Overview

Dataset statistics

Number of variables56
Number of observations38
Missing cells1067
Missing cells (%)50.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.3 KiB
Average record size in memory494.5 B

Variable types

Categorical17
Text5
DateTime4
Unsupported26
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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17639/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (64.0%)Imbalance
영업상태명 is highly imbalanced (64.0%)Imbalance
상세영업상태코드 is highly imbalanced (64.0%)Imbalance
상세영업상태명 is highly imbalanced (64.0%)Imbalance
소재지우편번호 is highly imbalanced (73.8%)Imbalance
총층수 is highly imbalanced (70.3%)Imbalance
시설면적 is highly imbalanced (70.3%)Imbalance
지상층수 is highly imbalanced (70.3%)Imbalance
지하층수 is highly imbalanced (70.3%)Imbalance
통로너비 is highly imbalanced (70.3%)Imbalance
조명시설조도 is highly imbalanced (70.3%)Imbalance
노래방실수 is highly imbalanced (70.3%)Imbalance
청소년실수 is highly imbalanced (70.3%)Imbalance
총게임기수 is highly imbalanced (70.3%)Imbalance
인허가취소일자 has 38 (100.0%) missing valuesMissing
폐업일자 has 35 (92.1%) missing valuesMissing
휴업시작일자 has 38 (100.0%) missing valuesMissing
휴업종료일자 has 38 (100.0%) missing valuesMissing
재개업일자 has 38 (100.0%) missing valuesMissing
전화번호 has 27 (71.1%) missing valuesMissing
소재지면적 has 38 (100.0%) missing valuesMissing
도로명주소 has 1 (2.6%) missing valuesMissing
도로명우편번호 has 8 (21.1%) missing valuesMissing
업태구분명 has 38 (100.0%) missing valuesMissing
문화사업자구분명 has 38 (100.0%) missing valuesMissing
주변환경명 has 38 (100.0%) missing valuesMissing
제작취급품목내용 has 38 (100.0%) missing valuesMissing
건물용도명 has 38 (100.0%) missing valuesMissing
비상계단여부 has 38 (100.0%) missing valuesMissing
비상구여부 has 38 (100.0%) missing valuesMissing
자동환기여부 has 38 (100.0%) missing valuesMissing
청소년실여부 has 38 (100.0%) missing valuesMissing
특수조명여부 has 38 (100.0%) missing valuesMissing
방음시설여부 has 38 (100.0%) missing valuesMissing
비디오재생기명 has 38 (100.0%) missing valuesMissing
조명시설유무 has 38 (100.0%) missing valuesMissing
음향시설여부 has 38 (100.0%) missing valuesMissing
편의시설여부 has 38 (100.0%) missing valuesMissing
소방시설여부 has 38 (100.0%) missing valuesMissing
기존게임업외업종명 has 38 (100.0%) missing valuesMissing
제공게임물명 has 38 (100.0%) missing valuesMissing
공연장형태구분명 has 38 (100.0%) missing valuesMissing
품목명 has 38 (100.0%) missing valuesMissing
최초등록시점 has 8 (21.1%) missing valuesMissing
지역구분명 has 38 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:24:23.224032
Analysis finished2024-04-29 19:24:23.966803
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
3120000
38 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 38
100.0%

Length

2024-04-30T04:24:24.030962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:24.105526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 38
100.0%

관리번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-30T04:24:24.246139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters760
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

Unique38 ?
Unique (%)100.0%

Sample

1st rowCDFF5211032002000001
2nd rowCDFF5211032008000001
3rd rowCDFF5211032009000001
4th rowCDFF5211032009000002
5th rowCDFF5211032010000001
ValueCountFrequency (%)
cdff5211032002000001 1
 
2.6%
cdff5211032020000007 1
 
2.6%
cdff5211032023000002 1
 
2.6%
cdff5211032020000001 1
 
2.6%
cdff5211032020000002 1
 
2.6%
cdff5211032020000003 1
 
2.6%
cdff5211032020000004 1
 
2.6%
cdff5211032020000005 1
 
2.6%
cdff5211032020000006 1
 
2.6%
cdff5211032020000009 1
 
2.6%
Other values (28) 28
73.7%
2024-04-30T04:24:24.556700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 281
37.0%
1 113
14.9%
2 106
 
13.9%
F 76
 
10.0%
3 47
 
6.2%
5 42
 
5.5%
C 38
 
5.0%
D 38
 
5.0%
9 7
 
0.9%
4 5
 
0.7%
Other values (3) 7
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 608
80.0%
Uppercase Letter 152
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 281
46.2%
1 113
18.6%
2 106
 
17.4%
3 47
 
7.7%
5 42
 
6.9%
9 7
 
1.2%
4 5
 
0.8%
7 4
 
0.7%
8 2
 
0.3%
6 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 608
80.0%
Latin 152
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 281
46.2%
1 113
18.6%
2 106
 
17.4%
3 47
 
7.7%
5 42
 
6.9%
9 7
 
1.2%
4 5
 
0.8%
7 4
 
0.7%
8 2
 
0.3%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 281
37.0%
1 113
14.9%
2 106
 
13.9%
F 76
 
10.0%
3 47
 
6.2%
5 42
 
5.5%
C 38
 
5.0%
D 38
 
5.0%
9 7
 
0.9%
4 5
 
0.7%
Other values (3) 7
 
0.9%

인허가일자
Date

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2002-02-28 00:00:00
Maximum2024-02-05 00:00:00
2024-04-30T04:24:24.666902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:24.766968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
34 
3
 
3
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 34
89.5%
3 3
 
7.9%
5 1
 
2.6%

Length

2024-04-30T04:24:24.900474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:24.998183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 34
89.5%
3 3
 
7.9%
5 1
 
2.6%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
영업/정상
34 
폐업
 
3
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.8421053
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 34
89.5%
폐업 3
 
7.9%
제외/삭제/전출 1
 
2.6%

Length

2024-04-30T04:24:25.106450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:25.212042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 34
89.5%
폐업 3
 
7.9%
제외/삭제/전출 1
 
2.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
13
34 
3
 
3
15
 
1

Length

Max length2
Median length2
Mean length1.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
13 34
89.5%
3 3
 
7.9%
15 1
 
2.6%

Length

2024-04-30T04:24:25.313279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:25.409749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 34
89.5%
3 3
 
7.9%
15 1
 
2.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
영업중
34 
폐업
 
3
전출
 
1

Length

Max length3
Median length3
Mean length2.8947368
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 34
89.5%
폐업 3
 
7.9%
전출 1
 
2.6%

Length

2024-04-30T04:24:25.520482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:25.612687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 34
89.5%
폐업 3
 
7.9%
전출 1
 
2.6%

폐업일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing35
Missing (%)92.1%
Memory size436.0 B
Minimum2015-01-20 00:00:00
Maximum2023-03-14 00:00:00
2024-04-30T04:24:25.679173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:25.752426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

전화번호
Text

MISSING 

Distinct8
Distinct (%)72.7%
Missing27
Missing (%)71.1%
Memory size436.0 B
2024-04-30T04:24:25.868729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.818182
Min length8

Characters and Unicode

Total characters119
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

Unique5 ?
Unique (%)45.5%

Sample

1st row070-8880-5167
2nd row2269-2696
3rd row3444-8022
4th row363-2537
5th row02-722-6056
ValueCountFrequency (%)
02-722-6056 2
18.2%
02-337-3838 2
18.2%
02-2272-2945 2
18.2%
070-8880-5167 1
9.1%
2269-2696 1
9.1%
3444-8022 1
9.1%
363-2537 1
9.1%
02-6351-3242 1
9.1%
2024-04-30T04:24:26.084883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 27
22.7%
- 19
16.0%
3 14
11.8%
0 13
10.9%
6 10
 
8.4%
7 9
 
7.6%
8 8
 
6.7%
5 7
 
5.9%
4 6
 
5.0%
9 4
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100
84.0%
Dash Punctuation 19
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 27
27.0%
3 14
14.0%
0 13
13.0%
6 10
 
10.0%
7 9
 
9.0%
8 8
 
8.0%
5 7
 
7.0%
4 6
 
6.0%
9 4
 
4.0%
1 2
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 27
22.7%
- 19
16.0%
3 14
11.8%
0 13
10.9%
6 10
 
8.4%
7 9
 
7.6%
8 8
 
6.7%
5 7
 
5.9%
4 6
 
5.0%
9 4
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 27
22.7%
- 19
16.0%
3 14
11.8%
0 13
10.9%
6 10
 
8.4%
7 9
 
7.6%
8 8
 
6.7%
5 7
 
5.9%
4 6
 
5.0%
9 4
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
35 
120110
 
1
120854
 
1
120190
 
1

Length

Max length6
Median length4
Mean length4.1578947
Min length4

Unique

Unique3 ?
Unique (%)7.9%

Sample

1st row120110
2nd row120854
3rd row<NA>
4th row120190
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 35
92.1%
120110 1
 
2.6%
120854 1
 
2.6%
120190 1
 
2.6%

Length

2024-04-30T04:24:26.200610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:26.313466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
92.1%
120110 1
 
2.6%
120854 1
 
2.6%
120190 1
 
2.6%

지번주소
Text

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-30T04:24:26.460574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length25.657895
Min length20

Characters and Unicode

Total characters975
Distinct characters95
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

Unique28 ?
Unique (%)73.7%

Sample

1st row서울특별시 서대문구 연희동 **-**번지 주영빌딩 *층
2nd row서울특별시 서대문구 홍제동 **번지 한양(아) ***-***
3rd row서울특별시 서대문구 대현동 **-*번지 이화여자대학교 이씨씨내 비***-*
4th row서울특별시 서대문구 북아현동 *-***번지
5th row서울특별시 서대문구 연희동 **-*번지 동도아카데미*차 B동 ***호
ValueCountFrequency (%)
서울특별시 38
21.6%
서대문구 38
21.6%
번지 25
14.2%
12
 
6.8%
연희동 8
 
4.5%
홍제동 7
 
4.0%
홍은동 4
 
2.3%
호 4
 
2.3%
북가좌동 3
 
1.7%
합동 3
 
1.7%
Other values (28) 34
19.3%
2024-04-30T04:24:26.743970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 172
17.6%
167
17.1%
서 76
 
7.8%
대 41
 
4.2%
동 39
 
4.0%
특 38
 
3.9%
별 38
 
3.9%
시 38
 
3.9%
문 38
 
3.9%
구 38
 
3.9%
Other values (85) 290
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 591
60.6%
Other Punctuation 172
 
17.6%
Space Separator 167
 
17.1%
Dash Punctuation 31
 
3.2%
Uppercase Letter 7
 
0.7%
Decimal Number 5
 
0.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 76
12.9%
대 41
 
6.9%
동 39
 
6.6%
특 38
 
6.4%
별 38
 
6.4%
시 38
 
6.4%
문 38
 
6.4%
구 38
 
6.4%
울 38
 
6.4%
번 25
 
4.2%
Other values (70) 182
30.8%
Uppercase Letter
ValueCountFrequency (%)
D 1
14.3%
S 1
14.3%
M 1
14.3%
C 1
14.3%
A 1
14.3%
B 1
14.3%
K 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 1
 
20.0%
5 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
* 172
100.0%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 591
60.6%
Common 377
38.7%
Latin 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 76
12.9%
대 41
 
6.9%
동 39
 
6.6%
특 38
 
6.4%
별 38
 
6.4%
시 38
 
6.4%
문 38
 
6.4%
구 38
 
6.4%
울 38
 
6.4%
번 25
 
4.2%
Other values (70) 182
30.8%
Common
ValueCountFrequency (%)
* 172
45.6%
167
44.3%
- 31
 
8.2%
1 3
 
0.8%
2 1
 
0.3%
5 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
Latin
ValueCountFrequency (%)
D 1
14.3%
S 1
14.3%
M 1
14.3%
C 1
14.3%
A 1
14.3%
B 1
14.3%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 591
60.6%
ASCII 384
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 172
44.8%
167
43.5%
- 31
 
8.1%
1 3
 
0.8%
2 1
 
0.3%
5 1
 
0.3%
D 1
 
0.3%
S 1
 
0.3%
M 1
 
0.3%
C 1
 
0.3%
Other values (5) 5
 
1.3%
Hangul
ValueCountFrequency (%)
서 76
12.9%
대 41
 
6.9%
동 39
 
6.6%
특 38
 
6.4%
별 38
 
6.4%
시 38
 
6.4%
문 38
 
6.4%
구 38
 
6.4%
울 38
 
6.4%
번 25
 
4.2%
Other values (70) 182
30.8%

도로명주소
Text

MISSING 

Distinct33
Distinct (%)89.2%
Missing1
Missing (%)2.6%
Memory size436.0 B
2024-04-30T04:24:26.999152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length34.810811
Min length26

Characters and Unicode

Total characters1288
Distinct characters126
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

Unique30 ?
Unique (%)81.1%

Sample

1st row서울특별시 서대문구 연희로 *** (연희동,주영빌딩 *층)
2nd row서울특별시 서대문구 이화여대길 ** (대현동,이화여자대학교 이씨씨내 비***-*)
3rd row서울특별시 서대문구 북아현로 *** (북아현동)
4th row서울특별시 서대문구 연희로**나길 ** (연희동,동도아카데미*차 B동 ***호)
5th row서울특별시 서대문구 서소문로 ** (합동,에스케이리쳄블 ****호)
ValueCountFrequency (%)
서울특별시 37
15.5%
서대문구 37
15.5%
36
15.1%
호 19
 
7.9%
층 15
 
6.3%
홍제동 6
 
2.5%
연희동 6
 
2.5%
간호대로*길 5
 
2.1%
홍은동 4
 
1.7%
동 4
 
1.7%
Other values (57) 70
29.3%
2024-04-30T04:24:27.317702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 211
16.4%
206
16.0%
서 77
 
6.0%
대 50
 
3.9%
동 42
 
3.3%
문 40
 
3.1%
울 38
 
3.0%
시 38
 
3.0%
, 38
 
3.0%
로 37
 
2.9%
Other values (116) 511
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 739
57.4%
Other Punctuation 249
 
19.3%
Space Separator 206
 
16.0%
Open Punctuation 37
 
2.9%
Close Punctuation 37
 
2.9%
Dash Punctuation 9
 
0.7%
Uppercase Letter 7
 
0.5%
Decimal Number 3
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 77
 
10.4%
대 50
 
6.8%
동 42
 
5.7%
문 40
 
5.4%
울 38
 
5.1%
시 38
 
5.1%
로 37
 
5.0%
구 37
 
5.0%
별 37
 
5.0%
특 37
 
5.0%
Other values (100) 306
41.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
14.3%
D 1
14.3%
M 1
14.3%
C 1
14.3%
B 1
14.3%
A 1
14.3%
K 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 211
84.7%
, 38
 
15.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 739
57.4%
Common 541
42.0%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 77
 
10.4%
대 50
 
6.8%
동 42
 
5.7%
문 40
 
5.4%
울 38
 
5.1%
시 38
 
5.1%
로 37
 
5.0%
구 37
 
5.0%
별 37
 
5.0%
특 37
 
5.0%
Other values (100) 306
41.4%
Common
ValueCountFrequency (%)
* 211
39.0%
206
38.1%
, 38
 
7.0%
( 37
 
6.8%
) 37
 
6.8%
- 9
 
1.7%
1 2
 
0.4%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
S 1
12.5%
D 1
12.5%
M 1
12.5%
C 1
12.5%
B 1
12.5%
A 1
12.5%
e 1
12.5%
K 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 739
57.4%
ASCII 549
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 211
38.4%
206
37.5%
, 38
 
6.9%
( 37
 
6.7%
) 37
 
6.7%
- 9
 
1.6%
1 2
 
0.4%
S 1
 
0.2%
D 1
 
0.2%
M 1
 
0.2%
Other values (6) 6
 
1.1%
Hangul
ValueCountFrequency (%)
서 77
 
10.4%
대 50
 
6.8%
동 42
 
5.7%
문 40
 
5.4%
울 38
 
5.1%
시 38
 
5.1%
로 37
 
5.0%
구 37
 
5.0%
별 37
 
5.0%
특 37
 
5.0%
Other values (100) 306
41.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)70.0%
Missing8
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean23114.233
Minimum3602
Maximum120766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-30T04:24:27.439465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3602
5-th percentile3612.4
Q13630
median3714
Q33780
95-th percentile120110
Maximum120766
Range117164
Interquartile range (IQR)150

Descriptive statistics

Standard deviation44171.054
Coefficient of variation (CV)1.9109894
Kurtosis1.657298
Mean23114.233
Median Absolute Deviation (MAD)69
Skewness1.8844359
Sum693427
Variance1.951082 × 109
MonotonicityNot monotonic
2024-04-30T04:24:27.534482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3619 6
15.8%
3785 2
 
5.3%
3736 2
 
5.3%
3703 2
 
5.3%
120110 2
 
5.3%
3781 1
 
2.6%
3741 1
 
2.6%
3777 1
 
2.6%
3707 1
 
2.6%
3663 1
 
2.6%
Other values (11) 11
28.9%
(Missing) 8
21.1%
ValueCountFrequency (%)
3602 1
 
2.6%
3607 1
 
2.6%
3619 6
15.8%
3663 1
 
2.6%
3670 1
 
2.6%
3680 1
 
2.6%
3693 1
 
2.6%
3703 2
 
5.3%
3707 1
 
2.6%
3721 1
 
2.6%
ValueCountFrequency (%)
120766 1
2.6%
120110 2
5.3%
120100 1
2.6%
120030 1
2.6%
3785 2
5.3%
3781 1
2.6%
3777 1
2.6%
3773 1
2.6%
3741 1
2.6%
3736 2
5.3%

사업장명
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-30T04:24:27.703284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8.3157895
Min length2

Characters and Unicode

Total characters316
Distinct characters121
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)94.7%

Sample

1st row(주)잇츠뮤직
2nd row가실
3rd row(주)영화사백두대간
4th row(주)굿베리엔터테인먼트
5th row필름더데이즈
ValueCountFrequency (%)
주식회사 8
 
15.4%
퓨어웨이 2
 
3.8%
픽쳐스 2
 
3.8%
커피브레이크 1
 
1.9%
주)씨네월드 1
 
1.9%
스튜디오쿵짝 1
 
1.9%
주)타이거픽쳐스 1
 
1.9%
그노스 1
 
1.9%
백퍼센트쏘세지 1
 
1.9%
씨컬처(c컬처 1
 
1.9%
Other values (33) 33
63.5%
2024-04-30T04:24:28.030043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 25
 
7.9%
사 17
 
5.4%
( 17
 
5.4%
) 17
 
5.4%
14
 
4.4%
스 12
 
3.8%
이 10
 
3.2%
식 8
 
2.5%
회 8
 
2.5%
화 6
 
1.9%
Other values (111) 182
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
82.6%
Open Punctuation 17
 
5.4%
Close Punctuation 17
 
5.4%
Space Separator 14
 
4.4%
Decimal Number 4
 
1.3%
Uppercase Letter 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
9.6%
사 17
 
6.5%
스 12
 
4.6%
이 10
 
3.8%
식 8
 
3.1%
회 8
 
3.1%
화 6
 
2.3%
인 6
 
2.3%
영 6
 
2.3%
트 5
 
1.9%
Other values (103) 158
60.5%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
3 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
A 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
82.6%
Common 53
 
16.8%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
9.6%
사 17
 
6.5%
스 12
 
4.6%
이 10
 
3.8%
식 8
 
3.1%
회 8
 
3.1%
화 6
 
2.3%
인 6
 
2.3%
영 6
 
2.3%
트 5
 
1.9%
Other values (103) 158
60.5%
Common
ValueCountFrequency (%)
( 17
32.1%
) 17
32.1%
14
26.4%
5 2
 
3.8%
3 2
 
3.8%
. 1
 
1.9%
Latin
ValueCountFrequency (%)
C 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
82.6%
ASCII 55
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 25
 
9.6%
사 17
 
6.5%
스 12
 
4.6%
이 10
 
3.8%
식 8
 
3.1%
회 8
 
3.1%
화 6
 
2.3%
인 6
 
2.3%
영 6
 
2.3%
트 5
 
1.9%
Other values (103) 158
60.5%
ASCII
ValueCountFrequency (%)
( 17
30.9%
) 17
30.9%
14
25.5%
5 2
 
3.6%
3 2
 
3.6%
C 1
 
1.8%
. 1
 
1.8%
A 1
 
1.8%

최종수정일자
Date

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2010-05-18 17:14:14
Maximum2024-02-05 10:53:40
2024-04-30T04:24:28.145561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:28.244368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
I
31 
U
7 

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 31
81.6%
U 7
 
18.4%

Length

2024-04-30T04:24:28.349414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:28.451998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 31
81.6%
u 7
 
18.4%

데이터갱신일자
Date

Distinct23
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:07:00
2024-04-30T04:24:28.540207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:28.651842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

좌표정보(X)
Real number (ℝ)

Distinct31
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194695.41
Minimum191780.25
Maximum196945.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-30T04:24:28.757164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191780.25
5-th percentile192240.22
Q1193712.48
median195122.3
Q3195536.47
95-th percentile196900.1
Maximum196945.45
Range5165.2005
Interquartile range (IQR)1823.9976

Descriptive statistics

Standard deviation1459.007
Coefficient of variation (CV)0.0074937923
Kurtosis-0.86162679
Mean194695.41
Median Absolute Deviation (MAD)1400.4885
Skewness-0.11410634
Sum7398425.6
Variance2128701.3
MonotonicityNot monotonic
2024-04-30T04:24:28.874561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
195314.09396012 3
 
7.9%
196791.676370681 2
 
5.3%
193712.476983727 2
 
5.3%
196945.454641052 2
 
5.3%
193721.461388567 2
 
5.3%
195318.886731268 2
 
5.3%
194109.156416763 1
 
2.6%
195254.46824908 1
 
2.6%
196471.863658903 1
 
2.6%
191780.254137436 1
 
2.6%
Other values (21) 21
55.3%
ValueCountFrequency (%)
191780.254137436 1
2.6%
192126.454091719 1
2.6%
192260.299912091 1
2.6%
192737.745088368 1
2.6%
192944.068716589 1
2.6%
193093.291328887 1
2.6%
193204.345677601 1
2.6%
193576.751798214 1
2.6%
193604.556559029 1
2.6%
193712.476983727 2
5.3%
ValueCountFrequency (%)
196945.454641052 2
5.3%
196892.09236853 1
 
2.6%
196791.676370681 2
5.3%
196790.56276047 1
 
2.6%
196471.863658903 1
 
2.6%
195921.354970561 1
 
2.6%
195629.540151199 1
 
2.6%
195609.003834467 1
 
2.6%
195318.886731268 2
5.3%
195314.09396012 3
7.9%

좌표정보(Y)
Real number (ℝ)

Distinct31
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452523.67
Minimum450637.01
Maximum455532.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-30T04:24:29.203724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450637.01
5-th percentile450644.71
Q1451309.45
median452017.23
Q3453377.02
95-th percentile454909.41
Maximum455532.55
Range4895.5418
Interquartile range (IQR)2067.5781

Descriptive statistics

Standard deviation1557.4186
Coefficient of variation (CV)0.003441629
Kurtosis-0.99886377
Mean452523.67
Median Absolute Deviation (MAD)952.83532
Skewness0.6292363
Sum17195900
Variance2425552.7
MonotonicityNot monotonic
2024-04-30T04:24:29.305255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
454854.831582051 3
 
7.9%
451412.460285013 2
 
5.3%
450637.010875398 2
 
5.3%
451003.162676008 2
 
5.3%
451795.216250499 2
 
5.3%
454828.109574439 2
 
5.3%
452099.692080255 1
 
2.6%
454855.386519256 1
 
2.6%
452056.821834905 1
 
2.6%
453117.479967771 1
 
2.6%
Other values (21) 21
55.3%
ValueCountFrequency (%)
450637.010875398 2
5.3%
450646.069268441 1
2.6%
450688.481174146 1
2.6%
450948.915518467 1
2.6%
451003.162676008 2
5.3%
451125.633834762 1
2.6%
451143.789306014 1
2.6%
451275.108363002 1
2.6%
451412.460285013 2
5.3%
451438.533143826 1
2.6%
ValueCountFrequency (%)
455532.552666932 1
 
2.6%
455215.546447881 1
 
2.6%
454855.386519256 1
 
2.6%
454854.831582051 3
7.9%
454828.109574439 2
5.3%
454776.99790801 1
 
2.6%
453430.811542203 1
 
2.6%
453215.663306345 1
 
2.6%
453117.479967771 1
 
2.6%
452908.189700088 1
 
2.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
영화배급업
30 
<NA>
8 

Length

Max length5
Median length5
Mean length4.7894737
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 30
78.9%
<NA> 8
 
21.1%

Length

2024-04-30T04:24:29.401117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:29.488123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 30
78.9%
na 8
 
21.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
0
 
2

Length

Max length4
Median length4
Mean length3.8421053
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> 36
94.7%
0 2
 
5.3%

Length

2024-04-30T04:24:29.588155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:29.693326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
0 2
 
5.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
0
 
2

Length

Max length4
Median length4
Mean length3.8421053
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> 36
94.7%
0 2
 
5.3%

Length

2024-04-30T04:24:29.803614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:29.888669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
0 2
 
5.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
0
 
2

Length

Max length4
Median length4
Mean length3.8421053
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> 36
94.7%
0 2
 
5.3%

Length

2024-04-30T04:24:29.981484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:30.085418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
0 2
 
5.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
0
 
2

Length

Max length4
Median length4
Mean length3.8421053
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> 36
94.7%
0 2
 
5.3%

Length

2024-04-30T04:24:30.178911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:30.309562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
0 2
 
5.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
0
 
2

Length

Max length4
Median length4
Mean length3.8421053
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> 36
94.7%
0 2
 
5.3%

Length

2024-04-30T04:24:30.459760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:30.597083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
0 2
 
5.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
0
 
2

Length

Max length4
Median length4
Mean length3.8421053
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> 36
94.7%
0 2
 
5.3%

Length

2024-04-30T04:24:30.716624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:30.842836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
0 2
 
5.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
0
 
2

Length

Max length4
Median length4
Mean length3.8421053
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> 36
94.7%
0 2
 
5.3%

Length

2024-04-30T04:24:30.959423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:31.078707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
0 2
 
5.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
0
 
2

Length

Max length4
Median length4
Mean length3.8421053
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> 36
94.7%
0 2
 
5.3%

Length

2024-04-30T04:24:31.193904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:31.334826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
0 2
 
5.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
0
 
2

Length

Max length4
Median length4
Mean length3.8421053
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> 36
94.7%
0 2
 
5.3%

Length

2024-04-30T04:24:31.453303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:31.576423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
0 2
 
5.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing8
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean20137206
Minimum20020228
Maximum20220111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-30T04:24:31.687654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020228
5-th percentile20039808
Q120093694
median20150368
Q320190320
95-th percentile20206337
Maximum20220111
Range199883
Interquartile range (IQR)96626.5

Descriptive statistics

Standard deviation56501.577
Coefficient of variation (CV)0.0028058301
Kurtosis-0.83684916
Mean20137206
Median Absolute Deviation (MAD)44751
Skewness-0.3976598
Sum6.0411617 × 108
Variance3.1924282 × 109
MonotonicityNot monotonic
2024-04-30T04:24:31.838778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20190318 1
 
2.6%
20220111 1
 
2.6%
20211013 1
 
2.6%
20151023 1
 
2.6%
20200622 1
 
2.6%
20060515 1
 
2.6%
20050310 1
 
2.6%
20170407 1
 
2.6%
20151211 1
 
2.6%
20200303 1
 
2.6%
Other values (20) 20
52.6%
(Missing) 8
 
21.1%
ValueCountFrequency (%)
20020228 1
2.6%
20031215 1
2.6%
20050310 1
2.6%
20060515 1
2.6%
20080422 1
2.6%
20090612 1
2.6%
20090921 1
2.6%
20091217 1
2.6%
20101124 1
2.6%
20110111 1
2.6%
ValueCountFrequency (%)
20220111 1
2.6%
20211013 1
2.6%
20200622 1
2.6%
20200303 1
2.6%
20200217 1
2.6%
20200204 1
2.6%
20190402 1
2.6%
20190321 1
2.6%
20190318 1
2.6%
20170621 1
2.6%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFF521103200200000120020228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120110서울특별시 서대문구 연희동 **-**번지 주영빌딩 *층서울특별시 서대문구 연희로 *** (연희동,주영빌딩 *층)<NA>(주)잇츠뮤직2010-05-18 17:14:14I2018-08-31 23:59:59.0<NA>194109.156417452099.69208영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20020228<NA>
13120000CDFF521103200800000120080422<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120854서울특별시 서대문구 홍제동 **번지 한양(아) ***-***<NA><NA>가실2010-05-18 17:17:32I2018-08-31 23:59:59.0<NA>195259.429273453430.811542영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080422<NA>
23120000CDFF521103200900000120090921<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대현동 **-*번지 이화여자대학교 이씨씨내 비***-*서울특별시 서대문구 이화여대길 ** (대현동,이화여자대학교 이씨씨내 비***-*)<NA>(주)영화사백두대간2014-12-01 11:41:45I2018-08-31 23:59:59.0<NA>195287.766419451143.789306영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090921<NA>
33120000CDFF521103200900000220091217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120190서울특별시 서대문구 북아현동 *-***번지서울특별시 서대문구 북아현로 *** (북아현동)<NA>(주)굿베리엔터테인먼트2010-05-18 17:19:36I2018-08-31 23:59:59.0<NA>195609.003834451438.533144영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20091217<NA>
43120000CDFF521103201000000120090612<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 **-*번지 동도아카데미*차 B동 ***호서울특별시 서대문구 연희로**나길 ** (연희동,동도아카데미*차 B동 ***호)<NA>필름더데이즈2010-05-18 17:21:43I2018-08-31 23:59:59.0<NA>194344.067875452382.588601영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090612<NA>
53120000CDFF521103201100000120110111<NA>3폐업3폐업<NA><NA><NA><NA>070-8880-5167<NA><NA>서울특별시 서대문구 합동 ***번지 에스케이리쳄블 ****호서울특별시 서대문구 서소문로 ** (합동,에스케이리쳄블 ****호)<NA>퓨어웨이 픽쳐스2016-11-30 17:53:10I2018-08-31 23:59:59.0<NA>196945.454641451003.162676영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110111<NA>
63120000CDFF521103201100000220110211<NA>3폐업3폐업20150120<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 ***-*번지 씨엔티빌딩서울특별시 서대문구 증가로**길 ** (북가좌동,씨엔티빌딩)<NA>씨엔티테크(주)2015-01-20 16:48:00I2018-08-31 23:59:59.0<NA>192126.454092453215.663306영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110211<NA>
73120000CDFF521103201100000320110330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 냉천동 ***번지 *층서울특별시 서대문구 통일로 ***-* (냉천동,*층)<NA>다솔기획2011-03-30 10:56:03I2018-08-31 23:59:59.0<NA>196790.56276451716.64293영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110330<NA>
83120000CDFF521103201200000420120906<NA>1영업/정상13영업중<NA><NA><NA><NA>2269-2696<NA><NA>서울특별시 서대문구 합동 ***번지서울특별시 서대문구 서소문로 **, ***호 (합동, 충정로대우디오빌)120030주식회사 와몽이엔티2012-09-06 13:44:47I2018-08-31 23:59:59.0<NA>196892.092369450948.915518영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120906<NA>
93120000CDFF521103201300000120101124<NA>1영업/정상13영업중<NA><NA><NA><NA>3444-8022<NA><NA>서울특별시 서대문구 연희동 ***-***번지 금송빌딩 ***호서울특별시 서대문구 성산로 ***-*, ***호 (연희동, 금송빌딩)120110(주)이스트스카이필름2013-04-03 10:59:14I2018-08-31 23:59:59.0<NA>192737.745088451731.537566영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20101124<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
283120000CDFF521103202000000820060515<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-*서울특별시 서대문구 간호대로*길 **, *층 (홍제동)3619(주)타이거픽쳐스2022-03-04 16:57:11U2022-03-10 02:40:00.0<NA>195318.886731454828.109574영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060515<NA>
293120000CDFF521103202000000920200622<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 **-*번지서울특별시 서대문구 가재울로*안길 **-** (남가좌동)3693A.33552020-06-22 13:04:58I2020-06-24 00:23:17.0<NA>193204.345678452560.72771영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200622<NA>
303120000CDFF521103202000001020151023<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 *** DMC센트럴아이파크서울특별시 서대문구 증가로 ***, ***동 ***호 (남가좌동, DMC센트럴아이파크)3670주식회사 흰수염고래영화사2020-08-13 16:05:08I2020-08-15 00:23:13.0<NA>192944.068717452838.63763영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20151023<NA>
313120000CDFF521103202100000120211013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 ***-*서울특별시 서대문구 가좌로 **, ***호 (홍은동)3663영화사 명랑성2021-10-13 11:51:47I2021-10-15 00:22:46.0<NA>193722.152762452908.1897영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20211013<NA>
323120000CDFF521103202200000120220111<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 ***-**서울특별시 서대문구 연희로**가길 **, *층 ***호 (연희동)3707사려니필름2022-01-11 12:01:58I2022-01-13 00:22:41.0<NA>193576.751798451607.176604영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20220111<NA>
333120000CDFF521103202200000220220328<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 ***-*서울특별시 서대문구 신촌로 **, *층 ****호 (창천동)3785주식회사 스튜디오 커피브레이크2022-03-28 14:48:24I2021-12-02 21:01:00.0<NA>193712.476984450637.010875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343120000CDFF521103202200000320210219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 *-** 캠퍼스타운 에스큐브 ***호서울특별시 서대문구 연세로*나길 **, 캠퍼스타운 에스큐브 ***호 (창천동)3777(주)하이스트레인저2022-07-19 17:07:31I2021-12-06 22:01:00.0<NA>194622.034824450646.069268<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353120000CDFF52110320230000012023-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 ***-*서울특별시 서대문구 신촌로 **, *층 ****호 (창천동)3785주식회사 스튜디오쿵짝2023-04-24 09:51:56I2022-12-03 22:06:00.0<NA>193712.476984450637.010875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363120000CDFF52110320230000022023-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-*서울특별시 서대문구 간호대로*길 **, *층 (홍제동)3619(주)제리굿컴퍼니2023-05-19 09:45:50I2022-12-04 22:01:00.0<NA>195314.09396454854.831582<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373120000CDFF52110320240000012024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 합동 *** SK리쳄블서울특별시 서대문구 서소문로 **, SK리쳄블 ****호 (합동)3741퓨어웨이 픽쳐스2024-02-05 10:53:40I2023-12-02 00:07:00.0<NA>196945.454641451003.162676<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>