초구 남부순환로356길 15 (양재동)
4th row서울특별시 서초구 방배중앙로9길 35-7, 1층, 2층 (방배동)
5th row서울특별시 서초구 동광로 22 (방배동)
ValueCountFrequency (%)
서울특별시 103
 
16.3%
서초구 103
 
16.3%
지하 27
 
4.3%
서초동 23
 
3.7%
방배동 17
 
2.7%
반포동 15
 
2.4%
1층 13
 
2.1%
2층 13
 
2.1%
잠원동 12
 
1.9%
지하1층 9
 
1.4%
Other values (213) 295
46.8%
2024-05-11T07:49:57.827410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
527
 
16.0%
261
 
7.9%
152
 
4.6%
1 122
 
3.7%
112
 
3.4%
) 105
 
3.2%
( 105
 
3.2%
104
 
3.2%
104
 
3.2%
103
 
3.1%
Other values (119) 1589
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1942
59.1%
Space Separator 527
 
16.0%
Decimal Number 471
 
14.3%
Close Punctuation 105
 
3.2%
Open Punctuation 105
 
3.2%
Other Punctuation 102
 
3.1%
Dash Punctuation 18
 
0.5%
Uppercase Letter 8
 
0.2%
Math Symbol 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
261
 
13.4%
152
 
7.8%
112
 
5.8%
104
 
5.4%
104
 
5.4%
103
 
5.3%
103
 
5.3%
103
 
5.3%
101
 
5.2%
72
 
3.7%
Other values (102) 727
37.4%
Decimal Number
ValueCountFrequency (%)
1 122
25.9%
2 81
17.2%
3 52
11.0%
0 43
 
9.1%
5 35
 
7.4%
4 34
 
7.2%
6 30
 
6.4%
8 26
 
5.5%
9 24
 
5.1%
7 24
 
5.1%
Space Separator
ValueCountFrequency (%)
527
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1942
59.1%
Common 1334
40.6%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
261
 
13.4%
152
 
7.8%
112
 
5.8%
104
 
5.4%
104
 
5.4%
103
 
5.3%
103
 
5.3%
103
 
5.3%
101
 
5.2%
72
 
3.7%
Other values (102) 727
37.4%
Common
ValueCountFrequency (%)
527
39.5%
1 122
 
9.1%
) 105
 
7.9%
( 105
 
7.9%
, 102
 
7.6%
2 81
 
6.1%
3 52
 
3.9%
0 43
 
3.2%
5 35
 
2.6%
4 34
 
2.5%
Other values (6) 128
 
9.6%
Latin
ValueCountFrequency (%)
B 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1942
59.1%
ASCII 1342
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
527
39.3%
1 122
 
9.1%
) 105
 
7.8%
( 105
 
7.8%
, 102
 
7.6%
2 81
 
6.0%
3 52
 
3.9%
0 43
 
3.2%
5 35
 
2.6%
4 34
 
2.5%
Other values (7) 136
 
10.1%
Hangul
ValueCountFrequency (%)
261
 
13.4%
152
 
7.8%
112
 
5.8%
104
 
5.4%
104
 
5.4%
103
 
5.3%
103
 
5.3%
103
 
5.3%
101
 
5.2%
72
 
3.7%
Other values (102) 727
37.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)71.0%
Missing87
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean6627.13
Minimum6502
Maximum6802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:49:58.349607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6502
5-th percentile6509.95
Q16553.5
median6625
Q36677.5
95-th percentile6788.05
Maximum6802
Range300
Interquartile range (IQR)124

Descriptive statistics

Standard deviation85.322757
Coefficient of variation (CV)0.012874767
Kurtosis-0.78948644
Mean6627.13
Median Absolute Deviation (MAD)64
Skewness0.43514089
Sum662713
Variance7279.9728
MonotonicityNot monotonic
2024-05-11T07:49:58.809099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6524 4
 
2.1%
6626 3
 
1.6%
6577 3
 
1.6%
6593 3
 
1.6%
6651 3
 
1.6%
6775 2
 
1.1%
6802 2
 
1.1%
6552 2
 
1.1%
6554 2
 
1.1%
6753 2
 
1.1%
Other values (61) 74
39.6%
(Missing) 87
46.5%
ValueCountFrequency (%)
6502 2
1.1%
6503 2
1.1%
6509 1
 
0.5%
6510 1
 
0.5%
6514 1
 
0.5%
6515 1
 
0.5%
6524 4
2.1%
6525 1
 
0.5%
6527 1
 
0.5%
6531 2
1.1%
ValueCountFrequency (%)
6802 2
1.1%
6793 1
0.5%
6789 2
1.1%
6788 1
0.5%
6776 1
0.5%
6775 2
1.1%
6769 1
0.5%
6762 1
0.5%
6753 2
1.1%
6738 2
1.1%
Distinct177
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T07:49:59.695206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length5.7914439
Min length1

Characters and Unicode

Total characters1083
Distinct characters233
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)89.8%

Sample

1st row우래탕
2nd row은하탕
3rd row양재탕
4th row금수탕
5th row시원탕
ValueCountFrequency (%)
사우나 4
 
1.8%
서초스파 3
 
1.4%
스파 3
 
1.4%
불한증막 3
 
1.4%
반포탕 2
 
0.9%
강남코리아 2
 
0.9%
베버리스파사우나 2
 
0.9%
찜질방 2
 
0.9%
호텔사우나 2
 
0.9%
방배탕 2
 
0.9%
Other values (192) 197
88.7%
2024-05-11T07:50:00.996275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
7.3%
59
 
5.4%
54
 
5.0%
53
 
4.9%
35
 
3.2%
35
 
3.2%
30
 
2.8%
23
 
2.1%
23
 
2.1%
22
 
2.0%
Other values (223) 670
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 998
92.2%
Space Separator 35
 
3.2%
Lowercase Letter 23
 
2.1%
Uppercase Letter 15
 
1.4%
Open Punctuation 5
 
0.5%
Close Punctuation 5
 
0.5%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
 
7.9%
59
 
5.9%
54
 
5.4%
53
 
5.3%
35
 
3.5%
30
 
3.0%
23
 
2.3%
23
 
2.3%
22
 
2.2%
22
 
2.2%
Other values (196) 598
59.9%
Lowercase Letter
ValueCountFrequency (%)
s 4
17.4%
u 4
17.4%
n 3
13.0%
a 3
13.0%
e 2
8.7%
l 2
8.7%
p 1
 
4.3%
i 1
 
4.3%
b 1
 
4.3%
c 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
13.3%
N 2
13.3%
O 2
13.3%
P 2
13.3%
S 1
6.7%
B 1
6.7%
F 1
6.7%
T 1
6.7%
I 1
6.7%
V 1
6.7%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 997
92.1%
Common 47
 
4.3%
Latin 38
 
3.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
 
7.9%
59
 
5.9%
54
 
5.4%
53
 
5.3%
35
 
3.5%
30
 
3.0%
23
 
2.3%
23
 
2.3%
22
 
2.2%
22
 
2.2%
Other values (195) 597
59.9%
Latin
ValueCountFrequency (%)
s 4
 
10.5%
u 4
 
10.5%
n 3
 
7.9%
a 3
 
7.9%
e 2
 
5.3%
C 2
 
5.3%
l 2
 
5.3%
N 2
 
5.3%
O 2
 
5.3%
P 2
 
5.3%
Other values (12) 12
31.6%
Common
ValueCountFrequency (%)
35
74.5%
( 5
 
10.6%
) 5
 
10.6%
4 1
 
2.1%
2 1
 
2.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 997
92.1%
ASCII 85
 
7.8%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
79
 
7.9%
59
 
5.9%
54
 
5.4%
53
 
5.3%
35
 
3.5%
30
 
3.0%
23
 
2.3%
23
 
2.3%
22
 
2.2%
22
 
2.2%
Other values (195) 597
59.9%
ASCII
ValueCountFrequency (%)
35
41.2%
( 5
 
5.9%
) 5
 
5.9%
s 4
 
4.7%
u 4
 
4.7%
n 3
 
3.5%
a 3
 
3.5%
e 2
 
2.4%
C 2
 
2.4%
l 2
 
2.4%
Other values (17) 20
23.5%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct152
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2001-09-29 00:00:00
Maximum2024-05-02 14:20:56
2024-05-11T07:50:02.085076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:50:02.684947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
129 
U
58 

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 129
69.0%
U 58
31.0%

Length

2024-05-11T07:50:03.264830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:03.649650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 129
69.0%
u 58
31.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct49
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2018-08-31 23:59:59.0
128 
2021-12-03 23:03:00.0
 
4
2020-07-01 02:40:00.0
 
3
2020-06-17 02:40:00.0
 
3
2020-06-18 02:40:00.0
 
2
Other values (44)
47 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique41 ?
Unique (%)21.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2023-12-05 00:04:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 128
68.4%
2021-12-03 23:03:00.0 4
 
2.1%
2020-07-01 02:40:00.0 3
 
1.6%
2020-06-17 02:40:00.0 3
 
1.6%
2020-06-18 02:40:00.0 2
 
1.1%
2019-08-02 02:40:00.0 2
 
1.1%
2021-12-05 22:09:00.0 2
 
1.1%
2020-06-26 02:40:00.0 2
 
1.1%
2021-03-05 02:40:00.0 1
 
0.5%
2019-01-19 02:40:00.0 1
 
0.5%
Other values (39) 39
 
20.9%

Length

2024-05-11T07:50:04.129926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 128
34.2%
23:59:59.0 128
34.2%
02:40:00.0 40
 
10.7%
2021-12-03 4
 
1.1%
23:03:00.0 4
 
1.1%
22:09:00.0 3
 
0.8%
2021-12-06 3
 
0.8%
2020-07-01 3
 
0.8%
2020-06-17 3
 
0.8%
2020-06-18 2
 
0.5%
Other values (51) 56
15.0%

업태구분명
Categorical

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
공동탕업
130 
한증막업
24 
공동탕업+찜질시설서비스영업
24 
찜질시설서비스영업
 
8
목욕장업 기타
 
1

Length

Max length14
Median length4
Mean length5.513369
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
공동탕업 130
69.5%
한증막업 24
 
12.8%
공동탕업+찜질시설서비스영업 24
 
12.8%
찜질시설서비스영업 8
 
4.3%
목욕장업 기타 1
 
0.5%

Length

2024-05-11T07:50:04.719042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:05.154537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동탕업 130
69.1%
한증막업 24
 
12.8%
공동탕업+찜질시설서비스영업 24
 
12.8%
찜질시설서비스영업 8
 
4.3%
목욕장업 1
 
0.5%
기타 1
 
0.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct144
Distinct (%)79.6%
Missing6
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean201114.8
Minimum198484.95
Maximum205062.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:50:05.682164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198484.95
5-th percentile198650.44
Q1199925.41
median201170.07
Q3201856.63
95-th percentile203815.67
Maximum205062.23
Range6577.2863
Interquartile range (IQR)1931.219

Descriptive statistics

Standard deviation1495.0892
Coefficient of variation (CV)0.0074340092
Kurtosis-0.28027452
Mean201114.8
Median Absolute Deviation (MAD)912.02351
Skewness0.15175748
Sum36401778
Variance2235291.9
MonotonicityNot monotonic
2024-05-11T07:50:06.138900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200931.030899497 4
 
2.1%
201530.475526772 3
 
1.6%
203982.973731284 3
 
1.6%
201558.972129965 3
 
1.6%
201068.542900042 2
 
1.1%
201237.539930388 2
 
1.1%
198484.945811067 2
 
1.1%
201472.668856726 2
 
1.1%
200258.046490891 2
 
1.1%
199377.359197582 2
 
1.1%
Other values (134) 156
83.4%
(Missing) 6
 
3.2%
ValueCountFrequency (%)
198484.945811067 2
1.1%
198485.718658225 1
0.5%
198490.707388082 1
0.5%
198567.377044961 1
0.5%
198579.864443662 1
0.5%
198620.542431657 1
0.5%
198649.663602053 1
0.5%
198650.438044274 2
1.1%
198660.616347373 2
1.1%
198703.042982773 1
0.5%
ValueCountFrequency (%)
205062.232093186 1
 
0.5%
204783.612470826 1
 
0.5%
204468.947694979 1
 
0.5%
204418.836684211 2
1.1%
203982.973731284 3
1.6%
203847.029537103 1
 
0.5%
203815.668827003 1
 
0.5%
203747.295261216 1
 
0.5%
203699.574223303 1
 
0.5%
203630.238293919 1
 
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct144
Distinct (%)79.6%
Missing6
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean443351.36
Minimum438068.09
Maximum446565.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:50:06.593927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438068.09
5-th percentile440753.04
Q1442587.01
median443326.13
Q3444335.62
95-th percentile445992.46
Maximum446565.03
Range8496.934
Interquartile range (IQR)1748.6096

Descriptive statistics

Standard deviation1544.9432
Coefficient of variation (CV)0.0034846927
Kurtosis0.73492119
Mean443351.36
Median Absolute Deviation (MAD)867.13745
Skewness-0.40141142
Sum80246595
Variance2386849.6
MonotonicityNot monotonic
2024-05-11T07:50:07.157384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444209.998155051 4
 
2.1%
446268.294338007 3
 
1.6%
440836.878316905 3
 
1.6%
445781.656532201 3
 
1.6%
443409.058378452 2
 
1.1%
442696.249093163 2
 
1.1%
441665.723327628 2
 
1.1%
444193.267014675 2
 
1.1%
445103.708668959 2
 
1.1%
442626.132134545 2
 
1.1%
Other values (134) 156
83.4%
(Missing) 6
 
3.2%
ValueCountFrequency (%)
438068.094636291 1
 
0.5%
438520.182013694 1
 
0.5%
439051.356308455 1
 
0.5%
439881.740443559 1
 
0.5%
439958.443578701 2
1.1%
439960.533113874 1
 
0.5%
440511.561175378 1
 
0.5%
440544.813348895 1
 
0.5%
440753.038269237 1
 
0.5%
440836.878316905 3
1.6%
ValueCountFrequency (%)
446565.028672992 1
 
0.5%
446268.294338007 3
1.6%
446202.471850496 1
 
0.5%
446180.260965954 1
 
0.5%
446097.921408678 1
 
0.5%
445998.07382598 2
1.1%
445992.459343379 1
 
0.5%
445986.396295716 1
 
0.5%
445847.385086678 1
 
0.5%
445781.656532201 3
1.6%

위생업태명
Categorical

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
공동탕업
120 
한증막업
23 
<NA>
18 
공동탕업+찜질시설서비스영업
17 
찜질시설서비스영업
 
8

Length

Max length14
Median length4
Mean length5.1390374
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
공동탕업 120
64.2%
한증막업 23
 
12.3%
<NA> 18
 
9.6%
공동탕업+찜질시설서비스영업 17
 
9.1%
찜질시설서비스영업 8
 
4.3%
목욕장업 기타 1
 
0.5%

Length

2024-05-11T07:50:07.557891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:08.057525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동탕업 120
63.8%
한증막업 23
 
12.2%
na 18
 
9.6%
공동탕업+찜질시설서비스영업 17
 
9.0%
찜질시설서비스영업 8
 
4.3%
목욕장업 1
 
0.5%
기타 1
 
0.5%

건물지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
128 
<NA>
52 
5
 
4
7
 
2
8
 
1

Length

Max length4
Median length1
Mean length1.8342246
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 128
68.4%
<NA> 52
27.8%
5 4
 
2.1%
7 2
 
1.1%
8 1
 
0.5%

Length

2024-05-11T07:50:08.585911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:09.036678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 128
68.4%
na 52
27.8%
5 4
 
2.1%
7 2
 
1.1%
8 1
 
0.5%

건물지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
128 
<NA>
52 
2
 
3
1
 
2
3
 
2

Length

Max length4
Median length1
Mean length1.8342246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 128
68.4%
<NA> 52
27.8%
2 3
 
1.6%
1 2
 
1.1%
3 2
 
1.1%

Length

2024-05-11T07:50:09.591268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:10.261979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 128
68.4%
na 52
27.8%
2 3
 
1.6%
1 2
 
1.1%
3 2
 
1.1%
Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
107 
<NA>
65 
1
 
7
2
 
4
3
 
3

Length

Max length4
Median length1
Mean length2.0427807
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 107
57.2%
<NA> 65
34.8%
1 7
 
3.7%
2 4
 
2.1%
3 3
 
1.6%
4 1
 
0.5%

Length

2024-05-11T07:50:10.771402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:11.308497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
57.2%
na 65
34.8%
1 7
 
3.7%
2 4
 
2.1%
3 3
 
1.6%
4 1
 
0.5%
Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
108 
0
64 
3
 
6
2
 
4
1
 
4

Length

Max length4
Median length4
Mean length2.7326203
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row2
5th row0

Common Values

ValueCountFrequency (%)
<NA> 108
57.8%
0 64
34.2%
3 6
 
3.2%
2 4
 
2.1%
1 4
 
2.1%
4 1
 
0.5%

Length

2024-05-11T07:50:11.922213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:12.599401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
57.8%
0 64
34.2%
3 6
 
3.2%
2 4
 
2.1%
1 4
 
2.1%
4 1
 
0.5%
Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
83 
<NA>
50 
1
37 
2
16 
4
 
1

Length

Max length4
Median length1
Mean length1.802139
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 83
44.4%
<NA> 50
26.7%
1 37
19.8%
2 16
 
8.6%
4 1
 
0.5%

Length

2024-05-11T07:50:13.131864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:13.857350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 83
44.4%
na 50
26.7%
1 37
19.8%
2 16
 
8.6%
4 1
 
0.5%
Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
93 
0
42 
1
28 
2
21 
4
 
2

Length

Max length4
Median length1
Mean length2.4919786
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
49.7%
0 42
22.5%
1 28
 
15.0%
2 21
 
11.2%
4 2
 
1.1%
3 1
 
0.5%

Length

2024-05-11T07:50:14.668559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:15.218624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
49.7%
0 42
22.5%
1 28
 
15.0%
2 21
 
11.2%
4 2
 
1.1%
3 1
 
0.5%

한실수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
143 
<NA>
44 

Length

Max length4
Median length1
Mean length1.7058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 143
76.5%
<NA> 44
 
23.5%

Length

2024-05-11T07:50:15.952683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:16.398698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 143
76.5%
na 44
 
23.5%

양실수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
143 
<NA>
44 

Length

Max length4
Median length1
Mean length1.7058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 143
76.5%
<NA> 44
 
23.5%

Length

2024-05-11T07:50:16.966491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:17.547862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 143
76.5%
na 44
 
23.5%

욕실수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.6%
Missing43
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean0.63888889
Minimum0
Maximum8
Zeros105
Zeros (%)56.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:50:18.063526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.85
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4416924
Coefficient of variation (CV)2.2565621
Kurtosis11.099323
Mean0.63888889
Median Absolute Deviation (MAD)0
Skewness3.1541038
Sum92
Variance2.0784771
MonotonicityNot monotonic
2024-05-11T07:50:18.491755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 105
56.1%
1 17
 
9.1%
2 12
 
6.4%
4 3
 
1.6%
6 2
 
1.1%
8 2
 
1.1%
3 2
 
1.1%
5 1
 
0.5%
(Missing) 43
23.0%
ValueCountFrequency (%)
0 105
56.1%
1 17
 
9.1%
2 12
 
6.4%
3 2
 
1.1%
4 3
 
1.6%
5 1
 
0.5%
6 2
 
1.1%
8 2
 
1.1%
ValueCountFrequency (%)
8 2
 
1.1%
6 2
 
1.1%
5 1
 
0.5%
4 3
 
1.6%
3 2
 
1.1%
2 12
 
6.4%
1 17
 
9.1%
0 105
56.1%

발한실여부
Boolean

MISSING 

Distinct2
Distinct (%)1.2%
Missing18
Missing (%)9.6%
Memory size506.0 B
False
146 
True
23 
(Missing)
18 
ValueCountFrequency (%)
False 146
78.1%
True 23
 
12.3%
(Missing) 18
 
9.6%
2024-05-11T07:50:19.035481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
135 
<NA>
52 

Length

Max length4
Median length1
Mean length1.8342246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 135
72.2%
<NA> 52
 
27.8%

Length

2024-05-11T07:50:19.551675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:20.077577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 135
72.2%
na 52
 
27.8%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
141 
임대
35 
자가
 
11

Length

Max length4
Median length4
Mean length3.5080214
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
75.4%
임대 35
 
18.7%
자가 11
 
5.9%

Length

2024-05-11T07:50:20.498910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:20.909432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
75.4%
임대 35
 
18.7%
자가 11
 
5.9%

세탁기수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
94 
<NA>
93 

Length

Max length4
Median length1
Mean length2.4919786
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 94
50.3%
<NA> 93
49.7%

Length

2024-05-11T07:50:21.446735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:21.849437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 94
50.3%
na 93
49.7%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
167 
0
19 
4
 
1

Length

Max length4
Median length4
Mean length3.6791444
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 167
89.3%
0 19
 
10.2%
4 1
 
0.5%

Length

2024-05-11T07:50:22.361065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:22.716527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
89.3%
0 19
 
10.2%
4 1
 
0.5%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
167 
0
19 
3
 
1

Length

Max length4
Median length4
Mean length3.6791444
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 167
89.3%
0 19
 
10.2%
3 1
 
0.5%

Length

2024-05-11T07:50:23.080091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:23.468438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
89.3%
0 19
 
10.2%
3 1
 
0.5%

회수건조수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
106 
0
81 

Length

Max length4
Median length4
Mean length2.7005348
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
56.7%
0 81
43.3%

Length

2024-05-11T07:50:23.885931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:24.187925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
56.7%
0 81
43.3%

침대수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
106 
0
81 

Length

Max length4
Median length4
Mean length2.7005348
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
56.7%
0 81
43.3%

Length

2024-05-11T07:50:24.488373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:24.743244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
56.7%
0 81
43.3%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.2%
Missing18
Missing (%)9.6%
Memory size506.0 B
False
158 
True
 
11
(Missing)
18 
ValueCountFrequency (%)
False 158
84.5%
True 11
 
5.9%
(Missing) 18
 
9.6%
2024-05-11T07:50:24.952004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
032100003210000-202-1976-0000119761023<NA>3폐업2폐업20140521<NA><NA><NA>5823842176.30137817서울특별시 서초구 방배동 436-3번지서울특별시 서초구 방배천로18길 32 (방배동)6677우래탕2003-01-15 00:00:00I2018-08-31 23:59:59.0공동탕업198567.377045442261.970659공동탕업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
132100003210000-202-1977-0000119771207<NA>3폐업2폐업20171103<NA><NA><NA>5854522145.99137843서울특별시 서초구 방배동 914-16번지서울특별시 서초구 효령로27길 35 (방배동)6685은하탕2017-11-03 14:13:01I2018-08-31 23:59:59.0공동탕업199448.224278442237.803916공동탕업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
232100003210000-202-1978-000011978-04-10<NA>3폐업2폐업2024-05-02<NA><NA><NA>5732133197.92137-886서울특별시 서초구 양재동 1-7 (2층)서울특별시 서초구 남부순환로356길 15 (양재동)6738양재탕2024-05-02 14:20:56U2023-12-05 00:04:00.0공동탕업203288.558316442465.267742<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
332100003210000-202-1979-0000119790202<NA>3폐업2폐업20180731<NA><NA><NA>5821675158.64137846서울특별시 서초구 방배동 961-10번지 1층, 2층서울특별시 서초구 방배중앙로9길 35-7, 1층, 2층 (방배동)6679금수탕2018-07-31 11:36:51I2018-08-31 23:59:59.0공동탕업198947.314086442437.621231공동탕업001200002N0<NA><NA><NA>임대0<NA><NA>00N
432100003210000-202-1979-0000219791004<NA>3폐업2폐업20161103<NA><NA><NA>02 5996911300.00137833서울특별시 서초구 방배동 824-1번지 1,2층서울특별시 서초구 동광로 22 (방배동)6565시원탕2016-11-04 11:19:48I2018-08-31 23:59:59.0공동탕업198620.542432443168.96237공동탕업000000000N0<NA><NA><NA><NA>0<NA><NA>00N
532100003210000-202-1979-0000319790831<NA>3폐업2폐업20050711<NA><NA><NA>5379990299.90137837서울특별시 서초구 방배동 853-24번지 1,2층<NA><NA>대영탕2003-03-14 00:00:00I2018-08-31 23:59:59.0공동탕업199215.586169442939.238703공동탕업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
632100003210000-202-1981-0014719810812<NA>3폐업2폐업20061026<NA><NA><NA>2 5956646295.56137835서울특별시 서초구 방배동 837-6번지<NA><NA>방배탕2003-01-15 00:00:00I2018-08-31 23:59:59.0공동탕업199247.289509443198.528746공동탕업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
732100003210000-202-1981-0015019811222<NA>3폐업2폐업20021231<NA><NA><NA>5845356222.26137841서울특별시 서초구 방배동 901-2번지<NA><NA>정산탕2003-01-15 00:00:00I2018-08-31 23:59:59.0공동탕업199502.545142442621.229786공동탕업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
832100003210000-202-1982-0012219820830<NA>3폐업2폐업20170426<NA><NA><NA>02 5352497754.94137040서울특별시 서초구 반포동 19-4번지 ,17호,18호 (지하 1층)서울특별시 서초구 신반포로 194 (반포동)6545터미널 찜질방2017-04-26 10:16:08I2018-08-31 23:59:59.0공동탕업200554.743958444811.364826공동탕업000011000N0<NA><NA><NA><NA>0<NA><NA>00N
932100003210000-202-1982-0012319821211<NA>3폐업2폐업19980224<NA><NA><NA>02 5771777.00137160서울특별시 서초구 신원동 485-1번지<NA><NA>신원탕2001-09-29 00:00:00I2018-08-31 23:59:59.0공동탕업204468.947695439051.356308공동탕업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
17732100003210000-202-2017-0000120170126<NA>3폐업2폐업20211026<NA><NA><NA>571 7608179.56137160서울특별시 서초구 신원동 193-8 2층서울특별시 서초구 청계산로 235, 2층 (신원동)6802월악산 숯타일2021-10-26 09:20:19U2021-10-28 02:40:00.0찜질시설서비스영업205062.232093438068.094636찜질시설서비스영업002200000Y0<NA><NA><NA>임대00000N
17832100003210000-202-2017-0000220171208<NA>1영업/정상1영업<NA><NA><NA><NA>525 8225275.00137874서울특별시 서초구 서초동 1573-14 지하 2층서울특별시 서초구 반포대로30길 81, 웅진타워 지하 2층 (서초동)6644썬 사우나(sun sauna)2020-11-10 14:43:22U2020-11-12 02:40:00.0공동탕업201068.5429443409.058378공동탕업00<NA><NA>22001N0<NA><NA><NA>임대00000Y
17932100003210000-202-2018-0000120180723<NA>1영업/정상1영업<NA><NA><NA><NA>02511 3788259.00137810서울특별시 서초구 반포동 734-26 지하1서울특별시 서초구 사평대로55길 47, 지하1층 (반포동)6540라일락 여성 전용 사우나2021-10-05 12:31:02U2021-10-07 02:40:00.0공동탕업+찜질시설서비스영업201859.490892444875.782323공동탕업+찜질시설서비스영업51<NA><NA>11001Y0<NA><NA><NA>임대00000N
18032100003210000-202-2018-0000220180927<NA>1영업/정상1영업<NA><NA><NA><NA>02620073001,182.00137160서울특별시 서초구 신원동 271-21 지하1층서울특별시 서초구 청계산로9길 1-7, 오라카이 청계산호텔 지하1층 (신원동)6802오라카이 청계산호텔 사우나2020-06-29 14:18:27U2020-07-01 02:40:00.0공동탕업204783.612471438520.182014공동탕업53<NA><NA>11008Y0<NA><NA><NA>자가00000Y
18132100003210000-202-2019-0000120191023<NA>3폐업2폐업20220719<NA><NA><NA><NA>1,084.07137802서울특별시 서초구 반포동 50-12 지하1,2층서울특별시 서초구 서초중앙로31길 6-3, 지하1,2층 (반포동)6593스마일 스파2022-07-19 10:22:48U2021-12-06 22:01:00.0공동탕업+찜질시설서비스영업200931.030899444209.998155<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18232100003210000-202-2020-0000120200224<NA>3폐업2폐업20210616<NA><NA><NA>0234820882227.02137828서울특별시 서초구 방배동 755-5 지1층 지101호서울특별시 서초구 방배중앙로 198, 지1층 지101호 (방배동)6552베버리스파사우나2021-06-16 09:03:24U2021-06-18 02:40:00.0공동탕업198660.616347443855.573402공동탕업00<NA><NA>11002N0<NA><NA><NA>임대00000N
18332100003210000-202-2021-0000120210104<NA>1영업/정상1영업<NA><NA><NA><NA>02 5754562395.00137898서울특별시 서초구 양재동 365서울특별시 서초구 강남대로6길 108-4, 지하1층 (양재동)6789건희 목욕탕2021-11-01 14:00:35U2021-11-03 02:40:00.0공동탕업203982.973731440836.878317공동탕업000011002Y0<NA><NA><NA>자가00000N
18432100003210000-202-2021-000022021-01-12<NA>1영업/정상1영업<NA><NA><NA><NA>02 69537134262.30137-170서울특별시 서초구 염곡동 180-2 내곡동종합시설서울특별시 서초구 염곡말길 9, 1층 (염곡동)6793서초구립느티나무쉼터 내곡느티사우나2023-04-03 18:15:54U2022-12-04 00:05:00.0공동탕업204418.836684439958.443579<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18532100003210000-202-2021-0000320210309<NA>1영업/정상1영업<NA><NA><NA><NA>02 532 6921293.74137830서울특별시 서초구 방배동 796-27 넥센강남타워 지하2층서울특별시 서초구 방배로 226, 넥센강남타워 지하2층 (방배동)6584주식회사 자마이카휘트니스2021-03-09 15:28:00I2021-03-11 00:23:00.0공동탕업199106.271026443467.016326공동탕업000022002Y0<NA><NA><NA>임대00000N
18632100003210000-202-2021-0000420210903<NA>1영업/정상1영업<NA><NA><NA><NA><NA>216.25137860서울특별시 서초구 서초동 1338-21 코리아비지니스센타서울특별시 서초구 강남대로 309, 코리아비지니스센타 지하1층 1호~4호,8호 (서초동)6628강남코리아 대중탕2022-12-05 09:28:18U2021-11-02 00:07:00.0공동탕업202623.297219443154.964347<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>