Overview

Dataset statistics

Number of variables47
Number of observations50
Missing cells599
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.9 KiB
Average record size in memory407.6 B

Variable types

Categorical21
Text6
DateTime3
Unsupported8
Numeric7
Boolean2

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,건물지상층수,건물지하층수,사용시작지상층,사용끝지상층,사용시작지하층,사용끝지하층,한실수,양실수,욕실수,발한실여부,좌석수,조건부허가신고사유,조건부허가시작일자,조건부허가종료일자,건물소유구분명,세탁기수,여성종사자수,남성종사자수,회수건조수,침대수,다중이용업소여부
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-17437/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
여성종사자수 is highly imbalanced (75.8%)Imbalance
남성종사자수 is highly imbalanced (75.8%)Imbalance
인허가취소일자 has 50 (100.0%) missing valuesMissing
폐업일자 has 28 (56.0%) missing valuesMissing
휴업시작일자 has 50 (100.0%) missing valuesMissing
휴업종료일자 has 50 (100.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
전화번호 has 2 (4.0%) missing valuesMissing
도로명주소 has 8 (16.0%) missing valuesMissing
도로명우편번호 has 11 (22.0%) missing valuesMissing
좌표정보(X) has 1 (2.0%) missing valuesMissing
좌표정보(Y) has 1 (2.0%) missing valuesMissing
건물지상층수 has 25 (50.0%) missing valuesMissing
사용끝지상층 has 33 (66.0%) missing valuesMissing
한실수 has 21 (42.0%) missing valuesMissing
양실수 has 27 (54.0%) missing valuesMissing
발한실여부 has 21 (42.0%) missing valuesMissing
조건부허가신고사유 has 50 (100.0%) missing valuesMissing
조건부허가시작일자 has 50 (100.0%) missing valuesMissing
조건부허가종료일자 has 50 (100.0%) missing valuesMissing
건물소유구분명 has 50 (100.0%) missing valuesMissing
다중이용업소여부 has 21 (42.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 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
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물지상층수 has 7 (14.0%) zerosZeros
사용끝지상층 has 2 (4.0%) zerosZeros
한실수 has 10 (20.0%) zerosZeros
양실수 has 8 (16.0%) zerosZeros

Reproduction

Analysis started2024-04-06 12:32:03.988621
Analysis finished2024-04-06 12:32:05.119689
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3100000
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 50
100.0%

Length

2024-04-06T21:32:05.653727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:05.838462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 50
100.0%

관리번호
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:32:06.188907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1100
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

Unique50 ?
Unique (%)100.0%

Sample

1st row3100000-201-1967-00045
2nd row3100000-201-1968-00028
3rd row3100000-201-1969-00015
4th row3100000-201-1969-00038
5th row3100000-201-1969-00039
ValueCountFrequency (%)
3100000-201-1967-00045 1
 
2.0%
3100000-201-1996-00010 1
 
2.0%
3100000-201-2008-00001 1
 
2.0%
3100000-201-1982-00004 1
 
2.0%
3100000-201-1982-00040 1
 
2.0%
3100000-201-1983-00006 1
 
2.0%
3100000-201-1988-00001 1
 
2.0%
3100000-201-1989-00002 1
 
2.0%
3100000-201-1989-00003 1
 
2.0%
3100000-201-1994-00007 1
 
2.0%
Other values (40) 40
80.0%
2024-04-06T21:32:06.810641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 489
44.5%
1 174
 
15.8%
- 150
 
13.6%
2 81
 
7.4%
3 67
 
6.1%
9 61
 
5.5%
8 24
 
2.2%
7 20
 
1.8%
4 14
 
1.3%
6 11
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 950
86.4%
Dash Punctuation 150
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 489
51.5%
1 174
 
18.3%
2 81
 
8.5%
3 67
 
7.1%
9 61
 
6.4%
8 24
 
2.5%
7 20
 
2.1%
4 14
 
1.5%
6 11
 
1.2%
5 9
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 489
44.5%
1 174
 
15.8%
- 150
 
13.6%
2 81
 
7.4%
3 67
 
6.1%
9 61
 
5.5%
8 24
 
2.2%
7 20
 
1.8%
4 14
 
1.3%
6 11
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 489
44.5%
1 174
 
15.8%
- 150
 
13.6%
2 81
 
7.4%
3 67
 
6.1%
9 61
 
5.5%
8 24
 
2.2%
7 20
 
1.8%
4 14
 
1.3%
6 11
 
1.0%

인허가일자
Date

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum1967-11-13 00:00:00
Maximum2009-12-30 00:00:00
2024-04-06T21:32:07.185141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:32:07.506274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
28 
3
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
56.0%
3 22
44.0%

Length

2024-04-06T21:32:07.879059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:08.115774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
56.0%
3 22
44.0%

영업상태명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업/정상
28 
폐업
22 

Length

Max length5
Median length5
Mean length3.68
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 28
56.0%
폐업 22
44.0%

Length

2024-04-06T21:32:08.322368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:08.549868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
56.0%
폐업 22
44.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
28 
2
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
56.0%
2 22
44.0%

Length

2024-04-06T21:32:08.758653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:08.936249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
56.0%
2 22
44.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업
28 
폐업
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 28
56.0%
폐업 22
44.0%

Length

2024-04-06T21:32:09.249316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:09.446601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 28
56.0%
폐업 22
44.0%

폐업일자
Date

MISSING 

Distinct22
Distinct (%)100.0%
Missing28
Missing (%)56.0%
Memory size532.0 B
Minimum1995-10-23 00:00:00
Maximum2023-11-22 00:00:00
2024-04-06T21:32:09.705724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:32:09.967076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

전화번호
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing2
Missing (%)4.0%
Memory size532.0 B
2024-04-06T21:32:10.320263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.8541667
Min length7

Characters and Unicode

Total characters473
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

Unique48 ?
Unique (%)100.0%

Sample

1st row02 9922256
2nd row0209727331
3rd row0209366740
4th row0233914874
5th row9342025
ValueCountFrequency (%)
02 20
28.6%
9332603 1
 
1.4%
0233918147 1
 
1.4%
9757963 1
 
1.4%
02934 1
 
1.4%
9398 1
 
1.4%
9751938 1
 
1.4%
0209357161 1
 
1.4%
0209356541 1
 
1.4%
9317177 1
 
1.4%
Other values (41) 41
58.6%
2024-04-06T21:32:10.964102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
19.2%
2 74
15.6%
9 62
13.1%
3 55
11.6%
1 37
7.8%
7 32
 
6.8%
6 29
 
6.1%
5 28
 
5.9%
4 25
 
5.3%
23
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 450
95.1%
Space Separator 23
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
20.2%
2 74
16.4%
9 62
13.8%
3 55
12.2%
1 37
8.2%
7 32
 
7.1%
6 29
 
6.4%
5 28
 
6.2%
4 25
 
5.6%
8 17
 
3.8%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
19.2%
2 74
15.6%
9 62
13.1%
3 55
11.6%
1 37
7.8%
7 32
 
6.8%
6 29
 
6.1%
5 28
 
5.9%
4 25
 
5.3%
23
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
19.2%
2 74
15.6%
9 62
13.1%
3 55
11.6%
1 37
7.8%
7 32
 
6.8%
6 29
 
6.1%
5 28
 
5.9%
4 25
 
5.3%
23
 
4.9%

소재지면적
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:32:11.441664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.86
Min length3

Characters and Unicode

Total characters293
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

Unique47 ?
Unique (%)94.0%

Sample

1st row47.55
2nd row.00
3rd row70.25
4th row169.69
5th row82.65
ValueCountFrequency (%)
00 3
 
6.0%
47.55 1
 
2.0%
2,493.50 1
 
2.0%
141.94 1
 
2.0%
38.50 1
 
2.0%
441.60 1
 
2.0%
899.10 1
 
2.0%
882.00 1
 
2.0%
1,190.40 1
 
2.0%
2038.15 1
 
2.0%
Other values (38) 38
76.0%
2024-04-06T21:32:12.249117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 50
17.1%
0 34
11.6%
9 30
10.2%
4 28
9.6%
2 27
9.2%
1 25
8.5%
5 23
7.8%
8 22
7.5%
3 21
7.2%
6 13
 
4.4%
Other values (2) 20
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 235
80.2%
Other Punctuation 58
 
19.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
14.5%
9 30
12.8%
4 28
11.9%
2 27
11.5%
1 25
10.6%
5 23
9.8%
8 22
9.4%
3 21
8.9%
6 13
 
5.5%
7 12
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 50
86.2%
, 8
 
13.8%

Most occurring scripts

ValueCountFrequency (%)
Common 293
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 50
17.1%
0 34
11.6%
9 30
10.2%
4 28
9.6%
2 27
9.2%
1 25
8.5%
5 23
7.8%
8 22
7.5%
3 21
7.2%
6 13
 
4.4%
Other values (2) 20
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 293
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 50
17.1%
0 34
11.6%
9 30
10.2%
4 28
9.6%
2 27
9.2%
1 25
8.5%
5 23
7.8%
8 22
7.5%
3 21
7.2%
6 13
 
4.4%
Other values (2) 20
 
6.8%

소재지우편번호
Categorical

Distinct21
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
139942
12 
139815
5 
139810
5 
139808
4 
139845
 
2
Other values (16)
22 

Length

Max length7
Median length6
Mean length6.14
Min length6

Unique

Unique10 ?
Unique (%)20.0%

Sample

1st row139838
2nd row139800
3rd row139813
4th row139810
5th row139-810

Common Values

ValueCountFrequency (%)
139942 12
24.0%
139815 5
10.0%
139810 5
10.0%
139808 4
 
8.0%
139845 2
 
4.0%
139812 2
 
4.0%
139814 2
 
4.0%
139-808 2
 
4.0%
139-942 2
 
4.0%
139813 2
 
4.0%
Other values (11) 12
24.0%

Length

2024-04-06T21:32:12.616563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
139942 12
24.0%
139810 5
10.0%
139815 5
10.0%
139808 4
 
8.0%
139-808 2
 
4.0%
139813 2
 
4.0%
139-942 2
 
4.0%
139838 2
 
4.0%
139814 2
 
4.0%
139812 2
 
4.0%
Other values (11) 12
24.0%

지번주소
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:32:13.019599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length21.2
Min length17

Characters and Unicode

Total characters1060
Distinct characters33
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

Unique50 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 상계동 1132-28번지
2nd row서울특별시 노원구 공릉동 27-11번지
3rd row서울특별시 노원구 상계동 156-24
4th row서울특별시 노원구 상계동 101-28
5th row서울특별시 노원구 상계동 101-25
ValueCountFrequency (%)
서울특별시 50
24.5%
노원구 50
24.5%
상계동 36
17.6%
공릉동 9
 
4.4%
월계동 5
 
2.5%
707-2 1
 
0.5%
38-6 1
 
0.5%
110-11 1
 
0.5%
684-20 1
 
0.5%
711-11번지 1
 
0.5%
Other values (49) 49
24.0%
2024-04-06T21:32:13.723804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
17.3%
1 58
 
5.5%
서 50
 
4.7%
원 50
 
4.7%
울 50
 
4.7%
구 50
 
4.7%
동 50
 
4.7%
노 50
 
4.7%
시 50
 
4.7%
별 50
 
4.7%
Other values (23) 419
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 589
55.6%
Decimal Number 236
22.3%
Space Separator 183
 
17.3%
Dash Punctuation 47
 
4.4%
Other Punctuation 3
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 50
8.5%
원 50
8.5%
울 50
8.5%
구 50
8.5%
동 50
8.5%
노 50
8.5%
시 50
8.5%
별 50
8.5%
특 50
8.5%
계 41
7.0%
Other values (7) 98
16.6%
Decimal Number
ValueCountFrequency (%)
1 58
24.6%
2 29
12.3%
6 25
10.6%
0 24
10.2%
3 24
10.2%
7 22
 
9.3%
9 17
 
7.2%
8 15
 
6.4%
4 12
 
5.1%
5 10
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 589
55.6%
Common 471
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 50
8.5%
원 50
8.5%
울 50
8.5%
구 50
8.5%
동 50
8.5%
노 50
8.5%
시 50
8.5%
별 50
8.5%
특 50
8.5%
계 41
7.0%
Other values (7) 98
16.6%
Common
ValueCountFrequency (%)
183
38.9%
1 58
 
12.3%
- 47
 
10.0%
2 29
 
6.2%
6 25
 
5.3%
0 24
 
5.1%
3 24
 
5.1%
7 22
 
4.7%
9 17
 
3.6%
8 15
 
3.2%
Other values (6) 27
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 589
55.6%
ASCII 471
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
38.9%
1 58
 
12.3%
- 47
 
10.0%
2 29
 
6.2%
6 25
 
5.3%
0 24
 
5.1%
3 24
 
5.1%
7 22
 
4.7%
9 17
 
3.6%
8 15
 
3.2%
Other values (6) 27
 
5.7%
Hangul
ValueCountFrequency (%)
서 50
8.5%
원 50
8.5%
울 50
8.5%
구 50
8.5%
동 50
8.5%
노 50
8.5%
시 50
8.5%
별 50
8.5%
특 50
8.5%
계 41
7.0%
Other values (7) 98
16.6%

도로명주소
Text

MISSING 

Distinct42
Distinct (%)100.0%
Missing8
Missing (%)16.0%
Memory size532.0 B
2024-04-06T21:32:14.248819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length26.238095
Min length22

Characters and Unicode

Total characters1102
Distinct characters52
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

Unique42 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 한글비석로24라길 5 (상계동)
2nd row서울특별시 노원구 덕릉로115나길 5 (상계동)
3rd row서울특별시 노원구 덕릉로115나길 9 (상계동)
4th row서울특별시 노원구 덕릉로112길 6 (상계동)
5th row서울특별시 노원구 한글비석로23길 37 (상계동)
ValueCountFrequency (%)
서울특별시 42
19.8%
노원구 42
19.8%
상계동 29
13.7%
노해로75길 12
 
5.7%
공릉동 6
 
2.8%
월계동 5
 
2.4%
화랑로 5
 
2.4%
5 3
 
1.4%
덕릉로115나길 2
 
0.9%
6 2
 
0.9%
Other values (63) 64
30.2%
2024-04-06T21:32:15.258977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
 
15.4%
노 55
 
5.0%
동 45
 
4.1%
( 43
 
3.9%
) 43
 
3.9%
서 42
 
3.8%
구 42
 
3.8%
로 42
 
3.8%
울 42
 
3.8%
원 42
 
3.8%
Other values (42) 536
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 641
58.2%
Decimal Number 183
 
16.6%
Space Separator 170
 
15.4%
Open Punctuation 43
 
3.9%
Close Punctuation 43
 
3.9%
Dash Punctuation 16
 
1.5%
Other Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 55
 
8.6%
동 45
 
7.0%
서 42
 
6.6%
구 42
 
6.6%
로 42
 
6.6%
울 42
 
6.6%
원 42
 
6.6%
시 42
 
6.6%
별 42
 
6.6%
특 42
 
6.6%
Other values (26) 205
32.0%
Decimal Number
ValueCountFrequency (%)
1 35
19.1%
2 26
14.2%
4 25
13.7%
7 24
13.1%
5 23
12.6%
3 19
10.4%
0 13
 
7.1%
6 7
 
3.8%
8 6
 
3.3%
9 5
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 641
58.2%
Common 461
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 55
 
8.6%
동 45
 
7.0%
서 42
 
6.6%
구 42
 
6.6%
로 42
 
6.6%
울 42
 
6.6%
원 42
 
6.6%
시 42
 
6.6%
별 42
 
6.6%
특 42
 
6.6%
Other values (26) 205
32.0%
Common
ValueCountFrequency (%)
170
36.9%
( 43
 
9.3%
) 43
 
9.3%
1 35
 
7.6%
2 26
 
5.6%
4 25
 
5.4%
7 24
 
5.2%
5 23
 
5.0%
3 19
 
4.1%
- 16
 
3.5%
Other values (6) 37
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 641
58.2%
ASCII 461
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
36.9%
( 43
 
9.3%
) 43
 
9.3%
1 35
 
7.6%
2 26
 
5.6%
4 25
 
5.4%
7 24
 
5.2%
5 23
 
5.0%
3 19
 
4.1%
- 16
 
3.5%
Other values (6) 37
 
8.0%
Hangul
ValueCountFrequency (%)
노 55
 
8.6%
동 45
 
7.0%
서 42
 
6.6%
구 42
 
6.6%
로 42
 
6.6%
울 42
 
6.6%
원 42
 
6.6%
시 42
 
6.6%
별 42
 
6.6%
특 42
 
6.6%
Other values (26) 205
32.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)48.7%
Missing11
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean1724.8718
Minimum1607
Maximum1914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:32:15.506452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1607
5-th percentile1637.9
Q11681.5
median1689
Q31803
95-th percentile1894.2
Maximum1914
Range307
Interquartile range (IQR)121.5

Descriptive statistics

Standard deviation90.543441
Coefficient of variation (CV)0.052492853
Kurtosis-0.518745
Mean1724.8718
Median Absolute Deviation (MAD)25
Skewness0.97427399
Sum67270
Variance8198.1147
MonotonicityNot monotonic
2024-04-06T21:32:15.767133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1689 14
28.0%
1849 2
 
4.0%
1683 2
 
4.0%
1640 2
 
4.0%
1682 2
 
4.0%
1914 2
 
4.0%
1638 2
 
4.0%
1803 2
 
4.0%
1835 1
 
2.0%
1860 1
 
2.0%
Other values (9) 9
18.0%
(Missing) 11
22.0%
ValueCountFrequency (%)
1607 1
2.0%
1637 1
2.0%
1638 2
4.0%
1639 1
2.0%
1640 2
4.0%
1648 1
2.0%
1664 1
2.0%
1681 1
2.0%
1682 2
4.0%
1683 2
4.0%
ValueCountFrequency (%)
1914 2
 
4.0%
1892 1
 
2.0%
1886 1
 
2.0%
1860 1
 
2.0%
1857 1
 
2.0%
1849 2
 
4.0%
1835 1
 
2.0%
1803 2
 
4.0%
1689 14
28.0%
1683 2
 
4.0%

사업장명
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:32:16.206559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length3.54
Min length1

Characters and Unicode

Total characters177
Distinct characters98
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)96.0%

Sample

1st row조암
2nd row은성
3rd row대흥장
4th row호수장여관
5th row은실
ValueCountFrequency (%)
천일 2
 
3.8%
호텔 2
 
3.8%
gallery(갤러리 1
 
1.9%
엠호텔 1
 
1.9%
노원그린파크 1
 
1.9%
호텔딘 1
 
1.9%
노원모텔 1
 
1.9%
모모 1
 
1.9%
세피아 1
 
1.9%
호텔에이플러스 1
 
1.9%
Other values (41) 41
77.4%
2024-04-06T21:32:16.889662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 16
 
9.0%
호 12
 
6.8%
장 7
 
4.0%
모 7
 
4.0%
성 6
 
3.4%
관 5
 
2.8%
여 5
 
2.8%
스 4
 
2.3%
대 3
 
1.7%
이 3
 
1.7%
Other values (88) 109
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
90.4%
Uppercase Letter 8
 
4.5%
Space Separator 3
 
1.7%
Decimal Number 3
 
1.7%
Other Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 16
 
10.0%
호 12
 
7.5%
장 7
 
4.4%
모 7
 
4.4%
성 6
 
3.8%
관 5
 
3.1%
여 5
 
3.1%
스 4
 
2.5%
대 3
 
1.9%
이 3
 
1.9%
Other values (74) 92
57.5%
Uppercase Letter
ValueCountFrequency (%)
L 2
25.0%
W 1
12.5%
R 1
12.5%
Y 1
12.5%
E 1
12.5%
A 1
12.5%
G 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
7 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
90.4%
Common 9
 
5.1%
Latin 8
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 16
 
10.0%
호 12
 
7.5%
장 7
 
4.4%
모 7
 
4.4%
성 6
 
3.8%
관 5
 
3.1%
여 5
 
3.1%
스 4
 
2.5%
대 3
 
1.9%
이 3
 
1.9%
Other values (74) 92
57.5%
Common
ValueCountFrequency (%)
3
33.3%
2 1
 
11.1%
. 1
 
11.1%
7 1
 
11.1%
3 1
 
11.1%
) 1
 
11.1%
( 1
 
11.1%
Latin
ValueCountFrequency (%)
L 2
25.0%
W 1
12.5%
R 1
12.5%
Y 1
12.5%
E 1
12.5%
A 1
12.5%
G 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
90.4%
ASCII 17
 
9.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 16
 
10.0%
호 12
 
7.5%
장 7
 
4.4%
모 7
 
4.4%
성 6
 
3.8%
관 5
 
3.1%
여 5
 
3.1%
스 4
 
2.5%
대 3
 
1.9%
이 3
 
1.9%
Other values (74) 92
57.5%
ASCII
ValueCountFrequency (%)
3
17.6%
L 2
11.8%
2 1
 
5.9%
. 1
 
5.9%
7 1
 
5.9%
3 1
 
5.9%
W 1
 
5.9%
R 1
 
5.9%
) 1
 
5.9%
( 1
 
5.9%
Other values (4) 4
23.5%

최종수정일자
Date

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2001-02-23 00:00:00
Maximum2023-11-30 14:48:42
2024-04-06T21:32:17.150970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:32:17.434491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
U
32 
I
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 32
64.0%
I 18
36.0%

Length

2024-04-06T21:32:17.707381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:17.897377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 32
64.0%
i 18
36.0%

데이터갱신일자
Categorical

Distinct23
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2018-08-31 23:59:59.0
18 
2021-12-09 00:06:00.0
10 
2021-06-05 02:40:00.0
2 
2022-10-31 22:02:00.0
 
1
2022-12-03 21:00:00.0
 
1
Other values (18)
18 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique20 ?
Unique (%)40.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2021-12-09 00:06:00.0
4th row2021-06-05 02:40:00.0
5th row2022-12-03 21:00:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 18
36.0%
2021-12-09 00:06:00.0 10
20.0%
2021-06-05 02:40:00.0 2
 
4.0%
2022-10-31 22:02:00.0 1
 
2.0%
2022-12-03 21:00:00.0 1
 
2.0%
2021-03-31 02:40:00.0 1
 
2.0%
2021-10-30 21:00:00.0 1
 
2.0%
2022-12-07 22:04:00.0 1
 
2.0%
2022-10-31 22:04:00.0 1
 
2.0%
2021-12-03 02:40:00.0 1
 
2.0%
Other values (13) 13
26.0%

Length

2024-04-06T21:32:18.107092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 18
18.0%
23:59:59.0 18
18.0%
02:40:00.0 11
11.0%
2021-12-09 10
10.0%
00:06:00.0 10
10.0%
2022-10-31 3
 
3.0%
2021-12-03 3
 
3.0%
22:04:00.0 2
 
2.0%
2021-06-05 2
 
2.0%
21:00:00.0 2
 
2.0%
Other values (20) 21
21.0%

업태구분명
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
여관업
30 
여인숙업
14 
일반호텔
5 
관광호텔
 
1

Length

Max length4
Median length3
Mean length3.4
Min length3

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
여관업 30
60.0%
여인숙업 14
28.0%
일반호텔 5
 
10.0%
관광호텔 1
 
2.0%

Length

2024-04-06T21:32:18.362794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:18.596443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 30
60.0%
여인숙업 14
28.0%
일반호텔 5
 
10.0%
관광호텔 1
 
2.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)98.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean205937.39
Minimum204702.33
Maximum208258.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:32:18.912626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204702.33
5-th percentile204863.97
Q1205067.29
median206166.05
Q3206735.76
95-th percentile206950.08
Maximum208258.3
Range3555.9661
Interquartile range (IQR)1668.469

Descriptive statistics

Standard deviation875.95291
Coefficient of variation (CV)0.0042534914
Kurtosis-0.89084223
Mean205937.39
Median Absolute Deviation (MAD)777.97475
Skewness0.27689045
Sum10090932
Variance767293.51
MonotonicityNot monotonic
2024-04-06T21:32:19.261043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
206826.453496473 2
 
4.0%
206868.991194353 1
 
2.0%
206944.028435482 1
 
2.0%
206409.67386285 1
 
2.0%
205180.090129874 1
 
2.0%
205098.434664551 1
 
2.0%
205025.562497705 1
 
2.0%
205054.463440349 1
 
2.0%
205067.291313483 1
 
2.0%
205084.146485163 1
 
2.0%
Other values (38) 38
76.0%
ValueCountFrequency (%)
204702.330060428 1
2.0%
204711.702135701 1
2.0%
204773.895128388 1
2.0%
204999.089636504 1
2.0%
205007.740797997 1
2.0%
205025.562497705 1
2.0%
205031.910108296 1
2.0%
205033.4545 1
2.0%
205039.048055954 1
2.0%
205046.68660145 1
2.0%
ValueCountFrequency (%)
208258.296165225 1
2.0%
207301.622079319 1
2.0%
206954.111976659 1
2.0%
206944.028435482 1
2.0%
206917.723941533 1
2.0%
206868.991194353 1
2.0%
206834.623125387 1
2.0%
206826.453496473 2
4.0%
206817.273748771 1
2.0%
206797.561945405 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)98.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean460823.95
Minimum456998.15
Maximum463986.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:32:19.579096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456998.15
5-th percentile457258.95
Q1458240.67
median461392.25
Q3462428.75
95-th percentile463409.59
Maximum463986.14
Range6987.9915
Interquartile range (IQR)4188.0868

Descriptive statistics

Standard deviation2156.8729
Coefficient of variation (CV)0.0046804705
Kurtosis-1.0031814
Mean460823.95
Median Absolute Deviation (MAD)1148.8047
Skewness-0.67669938
Sum22580374
Variance4652100.8
MonotonicityNot monotonic
2024-04-06T21:32:20.029681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
457382.850501955 2
 
4.0%
457460.745814566 1
 
2.0%
462902.931253635 1
 
2.0%
457205.608456982 1
 
2.0%
461429.560865478 1
 
2.0%
461347.022786926 1
 
2.0%
461355.195260713 1
 
2.0%
461363.28359456 1
 
2.0%
461397.873903225 1
 
2.0%
461402.607066305 1
 
2.0%
Other values (38) 38
76.0%
ValueCountFrequency (%)
456998.151995701 1
2.0%
457199.677555634 1
2.0%
457205.608456982 1
2.0%
457338.96 1
2.0%
457382.850501955 2
4.0%
457423.674667457 1
2.0%
457460.745814566 1
2.0%
457803.456864964 1
2.0%
457845.127153618 1
2.0%
457919.53767896 1
2.0%
ValueCountFrequency (%)
463986.143535958 1
2.0%
463961.862132076 1
2.0%
463584.13896558 1
2.0%
463147.765634117 1
2.0%
462902.931253635 1
2.0%
462755.839978459 1
2.0%
462742.875479734 1
2.0%
462600.737556402 1
2.0%
462583.086767614 1
2.0%
462577.413400644 1
2.0%

위생업태명
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
21 
여관업
16 
여인숙업
11 
일반호텔
 
2

Length

Max length4
Median length4
Mean length3.68
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
42.0%
여관업 16
32.0%
여인숙업 11
22.0%
일반호텔 2
 
4.0%

Length

2024-04-06T21:32:20.458819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:20.767246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
42.0%
여관업 16
32.0%
여인숙업 11
22.0%
일반호텔 2
 
4.0%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)32.0%
Missing25
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean2.72
Minimum0
Maximum8
Zeros7
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:32:21.008815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7313001
Coefficient of variation (CV)1.0041544
Kurtosis-0.51576384
Mean2.72
Median Absolute Deviation (MAD)2
Skewness0.81340235
Sum68
Variance7.46
MonotonicityNot monotonic
2024-04-06T21:32:21.303654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 7
 
14.0%
1 4
 
8.0%
2 3
 
6.0%
3 3
 
6.0%
8 3
 
6.0%
4 2
 
4.0%
6 2
 
4.0%
5 1
 
2.0%
(Missing) 25
50.0%
ValueCountFrequency (%)
0 7
14.0%
1 4
8.0%
2 3
6.0%
3 3
6.0%
4 2
 
4.0%
5 1
 
2.0%
6 2
 
4.0%
8 3
6.0%
ValueCountFrequency (%)
8 3
6.0%
6 2
 
4.0%
5 1
 
2.0%
4 2
 
4.0%
3 3
6.0%
2 3
6.0%
1 4
8.0%
0 7
14.0%

건물지하층수
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
27 
1
13 
0
10 

Length

Max length4
Median length4
Mean length2.62
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
54.0%
1 13
26.0%
0 10
 
20.0%

Length

2024-04-06T21:32:21.555653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:21.780502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
54.0%
1 13
26.0%
0 10
 
20.0%

사용시작지상층
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
28 
1
11 
0
7 
2
4 

Length

Max length4
Median length4
Mean length2.68
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
56.0%
1 11
 
22.0%
0 7
 
14.0%
2 4
 
8.0%

Length

2024-04-06T21:32:22.017577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:22.325155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
56.0%
1 11
 
22.0%
0 7
 
14.0%
2 4
 
8.0%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)41.2%
Missing33
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean3.4117647
Minimum0
Maximum8
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:32:22.564448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8297267
Coefficient of variation (CV)0.82940264
Kurtosis-1.0804414
Mean3.4117647
Median Absolute Deviation (MAD)1
Skewness0.6113113
Sum58
Variance8.0073529
MonotonicityNot monotonic
2024-04-06T21:32:22.820454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 4
 
8.0%
1 3
 
6.0%
8 3
 
6.0%
3 2
 
4.0%
0 2
 
4.0%
6 2
 
4.0%
5 1
 
2.0%
(Missing) 33
66.0%
ValueCountFrequency (%)
0 2
4.0%
1 3
6.0%
2 4
8.0%
3 2
4.0%
5 1
 
2.0%
6 2
4.0%
8 3
6.0%
ValueCountFrequency (%)
8 3
6.0%
6 2
4.0%
5 1
 
2.0%
3 2
4.0%
2 4
8.0%
1 3
6.0%
0 2
4.0%

사용시작지하층
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
31 
0
17 
1
 
2

Length

Max length4
Median length4
Mean length2.86
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
62.0%
0 17
34.0%
1 2
 
4.0%

Length

2024-04-06T21:32:23.144292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:23.429404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
62.0%
0 17
34.0%
1 2
 
4.0%

사용끝지하층
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
36 
0
13 
1
 
1

Length

Max length4
Median length4
Mean length3.16
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
72.0%
0 13
 
26.0%
1 1
 
2.0%

Length

2024-04-06T21:32:24.133313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:24.345127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
72.0%
0 13
 
26.0%
1 1
 
2.0%

한실수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)41.4%
Missing21
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean4.6551724
Minimum0
Maximum13
Zeros10
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:32:24.543026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q38
95-th percentile12.2
Maximum13
Range13
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.401914
Coefficient of variation (CV)0.94559635
Kurtosis-1.1521809
Mean4.6551724
Median Absolute Deviation (MAD)4
Skewness0.39416532
Sum135
Variance19.376847
MonotonicityNot monotonic
2024-04-06T21:32:24.924020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
20.0%
8 3
 
6.0%
3 3
 
6.0%
10 2
 
4.0%
13 2
 
4.0%
6 2
 
4.0%
7 2
 
4.0%
4 1
 
2.0%
11 1
 
2.0%
5 1
 
2.0%
Other values (2) 2
 
4.0%
(Missing) 21
42.0%
ValueCountFrequency (%)
0 10
20.0%
1 1
 
2.0%
3 3
 
6.0%
4 1
 
2.0%
5 1
 
2.0%
6 2
 
4.0%
7 2
 
4.0%
8 3
 
6.0%
9 1
 
2.0%
10 2
 
4.0%
ValueCountFrequency (%)
13 2
4.0%
11 1
 
2.0%
10 2
4.0%
9 1
 
2.0%
8 3
6.0%
7 2
4.0%
6 2
4.0%
5 1
 
2.0%
4 1
 
2.0%
3 3
6.0%

양실수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)60.9%
Missing27
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean14.043478
Minimum0
Maximum50
Zeros8
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:32:25.148620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q326
95-th percentile46.5
Maximum50
Range50
Interquartile range (IQR)26

Descriptive statistics

Standard deviation16.526778
Coefficient of variation (CV)1.1768294
Kurtosis-0.22771287
Mean14.043478
Median Absolute Deviation (MAD)7
Skewness1.0323808
Sum323
Variance273.13439
MonotonicityNot monotonic
2024-04-06T21:32:25.413959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8
 
16.0%
7 2
 
4.0%
5 2
 
4.0%
18 1
 
2.0%
11 1
 
2.0%
10 1
 
2.0%
42 1
 
2.0%
27 1
 
2.0%
47 1
 
2.0%
6 1
 
2.0%
Other values (4) 4
 
8.0%
(Missing) 27
54.0%
ValueCountFrequency (%)
0 8
16.0%
5 2
 
4.0%
6 1
 
2.0%
7 2
 
4.0%
10 1
 
2.0%
11 1
 
2.0%
18 1
 
2.0%
25 1
 
2.0%
27 1
 
2.0%
30 1
 
2.0%
ValueCountFrequency (%)
50 1
2.0%
47 1
2.0%
42 1
2.0%
33 1
2.0%
30 1
2.0%
27 1
2.0%
25 1
2.0%
18 1
2.0%
11 1
2.0%
10 1
2.0%

욕실수
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
31 
0
17 
27
 
1
60
 
1

Length

Max length4
Median length4
Mean length2.9
Min length1

Unique

Unique2 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
62.0%
0 17
34.0%
27 1
 
2.0%
60 1
 
2.0%

Length

2024-04-06T21:32:25.745710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:25.953935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
62.0%
0 17
34.0%
27 1
 
2.0%
60 1
 
2.0%

발한실여부
Boolean

MISSING 

Distinct2
Distinct (%)6.9%
Missing21
Missing (%)42.0%
Memory size232.0 B
True
17 
False
12 
(Missing)
21 
ValueCountFrequency (%)
True 17
34.0%
False 12
24.0%
(Missing) 21
42.0%
2024-04-06T21:32:26.146936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
31 
0
17 
33
 
1
60
 
1

Length

Max length4
Median length4
Mean length2.9
Min length1

Unique

Unique2 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
62.0%
0 17
34.0%
33 1
 
2.0%
60 1
 
2.0%

Length

2024-04-06T21:32:26.464564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:26.706070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
62.0%
0 17
34.0%
33 1
 
2.0%
60 1
 
2.0%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

세탁기수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
36 
0
14 

Length

Max length4
Median length4
Mean length3.16
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
72.0%
0 14
 
28.0%

Length

2024-04-06T21:32:27.013327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:27.311262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
72.0%
0 14
 
28.0%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
0
 
2

Length

Max length4
Median length4
Mean length3.88
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> 48
96.0%
0 2
 
4.0%

Length

2024-04-06T21:32:27.601370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:27.799383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
0 2
 
4.0%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
0
 
2

Length

Max length4
Median length4
Mean length3.88
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> 48
96.0%
0 2
 
4.0%

Length

2024-04-06T21:32:28.011722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:28.213639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
0 2
 
4.0%

회수건조수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
36 
0
14 

Length

Max length4
Median length4
Mean length3.16
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
72.0%
0 14
 
28.0%

Length

2024-04-06T21:32:28.428662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:28.625976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
72.0%
0 14
 
28.0%

침대수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
36 
0
14 

Length

Max length4
Median length4
Mean length3.16
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
72.0%
0 14
 
28.0%

Length

2024-04-06T21:32:28.926941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:32:29.207195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
72.0%
0 14
 
28.0%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.4%
Missing21
Missing (%)42.0%
Memory size232.0 B
False
29 
(Missing)
21 
ValueCountFrequency (%)
False 29
58.0%
(Missing) 21
42.0%
2024-04-06T21:32:29.352294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
031000003100000-201-1967-0004519671113<NA>3폐업2폐업19951023<NA><NA><NA>02 992225647.55139838서울특별시 노원구 상계동 1132-28번지<NA><NA>조암2001-09-29 00:00:00I2018-08-31 23:59:59.0여인숙업204711.702136463961.862132여인숙업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
131000003100000-201-1968-0002819680622<NA>3폐업2폐업20010522<NA><NA><NA>0209727331.00139800서울특별시 노원구 공릉동 27-11번지<NA><NA>은성2001-05-25 00:00:00I2018-08-31 23:59:59.0여관업208258.296165458240.665998여관업000<NA>0<NA>1000Y0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
231000003100000-201-1969-0001519690414<NA>1영업/정상1영업<NA><NA><NA><NA>020936674070.25139813서울특별시 노원구 상계동 156-24서울특별시 노원구 한글비석로24라길 5 (상계동)1664대흥장2022-09-04 09:25:30U2021-12-09 00:06:00.0여관업206344.701861462296.93821<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
331000003100000-201-1969-0003819690512<NA>1영업/정상1영업<NA><NA><NA><NA>0233914874169.69139810서울특별시 노원구 상계동 101-28서울특별시 노원구 덕릉로115나길 5 (상계동)1638호수장여관2021-06-03 07:47:35U2021-06-05 02:40:00.0여인숙업206790.149831462742.87548여인숙업2112001000N0<NA><NA><NA><NA>0<NA><NA>00N
431000003100000-201-1969-000391969-07-28<NA>3폐업2폐업2023-04-28<NA><NA><NA><NA>82.65139-810서울특별시 노원구 상계동 101-25서울특별시 노원구 덕릉로115나길 9 (상계동)1638은실2023-04-28 13:45:18U2022-12-03 21:00:00.0여인숙업206797.561945462755.839978<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
531000003100000-201-1970-0000119700902<NA>3폐업2폐업20180201<NA><NA><NA>9342025305.98139810서울특별시 노원구 상계동 95-1번지서울특별시 노원구 덕릉로112길 6 (상계동)1648제일여관2018-02-01 17:24:10I2018-08-31 23:59:59.0여관업206834.623125462600.737556여관업3123<NA><NA>13<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
631000003100000-201-1971-0002919711122<NA>1영업/정상1영업<NA><NA><NA><NA>020930452442.40139815서울특별시 노원구 상계동 169-221서울특별시 노원구 한글비석로23길 37 (상계동)1683도봉2022-09-04 09:27:47U2021-12-09 00:06:00.0여인숙업206209.779334461871.106503<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
731000003100000-201-1971-0003719710612<NA>3폐업2폐업20170823<NA><NA><NA>023391612267.47139810서울특별시 노원구 상계동 83-10번지서울특별시 노원구 덕릉로95가길 34 (상계동)1640황실2017-08-23 10:33:52I2018-08-31 23:59:59.0여인숙업206735.760335462583.086768여인숙업1<NA>11<NA><NA>8<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
831000003100000-201-1971-0004319710917<NA>3폐업2폐업20180206<NA><NA><NA>020941182695.84139845서울특별시 노원구 월계동 379-16번지서울특별시 노원구 석계로18길 10-5 (월계동)1886엠모텔2018-02-06 14:55:13I2018-08-31 23:59:59.0여관업205284.942015457919.537679여관업<NA><NA><NA><NA><NA><NA>13<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
931000003100000-201-1972-0001619721014<NA>1영업/정상1영업<NA><NA><NA><NA>02 936037349.10139815서울특별시 노원구 상계동 169-136서울특별시 노원구 상계로23나길 42 (상계동)1682대신여관2022-09-04 09:28:22U2021-12-09 00:06:00.0여관업206177.933713461937.413218<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
4031000003100000-201-1998-0003519981220<NA>3폐업2폐업20180323<NA><NA><NA>020952843235.78139810서울특별시 노원구 상계동 83-16번지서울특별시 노원구 덕릉로103길 6 (상계동)1640금성여관2018-03-23 14:44:33I2018-08-31 23:59:59.0여인숙업206710.922874462541.056228여인숙업000000900N0<NA><NA><NA><NA>0<NA><NA>00N
4131000003100000-201-1999-0000119991215<NA>3폐업2폐업20210726<NA><NA><NA>02 936614544.83139815서울특별시 노원구 상계동 169-29서울특별시 노원구 상계로23다길 43-1 (상계동)1682경북2021-07-26 11:03:28U2021-07-28 02:40:00.0여인숙업206166.053688461978.478266여인숙업100000060N0<NA><NA><NA><NA>00000N
4231000003100000-201-2000-0004620000629<NA>1영업/정상1영업<NA><NA><NA><NA>02209100144,996.06139942서울특별시 노원구 상계동 702-1, 2서울특별시 노원구 노해로75길 20-7 (상계동)1689릿츠호텔2022-09-04 09:19:27U2021-12-09 00:06:00.0일반호텔205031.910108461387.92537<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4331000003100000-201-2001-0004720010121<NA>1영업/정상1영업<NA><NA><NA><NA>02 935716110,277.75139200서울특별시 노원구 상계동 711-9 ,11서울특별시 노원구 노해로77길 22 (상계동,,11)1689노블레스관광호텔2022-09-04 09:37:32U2021-12-09 00:06:00.0관광호텔205157.947515461423.045064<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4431000003100000-201-2004-0000120040712<NA>1영업/정상1영업<NA><NA><NA><NA>02 97519112,294.01139808서울특별시 노원구 공릉동 670-8서울특별시 노원구 화랑로 445 (공릉동, 공릉동 670-8)1849W호텔2021-06-09 09:47:29U2021-06-11 02:40:00.0일반호텔206708.255457338.96일반호텔8128000500N0<NA><NA><NA><NA>0<NA><NA>00N
4531000003100000-201-2005-0000120050216<NA>1영업/정상1영업<NA><NA><NA><NA>02 93500662,292.63139942서울특별시 노원구 상계동 702-3서울특별시 노원구 상계로 26 (상계동)1689필름37.2호텔2022-04-11 14:25:27U2021-12-03 23:03:00.0여관업205047.307123461392.251564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4631000003100000-201-2005-0000220051028<NA>1영업/정상1영업<NA><NA><NA><NA>02 93755251,052.84139942서울특별시 노원구 상계동 703-2서울특별시 노원구 노해로75길 14-9 (상계동)1689호텔어반2021-06-17 15:18:58U2021-06-19 02:40:00.0여관업205039.048056461358.96922여관업8118110330N0<NA><NA><NA><NA>0<NA><NA>00N
4731000003100000-201-2005-0000320051028<NA>1영업/정상1영업<NA><NA><NA><NA>02 9321188996.68139942서울특별시 노원구 상계동 704-2서울특별시 노원구 노해로75길 14-10 (상계동)1689월 호텔2020-08-31 14:55:50U2020-09-02 02:40:00.0여관업205046.686601461332.538873여관업6116000250N0<NA><NA><NA><NA>0<NA><NA>00N
4831000003100000-201-2008-000012008-09-02<NA>1영업/정상1영업<NA><NA><NA><NA>02 9722031257.20139-808서울특별시 노원구 공릉동 661-9 (2층.3층)서울특별시 노원구 화랑로 459 (공릉동,(2층.3층))1849태릉스테이2023-11-30 14:48:42U2022-11-02 00:02:00.0여관업206826.453496457382.850502<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4931000003100000-201-2009-0000120091230<NA>1영업/정상1영업<NA><NA><NA><NA>9307755921.55139942서울특별시 노원구 상계동 704-1번지서울특별시 노원구 노해로75길 14-8 (상계동)1689브이모텔2018-02-20 11:16:45I2018-08-31 23:59:59.0여관업205033.4545461328.8365여관업6116100300N0<NA><NA><NA><NA>0<NA><NA>00N