Overview

Dataset statistics

Number of variables47
Number of observations422
Missing cells3921
Missing cells (%)19.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory167.0 KiB
Average record size in memory405.3 B

Variable types

Categorical22
Text6
DateTime4
Unsupported7
Numeric6
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-17936/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (87.8%)Imbalance
위생업태명 is highly imbalanced (73.0%)Imbalance
인허가취소일자 has 422 (100.0%) missing valuesMissing
폐업일자 has 78 (18.5%) missing valuesMissing
휴업시작일자 has 422 (100.0%) missing valuesMissing
휴업종료일자 has 422 (100.0%) missing valuesMissing
재개업일자 has 422 (100.0%) missing valuesMissing
전화번호 has 93 (22.0%) missing valuesMissing
도로명주소 has 263 (62.3%) missing valuesMissing
도로명우편번호 has 264 (62.6%) missing valuesMissing
좌표정보(X) has 25 (5.9%) missing valuesMissing
좌표정보(Y) has 25 (5.9%) missing valuesMissing
건물지상층수 has 113 (26.8%) missing valuesMissing
발한실여부 has 34 (8.1%) missing valuesMissing
좌석수 has 44 (10.4%) missing valuesMissing
조건부허가신고사유 has 422 (100.0%) missing valuesMissing
조건부허가시작일자 has 422 (100.0%) missing valuesMissing
조건부허가종료일자 has 422 (100.0%) missing valuesMissing
다중이용업소여부 has 28 (6.6%) 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
소재지면적 has 39 (9.2%) zerosZeros
건물지상층수 has 203 (48.1%) zerosZeros
좌석수 has 45 (10.7%) zerosZeros

Reproduction

Analysis started2024-05-11 00:56:49.532416
Analysis finished2024-05-11 00:56:51.465686
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3090000
422 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 422
100.0%

Length

2024-05-11T00:56:51.795482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:52.291544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 422
100.0%

관리번호
Text

UNIQUE 

Distinct422
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T00:56:52.924724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters9284
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

Unique422 ?
Unique (%)100.0%

Sample

1st row3090000-203-1967-00932
2nd row3090000-203-1969-00195
3rd row3090000-203-1970-00192
4th row3090000-203-1970-00270
5th row3090000-203-1970-00933
ValueCountFrequency (%)
3090000-203-1967-00932 1
 
0.2%
3090000-203-2001-01154 1
 
0.2%
3090000-203-2002-00013 1
 
0.2%
3090000-203-2002-00012 1
 
0.2%
3090000-203-2002-00011 1
 
0.2%
3090000-203-2002-00010 1
 
0.2%
3090000-203-2002-00009 1
 
0.2%
3090000-203-2002-00008 1
 
0.2%
3090000-203-2002-00007 1
 
0.2%
3090000-203-2002-00006 1
 
0.2%
Other values (412) 412
97.6%
2024-05-11T00:56:54.101060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4034
43.5%
- 1266
 
13.6%
3 976
 
10.5%
9 929
 
10.0%
2 861
 
9.3%
1 591
 
6.4%
8 148
 
1.6%
5 125
 
1.3%
4 121
 
1.3%
7 119
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8018
86.4%
Dash Punctuation 1266
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4034
50.3%
3 976
 
12.2%
9 929
 
11.6%
2 861
 
10.7%
1 591
 
7.4%
8 148
 
1.8%
5 125
 
1.6%
4 121
 
1.5%
7 119
 
1.5%
6 114
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1266
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4034
43.5%
- 1266
 
13.6%
3 976
 
10.5%
9 929
 
10.0%
2 861
 
9.3%
1 591
 
6.4%
8 148
 
1.6%
5 125
 
1.3%
4 121
 
1.3%
7 119
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4034
43.5%
- 1266
 
13.6%
3 976
 
10.5%
9 929
 
10.0%
2 861
 
9.3%
1 591
 
6.4%
8 148
 
1.6%
5 125
 
1.3%
4 121
 
1.3%
7 119
 
1.3%

인허가일자
Date

Distinct388
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1967-06-10 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T00:56:54.731277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:56:55.452331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing422
Missing (%)100.0%
Memory size3.8 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3
344 
1
78 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 344
81.5%
1 78
 
18.5%

Length

2024-05-11T00:56:56.101889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:56.432093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 344
81.5%
1 78
 
18.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
344 
영업/정상
78 

Length

Max length5
Median length2
Mean length2.5545024
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 344
81.5%
영업/정상 78
 
18.5%

Length

2024-05-11T00:56:56.834018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:57.324411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 344
81.5%
영업/정상 78
 
18.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2
344 
1
78 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 344
81.5%
1 78
 
18.5%

Length

2024-05-11T00:56:57.963697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:58.543178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 344
81.5%
1 78
 
18.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
344 
영업
78 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 344
81.5%
영업 78
 
18.5%

Length

2024-05-11T00:56:58.918054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:59.422808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 344
81.5%
영업 78
 
18.5%

폐업일자
Date

MISSING 

Distinct273
Distinct (%)79.4%
Missing78
Missing (%)18.5%
Memory size3.4 KiB
Minimum1994-09-30 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T00:56:59.964164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:57:00.779973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing422
Missing (%)100.0%
Memory size3.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing422
Missing (%)100.0%
Memory size3.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing422
Missing (%)100.0%
Memory size3.8 KiB

전화번호
Text

MISSING 

Distinct285
Distinct (%)86.6%
Missing93
Missing (%)22.0%
Memory size3.4 KiB
2024-05-11T00:57:02.004966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.4772036
Min length2

Characters and Unicode

Total characters3118
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)81.5%

Sample

1st row0200000000
2nd row0209930918
3rd row0234934693
4th row02 9082477
5th row0209029497
ValueCountFrequency (%)
02 171
33.0%
0200000000 17
 
3.3%
9902660 4
 
0.8%
955 4
 
0.8%
9998445 3
 
0.6%
9540398 3
 
0.6%
0234929954 2
 
0.4%
999 2
 
0.4%
907 2
 
0.4%
991 2
 
0.4%
Other values (291) 308
59.5%
2024-05-11T00:57:03.493946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 692
22.2%
9 527
16.9%
2 444
14.2%
4 237
 
7.6%
3 218
 
7.0%
213
 
6.8%
5 194
 
6.2%
6 170
 
5.5%
8 145
 
4.7%
1 142
 
4.6%
Other values (2) 136
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2903
93.1%
Space Separator 213
 
6.8%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 692
23.8%
9 527
18.2%
2 444
15.3%
4 237
 
8.2%
3 218
 
7.5%
5 194
 
6.7%
6 170
 
5.9%
8 145
 
5.0%
1 142
 
4.9%
7 134
 
4.6%
Space Separator
ValueCountFrequency (%)
213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3118
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 692
22.2%
9 527
16.9%
2 444
14.2%
4 237
 
7.6%
3 218
 
7.0%
213
 
6.8%
5 194
 
6.2%
6 170
 
5.5%
8 145
 
4.7%
1 142
 
4.6%
Other values (2) 136
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 692
22.2%
9 527
16.9%
2 444
14.2%
4 237
 
7.6%
3 218
 
7.0%
213
 
6.8%
5 194
 
6.2%
6 170
 
5.5%
8 145
 
4.7%
1 142
 
4.6%
Other values (2) 136
 
4.4%

소재지면적
Real number (ℝ)

ZEROS 

Distinct225
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.392085
Minimum0
Maximum180
Zeros39
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T00:57:04.161907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.04
median19.975
Q329.8875
95-th percentile99
Maximum180
Range180
Interquartile range (IQR)18.8475

Descriptive statistics

Standard deviation28.892209
Coefficient of variation (CV)1.0547649
Kurtosis7.3465273
Mean27.392085
Median Absolute Deviation (MAD)9.255
Skewness2.5312504
Sum11559.46
Variance834.75976
MonotonicityNot monotonic
2024-05-11T00:57:04.846363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
9.2%
8.0 11
 
2.6%
33.0 8
 
1.9%
16.0 8
 
1.9%
9.0 8
 
1.9%
18.0 7
 
1.7%
26.0 7
 
1.7%
23.1 7
 
1.7%
30.0 7
 
1.7%
26.4 7
 
1.7%
Other values (215) 313
74.2%
ValueCountFrequency (%)
0.0 39
9.2%
3.3 2
 
0.5%
3.96 1
 
0.2%
4.0 1
 
0.2%
4.95 1
 
0.2%
5.0 1
 
0.2%
6.0 1
 
0.2%
6.6 6
 
1.4%
7.0 2
 
0.5%
8.0 11
 
2.6%
ValueCountFrequency (%)
180.0 1
 
0.2%
165.0 2
0.5%
150.0 2
0.5%
148.5 1
 
0.2%
132.0 3
0.7%
120.0 1
 
0.2%
119.0 1
 
0.2%
115.0 2
0.5%
111.0 1
 
0.2%
105.0 1
 
0.2%

소재지우편번호
Text

Distinct103
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T00:57:05.755655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0331754
Min length6

Characters and Unicode

Total characters2546
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

Unique30 ?
Unique (%)7.1%

Sample

1st row132800
2nd row132821
3rd row132838
4th row132858
5th row132802
ValueCountFrequency (%)
132924 25
 
5.9%
132820 16
 
3.8%
132917 13
 
3.1%
132853 13
 
3.1%
132898 13
 
3.1%
132815 11
 
2.6%
132866 11
 
2.6%
132819 10
 
2.4%
132854 10
 
2.4%
132040 9
 
2.1%
Other values (93) 291
69.0%
2024-05-11T00:57:07.224013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 542
21.3%
2 538
21.1%
3 472
18.5%
8 336
13.2%
9 192
 
7.5%
4 116
 
4.6%
0 114
 
4.5%
5 87
 
3.4%
6 75
 
2.9%
7 60
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2532
99.5%
Dash Punctuation 14
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 542
21.4%
2 538
21.2%
3 472
18.6%
8 336
13.3%
9 192
 
7.6%
4 116
 
4.6%
0 114
 
4.5%
5 87
 
3.4%
6 75
 
3.0%
7 60
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 542
21.3%
2 538
21.1%
3 472
18.5%
8 336
13.2%
9 192
 
7.5%
4 116
 
4.6%
0 114
 
4.5%
5 87
 
3.4%
6 75
 
2.9%
7 60
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 542
21.3%
2 538
21.1%
3 472
18.5%
8 336
13.2%
9 192
 
7.5%
4 116
 
4.6%
0 114
 
4.5%
5 87
 
3.4%
6 75
 
2.9%
7 60
 
2.4%

지번주소
Text

Distinct373
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T00:57:08.184277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length24.632701
Min length16

Characters and Unicode

Total characters10395
Distinct characters130
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)79.4%

Sample

1st row서울특별시 도봉구 도봉동 18-2번지
2nd row서울특별시 도봉구 도봉동 626-89번지
3rd row서울특별시 도봉구 방학동 607-9
4th row서울특별시 도봉구 쌍문동 38-4번지
5th row서울특별시 도봉구 도봉동 91-411번지
ValueCountFrequency (%)
서울특별시 422
21.7%
도봉구 422
21.7%
창동 139
 
7.1%
방학동 103
 
5.3%
쌍문동 96
 
4.9%
도봉동 84
 
4.3%
지하1층 34
 
1.7%
지상1층 20
 
1.0%
1층 18
 
0.9%
상가동 15
 
0.8%
Other values (444) 595
30.5%
2024-05-11T00:57:09.791663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1900
18.3%
도 509
 
4.9%
봉 509
 
4.9%
동 452
 
4.3%
지 430
 
4.1%
서 425
 
4.1%
구 425
 
4.1%
울 423
 
4.1%
특 422
 
4.1%
별 422
 
4.1%
Other values (120) 4478
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5949
57.2%
Decimal Number 2107
 
20.3%
Space Separator 1900
 
18.3%
Dash Punctuation 382
 
3.7%
Uppercase Letter 20
 
0.2%
Other Punctuation 12
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Lowercase Letter 7
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 509
 
8.6%
봉 509
 
8.6%
동 452
 
7.6%
지 430
 
7.2%
서 425
 
7.1%
구 425
 
7.1%
울 423
 
7.1%
특 422
 
7.1%
별 422
 
7.1%
시 422
 
7.1%
Other values (90) 1510
25.4%
Decimal Number
ValueCountFrequency (%)
1 352
16.7%
6 299
14.2%
2 278
13.2%
5 213
10.1%
3 206
9.8%
0 190
9.0%
7 162
7.7%
8 160
7.6%
4 134
 
6.4%
9 113
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
28.6%
r 1
14.3%
p 1
14.3%
t 1
14.3%
e 1
14.3%
s 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 8
66.7%
@ 2
 
16.7%
: 1
 
8.3%
. 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
A 7
35.0%
B 5
25.0%
P 4
20.0%
T 4
20.0%
Math Symbol
ValueCountFrequency (%)
< 2
50.0%
> 2
50.0%
Space Separator
ValueCountFrequency (%)
1900
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 382
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5949
57.2%
Common 4419
42.5%
Latin 27
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 509
 
8.6%
봉 509
 
8.6%
동 452
 
7.6%
지 430
 
7.2%
서 425
 
7.1%
구 425
 
7.1%
울 423
 
7.1%
특 422
 
7.1%
별 422
 
7.1%
시 422
 
7.1%
Other values (90) 1510
25.4%
Common
ValueCountFrequency (%)
1900
43.0%
- 382
 
8.6%
1 352
 
8.0%
6 299
 
6.8%
2 278
 
6.3%
5 213
 
4.8%
3 206
 
4.7%
0 190
 
4.3%
7 162
 
3.7%
8 160
 
3.6%
Other values (10) 277
 
6.3%
Latin
ValueCountFrequency (%)
A 7
25.9%
B 5
18.5%
P 4
14.8%
T 4
14.8%
a 2
 
7.4%
r 1
 
3.7%
p 1
 
3.7%
t 1
 
3.7%
e 1
 
3.7%
s 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5949
57.2%
ASCII 4446
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1900
42.7%
- 382
 
8.6%
1 352
 
7.9%
6 299
 
6.7%
2 278
 
6.3%
5 213
 
4.8%
3 206
 
4.6%
0 190
 
4.3%
7 162
 
3.6%
8 160
 
3.6%
Other values (20) 304
 
6.8%
Hangul
ValueCountFrequency (%)
도 509
 
8.6%
봉 509
 
8.6%
동 452
 
7.6%
지 430
 
7.2%
서 425
 
7.1%
구 425
 
7.1%
울 423
 
7.1%
특 422
 
7.1%
별 422
 
7.1%
시 422
 
7.1%
Other values (90) 1510
25.4%

도로명주소
Text

MISSING 

Distinct156
Distinct (%)98.1%
Missing263
Missing (%)62.3%
Memory size3.4 KiB
2024-05-11T00:57:10.664072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length30.220126
Min length21

Characters and Unicode

Total characters4805
Distinct characters112
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

Unique153 ?
Unique (%)96.2%

Sample

1st row서울특별시 도봉구 시루봉로15아길 7 (방학동)
2nd row서울특별시 도봉구 도당로27길 27 (방학동)
3rd row서울특별시 도봉구 도당로 111, 지상1층 (방학동)
4th row서울특별시 도봉구 노해로41길 28 (쌍문동)
5th row서울특별시 도봉구 덕릉로59마길 44 (창동)
ValueCountFrequency (%)
서울특별시 159
 
16.9%
도봉구 159
 
16.9%
창동 46
 
4.9%
방학동 40
 
4.2%
도봉동 27
 
2.9%
쌍문동 25
 
2.7%
1층 21
 
2.2%
지상1층 20
 
2.1%
마들로 13
 
1.4%
상가동 10
 
1.1%
Other values (251) 422
44.8%
2024-05-11T00:57:12.379653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
783
 
16.3%
도 269
 
5.6%
봉 258
 
5.4%
1 215
 
4.5%
동 179
 
3.7%
시 170
 
3.5%
) 162
 
3.4%
( 162
 
3.4%
서 161
 
3.4%
울 160
 
3.3%
Other values (102) 2286
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2775
57.8%
Space Separator 783
 
16.3%
Decimal Number 774
 
16.1%
Close Punctuation 162
 
3.4%
Open Punctuation 162
 
3.4%
Other Punctuation 122
 
2.5%
Dash Punctuation 16
 
0.3%
Uppercase Letter 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 269
 
9.7%
봉 258
 
9.3%
동 179
 
6.5%
시 170
 
6.1%
서 161
 
5.8%
울 160
 
5.8%
구 160
 
5.8%
별 159
 
5.7%
특 159
 
5.7%
로 154
 
5.5%
Other values (83) 946
34.1%
Decimal Number
ValueCountFrequency (%)
1 215
27.8%
2 92
11.9%
3 73
 
9.4%
4 68
 
8.8%
5 68
 
8.8%
7 61
 
7.9%
0 56
 
7.2%
6 55
 
7.1%
9 48
 
6.2%
8 38
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
A 3
27.3%
P 2
18.2%
T 2
18.2%
Space Separator
ValueCountFrequency (%)
783
100.0%
Close Punctuation
ValueCountFrequency (%)
) 162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 162
100.0%
Other Punctuation
ValueCountFrequency (%)
, 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2775
57.8%
Common 2019
42.0%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 269
 
9.7%
봉 258
 
9.3%
동 179
 
6.5%
시 170
 
6.1%
서 161
 
5.8%
울 160
 
5.8%
구 160
 
5.8%
별 159
 
5.7%
특 159
 
5.7%
로 154
 
5.5%
Other values (83) 946
34.1%
Common
ValueCountFrequency (%)
783
38.8%
1 215
 
10.6%
) 162
 
8.0%
( 162
 
8.0%
, 122
 
6.0%
2 92
 
4.6%
3 73
 
3.6%
4 68
 
3.4%
5 68
 
3.4%
7 61
 
3.0%
Other values (5) 213
 
10.5%
Latin
ValueCountFrequency (%)
B 4
36.4%
A 3
27.3%
P 2
18.2%
T 2
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2775
57.8%
ASCII 2030
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
783
38.6%
1 215
 
10.6%
) 162
 
8.0%
( 162
 
8.0%
, 122
 
6.0%
2 92
 
4.5%
3 73
 
3.6%
4 68
 
3.3%
5 68
 
3.3%
7 61
 
3.0%
Other values (9) 224
 
11.0%
Hangul
ValueCountFrequency (%)
도 269
 
9.7%
봉 258
 
9.3%
동 179
 
6.5%
시 170
 
6.1%
서 161
 
5.8%
울 160
 
5.8%
구 160
 
5.8%
별 159
 
5.7%
특 159
 
5.7%
로 154
 
5.5%
Other values (83) 946
34.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)53.8%
Missing264
Missing (%)62.6%
Infinite0
Infinite (%)0.0%
Mean1386.7975
Minimum1301
Maximum1489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T00:57:13.015743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1301
5-th percentile1306
Q11331
median1386
Q31439.25
95-th percentile1475.15
Maximum1489
Range188
Interquartile range (IQR)108.25

Descriptive statistics

Standard deviation58.560194
Coefficient of variation (CV)0.042226926
Kurtosis-1.3444835
Mean1386.7975
Median Absolute Deviation (MAD)55
Skewness0.10343164
Sum219114
Variance3429.2963
MonotonicityNot monotonic
2024-05-11T00:57:13.703340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1307 5
 
1.2%
1454 5
 
1.2%
1455 5
 
1.2%
1314 5
 
1.2%
1385 4
 
0.9%
1309 4
 
0.9%
1306 4
 
0.9%
1414 4
 
0.9%
1432 4
 
0.9%
1489 3
 
0.7%
Other values (75) 115
27.3%
(Missing) 264
62.6%
ValueCountFrequency (%)
1301 1
 
0.2%
1302 1
 
0.2%
1303 3
0.7%
1305 1
 
0.2%
1306 4
0.9%
1307 5
1.2%
1309 4
0.9%
1310 2
 
0.5%
1314 5
1.2%
1318 2
 
0.5%
ValueCountFrequency (%)
1489 3
0.7%
1488 1
 
0.2%
1479 2
0.5%
1477 1
 
0.2%
1476 1
 
0.2%
1475 2
0.5%
1473 1
 
0.2%
1470 2
0.5%
1469 3
0.7%
1468 1
 
0.2%

사업장명
Text

Distinct371
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T00:57:14.612623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length4.7582938
Min length1

Characters and Unicode

Total characters2008
Distinct characters258
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique330 ?
Unique (%)78.2%

Sample

1st row현대
2nd row한일이발관
3rd row신광
4th row신성
5th row중앙
ValueCountFrequency (%)
이용원 7
 
1.6%
현대 4
 
0.9%
에덴 3
 
0.7%
한양이용원 3
 
0.7%
이발실 3
 
0.7%
삼익 3
 
0.7%
현대이발관 3
 
0.7%
이발관 3
 
0.7%
진양이발관 3
 
0.7%
그린이발관 3
 
0.7%
Other values (371) 414
92.2%
2024-05-11T00:57:16.393699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 255
 
12.7%
발 160
 
8.0%
관 134
 
6.7%
용 101
 
5.0%
원 100
 
5.0%
성 54
 
2.7%
우 40
 
2.0%
사 30
 
1.5%
동 29
 
1.4%
27
 
1.3%
Other values (248) 1078
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1896
94.4%
Space Separator 27
 
1.3%
Open Punctuation 25
 
1.2%
Close Punctuation 25
 
1.2%
Lowercase Letter 14
 
0.7%
Decimal Number 13
 
0.6%
Uppercase Letter 6
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 255
 
13.4%
발 160
 
8.4%
관 134
 
7.1%
용 101
 
5.3%
원 100
 
5.3%
성 54
 
2.8%
우 40
 
2.1%
사 30
 
1.6%
동 29
 
1.5%
한 26
 
1.4%
Other values (221) 967
51.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
21.4%
h 2
14.3%
p 2
14.3%
g 1
 
7.1%
n 1
 
7.1%
o 1
 
7.1%
a 1
 
7.1%
c 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
6 3
23.1%
8 2
15.4%
2 2
15.4%
3 1
 
7.7%
9 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
M 1
16.7%
O 1
16.7%
R 1
16.7%
F 1
16.7%
S 1
16.7%
J 1
16.7%
Other Punctuation
ValueCountFrequency (%)
? 1
50.0%
# 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1895
94.4%
Common 92
 
4.6%
Latin 20
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 255
 
13.5%
발 160
 
8.4%
관 134
 
7.1%
용 101
 
5.3%
원 100
 
5.3%
성 54
 
2.8%
우 40
 
2.1%
사 30
 
1.6%
동 29
 
1.5%
한 26
 
1.4%
Other values (220) 966
51.0%
Latin
ValueCountFrequency (%)
e 3
15.0%
h 2
 
10.0%
p 2
 
10.0%
g 1
 
5.0%
n 1
 
5.0%
o 1
 
5.0%
a 1
 
5.0%
c 1
 
5.0%
l 1
 
5.0%
t 1
 
5.0%
Other values (6) 6
30.0%
Common
ValueCountFrequency (%)
27
29.3%
( 25
27.2%
) 25
27.2%
1 4
 
4.3%
6 3
 
3.3%
8 2
 
2.2%
2 2
 
2.2%
? 1
 
1.1%
# 1
 
1.1%
3 1
 
1.1%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1895
94.4%
ASCII 112
 
5.6%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 255
 
13.5%
발 160
 
8.4%
관 134
 
7.1%
용 101
 
5.3%
원 100
 
5.3%
성 54
 
2.8%
우 40
 
2.1%
사 30
 
1.6%
동 29
 
1.5%
한 26
 
1.4%
Other values (220) 966
51.0%
ASCII
ValueCountFrequency (%)
27
24.1%
( 25
22.3%
) 25
22.3%
1 4
 
3.6%
6 3
 
2.7%
e 3
 
2.7%
h 2
 
1.8%
p 2
 
1.8%
8 2
 
1.8%
2 2
 
1.8%
Other values (17) 17
15.2%
CJK
ValueCountFrequency (%)
美 1
100.0%

최종수정일자
Date

Distinct275
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1999-02-10 00:00:00
Maximum2024-04-16 13:22:59
2024-05-11T00:57:17.062963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:57:17.715256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
I
347 
U
75 

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 347
82.2%
U 75
 
17.8%

Length

2024-05-11T00:57:18.458437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:19.068679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 347
82.2%
u 75
 
17.8%

데이터갱신일자
Date

Distinct56
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T00:57:19.555251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:57:20.235402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
일반이용업
415 
이용업 기타
 
7

Length

Max length6
Median length5
Mean length5.0165877
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 415
98.3%
이용업 기타 7
 
1.7%

Length

2024-05-11T00:57:20.914187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:21.443147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 415
96.7%
이용업 7
 
1.6%
기타 7
 
1.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct281
Distinct (%)70.8%
Missing25
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean203394.82
Minimum201167.09
Maximum204719.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T00:57:22.009459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201167.09
5-th percentile202416.16
Q1203039.33
median203402.32
Q3203775.84
95-th percentile204281.61
Maximum204719.28
Range3552.1908
Interquartile range (IQR)736.5143

Descriptive statistics

Standard deviation587.10922
Coefficient of variation (CV)0.0028865496
Kurtosis1.2994502
Mean203394.82
Median Absolute Deviation (MAD)365.72202
Skewness-0.6421423
Sum80747742
Variance344697.24
MonotonicityNot monotonic
2024-05-11T00:57:22.720822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204135.386163501 6
 
1.4%
203759.970641119 5
 
1.2%
203024.819704692 5
 
1.2%
202104.930009838 4
 
0.9%
203265.674745361 4
 
0.9%
204391.615 4
 
0.9%
203070.330612638 3
 
0.7%
203683.664518428 3
 
0.7%
203287.698670027 3
 
0.7%
202998.896551621 3
 
0.7%
Other values (271) 357
84.6%
(Missing) 25
 
5.9%
ValueCountFrequency (%)
201167.086526829 1
 
0.2%
201177.743198866 2
0.5%
201290.398748685 1
 
0.2%
201347.360601868 1
 
0.2%
201975.484196351 1
 
0.2%
202014.524454848 1
 
0.2%
202104.930009838 4
0.9%
202124.10577521 1
 
0.2%
202147.52144553 1
 
0.2%
202192.689928457 1
 
0.2%
ValueCountFrequency (%)
204719.277363253 3
0.7%
204623.018873403 1
 
0.2%
204462.811445887 1
 
0.2%
204419.422902458 1
 
0.2%
204414.113861369 1
 
0.2%
204397.004135761 2
0.5%
204391.615 4
0.9%
204372.245062863 3
0.7%
204365.037901995 1
 
0.2%
204348.91 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct281
Distinct (%)70.8%
Missing25
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean461870.25
Minimum459026.49
Maximum465094.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T00:57:23.439442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459026.49
5-th percentile459642.9
Q1460732.09
median461736.72
Q3462849.02
95-th percentile464397.1
Maximum465094.19
Range6067.7027
Interquartile range (IQR)2116.9347

Descriptive statistics

Standard deviation1400.9451
Coefficient of variation (CV)0.0030332005
Kurtosis-0.6931806
Mean461870.25
Median Absolute Deviation (MAD)1047.3147
Skewness0.15360146
Sum1.8336249 × 108
Variance1962647.1
MonotonicityNot monotonic
2024-05-11T00:57:24.140015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
463763.240794805 6
 
1.4%
464069.834711115 5
 
1.2%
462097.646734728 5
 
1.2%
460907.795521436 4
 
0.9%
460224.068176947 4
 
0.9%
461208.365 4
 
0.9%
462578.165612375 3
 
0.7%
462546.059911863 3
 
0.7%
462474.712446299 3
 
0.7%
461818.506049631 3
 
0.7%
Other values (271) 357
84.6%
(Missing) 25
 
5.9%
ValueCountFrequency (%)
459026.486447676 1
0.2%
459027.916487009 1
0.2%
459110.480729684 1
0.2%
459113.93073278 2
0.5%
459148.43863364 1
0.2%
459291.644988276 1
0.2%
459317.632467079 1
0.2%
459345.731772271 1
0.2%
459404.612509977 1
0.2%
459422.96483729 2
0.5%
ValueCountFrequency (%)
465094.18915856 1
0.2%
464905.033086911 1
0.2%
464819.528370118 1
0.2%
464814.717432497 2
0.5%
464771.812601885 1
0.2%
464731.761130542 2
0.5%
464715.959316893 1
0.2%
464658.738296582 1
0.2%
464649.181808576 1
0.2%
464642.898266239 2
0.5%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
일반이용업
390 
<NA>
 
28
이용업 기타
 
4

Length

Max length6
Median length5
Mean length4.943128
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 390
92.4%
<NA> 28
 
6.6%
이용업 기타 4
 
0.9%

Length

2024-05-11T00:57:24.830287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:25.344726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 390
91.5%
na 28
 
6.6%
이용업 4
 
0.9%
기타 4
 
0.9%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.6%
Missing113
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean1.0517799
Minimum0
Maximum10
Zeros203
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T00:57:25.703973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8261907
Coefficient of variation (CV)1.7362859
Kurtosis6.8887558
Mean1.0517799
Median Absolute Deviation (MAD)0
Skewness2.3504143
Sum325
Variance3.3349725
MonotonicityNot monotonic
2024-05-11T00:57:26.127369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 203
48.1%
2 40
 
9.5%
3 34
 
8.1%
4 11
 
2.6%
1 9
 
2.1%
5 3
 
0.7%
10 3
 
0.7%
7 2
 
0.5%
8 2
 
0.5%
6 1
 
0.2%
(Missing) 113
26.8%
ValueCountFrequency (%)
0 203
48.1%
1 9
 
2.1%
2 40
 
9.5%
3 34
 
8.1%
4 11
 
2.6%
5 3
 
0.7%
6 1
 
0.2%
7 2
 
0.5%
8 2
 
0.5%
9 1
 
0.2%
ValueCountFrequency (%)
10 3
 
0.7%
9 1
 
0.2%
8 2
 
0.5%
7 2
 
0.5%
6 1
 
0.2%
5 3
 
0.7%
4 11
 
2.6%
3 34
8.1%
2 40
9.5%
1 9
 
2.1%

건물지하층수
Categorical

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
217 
<NA>
131 
1
70 
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length1.9312796
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 217
51.4%
<NA> 131
31.0%
1 70
 
16.6%
2 2
 
0.5%
3 1
 
0.2%
5 1
 
0.2%

Length

2024-05-11T00:57:26.910308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:27.466868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 217
51.4%
na 131
31.0%
1 70
 
16.6%
2 2
 
0.5%
3 1
 
0.2%
5 1
 
0.2%

사용시작지상층
Categorical

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
143 
<NA>
127 
1
96 
2
52 
3
 
3

Length

Max length4
Median length1
Mean length1.9028436
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 143
33.9%
<NA> 127
30.1%
1 96
22.7%
2 52
 
12.3%
3 3
 
0.7%
4 1
 
0.2%

Length

2024-05-11T00:57:27.970829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:28.386231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 143
33.9%
na 127
30.1%
1 96
22.7%
2 52
 
12.3%
3 3
 
0.7%
4 1
 
0.2%

사용끝지상층
Categorical

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
260 
1
90 
2
49 
0
 
19
3
 
3

Length

Max length4
Median length4
Mean length2.8483412
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 260
61.6%
1 90
 
21.3%
2 49
 
11.6%
0 19
 
4.5%
3 3
 
0.7%
4 1
 
0.2%

Length

2024-05-11T00:57:29.000456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:29.514037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 260
61.6%
1 90
 
21.3%
2 49
 
11.6%
0 19
 
4.5%
3 3
 
0.7%
4 1
 
0.2%

사용시작지하층
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
189 
<NA>
174 
1
54 
2
 
5

Length

Max length4
Median length1
Mean length2.2369668
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 189
44.8%
<NA> 174
41.2%
1 54
 
12.8%
2 5
 
1.2%

Length

2024-05-11T00:57:30.099972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:30.603754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 189
44.8%
na 174
41.2%
1 54
 
12.8%
2 5
 
1.2%

사용끝지하층
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
305 
0
64 
1
47 
2
 
5
4
 
1

Length

Max length4
Median length4
Mean length3.1682464
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 305
72.3%
0 64
 
15.2%
1 47
 
11.1%
2 5
 
1.2%
4 1
 
0.2%

Length

2024-05-11T00:57:31.158582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:31.885022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 305
72.3%
0 64
 
15.2%
1 47
 
11.1%
2 5
 
1.2%
4 1
 
0.2%

한실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
242 
<NA>
180 

Length

Max length4
Median length1
Mean length2.2796209
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 242
57.3%
<NA> 180
42.7%

Length

2024-05-11T00:57:32.428679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:32.812569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 242
57.3%
na 180
42.7%

양실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
242 
<NA>
180 

Length

Max length4
Median length1
Mean length2.2796209
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 242
57.3%
<NA> 180
42.7%

Length

2024-05-11T00:57:33.467381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:34.012132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 242
57.3%
na 180
42.7%

욕실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
242 
<NA>
180 

Length

Max length4
Median length1
Mean length2.2796209
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 242
57.3%
<NA> 180
42.7%

Length

2024-05-11T00:57:34.596685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:35.361479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 242
57.3%
na 180
42.7%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing34
Missing (%)8.1%
Memory size976.0 B
False
388 
(Missing)
 
34
ValueCountFrequency (%)
False 388
91.9%
(Missing) 34
 
8.1%
2024-05-11T00:57:35.814818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)3.4%
Missing44
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean3.5132275
Minimum0
Maximum12
Zeros45
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T00:57:36.153916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile9
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4279724
Coefficient of variation (CV)0.69109456
Kurtosis0.82413553
Mean3.5132275
Median Absolute Deviation (MAD)1
Skewness0.93397237
Sum1328
Variance5.89505
MonotonicityNot monotonic
2024-05-11T00:57:36.666504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 106
25.1%
4 69
16.4%
2 65
15.4%
0 45
10.7%
5 22
 
5.2%
9 19
 
4.5%
7 17
 
4.0%
1 11
 
2.6%
6 9
 
2.1%
8 7
 
1.7%
Other values (3) 8
 
1.9%
(Missing) 44
10.4%
ValueCountFrequency (%)
0 45
10.7%
1 11
 
2.6%
2 65
15.4%
3 106
25.1%
4 69
16.4%
5 22
 
5.2%
6 9
 
2.1%
7 17
 
4.0%
8 7
 
1.7%
9 19
 
4.5%
ValueCountFrequency (%)
12 1
 
0.2%
11 1
 
0.2%
10 6
 
1.4%
9 19
 
4.5%
8 7
 
1.7%
7 17
 
4.0%
6 9
 
2.1%
5 22
 
5.2%
4 69
16.4%
3 106
25.1%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing422
Missing (%)100.0%
Memory size3.8 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing422
Missing (%)100.0%
Memory size3.8 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing422
Missing (%)100.0%
Memory size3.8 KiB

건물소유구분명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
287 
임대
131 
자가
 
4

Length

Max length4
Median length4
Mean length3.3601896
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 287
68.0%
임대 131
31.0%
자가 4
 
0.9%

Length

2024-05-11T00:57:37.415922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:37.950581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 287
68.0%
임대 131
31.0%
자가 4
 
0.9%

세탁기수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
308 
0
114 

Length

Max length4
Median length4
Mean length3.1895735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 308
73.0%
0 114
 
27.0%

Length

2024-05-11T00:57:38.520066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:39.170784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
73.0%
0 114
 
27.0%

여성종사자수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
365 
0
57 

Length

Max length4
Median length4
Mean length3.5947867
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 365
86.5%
0 57
 
13.5%

Length

2024-05-11T00:57:39.738227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:40.127483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 365
86.5%
0 57
 
13.5%

남성종사자수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
365 
0
57 

Length

Max length4
Median length4
Mean length3.5947867
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 365
86.5%
0 57
 
13.5%

Length

2024-05-11T00:57:40.707593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:41.183745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 365
86.5%
0 57
 
13.5%

회수건조수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
337 
0
85 

Length

Max length4
Median length4
Mean length3.3957346
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 337
79.9%
0 85
 
20.1%

Length

2024-05-11T00:57:41.655862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:42.459755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 337
79.9%
0 85
 
20.1%

침대수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
338 
0
84 

Length

Max length4
Median length4
Mean length3.4028436
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 338
80.1%
0 84
 
19.9%

Length

2024-05-11T00:57:42.938042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:57:43.400458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 338
80.1%
0 84
 
19.9%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing28
Missing (%)6.6%
Memory size976.0 B
False
394 
(Missing)
 
28
ValueCountFrequency (%)
False 394
93.4%
(Missing) 28
 
6.6%
2024-05-11T00:57:43.840643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
030900003090000-203-1967-0093219670610<NA>3폐업2폐업20021009<NA><NA><NA>020000000025.37132800서울특별시 도봉구 도봉동 18-2번지<NA><NA>현대2002-10-17 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000<NA>0<NA>000N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
130900003090000-203-1969-0019519691031<NA>3폐업2폐업20021009<NA><NA><NA>020993091813.25132821서울특별시 도봉구 도봉동 626-89번지<NA><NA>한일이발관2002-10-17 00:00:00I2018-08-31 23:59:59.0일반이용업204121.877121463684.530324일반이용업000<NA>0<NA>000N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
230900003090000-203-1970-0019219700723<NA>1영업/정상1영업<NA><NA><NA><NA>023493469319.8132838서울특별시 도봉구 방학동 607-9서울특별시 도봉구 시루봉로15아길 7 (방학동)1314신광2021-11-08 15:17:10U2021-11-10 02:40:00.0일반이용업202751.791246462959.674397일반이용업101100000N4<NA><NA><NA>임대00000N
330900003090000-203-1970-0027019700729<NA>3폐업2폐업19950421<NA><NA><NA>02 908247716.24132858서울특별시 도봉구 쌍문동 38-4번지<NA><NA>신성2002-03-26 00:00:00I2018-08-31 23:59:59.0일반이용업203351.27577461812.494787일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
430900003090000-203-1970-0093319700430<NA>3폐업2폐업20030226<NA><NA><NA>020902949716.0132802서울특별시 도봉구 도봉동 91-411번지<NA><NA>중앙2003-02-26 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
530900003090000-203-1972-0014819721123<NA>3폐업2폐업20130605<NA><NA><NA>020993930924.0132845서울특별시 도봉구 방학동 647-47번지서울특별시 도봉구 도당로27길 27 (방학동)1352남영2008-02-21 14:15:02I2018-08-31 23:59:59.0일반이용업203529.526094462908.582393일반이용업001100000N5<NA><NA><NA>임대0<NA><NA><NA><NA>N
630900003090000-203-1972-0015219721201<NA>3폐업2폐업20000328<NA><NA><NA>020992107429.95132924서울특별시 도봉구 창동 657-61번지<NA><NA>시민2001-02-07 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000<NA>0<NA>000N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
730900003090000-203-1974-0013019740911<NA>3폐업2폐업19990624<NA><NA><NA>0216.92132916서울특별시 도봉구 창동 492-31번지<NA><NA>미진이발관1999-06-24 00:00:00I2018-08-31 23:59:59.0일반이용업203765.619142459027.916487일반이용업000<NA>0<NA>000N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
830900003090000-203-1975-0012019750305<NA>3폐업2폐업19971219<NA><NA><NA>02 994598823.0132919서울특별시 도봉구 창동 608-77번지<NA><NA>미도1999-06-10 00:00:00I2018-08-31 23:59:59.0일반이용업203265.674745460224.068177일반이용업000<NA>0<NA>000N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
930900003090000-203-1975-0096419750124<NA>3폐업2폐업20010611<NA><NA><NA>02 954365419.65132850서울특별시 도봉구 방학동 686-48번지<NA><NA>남성2001-06-11 00:00:00I2018-08-31 23:59:59.0일반이용업203529.961037462517.462463일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
41230900003090000-203-2022-000042022-06-21<NA>3폐업2폐업2023-09-06<NA><NA><NA><NA>24.0132-919서울특별시 도봉구 창동 601-35 1층서울특별시 도봉구 덕릉로59길 16, 1층 (창동)1469큐사랑신창점2023-09-06 13:34:53U2022-12-09 00:08:00.0일반이용업203350.626631459804.762569<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41330900003090000-203-2022-0000520220916<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.5132917서울특별시 도봉구 창동 562-16 1층서울특별시 도봉구 덕릉로60다길 17, 1층 (창동)1476큐사랑염색방(창동점)2022-09-16 09:30:17I2021-12-08 23:08:00.0일반이용업203442.258335459525.20951<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41430900003090000-203-2022-0000620221012<NA>1영업/정상1영업<NA><NA><NA><NA><NA>50.0132920서울특별시 도봉구 창동 621-10 2층서울특별시 도봉구 도봉로110길 40, 2층 (창동)1458청춘이발관2022-10-12 10:49:11I2021-10-30 23:04:00.0일반이용업203092.963364460407.66074<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41530900003090000-203-2022-0000720221031<NA>1영업/정상1영업<NA><NA><NA><NA>02 956808120.0132848서울특별시 도봉구 방학동 668-23 1층서울특별시 도봉구 도당로9길 37, 1층 (방학동)1357다사랑염색방2022-10-31 13:40:41I2021-11-01 00:02:00.0일반이용업202792.593348462268.59012<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41630900003090000-203-2022-0000820221201<NA>1영업/정상1영업<NA><NA><NA><NA><NA>66.05132895서울특별시 도봉구 쌍문동 199-8 2층서울특별시 도봉구 방학로11길 95, 2층 (쌍문동)1385체인지피플(#change people)2022-12-01 14:55:06I2021-11-02 00:03:00.0일반이용업202957.897886461804.793983<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41730900003090000-203-2022-000092022-12-22<NA>3폐업2폐업2024-04-16<NA><NA><NA><NA>9.9132-861서울특별시 도봉구 쌍문동 59-5 한양6차아파트 상가동서울특별시 도봉구 시루봉로 56, 한양6차아파트 상가동 지하1층 (쌍문동)1434선덕사우나 내 이용2024-04-16 13:22:59U2023-12-03 23:08:00.0일반이용업202514.254595461495.802497<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41830900003090000-203-2023-000012023-11-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>99.17132-854서울특별시 도봉구 방학동 720-33 도봉월드상가, 지하2층 201호서울특별시 도봉구 마들로 650, 도봉월드상가 지하2층 201호 (방학동)1331루하스 이용원2023-11-16 10:36:53I2022-10-31 23:08:00.0일반이용업204083.769271462849.020752<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41930900003090000-203-2023-000022023-12-04<NA>3폐업2폐업2024-01-22<NA><NA><NA><NA>3.3132-817서울특별시 도봉구 도봉동 594-20 3층, 한성탕 내서울특별시 도봉구 도봉로169나길 14 (도봉동)1306한성목욕탕2024-01-22 14:02:31U2023-11-30 22:04:00.0일반이용업203759.970641464069.834711<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42030900003090000-203-2024-000012024-01-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.0132-862서울특별시 도봉구 쌍문동 69-23서울특별시 도봉구 도봉로125길 77, 1층 107호 (쌍문동)1432삼익 이발관2024-01-15 14:29:53I2023-11-30 23:07:00.0일반이용업203194.714921461525.909616<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42130900003090000-203-2024-000022024-03-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.6132-918서울특별시 도봉구 창동 581-28서울특별시 도봉구 덕릉로57길 30, 지하1층 (창동)1470삼익 이용2024-03-13 13:11:43I2023-12-02 23:06:00.0일반이용업203220.921406459746.924431<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>