Overview

Dataset statistics

Number of variables60
Number of observations72
Missing cells2031
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.8 KiB
Average record size in memory523.8 B

Variable types

Categorical20
Text8
DateTime4
Unsupported22
Numeric6

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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17467/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 is highly imbalanced (64.9%)Imbalance
총층수 is highly imbalanced (64.6%)Imbalance
건물용도명 is highly imbalanced (64.9%)Imbalance
지상층수 is highly imbalanced (61.8%)Imbalance
인허가취소일자 has 72 (100.0%) missing valuesMissing
폐업일자 has 45 (62.5%) missing valuesMissing
휴업시작일자 has 72 (100.0%) missing valuesMissing
휴업종료일자 has 72 (100.0%) missing valuesMissing
재개업일자 has 72 (100.0%) missing valuesMissing
전화번호 has 66 (91.7%) missing valuesMissing
소재지면적 has 72 (100.0%) missing valuesMissing
소재지우편번호 has 72 (100.0%) missing valuesMissing
도로명우편번호 has 3 (4.2%) missing valuesMissing
업태구분명 has 72 (100.0%) missing valuesMissing
문화사업자구분명 has 72 (100.0%) missing valuesMissing
주변환경명 has 70 (97.2%) missing valuesMissing
제작취급품목내용 has 72 (100.0%) missing valuesMissing
보험기관명 has 72 (100.0%) missing valuesMissing
영문상호명 has 70 (97.2%) missing valuesMissing
영문상호주소 has 70 (97.2%) missing valuesMissing
선박제원 has 72 (100.0%) missing valuesMissing
기념품종류 has 72 (100.0%) missing valuesMissing
시설면적 has 33 (45.8%) missing valuesMissing
놀이기구수내역 has 72 (100.0%) missing valuesMissing
방송시설유무 has 72 (100.0%) missing valuesMissing
발전시설유무 has 72 (100.0%) missing valuesMissing
의무실유무 has 72 (100.0%) missing valuesMissing
안내소유무 has 72 (100.0%) missing valuesMissing
기획여행보험시작일자 has 72 (100.0%) missing valuesMissing
기획여행보험종료일자 has 72 (100.0%) missing valuesMissing
자본금 has 57 (79.2%) missing valuesMissing
보험시작일자 has 72 (100.0%) missing valuesMissing
보험종료일자 has 72 (100.0%) missing valuesMissing
부대시설내역 has 72 (100.0%) missing valuesMissing
시설규모 has 33 (45.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 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
시설면적 has 2 (2.8%) zerosZeros
자본금 has 5 (6.9%) zerosZeros
시설규모 has 2 (2.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:57:06.767221
Analysis finished2024-05-11 06:57:07.853524
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
3150000
72 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 72
100.0%

Length

2024-05-11T15:57:07.977268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:08.204270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 72
100.0%

관리번호
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-05-11T15:57:08.558318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1440
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

Unique72 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212024000001
2nd rowCDFI2262212023000011
3rd rowCDFI2262212023000012
4th rowCDFI2262212023000014
5th rowCDFI2262212024000012
ValueCountFrequency (%)
cdfi2262212024000001 1
 
1.4%
cdfi2262212023000011 1
 
1.4%
cdfi2262212014000001 1
 
1.4%
cdfi2262212013000002 1
 
1.4%
cdfi2262212013000001 1
 
1.4%
cdfi2262212012000003 1
 
1.4%
cdfi2262212019000005 1
 
1.4%
cdfi2262212019000002 1
 
1.4%
cdfi2262212014000002 1
 
1.4%
cdfi2262212019000003 1
 
1.4%
Other values (62) 62
86.1%
2024-05-11T15:57:09.287291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 424
29.4%
2 413
28.7%
1 137
 
9.5%
6 85
 
5.9%
C 72
 
5.0%
D 72
 
5.0%
F 72
 
5.0%
I 72
 
5.0%
4 28
 
1.9%
3 28
 
1.9%
Other values (4) 37
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1152
80.0%
Uppercase Letter 288
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
36.8%
2 413
35.9%
1 137
 
11.9%
6 85
 
7.4%
4 28
 
2.4%
3 28
 
2.4%
5 12
 
1.0%
7 9
 
0.8%
9 9
 
0.8%
8 7
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 72
25.0%
D 72
25.0%
F 72
25.0%
I 72
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1152
80.0%
Latin 288
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 424
36.8%
2 413
35.9%
1 137
 
11.9%
6 85
 
7.4%
4 28
 
2.4%
3 28
 
2.4%
5 12
 
1.0%
7 9
 
0.8%
9 9
 
0.8%
8 7
 
0.6%
Latin
ValueCountFrequency (%)
C 72
25.0%
D 72
25.0%
F 72
25.0%
I 72
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 424
29.4%
2 413
28.7%
1 137
 
9.5%
6 85
 
5.9%
C 72
 
5.0%
D 72
 
5.0%
F 72
 
5.0%
I 72
 
5.0%
4 28
 
1.9%
3 28
 
1.9%
Other values (4) 37
 
2.6%

인허가일자
Date

Distinct70
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2012-12-07 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:57:09.642716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:09.954750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
1
45 
3
27 

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 45
62.5%
3 27
37.5%

Length

2024-05-11T15:57:10.208264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:10.474315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
62.5%
3 27
37.5%

영업상태명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
영업/정상
45 
폐업
27 

Length

Max length5
Median length5
Mean length3.875
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 45
62.5%
폐업 27
37.5%

Length

2024-05-11T15:57:10.676116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:10.862586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 45
62.5%
폐업 27
37.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
13
45 
3
27 

Length

Max length2
Median length2
Mean length1.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 45
62.5%
3 27
37.5%

Length

2024-05-11T15:57:11.043197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:11.242398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 45
62.5%
3 27
37.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
영업중
45 
폐업
27 

Length

Max length3
Median length3
Mean length2.625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 45
62.5%
폐업 27
37.5%

Length

2024-05-11T15:57:11.442636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:11.626612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 45
62.5%
폐업 27
37.5%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)92.6%
Missing45
Missing (%)62.5%
Memory size708.0 B
Minimum2016-12-05 00:00:00
Maximum2023-12-07 00:00:00
2024-05-11T15:57:11.794141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:12.000561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

전화번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing66
Missing (%)91.7%
Memory size708.0 B
2024-05-11T15:57:12.266102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.333333
Min length12

Characters and Unicode

Total characters74
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

Unique6 ?
Unique (%)100.0%

Sample

1st row02-2662-0002
2nd row070-4064-6568
3rd row02-3664-1658
4th row02-3664-1078
5th row070-7753-5412
ValueCountFrequency (%)
02-2662-0002 1
16.7%
070-4064-6568 1
16.7%
02-3664-1658 1
16.7%
02-3664-1078 1
16.7%
070-7753-5412 1
16.7%
02-2694-6266 1
16.7%
2024-05-11T15:57:12.812067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 14
18.9%
0 13
17.6%
- 12
16.2%
2 10
13.5%
4 6
8.1%
7 5
 
6.8%
5 4
 
5.4%
8 3
 
4.1%
3 3
 
4.1%
1 3
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62
83.8%
Dash Punctuation 12
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 14
22.6%
0 13
21.0%
2 10
16.1%
4 6
9.7%
7 5
 
8.1%
5 4
 
6.5%
8 3
 
4.8%
3 3
 
4.8%
1 3
 
4.8%
9 1
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 74
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 14
18.9%
0 13
17.6%
- 12
16.2%
2 10
13.5%
4 6
8.1%
7 5
 
6.8%
5 4
 
5.4%
8 3
 
4.1%
3 3
 
4.1%
1 3
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 14
18.9%
0 13
17.6%
- 12
16.2%
2 10
13.5%
4 6
8.1%
7 5
 
6.8%
5 4
 
5.4%
8 3
 
4.1%
3 3
 
4.1%
1 3
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

지번주소
Text

Distinct70
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-05-11T15:57:13.604420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length25.055556
Min length17

Characters and Unicode

Total characters1804
Distinct characters74
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)94.4%

Sample

1st row서울특별시 강서구 내발산동 710-8
2nd row서울특별시 강서구 화곡동 883-7
3rd row서울특별시 강서구 방화동 247-59
4th row서울특별시 강서구 공항동 57-32
5th row서울특별시 강서구 화곡동 1050-26
ValueCountFrequency (%)
서울특별시 72
20.5%
강서구 72
20.5%
화곡동 21
 
6.0%
방화동 15
 
4.3%
공항동 9
 
2.6%
등촌동 9
 
2.6%
가양동 6
 
1.7%
102동 4
 
1.1%
개화동 4
 
1.1%
염창동 3
 
0.9%
Other values (119) 136
38.7%
2024-05-11T15:57:14.271047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
15.5%
서 145
 
8.0%
1 117
 
6.5%
동 88
 
4.9%
강 73
 
4.0%
울 73
 
4.0%
특 72
 
4.0%
별 72
 
4.0%
시 72
 
4.0%
구 72
 
4.0%
Other values (64) 741
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 991
54.9%
Decimal Number 478
26.5%
Space Separator 279
 
15.5%
Dash Punctuation 55
 
3.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 145
14.6%
동 88
 
8.9%
강 73
 
7.4%
울 73
 
7.4%
특 72
 
7.3%
별 72
 
7.3%
시 72
 
7.3%
구 72
 
7.3%
화 42
 
4.2%
지 33
 
3.3%
Other values (51) 249
25.1%
Decimal Number
ValueCountFrequency (%)
1 117
24.5%
0 67
14.0%
4 49
10.3%
2 48
10.0%
7 39
 
8.2%
3 39
 
8.2%
5 36
 
7.5%
6 31
 
6.5%
9 30
 
6.3%
8 22
 
4.6%
Space Separator
ValueCountFrequency (%)
279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 991
54.9%
Common 813
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 145
14.6%
동 88
 
8.9%
강 73
 
7.4%
울 73
 
7.4%
특 72
 
7.3%
별 72
 
7.3%
시 72
 
7.3%
구 72
 
7.3%
화 42
 
4.2%
지 33
 
3.3%
Other values (51) 249
25.1%
Common
ValueCountFrequency (%)
279
34.3%
1 117
14.4%
0 67
 
8.2%
- 55
 
6.8%
4 49
 
6.0%
2 48
 
5.9%
7 39
 
4.8%
3 39
 
4.8%
5 36
 
4.4%
6 31
 
3.8%
Other values (3) 53
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 991
54.9%
ASCII 813
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
34.3%
1 117
14.4%
0 67
 
8.2%
- 55
 
6.8%
4 49
 
6.0%
2 48
 
5.9%
7 39
 
4.8%
3 39
 
4.8%
5 36
 
4.4%
6 31
 
3.8%
Other values (3) 53
 
6.5%
Hangul
ValueCountFrequency (%)
서 145
14.6%
동 88
 
8.9%
강 73
 
7.4%
울 73
 
7.4%
특 72
 
7.3%
별 72
 
7.3%
시 72
 
7.3%
구 72
 
7.3%
화 42
 
4.2%
지 33
 
3.3%
Other values (51) 249
25.1%

도로명주소
Text

Distinct69
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-05-11T15:57:14.746722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45.5
Mean length35.791667
Min length24

Characters and Unicode

Total characters2577
Distinct characters130
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

Unique66 ?
Unique (%)91.7%

Sample

1st row서울특별시 강서구 강서로45라길 55-22, 1층 (내발산동)
2nd row서울특별시 강서구 강서로5라길 85, 201호 (화곡동)
3rd row서울특별시 강서구 초원로16길 6, 2층 (방화동)
4th row서울특별시 강서구 남부순환로9길 24-6, 지층 102호 (공항동)
5th row서울특별시 강서구 강서로33가길 13-13, 1층 (화곡동)
ValueCountFrequency (%)
서울특별시 72
 
15.1%
강서구 72
 
15.1%
화곡동 21
 
4.4%
방화동 15
 
3.1%
등촌동 9
 
1.9%
공항동 9
 
1.9%
2층 7
 
1.5%
가양동 6
 
1.3%
3층 5
 
1.0%
8 5
 
1.0%
Other values (198) 256
53.7%
2024-05-11T15:57:15.426090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
 
15.7%
서 160
 
6.2%
1 106
 
4.1%
동 99
 
3.8%
, 96
 
3.7%
강 88
 
3.4%
울 74
 
2.9%
2 73
 
2.8%
시 72
 
2.8%
특 72
 
2.8%
Other values (120) 1332
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1408
54.6%
Decimal Number 503
 
19.5%
Space Separator 405
 
15.7%
Other Punctuation 96
 
3.7%
Close Punctuation 72
 
2.8%
Open Punctuation 72
 
2.8%
Dash Punctuation 21
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 160
 
11.4%
동 99
 
7.0%
강 88
 
6.2%
울 74
 
5.3%
시 72
 
5.1%
특 72
 
5.1%
구 72
 
5.1%
별 72
 
5.1%
로 70
 
5.0%
화 64
 
4.5%
Other values (105) 565
40.1%
Decimal Number
ValueCountFrequency (%)
1 106
21.1%
2 73
14.5%
3 69
13.7%
0 65
12.9%
5 49
9.7%
4 36
 
7.2%
6 35
 
7.0%
8 29
 
5.8%
7 23
 
4.6%
9 18
 
3.6%
Space Separator
ValueCountFrequency (%)
405
100.0%
Other Punctuation
ValueCountFrequency (%)
, 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1408
54.6%
Common 1169
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 160
 
11.4%
동 99
 
7.0%
강 88
 
6.2%
울 74
 
5.3%
시 72
 
5.1%
특 72
 
5.1%
구 72
 
5.1%
별 72
 
5.1%
로 70
 
5.0%
화 64
 
4.5%
Other values (105) 565
40.1%
Common
ValueCountFrequency (%)
405
34.6%
1 106
 
9.1%
, 96
 
8.2%
2 73
 
6.2%
) 72
 
6.2%
( 72
 
6.2%
3 69
 
5.9%
0 65
 
5.6%
5 49
 
4.2%
4 36
 
3.1%
Other values (5) 126
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1408
54.6%
ASCII 1169
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
34.6%
1 106
 
9.1%
, 96
 
8.2%
2 73
 
6.2%
) 72
 
6.2%
( 72
 
6.2%
3 69
 
5.9%
0 65
 
5.6%
5 49
 
4.2%
4 36
 
3.1%
Other values (5) 126
 
10.8%
Hangul
ValueCountFrequency (%)
서 160
 
11.4%
동 99
 
7.0%
강 88
 
6.2%
울 74
 
5.3%
시 72
 
5.1%
특 72
 
5.1%
구 72
 
5.1%
별 72
 
5.1%
로 70
 
5.0%
화 64
 
4.5%
Other values (105) 565
40.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)71.0%
Missing3
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean7632.7826
Minimum7502
Maximum7809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T15:57:15.642962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7502
5-th percentile7506
Q17564
median7616
Q37696
95-th percentile7777.8
Maximum7809
Range307
Interquartile range (IQR)132

Descriptive statistics

Standard deviation85.594439
Coefficient of variation (CV)0.011214054
Kurtosis-0.8917472
Mean7632.7826
Median Absolute Deviation (MAD)66
Skewness0.32664757
Sum526662
Variance7326.4079
MonotonicityNot monotonic
2024-05-11T15:57:15.916027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
7605 4
 
5.6%
7696 3
 
4.2%
7618 3
 
4.2%
7524 3
 
4.2%
7616 3
 
4.2%
7614 2
 
2.8%
7609 2
 
2.8%
7776 2
 
2.8%
7522 2
 
2.8%
7532 2
 
2.8%
Other values (39) 43
59.7%
(Missing) 3
 
4.2%
ValueCountFrequency (%)
7502 2
2.8%
7504 2
2.8%
7509 1
 
1.4%
7522 2
2.8%
7524 3
4.2%
7532 2
2.8%
7550 1
 
1.4%
7559 1
 
1.4%
7560 1
 
1.4%
7562 1
 
1.4%
ValueCountFrequency (%)
7809 1
1.4%
7786 1
1.4%
7782 1
1.4%
7779 1
1.4%
7776 2
2.8%
7770 1
1.4%
7768 1
1.4%
7763 1
1.4%
7750 1
1.4%
7742 1
1.4%

사업장명
Text

Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-05-11T15:57:16.376527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length9.875
Min length2

Characters and Unicode

Total characters711
Distinct characters170
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)97.2%

Sample

1st rowCornerstay in Ujangsan
2nd row썸띵죠죠
3rd row수스테이(SUE STAY)
4th row마실(Masil)
5th row스테이 화곡
ValueCountFrequency (%)
house 9
 
6.9%
스테이 8
 
6.1%
stay 5
 
3.8%
b&b 3
 
2.3%
게스트하우스 3
 
2.3%
다산하우스 2
 
1.5%
망고스틴 2
 
1.5%
in 2
 
1.5%
하우스 2
 
1.5%
공간 2
 
1.5%
Other values (91) 93
71.0%
2024-05-11T15:57:17.017311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
8.3%
스 41
 
5.8%
e 26
 
3.7%
이 22
 
3.1%
o 22
 
3.1%
하 20
 
2.8%
우 20
 
2.8%
) 18
 
2.5%
( 18
 
2.5%
s 17
 
2.4%
Other values (160) 448
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
42.6%
Lowercase Letter 171
24.1%
Uppercase Letter 129
18.1%
Space Separator 59
 
8.3%
Close Punctuation 18
 
2.5%
Open Punctuation 18
 
2.5%
Other Punctuation 7
 
1.0%
Decimal Number 5
 
0.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 41
 
13.5%
이 22
 
7.3%
하 20
 
6.6%
우 20
 
6.6%
테 13
 
4.3%
트 8
 
2.6%
리 6
 
2.0%
드 5
 
1.7%
호 4
 
1.3%
블 4
 
1.3%
Other values (106) 160
52.8%
Lowercase Letter
ValueCountFrequency (%)
e 26
15.2%
o 22
12.9%
s 17
9.9%
u 14
8.2%
a 13
7.6%
l 11
 
6.4%
n 11
 
6.4%
i 9
 
5.3%
r 9
 
5.3%
t 7
 
4.1%
Other values (12) 32
18.7%
Uppercase Letter
ValueCountFrequency (%)
A 16
12.4%
S 16
12.4%
H 12
 
9.3%
B 12
 
9.3%
E 9
 
7.0%
T 7
 
5.4%
Y 7
 
5.4%
U 7
 
5.4%
L 5
 
3.9%
R 5
 
3.9%
Other values (11) 33
25.6%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
3 1
20.0%
0 1
20.0%
4 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 3
42.9%
' 2
28.6%
. 2
28.6%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
42.3%
Latin 300
42.2%
Common 108
 
15.2%
Han 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 41
 
13.6%
이 22
 
7.3%
하 20
 
6.6%
우 20
 
6.6%
테 13
 
4.3%
트 8
 
2.7%
리 6
 
2.0%
드 5
 
1.7%
호 4
 
1.3%
블 4
 
1.3%
Other values (104) 158
52.5%
Latin
ValueCountFrequency (%)
e 26
 
8.7%
o 22
 
7.3%
s 17
 
5.7%
A 16
 
5.3%
S 16
 
5.3%
u 14
 
4.7%
a 13
 
4.3%
H 12
 
4.0%
B 12
 
4.0%
l 11
 
3.7%
Other values (33) 141
47.0%
Common
ValueCountFrequency (%)
59
54.6%
) 18
 
16.7%
( 18
 
16.7%
& 3
 
2.8%
' 2
 
1.9%
2 2
 
1.9%
. 2
 
1.9%
- 1
 
0.9%
3 1
 
0.9%
0 1
 
0.9%
Han
ValueCountFrequency (%)
家 1
50.0%
秀 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
57.4%
Hangul 301
42.3%
CJK 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
 
14.5%
e 26
 
6.4%
o 22
 
5.4%
) 18
 
4.4%
( 18
 
4.4%
s 17
 
4.2%
A 16
 
3.9%
S 16
 
3.9%
u 14
 
3.4%
a 13
 
3.2%
Other values (44) 189
46.3%
Hangul
ValueCountFrequency (%)
스 41
 
13.6%
이 22
 
7.3%
하 20
 
6.6%
우 20
 
6.6%
테 13
 
4.3%
트 8
 
2.7%
리 6
 
2.0%
드 5
 
1.7%
호 4
 
1.3%
블 4
 
1.3%
Other values (104) 158
52.5%
CJK
ValueCountFrequency (%)
家 1
50.0%
秀 1
50.0%

최종수정일자
Date

Distinct65
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2016-12-06 00:00:00
Maximum2024-05-09 17:01:58
2024-05-11T15:57:17.244181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:17.474579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
I
45 
U
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 45
62.5%
U 27
37.5%

Length

2024-05-11T15:57:17.722284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:17.967689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 45
62.5%
u 27
37.5%

데이터갱신일자
Date

Distinct53
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2018-08-31 23:59:00
Maximum2023-12-04 23:01:00
2024-05-11T15:57:18.189255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:57:18.442111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

좌표정보(X)
Real number (ℝ)

Distinct66
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185266.6
Minimum182314.39
Maximum188629.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T15:57:18.675418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182314.39
5-th percentile182824.76
Q1183485.8
median185703.25
Q3186337.28
95-th percentile187933.58
Maximum188629.62
Range6315.2262
Interquartile range (IQR)2851.4768

Descriptive statistics

Standard deviation1804.4985
Coefficient of variation (CV)0.0097400098
Kurtosis-1.3000144
Mean185266.6
Median Absolute Deviation (MAD)1948.399
Skewness0.052564439
Sum13339195
Variance3256214.7
MonotonicityNot monotonic
2024-05-11T15:57:18.905860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186055.8962 2
 
2.8%
183674.658974959 2
 
2.8%
187872.565 2
 
2.8%
186092.3564 2
 
2.8%
183259.9587 2
 
2.8%
183406.0851 2
 
2.8%
183391.110372549 1
 
1.4%
186012.242635715 1
 
1.4%
187312.068537953 1
 
1.4%
182314.395 1
 
1.4%
Other values (56) 56
77.8%
ValueCountFrequency (%)
182314.395 1
1.4%
182376.7801 1
1.4%
182474.753251689 1
1.4%
182474.7533 1
1.4%
183111.1291 1
1.4%
183134.5625 1
1.4%
183137.3941 1
1.4%
183145.1815 1
1.4%
183259.9587 2
2.8%
183271.987377543 1
1.4%
ValueCountFrequency (%)
188629.6212 1
1.4%
188320.169397724 1
1.4%
188041.009 1
1.4%
188008.164574593 1
1.4%
187872.565 2
2.8%
187812.2653 1
1.4%
187750.166388257 1
1.4%
187675.5611 1
1.4%
187627.7309 1
1.4%
187591.5178 1
1.4%

좌표정보(Y)
Real number (ℝ)

Distinct66
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450486.26
Minimum447347.78
Maximum453850.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T15:57:19.142993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447347.78
5-th percentile447554.8
Q1449382.81
median450599.52
Q3451747.82
95-th percentile453019.9
Maximum453850.31
Range6502.5349
Interquartile range (IQR)2365.01

Descriptive statistics

Standard deviation1613.5887
Coefficient of variation (CV)0.0035818821
Kurtosis-0.55064011
Mean450486.26
Median Absolute Deviation (MAD)1192.3215
Skewness-0.19373163
Sum32435011
Variance2603668.4
MonotonicityNot monotonic
2024-05-11T15:57:19.334182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449265.9669 2
 
2.8%
451791.839256721 2
 
2.8%
450725.1868 2
 
2.8%
452221.0086 2
 
2.8%
451658.5505 2
 
2.8%
451070.3401 2
 
2.8%
450838.605827831 1
 
1.4%
449239.615429773 1
 
1.4%
450370.216126899 1
 
1.4%
453060.3384 1
 
1.4%
Other values (56) 56
77.8%
ValueCountFrequency (%)
447347.779817416 1
1.4%
447487.3118 1
1.4%
447527.398068835 1
1.4%
447550.440958054 1
1.4%
447558.3739 1
1.4%
447710.465091631 1
1.4%
447793.7884 1
1.4%
447950.8256 1
1.4%
448186.095769489 1
1.4%
448212.5113 1
1.4%
ValueCountFrequency (%)
453850.314726245 1
1.4%
453850.3147 1
1.4%
453178.3057 1
1.4%
453060.3384 1
1.4%
452986.8223 1
1.4%
452494.5167 1
1.4%
452221.0086 2
2.8%
452194.28600491 1
1.4%
452154.4153 1
1.4%
452034.2757 1
1.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
외국인관광 도시민박업
47 
<NA>
25 

Length

Max length11
Median length11
Mean length8.5694444
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 47
65.3%
<NA> 25
34.7%

Length

2024-05-11T15:57:19.544210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:19.695831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 47
39.5%
도시민박업 47
39.5%
na 25
21.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
65 
주거지역
 
4
일반주거지역
 
3

Length

Max length6
Median length4
Mean length4.0833333
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> 65
90.3%
주거지역 4
 
5.6%
일반주거지역 3
 
4.2%

Length

2024-05-11T15:57:19.884751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:20.081245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
90.3%
주거지역 4
 
5.6%
일반주거지역 3
 
4.2%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
60 
0
8 
3
 
1
1
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique4 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
83.3%
0 8
 
11.1%
3 1
 
1.4%
1 1
 
1.4%
5 1
 
1.4%
2 1
 
1.4%

Length

2024-05-11T15:57:20.296640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:20.503381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
83.3%
0 8
 
11.1%
3 1
 
1.4%
1 1
 
1.4%
5 1
 
1.4%
2 1
 
1.4%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing70
Missing (%)97.2%
Memory size708.0 B
2024-05-11T15:57:20.675309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
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

Unique0 ?
Unique (%)0.0%

Sample

1st row아파트지역
2nd row아파트지역
ValueCountFrequency (%)
아파트지역 2
100.0%
2024-05-11T15:57:20.992851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 2
20.0%
파 2
20.0%
트 2
20.0%
지 2
20.0%
역 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2
20.0%
파 2
20.0%
트 2
20.0%
지 2
20.0%
역 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2
20.0%
파 2
20.0%
트 2
20.0%
지 2
20.0%
역 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 2
20.0%
파 2
20.0%
트 2
20.0%
지 2
20.0%
역 2
20.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
65 
아파트
 
4
단독주택
 
3

Length

Max length4
Median length4
Mean length3.9444444
Min length3

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> 65
90.3%
아파트 4
 
5.6%
단독주택 3
 
4.2%

Length

2024-05-11T15:57:21.213252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:21.383184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
90.3%
아파트 4
 
5.6%
단독주택 3
 
4.2%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
60 
0
8 
2
 
2
4
 
1
8
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
83.3%
0 8
 
11.1%
2 2
 
2.8%
4 1
 
1.4%
8 1
 
1.4%

Length

2024-05-11T15:57:21.541863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:21.705953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
83.3%
0 8
 
11.1%
2 2
 
2.8%
4 1
 
1.4%
8 1
 
1.4%

지하층수
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
64 
0
8 

Length

Max length4
Median length4
Mean length3.6666667
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> 64
88.9%
0 8
 
11.1%

Length

2024-05-11T15:57:21.895473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:22.065969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
88.9%
0 8
 
11.1%

객실수
Categorical

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
41 
2
13 
1
8 
0
6 
3
 
3

Length

Max length4
Median length4
Mean length2.7083333
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
56.9%
2 13
 
18.1%
1 8
 
11.1%
0 6
 
8.3%
3 3
 
4.2%
4 1
 
1.4%

Length

2024-05-11T15:57:22.233989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:22.428556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
56.9%
2 13
 
18.1%
1 8
 
11.1%
0 6
 
8.3%
3 3
 
4.2%
4 1
 
1.4%

건축연면적
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
64 
0
8 

Length

Max length4
Median length4
Mean length3.6666667
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> 64
88.9%
0 8
 
11.1%

Length

2024-05-11T15:57:22.647341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:22.907743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
88.9%
0 8
 
11.1%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing70
Missing (%)97.2%
Memory size708.0 B
2024-05-11T15:57:23.087091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters24
Distinct characters18
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowSTAY HARI
2nd rowBoA travel home
ValueCountFrequency (%)
stay 1
20.0%
hari 1
20.0%
boa 1
20.0%
travel 1
20.0%
home 1
20.0%
2024-05-11T15:57:23.452111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 3
 
12.5%
3
 
12.5%
o 2
 
8.3%
e 2
 
8.3%
t 1
 
4.2%
h 1
 
4.2%
l 1
 
4.2%
v 1
 
4.2%
a 1
 
4.2%
r 1
 
4.2%
Other values (8) 8
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11
45.8%
Uppercase Letter 10
41.7%
Space Separator 3
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2
18.2%
e 2
18.2%
t 1
9.1%
h 1
9.1%
l 1
9.1%
v 1
9.1%
a 1
9.1%
r 1
9.1%
m 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
30.0%
S 1
 
10.0%
T 1
 
10.0%
B 1
 
10.0%
I 1
 
10.0%
R 1
 
10.0%
H 1
 
10.0%
Y 1
 
10.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21
87.5%
Common 3
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 3
14.3%
o 2
 
9.5%
e 2
 
9.5%
t 1
 
4.8%
h 1
 
4.8%
l 1
 
4.8%
v 1
 
4.8%
a 1
 
4.8%
r 1
 
4.8%
S 1
 
4.8%
Other values (7) 7
33.3%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 3
 
12.5%
3
 
12.5%
o 2
 
8.3%
e 2
 
8.3%
t 1
 
4.2%
h 1
 
4.2%
l 1
 
4.2%
v 1
 
4.2%
a 1
 
4.2%
r 1
 
4.2%
Other values (8) 8
33.3%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing70
Missing (%)97.2%
Memory size708.0 B
2024-05-11T15:57:23.671649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33.5
Mean length33.5
Min length30

Characters and Unicode

Total characters67
Distinct characters22
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowUrban Tourist Home for Foreigner Only
2nd rowHome Stay for Foreign Tourists
ValueCountFrequency (%)
home 2
18.2%
for 2
18.2%
urban 1
9.1%
tourist 1
9.1%
foreigner 1
9.1%
only 1
9.1%
stay 1
9.1%
foreign 1
9.1%
tourists 1
9.1%
2024-05-11T15:57:24.111237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
13.4%
o 8
11.9%
r 8
11.9%
e 5
 
7.5%
i 4
 
6.0%
n 4
 
6.0%
s 3
 
4.5%
t 3
 
4.5%
u 2
 
3.0%
T 2
 
3.0%
Other values (12) 19
28.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 49
73.1%
Space Separator 9
 
13.4%
Uppercase Letter 9
 
13.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 8
16.3%
r 8
16.3%
e 5
10.2%
i 4
8.2%
n 4
8.2%
s 3
 
6.1%
t 3
 
6.1%
u 2
 
4.1%
a 2
 
4.1%
m 2
 
4.1%
Other values (5) 8
16.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
H 2
22.2%
F 2
22.2%
U 1
11.1%
O 1
11.1%
S 1
11.1%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58
86.6%
Common 9
 
13.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 8
13.8%
r 8
13.8%
e 5
 
8.6%
i 4
 
6.9%
n 4
 
6.9%
s 3
 
5.2%
t 3
 
5.2%
u 2
 
3.4%
T 2
 
3.4%
a 2
 
3.4%
Other values (11) 17
29.3%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
13.4%
o 8
11.9%
r 8
11.9%
e 5
 
7.5%
i 4
 
6.0%
n 4
 
6.0%
s 3
 
4.5%
t 3
 
4.5%
u 2
 
3.0%
T 2
 
3.0%
Other values (12) 19
28.4%

선박총톤수
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
64 
0
8 

Length

Max length4
Median length4
Mean length3.6666667
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> 64
88.9%
0 8
 
11.1%

Length

2024-05-11T15:57:24.394739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:24.574753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
88.9%
0 8
 
11.1%

선박척수
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
64 
0
8 

Length

Max length4
Median length4
Mean length3.6666667
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> 64
88.9%
0 8
 
11.1%

Length

2024-05-11T15:57:24.751901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:24.913782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
88.9%
0 8
 
11.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

무대면적
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
64 
0
8 

Length

Max length4
Median length4
Mean length3.6666667
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> 64
88.9%
0 8
 
11.1%

Length

2024-05-11T15:57:25.138440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:25.323741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
88.9%
0 8
 
11.1%

좌석수
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
64 
0
8 

Length

Max length4
Median length4
Mean length3.6666667
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> 64
88.9%
0 8
 
11.1%

Length

2024-05-11T15:57:25.496244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:25.652434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
88.9%
0 8
 
11.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
64 
0
8 

Length

Max length4
Median length4
Mean length3.6666667
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> 64
88.9%
0 8
 
11.1%

Length

2024-05-11T15:57:25.819100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:26.009327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
88.9%
0 8
 
11.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)94.9%
Missing33
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean48.957436
Minimum0
Maximum134
Zeros2
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T15:57:26.198261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.78
Q117.1
median44.2
Q374.04
95-th percentile128.795
Maximum134
Range134
Interquartile range (IQR)56.94

Descriptive statistics

Standard deviation38.361421
Coefficient of variation (CV)0.7835668
Kurtosis-0.41297251
Mean48.957436
Median Absolute Deviation (MAD)28
Skewness0.71238739
Sum1909.34
Variance1471.5986
MonotonicityNot monotonic
2024-05-11T15:57:26.722588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
23.0 2
 
2.8%
0.0 2
 
2.8%
84.97 1
 
1.4%
134.0 1
 
1.4%
7.02 1
 
1.4%
11.0 1
 
1.4%
44.69 1
 
1.4%
59.91 1
 
1.4%
64.05 1
 
1.4%
102.76 1
 
1.4%
Other values (27) 27
37.5%
(Missing) 33
45.8%
ValueCountFrequency (%)
0.0 2
2.8%
4.2 1
1.4%
7.02 1
1.4%
8.6 1
1.4%
10.4 1
1.4%
11.0 1
1.4%
12.6 1
1.4%
14.6 1
1.4%
16.2 1
1.4%
18.0 1
1.4%
ValueCountFrequency (%)
134.0 1
1.4%
132.08 1
1.4%
128.43 1
1.4%
102.76 1
1.4%
99.48 1
1.4%
93.58 1
1.4%
89.12 1
1.4%
84.99 1
1.4%
84.97 1
1.4%
82.43 1
1.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
<NA>
64 
0
8 

Length

Max length4
Median length4
Mean length3.6666667
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> 64
88.9%
0 8
 
11.1%

Length

2024-05-11T15:57:26.948793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:27.119804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
88.9%
0 8
 
11.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)60.0%
Missing57
Missing (%)79.2%
Infinite0
Infinite (%)0.0%
Mean57000000
Minimum0
Maximum3.2 × 108
Zeros5
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T15:57:27.267854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10000000
Q320500000
95-th percentile2.71 × 108
Maximum3.2 × 108
Range3.2 × 108
Interquartile range (IQR)20500000

Descriptive statistics

Standard deviation1.0604985 × 108
Coefficient of variation (CV)1.8605237
Kurtosis2.029238
Mean57000000
Median Absolute Deviation (MAD)10000000
Skewness1.8459223
Sum8.55 × 108
Variance1.1246571 × 1016
MonotonicityNot monotonic
2024-05-11T15:57:27.523507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 5
 
6.9%
10000000 2
 
2.8%
5000000 2
 
2.8%
21000000 1
 
1.4%
200000000 1
 
1.4%
20000000 1
 
1.4%
250000000 1
 
1.4%
14000000 1
 
1.4%
320000000 1
 
1.4%
(Missing) 57
79.2%
ValueCountFrequency (%)
0 5
6.9%
5000000 2
 
2.8%
10000000 2
 
2.8%
14000000 1
 
1.4%
20000000 1
 
1.4%
21000000 1
 
1.4%
200000000 1
 
1.4%
250000000 1
 
1.4%
320000000 1
 
1.4%
ValueCountFrequency (%)
320000000 1
 
1.4%
250000000 1
 
1.4%
200000000 1
 
1.4%
21000000 1
 
1.4%
20000000 1
 
1.4%
14000000 1
 
1.4%
10000000 2
 
2.8%
5000000 2
 
2.8%
0 5
6.9%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing72
Missing (%)100.0%
Memory size780.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)82.1%
Missing33
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean49
Minimum0
Maximum134
Zeros2
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-11T15:57:27.753829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.6
Q117
median44
Q374
95-th percentile128.4
Maximum134
Range134
Interquartile range (IQR)57

Descriptive statistics

Standard deviation38.315862
Coefficient of variation (CV)0.78195636
Kurtosis-0.41954894
Mean49
Median Absolute Deviation (MAD)28
Skewness0.70794469
Sum1911
Variance1468.1053
MonotonicityNot monotonic
2024-05-11T15:57:27.988392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
34 3
 
4.2%
60 2
 
2.8%
23 2
 
2.8%
66 2
 
2.8%
0 2
 
2.8%
85 2
 
2.8%
132 1
 
1.4%
10 1
 
1.4%
94 1
 
1.4%
89 1
 
1.4%
Other values (22) 22
30.6%
(Missing) 33
45.8%
ValueCountFrequency (%)
0 2
2.8%
4 1
1.4%
7 1
1.4%
9 1
1.4%
10 1
1.4%
11 1
1.4%
13 1
1.4%
15 1
1.4%
16 1
1.4%
18 1
1.4%
ValueCountFrequency (%)
134 1
1.4%
132 1
1.4%
128 1
1.4%
103 1
1.4%
99 1
1.4%
94 1
1.4%
89 1
1.4%
85 2
2.8%
82 1
1.4%
66 2
2.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03150000CDFI22622120240000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 710-8서울특별시 강서구 강서로45라길 55-22, 1층 (내발산동)7638Cornerstay in Ujangsan2024-01-09 10:26:54I2023-11-30 23:01:00.0<NA>185193.922395449815.354072<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>
13150000CDFI22622120230000112023-11-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 883-7서울특별시 강서구 강서로5라길 85, 201호 (화곡동)7782썸띵죠죠2023-11-23 11:31:14I2022-10-31 22:05:00.0<NA>186950.055847447527.398069<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>
23150000CDFI22622120230000122023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 247-59서울특별시 강서구 초원로16길 6, 2층 (방화동)7616수스테이(SUE STAY)2023-11-24 09:46:06I2022-10-31 22:06:00.0<NA>183590.747898451673.111369<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>
33150000CDFI22622120230000142023-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항동 57-32서울특별시 강서구 남부순환로9길 24-6, 지층 102호 (공항동)7627마실(Masil)2024-02-16 10:44:33U2023-12-01 23:08:00.0<NA>183271.987378450539.684167<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>
43150000CDFI22622120240000122024-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1050-26서울특별시 강서구 강서로33가길 13-13, 1층 (화곡동)7713스테이 화곡2024-04-19 09:06:46I2023-12-03 22:01:00.0<NA>185654.053369448887.267892<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>
53150000CDFI22622120230000072023-10-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 247-177서울특별시 강서구 방화대로31길 8, 402호 (방화동)7605스테이 림(STAY LYM)2023-10-06 13:45:52I2022-10-31 00:08:00.0<NA>183674.658975451791.839257<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>
63150000CDFI22622120230000082023-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항동 1352-7서울특별시 강서구 방화대로6다길 6-15, 301호 (공항동)7645공항 STAY2023-10-17 13:16:30I2022-10-30 23:09:00.0<NA>183797.448592450364.06108<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>
73150000CDFI22622120230000132023-11-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 670-11서울특별시 강서구 우장산로2길 7, 2층 (내발산동)7681올래마곡2023-11-30 10:33:02I2022-11-02 00:02:00.0<NA>185599.834384450240.827226<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>
83150000CDFI226221201900000120190122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 869번지 신안2단지아파트 201동 601호서울특별시 강서구 양천로14길 61, 210동 601호 (방화동, 신안2단지아파트)7609스카이빌하우스2019-11-06U2019-11-08 02:40:00.0<NA>183111.1291452012.0597외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93150000CDFI22622120230000092023-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 651-10서울특별시 강서구 공항대로38길 73, 3층 (내발산동)7646스테이 멜로우2023-10-27 16:39:39I2022-10-30 22:09:00.0<NA>185944.459385450561.147727<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
623150000CDFI226221201600000620160111<NA>3폐업3폐업20201217<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 111-110 3호서울특별시 강서구 화곡로35길 23-5, 3호 (화곡동, 망고스틴)7696망고스틴 3호2020-12-18U2020-12-20 02:40:00.0<NA>186055.8962449265.9669외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>102.76<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>103
633150000CDFI226221201600000720160120<NA>3폐업3폐업20181031<NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 1459번지 109동 304호서울특별시 강서구 강서로 532, 109동 304호 (가양동, 동신아파트,대아아파트)7524Pineville Room A.B.C2018-10-31U2018-11-02 02:36:00.0<NA>186092.3564452221.0086외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>134.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>134
643150000CDFI226221201700000120170317<NA>3폐업3폐업20180829<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 924-10번지 스카이아파트 804호서울특별시 강서구 곰달래로18길 15-3, 804호 (화곡동, 스카이아파트)7776Sunny House2018-08-31I2018-08-31 23:59:00.0<NA>185939.0563447487.3118외국인관광 도시민박업<NA>주거지역<NA>아파트지역<NA><NA>아파트8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33.52<NA><NA><NA><NA><NA><NA><NA><NA>5000000<NA><NA><NA>34
653150000CDFI226221201700000320170724<NA>3폐업3폐업20190607<NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항동 34-37번지서울특별시 강서구 공항대로8길 8, 2층 (공항동)<NA>다산하우스2019-05-22U2019-05-24 02:40:00.0<NA>183333.1577450949.02외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>55.54<NA><NA><NA><NA><NA><NA><NA><NA>14000000<NA><NA><NA>56
663150000CDFI226221201700000520170824<NA>3폐업3폐업20210118<NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 523-5 501호서울특별시 강서구 등촌로39나길 5, 501호 (등촌동, 동원베르사체)7669Nice Neighbor Guesthouse2021-01-18U2021-01-20 02:40:00.0<NA>187627.7309449334.8221외국인관광 도시민박업<NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44.2<NA><NA><NA><NA><NA><NA><NA><NA>320000000<NA><NA><NA>44
673150000CDFI226221201800000120180306<NA>3폐업3폐업20201130<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1018-10서울특별시 강서구 화곡로13길 90-16 (화곡동)7709공간 플러스2021-02-03U2021-02-05 02:40:00.0<NA>185244.2058449081.3464외국인관광 도시민박업<NA>주거지역2<NA><NA><NA>단독주택2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>89.12<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>89
683150000CDFI226221201800000220180426<NA>3폐업3폐업20190325<NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 748번지 마곡13단지힐스테이트마스터 1322동 1603호서울특별시 강서구 마곡중앙1로 71, 1322동 1603호 (마곡동, 마곡13단지힐스테이트마스터)7809그린월드 게스트하우스2019-03-26U2019-03-28 02:40:00.0<NA>183882.4256450626.281외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>59.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60
693150000CDFI226221201800000320180724<NA>3폐업3폐업20200123<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1165번지 강서힐스테이트 121동 401호서울특별시 강서구 우현로 67, 121동 401호 (화곡동, 강서힐스테이트)7694Arnes House2020-01-25U2020-01-28 02:40:00.0<NA>185794.1088449398.8028외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>85
703150000CDFI226221201600000520160111<NA>3폐업3폐업20201217<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 111-110 2호서울특별시 강서구 화곡로35길 23-5, 2호 (화곡동, 망고스틴)7696망고스틴 2호2020-12-18U2020-12-20 02:40:00.0<NA>186055.8962449265.9669외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>93.58<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>94
713150000CDFI226221201200000120121207<NA>3폐업3폐업20211206<NA><NA><NA>02-2694-6266<NA><NA>서울특별시 강서구 화곡동 1012-2서울특별시 강서구 강서로45다길 25 (화곡동)7705로뎀하우스2021-12-06U2021-12-08 02:40:00.0<NA>185353.1037449408.5993외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>23.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>23