Overview

Dataset statistics

Number of variables60
Number of observations66
Missing cells2188
Missing cells (%)55.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.7 KiB
Average record size in memory523.0 B

Variable types

Categorical15
Text8
DateTime4
Unsupported26
Numeric7

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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17585/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 is highly imbalanced (73.3%)Imbalance
총층수 is highly imbalanced (83.1%)Imbalance
보험기관명 is highly imbalanced (52.1%)Imbalance
지상층수 is highly imbalanced (70.6%)Imbalance
지하층수 is highly imbalanced (76.1%)Imbalance
영문상호명 is highly imbalanced (88.7%)Imbalance
자본금 is highly imbalanced (50.5%)Imbalance
인허가취소일자 has 66 (100.0%) missing valuesMissing
폐업일자 has 29 (43.9%) missing valuesMissing
휴업시작일자 has 66 (100.0%) missing valuesMissing
휴업종료일자 has 66 (100.0%) missing valuesMissing
재개업일자 has 66 (100.0%) missing valuesMissing
전화번호 has 47 (71.2%) missing valuesMissing
소재지면적 has 66 (100.0%) missing valuesMissing
소재지우편번호 has 46 (69.7%) missing valuesMissing
도로명우편번호 has 7 (10.6%) missing valuesMissing
업태구분명 has 66 (100.0%) missing valuesMissing
주변환경명 has 65 (98.5%) missing valuesMissing
제작취급품목내용 has 66 (100.0%) missing valuesMissing
건물용도명 has 62 (93.9%) missing valuesMissing
객실수 has 66 (100.0%) missing valuesMissing
건축연면적 has 66 (100.0%) missing valuesMissing
영문상호주소 has 66 (100.0%) missing valuesMissing
선박총톤수 has 66 (100.0%) missing valuesMissing
선박척수 has 66 (100.0%) missing valuesMissing
선박제원 has 66 (100.0%) missing valuesMissing
무대면적 has 66 (100.0%) missing valuesMissing
좌석수 has 66 (100.0%) missing valuesMissing
기념품종류 has 66 (100.0%) missing valuesMissing
회의실별동시수용인원 has 66 (100.0%) missing valuesMissing
시설면적 has 59 (89.4%) missing valuesMissing
놀이기구수내역 has 66 (100.0%) missing valuesMissing
놀이시설수 has 66 (100.0%) missing valuesMissing
방송시설유무 has 66 (100.0%) missing valuesMissing
발전시설유무 has 66 (100.0%) missing valuesMissing
의무실유무 has 66 (100.0%) missing valuesMissing
안내소유무 has 66 (100.0%) missing valuesMissing
기획여행보험시작일자 has 66 (100.0%) missing valuesMissing
기획여행보험종료일자 has 66 (100.0%) missing valuesMissing
보험시작일자 has 49 (74.2%) missing valuesMissing
보험종료일자 has 49 (74.2%) missing valuesMissing
부대시설내역 has 66 (100.0%) missing valuesMissing
시설규모 has 59 (89.4%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 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
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 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
회의실별동시수용인원 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
놀이시설수 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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:22:07.868615
Analysis finished2024-05-11 06:22:08.935362
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
3080000
66 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 66
100.0%

Length

2024-05-11T15:22:09.045126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:09.208649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 66
100.0%

관리번호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T15:22:09.483672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1320
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

Unique66 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021996000001
2nd rowCDFI2260022001000001
3rd rowCDFI2260022004000001
4th rowCDFI2260022005000003
5th rowCDFI2260022006000002
ValueCountFrequency (%)
cdfi2260021996000001 1
 
1.5%
cdfi2260022021000001 1
 
1.5%
cdfi2260022023000005 1
 
1.5%
cdfi2260022018000005 1
 
1.5%
cdfi2260022018000006 1
 
1.5%
cdfi2260022018000007 1
 
1.5%
cdfi2260022018000008 1
 
1.5%
cdfi2260022018000009 1
 
1.5%
cdfi2260022018000010 1
 
1.5%
cdfi2260022018000011 1
 
1.5%
Other values (56) 56
84.8%
2024-05-11T15:22:10.091321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 539
40.8%
2 310
23.5%
6 77
 
5.8%
C 66
 
5.0%
D 66
 
5.0%
F 66
 
5.0%
I 66
 
5.0%
1 62
 
4.7%
3 19
 
1.4%
4 13
 
1.0%
Other values (4) 36
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1056
80.0%
Uppercase Letter 264
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 539
51.0%
2 310
29.4%
6 77
 
7.3%
1 62
 
5.9%
3 19
 
1.8%
4 13
 
1.2%
8 12
 
1.1%
5 11
 
1.0%
7 7
 
0.7%
9 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 66
25.0%
D 66
25.0%
F 66
25.0%
I 66
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1056
80.0%
Latin 264
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 539
51.0%
2 310
29.4%
6 77
 
7.3%
1 62
 
5.9%
3 19
 
1.8%
4 13
 
1.2%
8 12
 
1.1%
5 11
 
1.0%
7 7
 
0.7%
9 6
 
0.6%
Latin
ValueCountFrequency (%)
C 66
25.0%
D 66
25.0%
F 66
25.0%
I 66
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 539
40.8%
2 310
23.5%
6 77
 
5.8%
C 66
 
5.0%
D 66
 
5.0%
F 66
 
5.0%
I 66
 
5.0%
1 62
 
4.7%
3 19
 
1.4%
4 13
 
1.0%
Other values (4) 36
 
2.7%

인허가일자
Date

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum1996-12-18 00:00:00
Maximum2023-07-28 00:00:00
2024-05-11T15:22:10.376347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:10.608987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
3
31 
1
29 
5
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
47.0%
1 29
43.9%
5 6
 
9.1%

Length

2024-05-11T15:22:10.805191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:10.980052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
47.0%
1 29
43.9%
5 6
 
9.1%

영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
폐업
31 
영업/정상
29 
제외/삭제/전출
6 

Length

Max length8
Median length5
Mean length3.8636364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
47.0%
영업/정상 29
43.9%
제외/삭제/전출 6
 
9.1%

Length

2024-05-11T15:22:11.171233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:11.357034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
47.0%
영업/정상 29
43.9%
제외/삭제/전출 6
 
9.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
3
31 
13
29 
15
6 

Length

Max length2
Median length2
Mean length1.530303
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
47.0%
13 29
43.9%
15 6
 
9.1%

Length

2024-05-11T15:22:11.536533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:11.702435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
47.0%
13 29
43.9%
15 6
 
9.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
폐업
31 
영업중
29 
전출
6 

Length

Max length3
Median length2
Mean length2.4393939
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
47.0%
영업중 29
43.9%
전출 6
 
9.1%

Length

2024-05-11T15:22:11.895429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:12.125178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
47.0%
영업중 29
43.9%
전출 6
 
9.1%

폐업일자
Date

MISSING 

Distinct37
Distinct (%)100.0%
Missing29
Missing (%)43.9%
Memory size660.0 B
Minimum2006-11-13 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T15:22:12.314089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:12.500214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing47
Missing (%)71.2%
Memory size660.0 B
2024-05-11T15:22:12.832562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10
Min length8

Characters and Unicode

Total characters190
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st row997-4673
2nd row02-993-6475
3rd row905-8181
4th row988-8114
5th row02-996-0545
ValueCountFrequency (%)
997-4673 1
 
4.8%
774-9001 1
 
4.8%
02-722-8787 1
 
4.8%
029776325 1
 
4.8%
0236731155 1
 
4.8%
5187 1
 
4.8%
422 1
 
4.8%
02 1
 
4.8%
07082024826 1
 
4.8%
955-8663 1
 
4.8%
Other values (11) 11
52.4%
2024-05-11T15:22:13.470838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 25
13.2%
0 24
12.6%
9 23
12.1%
- 22
11.6%
7 18
9.5%
8 16
8.4%
5 14
7.4%
4 12
6.3%
6 12
6.3%
1 11
5.8%
Other values (3) 13
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 164
86.3%
Dash Punctuation 22
 
11.6%
Space Separator 3
 
1.6%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 25
15.2%
0 24
14.6%
9 23
14.0%
7 18
11.0%
8 16
9.8%
5 14
8.5%
4 12
7.3%
6 12
7.3%
1 11
6.7%
3 9
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 25
13.2%
0 24
12.6%
9 23
12.1%
- 22
11.6%
7 18
9.5%
8 16
8.4%
5 14
7.4%
4 12
6.3%
6 12
6.3%
1 11
5.8%
Other values (3) 13
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 25
13.2%
0 24
12.6%
9 23
12.1%
- 22
11.6%
7 18
9.5%
8 16
8.4%
5 14
7.4%
4 12
6.3%
6 12
6.3%
1 11
5.8%
Other values (3) 13
6.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

소재지우편번호
Text

MISSING 

Distinct17
Distinct (%)85.0%
Missing46
Missing (%)69.7%
Memory size660.0 B
2024-05-11T15:22:13.874907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2
Min length6

Characters and Unicode

Total characters124
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

Unique14 ?
Unique (%)70.0%

Sample

1st row142815
2nd row142882
3rd row142070
4th row142070
5th row142878
ValueCountFrequency (%)
142878 2
 
10.0%
142070 2
 
10.0%
142-804 2
 
10.0%
142815 1
 
5.0%
142-703 1
 
5.0%
142061 1
 
5.0%
142071 1
 
5.0%
142864 1
 
5.0%
142-866 1
 
5.0%
142882 1
 
5.0%
Other values (7) 7
35.0%
2024-05-11T15:22:14.997170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 26
21.0%
1 25
20.2%
2 21
16.9%
8 16
12.9%
0 13
10.5%
7 11
8.9%
- 4
 
3.2%
6 4
 
3.2%
3 2
 
1.6%
9 1
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
96.8%
Dash Punctuation 4
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 26
21.7%
1 25
20.8%
2 21
17.5%
8 16
13.3%
0 13
10.8%
7 11
9.2%
6 4
 
3.3%
3 2
 
1.7%
9 1
 
0.8%
5 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 26
21.0%
1 25
20.2%
2 21
16.9%
8 16
12.9%
0 13
10.5%
7 11
8.9%
- 4
 
3.2%
6 4
 
3.2%
3 2
 
1.6%
9 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 26
21.0%
1 25
20.2%
2 21
16.9%
8 16
12.9%
0 13
10.5%
7 11
8.9%
- 4
 
3.2%
6 4
 
3.2%
3 2
 
1.6%
9 1
 
0.8%

지번주소
Text

Distinct56
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T15:22:15.517513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length26.818182
Min length19

Characters and Unicode

Total characters1770
Distinct characters84
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

Unique50 ?
Unique (%)75.8%

Sample

1st row서울특별시 강북구 미아동 322-6번지 142동 108호
2nd row서울특별시 강북구 수유동 311-4 1층
3rd row서울특별시 강북구 수유동 280-53번지 1층
4th row서울특별시 강북구 수유동 279-29번지 4층
5th row서울특별시 강북구 수유동 230-7번지 효성인텔리안 405호
ValueCountFrequency (%)
서울특별시 66
18.9%
강북구 66
18.9%
수유동 26
 
7.4%
미아동 23
 
6.6%
번동 17
 
4.9%
건우빌딩 7
 
2.0%
446-13 6
 
1.7%
3층 5
 
1.4%
174-9 5
 
1.4%
472-193 5
 
1.4%
Other values (94) 124
35.4%
2024-05-11T15:22:16.283527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
299
 
16.9%
1 75
 
4.2%
북 70
 
4.0%
동 69
 
3.9%
- 68
 
3.8%
서 66
 
3.7%
특 66
 
3.7%
별 66
 
3.7%
시 66
 
3.7%
강 66
 
3.7%
Other values (74) 859
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1000
56.5%
Decimal Number 396
 
22.4%
Space Separator 299
 
16.9%
Dash Punctuation 68
 
3.8%
Uppercase Letter 6
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 70
 
7.0%
동 69
 
6.9%
서 66
 
6.6%
특 66
 
6.6%
별 66
 
6.6%
시 66
 
6.6%
강 66
 
6.6%
구 66
 
6.6%
울 66
 
6.6%
번 36
 
3.6%
Other values (56) 363
36.3%
Decimal Number
ValueCountFrequency (%)
1 75
18.9%
4 65
16.4%
3 59
14.9%
2 59
14.9%
7 29
 
7.3%
9 26
 
6.6%
0 26
 
6.6%
6 22
 
5.6%
8 19
 
4.8%
5 16
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
R 1
16.7%
D 1
16.7%
K 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1000
56.5%
Common 764
43.2%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 70
 
7.0%
동 69
 
6.9%
서 66
 
6.6%
특 66
 
6.6%
별 66
 
6.6%
시 66
 
6.6%
강 66
 
6.6%
구 66
 
6.6%
울 66
 
6.6%
번 36
 
3.6%
Other values (56) 363
36.3%
Common
ValueCountFrequency (%)
299
39.1%
1 75
 
9.8%
- 68
 
8.9%
4 65
 
8.5%
3 59
 
7.7%
2 59
 
7.7%
7 29
 
3.8%
9 26
 
3.4%
0 26
 
3.4%
6 22
 
2.9%
Other values (3) 36
 
4.7%
Latin
ValueCountFrequency (%)
E 2
33.3%
R 1
16.7%
D 1
16.7%
K 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1000
56.5%
ASCII 770
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
299
38.8%
1 75
 
9.7%
- 68
 
8.8%
4 65
 
8.4%
3 59
 
7.7%
2 59
 
7.7%
7 29
 
3.8%
9 26
 
3.4%
0 26
 
3.4%
6 22
 
2.9%
Other values (8) 42
 
5.5%
Hangul
ValueCountFrequency (%)
북 70
 
7.0%
동 69
 
6.9%
서 66
 
6.6%
특 66
 
6.6%
별 66
 
6.6%
시 66
 
6.6%
강 66
 
6.6%
구 66
 
6.6%
울 66
 
6.6%
번 36
 
3.6%
Other values (56) 363
36.3%

도로명주소
Text

Distinct63
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T15:22:16.826842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length38
Mean length33.151515
Min length22

Characters and Unicode

Total characters2188
Distinct characters109
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

Unique60 ?
Unique (%)90.9%

Sample

1st row서울특별시 강북구 도봉로 129, 142동 108호 (미아동)
2nd row서울특별시 강북구 삼양로117길 31, 1층 (수유동)
3rd row서울특별시 강북구 삼양로131길 22 (수유동,1층)
4th row서울특별시 강북구 4.19로 8-1 (수유동,4층)
5th row서울특별시 강북구 도봉로 313 (수유동)
ValueCountFrequency (%)
서울특별시 66
 
14.9%
강북구 66
 
14.9%
도봉로 34
 
7.7%
수유동 23
 
5.2%
미아동 21
 
4.7%
번동 17
 
3.8%
328 14
 
3.2%
3층 10
 
2.3%
삼양로 9
 
2.0%
건우빌딩 7
 
1.6%
Other values (125) 176
39.7%
2024-05-11T15:22:17.630086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
 
17.6%
1 85
 
3.9%
북 70
 
3.2%
동 69
 
3.2%
서 67
 
3.1%
울 67
 
3.1%
3 67
 
3.1%
특 66
 
3.0%
별 66
 
3.0%
시 66
 
3.0%
Other values (99) 1181
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1211
55.3%
Space Separator 384
 
17.6%
Decimal Number 380
 
17.4%
Close Punctuation 66
 
3.0%
Open Punctuation 66
 
3.0%
Other Punctuation 65
 
3.0%
Dash Punctuation 8
 
0.4%
Uppercase Letter 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 70
 
5.8%
동 69
 
5.7%
서 67
 
5.5%
울 67
 
5.5%
특 66
 
5.5%
별 66
 
5.5%
시 66
 
5.5%
강 66
 
5.5%
구 66
 
5.5%
로 66
 
5.5%
Other values (78) 542
44.8%
Decimal Number
ValueCountFrequency (%)
1 85
22.4%
3 67
17.6%
2 57
15.0%
8 40
10.5%
4 30
 
7.9%
0 27
 
7.1%
9 23
 
6.1%
6 20
 
5.3%
7 18
 
4.7%
5 13
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
R 3
37.5%
E 2
25.0%
K 1
 
12.5%
S 1
 
12.5%
D 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 64
98.5%
. 1
 
1.5%
Space Separator
ValueCountFrequency (%)
384
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1211
55.3%
Common 969
44.3%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 70
 
5.8%
동 69
 
5.7%
서 67
 
5.5%
울 67
 
5.5%
특 66
 
5.5%
별 66
 
5.5%
시 66
 
5.5%
강 66
 
5.5%
구 66
 
5.5%
로 66
 
5.5%
Other values (78) 542
44.8%
Common
ValueCountFrequency (%)
384
39.6%
1 85
 
8.8%
3 67
 
6.9%
) 66
 
6.8%
( 66
 
6.8%
, 64
 
6.6%
2 57
 
5.9%
8 40
 
4.1%
4 30
 
3.1%
0 27
 
2.8%
Other values (6) 83
 
8.6%
Latin
ValueCountFrequency (%)
R 3
37.5%
E 2
25.0%
K 1
 
12.5%
S 1
 
12.5%
D 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1211
55.3%
ASCII 977
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
39.3%
1 85
 
8.7%
3 67
 
6.9%
) 66
 
6.8%
( 66
 
6.8%
, 64
 
6.6%
2 57
 
5.8%
8 40
 
4.1%
4 30
 
3.1%
0 27
 
2.8%
Other values (11) 91
 
9.3%
Hangul
ValueCountFrequency (%)
북 70
 
5.8%
동 69
 
5.7%
서 67
 
5.5%
울 67
 
5.5%
특 66
 
5.5%
별 66
 
5.5%
시 66
 
5.5%
강 66
 
5.5%
구 66
 
5.5%
로 66
 
5.5%
Other values (78) 542
44.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)47.5%
Missing7
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean15499.983
Minimum1030
Maximum142878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T15:22:17.854610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1030
5-th percentile1054
Q11062
median1111
Q31170
95-th percentile142820.3
Maximum142878
Range141848
Interquartile range (IQR)108

Descriptive statistics

Standard deviation43130.59
Coefficient of variation (CV)2.7826217
Kurtosis5.5021588
Mean15499.983
Median Absolute Deviation (MAD)49
Skewness2.7049209
Sum914499
Variance1.8602478 × 109
MonotonicityNot monotonic
2024-05-11T15:22:18.078079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1062 13
19.7%
1111 7
 
10.6%
1170 5
 
7.6%
1054 5
 
7.6%
1117 2
 
3.0%
1063 2
 
3.0%
1161 2
 
3.0%
1220 2
 
3.0%
142878 2
 
3.0%
1168 1
 
1.5%
Other values (18) 18
27.3%
(Missing) 7
 
10.6%
ValueCountFrequency (%)
1030 1
 
1.5%
1038 1
 
1.5%
1054 5
 
7.6%
1062 13
19.7%
1063 2
 
3.0%
1072 1
 
1.5%
1073 1
 
1.5%
1111 7
10.6%
1117 2
 
3.0%
1118 1
 
1.5%
ValueCountFrequency (%)
142878 2
3.0%
142877 1
1.5%
142814 1
1.5%
142071 1
1.5%
142061 1
1.5%
1237 1
1.5%
1220 2
3.0%
1215 1
1.5%
1208 1
1.5%
1195 1
1.5%

사업장명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T15:22:18.523202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length7.3939394
Min length3

Characters and Unicode

Total characters488
Distinct characters138
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row(주)참스항공여행사
2nd row주식회사 아스타덤보
3rd row주식회사이에프매니아
4th row에이켐투어
5th row티피닷컴
ValueCountFrequency (%)
주식회사 7
 
9.0%
나라여행 2
 
2.6%
주)참스항공여행사 1
 
1.3%
tour 1
 
1.3%
주)에델바이스코리아트래블 1
 
1.3%
힐링투어 1
 
1.3%
오쓰몰디브 1
 
1.3%
주)아제타 1
 
1.3%
오픈플랜 1
 
1.3%
주)투어데이 1
 
1.3%
Other values (61) 61
78.2%
2024-05-11T15:22:19.226094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
7.2%
어 29
 
5.9%
( 28
 
5.7%
투 28
 
5.7%
) 28
 
5.7%
사 15
 
3.1%
12
 
2.5%
아 12
 
2.5%
이 12
 
2.5%
트 11
 
2.3%
Other values (128) 278
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
82.8%
Open Punctuation 28
 
5.7%
Close Punctuation 28
 
5.7%
Uppercase Letter 13
 
2.7%
Space Separator 12
 
2.5%
Dash Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
8.7%
어 29
 
7.2%
투 28
 
6.9%
사 15
 
3.7%
아 12
 
3.0%
이 12
 
3.0%
트 11
 
2.7%
스 11
 
2.7%
행 10
 
2.5%
여 10
 
2.5%
Other values (111) 231
57.2%
Uppercase Letter
ValueCountFrequency (%)
M 2
15.4%
D 1
7.7%
A 1
7.7%
I 1
7.7%
E 1
7.7%
F 1
7.7%
L 1
7.7%
R 1
7.7%
U 1
7.7%
O 1
7.7%
Other values (2) 2
15.4%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
82.8%
Common 71
 
14.5%
Latin 13
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
8.7%
어 29
 
7.2%
투 28
 
6.9%
사 15
 
3.7%
아 12
 
3.0%
이 12
 
3.0%
트 11
 
2.7%
스 11
 
2.7%
행 10
 
2.5%
여 10
 
2.5%
Other values (111) 231
57.2%
Latin
ValueCountFrequency (%)
M 2
15.4%
D 1
7.7%
A 1
7.7%
I 1
7.7%
E 1
7.7%
F 1
7.7%
L 1
7.7%
R 1
7.7%
U 1
7.7%
O 1
7.7%
Other values (2) 2
15.4%
Common
ValueCountFrequency (%)
( 28
39.4%
) 28
39.4%
12
16.9%
- 2
 
2.8%
& 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
82.8%
ASCII 84
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
8.7%
어 29
 
7.2%
투 28
 
6.9%
사 15
 
3.7%
아 12
 
3.0%
이 12
 
3.0%
트 11
 
2.7%
스 11
 
2.7%
행 10
 
2.5%
여 10
 
2.5%
Other values (111) 231
57.2%
ASCII
ValueCountFrequency (%)
( 28
33.3%
) 28
33.3%
12
14.3%
- 2
 
2.4%
M 2
 
2.4%
D 1
 
1.2%
A 1
 
1.2%
I 1
 
1.2%
E 1
 
1.2%
& 1
 
1.2%
Other values (7) 7
 
8.3%

최종수정일자
Date

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2007-10-30 17:07:20
Maximum2024-05-08 15:30:55
2024-05-11T15:22:19.504383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:19.798794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
U
46 
I
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 46
69.7%
I 20
30.3%

Length

2024-05-11T15:22:20.046835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:20.258019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 46
69.7%
i 20
30.3%

데이터갱신일자
Date

Distinct45
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T15:22:20.470579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:20.758198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

좌표정보(X)
Real number (ℝ)

Distinct39
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202025.17
Minimum201045.61
Maximum203077.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T15:22:21.044882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201045.61
5-th percentile201235.9
Q1201653.67
median202144.31
Q3202316.42
95-th percentile202638.25
Maximum203077.4
Range2031.7918
Interquartile range (IQR)662.75241

Descriptive statistics

Standard deviation436.25444
Coefficient of variation (CV)0.0021594063
Kurtosis-0.23178909
Mean202025.17
Median Absolute Deviation (MAD)231.70252
Skewness-0.34575226
Sum13333661
Variance190317.94
MonotonicityNot monotonic
2024-05-11T15:22:21.336842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
202155.401317068 7
 
10.6%
201505.406518175 7
 
10.6%
202376.010239172 5
 
7.6%
202228.431717714 4
 
6.1%
202032.757631932 4
 
6.1%
202443.441398401 2
 
3.0%
201996.772638212 2
 
3.0%
201808.8528379 2
 
3.0%
202625.646264572 2
 
3.0%
202317.064607714 2
 
3.0%
Other values (29) 29
43.9%
ValueCountFrequency (%)
201045.611312321 1
 
1.5%
201098.067656478 1
 
1.5%
201098.210685821 1
 
1.5%
201203.296540412 1
 
1.5%
201333.709239206 1
 
1.5%
201447.478663474 1
 
1.5%
201494.627293774 1
 
1.5%
201505.406518175 7
10.6%
201595.032733851 1
 
1.5%
201612.150473236 1
 
1.5%
ValueCountFrequency (%)
203077.403097106 1
 
1.5%
202746.888755716 1
 
1.5%
202676.491829512 1
 
1.5%
202642.446045912 1
 
1.5%
202625.646264572 2
 
3.0%
202562.189143008 1
 
1.5%
202443.441398401 2
 
3.0%
202415.34143072 1
 
1.5%
202376.010239172 5
7.6%
202317.064607714 2
 
3.0%

좌표정보(Y)
Real number (ℝ)

Distinct39
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458808.39
Minimum456377.65
Maximum460648.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T15:22:21.626050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456377.65
5-th percentile456875.97
Q1458158.11
median458926.4
Q3459411.94
95-th percentile460319.28
Maximum460648.08
Range4270.4329
Interquartile range (IQR)1253.8352

Descriptive statistics

Standard deviation1037.5155
Coefficient of variation (CV)0.0022613264
Kurtosis-0.3520936
Mean458808.39
Median Absolute Deviation (MAD)676.84325
Skewness-0.52944458
Sum30281353
Variance1076438.4
MonotonicityNot monotonic
2024-05-11T15:22:21.843436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
459411.940883021 7
 
10.6%
458926.401526974 7
 
10.6%
459778.715958017 5
 
7.6%
458158.105668456 4
 
6.1%
459259.443978524 4
 
6.1%
457708.146944977 2
 
3.0%
459341.412320599 2
 
3.0%
458703.237801243 2
 
3.0%
456875.973976242 2
 
3.0%
459590.573498344 2
 
3.0%
Other values (29) 29
43.9%
ValueCountFrequency (%)
456377.651999255 1
1.5%
456636.308192293 1
1.5%
456762.738952361 1
1.5%
456875.973976242 2
3.0%
456925.819696144 1
1.5%
457219.335594234 1
1.5%
457292.961457264 1
1.5%
457313.277082398 1
1.5%
457559.565105391 1
1.5%
457708.146944977 2
3.0%
ValueCountFrequency (%)
460648.084854345 1
 
1.5%
460572.807406865 1
 
1.5%
460569.972568202 1
 
1.5%
460324.037639614 1
 
1.5%
460304.989398105 1
 
1.5%
460153.957797598 1
 
1.5%
459778.715958017 5
7.6%
459667.553848111 1
 
1.5%
459590.573498344 2
 
3.0%
459578.520770085 1
 
1.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
41 
국내외여행업
25 

Length

Max length6
Median length4
Mean length4.7575758
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
62.1%
국내외여행업 25
37.9%

Length

2024-05-11T15:22:22.076271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:22.307756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
62.1%
국내외여행업 25
37.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
55 
관광사업
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
83.3%
관광사업 11
 
16.7%

Length

2024-05-11T15:22:22.482879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:22.667795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
83.3%
관광사업 11
 
16.7%

지역구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
63 
주거지역
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
95.5%
주거지역 3
 
4.5%

Length

2024-05-11T15:22:22.860312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:23.033477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
95.5%
주거지역 3
 
4.5%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
63 
2
 
1
6
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique3 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row6
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 63
95.5%
2 1
 
1.5%
6 1
 
1.5%
5 1
 
1.5%

Length

2024-05-11T15:22:23.227745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:23.418602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
95.5%
2 1
 
1.5%
6 1
 
1.5%
5 1
 
1.5%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing65
Missing (%)98.5%
Memory size660.0 B
2024-05-11T15:22:23.548557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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 row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T15:22:23.967809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

보험기관명
Categorical

IMBALANCE 

Distinct9
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
49 
서울보증보험
5 
서울보증보험주식회사
 
4
서울특별시관광협회
 
2
서울보증보험(30,000,000)
 
2
Other values (4)
 
4

Length

Max length18
Median length4
Mean length5.3787879
Min length4

Unique

Unique4 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
74.2%
서울보증보험 5
 
7.6%
서울보증보험주식회사 4
 
6.1%
서울특별시관광협회 2
 
3.0%
서울보증보험(30,000,000) 2
 
3.0%
서울특별시관광협회장 1
 
1.5%
서울시관광협회장 1
 
1.5%
여행공제회 1
 
1.5%
서울보증보험(3천만원) 1
 
1.5%

Length

2024-05-11T15:22:24.240941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:24.505155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
74.2%
서울보증보험 5
 
7.6%
서울보증보험주식회사 4
 
6.1%
서울특별시관광협회 2
 
3.0%
서울보증보험(30,000,000 2
 
3.0%
서울특별시관광협회장 1
 
1.5%
서울시관광협회장 1
 
1.5%
여행공제회 1
 
1.5%
서울보증보험(3천만원 1
 
1.5%

건물용도명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing62
Missing (%)93.9%
Memory size660.0 B
2024-05-11T15:22:24.807217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10.5
Mean length7.5
Min length3

Characters and Unicode

Total characters30
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row사무실
2nd row근린생활시설
3rd row근린생활시설
4th row다가구용 주택(공동주택적용)
ValueCountFrequency (%)
근린생활시설 2
40.0%
사무실 1
20.0%
다가구용 1
20.0%
주택(공동주택적용 1
20.0%
2024-05-11T15:22:25.378030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
 
6.7%
주 2
 
6.7%
생 2
 
6.7%
활 2
 
6.7%
시 2
 
6.7%
설 2
 
6.7%
린 2
 
6.7%
택 2
 
6.7%
용 2
 
6.7%
적 1
 
3.3%
Other values (11) 11
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
90.0%
Open Punctuation 1
 
3.3%
Space Separator 1
 
3.3%
Close Punctuation 1
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
 
7.4%
주 2
 
7.4%
생 2
 
7.4%
활 2
 
7.4%
시 2
 
7.4%
설 2
 
7.4%
린 2
 
7.4%
택 2
 
7.4%
용 2
 
7.4%
적 1
 
3.7%
Other values (8) 8
29.6%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
90.0%
Common 3
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
 
7.4%
주 2
 
7.4%
생 2
 
7.4%
활 2
 
7.4%
시 2
 
7.4%
설 2
 
7.4%
린 2
 
7.4%
택 2
 
7.4%
용 2
 
7.4%
적 1
 
3.7%
Other values (8) 8
29.6%
Common
ValueCountFrequency (%)
( 1
33.3%
1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
90.0%
ASCII 3
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
 
7.4%
주 2
 
7.4%
생 2
 
7.4%
활 2
 
7.4%
시 2
 
7.4%
설 2
 
7.4%
린 2
 
7.4%
택 2
 
7.4%
용 2
 
7.4%
적 1
 
3.7%
Other values (8) 8
29.6%
ASCII
ValueCountFrequency (%)
( 1
33.3%
1
33.3%
) 1
33.3%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
59 
2
 
3
4
 
2
5
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.6818182
Min length1

Unique

Unique2 ?
Unique (%)3.0%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row5
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 59
89.4%
2 3
 
4.5%
4 2
 
3.0%
5 1
 
1.5%
3 1
 
1.5%

Length

2024-05-11T15:22:25.618567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:25.807947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
89.4%
2 3
 
4.5%
4 2
 
3.0%
5 1
 
1.5%
3 1
 
1.5%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
62 
1
 
3
2
 
1

Length

Max length4
Median length4
Mean length3.8181818
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
93.9%
1 3
 
4.5%
2 1
 
1.5%

Length

2024-05-11T15:22:26.039031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:26.253254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
93.9%
1 3
 
4.5%
2 1
 
1.5%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

영문상호명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-05-11T15:22:26.476686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:26.677933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing59
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean34.055714
Minimum13.4
Maximum90.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T15:22:26.901602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.4
5-th percentile13.58
Q114.5
median20
Q342.705
95-th percentile77.959
Maximum90.58
Range77.18
Interquartile range (IQR)28.205

Descriptive statistics

Standard deviation28.28894
Coefficient of variation (CV)0.83066647
Kurtosis2.4453357
Mean34.055714
Median Absolute Deviation (MAD)6.6
Skewness1.6188103
Sum238.39
Variance800.26413
MonotonicityNot monotonic
2024-05-11T15:22:27.122318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20.0 1
 
1.5%
14.0 1
 
1.5%
36.9 1
 
1.5%
48.51 1
 
1.5%
90.58 1
 
1.5%
13.4 1
 
1.5%
15.0 1
 
1.5%
(Missing) 59
89.4%
ValueCountFrequency (%)
13.4 1
1.5%
14.0 1
1.5%
15.0 1
1.5%
20.0 1
1.5%
36.9 1
1.5%
48.51 1
1.5%
90.58 1
1.5%
ValueCountFrequency (%)
90.58 1
1.5%
48.51 1
1.5%
36.9 1
1.5%
20.0 1
1.5%
15.0 1
1.5%
14.0 1
1.5%
13.4 1
1.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

자본금
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
49 
100000000
7 
60000000
7 
84116785
 
1
66000000
 
1

Length

Max length9
Median length4
Mean length5.1363636
Min length4

Unique

Unique3 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row100000000
4th row100000000
5th row100000000

Common Values

ValueCountFrequency (%)
<NA> 49
74.2%
100000000 7
 
10.6%
60000000 7
 
10.6%
84116785 1
 
1.5%
66000000 1
 
1.5%
30000000 1
 
1.5%

Length

2024-05-11T15:22:27.389806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:27.590545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
74.2%
100000000 7
 
10.6%
60000000 7
 
10.6%
84116785 1
 
1.5%
66000000 1
 
1.5%
30000000 1
 
1.5%

보험시작일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing49
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean20144852
Minimum20050721
Maximum20200726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T15:22:27.813751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050721
5-th percentile20067109
Q120130213
median20150827
Q320161211
95-th percentile20193035
Maximum20200726
Range150005
Interquartile range (IQR)30998

Descriptive statistics

Standard deviation39169.699
Coefficient of variation (CV)0.0019444025
Kurtosis1.2927564
Mean20144852
Median Absolute Deviation (MAD)19474
Skewness-1.0197034
Sum3.4246248 × 108
Variance1.5342653 × 109
MonotonicityNot monotonic
2024-05-11T15:22:28.067638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20121220 1
 
1.5%
20191112 1
 
1.5%
20200726 1
 
1.5%
20160222 1
 
1.5%
20190615 1
 
1.5%
20170301 1
 
1.5%
20161211 1
 
1.5%
20150827 1
 
1.5%
20050721 1
 
1.5%
20140105 1
 
1.5%
Other values (7) 7
 
10.6%
(Missing) 49
74.2%
ValueCountFrequency (%)
20050721 1
1.5%
20071206 1
1.5%
20120919 1
1.5%
20121220 1
1.5%
20130213 1
1.5%
20140105 1
1.5%
20140321 1
1.5%
20150724 1
1.5%
20150827 1
1.5%
20151113 1
1.5%
ValueCountFrequency (%)
20200726 1
1.5%
20191112 1
1.5%
20190615 1
1.5%
20170301 1
1.5%
20161211 1
1.5%
20160921 1
1.5%
20160222 1
1.5%
20151113 1
1.5%
20150827 1
1.5%
20150724 1
1.5%

보험종료일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing49
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean20154258
Minimum20050721
Maximum20210725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T15:22:28.301366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050721
5-th percentile20075109
Q120140212
median20160826
Q320171210
95-th percentile20203034
Maximum20210725
Range160004
Interquartile range (IQR)30998

Descriptive statistics

Standard deviation40713.086
Coefficient of variation (CV)0.0020200737
Kurtosis1.7890747
Mean20154258
Median Absolute Deviation (MAD)19402
Skewness-1.1684157
Sum3.4262239 × 108
Variance1.6575554 × 109
MonotonicityNot monotonic
2024-05-11T15:22:28.556008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20131219 1
 
1.5%
20201111 1
 
1.5%
20210725 1
 
1.5%
20170223 1
 
1.5%
20200614 1
 
1.5%
20180228 1
 
1.5%
20171210 1
 
1.5%
20160826 1
 
1.5%
20050721 1
 
1.5%
20150104 1
 
1.5%
Other values (7) 7
 
10.6%
(Missing) 49
74.2%
ValueCountFrequency (%)
20050721 1
1.5%
20081206 1
1.5%
20130919 1
1.5%
20131219 1
1.5%
20140212 1
1.5%
20150104 1
1.5%
20150321 1
1.5%
20160723 1
1.5%
20160826 1
1.5%
20161112 1
1.5%
ValueCountFrequency (%)
20210725 1
1.5%
20201111 1
1.5%
20200614 1
1.5%
20180228 1
1.5%
20171210 1
1.5%
20170920 1
1.5%
20170223 1
1.5%
20161112 1
1.5%
20160826 1
1.5%
20160723 1
1.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing59
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean34.142857
Minimum13
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T15:22:28.808207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile13.3
Q114.5
median20
Q343
95-th percentile78.4
Maximum91
Range78
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation28.521504
Coefficient of variation (CV)0.83535786
Kurtosis2.3841574
Mean34.142857
Median Absolute Deviation (MAD)7
Skewness1.6054582
Sum239
Variance813.47619
MonotonicityNot monotonic
2024-05-11T15:22:29.020781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20 1
 
1.5%
14 1
 
1.5%
37 1
 
1.5%
49 1
 
1.5%
91 1
 
1.5%
13 1
 
1.5%
15 1
 
1.5%
(Missing) 59
89.4%
ValueCountFrequency (%)
13 1
1.5%
14 1
1.5%
15 1
1.5%
20 1
1.5%
37 1
1.5%
49 1
1.5%
91 1
1.5%
ValueCountFrequency (%)
91 1
1.5%
49 1
1.5%
37 1
1.5%
20 1
1.5%
15 1
1.5%
14 1
1.5%
13 1
1.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03080000CDFI226002199600000119961218<NA>3폐업3폐업20081119<NA><NA><NA><NA><NA>142815서울특별시 강북구 미아동 322-6번지 142동 108호서울특별시 강북구 도봉로 129, 142동 108호 (미아동)<NA>(주)참스항공여행사2008-11-21 10:08:48I2018-08-31 23:59:59.0<NA>202415.341431457559.565105국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13080000CDFI226002200100000120011112<NA>3폐업3폐업20220530<NA><NA><NA>997-4673<NA>142882서울특별시 강북구 수유동 311-4 1층서울특별시 강북구 삼양로117길 31, 1층 (수유동)1030주식회사 아스타덤보2022-05-30 17:54:55U2021-12-06 00:04:00.0<NA>201203.29654460153.957798<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23080000CDFI226002200400000120041124<NA>3폐업3폐업20070202<NA><NA><NA>02-993-6475<NA>142070서울특별시 강북구 수유동 280-53번지 1층서울특별시 강북구 삼양로131길 22 (수유동,1층)<NA>주식회사이에프매니아2007-10-30 17:07:20I2018-08-31 23:59:59.0<NA>201098.067656460572.807407국내외여행업관광사업주거지역2기타<NA><NA>사무실2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20.0<NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>20
33080000CDFI226002200500000320050719<NA>3폐업3폐업20061113<NA><NA><NA><NA><NA>142070서울특별시 강북구 수유동 279-29번지 4층서울특별시 강북구 4.19로 8-1 (수유동,4층)<NA>에이켐투어2007-10-30 17:08:07I2018-08-31 23:59:59.0<NA>201098.210686460648.084854국내외여행업관광사업<NA>6<NA><NA>서울특별시관광협회장<NA>51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14.0<NA><NA><NA><NA><NA><NA><NA><NA>1000000002005072120050721<NA>14
43080000CDFI226002200600000220061129<NA>3폐업3폐업20131217<NA><NA><NA>905-8181<NA>142878서울특별시 강북구 수유동 230-7번지 효성인텔리안 405호서울특별시 강북구 도봉로 313 (수유동)142878티피닷컴2013-12-17 14:01:40I2018-08-31 23:59:59.0<NA>201996.772638459341.412321국내외여행업관광사업<NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002012122020131219<NA><NA>
53080000CDFI226002200600000320061201<NA>3폐업3폐업20090831<NA><NA><NA><NA><NA>142879서울특별시 강북구 수유동 269-7번지 3층서울특별시 강북구 노해로23길 125 (수유동,3층)<NA>골든투어여행사2009-08-31 15:00:36I2018-08-31 23:59:59.0<NA>201447.478663460569.972568국내외여행업관광사업<NA><NA><NA><NA>서울시관광협회장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007120620081206<NA><NA>
63080000CDFI22600220070000022007-05-14<NA>1영업/정상13영업중<NA><NA><NA><NA>988-8114<NA>142-804서울특별시 강북구 미아동 35-4 트레지오빌딩 1층 24호서울특별시 강북구 도봉로 34 (미아동)1220(주)하나웰여행사2023-07-26 18:01:42U2022-12-06 22:08:00.0<NA>202642.446046456636.308192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73080000CDFI226002200900000220081117<NA>3폐업3폐업20160202<NA><NA><NA>02-996-0545<NA>142703서울특별시 강북구 번동 446-13번지 가든타워 지하120호서울특별시 강북구 도봉로 328 (번동)1062두레하나여행사2016-02-26 13:58:26I2018-08-31 23:59:59.0<NA>202155.401317459411.940883국내외여행업관광사업<NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>36.9<NA><NA><NA><NA><NA><NA><NA><NA>1000000002015072420160723<NA>37
83080000CDFI226002201000000120100430<NA>3폐업3폐업20140307<NA><NA><NA>02)992-8777<NA>142878서울특별시 강북구 수유동 191-77번지 4층서울특별시 강북구 한천로139길 41 (수유동)142878백두여행사2014-03-07 18:10:41I2018-08-31 23:59:59.0<NA>202149.963558459578.52077국내외여행업<NA><NA><NA><NA><NA>서울특별시관광협회근린생활시설4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>48.51<NA><NA><NA><NA><NA><NA><NA><NA>841167852012091920130919<NA>49
93080000CDFI226002201000000220100615<NA>3폐업3폐업20110909<NA><NA><NA>1599-2034<NA>142874서울특별시 강북구 수유동 56-92번지서울특별시 강북구 수유로 18 (수유동)<NA>원진티앤티2013-01-24 19:33:56I2018-08-31 23:59:59.0<NA>201595.032734458897.291295국내외여행업<NA>주거지역<NA><NA><NA><NA>근린생활시설<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>90.58<NA><NA><NA><NA><NA><NA><NA><NA>60000000<NA><NA><NA>91
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
563080000CDFI22600220220000042022-04-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 304-2 상아빌딩서울특별시 강북구 도봉로 191, 상아빌딩 4층 279호 (미아동)1170트래블스티커2024-04-30 11:01:31U2023-12-05 00:02:00.0<NA>202228.431718458158.105668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573080000CDFI22600220220000052021-12-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 446-13 가든타워빌딩서울특별시 강북구 도봉로 328, 가든타워빌딩 11층 1121호 (번동)1062(주)랜드투어티엔이2023-12-07 19:46:43U2022-11-02 00:09:00.0<NA>202155.401317459411.940883<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583080000CDFI22600220220000062022-06-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 446-13 가든타워빌딩서울특별시 강북구 도봉로 328, 가든타워빌딩 1121호 (번동)1062레츠고 주식회사2023-09-11 16:57:35U2022-12-08 23:03:00.0<NA>202155.401317459411.940883<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593080000CDFI22600220220000072022-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 131-6 4층 D-24호서울특별시 강북구 도봉로 144, 4 층 D-24호 (미아동)1161제제스튜디오2023-12-07 19:42:16U2022-11-02 00:09:00.0<NA>202443.441398457708.146945<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603080000CDFI22600220230000012002-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-722-8787<NA><NA>서울특별시 강북구 번동 449-1 북한산스카이빌딩 8층 R870호서울특별시 강북구 도봉로 308, 북한산스카이빌딩 8층 R870호 (번동)1062(주)리눅스투어2023-05-12 16:49:08I2022-12-04 23:04:00.0<NA>202032.757632459259.443979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613080000CDFI22600220230000022023-05-12<NA>5제외/삭제/전출15전출2024-04-16<NA><NA><NA>02-3292-6685<NA><NA>서울특별시 강북구 수유동 174-9 삼현빌딩 3층 E-13호서울특별시 강북구 도봉로 369, 삼현빌딩 3층 E-13호 (수유동)1054제이앤에스골프투어2024-04-16 17:28:26U2023-12-03 23:08:00.0<NA>202376.010239459778.715958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623080000CDFI22600220230000032023-06-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 138-17 2층 16호서울특별시 강북구 도봉로 102, 2층 16호 (미아동)1165아르뜨2023-08-23 17:48:31U2022-12-07 22:05:00.0<NA>202562.189143457313.277082<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633080000CDFI22600220230000042023-07-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 446-36 유경 와이케이라이마서울특별시 강북구 오패산로77길 16, 102호 (번동, 유경 와이케이라이마)1062(주)엔알나라투어2024-03-25 17:48:30U2023-12-02 22:07:00.0<NA>202195.564947459402.264831<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643080000CDFI22600220230000052023-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 174-9 3층 E-11호서울특별시 강북구 도봉로 369, 3층 E-11호 (수유동)1054퍼플트립2023-08-07 10:32:05U2022-12-08 00:09:00.0<NA>202376.010239459778.715958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
653080000CDFI22600220240000012008-04-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 449-1 북한산스카이빌딩서울특별시 강북구 도봉로 308, 북한산스카이빌딩 8층 R818호 (번동)1062(주)아이비즈투어2024-05-08 15:30:55I2023-12-04 23:00:00.0<NA>202032.757632459259.443979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>