Overview

Dataset statistics

Number of variables60
Number of observations32
Missing cells763
Missing cells (%)39.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.5 KiB
Average record size in memory528.1 B

Variable types

Categorical25
Text6
DateTime3
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-16846/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (65.8%)Imbalance
객실수 is highly imbalanced (66.3%)Imbalance
건축연면적 is highly imbalanced (66.3%)Imbalance
선박총톤수 is highly imbalanced (66.3%)Imbalance
선박척수 is highly imbalanced (66.3%)Imbalance
무대면적 is highly imbalanced (66.3%)Imbalance
좌석수 is highly imbalanced (66.3%)Imbalance
회의실별동시수용인원 is highly imbalanced (66.3%)Imbalance
놀이시설수 is highly imbalanced (66.3%)Imbalance
자본금 is highly imbalanced (66.3%)Imbalance
인허가취소일자 has 32 (100.0%) missing valuesMissing
휴업시작일자 has 32 (100.0%) missing valuesMissing
휴업종료일자 has 32 (100.0%) missing valuesMissing
재개업일자 has 32 (100.0%) missing valuesMissing
전화번호 has 4 (12.5%) missing valuesMissing
소재지면적 has 32 (100.0%) missing valuesMissing
소재지우편번호 has 9 (28.1%) missing valuesMissing
도로명주소 has 2 (6.2%) missing valuesMissing
도로명우편번호 has 16 (50.0%) missing valuesMissing
업태구분명 has 32 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.1%) missing valuesMissing
좌표정보(Y) has 1 (3.1%) missing valuesMissing
지역구분명 has 26 (81.2%) missing valuesMissing
제작취급품목내용 has 32 (100.0%) missing valuesMissing
보험기관명 has 32 (100.0%) missing valuesMissing
영문상호명 has 32 (100.0%) missing valuesMissing
영문상호주소 has 32 (100.0%) missing valuesMissing
선박제원 has 32 (100.0%) missing valuesMissing
기념품종류 has 32 (100.0%) missing valuesMissing
놀이기구수내역 has 32 (100.0%) missing valuesMissing
방송시설유무 has 32 (100.0%) missing valuesMissing
발전시설유무 has 32 (100.0%) missing valuesMissing
의무실유무 has 32 (100.0%) missing valuesMissing
안내소유무 has 32 (100.0%) missing valuesMissing
기획여행보험시작일자 has 32 (100.0%) missing valuesMissing
기획여행보험종료일자 has 32 (100.0%) missing valuesMissing
보험시작일자 has 32 (100.0%) missing valuesMissing
보험종료일자 has 32 (100.0%) missing valuesMissing
부대시설내역 has 32 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:50:15.020038
Analysis finished2024-05-11 05:50:15.905992
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
3040000
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 32
100.0%

Length

2024-05-11T14:50:16.066808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:16.266768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 32
100.0%

관리번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T14:50:16.533435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters640
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowCDFE1230001975000001
2nd rowCDFE1230001981000001
3rd rowCDFE1230001992000001
4th rowCDFE1230001998000001
5th rowCDFE1230001998000002
ValueCountFrequency (%)
cdfe1230001975000001 1
 
3.1%
cdfe1230001981000001 1
 
3.1%
cdfe1230002022000001 1
 
3.1%
cdfe1230002021000001 1
 
3.1%
cdfe1230002020000002 1
 
3.1%
cdfe1230002020000001 1
 
3.1%
cdfe1230002013000002 1
 
3.1%
cdfe1230002013000001 1
 
3.1%
cdfe1230002012000001 1
 
3.1%
cdfe1230002010000001 1
 
3.1%
Other values (22) 22
68.8%
2024-05-11T14:50:17.092041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 280
43.8%
1 76
 
11.9%
2 62
 
9.7%
3 37
 
5.8%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
E 32
 
5.0%
9 31
 
4.8%
8 15
 
2.3%
Other values (4) 11
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 512
80.0%
Uppercase Letter 128
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 280
54.7%
1 76
 
14.8%
2 62
 
12.1%
3 37
 
7.2%
9 31
 
6.1%
8 15
 
2.9%
5 4
 
0.8%
7 3
 
0.6%
4 2
 
0.4%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
E 32
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
80.0%
Latin 128
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 280
54.7%
1 76
 
14.8%
2 62
 
12.1%
3 37
 
7.2%
9 31
 
6.1%
8 15
 
2.9%
5 4
 
0.8%
7 3
 
0.6%
4 2
 
0.4%
6 2
 
0.4%
Latin
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
E 32
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 280
43.8%
1 76
 
11.9%
2 62
 
9.7%
3 37
 
5.8%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
E 32
 
5.0%
9 31
 
4.8%
8 15
 
2.3%
Other values (4) 11
 
1.7%

인허가일자
Date

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum1975-09-29 00:00:00
Maximum2023-04-26 00:00:00
2024-05-11T14:50:17.342465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:17.549716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
16 
4
12 
3
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
50.0%
4 12
37.5%
3 4
 
12.5%

Length

2024-05-11T14:50:17.798995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:18.045095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
50.0%
4 12
37.5%
3 4
 
12.5%

영업상태명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업/정상
16 
취소/말소/만료/정지/중지
12 
폐업
4 

Length

Max length14
Median length9.5
Mean length8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 16
50.0%
취소/말소/만료/정지/중지 12
37.5%
폐업 4
 
12.5%

Length

2024-05-11T14:50:18.301313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:18.535741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
50.0%
취소/말소/만료/정지/중지 12
37.5%
폐업 4
 
12.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
13
16 
31
11 
3
4 
35
 
1

Length

Max length2
Median length2
Mean length1.875
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row13
2nd row13
3rd row3
4th row13
5th row31

Common Values

ValueCountFrequency (%)
13 16
50.0%
31 11
34.4%
3 4
 
12.5%
35 1
 
3.1%

Length

2024-05-11T14:50:18.730582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:18.919869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
50.0%
31 11
34.4%
3 4
 
12.5%
35 1
 
3.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업중
16 
등록취소
11 
폐업
4 
직권말소
 
1

Length

Max length4
Median length3.5
Mean length3.25
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 16
50.0%
등록취소 11
34.4%
폐업 4
 
12.5%
직권말소 1
 
3.1%

Length

2024-05-11T14:50:19.113738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:19.774696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
50.0%
등록취소 11
34.4%
폐업 4
 
12.5%
직권말소 1
 
3.1%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
20000615
 
1
20211104
 
1
20171220
 
1
20160104
 
1

Length

Max length8
Median length4
Mean length4.5
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

1st row<NA>
2nd row<NA>
3rd row20000615
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
20000615 1
 
3.1%
20211104 1
 
3.1%
20171220 1
 
3.1%
20160104 1
 
3.1%

Length

2024-05-11T14:50:19.992143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:20.240268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
20000615 1
 
3.1%
20211104 1
 
3.1%
20171220 1
 
3.1%
20160104 1
 
3.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)64.3%
Missing4
Missing (%)12.5%
Memory size388.0 B
2024-05-11T14:50:20.510962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length9.6071429
Min length8

Characters and Unicode

Total characters269
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

Unique17 ?
Unique (%)60.7%

Sample

1st row2204-6024
2nd row2204-1036
3rd row453-0121
4th row3408-3114
5th row3424-1611
ValueCountFrequency (%)
3424-1611 11
39.3%
2049-4700 1
 
3.6%
2204-6024 1
 
3.6%
02-2024-1648 1
 
3.6%
024507575 1
 
3.6%
02-458-4840 1
 
3.6%
02-456-0116 1
 
3.6%
02-3408-3114 1
 
3.6%
02-3436-7777 1
 
3.6%
02)2204-3100 1
 
3.6%
Other values (8) 8
28.6%
2024-05-11T14:50:21.072718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 49
18.2%
4 47
17.5%
- 34
12.6%
2 31
11.5%
0 29
10.8%
3 23
8.6%
6 23
8.6%
5 12
 
4.5%
7 9
 
3.3%
8 8
 
3.0%
Other values (2) 4
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 234
87.0%
Dash Punctuation 34
 
12.6%
Close Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 49
20.9%
4 47
20.1%
2 31
13.2%
0 29
12.4%
3 23
9.8%
6 23
9.8%
5 12
 
5.1%
7 9
 
3.8%
8 8
 
3.4%
9 3
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 269
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 49
18.2%
4 47
17.5%
- 34
12.6%
2 31
11.5%
0 29
10.8%
3 23
8.6%
6 23
8.6%
5 12
 
4.5%
7 9
 
3.3%
8 8
 
3.0%
Other values (2) 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 269
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 49
18.2%
4 47
17.5%
- 34
12.6%
2 31
11.5%
0 29
10.8%
3 23
8.6%
6 23
8.6%
5 12
 
4.5%
7 9
 
3.3%
8 8
 
3.0%
Other values (2) 4
 
1.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)47.8%
Missing9
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean143736.78
Minimum143210
Maximum143847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T14:50:21.289667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143210
5-th percentile143721
Q1143721
median143721
Q3143803.5
95-th percentile143846.4
Maximum143847
Range637
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation125.17259
Coefficient of variation (CV)0.00087084593
Kurtosis15.438606
Mean143736.78
Median Absolute Deviation (MAD)9
Skewness-3.5510167
Sum3305946
Variance15668.178
MonotonicityNot monotonic
2024-05-11T14:50:21.494243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
143721 11
34.4%
143847 2
 
6.2%
143758 2
 
6.2%
143210 1
 
3.1%
143839 1
 
3.1%
143841 1
 
3.1%
143800 1
 
3.1%
143807 1
 
3.1%
143730 1
 
3.1%
143831 1
 
3.1%
(Missing) 9
28.1%
ValueCountFrequency (%)
143210 1
 
3.1%
143721 11
34.4%
143730 1
 
3.1%
143747 1
 
3.1%
143758 2
 
6.2%
143800 1
 
3.1%
143807 1
 
3.1%
143831 1
 
3.1%
143839 1
 
3.1%
143841 1
 
3.1%
ValueCountFrequency (%)
143847 2
 
6.2%
143841 1
 
3.1%
143839 1
 
3.1%
143831 1
 
3.1%
143807 1
 
3.1%
143800 1
 
3.1%
143758 2
 
6.2%
143747 1
 
3.1%
143730 1
 
3.1%
143721 11
34.4%

지번주소
Text

Distinct21
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T14:50:21.813888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length25.03125
Min length16

Characters and Unicode

Total characters801
Distinct characters77
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)59.4%

Sample

1st row서울특별시 광진구 능동 18-11번지
2nd row서울특별시 광진구 능동 25
3rd row서울특별시 광진구 광장동 산 21-0번지
4th row서울특별시 광진구 군자동 98번지
5th row서울특별시 광진구 구의동 546-4번지 테크노마트빌딩
ValueCountFrequency (%)
서울특별시 32
21.8%
광진구 32
21.8%
구의동 12
 
8.2%
546-4번지 11
 
7.5%
테크노마트빌딩 11
 
7.5%
자양동 6
 
4.1%
광장동 4
 
2.7%
능동 4
 
2.7%
군자동 2
 
1.4%
98번지 2
 
1.4%
Other values (29) 31
21.1%
2024-05-11T14:50:22.406025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
17.9%
구 44
 
5.5%
광 36
 
4.5%
서 32
 
4.0%
특 32
 
4.0%
별 32
 
4.0%
시 32
 
4.0%
진 32
 
4.0%
울 32
 
4.0%
동 32
 
4.0%
Other values (67) 354
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
62.9%
Space Separator 143
 
17.9%
Decimal Number 120
 
15.0%
Dash Punctuation 25
 
3.1%
Uppercase Letter 7
 
0.9%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 44
 
8.7%
광 36
 
7.1%
서 32
 
6.3%
특 32
 
6.3%
별 32
 
6.3%
시 32
 
6.3%
진 32
 
6.3%
울 32
 
6.3%
동 32
 
6.3%
지 24
 
4.8%
Other values (46) 176
34.9%
Decimal Number
ValueCountFrequency (%)
4 29
24.2%
5 15
12.5%
1 15
12.5%
6 12
10.0%
3 12
10.0%
2 11
 
9.2%
0 8
 
6.7%
8 7
 
5.8%
7 6
 
5.0%
9 5
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
U 1
14.3%
E 1
14.3%
S 1
14.3%
K 1
14.3%
Y 1
14.3%
B 1
14.3%
L 1
14.3%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
62.9%
Common 290
36.2%
Latin 7
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 44
 
8.7%
광 36
 
7.1%
서 32
 
6.3%
특 32
 
6.3%
별 32
 
6.3%
시 32
 
6.3%
진 32
 
6.3%
울 32
 
6.3%
동 32
 
6.3%
지 24
 
4.8%
Other values (46) 176
34.9%
Common
ValueCountFrequency (%)
143
49.3%
4 29
 
10.0%
- 25
 
8.6%
5 15
 
5.2%
1 15
 
5.2%
6 12
 
4.1%
3 12
 
4.1%
2 11
 
3.8%
0 8
 
2.8%
8 7
 
2.4%
Other values (4) 13
 
4.5%
Latin
ValueCountFrequency (%)
U 1
14.3%
E 1
14.3%
S 1
14.3%
K 1
14.3%
Y 1
14.3%
B 1
14.3%
L 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
62.9%
ASCII 297
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
48.1%
4 29
 
9.8%
- 25
 
8.4%
5 15
 
5.1%
1 15
 
5.1%
6 12
 
4.0%
3 12
 
4.0%
2 11
 
3.7%
0 8
 
2.7%
8 7
 
2.4%
Other values (11) 20
 
6.7%
Hangul
ValueCountFrequency (%)
구 44
 
8.7%
광 36
 
7.1%
서 32
 
6.3%
특 32
 
6.3%
별 32
 
6.3%
시 32
 
6.3%
진 32
 
6.3%
울 32
 
6.3%
동 32
 
6.3%
지 24
 
4.8%
Other values (46) 176
34.9%

도로명주소
Text

MISSING 

Distinct19
Distinct (%)63.3%
Missing2
Missing (%)6.2%
Memory size388.0 B
2024-05-11T14:50:22.763082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length29.7
Min length22

Characters and Unicode

Total characters891
Distinct characters97
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)56.7%

Sample

1st row서울특별시 광진구 광나루로 441 (능동)
2nd row서울특별시 광진구 천호대로 664 (능동, 선화예술중고등학교)
3rd row서울특별시 광진구 광나루로56길 85 (구의동,테크노마트빌딩)
4th row서울특별시 광진구 광나루로56길 85 (구의동,테크노마트빌딩)
5th row서울특별시 광진구 광나루로56길 85 (구의동,테크노마트빌딩)
ValueCountFrequency (%)
서울특별시 30
18.6%
광진구 30
18.6%
광나루로56길 11
 
6.8%
85 11
 
6.8%
구의동,테크노마트빌딩 11
 
6.8%
능동로 7
 
4.3%
자양동 6
 
3.7%
능동 4
 
2.5%
광장동 3
 
1.9%
구천면로 2
 
1.2%
Other values (41) 46
28.6%
2024-05-11T14:50:23.401041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
14.7%
광 46
 
5.2%
구 45
 
5.1%
동 39
 
4.4%
진 31
 
3.5%
서 30
 
3.4%
로 30
 
3.4%
울 30
 
3.4%
) 30
 
3.4%
( 30
 
3.4%
Other values (87) 449
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 574
64.4%
Space Separator 131
 
14.7%
Decimal Number 100
 
11.2%
Close Punctuation 30
 
3.4%
Open Punctuation 30
 
3.4%
Other Punctuation 19
 
2.1%
Uppercase Letter 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 46
 
8.0%
구 45
 
7.8%
동 39
 
6.8%
진 31
 
5.4%
서 30
 
5.2%
로 30
 
5.2%
울 30
 
5.2%
특 30
 
5.2%
시 30
 
5.2%
별 30
 
5.2%
Other values (66) 233
40.6%
Decimal Number
ValueCountFrequency (%)
5 23
23.0%
6 19
19.0%
8 14
14.0%
2 10
10.0%
1 10
10.0%
0 7
 
7.0%
4 5
 
5.0%
7 5
 
5.0%
3 4
 
4.0%
9 3
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
14.3%
B 1
14.3%
L 1
14.3%
U 1
14.3%
E 1
14.3%
S 1
14.3%
Y 1
14.3%
Space Separator
ValueCountFrequency (%)
131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 574
64.4%
Common 310
34.8%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 46
 
8.0%
구 45
 
7.8%
동 39
 
6.8%
진 31
 
5.4%
서 30
 
5.2%
로 30
 
5.2%
울 30
 
5.2%
특 30
 
5.2%
시 30
 
5.2%
별 30
 
5.2%
Other values (66) 233
40.6%
Common
ValueCountFrequency (%)
131
42.3%
) 30
 
9.7%
( 30
 
9.7%
5 23
 
7.4%
6 19
 
6.1%
, 19
 
6.1%
8 14
 
4.5%
2 10
 
3.2%
1 10
 
3.2%
0 7
 
2.3%
Other values (4) 17
 
5.5%
Latin
ValueCountFrequency (%)
K 1
14.3%
B 1
14.3%
L 1
14.3%
U 1
14.3%
E 1
14.3%
S 1
14.3%
Y 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 574
64.4%
ASCII 317
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
41.3%
) 30
 
9.5%
( 30
 
9.5%
5 23
 
7.3%
6 19
 
6.0%
, 19
 
6.0%
8 14
 
4.4%
2 10
 
3.2%
1 10
 
3.2%
0 7
 
2.2%
Other values (11) 24
 
7.6%
Hangul
ValueCountFrequency (%)
광 46
 
8.0%
구 45
 
7.8%
동 39
 
6.8%
진 31
 
5.4%
서 30
 
5.2%
로 30
 
5.2%
울 30
 
5.2%
특 30
 
5.2%
시 30
 
5.2%
별 30
 
5.2%
Other values (66) 233
40.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean65725
Minimum4916
Maximum143847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T14:50:23.602226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4916
5-th percentile4928.75
Q14991
median5076
Q3143801.75
95-th percentile143847
Maximum143847
Range138931
Interquartile range (IQR)138810.75

Descriptive statistics

Standard deviation71115.028
Coefficient of variation (CV)1.0820088
Kurtosis-2.2187311
Mean65725
Median Absolute Deviation (MAD)151.5
Skewness0.27882804
Sum1051600
Variance5.0573472 × 109
MonotonicityNot monotonic
2024-05-11T14:50:23.776336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
143847 2
 
6.2%
4991 2
 
6.2%
5029 1
 
3.1%
143800 1
 
3.1%
143807 1
 
3.1%
143730 1
 
3.1%
4970 1
 
3.1%
143831 1
 
3.1%
143747 1
 
3.1%
5058 1
 
3.1%
Other values (4) 4
 
12.5%
(Missing) 16
50.0%
ValueCountFrequency (%)
4916 1
3.1%
4933 1
3.1%
4970 1
3.1%
4991 2
6.2%
5009 1
3.1%
5029 1
3.1%
5058 1
3.1%
5094 1
3.1%
143730 1
3.1%
143747 1
3.1%
ValueCountFrequency (%)
143847 2
6.2%
143831 1
3.1%
143807 1
3.1%
143800 1
3.1%
143747 1
3.1%
143730 1
3.1%
5094 1
3.1%
5058 1
3.1%
5029 1
3.1%
5009 1
3.1%

사업장명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T14:50:24.087352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length13
Mean length9.5
Min length3

Characters and Unicode

Total characters304
Distinct characters100
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row무지개극장
2nd row유니버설 아트센터
3rd row워커힐민속예술단
4th row대양홀
5th rowCGV강변11 2관
ValueCountFrequency (%)
cgv강변11 11
 
20.4%
대공연장 3
 
5.6%
나루아트센터 2
 
3.7%
무지개극장 1
 
1.9%
시립광진청소년센터 1
 
1.9%
소공연장 1
 
1.9%
예스24 1
 
1.9%
라이브홀 1
 
1.9%
롯데시네마 1
 
1.9%
건대입구관 1
 
1.9%
Other values (31) 31
57.4%
2024-05-11T14:50:24.627243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
10.5%
1 26
 
8.6%
관 15
 
4.9%
C 11
 
3.6%
V 11
 
3.6%
강 11
 
3.6%
변 11
 
3.6%
G 11
 
3.6%
장 10
 
3.3%
대 7
 
2.3%
Other values (90) 159
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
58.9%
Decimal Number 38
 
12.5%
Uppercase Letter 35
 
11.5%
Space Separator 32
 
10.5%
Lowercase Letter 18
 
5.9%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 15
 
8.4%
강 11
 
6.1%
변 11
 
6.1%
장 10
 
5.6%
대 7
 
3.9%
홀 6
 
3.4%
아 6
 
3.4%
트 6
 
3.4%
연 5
 
2.8%
터 5
 
2.8%
Other values (61) 97
54.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
16.7%
l 3
16.7%
a 2
11.1%
r 2
11.1%
h 2
11.1%
f 1
 
5.6%
m 1
 
5.6%
p 1
 
5.6%
k 1
 
5.6%
i 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 26
68.4%
4 2
 
5.3%
5 2
 
5.3%
2 2
 
5.3%
8 1
 
2.6%
3 1
 
2.6%
0 1
 
2.6%
6 1
 
2.6%
7 1
 
2.6%
9 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
C 11
31.4%
V 11
31.4%
G 11
31.4%
W 1
 
2.9%
T 1
 
2.9%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
58.9%
Common 72
23.7%
Latin 53
 
17.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 15
 
8.4%
강 11
 
6.1%
변 11
 
6.1%
장 10
 
5.6%
대 7
 
3.9%
홀 6
 
3.4%
아 6
 
3.4%
트 6
 
3.4%
연 5
 
2.8%
터 5
 
2.8%
Other values (61) 97
54.2%
Latin
ValueCountFrequency (%)
C 11
20.8%
V 11
20.8%
G 11
20.8%
e 3
 
5.7%
l 3
 
5.7%
a 2
 
3.8%
r 2
 
3.8%
h 2
 
3.8%
f 1
 
1.9%
m 1
 
1.9%
Other values (6) 6
11.3%
Common
ValueCountFrequency (%)
32
44.4%
1 26
36.1%
4 2
 
2.8%
5 2
 
2.8%
2 2
 
2.8%
8 1
 
1.4%
3 1
 
1.4%
0 1
 
1.4%
6 1
 
1.4%
7 1
 
1.4%
Other values (3) 3
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
58.9%
ASCII 125
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
25.6%
1 26
20.8%
C 11
 
8.8%
V 11
 
8.8%
G 11
 
8.8%
e 3
 
2.4%
l 3
 
2.4%
4 2
 
1.6%
a 2
 
1.6%
r 2
 
1.6%
Other values (19) 22
17.6%
Hangul
ValueCountFrequency (%)
관 15
 
8.4%
강 11
 
6.1%
변 11
 
6.1%
장 10
 
5.6%
대 7
 
3.9%
홀 6
 
3.4%
아 6
 
3.4%
트 6
 
3.4%
연 5
 
2.8%
터 5
 
2.8%
Other values (61) 97
54.2%

최종수정일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2003-05-13 11:34:49
Maximum2023-04-27 10:13:32
2024-05-11T14:50:24.826918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:25.041830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
I
21 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 21
65.6%
U 11
34.4%

Length

2024-05-11T14:50:25.284560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:25.457894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
65.6%
u 11
34.4%

데이터갱신일자
Date

Distinct16
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-03 22:09:00
2024-05-11T14:50:25.625549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:25.831638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)58.1%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean207594.99
Minimum205804.75
Maximum209775.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T14:50:26.117644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205804.75
5-th percentile206174.52
Q1206479.98
median207648.12
Q3208394.42
95-th percentile209411.17
Maximum209775.27
Range3970.5204
Interquartile range (IQR)1914.4355

Descriptive statistics

Standard deviation1109.2962
Coefficient of variation (CV)0.0053435596
Kurtosis-1.100726
Mean207594.99
Median Absolute Deviation (MAD)746.29454
Skewness0.10239537
Sum6435444.6
Variance1230538
MonotonicityNot monotonic
2024-05-11T14:50:26.301027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
208394.416382167 11
34.4%
206479.980833988 2
 
6.2%
207138.865762508 2
 
6.2%
206174.517174891 2
 
6.2%
206808.576422948 1
 
3.1%
208051.884671132 1
 
3.1%
206642.970467607 1
 
3.1%
207401.825013542 1
 
3.1%
206324.116092316 1
 
3.1%
206174.754581936 1
 
3.1%
Other values (8) 8
25.0%
ValueCountFrequency (%)
205804.747421072 1
3.1%
206174.517174891 2
6.2%
206174.754581936 1
3.1%
206324.116092316 1
3.1%
206349.675048285 1
3.1%
206445.881091692 1
3.1%
206479.980833988 2
6.2%
206642.970467607 1
3.1%
206808.576422948 1
3.1%
207138.865762508 2
6.2%
ValueCountFrequency (%)
209775.267831522 1
 
3.1%
209479.331104244 1
 
3.1%
209343.001409181 1
 
3.1%
208394.416382167 11
34.4%
208051.884671132 1
 
3.1%
207648.121842767 1
 
3.1%
207401.825013542 1
 
3.1%
207269.157807648 1
 
3.1%
207138.865762508 2
 
6.2%
206808.576422948 1
 
3.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)58.1%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean448891.54
Minimum447781.32
Maximum451410.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T14:50:26.512348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447781.32
5-th percentile448019.47
Q1448165.28
median448365.36
Q3449562.96
95-th percentile450746.67
Maximum451410.23
Range3628.9177
Interquartile range (IQR)1397.6845

Descriptive statistics

Standard deviation961.35475
Coefficient of variation (CV)0.0021416192
Kurtosis0.5122033
Mean448891.54
Median Absolute Deviation (MAD)370.55814
Skewness1.0929878
Sum13915638
Variance924202.96
MonotonicityNot monotonic
2024-05-11T14:50:26.727425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
448165.279999905 11
34.4%
449827.630945538 2
 
6.2%
449705.690586932 2
 
6.2%
448365.36370057 2
 
6.2%
449396.05799662 1
 
3.1%
447994.805558304 1
 
3.1%
451165.753463964 1
 
3.1%
451410.234980088 1
 
3.1%
449420.23835582 1
 
3.1%
447781.317272306 1
 
3.1%
Other values (8) 8
25.0%
ValueCountFrequency (%)
447781.317272306 1
 
3.1%
447994.805558304 1
 
3.1%
448044.12833358 1
 
3.1%
448165.279999905 11
34.4%
448365.36370057 2
 
6.2%
448396.939704285 1
 
3.1%
448755.939202523 1
 
3.1%
448922.881688102 1
 
3.1%
449280.291661999 1
 
3.1%
449330.493519953 1
 
3.1%
ValueCountFrequency (%)
451410.234980088 1
3.1%
451165.753463964 1
3.1%
450327.57709331 1
3.1%
449827.630945538 2
6.2%
449795.634126694 1
3.1%
449705.690586932 2
6.2%
449420.23835582 1
3.1%
449396.05799662 1
3.1%
449330.493519953 1
3.1%
449280.291661999 1
3.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
공연장
28 
<NA>
4 

Length

Max length4
Median length3
Mean length3.125
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 28
87.5%
<NA> 4
 
12.5%

Length

2024-05-11T14:50:26.962296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:27.125499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 28
87.5%
na 4
 
12.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
공연장
28 
<NA>
4 

Length

Max length4
Median length3
Mean length3.125
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 28
87.5%
<NA> 4
 
12.5%

Length

2024-05-11T14:50:27.300110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:27.471568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 28
87.5%
na 4
 
12.5%

지역구분명
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing26
Missing (%)81.2%
Memory size388.0 B
2024-05-11T14:50:27.687544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Characters and Unicode

Total characters34
Distinct characters10
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 (%)50.0%

Sample

1st row근린상업지역
2nd row근린상업지역
3rd row일반주거지역
4th row근린상업지역
5th row주거지역
ValueCountFrequency (%)
근린상업지역 3
50.0%
일반주거지역 1
 
16.7%
주거지역 1
 
16.7%
일반상업지역 1
 
16.7%
2024-05-11T14:50:28.180800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
상 4
11.8%
업 4
11.8%
근 3
8.8%
린 3
8.8%
일 2
 
5.9%
반 2
 
5.9%
주 2
 
5.9%
거 2
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
상 4
11.8%
업 4
11.8%
근 3
8.8%
린 3
8.8%
일 2
 
5.9%
반 2
 
5.9%
주 2
 
5.9%
거 2
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
상 4
11.8%
업 4
11.8%
근 3
8.8%
린 3
8.8%
일 2
 
5.9%
반 2
 
5.9%
주 2
 
5.9%
거 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
상 4
11.8%
업 4
11.8%
근 3
8.8%
린 3
8.8%
일 2
 
5.9%
반 2
 
5.9%
주 2
 
5.9%
거 2
 
5.9%

총층수
Categorical

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
13 
19
10 
0
6 
8
 
1
1
 
1

Length

Max length4
Median length2
Mean length2.53125
Min length1

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
40.6%
19 10
31.2%
0 6
18.8%
8 1
 
3.1%
1 1
 
3.1%
3 1
 
3.1%

Length

2024-05-11T14:50:28.402969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:28.582169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
40.6%
19 10
31.2%
0 6
18.8%
8 1
 
3.1%
1 1
 
3.1%
3 1
 
3.1%

주변환경명
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
18 
아파트지역
10 
주택가주변
3 
기타
 
1

Length

Max length5
Median length4
Mean length4.34375
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
56.2%
아파트지역 10
31.2%
주택가주변 3
 
9.4%
기타 1
 
3.1%

Length

2024-05-11T14:50:28.779544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:28.915850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
56.2%
아파트지역 10
31.2%
주택가주변 3
 
9.4%
기타 1
 
3.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

건물용도명
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
15 
근린생활시설
14 
문화시설
2 
교육연구시설
 
1

Length

Max length6
Median length4
Mean length4.9375
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
46.9%
근린생활시설 14
43.8%
문화시설 2
 
6.2%
교육연구시설 1
 
3.1%

Length

2024-05-11T14:50:29.073937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:29.209361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
46.9%
근린생활시설 14
43.8%
문화시설 2
 
6.2%
교육연구시설 1
 
3.1%

지상층수
Categorical

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
14 
13
10 
0
6 
6
 
1
2
 
1

Length

Max length4
Median length2
Mean length2.625
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
43.8%
13 10
31.2%
0 6
18.8%
6 1
 
3.1%
2 1
 
3.1%

Length

2024-05-11T14:50:29.357235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:29.497226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
43.8%
13 10
31.2%
0 6
18.8%
6 1
 
3.1%
2 1
 
3.1%

지하층수
Categorical

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
11 
6
10 
1
5 
0
4 
2
2 

Length

Max length4
Median length1
Mean length2.03125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
34.4%
6 10
31.2%
1 5
15.6%
0 4
 
12.5%
2 2
 
6.2%

Length

2024-05-11T14:50:29.638291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:29.817109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
34.4%
6 10
31.2%
1 5
15.6%
0 4
 
12.5%
2 2
 
6.2%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T14:50:30.028926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:30.194801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T14:50:30.367675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:30.493595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T14:50:30.596749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:30.701495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T14:50:30.814934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:30.940817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T14:50:31.083746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:31.284976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T14:50:31.439757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:31.598906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T14:50:31.781648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:31.943028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

시설면적
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
19 
<NA>
13 

Length

Max length4
Median length1
Mean length2.21875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 19
59.4%
<NA> 13
40.6%

Length

2024-05-11T14:50:32.161556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:32.368973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
59.4%
na 13
40.6%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T14:50:33.024256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:33.181622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T14:50:33.369985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:33.532128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

시설규모
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
19 
<NA>
13 

Length

Max length4
Median length1
Mean length2.21875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 19
59.4%
<NA> 13
40.6%

Length

2024-05-11T14:50:33.710812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:33.886593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
59.4%
na 13
40.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03040000CDFE123000197500000119750929<NA>1영업/정상13영업중<NA><NA><NA><NA>2204-6024<NA>143847서울특별시 광진구 능동 18-11번지서울특별시 광진구 광나루로 441 (능동)143847무지개극장2019-11-04 13:41:22U2019-11-29 02:40:00.0<NA>206808.576423449396.057997공연장공연장<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
13040000CDFE123000198100000119810120<NA>1영업/정상13영업중<NA><NA><NA><NA>2204-1036<NA><NA>서울특별시 광진구 능동 25서울특별시 광진구 천호대로 664 (능동, 선화예술중고등학교)4991유니버설 아트센터2021-01-17 14:02:53U2021-01-19 02:40:00.0<NA>207648.121843449795.634127공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><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
23040000CDFE123000199200000119920602<NA>3폐업3폐업20000615<NA><NA><NA>453-0121<NA>143210서울특별시 광진구 광장동 산 21-0번지<NA><NA>워커힐민속예술단2003-05-13 11:34:49I2018-08-31 23:59:59.0<NA><NA><NA>공연장공연장<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
33040000CDFE123000199800000119980211<NA>1영업/정상13영업중<NA><NA><NA><NA>3408-3114<NA>143839서울특별시 광진구 군자동 98번지<NA><NA>대양홀2018-11-07 13:43:17U2018-11-09 02:36:18.0<NA>206479.980834449827.630946공연장공연장<NA><NA><NA><NA><NA>문화시설<NA><NA><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
43040000CDFE123000199800000219980325<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>3424-1611<NA>143721서울특별시 광진구 구의동 546-4번지 테크노마트빌딩서울특별시 광진구 광나루로56길 85 (구의동,테크노마트빌딩)<NA>CGV강변11 2관2017-02-27 14:53:10I2018-08-31 23:59:59.0<NA>208394.416382448165.28공연장공연장<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
53040000CDFE123000199800000319980325<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>3424-1611<NA>143721서울특별시 광진구 구의동 546-4번지 테크노마트빌딩서울특별시 광진구 광나루로56길 85 (구의동,테크노마트빌딩)<NA>CGV강변11 3관2017-02-27 14:53:26I2018-08-31 23:59:59.0<NA>208394.416382448165.28공연장공연장<NA>19아파트지역<NA><NA>근린생활시설136<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
63040000CDFE123000199800000419980327<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>3424-1611<NA>143721서울특별시 광진구 구의동 546-4번지 테크노마트빌딩서울특별시 광진구 광나루로56길 85 (구의동,테크노마트빌딩)<NA>CGV강변11 10관2017-02-27 14:53:39I2018-08-31 23:59:59.0<NA>208394.416382448165.28공연장공연장<NA>19아파트지역<NA><NA>근린생활시설136<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
73040000CDFE123000199800000519980327<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>3424-1611<NA>143721서울특별시 광진구 구의동 546-4번지 테크노마트빌딩서울특별시 광진구 광나루로56길 85 (구의동,테크노마트빌딩)<NA>CGV강변11 11관2017-02-27 14:51:28I2018-08-31 23:59:59.0<NA>208394.416382448165.28공연장공연장<NA>19아파트지역<NA><NA>근린생활시설136<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
83040000CDFE123000199800000619980327<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>3424-1611<NA>143721서울특별시 광진구 구의동 546-4번지 테크노마트빌딩서울특별시 광진구 광나루로56길 85 (구의동,테크노마트빌딩)<NA>CGV강변11 1관2017-02-27 14:53:52I2018-08-31 23:59:59.0<NA>208394.416382448165.28공연장공연장<NA>19아파트지역<NA><NA>근린생활시설136<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
93040000CDFE123000199800000719980327<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>3424-1611<NA>143721서울특별시 광진구 구의동 546-4번지 테크노마트빌딩서울특별시 광진구 광나루로56길 85 (구의동,테크노마트빌딩)<NA>CGV강변11 4관2017-02-27 14:51:40I2018-08-31 23:59:59.0<NA>208394.416382448165.28공연장공연장근린상업지역19아파트지역<NA><NA>근린생활시설136<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
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
223040000CDFE123000200700000120070702<NA>3폐업3폐업20160104<NA><NA><NA>02-2024-1648<NA>143730서울특별시 광진구 자양동 227-0007번지서울특별시 광진구 아차산로 272 (자양동)143730롯데시네마 건대입구관 제5관2016-01-05 17:22:42I2018-08-31 23:59:59.0<NA>206349.675048448396.939704공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233040000CDFE123000201000000120100927<NA>1영업/정상13영업중<NA><NA><NA><NA>02)2204-3100<NA><NA>서울특별시 광진구 광장동 313-3서울특별시 광진구 구천면로 2 (광장동, 광진청소년수련관)4970시립광진청소년센터 대극장2022-06-08 18:37:40U2021-12-05 23:00:00.0<NA>209343.001409449330.49352<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243040000CDFE123000201200000120120830<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3436-7777<NA>143831서울특별시 광진구 구의동 595번지서울특별시 광진구 구의강변로 38 (구의동)143831동서울아트홀2019-03-12 18:04:47U2019-03-14 02:40:00.0<NA>208051.884671447994.805558공연장공연장<NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253040000CDFE123000201300000120130228<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3408-3114<NA>143747서울특별시 광진구 군자동 98번지서울특별시 광진구 능동로 209 (군자동)143747학생회관 대공연장2018-11-07 13:43:00U2018-11-09 02:36:18.0<NA>206479.980834449827.630946공연장공연장근린상업지역8주택가주변<NA><NA>교육연구시설62<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263040000CDFE123000201300000220130801<NA>1영업/정상13영업중<NA><NA><NA><NA>02-456-0116<NA>143847서울특별시 광진구 능동 18서울특별시 광진구 능동로 지하 216 (능동)143847서울상상나라극장2021-06-22 18:07:22U2021-06-24 02:40:00.0<NA>207138.865763449705.690587공연장공연장<NA>1<NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273040000CDFE123000202000000120200514<NA>1영업/정상13영업중<NA><NA><NA><NA>02-458-4840<NA><NA>서울특별시 광진구 자양동 630-41번지서울특별시 광진구 자양로11길 18 (자양동)5058pmf자양스테이션2020-05-14 16:27:02I2020-05-16 00:23:20.0<NA>207269.157808448044.128334공연장공연장주거지역3주택가주변<NA><NA>근린생활시설21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283040000CDFE123000202000000220201211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 497-4 지하1층서울특별시 광진구 뚝섬로36길 49, 지하1층 (자양동)5094충동소극장2020-12-11 17:36:45I2020-12-13 00:23:06.0<NA>206174.754582447781.317272공연장공연장<NA><NA><NA><NA><NA>근린생활시설<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293040000CDFE123000202100000120210906<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 111-73 BLUE SKY서울특별시 광진구 능동로19길 23, BLUE SKY (화양동)5009설렘아트홀2021-09-06 10:21:32I2021-09-08 00:22:50.0<NA>206324.116092449420.238356공연장공연장일반상업지역0<NA><NA><NA>근린생활시설0100<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
303040000CDFE123000202200000120220513<NA>1영업/정상13영업중<NA><NA><NA><NA>024507575<NA><NA>서울특별시 광진구 중곡동 30-80 보건복지행정타운서울특별시 광진구 능동로 400, 보건복지행정타운 (중곡동)4933광진어린이공연장2022-05-13 15:25:02I2021-12-04 23:05:00.0<NA>207401.825014451410.23498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313040000CDFE12300020230000012023-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-468-7811<NA><NA>서울특별시 광진구 중곡동 252-12 우인아트홀서울특별시 광진구 동일로 360, 우인아트홀 5층 (중곡동)4916우인아트홀2023-04-27 10:13:32I2022-12-03 22:09:00.0<NA>206642.970468451165.753464<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>