Overview

Dataset statistics

Number of variables56
Number of observations37
Missing cells1053
Missing cells (%)50.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.9 KiB
Average record size in memory495.6 B

Variable types

Categorical17
Text5
DateTime3
Unsupported26
Numeric5

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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17642/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (65.8%)Imbalance
총층수 is highly imbalanced (59.4%)Imbalance
시설면적 is highly imbalanced (59.4%)Imbalance
지상층수 is highly imbalanced (59.4%)Imbalance
지하층수 is highly imbalanced (59.4%)Imbalance
통로너비 is highly imbalanced (59.4%)Imbalance
조명시설조도 is highly imbalanced (59.4%)Imbalance
노래방실수 is highly imbalanced (59.4%)Imbalance
청소년실수 is highly imbalanced (59.4%)Imbalance
총게임기수 is highly imbalanced (59.4%)Imbalance
인허가취소일자 has 37 (100.0%) missing valuesMissing
폐업일자 has 30 (81.1%) missing valuesMissing
휴업시작일자 has 37 (100.0%) missing valuesMissing
휴업종료일자 has 37 (100.0%) missing valuesMissing
재개업일자 has 37 (100.0%) missing valuesMissing
전화번호 has 29 (78.4%) missing valuesMissing
소재지면적 has 37 (100.0%) missing valuesMissing
도로명주소 has 2 (5.4%) missing valuesMissing
도로명우편번호 has 5 (13.5%) missing valuesMissing
업태구분명 has 37 (100.0%) missing valuesMissing
좌표정보(X) has 7 (18.9%) missing valuesMissing
좌표정보(Y) has 7 (18.9%) missing valuesMissing
문화사업자구분명 has 37 (100.0%) missing valuesMissing
주변환경명 has 37 (100.0%) missing valuesMissing
제작취급품목내용 has 37 (100.0%) missing valuesMissing
건물용도명 has 37 (100.0%) missing valuesMissing
비상계단여부 has 37 (100.0%) missing valuesMissing
비상구여부 has 37 (100.0%) missing valuesMissing
자동환기여부 has 37 (100.0%) missing valuesMissing
청소년실여부 has 37 (100.0%) missing valuesMissing
특수조명여부 has 37 (100.0%) missing valuesMissing
방음시설여부 has 37 (100.0%) missing valuesMissing
비디오재생기명 has 37 (100.0%) missing valuesMissing
조명시설유무 has 37 (100.0%) missing valuesMissing
음향시설여부 has 37 (100.0%) missing valuesMissing
편의시설여부 has 37 (100.0%) missing valuesMissing
소방시설여부 has 37 (100.0%) missing valuesMissing
기존게임업외업종명 has 37 (100.0%) missing valuesMissing
제공게임물명 has 37 (100.0%) missing valuesMissing
공연장형태구분명 has 37 (100.0%) missing valuesMissing
품목명 has 37 (100.0%) missing valuesMissing
최초등록시점 has 11 (29.7%) missing valuesMissing
지역구분명 has 37 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
건물용도명 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
공연장형태구분명 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:02:11.379132
Analysis finished2024-04-06 12:02:12.436697
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
3150000
37 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 37
100.0%

Length

2024-04-06T21:02:12.719298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:12.998312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 37
100.0%

관리번호
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-04-06T21:02:13.443654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters740
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

Unique37 ?
Unique (%)100.0%

Sample

1st rowCDFF5211032000000001
2nd rowCDFF5211032005000001
3rd rowCDFF5211032007000001
4th rowCDFF5211032008000001
5th rowCDFF5211032009000001
ValueCountFrequency (%)
cdff5211032000000001 1
 
2.7%
cdff5211032019000001 1
 
2.7%
cdff5211032020000002 1
 
2.7%
cdff5211032020000004 1
 
2.7%
cdff5211032020000005 1
 
2.7%
cdff5211032021000001 1
 
2.7%
cdff5211032021000002 1
 
2.7%
cdff5211032021000003 1
 
2.7%
cdff5211032021000004 1
 
2.7%
cdff5211032021000006 1
 
2.7%
Other values (27) 27
73.0%
2024-04-06T21:02:14.232408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 270
36.5%
1 108
 
14.6%
2 107
 
14.5%
F 74
 
10.0%
3 49
 
6.6%
5 41
 
5.5%
C 37
 
5.0%
D 37
 
5.0%
4 6
 
0.8%
7 3
 
0.4%
Other values (3) 8
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 592
80.0%
Uppercase Letter 148
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 270
45.6%
1 108
 
18.2%
2 107
 
18.1%
3 49
 
8.3%
5 41
 
6.9%
4 6
 
1.0%
7 3
 
0.5%
8 3
 
0.5%
9 3
 
0.5%
6 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 74
50.0%
C 37
25.0%
D 37
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 592
80.0%
Latin 148
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 270
45.6%
1 108
 
18.2%
2 107
 
18.1%
3 49
 
8.3%
5 41
 
6.9%
4 6
 
1.0%
7 3
 
0.5%
8 3
 
0.5%
9 3
 
0.5%
6 2
 
0.3%
Latin
ValueCountFrequency (%)
F 74
50.0%
C 37
25.0%
D 37
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 270
36.5%
1 108
 
14.6%
2 107
 
14.5%
F 74
 
10.0%
3 49
 
6.6%
5 41
 
5.5%
C 37
 
5.0%
D 37
 
5.0%
4 6
 
0.8%
7 3
 
0.4%
Other values (3) 8
 
1.1%

인허가일자
Date

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2000-01-28 00:00:00
Maximum2023-01-31 00:00:00
2024-04-06T21:02:14.478501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:02:14.773961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
1
30 
3
5 
5
 
2

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 30
81.1%
3 5
 
13.5%
5 2
 
5.4%

Length

2024-04-06T21:02:15.090233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:15.285319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
81.1%
3 5
 
13.5%
5 2
 
5.4%

영업상태명
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
영업/정상
30 
폐업
5 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.7567568
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 30
81.1%
폐업 5
 
13.5%
제외/삭제/전출 2
 
5.4%

Length

2024-04-06T21:02:15.507328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:15.716214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
81.1%
폐업 5
 
13.5%
제외/삭제/전출 2
 
5.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
13
30 
3
5 
15
 
2

Length

Max length2
Median length2
Mean length1.8648649
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 30
81.1%
3 5
 
13.5%
15 2
 
5.4%

Length

2024-04-06T21:02:15.897243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:16.102216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 30
81.1%
3 5
 
13.5%
15 2
 
5.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
영업중
30 
폐업
5 
전출
 
2

Length

Max length3
Median length3
Mean length2.8108108
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 30
81.1%
폐업 5
 
13.5%
전출 2
 
5.4%

Length

2024-04-06T21:02:16.348876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:16.621346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 30
81.1%
폐업 5
 
13.5%
전출 2
 
5.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing30
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean20186547
Minimum20140123
Maximum20221207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-04-06T21:02:16.849834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140123
5-th percentile20140275
Q120160775
median20191017
Q320215966
95-th percentile20221094
Maximum20221207
Range81084
Interquartile range (IQR)55191

Descriptive statistics

Standard deviation34868.254
Coefficient of variation (CV)0.0017273016
Kurtosis-1.5232747
Mean20186547
Median Absolute Deviation (MAD)29812
Skewness-0.55160118
Sum1.4130583 × 108
Variance1.2157952 × 109
MonotonicityNot monotonic
2024-04-06T21:02:17.168054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20140630 1
 
2.7%
20140123 1
 
2.7%
20180920 1
 
2.7%
20191017 1
 
2.7%
20211103 1
 
2.7%
20220829 1
 
2.7%
20221207 1
 
2.7%
(Missing) 30
81.1%
ValueCountFrequency (%)
20140123 1
2.7%
20140630 1
2.7%
20180920 1
2.7%
20191017 1
2.7%
20211103 1
2.7%
20220829 1
2.7%
20221207 1
2.7%
ValueCountFrequency (%)
20221207 1
2.7%
20220829 1
2.7%
20211103 1
2.7%
20191017 1
2.7%
20180920 1
2.7%
20140630 1
2.7%
20140123 1
2.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

전화번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing29
Missing (%)78.4%
Memory size428.0 B
2024-04-06T21:02:17.452384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length12
Min length11

Characters and Unicode

Total characters96
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row02-2651-7169
2nd row02-2667-0229
3rd row02-2690-3589
4th row070-4189-1491
5th row02-576-1884
ValueCountFrequency (%)
02-2651-7169 1
12.5%
02-2667-0229 1
12.5%
02-2690-3589 1
12.5%
070-4189-1491 1
12.5%
02-576-1884 1
12.5%
02-3660-3800 1
12.5%
070-8095-2088 1
12.5%
02-716-8850 1
12.5%
2024-04-06T21:02:17.954778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18
18.8%
- 16
16.7%
2 12
12.5%
8 10
10.4%
6 9
9.4%
1 7
 
7.3%
9 7
 
7.3%
7 6
 
6.2%
5 5
 
5.2%
3 3
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80
83.3%
Dash Punctuation 16
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
22.5%
2 12
15.0%
8 10
12.5%
6 9
11.2%
1 7
 
8.8%
9 7
 
8.8%
7 6
 
7.5%
5 5
 
6.2%
3 3
 
3.8%
4 3
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18
18.8%
- 16
16.7%
2 12
12.5%
8 10
10.4%
6 9
9.4%
1 7
 
7.3%
9 7
 
7.3%
7 6
 
6.2%
5 5
 
5.2%
3 3
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18
18.8%
- 16
16.7%
2 12
12.5%
8 10
10.4%
6 9
9.4%
1 7
 
7.3%
9 7
 
7.3%
7 6
 
6.2%
5 5
 
5.2%
3 3
 
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
32 
157818
 
1
157889
 
1
157928
 
1
157771
 
1

Length

Max length6
Median length4
Mean length4.2702703
Min length4

Unique

Unique5 ?
Unique (%)13.5%

Sample

1st row157818
2nd row157889
3rd row157928
4th row<NA>
5th row157771

Common Values

ValueCountFrequency (%)
<NA> 32
86.5%
157818 1
 
2.7%
157889 1
 
2.7%
157928 1
 
2.7%
157771 1
 
2.7%
157754 1
 
2.7%

Length

2024-04-06T21:02:18.197616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:18.411735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
86.5%
157818 1
 
2.7%
157889 1
 
2.7%
157928 1
 
2.7%
157771 1
 
2.7%
157754 1
 
2.7%

지번주소
Text

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-04-06T21:02:18.751709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length28.432432
Min length18

Characters and Unicode

Total characters1052
Distinct characters113
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)89.2%

Sample

1st row서울특별시 강서구 공항동 ***-*번지
2nd row서울특별시 강서구 화곡동 ***-**번지 인터시티빌라 라동 ***호
3rd row서울특별시 강서구 화곡동 ****-*번지
4th row서울특별시 강서구 가양동 ***-**번지 다래빌딩 *층
5th row서울특별시 강서구 등촌동 ***번지 미주진로아파트 ***동 ***호
ValueCountFrequency (%)
서울특별시 37
18.7%
강서구 37
18.7%
번지 20
10.1%
16
8.1%
호 12
 
6.1%
마곡동 12
 
6.1%
등촌동 10
 
5.1%
화곡동 7
 
3.5%
층 6
 
3.0%
가양동 4
 
2.0%
Other values (33) 37
18.7%
2024-04-06T21:02:19.340452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 201
19.1%
176
16.7%
서 75
 
7.1%
동 45
 
4.3%
시 38
 
3.6%
울 38
 
3.6%
특 37
 
3.5%
별 37
 
3.5%
강 37
 
3.5%
구 37
 
3.5%
Other values (103) 331
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
60.3%
Other Punctuation 202
 
19.2%
Space Separator 176
 
16.7%
Dash Punctuation 28
 
2.7%
Decimal Number 8
 
0.8%
Uppercase Letter 3
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 75
 
11.8%
동 45
 
7.1%
시 38
 
6.0%
울 38
 
6.0%
특 37
 
5.8%
별 37
 
5.8%
강 37
 
5.8%
구 37
 
5.8%
곡 21
 
3.3%
지 21
 
3.3%
Other values (89) 248
39.1%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
7 1
12.5%
0 1
12.5%
8 1
12.5%
9 1
12.5%
6 1
12.5%
3 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 201
99.5%
, 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
60.3%
Common 414
39.4%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 75
 
11.8%
동 45
 
7.1%
시 38
 
6.0%
울 38
 
6.0%
특 37
 
5.8%
별 37
 
5.8%
강 37
 
5.8%
구 37
 
5.8%
곡 21
 
3.3%
지 21
 
3.3%
Other values (89) 248
39.1%
Common
ValueCountFrequency (%)
* 201
48.6%
176
42.5%
- 28
 
6.8%
1 2
 
0.5%
, 1
 
0.2%
7 1
 
0.2%
0 1
 
0.2%
8 1
 
0.2%
9 1
 
0.2%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
B 2
50.0%
C 1
25.0%
Ⅰ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
60.3%
ASCII 417
39.6%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 201
48.2%
176
42.2%
- 28
 
6.7%
B 2
 
0.5%
1 2
 
0.5%
, 1
 
0.2%
7 1
 
0.2%
0 1
 
0.2%
C 1
 
0.2%
8 1
 
0.2%
Other values (3) 3
 
0.7%
Hangul
ValueCountFrequency (%)
서 75
 
11.8%
동 45
 
7.1%
시 38
 
6.0%
울 38
 
6.0%
특 37
 
5.8%
별 37
 
5.8%
강 37
 
5.8%
구 37
 
5.8%
곡 21
 
3.3%
지 21
 
3.3%
Other values (89) 248
39.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명주소
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing2
Missing (%)5.4%
Memory size428.0 B
2024-04-06T21:02:19.722569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length38.485714
Min length25

Characters and Unicode

Total characters1347
Distinct characters137
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 초록마을로**길 **, 라동 ***호 (화곡동,인터시티빌라)
2nd row서울특별시 강서구 강서로 ***, *층 (가양동, 다래빌딩)
3rd row서울특별시 강서구 공항대로 ***-**, ***동 ***호 (등촌동,미주진로아파트)
4th row서울특별시 강서구 강서로 ***, ***호 (등촌동,우리벤처타운)
5th row서울특별시 강서구 곰달래로**나길 ** (화곡동)
ValueCountFrequency (%)
서울특별시 35
14.2%
강서구 35
14.2%
35
14.2%
호 22
 
8.9%
층 13
 
5.3%
마곡동 12
 
4.9%
공항대로 9
 
3.6%
등촌동 8
 
3.2%
화곡동 5
 
2.0%
가양동 4
 
1.6%
Other values (57) 69
27.9%
2024-04-06T21:02:20.345644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 228
16.9%
213
 
15.8%
서 74
 
5.5%
, 49
 
3.6%
동 47
 
3.5%
강 38
 
2.8%
로 37
 
2.7%
시 37
 
2.7%
) 36
 
2.7%
울 36
 
2.7%
Other values (127) 552
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 760
56.4%
Other Punctuation 277
 
20.6%
Space Separator 213
 
15.8%
Close Punctuation 36
 
2.7%
Open Punctuation 36
 
2.7%
Dash Punctuation 10
 
0.7%
Decimal Number 8
 
0.6%
Uppercase Letter 6
 
0.4%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 74
 
9.7%
동 47
 
6.2%
강 38
 
5.0%
로 37
 
4.9%
시 37
 
4.9%
울 36
 
4.7%
특 35
 
4.6%
별 35
 
4.6%
구 35
 
4.6%
곡 31
 
4.1%
Other values (111) 355
46.7%
Decimal Number
ValueCountFrequency (%)
6 2
25.0%
1 2
25.0%
7 1
12.5%
0 1
12.5%
3 1
12.5%
8 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
B 2
33.3%
C 2
33.3%
Other Punctuation
ValueCountFrequency (%)
* 228
82.3%
, 49
 
17.7%
Space Separator
ValueCountFrequency (%)
213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 760
56.4%
Common 580
43.1%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 74
 
9.7%
동 47
 
6.2%
강 38
 
5.0%
로 37
 
4.9%
시 37
 
4.9%
울 36
 
4.7%
특 35
 
4.6%
별 35
 
4.6%
구 35
 
4.6%
곡 31
 
4.1%
Other values (111) 355
46.7%
Common
ValueCountFrequency (%)
* 228
39.3%
213
36.7%
, 49
 
8.4%
) 36
 
6.2%
( 36
 
6.2%
- 10
 
1.7%
6 2
 
0.3%
1 2
 
0.3%
7 1
 
0.2%
0 1
 
0.2%
Other values (2) 2
 
0.3%
Latin
ValueCountFrequency (%)
A 2
28.6%
B 2
28.6%
C 2
28.6%
Ⅰ 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 760
56.4%
ASCII 586
43.5%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 228
38.9%
213
36.3%
, 49
 
8.4%
) 36
 
6.1%
( 36
 
6.1%
- 10
 
1.7%
6 2
 
0.3%
A 2
 
0.3%
1 2
 
0.3%
B 2
 
0.3%
Other values (5) 6
 
1.0%
Hangul
ValueCountFrequency (%)
서 74
 
9.7%
동 47
 
6.2%
강 38
 
5.0%
로 37
 
4.9%
시 37
 
4.9%
울 36
 
4.7%
특 35
 
4.6%
별 35
 
4.6%
구 35
 
4.6%
곡 31
 
4.1%
Other values (111) 355
46.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)87.5%
Missing5
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean45171.562
Minimum7523
Maximum157916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-04-06T21:02:20.589219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7523
5-th percentile7533.2
Q17584.75
median7670
Q345110
95-th percentile157875
Maximum157916
Range150393
Interquartile range (IQR)37525.25

Descriptive statistics

Standard deviation66035.52
Coefficient of variation (CV)1.4618826
Kurtosis-0.57004993
Mean45171.562
Median Absolute Deviation (MAD)126
Skewness1.2122923
Sum1445490
Variance4.3606899 × 109
MonotonicityNot monotonic
2024-04-06T21:02:20.818765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7803 2
 
5.4%
7801 2
 
5.4%
7788 2
 
5.4%
7600 2
 
5.4%
7590 1
 
2.7%
7531 1
 
2.7%
7549 1
 
2.7%
7631 1
 
2.7%
7535 1
 
2.7%
7807 1
 
2.7%
Other values (18) 18
48.6%
(Missing) 5
 
13.5%
ValueCountFrequency (%)
7523 1
2.7%
7531 1
2.7%
7535 1
2.7%
7549 1
2.7%
7551 1
2.7%
7563 1
2.7%
7567 1
2.7%
7569 1
2.7%
7590 1
2.7%
7591 1
2.7%
ValueCountFrequency (%)
157916 1
2.7%
157886 1
2.7%
157866 1
2.7%
157846 1
2.7%
157836 1
2.7%
157804 1
2.7%
157801 1
2.7%
157019 1
2.7%
7807 1
2.7%
7803 2
5.4%

사업장명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-04-06T21:02:21.217009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length9.027027
Min length3

Characters and Unicode

Total characters334
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row빅시티영상
2nd row시움미디어
3rd row현대약품공업㈜
4th row㈜미디어이야기
5th row무비디스
ValueCountFrequency (%)
주식회사 11
 
20.0%
영화사 2
 
3.6%
주 1
 
1.8%
주)아바엔터테인먼트 1
 
1.8%
m&m인터내셔널 1
 
1.8%
굿데이메이커스 1
 
1.8%
삼륙꽁 1
 
1.8%
이놀미디어 1
 
1.8%
푸르모디티 1
 
1.8%
주)콘텐츠게이트 1
 
1.8%
Other values (34) 34
61.8%
2024-04-06T21:02:21.959853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 21
 
6.3%
18
 
5.4%
이 17
 
5.1%
사 15
 
4.5%
스 11
 
3.3%
회 11
 
3.3%
식 11
 
3.3%
) 10
 
3.0%
( 10
 
3.0%
디 8
 
2.4%
Other values (109) 202
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
86.8%
Space Separator 18
 
5.4%
Close Punctuation 10
 
3.0%
Open Punctuation 10
 
3.0%
Other Symbol 3
 
0.9%
Uppercase Letter 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
7.2%
이 17
 
5.9%
사 15
 
5.2%
스 11
 
3.8%
회 11
 
3.8%
식 11
 
3.8%
디 8
 
2.8%
트 8
 
2.8%
터 7
 
2.4%
미 6
 
2.1%
Other values (103) 175
60.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
87.7%
Common 39
 
11.7%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
7.2%
이 17
 
5.8%
사 15
 
5.1%
스 11
 
3.8%
회 11
 
3.8%
식 11
 
3.8%
디 8
 
2.7%
트 8
 
2.7%
터 7
 
2.4%
미 6
 
2.0%
Other values (104) 178
60.8%
Common
ValueCountFrequency (%)
18
46.2%
) 10
25.6%
( 10
25.6%
& 1
 
2.6%
Latin
ValueCountFrequency (%)
M 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
86.8%
ASCII 41
 
12.3%
None 3
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 21
 
7.2%
이 17
 
5.9%
사 15
 
5.2%
스 11
 
3.8%
회 11
 
3.8%
식 11
 
3.8%
디 8
 
2.8%
트 8
 
2.8%
터 7
 
2.4%
미 6
 
2.1%
Other values (103) 175
60.3%
ASCII
ValueCountFrequency (%)
18
43.9%
) 10
24.4%
( 10
24.4%
M 2
 
4.9%
& 1
 
2.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2010-04-30 10:46:46
Maximum2023-12-06 16:04:53
2024-04-06T21:02:22.196018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:02:22.475202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
I
28 
U
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 28
75.7%
U 9
 
24.3%

Length

2024-04-06T21:02:22.781517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:23.013644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 28
75.7%
u 9
 
24.3%

데이터갱신일자
Date

Distinct22
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 22:04:00
2024-04-06T21:02:23.208889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:02:23.811215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing7
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean186053.61
Minimum183147.51
Maximum188472.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-04-06T21:02:24.037576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183147.51
5-th percentile183494.3
Q1185294.47
median186281.95
Q3187214.74
95-th percentile187937.25
Maximum188472.28
Range5324.7727
Interquartile range (IQR)1920.2783

Descriptive statistics

Standard deviation1450.9014
Coefficient of variation (CV)0.0077982972
Kurtosis-0.60089987
Mean186053.61
Median Absolute Deviation (MAD)974.77404
Skewness-0.41804944
Sum5581608.4
Variance2105114.8
MonotonicityNot monotonic
2024-04-06T21:02:24.421067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
185365.0 2
 
5.4%
184655.264279055 1
 
2.7%
187831.720345753 1
 
2.7%
187381.316533948 1
 
2.7%
184865.68815993 1
 
2.7%
188472.277894258 1
 
2.7%
184343.983714681 1
 
2.7%
185894.465651355 1
 
2.7%
187220.501972892 1
 
2.7%
183147.50519545 1
 
2.7%
Other values (19) 19
51.4%
(Missing) 7
 
18.9%
ValueCountFrequency (%)
183147.50519545 1
2.7%
183413.187725047 1
2.7%
183593.440428788 1
2.7%
183758.0 1
2.7%
184343.983714681 1
2.7%
184655.264279055 1
2.7%
184865.68815993 1
2.7%
185270.953902733 1
2.7%
185365.0 2
5.4%
185796.522248947 1
2.7%
ValueCountFrequency (%)
188472.277894258 1
2.7%
188023.60012538 1
2.7%
187831.720345753 1
2.7%
187682.690357283 1
2.7%
187655.71243134 1
2.7%
187645.622009373 1
2.7%
187381.316533948 1
2.7%
187220.501972892 1
2.7%
187197.468812217 1
2.7%
186679.508617977 1
2.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing7
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean450587.06
Minimum447888.56
Maximum452112.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-04-06T21:02:24.784576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447888.56
5-th percentile448708.78
Q1450261.68
median450743.56
Q3450958.52
95-th percentile451997.3
Maximum452112.78
Range4224.2205
Interquartile range (IQR)696.84291

Descriptive statistics

Standard deviation1042.4079
Coefficient of variation (CV)0.0023134439
Kurtosis0.60898548
Mean450587.06
Median Absolute Deviation (MAD)465.63184
Skewness-0.74971021
Sum13517612
Variance1086614.2
MonotonicityNot monotonic
2024-04-06T21:02:25.030240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
450789.0 2
 
5.4%
451864.298152252 1
 
2.7%
450994.213236731 1
 
2.7%
450751.226503557 1
 
2.7%
450758.165943878 1
 
2.7%
450310.407203034 1
 
2.7%
452112.776501834 1
 
2.7%
452056.331542004 1
 
2.7%
450708.972803874 1
 
2.7%
450836.639078655 1
 
2.7%
Other values (19) 19
51.4%
(Missing) 7
 
18.9%
ValueCountFrequency (%)
447888.555997074 1
2.7%
448388.459353332 1
2.7%
449100.291024467 1
2.7%
449195.917330543 1
2.7%
449322.24782548 1
2.7%
449755.170037306 1
2.7%
450047.730772546 1
2.7%
450245.440336379 1
2.7%
450310.407203034 1
2.7%
450435.220645715 1
2.7%
ValueCountFrequency (%)
452112.776501834 1
2.7%
452056.331542004 1
2.7%
451925.154188831 1
2.7%
451924.086524432 1
2.7%
451864.298152252 1
2.7%
451652.0 1
2.7%
451634.919975729 1
2.7%
450994.213236731 1
2.7%
450851.460122005 1
2.7%
450836.639078655 1
2.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
영화배급업
26 
<NA>
11 

Length

Max length5
Median length5
Mean length4.7027027
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 26
70.3%
<NA> 11
29.7%

Length

2024-04-06T21:02:25.244213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:25.434447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 26
70.3%
na 11
29.7%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
0
 
3

Length

Max length4
Median length4
Mean length3.7567568
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> 34
91.9%
0 3
 
8.1%

Length

2024-04-06T21:02:25.644923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:25.845713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
0 3
 
8.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
0
 
3

Length

Max length4
Median length4
Mean length3.7567568
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> 34
91.9%
0 3
 
8.1%

Length

2024-04-06T21:02:26.083621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:26.294942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
0 3
 
8.1%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
0
 
3

Length

Max length4
Median length4
Mean length3.7567568
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> 34
91.9%
0 3
 
8.1%

Length

2024-04-06T21:02:26.528803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:26.732222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
0 3
 
8.1%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
0
 
3

Length

Max length4
Median length4
Mean length3.7567568
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> 34
91.9%
0 3
 
8.1%

Length

2024-04-06T21:02:27.044552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:27.283645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
0 3
 
8.1%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
0
 
3

Length

Max length4
Median length4
Mean length3.7567568
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> 34
91.9%
0 3
 
8.1%

Length

2024-04-06T21:02:27.512522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:27.712983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
0 3
 
8.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
0
 
3

Length

Max length4
Median length4
Mean length3.7567568
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> 34
91.9%
0 3
 
8.1%

Length

2024-04-06T21:02:27.931357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:28.122468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
0 3
 
8.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
0
 
3

Length

Max length4
Median length4
Mean length3.7567568
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> 34
91.9%
0 3
 
8.1%

Length

2024-04-06T21:02:28.348622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:28.554175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
0 3
 
8.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
0
 
3

Length

Max length4
Median length4
Mean length3.7567568
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> 34
91.9%
0 3
 
8.1%

Length

2024-04-06T21:02:28.756517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:28.958338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
0 3
 
8.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
34 
0
 
3

Length

Max length4
Median length4
Mean length3.7567568
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> 34
91.9%
0 3
 
8.1%

Length

2024-04-06T21:02:29.184048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:02:29.403717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
91.9%
0 3
 
8.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing11
Missing (%)29.7%
Infinite0
Infinite (%)0.0%
Mean20137931
Minimum20000128
Maximum20211021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-04-06T21:02:29.603910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000128
5-th percentile20055967
Q120113441
median20140560
Q320178031
95-th percentile20210862
Maximum20211021
Range210893
Interquartile range (IQR)64589.5

Descriptive statistics

Standard deviation53321.231
Coefficient of variation (CV)0.0026478008
Kurtosis0.29980784
Mean20137931
Median Absolute Deviation (MAD)35098.5
Skewness-0.59283707
Sum5.235862 × 108
Variance2.8431536 × 109
MonotonicityNot monotonic
2024-04-06T21:02:29.935029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20160202 1
 
2.7%
20211021 1
 
2.7%
20210915 1
 
2.7%
20210705 1
 
2.7%
20121112 1
 
2.7%
20200820 1
 
2.7%
20190219 1
 
2.7%
20200217 1
 
2.7%
20160118 1
 
2.7%
20180403 1
 
2.7%
Other values (16) 16
43.2%
(Missing) 11
29.7%
ValueCountFrequency (%)
20000128 1
2.7%
20051219 1
2.7%
20070212 1
2.7%
20080917 1
2.7%
20090817 1
2.7%
20090916 1
2.7%
20111215 1
2.7%
20120120 1
2.7%
20121031 1
2.7%
20121112 1
2.7%
ValueCountFrequency (%)
20211021 1
2.7%
20210915 1
2.7%
20210705 1
2.7%
20200820 1
2.7%
20200217 1
2.7%
20190219 1
2.7%
20180403 1
2.7%
20170914 1
2.7%
20160202 1
2.7%
20160118 1
2.7%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF521103200000000120000128<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157818서울특별시 강서구 공항동 ***-*번지<NA><NA>빅시티영상2010-04-30 10:46:46I2018-08-31 23:59:59.0<NA>183593.440429450435.220646영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000128<NA>
13150000CDFF521103200500000120051219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157889서울특별시 강서구 화곡동 ***-**번지 인터시티빌라 라동 ***호서울특별시 강서구 초록마을로**길 **, 라동 ***호 (화곡동,인터시티빌라)<NA>시움미디어2010-04-30 10:48:10I2018-08-31 23:59:59.0<NA>186448.775354448388.459353영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20051219<NA>
23150000CDFF521103200700000120070212<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157928서울특별시 강서구 화곡동 ****-*번지<NA><NA>현대약품공업㈜2010-04-30 10:56:24I2018-08-31 23:59:59.0<NA><NA><NA>영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070212<NA>
33150000CDFF521103200800000120080917<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 ***-**번지 다래빌딩 *층서울특별시 강서구 강서로 ***, *층 (가양동, 다래빌딩)157801㈜미디어이야기2012-06-01 10:34:26I2018-08-31 23:59:59.0<NA>185955.03821451925.154189영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080917<NA>
43150000CDFF521103200900000120090817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157771서울특별시 강서구 등촌동 ***번지 미주진로아파트 ***동 ***호서울특별시 강서구 공항대로 ***-**, ***동 ***호 (등촌동,미주진로아파트)<NA>무비디스2010-04-30 10:52:02I2018-08-31 23:59:59.0<NA>186414.512867450851.460122영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090817<NA>
53150000CDFF521103200900000220090916<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157754서울특별시 강서구 등촌동 ***-*번지 우리벤처타운 ***호서울특별시 강서구 강서로 ***, ***호 (등촌동,우리벤처타운)<NA>㈜에이트웍스2010-04-30 10:54:22I2018-08-31 23:59:59.0<NA>185926.71592451634.919976영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090916<NA>
63150000CDFF521103201200000120120120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ***-**번지서울특별시 강서구 곰달래로**나길 ** (화곡동)157886롤러코스터2012-01-20 11:04:33I2018-08-31 23:59:59.0<NA>186679.508618447888.555997영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120120<NA>
73150000CDFF521103201200000320121031<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 ***-*번지 한화비즈메트로*차 ****호서울특별시 강서구 양천로 ***-**, ****호 (가양동, 한화비즈메트로*차)157804(주)에스엔알미디어2012-10-31 17:49:24I2018-08-31 23:59:59.0<NA>187645.622009450792.69558영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20121031<NA>
83150000CDFF521103201300000120130220<NA>3폐업3폐업20140630<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 **-***번지 *층서울특별시 강서구 화곡로 ***, *층 (화곡동)157866익스트림필름2015-04-30 18:31:13I2018-08-31 23:59:59.0<NA>186199.387943449195.917331영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130220<NA>
93150000CDFF521103201300000220130412<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2651-7169<NA><NA>서울특별시 강서구 등촌동 ***-*번지 *층서울특별시 강서구 등촌로**길 **, *층 (등촌동)157836프리즘2013-04-12 11:19:10I2018-08-31 23:59:59.0<NA>187655.712431449755.170037영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130412<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
273150000CDFF521103202100000420211021<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 보타닉파크타워*서울특별시 강서구 마곡중앙*로 **, 보타닉파크타워* ***-*(*)호 (마곡동)7801주식회사 스나미프로덕션2021-10-21 11:17:26I2021-10-23 00:23:02.0<NA><NA><NA>영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20211021<NA>
283150000CDFF521103202100000620160406<NA>5제외/삭제/전출15전출20221207<NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 639-8 에이스에이존 에이동 1107호서울특별시 강서구 화곡로68길 36, 에이스에이존 에이동 1107호 (등촌동)7567주식회사 씨네에브리웨어2022-12-07 09:49:18U2021-11-02 00:09:00.0<NA>187220.501973450708.972804<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293150000CDFF52110320220000012018-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3660-3800<NA><NA>서울특별시 강서구 가양동 ***-*서울특별시 강서구 강서로 ***-* (가양동)7523주식회사 아이에이치큐2023-11-08 10:57:30U2022-10-31 23:00:00.0<NA>185894.465651452056.331542<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303150000CDFF521103202200000220220727<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8095-2088<NA><NA>서울특별시 강서구 마곡동 ***-** 신안빌라 *동 ***호서울특별시 강서구 방화대로**길 ***, *동 ***호 (마곡동, 신안빌라)7595영화사 이공2022-07-27 09:47:05I2021-12-06 22:09:00.0<NA>184343.983715452112.776502<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313150000CDFF521103202200000320220805<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 류마타워 ***호서울특별시 강서구 공항대로 ***, 류마타워 ***호 (마곡동)7807(주)삼거리픽쳐스2022-08-05 09:52:54I2021-12-08 00:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323150000CDFF521103202200000420220812<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 이너매스마곡Ⅰ서울특별시 강서구 마곡중앙*로 **, 이너매스마곡Ⅰ ***호 (마곡동)7801유나이티드소프트2022-08-12 16:58:15I2021-12-07 23:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333150000CDFF521103202200000520221018<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 염창동 **-*서울특별시 강서구 양천로**길 **-**, *층 (염창동)7535신현원프로덕션2022-10-18 14:42:06I2021-10-30 22:00:00.0<NA>188472.277894450310.407203<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343150000CDFF52110320230000012023-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 마곡지웰타워서울특별시 강서구 공항대로 ***, 마곡지웰타워 *층 (마곡동)7631주식회사 에이투지엔터테인먼트2023-05-30 10:33:50U2022-12-06 00:01:00.0<NA>184865.68816450758.165944<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353150000CDFF52110320230000022012-01-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-716-8850<NA><NA>서울특별시 강서구 등촌동 ***-*서울특별시 강서구 양천로 ***, ****, ****호 (등촌동)7549(주)아바엔터테인먼트2023-07-17 13:55:48I2022-12-06 23:09:00.0<NA>187381.316534450751.226504<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363150000CDFF52110320230000032018-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 **** 가양테크노타운서울특별시 강서구 허준로 ***, 가양테크노타운 ***-*호 (가양동)7531(주) 클래퍼보드2023-12-06 16:04:53I2022-11-02 00:08:00.0<NA>187831.720346450994.213237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>