Overview

Dataset statistics

Number of variables60
Number of observations27
Missing cells752
Missing cells (%)46.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory523.9 B

Variable types

Categorical21
Text9
DateTime6
Unsupported19
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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17471/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
주변환경명 has constant value ""Constant
영문상호주소 has constant value ""Constant
인허가취소일자 has 27 (100.0%) missing valuesMissing
폐업일자 has 18 (66.7%) missing valuesMissing
휴업시작일자 has 26 (96.3%) missing valuesMissing
휴업종료일자 has 26 (96.3%) missing valuesMissing
재개업일자 has 27 (100.0%) missing valuesMissing
전화번호 has 23 (85.2%) missing valuesMissing
소재지면적 has 27 (100.0%) missing valuesMissing
소재지우편번호 has 22 (81.5%) missing valuesMissing
도로명우편번호 has 9 (33.3%) missing valuesMissing
업태구분명 has 27 (100.0%) missing valuesMissing
문화사업자구분명 has 27 (100.0%) missing valuesMissing
주변환경명 has 26 (96.3%) missing valuesMissing
제작취급품목내용 has 27 (100.0%) missing valuesMissing
보험기관명 has 27 (100.0%) missing valuesMissing
영문상호명 has 25 (92.6%) missing valuesMissing
영문상호주소 has 26 (96.3%) missing valuesMissing
선박제원 has 27 (100.0%) missing valuesMissing
기념품종류 has 27 (100.0%) missing valuesMissing
시설면적 has 19 (70.4%) missing valuesMissing
놀이기구수내역 has 27 (100.0%) missing valuesMissing
방송시설유무 has 27 (100.0%) missing valuesMissing
발전시설유무 has 27 (100.0%) missing valuesMissing
의무실유무 has 27 (100.0%) missing valuesMissing
안내소유무 has 27 (100.0%) missing valuesMissing
기획여행보험시작일자 has 27 (100.0%) missing valuesMissing
기획여행보험종료일자 has 27 (100.0%) missing valuesMissing
보험시작일자 has 27 (100.0%) missing valuesMissing
보험종료일자 has 27 (100.0%) missing valuesMissing
부대시설내역 has 27 (100.0%) missing valuesMissing
시설규모 has 19 (70.4%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
시설면적 has 2 (7.4%) zerosZeros
시설규모 has 2 (7.4%) zerosZeros

Reproduction

Analysis started2024-05-18 03:21:23.317405
Analysis finished2024-05-18 03:21:24.640560
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
3190000
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 27
100.0%

Length

2024-05-18T12:21:24.816900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:25.105315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 27
100.0%

관리번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-18T12:21:25.475373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters540
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

Unique27 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212013000001
2nd rowCDFI2262212014000001
3rd rowCDFI2262212014000002
4th rowCDFI2262212015000001
5th rowCDFI2262212015000002
ValueCountFrequency (%)
cdfi2262212013000001 1
 
3.7%
cdfi2262212022000002 1
 
3.7%
cdfi2262212024000007 1
 
3.7%
cdfi2262212024000006 1
 
3.7%
cdfi2262212024000005 1
 
3.7%
cdfi2262212024000004 1
 
3.7%
cdfi2262212024000003 1
 
3.7%
cdfi2262212024000002 1
 
3.7%
cdfi2262212024000001 1
 
3.7%
cdfi2262212023000003 1
 
3.7%
Other values (17) 17
63.0%
2024-05-18T12:21:26.306731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 162
30.0%
2 159
29.4%
1 50
 
9.3%
6 33
 
6.1%
C 27
 
5.0%
D 27
 
5.0%
F 27
 
5.0%
I 27
 
5.0%
4 12
 
2.2%
3 8
 
1.5%
Other values (4) 8
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
80.0%
Uppercase Letter 108
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 162
37.5%
2 159
36.8%
1 50
 
11.6%
6 33
 
7.6%
4 12
 
2.8%
3 8
 
1.9%
5 4
 
0.9%
7 2
 
0.5%
9 1
 
0.2%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 27
25.0%
D 27
25.0%
F 27
25.0%
I 27
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
80.0%
Latin 108
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 162
37.5%
2 159
36.8%
1 50
 
11.6%
6 33
 
7.6%
4 12
 
2.8%
3 8
 
1.9%
5 4
 
0.9%
7 2
 
0.5%
9 1
 
0.2%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
C 27
25.0%
D 27
25.0%
F 27
25.0%
I 27
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 162
30.0%
2 159
29.4%
1 50
 
9.3%
6 33
 
6.1%
C 27
 
5.0%
D 27
 
5.0%
F 27
 
5.0%
I 27
 
5.0%
4 12
 
2.2%
3 8
 
1.5%
Other values (4) 8
 
1.5%

인허가일자
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2013-10-10 00:00:00
Maximum2024-05-16 00:00:00
2024-05-18T12:21:26.668802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:21:27.040355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
17 
3
9 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
63.0%
3 9
33.3%
2 1
 
3.7%

Length

2024-05-18T12:21:27.399600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:27.764387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
63.0%
3 9
33.3%
2 1
 
3.7%

영업상태명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
영업/정상
17 
폐업
9 
휴업
 
1

Length

Max length5
Median length5
Mean length3.8888889
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 17
63.0%
폐업 9
33.3%
휴업 1
 
3.7%

Length

2024-05-18T12:21:28.145591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:28.478586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
63.0%
폐업 9
33.3%
휴업 1
 
3.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
13
17 
3
9 
2
 
1

Length

Max length2
Median length2
Mean length1.6296296
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 17
63.0%
3 9
33.3%
2 1
 
3.7%

Length

2024-05-18T12:21:28.844320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:29.179025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 17
63.0%
3 9
33.3%
2 1
 
3.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
영업중
17 
폐업
9 
휴업
 
1

Length

Max length3
Median length3
Mean length2.6296296
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 17
63.0%
폐업 9
33.3%
휴업 1
 
3.7%

Length

2024-05-18T12:21:29.574167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:29.907463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 17
63.0%
폐업 9
33.3%
휴업 1
 
3.7%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing18
Missing (%)66.7%
Memory size348.0 B
Minimum2017-01-13 00:00:00
Maximum2023-12-28 00:00:00
2024-05-18T12:21:30.300076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:21:30.669774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing26
Missing (%)96.3%
Memory size348.0 B
Minimum2023-12-14 00:00:00
Maximum2023-12-14 00:00:00
2024-05-18T12:21:30.974879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:21:31.282311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing26
Missing (%)96.3%
Memory size348.0 B
Minimum2027-12-14 00:00:00
Maximum2027-12-14 00:00:00
2024-05-18T12:21:31.790366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:21:32.339036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing23
Missing (%)85.2%
Memory size348.0 B
2024-05-18T12:21:32.717952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length10.25
Min length8

Characters and Unicode

Total characters41
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

Unique4 ?
Unique (%)100.0%

Sample

1st row597-8618
2nd row02-6677-3855
3rd row812-9030
4th row070-8833-1597
ValueCountFrequency (%)
597-8618 1
25.0%
02-6677-3855 1
25.0%
812-9030 1
25.0%
070-8833-1597 1
25.0%
2024-05-18T12:21:33.843488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6
14.6%
8 6
14.6%
7 5
12.2%
0 5
12.2%
5 4
9.8%
3 4
9.8%
9 3
7.3%
6 3
7.3%
1 3
7.3%
2 2
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35
85.4%
Dash Punctuation 6
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 6
17.1%
7 5
14.3%
0 5
14.3%
5 4
11.4%
3 4
11.4%
9 3
8.6%
6 3
8.6%
1 3
8.6%
2 2
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6
14.6%
8 6
14.6%
7 5
12.2%
0 5
12.2%
5 4
9.8%
3 4
9.8%
9 3
7.3%
6 3
7.3%
1 3
7.3%
2 2
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6
14.6%
8 6
14.6%
7 5
12.2%
0 5
12.2%
5 4
9.8%
3 4
9.8%
9 3
7.3%
6 3
7.3%
1 3
7.3%
2 2
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

소재지우편번호
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing22
Missing (%)81.5%
Memory size348.0 B
2024-05-18T12:21:34.419542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters35
Distinct characters8
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 (%)60.0%

Sample

1st row156-020
2nd row156-825
3rd row156-060
4th row156-761
5th row156-020
ValueCountFrequency (%)
156-020 2
40.0%
156-825 1
20.0%
156-060 1
20.0%
156-761 1
20.0%
2024-05-18T12:21:35.321470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 7
20.0%
1 6
17.1%
5 6
17.1%
0 6
17.1%
- 5
14.3%
2 3
8.6%
8 1
 
2.9%
7 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
85.7%
Dash Punctuation 5
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 7
23.3%
1 6
20.0%
5 6
20.0%
0 6
20.0%
2 3
10.0%
8 1
 
3.3%
7 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 7
20.0%
1 6
17.1%
5 6
17.1%
0 6
17.1%
- 5
14.3%
2 3
8.6%
8 1
 
2.9%
7 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 7
20.0%
1 6
17.1%
5 6
17.1%
0 6
17.1%
- 5
14.3%
2 3
8.6%
8 1
 
2.9%
7 1
 
2.9%

지번주소
Text

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-18T12:21:36.022113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length21.666667
Min length12

Characters and Unicode

Total characters585
Distinct characters49
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)85.2%

Sample

1st row서울특별시 동작구 대방동 508번지 대방1차 e-편한세상 A 103동 903호
2nd row서울특별시 동작구 사당동 1021-15번지 202호
3rd row서울특별시 동작구 본동 48-6번지 101호
4th row서울특별시 동작구 대방동 501번지
5th row서울특별시 동작구 대방동 349-5번지
ValueCountFrequency (%)
서울특별시 27
23.1%
동작구 27
23.1%
사당동 10
 
8.5%
대방동 5
 
4.3%
흑석동 4
 
3.4%
349-5번지 2
 
1.7%
103동 2
 
1.7%
본동 2
 
1.7%
노량진동 2
 
1.7%
상도1동 2
 
1.7%
Other values (34) 34
29.1%
2024-05-18T12:21:36.902341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
15.4%
동 56
 
9.6%
1 39
 
6.7%
서 27
 
4.6%
특 27
 
4.6%
별 27
 
4.6%
시 27
 
4.6%
작 27
 
4.6%
구 27
 
4.6%
울 27
 
4.6%
Other values (39) 211
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 332
56.8%
Decimal Number 139
23.8%
Space Separator 90
 
15.4%
Dash Punctuation 22
 
3.8%
Lowercase Letter 1
 
0.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
16.9%
서 27
8.1%
특 27
8.1%
별 27
8.1%
시 27
8.1%
작 27
8.1%
구 27
8.1%
울 27
8.1%
사 10
 
3.0%
당 10
 
3.0%
Other values (25) 67
20.2%
Decimal Number
ValueCountFrequency (%)
1 39
28.1%
0 22
15.8%
4 15
 
10.8%
2 15
 
10.8%
3 11
 
7.9%
5 11
 
7.9%
9 9
 
6.5%
8 7
 
5.0%
6 5
 
3.6%
7 5
 
3.6%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
56.8%
Common 251
42.9%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
16.9%
서 27
8.1%
특 27
8.1%
별 27
8.1%
시 27
8.1%
작 27
8.1%
구 27
8.1%
울 27
8.1%
사 10
 
3.0%
당 10
 
3.0%
Other values (25) 67
20.2%
Common
ValueCountFrequency (%)
90
35.9%
1 39
15.5%
- 22
 
8.8%
0 22
 
8.8%
4 15
 
6.0%
2 15
 
6.0%
3 11
 
4.4%
5 11
 
4.4%
9 9
 
3.6%
8 7
 
2.8%
Other values (2) 10
 
4.0%
Latin
ValueCountFrequency (%)
e 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 332
56.8%
ASCII 253
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
35.6%
1 39
15.4%
- 22
 
8.7%
0 22
 
8.7%
4 15
 
5.9%
2 15
 
5.9%
3 11
 
4.3%
5 11
 
4.3%
9 9
 
3.6%
8 7
 
2.8%
Other values (4) 12
 
4.7%
Hangul
ValueCountFrequency (%)
동 56
16.9%
서 27
8.1%
특 27
8.1%
별 27
8.1%
시 27
8.1%
작 27
8.1%
구 27
8.1%
울 27
8.1%
사 10
 
3.0%
당 10
 
3.0%
Other values (25) 67
20.2%

도로명주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-18T12:21:37.478039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length36
Mean length32.259259
Min length24

Characters and Unicode

Total characters871
Distinct characters72
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row서울특별시 동작구 알마타길 37, 103동 903호 (대방동, 대방1차 e-편한세상 A)
2nd row서울특별시 동작구 사당로26가길 5, 202호 (사당동)
3rd row서울특별시 동작구 노량진로28길 16, 101호 (본동)
4th row서울특별시 동작구 여의대방로44길 10, 101동 19층 1905호 (대방동)
5th row서울특별시 동작구 알마타길 21-18 (대방동)
ValueCountFrequency (%)
서울특별시 27
 
16.5%
동작구 27
 
16.5%
사당동 10
 
6.1%
대방동 5
 
3.0%
흑석동 4
 
2.4%
101호 3
 
1.8%
알마타길 3
 
1.8%
2층 3
 
1.8%
1층 2
 
1.2%
93 2
 
1.2%
Other values (69) 78
47.6%
2024-05-18T12:21:38.631379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
15.7%
동 62
 
7.1%
1 51
 
5.9%
작 31
 
3.6%
서 28
 
3.2%
시 28
 
3.2%
울 27
 
3.1%
( 27
 
3.1%
길 27
 
3.1%
) 27
 
3.1%
Other values (62) 426
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
54.4%
Decimal Number 171
 
19.6%
Space Separator 137
 
15.7%
Open Punctuation 27
 
3.1%
Close Punctuation 27
 
3.1%
Other Punctuation 20
 
2.3%
Dash Punctuation 12
 
1.4%
Uppercase Letter 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
 
13.1%
작 31
 
6.5%
서 28
 
5.9%
시 28
 
5.9%
울 27
 
5.7%
길 27
 
5.7%
구 27
 
5.7%
별 27
 
5.7%
특 27
 
5.7%
로 23
 
4.9%
Other values (44) 167
35.2%
Decimal Number
ValueCountFrequency (%)
1 51
29.8%
2 24
14.0%
3 21
12.3%
0 21
12.3%
5 13
 
7.6%
6 11
 
6.4%
9 11
 
6.4%
4 7
 
4.1%
7 6
 
3.5%
8 6
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 474
54.4%
Common 394
45.2%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
 
13.1%
작 31
 
6.5%
서 28
 
5.9%
시 28
 
5.9%
울 27
 
5.7%
길 27
 
5.7%
구 27
 
5.7%
별 27
 
5.7%
특 27
 
5.7%
로 23
 
4.9%
Other values (44) 167
35.2%
Common
ValueCountFrequency (%)
137
34.8%
1 51
 
12.9%
( 27
 
6.9%
) 27
 
6.9%
2 24
 
6.1%
3 21
 
5.3%
0 21
 
5.3%
, 20
 
5.1%
5 13
 
3.3%
- 12
 
3.0%
Other values (5) 41
 
10.4%
Latin
ValueCountFrequency (%)
B 1
33.3%
A 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
54.4%
ASCII 397
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
34.5%
1 51
 
12.8%
( 27
 
6.8%
) 27
 
6.8%
2 24
 
6.0%
3 21
 
5.3%
0 21
 
5.3%
, 20
 
5.0%
5 13
 
3.3%
- 12
 
3.0%
Other values (8) 44
 
11.1%
Hangul
ValueCountFrequency (%)
동 62
 
13.1%
작 31
 
6.5%
서 28
 
5.9%
시 28
 
5.9%
울 27
 
5.7%
길 27
 
5.7%
구 27
 
5.7%
별 27
 
5.7%
특 27
 
5.7%
로 23
 
4.9%
Other values (44) 167
35.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)88.9%
Missing9
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean6985
Minimum6910
Maximum7067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-18T12:21:38.983092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6910
5-th percentile6910.85
Q16940.5
median7009.5
Q37021.75
95-th percentile7033
Maximum7067
Range157
Interquartile range (IQR)81.25

Descriptive statistics

Standard deviation48.190797
Coefficient of variation (CV)0.0068991836
Kurtosis-1.2038031
Mean6985
Median Absolute Deviation (MAD)24
Skewness-0.31498678
Sum125730
Variance2322.3529
MonotonicityNot monotonic
2024-05-18T12:21:39.458481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
7015 2
 
7.4%
7024 2
 
7.4%
7067 1
 
3.7%
7013 1
 
3.7%
7007 1
 
3.7%
6945 1
 
3.7%
6979 1
 
3.7%
6969 1
 
3.7%
6910 1
 
3.7%
6925 1
 
3.7%
Other values (6) 6
22.2%
(Missing) 9
33.3%
ValueCountFrequency (%)
6910 1
3.7%
6911 1
3.7%
6923 1
3.7%
6925 1
3.7%
6939 1
3.7%
6945 1
3.7%
6969 1
3.7%
6979 1
3.7%
7007 1
3.7%
7012 1
3.7%
ValueCountFrequency (%)
7067 1
3.7%
7027 1
3.7%
7025 1
3.7%
7024 2
7.4%
7015 2
7.4%
7013 1
3.7%
7012 1
3.7%
7007 1
3.7%
6979 1
3.7%
6969 1
3.7%

사업장명
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-18T12:21:39.998327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length8.7407407
Min length3

Characters and Unicode

Total characters236
Distinct characters112
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)92.6%

Sample

1st rowe-편한세상
2nd rowOrdinary People
3rd rowPeace On House
4th row경 림
5th row오케이 게스트하우스
ValueCountFrequency (%)
오케이 2
 
4.2%
house 2
 
4.2%
게스트하우스 2
 
4.2%
스테이 2
 
4.2%
사당 2
 
4.2%
세계365하우스 1
 
2.1%
보름달낭만 1
 
2.1%
영스테이 1
 
2.1%
ordinary 1
 
2.1%
people 1
 
2.1%
Other values (33) 33
68.8%
2024-05-18T12:21:41.165551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
8.9%
스 12
 
5.1%
e 9
 
3.8%
이 8
 
3.4%
E 7
 
3.0%
O 6
 
2.5%
S 5
 
2.1%
o 4
 
1.7%
a 4
 
1.7%
H 4
 
1.7%
Other values (102) 156
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
47.9%
Uppercase Letter 49
20.8%
Lowercase Letter 39
 
16.5%
Space Separator 21
 
8.9%
Decimal Number 7
 
3.0%
Open Punctuation 3
 
1.3%
Close Punctuation 3
 
1.3%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 12
 
10.6%
이 8
 
7.1%
트 4
 
3.5%
하 4
 
3.5%
우 4
 
3.5%
테 4
 
3.5%
오 3
 
2.7%
집 3
 
2.7%
게 2
 
1.8%
당 2
 
1.8%
Other values (57) 67
59.3%
Uppercase Letter
ValueCountFrequency (%)
E 7
14.3%
O 6
12.2%
S 5
10.2%
H 4
 
8.2%
A 4
 
8.2%
N 3
 
6.1%
T 3
 
6.1%
P 2
 
4.1%
U 2
 
4.1%
M 2
 
4.1%
Other values (10) 11
22.4%
Lowercase Letter
ValueCountFrequency (%)
e 9
23.1%
o 4
10.3%
a 4
10.3%
s 4
10.3%
r 3
 
7.7%
u 3
 
7.7%
d 2
 
5.1%
n 2
 
5.1%
m 1
 
2.6%
h 1
 
2.6%
Other values (6) 6
15.4%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
2 2
28.6%
6 1
14.3%
5 1
14.3%
3 1
14.3%
Space Separator
ValueCountFrequency (%)
21
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 113
47.9%
Latin 88
37.3%
Common 35
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 12
 
10.6%
이 8
 
7.1%
트 4
 
3.5%
하 4
 
3.5%
우 4
 
3.5%
테 4
 
3.5%
오 3
 
2.7%
집 3
 
2.7%
게 2
 
1.8%
당 2
 
1.8%
Other values (57) 67
59.3%
Latin
ValueCountFrequency (%)
e 9
 
10.2%
E 7
 
8.0%
O 6
 
6.8%
S 5
 
5.7%
o 4
 
4.5%
a 4
 
4.5%
H 4
 
4.5%
s 4
 
4.5%
A 4
 
4.5%
r 3
 
3.4%
Other values (26) 38
43.2%
Common
ValueCountFrequency (%)
21
60.0%
( 3
 
8.6%
) 3
 
8.6%
0 2
 
5.7%
2 2
 
5.7%
6 1
 
2.9%
5 1
 
2.9%
3 1
 
2.9%
- 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 123
52.1%
Hangul 113
47.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
 
17.1%
e 9
 
7.3%
E 7
 
5.7%
O 6
 
4.9%
S 5
 
4.1%
o 4
 
3.3%
a 4
 
3.3%
H 4
 
3.3%
s 4
 
3.3%
A 4
 
3.3%
Other values (35) 55
44.7%
Hangul
ValueCountFrequency (%)
스 12
 
10.6%
이 8
 
7.1%
트 4
 
3.5%
하 4
 
3.5%
우 4
 
3.5%
테 4
 
3.5%
오 3
 
2.7%
집 3
 
2.7%
게 2
 
1.8%
당 2
 
1.8%
Other values (57) 67
59.3%

최종수정일자
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2017-01-16 00:00:00
Maximum2024-05-16 16:36:17
2024-05-18T12:21:41.823852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:21:42.213147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
I
22 
U
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 22
81.5%
U 5
 
18.5%

Length

2024-05-18T12:21:42.633282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:42.908969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
81.5%
u 5
 
18.5%

데이터갱신일자
Date

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2018-08-31 23:59:00
Maximum2023-12-04 23:08:00
2024-05-18T12:21:43.228344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:21:43.689126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

좌표정보(X)
Real number (ℝ)

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196061.44
Minimum192038.94
Maximum198250.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-18T12:21:44.147352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192038.94
5-th percentile193213.62
Q1194822.41
median196033.49
Q3197919.96
95-th percentile198185.54
Maximum198250.14
Range6211.1946
Interquartile range (IQR)3097.5496

Descriptive statistics

Standard deviation1887.0596
Coefficient of variation (CV)0.0096248383
Kurtosis-0.86234536
Mean196061.44
Median Absolute Deviation (MAD)1825.9636
Skewness-0.52269257
Sum5293658.8
Variance3560994.1
MonotonicityNot monotonic
2024-05-18T12:21:44.626379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
193547.5152 2
 
7.4%
193660.3078 1
 
3.7%
196000.930407451 1
 
3.7%
197846.999278875 1
 
3.7%
192038.940985731 1
 
3.7%
198189.587723611 1
 
3.7%
198077.376508364 1
 
3.7%
193187.964794632 1
 
3.7%
198250.135586004 1
 
3.7%
196893.424229834 1
 
3.7%
Other values (16) 16
59.3%
ValueCountFrequency (%)
192038.940985731 1
3.7%
193187.964794632 1
3.7%
193273.484 1
3.7%
193547.5152 2
7.4%
193660.3078 1
3.7%
194759.7194 1
3.7%
194885.1089 1
3.7%
195549.5715 1
3.7%
195927.4687 1
3.7%
195930.347 1
3.7%
ValueCountFrequency (%)
198250.135586004 1
3.7%
198189.587723611 1
3.7%
198176.108865436 1
3.7%
198121.4144 1
3.7%
198077.376508364 1
3.7%
198017.791 1
3.7%
197980.470815285 1
3.7%
197859.4567 1
3.7%
197846.999278875 1
3.7%
197390.143152718 1
3.7%

좌표정보(Y)
Real number (ℝ)

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443878.87
Minimum441681.56
Maximum445547.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-18T12:21:45.112632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441681.56
5-th percentile441749.15
Q1442275.99
median444646.28
Q3445233.43
95-th percentile445537.38
Maximum445547.29
Range3865.728
Interquartile range (IQR)2957.4378

Descriptive statistics

Standard deviation1534.1319
Coefficient of variation (CV)0.003456195
Kurtosis-1.763701
Mean443878.87
Median Absolute Deviation (MAD)891.5913
Skewness-0.29590296
Sum11984730
Variance2353560.7
MonotonicityNot monotonic
2024-05-18T12:21:45.678778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
445485.7737 2
 
7.4%
445537.8699 1
 
3.7%
443630.017002402 1
 
3.7%
441740.161361495 1
 
3.7%
443003.146302635 1
 
3.7%
442357.33976396 1
 
3.7%
442579.970690185 1
 
3.7%
444788.1775104 1
 
3.7%
441899.569361628 1
 
3.7%
444969.92496415 1
 
3.7%
Other values (16) 16
59.3%
ValueCountFrequency (%)
441681.558303271 1
3.7%
441740.161361495 1
3.7%
441770.1193 1
3.7%
441858.849629691 1
3.7%
441899.569361628 1
3.7%
442091.2594 1
3.7%
442194.6494 1
3.7%
442357.33976396 1
3.7%
442578.047270398 1
3.7%
442579.970690185 1
3.7%
ValueCountFrequency (%)
445547.2863 1
3.7%
445537.8699 1
3.7%
445536.2293 1
3.7%
445511.5908 1
3.7%
445485.7737 2
7.4%
445237.7837 1
3.7%
445229.081 1
3.7%
445141.8177 1
3.7%
445088.0122 1
3.7%
445011.2501 1
3.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
외국인관광 도시민박업
15 
<NA>
12 

Length

Max length11
Median length11
Mean length7.8888889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외국인관광 도시민박업
2nd row외국인관광 도시민박업
3rd row외국인관광 도시민박업
4th row외국인관광 도시민박업
5th row외국인관광 도시민박업

Common Values

ValueCountFrequency (%)
외국인관광 도시민박업 15
55.6%
<NA> 12
44.4%

Length

2024-05-18T12:21:46.303180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:46.720038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 15
35.7%
도시민박업 15
35.7%
na 12
28.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

지역구분명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
17 
일반주거지역
9 
주거지역
 
1

Length

Max length6
Median length4
Mean length4.6666667
Min length4

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
63.0%
일반주거지역 9
33.3%
주거지역 1
 
3.7%

Length

2024-05-18T12:21:47.314339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:47.727211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
63.0%
일반주거지역 9
33.3%
주거지역 1
 
3.7%

총층수
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
2
 
2
3
 
2
0
 
2

Length

Max length4
Median length4
Mean length3.3333333
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> 21
77.8%
2 2
 
7.4%
3 2
 
7.4%
0 2
 
7.4%

Length

2024-05-18T12:21:48.166647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:48.617281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
2 2
 
7.4%
3 2
 
7.4%
0 2
 
7.4%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing26
Missing (%)96.3%
Memory size348.0 B
2024-05-18T12:21:48.923142image/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 row아파트지역
ValueCountFrequency (%)
아파트지역 1
100.0%
2024-05-18T12:21:49.766619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

건물용도명
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
19 
단독주택
5 
아파트
2 
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.3333333
Min length3

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
70.4%
단독주택 5
 
18.5%
아파트 2
 
7.4%
다가구용 주택(공동주택적용) 1
 
3.7%

Length

2024-05-18T12:21:50.366867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:50.678799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
67.9%
단독주택 5
 
17.9%
아파트 2
 
7.1%
다가구용 1
 
3.6%
주택(공동주택적용 1
 
3.6%

지상층수
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
20 
2
4 
0
 
2
19
 
1

Length

Max length4
Median length4
Mean length3.2592593
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row19
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
74.1%
2 4
 
14.8%
0 2
 
7.4%
19 1
 
3.7%

Length

2024-05-18T12:21:51.040073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:51.397086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
74.1%
2 4
 
14.8%
0 2
 
7.4%
19 1
 
3.7%

지하층수
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
1
3 
0
3 

Length

Max length4
Median length4
Mean length3.3333333
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> 21
77.8%
1 3
 
11.1%
0 3
 
11.1%

Length

2024-05-18T12:21:51.763266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:52.080600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
1 3
 
11.1%
0 3
 
11.1%

객실수
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
4 
1
 
1

Length

Max length4
Median length4
Mean length3.4444444
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
81.5%
0 4
 
14.8%
1 1
 
3.7%

Length

2024-05-18T12:21:52.438717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:52.708836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 4
 
14.8%
1 1
 
3.7%

건축연면적
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
5 

Length

Max length4
Median length4
Mean length3.4444444
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> 22
81.5%
0 5
 
18.5%

Length

2024-05-18T12:21:53.063798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:53.371073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 5
 
18.5%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing25
Missing (%)92.6%
Memory size348.0 B
2024-05-18T12:21:53.630808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12
Min length10

Characters and Unicode

Total characters24
Distinct characters14
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 rowSWEET HOMESTAY
2nd row2002 SEOUL
ValueCountFrequency (%)
sweet 1
25.0%
homestay 1
25.0%
2002 1
25.0%
seoul 1
25.0%
2024-05-18T12:21:54.354794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 4
16.7%
S 3
12.5%
T 2
8.3%
2
8.3%
O 2
8.3%
2 2
8.3%
0 2
8.3%
W 1
 
4.2%
H 1
 
4.2%
M 1
 
4.2%
Other values (4) 4
16.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 18
75.0%
Decimal Number 4
 
16.7%
Space Separator 2
 
8.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 4
22.2%
S 3
16.7%
T 2
11.1%
O 2
11.1%
W 1
 
5.6%
H 1
 
5.6%
M 1
 
5.6%
A 1
 
5.6%
Y 1
 
5.6%
U 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 2
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18
75.0%
Common 6
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 4
22.2%
S 3
16.7%
T 2
11.1%
O 2
11.1%
W 1
 
5.6%
H 1
 
5.6%
M 1
 
5.6%
A 1
 
5.6%
Y 1
 
5.6%
U 1
 
5.6%
Common
ValueCountFrequency (%)
2
33.3%
2 2
33.3%
0 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 4
16.7%
S 3
12.5%
T 2
8.3%
2
8.3%
O 2
8.3%
2 2
8.3%
0 2
8.3%
W 1
 
4.2%
H 1
 
4.2%
M 1
 
4.2%
Other values (4) 4
16.7%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing26
Missing (%)96.3%
Memory size348.0 B
2024-05-18T12:21:54.869221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length54
Mean length54
Min length54

Characters and Unicode

Total characters54
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowUrban private room rental business for foreign tourist
ValueCountFrequency (%)
urban 1
12.5%
private 1
12.5%
room 1
12.5%
rental 1
12.5%
business 1
12.5%
for 1
12.5%
foreign 1
12.5%
tourist 1
12.5%
2024-05-18T12:21:55.586899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
13.0%
r 7
13.0%
o 5
9.3%
t 4
 
7.4%
n 4
 
7.4%
i 4
 
7.4%
s 4
 
7.4%
e 4
 
7.4%
a 3
 
5.6%
b 2
 
3.7%
Other values (8) 10
18.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 46
85.2%
Space Separator 7
 
13.0%
Uppercase Letter 1
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 7
15.2%
o 5
10.9%
t 4
8.7%
n 4
8.7%
i 4
8.7%
s 4
8.7%
e 4
8.7%
a 3
6.5%
b 2
 
4.3%
f 2
 
4.3%
Other values (6) 7
15.2%
Space Separator
ValueCountFrequency (%)
7
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 47
87.0%
Common 7
 
13.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 7
14.9%
o 5
10.6%
t 4
8.5%
n 4
8.5%
i 4
8.5%
s 4
8.5%
e 4
8.5%
a 3
 
6.4%
b 2
 
4.3%
f 2
 
4.3%
Other values (7) 8
17.0%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
13.0%
r 7
13.0%
o 5
9.3%
t 4
 
7.4%
n 4
 
7.4%
i 4
 
7.4%
s 4
 
7.4%
e 4
 
7.4%
a 3
 
5.6%
b 2
 
3.7%
Other values (8) 10
18.5%

선박총톤수
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
5 

Length

Max length4
Median length4
Mean length3.4444444
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> 22
81.5%
0 5
 
18.5%

Length

2024-05-18T12:21:56.036593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:56.463598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 5
 
18.5%

선박척수
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
5 

Length

Max length4
Median length4
Mean length3.4444444
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> 22
81.5%
0 5
 
18.5%

Length

2024-05-18T12:21:56.912355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:57.277861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 5
 
18.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

무대면적
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
5 

Length

Max length4
Median length4
Mean length3.4444444
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> 22
81.5%
0 5
 
18.5%

Length

2024-05-18T12:21:57.664533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:58.191899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 5
 
18.5%

좌석수
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
5 

Length

Max length4
Median length4
Mean length3.4444444
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> 22
81.5%
0 5
 
18.5%

Length

2024-05-18T12:21:58.632294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:58.903622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 5
 
18.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
5 

Length

Max length4
Median length4
Mean length3.4444444
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> 22
81.5%
0 5
 
18.5%

Length

2024-05-18T12:21:59.248553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:21:59.553313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 5
 
18.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)87.5%
Missing19
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean82.92
Minimum0
Maximum149.04
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-18T12:21:59.837241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163.24
median98.625
Q3112.6875
95-th percentile140.1885
Maximum149.04
Range149.04
Interquartile range (IQR)49.4475

Descriptive statistics

Standard deviation54.895091
Coefficient of variation (CV)0.66202473
Kurtosis-0.4740765
Mean82.92
Median Absolute Deviation (MAD)19.715
Skewness-0.86541334
Sum663.36
Variance3013.471
MonotonicityNot monotonic
2024-05-18T12:22:00.181954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 2
 
7.4%
84.32 1
 
3.7%
109.0 1
 
3.7%
149.04 1
 
3.7%
90.61 1
 
3.7%
106.64 1
 
3.7%
123.75 1
 
3.7%
(Missing) 19
70.4%
ValueCountFrequency (%)
0.0 2
7.4%
84.32 1
3.7%
90.61 1
3.7%
106.64 1
3.7%
109.0 1
3.7%
123.75 1
3.7%
149.04 1
3.7%
ValueCountFrequency (%)
149.04 1
3.7%
123.75 1
3.7%
109.0 1
3.7%
106.64 1
3.7%
90.61 1
3.7%
84.32 1
3.7%
0.0 2
7.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
22 
0
5 

Length

Max length4
Median length4
Mean length3.4444444
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> 22
81.5%
0 5
 
18.5%

Length

2024-05-18T12:22:00.670975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:22:00.939021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
81.5%
0 5
 
18.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

자본금
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
21 
0
4 
10000000
 
1
50000000
 
1

Length

Max length8
Median length4
Mean length3.8518519
Min length1

Unique

Unique2 ?
Unique (%)7.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
77.8%
0 4
 
14.8%
10000000 1
 
3.7%
50000000 1
 
3.7%

Length

2024-05-18T12:22:01.218136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:22:01.530904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
77.8%
0 4
 
14.8%
10000000 1
 
3.7%
50000000 1
 
3.7%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)87.5%
Missing19
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean83
Minimum0
Maximum149
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-18T12:22:01.763237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163
median99
Q3112.75
95-th percentile140.25
Maximum149
Range149
Interquartile range (IQR)49.75

Descriptive statistics

Standard deviation54.944127
Coefficient of variation (CV)0.66197744
Kurtosis-0.47917972
Mean83
Median Absolute Deviation (MAD)20
Skewness-0.8672896
Sum664
Variance3018.8571
MonotonicityNot monotonic
2024-05-18T12:22:02.043399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2
 
7.4%
84 1
 
3.7%
109 1
 
3.7%
149 1
 
3.7%
91 1
 
3.7%
107 1
 
3.7%
124 1
 
3.7%
(Missing) 19
70.4%
ValueCountFrequency (%)
0 2
7.4%
84 1
3.7%
91 1
3.7%
107 1
3.7%
109 1
3.7%
124 1
3.7%
149 1
3.7%
ValueCountFrequency (%)
149 1
3.7%
124 1
3.7%
109 1
3.7%
107 1
3.7%
91 1
3.7%
84 1
3.7%
0 2
7.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03190000CDFI226221201300000120131010<NA>3폐업3폐업20170424<NA><NA><NA>597-8618<NA>156-020서울특별시 동작구 대방동 508번지 대방1차 e-편한세상 A 103동 903호서울특별시 동작구 알마타길 37, 103동 903호 (대방동, 대방1차 e-편한세상 A)<NA>e-편한세상2017-04-26I2018-08-31 23:59:00.0<NA>193660.3078445537.8699외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.32<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84
13190000CDFI226221201400000120140801<NA>3폐업3폐업20170412<NA><NA><NA><NA><NA>156-825서울특별시 동작구 사당동 1021-15번지 202호서울특별시 동작구 사당로26가길 5, 202호 (사당동)<NA>Ordinary People2017-04-12I2018-08-31 23:59:00.0<NA>198017.791442091.2594외국인관광 도시민박업<NA>일반주거지역<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>
23190000CDFI226221201400000220140115<NA>3폐업3폐업20181129<NA><NA><NA>02-6677-3855<NA>156-060서울특별시 동작구 본동 48-6번지 101호서울특별시 동작구 노량진로28길 16, 101호 (본동)<NA>Peace On House2018-11-29U2018-12-01 02:40:00.0<NA>195959.9184445547.2863외국인관광 도시민박업<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>
33190000CDFI226221201500000120150305<NA>3폐업3폐업20170413<NA><NA><NA>812-9030<NA>156-761서울특별시 동작구 대방동 501번지서울특별시 동작구 여의대방로44길 10, 101동 19층 1905호 (대방동)<NA>경 림2017-04-13I2018-08-31 23:59:00.0<NA>193273.484445011.2501외국인관광 도시민박업<NA>일반주거지역<NA>아파트지역<NA><NA>아파트19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>109.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>109
43190000CDFI226221201500000220150727<NA>3폐업3폐업20190628<NA><NA><NA><NA><NA>156-020서울특별시 동작구 대방동 349-5번지서울특별시 동작구 알마타길 21-18 (대방동)<NA>오케이 게스트하우스2019-06-28I2019-06-30 02:21:00.0<NA>193547.5152445485.7737외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA>단독주택<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>
53190000CDFI226221201600000120161025<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도1동서울특별시 동작구 상도로41가길 22 (상도1동, 상도고시원)6969MK Guesthouse2021-04-20U2021-04-22 02:40:00.0<NA>195549.5715444646.2786외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA>단독주택<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>
63190000CDFI226221201600000220160615<NA>3폐업3폐업20170113<NA><NA><NA><NA><NA><NA>서울특별시 동작구 본동서울특별시 동작구 노량진로26길 13-11 (본동)<NA>망고 서울2017-01-16I2018-08-31 23:59:00.0<NA>195930.347445511.5908외국인관광 도시민박업<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>
73190000CDFI226221201600000320160927<NA>3폐업3폐업20190701<NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도1동서울특별시 동작구 상도로53길 8, 316동 802호 (상도1동)<NA>SWEET HOMESTAY(스위트홈스테이)2019-07-01I2019-07-03 02:21:00.0<NA>195927.4687444128.0084외국인관광 도시민박업<NA>주거지역<NA><NA><NA><NA>아파트<NA><NA><NA><NA>SWEET HOMESTAY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83190000CDFI226221201600000420160829<NA>3폐업3폐업20211231<NA><NA><NA><NA><NA><NA>서울특별시 동작구 흑석동 186-16 402호서울특별시 동작구 흑석로5길 93 (흑석동)<NA>인더가든(IN THE GARDEN)2022-01-04I2022-01-06 00:22:00.0<NA>196263.1182445237.7837<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>
93190000CDFI22622120160000052016-05-16<NA>2휴업2휴업<NA>2023-12-142027-12-14<NA>070-8833-1597<NA><NA>서울특별시 동작구 사당동 1131 두산위브 트레지움 103동 1702호서울특별시 동작구 사당로13길 31, 103동 17층 1702호 (사당동, 두산위브 트레지움)<NA>제이슨 하우스(JASON HOUSE)2023-12-14 10:28:10I2022-11-01 23:06:00.0<NA>197390.143153442578.04727<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
173190000CDFI226221202300000220230518<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 노량진동 83-14서울특별시 동작구 노량진로14길 35-6, 1층 (노량진동)6923스테이 어센티카2023-05-18I2023-05-20 00:19:00.0<NA>194885.1089445536.2293외국인관광 도시민박업<NA>일반주거지역0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>0
183190000CDFI22622120230000032023-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 1032-21서울특별시 동작구 남부순환로271길 50, 101호 (사당동)7015사당 포레스트2023-12-13 10:29:18I2022-11-01 23:05:00.0<NA>198176.108865441858.84963<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>
193190000CDFI22622120240000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 1045-4서울특별시 동작구 동작대로7길 93, 2층 (사당동)7024그린나래2024-01-09 17:36:01I2023-11-30 23:01:00.0<NA>197980.470815441681.558303<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>
203190000CDFI22622120240000022024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 흑석동 43-29서울특별시 동작구 서달로14길 50-9 (흑석동)6979까망돌 스테이2024-01-17 12:58:57I2023-11-30 23:09:00.0<NA>196893.42423444969.924964<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>
213190000CDFI22622120240000032024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 1031-7서울특별시 동작구 사당로30길 123-6, 지1층 (사당동)7015써니힐2024-02-14 10:08:48I2023-12-01 23:07:00.0<NA>198250.135586441899.569362<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>
223190000CDFI22622120240000042024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 382-4서울특별시 동작구 여의대방로36길 21-1 (대방동)6945Casa de Amor2024-02-23 13:57:00I2023-12-01 22:05:00.0<NA>193187.964795444788.17751<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>
233190000CDFI22622120240000052024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 141-52서울특별시 동작구 사당로29가길 5, 2층 (사당동)7007보름달낭만2024-02-26 17:49:06I2023-12-01 22:09:00.0<NA>198077.376508442579.97069<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>
243190000CDFI22622120240000062024-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 1005-14서울특별시 동작구 동작대로19길 23, B102호 (사당동)7013세계365하우스2024-03-04 17:47:15I2023-12-03 00:06:00.0<NA>198189.587724442357.339764<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>
253190000CDFI22622120240000072024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 601-77서울특별시 동작구 신대방2길 69-4, 203호 (신대방동)7067달오름2024-04-02 14:16:44I2023-12-04 00:04:00.0<NA>192038.940986443003.146303<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>
263190000CDFI22622120240000082024-05-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 419-117서울특별시 동작구 남부순환로265가길 16, 101호 (사당동)7024코즈컴2024-05-16 16:36:17I2023-12-04 23:08:00.0<NA>197846.999279441740.161361<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>