Overview

Dataset statistics

Number of variables60
Number of observations61
Missing cells1606
Missing cells (%)43.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.2 KiB
Average record size in memory524.2 B

Variable types

Categorical21
Text7
DateTime4
Unsupported22
Numeric6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-16864/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (58.1%)Imbalance
객실수 is highly imbalanced (53.6%)Imbalance
건축연면적 is highly imbalanced (53.6%)Imbalance
선박총톤수 is highly imbalanced (53.6%)Imbalance
선박척수 is highly imbalanced (53.6%)Imbalance
무대면적 is highly imbalanced (53.6%)Imbalance
좌석수 is highly imbalanced (53.6%)Imbalance
회의실별동시수용인원 is highly imbalanced (53.6%)Imbalance
시설면적 is highly imbalanced (53.6%)Imbalance
놀이시설수 is highly imbalanced (53.6%)Imbalance
자본금 is highly imbalanced (53.6%)Imbalance
시설규모 is highly imbalanced (53.6%)Imbalance
인허가취소일자 has 61 (100.0%) missing valuesMissing
폐업일자 has 32 (52.5%) missing valuesMissing
휴업시작일자 has 61 (100.0%) missing valuesMissing
휴업종료일자 has 61 (100.0%) missing valuesMissing
재개업일자 has 61 (100.0%) missing valuesMissing
전화번호 has 14 (23.0%) missing valuesMissing
소재지면적 has 61 (100.0%) missing valuesMissing
소재지우편번호 has 29 (47.5%) missing valuesMissing
도로명우편번호 has 25 (41.0%) missing valuesMissing
업태구분명 has 61 (100.0%) missing valuesMissing
지역구분명 has 49 (80.3%) missing valuesMissing
총층수 has 40 (65.6%) missing valuesMissing
제작취급품목내용 has 61 (100.0%) missing valuesMissing
보험기관명 has 61 (100.0%) missing valuesMissing
지상층수 has 40 (65.6%) missing valuesMissing
지하층수 has 35 (57.4%) missing valuesMissing
영문상호명 has 61 (100.0%) missing valuesMissing
영문상호주소 has 61 (100.0%) missing valuesMissing
선박제원 has 61 (100.0%) missing valuesMissing
기념품종류 has 61 (100.0%) missing valuesMissing
놀이기구수내역 has 61 (100.0%) missing valuesMissing
방송시설유무 has 61 (100.0%) missing valuesMissing
발전시설유무 has 61 (100.0%) missing valuesMissing
의무실유무 has 61 (100.0%) missing valuesMissing
안내소유무 has 61 (100.0%) missing valuesMissing
기획여행보험시작일자 has 61 (100.0%) missing valuesMissing
기획여행보험종료일자 has 61 (100.0%) missing valuesMissing
보험시작일자 has 61 (100.0%) missing valuesMissing
보험종료일자 has 61 (100.0%) missing valuesMissing
부대시설내역 has 61 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
총층수 has 4 (6.6%) zerosZeros
지상층수 has 6 (9.8%) zerosZeros
지하층수 has 4 (6.6%) zerosZeros

Reproduction

Analysis started2024-05-10 23:18:54.657257
Analysis finished2024-05-10 23:18:55.976431
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
3220000
61 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 61
100.0%

Length

2024-05-10T23:18:56.171142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:18:56.434053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 61
100.0%

관리번호
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-10T23:18:56.798157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1220
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

Unique61 ?
Unique (%)100.0%

Sample

1st rowCDFE1230001999000001
2nd rowCDFE1230002002000001
3rd rowCDFE1230002003000001
4th rowCDFE1230002003000002
5th rowCDFE1230002003000003
ValueCountFrequency (%)
cdfe1230001999000001 1
 
1.6%
cdfe1230002012000003 1
 
1.6%
cdfe1230002012000005 1
 
1.6%
cdfe1230002013000001 1
 
1.6%
cdfe1230002013000002 1
 
1.6%
cdfe1230002014000001 1
 
1.6%
cdfe1230002015000001 1
 
1.6%
cdfe1230002015000002 1
 
1.6%
cdfe1230002015000003 1
 
1.6%
cdfe1230002015000004 1
 
1.6%
Other values (51) 51
83.6%
2024-05-10T23:18:57.613527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 579
47.5%
2 152
 
12.5%
1 111
 
9.1%
3 79
 
6.5%
C 61
 
5.0%
D 61
 
5.0%
F 61
 
5.0%
E 61
 
5.0%
5 14
 
1.1%
6 12
 
1.0%
Other values (4) 29
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 976
80.0%
Uppercase Letter 244
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 579
59.3%
2 152
 
15.6%
1 111
 
11.4%
3 79
 
8.1%
5 14
 
1.4%
6 12
 
1.2%
9 10
 
1.0%
4 9
 
0.9%
8 7
 
0.7%
7 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 61
25.0%
D 61
25.0%
F 61
25.0%
E 61
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 976
80.0%
Latin 244
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 579
59.3%
2 152
 
15.6%
1 111
 
11.4%
3 79
 
8.1%
5 14
 
1.4%
6 12
 
1.2%
9 10
 
1.0%
4 9
 
0.9%
8 7
 
0.7%
7 3
 
0.3%
Latin
ValueCountFrequency (%)
C 61
25.0%
D 61
25.0%
F 61
25.0%
E 61
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 579
47.5%
2 152
 
12.5%
1 111
 
9.1%
3 79
 
6.5%
C 61
 
5.0%
D 61
 
5.0%
F 61
 
5.0%
E 61
 
5.0%
5 14
 
1.1%
6 12
 
1.0%
Other values (4) 29
 
2.4%

인허가일자
Date

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1999-12-06 00:00:00
Maximum2023-01-20 00:00:00
2024-05-10T23:18:57.974969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:18:58.237619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
32 
3
26 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
52.5%
3 26
42.6%
4 3
 
4.9%

Length

2024-05-10T23:18:58.554759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:18:58.869987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
52.5%
3 26
42.6%
4 3
 
4.9%

영업상태명
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
영업/정상
32 
폐업
26 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length5
Mean length4.1639344
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 32
52.5%
폐업 26
42.6%
취소/말소/만료/정지/중지 3
 
4.9%

Length

2024-05-10T23:18:59.131555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:18:59.327095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 32
52.5%
폐업 26
42.6%
취소/말소/만료/정지/중지 3
 
4.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
13
32 
3
26 
35
 
3

Length

Max length2
Median length2
Mean length1.5737705
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row3
4th row35
5th row13

Common Values

ValueCountFrequency (%)
13 32
52.5%
3 26
42.6%
35 3
 
4.9%

Length

2024-05-10T23:18:59.557863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:18:59.882348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 32
52.5%
3 26
42.6%
35 3
 
4.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
영업중
32 
폐업
26 
직권말소
 
3

Length

Max length4
Median length3
Mean length2.6229508
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 32
52.5%
폐업 26
42.6%
직권말소 3
 
4.9%

Length

2024-05-10T23:19:00.272427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:00.622452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 32
52.5%
폐업 26
42.6%
직권말소 3
 
4.9%

폐업일자
Date

MISSING 

Distinct27
Distinct (%)93.1%
Missing32
Missing (%)52.5%
Memory size620.0 B
Minimum2010-12-29 00:00:00
Maximum2023-12-28 00:00:00
2024-05-10T23:19:01.003330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:19:01.350835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

전화번호
Text

MISSING 

Distinct45
Distinct (%)95.7%
Missing14
Missing (%)23.0%
Memory size620.0 B
2024-05-10T23:19:01.801581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.170213
Min length8

Characters and Unicode

Total characters525
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

Unique43 ?
Unique (%)91.5%

Sample

1st row02-2005-0114
2nd row02-3011-2178
3rd row02-3446-9706
4th row02-2176-0891
5th row547-3061
ValueCountFrequency (%)
02-2056-5787 2
 
4.3%
02-546-8095 2
 
4.3%
02-560-9812 1
 
2.1%
02-558-4588 1
 
2.1%
02-541-7977 1
 
2.1%
02-541-3929 1
 
2.1%
02-2005-0114 1
 
2.1%
02-3445-9615 1
 
2.1%
02-3445-0153 1
 
2.1%
02-2176-0724 1
 
2.1%
Other values (35) 35
74.5%
2024-05-10T23:19:02.723359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 98
18.7%
- 85
16.2%
2 68
13.0%
5 48
9.1%
1 39
 
7.4%
3 37
 
7.0%
6 36
 
6.9%
7 34
 
6.5%
4 28
 
5.3%
8 27
 
5.1%
Other values (2) 25
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 438
83.4%
Dash Punctuation 85
 
16.2%
Other Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 98
22.4%
2 68
15.5%
5 48
11.0%
1 39
 
8.9%
3 37
 
8.4%
6 36
 
8.2%
7 34
 
7.8%
4 28
 
6.4%
8 27
 
6.2%
9 23
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 525
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 98
18.7%
- 85
16.2%
2 68
13.0%
5 48
9.1%
1 39
 
7.4%
3 37
 
7.0%
6 36
 
6.9%
7 34
 
6.5%
4 28
 
5.3%
8 27
 
5.1%
Other values (2) 25
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 98
18.7%
- 85
16.2%
2 68
13.0%
5 48
9.1%
1 39
 
7.4%
3 37
 
7.0%
6 36
 
6.9%
7 34
 
6.5%
4 28
 
5.3%
8 27
 
5.1%
Other values (2) 25
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

소재지우편번호
Text

MISSING 

Distinct24
Distinct (%)75.0%
Missing29
Missing (%)47.5%
Memory size620.0 B
2024-05-10T23:19:03.152934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0625
Min length6

Characters and Unicode

Total characters194
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

Unique20 ?
Unique (%)62.5%

Sample

1st row135874
2nd row135954
3rd row135837
4th row135950
5th row135846
ValueCountFrequency (%)
135954 5
 
15.6%
135120 3
 
9.4%
135897 2
 
6.2%
135090 2
 
6.2%
135912 1
 
3.1%
135011 1
 
3.1%
135815 1
 
3.1%
135509 1
 
3.1%
135891 1
 
3.1%
135-855 1
 
3.1%
Other values (14) 14
43.8%
2024-05-10T23:19:04.019856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 44
22.7%
1 40
20.6%
3 36
18.6%
9 19
9.8%
8 15
 
7.7%
0 12
 
6.2%
2 10
 
5.2%
4 9
 
4.6%
7 4
 
2.1%
6 3
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
99.0%
Dash Punctuation 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 44
22.9%
1 40
20.8%
3 36
18.8%
9 19
9.9%
8 15
 
7.8%
0 12
 
6.2%
2 10
 
5.2%
4 9
 
4.7%
7 4
 
2.1%
6 3
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 44
22.7%
1 40
20.6%
3 36
18.6%
9 19
9.8%
8 15
 
7.7%
0 12
 
6.2%
2 10
 
5.2%
4 9
 
4.6%
7 4
 
2.1%
6 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 44
22.7%
1 40
20.6%
3 36
18.6%
9 19
9.8%
8 15
 
7.7%
0 12
 
6.2%
2 10
 
5.2%
4 9
 
4.6%
7 4
 
2.1%
6 3
 
1.5%

지번주소
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-10T23:19:04.708318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length25.295082
Min length17

Characters and Unicode

Total characters1543
Distinct characters110
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)93.4%

Sample

1st row서울특별시 강남구 역삼동 679 GS강남타워
2nd row서울특별시 강남구 삼성동 112-2번지
3rd row서울특별시 강남구 청담동 86-1번지 I&H 빌딩 지하2층
4th row서울특별시 강남구 논현동 58-3번지 삼익악기 빌딩
5th row서울특별시 강남구 대치동 509-2
ValueCountFrequency (%)
서울특별시 61
20.3%
강남구 61
20.3%
신사동 15
 
5.0%
청담동 10
 
3.3%
역삼동 10
 
3.3%
논현동 9
 
3.0%
삼성동 8
 
2.7%
대치동 5
 
1.7%
86번지 4
 
1.3%
58-3번지 3
 
1.0%
Other values (98) 114
38.0%
2024-05-10T23:19:06.403575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
18.5%
동 64
 
4.1%
남 63
 
4.1%
시 62
 
4.0%
강 62
 
4.0%
서 61
 
4.0%
구 61
 
4.0%
울 61
 
4.0%
별 61
 
4.0%
특 61
 
4.0%
Other values (100) 701
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 906
58.7%
Space Separator 286
 
18.5%
Decimal Number 268
 
17.4%
Dash Punctuation 47
 
3.0%
Uppercase Letter 26
 
1.7%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 64
 
7.1%
남 63
 
7.0%
시 62
 
6.8%
강 62
 
6.8%
서 61
 
6.7%
구 61
 
6.7%
울 61
 
6.7%
별 61
 
6.7%
특 61
 
6.7%
지 45
 
5.0%
Other values (68) 305
33.7%
Uppercase Letter
ValueCountFrequency (%)
S 4
15.4%
A 3
11.5%
H 3
11.5%
I 3
11.5%
Q 2
 
7.7%
L 2
 
7.7%
C 1
 
3.8%
Y 1
 
3.8%
K 1
 
3.8%
G 1
 
3.8%
Other values (5) 5
19.2%
Decimal Number
ValueCountFrequency (%)
1 55
20.5%
6 35
13.1%
2 34
12.7%
5 28
10.4%
8 24
9.0%
0 22
 
8.2%
3 19
 
7.1%
7 17
 
6.3%
4 17
 
6.3%
9 17
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 906
58.7%
Common 611
39.6%
Latin 26
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 64
 
7.1%
남 63
 
7.0%
시 62
 
6.8%
강 62
 
6.8%
서 61
 
6.7%
구 61
 
6.7%
울 61
 
6.7%
별 61
 
6.7%
특 61
 
6.7%
지 45
 
5.0%
Other values (68) 305
33.7%
Common
ValueCountFrequency (%)
286
46.8%
1 55
 
9.0%
- 47
 
7.7%
6 35
 
5.7%
2 34
 
5.6%
5 28
 
4.6%
8 24
 
3.9%
0 22
 
3.6%
3 19
 
3.1%
7 17
 
2.8%
Other values (7) 44
 
7.2%
Latin
ValueCountFrequency (%)
S 4
15.4%
A 3
11.5%
H 3
11.5%
I 3
11.5%
Q 2
 
7.7%
L 2
 
7.7%
C 1
 
3.8%
Y 1
 
3.8%
K 1
 
3.8%
G 1
 
3.8%
Other values (5) 5
19.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 906
58.7%
ASCII 637
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
44.9%
1 55
 
8.6%
- 47
 
7.4%
6 35
 
5.5%
2 34
 
5.3%
5 28
 
4.4%
8 24
 
3.8%
0 22
 
3.5%
3 19
 
3.0%
7 17
 
2.7%
Other values (22) 70
 
11.0%
Hangul
ValueCountFrequency (%)
동 64
 
7.1%
남 63
 
7.0%
시 62
 
6.8%
강 62
 
6.8%
서 61
 
6.7%
구 61
 
6.7%
울 61
 
6.7%
별 61
 
6.7%
특 61
 
6.7%
지 45
 
5.0%
Other values (68) 305
33.7%

도로명주소
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-10T23:19:07.085377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length30.901639
Min length22

Characters and Unicode

Total characters1885
Distinct characters133
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st row서울특별시 강남구 논현로 508, GS강남타워 5층 (역삼동)
2nd row서울특별시 강남구 봉은사로 406 (삼성동)
3rd row서울특별시 강남구 도산대로 403 (청담동,I&H 빌딩 지하2층)
4th row서울특별시 강남구 학동로 171, 삼익악기 빌딩 3,4,5층 (논현동)
5th row서울특별시 강남구 삼성로 154 (대치동)
ValueCountFrequency (%)
서울특별시 61
 
16.5%
강남구 61
 
16.5%
신사동 14
 
3.8%
선릉로 8
 
2.2%
역삼동 7
 
1.9%
논현동 7
 
1.9%
삼성동 7
 
1.9%
청담동 7
 
1.9%
지하1층 6
 
1.6%
지하 6
 
1.6%
Other values (129) 185
50.1%
2024-05-10T23:19:08.194036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
311
 
16.5%
동 74
 
3.9%
남 67
 
3.6%
1 65
 
3.4%
강 65
 
3.4%
( 63
 
3.3%
) 63
 
3.3%
시 62
 
3.3%
구 62
 
3.3%
로 61
 
3.2%
Other values (123) 992
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1120
59.4%
Space Separator 311
 
16.5%
Decimal Number 252
 
13.4%
Open Punctuation 63
 
3.3%
Close Punctuation 63
 
3.3%
Other Punctuation 44
 
2.3%
Uppercase Letter 29
 
1.5%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 74
 
6.6%
남 67
 
6.0%
강 65
 
5.8%
시 62
 
5.5%
구 62
 
5.5%
로 61
 
5.4%
서 61
 
5.4%
특 61
 
5.4%
울 61
 
5.4%
별 61
 
5.4%
Other values (91) 485
43.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
13.8%
B 3
10.3%
I 3
10.3%
A 3
10.3%
H 3
10.3%
Q 2
 
6.9%
L 2
 
6.9%
K 2
 
6.9%
Y 1
 
3.4%
E 1
 
3.4%
Other values (5) 5
17.2%
Decimal Number
ValueCountFrequency (%)
1 65
25.8%
4 31
12.3%
3 29
11.5%
5 21
 
8.3%
0 21
 
8.3%
6 21
 
8.3%
8 20
 
7.9%
2 18
 
7.1%
7 16
 
6.3%
9 10
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 43
97.7%
& 1
 
2.3%
Space Separator
ValueCountFrequency (%)
311
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1120
59.4%
Common 736
39.0%
Latin 29
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 74
 
6.6%
남 67
 
6.0%
강 65
 
5.8%
시 62
 
5.5%
구 62
 
5.5%
로 61
 
5.4%
서 61
 
5.4%
특 61
 
5.4%
울 61
 
5.4%
별 61
 
5.4%
Other values (91) 485
43.3%
Common
ValueCountFrequency (%)
311
42.3%
1 65
 
8.8%
( 63
 
8.6%
) 63
 
8.6%
, 43
 
5.8%
4 31
 
4.2%
3 29
 
3.9%
5 21
 
2.9%
0 21
 
2.9%
6 21
 
2.9%
Other values (7) 68
 
9.2%
Latin
ValueCountFrequency (%)
S 4
13.8%
B 3
10.3%
I 3
10.3%
A 3
10.3%
H 3
10.3%
Q 2
 
6.9%
L 2
 
6.9%
K 2
 
6.9%
Y 1
 
3.4%
E 1
 
3.4%
Other values (5) 5
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1120
59.4%
ASCII 765
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
311
40.7%
1 65
 
8.5%
( 63
 
8.2%
) 63
 
8.2%
, 43
 
5.6%
4 31
 
4.1%
3 29
 
3.8%
5 21
 
2.7%
0 21
 
2.7%
6 21
 
2.7%
Other values (22) 97
 
12.7%
Hangul
ValueCountFrequency (%)
동 74
 
6.6%
남 67
 
6.0%
강 65
 
5.8%
시 62
 
5.5%
구 62
 
5.5%
로 61
 
5.4%
서 61
 
5.4%
특 61
 
5.4%
울 61
 
5.4%
별 61
 
5.4%
Other values (91) 485
43.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)86.1%
Missing25
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean31297.139
Minimum6010
Maximum135954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-10T23:19:08.797610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6010
5-th percentile6013.75
Q16026.5
median6137.5
Q36228
95-th percentile135897
Maximum135954
Range129944
Interquartile range (IQR)201.5

Descriptive statistics

Standard deviation52029.924
Coefficient of variation (CV)1.6624499
Kurtosis0.63075518
Mean31297.139
Median Absolute Deviation (MAD)106.5
Skewness1.6120747
Sum1126697
Variance2.707113 × 109
MonotonicityNot monotonic
2024-05-10T23:19:09.372611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
135897 2
 
3.3%
6014 2
 
3.3%
6019 2
 
3.3%
6031 2
 
3.3%
6046 2
 
3.3%
6240 1
 
1.6%
6010 1
 
1.6%
6025 1
 
1.6%
6224 1
 
1.6%
6024 1
 
1.6%
Other values (21) 21
34.4%
(Missing) 25
41.0%
ValueCountFrequency (%)
6010 1
1.6%
6013 1
1.6%
6014 2
3.3%
6019 2
3.3%
6023 1
1.6%
6024 1
1.6%
6025 1
1.6%
6027 1
1.6%
6031 2
3.3%
6038 1
1.6%
ValueCountFrequency (%)
135954 1
1.6%
135897 2
3.3%
135829 1
1.6%
135815 1
1.6%
135509 1
1.6%
135120 1
1.6%
6244 1
1.6%
6240 1
1.6%
6224 1
1.6%
6188 1
1.6%

사업장명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-10T23:19:10.261762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.1311475
Min length2

Characters and Unicode

Total characters435
Distinct characters163
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st rowLG아트센터
2nd row민속극장 풍류
3rd row우림청담씨어터
4th rowSeeART THEATRE
5th row강남구민회관 강당
ValueCountFrequency (%)
광림아트센터 2
 
2.3%
시어터 2
 
2.3%
윤당아트홀 2
 
2.3%
hall 2
 
2.3%
장천홀 1
 
1.2%
세실 1
 
1.2%
엑스스페이스 1
 
1.2%
삼익엠팟홀 1
 
1.2%
kb아트홀 1
 
1.2%
마리아칼라스홀 1
 
1.2%
Other values (72) 72
83.7%
2024-05-10T23:19:11.885977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
홀 30
 
6.9%
아 26
 
6.0%
트 26
 
6.0%
25
 
5.7%
스 12
 
2.8%
터 10
 
2.3%
이 8
 
1.8%
어 7
 
1.6%
라 6
 
1.4%
센 6
 
1.4%
Other values (153) 279
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
72.4%
Uppercase Letter 53
 
12.2%
Space Separator 25
 
5.7%
Lowercase Letter 22
 
5.1%
Decimal Number 8
 
1.8%
Open Punctuation 5
 
1.1%
Close Punctuation 5
 
1.1%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 30
 
9.5%
아 26
 
8.3%
트 26
 
8.3%
스 12
 
3.8%
터 10
 
3.2%
이 8
 
2.5%
어 7
 
2.2%
라 6
 
1.9%
센 6
 
1.9%
림 6
 
1.9%
Other values (107) 178
56.5%
Uppercase Letter
ValueCountFrequency (%)
A 5
 
9.4%
T 5
 
9.4%
E 4
 
7.5%
B 4
 
7.5%
L 4
 
7.5%
K 3
 
5.7%
G 3
 
5.7%
D 3
 
5.7%
R 3
 
5.7%
S 3
 
5.7%
Other values (10) 16
30.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
18.2%
l 2
 
9.1%
a 2
 
9.1%
i 2
 
9.1%
p 1
 
4.5%
s 1
 
4.5%
g 1
 
4.5%
n 1
 
4.5%
h 1
 
4.5%
u 1
 
4.5%
Other values (6) 6
27.3%
Decimal Number
ValueCountFrequency (%)
9 2
25.0%
4 2
25.0%
0 2
25.0%
2 1
12.5%
1 1
12.5%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
72.4%
Latin 75
 
17.2%
Common 45
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 30
 
9.5%
아 26
 
8.3%
트 26
 
8.3%
스 12
 
3.8%
터 10
 
3.2%
이 8
 
2.5%
어 7
 
2.2%
라 6
 
1.9%
센 6
 
1.9%
림 6
 
1.9%
Other values (107) 178
56.5%
Latin
ValueCountFrequency (%)
A 5
 
6.7%
T 5
 
6.7%
E 4
 
5.3%
B 4
 
5.3%
L 4
 
5.3%
e 4
 
5.3%
K 3
 
4.0%
G 3
 
4.0%
D 3
 
4.0%
R 3
 
4.0%
Other values (26) 37
49.3%
Common
ValueCountFrequency (%)
25
55.6%
( 5
 
11.1%
) 5
 
11.1%
9 2
 
4.4%
4 2
 
4.4%
0 2
 
4.4%
- 1
 
2.2%
& 1
 
2.2%
2 1
 
2.2%
1 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
72.4%
ASCII 120
 
27.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
홀 30
 
9.5%
아 26
 
8.3%
트 26
 
8.3%
스 12
 
3.8%
터 10
 
3.2%
이 8
 
2.5%
어 7
 
2.2%
라 6
 
1.9%
센 6
 
1.9%
림 6
 
1.9%
Other values (107) 178
56.5%
ASCII
ValueCountFrequency (%)
25
20.8%
A 5
 
4.2%
( 5
 
4.2%
T 5
 
4.2%
) 5
 
4.2%
E 4
 
3.3%
B 4
 
3.3%
L 4
 
3.3%
e 4
 
3.3%
K 3
 
2.5%
Other values (36) 56
46.7%

최종수정일자
Date

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2010-06-29 18:36:14
Maximum2024-04-30 14:32:29
2024-05-10T23:19:12.538835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:19:12.991668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
U
40 
I
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 40
65.6%
I 21
34.4%

Length

2024-05-10T23:19:13.608430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:13.989509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 40
65.6%
i 21
34.4%

데이터갱신일자
Date

Distinct35
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-10T23:19:14.298167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:19:14.775491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

좌표정보(X)
Real number (ℝ)

Distinct52
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203567.57
Minimum201620.45
Maximum207210.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-10T23:19:15.408376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201620.45
5-th percentile202153.78
Q1202702.23
median203421.79
Q3204212.77
95-th percentile205757.84
Maximum207210.8
Range5590.3516
Interquartile range (IQR)1510.539

Descriptive statistics

Standard deviation1177.3334
Coefficient of variation (CV)0.0057835018
Kurtosis0.4912307
Mean203567.57
Median Absolute Deviation (MAD)744.09384
Skewness0.84165332
Sum12417622
Variance1386114
MonotonicityNot monotonic
2024-05-10T23:19:16.001736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203432.518476036 4
 
6.6%
202510.175626955 3
 
4.9%
202606.5180728 2
 
3.3%
204212.767683131 2
 
3.3%
205130.591678902 2
 
3.3%
202924.11225147 2
 
3.3%
203184.108901561 1
 
1.6%
202894.296172644 1
 
1.6%
205764.576699689 1
 
1.6%
202702.228705822 1
 
1.6%
Other values (42) 42
68.9%
ValueCountFrequency (%)
201620.446225572 1
 
1.6%
201715.387381606 1
 
1.6%
201753.188497176 1
 
1.6%
202153.779162865 1
 
1.6%
202274.092101192 1
 
1.6%
202297.95 1
 
1.6%
202350.705595491 1
 
1.6%
202388.409218153 1
 
1.6%
202445.756046514 1
 
1.6%
202510.175626955 3
4.9%
ValueCountFrequency (%)
207210.797867711 1
1.6%
205821.765682682 1
1.6%
205764.576699689 1
1.6%
205757.840459659 1
1.6%
205710.170088377 1
1.6%
205603.249789354 1
1.6%
205340.631121567 1
1.6%
205276.726286974 1
1.6%
205130.591678902 2
3.3%
204613.83389547 1
1.6%

좌표정보(Y)
Real number (ℝ)

Distinct52
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445563.38
Minimum441279.82
Maximum447323.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-10T23:19:16.553989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441279.82
5-th percentile442622.77
Q1444731.39
median445767.51
Q3446848.28
95-th percentile447057.36
Maximum447323.99
Range6044.172
Interquartile range (IQR)2116.8976

Descriptive statistics

Standard deviation1422.7973
Coefficient of variation (CV)0.0031932544
Kurtosis0.30563698
Mean445563.38
Median Absolute Deviation (MAD)1080.7717
Skewness-0.88747776
Sum27179366
Variance2024352
MonotonicityNot monotonic
2024-05-10T23:19:17.418846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446848.284081545 4
 
6.6%
445767.512366594 3
 
4.9%
444109.694550304 2
 
3.3%
445457.669390099 2
 
3.3%
445590.096837802 2
 
3.3%
447045.606854141 2
 
3.3%
444431.873863292 1
 
1.6%
445277.723124229 1
 
1.6%
444475.770280452 1
 
1.6%
445241.700074323 1
 
1.6%
Other values (42) 42
68.9%
ValueCountFrequency (%)
441279.816606666 1
1.6%
442394.361166178 1
1.6%
442453.675253502 1
1.6%
442622.766421513 1
1.6%
443518.120560181 1
1.6%
443683.77549306 1
1.6%
443703.043623381 1
1.6%
443891.006909089 1
1.6%
443954.517765895 1
1.6%
444062.485291869 1
1.6%
ValueCountFrequency (%)
447323.98856159 1
1.6%
447291.55067768 1
1.6%
447200.862869015 1
1.6%
447057.362248777 1
1.6%
447045.606854141 2
3.3%
446988.192765407 1
1.6%
446939.225244374 1
1.6%
446917.759466758 1
1.6%
446910.789995691 1
1.6%
446889.94 1
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
공연장
46 
<NA>
15 

Length

Max length4
Median length3
Mean length3.2459016
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 46
75.4%
<NA> 15
 
24.6%

Length

2024-05-10T23:19:18.023509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:18.348751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 46
75.4%
na 15
 
24.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
공연장
46 
<NA>
15 

Length

Max length4
Median length3
Mean length3.2459016
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 46
75.4%
<NA> 15
 
24.6%

Length

2024-05-10T23:19:18.802533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:19.164003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 46
75.4%
na 15
 
24.6%

지역구분명
Text

MISSING 

Distinct6
Distinct (%)50.0%
Missing49
Missing (%)80.3%
Memory size620.0 B
2024-05-10T23:19:19.467597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.0833333
Min length4

Characters and Unicode

Total characters61
Distinct characters11
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

Unique3 ?
Unique (%)25.0%

Sample

1st row상업지역
2nd row일반주거지역
3rd row상업지역
4th row일반상업지역
5th row일반주거지역
ValueCountFrequency (%)
상업지역 4
33.3%
일반주거지역 3
25.0%
일반상업지역 2
16.7%
주거지역 1
 
8.3%
준주거지역 1
 
8.3%
근린상업지역 1
 
8.3%
2024-05-10T23:19:20.447573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 12
19.7%
역 12
19.7%
상 7
11.5%
업 7
11.5%
일 5
8.2%
반 5
8.2%
주 5
8.2%
거 5
8.2%
준 1
 
1.6%
근 1
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 12
19.7%
역 12
19.7%
상 7
11.5%
업 7
11.5%
일 5
8.2%
반 5
8.2%
주 5
8.2%
거 5
8.2%
준 1
 
1.6%
근 1
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 12
19.7%
역 12
19.7%
상 7
11.5%
업 7
11.5%
일 5
8.2%
반 5
8.2%
주 5
8.2%
거 5
8.2%
준 1
 
1.6%
근 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 12
19.7%
역 12
19.7%
상 7
11.5%
업 7
11.5%
일 5
8.2%
반 5
8.2%
주 5
8.2%
거 5
8.2%
준 1
 
1.6%
근 1
 
1.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)57.1%
Missing40
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean8.3333333
Minimum0
Maximum26
Zeros4
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-10T23:19:20.802290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q310
95-th percentile20
Maximum26
Range26
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.0095173
Coefficient of variation (CV)0.84114208
Kurtosis0.62629969
Mean8.3333333
Median Absolute Deviation (MAD)4
Skewness0.77335402
Sum175
Variance49.133333
MonotonicityNot monotonic
2024-05-10T23:19:21.277274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 4
 
6.6%
10 4
 
6.6%
13 2
 
3.3%
1 2
 
3.3%
9 2
 
3.3%
5 1
 
1.6%
26 1
 
1.6%
6 1
 
1.6%
20 1
 
1.6%
8 1
 
1.6%
Other values (2) 2
 
3.3%
(Missing) 40
65.6%
ValueCountFrequency (%)
0 4
6.6%
1 2
3.3%
5 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
9 2
3.3%
10 4
6.6%
13 2
3.3%
17 1
 
1.6%
ValueCountFrequency (%)
26 1
 
1.6%
20 1
 
1.6%
17 1
 
1.6%
13 2
3.3%
10 4
6.6%
9 2
3.3%
8 1
 
1.6%
7 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
50 
주택가주변
6 
기타
 
3
유흥업소밀집지역
 
1
결혼예식장주변
 
1

Length

Max length8
Median length4
Mean length4.1147541
Min length2

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
82.0%
주택가주변 6
 
9.8%
기타 3
 
4.9%
유흥업소밀집지역 1
 
1.6%
결혼예식장주변 1
 
1.6%

Length

2024-05-10T23:19:21.728623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:22.139855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
82.0%
주택가주변 6
 
9.8%
기타 3
 
4.9%
유흥업소밀집지역 1
 
1.6%
결혼예식장주변 1
 
1.6%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

건물용도명
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
39 
문화시설
10 
근린생활시설
10 
사무실
 
1
종교시설
 
1

Length

Max length6
Median length4
Mean length4.3114754
Min length3

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
63.9%
문화시설 10
 
16.4%
근린생활시설 10
 
16.4%
사무실 1
 
1.6%
종교시설 1
 
1.6%

Length

2024-05-10T23:19:22.526472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:22.954245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
63.9%
문화시설 10
 
16.4%
근린생활시설 10
 
16.4%
사무실 1
 
1.6%
종교시설 1
 
1.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)38.1%
Missing40
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean5.5238095
Minimum0
Maximum20
Zeros6
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-10T23:19:23.374757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q37
95-th percentile12
Maximum20
Range20
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.8746184
Coefficient of variation (CV)0.88247402
Kurtosis2.6623845
Mean5.5238095
Median Absolute Deviation (MAD)2
Skewness1.1389347
Sum116
Variance23.761905
MonotonicityNot monotonic
2024-05-10T23:19:23.838984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 6
 
9.8%
7 5
 
8.2%
6 3
 
4.9%
9 2
 
3.3%
4 2
 
3.3%
5 1
 
1.6%
20 1
 
1.6%
12 1
 
1.6%
(Missing) 40
65.6%
ValueCountFrequency (%)
0 6
9.8%
4 2
 
3.3%
5 1
 
1.6%
6 3
4.9%
7 5
8.2%
9 2
 
3.3%
12 1
 
1.6%
20 1
 
1.6%
ValueCountFrequency (%)
20 1
 
1.6%
12 1
 
1.6%
9 2
 
3.3%
7 5
8.2%
6 3
4.9%
5 1
 
1.6%
4 2
 
3.3%
0 6
9.8%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)30.8%
Missing35
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean2.7692308
Minimum0
Maximum19
Zeros4
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-10T23:19:24.397130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5.75
Maximum19
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6911537
Coefficient of variation (CV)1.3329166
Kurtosis15.745977
Mean2.7692308
Median Absolute Deviation (MAD)1
Skewness3.6156358
Sum72
Variance13.624615
MonotonicityNot monotonic
2024-05-10T23:19:24.909531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 8
 
13.1%
3 6
 
9.8%
0 4
 
6.6%
4 3
 
4.9%
2 2
 
3.3%
19 1
 
1.6%
5 1
 
1.6%
6 1
 
1.6%
(Missing) 35
57.4%
ValueCountFrequency (%)
0 4
6.6%
1 8
13.1%
2 2
 
3.3%
3 6
9.8%
4 3
 
4.9%
5 1
 
1.6%
6 1
 
1.6%
19 1
 
1.6%
ValueCountFrequency (%)
19 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%
4 3
 
4.9%
3 6
9.8%
2 2
 
3.3%
1 8
13.1%
0 4
6.6%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:25.398150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:25.746798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:26.410544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:26.821881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:27.317394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:27.714074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:28.083847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:28.468162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:28.894093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:29.306147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:29.722236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:30.082248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:30.439743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:30.759609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:31.176161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:31.628352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:31.959870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:32.352033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:32.681084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:33.089645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

시설규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
55 
0
6 

Length

Max length4
Median length4
Mean length3.704918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
90.2%
0 6
 
9.8%

Length

2024-05-10T23:19:33.529645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:19:33.956724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
90.2%
0 6
 
9.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03220000CDFE123000199900000119991206<NA>3폐업3폐업20220311<NA><NA><NA>02-2005-0114<NA><NA>서울특별시 강남구 역삼동 679 GS강남타워서울특별시 강남구 논현로 508, GS강남타워 5층 (역삼동)6141LG아트센터2022-03-11 13:04:55U2022-03-13 02:40:00.0<NA>203184.108902444431.873863공연장공연장상업지역0유흥업소밀집지역<NA><NA>문화시설0000<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
13220000CDFE123000200200000120021122<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3011-2178<NA>135874서울특별시 강남구 삼성동 112-2번지서울특별시 강남구 봉은사로 406 (삼성동)<NA>민속극장 풍류2020-01-30 15:17:22U2020-02-01 02:40:00.0<NA>203877.819609445335.0594공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFE123000200300000120030207<NA>3폐업3폐업20111230<NA><NA><NA><NA><NA>135954서울특별시 강남구 청담동 86-1번지 I&H 빌딩 지하2층서울특별시 강남구 도산대로 403 (청담동,I&H 빌딩 지하2층)<NA>우림청담씨어터2012-01-12 11:29:07I2018-08-31 23:59:59.0<NA>203421.791625446821.046234공연장공연장일반주거지역13<NA><NA><NA>문화시설94<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFE123000200300000220031107<NA>4취소/말소/만료/정지/중지35직권말소20200501<NA><NA><NA>02-3446-9706<NA><NA>서울특별시 강남구 논현동 58-3번지 삼익악기 빌딩서울특별시 강남구 학동로 171, 삼익악기 빌딩 3,4,5층 (논현동)6046SeeART THEATRE2020-05-01 11:30:45U2020-05-03 02:40:00.0<NA>202510.175627445767.512367공연장공연장<NA>10<NA><NA><NA>문화시설73<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFE123000200300000320030122<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2176-0891<NA>135837서울특별시 강남구 대치동 509-2서울특별시 강남구 삼성로 154 (대치동)<NA>강남구민회관 강당2023-01-25 15:28:37U2022-11-30 22:07:00.0<NA>205603.249789443518.12056<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFE123000200300000420030109<NA>3폐업3폐업20161213<NA><NA><NA>547-3061<NA>135950서울특별시 강남구 청담동 22-13번지서울특별시 강남구 도산대로58길 16 (청담동)<NA>유시어터2018-10-16 17:46:37U2018-10-18 02:35:36.0<NA>203577.618585446668.364449공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFE123000200300000520030519<NA>1영업/정상13영업중<NA><NA><NA><NA>02-566-6300<NA>135846서울특별시 강남구 대치동 944-22번지서울특별시 강남구 테헤란로92길 12-9 (대치동)<NA>한국문화의 집 KOUS2020-01-30 15:17:33U2020-02-01 02:40:00.0<NA>205276.726287444959.57821공연장공연장상업지역5<NA><NA><NA>문화시설41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFE123000200400000120041210<NA>1영업/정상13영업중<NA><NA><NA><NA>3413-0035<NA>135942서울특별시 강남구 일원동 713번지서울특별시 강남구 일원로 90 (일원동)<NA>세라믹팔레스홀2017-06-13 16:29:18I2018-08-31 23:59:59.0<NA>207210.797868442622.766422공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFE123000200400000220041223<NA>3폐업3폐업20210730<NA><NA><NA>6000-7889<NA>135090서울특별시 강남구 삼성동 159 코엑스 컨벤션센터 2층서울특별시 강남구 영동대로 511 (삼성동,코엑스 컨벤션센터 2층)<NA>코엑스아트홀2021-08-02 13:39:45U2021-08-04 02:40:00.0<NA>205130.591679445590.096838공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
93220000CDFE123000200500000120050411<NA>3폐업3폐업20180302<NA><NA><NA>02-738-8289<NA>135928서울특별시 강남구 역삼동 772번지 2층서울특별시 강남구 언주로 337 (역삼동,2층)<NA>예림당아트홀2018-03-02 21:37:55I2018-08-31 23:59:59.0<NA>203829.432878443954.517766공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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
513220000CDFE123000201900000220190709<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 652-3번지 YK빌딩서울특별시 강남구 도산대로49길 8, YK빌딩 지하1층 (신사동)6019테크인홀2019-07-09 17:05:36I2019-07-11 02:21:33.0<NA>203239.081151446792.97673공연장공연장<NA><NA><NA><NA><NA>근린생활시설71<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523220000CDFE123000201900000320191203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 86번지서울특별시 강남구 선릉로 806, 3,4층 (청담동)6014광야 아트센터2019-12-03 15:52:16I2019-12-05 00:23:26.0<NA>203432.518476446848.284082공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533220000CDFE123000202000000120200326<NA>3폐업3폐업20211108<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 626-25 원빌딩서울특별시 강남구 논현로168길 39, 원빌딩 지하1층 (신사동)6024주식회사 세븐파이프2021-11-10 16:09:48U2021-11-12 02:40:00.0<NA>202712.885992446778.303957공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
543220000CDFE123000202000000220200714<NA>1영업/정상13영업중<NA><NA><NA><NA>02-555-4713<NA><NA>서울특별시 강남구 역삼동 727-13 세일빌딩서울특별시 강남구 논현로 414, 세일빌딩 지하1층 (역삼동)6224세일아트홀2020-08-06 14:49:13U2020-08-08 02:40:00.0<NA>203380.553982443891.006909공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553220000CDFE123000202000000320201207<NA>1영업/정상13영업중<NA><NA><NA><NA>02-560-9812<NA><NA>서울특별시 강남구 대치동 1008 컬쳐랜드 타워서울특별시 강남구 영동대로 326, 컬쳐랜드 타워 (대치동)6177씨스퀘어(C-SQUARE)2022-03-31 08:58:30U2021-12-04 00:02:00.0<NA>205821.765683444626.23139<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563220000CDFE123000202100000120210205<NA>1영업/정상13영업중<NA><NA><NA><NA>02-588-3360<NA><NA>서울특별시 강남구 역삼동 827-20서울특별시 강남구 테헤란로4길 45, 지하1층 (역삼동)6240두남재아트홀2021-02-08 10:40:22U2021-02-10 02:40:00.0<NA>202677.697787443703.043623공연장공연장<NA><NA><NA><NA><NA>근린생활시설<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573220000CDFE123000202100000220211014<NA>3폐업3폐업20220628<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 653-4 솔미빌딩서울특별시 강남구 도산대로51길 19, 솔미빌딩 1층 (신사동)6019와일드와일드2022-06-29 13:15:35U2021-12-07 00:01:00.0<NA>203259.178893446910.789996<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583220000CDFE123000202200000120220329<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 100-7 예인빌딩 지하 1층서울특별시 강남구 도산대로81길 45, 예인빌딩 지하 1층 (청담동)6010예인아트홀2022-11-21 15:09:35U2021-10-31 22:03:00.0<NA>204013.18117447200.862869<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593220000CDFE123000202200000220221118<NA>1영업/정상13영업중<NA><NA><NA><NA>02-541-7977<NA><NA>서울특별시 강남구 신사동 504-11 SINSA SQUARE서울특별시 강남구 강남대로 652, SINSA SQUARE 4층 (신사동)6027거암아트홀2022-11-18 16:09:03I2021-10-31 22:00:00.0<NA>201620.446226446358.542778<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603220000CDFE123000202300000120230120<NA>1영업/정상13영업중<NA><NA><NA><NA>02-557-1063<NA><NA>서울특별시 강남구 삼성동 141-28 동신빌딩서울특별시 강남구 테헤란로 409, 동신빌딩 지하2층 (삼성동)6162JADE409(제이드409)2023-01-20 09:39:54I2022-11-30 22:02:00.0<NA>204389.263696444809.650128<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>