Overview

Dataset statistics

Number of variables56
Number of observations128
Missing cells3566
Missing cells (%)49.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.4 KiB
Average record size in memory491.0 B

Variable types

Categorical17
Text6
DateTime4
Unsupported26
Numeric3

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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17723/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (93.4%)Imbalance
통로너비 is highly imbalanced (72.7%)Imbalance
조명시설조도 is highly imbalanced (72.7%)Imbalance
노래방실수 is highly imbalanced (72.7%)Imbalance
청소년실수 is highly imbalanced (72.7%)Imbalance
총게임기수 is highly imbalanced (72.7%)Imbalance
인허가취소일자 has 128 (100.0%) missing valuesMissing
폐업일자 has 90 (70.3%) missing valuesMissing
휴업시작일자 has 128 (100.0%) missing valuesMissing
휴업종료일자 has 128 (100.0%) missing valuesMissing
재개업일자 has 128 (100.0%) missing valuesMissing
전화번호 has 85 (66.4%) missing valuesMissing
소재지면적 has 128 (100.0%) missing valuesMissing
도로명우편번호 has 28 (21.9%) missing valuesMissing
업태구분명 has 128 (100.0%) missing valuesMissing
문화사업자구분명 has 128 (100.0%) missing valuesMissing
주변환경명 has 128 (100.0%) missing valuesMissing
제작취급품목내용 has 128 (100.0%) missing valuesMissing
건물용도명 has 128 (100.0%) missing valuesMissing
비상계단여부 has 128 (100.0%) missing valuesMissing
비상구여부 has 128 (100.0%) missing valuesMissing
자동환기여부 has 128 (100.0%) missing valuesMissing
청소년실여부 has 128 (100.0%) missing valuesMissing
특수조명여부 has 128 (100.0%) missing valuesMissing
방음시설여부 has 128 (100.0%) missing valuesMissing
비디오재생기명 has 128 (100.0%) missing valuesMissing
조명시설유무 has 128 (100.0%) missing valuesMissing
음향시설여부 has 128 (100.0%) missing valuesMissing
편의시설여부 has 128 (100.0%) missing valuesMissing
소방시설여부 has 128 (100.0%) missing valuesMissing
기존게임업외업종명 has 128 (100.0%) missing valuesMissing
제공게임물명 has 128 (100.0%) missing valuesMissing
공연장형태구분명 has 128 (100.0%) missing valuesMissing
품목명 has 128 (100.0%) missing valuesMissing
최초등록시점 has 35 (27.3%) missing valuesMissing
지역구분명 has 128 (100.0%) missing valuesMissing
관리번호 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 started2024-05-11 08:10:04.202824
Analysis finished2024-05-11 08:10:06.004984
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3210000
128 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 128
100.0%

Length

2024-05-11T08:10:06.175984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:06.444683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 128
100.0%

관리번호
Text

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T08:10:06.994969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2560
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

Unique128 ?
Unique (%)100.0%

Sample

1st rowCDFF5211022006000001
2nd rowCDFF5211022007000001
3rd rowCDFF5211022007000002
4th rowCDFF5211022007000003
5th rowCDFF5211022007000005
ValueCountFrequency (%)
cdff5211022006000001 1
 
0.8%
cdff5211022007000001 1
 
0.8%
cdff5211022020000003 1
 
0.8%
cdff5211022020000002 1
 
0.8%
cdff5211022020000001 1
 
0.8%
cdff5211022019000011 1
 
0.8%
cdff5211022019000008 1
 
0.8%
cdff5211022019000006 1
 
0.8%
cdff5211022019000005 1
 
0.8%
cdff5211022019000004 1
 
0.8%
Other values (118) 118
92.2%
2024-05-11T08:10:08.233958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 910
35.5%
2 446
17.4%
1 391
15.3%
F 256
 
10.0%
5 148
 
5.8%
C 128
 
5.0%
D 128
 
5.0%
3 37
 
1.4%
8 28
 
1.1%
7 25
 
1.0%
Other values (3) 63
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2048
80.0%
Uppercase Letter 512
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 910
44.4%
2 446
21.8%
1 391
19.1%
5 148
 
7.2%
3 37
 
1.8%
8 28
 
1.4%
7 25
 
1.2%
4 22
 
1.1%
6 21
 
1.0%
9 20
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 256
50.0%
C 128
25.0%
D 128
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2048
80.0%
Latin 512
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 910
44.4%
2 446
21.8%
1 391
19.1%
5 148
 
7.2%
3 37
 
1.8%
8 28
 
1.4%
7 25
 
1.2%
4 22
 
1.1%
6 21
 
1.0%
9 20
 
1.0%
Latin
ValueCountFrequency (%)
F 256
50.0%
C 128
25.0%
D 128
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 910
35.5%
2 446
17.4%
1 391
15.3%
F 256
 
10.0%
5 148
 
5.8%
C 128
 
5.0%
D 128
 
5.0%
3 37
 
1.4%
8 28
 
1.1%
7 25
 
1.0%
Other values (3) 63
 
2.5%

인허가일자
Date

Distinct120
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2006-11-22 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T08:10:08.800063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:10:09.367192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
89 
3
28 
5
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 89
69.5%
3 28
 
21.9%
5 11
 
8.6%

Length

2024-05-11T08:10:09.847698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:10.392929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 89
69.5%
3 28
 
21.9%
5 11
 
8.6%

영업상태명
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
89 
폐업
28 
제외/삭제/전출
11 

Length

Max length8
Median length5
Mean length4.6015625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 89
69.5%
폐업 28
 
21.9%
제외/삭제/전출 11
 
8.6%

Length

2024-05-11T08:10:10.884742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:11.288239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 89
69.5%
폐업 28
 
21.9%
제외/삭제/전출 11
 
8.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
89 
3
28 
15
11 

Length

Max length2
Median length2
Mean length1.78125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 89
69.5%
3 28
 
21.9%
15 11
 
8.6%

Length

2024-05-11T08:10:11.872311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:12.332892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 89
69.5%
3 28
 
21.9%
15 11
 
8.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
89 
폐업
28 
전출
11 

Length

Max length3
Median length3
Mean length2.6953125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 89
69.5%
폐업 28
 
21.9%
전출 11
 
8.6%

Length

2024-05-11T08:10:12.847279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:13.223664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 89
69.5%
폐업 28
 
21.9%
전출 11
 
8.6%

폐업일자
Date

MISSING 

Distinct35
Distinct (%)92.1%
Missing90
Missing (%)70.3%
Memory size1.1 KiB
Minimum2010-04-09 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T08:10:13.812830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:10:14.355226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing85
Missing (%)66.4%
Memory size1.1 KiB
2024-05-11T08:10:15.252878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11
Min length8

Characters and Unicode

Total characters473
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

Unique41 ?
Unique (%)95.3%

Sample

1st row591-0093
2nd row02-586-2822
3rd row02-3481-1789
4th row070-3122-4683
5th row2106-7570
ValueCountFrequency (%)
02-584-2430 2
 
4.7%
025842430 1
 
2.3%
070-4400-2198 1
 
2.3%
1644-2525 1
 
2.3%
02-582-8995 1
 
2.3%
02-537-7105 1
 
2.3%
025227407 1
 
2.3%
02-553-5881 1
 
2.3%
02-6405-5053 1
 
2.3%
025221837 1
 
2.3%
Other values (32) 32
74.4%
2024-05-11T08:10:16.461521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 71
15.0%
0 69
14.6%
2 60
12.7%
5 54
11.4%
3 39
8.2%
7 38
8.0%
8 36
7.6%
4 32
6.8%
1 32
6.8%
9 24
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 402
85.0%
Dash Punctuation 71
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
17.2%
2 60
14.9%
5 54
13.4%
3 39
9.7%
7 38
9.5%
8 36
9.0%
4 32
8.0%
1 32
8.0%
9 24
 
6.0%
6 18
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 71
15.0%
0 69
14.6%
2 60
12.7%
5 54
11.4%
3 39
8.2%
7 38
8.0%
8 36
7.6%
4 32
6.8%
1 32
6.8%
9 24
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 71
15.0%
0 69
14.6%
2 60
12.7%
5 54
11.4%
3 39
8.2%
7 38
8.0%
8 36
7.6%
4 32
6.8%
1 32
6.8%
9 24
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
127 
137030
 
1

Length

Max length6
Median length4
Mean length4.015625
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
99.2%
137030 1
 
0.8%

Length

2024-05-11T08:10:17.013652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:17.478736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
99.2%
137030 1
 
0.8%

지번주소
Text

Distinct97
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T08:10:18.184742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length24.328125
Min length13

Characters and Unicode

Total characters3114
Distinct characters149
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

Unique80 ?
Unique (%)62.5%

Sample

1st row서울특별시 서초구 잠원동 **-*번지 푸른빌딩
2nd row서울특별시 서초구 서초동 ****-**번지 정진빌딩 *층
3rd row서울특별시 서초구 반포동 ***-***번지
4th row서울특별시 서초구 서초동 ****-*번지 ***
5th row서울특별시 서초구 서초동 ****-*번지
ValueCountFrequency (%)
서울특별시 128
21.6%
서초구 128
21.6%
번지 59
9.9%
서초동 52
8.8%
49
 
8.3%
잠원동 35
 
5.9%
양재동 14
 
2.4%
방배동 14
 
2.4%
반포동 12
 
2.0%
층 12
 
2.0%
Other values (71) 90
15.2%
2024-05-11T08:10:19.516912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
557
17.9%
* 528
17.0%
서 315
10.1%
초 186
 
6.0%
동 131
 
4.2%
특 128
 
4.1%
별 128
 
4.1%
시 128
 
4.1%
구 128
 
4.1%
울 128
 
4.1%
Other values (139) 757
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1904
61.1%
Space Separator 557
 
17.9%
Other Punctuation 528
 
17.0%
Dash Punctuation 102
 
3.3%
Uppercase Letter 16
 
0.5%
Decimal Number 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 315
16.5%
초 186
 
9.8%
동 131
 
6.9%
특 128
 
6.7%
별 128
 
6.7%
시 128
 
6.7%
구 128
 
6.7%
울 128
 
6.7%
지 61
 
3.2%
번 59
 
3.1%
Other values (122) 512
26.9%
Uppercase Letter
ValueCountFrequency (%)
G 5
31.2%
B 3
18.8%
L 2
 
12.5%
N 1
 
6.2%
K 1
 
6.2%
I 1
 
6.2%
M 1
 
6.2%
J 1
 
6.2%
C 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
6 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
557
100.0%
Other Punctuation
ValueCountFrequency (%)
* 528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1904
61.1%
Common 1194
38.3%
Latin 16
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 315
16.5%
초 186
 
9.8%
동 131
 
6.9%
특 128
 
6.7%
별 128
 
6.7%
시 128
 
6.7%
구 128
 
6.7%
울 128
 
6.7%
지 61
 
3.2%
번 59
 
3.1%
Other values (122) 512
26.9%
Latin
ValueCountFrequency (%)
G 5
31.2%
B 3
18.8%
L 2
 
12.5%
N 1
 
6.2%
K 1
 
6.2%
I 1
 
6.2%
M 1
 
6.2%
J 1
 
6.2%
C 1
 
6.2%
Common
ValueCountFrequency (%)
557
46.6%
* 528
44.2%
- 102
 
8.5%
) 2
 
0.2%
( 2
 
0.2%
8 1
 
0.1%
6 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1904
61.1%
ASCII 1210
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
557
46.0%
* 528
43.6%
- 102
 
8.4%
G 5
 
0.4%
B 3
 
0.2%
) 2
 
0.2%
( 2
 
0.2%
L 2
 
0.2%
N 1
 
0.1%
K 1
 
0.1%
Other values (7) 7
 
0.6%
Hangul
ValueCountFrequency (%)
서 315
16.5%
초 186
 
9.8%
동 131
 
6.9%
특 128
 
6.7%
별 128
 
6.7%
시 128
 
6.7%
구 128
 
6.7%
울 128
 
6.7%
지 61
 
3.2%
번 59
 
3.1%
Other values (122) 512
26.9%

도로명주소
Text

Distinct121
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T08:10:20.128304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length35.648438
Min length24

Characters and Unicode

Total characters4563
Distinct characters186
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)89.8%

Sample

1st row서울특별시 서초구 강남대로 *** (잠원동,푸른빌딩)
2nd row서울특별시 서초구 강남대로**길 **-** (서초동,정진빌딩 *층)
3rd row서울특별시 서초구 사평대로*길 *-* (반포동)
4th row서울특별시 서초구 서초대로**길 ** (서초동,***)
5th row서울특별시 서초구 서초대로**길 ** (서초동)
ValueCountFrequency (%)
서울특별시 128
15.1%
서초구 128
15.1%
127
14.9%
호 60
 
7.1%
층 56
 
6.6%
서초동 43
 
5.1%
잠원동 29
 
3.4%
양재동 14
 
1.6%
방배동 11
 
1.3%
강남대로**길 11
 
1.3%
Other values (143) 243
28.6%
2024-05-11T08:10:21.242468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 767
16.8%
747
16.4%
서 344
 
7.5%
초 207
 
4.5%
, 147
 
3.2%
동 143
 
3.1%
) 130
 
2.8%
( 130
 
2.8%
시 129
 
2.8%
구 128
 
2.8%
Other values (176) 1691
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2596
56.9%
Other Punctuation 914
 
20.0%
Space Separator 747
 
16.4%
Close Punctuation 130
 
2.8%
Open Punctuation 130
 
2.8%
Dash Punctuation 22
 
0.5%
Uppercase Letter 19
 
0.4%
Decimal Number 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 344
 
13.3%
초 207
 
8.0%
동 143
 
5.5%
시 129
 
5.0%
구 128
 
4.9%
특 128
 
4.9%
별 128
 
4.9%
울 128
 
4.9%
로 126
 
4.9%
길 87
 
3.4%
Other values (156) 1048
40.4%
Uppercase Letter
ValueCountFrequency (%)
G 5
26.3%
B 4
21.1%
A 2
 
10.5%
L 2
 
10.5%
K 1
 
5.3%
N 1
 
5.3%
I 1
 
5.3%
M 1
 
5.3%
J 1
 
5.3%
C 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
7 1
25.0%
4 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 767
83.9%
, 147
 
16.1%
Space Separator
ValueCountFrequency (%)
747
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2596
56.9%
Common 1947
42.7%
Latin 20
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 344
 
13.3%
초 207
 
8.0%
동 143
 
5.5%
시 129
 
5.0%
구 128
 
4.9%
특 128
 
4.9%
별 128
 
4.9%
울 128
 
4.9%
로 126
 
4.9%
길 87
 
3.4%
Other values (156) 1048
40.4%
Latin
ValueCountFrequency (%)
G 5
25.0%
B 4
20.0%
A 2
 
10.0%
L 2
 
10.0%
K 1
 
5.0%
b 1
 
5.0%
N 1
 
5.0%
I 1
 
5.0%
M 1
 
5.0%
J 1
 
5.0%
Common
ValueCountFrequency (%)
* 767
39.4%
747
38.4%
, 147
 
7.6%
) 130
 
6.7%
( 130
 
6.7%
- 22
 
1.1%
2 2
 
0.1%
7 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2596
56.9%
ASCII 1967
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 767
39.0%
747
38.0%
, 147
 
7.5%
) 130
 
6.6%
( 130
 
6.6%
- 22
 
1.1%
G 5
 
0.3%
B 4
 
0.2%
A 2
 
0.1%
2 2
 
0.1%
Other values (10) 11
 
0.6%
Hangul
ValueCountFrequency (%)
서 344
 
13.3%
초 207
 
8.0%
동 143
 
5.5%
시 129
 
5.0%
구 128
 
4.9%
특 128
 
4.9%
별 128
 
4.9%
울 128
 
4.9%
로 126
 
4.9%
길 87
 
3.4%
Other values (156) 1048
40.4%

도로명우편번호
Text

MISSING 

Distinct69
Distinct (%)69.0%
Missing28
Missing (%)21.9%
Memory size1.1 KiB
2024-05-11T08:10:21.776459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3
Min length5

Characters and Unicode

Total characters530
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

Unique52 ?
Unique (%)52.0%

Sample

1st row137870
2nd row06640
3rd row137891
4th row137-905
5th row137873
ValueCountFrequency (%)
06524 8
 
8.0%
06627 4
 
4.0%
137030 4
 
4.0%
06601 3
 
3.0%
06527 3
 
3.0%
06775 3
 
3.0%
06651 3
 
3.0%
06733 2
 
2.0%
06525 2
 
2.0%
06619 2
 
2.0%
Other values (59) 66
66.0%
2024-05-11T08:10:22.926053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 117
22.1%
0 105
19.8%
7 74
14.0%
3 53
10.0%
1 50
9.4%
5 44
 
8.3%
2 32
 
6.0%
4 22
 
4.2%
8 17
 
3.2%
9 12
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 526
99.2%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 117
22.2%
0 105
20.0%
7 74
14.1%
3 53
10.1%
1 50
9.5%
5 44
 
8.4%
2 32
 
6.1%
4 22
 
4.2%
8 17
 
3.2%
9 12
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 530
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 117
22.1%
0 105
19.8%
7 74
14.0%
3 53
10.0%
1 50
9.4%
5 44
 
8.3%
2 32
 
6.0%
4 22
 
4.2%
8 17
 
3.2%
9 12
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 117
22.1%
0 105
19.8%
7 74
14.0%
3 53
10.0%
1 50
9.4%
5 44
 
8.3%
2 32
 
6.0%
4 22
 
4.2%
8 17
 
3.2%
9 12
 
2.3%

사업장명
Text

Distinct124
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T08:10:23.600342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length14
Mean length9.390625
Min length2

Characters and Unicode

Total characters1202
Distinct characters220
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)93.8%

Sample

1st row㈜케이앤엔터테인먼트
2nd row㈜프렌즈엔터테인먼트
3rd row(주)영화사솔
4th row위드시네마
5th row㈜성원아이컴
ValueCountFrequency (%)
주식회사 32
 
17.4%
주 9
 
4.9%
주)마노엔터테인먼트 2
 
1.1%
브라더미디어 2
 
1.1%
영화특별시에스엠씨 2
 
1.1%
세종커뮤니케이션 2
 
1.1%
영화사 2
 
1.1%
유씨케이플러스 1
 
0.5%
왓챠 1
 
0.5%
자연필름 1
 
0.5%
Other values (130) 130
70.7%
2024-05-11T08:10:24.766279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 97
 
8.1%
( 64
 
5.3%
) 64
 
5.3%
57
 
4.7%
스 48
 
4.0%
사 41
 
3.4%
이 37
 
3.1%
트 36
 
3.0%
회 33
 
2.7%
식 33
 
2.7%
Other values (210) 692
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 978
81.4%
Open Punctuation 64
 
5.3%
Close Punctuation 64
 
5.3%
Space Separator 57
 
4.7%
Other Symbol 15
 
1.2%
Lowercase Letter 14
 
1.2%
Uppercase Letter 6
 
0.5%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 97
 
9.9%
스 48
 
4.9%
사 41
 
4.2%
이 37
 
3.8%
트 36
 
3.7%
회 33
 
3.4%
식 33
 
3.4%
엔 25
 
2.6%
인 24
 
2.5%
터 21
 
2.1%
Other values (190) 583
59.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
14.3%
s 2
14.3%
e 2
14.3%
d 2
14.3%
r 2
14.3%
l 1
7.1%
a 1
7.1%
b 1
7.1%
t 1
7.1%
Uppercase Letter
ValueCountFrequency (%)
L 2
33.3%
C 2
33.3%
B 1
16.7%
E 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 1
25.0%
& 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 993
82.6%
Common 189
 
15.7%
Latin 20
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 97
 
9.8%
스 48
 
4.8%
사 41
 
4.1%
이 37
 
3.7%
트 36
 
3.6%
회 33
 
3.3%
식 33
 
3.3%
엔 25
 
2.5%
인 24
 
2.4%
터 21
 
2.1%
Other values (191) 598
60.2%
Latin
ValueCountFrequency (%)
o 2
10.0%
L 2
10.0%
s 2
10.0%
e 2
10.0%
d 2
10.0%
r 2
10.0%
C 2
10.0%
l 1
 
5.0%
B 1
 
5.0%
a 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
( 64
33.9%
) 64
33.9%
57
30.2%
. 2
 
1.1%
, 1
 
0.5%
& 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 978
81.4%
ASCII 209
 
17.4%
None 15
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 97
 
9.9%
스 48
 
4.9%
사 41
 
4.2%
이 37
 
3.8%
트 36
 
3.7%
회 33
 
3.4%
식 33
 
3.4%
엔 25
 
2.6%
인 24
 
2.5%
터 21
 
2.1%
Other values (190) 583
59.6%
ASCII
ValueCountFrequency (%)
( 64
30.6%
) 64
30.6%
57
27.3%
o 2
 
1.0%
. 2
 
1.0%
L 2
 
1.0%
s 2
 
1.0%
e 2
 
1.0%
d 2
 
1.0%
r 2
 
1.0%
Other values (9) 10
 
4.8%
None
ValueCountFrequency (%)
㈜ 15
100.0%

최종수정일자
Date

Distinct114
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2010-04-28 15:48:13
Maximum2024-04-08 17:12:06
2024-05-11T08:10:25.565755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:10:26.204043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
86 
U
42 

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 86
67.2%
U 42
32.8%

Length

2024-05-11T08:10:26.791024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:27.289415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 86
67.2%
u 42
32.8%

데이터갱신일자
Date

Distinct64
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:00:00
2024-05-11T08:10:27.841361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:10:28.461365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct110
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201454.05
Minimum198363.71
Maximum203909.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T08:10:29.024441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198363.71
5-th percentile199163.24
Q1201012.47
median201507.07
Q3202179.74
95-th percentile203660.89
Maximum203909.11
Range5545.4095
Interquartile range (IQR)1167.2729

Descriptive statistics

Standard deviation1231.381
Coefficient of variation (CV)0.0061124661
Kurtosis0.064171277
Mean201454.05
Median Absolute Deviation (MAD)616.00518
Skewness-0.27429435
Sum25786118
Variance1516299.2
MonotonicityNot monotonic
2024-05-11T08:10:29.663056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201664.358564847 3
 
2.3%
202501.602561199 3
 
2.3%
201386.338220173 3
 
2.3%
202511.405143886 3
 
2.3%
201314.245103965 2
 
1.6%
201541.893869422 2
 
1.6%
201537.649482881 2
 
1.6%
201652.33335549 2
 
1.6%
202152.435828986 2
 
1.6%
201565.957243521 2
 
1.6%
Other values (100) 104
81.2%
ValueCountFrequency (%)
198363.705516537 1
0.8%
198534.748228783 1
0.8%
198702.564835484 1
0.8%
198836.324746887 1
0.8%
198966.83338649 1
0.8%
199142.56931425 1
0.8%
199144.631348824 1
0.8%
199197.79507181 1
0.8%
199215.033287117 1
0.8%
199382.313424592 1
0.8%
ValueCountFrequency (%)
203909.115 1
0.8%
203894.663588295 1
0.8%
203865.709970943 1
0.8%
203848.094015013 1
0.8%
203815.668827003 1
0.8%
203797.168574676 1
0.8%
203678.440399782 1
0.8%
203628.289528936 1
0.8%
203430.590450595 1
0.8%
203307.022567667 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct110
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443679.38
Minimum440693.31
Maximum446206.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T08:10:30.439780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440693.31
5-th percentile441535.87
Q1442571.46
median443442.39
Q3445441.82
95-th percentile446067.58
Maximum446206.35
Range5513.0433
Interquartile range (IQR)2870.3612

Descriptive statistics

Standard deviation1543.881
Coefficient of variation (CV)0.0034797221
Kurtosis-1.0752312
Mean443679.38
Median Absolute Deviation (MAD)967.25466
Skewness0.24190424
Sum56790961
Variance2383568.4
MonotonicityNot monotonic
2024-05-11T08:10:30.877013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445710.120020179 3
 
2.3%
443226.434038556 3
 
2.3%
443689.075119969 3
 
2.3%
442532.881759045 3
 
2.3%
442859.39847353 2
 
1.6%
446065.753966473 2
 
1.6%
446150.216745339 2
 
1.6%
445507.845811866 2
 
1.6%
443826.911881224 2
 
1.6%
446206.354902748 2
 
1.6%
Other values (100) 104
81.2%
ValueCountFrequency (%)
440693.311634096 1
0.8%
440753.993971457 1
0.8%
440963.759050916 1
0.8%
441242.791786723 1
0.8%
441375.098272239 1
0.8%
441500.545 1
0.8%
441531.498072972 1
0.8%
441543.986217707 1
0.8%
441582.73261136 1
0.8%
441596.685240015 1
0.8%
ValueCountFrequency (%)
446206.354902748 2
1.6%
446180.260965954 1
0.8%
446168.909904186 1
0.8%
446150.216745339 2
1.6%
446068.560179388 1
0.8%
446065.753966473 2
1.6%
446059.150617924 1
0.8%
446056.643706707 2
1.6%
446051.521120623 1
0.8%
446046.503277966 1
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영화수입업
93 
<NA>
35 

Length

Max length5
Median length5
Mean length4.7265625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화수입업 93
72.7%
<NA> 35
 
27.3%

Length

2024-05-11T08:10:31.462843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:31.892376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 93
72.7%
na 35
 
27.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

총층수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
107 
0
21 

Length

Max length4
Median length4
Mean length3.5078125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
83.6%
0 21
 
16.4%

Length

2024-05-11T08:10:32.444777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:32.852396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
83.6%
0 21
 
16.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

시설면적
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
107 
0
21 

Length

Max length4
Median length4
Mean length3.5078125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
83.6%
0 21
 
16.4%

Length

2024-05-11T08:10:33.184421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:33.585337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
83.6%
0 21
 
16.4%

지상층수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
107 
0
21 

Length

Max length4
Median length4
Mean length3.5078125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
83.6%
0 21
 
16.4%

Length

2024-05-11T08:10:34.090887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:34.511478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
83.6%
0 21
 
16.4%

지하층수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
107 
0
21 

Length

Max length4
Median length4
Mean length3.5078125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
83.6%
0 21
 
16.4%

Length

2024-05-11T08:10:35.120048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:35.842841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
83.6%
0 21
 
16.4%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
0
 
6

Length

Max length4
Median length4
Mean length3.859375
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> 122
95.3%
0 6
 
4.7%

Length

2024-05-11T08:10:36.439498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:36.847127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
95.3%
0 6
 
4.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
0
 
6

Length

Max length4
Median length4
Mean length3.859375
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> 122
95.3%
0 6
 
4.7%

Length

2024-05-11T08:10:37.407861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:38.016889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
95.3%
0 6
 
4.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
0
 
6

Length

Max length4
Median length4
Mean length3.859375
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> 122
95.3%
0 6
 
4.7%

Length

2024-05-11T08:10:38.612298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:39.186338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
95.3%
0 6
 
4.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
0
 
6

Length

Max length4
Median length4
Mean length3.859375
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> 122
95.3%
0 6
 
4.7%

Length

2024-05-11T08:10:39.661276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:40.125703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
95.3%
0 6
 
4.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
0
 
6

Length

Max length4
Median length4
Mean length3.859375
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> 122
95.3%
0 6
 
4.7%

Length

2024-05-11T08:10:40.466000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:10:40.856453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
95.3%
0 6
 
4.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct87
Distinct (%)93.5%
Missing35
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean20135777
Minimum20061122
Maximum20211207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T08:10:41.212181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061122
5-th percentile20070521
Q120100702
median20130725
Q320180103
95-th percentile20210240
Maximum20211207
Range150085
Interquartile range (IQR)79401

Descriptive statistics

Standard deviation43493.115
Coefficient of variation (CV)0.0021599919
Kurtosis-1.1565687
Mean20135777
Median Absolute Deviation (MAD)39515
Skewness0.13493645
Sum1.8726273 × 109
Variance1.8916511 × 109
MonotonicityNot monotonic
2024-05-11T08:10:41.749881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180723 3
 
2.3%
20070521 2
 
1.6%
20180903 2
 
1.6%
20211126 2
 
1.6%
20130128 2
 
1.6%
20140930 1
 
0.8%
20170512 1
 
0.8%
20091210 1
 
0.8%
20180104 1
 
0.8%
20180103 1
 
0.8%
Other values (77) 77
60.2%
(Missing) 35
27.3%
ValueCountFrequency (%)
20061122 1
0.8%
20070109 1
0.8%
20070110 1
0.8%
20070330 1
0.8%
20070521 2
1.6%
20070605 1
0.8%
20070726 1
0.8%
20071218 1
0.8%
20080122 1
0.8%
20080807 1
0.8%
ValueCountFrequency (%)
20211207 1
0.8%
20211126 2
1.6%
20210625 1
0.8%
20210430 1
0.8%
20210114 1
0.8%
20200521 1
0.8%
20200217 1
0.8%
20200115 1
0.8%
20200106 1
0.8%
20191128 1
0.8%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF521102200600000120061122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-*번지 푸른빌딩서울특별시 서초구 강남대로 *** (잠원동,푸른빌딩)<NA>㈜케이앤엔터테인먼트2010-04-28 15:48:13I2018-08-31 23:59:59.0<NA>201664.358565445710.12002영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061122<NA>
13210000CDFF521102200700000120070109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-**번지 정진빌딩 *층서울특별시 서초구 강남대로**길 **-** (서초동,정진빌딩 *층)<NA>㈜프렌즈엔터테인먼트2010-04-28 15:48:13I2018-08-31 23:59:59.0<NA>202776.276741442691.020088영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070109<NA>
23210000CDFF521102200700000220070110<NA>1영업/정상13영업중<NA><NA><NA><NA>591-0093<NA><NA>서울특별시 서초구 반포동 ***-***번지서울특별시 서초구 사평대로*길 *-* (반포동)<NA>(주)영화사솔2011-08-11 10:22:04I2018-08-31 23:59:59.0<NA>199142.569314443942.104809영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070110<NA>
33210000CDFF521102200700000320070330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*번지 ***서울특별시 서초구 서초대로**길 ** (서초동,***)<NA>위드시네마2010-04-28 15:48:13I2018-08-31 23:59:59.0<NA>202123.769148444374.640777영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070330<NA>
43210000CDFF521102200700000520070521<NA>3폐업3폐업20100409<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*번지서울특별시 서초구 서초대로**길 ** (서초동)<NA>㈜성원아이컴2010-05-31 14:57:12I2018-08-31 23:59:59.0<NA>200736.126321443526.420076영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070521<NA>
53210000CDFF521102200700000620070521<NA>3폐업3폐업20100628<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****번지 반도빌딩 *층서울특별시 서초구 남부순환로***길 ** (서초동,반도빌딩 *층)<NA>㈜크리스천투데이2010-06-29 09:58:53I2018-08-31 23:59:59.0<NA>202734.682314442607.232057영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070521<NA>
63210000CDFF521102200700000720070726<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-**번지 단우빌딩 *층서울특별시 서초구 서초중앙로**길 ** (서초동,단우빌딩 *층)<NA>㈜단우미디어네트웍스2010-04-28 15:48:13I2018-08-31 23:59:59.0<NA>201267.182016443637.954107영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070726<NA>
73210000CDFF521102200700000920071218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-**번지 단우빌딩서울특별시 서초구 방배로 *** (방배동,단우빌딩)<NA>㈜나우콤2010-04-28 15:48:13I2018-08-31 23:59:59.0<NA>199215.033287443038.055993영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20071218<NA>
83210000CDFF521102200800000520080807<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-*번지 고월빌딩 *층서울특별시 서초구 강남대로**길 **-* (잠원동,고월빌딩 *층)<NA>㈜아름다운혜윰2010-04-28 15:48:13I2018-08-31 23:59:59.0<NA>201441.565577445737.586115영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080807<NA>
93210000CDFF521102200800000720081118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*번지 재우빌딩 M*서울특별시 서초구 반포대로**길 ** (서초동,재우빌딩 M*)<NA>㈜도도파크2010-04-28 15:48:13I2018-08-31 23:59:59.0<NA>200973.094834442735.614145영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20081118<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1183210000CDFF52110220230000022018-08-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-* 용진빌딩서울특별시 서초구 동작대로 **, 용진빌딩 *층 ***호 (방배동)06677주식회사 브라더미디어2023-03-09 18:18:01I2022-12-02 23:01:00.0<NA>198363.705517442198.239121<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1193210000CDFF52110220230000032023-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-** 까사노블서울특별시 서초구 남부순환로***라길 **, 비동 ***호 (방배동, 까사노블)06702주식회사 더블유앤비에스2023-04-05 16:05:58I2022-12-04 00:07:00.0<NA>199382.313425441582.732611<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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1213210000CDFF52110220230000052023-07-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-** 제일빌딩서울특별시 서초구 사임당로*길 **, 제일빌딩 *층 ***호 (서초동)06640(주)드림팩트엔터테인먼트2023-07-10 09:42:34I2022-12-06 23:03:00.0<NA>201314.245104442859.398474<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223210000CDFF52110220230000062023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* (주)삼성출판사 사옥서울특별시 서초구 명달로 ** (주)삼성출판사 사옥 *층 (서초동)06668더핑크퐁컴퍼니 주식회사2023-11-24 10:45:24I2022-10-31 22:06:00.0<NA>200313.23433442609.514493<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233210000CDFF52110220230000072018-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-** 백산빌딩서울특별시 서초구 효령로 **, 백산빌딩 *동 *층 *호 (방배동)06697주식회사 뮤직엔닷컴2023-12-08 13:16:47I2022-11-01 23:00:00.0<NA>199144.631349441877.111716<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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1253210000CDFF52110220240000012024-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4400-2198<NA><NA>서울특별시 서초구 서초동 ****-* 현빌딩서울특별시 서초구 서초대로**길 **, 현빌딩 *층 ****호 (서초동)06650주식회사 보라스톤2024-01-26 11:07:53I2023-11-30 22:08:00.0<NA>201122.363486443111.971546<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1263210000CDFF52110220240000022024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-866-8055<NA><NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 강남대로**길 **-*, *층 (서초동)06734주식회사 제이콥홀딩스2024-02-21 14:18:22I2023-12-01 22:03:00.0<NA>202608.279007442531.620416<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1273210000CDFF52110220240000032024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*서울특별시 서초구 서초대로**길 **-**, *,*층 (서초동)06633주식회사 라이브러리컴퍼니2024-04-08 17:12:06I2023-12-03 23:00:00.0<NA>201437.580537443405.974867<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>