Overview

Dataset statistics

Number of variables60
Number of observations57
Missing cells1487
Missing cells (%)43.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.1 KiB
Average record size in memory523.3 B

Variable types

Categorical22
Text8
DateTime4
Unsupported22
Numeric4

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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-16863/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (59.4%)Imbalance
건물용도명 is highly imbalanced (57.5%)Imbalance
지하층수 is highly imbalanced (50.6%)Imbalance
객실수 is highly imbalanced (78.1%)Imbalance
건축연면적 is highly imbalanced (78.1%)Imbalance
선박총톤수 is highly imbalanced (78.1%)Imbalance
선박척수 is highly imbalanced (78.1%)Imbalance
무대면적 is highly imbalanced (78.1%)Imbalance
좌석수 is highly imbalanced (78.1%)Imbalance
회의실별동시수용인원 is highly imbalanced (78.1%)Imbalance
시설면적 is highly imbalanced (64.2%)Imbalance
놀이시설수 is highly imbalanced (78.1%)Imbalance
자본금 is highly imbalanced (78.1%)Imbalance
시설규모 is highly imbalanced (64.2%)Imbalance
인허가취소일자 has 57 (100.0%) missing valuesMissing
폐업일자 has 43 (75.4%) missing valuesMissing
휴업시작일자 has 57 (100.0%) missing valuesMissing
휴업종료일자 has 57 (100.0%) missing valuesMissing
재개업일자 has 57 (100.0%) missing valuesMissing
전화번호 has 11 (19.3%) missing valuesMissing
소재지면적 has 57 (100.0%) missing valuesMissing
소재지우편번호 has 25 (43.9%) missing valuesMissing
도로명주소 has 4 (7.0%) missing valuesMissing
도로명우편번호 has 15 (26.3%) missing valuesMissing
업태구분명 has 57 (100.0%) missing valuesMissing
지역구분명 has 50 (87.7%) missing valuesMissing
총층수 has 43 (75.4%) missing valuesMissing
제작취급품목내용 has 57 (100.0%) missing valuesMissing
보험기관명 has 57 (100.0%) missing valuesMissing
지상층수 has 42 (73.7%) missing valuesMissing
영문상호명 has 57 (100.0%) missing valuesMissing
영문상호주소 has 57 (100.0%) missing valuesMissing
선박제원 has 57 (100.0%) missing valuesMissing
기념품종류 has 57 (100.0%) missing valuesMissing
놀이기구수내역 has 57 (100.0%) missing valuesMissing
방송시설유무 has 57 (100.0%) missing valuesMissing
발전시설유무 has 57 (100.0%) missing valuesMissing
의무실유무 has 57 (100.0%) missing valuesMissing
안내소유무 has 57 (100.0%) missing valuesMissing
기획여행보험시작일자 has 57 (100.0%) missing valuesMissing
기획여행보험종료일자 has 57 (100.0%) missing valuesMissing
보험시작일자 has 57 (100.0%) missing valuesMissing
보험종료일자 has 57 (100.0%) missing valuesMissing
부대시설내역 has 57 (100.0%) missing valuesMissing
관리번호 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 (7.0%) zerosZeros
지상층수 has 4 (7.0%) zerosZeros

Reproduction

Analysis started2024-04-29 19:11:18.266168
Analysis finished2024-04-29 19:11:19.177582
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
3210000
57 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 57
100.0%

Length

2024-04-30T04:11:19.235556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:19.324125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 57
100.0%

관리번호
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-04-30T04:11:19.463312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1140
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

Unique57 ?
Unique (%)100.0%

Sample

1st rowCDFE1230001991000001
2nd rowCDFE1230001991000002
3rd rowCDFE1230001993000001
4th rowCDFE1230001993000002
5th rowCDFE1230001994000001
ValueCountFrequency (%)
cdfe1230001991000001 1
 
1.8%
cdfe1230002013000003 1
 
1.8%
cdfe1230002013000005 1
 
1.8%
cdfe1230002014000001 1
 
1.8%
cdfe1230002015000001 1
 
1.8%
cdfe1230002015000002 1
 
1.8%
cdfe1230002016000001 1
 
1.8%
cdfe1230002017000001 1
 
1.8%
cdfe1230002017000002 1
 
1.8%
cdfe1230002017000003 1
 
1.8%
Other values (47) 47
82.5%
2024-04-30T04:11:19.761130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 525
46.1%
2 143
 
12.5%
1 121
 
10.6%
3 73
 
6.4%
C 57
 
5.0%
D 57
 
5.0%
F 57
 
5.0%
E 57
 
5.0%
9 18
 
1.6%
4 16
 
1.4%
Other values (4) 16
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 912
80.0%
Uppercase Letter 228
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 525
57.6%
2 143
 
15.7%
1 121
 
13.3%
3 73
 
8.0%
9 18
 
2.0%
4 16
 
1.8%
5 7
 
0.8%
6 4
 
0.4%
7 4
 
0.4%
8 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 57
25.0%
D 57
25.0%
F 57
25.0%
E 57
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 912
80.0%
Latin 228
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 525
57.6%
2 143
 
15.7%
1 121
 
13.3%
3 73
 
8.0%
9 18
 
2.0%
4 16
 
1.8%
5 7
 
0.8%
6 4
 
0.4%
7 4
 
0.4%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
C 57
25.0%
D 57
25.0%
F 57
25.0%
E 57
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 525
46.1%
2 143
 
12.5%
1 121
 
10.6%
3 73
 
6.4%
C 57
 
5.0%
D 57
 
5.0%
F 57
 
5.0%
E 57
 
5.0%
9 18
 
1.6%
4 16
 
1.4%
Other values (4) 16
 
1.4%

인허가일자
Date

Distinct44
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum1991-04-30 00:00:00
Maximum2024-04-24 00:00:00
2024-04-30T04:11:19.877728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:11:19.987971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
1
42 
3
14 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
73.7%
3 14
 
24.6%
4 1
 
1.8%

Length

2024-04-30T04:11:20.098851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:20.176243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
73.7%
3 14
 
24.6%
4 1
 
1.8%

영업상태명
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업/정상
42 
폐업
14 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.4210526
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 42
73.7%
폐업 14
 
24.6%
취소/말소/만료/정지/중지 1
 
1.8%

Length

2024-04-30T04:11:20.275540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:20.367648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 42
73.7%
폐업 14
 
24.6%
취소/말소/만료/정지/중지 1
 
1.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
13
42 
3
14 
35
 
1

Length

Max length2
Median length2
Mean length1.754386
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 42
73.7%
3 14
 
24.6%
35 1
 
1.8%

Length

2024-04-30T04:11:20.473416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:20.569100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 42
73.7%
3 14
 
24.6%
35 1
 
1.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업중
42 
폐업
14 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.7719298
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 42
73.7%
폐업 14
 
24.6%
직권말소 1
 
1.8%

Length

2024-04-30T04:11:20.669062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:20.753219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 42
73.7%
폐업 14
 
24.6%
직권말소 1
 
1.8%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)71.4%
Missing43
Missing (%)75.4%
Memory size588.0 B
Minimum2011-01-14 00:00:00
Maximum2023-10-04 00:00:00
2024-04-30T04:11:20.822923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:11:20.925345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

전화번호
Text

MISSING 

Distinct35
Distinct (%)76.1%
Missing11
Missing (%)19.3%
Memory size588.0 B
2024-04-30T04:11:21.096215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.086957
Min length8

Characters and Unicode

Total characters510
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

Unique28 ?
Unique (%)60.9%

Sample

1st row2105-8131
2nd row526-9681
3rd row3477-5004
4th row594-8557
5th row02-580-1301
ValueCountFrequency (%)
02-544-1152 4
 
8.7%
02-580-1300 3
 
6.5%
02-580-1301 3
 
6.5%
02-580-3018 2
 
4.3%
02-536-8641 2
 
4.3%
070-8129-7420 2
 
4.3%
02-3434-4900 2
 
4.3%
02-530-5000 1
 
2.2%
070-8838-7935 1
 
2.2%
02-582-3337 1
 
2.2%
Other values (25) 25
54.3%
2024-04-30T04:11:21.396110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92
18.0%
- 86
16.9%
2 65
12.7%
5 46
9.0%
3 43
8.4%
8 42
8.2%
1 41
8.0%
4 35
 
6.9%
7 25
 
4.9%
6 21
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 424
83.1%
Dash Punctuation 86
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
21.7%
2 65
15.3%
5 46
10.8%
3 43
10.1%
8 42
9.9%
1 41
9.7%
4 35
 
8.3%
7 25
 
5.9%
6 21
 
5.0%
9 14
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 510
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92
18.0%
- 86
16.9%
2 65
12.7%
5 46
9.0%
3 43
8.4%
8 42
8.2%
1 41
8.0%
4 35
 
6.9%
7 25
 
4.9%
6 21
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 510
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92
18.0%
- 86
16.9%
2 65
12.7%
5 46
9.0%
3 43
8.4%
8 42
8.2%
1 41
8.0%
4 35
 
6.9%
7 25
 
4.9%
6 21
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

소재지우편번호
Text

MISSING 

Distinct18
Distinct (%)56.2%
Missing25
Missing (%)43.9%
Memory size588.0 B
2024-04-30T04:11:21.538004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.15625
Min length6

Characters and Unicode

Total characters197
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

Unique13 ?
Unique (%)40.6%

Sample

1st row137862
2nd row137893
3rd row137713
4th row137713
5th row137713
ValueCountFrequency (%)
137070 6
18.8%
137718 5
15.6%
137713 3
 
9.4%
137852 3
 
9.4%
137855 2
 
6.2%
137884 1
 
3.1%
137862 1
 
3.1%
137042 1
 
3.1%
137711 1
 
3.1%
137069 1
 
3.1%
Other values (8) 8
25.0%
2024-04-30T04:11:21.774336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 50
25.4%
1 45
22.8%
3 37
18.8%
8 22
11.2%
0 16
 
8.1%
5 9
 
4.6%
2 5
 
2.5%
- 5
 
2.5%
9 3
 
1.5%
6 3
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
97.5%
Dash Punctuation 5
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 50
26.0%
1 45
23.4%
3 37
19.3%
8 22
11.5%
0 16
 
8.3%
5 9
 
4.7%
2 5
 
2.6%
9 3
 
1.6%
6 3
 
1.6%
4 2
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 197
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 50
25.4%
1 45
22.8%
3 37
18.8%
8 22
11.2%
0 16
 
8.1%
5 9
 
4.6%
2 5
 
2.5%
- 5
 
2.5%
9 3
 
1.5%
6 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 197
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 50
25.4%
1 45
22.8%
3 37
18.8%
8 22
11.2%
0 16
 
8.1%
5 9
 
4.6%
2 5
 
2.5%
- 5
 
2.5%
9 3
 
1.5%
6 3
 
1.5%

지번주소
Text

Distinct42
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-04-30T04:11:21.985058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length22.350877
Min length14

Characters and Unicode

Total characters1274
Distinct characters97
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

Unique34 ?
Unique (%)59.6%

Sample

1st row서울특별시 서초구 서초동 1355-0번지
2nd row서울특별시 서초구 양재동 202
3rd row서울특별시 서초구 반포동 19-1번지 고속터미널 5층
4th row서울특별시 서초구 반포동 19-4번지 고속버스터미널 5층
5th row서울특별시 서초구 반포동 19-4번지 고속버스터미날 5층
ValueCountFrequency (%)
서울특별시 57
22.4%
서초구 57
22.4%
서초동 37
14.5%
700 11
 
4.3%
방배동 6
 
2.4%
반포동 6
 
2.4%
5층 5
 
2.0%
양재동 5
 
2.0%
1485-11 4
 
1.6%
잠원동 2
 
0.8%
Other values (60) 65
25.5%
2024-04-30T04:11:22.290287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
17.7%
서 152
 
11.9%
초 94
 
7.4%
동 58
 
4.6%
울 58
 
4.6%
특 57
 
4.5%
별 57
 
4.5%
시 57
 
4.5%
구 57
 
4.5%
1 55
 
4.3%
Other values (87) 404
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 769
60.4%
Decimal Number 237
 
18.6%
Space Separator 225
 
17.7%
Dash Punctuation 35
 
2.7%
Other Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 152
19.8%
초 94
12.2%
동 58
 
7.5%
울 58
 
7.5%
특 57
 
7.4%
별 57
 
7.4%
시 57
 
7.4%
구 57
 
7.4%
번 14
 
1.8%
지 14
 
1.8%
Other values (68) 151
19.6%
Decimal Number
ValueCountFrequency (%)
1 55
23.2%
0 37
15.6%
5 30
12.7%
2 26
11.0%
3 22
 
9.3%
7 22
 
9.3%
4 21
 
8.9%
8 12
 
5.1%
6 9
 
3.8%
9 3
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
H 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 769
60.4%
Common 502
39.4%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 152
19.8%
초 94
12.2%
동 58
 
7.5%
울 58
 
7.5%
특 57
 
7.4%
별 57
 
7.4%
시 57
 
7.4%
구 57
 
7.4%
번 14
 
1.8%
지 14
 
1.8%
Other values (68) 151
19.6%
Common
ValueCountFrequency (%)
225
44.8%
1 55
 
11.0%
0 37
 
7.4%
- 35
 
7.0%
5 30
 
6.0%
2 26
 
5.2%
3 22
 
4.4%
7 22
 
4.4%
4 21
 
4.2%
8 12
 
2.4%
Other values (6) 17
 
3.4%
Latin
ValueCountFrequency (%)
K 1
33.3%
H 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 769
60.4%
ASCII 505
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
44.6%
1 55
 
10.9%
0 37
 
7.3%
- 35
 
6.9%
5 30
 
5.9%
2 26
 
5.1%
3 22
 
4.4%
7 22
 
4.4%
4 21
 
4.2%
8 12
 
2.4%
Other values (9) 20
 
4.0%
Hangul
ValueCountFrequency (%)
서 152
19.8%
초 94
12.2%
동 58
 
7.5%
울 58
 
7.5%
특 57
 
7.4%
별 57
 
7.4%
시 57
 
7.4%
구 57
 
7.4%
번 14
 
1.8%
지 14
 
1.8%
Other values (68) 151
19.6%

도로명주소
Text

MISSING 

Distinct45
Distinct (%)84.9%
Missing4
Missing (%)7.0%
Memory size588.0 B
2024-04-30T04:11:22.527668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length31.735849
Min length23

Characters and Unicode

Total characters1682
Distinct characters129
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

Unique39 ?
Unique (%)73.6%

Sample

1st row서울특별시 서초구 효령로72길 60 (서초동)
2nd row서울특별시 서초구 바우뫼로12길 70 (양재동)
3rd row서울특별시 서초구 신반포로 162 (반포동,고속터미널 5층)
4th row서울특별시 서초구 신반포로 194 (반포동,고속버스터미널 5층)
5th row서울특별시 서초구 신반포로 194 (반포동,고속버스터미날 5층)
ValueCountFrequency (%)
서울특별시 53
 
16.6%
서초구 53
 
16.6%
서초동 32
 
10.0%
남부순환로 9
 
2.8%
반포대로 7
 
2.2%
2406 6
 
1.9%
방배동 6
 
1.9%
5층 5
 
1.6%
지하1층 4
 
1.3%
양재동 4
 
1.3%
Other values (97) 140
43.9%
2024-04-30T04:11:22.891933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
16.2%
서 149
 
8.9%
초 94
 
5.6%
동 61
 
3.6%
구 54
 
3.2%
울 54
 
3.2%
) 54
 
3.2%
( 54
 
3.2%
특 53
 
3.2%
시 53
 
3.2%
Other values (119) 783
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1036
61.6%
Space Separator 273
 
16.2%
Decimal Number 214
 
12.7%
Close Punctuation 54
 
3.2%
Open Punctuation 54
 
3.2%
Other Punctuation 42
 
2.5%
Uppercase Letter 8
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 149
 
14.4%
초 94
 
9.1%
동 61
 
5.9%
구 54
 
5.2%
울 54
 
5.2%
특 53
 
5.1%
시 53
 
5.1%
별 53
 
5.1%
로 52
 
5.0%
층 26
 
2.5%
Other values (100) 387
37.4%
Decimal Number
ValueCountFrequency (%)
2 34
15.9%
1 32
15.0%
4 30
14.0%
3 27
12.6%
0 21
9.8%
7 19
8.9%
5 19
8.9%
9 15
7.0%
6 14
6.5%
8 3
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
62.5%
H 1
 
12.5%
K 1
 
12.5%
A 1
 
12.5%
Space Separator
ValueCountFrequency (%)
273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1036
61.6%
Common 638
37.9%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 149
 
14.4%
초 94
 
9.1%
동 61
 
5.9%
구 54
 
5.2%
울 54
 
5.2%
특 53
 
5.1%
시 53
 
5.1%
별 53
 
5.1%
로 52
 
5.0%
층 26
 
2.5%
Other values (100) 387
37.4%
Common
ValueCountFrequency (%)
273
42.8%
) 54
 
8.5%
( 54
 
8.5%
, 42
 
6.6%
2 34
 
5.3%
1 32
 
5.0%
4 30
 
4.7%
3 27
 
4.2%
0 21
 
3.3%
7 19
 
3.0%
Other values (5) 52
 
8.2%
Latin
ValueCountFrequency (%)
B 5
62.5%
H 1
 
12.5%
K 1
 
12.5%
A 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1036
61.6%
ASCII 646
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
42.3%
) 54
 
8.4%
( 54
 
8.4%
, 42
 
6.5%
2 34
 
5.3%
1 32
 
5.0%
4 30
 
4.6%
3 27
 
4.2%
0 21
 
3.3%
7 19
 
2.9%
Other values (9) 60
 
9.3%
Hangul
ValueCountFrequency (%)
서 149
 
14.4%
초 94
 
9.1%
동 61
 
5.9%
구 54
 
5.2%
울 54
 
5.2%
특 53
 
5.1%
시 53
 
5.1%
별 53
 
5.1%
로 52
 
5.0%
층 26
 
2.5%
Other values (100) 387
37.4%

도로명우편번호
Text

MISSING 

Distinct30
Distinct (%)71.4%
Missing15
Missing (%)26.3%
Memory size588.0 B
2024-04-30T04:11:23.042840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5
Min length5

Characters and Unicode

Total characters231
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

Unique25 ?
Unique (%)59.5%

Sample

1st row137862
2nd row137718
3rd row06732
4th row137718
5th row137718
ValueCountFrequency (%)
137718 7
 
16.7%
06709 4
 
9.5%
06710 2
 
4.8%
06716 2
 
4.8%
06614 2
 
4.8%
06785 1
 
2.4%
06749 1
 
2.4%
06643 1
 
2.4%
06719 1
 
2.4%
06595 1
 
2.4%
Other values (20) 20
47.6%
2024-04-30T04:11:23.324106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 43
18.6%
0 39
16.9%
6 36
15.6%
1 34
14.7%
3 20
8.7%
8 20
8.7%
5 13
 
5.6%
9 11
 
4.8%
4 9
 
3.9%
- 4
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 227
98.3%
Dash Punctuation 4
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 43
18.9%
0 39
17.2%
6 36
15.9%
1 34
15.0%
3 20
8.8%
8 20
8.8%
5 13
 
5.7%
9 11
 
4.8%
4 9
 
4.0%
2 2
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 43
18.6%
0 39
16.9%
6 36
15.6%
1 34
14.7%
3 20
8.7%
8 20
8.7%
5 13
 
5.6%
9 11
 
4.8%
4 9
 
3.9%
- 4
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 43
18.6%
0 39
16.9%
6 36
15.6%
1 34
14.7%
3 20
8.7%
8 20
8.7%
5 13
 
5.6%
9 11
 
4.8%
4 9
 
3.9%
- 4
 
1.7%

사업장명
Text

Distinct55
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-04-30T04:11:23.544053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length9.4561404
Min length4

Characters and Unicode

Total characters539
Distinct characters162
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

Unique53 ?
Unique (%)93.0%

Sample

1st row한전아트센터
2nd row더케이아트홀
3rd row반포시네마 1관
4th row반포시네마 2관
5th row반포시네마 3관
ValueCountFrequency (%)
예술의전당 7
 
7.1%
아트홀 5
 
5.1%
로데아트센터 4
 
4.1%
국립국악원 4
 
4.1%
반포시네마 3
 
3.1%
콘서트홀 3
 
3.1%
한전아트센터 2
 
2.0%
소극장 2
 
2.0%
247아트플랫폼 2
 
2.0%
2관 2
 
2.0%
Other values (63) 64
65.3%
2024-04-30T04:11:23.892101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
7.6%
트 31
 
5.8%
홀 27
 
5.0%
아 25
 
4.6%
당 11
 
2.0%
국 11
 
2.0%
예 11
 
2.0%
전 10
 
1.9%
터 10
 
1.9%
술 10
 
1.9%
Other values (152) 352
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
72.9%
Uppercase Letter 47
 
8.7%
Space Separator 41
 
7.6%
Lowercase Letter 20
 
3.7%
Decimal Number 17
 
3.2%
Open Punctuation 9
 
1.7%
Close Punctuation 9
 
1.7%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 31
 
7.9%
홀 27
 
6.9%
아 25
 
6.4%
당 11
 
2.8%
국 11
 
2.8%
예 11
 
2.8%
전 10
 
2.5%
터 10
 
2.5%
술 10
 
2.5%
악 8
 
2.0%
Other values (107) 239
60.8%
Uppercase Letter
ValueCountFrequency (%)
C 6
12.8%
S 5
10.6%
O 5
10.6%
E 4
 
8.5%
B 4
 
8.5%
L 4
 
8.5%
H 2
 
4.3%
N 2
 
4.3%
U 2
 
4.3%
I 2
 
4.3%
Other values (10) 11
23.4%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
o 3
15.0%
a 2
10.0%
s 1
 
5.0%
t 1
 
5.0%
y 1
 
5.0%
i 1
 
5.0%
w 1
 
5.0%
u 1
 
5.0%
n 1
 
5.0%
Other values (4) 4
20.0%
Decimal Number
ValueCountFrequency (%)
2 5
29.4%
3 3
17.6%
1 3
17.6%
4 2
 
11.8%
7 2
 
11.8%
6 1
 
5.9%
0 1
 
5.9%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
' 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
72.9%
Common 79
 
14.7%
Latin 67
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 31
 
7.9%
홀 27
 
6.9%
아 25
 
6.4%
당 11
 
2.8%
국 11
 
2.8%
예 11
 
2.8%
전 10
 
2.5%
터 10
 
2.5%
술 10
 
2.5%
악 8
 
2.0%
Other values (107) 239
60.8%
Latin
ValueCountFrequency (%)
C 6
 
9.0%
S 5
 
7.5%
O 5
 
7.5%
E 4
 
6.0%
l 4
 
6.0%
B 4
 
6.0%
L 4
 
6.0%
o 3
 
4.5%
H 2
 
3.0%
N 2
 
3.0%
Other values (24) 28
41.8%
Common
ValueCountFrequency (%)
41
51.9%
( 9
 
11.4%
) 9
 
11.4%
2 5
 
6.3%
3 3
 
3.8%
1 3
 
3.8%
' 3
 
3.8%
4 2
 
2.5%
7 2
 
2.5%
6 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
72.9%
ASCII 146
 
27.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
28.1%
( 9
 
6.2%
) 9
 
6.2%
C 6
 
4.1%
S 5
 
3.4%
O 5
 
3.4%
2 5
 
3.4%
E 4
 
2.7%
l 4
 
2.7%
B 4
 
2.7%
Other values (35) 54
37.0%
Hangul
ValueCountFrequency (%)
트 31
 
7.9%
홀 27
 
6.9%
아 25
 
6.4%
당 11
 
2.8%
국 11
 
2.8%
예 11
 
2.8%
전 10
 
2.5%
터 10
 
2.5%
술 10
 
2.5%
악 8
 
2.0%
Other values (107) 239
60.8%

최종수정일자
Date

Distinct55
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2003-04-18 11:31:33
Maximum2024-04-24 17:52:05
2024-04-30T04:11:24.017500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:11:24.147781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
U
34 
I
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 34
59.6%
I 23
40.4%

Length

2024-04-30T04:11:24.267346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:24.357391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 34
59.6%
i 23
40.4%

데이터갱신일자
Date

Distinct34
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-04-30T04:11:24.445838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:11:24.745952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

좌표정보(X)
Real number (ℝ)

Distinct35
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201054.64
Minimum198416.69
Maximum204826.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-30T04:11:24.847581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198416.69
5-th percentile198519.3
Q1200573.74
median201050.44
Q3201292.84
95-th percentile203144.58
Maximum204826.45
Range6409.7585
Interquartile range (IQR)719.10083

Descriptive statistics

Standard deviation1296.3476
Coefficient of variation (CV)0.0064477377
Kurtosis0.90344475
Mean201054.64
Median Absolute Deviation (MAD)476.69648
Skewness0.13754547
Sum11460114
Variance1680517
MonotonicityNot monotonic
2024-04-30T04:11:24.971373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
201278.647889967 11
19.3%
200841.06977102 4
 
7.0%
198416.687503983 3
 
5.3%
202406.470363348 2
 
3.5%
200554.74395758 2
 
3.5%
202833.261653939 2
 
3.5%
200945.719425973 2
 
3.5%
202130.827595569 2
 
3.5%
200573.740062226 2
 
3.5%
198969.41821936 2
 
3.5%
Other values (25) 25
43.9%
ValueCountFrequency (%)
198416.687503983 3
5.3%
198544.950903405 1
 
1.8%
198969.41821936 2
3.5%
199155.94319235 1
 
1.8%
199957.680853034 1
 
1.8%
200005.626362552 1
 
1.8%
200026.042318021 1
 
1.8%
200115.143202807 1
 
1.8%
200332.492351883 1
 
1.8%
200554.74395758 2
3.5%
ValueCountFrequency (%)
204826.446037584 1
1.8%
203808.106070872 1
1.8%
203327.153493401 1
1.8%
203098.931558332 1
1.8%
202833.261653939 2
3.5%
202406.470363348 2
3.5%
202173.486849488 1
1.8%
202130.827595569 2
3.5%
202059.397382668 1
1.8%
202058.674687128 1
1.8%

좌표정보(Y)
Real number (ℝ)

Distinct35
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442824.7
Minimum439051.08
Maximum445241.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-30T04:11:25.071582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439051.08
5-th percentile440897.24
Q1442099.75
median442611.97
Q3443469.53
95-th percentile444811.36
Maximum445241.9
Range6190.8166
Interquartile range (IQR)1369.7809

Descriptive statistics

Standard deviation1205.4578
Coefficient of variation (CV)0.0027222009
Kurtosis0.75504228
Mean442824.7
Median Absolute Deviation (MAD)512.21974
Skewness-0.19868302
Sum25241008
Variance1453128.6
MonotonicityNot monotonic
2024-04-30T04:11:25.181772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
442099.753091778 11
19.3%
442328.241891378 4
 
7.0%
442938.69995442 3
 
5.3%
442611.972829952 2
 
3.5%
444811.364826199 2
 
3.5%
440511.561175378 2
 
3.5%
442335.47929551 2
 
3.5%
444209.775876953 2
 
3.5%
443469.533958033 2
 
3.5%
443432.991860583 2
 
3.5%
Other values (25) 25
43.9%
ValueCountFrequency (%)
439051.081835459 1
 
1.8%
440511.561175378 2
 
3.5%
440993.656947052 1
 
1.8%
441718.211042903 1
 
1.8%
442032.622260635 1
 
1.8%
442099.753091778 11
19.3%
442167.033554578 1
 
1.8%
442172.712321113 1
 
1.8%
442179.026389326 1
 
1.8%
442225.483549377 1
 
1.8%
ValueCountFrequency (%)
445241.8984183 1
1.8%
444882.738380211 1
1.8%
444811.364826199 2
3.5%
444741.437478089 1
1.8%
444680.521703344 1
1.8%
444618.16731522 1
1.8%
444369.925403887 1
1.8%
444209.775876953 2
3.5%
444069.63527203 1
1.8%
443969.750562859 1
1.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
31 
공연장
26 

Length

Max length4
Median length4
Mean length3.5438596
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
54.4%
공연장 26
45.6%

Length

2024-04-30T04:11:25.288307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:25.379639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
54.4%
공연장 26
45.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
31 
공연장
26 

Length

Max length4
Median length4
Mean length3.5438596
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
54.4%
공연장 26
45.6%

Length

2024-04-30T04:11:25.483759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:25.585060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
54.4%
공연장 26
45.6%

지역구분명
Text

MISSING 

Distinct5
Distinct (%)71.4%
Missing50
Missing (%)87.7%
Memory size588.0 B
2024-04-30T04:11:25.690457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5714286
Min length4

Characters and Unicode

Total characters39
Distinct characters12
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 (%)42.9%

Sample

1st row준주거지역
2nd row일반상업지역
3rd row일반주거지역
4th row녹지지역
5th row자연녹지지역
ValueCountFrequency (%)
일반상업지역 2
28.6%
일반주거지역 2
28.6%
준주거지역 1
14.3%
녹지지역 1
14.3%
자연녹지지역 1
14.3%
2024-04-30T04:11:25.947911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 9
23.1%
역 7
17.9%
일 4
10.3%
반 4
10.3%
주 3
 
7.7%
거 3
 
7.7%
상 2
 
5.1%
업 2
 
5.1%
녹 2
 
5.1%
준 1
 
2.6%
Other values (2) 2
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 9
23.1%
역 7
17.9%
일 4
10.3%
반 4
10.3%
주 3
 
7.7%
거 3
 
7.7%
상 2
 
5.1%
업 2
 
5.1%
녹 2
 
5.1%
준 1
 
2.6%
Other values (2) 2
 
5.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 9
23.1%
역 7
17.9%
일 4
10.3%
반 4
10.3%
주 3
 
7.7%
거 3
 
7.7%
상 2
 
5.1%
업 2
 
5.1%
녹 2
 
5.1%
준 1
 
2.6%
Other values (2) 2
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 9
23.1%
역 7
17.9%
일 4
10.3%
반 4
10.3%
주 3
 
7.7%
거 3
 
7.7%
상 2
 
5.1%
업 2
 
5.1%
녹 2
 
5.1%
준 1
 
2.6%
Other values (2) 2
 
5.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)50.0%
Missing43
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean6.4285714
Minimum0
Maximum18
Zeros4
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-30T04:11:26.047478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median6.5
Q310
95-th percentile14.1
Maximum18
Range18
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation5.3595965
Coefficient of variation (CV)0.83371501
Kurtosis0.047863924
Mean6.4285714
Median Absolute Deviation (MAD)3.5
Skewness0.46095694
Sum90
Variance28.725275
MonotonicityNot monotonic
2024-04-30T04:11:26.129261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 4
 
7.0%
10 3
 
5.3%
5 2
 
3.5%
7 2
 
3.5%
6 1
 
1.8%
18 1
 
1.8%
12 1
 
1.8%
(Missing) 43
75.4%
ValueCountFrequency (%)
0 4
7.0%
5 2
3.5%
6 1
 
1.8%
7 2
3.5%
10 3
5.3%
12 1
 
1.8%
18 1
 
1.8%
ValueCountFrequency (%)
18 1
 
1.8%
12 1
 
1.8%
10 3
5.3%
7 2
3.5%
6 1
 
1.8%
5 2
3.5%
0 4
7.0%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
50 
기타
 
5
아파트지역
 
2

Length

Max length5
Median length4
Mean length3.8596491
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
87.7%
기타 5
 
8.8%
아파트지역 2
 
3.5%

Length

2024-04-30T04:11:26.246649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:26.330216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
87.7%
기타 5
 
8.8%
아파트지역 2
 
3.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
48 
문화시설
 
4
근린생활시설
 
4
유통시설
 
1

Length

Max length6
Median length4
Mean length4.1403509
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
84.2%
문화시설 4
 
7.0%
근린생활시설 4
 
7.0%
유통시설 1
 
1.8%

Length

2024-04-30T04:11:26.427103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:26.533381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
84.2%
문화시설 4
 
7.0%
근린생활시설 4
 
7.0%
유통시설 1
 
1.8%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)40.0%
Missing42
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean4.2
Minimum0
Maximum14
Zeros4
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-30T04:11:26.607429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median5
Q35
95-th percentile9.8
Maximum14
Range14
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.6488746
Coefficient of variation (CV)0.86877966
Kurtosis2.8521928
Mean4.2
Median Absolute Deviation (MAD)1
Skewness1.1892848
Sum63
Variance13.314286
MonotonicityNot monotonic
2024-04-30T04:11:26.700300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 6
 
10.5%
0 4
 
7.0%
4 2
 
3.5%
3 1
 
1.8%
14 1
 
1.8%
8 1
 
1.8%
(Missing) 42
73.7%
ValueCountFrequency (%)
0 4
7.0%
3 1
 
1.8%
4 2
 
3.5%
5 6
10.5%
8 1
 
1.8%
14 1
 
1.8%
ValueCountFrequency (%)
14 1
 
1.8%
8 1
 
1.8%
5 6
10.5%
4 2
 
3.5%
3 1
 
1.8%
0 4
7.0%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
44 
0
 
4
1
 
3
3
 
3
4
 
2

Length

Max length4
Median length4
Mean length3.3157895
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
77.2%
0 4
 
7.0%
1 3
 
5.3%
3 3
 
5.3%
4 2
 
3.5%
2 1
 
1.8%

Length

2024-04-30T04:11:26.872184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:26.993251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
77.2%
0 4
 
7.0%
1 3
 
5.3%
3 3
 
5.3%
4 2
 
3.5%
2 1
 
1.8%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
0 2
 
3.5%

Length

2024-04-30T04:11:27.117790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:27.284258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
0 2
 
3.5%

Length

2024-04-30T04:11:27.444987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:27.558428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
0 2
 
3.5%

Length

2024-04-30T04:11:27.661020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:27.761540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
0 2
 
3.5%

Length

2024-04-30T04:11:27.856562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:27.966217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
0 2
 
3.5%

Length

2024-04-30T04:11:28.068026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:28.161481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
0 2
 
3.5%

Length

2024-04-30T04:11:28.271619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:28.465642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
0 2
 
3.5%

Length

2024-04-30T04:11:28.583727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:28.682036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

시설면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
48 
0.0
5 
811.0
 
1
1244.0
 
1
858.0
 
1

Length

Max length6
Median length4
Mean length4.0175439
Min length3

Unique

Unique4 ?
Unique (%)7.0%

Sample

1st row<NA>
2nd row<NA>
3rd row811.0
4th row1244.0
5th row858.0

Common Values

ValueCountFrequency (%)
<NA> 48
84.2%
0.0 5
 
8.8%
811.0 1
 
1.8%
1244.0 1
 
1.8%
858.0 1
 
1.8%
1507.7 1
 
1.8%

Length

2024-04-30T04:11:28.791998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:28.907840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
84.2%
0.0 5
 
8.8%
811.0 1
 
1.8%
1244.0 1
 
1.8%
858.0 1
 
1.8%
1507.7 1
 
1.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
0 2
 
3.5%

Length

2024-04-30T04:11:29.088351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:29.195107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
96.5%
0 2
 
3.5%

Length

2024-04-30T04:11:29.331342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:29.481649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

시설규모
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
48 
0
5 
811
 
1
1244
 
1
858
 
1

Length

Max length4
Median length4
Mean length3.7017544
Min length1

Unique

Unique4 ?
Unique (%)7.0%

Sample

1st row<NA>
2nd row<NA>
3rd row811
4th row1244
5th row858

Common Values

ValueCountFrequency (%)
<NA> 48
84.2%
0 5
 
8.8%
811 1
 
1.8%
1244 1
 
1.8%
858 1
 
1.8%
1508 1
 
1.8%

Length

2024-04-30T04:11:29.647191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:29.834402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
84.2%
0 5
 
8.8%
811 1
 
1.8%
1244 1
 
1.8%
858 1
 
1.8%
1508 1
 
1.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03210000CDFE123000199100000119910430<NA>4취소/말소/만료/정지/중지35직권말소20180510<NA><NA><NA>2105-8131<NA>137862서울특별시 서초구 서초동 1355-0번지서울특별시 서초구 효령로72길 60 (서초동)137862한전아트센터2018-06-07 17:24:22I2018-08-31 23:59:59.0<NA>202406.470363442611.97283공연장공연장<NA><NA>기타<NA><NA>문화시설31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13210000CDFE123000199100000219910430<NA>3폐업3폐업20210219<NA><NA><NA>526-9681<NA>137893서울특별시 서초구 양재동 202서울특별시 서초구 바우뫼로12길 70 (양재동)<NA>더케이아트홀2021-02-19 10:45:40U2021-02-21 02:40:00.0<NA>202833.261654440511.561175공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23210000CDFE123000199300000119930715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>137713서울특별시 서초구 반포동 19-1번지 고속터미널 5층서울특별시 서초구 신반포로 162 (반포동,고속터미널 5층)<NA>반포시네마 1관2003-04-18 11:31:33I2018-08-31 23:59:59.0<NA>200115.143203444741.437478공연장공연장<NA>10<NA><NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>811.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>811
33210000CDFE123000199300000219930715<NA>1영업/정상13영업중<NA><NA><NA><NA>3477-5004<NA>137713서울특별시 서초구 반포동 19-4번지 고속버스터미널 5층서울특별시 서초구 신반포로 194 (반포동,고속버스터미널 5층)<NA>반포시네마 2관2003-04-18 11:31:33I2018-08-31 23:59:59.0<NA>200554.743958444811.364826공연장공연장<NA>10<NA><NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1244.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1244
43210000CDFE123000199400000119940618<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>137713서울특별시 서초구 반포동 19-4번지 고속버스터미날 5층서울특별시 서초구 신반포로 194 (반포동,고속버스터미날 5층)<NA>반포시네마 3관2003-04-18 11:31:33I2018-08-31 23:59:59.0<NA>200554.743958444811.364826공연장공연장<NA>10<NA><NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>858.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>858
53210000CDFE123000199600000119960528<NA>3폐업3폐업20110114<NA><NA><NA>594-8557<NA>137852서울특별시 서초구 방배동 1823-0번지서울특별시 서초구 동작대로 134 (방배동)<NA>씨네맥스 영화관(1관)2011-01-14 10:20:47I2018-08-31 23:59:59.0<NA>198416.687504442938.699954공연장공연장<NA>0<NA><NA><NA>근린생활시설00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1507.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1508
63210000CDFE123000199600000219961030<NA>1영업/정상13영업중<NA><NA><NA><NA>02-580-1301<NA>137070서울특별시 서초구 서초동 700<NA><NA>예술의전당 토월극장2022-07-18 15:32:10U2021-12-06 22:00:00.0<NA>201278.64789442099.753092<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73210000CDFE123000199600000319961030<NA>1영업/정상13영업중<NA><NA><NA><NA>02-580-1300<NA>137070서울특별시 서초구 서초동 700<NA><NA>예술의전당 자유소극장2022-07-18 15:32:44U2021-12-06 22:00:00.0<NA>201278.64789442099.753092<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83210000CDFE123000200000000120000510<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>137915서울특별시 서초구 양재동 202-0번지 서울교육문화회관 야외수영장서울특별시 서초구 바우뫼로12길 70 (양재동,서울교육문화회관 야외수영장)<NA>(주)광개토문화2020-01-03 09:24:55U2020-01-05 02:40:00.0<NA>202833.261654440511.561175공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
93210000CDFE123000200000000220000421<NA>1영업/정상13영업중<NA><NA><NA><NA>02-580-1301<NA>137070서울특별시 서초구 서초동 700서울특별시 서초구 남부순환로 2406 (서초동)137718예술의전당 리사이틀홀2022-07-18 15:32:54U2021-12-06 22:00:00.0<NA>201278.64789442099.753092<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
473210000CDFE123000202100000420210616<NA>1영업/정상13영업중<NA><NA><NA><NA>02-734-3348<NA><NA>서울특별시 서초구 서초동 1451-84서울특별시 서초구 효령로52길 57, B1층 (서초동)06719Sound3602021-06-16 13:47:51I2021-06-18 00:22:54.0<NA>201096.43603442179.026389공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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493210000CDFE12300020220000012022-07-20<NA>3폐업3폐업2023-10-04<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1461-2 삼현빌딩서울특별시 서초구 반포대로9길 3, 삼현빌딩 지하1층 (서초동)06710247아트플랫폼2023-10-04 18:48:07U2022-10-31 00:07:00.0<NA>200945.719426442335.479296<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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