Overview

Dataset statistics

Number of variables60
Number of observations55
Missing cells1433
Missing cells (%)43.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.1 KiB
Average record size in memory523.4 B

Variable types

Categorical22
Text9
DateTime4
Unsupported22
Numeric3

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17167/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험기관명 has constant value ""Constant
문화사업자구분명 is highly imbalanced (50.3%)Imbalance
총층수 is highly imbalanced (62.4%)Imbalance
지상층수 is highly imbalanced (62.4%)Imbalance
지하층수 is highly imbalanced (62.4%)Imbalance
객실수 is highly imbalanced (62.4%)Imbalance
건축연면적 is highly imbalanced (62.4%)Imbalance
선박총톤수 is highly imbalanced (62.4%)Imbalance
선박척수 is highly imbalanced (62.4%)Imbalance
무대면적 is highly imbalanced (62.4%)Imbalance
좌석수 is highly imbalanced (62.4%)Imbalance
회의실별동시수용인원 is highly imbalanced (62.4%)Imbalance
시설면적 is highly imbalanced (68.3%)Imbalance
놀이시설수 is highly imbalanced (62.4%)Imbalance
시설규모 is highly imbalanced (68.3%)Imbalance
인허가취소일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 41 (74.5%) missing valuesMissing
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
전화번호 has 17 (30.9%) missing valuesMissing
소재지면적 has 55 (100.0%) missing valuesMissing
소재지우편번호 has 44 (80.0%) missing valuesMissing
도로명우편번호 has 6 (10.9%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
지역구분명 has 55 (100.0%) missing valuesMissing
주변환경명 has 55 (100.0%) missing valuesMissing
제작취급품목내용 has 55 (100.0%) missing valuesMissing
보험기관명 has 54 (98.2%) missing valuesMissing
건물용도명 has 55 (100.0%) missing valuesMissing
영문상호명 has 32 (58.2%) missing valuesMissing
선박제원 has 55 (100.0%) missing valuesMissing
기념품종류 has 55 (100.0%) missing valuesMissing
놀이기구수내역 has 55 (100.0%) missing valuesMissing
방송시설유무 has 55 (100.0%) missing valuesMissing
발전시설유무 has 55 (100.0%) missing valuesMissing
의무실유무 has 55 (100.0%) missing valuesMissing
안내소유무 has 55 (100.0%) missing valuesMissing
기획여행보험시작일자 has 55 (100.0%) missing valuesMissing
기획여행보험종료일자 has 55 (100.0%) missing valuesMissing
자본금 has 29 (52.7%) missing valuesMissing
보험시작일자 has 55 (100.0%) missing valuesMissing
보험종료일자 has 55 (100.0%) missing valuesMissing
부대시설내역 has 55 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 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
지역구분명 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
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:46:46.832973
Analysis finished2024-04-06 12:46:48.493755
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
3000000
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 55
100.0%

Length

2024-04-06T21:46:48.667009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:48.884164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-06T21:46:49.207383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1100
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

Unique55 ?
Unique (%)100.0%

Sample

1st rowCDFI2263101989000001
2nd rowCDFI2263101991000001
3rd rowCDFI2263101994000001
4th rowCDFI2263101996000001
5th rowCDFI2263102002000001
ValueCountFrequency (%)
cdfi2263101989000001 1
 
1.8%
cdfi2263102019000001 1
 
1.8%
cdfi2263102019000003 1
 
1.8%
cdfi2263102019000004 1
 
1.8%
cdfi2263102020000002 1
 
1.8%
cdfi2263102020000003 1
 
1.8%
cdfi2263102020000004 1
 
1.8%
cdfi2263102020000005 1
 
1.8%
cdfi2263102020000006 1
 
1.8%
cdfi2263102020000007 1
 
1.8%
Other values (45) 45
81.8%
2024-04-06T21:46:49.972515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 395
35.9%
2 205
18.6%
1 97
 
8.8%
3 75
 
6.8%
6 62
 
5.6%
C 55
 
5.0%
D 55
 
5.0%
F 55
 
5.0%
I 55
 
5.0%
9 13
 
1.2%
Other values (4) 33
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
80.0%
Uppercase Letter 220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 395
44.9%
2 205
23.3%
1 97
 
11.0%
3 75
 
8.5%
6 62
 
7.0%
9 13
 
1.5%
4 11
 
1.2%
5 10
 
1.1%
7 8
 
0.9%
8 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 55
25.0%
D 55
25.0%
F 55
25.0%
I 55
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 880
80.0%
Latin 220
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 395
44.9%
2 205
23.3%
1 97
 
11.0%
3 75
 
8.5%
6 62
 
7.0%
9 13
 
1.5%
4 11
 
1.2%
5 10
 
1.1%
7 8
 
0.9%
8 4
 
0.5%
Latin
ValueCountFrequency (%)
C 55
25.0%
D 55
25.0%
F 55
25.0%
I 55
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 395
35.9%
2 205
18.6%
1 97
 
8.8%
3 75
 
6.8%
6 62
 
5.6%
C 55
 
5.0%
D 55
 
5.0%
F 55
 
5.0%
I 55
 
5.0%
9 13
 
1.2%
Other values (4) 33
 
3.0%

인허가일자
Date

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum1989-09-07 00:00:00
Maximum2023-08-03 00:00:00
2024-04-06T21:46:50.443733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:46:50.753702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
41 
5
8 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 41
74.5%
5 8
 
14.5%
3 6
 
10.9%

Length

2024-04-06T21:46:51.024842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:51.220137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
74.5%
5 8
 
14.5%
3 6
 
10.9%

영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업/정상
41 
제외/삭제/전출
8 
폐업
6 

Length

Max length8
Median length5
Mean length5.1090909
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 41
74.5%
제외/삭제/전출 8
 
14.5%
폐업 6
 
10.9%

Length

2024-04-06T21:46:51.420289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:51.629218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 41
74.5%
제외/삭제/전출 8
 
14.5%
폐업 6
 
10.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
13
41 
15
8 
3
6 

Length

Max length2
Median length2
Mean length1.8909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 41
74.5%
15 8
 
14.5%
3 6
 
10.9%

Length

2024-04-06T21:46:51.890482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:52.100939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 41
74.5%
15 8
 
14.5%
3 6
 
10.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업중
41 
전출
8 
폐업
6 

Length

Max length3
Median length3
Mean length2.7454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 41
74.5%
전출 8
 
14.5%
폐업 6
 
10.9%

Length

2024-04-06T21:46:52.301507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:52.529052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 41
74.5%
전출 8
 
14.5%
폐업 6
 
10.9%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing41
Missing (%)74.5%
Memory size572.0 B
Minimum2005-10-21 00:00:00
Maximum2024-02-21 00:00:00
2024-04-06T21:46:52.698339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:46:52.925706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전화번호
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing17
Missing (%)30.9%
Memory size572.0 B
2024-04-06T21:46:53.349883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.157895
Min length8

Characters and Unicode

Total characters424
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row3701-4646
2nd row733-0011
3rd row3702-0120
4th row735-8500
5th row02-734-6513
ValueCountFrequency (%)
02 2
 
4.9%
02-2115-7702 1
 
2.4%
3701-4646 1
 
2.4%
02-2039-8822 1
 
2.4%
0220726300 1
 
2.4%
02-359-3994 1
 
2.4%
02-2020-0468 1
 
2.4%
02-6262-2985 1
 
2.4%
02-744-7696 1
 
2.4%
02-722-7978 1
 
2.4%
Other values (30) 30
73.2%
2024-04-06T21:46:54.009168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 81
19.1%
2 73
17.2%
- 60
14.2%
7 50
11.8%
3 31
 
7.3%
6 25
 
5.9%
1 23
 
5.4%
8 22
 
5.2%
4 21
 
5.0%
9 17
 
4.0%
Other values (2) 21
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 359
84.7%
Dash Punctuation 60
 
14.2%
Space Separator 5
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 81
22.6%
2 73
20.3%
7 50
13.9%
3 31
 
8.6%
6 25
 
7.0%
1 23
 
6.4%
8 22
 
6.1%
4 21
 
5.8%
9 17
 
4.7%
5 16
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 424
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 81
19.1%
2 73
17.2%
- 60
14.2%
7 50
11.8%
3 31
 
7.3%
6 25
 
5.9%
1 23
 
5.4%
8 22
 
5.2%
4 21
 
5.0%
9 17
 
4.0%
Other values (2) 21
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 424
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 81
19.1%
2 73
17.2%
- 60
14.2%
7 50
11.8%
3 31
 
7.3%
6 25
 
5.9%
1 23
 
5.4%
8 22
 
5.2%
4 21
 
5.0%
9 17
 
4.0%
Other values (2) 21
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지우편번호
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing44
Missing (%)80.0%
Memory size572.0 B
2024-04-06T21:46:54.271847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1818182
Min length6

Characters and Unicode

Total characters68
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

Unique9 ?
Unique (%)81.8%

Sample

1st row110778
2nd row110310
3rd row110150
4th row110450
5th row110-052
ValueCountFrequency (%)
110310 2
18.2%
110778 1
9.1%
110150 1
9.1%
110450 1
9.1%
110-052 1
9.1%
110-719 1
9.1%
110320 1
9.1%
110722 1
9.1%
110872 1
9.1%
110806 1
9.1%
2024-04-06T21:46:54.929621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 26
38.2%
0 18
26.5%
7 5
 
7.4%
2 5
 
7.4%
3 3
 
4.4%
8 3
 
4.4%
5 3
 
4.4%
- 2
 
2.9%
4 1
 
1.5%
9 1
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
97.1%
Dash Punctuation 2
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
39.4%
0 18
27.3%
7 5
 
7.6%
2 5
 
7.6%
3 3
 
4.5%
8 3
 
4.5%
5 3
 
4.5%
4 1
 
1.5%
9 1
 
1.5%
6 1
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 26
38.2%
0 18
26.5%
7 5
 
7.4%
2 5
 
7.4%
3 3
 
4.4%
8 3
 
4.4%
5 3
 
4.4%
- 2
 
2.9%
4 1
 
1.5%
9 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 26
38.2%
0 18
26.5%
7 5
 
7.4%
2 5
 
7.4%
3 3
 
4.4%
8 3
 
4.4%
5 3
 
4.4%
- 2
 
2.9%
4 1
 
1.5%
9 1
 
1.5%

지번주소
Text

Distinct52
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-06T21:46:55.514522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length25.672727
Min length15

Characters and Unicode

Total characters1412
Distinct characters135
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

Unique49 ?
Unique (%)89.1%

Sample

1st row서울특별시 종로구 인사동 194-27 태화빌딩10층
2nd row서울특별시 종로구 경운동 91-1 서원빌딩9층
3rd row서울특별시 종로구 중학동 14
4th row서울특별시 종로구 원남동 150-2 용문빌딩3층
5th row서울특별시 종로구 세종로 211 광화문빌딩
ValueCountFrequency (%)
서울특별시 55
 
19.3%
종로구 55
 
19.3%
신문로1가 9
 
3.2%
163 5
 
1.8%
종로1가 4
 
1.4%
서린동 4
 
1.4%
광화문오피시아빌딩 4
 
1.4%
운니동 3
 
1.1%
1 3
 
1.1%
24 3
 
1.1%
Other values (119) 140
49.1%
2024-04-06T21:46:56.424438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
17.7%
1 83
 
5.9%
로 75
 
5.3%
종 64
 
4.5%
서 63
 
4.5%
시 60
 
4.2%
특 55
 
3.9%
별 55
 
3.9%
구 55
 
3.9%
울 55
 
3.9%
Other values (125) 597
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 861
61.0%
Space Separator 250
 
17.7%
Decimal Number 249
 
17.6%
Dash Punctuation 27
 
1.9%
Uppercase Letter 21
 
1.5%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 75
 
8.7%
종 64
 
7.4%
서 63
 
7.3%
시 60
 
7.0%
특 55
 
6.4%
별 55
 
6.4%
구 55
 
6.4%
울 55
 
6.4%
동 39
 
4.5%
빌 26
 
3.0%
Other values (99) 314
36.5%
Uppercase Letter
ValueCountFrequency (%)
N 4
19.0%
D 4
19.0%
A 2
9.5%
O 2
9.5%
K 2
9.5%
G 2
9.5%
E 1
 
4.8%
W 1
 
4.8%
T 1
 
4.8%
I 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 83
33.3%
2 26
 
10.4%
8 24
 
9.6%
5 20
 
8.0%
4 20
 
8.0%
0 17
 
6.8%
9 16
 
6.4%
3 15
 
6.0%
6 15
 
6.0%
7 13
 
5.2%
Space Separator
ValueCountFrequency (%)
250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 861
61.0%
Common 530
37.5%
Latin 21
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 75
 
8.7%
종 64
 
7.4%
서 63
 
7.3%
시 60
 
7.0%
특 55
 
6.4%
별 55
 
6.4%
구 55
 
6.4%
울 55
 
6.4%
동 39
 
4.5%
빌 26
 
3.0%
Other values (99) 314
36.5%
Common
ValueCountFrequency (%)
250
47.2%
1 83
 
15.7%
- 27
 
5.1%
2 26
 
4.9%
8 24
 
4.5%
5 20
 
3.8%
4 20
 
3.8%
0 17
 
3.2%
9 16
 
3.0%
3 15
 
2.8%
Other values (5) 32
 
6.0%
Latin
ValueCountFrequency (%)
N 4
19.0%
D 4
19.0%
A 2
9.5%
O 2
9.5%
K 2
9.5%
G 2
9.5%
E 1
 
4.8%
W 1
 
4.8%
T 1
 
4.8%
I 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 861
61.0%
ASCII 551
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
45.4%
1 83
 
15.1%
- 27
 
4.9%
2 26
 
4.7%
8 24
 
4.4%
5 20
 
3.6%
4 20
 
3.6%
0 17
 
3.1%
9 16
 
2.9%
3 15
 
2.7%
Other values (16) 53
 
9.6%
Hangul
ValueCountFrequency (%)
로 75
 
8.7%
종 64
 
7.4%
서 63
 
7.3%
시 60
 
7.0%
특 55
 
6.4%
별 55
 
6.4%
구 55
 
6.4%
울 55
 
6.4%
동 39
 
4.5%
빌 26
 
3.0%
Other values (99) 314
36.5%

도로명주소
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-06T21:46:57.015405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length34.327273
Min length22

Characters and Unicode

Total characters1888
Distinct characters142
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

Unique55 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 인사동5길 29 (인사동,태화빌딩10층)
2nd row서울특별시 종로구 삼일대로 469 (경운동,서원빌딩9층)
3rd row서울특별시 종로구 율곡로 6 (중학동)
4th row서울특별시 종로구 율곡로 154 (원남동,용문빌딩3층)
5th row서울특별시 종로구 세종대로 149, 광화문빌딩 5층 (세종로)
ValueCountFrequency (%)
서울특별시 55
 
15.2%
종로구 55
 
15.2%
신문로1가 9
 
2.5%
율곡로 9
 
2.5%
새문안로 7
 
1.9%
종로 6
 
1.7%
92 5
 
1.4%
광화문오피시아빌딩 4
 
1.1%
서린동 4
 
1.1%
4층 4
 
1.1%
Other values (160) 204
56.4%
2024-04-06T21:46:57.791655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
 
16.4%
로 122
 
6.5%
종 74
 
3.9%
1 73
 
3.9%
서 63
 
3.3%
시 60
 
3.2%
, 59
 
3.1%
별 56
 
3.0%
) 56
 
3.0%
( 56
 
3.0%
Other values (132) 959
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1107
58.6%
Space Separator 310
 
16.4%
Decimal Number 275
 
14.6%
Other Punctuation 61
 
3.2%
Close Punctuation 56
 
3.0%
Open Punctuation 56
 
3.0%
Uppercase Letter 13
 
0.7%
Dash Punctuation 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 122
 
11.0%
종 74
 
6.7%
서 63
 
5.7%
시 60
 
5.4%
별 56
 
5.1%
구 55
 
5.0%
울 55
 
5.0%
특 55
 
5.0%
동 46
 
4.2%
문 30
 
2.7%
Other values (110) 491
44.4%
Decimal Number
ValueCountFrequency (%)
1 73
26.5%
2 33
12.0%
3 27
 
9.8%
4 24
 
8.7%
9 24
 
8.7%
0 23
 
8.4%
5 20
 
7.3%
8 18
 
6.5%
6 18
 
6.5%
7 15
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
D 4
30.8%
G 2
15.4%
N 2
15.4%
A 2
15.4%
K 2
15.4%
B 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 59
96.7%
. 2
 
3.3%
Space Separator
ValueCountFrequency (%)
310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1107
58.6%
Common 768
40.7%
Latin 13
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 122
 
11.0%
종 74
 
6.7%
서 63
 
5.7%
시 60
 
5.4%
별 56
 
5.1%
구 55
 
5.0%
울 55
 
5.0%
특 55
 
5.0%
동 46
 
4.2%
문 30
 
2.7%
Other values (110) 491
44.4%
Common
ValueCountFrequency (%)
310
40.4%
1 73
 
9.5%
, 59
 
7.7%
) 56
 
7.3%
( 56
 
7.3%
2 33
 
4.3%
3 27
 
3.5%
4 24
 
3.1%
9 24
 
3.1%
0 23
 
3.0%
Other values (6) 83
 
10.8%
Latin
ValueCountFrequency (%)
D 4
30.8%
G 2
15.4%
N 2
15.4%
A 2
15.4%
K 2
15.4%
B 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1107
58.6%
ASCII 781
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
39.7%
1 73
 
9.3%
, 59
 
7.6%
) 56
 
7.2%
( 56
 
7.2%
2 33
 
4.2%
3 27
 
3.5%
4 24
 
3.1%
9 24
 
3.1%
0 23
 
2.9%
Other values (12) 96
 
12.3%
Hangul
ValueCountFrequency (%)
로 122
 
11.0%
종 74
 
6.7%
서 63
 
5.7%
시 60
 
5.4%
별 56
 
5.1%
구 55
 
5.0%
울 55
 
5.0%
특 55
 
5.0%
동 46
 
4.2%
문 30
 
2.7%
Other values (110) 491
44.4%

도로명우편번호
Text

MISSING 

Distinct32
Distinct (%)65.3%
Missing6
Missing (%)10.9%
Memory size572.0 B
2024-04-06T21:46:58.147709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0612245
Min length5

Characters and Unicode

Total characters248
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

Unique21 ?
Unique (%)42.9%

Sample

1st row03186
2nd row03188
3rd row03186
4th row03127
5th row110-719
ValueCountFrequency (%)
03186 6
 
12.2%
03131 3
 
6.1%
03182 3
 
6.1%
03154 2
 
4.1%
03157 2
 
4.1%
03155 2
 
4.1%
03073 2
 
4.1%
03127 2
 
4.1%
03081 2
 
4.1%
03188 2
 
4.1%
Other values (22) 23
46.9%
2024-04-06T21:46:58.957585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 64
25.8%
3 56
22.6%
1 47
19.0%
8 21
 
8.5%
7 15
 
6.0%
5 13
 
5.2%
6 11
 
4.4%
2 10
 
4.0%
4 5
 
2.0%
9 5
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
25.9%
3 56
22.7%
1 47
19.0%
8 21
 
8.5%
7 15
 
6.1%
5 13
 
5.3%
6 11
 
4.5%
2 10
 
4.0%
4 5
 
2.0%
9 5
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 248
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 64
25.8%
3 56
22.6%
1 47
19.0%
8 21
 
8.5%
7 15
 
6.0%
5 13
 
5.2%
6 11
 
4.4%
2 10
 
4.0%
4 5
 
2.0%
9 5
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 64
25.8%
3 56
22.6%
1 47
19.0%
8 21
 
8.5%
7 15
 
6.0%
5 13
 
5.2%
6 11
 
4.4%
2 10
 
4.0%
4 5
 
2.0%
9 5
 
2.0%

사업장명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-06T21:46:59.576756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length13
Mean length10.072727
Min length6

Characters and Unicode

Total characters554
Distinct characters135
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

Unique55 ?
Unique (%)100.0%

Sample

1st row(주)코오롱티엔에스
2nd row(주)세일여행사
3rd row(주)한주여행사
4th row(주)코밴인터내쇼날
5th row롯데관광개발(주)
ValueCountFrequency (%)
주식회사 14
 
18.7%
머니투데이 2
 
2.7%
주)코오롱티엔에스 1
 
1.3%
돌멘코리아 1
 
1.3%
지티엔 1
 
1.3%
크리스앤파트너스 1
 
1.3%
주)인사이트 1
 
1.3%
모션 1
 
1.3%
에스비에스엠앤씨 1
 
1.3%
아이지에이엠(주 1
 
1.3%
Other values (51) 51
68.0%
2024-04-06T21:47:00.407360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 53
 
9.6%
( 39
 
7.0%
) 39
 
7.0%
이 29
 
5.2%
20
 
3.6%
사 20
 
3.6%
스 18
 
3.2%
회 16
 
2.9%
식 15
 
2.7%
에 10
 
1.8%
Other values (125) 295
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 431
77.8%
Open Punctuation 39
 
7.0%
Close Punctuation 39
 
7.0%
Space Separator 20
 
3.6%
Lowercase Letter 19
 
3.4%
Uppercase Letter 5
 
0.9%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 53
 
12.3%
이 29
 
6.7%
사 20
 
4.6%
스 18
 
4.2%
회 16
 
3.7%
식 15
 
3.5%
에 10
 
2.3%
아 9
 
2.1%
엠 9
 
2.1%
리 9
 
2.1%
Other values (105) 243
56.4%
Lowercase Letter
ValueCountFrequency (%)
n 3
15.8%
e 3
15.8%
i 2
10.5%
a 2
10.5%
t 2
10.5%
l 1
 
5.3%
c 1
 
5.3%
o 1
 
5.3%
v 1
 
5.3%
p 1
 
5.3%
Other values (2) 2
10.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
A 1
20.0%
I 1
20.0%
K 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 431
77.8%
Common 99
 
17.9%
Latin 24
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 53
 
12.3%
이 29
 
6.7%
사 20
 
4.6%
스 18
 
4.2%
회 16
 
3.7%
식 15
 
3.5%
에 10
 
2.3%
아 9
 
2.1%
엠 9
 
2.1%
리 9
 
2.1%
Other values (105) 243
56.4%
Latin
ValueCountFrequency (%)
n 3
12.5%
e 3
12.5%
i 2
 
8.3%
a 2
 
8.3%
S 2
 
8.3%
t 2
 
8.3%
l 1
 
4.2%
A 1
 
4.2%
c 1
 
4.2%
I 1
 
4.2%
Other values (6) 6
25.0%
Common
ValueCountFrequency (%)
( 39
39.4%
) 39
39.4%
20
20.2%
. 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 431
77.8%
ASCII 123
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 53
 
12.3%
이 29
 
6.7%
사 20
 
4.6%
스 18
 
4.2%
회 16
 
3.7%
식 15
 
3.5%
에 10
 
2.3%
아 9
 
2.1%
엠 9
 
2.1%
리 9
 
2.1%
Other values (105) 243
56.4%
ASCII
ValueCountFrequency (%)
( 39
31.7%
) 39
31.7%
20
16.3%
n 3
 
2.4%
e 3
 
2.4%
i 2
 
1.6%
a 2
 
1.6%
S 2
 
1.6%
t 2
 
1.6%
l 1
 
0.8%
Other values (10) 10
 
8.1%

최종수정일자
Date

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2005-09-22 16:54:06
Maximum2024-03-07 09:02:08
2024-04-06T21:47:00.684653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:47:00.957231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
U
32 
I
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 32
58.2%
I 23
41.8%

Length

2024-04-06T21:47:01.395491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:01.652111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 32
58.2%
i 23
41.8%

데이터갱신일자
Date

Distinct44
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:09:00
2024-04-06T21:47:01.901228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:47:02.176301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

Distinct44
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198473.12
Minimum197024.45
Maximum200118.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-06T21:47:02.480448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197024.45
5-th percentile197446.23
Q1197713.26
median198176.16
Q3198912.2
95-th percentile199976.9
Maximum200118.06
Range3093.6128
Interquartile range (IQR)1198.9329

Descriptive statistics

Standard deviation867.18208
Coefficient of variation (CV)0.0043692672
Kurtosis-0.85659199
Mean198473.12
Median Absolute Deviation (MAD)514.49974
Skewness0.5248605
Sum10916021
Variance752004.75
MonotonicityNot monotonic
2024-04-06T21:47:02.749075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
197713.264843734 3
 
5.5%
197993.904628438 2
 
3.6%
199937.718596073 2
 
3.6%
198690.658978281 2
 
3.6%
198130.982574569 2
 
3.6%
199976.765493088 2
 
3.6%
198068.926781947 2
 
3.6%
198910.899366062 2
 
3.6%
197713.264872835 2
 
3.6%
198150.300374121 2
 
3.6%
Other values (34) 34
61.8%
ValueCountFrequency (%)
197024.451361755 1
1.8%
197188.830947447 1
1.8%
197401.904439938 1
1.8%
197465.223921125 1
1.8%
197493.366694342 1
1.8%
197541.418168655 1
1.8%
197567.93800572 1
1.8%
197583.394691008 1
1.8%
197607.398336321 1
1.8%
197680.780080175 1
1.8%
ValueCountFrequency (%)
200118.064135962 1
1.8%
200056.223282344 1
1.8%
199977.1994232 1
1.8%
199976.765493088 2
3.6%
199937.718596073 2
3.6%
199698.708751424 1
1.8%
199670.979884558 1
1.8%
199663.637879083 1
1.8%
199566.757867387 1
1.8%
199546.327872457 1
1.8%

좌표정보(Y)
Real number (ℝ)

Distinct44
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452485.39
Minimum451842.5
Maximum455999.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-06T21:47:03.020999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451842.5
5-th percentile451927.78
Q1452020.86
median452256.17
Q3452665.84
95-th percentile453510.12
Maximum455999.95
Range4157.4494
Interquartile range (IQR)644.98668

Descriptive statistics

Standard deviation692.99249
Coefficient of variation (CV)0.0015315246
Kurtosis11.374294
Mean452485.39
Median Absolute Deviation (MAD)318.12928
Skewness2.7665585
Sum24886696
Variance480238.59
MonotonicityNot monotonic
2024-04-06T21:47:03.713679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
451938.037703258 3
 
5.5%
452032.958591394 2
 
3.6%
452660.523751644 2
 
3.6%
452665.844737685 2
 
3.6%
451955.795979598 2
 
3.6%
452526.527263312 2
 
3.6%
452087.030190231 2
 
3.6%
452750.505122507 2
 
3.6%
451938.037709964 2
 
3.6%
452019.212642931 2
 
3.6%
Other values (34) 34
61.8%
ValueCountFrequency (%)
451842.501561085 1
 
1.8%
451911.789172214 1
 
1.8%
451917.062537808 1
 
1.8%
451932.36673738 1
 
1.8%
451938.037703258 3
5.5%
451938.037709964 2
3.6%
451955.795979598 2
3.6%
452016.543891352 1
 
1.8%
452019.212642931 2
3.6%
452022.503467072 1
 
1.8%
ValueCountFrequency (%)
455999.950991473 1
1.8%
453848.810954655 1
1.8%
453562.835215219 1
1.8%
453487.534406085 1
1.8%
453457.977976072 1
1.8%
453358.533934098 1
1.8%
453345.549867034 1
1.8%
452997.428256313 1
1.8%
452991.701984094 1
1.8%
452950.726037257 1
1.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
국제회의기획업
28 
<NA>
27 

Length

Max length7
Median length7
Mean length5.5272727
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 28
50.9%
<NA> 27
49.1%

Length

2024-04-06T21:47:03.967115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:04.161615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 28
50.9%
na 27
49.1%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
49 
관광사업
6 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
89.1%
관광사업 6
 
10.9%

Length

2024-04-06T21:47:04.372202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:04.552007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
89.1%
관광사업 6
 
10.9%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:04.759017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:05.025657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

보험기관명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing54
Missing (%)98.2%
Memory size572.0 B
2024-04-06T21:47:05.262979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters8
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

Unique1 ?
Unique (%)100.0%

Sample

1st row보증보험(2억원)
ValueCountFrequency (%)
보증보험(2억원 1
100.0%
2024-04-06T21:47:05.851776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 2
22.2%
증 1
11.1%
험 1
11.1%
( 1
11.1%
2 1
11.1%
억 1
11.1%
원 1
11.1%
) 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
66.7%
Open Punctuation 1
 
11.1%
Decimal Number 1
 
11.1%
Close Punctuation 1
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 2
33.3%
증 1
16.7%
험 1
16.7%
억 1
16.7%
원 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
66.7%
Common 3
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 2
33.3%
증 1
16.7%
험 1
16.7%
억 1
16.7%
원 1
16.7%
Common
ValueCountFrequency (%)
( 1
33.3%
2 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
66.7%
ASCII 3
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 2
33.3%
증 1
16.7%
험 1
16.7%
억 1
16.7%
원 1
16.7%
ASCII
ValueCountFrequency (%)
( 1
33.3%
2 1
33.3%
) 1
33.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:06.220626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:06.469898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:06.741711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:06.920018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:07.117296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:07.303079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:07.523266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:07.734582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

영문상호명
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing32
Missing (%)58.2%
Memory size572.0 B
2024-04-06T21:47:08.049926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length20.043478
Min length6

Characters and Unicode

Total characters461
Distinct characters46
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st rowLOTTETOUR DEVELOPMENT CO., LTD.
2nd rowSEIL TRAVEL SERVICE Co., Ltd
3rd rowTN Korea Co.,Ltd
4th rowTMJ INTERNATIONAL SERVICE
5th rowEMP Innovation
ValueCountFrequency (%)
co 10
 
13.2%
ltd 10
 
13.2%
tour 2
 
2.6%
service 2
 
2.6%
korea 2
 
2.6%
communications 2
 
2.6%
2
 
2.6%
inc 2
 
2.6%
sbs 1
 
1.3%
the 1
 
1.3%
Other values (42) 42
55.3%
2024-04-06T21:47:08.676056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
11.5%
E 25
 
5.4%
C 23
 
5.0%
O 23
 
5.0%
o 21
 
4.6%
t 20
 
4.3%
. 20
 
4.3%
L 19
 
4.1%
T 18
 
3.9%
n 16
 
3.5%
Other values (36) 223
48.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 232
50.3%
Lowercase Letter 139
30.2%
Space Separator 53
 
11.5%
Other Punctuation 36
 
7.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 25
10.8%
C 23
9.9%
O 23
9.9%
L 19
 
8.2%
T 18
 
7.8%
R 16
 
6.9%
I 15
 
6.5%
N 14
 
6.0%
M 14
 
6.0%
A 13
 
5.6%
Other values (11) 52
22.4%
Lowercase Letter
ValueCountFrequency (%)
o 21
15.1%
t 20
14.4%
n 16
11.5%
i 14
10.1%
d 10
 
7.2%
s 8
 
5.8%
c 7
 
5.0%
a 7
 
5.0%
e 7
 
5.0%
u 4
 
2.9%
Other values (10) 25
18.0%
Other Punctuation
ValueCountFrequency (%)
. 20
55.6%
, 13
36.1%
& 3
 
8.3%
Space Separator
ValueCountFrequency (%)
53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 371
80.5%
Common 90
 
19.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 25
 
6.7%
C 23
 
6.2%
O 23
 
6.2%
o 21
 
5.7%
t 20
 
5.4%
L 19
 
5.1%
T 18
 
4.9%
n 16
 
4.3%
R 16
 
4.3%
I 15
 
4.0%
Other values (31) 175
47.2%
Common
ValueCountFrequency (%)
53
58.9%
. 20
 
22.2%
, 13
 
14.4%
& 3
 
3.3%
- 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 461
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
 
11.5%
E 25
 
5.4%
C 23
 
5.0%
O 23
 
5.0%
o 21
 
4.6%
t 20
 
4.3%
. 20
 
4.3%
L 19
 
4.1%
T 18
 
3.9%
n 16
 
3.5%
Other values (36) 223
48.4%

영문상호주소
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
32 
PROFESSIONAL CONGRESS ORGANIZER
21 
INTERNATIONAL CONFERENCE PLANNING BUSINESS
 
1
International conference planning business
 
1

Length

Max length42
Median length4
Mean length15.690909
Min length4

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
58.2%
PROFESSIONAL CONGRESS ORGANIZER 21
38.2%
INTERNATIONAL CONFERENCE PLANNING BUSINESS 1
 
1.8%
International conference planning business 1
 
1.8%

Length

2024-04-06T21:47:09.048938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:09.343735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
31.1%
professional 21
20.4%
congress 21
20.4%
organizer 21
20.4%
international 2
 
1.9%
conference 2
 
1.9%
planning 2
 
1.9%
business 2
 
1.9%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:09.821558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:10.124708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:10.393017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:10.627917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:10.931522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:11.261953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:11.538724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:11.783071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:12.094951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:12.431120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

시설면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
49 
0.0
 
4
97.89
 
1
308.76
 
1

Length

Max length6
Median length4
Mean length3.9818182
Min length3

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
89.1%
0.0 4
 
7.3%
97.89 1
 
1.8%
308.76 1
 
1.8%

Length

2024-04-06T21:47:12.691336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:12.903749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
89.1%
0.0 4
 
7.3%
97.89 1
 
1.8%
308.76 1
 
1.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-04-06T21:47:13.161675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:13.422104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

자본금
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)76.9%
Missing29
Missing (%)52.7%
Infinite0
Infinite (%)0.0%
Mean8.7066589 × 109
Minimum50000000
Maximum1.9626205 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-06T21:47:13.731445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000000
5-th percentile50000000
Q177500000
median2.775 × 108
Q38.75 × 108
95-th percentile1.225 × 1010
Maximum1.9626205 × 1011
Range1.9621205 × 1011
Interquartile range (IQR)7.975 × 108

Descriptive statistics

Standard deviation3.8370755 × 1010
Coefficient of variation (CV)4.4070585
Kurtosis25.644435
Mean8.7066589 × 109
Median Absolute Deviation (MAD)2.2163834 × 108
Skewness5.0507525
Sum2.2637313 × 1011
Variance1.4723149 × 1021
MonotonicityNot monotonic
2024-04-06T21:47:14.105661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
50000000 5
 
9.1%
100000000 2
 
3.6%
1000000000 2
 
3.6%
360011072 1
 
1.8%
166563716 1
 
1.8%
280000000 1
 
1.8%
290885964 1
 
1.8%
15000000000 1
 
1.8%
196262053988 1
 
1.8%
4000000000 1
 
1.8%
Other values (10) 10
 
18.2%
(Missing) 29
52.7%
ValueCountFrequency (%)
50000000 5
9.1%
56723324 1
 
1.8%
70000000 1
 
1.8%
100000000 2
 
3.6%
110000000 1
 
1.8%
166563716 1
 
1.8%
261015000 1
 
1.8%
275000000 1
 
1.8%
280000000 1
 
1.8%
290885964 1
 
1.8%
ValueCountFrequency (%)
196262053988 1
1.8%
15000000000 1
1.8%
4000000000 1
1.8%
3332377766 1
1.8%
2208500243 1
1.8%
1000000000 2
3.6%
500000000 1
1.8%
400000000 1
1.8%
360011072 1
1.8%
350000000 1
1.8%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

시설규모
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
49 
0
 
4
98
 
1
309
 
1

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
89.1%
0 4
 
7.3%
98 1
 
1.8%
309 1
 
1.8%

Length

2024-04-06T21:47:14.440975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:14.784181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
89.1%
0 4
 
7.3%
98 1
 
1.8%
309 1
 
1.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03000000CDFI226310198900000119890907<NA>3폐업3폐업20051021<NA><NA><NA>3701-4646<NA>110778서울특별시 종로구 인사동 194-27 태화빌딩10층서울특별시 종로구 인사동5길 29 (인사동,태화빌딩10층)<NA>(주)코오롱티엔에스2005-10-21 09:33:03I2018-08-31 23:59:59.0<NA>198592.597471452190.992739국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13000000CDFI226310199100000119911230<NA>1영업/정상13영업중<NA><NA><NA><NA>733-0011<NA>110310서울특별시 종로구 경운동 91-1 서원빌딩9층서울특별시 종로구 삼일대로 469 (경운동,서원빌딩9층)<NA>(주)세일여행사2019-01-22 07:54:59U2019-01-24 02:40:00.0<NA>198690.658978452665.844738국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>275000000<NA><NA><NA><NA>
23000000CDFI226310199400000119940125<NA>1영업/정상13영업중<NA><NA><NA><NA>3702-0120<NA>110150서울특별시 종로구 중학동 14서울특별시 종로구 율곡로 6 (중학동)<NA>(주)한주여행사2005-09-22 16:54:06I2018-08-31 23:59:59.0<NA>198176.15924452574.671514국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000000<NA><NA><NA><NA>
33000000CDFI226310199600000119960402<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>110450서울특별시 종로구 원남동 150-2 용문빌딩3층서울특별시 종로구 율곡로 154 (원남동,용문빌딩3층)<NA>(주)코밴인터내쇼날2022-05-18 17:16:43U2021-12-04 22:00:00.0<NA>199566.757867452640.216145<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43000000CDFI226310200200000120020123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 세종로 211 광화문빌딩서울특별시 종로구 세종대로 149, 광화문빌딩 5층 (세종로)03186롯데관광개발(주)2021-08-11 13:58:30U2021-08-13 02:40:00.0<NA>197836.220312451932.366737국제회의기획업관광사업<NA>0<NA><NA><NA><NA>0000LOTTETOUR DEVELOPMENT CO., LTD.PROFESSIONAL CONGRESS ORGANIZER00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>1000000000<NA><NA><NA>0
53000000CDFI226310200300000120030417<NA>1영업/정상13영업중<NA><NA><NA><NA>735-8500<NA><NA>서울특별시 종로구 서린동 111-1 인주빌딩8층서울특별시 종로구 종로 22, 8층 (서린동, 인주빌딩)03188주식회사 샤프에비에이션케이(Sharp Aviation K Inc.)2017-08-30 08:47:43I2018-08-31 23:59:59.0<NA>198130.982575451955.79598국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000000<NA><NA><NA><NA>
63000000CDFI22631020030000022003-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-734-6513<NA>110-052서울특별시 종로구 적선동 122-1서울특별시 종로구 새문안로5가길 32 (적선동)<NA>(주)한국사회능력개발원2024-02-06 16:33:31U2023-12-02 00:08:00.0<NA>197583.394691452513.612018<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFI226310200700000220070615<NA>1영업/정상13영업중<NA><NA><NA><NA>02-723-4777<NA>110310서울특별시 종로구 경운동 91-1 서원빌딩 8층서울특별시 종로구 삼일대로 469 (경운동,서원빌딩 8층)<NA>세일관광(주)2021-01-12 13:42:33U2021-01-14 02:40:00.0<NA>198690.658978452665.844738국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>SEIL TRAVEL SERVICE Co., LtdPROFESSIONAL CONGRESS ORGANIZER<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>400000000<NA><NA><NA><NA>
83000000CDFI22631020070000032007-08-20<NA>3폐업3폐업2023-04-04<NA><NA><NA><NA><NA><NA>서울특별시 종로구 신문로1가 163 광화문오피시아빌딩서울특별시 종로구 새문안로 92, 광화문오피시아빌딩 1813호 (신문로1가)03186(주)제이케이마이스2023-04-05 13:10:48U2022-12-04 00:08:00.0<NA>197713.264844451938.037703<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93000000CDFI226310200900000220090728<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3669-3926<NA><NA>서울특별시 종로구 연지동 1-7서울특별시 종로구 율곡로 194 (연지동, 현대그룹빌딩)03127현대아산(주)2022-06-14 13:24:46U2021-12-05 23:06:00.0<NA>199976.765493452526.527263<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
453000000CDFI22631020220000042022-06-29<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4130-8282<NA><NA>서울특별시 종로구 종로1가 1 교보생명빌딩서울특별시 종로구 종로 1, 교보생명빌딩 15층 36-14호 (종로1가)03154스텐리(Stenlee)2023-07-24 17:32:52U2022-12-06 22:06:00.0<NA>197993.904628452032.958591<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463000000CDFI226310202200000520220411<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 신문로1가 163 광화문오피시아빌딩서울특별시 종로구 새문안로 92, 광화문오피시아빌딩 1805호 (신문로1가)03186(주)라우트컴퍼니2022-09-13 15:22:19I2021-12-08 23:05:00.0<NA>197713.264873451938.03771<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473000000CDFI226310202200000620221114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 관훈동 198-42 관훈빌딩(센터마크호텔)서울특별시 종로구 인사동5길 38, 관훈빌딩(센터마크호텔) (관훈동)03149(주)호텔코리아닷컴2022-11-16 08:24:24U2021-10-31 23:08:00.0<NA>198534.549199452256.166993<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483000000CDFI22631020230000012023-02-10<NA>5제외/삭제/전출15전출2024-02-06<NA><NA><NA>02-720-7377<NA><NA>서울특별시 종로구 종로1가 24 르메이에르종로타운1서울특별시 종로구 종로 19, 르메이에르종로타운1 630호 (종로1가)03157(주)위더스투어2024-02-06 15:46:48U2023-12-02 00:08:00.0<NA>198150.300374452019.212643<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493000000CDFI22631020230000022023-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA>070-5142-0721<NA><NA>서울특별시 종로구 인의동 112-2 세운스퀘어서울특별시 종로구 창경궁로 109, 세운스퀘어 별관동 226호 (인의동)03137주식회사 위마이스2023-04-24 17:31:28I2022-12-03 22:06:00.0<NA>199670.979885452221.775006<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503000000CDFI22631020230000032023-05-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 연건동 45-5서울특별시 종로구 대학로5길 52-4, 1층 (연건동)03082(주)트리니티컴즈2023-05-22 18:06:59I2022-12-04 22:04:00.0<NA>200056.223282452997.428256<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513000000CDFI22631020230000042023-07-18<NA>3폐업3폐업2023-10-31<NA><NA><NA>02-724-0919<NA><NA>서울특별시 종로구 서린동 149 청계 한국빌딩서울특별시 종로구 청계천로 11, 청계 한국빌딩 16층 (서린동)03187주식회사 머니투데이2023-11-23 09:03:06U2022-10-31 22:05:00.0<NA>198057.201457451911.789172<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523000000CDFI22631020230000052023-07-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-734-0993<NA><NA>서울특별시 종로구 신문로1가 24 광화문 고려빌딩서울특별시 종로구 새문안로 91, 404호 (신문로1가)03182(주)에스피앤코2023-07-31 15:45:46I2022-12-08 00:02:00.0<NA>197700.034014452022.503467<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533000000CDFI22631020230000062023-08-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 삼청동 35-240서울특별시 종로구 삼청로 80 (삼청동)03053(주)애프터눈2023-08-03 13:05:29I2022-12-08 00:05:00.0<NA>198340.261988453358.533934<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543000000CDFI22631020240000012020-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA>027710805<NA><NA>서울특별시 종로구 신문로1가 58-15 내일신문서울특별시 종로구 새문안로3길 3, 내일신문 5층 (신문로1가)03175(주)브랜드쿡2024-03-07 09:02:08I2023-12-03 00:09:00.0<NA>197493.366694452050.840656<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>