Overview

Dataset statistics

Number of variables56
Number of observations40
Missing cells882
Missing cells (%)39.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.2 KiB
Average record size in memory491.3 B

Variable types

Categorical25
Text2
Numeric5
Unsupported22
DateTime2

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,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17656/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (61.6%)Imbalance
영업상태명 is highly imbalanced (61.6%)Imbalance
상세영업상태코드 is highly imbalanced (71.4%)Imbalance
상세영업상태명 is highly imbalanced (71.4%)Imbalance
폐업일자 is highly imbalanced (74.8%)Imbalance
데이터갱신구분 is highly imbalanced (71.4%)Imbalance
문화체육업종명 is highly imbalanced (83.1%)Imbalance
시설면적 is highly imbalanced (83.1%)Imbalance
통로너비 is highly imbalanced (55.4%)Imbalance
조명시설조도 is highly imbalanced (83.1%)Imbalance
노래방실수 is highly imbalanced (83.1%)Imbalance
청소년실수 is highly imbalanced (83.1%)Imbalance
총게임기수 is highly imbalanced (83.1%)Imbalance
공연장형태구분명 is highly imbalanced (83.1%)Imbalance
인허가취소일자 has 40 (100.0%) missing valuesMissing
휴업시작일자 has 40 (100.0%) missing valuesMissing
휴업종료일자 has 40 (100.0%) missing valuesMissing
재개업일자 has 40 (100.0%) missing valuesMissing
소재지면적 has 40 (100.0%) missing valuesMissing
소재지우편번호 has 40 (100.0%) missing valuesMissing
업태구분명 has 40 (100.0%) missing valuesMissing
제작취급품목내용 has 40 (100.0%) missing valuesMissing
지상층수 has 1 (2.5%) missing valuesMissing
비상계단여부 has 40 (100.0%) missing valuesMissing
비상구여부 has 40 (100.0%) missing valuesMissing
자동환기여부 has 40 (100.0%) missing valuesMissing
청소년실여부 has 40 (100.0%) missing valuesMissing
특수조명여부 has 40 (100.0%) missing valuesMissing
방음시설여부 has 40 (100.0%) missing valuesMissing
비디오재생기명 has 40 (100.0%) missing valuesMissing
조명시설유무 has 40 (100.0%) missing valuesMissing
음향시설여부 has 40 (100.0%) missing valuesMissing
편의시설여부 has 40 (100.0%) missing valuesMissing
소방시설여부 has 40 (100.0%) missing valuesMissing
기존게임업외업종명 has 40 (100.0%) missing valuesMissing
제공게임물명 has 40 (100.0%) missing valuesMissing
품목명 has 40 (100.0%) missing valuesMissing
최초등록시점 has 1 (2.5%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
소재지우편번호 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
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 has 1 (2.5%) zerosZeros

Reproduction

Analysis started2024-05-11 04:10:19.200613
Analysis finished2024-05-11 04:10:20.025071
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
3040000
40 

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 40
100.0%

Length

2024-05-11T04:10:20.225105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:20.547347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 40
100.0%

관리번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-05-11T04:10:21.037719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters800
Distinct characters13
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

Unique40 ?
Unique (%)100.0%

Sample

1st rowCDFF4220001998000001
2nd rowCDFF4220001998000002
3rd rowCDFF4220001998000003
4th rowCDFF4220001998000004
5th rowCDFF4220001998000005
ValueCountFrequency (%)
cdff4220001998000001 1
 
2.5%
cdff4220001998000002 1
 
2.5%
cdff4220002009000008 1
 
2.5%
cdff4220002009000001 1
 
2.5%
cdff4220002009000002 1
 
2.5%
cdff4220002009000003 1
 
2.5%
cdff4220002009000004 1
 
2.5%
cdff4220002009000005 1
 
2.5%
cdff4220002009000006 1
 
2.5%
cdff4220002009000007 1
 
2.5%
Other values (30) 30
75.0%
2024-05-11T04:10:21.885847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 369
46.1%
2 114
 
14.2%
F 80
 
10.0%
4 44
 
5.5%
C 40
 
5.0%
D 40
 
5.0%
9 35
 
4.4%
1 33
 
4.1%
8 19
 
2.4%
7 14
 
1.8%
Other values (3) 12
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
80.0%
Uppercase Letter 160
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 369
57.7%
2 114
 
17.8%
4 44
 
6.9%
9 35
 
5.5%
1 33
 
5.2%
8 19
 
3.0%
7 14
 
2.2%
3 5
 
0.8%
5 4
 
0.6%
6 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 80
50.0%
C 40
25.0%
D 40
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 640
80.0%
Latin 160
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 369
57.7%
2 114
 
17.8%
4 44
 
6.9%
9 35
 
5.5%
1 33
 
5.2%
8 19
 
3.0%
7 14
 
2.2%
3 5
 
0.8%
5 4
 
0.6%
6 3
 
0.5%
Latin
ValueCountFrequency (%)
F 80
50.0%
C 40
25.0%
D 40
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 369
46.1%
2 114
 
14.2%
F 80
 
10.0%
4 44
 
5.5%
C 40
 
5.0%
D 40
 
5.0%
9 35
 
4.4%
1 33
 
4.1%
8 19
 
2.4%
7 14
 
1.8%
Other values (3) 12
 
1.5%

인허가일자
Real number (ℝ)

Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20081743
Minimum19980325
Maximum20180126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-05-11T04:10:22.274221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980325
5-th percentile19980327
Q119980327
median20090723
Q320120511
95-th percentile20180126
Maximum20180126
Range199801
Interquartile range (IQR)140184

Descriptive statistics

Standard deviation68533.031
Coefficient of variation (CV)0.0034127033
Kurtosis-0.98761745
Mean20081743
Median Absolute Deviation (MAD)29788
Skewness-0.49305431
Sum8.0326973 × 108
Variance4.6967764 × 109
MonotonicityNot monotonic
2024-05-11T04:10:22.677704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20120511 12
30.0%
20090723 10
25.0%
19980327 9
22.5%
20180126 5
12.5%
19980325 2
 
5.0%
20101223 1
 
2.5%
20130924 1
 
2.5%
ValueCountFrequency (%)
19980325 2
 
5.0%
19980327 9
22.5%
20090723 10
25.0%
20101223 1
 
2.5%
20120511 12
30.0%
20130924 1
 
2.5%
20180126 5
12.5%
ValueCountFrequency (%)
20180126 5
12.5%
20130924 1
 
2.5%
20120511 12
30.0%
20101223 1
 
2.5%
20090723 10
25.0%
19980327 9
22.5%
19980325 2
 
5.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
1
37 
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 37
92.5%
3 3
 
7.5%

Length

2024-05-11T04:10:23.063860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:23.397684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 37
92.5%
3 3
 
7.5%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
영업/정상
37 
폐업
 
3

Length

Max length5
Median length5
Mean length4.775
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 37
92.5%
폐업 3
 
7.5%

Length

2024-05-11T04:10:23.867784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:24.256663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 37
92.5%
폐업 3
 
7.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
13
37 
3
 
2
34
 
1

Length

Max length2
Median length2
Mean length1.95
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 37
92.5%
3 2
 
5.0%
34 1
 
2.5%

Length

2024-05-11T04:10:24.723943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:25.089095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 37
92.5%
3 2
 
5.0%
34 1
 
2.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
영업중
37 
폐업
 
2
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length3
Min length2

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 37
92.5%
폐업 2
 
5.0%
영업장폐쇄 1
 
2.5%

Length

2024-05-11T04:10:25.507165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:26.103572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 37
92.5%
폐업 2
 
5.0%
영업장폐쇄 1
 
2.5%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
37 
20100513
 
1
20220825
 
1
20150201
 
1

Length

Max length8
Median length4
Mean length4.3
Min length4

Unique

Unique3 ?
Unique (%)7.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
92.5%
20100513 1
 
2.5%
20220825 1
 
2.5%
20150201 1
 
2.5%

Length

2024-05-11T04:10:26.935746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:27.588493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
92.5%
20100513 1
 
2.5%
20220825 1
 
2.5%
20150201 1
 
2.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

전화번호
Categorical

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
16 
02-2024-1646
12 
02-461-1941
10 
02-446-6579
 
1
02-457-0437
 
1

Length

Max length12
Median length11
Mean length8.5
Min length4

Unique

Unique2 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
40.0%
02-2024-1646 12
30.0%
02-461-1941 10
25.0%
02-446-6579 1
 
2.5%
02-457-0437 1
 
2.5%

Length

2024-05-11T04:10:28.351926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:28.906746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
40.0%
02-2024-1646 12
30.0%
02-461-1941 10
25.0%
02-446-6579 1
 
2.5%
02-457-0437 1
 
2.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

지번주소
Categorical

Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
서울특별시 광진구 구의동 546-4 테크노마트10층
11 
서울특별시 광진구 자양동 227-7 더샵스타시티
11 
서울특별시 광진구 군자동 477-12번지
10 
서울특별시 광진구 자양동 9-4 몰오브케이
5 
서울특별시 광진구 화양동 1번지 건국대학교 예술문화대학 지하1층
 
1
Other values (2)
2 

Length

Max length36
Median length29
Mean length26.275
Min length23

Unique

Unique3 ?
Unique (%)7.5%

Sample

1st row서울특별시 광진구 구의동 546-4 테크노마트10층
2nd row서울특별시 광진구 구의동 546-4 테크노마트10층
3rd row서울특별시 광진구 구의동 546-4 테크노마트10층
4th row서울특별시 광진구 구의동 546-4 테크노마트10층
5th row서울특별시 광진구 구의동 546-4 테크노마트10층

Common Values

ValueCountFrequency (%)
서울특별시 광진구 구의동 546-4 테크노마트10층 11
27.5%
서울특별시 광진구 자양동 227-7 더샵스타시티 11
27.5%
서울특별시 광진구 군자동 477-12번지 10
25.0%
서울특별시 광진구 자양동 9-4 몰오브케이 5
12.5%
서울특별시 광진구 화양동 1번지 건국대학교 예술문화대학 지하1층 1
 
2.5%
서울특별시 광진구 자양동 227-7 더샵스타시티 1
 
2.5%
서울특별시 광진구 군자동 476-10번지 1
 
2.5%

Length

2024-05-11T04:10:29.510874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:29.926776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 40
20.9%
광진구 40
20.9%
자양동 17
8.9%
227-7 12
 
6.3%
더샵스타시티 12
 
6.3%
구의동 11
 
5.8%
546-4 11
 
5.8%
테크노마트10층 11
 
5.8%
군자동 11
 
5.8%
477-12번지 10
 
5.2%
Other values (8) 16
 
8.4%

도로명주소
Categorical

Distinct8
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
서울특별시 광진구 아차산로 272, 더샵스타시티 (자양동)
12 
서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)
11 
서울특별시 광진구 능동로 289 (군자동)
9 
서울특별시 광진구 아차산로30길 26, 몰오브케이 4층 (자양동)
3 
서울특별시 광진구 아차산로30길 26, 몰오브케이 3층 (자양동)
2 
Other values (3)
3 

Length

Max length38
Median length36
Mean length31.05
Min length4

Unique

Unique3 ?
Unique (%)7.5%

Sample

1st row서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)
2nd row서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)
3rd row서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)
4th row서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)
5th row서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)

Common Values

ValueCountFrequency (%)
서울특별시 광진구 아차산로 272, 더샵스타시티 (자양동) 12
30.0%
서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트) 11
27.5%
서울특별시 광진구 능동로 289 (군자동) 9
22.5%
서울특별시 광진구 아차산로30길 26, 몰오브케이 4층 (자양동) 3
 
7.5%
서울특별시 광진구 아차산로30길 26, 몰오브케이 3층 (자양동) 2
 
5.0%
서울특별시 광진구 능동로 289 (군자동) 1
 
2.5%
<NA> 1
 
2.5%
서울특별시 광진구 능동로31길 14 (군자동) 1
 
2.5%

Length

2024-05-11T04:10:30.516043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:31.022507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 39
16.2%
광진구 39
16.2%
자양동 17
 
7.1%
아차산로 12
 
5.0%
272 12
 
5.0%
더샵스타시티 12
 
5.0%
군자동 11
 
4.6%
광나루로56길 11
 
4.6%
85 11
 
4.6%
10층 11
 
4.6%
Other values (12) 65
27.1%

도로명우편번호
Categorical

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
5065
12 
5116
11 
<NA>
11 
5072
5 
4997
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.5%

Sample

1st row5116
2nd row5116
3rd row5116
4th row5116
5th row5116

Common Values

ValueCountFrequency (%)
5065 12
30.0%
5116 11
27.5%
<NA> 11
27.5%
5072 5
12.5%
4997 1
 
2.5%

Length

2024-05-11T04:10:31.597894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:31.935101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5065 12
30.0%
5116 11
27.5%
na 11
27.5%
5072 5
12.5%
4997 1
 
2.5%

사업장명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-05-11T04:10:32.430233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length12.875
Min length6

Characters and Unicode

Total characters515
Distinct characters65
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

Unique40 ?
Unique (%)100.0%

Sample

1st rowCGV강변11 STAR 2관
2nd rowCGV강변11 STAR 3관
3rd rowCGV강변11 4DX 1관
4th rowCGV강변11 제4관[CGV 아트하우스]
5th rowCGV강변11 제5관
ValueCountFrequency (%)
건대입구관 12
 
11.9%
롯데시네마 12
 
11.9%
cgv강변11 10
 
9.9%
메가박스 9
 
8.9%
건대입구 5
 
5.0%
cgv 5
 
5.0%
제5관 3
 
3.0%
제9관 2
 
2.0%
제1관 2
 
2.0%
제2관 2
 
2.0%
Other values (32) 39
38.6%
2024-05-11T04:10:33.711871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
11.8%
관 39
 
7.6%
1 29
 
5.6%
제 22
 
4.3%
C 19
 
3.7%
G 18
 
3.5%
V 18
 
3.5%
대 17
 
3.3%
구 17
 
3.3%
입 17
 
3.3%
Other values (55) 258
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
56.5%
Uppercase Letter 75
 
14.6%
Space Separator 61
 
11.8%
Decimal Number 61
 
11.8%
Close Punctuation 13
 
2.5%
Open Punctuation 13
 
2.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 39
 
13.4%
제 22
 
7.6%
대 17
 
5.8%
구 17
 
5.8%
입 17
 
5.8%
건 17
 
5.8%
네 14
 
4.8%
시 14
 
4.8%
마 14
 
4.8%
롯 13
 
4.5%
Other values (23) 107
36.8%
Uppercase Letter
ValueCountFrequency (%)
C 19
25.3%
G 18
24.0%
V 18
24.0%
T 3
 
4.0%
R 3
 
4.0%
S 2
 
2.7%
A 2
 
2.7%
E 2
 
2.7%
K 1
 
1.3%
U 1
 
1.3%
Other values (6) 6
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 29
47.5%
4 5
 
8.2%
5 4
 
6.6%
2 4
 
6.6%
3 4
 
6.6%
7 3
 
4.9%
8 3
 
4.9%
9 3
 
4.9%
0 3
 
4.9%
6 3
 
4.9%
Close Punctuation
ValueCountFrequency (%)
) 12
92.3%
] 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 12
92.3%
[ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
56.5%
Common 149
28.9%
Latin 75
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 39
 
13.4%
제 22
 
7.6%
대 17
 
5.8%
구 17
 
5.8%
입 17
 
5.8%
건 17
 
5.8%
네 14
 
4.8%
시 14
 
4.8%
마 14
 
4.8%
롯 13
 
4.5%
Other values (23) 107
36.8%
Common
ValueCountFrequency (%)
61
40.9%
1 29
19.5%
) 12
 
8.1%
( 12
 
8.1%
4 5
 
3.4%
5 4
 
2.7%
2 4
 
2.7%
3 4
 
2.7%
7 3
 
2.0%
8 3
 
2.0%
Other values (6) 12
 
8.1%
Latin
ValueCountFrequency (%)
C 19
25.3%
G 18
24.0%
V 18
24.0%
T 3
 
4.0%
R 3
 
4.0%
S 2
 
2.7%
A 2
 
2.7%
E 2
 
2.7%
K 1
 
1.3%
U 1
 
1.3%
Other values (6) 6
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
56.5%
ASCII 224
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
27.2%
1 29
12.9%
C 19
 
8.5%
G 18
 
8.0%
V 18
 
8.0%
) 12
 
5.4%
( 12
 
5.4%
4 5
 
2.2%
5 4
 
1.8%
2 4
 
1.8%
Other values (22) 42
18.8%
Hangul
ValueCountFrequency (%)
관 39
 
13.4%
제 22
 
7.6%
대 17
 
5.8%
구 17
 
5.8%
입 17
 
5.8%
건 17
 
5.8%
네 14
 
4.8%
시 14
 
4.8%
마 14
 
4.8%
롯 13
 
4.5%
Other values (23) 107
36.8%

최종수정일자
Date

Distinct33
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2010-05-13 13:32:28
Maximum2022-09-13 09:02:38
2024-05-11T04:10:34.362887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:10:34.868581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
U
38 
I
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 38
95.0%
I 2
 
5.0%

Length

2024-05-11T04:10:35.762088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:36.888027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 38
95.0%
i 2
 
5.0%

데이터갱신일자
Date

Distinct9
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2018-08-31 23:59:59
Maximum2021-12-29 02:40:00
2024-05-11T04:10:37.531834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:10:38.208623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

좌표정보(X)
Real number (ℝ)

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206988.42
Minimum205845.95
Maximum208394.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-05-11T04:10:38.750526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205845.95
5-th percentile205845.95
Q1206349.68
median206852.36
Q3208394.42
95-th percentile208394.42
Maximum208394.42
Range2548.4697
Interquartile range (IQR)2044.7413

Descriptive statistics

Standard deviation929.31065
Coefficient of variation (CV)0.0044896746
Kurtosis-1.0962606
Mean206988.42
Median Absolute Deviation (MAD)502.68588
Skewness0.66583597
Sum8279536.9
Variance863618.29
MonotonicityNot monotonic
2024-05-11T04:10:39.491929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
206349.675048285 12
30.0%
208394.416382167 11
27.5%
206852.360928556 10
25.0%
205845.946723741 5
12.5%
206445.881091692 1
 
2.5%
206802.967181457 1
 
2.5%
ValueCountFrequency (%)
205845.946723741 5
12.5%
206349.675048285 12
30.0%
206445.881091692 1
 
2.5%
206802.967181457 1
 
2.5%
206852.360928556 10
25.0%
208394.416382167 11
27.5%
ValueCountFrequency (%)
208394.416382167 11
27.5%
206852.360928556 10
25.0%
206802.967181457 1
 
2.5%
206445.881091692 1
 
2.5%
206349.675048285 12
30.0%
205845.946723741 5
12.5%

좌표정보(Y)
Real number (ℝ)

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448923.22
Minimum448165.28
Maximum450403.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-05-11T04:10:39.849910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448165.28
5-th percentile448165.28
Q1448165.28
median448396.94
Q3450393.66
95-th percentile450393.66
Maximum450403.56
Range2238.2846
Interquartile range (IQR)2228.381

Descriptive statistics

Standard deviation932.6769
Coefficient of variation (CV)0.0020775867
Kurtosis-1.0261217
Mean448923.22
Median Absolute Deviation (MAD)231.6597
Skewness0.94331969
Sum17956929
Variance869886.2
MonotonicityNot monotonic
2024-05-11T04:10:40.152191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
448396.939704285 12
30.0%
448165.279999905 11
27.5%
450393.660973724 10
25.0%
448616.847693458 5
12.5%
448922.881688102 1
 
2.5%
450403.56464782 1
 
2.5%
ValueCountFrequency (%)
448165.279999905 11
27.5%
448396.939704285 12
30.0%
448616.847693458 5
12.5%
448922.881688102 1
 
2.5%
450393.660973724 10
25.0%
450403.56464782 1
 
2.5%
ValueCountFrequency (%)
450403.56464782 1
 
2.5%
450393.660973724 10
25.0%
448922.881688102 1
 
2.5%
448616.847693458 5
12.5%
448396.939704285 12
30.0%
448165.279999905 11
27.5%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
영화상영관
39 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.975
Min length4

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 39
97.5%
<NA> 1
 
2.5%

Length

2024-05-11T04:10:40.586744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:41.075503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 39
97.5%
na 1
 
2.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
영화상영관
22 
<NA>
18 

Length

Max length5
Median length5
Mean length4.55
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 22
55.0%
<NA> 18
45.0%

Length

2024-05-11T04:10:41.501809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:41.940959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 22
55.0%
na 18
45.0%

총층수
Categorical

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
22 
14
10 
4
5 
0
 
1
10
 
1

Length

Max length4
Median length4
Mean length2.925
Min length1

Unique

Unique3 ?
Unique (%)7.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
55.0%
14 10
25.0%
4 5
 
12.5%
0 1
 
2.5%
10 1
 
2.5%
1 1
 
2.5%

Length

2024-05-11T04:10:42.619437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:43.079165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
55.0%
14 10
25.0%
4 5
 
12.5%
0 1
 
2.5%
10 1
 
2.5%
1 1
 
2.5%

주변환경명
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
23 
기타
16 
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.3
Min length2

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
57.5%
기타 16
40.0%
학교정화(상대) 1
 
2.5%

Length

2024-05-11T04:10:43.509697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:43.913353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
57.5%
기타 16
40.0%
학교정화(상대 1
 
2.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-05-11T04:10:44.551754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:44.899132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)15.4%
Missing1
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean7.9487179
Minimum0
Maximum14
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-05-11T04:10:45.186343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q13
median10
Q312
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.656341
Coefficient of variation (CV)0.58579774
Kurtosis-1.5863529
Mean7.9487179
Median Absolute Deviation (MAD)4
Skewness0.045817721
Sum310
Variance21.681511
MonotonicityNot monotonic
2024-05-11T04:10:45.558194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10 11
27.5%
3 11
27.5%
14 10
25.0%
4 5
12.5%
7 1
 
2.5%
0 1
 
2.5%
(Missing) 1
 
2.5%
ValueCountFrequency (%)
0 1
 
2.5%
3 11
27.5%
4 5
12.5%
7 1
 
2.5%
10 11
27.5%
14 10
25.0%
ValueCountFrequency (%)
14 10
25.0%
10 11
27.5%
7 1
 
2.5%
4 5
12.5%
3 11
27.5%
0 1
 
2.5%

지하층수
Categorical

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
3
17 
<NA>
12 
4
10 
1
 
1

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 17
42.5%
<NA> 12
30.0%
4 10
25.0%
1 1
 
2.5%

Length

2024-05-11T04:10:46.079129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:46.533504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 17
42.5%
na 12
30.0%
4 10
25.0%
1 1
 
2.5%

건물용도명
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
문화시설
27 
<NA>
12 
근린생활시설
 
1

Length

Max length6
Median length4
Mean length4.05
Min length4

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
문화시설 27
67.5%
<NA> 12
30.0%
근린생활시설 1
 
2.5%

Length

2024-05-11T04:10:47.035282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:47.443269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화시설 27
67.5%
na 12
30.0%
근린생활시설 1
 
2.5%

통로너비
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
34 
1
5 
0
 
1

Length

Max length4
Median length4
Mean length3.55
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
85.0%
1 5
 
12.5%
0 1
 
2.5%

Length

2024-05-11T04:10:47.920803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:48.406167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
85.0%
1 5
 
12.5%
0 1
 
2.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-05-11T04:10:48.848684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:49.203485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-05-11T04:10:49.581165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:49.911219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-05-11T04:10:50.282417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:50.668737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-05-11T04:10:51.034829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:51.410157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

공연장형태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
영화관
39 
<NA>
 
1

Length

Max length4
Median length3
Mean length3.025
Min length3

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 39
97.5%
<NA> 1
 
2.5%

Length

2024-05-11T04:10:51.840875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:52.260868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 39
97.5%
na 1
 
2.5%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)17.9%
Missing1
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean20080749
Minimum19980325
Maximum20180126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-05-11T04:10:52.674552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980325
5-th percentile19980327
Q119980327
median20090723
Q320120511
95-th percentile20180126
Maximum20180126
Range199801
Interquartile range (IQR)140184

Descriptive statistics

Standard deviation69136.175
Coefficient of variation (CV)0.0034429082
Kurtosis-1.0392381
Mean20080749
Median Absolute Deviation (MAD)29788
Skewness-0.45298869
Sum7.8314922 × 108
Variance4.7798107 × 109
MonotonicityNot monotonic
2024-05-11T04:10:53.149570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20120511 11
27.5%
20090723 10
25.0%
19980327 9
22.5%
20180126 5
12.5%
19980325 2
 
5.0%
20101223 1
 
2.5%
20130924 1
 
2.5%
(Missing) 1
 
2.5%
ValueCountFrequency (%)
19980325 2
 
5.0%
19980327 9
22.5%
20090723 10
25.0%
20101223 1
 
2.5%
20120511 11
27.5%
20130924 1
 
2.5%
20180126 5
12.5%
ValueCountFrequency (%)
20180126 5
12.5%
20130924 1
 
2.5%
20120511 11
27.5%
20101223 1
 
2.5%
20090723 10
25.0%
19980327 9
22.5%
19980325 2
 
5.0%

지역구분명
Categorical

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
12 
준주거지역
12 
일반상업지역
10 
일반주거지역
5 
관리지역
 
1

Length

Max length6
Median length5
Mean length5.05
Min length4

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 12
30.0%
준주거지역 12
30.0%
일반상업지역 10
25.0%
일반주거지역 5
12.5%
관리지역 1
 
2.5%

Length

2024-05-11T04:10:53.631879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:10:54.022388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
30.0%
준주거지역 12
30.0%
일반상업지역 10
25.0%
일반주거지역 5
12.5%
관리지역 1
 
2.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFF422000199800000119980325<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 STAR 2관2021-04-21 18:24:42U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980325<NA>
13040000CDFF422000199800000219980325<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 STAR 3관2021-04-21 18:46:58U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980325<NA>
23040000CDFF422000199800000319980327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 4DX 1관2021-04-21 18:49:28U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980327<NA>
33040000CDFF422000199800000419980327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 제4관[CGV 아트하우스]2021-04-21 18:45:40U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980327<NA>
43040000CDFF422000199800000519980327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 제5관2021-04-21 18:44:30U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980327<NA>
53040000CDFF422000199800000619980327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 제6관2021-04-21 18:43:11U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980327<NA>
63040000CDFF422000199800000719980327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 제7관2021-04-21 18:41:48U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980327<NA>
73040000CDFF422000199800000819980327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 제8관2021-04-21 18:40:28U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980327<NA>
83040000CDFF422000199800000919980327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 제9관2021-04-21 18:38:57U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980327<NA>
93040000CDFF422000199800001019980327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노마트10층서울특별시 광진구 광나루로56길 85, 10층 (구의동, 테크노마트)5116CGV강변11 제10관2021-04-21 18:34:15U2021-04-23 02:40:00.0<NA>208394.416382448165.28영화상영관영화상영관<NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980327<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
303040000CDFF422000200900000920090723<NA>1영업/정상13영업중<NA><NA><NA><NA>02-461-1941<NA><NA>서울특별시 광진구 군자동 477-12번지서울특별시 광진구 능동로 289 (군자동)<NA>메가박스 군자102018-09-12 17:31:59U2018-09-12 23:59:59.0<NA>206852.360929450393.660974영화상영관<NA>14<NA><NA><NA>144문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20090723일반상업지역
313040000CDFF422000200900001020090723<NA>1영업/정상13영업중<NA><NA><NA><NA>02-461-1941<NA><NA>서울특별시 광진구 군자동 477-12번지서울특별시 광진구 능동로 289 (군자동)<NA>메가박스 군자62018-09-12 17:31:59U2018-09-12 23:59:59.0<NA>206852.360929450393.660974영화상영관<NA>14<NA><NA><NA>144문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20090723일반상업지역
323040000CDFF422000201000000120101223<NA>1영업/정상13영업중<NA><NA><NA><NA>02-446-6579<NA><NA>서울특별시 광진구 화양동 1번지 건국대학교 예술문화대학 지하1층<NA><NA>KU시네마테크2019-02-11 10:03:28U2019-02-13 02:40:00.0<NA>206445.881092448922.881688영화상영관<NA>10학교정화(상대)<NA><NA>73문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20101223관리지역
333040000CDFF422000201200000120120511<NA>3폐업3폐업20220825<NA><NA><NA>02-2024-1646<NA><NA>서울특별시 광진구 자양동 227-7 더샵스타시티서울특별시 광진구 아차산로 272, 더샵스타시티 (자양동)5065롯데시네마 건대입구관 (아르떼관)2022-09-13 09:02:38U2021-12-08 23:05:00.0<NA>206349.675048448396.939704<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343040000CDFF422000201300000120130924<NA>3폐업34영업장폐쇄20150201<NA><NA><NA>02-457-0437<NA><NA>서울특별시 광진구 군자동 476-10번지서울특별시 광진구 능동로31길 14 (군자동)4997쇼앤톡카페시네마2017-02-27 13:37:47I2018-08-31 23:59:59.0<NA>206802.967181450403.564648영화상영관<NA>1<NA><NA><NA>01근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20130924준주거지역
353040000CDFF422000201800000120180126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 9-4 몰오브케이서울특별시 광진구 아차산로30길 26, 몰오브케이 3층 (자양동)5072CGV 건대입구 제1관2021-04-26 18:30:10U2021-04-28 02:40:00.0<NA>205845.946724448616.847693영화상영관<NA>4기타<NA><NA>43문화시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20180126일반주거지역
363040000CDFF422000201800000220180126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 9-4 몰오브케이서울특별시 광진구 아차산로30길 26, 몰오브케이 3층 (자양동)5072CGV 건대입구 제2관2021-04-26 18:32:40U2021-04-28 02:40:00.0<NA>205845.946724448616.847693영화상영관<NA>4기타<NA><NA>43문화시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20180126일반주거지역
373040000CDFF422000201800000320180126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 9-4 몰오브케이서울특별시 광진구 아차산로30길 26, 몰오브케이 4층 (자양동)5072CGV 건대입구 제3관2021-04-26 18:33:43U2021-04-28 02:40:00.0<NA>205845.946724448616.847693영화상영관<NA>4기타<NA><NA>43문화시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20180126일반주거지역
383040000CDFF422000201800000420180126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 9-4 몰오브케이서울특별시 광진구 아차산로30길 26, 몰오브케이 4층 (자양동)5072CGV 건대입구 제4관2021-04-26 18:34:29U2021-04-28 02:40:00.0<NA>205845.946724448616.847693영화상영관<NA>4기타<NA><NA>43문화시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20180126일반주거지역
393040000CDFF422000201800000520180126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 9-4 몰오브케이서울특별시 광진구 아차산로30길 26, 몰오브케이 4층 (자양동)5072CGV 건대입구 제5관2021-04-26 18:35:07U2021-04-28 02:40:00.0<NA>205845.946724448616.847693영화상영관<NA>4기타<NA><NA>43문화시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20180126일반주거지역