Overview

Dataset statistics

Number of variables60
Number of observations50
Missing cells1578
Missing cells (%)52.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory521.6 B

Variable types

Categorical16
Text9
DateTime4
Unsupported25
Numeric6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-17561/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영문상호주소 has constant value ""Constant
인허가취소일자 is highly imbalanced (82.2%)Imbalance
총층수 is highly imbalanced (70.5%)Imbalance
건물용도명 is highly imbalanced (67.3%)Imbalance
지상층수 is highly imbalanced (70.5%)Imbalance
지하층수 is highly imbalanced (67.3%)Imbalance
시설면적 is highly imbalanced (61.1%)Imbalance
시설규모 is highly imbalanced (61.1%)Imbalance
폐업일자 has 14 (28.0%) missing valuesMissing
휴업시작일자 has 50 (100.0%) missing valuesMissing
휴업종료일자 has 50 (100.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
전화번호 has 19 (38.0%) missing valuesMissing
소재지면적 has 50 (100.0%) missing valuesMissing
소재지우편번호 has 22 (44.0%) missing valuesMissing
도로명주소 has 1 (2.0%) missing valuesMissing
도로명우편번호 has 21 (42.0%) missing valuesMissing
업태구분명 has 50 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.0%) missing valuesMissing
좌표정보(Y) has 1 (2.0%) missing valuesMissing
지역구분명 has 48 (96.0%) missing valuesMissing
주변환경명 has 50 (100.0%) missing valuesMissing
제작취급품목내용 has 50 (100.0%) missing valuesMissing
객실수 has 50 (100.0%) missing valuesMissing
건축연면적 has 50 (100.0%) missing valuesMissing
영문상호명 has 48 (96.0%) missing valuesMissing
영문상호주소 has 48 (96.0%) missing valuesMissing
선박총톤수 has 50 (100.0%) missing valuesMissing
선박척수 has 50 (100.0%) missing valuesMissing
선박제원 has 50 (100.0%) missing valuesMissing
무대면적 has 50 (100.0%) missing valuesMissing
좌석수 has 50 (100.0%) missing valuesMissing
기념품종류 has 50 (100.0%) missing valuesMissing
회의실별동시수용인원 has 50 (100.0%) missing valuesMissing
놀이기구수내역 has 50 (100.0%) missing valuesMissing
놀이시설수 has 50 (100.0%) missing valuesMissing
방송시설유무 has 50 (100.0%) missing valuesMissing
발전시설유무 has 50 (100.0%) missing valuesMissing
의무실유무 has 50 (100.0%) missing valuesMissing
안내소유무 has 50 (100.0%) missing valuesMissing
기획여행보험시작일자 has 50 (100.0%) missing valuesMissing
기획여행보험종료일자 has 50 (100.0%) missing valuesMissing
자본금 has 29 (58.0%) missing valuesMissing
보험시작일자 has 38 (76.0%) missing valuesMissing
보험종료일자 has 38 (76.0%) missing valuesMissing
부대시설내역 has 50 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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
주변환경명 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
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 05:55:42.125941
Analysis finished2024-05-11 05:55:43.132120
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3090000
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 50
100.0%

Length

2024-05-11T14:55:43.234717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:43.358532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 50
100.0%

관리번호
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T14:55:43.601853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1000
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowCDFI2260012000000002
2nd rowCDFI2260012000000004
3rd rowCDFI2260012001000001
4th rowCDFI2260012002000001
5th rowCDFI2260012002000002
ValueCountFrequency (%)
cdfi2260012000000002 1
 
2.0%
cdfi2260012017000003 1
 
2.0%
cdfi2260012022000002 1
 
2.0%
cdfi2260012013000003 1
 
2.0%
cdfi2260012013000004 1
 
2.0%
cdfi2260012013000007 1
 
2.0%
cdfi2260012014000001 1
 
2.0%
cdfi2260012014000002 1
 
2.0%
cdfi2260012015000001 1
 
2.0%
cdfi2260012015000002 1
 
2.0%
Other values (40) 40
80.0%
2024-05-11T14:55:44.116387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 428
42.8%
2 183
18.3%
1 90
 
9.0%
6 53
 
5.3%
C 50
 
5.0%
D 50
 
5.0%
F 50
 
5.0%
I 50
 
5.0%
3 16
 
1.6%
4 8
 
0.8%
Other values (4) 22
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
80.0%
Uppercase Letter 200
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 428
53.5%
2 183
22.9%
1 90
 
11.2%
6 53
 
6.6%
3 16
 
2.0%
4 8
 
1.0%
5 6
 
0.8%
7 6
 
0.8%
8 5
 
0.6%
9 5
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 50
25.0%
D 50
25.0%
F 50
25.0%
I 50
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 800
80.0%
Latin 200
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 428
53.5%
2 183
22.9%
1 90
 
11.2%
6 53
 
6.6%
3 16
 
2.0%
4 8
 
1.0%
5 6
 
0.8%
7 6
 
0.8%
8 5
 
0.6%
9 5
 
0.6%
Latin
ValueCountFrequency (%)
C 50
25.0%
D 50
25.0%
F 50
25.0%
I 50
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 428
42.8%
2 183
18.3%
1 90
 
9.0%
6 53
 
5.3%
C 50
 
5.0%
D 50
 
5.0%
F 50
 
5.0%
I 50
 
5.0%
3 16
 
1.6%
4 8
 
0.8%
Other values (4) 22
 
2.2%

인허가일자
Date

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2000-04-14 00:00:00
Maximum2023-07-03 00:00:00
2024-05-11T14:55:44.425569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:44.840259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
20140923
 
1
20190425
 
1

Length

Max length8
Median length4
Mean length4.16
Min length4

Unique

Unique2 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
96.0%
20140923 1
 
2.0%
20190425 1
 
2.0%

Length

2024-05-11T14:55:45.129465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:45.333555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
20140923 1
 
2.0%
20190425 1
 
2.0%

영업상태코드
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3
33 
1
10 
4
4 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row4
5th row1

Common Values

ValueCountFrequency (%)
3 33
66.0%
1 10
 
20.0%
4 4
 
8.0%
5 3
 
6.0%

Length

2024-05-11T14:55:45.518274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:45.699360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 33
66.0%
1 10
 
20.0%
4 4
 
8.0%
5 3
 
6.0%

영업상태명
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
폐업
33 
영업/정상
10 
취소/말소/만료/정지/중지
4 
제외/삭제/전출
 
3

Length

Max length14
Median length2
Mean length3.92
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row취소/말소/만료/정지/중지
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 33
66.0%
영업/정상 10
 
20.0%
취소/말소/만료/정지/중지 4
 
8.0%
제외/삭제/전출 3
 
6.0%

Length

2024-05-11T14:55:45.936428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:46.176627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
66.0%
영업/정상 10
 
20.0%
취소/말소/만료/정지/중지 4
 
8.0%
제외/삭제/전출 3
 
6.0%

상세영업상태코드
Categorical

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
03
33 
13
7 
31
 
3
BBBB
 
3
15
 
3

Length

Max length4
Median length2
Mean length2.12
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row03
2nd row03
3rd row03
4th row31
5th rowBBBB

Common Values

ValueCountFrequency (%)
03 33
66.0%
13 7
 
14.0%
31 3
 
6.0%
BBBB 3
 
6.0%
15 3
 
6.0%
25 1
 
2.0%

Length

2024-05-11T14:55:46.382476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:46.577719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 33
66.0%
13 7
 
14.0%
31 3
 
6.0%
bbbb 3
 
6.0%
15 3
 
6.0%
25 1
 
2.0%

상세영업상태명
Categorical

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
폐업
33 
영업중
7 
등록취소
 
3
<NA>
 
3
전출
 
3

Length

Max length4
Median length2
Mean length2.42
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 33
66.0%
영업중 7
 
14.0%
등록취소 3
 
6.0%
<NA> 3
 
6.0%
전출 3
 
6.0%
영업정지 1
 
2.0%

Length

2024-05-11T14:55:46.837107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:47.043380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
66.0%
영업중 7
 
14.0%
등록취소 3
 
6.0%
na 3
 
6.0%
전출 3
 
6.0%
영업정지 1
 
2.0%

폐업일자
Date

MISSING 

Distinct36
Distinct (%)100.0%
Missing14
Missing (%)28.0%
Memory size532.0 B
Minimum2001-03-12 00:00:00
Maximum2024-01-10 00:00:00
2024-05-11T14:55:47.255342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:47.527341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing19
Missing (%)38.0%
Memory size532.0 B
2024-05-11T14:55:47.881632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.419355
Min length8

Characters and Unicode

Total characters323
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

Unique31 ?
Unique (%)100.0%

Sample

1st row954-6626
2nd row990-8700
3rd row1544-2757
4th row994-8014
5th row951-7880
ValueCountFrequency (%)
954-6626 1
 
3.0%
02 1
 
3.0%
02-6959-3708 1
 
3.0%
02-352-7755 1
 
3.0%
02-2038-2590 1
 
3.0%
735-3535 1
 
3.0%
542-5834 1
 
3.0%
02-1599-4405 1
 
3.0%
02-991-5556 1
 
3.0%
02-992-1179 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T14:55:48.459452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
15.5%
- 48
14.9%
9 44
13.6%
2 31
9.6%
5 30
9.3%
1 23
7.1%
4 22
6.8%
7 22
6.8%
3 20
 
6.2%
8 16
 
5.0%
Other values (3) 17
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 271
83.9%
Dash Punctuation 48
 
14.9%
Space Separator 3
 
0.9%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
18.5%
9 44
16.2%
2 31
11.4%
5 30
11.1%
1 23
8.5%
4 22
8.1%
7 22
8.1%
3 20
 
7.4%
8 16
 
5.9%
6 13
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 323
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
15.5%
- 48
14.9%
9 44
13.6%
2 31
9.6%
5 30
9.3%
1 23
7.1%
4 22
6.8%
7 22
6.8%
3 20
 
6.2%
8 16
 
5.0%
Other values (3) 17
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 323
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
15.5%
- 48
14.9%
9 44
13.6%
2 31
9.6%
5 30
9.3%
1 23
7.1%
4 22
6.8%
7 22
6.8%
3 20
 
6.2%
8 16
 
5.0%
Other values (3) 17
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Text

MISSING 

Distinct22
Distinct (%)78.6%
Missing22
Missing (%)44.0%
Memory size532.0 B
2024-05-11T14:55:48.777911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1071429
Min length6

Characters and Unicode

Total characters171
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

Unique17 ?
Unique (%)60.7%

Sample

1st row132908
2nd row132924
3rd row132906
4th row132899
5th row132898
ValueCountFrequency (%)
132908 3
 
10.7%
132864 2
 
7.1%
132893 2
 
7.1%
132898 2
 
7.1%
132830 2
 
7.1%
132820 1
 
3.6%
132851 1
 
3.6%
132704 1
 
3.6%
132920 1
 
3.6%
132784 1
 
3.6%
Other values (12) 12
42.9%
2024-05-11T14:55:49.292298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 36
21.1%
1 34
19.9%
3 33
19.3%
8 23
13.5%
9 16
9.4%
0 9
 
5.3%
6 7
 
4.1%
4 5
 
2.9%
- 3
 
1.8%
5 3
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 168
98.2%
Dash Punctuation 3
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 36
21.4%
1 34
20.2%
3 33
19.6%
8 23
13.7%
9 16
9.5%
0 9
 
5.4%
6 7
 
4.2%
4 5
 
3.0%
5 3
 
1.8%
7 2
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 36
21.1%
1 34
19.9%
3 33
19.3%
8 23
13.5%
9 16
9.4%
0 9
 
5.3%
6 7
 
4.1%
4 5
 
2.9%
- 3
 
1.8%
5 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 36
21.1%
1 34
19.9%
3 33
19.3%
8 23
13.5%
9 16
9.4%
0 9
 
5.3%
6 7
 
4.1%
4 5
 
2.9%
- 3
 
1.8%
5 3
 
1.8%

지번주소
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T14:55:49.765059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31
Mean length27.24
Min length14

Characters and Unicode

Total characters1362
Distinct characters106
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

Unique48 ?
Unique (%)96.0%

Sample

1st row서울특별시 도봉구 창동 333번지 동방플라자 701호
2nd row서울특별시 도봉구 창동 655-20번지 홍일빌딩3층
3rd row서울특별시 도봉구 창동 235-1번지 6통1반 미주아파트 7동 1002호
4th row서울특별시 도봉구 창동 16-1번지 영화빌딩 805호
5th row서울특별시 도봉구 창동 9-1번지 대성빌딩 905호
ValueCountFrequency (%)
서울특별시 50
18.5%
도봉구 50
18.5%
창동 25
 
9.3%
쌍문동 11
 
4.1%
도봉동 8
 
3.0%
방학동 7
 
2.6%
3층 5
 
1.9%
2층 3
 
1.1%
101.102호 2
 
0.7%
96-4번지 2
 
0.7%
Other values (101) 107
39.6%
2024-05-11T14:55:50.443709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
17.8%
도 59
 
4.3%
봉 59
 
4.3%
동 58
 
4.3%
서 51
 
3.7%
울 50
 
3.7%
구 50
 
3.7%
시 50
 
3.7%
별 50
 
3.7%
특 50
 
3.7%
Other values (96) 643
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 780
57.3%
Decimal Number 289
 
21.2%
Space Separator 242
 
17.8%
Dash Punctuation 41
 
3.0%
Uppercase Letter 7
 
0.5%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 59
 
7.6%
봉 59
 
7.6%
동 58
 
7.4%
서 51
 
6.5%
울 50
 
6.4%
구 50
 
6.4%
시 50
 
6.4%
별 50
 
6.4%
특 50
 
6.4%
지 31
 
4.0%
Other values (75) 272
34.9%
Decimal Number
ValueCountFrequency (%)
1 49
17.0%
2 43
14.9%
3 39
13.5%
0 33
11.4%
6 32
11.1%
4 26
9.0%
9 22
7.6%
8 17
 
5.9%
5 17
 
5.9%
7 11
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
Y 1
14.3%
O 1
14.3%
S 1
14.3%
L 1
14.3%
G 1
14.3%
B 1
14.3%
D 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 780
57.3%
Common 575
42.2%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 59
 
7.6%
봉 59
 
7.6%
동 58
 
7.4%
서 51
 
6.5%
울 50
 
6.4%
구 50
 
6.4%
시 50
 
6.4%
별 50
 
6.4%
특 50
 
6.4%
지 31
 
4.0%
Other values (75) 272
34.9%
Common
ValueCountFrequency (%)
242
42.1%
1 49
 
8.5%
2 43
 
7.5%
- 41
 
7.1%
3 39
 
6.8%
0 33
 
5.7%
6 32
 
5.6%
4 26
 
4.5%
9 22
 
3.8%
8 17
 
3.0%
Other values (4) 31
 
5.4%
Latin
ValueCountFrequency (%)
Y 1
14.3%
O 1
14.3%
S 1
14.3%
L 1
14.3%
G 1
14.3%
B 1
14.3%
D 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 780
57.3%
ASCII 582
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
41.6%
1 49
 
8.4%
2 43
 
7.4%
- 41
 
7.0%
3 39
 
6.7%
0 33
 
5.7%
6 32
 
5.5%
4 26
 
4.5%
9 22
 
3.8%
8 17
 
2.9%
Other values (11) 38
 
6.5%
Hangul
ValueCountFrequency (%)
도 59
 
7.6%
봉 59
 
7.6%
동 58
 
7.4%
서 51
 
6.5%
울 50
 
6.4%
구 50
 
6.4%
시 50
 
6.4%
별 50
 
6.4%
특 50
 
6.4%
지 31
 
4.0%
Other values (75) 272
34.9%

도로명주소
Text

MISSING 

Distinct48
Distinct (%)98.0%
Missing1
Missing (%)2.0%
Memory size532.0 B
2024-05-11T14:55:50.938528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length39
Mean length34.306122
Min length25

Characters and Unicode

Total characters1681
Distinct characters120
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)95.9%

Sample

1st row서울특별시 도봉구 노해로65길 7-18 (창동,동방플라자 701호)
2nd row서울특별시 도봉구 도봉로 468 (창동,홍일빌딩3층)
3rd row서울특별시 도봉구 노해로 391 (창동,영화빌딩 805호)
4th row서울특별시 도봉구 노해로 379, 905호 (창동,대성빌딩)
5th row서울특별시 도봉구 시루봉로 149 (방학동,101.102호)
ValueCountFrequency (%)
서울특별시 49
 
15.7%
도봉구 49
 
15.7%
창동 16
 
5.1%
도봉로 7
 
2.2%
쌍문동 7
 
2.2%
3층 6
 
1.9%
도봉동 5
 
1.6%
방학동 4
 
1.3%
마들로 4
 
1.3%
덕릉로 3
 
1.0%
Other values (138) 163
52.1%
2024-05-11T14:55:51.573085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
16.7%
봉 76
 
4.5%
도 74
 
4.4%
1 62
 
3.7%
동 57
 
3.4%
, 55
 
3.3%
시 53
 
3.2%
서 50
 
3.0%
특 49
 
2.9%
별 49
 
2.9%
Other values (110) 875
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 942
56.0%
Decimal Number 283
 
16.8%
Space Separator 281
 
16.7%
Other Punctuation 58
 
3.5%
Close Punctuation 49
 
2.9%
Open Punctuation 49
 
2.9%
Dash Punctuation 10
 
0.6%
Uppercase Letter 9
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 76
 
8.1%
도 74
 
7.9%
동 57
 
6.1%
시 53
 
5.6%
서 50
 
5.3%
특 49
 
5.2%
별 49
 
5.2%
구 49
 
5.2%
울 49
 
5.2%
로 49
 
5.2%
Other values (85) 387
41.1%
Decimal Number
ValueCountFrequency (%)
1 62
21.9%
2 37
13.1%
0 34
12.0%
6 31
11.0%
3 31
11.0%
4 21
 
7.4%
7 21
 
7.4%
5 18
 
6.4%
8 15
 
5.3%
9 13
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
22.2%
D 1
11.1%
A 1
11.1%
G 1
11.1%
L 1
11.1%
S 1
11.1%
Y 1
11.1%
O 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 55
94.8%
. 2
 
3.4%
/ 1
 
1.7%
Space Separator
ValueCountFrequency (%)
281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 942
56.0%
Common 730
43.4%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 76
 
8.1%
도 74
 
7.9%
동 57
 
6.1%
시 53
 
5.6%
서 50
 
5.3%
특 49
 
5.2%
별 49
 
5.2%
구 49
 
5.2%
울 49
 
5.2%
로 49
 
5.2%
Other values (85) 387
41.1%
Common
ValueCountFrequency (%)
281
38.5%
1 62
 
8.5%
, 55
 
7.5%
) 49
 
6.7%
( 49
 
6.7%
2 37
 
5.1%
0 34
 
4.7%
6 31
 
4.2%
3 31
 
4.2%
4 21
 
2.9%
Other values (7) 80
 
11.0%
Latin
ValueCountFrequency (%)
B 2
22.2%
D 1
11.1%
A 1
11.1%
G 1
11.1%
L 1
11.1%
S 1
11.1%
Y 1
11.1%
O 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 942
56.0%
ASCII 739
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
38.0%
1 62
 
8.4%
, 55
 
7.4%
) 49
 
6.6%
( 49
 
6.6%
2 37
 
5.0%
0 34
 
4.6%
6 31
 
4.2%
3 31
 
4.2%
4 21
 
2.8%
Other values (15) 89
 
12.0%
Hangul
ValueCountFrequency (%)
봉 76
 
8.1%
도 74
 
7.9%
동 57
 
6.1%
시 53
 
5.6%
서 50
 
5.3%
특 49
 
5.2%
별 49
 
5.2%
구 49
 
5.2%
울 49
 
5.2%
로 49
 
5.2%
Other values (85) 387
41.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)96.6%
Missing21
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean19526.897
Minimum1308
Maximum132893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T14:55:51.811739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1308
5-th percentile1319.6
Q11389
median1414
Q31455
95-th percentile132832
Maximum132893
Range131585
Interquartile range (IQR)66

Descriptive statistics

Standard deviation46115.852
Coefficient of variation (CV)2.361658
Kurtosis3.123075
Mean19526.897
Median Absolute Deviation (MAD)41
Skewness2.2163219
Sum566280
Variance2.1266718 × 109
MonotonicityNot monotonic
2024-05-11T14:55:52.070142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1454 2
 
4.0%
1322 1
 
2.0%
1411 1
 
2.0%
1415 1
 
2.0%
1323 1
 
2.0%
1427 1
 
2.0%
1414 1
 
2.0%
1389 1
 
2.0%
1402 1
 
2.0%
1455 1
 
2.0%
Other values (18) 18
36.0%
(Missing) 21
42.0%
ValueCountFrequency (%)
1308 1
2.0%
1318 1
2.0%
1322 1
2.0%
1323 1
2.0%
1326 1
2.0%
1340 1
2.0%
1370 1
2.0%
1389 1
2.0%
1390 1
2.0%
1394 1
2.0%
ValueCountFrequency (%)
132893 1
2.0%
132864 1
2.0%
132784 1
2.0%
132704 1
2.0%
1487 1
2.0%
1475 1
2.0%
1458 1
2.0%
1455 1
2.0%
1454 2
4.0%
1452 1
2.0%

사업장명
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T14:55:52.460030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length13
Mean length8.86
Min length3

Characters and Unicode

Total characters443
Distinct characters142
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)96.0%

Sample

1st row주식회사 아이넷필닷컴
2nd row(주)시민관광여행사
3rd row금성관광(주)
4th row참존여행사
5th row금강교육개발원(주)
ValueCountFrequency (%)
주)지엠에이치(클럽위크엔드 2
 
3.3%
n투어 1
 
1.6%
주식회사 1
 
1.6%
아이넷필닷컴 1
 
1.6%
그린골프투어 1
 
1.6%
주)마을아카이브 1
 
1.6%
주)파노라마투어 1
 
1.6%
주)우정트레킹여행사 1
 
1.6%
주)명문에스앤에스 1
 
1.6%
구구일항공여행사 1
 
1.6%
Other values (50) 50
82.0%
2024-05-11T14:55:53.208848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 32
 
7.2%
) 32
 
7.2%
주 28
 
6.3%
행 18
 
4.1%
여 17
 
3.8%
사 17
 
3.8%
어 15
 
3.4%
투 15
 
3.4%
11
 
2.5%
이 11
 
2.5%
Other values (132) 247
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 344
77.7%
Open Punctuation 32
 
7.2%
Close Punctuation 32
 
7.2%
Lowercase Letter 19
 
4.3%
Space Separator 11
 
2.5%
Uppercase Letter 4
 
0.9%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 28
 
8.1%
행 18
 
5.2%
여 17
 
4.9%
사 17
 
4.9%
어 15
 
4.4%
투 15
 
4.4%
이 11
 
3.2%
에 11
 
3.2%
아 8
 
2.3%
스 7
 
2.0%
Other values (115) 197
57.3%
Lowercase Letter
ValueCountFrequency (%)
n 4
21.1%
e 3
15.8%
r 3
15.8%
o 2
10.5%
t 2
10.5%
c 1
 
5.3%
u 1
 
5.3%
i 1
 
5.3%
a 1
 
5.3%
g 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
T 1
25.0%
N 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
77.7%
Common 76
 
17.2%
Latin 23
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 28
 
8.1%
행 18
 
5.2%
여 17
 
4.9%
사 17
 
4.9%
어 15
 
4.4%
투 15
 
4.4%
이 11
 
3.2%
에 11
 
3.2%
아 8
 
2.3%
스 7
 
2.0%
Other values (115) 197
57.3%
Latin
ValueCountFrequency (%)
n 4
17.4%
e 3
13.0%
r 3
13.0%
o 2
8.7%
t 2
8.7%
I 2
8.7%
c 1
 
4.3%
u 1
 
4.3%
T 1
 
4.3%
N 1
 
4.3%
Other values (3) 3
13.0%
Common
ValueCountFrequency (%)
( 32
42.1%
) 32
42.1%
11
 
14.5%
. 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 344
77.7%
ASCII 99
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 32
32.3%
) 32
32.3%
11
 
11.1%
n 4
 
4.0%
e 3
 
3.0%
r 3
 
3.0%
o 2
 
2.0%
t 2
 
2.0%
I 2
 
2.0%
c 1
 
1.0%
Other values (7) 7
 
7.1%
Hangul
ValueCountFrequency (%)
주 28
 
8.1%
행 18
 
5.2%
여 17
 
4.9%
사 17
 
4.9%
어 15
 
4.4%
투 15
 
4.4%
이 11
 
3.2%
에 11
 
3.2%
아 8
 
2.3%
스 7
 
2.0%
Other values (115) 197
57.3%

최종수정일자
Date

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2003-02-06 15:09:09
Maximum2024-03-12 15:39:59
2024-05-11T14:55:53.457127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:53.700695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
U
27 
I
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 27
54.0%
I 23
46.0%

Length

2024-05-11T14:55:53.939872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:54.107192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 27
54.0%
i 23
46.0%

데이터갱신일자
Date

Distinct28
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:04:00
2024-05-11T14:55:54.275120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:54.493814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)91.8%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean203525.36
Minimum202091.29
Maximum204719.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T14:55:54.707633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202091.29
5-th percentile202462.87
Q1203043.57
median203543.44
Q3203972.64
95-th percentile204448.13
Maximum204719.28
Range2627.9867
Interquartile range (IQR)929.07868

Descriptive statistics

Standard deviation620.1007
Coefficient of variation (CV)0.0030467982
Kurtosis-0.63398288
Mean203525.36
Median Absolute Deviation (MAD)499.87579
Skewness-0.11321654
Sum9972742.7
Variance384524.88
MonotonicityNot monotonic
2024-05-11T14:55:55.342411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
202416.898467468 2
 
4.0%
202871.080504567 2
 
4.0%
203543.44188154 2
 
4.0%
202999.2675169 2
 
4.0%
203947.573077127 1
 
2.0%
203623.672680061 1
 
2.0%
203669.442663054 1
 
2.0%
203882.238752491 1
 
2.0%
203829.111902755 1
 
2.0%
203511.533290165 1
 
2.0%
Other values (35) 35
70.0%
ValueCountFrequency (%)
202091.290686356 1
2.0%
202416.898467468 2
4.0%
202531.829312848 1
2.0%
202871.080504567 2
4.0%
202934.945808725 1
2.0%
202957.570310499 1
2.0%
202966.7837047 1
2.0%
202999.2675169 2
4.0%
203034.030608567 1
2.0%
203043.566090405 1
2.0%
ValueCountFrequency (%)
204719.277363253 1
2.0%
204502.118604099 1
2.0%
204485.798796869 1
2.0%
204391.615 1
2.0%
204365.037901995 1
2.0%
204345.826664906 1
2.0%
204292.478413536 1
2.0%
204286.797406657 1
2.0%
204169.847670316 1
2.0%
204167.266663896 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)91.8%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean461491.75
Minimum459052.55
Maximum464814.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T14:55:55.557683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459052.55
5-th percentile459878.34
Q1460551.41
median461163.78
Q3462413.55
95-th percentile463863.33
Maximum464814.72
Range5762.1703
Interquartile range (IQR)1862.1436

Descriptive statistics

Standard deviation1317.3831
Coefficient of variation (CV)0.002854619
Kurtosis-0.20044991
Mean461491.75
Median Absolute Deviation (MAD)703.86837
Skewness0.65310099
Sum22613096
Variance1735498.3
MonotonicityNot monotonic
2024-05-11T14:55:55.795809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
462426.291677059 2
 
4.0%
460522.031748747 2
 
4.0%
459965.306252733 2
 
4.0%
460616.701327584 2
 
4.0%
461035.261402493 1
 
2.0%
459820.359926529 1
 
2.0%
459531.093092252 1
 
2.0%
461149.87315452 1
 
2.0%
461072.765300103 1
 
2.0%
462249.755144886 1
 
2.0%
Other values (35) 35
70.0%
ValueCountFrequency (%)
459052.547149504 1
2.0%
459531.093092252 1
2.0%
459820.359926529 1
2.0%
459965.306252733 2
4.0%
460001.081136921 1
2.0%
460224.197874758 1
2.0%
460334.485040686 1
2.0%
460365.605858665 1
2.0%
460471.409654471 1
2.0%
460522.031748747 2
4.0%
ValueCountFrequency (%)
464814.717432497 1
2.0%
463953.594076242 1
2.0%
463930.060025748 1
2.0%
463763.240794805 1
2.0%
463704.893235396 1
2.0%
463669.613174128 1
2.0%
463378.767030186 1
2.0%
463222.89517674 1
2.0%
462849.020752258 1
2.0%
462599.820725101 1
2.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
국내여행업
31 
<NA>
19 

Length

Max length5
Median length5
Mean length4.62
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 31
62.0%
<NA> 19
38.0%

Length

2024-05-11T14:55:56.024456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:56.224358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 31
62.0%
na 19
38.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
34 
관광사업
16 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
68.0%
관광사업 16
32.0%

Length

2024-05-11T14:55:56.480449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:56.711145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
68.0%
관광사업 16
32.0%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing48
Missing (%)96.0%
Memory size532.0 B
2024-05-11T14:55:56.980583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters10
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row상업지역
2nd row일반상업지역
ValueCountFrequency (%)
상업지역 1
50.0%
일반상업지역 1
50.0%
2024-05-11T14:55:57.500600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
3
1
 
1

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 3
 
6.0%
1 1
 
2.0%

Length

2024-05-11T14:55:57.706810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:57.873300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 3
 
6.0%
1 1
 
2.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

보험기관명
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
39 
서울보증보험
6 
한국관광협회중앙회 여행공제회
 
3
서울보증보험주식회사
 
2

Length

Max length15
Median length4
Mean length5.14
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
78.0%
서울보증보험 6
 
12.0%
한국관광협회중앙회 여행공제회 3
 
6.0%
서울보증보험주식회사 2
 
4.0%

Length

2024-05-11T14:55:58.044081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:58.221022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
73.6%
서울보증보험 6
 
11.3%
한국관광협회중앙회 3
 
5.7%
여행공제회 3
 
5.7%
서울보증보험주식회사 2
 
3.8%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
47 
근린생활시설
 
3

Length

Max length6
Median length4
Mean length4.12
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
94.0%
근린생활시설 3
 
6.0%

Length

2024-05-11T14:55:58.415969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:58.587202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
94.0%
근린생활시설 3
 
6.0%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
3
1
 
1

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 3
 
6.0%
1 1
 
2.0%

Length

2024-05-11T14:55:58.785241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:58.982460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 3
 
6.0%
1 1
 
2.0%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
47 
0
 
3

Length

Max length4
Median length4
Mean length3.82
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
94.0%
0 3
 
6.0%

Length

2024-05-11T14:55:59.145445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:59.273847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
94.0%
0 3
 
6.0%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing48
Missing (%)96.0%
Memory size532.0 B
2024-05-11T14:55:59.409111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11
Min length8

Characters and Unicode

Total characters22
Distinct characters15
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowKCA TOUR
2nd rowJINMYEONG TOUR
ValueCountFrequency (%)
tour 2
50.0%
kca 1
25.0%
jinmyeong 1
25.0%
2024-05-11T14:55:59.874945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 3
13.6%
2
 
9.1%
T 2
 
9.1%
U 2
 
9.1%
R 2
 
9.1%
N 2
 
9.1%
K 1
 
4.5%
C 1
 
4.5%
A 1
 
4.5%
J 1
 
4.5%
Other values (5) 5
22.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 20
90.9%
Space Separator 2
 
9.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 3
15.0%
T 2
10.0%
U 2
10.0%
R 2
10.0%
N 2
10.0%
K 1
 
5.0%
C 1
 
5.0%
A 1
 
5.0%
J 1
 
5.0%
I 1
 
5.0%
Other values (4) 4
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20
90.9%
Common 2
 
9.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 3
15.0%
T 2
10.0%
U 2
10.0%
R 2
10.0%
N 2
10.0%
K 1
 
5.0%
C 1
 
5.0%
A 1
 
5.0%
J 1
 
5.0%
I 1
 
5.0%
Other values (4) 4
20.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 3
13.6%
2
 
9.1%
T 2
 
9.1%
U 2
 
9.1%
R 2
 
9.1%
N 2
 
9.1%
K 1
 
4.5%
C 1
 
4.5%
A 1
 
4.5%
J 1
 
4.5%
Other values (5) 5
22.7%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing48
Missing (%)96.0%
Memory size532.0 B
2024-05-11T14:56:00.094001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters48
Distinct characters16
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowDOMESTIC TRAVEL BUSINESS
2nd rowDOMESTIC TRAVEL BUSINESS
ValueCountFrequency (%)
domestic 2
33.3%
travel 2
33.3%
business 2
33.3%
2024-05-11T14:56:00.462410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 8
16.7%
E 6
12.5%
T 4
 
8.3%
I 4
 
8.3%
4
 
8.3%
D 2
 
4.2%
O 2
 
4.2%
M 2
 
4.2%
C 2
 
4.2%
R 2
 
4.2%
Other values (6) 12
25.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 44
91.7%
Space Separator 4
 
8.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 8
18.2%
E 6
13.6%
T 4
 
9.1%
I 4
 
9.1%
D 2
 
4.5%
O 2
 
4.5%
M 2
 
4.5%
C 2
 
4.5%
R 2
 
4.5%
A 2
 
4.5%
Other values (5) 10
22.7%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44
91.7%
Common 4
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 8
18.2%
E 6
13.6%
T 4
 
9.1%
I 4
 
9.1%
D 2
 
4.5%
O 2
 
4.5%
M 2
 
4.5%
C 2
 
4.5%
R 2
 
4.5%
A 2
 
4.5%
Other values (5) 10
22.7%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 8
16.7%
E 6
12.5%
T 4
 
8.3%
I 4
 
8.3%
4
 
8.3%
D 2
 
4.2%
O 2
 
4.2%
M 2
 
4.2%
C 2
 
4.2%
R 2
 
4.2%
Other values (6) 12
25.0%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

시설면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
43 
0.0
 
4
40.0
 
2
25.87
 
1

Length

Max length5
Median length4
Mean length3.94
Min length3

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0.0
4th row<NA>
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 43
86.0%
0.0 4
 
8.0%
40.0 2
 
4.0%
25.87 1
 
2.0%

Length

2024-05-11T14:56:00.692835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:00.868702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
86.0%
0.0 4
 
8.0%
40.0 2
 
4.0%
25.87 1
 
2.0%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

자본금
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)38.1%
Missing29
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean1.0320595 × 108
Minimum30000000
Maximum5.47 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T14:56:01.044932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000000
5-th percentile30000000
Q150000000
median50000000
Q31.5 × 108
95-th percentile3 × 108
Maximum5.47 × 108
Range5.17 × 108
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.2111897 × 108
Coefficient of variation (CV)1.1735657
Kurtosis9.2026168
Mean1.0320595 × 108
Median Absolute Deviation (MAD)20000000
Skewness2.8748288
Sum2.167325 × 109
Variance1.4669805 × 1016
MonotonicityNot monotonic
2024-05-11T14:56:01.221784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
50000000 8
 
16.0%
150000000 4
 
8.0%
30000000 4
 
8.0%
547000000 1
 
2.0%
59300000 1
 
2.0%
50420000 1
 
2.0%
90605000 1
 
2.0%
300000000 1
 
2.0%
(Missing) 29
58.0%
ValueCountFrequency (%)
30000000 4
8.0%
50000000 8
16.0%
50420000 1
 
2.0%
59300000 1
 
2.0%
90605000 1
 
2.0%
150000000 4
8.0%
300000000 1
 
2.0%
547000000 1
 
2.0%
ValueCountFrequency (%)
547000000 1
 
2.0%
300000000 1
 
2.0%
150000000 4
8.0%
90605000 1
 
2.0%
59300000 1
 
2.0%
50420000 1
 
2.0%
50000000 8
16.0%
30000000 4
8.0%

보험시작일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing38
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean20152256
Minimum20071019
Maximum20200306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T14:56:01.413701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071019
5-th percentile20076344
Q120120572
median20175659
Q320190468
95-th percentile20200196
Maximum20200306
Range129287
Interquartile range (IQR)69896.25

Descriptive statistics

Standard deviation49149.991
Coefficient of variation (CV)0.0024389324
Kurtosis-1.270416
Mean20152256
Median Absolute Deviation (MAD)24547
Skewness-0.67751406
Sum2.4182708 × 108
Variance2.4157216 × 109
MonotonicityNot monotonic
2024-05-11T14:56:01.606623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20071019 1
 
2.0%
20090722 1
 
2.0%
20170113 1
 
2.0%
20080701 1
 
2.0%
20190919 1
 
2.0%
20190318 1
 
2.0%
20130522 1
 
2.0%
20130930 1
 
2.0%
20200106 1
 
2.0%
20181205 1
 
2.0%
Other values (2) 2
 
4.0%
(Missing) 38
76.0%
ValueCountFrequency (%)
20071019 1
2.0%
20080701 1
2.0%
20090722 1
2.0%
20130522 1
2.0%
20130930 1
2.0%
20170113 1
2.0%
20181205 1
2.0%
20190215 1
2.0%
20190318 1
2.0%
20190919 1
2.0%
ValueCountFrequency (%)
20200306 1
2.0%
20200106 1
2.0%
20190919 1
2.0%
20190318 1
2.0%
20190215 1
2.0%
20181205 1
2.0%
20170113 1
2.0%
20130930 1
2.0%
20130522 1
2.0%
20090722 1
2.0%

보험종료일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing38
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean20162250
Minimum20081018
Maximum20210305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T14:56:01.834183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081018
5-th percentile20086305
Q120130572
median20185658
Q320200467
95-th percentile20210195
Maximum20210305
Range129287
Interquartile range (IQR)69895.25

Descriptive statistics

Standard deviation49159.098
Coefficient of variation (CV)0.0024381752
Kurtosis-1.2701559
Mean20162250
Median Absolute Deviation (MAD)24546.5
Skewness-0.67770927
Sum2.41947 × 108
Variance2.4166169 × 109
MonotonicityNot monotonic
2024-05-11T14:56:02.039222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20081018 1
 
2.0%
20100722 1
 
2.0%
20180113 1
 
2.0%
20090630 1
 
2.0%
20200918 1
 
2.0%
20200317 1
 
2.0%
20140522 1
 
2.0%
20140930 1
 
2.0%
20210105 1
 
2.0%
20191204 1
 
2.0%
Other values (2) 2
 
4.0%
(Missing) 38
76.0%
ValueCountFrequency (%)
20081018 1
2.0%
20090630 1
2.0%
20100722 1
2.0%
20140522 1
2.0%
20140930 1
2.0%
20180113 1
2.0%
20191204 1
2.0%
20200214 1
2.0%
20200317 1
2.0%
20200918 1
2.0%
ValueCountFrequency (%)
20210305 1
2.0%
20210105 1
2.0%
20200918 1
2.0%
20200317 1
2.0%
20200214 1
2.0%
20191204 1
2.0%
20180113 1
2.0%
20140930 1
2.0%
20140522 1
2.0%
20100722 1
2.0%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

시설규모
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
43 
0
 
4
40
 
2
26
 
1

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
86.0%
0 4
 
8.0%
40 2
 
4.0%
26 1
 
2.0%

Length

2024-05-11T14:56:02.301139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:02.518210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
86.0%
0 4
 
8.0%
40 2
 
4.0%
26 1
 
2.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03090000CDFI226001200000000220000414<NA>3폐업03폐업20021014<NA><NA><NA><NA><NA>132908서울특별시 도봉구 창동 333번지 동방플라자 701호서울특별시 도봉구 노해로65길 7-18 (창동,동방플라자 701호)<NA>주식회사 아이넷필닷컴2003-03-17 14:07:37I2018-08-31 23:59:59.0<NA>203947.573077461035.261402국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13090000CDFI226001200000000420000428<NA>3폐업03폐업20020325<NA><NA><NA><NA><NA>132924서울특별시 도봉구 창동 655-20번지 홍일빌딩3층서울특별시 도봉구 도봉로 468 (창동,홍일빌딩3층)<NA>(주)시민관광여행사2003-03-17 14:08:59I2018-08-31 23:59:59.0<NA>202966.783705460551.406386국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23090000CDFI226001200100000120010115<NA>3폐업03폐업20010312<NA><NA><NA><NA><NA>132906서울특별시 도봉구 창동 235-1번지 6통1반 미주아파트 7동 1002호<NA><NA>금성관광(주)2003-02-06 15:09:09I2018-08-31 23:59:59.0<NA><NA><NA>국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
33090000CDFI226001200200000120020111<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>132899서울특별시 도봉구 창동 16-1번지 영화빌딩 805호서울특별시 도봉구 노해로 391 (창동,영화빌딩 805호)<NA>참존여행사2008-10-27 17:06:07I2018-08-31 23:59:59.0<NA>204485.798797461163.779496국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43090000CDFI226001200200000220020509<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA>132898서울특별시 도봉구 창동 9-1번지 대성빌딩 905호서울특별시 도봉구 노해로 379, 905호 (창동,대성빌딩)<NA>금강교육개발원(주)2003-02-06 15:10:50I2018-08-31 23:59:59.0<NA>204365.037902461125.753927국내여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
53090000CDFI226001200200000420020916<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA>132830서울특별시 도봉구 방학동 307-2번지 101.102호서울특별시 도봉구 시루봉로 149 (방학동,101.102호)<NA>(주)지엠에이치(클럽위크엔드)2003-02-06 15:10:50I2018-08-31 23:59:59.0<NA>202416.898467462426.291677국내여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63090000CDFI226001200200000520020916<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA>132830서울특별시 도봉구 방학동 307-2번지 101.102호서울특별시 도봉구 시루봉로 149 (방학동,101.102호)<NA>지엠에이치(클럽위크엔드)2003-02-06 15:10:50I2018-08-31 23:59:59.0<NA>202416.898467462426.291677국내여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
73090000CDFI226001200200000720020916<NA>3폐업03폐업20030513<NA><NA><NA>954-6626<NA>132851서울특별시 도봉구 방학동 694-23번지 2층서울특별시 도봉구 방학로6길 29 (방학동,2층)<NA>(주)지엠에이치(클럽위크엔드)2003-05-14 17:38:47I2018-08-31 23:59:59.0<NA>203169.235462413.55국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83090000CDFI226001200300000220031105<NA>3폐업03폐업20061207<NA><NA><NA><NA><NA>132864서울특별시 도봉구 쌍문동 96-4번지 원형빌딩 503호서울특별시 도봉구 도봉로 461 (쌍문동,원형빌딩 503호)<NA>(주)그림같은여행사2006-12-07 18:17:15I2018-08-31 23:59:59.0<NA>202871.080505460522.031749국내여행업관광사업상업지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA><NA><NA><NA>
93090000CDFI22600120050000012005-05-03<NA>3폐업03폐업2011-07-07<NA><NA><NA>990-8700<NA>132-912서울특별시 도봉구 창동 442-44 관동빌딩 3층서울특별시 도봉구 덕릉로 277-1 (창동,관동빌딩 3층)<NA>(주)테마앤조이 에듀테인먼트2024-03-12 15:39:59U2023-12-02 23:04:00.0<NA>203543.441882459965.306253<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
403090000CDFI226001201900000220190218<NA>3폐업03폐업20220115<NA><NA><NA>02-1599-4405<NA><NA>서울특별시 도봉구 쌍문동 363-6 양지파크빌서울특별시 도봉구 우이천로 357, 503호 (쌍문동, 양지파크빌)1370북부하나여행사2022-02-15 10:33:06U2022-02-17 02:40:00.0<NA>202091.290686460604.0777국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020030620210305<NA><NA>
413090000CDFI226001201900000320130507<NA>3폐업03폐업20221230<NA><NA><NA>542-5834<NA><NA>서울특별시 도봉구 창동 655-28 보성오피스텔서울특별시 도봉구 도봉로110나길 5, 보성오피스텔 406호 (창동)1455(주)디에이투어2022-12-30 15:44:53U2022-12-01 00:01:00.0<NA>202957.57031460471.409654<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423090000CDFI22600120200000012019-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 296-38서울특별시 도봉구 해등로 120-4, 1층 (창동)1402(주)도담투어2023-07-21 17:27:20U2022-12-06 22:03:00.0<NA>203569.92423461317.249802<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433090000CDFI226001202000000220200518<NA>3폐업03폐업20221207<NA><NA><NA>735-3535<NA><NA>서울특별시 도봉구 방학동 741서울특별시 도봉구 도당로 32, 성진파크뷰아파트 상가2호 (방학동)1389정트래블2022-12-07 14:36:27U2021-11-02 00:09:00.0<NA>203043.56609462059.443903<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443090000CDFI226001202000000320181220<NA>3폐업03폐업20220803<NA><NA><NA>02-2038-2590<NA><NA>서울특별시 도봉구 창동 9서울특별시 도봉구 노해로67길 2, 한국빌딩 지하2층 A-28호 (창동)1414위드트립2022-08-04 18:01:48U2021-12-08 00:07:00.0<NA>204345.826665461119.95769<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453090000CDFI22600120200000042010-02-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-352-7755<NA><NA>서울특별시 도봉구 창동 307-2 창동1단지주공아파트 종합상가 2층 207호서울특별시 도봉구 해등로 109, 창동1단지주공아파트 종합상가 2층 207호 (창동)1427에스에스여행사2024-01-25 14:47:19U2023-11-30 22:07:00.0<NA>203531.458111461213.989557<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463090000CDFI22600120210000012014-01-03<NA>3폐업03폐업2023-02-01<NA><NA><NA>02-6959-3708<NA><NA>서울특별시 도봉구 도봉동 629-6 한밭법조타워 지하109호서울특별시 도봉구 마들로 760, 한밭법조타워 지하109호 (도봉동)1323(주)해동투어2023-02-02 18:12:39U2022-12-02 00:04:00.0<NA>204286.797407463930.060026<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473090000CDFI226001202200000120170328<NA>3폐업03폐업20221212<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 659-29 삼성쉐르빌퍼스티 422호서울특별시 도봉구 도봉로 476, 삼성쉐르빌퍼스티 422호 (창동)1454(주)짱투어2022-12-12 18:06:01U2021-11-01 23:04:00.0<NA>202999.267517460616.701328<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483090000CDFI22600120220000022022-07-07<NA>5제외/삭제/전출15전출2023-03-09<NA><NA><NA>070-5067-3833<NA><NA>서울특별시 도봉구 창동 14-4 동산빌딩 303호서울특별시 도봉구 마들로11길 25, 동산빌딩 3층 303호 (창동)1415그린골프투어2023-03-09 16:59:33U2022-12-02 23:01:00.0<NA>204502.118604461278.39108<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493090000CDFI22600120230000012023-07-03<NA>5제외/삭제/전출15전출2024-01-10<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 1-8 창동 아우르네 힘나사무실서울특별시 도봉구 마들로13길 84, 창동 아우르네 1층 (창동)1411세대공감투어 주식회사(Intergeneration Tour Inc.)2024-01-10 15:13:16U2023-11-30 23:02:00.0<NA>204167.266664461439.392578<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>