Overview

Dataset statistics

Number of variables60
Number of observations254
Missing cells6232
Missing cells (%)40.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory128.9 KiB
Average record size in memory519.5 B

Variable types

Categorical25
Text5
DateTime6
Unsupported20
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16842/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
도로명우편번호 has a high cardinality: 51 distinct valuesHigh cardinality
지역구분명 is highly imbalanced (84.2%)Imbalance
주변환경명 is highly imbalanced (86.2%)Imbalance
건물용도명 is highly imbalanced (78.4%)Imbalance
지하층수 is highly imbalanced (64.3%)Imbalance
객실수 is highly imbalanced (58.8%)Imbalance
건축연면적 is highly imbalanced (58.8%)Imbalance
선박총톤수 is highly imbalanced (58.8%)Imbalance
선박척수 is highly imbalanced (58.8%)Imbalance
무대면적 is highly imbalanced (58.8%)Imbalance
좌석수 is highly imbalanced (58.8%)Imbalance
회의실별동시수용인원 is highly imbalanced (58.8%)Imbalance
시설면적 is highly imbalanced (54.9%)Imbalance
놀이시설수 is highly imbalanced (58.8%)Imbalance
자본금 is highly imbalanced (58.8%)Imbalance
시설규모 is highly imbalanced (54.9%)Imbalance
인허가취소일자 has 254 (100.0%) missing valuesMissing
폐업일자 has 162 (63.8%) missing valuesMissing
휴업시작일자 has 246 (96.9%) missing valuesMissing
휴업종료일자 has 246 (96.9%) missing valuesMissing
재개업일자 has 254 (100.0%) missing valuesMissing
전화번호 has 51 (20.1%) missing valuesMissing
소재지면적 has 254 (100.0%) missing valuesMissing
도로명주소 has 5 (2.0%) missing valuesMissing
업태구분명 has 254 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.2%) missing valuesMissing
좌표정보(Y) has 3 (1.2%) missing valuesMissing
총층수 has 217 (85.4%) missing valuesMissing
제작취급품목내용 has 254 (100.0%) missing valuesMissing
보험기관명 has 254 (100.0%) missing valuesMissing
지상층수 has 219 (86.2%) missing valuesMissing
영문상호명 has 254 (100.0%) missing valuesMissing
영문상호주소 has 254 (100.0%) missing valuesMissing
선박제원 has 254 (100.0%) missing valuesMissing
기념품종류 has 254 (100.0%) missing valuesMissing
놀이기구수내역 has 254 (100.0%) missing valuesMissing
방송시설유무 has 254 (100.0%) missing valuesMissing
발전시설유무 has 254 (100.0%) missing valuesMissing
의무실유무 has 254 (100.0%) missing valuesMissing
안내소유무 has 254 (100.0%) missing valuesMissing
기획여행보험시작일자 has 254 (100.0%) missing valuesMissing
기획여행보험종료일자 has 254 (100.0%) missing valuesMissing
보험시작일자 has 254 (100.0%) missing valuesMissing
보험종료일자 has 254 (100.0%) missing valuesMissing
부대시설내역 has 254 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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 22 (8.7%) zerosZeros
지상층수 has 24 (9.4%) zerosZeros

Reproduction

Analysis started2024-05-11 03:52:09.981323
Analysis finished2024-05-11 03:52:12.075106
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3000000
254 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3000000 254
100.0%

Length

2024-05-11T03:52:12.375804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:12.794439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 254
100.0%

관리번호
Text

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T03:52:13.272990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5080
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

Unique254 ?
Unique (%)100.0%

Sample

1st rowCDFE1230001989000001
2nd rowCDFE1230001993000001
3rd rowCDFE1230002002000005
4th rowCDFE1230002002000006
5th rowCDFE1230002002000007
ValueCountFrequency (%)
cdfe1230001989000001 1
 
0.4%
cdfe1230002015000013 1
 
0.4%
cdfe1230002015000015 1
 
0.4%
cdfe1230002015000001 1
 
0.4%
cdfe1230002015000002 1
 
0.4%
cdfe1230002015000003 1
 
0.4%
cdfe1230002015000004 1
 
0.4%
cdfe1230002015000005 1
 
0.4%
cdfe1230002015000006 1
 
0.4%
cdfe1230002015000007 1
 
0.4%
Other values (244) 244
96.1%
2024-05-11T03:52:14.372927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2306
45.4%
2 619
 
12.2%
1 510
 
10.0%
3 333
 
6.6%
C 254
 
5.0%
D 254
 
5.0%
F 254
 
5.0%
E 254
 
5.0%
4 82
 
1.6%
5 64
 
1.3%
Other values (4) 150
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4064
80.0%
Uppercase Letter 1016
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2306
56.7%
2 619
 
15.2%
1 510
 
12.5%
3 333
 
8.2%
4 82
 
2.0%
5 64
 
1.6%
6 41
 
1.0%
7 40
 
1.0%
9 35
 
0.9%
8 34
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 254
25.0%
D 254
25.0%
F 254
25.0%
E 254
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4064
80.0%
Latin 1016
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2306
56.7%
2 619
 
15.2%
1 510
 
12.5%
3 333
 
8.2%
4 82
 
2.0%
5 64
 
1.6%
6 41
 
1.0%
7 40
 
1.0%
9 35
 
0.9%
8 34
 
0.8%
Latin
ValueCountFrequency (%)
C 254
25.0%
D 254
25.0%
F 254
25.0%
E 254
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2306
45.4%
2 619
 
12.2%
1 510
 
10.0%
3 333
 
6.6%
C 254
 
5.0%
D 254
 
5.0%
F 254
 
5.0%
E 254
 
5.0%
4 82
 
1.6%
5 64
 
1.3%
Other values (4) 150
 
3.0%

인허가일자
Date

Distinct192
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1989-03-10 00:00:00
Maximum2024-01-23 00:00:00
2024-05-11T03:52:14.834675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:52:15.279122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
154 
3
90 
2
 
8
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 154
60.6%
3 90
35.4%
2 8
 
3.1%
4 2
 
0.8%

Length

2024-05-11T03:52:15.646188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:16.169276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 154
60.6%
3 90
35.4%
2 8
 
3.1%
4 2
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
154 
폐업
90 
휴업
 
8
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.9133858
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 154
60.6%
폐업 90
35.4%
휴업 8
 
3.1%
취소/말소/만료/정지/중지 2
 
0.8%

Length

2024-05-11T03:52:16.591912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:17.071179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 154
60.6%
폐업 90
35.4%
휴업 8
 
3.1%
취소/말소/만료/정지/중지 2
 
0.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
154 
3
90 
2
 
8
35
 
2

Length

Max length2
Median length2
Mean length1.6141732
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 154
60.6%
3 90
35.4%
2 8
 
3.1%
35 2
 
0.8%

Length

2024-05-11T03:52:17.577447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:18.320120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 154
60.6%
3 90
35.4%
2 8
 
3.1%
35 2
 
0.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
154 
폐업
90 
휴업
 
8
직권말소
 
2

Length

Max length4
Median length3
Mean length2.6220472
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 154
60.6%
폐업 90
35.4%
휴업 8
 
3.1%
직권말소 2
 
0.8%

Length

2024-05-11T03:52:18.801661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:19.181373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 154
60.6%
폐업 90
35.4%
휴업 8
 
3.1%
직권말소 2
 
0.8%

폐업일자
Date

MISSING 

Distinct79
Distinct (%)85.9%
Missing162
Missing (%)63.8%
Memory size2.1 KiB
Minimum2005-04-14 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T03:52:19.577986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:52:20.377743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct6
Distinct (%)75.0%
Missing246
Missing (%)96.9%
Memory size2.1 KiB
Minimum2022-11-01 00:00:00
Maximum2023-11-20 00:00:00
2024-05-11T03:52:21.123560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:52:21.428475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)25.0%
Missing246
Missing (%)96.9%
Memory size2.1 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-31 00:00:00
2024-05-11T03:52:21.759388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:52:22.199876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

전화번호
Text

MISSING 

Distinct158
Distinct (%)77.8%
Missing51
Missing (%)20.1%
Memory size2.1 KiB
2024-05-11T03:52:22.971647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.655172
Min length8

Characters and Unicode

Total characters2163
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

Unique127 ?
Unique (%)62.6%

Sample

1st row766-3390
2nd row708-5003
3rd row02-3668-0005
4th row02-3668-0005
5th row766-3390
ValueCountFrequency (%)
02-399-1624 5
 
2.5%
02-3481-8842 4
 
2.0%
747-2117 4
 
2.0%
766-2022 3
 
1.5%
02-765-6503 3
 
1.5%
02-743-4667 3
 
1.5%
02-766-2115 3
 
1.5%
02-742-9637 3
 
1.5%
766-3390 3
 
1.5%
02-6404-5005 3
 
1.5%
Other values (148) 169
83.3%
2024-05-11T03:52:24.269065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 343
15.9%
0 327
15.1%
2 282
13.0%
7 260
12.0%
6 197
9.1%
4 166
7.7%
3 146
6.7%
1 135
 
6.2%
8 108
 
5.0%
5 107
 
4.9%
Other values (2) 92
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1813
83.8%
Dash Punctuation 343
 
15.9%
Close Punctuation 7
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 327
18.0%
2 282
15.6%
7 260
14.3%
6 197
10.9%
4 166
9.2%
3 146
8.1%
1 135
7.4%
8 108
 
6.0%
5 107
 
5.9%
9 85
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 343
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2163
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 343
15.9%
0 327
15.1%
2 282
13.0%
7 260
12.0%
6 197
9.1%
4 166
7.7%
3 146
6.7%
1 135
 
6.2%
8 108
 
5.0%
5 107
 
4.9%
Other values (2) 92
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 343
15.9%
0 327
15.1%
2 282
13.0%
7 260
12.0%
6 197
9.1%
4 166
7.7%
3 146
6.7%
1 135
 
6.2%
8 108
 
5.0%
5 107
 
4.9%
Other values (2) 92
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Categorical

Distinct36
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
105 
110809
36 
110510
19 
110-809
12 
110530
 
10
Other values (31)
72 

Length

Max length7
Median length6
Mean length5.2795276
Min length4

Unique

Unique14 ?
Unique (%)5.5%

Sample

1st row110809
2nd row110470
3rd row<NA>
4th row<NA>
5th row110809

Common Values

ValueCountFrequency (%)
<NA> 105
41.3%
110809 36
 
14.2%
110510 19
 
7.5%
110-809 12
 
4.7%
110530 10
 
3.9%
110522 10
 
3.9%
110460 7
 
2.8%
110521 5
 
2.0%
110524 4
 
1.6%
110111 3
 
1.2%
Other values (26) 43
16.9%

Length

2024-05-11T03:52:24.825804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 105
41.3%
110809 36
 
14.2%
110510 19
 
7.5%
110-809 12
 
4.7%
110530 10
 
3.9%
110522 10
 
3.9%
110460 7
 
2.8%
110521 5
 
2.0%
110524 4
 
1.6%
110280 3
 
1.2%
Other values (26) 43
16.9%

지번주소
Text

Distinct220
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T03:52:25.651700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length22.507874
Min length17

Characters and Unicode

Total characters5717
Distinct characters150
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

Unique191 ?
Unique (%)75.2%

Sample

1st row서울특별시 종로구 동숭동 1-5번지
2nd row서울특별시 종로구 연지동 270
3rd row서울특별시 종로구 동숭동 1-111 한국문예회관
4th row서울특별시 종로구 동숭동 1-111 한국문예회관
5th row서울특별시 종로구 동숭동 1-5번지
ValueCountFrequency (%)
서울특별시 254
21.9%
종로구 254
21.9%
동숭동 129
 
11.1%
혜화동 29
 
2.5%
지하1층 21
 
1.8%
명륜2가 17
 
1.5%
명륜4가 11
 
0.9%
지하2층 9
 
0.8%
지하 7
 
0.6%
연건동 7
 
0.6%
Other values (276) 420
36.3%
2024-05-11T03:52:27.283057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1027
18.0%
동 340
 
5.9%
1 325
 
5.7%
로 273
 
4.8%
종 263
 
4.6%
서 260
 
4.5%
시 258
 
4.5%
구 257
 
4.5%
울 257
 
4.5%
특 254
 
4.4%
Other values (140) 2203
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3446
60.3%
Space Separator 1027
 
18.0%
Decimal Number 983
 
17.2%
Dash Punctuation 225
 
3.9%
Uppercase Letter 15
 
0.3%
Other Punctuation 12
 
0.2%
Math Symbol 5
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 340
 
9.9%
로 273
 
7.9%
종 263
 
7.6%
서 260
 
7.5%
시 258
 
7.5%
구 257
 
7.5%
울 257
 
7.5%
특 254
 
7.4%
별 254
 
7.4%
지 136
 
3.9%
Other values (116) 894
25.9%
Decimal Number
ValueCountFrequency (%)
1 325
33.1%
2 134
13.6%
3 96
 
9.8%
8 82
 
8.3%
4 82
 
8.3%
5 66
 
6.7%
9 58
 
5.9%
0 49
 
5.0%
7 47
 
4.8%
6 44
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
26.7%
J 3
20.0%
N 3
20.0%
T 2
13.3%
S 1
 
6.7%
A 1
 
6.7%
C 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 10
83.3%
. 2
 
16.7%
Space Separator
ValueCountFrequency (%)
1027
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 225
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3446
60.3%
Common 2256
39.5%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 340
 
9.9%
로 273
 
7.9%
종 263
 
7.6%
서 260
 
7.5%
시 258
 
7.5%
구 257
 
7.5%
울 257
 
7.5%
특 254
 
7.4%
별 254
 
7.4%
지 136
 
3.9%
Other values (116) 894
25.9%
Common
ValueCountFrequency (%)
1027
45.5%
1 325
 
14.4%
- 225
 
10.0%
2 134
 
5.9%
3 96
 
4.3%
8 82
 
3.6%
4 82
 
3.6%
5 66
 
2.9%
9 58
 
2.6%
0 49
 
2.2%
Other values (7) 112
 
5.0%
Latin
ValueCountFrequency (%)
B 4
26.7%
J 3
20.0%
N 3
20.0%
T 2
13.3%
S 1
 
6.7%
A 1
 
6.7%
C 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3446
60.3%
ASCII 2271
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1027
45.2%
1 325
 
14.3%
- 225
 
9.9%
2 134
 
5.9%
3 96
 
4.2%
8 82
 
3.6%
4 82
 
3.6%
5 66
 
2.9%
9 58
 
2.6%
0 49
 
2.2%
Other values (14) 127
 
5.6%
Hangul
ValueCountFrequency (%)
동 340
 
9.9%
로 273
 
7.9%
종 263
 
7.6%
서 260
 
7.5%
시 258
 
7.5%
구 257
 
7.5%
울 257
 
7.5%
특 254
 
7.4%
별 254
 
7.4%
지 136
 
3.9%
Other values (116) 894
25.9%

도로명주소
Text

MISSING 

Distinct232
Distinct (%)93.2%
Missing5
Missing (%)2.0%
Memory size2.1 KiB
2024-05-11T03:52:28.030389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length29.967871
Min length22

Characters and Unicode

Total characters7462
Distinct characters175
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)87.1%

Sample

1st row서울특별시 종로구 동숭길 122 (동숭동)
2nd row서울특별시 종로구 종로33길 15 (연지동)
3rd row서울특별시 종로구 대학로8길 7, 한국문예회관 (동숭동)
4th row서울특별시 종로구 대학로8길 7, 한국문예회관 (동숭동)
5th row서울특별시 종로구 동숭길 122 (동숭동)
ValueCountFrequency (%)
서울특별시 249
 
17.1%
종로구 249
 
17.1%
동숭동 114
 
7.8%
지하1층 61
 
4.2%
동숭길 42
 
2.9%
대학로12길 28
 
1.9%
혜화동 26
 
1.8%
대학로8가길 24
 
1.6%
대학로 20
 
1.4%
이화장길 17
 
1.2%
Other values (296) 629
43.1%
2024-05-11T03:52:29.242630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1222
 
16.4%
로 441
 
5.9%
동 385
 
5.2%
1 278
 
3.7%
종 263
 
3.5%
서 254
 
3.4%
시 253
 
3.4%
) 252
 
3.4%
구 252
 
3.4%
( 252
 
3.4%
Other values (165) 3610
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4468
59.9%
Space Separator 1222
 
16.4%
Decimal Number 1000
 
13.4%
Close Punctuation 252
 
3.4%
Open Punctuation 252
 
3.4%
Other Punctuation 214
 
2.9%
Dash Punctuation 33
 
0.4%
Uppercase Letter 10
 
0.1%
Lowercase Letter 6
 
0.1%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 441
 
9.9%
동 385
 
8.6%
종 263
 
5.9%
서 254
 
5.7%
시 253
 
5.7%
구 252
 
5.6%
울 251
 
5.6%
별 249
 
5.6%
특 249
 
5.6%
길 182
 
4.1%
Other values (137) 1689
37.8%
Decimal Number
ValueCountFrequency (%)
1 278
27.8%
2 187
18.7%
3 102
 
10.2%
4 91
 
9.1%
5 72
 
7.2%
8 72
 
7.2%
0 61
 
6.1%
6 53
 
5.3%
9 42
 
4.2%
7 42
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 5
50.0%
N 1
 
10.0%
C 1
 
10.0%
U 1
 
10.0%
J 1
 
10.0%
W 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 213
99.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4468
59.9%
Common 2978
39.9%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 441
 
9.9%
동 385
 
8.6%
종 263
 
5.9%
서 254
 
5.7%
시 253
 
5.7%
구 252
 
5.6%
울 251
 
5.6%
별 249
 
5.6%
특 249
 
5.6%
길 182
 
4.1%
Other values (137) 1689
37.8%
Common
ValueCountFrequency (%)
1222
41.0%
1 278
 
9.3%
) 252
 
8.5%
( 252
 
8.5%
, 213
 
7.2%
2 187
 
6.3%
3 102
 
3.4%
4 91
 
3.1%
5 72
 
2.4%
8 72
 
2.4%
Other values (7) 237
 
8.0%
Latin
ValueCountFrequency (%)
B 5
31.2%
e 2
 
12.5%
N 1
 
6.2%
C 1
 
6.2%
U 1
 
6.2%
c 1
 
6.2%
n 1
 
6.2%
t 1
 
6.2%
r 1
 
6.2%
J 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4468
59.9%
ASCII 2994
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1222
40.8%
1 278
 
9.3%
) 252
 
8.4%
( 252
 
8.4%
, 213
 
7.1%
2 187
 
6.2%
3 102
 
3.4%
4 91
 
3.0%
5 72
 
2.4%
8 72
 
2.4%
Other values (18) 253
 
8.5%
Hangul
ValueCountFrequency (%)
로 441
 
9.9%
동 385
 
8.6%
종 263
 
5.9%
서 254
 
5.7%
시 253
 
5.7%
구 252
 
5.6%
울 251
 
5.6%
별 249
 
5.6%
특 249
 
5.6%
길 182
 
4.1%
Other values (137) 1689
37.8%

도로명우편번호
Categorical

HIGH CARDINALITY 

Distinct51
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
87 
03086
42 
110510
16 
03084
14 
110809
9 
Other values (46)
86 

Length

Max length7
Median length6
Mean length4.9370079
Min length4

Unique

Unique26 ?
Unique (%)10.2%

Sample

1st row<NA>
2nd row<NA>
3rd row03086
4th row03086
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 87
34.3%
03086 42
16.5%
110510 16
 
6.3%
03084 14
 
5.5%
110809 9
 
3.5%
03085 8
 
3.1%
110522 6
 
2.4%
03088 5
 
2.0%
03073 4
 
1.6%
110460 3
 
1.2%
Other values (41) 60
23.6%

Length

2024-05-11T03:52:29.801158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 87
34.3%
03086 42
16.5%
110510 16
 
6.3%
03084 14
 
5.5%
110809 9
 
3.5%
03085 8
 
3.1%
110522 6
 
2.4%
03088 5
 
2.0%
03073 4
 
1.6%
110-530 3
 
1.2%
Other values (41) 60
23.6%

사업장명
Text

Distinct250
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T03:52:30.703572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length7.5629921
Min length2

Characters and Unicode

Total characters1921
Distinct characters302
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

Unique247 ?
Unique (%)97.2%

Sample

1st row동숭아트센타
2nd row두산아트센터 연강홀
3rd row아르코예술극장대극장
4th row아르코예술극장소극장
5th row소극장
ValueCountFrequency (%)
소극장 22
 
5.6%
2관 14
 
3.6%
1관 13
 
3.3%
대학로 7
 
1.8%
hall 7
 
1.8%
art 6
 
1.5%
3관 5
 
1.3%
씨어터 5
 
1.3%
링크아트센터드림 4
 
1.0%
제이티앤 4
 
1.0%
Other values (261) 305
77.8%
2024-05-11T03:52:32.077150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
7.2%
극 96
 
5.0%
장 88
 
4.6%
아 76
 
4.0%
트 67
 
3.5%
관 59
 
3.1%
홀 59
 
3.1%
터 58
 
3.0%
소 47
 
2.4%
스 45
 
2.3%
Other values (292) 1188
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1557
81.1%
Space Separator 138
 
7.2%
Uppercase Letter 99
 
5.2%
Decimal Number 80
 
4.2%
Lowercase Letter 25
 
1.3%
Open Punctuation 10
 
0.5%
Close Punctuation 10
 
0.5%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
극 96
 
6.2%
장 88
 
5.7%
아 76
 
4.9%
트 67
 
4.3%
관 59
 
3.8%
홀 59
 
3.8%
터 58
 
3.7%
소 47
 
3.0%
스 45
 
2.9%
어 43
 
2.8%
Other values (248) 919
59.0%
Uppercase Letter
ValueCountFrequency (%)
A 13
13.1%
L 11
11.1%
T 11
11.1%
J 10
10.1%
S 9
9.1%
N 9
9.1%
H 7
7.1%
R 7
7.1%
C 5
 
5.1%
E 4
 
4.0%
Other values (10) 13
13.1%
Lowercase Letter
ValueCountFrequency (%)
l 5
20.0%
a 4
16.0%
r 3
12.0%
h 2
 
8.0%
t 2
 
8.0%
e 2
 
8.0%
u 2
 
8.0%
c 1
 
4.0%
d 1
 
4.0%
n 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
2 29
36.2%
1 26
32.5%
3 10
 
12.5%
4 10
 
12.5%
0 3
 
3.8%
6 1
 
1.2%
7 1
 
1.2%
Space Separator
ValueCountFrequency (%)
138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1557
81.1%
Common 240
 
12.5%
Latin 124
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
극 96
 
6.2%
장 88
 
5.7%
아 76
 
4.9%
트 67
 
4.3%
관 59
 
3.8%
홀 59
 
3.8%
터 58
 
3.7%
소 47
 
3.0%
스 45
 
2.9%
어 43
 
2.8%
Other values (248) 919
59.0%
Latin
ValueCountFrequency (%)
A 13
 
10.5%
L 11
 
8.9%
T 11
 
8.9%
J 10
 
8.1%
S 9
 
7.3%
N 9
 
7.3%
H 7
 
5.6%
R 7
 
5.6%
C 5
 
4.0%
l 5
 
4.0%
Other values (22) 37
29.8%
Common
ValueCountFrequency (%)
138
57.5%
2 29
 
12.1%
1 26
 
10.8%
( 10
 
4.2%
3 10
 
4.2%
4 10
 
4.2%
) 10
 
4.2%
0 3
 
1.2%
6 1
 
0.4%
7 1
 
0.4%
Other values (2) 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1557
81.1%
ASCII 364
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
37.9%
2 29
 
8.0%
1 26
 
7.1%
A 13
 
3.6%
L 11
 
3.0%
T 11
 
3.0%
( 10
 
2.7%
J 10
 
2.7%
3 10
 
2.7%
4 10
 
2.7%
Other values (34) 96
26.4%
Hangul
ValueCountFrequency (%)
극 96
 
6.2%
장 88
 
5.7%
아 76
 
4.9%
트 67
 
4.3%
관 59
 
3.8%
홀 59
 
3.8%
터 58
 
3.7%
소 47
 
3.0%
스 45
 
2.9%
어 43
 
2.8%
Other values (248) 919
59.0%

최종수정일자
Date

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2005-05-18 09:39:36
Maximum2024-05-09 13:07:26
2024-05-11T03:52:32.518493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:52:33.064429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
U
187 
I
67 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 187
73.6%
I 67
 
26.4%

Length

2024-05-11T03:52:33.583678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:33.902236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 187
73.6%
i 67
 
26.4%

데이터갱신일자
Date

Distinct129
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T03:52:34.279635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:52:34.837940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)61.4%
Missing3
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean199913.33
Minimum196759.96
Maximum201209.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T03:52:35.448213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196759.96
5-th percentile197979.98
Q1199965.02
median200158.82
Q3200258.68
95-th percentile200342.41
Maximum201209.94
Range4449.9892
Interquartile range (IQR)293.65838

Descriptive statistics

Standard deviation709.28667
Coefficient of variation (CV)0.0035479709
Kurtosis6.2583598
Mean199913.33
Median Absolute Deviation (MAD)121.37397
Skewness-2.5336373
Sum50178245
Variance503087.58
MonotonicityNot monotonic
2024-05-11T03:52:35.958153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200153.322797562 6
 
2.4%
200221.159827079 5
 
2.0%
197804.357783157 5
 
2.0%
200136.734882861 5
 
2.0%
200258.68186666 4
 
1.6%
200278.492507743 4
 
1.6%
200257.115683163 4
 
1.6%
200113.874740135 4
 
1.6%
198883.495161441 4
 
1.6%
200279.216755423 3
 
1.2%
Other values (144) 207
81.5%
ValueCountFrequency (%)
196759.955396097 1
 
0.4%
196809.4580779 1
 
0.4%
197092.887973198 1
 
0.4%
197342.22089531 1
 
0.4%
197487.974635557 1
 
0.4%
197542.319572426 2
 
0.8%
197604.691668438 1
 
0.4%
197804.357783157 5
2.0%
198155.599359266 1
 
0.4%
198326.378176607 1
 
0.4%
ValueCountFrequency (%)
201209.944592706 1
0.4%
200815.242722276 1
0.4%
200717.7490316 1
0.4%
200436.561376204 1
0.4%
200397.409356853 1
0.4%
200386.164443904 2
0.8%
200365.500256601 1
0.4%
200354.626625299 2
0.8%
200353.602209473 1
0.4%
200346.522840496 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)61.4%
Missing3
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean453213.18
Minimum451852.44
Maximum454825.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T03:52:36.582398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451852.44
5-th percentile452216.54
Q1453074.05
median453309.5
Q3453460.39
95-th percentile453844.72
Maximum454825.94
Range2973.4951
Interquartile range (IQR)386.34288

Descriptive statistics

Standard deviation461.2327
Coefficient of variation (CV)0.0010176948
Kurtosis1.6483974
Mean453213.18
Median Absolute Deviation (MAD)191.70796
Skewness-0.82690605
Sum1.1375651 × 108
Variance212735.6
MonotonicityNot monotonic
2024-05-11T03:52:37.079916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453332.518876344 6
 
2.4%
453443.564354976 5
 
2.0%
452216.539274871 5
 
2.0%
453589.791391142 5
 
2.0%
453211.209897985 4
 
1.6%
452703.843003362 4
 
1.6%
453485.12004217 4
 
1.6%
453549.526436303 4
 
1.6%
451852.440739439 4
 
1.6%
453107.344919532 3
 
1.2%
Other values (144) 207
81.5%
ValueCountFrequency (%)
451852.440739439 4
1.6%
451907.954467815 1
 
0.4%
451945.821955137 1
 
0.4%
452011.865092338 1
 
0.4%
452039.262262313 2
 
0.8%
452178.774541021 2
 
0.8%
452216.539274871 5
2.0%
452253.942584507 1
 
0.4%
452289.752900745 1
 
0.4%
452357.959432655 1
 
0.4%
ValueCountFrequency (%)
454825.935833975 1
0.4%
454227.479528793 2
0.8%
454185.615565081 1
0.4%
454052.866640518 1
0.4%
454005.436059664 1
0.4%
453990.277739872 1
0.4%
453933.055898075 1
0.4%
453921.081146483 1
0.4%
453904.959296456 1
0.4%
453875.492823913 1
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
131 
공연장
123 

Length

Max length4
Median length4
Mean length3.515748
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 131
51.6%
공연장 123
48.4%

Length

2024-05-11T03:52:37.698909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:38.083084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
51.6%
공연장 123
48.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
131 
공연장
123 

Length

Max length4
Median length4
Mean length3.515748
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 131
51.6%
공연장 123
48.4%

Length

2024-05-11T03:52:38.563489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:38.893853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
51.6%
공연장 123
48.4%

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
242 
일반주거지역
 
4
상업지역
 
3
중심상업지역
 
3
일반상업지역
 
2

Length

Max length6
Median length4
Mean length4.0708661
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 242
95.3%
일반주거지역 4
 
1.6%
상업지역 3
 
1.2%
중심상업지역 3
 
1.2%
일반상업지역 2
 
0.8%

Length

2024-05-11T03:52:39.248485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:39.665617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
95.3%
일반주거지역 4
 
1.6%
상업지역 3
 
1.2%
중심상업지역 3
 
1.2%
일반상업지역 2
 
0.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)18.9%
Missing217
Missing (%)85.4%
Infinite0
Infinite (%)0.0%
Mean2.2432432
Minimum0
Maximum11
Zeros22
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T03:52:40.181116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile10
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.7073906
Coefficient of variation (CV)1.6526922
Kurtosis0.56626936
Mean2.2432432
Median Absolute Deviation (MAD)0
Skewness1.4633744
Sum83
Variance13.744745
MonotonicityNot monotonic
2024-05-11T03:52:40.557662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 22
 
8.7%
10 4
 
1.6%
1 4
 
1.6%
7 2
 
0.8%
5 2
 
0.8%
2 2
 
0.8%
11 1
 
0.4%
(Missing) 217
85.4%
ValueCountFrequency (%)
0 22
8.7%
1 4
 
1.6%
2 2
 
0.8%
5 2
 
0.8%
7 2
 
0.8%
10 4
 
1.6%
11 1
 
0.4%
ValueCountFrequency (%)
11 1
 
0.4%
10 4
 
1.6%
7 2
 
0.8%
5 2
 
0.8%
2 2
 
0.8%
1 4
 
1.6%
0 22
8.7%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
244 
기타
 
8
학교정화(상대)
 
1
주택가주변
 
1

Length

Max length8
Median length4
Mean length3.9566929
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 244
96.1%
기타 8
 
3.1%
학교정화(상대) 1
 
0.4%
주택가주변 1
 
0.4%

Length

2024-05-11T03:52:41.147126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:41.588414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 244
96.1%
기타 8
 
3.1%
학교정화(상대 1
 
0.4%
주택가주변 1
 
0.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
237 
근린생활시설
 
11
문화시설
 
5
교육연구시설
 
1

Length

Max length6
Median length4
Mean length4.0944882
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 237
93.3%
근린생활시설 11
 
4.3%
문화시설 5
 
2.0%
교육연구시설 1
 
0.4%

Length

2024-05-11T03:52:42.167806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:42.537324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 237
93.3%
근린생활시설 11
 
4.3%
문화시설 5
 
2.0%
교육연구시설 1
 
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)17.1%
Missing219
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean1.7142857
Minimum0
Maximum10
Zeros24
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T03:52:42.941722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.5
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.7714026
Coefficient of variation (CV)1.6166515
Kurtosis0.80462393
Mean1.7142857
Median Absolute Deviation (MAD)0
Skewness1.3609113
Sum60
Variance7.6806723
MonotonicityNot monotonic
2024-05-11T03:52:43.347978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 24
 
9.4%
6 5
 
2.0%
5 2
 
0.8%
3 2
 
0.8%
10 1
 
0.4%
4 1
 
0.4%
(Missing) 219
86.2%
ValueCountFrequency (%)
0 24
9.4%
3 2
 
0.8%
4 1
 
0.4%
5 2
 
0.8%
6 5
 
2.0%
10 1
 
0.4%
ValueCountFrequency (%)
10 1
 
0.4%
6 5
 
2.0%
5 2
 
0.8%
4 1
 
0.4%
3 2
 
0.8%
0 24
9.4%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
213 
0
22 
1
 
10
4
 
4
2
 
4

Length

Max length4
Median length4
Mean length3.515748
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 213
83.9%
0 22
 
8.7%
1 10
 
3.9%
4 4
 
1.6%
2 4
 
1.6%
5 1
 
0.4%

Length

2024-05-11T03:52:43.747885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:44.091798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 213
83.9%
0 22
 
8.7%
1 10
 
3.9%
4 4
 
1.6%
2 4
 
1.6%
5 1
 
0.4%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
21

Length

Max length4
Median length4
Mean length3.7519685
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> 233
91.7%
0 21
 
8.3%

Length

2024-05-11T03:52:44.639655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:44.963208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
91.7%
0 21
 
8.3%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
21

Length

Max length4
Median length4
Mean length3.7519685
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> 233
91.7%
0 21
 
8.3%

Length

2024-05-11T03:52:45.319275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:45.699032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
91.7%
0 21
 
8.3%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
21

Length

Max length4
Median length4
Mean length3.7519685
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> 233
91.7%
0 21
 
8.3%

Length

2024-05-11T03:52:46.049008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:46.405732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
91.7%
0 21
 
8.3%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
21

Length

Max length4
Median length4
Mean length3.7519685
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> 233
91.7%
0 21
 
8.3%

Length

2024-05-11T03:52:46.848229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:47.332304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
91.7%
0 21
 
8.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
21

Length

Max length4
Median length4
Mean length3.7519685
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> 233
91.7%
0 21
 
8.3%

Length

2024-05-11T03:52:47.649601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:48.022147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
91.7%
0 21
 
8.3%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
21

Length

Max length4
Median length4
Mean length3.7519685
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> 233
91.7%
0 21
 
8.3%

Length

2024-05-11T03:52:48.643163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:49.092979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
91.7%
0 21
 
8.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
21

Length

Max length4
Median length4
Mean length3.7519685
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> 233
91.7%
0 21
 
8.3%

Length

2024-05-11T03:52:49.577673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:50.325108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
91.7%
0 21
 
8.3%

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
230 
0
24 

Length

Max length4
Median length4
Mean length3.7165354
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> 230
90.6%
0 24
 
9.4%

Length

2024-05-11T03:52:50.853735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:51.528209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 230
90.6%
0 24
 
9.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
21

Length

Max length4
Median length4
Mean length3.7519685
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> 233
91.7%
0 21
 
8.3%

Length

2024-05-11T03:52:52.257307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:52.742689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
91.7%
0 21
 
8.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
21

Length

Max length4
Median length4
Mean length3.7519685
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> 233
91.7%
0 21
 
8.3%

Length

2024-05-11T03:52:53.234349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:53.758960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
91.7%
0 21
 
8.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

시설규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
230 
0
24 

Length

Max length4
Median length4
Mean length3.7165354
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> 230
90.6%
0 24
 
9.4%

Length

2024-05-11T03:52:54.321110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:52:54.843248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 230
90.6%
0 24
 
9.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03000000CDFE123000198900000119890310<NA>3폐업3폐업20180430<NA><NA><NA>766-3390<NA>110809서울특별시 종로구 동숭동 1-5번지서울특별시 종로구 동숭길 122 (동숭동)<NA>동숭아트센타2018-05-28 09:14:05I2018-08-31 23:59:59.0<NA>200257.115683453485.120042공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
13000000CDFE123000199300000119930513<NA>1영업/정상13영업중<NA><NA><NA><NA>708-5003<NA>110470서울특별시 종로구 연지동 270서울특별시 종로구 종로33길 15 (연지동)<NA>두산아트센터 연강홀2023-01-06 15:46:55U2022-12-01 00:08:00.0<NA>200038.343054452178.774541<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23000000CDFE12300020020000052002-11-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3668-0005<NA><NA>서울특별시 종로구 동숭동 1-111 한국문예회관서울특별시 종로구 대학로8길 7, 한국문예회관 (동숭동)03086아르코예술극장대극장2023-02-24 13:57:16U2022-12-01 22:06:00.0<NA>200193.164646453210.804103<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFE12300020020000062002-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3668-0005<NA><NA>서울특별시 종로구 동숭동 1-111 한국문예회관서울특별시 종로구 대학로8길 7, 한국문예회관 (동숭동)03086아르코예술극장소극장2023-02-24 13:57:45U2022-12-01 22:06:00.0<NA>200193.164646453210.804103<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43000000CDFE123000200200000720021211<NA>3폐업3폐업20180430<NA><NA><NA>766-3390<NA>110809서울특별시 종로구 동숭동 1-5번지서울특별시 종로구 동숭길 122 (동숭동)<NA>소극장2018-05-28 09:21:24I2018-08-31 23:59:59.0<NA>200257.115683453485.120042공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFE123000200200000820021211<NA>3폐업3폐업20180430<NA><NA><NA>766-3390<NA>110809서울특별시 종로구 동숭동 1-5번지서울특별시 종로구 동숭길 122 (동숭동)<NA>동숭홀2018-05-28 09:19:40I2018-08-31 23:59:59.0<NA>200257.115683453485.120042공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63000000CDFE123000200200000920021217<NA>3폐업3폐업20140206<NA><NA><NA>747-6742<NA>110460서울특별시 종로구 연건동 132-1번지서울특별시 종로구 대학로5길 3-2 (연건동)<NA>극단 연단2014-02-06 21:19:55I2018-08-31 23:59:59.0<NA>200086.415065452876.163936공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFE123000200200001020021223<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3672-2530<NA><NA>서울특별시 종로구 창신동 222-8 종로구구민회관, 보건소통합청서울특별시 종로구 지봉로5길 7-5, 종로구구민회관, 보건소통합청 (창신동)03104창신아트홀2022-11-08 13:15:10U2021-10-31 23:00:00.0<NA>201209.944593452357.959433<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83000000CDFE123000200200001120021227<NA>3폐업3폐업20190729<NA><NA><NA>3673-0555<NA>110809서울특별시 종로구 동숭동 1-81번지서울특별시 종로구 대학로12길 38 (동숭동)<NA>정보소극장2019-08-22 11:35:22U2019-11-20 02:40:00.0<NA>200260.218764453354.404816공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93000000CDFE123000200200001220021231<NA>3폐업3폐업20161221<NA><NA><NA>745-2678<NA>110460서울특별시 종로구 연건동 178-1번지서울특별시 종로구 대학로 60 (연건동)<NA>대학로극장2016-12-21 14:14:34I2018-08-31 23:59:59.0<NA>200158.820022452691.979848공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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
2443000000CDFE123000202200000420221209<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3676-3777<NA><NA>서울특별시 종로구 혜화동 163-24서울특별시 종로구 대학로14길 29, 지하1, 지하2층 (혜화동)03084링크아트센터 페이코홀2023-01-05 09:47:47U2022-12-01 00:07:00.0<NA>200136.734883453589.791391<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2453000000CDFE123000202200000520221212<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3676-3777<NA><NA>서울특별시 종로구 혜화동 163-24서울특별시 종로구 대학로14길 29, 2층, 3층 (혜화동)03084링크아트센터 벅스홀2023-01-05 09:47:30U2022-12-01 00:07:00.0<NA>200136.734883453589.791391<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2463000000CDFE12300020230000012023-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 1-96서울특별시 종로구 대학로10길 26, 지하1층 (동숭동)03086아트하우스2023-02-23 17:09:14I2022-12-01 22:05:00.0<NA>200259.173497453256.20584<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2473000000CDFE12300020230000022023-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2299-8089<NA><NA>서울특별시 종로구 동숭동 1-36서울특별시 종로구 동숭길 145, 지하1층 (동숭동)03086리차드 하우스2023-07-07 10:28:40I2022-12-07 00:09:00.0<NA>200131.419237453430.671944<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2483000000CDFE12300020230000032023-07-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 1-89 석마빌딩서울특별시 종로구 대학로12길 63, 석마빌딩 지하2층 (동숭동)03086도토리씨어터 1관2023-07-19 20:43:24I2022-12-06 22:01:00.0<NA>200285.865438453215.079142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2493000000CDFE12300020230000042023-07-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 1-89 석마빌딩서울특별시 종로구 대학로12길 63, 석마빌딩 지하2층층 (동숭동)03086도토리씨어터 2관2023-07-19 21:03:52I2022-12-06 22:01:00.0<NA>200285.865438453215.079142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2503000000CDFE12300020230000052023-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6949-4989<NA><NA>서울특별시 종로구 동숭동 1-74 효진빌딩서울특별시 종로구 대학로8가길 79, 효진빌딩 지하1, 2층 (동숭동)03086큐씨어터2023-09-25 10:41:59U2022-12-08 22:07:00.0<NA>200243.327275453354.557438<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2513000000CDFE12300020230000062023-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2287-7187<NA><NA>서울특별시 종로구 동숭동 1-38 상명대학교예술디자인센터서울특별시 종로구 동숭길 133, 상명대학교예술디자인센터 지하1층 (동숭동)03086상명아트홀 1관2023-11-07 16:13:02U2022-11-01 00:09:00.0<NA>200171.515872453449.854548<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2523000000CDFE12300020230000072023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 128-16서울특별시 종로구 동숭길 64, 지하1층 (동숭동)03085홍해성 소극장2023-12-19 16:00:37I2022-11-01 22:01:00.0<NA>200315.525649453201.946816<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2533000000CDFE12300020240000012024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-762-7778<NA><NA>서울특별시 종로구 명륜1가 72-3 소석빌딩서울특별시 종로구 성균관로 48-2, 소석빌딩 지층 (명륜1가)03069명륜아트홀2024-01-23 17:42:30I2023-11-30 22:05:00.0<NA>199644.106786453833.482409<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>