Overview

Dataset statistics

Number of variables60
Number of observations47
Missing cells1289
Missing cells (%)45.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.0 KiB
Average record size in memory523.8 B

Variable types

Categorical21
Text9
DateTime4
Unsupported21
Numeric5

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),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17463/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영문상호명 has constant value ""Constant
영문상호주소 has constant value ""Constant
건물용도명 is highly imbalanced (51.7%)Imbalance
인허가취소일자 has 47 (100.0%) missing valuesMissing
폐업일자 has 29 (61.7%) missing valuesMissing
휴업시작일자 has 47 (100.0%) missing valuesMissing
휴업종료일자 has 47 (100.0%) missing valuesMissing
재개업일자 has 47 (100.0%) missing valuesMissing
전화번호 has 44 (93.6%) missing valuesMissing
소재지면적 has 47 (100.0%) missing valuesMissing
소재지우편번호 has 35 (74.5%) missing valuesMissing
도로명우편번호 has 15 (31.9%) missing valuesMissing
업태구분명 has 47 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.1%) missing valuesMissing
좌표정보(Y) has 1 (2.1%) missing valuesMissing
문화사업자구분명 has 47 (100.0%) missing valuesMissing
주변환경명 has 45 (95.7%) missing valuesMissing
제작취급품목내용 has 47 (100.0%) missing valuesMissing
보험기관명 has 47 (100.0%) missing valuesMissing
영문상호명 has 46 (97.9%) missing valuesMissing
영문상호주소 has 46 (97.9%) missing valuesMissing
선박제원 has 47 (100.0%) missing valuesMissing
기념품종류 has 47 (100.0%) missing valuesMissing
시설면적 has 20 (42.6%) missing valuesMissing
놀이기구수내역 has 47 (100.0%) missing valuesMissing
방송시설유무 has 47 (100.0%) missing valuesMissing
발전시설유무 has 47 (100.0%) missing valuesMissing
의무실유무 has 47 (100.0%) missing valuesMissing
안내소유무 has 47 (100.0%) missing valuesMissing
기획여행보험시작일자 has 47 (100.0%) missing valuesMissing
기획여행보험종료일자 has 47 (100.0%) missing valuesMissing
보험시작일자 has 47 (100.0%) missing valuesMissing
보험종료일자 has 47 (100.0%) missing valuesMissing
부대시설내역 has 47 (100.0%) missing valuesMissing
시설규모 has 20 (42.6%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:13:09.558909
Analysis finished2024-05-11 07:13:10.083288
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
3110000
47 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 47
100.0%

Length

2024-05-11T16:13:10.138904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:10.215082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 47
100.0%

관리번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T16:13:10.369442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters940
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212023000007
2nd rowCDFI2262212023000006
3rd rowCDFI2262212023000010
4th rowCDFI2262212023000009
5th rowCDFI2262212023000013
ValueCountFrequency (%)
cdfi2262212023000007 1
 
2.1%
cdfi2262212023000002 1
 
2.1%
cdfi2262212021000002 1
 
2.1%
cdfi2262212021000001 1
 
2.1%
cdfi2262212023000012 1
 
2.1%
cdfi2262212024000001 1
 
2.1%
cdfi2262212014000005 1
 
2.1%
cdfi2262212020000003 1
 
2.1%
cdfi2262212017000001 1
 
2.1%
cdfi2262212017000002 1
 
2.1%
Other values (37) 37
78.7%
2024-05-11T16:13:10.695126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 278
29.6%
2 271
28.8%
1 92
 
9.8%
6 55
 
5.9%
C 47
 
5.0%
D 47
 
5.0%
F 47
 
5.0%
I 47
 
5.0%
3 28
 
3.0%
4 12
 
1.3%
Other values (4) 16
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 752
80.0%
Uppercase Letter 188
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 278
37.0%
2 271
36.0%
1 92
 
12.2%
6 55
 
7.3%
3 28
 
3.7%
4 12
 
1.6%
5 8
 
1.1%
7 4
 
0.5%
9 3
 
0.4%
8 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 47
25.0%
D 47
25.0%
F 47
25.0%
I 47
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 752
80.0%
Latin 188
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 278
37.0%
2 271
36.0%
1 92
 
12.2%
6 55
 
7.3%
3 28
 
3.7%
4 12
 
1.6%
5 8
 
1.1%
7 4
 
0.5%
9 3
 
0.4%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
C 47
25.0%
D 47
25.0%
F 47
25.0%
I 47
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 278
29.6%
2 271
28.8%
1 92
 
9.8%
6 55
 
5.9%
C 47
 
5.0%
D 47
 
5.0%
F 47
 
5.0%
I 47
 
5.0%
3 28
 
3.0%
4 12
 
1.3%
Other values (4) 16
 
1.7%

인허가일자
Date

Distinct43
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2012-07-30 00:00:00
Maximum2024-02-06 00:00:00
2024-05-11T16:13:10.826154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:13:10.958614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
1
29 
3
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
61.7%
3 18
38.3%

Length

2024-05-11T16:13:11.080213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:11.159902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
61.7%
3 18
38.3%

영업상태명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업/정상
29 
폐업
18 

Length

Max length5
Median length5
Mean length3.8510638
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 29
61.7%
폐업 18
38.3%

Length

2024-05-11T16:13:11.249282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:11.565406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
61.7%
폐업 18
38.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
13
29 
3
18 

Length

Max length2
Median length2
Mean length1.6170213
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 29
61.7%
3 18
38.3%

Length

2024-05-11T16:13:11.671665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:11.765366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 29
61.7%
3 18
38.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업중
29 
폐업
18 

Length

Max length3
Median length3
Mean length2.6170213
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 29
61.7%
폐업 18
38.3%

Length

2024-05-11T16:13:11.871351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:11.972617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 29
61.7%
폐업 18
38.3%

폐업일자
Date

MISSING 

Distinct18
Distinct (%)100.0%
Missing29
Missing (%)61.7%
Memory size508.0 B
Minimum2016-10-31 00:00:00
Maximum2024-02-06 00:00:00
2024-05-11T16:13:12.084146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:13:12.215032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing44
Missing (%)93.6%
Memory size508.0 B
2024-05-11T16:13:12.364602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.666667
Min length8

Characters and Unicode

Total characters32
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

Unique3 ?
Unique (%)100.0%

Sample

1st row23598450
2nd row070-4025-3582
3rd row02-386-8416
ValueCountFrequency (%)
23598450 1
33.3%
070-4025-3582 1
33.3%
02-386-8416 1
33.3%
2024-05-11T16:13:12.635824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.6%
2 4
12.5%
5 4
12.5%
8 4
12.5%
- 4
12.5%
3 3
9.4%
4 3
9.4%
6 2
 
6.2%
9 1
 
3.1%
7 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
87.5%
Dash Punctuation 4
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
17.9%
2 4
14.3%
5 4
14.3%
8 4
14.3%
3 3
10.7%
4 3
10.7%
6 2
 
7.1%
9 1
 
3.6%
7 1
 
3.6%
1 1
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
15.6%
2 4
12.5%
5 4
12.5%
8 4
12.5%
- 4
12.5%
3 3
9.4%
4 3
9.4%
6 2
 
6.2%
9 1
 
3.1%
7 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
15.6%
2 4
12.5%
5 4
12.5%
8 4
12.5%
- 4
12.5%
3 3
9.4%
4 3
9.4%
6 2
 
6.2%
9 1
 
3.1%
7 1
 
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

소재지우편번호
Text

MISSING 

Distinct11
Distinct (%)91.7%
Missing35
Missing (%)74.5%
Memory size508.0 B
2024-05-11T16:13:12.789310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters84
Distinct characters10
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

Unique10 ?
Unique (%)83.3%

Sample

1st row122-882
2nd row122-847
3rd row122-814
4th row122-736
5th row122-818
ValueCountFrequency (%)
122-882 2
16.7%
122-847 1
8.3%
122-814 1
8.3%
122-736 1
8.3%
122-818 1
8.3%
122-940 1
8.3%
122-924 1
8.3%
122-733 1
8.3%
122-737 1
8.3%
122-822 1
8.3%
2024-05-11T16:13:13.057383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 30
35.7%
1 14
16.7%
- 12
 
14.3%
8 9
 
10.7%
7 6
 
7.1%
3 5
 
6.0%
4 4
 
4.8%
9 2
 
2.4%
6 1
 
1.2%
0 1
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
85.7%
Dash Punctuation 12
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 30
41.7%
1 14
19.4%
8 9
 
12.5%
7 6
 
8.3%
3 5
 
6.9%
4 4
 
5.6%
9 2
 
2.8%
6 1
 
1.4%
0 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 30
35.7%
1 14
16.7%
- 12
 
14.3%
8 9
 
10.7%
7 6
 
7.1%
3 5
 
6.0%
4 4
 
4.8%
9 2
 
2.4%
6 1
 
1.2%
0 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 30
35.7%
1 14
16.7%
- 12
 
14.3%
8 9
 
10.7%
7 6
 
7.1%
3 5
 
6.0%
4 4
 
4.8%
9 2
 
2.4%
6 1
 
1.2%
0 1
 
1.2%

지번주소
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T16:13:13.299882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length24.361702
Min length18

Characters and Unicode

Total characters1145
Distinct characters77
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 불광동 297-26 301호
2nd row서울특별시 은평구 대조동 199-32 세림센타빌 201호
3rd row서울특별시 은평구 대조동 83-5 4층
4th row서울특별시 은평구 불광동 290-57 2층
5th row서울특별시 은평구 녹번동 29-53 102호
ValueCountFrequency (%)
서울특별시 47
20.0%
은평구 47
20.0%
진관동 10
 
4.3%
불광동 7
 
3.0%
갈현동 7
 
3.0%
대조동 6
 
2.6%
신사동 5
 
2.1%
역촌동 4
 
1.7%
301호 4
 
1.7%
은평뉴타운 3
 
1.3%
Other values (83) 95
40.4%
2024-05-11T16:13:13.709171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
16.4%
2 56
 
4.9%
동 56
 
4.9%
평 53
 
4.6%
은 53
 
4.6%
구 48
 
4.2%
울 47
 
4.1%
서 47
 
4.1%
시 47
 
4.1%
별 47
 
4.1%
Other values (67) 503
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 657
57.4%
Decimal Number 261
 
22.8%
Space Separator 188
 
16.4%
Dash Punctuation 38
 
3.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
 
8.5%
평 53
 
8.1%
은 53
 
8.1%
구 48
 
7.3%
울 47
 
7.2%
서 47
 
7.2%
시 47
 
7.2%
별 47
 
7.2%
특 47
 
7.2%
호 16
 
2.4%
Other values (54) 196
29.8%
Decimal Number
ValueCountFrequency (%)
2 56
21.5%
1 42
16.1%
0 32
12.3%
3 26
10.0%
4 25
9.6%
9 19
 
7.3%
5 17
 
6.5%
7 17
 
6.5%
8 14
 
5.4%
6 13
 
5.0%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 657
57.4%
Common 487
42.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
 
8.5%
평 53
 
8.1%
은 53
 
8.1%
구 48
 
7.3%
울 47
 
7.2%
서 47
 
7.2%
시 47
 
7.2%
별 47
 
7.2%
특 47
 
7.2%
호 16
 
2.4%
Other values (54) 196
29.8%
Common
ValueCountFrequency (%)
188
38.6%
2 56
 
11.5%
1 42
 
8.6%
- 38
 
7.8%
0 32
 
6.6%
3 26
 
5.3%
4 25
 
5.1%
9 19
 
3.9%
5 17
 
3.5%
7 17
 
3.5%
Other values (2) 27
 
5.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 657
57.4%
ASCII 488
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
38.5%
2 56
 
11.5%
1 42
 
8.6%
- 38
 
7.8%
0 32
 
6.6%
3 26
 
5.3%
4 25
 
5.1%
9 19
 
3.9%
5 17
 
3.5%
7 17
 
3.5%
Other values (3) 28
 
5.7%
Hangul
ValueCountFrequency (%)
동 56
 
8.5%
평 53
 
8.1%
은 53
 
8.1%
구 48
 
7.3%
울 47
 
7.2%
서 47
 
7.2%
시 47
 
7.2%
별 47
 
7.2%
특 47
 
7.2%
호 16
 
2.4%
Other values (54) 196
29.8%

도로명주소
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T16:13:14.009002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length34.446809
Min length25

Characters and Unicode

Total characters1619
Distinct characters102
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

Unique47 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 통일로78길 12-21, 301호 (불광동)
2nd row서울특별시 은평구 연서로24길 3-1, 201호 (대조동, 세림센타빌)
3rd row서울특별시 은평구 통일로71길 24-5, 4층 (대조동)
4th row서울특별시 은평구 통일로72길 5-1, 2층 (불광동)
5th row서울특별시 은평구 통일로59길 11, 102호 (녹번동)
ValueCountFrequency (%)
서울특별시 47
 
15.0%
은평구 47
 
15.0%
진관동 10
 
3.2%
불광동 7
 
2.2%
갈현동 7
 
2.2%
301호 6
 
1.9%
2층 6
 
1.9%
대조동 6
 
1.9%
신사동 5
 
1.6%
역촌동 4
 
1.3%
Other values (136) 169
53.8%
2024-05-11T16:13:14.379822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
267
 
16.5%
1 61
 
3.8%
동 61
 
3.8%
서 58
 
3.6%
2 56
 
3.5%
은 55
 
3.4%
평 55
 
3.4%
, 51
 
3.2%
구 49
 
3.0%
로 47
 
2.9%
Other values (92) 859
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 856
52.9%
Decimal Number 323
 
20.0%
Space Separator 267
 
16.5%
Other Punctuation 51
 
3.2%
Open Punctuation 47
 
2.9%
Close Punctuation 47
 
2.9%
Dash Punctuation 27
 
1.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 61
 
7.1%
서 58
 
6.8%
은 55
 
6.4%
평 55
 
6.4%
구 49
 
5.7%
로 47
 
5.5%
울 47
 
5.5%
시 47
 
5.5%
별 47
 
5.5%
특 47
 
5.5%
Other values (76) 343
40.1%
Decimal Number
ValueCountFrequency (%)
1 61
18.9%
2 56
17.3%
0 43
13.3%
3 41
12.7%
4 31
9.6%
5 31
9.6%
7 27
8.4%
9 13
 
4.0%
6 11
 
3.4%
8 9
 
2.8%
Space Separator
ValueCountFrequency (%)
267
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 856
52.9%
Common 762
47.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 61
 
7.1%
서 58
 
6.8%
은 55
 
6.4%
평 55
 
6.4%
구 49
 
5.7%
로 47
 
5.5%
울 47
 
5.5%
시 47
 
5.5%
별 47
 
5.5%
특 47
 
5.5%
Other values (76) 343
40.1%
Common
ValueCountFrequency (%)
267
35.0%
1 61
 
8.0%
2 56
 
7.3%
, 51
 
6.7%
( 47
 
6.2%
) 47
 
6.2%
0 43
 
5.6%
3 41
 
5.4%
4 31
 
4.1%
5 31
 
4.1%
Other values (5) 87
 
11.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 856
52.9%
ASCII 763
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
267
35.0%
1 61
 
8.0%
2 56
 
7.3%
, 51
 
6.7%
( 47
 
6.2%
) 47
 
6.2%
0 43
 
5.6%
3 41
 
5.4%
4 31
 
4.1%
5 31
 
4.1%
Other values (6) 88
 
11.5%
Hangul
ValueCountFrequency (%)
동 61
 
7.1%
서 58
 
6.8%
은 55
 
6.4%
평 55
 
6.4%
구 49
 
5.7%
로 47
 
5.5%
울 47
 
5.5%
시 47
 
5.5%
별 47
 
5.5%
특 47
 
5.5%
Other values (76) 343
40.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)78.1%
Missing15
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3376.375
Minimum3305
Maximum3506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T16:13:14.510246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3305
5-th percentile3307.1
Q13330.75
median3382
Q33406.75
95-th percentile3473.9
Maximum3506
Range201
Interquartile range (IQR)76

Descriptive statistics

Standard deviation54.942052
Coefficient of variation (CV)0.016272497
Kurtosis-0.4479766
Mean3376.375
Median Absolute Deviation (MAD)49
Skewness0.56154693
Sum108044
Variance3018.629
MonotonicityNot monotonic
2024-05-11T16:13:14.624673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3351 3
 
6.4%
3308 2
 
4.3%
3432 2
 
4.3%
3330 2
 
4.3%
3386 2
 
4.3%
3382 2
 
4.3%
3305 1
 
2.1%
3395 1
 
2.1%
3334 1
 
2.1%
3310 1
 
2.1%
Other values (15) 15
31.9%
(Missing) 15
31.9%
ValueCountFrequency (%)
3305 1
2.1%
3306 1
2.1%
3308 2
4.3%
3310 1
2.1%
3320 1
2.1%
3330 2
4.3%
3331 1
2.1%
3334 1
2.1%
3337 1
2.1%
3347 1
2.1%
ValueCountFrequency (%)
3506 1
2.1%
3475 1
2.1%
3473 1
2.1%
3443 1
2.1%
3439 1
2.1%
3432 2
4.3%
3418 1
2.1%
3403 1
2.1%
3395 1
2.1%
3392 1
2.1%

사업장명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T16:13:14.839336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.1276596
Min length2

Characters and Unicode

Total characters335
Distinct characters124
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

Unique47 ?
Unique (%)100.0%

Sample

1st row연서스테이
2nd row루나 게스트하우스
3rd row공간BNB
4th row비비르 스테이 서울
5th row루돌스테이
ValueCountFrequency (%)
house 4
 
5.4%
스테이 3
 
4.1%
집 3
 
4.1%
홈스테이 2
 
2.7%
글로벌 2
 
2.7%
서울 2
 
2.7%
제이에스하우스 2
 
2.7%
옐로우 1
 
1.4%
db 1
 
1.4%
하우스 1
 
1.4%
Other values (53) 53
71.6%
2024-05-11T16:13:15.225276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 29
 
8.7%
27
 
8.1%
이 17
 
5.1%
테 12
 
3.6%
하 11
 
3.3%
우 11
 
3.3%
o 9
 
2.7%
e 8
 
2.4%
s 6
 
1.8%
h 5
 
1.5%
Other values (114) 200
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
62.4%
Lowercase Letter 58
 
17.3%
Space Separator 27
 
8.1%
Uppercase Letter 27
 
8.1%
Decimal Number 7
 
2.1%
Open Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 29
 
13.9%
이 17
 
8.1%
테 12
 
5.7%
하 11
 
5.3%
우 11
 
5.3%
홈 4
 
1.9%
로 4
 
1.9%
마 4
 
1.9%
집 4
 
1.9%
서 4
 
1.9%
Other values (73) 109
52.2%
Lowercase Letter
ValueCountFrequency (%)
o 9
15.5%
e 8
13.8%
s 6
10.3%
h 5
8.6%
i 5
8.6%
u 5
8.6%
t 3
 
5.2%
l 2
 
3.4%
g 2
 
3.4%
b 2
 
3.4%
Other values (9) 11
19.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
11.1%
S 3
11.1%
B 3
11.1%
L 3
11.1%
E 3
11.1%
R 2
7.4%
T 2
7.4%
H 2
7.4%
N 2
7.4%
A 1
 
3.7%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
3 2
28.6%
4 1
14.3%
9 1
14.3%
2 1
14.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
62.1%
Latin 85
25.4%
Common 41
 
12.2%
Han 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 29
 
13.9%
이 17
 
8.2%
테 12
 
5.8%
하 11
 
5.3%
우 11
 
5.3%
홈 4
 
1.9%
로 4
 
1.9%
마 4
 
1.9%
집 4
 
1.9%
서 4
 
1.9%
Other values (72) 108
51.9%
Latin
ValueCountFrequency (%)
o 9
 
10.6%
e 8
 
9.4%
s 6
 
7.1%
h 5
 
5.9%
i 5
 
5.9%
u 5
 
5.9%
t 3
 
3.5%
M 3
 
3.5%
S 3
 
3.5%
B 3
 
3.5%
Other values (22) 35
41.2%
Common
ValueCountFrequency (%)
27
65.9%
( 3
 
7.3%
) 3
 
7.3%
0 2
 
4.9%
3 2
 
4.9%
4 1
 
2.4%
9 1
 
2.4%
2 1
 
2.4%
- 1
 
2.4%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
62.1%
ASCII 126
37.6%
CJK 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 29
 
13.9%
이 17
 
8.2%
테 12
 
5.8%
하 11
 
5.3%
우 11
 
5.3%
홈 4
 
1.9%
로 4
 
1.9%
마 4
 
1.9%
집 4
 
1.9%
서 4
 
1.9%
Other values (72) 108
51.9%
ASCII
ValueCountFrequency (%)
27
21.4%
o 9
 
7.1%
e 8
 
6.3%
s 6
 
4.8%
h 5
 
4.0%
i 5
 
4.0%
u 5
 
4.0%
t 3
 
2.4%
( 3
 
2.4%
M 3
 
2.4%
Other values (31) 52
41.3%
CJK
ValueCountFrequency (%)
美 1
100.0%

최종수정일자
Date

Distinct35
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2016-10-31 00:00:00
Maximum2024-03-20 18:02:19
2024-05-11T16:13:15.368777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:13:15.483015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
U
27 
I
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 27
57.4%
I 20
42.6%

Length

2024-05-11T16:13:15.598276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:15.686929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 27
57.4%
i 20
42.6%

데이터갱신일자
Date

Distinct26
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2018-08-31 23:59:00
Maximum2023-12-02 22:03:00
2024-05-11T16:13:15.783367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:13:15.898003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)97.8%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean192902.56
Minimum191352.17
Maximum194606.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T16:13:16.027412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191352.17
5-th percentile191727.86
Q1192357.48
median192901.34
Q3193318.81
95-th percentile194124.45
Maximum194606.72
Range3254.554
Interquartile range (IQR)961.33434

Descriptive statistics

Standard deviation791.86753
Coefficient of variation (CV)0.004105013
Kurtosis-0.50219007
Mean192902.56
Median Absolute Deviation (MAD)543.8621
Skewness0.12119803
Sum8873517.9
Variance627054.19
MonotonicityNot monotonic
2024-05-11T16:13:16.146487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
193219.8404 2
 
4.3%
193271.353787481 1
 
2.1%
192701.8115 1
 
2.1%
194076.7785 1
 
2.1%
192579.6732 1
 
2.1%
191672.490055665 1
 
2.1%
193299.496761968 1
 
2.1%
192647.136141272 1
 
2.1%
193979.363395798 1
 
2.1%
192958.265 1
 
2.1%
Other values (35) 35
74.5%
ValueCountFrequency (%)
191352.170028524 1
2.1%
191672.490055665 1
2.1%
191699.0279 1
2.1%
191814.3455 1
2.1%
191855.1857 1
2.1%
191859.560058545 1
2.1%
191860.5005 1
2.1%
191903.3337 1
2.1%
191910.906215849 1
2.1%
192313.8093 1
2.1%
ValueCountFrequency (%)
194606.724 1
2.1%
194556.5411 1
2.1%
194140.340023169 1
2.1%
194076.7785 1
2.1%
194005.336386182 1
2.1%
193979.363395798 1
2.1%
193693.9461 1
2.1%
193665.5755 1
2.1%
193552.3821 1
2.1%
193541.7486 1
2.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)97.8%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean456863.77
Minimum452941.51
Maximum460276.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T16:13:16.268821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452941.51
5-th percentile453978.26
Q1455556.4
median457106.52
Q3457732.53
95-th percentile459714.25
Maximum460276.41
Range7334.8988
Interquartile range (IQR)2176.13

Descriptive statistics

Standard deviation1795.4613
Coefficient of variation (CV)0.0039299707
Kurtosis-0.64371116
Mean456863.77
Median Absolute Deviation (MAD)1378.3888
Skewness-0.024677455
Sum21015733
Variance3223681.1
MonotonicityNot monotonic
2024-05-11T16:13:16.415311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
459010.3359 2
 
4.3%
457282.912412293 1
 
2.1%
457715.1978 1
 
2.1%
455639.0371 1
 
2.1%
459159.5218 1
 
2.1%
454932.162600559 1
 
2.1%
454755.799293247 1
 
2.1%
457439.431579864 1
 
2.1%
457641.39687457 1
 
2.1%
456292.5537 1
 
2.1%
Other values (35) 35
74.5%
ValueCountFrequency (%)
452941.507244136 1
2.1%
453867.6388 1
2.1%
453874.4087 1
2.1%
454289.814187817 1
2.1%
454755.799293247 1
2.1%
454801.407690613 1
2.1%
454801.4077 1
2.1%
454809.3005 1
2.1%
454932.162600559 1
2.1%
455375.622755975 1
2.1%
ValueCountFrequency (%)
460276.406 1
2.1%
459966.0111 1
2.1%
459729.9974 1
2.1%
459666.9933 1
2.1%
459318.4048 1
2.1%
459204.6494 1
2.1%
459159.5218 1
2.1%
459010.3359 2
4.3%
458233.143809693 1
2.1%
458154.0353 1
2.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
외국인관광 도시민박업
29 
<NA>
18 

Length

Max length11
Median length11
Mean length8.3191489
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인관광 도시민박업 29
61.7%
<NA> 18
38.3%

Length

2024-05-11T16:13:16.558958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:16.653299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 29
38.2%
도시민박업 29
38.2%
na 18
23.7%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

지역구분명
Categorical

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
35 
일반주거지역
8 
주거지역
 
2
준주거지역
 
2

Length

Max length6
Median length4
Mean length4.3829787
Min length4

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> 35
74.5%
일반주거지역 8
 
17.0%
주거지역 2
 
4.3%
준주거지역 2
 
4.3%

Length

2024-05-11T16:13:16.766919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:16.881690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
74.5%
일반주거지역 8
 
17.0%
주거지역 2
 
4.3%
준주거지역 2
 
4.3%

총층수
Categorical

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
33 
0
11 
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.106383
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
70.2%
0 11
 
23.4%
2 2
 
4.3%
3 1
 
2.1%

Length

2024-05-11T16:13:16.990542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:17.093045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
70.2%
0 11
 
23.4%
2 2
 
4.3%
3 1
 
2.1%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing45
Missing (%)95.7%
Memory size508.0 B
2024-05-11T16:13:17.193967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row주택가주변
2nd row아파트지역
ValueCountFrequency (%)
주택가주변 1
50.0%
아파트지역 1
50.0%
2024-05-11T16:13:17.435892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
20.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
20.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
20.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
20.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
37 
아파트
5 
다세대주택
 
2
단독주택
 
2
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.1702128
Min length3

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
78.7%
아파트 5
 
10.6%
다세대주택 2
 
4.3%
단독주택 2
 
4.3%
다가구용 주택(공동주택적용) 1
 
2.1%

Length

2024-05-11T16:13:17.552641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:17.644532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
아파트 5
 
10.4%
다세대주택 2
 
4.2%
단독주택 2
 
4.2%
다가구용 1
 
2.1%
주택(공동주택적용 1
 
2.1%

지상층수
Categorical

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
33 
0
11 
2
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.106383
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
70.2%
0 11
 
23.4%
2 2
 
4.3%
1 1
 
2.1%

Length

2024-05-11T16:13:17.753871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:17.878172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
70.2%
0 11
 
23.4%
2 2
 
4.3%
1 1
 
2.1%

지하층수
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
33 
0
11 
1
 
3

Length

Max length4
Median length4
Mean length3.106383
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> 33
70.2%
0 11
 
23.4%
1 3
 
6.4%

Length

2024-05-11T16:13:17.996193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:18.124696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
70.2%
0 11
 
23.4%
1 3
 
6.4%

객실수
Categorical

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
34 
3
6 
2
 
3
1
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.1914894
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
72.3%
3 6
 
12.8%
2 3
 
6.4%
1 2
 
4.3%
4 1
 
2.1%
10 1
 
2.1%

Length

2024-05-11T16:13:18.253097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:18.373213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
72.3%
3 6
 
12.8%
2 3
 
6.4%
1 2
 
4.3%
4 1
 
2.1%
10 1
 
2.1%

건축연면적
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
34 
0
13 

Length

Max length4
Median length4
Mean length3.1702128
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> 34
72.3%
0 13
 
27.7%

Length

2024-05-11T16:13:18.522023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:18.622824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
72.3%
0 13
 
27.7%

영문상호명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing46
Missing (%)97.9%
Memory size508.0 B
2024-05-11T16:13:18.707048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowTHUMB
ValueCountFrequency (%)
thumb 1
100.0%
2024-05-11T16:13:18.941871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 1
20.0%
H 1
20.0%
U 1
20.0%
M 1
20.0%
B 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 5
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
H 1
20.0%
U 1
20.0%
M 1
20.0%
B 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 1
20.0%
H 1
20.0%
U 1
20.0%
M 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 1
20.0%
H 1
20.0%
U 1
20.0%
M 1
20.0%
B 1
20.0%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing46
Missing (%)97.9%
Memory size508.0 B
2024-05-11T16:13:19.074624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters24
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowTourist service facility
ValueCountFrequency (%)
tourist 1
33.3%
service 1
33.3%
facility 1
33.3%
2024-05-11T16:13:19.330725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 4
16.7%
r 2
 
8.3%
s 2
 
8.3%
t 2
 
8.3%
2
 
8.3%
e 2
 
8.3%
c 2
 
8.3%
T 1
 
4.2%
o 1
 
4.2%
u 1
 
4.2%
Other values (5) 5
20.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21
87.5%
Space Separator 2
 
8.3%
Uppercase Letter 1
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 4
19.0%
r 2
9.5%
s 2
9.5%
t 2
9.5%
e 2
9.5%
c 2
9.5%
o 1
 
4.8%
u 1
 
4.8%
v 1
 
4.8%
f 1
 
4.8%
Other values (3) 3
14.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22
91.7%
Common 2
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 4
18.2%
r 2
9.1%
s 2
9.1%
t 2
9.1%
e 2
9.1%
c 2
9.1%
T 1
 
4.5%
o 1
 
4.5%
u 1
 
4.5%
v 1
 
4.5%
Other values (4) 4
18.2%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 4
16.7%
r 2
 
8.3%
s 2
 
8.3%
t 2
 
8.3%
2
 
8.3%
e 2
 
8.3%
c 2
 
8.3%
T 1
 
4.2%
o 1
 
4.2%
u 1
 
4.2%
Other values (5) 5
20.8%

선박총톤수
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
34 
0
13 

Length

Max length4
Median length4
Mean length3.1702128
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> 34
72.3%
0 13
 
27.7%

Length

2024-05-11T16:13:19.470644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:19.578254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
72.3%
0 13
 
27.7%

선박척수
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
34 
0
13 

Length

Max length4
Median length4
Mean length3.1702128
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> 34
72.3%
0 13
 
27.7%

Length

2024-05-11T16:13:19.695799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:19.810326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
72.3%
0 13
 
27.7%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

무대면적
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
34 
0
13 

Length

Max length4
Median length4
Mean length3.1702128
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> 34
72.3%
0 13
 
27.7%

Length

2024-05-11T16:13:19.928149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:20.059276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
72.3%
0 13
 
27.7%

좌석수
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
34 
0
13 

Length

Max length4
Median length4
Mean length3.1702128
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> 34
72.3%
0 13
 
27.7%

Length

2024-05-11T16:13:20.427562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:20.531390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
72.3%
0 13
 
27.7%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
34 
0
13 

Length

Max length4
Median length4
Mean length3.1702128
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> 34
72.3%
0 13
 
27.7%

Length

2024-05-11T16:13:20.631001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:20.723560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
72.3%
0 13
 
27.7%

시설면적
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing20
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean121.17444
Minimum40.15
Maximum224.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T16:13:20.816996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.15
5-th percentile58.617
Q177.215
median107.52
Q3152.23
95-th percentile214.218
Maximum224.03
Range183.88
Interquartile range (IQR)75.015

Descriptive statistics

Standard deviation57.612014
Coefficient of variation (CV)0.4754469
Kurtosis-0.99633264
Mean121.17444
Median Absolute Deviation (MAD)32.48
Skewness0.61953519
Sum3271.71
Variance3319.1441
MonotonicityNot monotonic
2024-05-11T16:13:20.926532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
224.03 1
 
2.1%
85.49 1
 
2.1%
56.49 1
 
2.1%
63.58 1
 
2.1%
84.51 1
 
2.1%
126.74 1
 
2.1%
84.79 1
 
2.1%
84.14 1
 
2.1%
136.95 1
 
2.1%
76.17 1
 
2.1%
Other values (17) 17
36.2%
(Missing) 20
42.6%
ValueCountFrequency (%)
40.15 1
2.1%
56.49 1
2.1%
63.58 1
2.1%
66.24 1
2.1%
66.31 1
2.1%
72.39 1
2.1%
76.17 1
2.1%
78.26 1
2.1%
84.14 1
2.1%
84.51 1
2.1%
ValueCountFrequency (%)
224.03 1
2.1%
215.31 1
2.1%
211.67 1
2.1%
209.28 1
2.1%
208.14 1
2.1%
205.83 1
2.1%
164.46 1
2.1%
140.0 1
2.1%
136.95 1
2.1%
134.91 1
2.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
34 
0
13 

Length

Max length4
Median length4
Mean length3.1702128
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> 34
72.3%
0 13
 
27.7%

Length

2024-05-11T16:13:21.047979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:21.154053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
72.3%
0 13
 
27.7%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

자본금
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
33 
0
13 
10000000
 
1

Length

Max length8
Median length4
Mean length3.2553191
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
70.2%
0 13
 
27.7%
10000000 1
 
2.1%

Length

2024-05-11T16:13:21.268847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:13:21.376038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
70.2%
0 13
 
27.7%
10000000 1
 
2.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)85.2%
Missing20
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean121.11111
Minimum40
Maximum224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T16:13:21.483482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile58.4
Q177
median108
Q3152
95-th percentile214.1
Maximum224
Range184
Interquartile range (IQR)75

Descriptive statistics

Standard deviation57.631678
Coefficient of variation (CV)0.47585789
Kurtosis-0.99573226
Mean121.11111
Median Absolute Deviation (MAD)32
Skewness0.61722797
Sum3270
Variance3321.4103
MonotonicityNot monotonic
2024-05-11T16:13:21.605288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
85 4
 
8.5%
66 2
 
4.3%
206 1
 
2.1%
56 1
 
2.1%
64 1
 
2.1%
127 1
 
2.1%
84 1
 
2.1%
137 1
 
2.1%
76 1
 
2.1%
135 1
 
2.1%
Other values (13) 13
27.7%
(Missing) 20
42.6%
ValueCountFrequency (%)
40 1
 
2.1%
56 1
 
2.1%
64 1
 
2.1%
66 2
4.3%
72 1
 
2.1%
76 1
 
2.1%
78 1
 
2.1%
84 1
 
2.1%
85 4
8.5%
108 1
 
2.1%
ValueCountFrequency (%)
224 1
2.1%
215 1
2.1%
212 1
2.1%
209 1
2.1%
208 1
2.1%
206 1
2.1%
164 1
2.1%
140 1
2.1%
137 1
2.1%
135 1
2.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03110000CDFI22622120230000072023-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 297-26 301호서울특별시 은평구 통일로78길 12-21, 301호 (불광동)3351연서스테이2024-01-09 17:10:05U2023-11-30 23:01:00.0<NA>193271.353787457282.912412<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000CDFI22622120230000062023-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 199-32 세림센타빌 201호서울특별시 은평구 연서로24길 3-1, 201호 (대조동, 세림센타빌)3386루나 게스트하우스2023-08-16 09:57:04I2022-12-07 23:08:00.0<NA>192817.557759457114.263093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFI22622120230000102023-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 83-5 4층서울특별시 은평구 통일로71길 24-5, 4층 (대조동)3391공간BNB2023-09-21 17:20:51I2022-12-08 22:03:00.0<NA>193472.5163456703.712304<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000CDFI22622120230000092023-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 290-57 2층서울특별시 은평구 통일로72길 5-1, 2층 (불광동)3351비비르 스테이 서울2023-09-21 17:19:07I2022-12-08 22:03:00.0<NA>193284.748531457125.782092<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFI22622120230000132023-11-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 29-53 102호서울특별시 은평구 통일로59길 11, 102호 (녹번동)3382루돌스테이2023-11-23 20:39:28I2022-10-31 22:05:00.0<NA>194005.336386455874.777832<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53110000CDFI22622120230000142023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 66-44 4층서울특별시 은평구 연서로3길 8, 4층 (역촌동)3418로뎀스테이2023-11-24 13:35:57I2022-10-31 22:06:00.0<NA>192405.953355455575.242814<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFI22622120150000032015-06-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>122-882서울특별시 은평구 신사동 34-4 201호서울특별시 은평구 증산로 439-3, 201호 (신사동)<NA>제이에스하우스2023-09-01 17:59:31U2022-12-09 00:03:00.0<NA>192357.480507454801.407691<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73110000CDFI22622120230000052023-06-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 77-9서울특별시 은평구 갈현로5길 16, 301호 (역촌동)3432까사미갈루2024-03-20 18:02:19U2023-12-02 22:03:00.0<NA>191859.560059455538.154151<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83110000CDFI22622120230000082023-09-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 479-18 A동 101호서울특별시 은평구 통일로92가길 7, A동 101호 (불광동)3337큰숲스테이2023-09-11 13:00:54I2022-12-08 23:03:00.0<NA>192988.376727458233.14381<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93110000CDFI22622120230000152023-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 278-1서울특별시 은평구 갈현로33길 18 (갈현동)3320너랑나랑하우스2023-12-13 16:22:26I2022-11-01 23:05:00.0<NA>192388.411821457644.952969<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
373110000CDFI226221201300000320130830<NA>3폐업3폐업20181231<NA><NA><NA><NA><NA>122-940서울특별시 은평구 증산동 202-28번지 삼보아트빌 202호서울특별시 은평구 증산로9길 32-26, 202호 (증산동)<NA>재오하우스2018-12-31U2019-01-02 02:40:00.0<NA>191860.5005453874.4087외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA>다세대주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76
383110000CDFI226221201400000220140421<NA>3폐업3폐업20171101<NA><NA><NA><NA><NA>122-924서울특별시 은평구 응암동 593-21번지서울특별시 은평구 불광천길 294-1, 2층 (응암동)<NA>제니의 집2017-11-02I2018-08-31 23:59:00.0<NA>192313.8093453867.6388외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>136.95<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>137
393110000CDFI226221201400000320140814<NA>3폐업3폐업20230112<NA><NA><NA><NA><NA>122-733서울특별시 은평구 진관동 105 은평뉴타운마고정아파트 324동 505호서울특별시 은평구 진관2로 60, 324동 5층 505호 (진관동, 은평뉴타운마고정아파트)<NA>스마일 홈스테이2023-01-13U2023-01-15 02:40:00.0<NA>193219.8404459010.3359외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84
403110000CDFI226221201400000420140825<NA>3폐업3폐업20180307<NA><NA><NA><NA><NA>122-737서울특별시 은평구 진관동 12번지 은평뉴타운상림마을 712동 205호서울특별시 은평구 진관4로 48-17, 712동 205호 (진관동, 은평뉴타운상림마을)<NA>한진2018-03-08I2018-08-31 23:59:00.0<NA>193552.3821460276.406외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.79<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>85
413110000CDFI226221201400000620141030<NA>3폐업3폐업20170821<NA><NA><NA><NA><NA>122-822서울특별시 은평구 구산동 177-8번지서울특별시 은평구 갈현로15길 11-14 (구산동)<NA>서울 홈스테이2017-08-22I2018-08-31 23:59:00.0<NA>191903.3337456054.5028외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>126.74<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>127
423110000CDFI226221201500000120150305<NA>3폐업3폐업20161206<NA><NA><NA><NA><NA>122-732서울특별시 은평구 진관동 81번지서울특별시 은평구 진관2로 57-7, 245동 6층 603호 (진관동, 우물골)<NA>글로벌 홈2016-12-06I2018-08-31 23:59:00.0<NA>193202.9119459204.6494외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>85
433110000CDFI226221201500000220150603<NA>3폐업3폐업20210428<NA><NA><NA><NA><NA>122-882서울특별시 은평구 신사동 34-4 202호서울특별시 은평구 증산로 439-3, 202호 (신사동)<NA>제이에스하우스 22021-04-29U2021-05-01 02:40:00.0<NA>192357.4805454801.4077외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>63.58<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>64
443110000CDFI226221201600000120160118<NA>3폐업3폐업20170719<NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 25번지 921동 704호서울특별시 은평구 진관3로 77, 921동 704호 (진관동, 은평뉴타운구파발아파트)<NA>밍크하우스2017-07-20I2018-08-31 23:59:00.0<NA><NA><NA>외국인관광 도시민박업<NA>주거지역<NA>아파트지역<NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453110000CDFI226221201600000420161117<NA>3폐업3폐업20170817<NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 495-6번지서울특별시 은평구 연서로21길 34-3, 5층 501호 (갈현동, 토브빌)3334Mji하우스2017-08-18I2018-08-31 23:59:00.0<NA>192352.4987457067.9886외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>56.49<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>56
463110000CDFI226221201900000120191030<NA>3폐업3폐업20191206<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 58-4번지서울특별시 은평구 진흥로11길 1-5 (대조동)3395써니 스테이2019-12-06U2019-12-08 02:40:00.0<NA>193128.1464456092.4163외국인관광 도시민박업<NA>준주거지역2<NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>85.49<NA><NA><NA><NA><NA><NA><NA><NA>10000000<NA><NA><NA>85