Overview

Dataset statistics

Number of variables47
Number of observations261
Missing cells2792
Missing cells (%)22.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory103.1 KiB
Average record size in memory404.5 B

Variable types

Categorical18
Text6
DateTime4
Unsupported7
Numeric10
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17451/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (67.1%)Imbalance
위생업태명 is highly imbalanced (50.8%)Imbalance
여성종사자수 is highly imbalanced (73.1%)Imbalance
남성종사자수 is highly imbalanced (73.1%)Imbalance
인허가취소일자 has 261 (100.0%) missing valuesMissing
폐업일자 has 70 (26.8%) missing valuesMissing
휴업시작일자 has 261 (100.0%) missing valuesMissing
휴업종료일자 has 261 (100.0%) missing valuesMissing
재개업일자 has 261 (100.0%) missing valuesMissing
전화번호 has 10 (3.8%) missing valuesMissing
도로명주소 has 129 (49.4%) missing valuesMissing
도로명우편번호 has 133 (51.0%) missing valuesMissing
좌표정보(X) has 20 (7.7%) missing valuesMissing
좌표정보(Y) has 20 (7.7%) missing valuesMissing
건물지상층수 has 49 (18.8%) missing valuesMissing
사용시작지상층 has 50 (19.2%) missing valuesMissing
사용끝지상층 has 124 (47.5%) missing valuesMissing
한실수 has 61 (23.4%) missing valuesMissing
양실수 has 50 (19.2%) missing valuesMissing
욕실수 has 80 (30.7%) missing valuesMissing
발한실여부 has 44 (16.9%) missing valuesMissing
좌석수 has 81 (31.0%) missing valuesMissing
조건부허가신고사유 has 261 (100.0%) missing valuesMissing
조건부허가시작일자 has 261 (100.0%) missing valuesMissing
조건부허가종료일자 has 261 (100.0%) missing valuesMissing
다중이용업소여부 has 44 (16.9%) 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 75 (28.7%) zerosZeros
사용시작지상층 has 75 (28.7%) zerosZeros
한실수 has 31 (11.9%) zerosZeros
양실수 has 11 (4.2%) zerosZeros
욕실수 has 65 (24.9%) zerosZeros
좌석수 has 65 (24.9%) zerosZeros

Reproduction

Analysis started2024-04-29 19:19:44.296987
Analysis finished2024-04-29 19:19:45.171757
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3240000
261 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 261
100.0%

Length

2024-04-30T04:19:45.233605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:45.304724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 261
100.0%

관리번호
Text

UNIQUE 

Distinct261
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-30T04:19:45.449739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5742
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

Unique261 ?
Unique (%)100.0%

Sample

1st row3240000-201-1966-00045
2nd row3240000-201-1967-00037
3rd row3240000-201-1967-00048
4th row3240000-201-1967-00146
5th row3240000-201-1968-00026
ValueCountFrequency (%)
3240000-201-1966-00045 1
 
0.4%
3240000-201-1999-00093 1
 
0.4%
3240000-201-2001-00019 1
 
0.4%
3240000-201-2001-00020 1
 
0.4%
3240000-201-2001-00022 1
 
0.4%
3240000-201-2001-00023 1
 
0.4%
3240000-201-2001-00024 1
 
0.4%
3240000-201-2001-00026 1
 
0.4%
3240000-201-2001-00028 1
 
0.4%
3240000-201-2001-00029 1
 
0.4%
Other values (251) 251
96.2%
2024-04-30T04:19:45.732846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2381
41.5%
- 783
 
13.6%
2 771
 
13.4%
1 592
 
10.3%
3 381
 
6.6%
4 319
 
5.6%
9 209
 
3.6%
8 139
 
2.4%
7 67
 
1.2%
6 50
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4959
86.4%
Dash Punctuation 783
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2381
48.0%
2 771
 
15.5%
1 592
 
11.9%
3 381
 
7.7%
4 319
 
6.4%
9 209
 
4.2%
8 139
 
2.8%
7 67
 
1.4%
6 50
 
1.0%
5 50
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 783
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5742
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2381
41.5%
- 783
 
13.6%
2 771
 
13.4%
1 592
 
10.3%
3 381
 
6.6%
4 319
 
5.6%
9 209
 
3.6%
8 139
 
2.4%
7 67
 
1.2%
6 50
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2381
41.5%
- 783
 
13.6%
2 771
 
13.4%
1 592
 
10.3%
3 381
 
6.6%
4 319
 
5.6%
9 209
 
3.6%
8 139
 
2.4%
7 67
 
1.2%
6 50
 
0.9%
Distinct230
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1966-05-26 00:00:00
Maximum2023-12-14 00:00:00
2024-04-30T04:19:45.862484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:19:45.979501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing261
Missing (%)100.0%
Memory size2.4 KiB
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
191 
1
70 

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 (%)
3 191
73.2%
1 70
 
26.8%

Length

2024-04-30T04:19:46.099052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:46.177841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 191
73.2%
1 70
 
26.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업
191 
영업/정상
70 

Length

Max length5
Median length2
Mean length2.8045977
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 191
73.2%
영업/정상 70
 
26.8%

Length

2024-04-30T04:19:46.260051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:46.338531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 191
73.2%
영업/정상 70
 
26.8%
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2
191 
1
70 

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 (%)
2 191
73.2%
1 70
 
26.8%

Length

2024-04-30T04:19:46.414179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:46.488744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 191
73.2%
1 70
 
26.8%
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업
191 
영업
70 

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 191
73.2%
영업 70
 
26.8%

Length

2024-04-30T04:19:46.562306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:46.636656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 191
73.2%
영업 70
 
26.8%

폐업일자
Date

MISSING 

Distinct184
Distinct (%)96.3%
Missing70
Missing (%)26.8%
Memory size2.2 KiB
Minimum1992-11-24 00:00:00
Maximum2023-12-14 00:00:00
2024-04-30T04:19:46.726524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:19:46.859545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing261
Missing (%)100.0%
Memory size2.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing261
Missing (%)100.0%
Memory size2.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing261
Missing (%)100.0%
Memory size2.4 KiB

전화번호
Text

MISSING 

Distinct212
Distinct (%)84.5%
Missing10
Missing (%)3.8%
Memory size2.2 KiB
2024-04-30T04:19:47.099623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.2151394
Min length2

Characters and Unicode

Total characters2313
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

Unique202 ?
Unique (%)80.5%

Sample

1st row02 4722205
2nd row02 4780491
3rd row02
4th row0204783173
5th row0204780272
ValueCountFrequency (%)
02 191
43.9%
470 3
 
0.7%
4788840 2
 
0.5%
474 2
 
0.5%
478 2
 
0.5%
487 2
 
0.5%
485 2
 
0.5%
0204837676 2
 
0.5%
488 2
 
0.5%
4777894 2
 
0.5%
Other values (219) 225
51.7%
2024-04-30T04:19:47.434548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 433
18.7%
2 396
17.1%
4 323
14.0%
7 251
10.9%
209
9.0%
8 203
8.8%
5 111
 
4.8%
3 105
 
4.5%
1 101
 
4.4%
6 96
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2104
91.0%
Space Separator 209
 
9.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 433
20.6%
2 396
18.8%
4 323
15.4%
7 251
11.9%
8 203
9.6%
5 111
 
5.3%
3 105
 
5.0%
1 101
 
4.8%
6 96
 
4.6%
9 85
 
4.0%
Space Separator
ValueCountFrequency (%)
209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 433
18.7%
2 396
17.1%
4 323
14.0%
7 251
10.9%
209
9.0%
8 203
8.8%
5 111
 
4.8%
3 105
 
4.5%
1 101
 
4.4%
6 96
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 433
18.7%
2 396
17.1%
4 323
14.0%
7 251
10.9%
209
9.0%
8 203
8.8%
5 111
 
4.8%
3 105
 
4.5%
1 101
 
4.4%
6 96
 
4.2%
Distinct228
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-30T04:19:47.731655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.0651341
Min length3

Characters and Unicode

Total characters1583
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

Unique204 ?
Unique (%)78.2%

Sample

1st row103.66
2nd row378.45
3rd row304.94
4th row519.21
5th row70.21
ValueCountFrequency (%)
00 11
 
4.2%
984.99 2
 
0.8%
526.20 2
 
0.8%
486.00 2
 
0.8%
727.00 2
 
0.8%
195.08 2
 
0.8%
254.01 2
 
0.8%
508.15 2
 
0.8%
779.52 2
 
0.8%
687.30 2
 
0.8%
Other values (218) 232
88.9%
2024-04-30T04:19:48.113082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 261
16.5%
0 190
12.0%
1 155
9.8%
4 129
8.1%
8 127
8.0%
2 123
7.8%
5 119
7.5%
9 116
7.3%
6 115
7.3%
3 109
6.9%
Other values (2) 139
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1292
81.6%
Other Punctuation 291
 
18.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
14.7%
1 155
12.0%
4 129
10.0%
8 127
9.8%
2 123
9.5%
5 119
9.2%
9 116
9.0%
6 115
8.9%
3 109
8.4%
7 109
8.4%
Other Punctuation
ValueCountFrequency (%)
. 261
89.7%
, 30
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1583
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 261
16.5%
0 190
12.0%
1 155
9.8%
4 129
8.1%
8 127
8.0%
2 123
7.8%
5 119
7.5%
9 116
7.3%
6 115
7.3%
3 109
6.9%
Other values (2) 139
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 261
16.5%
0 190
12.0%
1 155
9.8%
4 129
8.1%
8 127
8.0%
2 123
7.8%
5 119
7.5%
9 116
7.3%
6 115
7.3%
3 109
6.9%
Other values (2) 139
8.8%
Distinct41
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
134874
46 
134814
38 
134864
24 
134880
20 
134873
19 
Other values (36)
114 

Length

Max length7
Median length6
Mean length6.091954
Min length6

Unique

Unique16 ?
Unique (%)6.1%

Sample

1st row134873
2nd row134864
3rd row134873
4th row134874
5th row134874

Common Values

ValueCountFrequency (%)
134874 46
17.6%
134814 38
14.6%
134864 24
 
9.2%
134880 20
 
7.7%
134873 19
 
7.3%
134868 18
 
6.9%
134871 11
 
4.2%
134859 8
 
3.1%
134869 6
 
2.3%
134817 5
 
1.9%
Other values (31) 66
25.3%

Length

2024-04-30T04:19:48.229627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
134874 46
17.6%
134814 38
14.6%
134864 24
 
9.2%
134880 20
 
7.7%
134873 19
 
7.3%
134868 18
 
6.9%
134871 11
 
4.2%
134859 8
 
3.1%
134869 6
 
2.3%
134-814 5
 
1.9%
Other values (31) 66
25.3%
Distinct232
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-30T04:19:48.479856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length31
Mean length21.689655
Min length18

Characters and Unicode

Total characters5661
Distinct characters73
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

Unique207 ?
Unique (%)79.3%

Sample

1st row서울특별시 강동구 천호동 437-8번지
2nd row서울특별시 강동구 천호동 453-9번지
3rd row서울특별시 강동구 천호동 419-1번지 420-4
4th row서울특별시 강동구 천호동 455-2번지
5th row서울특별시 강동구 천호동 462-6번지
ValueCountFrequency (%)
서울특별시 261
24.7%
강동구 261
24.7%
천호동 151
14.3%
길동 71
 
6.7%
암사동 16
 
1.5%
성내동 12
 
1.1%
둔촌동 7
 
0.7%
416-5번지 4
 
0.4%
425-14번지 3
 
0.3%
416-20번지 3
 
0.3%
Other values (240) 269
25.4%
2024-04-30T04:19:48.843989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1014
17.9%
523
 
9.2%
262
 
4.6%
262
 
4.6%
261
 
4.6%
261
 
4.6%
261
 
4.6%
261
 
4.6%
261
 
4.6%
- 251
 
4.4%
Other values (63) 2044
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3211
56.7%
Decimal Number 1178
 
20.8%
Space Separator 1014
 
17.9%
Dash Punctuation 251
 
4.4%
Other Punctuation 4
 
0.1%
Close Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
523
16.3%
262
8.2%
262
8.2%
261
8.1%
261
8.1%
261
8.1%
261
8.1%
261
8.1%
181
 
5.6%
180
 
5.6%
Other values (46) 498
15.5%
Decimal Number
ValueCountFrequency (%)
4 245
20.8%
1 187
15.9%
3 168
14.3%
5 131
11.1%
2 116
9.8%
6 84
 
7.1%
8 74
 
6.3%
7 69
 
5.9%
0 57
 
4.8%
9 47
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1014
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3211
56.7%
Common 2449
43.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
523
16.3%
262
8.2%
262
8.2%
261
8.1%
261
8.1%
261
8.1%
261
8.1%
261
8.1%
181
 
5.6%
180
 
5.6%
Other values (46) 498
15.5%
Common
ValueCountFrequency (%)
1014
41.4%
- 251
 
10.2%
4 245
 
10.0%
1 187
 
7.6%
3 168
 
6.9%
5 131
 
5.3%
2 116
 
4.7%
6 84
 
3.4%
8 74
 
3.0%
7 69
 
2.8%
Other values (6) 110
 
4.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3211
56.7%
ASCII 2450
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1014
41.4%
- 251
 
10.2%
4 245
 
10.0%
1 187
 
7.6%
3 168
 
6.9%
5 131
 
5.3%
2 116
 
4.7%
6 84
 
3.4%
8 74
 
3.0%
7 69
 
2.8%
Other values (7) 111
 
4.5%
Hangul
ValueCountFrequency (%)
523
16.3%
262
8.2%
262
8.2%
261
8.1%
261
8.1%
261
8.1%
261
8.1%
261
8.1%
181
 
5.6%
180
 
5.6%
Other values (46) 498
15.5%

도로명주소
Text

MISSING 

Distinct130
Distinct (%)98.5%
Missing129
Missing (%)49.4%
Memory size2.2 KiB
2024-04-30T04:19:49.132309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length25.734848
Min length21

Characters and Unicode

Total characters3397
Distinct characters69
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)97.0%

Sample

1st row서울특별시 강동구 구천면로21길 24-14 (천호동)
2nd row서울특별시 강동구 올림픽로80길 32-17 (천호동)
3rd row서울특별시 강동구 올림픽로80길 56-12 (천호동)
4th row서울특별시 강동구 올림픽로80길 50 (천호동)
5th row서울특별시 강동구 구천면로28길 15 (천호동)
ValueCountFrequency (%)
서울특별시 132
19.8%
강동구 132
19.8%
천호동 72
 
10.8%
길동 39
 
5.8%
진황도로 13
 
1.9%
천중로40길 8
 
1.2%
올림픽로70길 8
 
1.2%
올림픽로72길 7
 
1.0%
올림픽로 7
 
1.0%
암사동 7
 
1.0%
Other values (154) 243
36.4%
2024-04-30T04:19:49.529296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
536
 
15.8%
265
 
7.8%
151
 
4.4%
136
 
4.0%
132
 
3.9%
132
 
3.9%
( 132
 
3.9%
) 132
 
3.9%
132
 
3.9%
132
 
3.9%
Other values (59) 1517
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2017
59.4%
Space Separator 536
 
15.8%
Decimal Number 536
 
15.8%
Open Punctuation 132
 
3.9%
Close Punctuation 132
 
3.9%
Dash Punctuation 35
 
1.0%
Other Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
265
13.1%
151
 
7.5%
136
 
6.7%
132
 
6.5%
132
 
6.5%
132
 
6.5%
132
 
6.5%
132
 
6.5%
132
 
6.5%
131
 
6.5%
Other values (44) 542
26.9%
Decimal Number
ValueCountFrequency (%)
1 99
18.5%
2 77
14.4%
7 65
12.1%
4 61
11.4%
0 55
10.3%
5 41
7.6%
3 40
7.5%
9 37
 
6.9%
8 31
 
5.8%
6 30
 
5.6%
Space Separator
ValueCountFrequency (%)
536
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2017
59.4%
Common 1380
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
265
13.1%
151
 
7.5%
136
 
6.7%
132
 
6.5%
132
 
6.5%
132
 
6.5%
132
 
6.5%
132
 
6.5%
132
 
6.5%
131
 
6.5%
Other values (44) 542
26.9%
Common
ValueCountFrequency (%)
536
38.8%
( 132
 
9.6%
) 132
 
9.6%
1 99
 
7.2%
2 77
 
5.6%
7 65
 
4.7%
4 61
 
4.4%
0 55
 
4.0%
5 41
 
3.0%
3 40
 
2.9%
Other values (5) 142
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2017
59.4%
ASCII 1380
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
536
38.8%
( 132
 
9.6%
) 132
 
9.6%
1 99
 
7.2%
2 77
 
5.6%
7 65
 
4.7%
4 61
 
4.4%
0 55
 
4.0%
5 41
 
3.0%
3 40
 
2.9%
Other values (5) 142
 
10.3%
Hangul
ValueCountFrequency (%)
265
13.1%
151
 
7.5%
136
 
6.7%
132
 
6.5%
132
 
6.5%
132
 
6.5%
132
 
6.5%
132
 
6.5%
132
 
6.5%
131
 
6.5%
Other values (44) 542
26.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)25.8%
Missing133
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean5326.7734
Minimum5241
Maximum5406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:49.645840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5241
5-th percentile5245
Q15326
median5329
Q35353
95-th percentile5364
Maximum5406
Range165
Interquartile range (IQR)27

Descriptive statistics

Standard deviation36.928792
Coefficient of variation (CV)0.0069326755
Kurtosis0.84138688
Mean5326.7734
Median Absolute Deviation (MAD)24
Skewness-1.0282344
Sum681827
Variance1363.7357
MonotonicityNot monotonic
2024-04-30T04:19:49.747602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5353 19
 
7.3%
5328 17
 
6.5%
5354 10
 
3.8%
5327 10
 
3.8%
5335 8
 
3.1%
5329 8
 
3.1%
5334 7
 
2.7%
5326 7
 
2.7%
5355 6
 
2.3%
5244 4
 
1.5%
Other values (23) 32
 
12.3%
(Missing) 133
51.0%
ValueCountFrequency (%)
5241 1
 
0.4%
5242 1
 
0.4%
5244 4
1.5%
5245 3
1.1%
5246 4
1.5%
5251 2
0.8%
5264 2
0.8%
5265 1
 
0.4%
5269 1
 
0.4%
5292 1
 
0.4%
ValueCountFrequency (%)
5406 1
 
0.4%
5405 1
 
0.4%
5404 1
 
0.4%
5385 1
 
0.4%
5381 1
 
0.4%
5370 1
 
0.4%
5364 2
 
0.8%
5355 6
 
2.3%
5354 10
3.8%
5353 19
7.3%
Distinct246
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-30T04:19:49.980549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.045977
Min length1

Characters and Unicode

Total characters1056
Distinct characters226
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)89.3%

Sample

1st row선일
2nd row세화
3rd row청아
4th row성림장
5th row세원
ValueCountFrequency (%)
여인숙 7
 
2.5%
호텔 6
 
2.1%
부여여관 3
 
1.1%
장미 3
 
1.1%
신라모텔 2
 
0.7%
발리모텔 2
 
0.7%
모텔 2
 
0.7%
신라장 2
 
0.7%
반도장 2
 
0.7%
중앙 2
 
0.7%
Other values (245) 253
89.1%
2024-04-30T04:19:50.355382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
8.0%
78
 
7.4%
54
 
5.1%
40
 
3.8%
38
 
3.6%
26
 
2.5%
25
 
2.4%
23
 
2.2%
22
 
2.1%
17
 
1.6%
Other values (216) 649
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 931
88.2%
Uppercase Letter 47
 
4.5%
Space Separator 23
 
2.2%
Lowercase Letter 16
 
1.5%
Close Punctuation 12
 
1.1%
Open Punctuation 12
 
1.1%
Decimal Number 11
 
1.0%
Dash Punctuation 3
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
84
 
9.0%
78
 
8.4%
54
 
5.8%
40
 
4.3%
38
 
4.1%
26
 
2.8%
25
 
2.7%
22
 
2.4%
17
 
1.8%
17
 
1.8%
Other values (178) 530
56.9%
Uppercase Letter
ValueCountFrequency (%)
L 6
12.8%
H 6
12.8%
M 5
10.6%
I 5
10.6%
T 5
10.6%
O 4
8.5%
A 3
6.4%
R 3
6.4%
E 2
 
4.3%
W 2
 
4.3%
Other values (5) 6
12.8%
Lowercase Letter
ValueCountFrequency (%)
i 3
18.8%
t 2
12.5%
e 2
12.5%
l 2
12.5%
r 2
12.5%
n 1
 
6.2%
u 1
 
6.2%
p 1
 
6.2%
y 1
 
6.2%
o 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
5 2
18.2%
2 2
18.2%
3 2
18.2%
4 1
9.1%
6 1
9.1%
8 1
9.1%
7 1
9.1%
1 1
9.1%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 930
88.1%
Latin 63
 
6.0%
Common 62
 
5.9%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
84
 
9.0%
78
 
8.4%
54
 
5.8%
40
 
4.3%
38
 
4.1%
26
 
2.8%
25
 
2.7%
22
 
2.4%
17
 
1.8%
17
 
1.8%
Other values (177) 529
56.9%
Latin
ValueCountFrequency (%)
L 6
 
9.5%
H 6
 
9.5%
M 5
 
7.9%
I 5
 
7.9%
T 5
 
7.9%
O 4
 
6.3%
i 3
 
4.8%
A 3
 
4.8%
R 3
 
4.8%
E 2
 
3.2%
Other values (15) 21
33.3%
Common
ValueCountFrequency (%)
23
37.1%
) 12
19.4%
( 12
19.4%
- 3
 
4.8%
5 2
 
3.2%
2 2
 
3.2%
3 2
 
3.2%
4 1
 
1.6%
6 1
 
1.6%
8 1
 
1.6%
Other values (3) 3
 
4.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 930
88.1%
ASCII 125
 
11.8%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
84
 
9.0%
78
 
8.4%
54
 
5.8%
40
 
4.3%
38
 
4.1%
26
 
2.8%
25
 
2.7%
22
 
2.4%
17
 
1.8%
17
 
1.8%
Other values (177) 529
56.9%
ASCII
ValueCountFrequency (%)
23
18.4%
) 12
 
9.6%
( 12
 
9.6%
L 6
 
4.8%
H 6
 
4.8%
M 5
 
4.0%
I 5
 
4.0%
T 5
 
4.0%
O 4
 
3.2%
i 3
 
2.4%
Other values (28) 44
35.2%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct224
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1999-03-03 00:00:00
Maximum2024-04-22 15:21:21
2024-04-30T04:19:50.491396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:19:50.621873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
I
159 
U
102 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 159
60.9%
U 102
39.1%

Length

2024-04-30T04:19:50.729045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:50.808563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 159
60.9%
u 102
39.1%
Distinct87
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-04-30T04:19:51.128683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:19:51.264495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
여관업
233 
일반호텔
 
12
여인숙업
 
9
관광호텔
 
7

Length

Max length4
Median length3
Mean length3.1072797
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여관업 233
89.3%
일반호텔 12
 
4.6%
여인숙업 9
 
3.4%
관광호텔 7
 
2.7%

Length

2024-04-30T04:19:51.370271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:51.447026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 233
89.3%
일반호텔 12
 
4.6%
여인숙업 9
 
3.4%
관광호텔 7
 
2.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct186
Distinct (%)77.2%
Missing20
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean211495.23
Minimum210529.18
Maximum213632.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:51.535007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210529.18
5-th percentile210825.11
Q1211025.92
median211325.52
Q3212002.99
95-th percentile212212.69
Maximum213632.14
Range3102.9577
Interquartile range (IQR)977.06998

Descriptive statistics

Standard deviation544.13048
Coefficient of variation (CV)0.0025727789
Kurtosis-0.35657031
Mean211495.23
Median Absolute Deviation (MAD)388.85653
Skewness0.5420892
Sum50970351
Variance296077.98
MonotonicityNot monotonic
2024-04-30T04:19:51.655507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211080.924701849 4
 
1.5%
211008.353917743 3
 
1.1%
211778.410242578 3
 
1.1%
211753.220362354 2
 
0.8%
210905.120429143 2
 
0.8%
211415.118729172 2
 
0.8%
212091.718187686 2
 
0.8%
210977.157996199 2
 
0.8%
211963.787409013 2
 
0.8%
212087.2715 2
 
0.8%
Other values (176) 217
83.1%
(Missing) 20
 
7.7%
ValueCountFrequency (%)
210529.18367438 1
0.4%
210632.575128544 2
0.8%
210651.679025419 1
0.4%
210667.748905571 1
0.4%
210692.367556824 2
0.8%
210710.526860304 2
0.8%
210777.642852585 1
0.4%
210804.329104051 1
0.4%
210804.715644314 1
0.4%
210825.108499502 1
0.4%
ValueCountFrequency (%)
213632.141350282 1
0.4%
212717.886022653 1
0.4%
212654.14359939 1
0.4%
212610.638199054 2
0.8%
212568.527821537 1
0.4%
212519.352812937 2
0.8%
212506.489308263 2
0.8%
212500.944333676 1
0.4%
212318.951095265 1
0.4%
212212.69263868 2
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct186
Distinct (%)77.2%
Missing20
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean448610.47
Minimum447129.96
Maximum450264.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:51.773609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447129.96
5-th percentile447603.62
Q1448316.09
median448554.77
Q3448816.86
95-th percentile449810.4
Maximum450264.13
Range3134.1744
Interquartile range (IQR)500.7663

Descriptive statistics

Standard deviation555.96503
Coefficient of variation (CV)0.0012393046
Kurtosis1.4964103
Mean448610.47
Median Absolute Deviation (MAD)249.86387
Skewness0.62376652
Sum1.0811512 × 108
Variance309097.12
MonotonicityNot monotonic
2024-04-30T04:19:51.902852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448665.20259174 4
 
1.5%
448793.531282568 3
 
1.1%
449314.945350405 3
 
1.1%
449490.298389806 2
 
0.8%
448608.917149869 2
 
0.8%
448573.665726296 2
 
0.8%
448438.595701434 2
 
0.8%
448582.357085194 2
 
0.8%
448212.012860784 2
 
0.8%
448423.5995 2
 
0.8%
Other values (176) 217
83.1%
(Missing) 20
 
7.7%
ValueCountFrequency (%)
447129.956812967 1
0.4%
447235.809183713 1
0.4%
447353.422469067 1
0.4%
447367.687644043 2
0.8%
447415.173700601 1
0.4%
447431.586848941 2
0.8%
447453.686764129 1
0.4%
447575.121214075 2
0.8%
447603.617955744 2
0.8%
447698.341915105 1
0.4%
ValueCountFrequency (%)
450264.131249974 1
0.4%
450261.169174695 2
0.8%
450254.344309555 1
0.4%
450219.470470663 1
0.4%
450066.954643234 1
0.4%
449914.079910592 2
0.8%
449882.950636731 1
0.4%
449873.290265424 1
0.4%
449823.926526829 1
0.4%
449811.294404877 1
0.4%

위생업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
여관업
197 
<NA>
44 
여인숙업
 
9
일반호텔
 
6
관광호텔
 
5

Length

Max length4
Median length3
Mean length3.2452107
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여관업 197
75.5%
<NA> 44
 
16.9%
여인숙업 9
 
3.4%
일반호텔 6
 
2.3%
관광호텔 5
 
1.9%

Length

2024-04-30T04:19:52.039636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:52.138783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 197
75.5%
na 44
 
16.9%
여인숙업 9
 
3.4%
일반호텔 6
 
2.3%
관광호텔 5
 
1.9%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)5.7%
Missing49
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean2.6320755
Minimum0
Maximum14
Zeros75
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:52.233277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q34
95-th percentile7.45
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5660026
Coefficient of variation (CV)0.97489703
Kurtosis1.1214511
Mean2.6320755
Median Absolute Deviation (MAD)2
Skewness0.91638054
Sum558
Variance6.5843691
MonotonicityNot monotonic
2024-04-30T04:19:52.332985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 75
28.7%
4 33
12.6%
3 32
12.3%
2 20
 
7.7%
5 18
 
6.9%
6 12
 
4.6%
1 8
 
3.1%
8 7
 
2.7%
7 3
 
1.1%
10 2
 
0.8%
Other values (2) 2
 
0.8%
(Missing) 49
18.8%
ValueCountFrequency (%)
0 75
28.7%
1 8
 
3.1%
2 20
 
7.7%
3 32
12.3%
4 33
12.6%
5 18
 
6.9%
6 12
 
4.6%
7 3
 
1.1%
8 7
 
2.7%
9 1
 
0.4%
ValueCountFrequency (%)
14 1
 
0.4%
10 2
 
0.8%
9 1
 
0.4%
8 7
 
2.7%
7 3
 
1.1%
6 12
 
4.6%
5 18
6.9%
4 33
12.6%
3 32
12.3%
2 20
7.7%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
129 
0
78 
<NA>
52 
2
 
2

Length

Max length4
Median length1
Mean length1.5977011
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 129
49.4%
0 78
29.9%
<NA> 52
19.9%
2 2
 
0.8%

Length

2024-04-30T04:19:52.435089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:52.516337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 129
49.4%
0 78
29.9%
na 52
19.9%
2 2
 
0.8%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.3%
Missing50
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean0.87677725
Minimum0
Maximum6
Zeros75
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:52.590798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.90183994
Coefficient of variation (CV)1.028585
Kurtosis6.4322196
Mean0.87677725
Median Absolute Deviation (MAD)1
Skewness1.8190417
Sum185
Variance0.81331528
MonotonicityNot monotonic
2024-04-30T04:19:52.686464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 102
39.1%
0 75
28.7%
2 25
 
9.6%
3 6
 
2.3%
6 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
(Missing) 50
19.2%
ValueCountFrequency (%)
0 75
28.7%
1 102
39.1%
2 25
 
9.6%
3 6
 
2.3%
4 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
ValueCountFrequency (%)
6 1
 
0.4%
5 1
 
0.4%
4 1
 
0.4%
3 6
 
2.3%
2 25
 
9.6%
1 102
39.1%
0 75
28.7%

사용끝지상층
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)8.8%
Missing124
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean3.9416058
Minimum0
Maximum12
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:52.790757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile8
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0319739
Coefficient of variation (CV)0.51551931
Kurtosis1.8047579
Mean3.9416058
Median Absolute Deviation (MAD)1
Skewness1.0889705
Sum540
Variance4.128918
MonotonicityNot monotonic
2024-04-30T04:19:52.914088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 37
 
14.2%
4 27
 
10.3%
2 20
 
7.7%
5 18
 
6.9%
6 11
 
4.2%
1 9
 
3.4%
7 5
 
1.9%
8 5
 
1.9%
10 2
 
0.8%
9 1
 
0.4%
Other values (2) 2
 
0.8%
(Missing) 124
47.5%
ValueCountFrequency (%)
0 1
 
0.4%
1 9
 
3.4%
2 20
7.7%
3 37
14.2%
4 27
10.3%
5 18
6.9%
6 11
 
4.2%
7 5
 
1.9%
8 5
 
1.9%
9 1
 
0.4%
ValueCountFrequency (%)
12 1
 
0.4%
10 2
 
0.8%
9 1
 
0.4%
8 5
 
1.9%
7 5
 
1.9%
6 11
 
4.2%
5 18
6.9%
4 27
10.3%
3 37
14.2%
2 20
7.7%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
138 
<NA>
103 
1
20 

Length

Max length4
Median length1
Mean length2.183908
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 138
52.9%
<NA> 103
39.5%
1 20
 
7.7%

Length

2024-04-30T04:19:53.031075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:53.133930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 138
52.9%
na 103
39.5%
1 20
 
7.7%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
177 
0
64 
1
18 
2
 
2

Length

Max length4
Median length4
Mean length3.0344828
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> 177
67.8%
0 64
 
24.5%
1 18
 
6.9%
2 2
 
0.8%

Length

2024-04-30T04:19:53.237555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:53.340960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
67.8%
0 64
 
24.5%
1 18
 
6.9%
2 2
 
0.8%

한실수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)11.0%
Missing61
Missing (%)23.4%
Infinite0
Infinite (%)0.0%
Mean8.195
Minimum0
Maximum32
Zeros31
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:53.419354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.75
median8
Q311.25
95-th percentile18
Maximum32
Range32
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.5299073
Coefficient of variation (CV)0.67479039
Kurtosis1.0564698
Mean8.195
Median Absolute Deviation (MAD)3.5
Skewness0.51578814
Sum1639
Variance30.579874
MonotonicityNot monotonic
2024-04-30T04:19:53.512233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 31
11.9%
10 23
 
8.8%
11 17
 
6.5%
6 14
 
5.4%
7 14
 
5.4%
13 13
 
5.0%
8 12
 
4.6%
12 12
 
4.6%
5 11
 
4.2%
9 9
 
3.4%
Other values (12) 44
16.9%
(Missing) 61
23.4%
ValueCountFrequency (%)
0 31
11.9%
1 1
 
0.4%
2 4
 
1.5%
3 8
 
3.1%
4 6
 
2.3%
5 11
 
4.2%
6 14
5.4%
7 14
5.4%
8 12
 
4.6%
9 9
 
3.4%
ValueCountFrequency (%)
32 1
 
0.4%
25 1
 
0.4%
20 5
 
1.9%
19 2
 
0.8%
18 2
 
0.8%
16 3
 
1.1%
15 5
 
1.9%
14 6
2.3%
13 13
5.0%
12 12
4.6%

양실수
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)21.3%
Missing50
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean16.853081
Minimum0
Maximum94
Zeros11
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:53.623231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19.5
median13
Q321.5
95-th percentile40
Maximum94
Range94
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.270886
Coefficient of variation (CV)0.78744569
Kurtosis9.4260874
Mean16.853081
Median Absolute Deviation (MAD)6
Skewness2.3450209
Sum3556
Variance176.11641
MonotonicityNot monotonic
2024-04-30T04:19:53.746940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
10 34
13.0%
15 16
 
6.1%
20 12
 
4.6%
0 11
 
4.2%
13 10
 
3.8%
5 10
 
3.8%
7 10
 
3.8%
9 10
 
3.8%
6 7
 
2.7%
11 7
 
2.7%
Other values (35) 84
32.2%
(Missing) 50
19.2%
ValueCountFrequency (%)
0 11
 
4.2%
2 1
 
0.4%
4 1
 
0.4%
5 10
 
3.8%
6 7
 
2.7%
7 10
 
3.8%
8 3
 
1.1%
9 10
 
3.8%
10 34
13.0%
11 7
 
2.7%
ValueCountFrequency (%)
94 1
 
0.4%
92 1
 
0.4%
56 1
 
0.4%
53 1
 
0.4%
50 1
 
0.4%
46 1
 
0.4%
44 1
 
0.4%
42 1
 
0.4%
40 5
1.9%
39 2
 
0.8%

욕실수
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)19.9%
Missing80
Missing (%)30.7%
Infinite0
Infinite (%)0.0%
Mean14.81768
Minimum0
Maximum100
Zeros65
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:53.847003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q323
95-th percentile35
Maximum100
Range100
Interquartile range (IQR)23

Descriptive statistics

Standard deviation14.102203
Coefficient of variation (CV)0.95171467
Kurtosis5.7441453
Mean14.81768
Median Absolute Deviation (MAD)13
Skewness1.279096
Sum2682
Variance198.87213
MonotonicityNot monotonic
2024-04-30T04:19:53.955293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 65
24.9%
20 12
 
4.6%
22 9
 
3.4%
21 8
 
3.1%
19 7
 
2.7%
16 6
 
2.3%
26 6
 
2.3%
23 6
 
2.3%
24 5
 
1.9%
35 4
 
1.5%
Other values (26) 53
20.3%
(Missing) 80
30.7%
ValueCountFrequency (%)
0 65
24.9%
2 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
7 2
 
0.8%
10 2
 
0.8%
11 4
 
1.5%
12 1
 
0.4%
13 3
 
1.1%
14 3
 
1.1%
ValueCountFrequency (%)
100 1
 
0.4%
45 1
 
0.4%
40 2
0.8%
37 2
0.8%
36 3
1.1%
35 4
1.5%
34 1
 
0.4%
33 1
 
0.4%
32 1
 
0.4%
31 4
1.5%

발한실여부
Boolean

MISSING 

Distinct2
Distinct (%)0.9%
Missing44
Missing (%)16.9%
Memory size654.0 B
True
121 
False
96 
(Missing)
44 
ValueCountFrequency (%)
True 121
46.4%
False 96
36.8%
(Missing) 44
 
16.9%
2024-04-30T04:19:54.069004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)16.1%
Missing81
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean16.272222
Minimum0
Maximum188
Zeros65
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:19:54.155740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q323.25
95-th percentile42.2
Maximum188
Range188
Interquartile range (IQR)23.25

Descriptive statistics

Standard deviation19.394704
Coefficient of variation (CV)1.1918903
Kurtosis33.535028
Mean16.272222
Median Absolute Deviation (MAD)12
Skewness4.1683706
Sum2929
Variance376.15453
MonotonicityNot monotonic
2024-04-30T04:19:54.260635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 65
24.9%
20 33
12.6%
30 10
 
3.8%
14 9
 
3.4%
22 7
 
2.7%
26 7
 
2.7%
10 5
 
1.9%
28 5
 
1.9%
12 5
 
1.9%
18 5
 
1.9%
Other values (19) 29
 
11.1%
(Missing) 81
31.0%
ValueCountFrequency (%)
0 65
24.9%
4 1
 
0.4%
8 1
 
0.4%
10 5
 
1.9%
12 5
 
1.9%
14 9
 
3.4%
16 2
 
0.8%
18 5
 
1.9%
20 33
12.6%
22 7
 
2.7%
ValueCountFrequency (%)
188 1
 
0.4%
64 1
 
0.4%
62 1
 
0.4%
60 1
 
0.4%
52 2
0.8%
50 1
 
0.4%
46 2
0.8%
42 1
 
0.4%
40 3
1.1%
36 2
0.8%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing261
Missing (%)100.0%
Memory size2.4 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing261
Missing (%)100.0%
Memory size2.4 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing261
Missing (%)100.0%
Memory size2.4 KiB
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
123 
임대
118 
자가
20 

Length

Max length4
Median length2
Mean length2.9425287
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 123
47.1%
임대 118
45.2%
자가 20
 
7.7%

Length

2024-04-30T04:19:54.382771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:54.467655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
47.1%
임대 118
45.2%
자가 20
 
7.7%

세탁기수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
185 
0
76 

Length

Max length4
Median length4
Mean length3.1264368
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> 185
70.9%
0 76
29.1%

Length

2024-04-30T04:19:54.554370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:54.648302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 185
70.9%
0 76
29.1%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
249 
0
 
12

Length

Max length4
Median length4
Mean length3.862069
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> 249
95.4%
0 12
 
4.6%

Length

2024-04-30T04:19:54.730464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:54.808516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 249
95.4%
0 12
 
4.6%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
249 
0
 
12

Length

Max length4
Median length4
Mean length3.862069
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> 249
95.4%
0 12
 
4.6%

Length

2024-04-30T04:19:54.887819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:54.972009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 249
95.4%
0 12
 
4.6%

회수건조수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
186 
0
75 

Length

Max length4
Median length4
Mean length3.137931
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> 186
71.3%
0 75
28.7%

Length

2024-04-30T04:19:55.064732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:55.153683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
71.3%
0 75
28.7%

침대수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
186 
0
75 

Length

Max length4
Median length4
Mean length3.137931
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> 186
71.3%
0 75
28.7%

Length

2024-04-30T04:19:55.269191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:19:55.360817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
71.3%
0 75
28.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.5%
Missing44
Missing (%)16.9%
Memory size654.0 B
False
217 
(Missing)
44 
ValueCountFrequency (%)
False 217
83.1%
(Missing) 44
 
16.9%
2024-04-30T04:19:55.441987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
032400003240000-201-1966-0004519660526<NA>3폐업2폐업20151214<NA><NA><NA>02 4722205103.66134873서울특별시 강동구 천호동 437-8번지서울특별시 강동구 구천면로21길 24-14 (천호동)5327선일2003-07-04 00:00:00I2018-08-31 23:59:59.0여관업211072.154732448887.891284여관업2112<NA><NA>1055Y<NA><NA><NA><NA>임대<NA><NA><NA><NA><NA>N
132400003240000-201-1967-0003719671016<NA>3폐업2폐업19961220<NA><NA><NA>02 4780491378.45134864서울특별시 강동구 천호동 453-9번지<NA><NA>세화2002-06-06 00:00:00I2018-08-31 23:59:59.0여관업211214.169627448474.320451여관업000<NA>0<NA>131023Y20<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
232400003240000-201-1967-0004819671202<NA>3폐업2폐업20000721<NA><NA><NA>02304.94134873서울특별시 강동구 천호동 419-1번지 420-4<NA><NA>청아2002-06-06 00:00:00I2018-08-31 23:59:59.0여관업211157.041438448743.458673여관업000<NA>0<NA>7916Y18<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
332400003240000-201-1967-0014619670127<NA>3폐업2폐업19940509<NA><NA><NA>0204783173519.21134874서울특별시 강동구 천호동 455-2번지<NA><NA>성림장2002-06-06 00:00:00I2018-08-31 23:59:59.0여관업<NA><NA>여관업000<NA>0<NA>101020Y20<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
432400003240000-201-1968-0002619680330<NA>3폐업2폐업20010420<NA><NA><NA>020478027270.21134874서울특별시 강동구 천호동 462-6번지<NA><NA>세원2001-04-20 00:00:00I2018-08-31 23:59:59.0여관업210529.183674448775.726659여관업000<NA>0<NA>1000Y0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
532400003240000-201-1968-0015819681031<NA>3폐업2폐업20211210<NA><NA><NA>02 4783067114.71134873서울특별시 강동구 천호동 423-9서울특별시 강동구 올림픽로80길 32-17 (천호동)5327성동 여인숙2021-12-10 14:08:20U2021-12-12 02:40:00.0여관업211128.602568448918.335837여관업211211900Y0<NA><NA><NA>임대00000N
632400003240000-201-1968-0016919680123<NA>3폐업2폐업20211209<NA><NA><NA>0204704282105.46134873서울특별시 강동구 천호동 423-139서울특별시 강동구 올림픽로80길 56-12 (천호동)5326장미2021-12-09 15:05:03U2021-12-11 02:40:00.0여관업211227.452265448901.670997여관업2112001500N0<NA><NA><NA>임대00000N
732400003240000-201-1970-0004119700525<NA>3폐업2폐업20211220<NA><NA><NA>020474575092.56134873서울특별시 강동구 천호동 423-118서울특별시 강동구 올림픽로80길 50 (천호동)5326성도2021-12-20 14:49:00U2021-12-22 02:40:00.0여관업211226.464731448955.939482여관업2122005510Y10<NA><NA><NA>임대00000N
832400003240000-201-1970-0015219700109<NA>3폐업2폐업19970307<NA><NA><NA>020478591362.50134870서울특별시 강동구 천호동 375-14번지<NA><NA>장미1999-03-09 00:00:00I2018-08-31 23:59:59.0여인숙업<NA><NA>여인숙업000<NA>0<NA>1300N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
932400003240000-201-1970-0017019701217<NA>3폐업2폐업20001006<NA><NA><NA>0204831345102.97134870서울특별시 강동구 천호동 362-41번지<NA><NA>동호2000-10-07 00:00:00I2018-08-31 23:59:59.0여관업211238.292248448965.013766여관업000<NA>0<NA>877Y14<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
25132400003240000-201-2006-0000220060824<NA>1영업/정상1영업<NA><NA><NA><NA>02 464 8504946.96134874서울특별시 강동구 천호동 427-39번지서울특별시 강동구 올림픽로72길 19-4 (천호동)5328호텔 6월2018-02-20 14:48:18I2018-08-31 23:59:59.0여관업210995.547007448600.927666여관업8118000280N0<NA><NA><NA>자가0<NA><NA>00N
25232400003240000-201-2008-000012008-12-24<NA>1영업/정상1영업<NA><NA><NA><NA>02 487 48711861.48134-841서울특별시 강동구 성내동 199-7서울특별시 강동구 성안로 121 (성내동)5381월(月) 호텔2023-06-19 15:19:29U2022-12-05 22:01:00.0여관업211729.922598448004.907407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25332400003240000-201-2011-000012011-06-20<NA>3폐업2폐업2023-05-25<NA><NA><NA>02 472 9896802.00134-814서울특별시 강동구 길동 446-2서울특별시 강동구 진황도로 90-0 (길동)53552023-05-25 13:13:33U2022-12-04 22:07:00.0여관업211963.787409448212.012861<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25432400003240000-201-2011-000022011-12-30<NA>1영업/정상1영업<NA><NA><NA><NA>02 473 9998590.13134-814서울특별시 강동구 길동 413-14서울특별시 강동구 진황도로43길 3 (길동)5353하이스테이 강동432024-01-10 15:11:36U2023-11-30 23:02:00.0여관업212135.833474448176.32318<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25532400003240000-201-2012-000012012-09-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 478 25752571.59134-868서울특별시 강동구 천호동 324-39서울특별시 강동구 천중로 27 (천호동)5244바고관광호텔2023-04-14 10:31:16U2022-12-03 23:06:00.0관광호텔210981.596844449282.085359<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25632400003240000-201-2014-000012014-07-24<NA>1영업/정상1영업<NA><NA><NA><NA>02 485 85252983.87134-880서울특별시 강동구 길동 387-1서울특별시 강동구 천중로40길 63 (길동)5353하모니호텔2023-04-14 10:32:44U2022-12-03 23:06:00.0관광호텔212136.459032448450.725351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25732400003240000-201-2017-0000120171227<NA>1영업/정상1영업<NA><NA><NA><NA>02 474 77751,524.13134864서울특별시 강동구 천호동 452-30번지서울특별시 강동구 천호대로159길 22-36 (천호동)5335호텔 감2018-02-21 14:07:36I2018-08-31 23:59:59.0관광호텔211302.314479448470.034451관광호텔14100000370N0<NA><NA><NA>자가00000N
25832400003240000-201-2018-000012018-08-16<NA>3폐업2폐업2023-12-14<NA><NA><NA>02 342779791741.27134-874서울특별시 강동구 천호동 429-1 라뷰호텔서울특별시 강동구 올림픽로72길 11, 라뷰호텔 (천호동)5328라뷰호텔2023-12-14 15:44:10U2022-11-01 23:06:00.0일반호텔210964.817081448639.318258<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25932400003240000-201-2019-0000120190614<NA>1영업/정상1영업<NA><NA><NA><NA><NA>2,303.72134864서울특별시 강동구 천호동 452-12번지서울특별시 강동구 천호대로 1041-7 (천호동)5335아리아호텔2020-05-26 10:18:45U2020-05-28 02:40:00.0일반호텔211259.619503448429.766363일반호텔00112111530N0<NA><NA><NA>자가00000N
26032400003240000-201-2023-000012023-12-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1741.27134-874서울특별시 강동구 천호동 429-1 라뷰호텔서울특별시 강동구 올림픽로72길 11, 라뷰호텔 (천호동)5328라뷰호텔2023-12-18 15:49:16U2022-11-01 22:00:00.0일반호텔210964.817081448639.318258<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>