Overview

Dataset statistics

Number of variables56
Number of observations22
Missing cells629
Missing cells (%)51.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory497.0 B

Variable types

Categorical16
Text5
DateTime4
Unsupported27
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17719/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (56.1%)Imbalance
시설면적 is highly imbalanced (56.1%)Imbalance
지상층수 is highly imbalanced (56.1%)Imbalance
지하층수 is highly imbalanced (56.1%)Imbalance
통로너비 is highly imbalanced (56.1%)Imbalance
조명시설조도 is highly imbalanced (56.1%)Imbalance
노래방실수 is highly imbalanced (56.1%)Imbalance
청소년실수 is highly imbalanced (56.1%)Imbalance
총게임기수 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 16 (72.7%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 13 (59.1%) missing valuesMissing
소재지면적 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
도로명우편번호 has 3 (13.6%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
문화사업자구분명 has 22 (100.0%) missing valuesMissing
주변환경명 has 22 (100.0%) missing valuesMissing
제작취급품목내용 has 22 (100.0%) missing valuesMissing
건물용도명 has 22 (100.0%) missing valuesMissing
비상계단여부 has 22 (100.0%) missing valuesMissing
비상구여부 has 22 (100.0%) missing valuesMissing
자동환기여부 has 22 (100.0%) missing valuesMissing
청소년실여부 has 22 (100.0%) missing valuesMissing
특수조명여부 has 22 (100.0%) missing valuesMissing
방음시설여부 has 22 (100.0%) missing valuesMissing
비디오재생기명 has 22 (100.0%) missing valuesMissing
조명시설유무 has 22 (100.0%) missing valuesMissing
음향시설여부 has 22 (100.0%) missing valuesMissing
편의시설여부 has 22 (100.0%) missing valuesMissing
소방시설여부 has 22 (100.0%) missing valuesMissing
기존게임업외업종명 has 22 (100.0%) missing valuesMissing
제공게임물명 has 22 (100.0%) missing valuesMissing
공연장형태구분명 has 22 (100.0%) missing valuesMissing
품목명 has 22 (100.0%) missing valuesMissing
최초등록시점 has 3 (13.6%) missing valuesMissing
지역구분명 has 22 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
도로명주소 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
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
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 started2024-05-11 03:13:25.272749
Analysis finished2024-05-11 03:13:26.556147
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3170000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 22
100.0%

Length

2024-05-11T03:13:26.828743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:27.208019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 22
100.0%

관리번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T03:13:27.832491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters440
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

Unique22 ?
Unique (%)100.0%

Sample

1st rowCDFF5211022009000001
2nd rowCDFF5211022011000001
3rd rowCDFF5211022011000003
4th rowCDFF5211022011000004
5th rowCDFF5211022012000001
ValueCountFrequency (%)
cdff5211022009000001 1
 
4.5%
cdff5211022011000001 1
 
4.5%
cdff5211022022000001 1
 
4.5%
cdff5211022021000001 1
 
4.5%
cdff5211022020000001 1
 
4.5%
cdff5211022019000002 1
 
4.5%
cdff5211022019000001 1
 
4.5%
cdff5211022018000005 1
 
4.5%
cdff5211022018000003 1
 
4.5%
cdff5211022018000002 1
 
4.5%
Other values (12) 12
54.5%
2024-05-11T03:13:29.095999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 156
35.5%
2 79
18.0%
1 75
17.0%
F 44
 
10.0%
5 25
 
5.7%
C 22
 
5.0%
D 22
 
5.0%
3 4
 
0.9%
8 4
 
0.9%
9 3
 
0.7%
Other values (3) 6
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
80.0%
Uppercase Letter 88
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 156
44.3%
2 79
22.4%
1 75
21.3%
5 25
 
7.1%
3 4
 
1.1%
8 4
 
1.1%
9 3
 
0.9%
7 3
 
0.9%
4 2
 
0.6%
6 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
80.0%
Latin 88
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 156
44.3%
2 79
22.4%
1 75
21.3%
5 25
 
7.1%
3 4
 
1.1%
8 4
 
1.1%
9 3
 
0.9%
7 3
 
0.9%
4 2
 
0.6%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 156
35.5%
2 79
18.0%
1 75
17.0%
F 44
 
10.0%
5 25
 
5.7%
C 22
 
5.0%
D 22
 
5.0%
3 4
 
0.9%
8 4
 
0.9%
9 3
 
0.7%
Other values (3) 6
 
1.4%

인허가일자
Date

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2003-09-17 00:00:00
Maximum2022-10-13 00:00:00
2024-05-11T03:13:29.601295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:13:30.195909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
16 
3
5 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
72.7%
3 5
 
22.7%
5 1
 
4.5%

Length

2024-05-11T03:13:30.811198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:31.294991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
72.7%
3 5
 
22.7%
5 1
 
4.5%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업/정상
16 
폐업
5 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.4545455
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 16
72.7%
폐업 5
 
22.7%
제외/삭제/전출 1
 
4.5%

Length

2024-05-11T03:13:31.967992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:32.538787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
72.7%
폐업 5
 
22.7%
제외/삭제/전출 1
 
4.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
13
16 
3
5 
15
 
1

Length

Max length2
Median length2
Mean length1.7727273
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 16
72.7%
3 5
 
22.7%
15 1
 
4.5%

Length

2024-05-11T03:13:32.999548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:33.519703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
72.7%
3 5
 
22.7%
15 1
 
4.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업중
16 
폐업
5 
전출
 
1

Length

Max length3
Median length3
Mean length2.7272727
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 16
72.7%
폐업 5
 
22.7%
전출 1
 
4.5%

Length

2024-05-11T03:13:34.000920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:34.508136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
72.7%
폐업 5
 
22.7%
전출 1
 
4.5%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing16
Missing (%)72.7%
Memory size308.0 B
Minimum2015-05-11 00:00:00
Maximum2023-03-29 00:00:00
2024-05-11T03:13:35.273742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:13:35.946240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing13
Missing (%)59.1%
Memory size308.0 B
2024-05-11T03:13:36.388045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.777778
Min length9

Characters and Unicode

Total characters106
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

Unique9 ?
Unique (%)100.0%

Sample

1st row02-576-6604
2nd row02-3442-5393
3rd row3472-3318
4th row070-7602-8955
5th row070-4906-9281
ValueCountFrequency (%)
02-576-6604 1
11.1%
02-3442-5393 1
11.1%
3472-3318 1
11.1%
070-7602-8955 1
11.1%
070-4906-9281 1
11.1%
02-790-8668 1
11.1%
070-4203-1133 1
11.1%
02-565-4428 1
11.1%
070-4667-3601 1
11.1%
2024-05-11T03:13:37.572830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18
17.0%
- 17
16.0%
6 11
10.4%
2 10
9.4%
3 10
9.4%
7 9
8.5%
4 9
8.5%
5 6
 
5.7%
8 6
 
5.7%
9 5
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 89
84.0%
Dash Punctuation 17
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
20.2%
6 11
12.4%
2 10
11.2%
3 10
11.2%
7 9
10.1%
4 9
10.1%
5 6
 
6.7%
8 6
 
6.7%
9 5
 
5.6%
1 5
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18
17.0%
- 17
16.0%
6 11
10.4%
2 10
9.4%
3 10
9.4%
7 9
8.5%
4 9
8.5%
5 6
 
5.7%
8 6
 
5.7%
9 5
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18
17.0%
- 17
16.0%
6 11
10.4%
2 10
9.4%
3 10
9.4%
7 9
8.5%
4 9
8.5%
5 6
 
5.7%
8 6
 
5.7%
9 5
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

지번주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T03:13:38.244547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35.5
Mean length33.136364
Min length20

Characters and Unicode

Total characters729
Distinct characters66
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row서울특별시 금천구 가산동 ***-*번지 에스케이트윈테크타워 B동 ***호
2nd row서울특별시 금천구 가산동 ***-** 에이스하이엔드*차 ****호
3rd row서울특별시 금천구 가산동 ***-**번지 에이스하이엔드타워*차 ****호
4th row서울특별시 금천구 가산동 **-**번지 SJ테크노빌 ****호호
5th row서울특별시 금천구 가산동 ***-**번지 에이스하이엔드 ****호
ValueCountFrequency (%)
서울특별시 22
17.2%
금천구 22
17.2%
가산동 21
16.4%
번지 14
10.9%
호 12
9.4%
8
 
6.2%
에이스 2
 
1.6%
대성디폴리스지식산업센터 2
 
1.6%
호서대벤처타워 1
 
0.8%
차 1
 
0.8%
Other values (23) 23
18.0%
2024-05-11T03:13:39.587420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 151
20.7%
112
 
15.4%
산 27
 
3.7%
동 24
 
3.3%
가 23
 
3.2%
서 23
 
3.2%
금 22
 
3.0%
천 22
 
3.0%
구 22
 
3.0%
시 22
 
3.0%
Other values (56) 281
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
60.6%
Other Punctuation 151
 
20.7%
Space Separator 112
 
15.4%
Dash Punctuation 20
 
2.7%
Uppercase Letter 3
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 27
 
6.1%
동 24
 
5.4%
가 23
 
5.2%
서 23
 
5.2%
금 22
 
5.0%
천 22
 
5.0%
구 22
 
5.0%
시 22
 
5.0%
별 22
 
5.0%
특 22
 
5.0%
Other values (49) 213
48.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
J 1
33.3%
S 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 151
100.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
60.6%
Common 283
38.8%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 27
 
6.1%
동 24
 
5.4%
가 23
 
5.2%
서 23
 
5.2%
금 22
 
5.0%
천 22
 
5.0%
구 22
 
5.0%
시 22
 
5.0%
별 22
 
5.0%
특 22
 
5.0%
Other values (49) 213
48.2%
Latin
ValueCountFrequency (%)
B 1
25.0%
J 1
25.0%
S 1
25.0%
b 1
25.0%
Common
ValueCountFrequency (%)
* 151
53.4%
112
39.6%
- 20
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
60.6%
ASCII 287
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 151
52.6%
112
39.0%
- 20
 
7.0%
B 1
 
0.3%
J 1
 
0.3%
S 1
 
0.3%
b 1
 
0.3%
Hangul
ValueCountFrequency (%)
산 27
 
6.1%
동 24
 
5.4%
가 23
 
5.2%
서 23
 
5.2%
금 22
 
5.0%
천 22
 
5.0%
구 22
 
5.0%
시 22
 
5.0%
별 22
 
5.0%
특 22
 
5.0%
Other values (49) 213
48.2%

도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T03:13:40.266771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length43.636364
Min length36

Characters and Unicode

Total characters960
Distinct characters78
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 금천구 가산디지털*로 ***, B동 *층 ***호 (가산동, 에스케이트윈테크타워)
2nd row서울특별시 금천구 가산디지털*로 ***, ****호 (가산동,에이스하이엔드*차)
3rd row서울특별시 금천구 가산디지털*로 **, ****호 (가산동,에이스하이엔드타워*차)
4th row서울특별시 금천구 벚꽃로 ***, ****호호 (가산동,SJ테크노빌)
5th row서울특별시 금천구 가산디지털*로 **, ****호 (가산동, 에이스하이엔드*차)
ValueCountFrequency (%)
서울특별시 22
13.5%
22
13.5%
금천구 22
13.5%
호 19
11.7%
가산동 18
11.0%
가산디지털*로 13
 
8.0%
b동 3
 
1.8%
층 3
 
1.8%
서부샛길 2
 
1.2%
디지털로 2
 
1.2%
Other values (33) 37
22.7%
2024-05-11T03:13:41.600206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 167
 
17.4%
143
 
14.9%
산 42
 
4.4%
가 36
 
3.8%
, 34
 
3.5%
동 27
 
2.8%
서 25
 
2.6%
호 23
 
2.4%
지 22
 
2.3%
울 22
 
2.3%
Other values (68) 419
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 563
58.6%
Other Punctuation 201
 
20.9%
Space Separator 143
 
14.9%
Open Punctuation 22
 
2.3%
Close Punctuation 22
 
2.3%
Uppercase Letter 5
 
0.5%
Dash Punctuation 3
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 42
 
7.5%
가 36
 
6.4%
동 27
 
4.8%
서 25
 
4.4%
호 23
 
4.1%
지 22
 
3.9%
울 22
 
3.9%
구 22
 
3.9%
천 22
 
3.9%
특 22
 
3.9%
Other values (58) 300
53.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
S 1
 
20.0%
J 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
* 167
83.1%
, 34
 
16.9%
Space Separator
ValueCountFrequency (%)
143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
58.6%
Common 391
40.7%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 42
 
7.5%
가 36
 
6.4%
동 27
 
4.8%
서 25
 
4.4%
호 23
 
4.1%
지 22
 
3.9%
울 22
 
3.9%
구 22
 
3.9%
천 22
 
3.9%
특 22
 
3.9%
Other values (58) 300
53.3%
Common
ValueCountFrequency (%)
* 167
42.7%
143
36.6%
, 34
 
8.7%
( 22
 
5.6%
) 22
 
5.6%
- 3
 
0.8%
Latin
ValueCountFrequency (%)
B 3
50.0%
b 1
 
16.7%
S 1
 
16.7%
J 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 563
58.6%
ASCII 397
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 167
42.1%
143
36.0%
, 34
 
8.6%
( 22
 
5.5%
) 22
 
5.5%
B 3
 
0.8%
- 3
 
0.8%
b 1
 
0.3%
S 1
 
0.3%
J 1
 
0.3%
Hangul
ValueCountFrequency (%)
산 42
 
7.5%
가 36
 
6.4%
동 27
 
4.8%
서 25
 
4.4%
호 23
 
4.1%
지 22
 
3.9%
울 22
 
3.9%
구 22
 
3.9%
천 22
 
3.9%
특 22
 
3.9%
Other values (58) 300
53.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing3
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean39124.789
Minimum8501
Maximum153802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T03:13:42.096289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8501
5-th percentile8503.7
Q18508.5
median8588
Q38594
95-th percentile153802
Maximum153802
Range145301
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation60838.095
Coefficient of variation (CV)1.5549757
Kurtosis0.41911544
Mean39124.789
Median Absolute Deviation (MAD)78
Skewness1.5448302
Sum743371
Variance3.7012739 × 109
MonotonicityNot monotonic
2024-05-11T03:13:42.622594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
153802 2
 
9.1%
8504 2
 
9.1%
8510 2
 
9.1%
8594 2
 
9.1%
153782 1
 
4.5%
153794 1
 
4.5%
8584 1
 
4.5%
8590 1
 
4.5%
8588 1
 
4.5%
8501 1
 
4.5%
Other values (5) 5
22.7%
(Missing) 3
13.6%
ValueCountFrequency (%)
8501 1
4.5%
8504 2
9.1%
8505 1
4.5%
8507 1
4.5%
8510 2
9.1%
8517 1
4.5%
8584 1
4.5%
8588 1
4.5%
8590 1
4.5%
8591 1
4.5%
ValueCountFrequency (%)
153802 2
9.1%
153794 1
4.5%
153782 1
4.5%
8594 2
9.1%
8592 1
4.5%
8591 1
4.5%
8590 1
4.5%
8588 1
4.5%
8584 1
4.5%
8517 1
4.5%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T03:13:43.336816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length10.045455
Min length5

Characters and Unicode

Total characters221
Distinct characters76
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row(주)글로벌미디어테크
2nd row씨네꼬레아픽처스
3rd row(주)빅아이
4th row㈜액티버스엔터테인먼트
5th row에이원엔터테인먼트
ValueCountFrequency (%)
주식회사 7
22.6%
주)글로벌미디어테크 1
 
3.2%
주)픽스트랜드 1
 
3.2%
주)무비웨이 1
 
3.2%
주)영화사그램 1
 
3.2%
스퀘어엠 1
 
3.2%
주)스마트시네마코리아 1
 
3.2%
에이케이엔터테인먼트㈜ 1
 
3.2%
리페이 1
 
3.2%
크리에이티브 1
 
3.2%
Other values (15) 15
48.4%
2024-05-11T03:13:44.486193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 17
 
7.7%
이 15
 
6.8%
스 10
 
4.5%
( 10
 
4.5%
) 10
 
4.5%
9
 
4.1%
사 8
 
3.6%
트 8
 
3.6%
회 7
 
3.2%
에 7
 
3.2%
Other values (66) 120
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
85.5%
Open Punctuation 10
 
4.5%
Close Punctuation 10
 
4.5%
Space Separator 9
 
4.1%
Other Symbol 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
9.0%
이 15
 
7.9%
스 10
 
5.3%
사 8
 
4.2%
트 8
 
4.2%
회 7
 
3.7%
에 7
 
3.7%
식 7
 
3.7%
리 5
 
2.6%
테 5
 
2.6%
Other values (62) 100
52.9%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
86.9%
Common 29
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 17
 
8.9%
이 15
 
7.8%
스 10
 
5.2%
사 8
 
4.2%
트 8
 
4.2%
회 7
 
3.6%
에 7
 
3.6%
식 7
 
3.6%
리 5
 
2.6%
테 5
 
2.6%
Other values (63) 103
53.6%
Common
ValueCountFrequency (%)
( 10
34.5%
) 10
34.5%
9
31.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
85.5%
ASCII 29
 
13.1%
None 3
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 17
 
9.0%
이 15
 
7.9%
스 10
 
5.3%
사 8
 
4.2%
트 8
 
4.2%
회 7
 
3.7%
에 7
 
3.7%
식 7
 
3.7%
리 5
 
2.6%
테 5
 
2.6%
Other values (62) 100
52.9%
ASCII
ValueCountFrequency (%)
( 10
34.5%
) 10
34.5%
9
31.0%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2011-09-29 11:25:23
Maximum2023-07-12 11:04:12
2024-05-11T03:13:44.964945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:13:45.372195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
I
13 
U
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 13
59.1%
U 9
40.9%

Length

2024-05-11T03:13:45.810396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:46.175916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 13
59.1%
u 9
40.9%

데이터갱신일자
Date

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-06 23:04:00
2024-05-11T03:13:46.511033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:13:46.876765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189643.37
Minimum189055.14
Maximum190694.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T03:13:47.208062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189055.14
5-th percentile189068.12
Q1189417.68
median189599.07
Q3189871.56
95-th percentile190174.7
Maximum190694.88
Range1639.742
Interquartile range (IQR)453.87686

Descriptive statistics

Standard deviation372.39319
Coefficient of variation (CV)0.0019636499
Kurtosis1.8213233
Mean189643.37
Median Absolute Deviation (MAD)211.69914
Skewness0.9038803
Sum4172154.2
Variance138676.69
MonotonicityNot monotonic
2024-05-11T03:13:47.551055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
189417.678263584 4
18.2%
189055.138252216 2
 
9.1%
189575.815287955 1
 
4.5%
189978.050925581 1
 
4.5%
190185.054136417 1
 
4.5%
189622.332386295 1
 
4.5%
189881.714656576 1
 
4.5%
189538.020935968 1
 
4.5%
189325.86426015 1
 
4.5%
189748.024164036 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
189055.138252216 2
9.1%
189314.711435401 1
 
4.5%
189325.86426015 1
 
4.5%
189417.678263584 4
18.2%
189472.091898625 1
 
4.5%
189538.020935968 1
 
4.5%
189575.815287955 1
 
4.5%
189622.332386295 1
 
4.5%
189662.959175776 1
 
4.5%
189722.178532426 1
 
4.5%
ValueCountFrequency (%)
190694.880295092 1
4.5%
190185.054136417 1
4.5%
189978.050925581 1
4.5%
189920.528610917 1
4.5%
189889.938752675 1
4.5%
189881.714656576 1
4.5%
189841.076534283 1
4.5%
189748.024164036 1
4.5%
189722.178532426 1
4.5%
189662.959175776 1
4.5%

좌표정보(Y)
Real number (ℝ)

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441430.2
Minimum440363.95
Maximum442585.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T03:13:47.892212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440363.95
5-th percentile440526.23
Q1441074.71
median441362.06
Q3441948.99
95-th percentile442172.68
Maximum442585.93
Range2221.9788
Interquartile range (IQR)874.2804

Descriptive statistics

Standard deviation578.94573
Coefficient of variation (CV)0.0013115227
Kurtosis-0.47108633
Mean441430.2
Median Absolute Deviation (MAD)455.45991
Skewness-0.018961804
Sum9711464.5
Variance335178.15
MonotonicityNot monotonic
2024-05-11T03:13:48.271408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
441342.660096623 4
18.2%
441958.334400683 2
 
9.1%
441503.181731081 1
 
4.5%
440363.954453659 1
 
4.5%
441381.452926959 1
 
4.5%
441057.177316052 1
 
4.5%
441010.052948731 1
 
4.5%
441982.427934953 1
 
4.5%
441551.478093955 1
 
4.5%
442174.424111843 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
440363.954453659 1
 
4.5%
440521.85524888 1
 
4.5%
440609.342128829 1
 
4.5%
440764.426277932 1
 
4.5%
441010.052948731 1
 
4.5%
441057.177316052 1
 
4.5%
441127.322443807 1
 
4.5%
441342.660096623 4
18.2%
441381.452926959 1
 
4.5%
441483.675018356 1
 
4.5%
ValueCountFrequency (%)
442585.933234852 1
4.5%
442174.424111843 1
4.5%
442139.514492212 1
4.5%
441982.427934953 1
4.5%
441958.334400683 2
9.1%
441920.972770099 1
4.5%
441551.478093955 1
4.5%
441503.181731081 1
4.5%
441483.675018356 1
4.5%
441381.452926959 1
4.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
영화수입업
19 
<NA>
3 

Length

Max length5
Median length5
Mean length4.8636364
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화수입업 19
86.4%
<NA> 3
 
13.6%

Length

2024-05-11T03:13:48.673961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:49.017990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 19
86.4%
na 3
 
13.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T03:13:49.353006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:49.692943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T03:13:50.123482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:50.390525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T03:13:50.698872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:51.019759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T03:13:51.387712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:51.732915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T03:13:52.099752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:52.581968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T03:13:53.608894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:54.158410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T03:13:54.642089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:54.989593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T03:13:55.443195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:55.996495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
0 2
 
9.1%

Length

2024-05-11T03:13:56.351171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:13:56.672598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing3
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean20130558
Minimum20030917
Maximum20191220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T03:13:57.047574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030917
5-th percentile20057291
Q120080764
median20150616
Q320170422
95-th percentile20190594
Maximum20191220
Range160303
Interquartile range (IQR)89658

Descriptive statistics

Standard deviation51505.789
Coefficient of variation (CV)0.0025585872
Kurtosis-1.2390217
Mean20130558
Median Absolute Deviation (MAD)29901
Skewness-0.52583941
Sum3.824806 × 108
Variance2.6528463 × 109
MonotonicityNot monotonic
2024-05-11T03:13:57.686034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20150616 2
 
9.1%
20130830 1
 
4.5%
20150422 1
 
4.5%
20170106 1
 
4.5%
20190524 1
 
4.5%
20191220 1
 
4.5%
20060221 1
 
4.5%
20180517 1
 
4.5%
20180302 1
 
4.5%
20090610 1
 
4.5%
Other values (8) 8
36.4%
(Missing) 3
 
13.6%
ValueCountFrequency (%)
20030917 1
4.5%
20060221 1
4.5%
20070402 1
4.5%
20070418 1
4.5%
20080310 1
4.5%
20081219 1
4.5%
20090610 1
4.5%
20130830 1
4.5%
20150422 1
4.5%
20150616 2
9.1%
ValueCountFrequency (%)
20191220 1
4.5%
20190524 1
4.5%
20180517 1
4.5%
20180302 1
4.5%
20170515 1
4.5%
20170330 1
4.5%
20170106 1
4.5%
20160510 1
4.5%
20150616 2
9.1%
20150422 1
4.5%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF521102200900000120090610<NA>3폐업3폐업20151029<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-*번지 에스케이트윈테크타워 B동 ***호서울특별시 금천구 가산디지털*로 ***, B동 *층 ***호 (가산동, 에스케이트윈테크타워)153802(주)글로벌미디어테크2015-10-30 14:33:50I2018-08-31 23:59:59.0<NA>189575.815288441503.181731영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090610<NA>
13170000CDFF521102201100000120030917<NA>3폐업3폐업20211228<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 에이스하이엔드*차 ****호서울특별시 금천구 가산디지털*로 ***, ****호 (가산동,에이스하이엔드*차)<NA>씨네꼬레아픽처스2021-12-28 18:01:17U2021-12-31 02:40:00.0<NA>189314.711435442585.933235영화수입업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20030917<NA>
23170000CDFF521102201100000320080310<NA>1영업/정상13영업중<NA><NA><NA><NA>02-576-6604<NA><NA>서울특별시 금천구 가산동 ***-**번지 에이스하이엔드타워*차 ****호서울특별시 금천구 가산디지털*로 **, ****호 (가산동,에이스하이엔드타워*차)<NA>(주)빅아이2013-10-21 09:50:53I2018-08-31 23:59:59.0<NA>189417.678264441342.660097영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080310<NA>
33170000CDFF521102201100000420070418<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3442-5393<NA><NA>서울특별시 금천구 가산동 **-**번지 SJ테크노빌 ****호호서울특별시 금천구 벚꽃로 ***, ****호호 (가산동,SJ테크노빌)<NA>㈜액티버스엔터테인먼트2011-09-29 11:25:23I2018-08-31 23:59:59.0<NA>189722.178532441920.97277영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070418<NA>
43170000CDFF521102201200000120070402<NA>3폐업3폐업20150511<NA><NA><NA>3472-3318<NA><NA>서울특별시 금천구 가산동 ***-**번지 에이스하이엔드 ****호서울특별시 금천구 가산디지털*로 **, ****호 (가산동, 에이스하이엔드*차)153802에이원엔터테인먼트2015-05-12 16:55:13I2018-08-31 23:59:59.0<NA>189417.678264441342.660097영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070402<NA>
53170000CDFF521102201400000220081219<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7602-8955<NA><NA>서울특별시 금천구 가산동 ***-**번지 남성프라자 ****호서울특별시 금천구 디지털로 ***, **층 (가산동, 남성프라자)153782㈜유이케이2014-11-13 11:26:47I2018-08-31 23:59:59.0<NA>189472.091899441483.675018영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20081219<NA>
63170000CDFF521102201500000220150616<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 가산디지털*로 **, ****호 (가산동, 에이스하이엔드타워*차)153794주식회사 대진애니메이션2015-06-16 11:36:46I2018-08-31 23:59:59.0<NA>189417.678264441342.660097영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150616<NA>
73170000CDFF521102201500000320150616<NA>3폐업3폐업20171122<NA><NA><NA>070-4906-9281<NA><NA>서울특별시 금천구 독산동 ***-*번지서울특별시 금천구 두산로 **-*, 비동 ***호 (독산동, 현대지식산업센터)8584주식회사 쇼미미디어앤트레이딩2017-11-22 14:50:25I2018-08-31 23:59:59.0<NA>190694.880295440764.426278영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150616<NA>
83170000CDFF521102201600000120160510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 대성디폴리스지식산업센터서울특별시 금천구 서부샛길 ***, 대성디폴리스지식산업센터 B동 ****호 (가산동)8504주식회사 플라이어2021-08-10 16:44:59U2021-08-12 02:40:00.0<NA>189055.138252441958.334401영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160510<NA>
93170000CDFF521102201700000120170330<NA>1영업/정상13영업중<NA><NA><NA><NA>02-790-8668<NA><NA>서울특별시 금천구 가산동 **-*번지 대륭포스트타워*차 ***호서울특별시 금천구 벚꽃로 ***, ***호 (가산동, 대륭포스트타워*차)8510(주)에스에스애니멘트2017-03-30 14:08:58I2018-08-31 23:59:59.0<NA>189662.959176442139.514492영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170330<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
123170000CDFF521102201800000120180302<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4667-3601<NA><NA>서울특별시 금천구 가산동 ***-**번지 에이스 하이엔드타워* ****호서울특별시 금천구 가산디지털*로 **, 에이스 하이엔드타워* ****호 (가산동)8588주식회사 다나크리에이티브2018-03-02 13:48:24I2018-08-31 23:59:59.0<NA>189417.678264441342.660097영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20180302<NA>
133170000CDFF521102201800000220180517<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***번지 대륭테크노타운 **차 ****호서울특별시 금천구 가산디지털*로 *, 대륭테크노타운 **차 ****,****호 (가산동)8594(주)도움이티에스2019-02-18 11:10:12U2019-02-20 02:40:00.0<NA>189920.528611440521.855249영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20180517<NA>
143170000CDFF521102201800000320150604<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 케이씨씨 웰츠밸리서울특별시 금천구 가산디지털*로 ***, 케이씨씨 웰츠밸리 ***호 (가산동)8501(주)쏘울 크리에이티브2022-04-27 15:11:55U2021-12-03 21:00:00.0<NA>189978.050926440363.954454<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153170000CDFF52110220180000052018-12-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 **-** 스타밸리서울특별시 금천구 디지털로*길 **, 스타밸리 ****-**호 (가산동)8510주식회사 리페이2023-07-12 11:04:12U2022-12-06 23:04:00.0<NA>189748.024164442174.424112<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163170000CDFF521102201900000120060221<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-*번지 에이스가산타워 ***호서울특별시 금천구 디지털로 ***, 에이스가산타워 ***호 (가산동)8505에이케이엔터테인먼트㈜2019-05-01 18:00:19I2019-05-02 02:20:36.0<NA>189325.86426441551.478094영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060221<NA>
173170000CDFF521102201900000220191220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**번지 우림라이온스밸리 비동 ****호서울특별시 금천구 가산디지털*로 ***, 우림라이온스밸리 비동 ****호 (가산동)8507(주)스마트시네마코리아2019-12-20 16:51:52I2019-12-22 00:23:25.0<NA>189538.020936441982.427935영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20191220<NA>
183170000CDFF521102202000000120190524<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 에이스 한솔타워 지식산업센터서울특별시 금천구 가산디지털*로 **, 에이스 한솔타워 지식산업센터 ***호 (가산동)8591주식회사 스퀘어엠2020-08-12 16:21:05U2020-08-14 02:40:00.0<NA>189881.714657441010.052949영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20190524<NA>
193170000CDFF521102202100000120170106<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 대성디폴리스지식산업센터서울특별시 금천구 서부샛길 ***, 대성디폴리스지식산업센터 B동 ****-*호 (가산동)8504(주)영화사그램2021-03-16 09:06:49I2021-03-17 00:22:59.0<NA>189055.138252441958.334401영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170106<NA>
203170000CDFF521102202200000120150422<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-*서울특별시 금천구 가산디지털*로 **, 지하*층 ***호 (가산동)8592(주)무비웨이2022-03-04 10:57:15U2022-03-06 02:40:00.0<NA>189622.332386441057.177316영화수입업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20150422<NA>
213170000CDFF52110220220000022022-10-13<NA>5제외/삭제/전출15전출2023-03-29<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 가산테라타워 ****호서울특별시 금천구 디지털로**길 **, 가산테라타워 ****호 (가산동)8517주식회사 레드아이스엔터테인먼트2023-03-29 13:34:17U2022-12-02 21:01:00.0<NA>190185.054136441381.452927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>