Overview

Dataset statistics

Number of variables56
Number of observations60
Missing cells1683
Missing cells (%)50.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.9 KiB
Average record size in memory493.2 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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17650/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (69.8%)Imbalance
총층수 is highly imbalanced (87.8%)Imbalance
시설면적 is highly imbalanced (87.8%)Imbalance
지상층수 is highly imbalanced (87.8%)Imbalance
지하층수 is highly imbalanced (87.8%)Imbalance
통로너비 is highly imbalanced (87.8%)Imbalance
조명시설조도 is highly imbalanced (87.8%)Imbalance
노래방실수 is highly imbalanced (87.8%)Imbalance
청소년실수 is highly imbalanced (87.8%)Imbalance
총게임기수 is highly imbalanced (87.8%)Imbalance
인허가취소일자 has 60 (100.0%) missing valuesMissing
폐업일자 has 49 (81.7%) missing valuesMissing
휴업시작일자 has 60 (100.0%) missing valuesMissing
휴업종료일자 has 60 (100.0%) missing valuesMissing
재개업일자 has 60 (100.0%) missing valuesMissing
전화번호 has 38 (63.3%) missing valuesMissing
소재지면적 has 60 (100.0%) missing valuesMissing
도로명주소 has 1 (1.7%) missing valuesMissing
도로명우편번호 has 10 (16.7%) missing valuesMissing
업태구분명 has 60 (100.0%) missing valuesMissing
좌표정보(X) has 4 (6.7%) missing valuesMissing
좌표정보(Y) has 4 (6.7%) missing valuesMissing
문화사업자구분명 has 60 (100.0%) missing valuesMissing
주변환경명 has 60 (100.0%) missing valuesMissing
제작취급품목내용 has 60 (100.0%) missing valuesMissing
건물용도명 has 60 (100.0%) missing valuesMissing
비상계단여부 has 60 (100.0%) missing valuesMissing
비상구여부 has 60 (100.0%) missing valuesMissing
자동환기여부 has 60 (100.0%) missing valuesMissing
청소년실여부 has 60 (100.0%) missing valuesMissing
특수조명여부 has 60 (100.0%) missing valuesMissing
방음시설여부 has 60 (100.0%) missing valuesMissing
비디오재생기명 has 60 (100.0%) missing valuesMissing
조명시설유무 has 60 (100.0%) missing valuesMissing
음향시설여부 has 60 (100.0%) missing valuesMissing
편의시설여부 has 60 (100.0%) missing valuesMissing
소방시설여부 has 60 (100.0%) missing valuesMissing
기존게임업외업종명 has 60 (100.0%) missing valuesMissing
제공게임물명 has 60 (100.0%) missing valuesMissing
공연장형태구분명 has 60 (100.0%) missing valuesMissing
품목명 has 60 (100.0%) missing valuesMissing
최초등록시점 has 17 (28.3%) missing valuesMissing
지역구분명 has 60 (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 started2024-05-11 06:05:18.512075
Analysis finished2024-05-11 06:05:19.393547
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
3230000
60 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 60
100.0%

Length

2024-05-11T15:05:19.487110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:19.629461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 60
100.0%

관리번호
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T15:05:19.904768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1200
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

Unique60 ?
Unique (%)100.0%

Sample

1st rowCDFF5211031999000002
2nd rowCDFF5211032000000001
3rd rowCDFF5211032000000002
4th rowCDFF5211032003000001
5th rowCDFF5211032005000001
ValueCountFrequency (%)
cdff5211031999000002 1
 
1.7%
cdff5211032000000001 1
 
1.7%
cdff5211032021000003 1
 
1.7%
cdff5211032018000007 1
 
1.7%
cdff5211032018000008 1
 
1.7%
cdff5211032019000001 1
 
1.7%
cdff5211032019000002 1
 
1.7%
cdff5211032019000003 1
 
1.7%
cdff5211032019000005 1
 
1.7%
cdff5211032019000006 1
 
1.7%
Other values (50) 50
83.3%
2024-05-11T15:05:20.375530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 430
35.8%
1 182
15.2%
2 161
 
13.4%
F 120
 
10.0%
3 76
 
6.3%
5 68
 
5.7%
C 60
 
5.0%
D 60
 
5.0%
9 9
 
0.8%
4 9
 
0.8%
Other values (3) 25
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
80.0%
Uppercase Letter 240
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
44.8%
1 182
19.0%
2 161
 
16.8%
3 76
 
7.9%
5 68
 
7.1%
9 9
 
0.9%
4 9
 
0.9%
8 9
 
0.9%
7 8
 
0.8%
6 8
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
80.0%
Latin 240
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 430
44.8%
1 182
19.0%
2 161
 
16.8%
3 76
 
7.9%
5 68
 
7.1%
9 9
 
0.9%
4 9
 
0.9%
8 9
 
0.9%
7 8
 
0.8%
6 8
 
0.8%
Latin
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 430
35.8%
1 182
15.2%
2 161
 
13.4%
F 120
 
10.0%
3 76
 
6.3%
5 68
 
5.7%
C 60
 
5.0%
D 60
 
5.0%
9 9
 
0.8%
4 9
 
0.8%
Other values (3) 25
 
2.1%
Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum1999-11-26 00:00:00
Maximum2024-01-10 00:00:00
2024-05-11T15:05:20.590647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:20.822711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B
Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
1
49 
3
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 49
81.7%
3 6
 
10.0%
5 5
 
8.3%

Length

2024-05-11T15:05:21.045724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:21.209563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 49
81.7%
3 6
 
10.0%
5 5
 
8.3%

영업상태명
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
영업/정상
49 
폐업
제외/삭제/전출

Length

Max length8
Median length5
Mean length4.95
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 49
81.7%
폐업 6
 
10.0%
제외/삭제/전출 5
 
8.3%

Length

2024-05-11T15:05:21.400516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:21.669459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 49
81.7%
폐업 6
 
10.0%
제외/삭제/전출 5
 
8.3%
Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
13
49 
3
15

Length

Max length2
Median length2
Mean length1.9
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 49
81.7%
3 6
 
10.0%
15 5
 
8.3%

Length

2024-05-11T15:05:21.876498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:22.045106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 49
81.7%
3 6
 
10.0%
15 5
 
8.3%
Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
영업중
49 
폐업
전출

Length

Max length3
Median length3
Mean length2.8166667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 49
81.7%
폐업 6
 
10.0%
전출 5
 
8.3%

Length

2024-05-11T15:05:22.203900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:22.354701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 49
81.7%
폐업 6
 
10.0%
전출 5
 
8.3%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing49
Missing (%)81.7%
Memory size612.0 B
Minimum2014-01-29 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T15:05:22.483099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:22.834074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

전화번호
Text

MISSING 

Distinct20
Distinct (%)90.9%
Missing38
Missing (%)63.3%
Memory size612.0 B
2024-05-11T15:05:23.033170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.454545
Min length8

Characters and Unicode

Total characters230
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

Unique18 ?
Unique (%)81.8%

Sample

1st row3404-2811
2nd row02-6053-9018
3rd row024201251
4th row422-6030
5th row024082576
ValueCountFrequency (%)
02-515-9234 2
 
9.1%
024029040 2
 
9.1%
02-3470-3400 1
 
4.5%
024130107 1
 
4.5%
02-471-7908 1
 
4.5%
07086142977 1
 
4.5%
02-400-7151 1
 
4.5%
02-422-5255 1
 
4.5%
025159234 1
 
4.5%
02-498-9297 1
 
4.5%
Other values (10) 10
45.5%
2024-05-11T15:05:23.423716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 47
20.4%
2 39
17.0%
4 27
11.7%
- 26
11.3%
5 18
 
7.8%
1 18
 
7.8%
7 17
 
7.4%
9 13
 
5.7%
3 11
 
4.8%
8 8
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 204
88.7%
Dash Punctuation 26
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
23.0%
2 39
19.1%
4 27
13.2%
5 18
 
8.8%
1 18
 
8.8%
7 17
 
8.3%
9 13
 
6.4%
3 11
 
5.4%
8 8
 
3.9%
6 6
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 47
20.4%
2 39
17.0%
4 27
11.7%
- 26
11.3%
5 18
 
7.8%
1 18
 
7.8%
7 17
 
7.4%
9 13
 
5.7%
3 11
 
4.8%
8 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 47
20.4%
2 39
17.0%
4 27
11.7%
- 26
11.3%
5 18
 
7.8%
1 18
 
7.8%
7 17
 
7.4%
9 13
 
5.7%
3 11
 
4.8%
8 8
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
53 
138180
 
2
138051
 
2
138190
 
1
138161
 
1

Length

Max length6
Median length4
Mean length4.2333333
Min length4

Unique

Unique3 ?
Unique (%)5.0%

Sample

1st row138180
2nd row138190
3rd row138051
4th row138161
5th row138180

Common Values

ValueCountFrequency (%)
<NA> 53
88.3%
138180 2
 
3.3%
138051 2
 
3.3%
138190 1
 
1.7%
138161 1
 
1.7%
138712 1
 
1.7%

Length

2024-05-11T15:05:23.653756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:23.820027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
88.3%
138180 2
 
3.3%
138051 2
 
3.3%
138190 1
 
1.7%
138161 1
 
1.7%
138712 1
 
1.7%
Distinct49
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T15:05:24.103423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length26.433333
Min length19

Characters and Unicode

Total characters1586
Distinct characters116
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)70.0%

Sample

1st row서울특별시 송파구 삼전동 **-*번지 평화빌딩 ***호
2nd row서울특별시 송파구 석촌동 ***-*번지 광명빌딩 ***호
3rd row서울특별시 송파구 방이동 ***번지
4th row서울특별시 송파구 가락동 ***번지
5th row서울특별시 송파구 삼전동 ***-**번지
ValueCountFrequency (%)
서울특별시 60
19.6%
송파구 60
19.6%
32
10.5%
번지 29
9.5%
문정동 24
 
7.8%
8
 
2.6%
잠실동 7
 
2.3%
방이동 6
 
2.0%
삼전동 6
 
2.0%
가든파이브라이프 6
 
2.0%
Other values (43) 68
22.2%
2024-05-11T15:05:24.466906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
283
17.8%
* 249
15.7%
82
 
5.2%
69
 
4.4%
64
 
4.0%
63
 
4.0%
60
 
3.8%
60
 
3.8%
60
 
3.8%
60
 
3.8%
Other values (106) 536
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1019
64.2%
Space Separator 283
 
17.8%
Other Punctuation 249
 
15.7%
Dash Punctuation 32
 
2.0%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
82
 
8.0%
69
 
6.8%
64
 
6.3%
63
 
6.2%
60
 
5.9%
60
 
5.9%
60
 
5.9%
60
 
5.9%
60
 
5.9%
34
 
3.3%
Other values (100) 407
39.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
283
100.0%
Other Punctuation
ValueCountFrequency (%)
* 249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1019
64.2%
Common 564
35.6%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
82
 
8.0%
69
 
6.8%
64
 
6.3%
63
 
6.2%
60
 
5.9%
60
 
5.9%
60
 
5.9%
60
 
5.9%
60
 
5.9%
34
 
3.3%
Other values (100) 407
39.9%
Common
ValueCountFrequency (%)
283
50.2%
* 249
44.1%
- 32
 
5.7%
Latin
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1019
64.2%
ASCII 567
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
283
49.9%
* 249
43.9%
- 32
 
5.6%
S 1
 
0.2%
K 1
 
0.2%
V 1
 
0.2%
Hangul
ValueCountFrequency (%)
82
 
8.0%
69
 
6.8%
64
 
6.3%
63
 
6.2%
60
 
5.9%
60
 
5.9%
60
 
5.9%
60
 
5.9%
60
 
5.9%
34
 
3.3%
Other values (100) 407
39.9%

도로명주소
Text

MISSING 

Distinct55
Distinct (%)93.2%
Missing1
Missing (%)1.7%
Memory size612.0 B
2024-05-11T15:05:24.766030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length39.084746
Min length24

Characters and Unicode

Total characters2306
Distinct characters144
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

Unique51 ?
Unique (%)86.4%

Sample

1st row서울특별시 송파구 백제고분로 ***, ***호 (삼전동,평화빌딩)
2nd row서울특별시 송파구 가락로 ** (석촌동,광명빌딩 ***호)
3rd row서울특별시 송파구 양재대로**길 *-** (방이동)
4th row서울특별시 송파구 송파대로**길 *-** (가락동)
5th row서울특별시 송파구 삼학사로 ** (삼전동)
ValueCountFrequency (%)
60
 
13.9%
서울특별시 59
 
13.7%
송파구 59
 
13.7%
30
 
7.0%
문정동 24
 
5.6%
15
 
3.5%
10
 
2.3%
송파대로 9
 
2.1%
올림픽로 8
 
1.9%
잠실동 7
 
1.6%
Other values (89) 150
34.8%
2024-05-11T15:05:25.424110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 403
17.5%
381
16.5%
94
 
4.1%
83
 
3.6%
82
 
3.6%
, 74
 
3.2%
63
 
2.7%
61
 
2.6%
59
 
2.6%
59
 
2.6%
Other values (134) 947
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1297
56.2%
Other Punctuation 477
 
20.7%
Space Separator 381
 
16.5%
Open Punctuation 59
 
2.6%
Close Punctuation 59
 
2.6%
Dash Punctuation 21
 
0.9%
Uppercase Letter 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
94
 
7.2%
83
 
6.4%
82
 
6.3%
63
 
4.9%
61
 
4.7%
59
 
4.5%
59
 
4.5%
59
 
4.5%
59
 
4.5%
59
 
4.5%
Other values (121) 619
47.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
33.3%
C 3
25.0%
A 1
 
8.3%
S 1
 
8.3%
K 1
 
8.3%
V 1
 
8.3%
G 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 403
84.5%
, 74
 
15.5%
Space Separator
ValueCountFrequency (%)
381
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1297
56.2%
Common 997
43.2%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
94
 
7.2%
83
 
6.4%
82
 
6.3%
63
 
4.9%
61
 
4.7%
59
 
4.5%
59
 
4.5%
59
 
4.5%
59
 
4.5%
59
 
4.5%
Other values (121) 619
47.7%
Latin
ValueCountFrequency (%)
B 4
33.3%
C 3
25.0%
A 1
 
8.3%
S 1
 
8.3%
K 1
 
8.3%
V 1
 
8.3%
G 1
 
8.3%
Common
ValueCountFrequency (%)
* 403
40.4%
381
38.2%
, 74
 
7.4%
( 59
 
5.9%
) 59
 
5.9%
- 21
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1297
56.2%
ASCII 1009
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 403
39.9%
381
37.8%
, 74
 
7.3%
( 59
 
5.8%
) 59
 
5.8%
- 21
 
2.1%
B 4
 
0.4%
C 3
 
0.3%
A 1
 
0.1%
S 1
 
0.1%
Other values (3) 3
 
0.3%
Hangul
ValueCountFrequency (%)
94
 
7.2%
83
 
6.4%
82
 
6.3%
63
 
4.9%
61
 
4.7%
59
 
4.5%
59
 
4.5%
59
 
4.5%
59
 
4.5%
59
 
4.5%
Other values (121) 619
47.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)62.0%
Missing10
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean21687.5
Minimum5501
Maximum138960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T15:05:25.641957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5504.25
Q15603
median5832
Q35854
95-th percentile138832.85
Maximum138960
Range133459
Interquartile range (IQR)251

Descriptive statistics

Standard deviation43662.307
Coefficient of variation (CV)2.0132476
Kurtosis3.9737575
Mean21687.5
Median Absolute Deviation (MAD)87
Skewness2.4116768
Sum1084375
Variance1.9063971 × 109
MonotonicityNot monotonic
2024-05-11T15:05:25.824584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5854 9
15.0%
5838 5
 
8.3%
5502 2
 
3.3%
5542 2
 
3.3%
5855 2
 
3.3%
5603 2
 
3.3%
5828 2
 
3.3%
5807 2
 
3.3%
5837 2
 
3.3%
5556 1
 
1.7%
Other values (21) 21
35.0%
(Missing) 10
16.7%
ValueCountFrequency (%)
5501 1
1.7%
5502 2
3.3%
5507 1
1.7%
5525 1
1.7%
5542 2
3.3%
5548 1
1.7%
5551 1
1.7%
5553 1
1.7%
5556 1
1.7%
5594 1
1.7%
ValueCountFrequency (%)
138960 1
 
1.7%
138864 1
 
1.7%
138854 1
 
1.7%
138807 1
 
1.7%
138712 1
 
1.7%
138222 1
 
1.7%
5855 2
 
3.3%
5854 9
15.0%
5838 5
8.3%
5837 2
 
3.3%
Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T15:05:26.185242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length15
Mean length10.1
Min length3

Characters and Unicode

Total characters606
Distinct characters152
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

Unique58 ?
Unique (%)96.7%

Sample

1st row(주)필림트리엔터테인먼트그룹
2nd row(주)핑구비브이코리아
3rd row(주)네오필름
4th row(주)에이앤디코리아
5th row(주)미디어라인코리아
ValueCountFrequency (%)
주식회사 21
 
22.1%
주)영화사 2
 
2.1%
헉미디어 2
 
2.1%
안다미로 2
 
2.1%
2
 
2.1%
픽쳐스 2
 
2.1%
두리컴미디어 1
 
1.1%
주)영화사벌집 1
 
1.1%
주)영화특별시에스엠씨 1
 
1.1%
아시아무비(asiamovie 1
 
1.1%
Other values (60) 60
63.2%
2024-05-11T15:05:26.745017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
7.8%
36
 
5.9%
( 28
 
4.6%
) 28
 
4.6%
25
 
4.1%
23
 
3.8%
23
 
3.8%
21
 
3.5%
21
 
3.5%
15
 
2.5%
Other values (142) 339
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 488
80.5%
Space Separator 36
 
5.9%
Open Punctuation 28
 
4.6%
Close Punctuation 28
 
4.6%
Lowercase Letter 11
 
1.8%
Uppercase Letter 9
 
1.5%
Other Punctuation 4
 
0.7%
Other Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
9.6%
25
 
5.1%
23
 
4.7%
23
 
4.7%
21
 
4.3%
21
 
4.3%
15
 
3.1%
12
 
2.5%
11
 
2.3%
11
 
2.3%
Other values (118) 279
57.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
11.1%
K 1
11.1%
L 1
11.1%
E 1
11.1%
H 1
11.1%
T 1
11.1%
C 1
11.1%
M 1
11.1%
A 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
18.2%
o 2
18.2%
s 2
18.2%
t 1
9.1%
d 1
9.1%
e 1
9.1%
v 1
9.1%
a 1
9.1%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
, 1
25.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
80.9%
Common 96
 
15.8%
Latin 20
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
9.6%
25
 
5.1%
23
 
4.7%
23
 
4.7%
21
 
4.3%
21
 
4.3%
15
 
3.1%
12
 
2.4%
11
 
2.2%
11
 
2.2%
Other values (119) 281
57.3%
Latin
ValueCountFrequency (%)
i 2
 
10.0%
o 2
 
10.0%
s 2
 
10.0%
P 1
 
5.0%
K 1
 
5.0%
t 1
 
5.0%
d 1
 
5.0%
L 1
 
5.0%
E 1
 
5.0%
H 1
 
5.0%
Other values (7) 7
35.0%
Common
ValueCountFrequency (%)
36
37.5%
( 28
29.2%
) 28
29.2%
. 2
 
2.1%
& 1
 
1.0%
, 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 488
80.5%
ASCII 116
 
19.1%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
47
 
9.6%
25
 
5.1%
23
 
4.7%
23
 
4.7%
21
 
4.3%
21
 
4.3%
15
 
3.1%
12
 
2.5%
11
 
2.3%
11
 
2.3%
Other values (118) 279
57.2%
ASCII
ValueCountFrequency (%)
36
31.0%
( 28
24.1%
) 28
24.1%
i 2
 
1.7%
. 2
 
1.7%
o 2
 
1.7%
s 2
 
1.7%
& 1
 
0.9%
P 1
 
0.9%
K 1
 
0.9%
Other values (13) 13
 
11.2%
None
ValueCountFrequency (%)
2
100.0%

최종수정일자
Date

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2010-05-19 11:36:36
Maximum2024-04-19 09:03:40
2024-05-11T15:05:26.971138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:27.181417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
I
39 
U
21 

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 39
65.0%
U 21
35.0%

Length

2024-05-11T15:05:27.384786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:27.534687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
65.0%
u 21
35.0%
Distinct37
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:01:00
2024-05-11T15:05:27.684206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:27.851382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)73.2%
Missing4
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean209864.48
Minimum207048.64
Maximum212711.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T15:05:28.022297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207048.64
5-th percentile207651.21
Q1208917.62
median210423.27
Q3210913.81
95-th percentile211184.9
Maximum212711.71
Range5663.0762
Interquartile range (IQR)1996.192

Descriptive statistics

Standard deviation1323.5794
Coefficient of variation (CV)0.0063068292
Kurtosis-0.64357151
Mean209864.48
Median Absolute Deviation (MAD)726.24504
Skewness-0.46650326
Sum11752411
Variance1751862.5
MonotonicityNot monotonic
2024-05-11T15:05:28.199818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
210627.0 6
 
10.0%
210986.460698452 5
 
8.3%
207750.499013776 3
 
5.0%
209427.410217251 2
 
3.3%
210913.813312865 2
 
3.3%
208385.501219512 2
 
3.3%
210868.397496689 2
 
3.3%
209879.808160832 1
 
1.7%
209314.259995755 1
 
1.7%
211049.287447183 1
 
1.7%
Other values (31) 31
51.7%
(Missing) 4
 
6.7%
ValueCountFrequency (%)
207048.638189411 1
 
1.7%
207125.178244289 1
 
1.7%
207643.150920909 1
 
1.7%
207653.896362442 1
 
1.7%
207750.499013776 3
5.0%
208073.302872101 1
 
1.7%
208233.926974585 1
 
1.7%
208385.501219512 2
3.3%
208435.259671597 1
 
1.7%
208465.060418242 1
 
1.7%
ValueCountFrequency (%)
212711.714410254 1
 
1.7%
211986.297245596 1
 
1.7%
211255.759612505 1
 
1.7%
211161.275058787 1
 
1.7%
211151.280759517 1
 
1.7%
211053.119518 1
 
1.7%
211049.287447183 1
 
1.7%
210986.460698452 5
8.3%
210932.067547437 1
 
1.7%
210913.813312865 2
 
3.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)73.2%
Missing4
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean444018.92
Minimum441725.29
Maximum448105.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T15:05:28.404823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile441725.29
Q1442802.75
median444183.09
Q3445470.26
95-th percentile446022
Maximum448105.5
Range6380.2067
Interquartile range (IQR)2667.5072

Descriptive statistics

Standard deviation1561.2538
Coefficient of variation (CV)0.0035161876
Kurtosis-0.81357849
Mean444018.92
Median Absolute Deviation (MAD)1308.0944
Skewness0.20771355
Sum24865059
Variance2437513.5
MonotonicityNot monotonic
2024-05-11T15:05:28.647206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
442875.0 6
 
10.0%
441725.293491662 5
 
8.3%
445762.808120998 3
 
5.0%
445829.725943441 2
 
3.3%
442467.68769174 2
 
3.3%
444625.866948612 2
 
3.3%
442053.227933005 2
 
3.3%
448105.500206276 1
 
1.7%
446483.316079239 1
 
1.7%
442171.661862666 1
 
1.7%
Other values (31) 31
51.7%
(Missing) 4
 
6.7%
ValueCountFrequency (%)
441725.293491662 5
8.3%
442026.988783 1
 
1.7%
442053.227933005 2
 
3.3%
442171.661862666 1
 
1.7%
442338.115571068 1
 
1.7%
442377.0 1
 
1.7%
442467.68769174 2
 
3.3%
442586.0 1
 
1.7%
442875.0 6
10.0%
443181.337605475 1
 
1.7%
ValueCountFrequency (%)
448105.500206276 1
 
1.7%
446483.316079239 1
 
1.7%
446156.529775445 1
 
1.7%
445977.157638051 1
 
1.7%
445878.934526449 1
 
1.7%
445829.725943441 2
3.3%
445763.360184076 1
 
1.7%
445762.808120998 3
5.0%
445657.80932984 1
 
1.7%
445605.311832064 1
 
1.7%
Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
영화배급업
43 
<NA>
17 

Length

Max length5
Median length5
Mean length4.7166667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 43
71.7%
<NA> 17
 
28.3%

Length

2024-05-11T15:05:28.857366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:29.005954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 43
71.7%
na 17
 
28.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
0
 
1

Length

Max length4
Median length4
Mean length3.95
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
0 1
 
1.7%

Length

2024-05-11T15:05:29.175787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:29.348003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
0 1
 
1.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
0
 
1

Length

Max length4
Median length4
Mean length3.95
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
0 1
 
1.7%

Length

2024-05-11T15:05:29.510463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:29.665521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
0 1
 
1.7%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
0
 
1

Length

Max length4
Median length4
Mean length3.95
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
0 1
 
1.7%

Length

2024-05-11T15:05:29.829015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:29.951446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
0 1
 
1.7%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
0
 
1

Length

Max length4
Median length4
Mean length3.95
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
0 1
 
1.7%

Length

2024-05-11T15:05:30.126740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:30.277666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
0 1
 
1.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
0
 
1

Length

Max length4
Median length4
Mean length3.95
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
0 1
 
1.7%

Length

2024-05-11T15:05:30.426156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:30.582341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
0 1
 
1.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
0
 
1

Length

Max length4
Median length4
Mean length3.95
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
0 1
 
1.7%

Length

2024-05-11T15:05:30.763786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:30.965499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
0 1
 
1.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
0
 
1

Length

Max length4
Median length4
Mean length3.95
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
0 1
 
1.7%

Length

2024-05-11T15:05:31.126626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:31.295205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
0 1
 
1.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
0
 
1

Length

Max length4
Median length4
Mean length3.95
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
0 1
 
1.7%

Length

2024-05-11T15:05:31.434513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:31.542533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
0 1
 
1.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
0
 
1

Length

Max length4
Median length4
Mean length3.95
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
0 1
 
1.7%

Length

2024-05-11T15:05:31.686866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:31.832200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
0 1
 
1.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)100.0%
Missing17
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean20129885
Minimum19991126
Maximum20210422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T15:05:31.999158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991126
5-th percentile20003554
Q120100562
median20140509
Q320175428
95-th percentile20209169
Maximum20210422
Range219296
Interquartile range (IQR)74866.5

Descriptive statistics

Standard deviation59558.276
Coefficient of variation (CV)0.0029586993
Kurtosis-0.065924738
Mean20129885
Median Absolute Deviation (MAD)39899
Skewness-0.76216609
Sum8.6558506 × 108
Variance3.5471883 × 109
MonotonicityNot monotonic
2024-05-11T15:05:32.181183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20000219 1
 
1.7%
20180227 1
 
1.7%
20151014 1
 
1.7%
20140430 1
 
1.7%
20120828 1
 
1.7%
20180517 1
 
1.7%
20030829 1
 
1.7%
20140418 1
 
1.7%
20190424 1
 
1.7%
20190503 1
 
1.7%
Other values (33) 33
55.0%
(Missing) 17
28.3%
ValueCountFrequency (%)
19991126 1
1.7%
20000219 1
1.7%
20000523 1
1.7%
20030829 1
1.7%
20031002 1
1.7%
20050317 1
1.7%
20070615 1
1.7%
20080313 1
1.7%
20080616 1
1.7%
20081212 1
1.7%
ValueCountFrequency (%)
20210422 1
1.7%
20210112 1
1.7%
20210107 1
1.7%
20200731 1
1.7%
20200722 1
1.7%
20190906 1
1.7%
20190823 1
1.7%
20190503 1
1.7%
20190424 1
1.7%
20180517 1
1.7%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF521103199900000219991126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138180서울특별시 송파구 삼전동 **-*번지 평화빌딩 ***호서울특별시 송파구 백제고분로 ***, ***호 (삼전동,평화빌딩)<NA>(주)필림트리엔터테인먼트그룹2010-05-19 11:36:36I2018-08-31 23:59:59.0<NA>208073.302872444528.173374영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19991126<NA>
13230000CDFF521103200000000120000219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138190서울특별시 송파구 석촌동 ***-*번지 광명빌딩 ***호서울특별시 송파구 가락로 ** (석촌동,광명빌딩 ***호)<NA>(주)핑구비브이코리아2010-05-19 11:38:51I2018-08-31 23:59:59.0<NA>208977.297091444133.372859영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000219<NA>
23230000CDFF521103200000000220000523<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138051서울특별시 송파구 방이동 ***번지서울특별시 송파구 양재대로**길 *-** (방이동)<NA>(주)네오필름2010-05-19 11:40:55I2018-08-31 23:59:59.0<NA>211151.28076445470.711933영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000523<NA>
33230000CDFF521103200300000120031002<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138161서울특별시 송파구 가락동 ***번지서울특별시 송파구 송파대로**길 *-** (가락동)<NA>(주)에이앤디코리아2010-05-19 11:45:03I2018-08-31 23:59:59.0<NA>210594.365151443181.337605영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20031002<NA>
43230000CDFF521103200500000120050317<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138180서울특별시 송파구 삼전동 ***-**번지서울특별시 송파구 삼학사로 ** (삼전동)<NA>(주)미디어라인코리아2010-05-19 11:47:03I2018-08-31 23:59:59.0<NA>208465.060418444232.81596영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050317<NA>
53230000CDFF521103200700000120070615<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138051서울특별시 송파구 방이동 ***-**번지서울특별시 송파구 위례성대로 ** (방이동)<NA>(주)쌈지2010-05-19 11:48:35I2018-08-31 23:59:59.0<NA>210370.535345445878.934526영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070615<NA>
63230000CDFF521103201000000120100524<NA>3폐업3폐업20220817<NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파동 ** 부영빌딩 ***호서울특별시 송파구 백제고분로**길 **, ***호 (송파동,부영빌딩)<NA>(주)킴스라이센싱2022-08-18 08:59:49U2021-12-07 22:00:00.0<NA>209321.684929445226.713606<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73230000CDFF521103201000000220100610<NA>1영업/정상13영업중<NA><NA><NA><NA>3404-2811<NA><NA>서울특별시 송파구 신천동 *-**번지 한국광고문화회관 **층<NA><NA>(주)씨앤마케팅서비스2010-06-10 09:19:17I2018-08-31 23:59:59.0<NA>208738.593846445977.157638영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100610<NA>
83230000CDFF521103201100000120110120<NA>3폐업3폐업20140129<NA><NA><NA>02-6053-9018<NA>138712서울특별시 송파구 가락동 **-*번지 밀리아나*차 오피스텔 ***호서울특별시 송파구 송파대로**길 **, ***호 (가락동, 밀리아나*차 오피스텔)138712주식회사 에스피아픽쳐스2014-02-03 10:17:11I2018-08-31 23:59:59.0<NA>210491.68889443508.221246영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110120<NA>
93230000CDFF521103201100000220110216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 ***-*번지 옥동아트 ***서울특별시 송파구 백제고분로**길 **-** (삼전동,옥동아트 ***)<NA>골든타이드픽처스2011-02-16 17:31:50I2018-08-31 23:59:59.0<NA>208435.259672444595.002552영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110216<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
503230000CDFF52110320220000042022-05-31<NA>5제외/삭제/전출15전출2024-04-19<NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 ***-* 갑을아파트서울특별시 송파구 한가람로 ***, ***호 (풍납동, 갑을아파트)5525주식회사 영화사 륙2024-04-19 09:03:40U2023-12-03 22:01:00.0<NA>209879.808161448105.500206<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513230000CDFF521103202200000520220727<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 ***-** 다옴서울특별시 송파구 송파대로**길 *-**, 다옴 (석촌동)5697주식회사 올림포스네트웍스2022-07-27 09:41:28I2021-12-06 22:09:00.0<NA>209698.790673444282.257935<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523230000CDFF521103202200000620220812<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ***-* 유나프라자서울특별시 송파구 중대로 ***, 유나프라자 *층 (가락동)5828㈜매드아티스트픽쳐스2022-08-12 09:59:45I2021-12-07 23:04:00.0<NA>210898.806666443665.880577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533230000CDFF52110320230000012022-09-29<NA>5제외/삭제/전출15전출2023-07-12<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 문정에스케이브이원지엘메트로시티서울특별시 송파구 법원로 ***, 문정에스케이브이원지엘메트로시티 *층 ***-***호 (문정동)5854주식회사 메타플로스튜디오2023-07-12 14:44:31U2022-12-06 23:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543230000CDFF52110320230000022015-08-20<NA>5제외/삭제/전출15전출2024-02-23<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 파크하비오서울특별시 송파구 송파대로 ***, ***동 *층 A***호 (문정동, 파크하비오)5837(주)영화사 안다미로2024-02-23 15:03:51U2023-12-01 22:05:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553230000CDFF52110320230000032023-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-471-7908<NA><NA>서울특별시 송파구 문정동 ***-* 문정역SKV*서울특별시 송파구 법원로 ***, 문정역SKV* B동 G***호 (문정동)5854(주) 두리컴미디어2023-03-28 09:25:12I2022-12-02 21:00:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563230000CDFF52110320230000042018-06-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 파크하비오서울특별시 송파구 송파대로 ***, ***동 C***호 (문정동, 파크하비오)5837(주)퍼플스트로우필름2023-07-28 10:07:59I2022-12-06 21:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573230000CDFF52110320230000062023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 *** 거여*단지아파트서울특별시 송파구 양산로*길 *, ***동 ***호 (거여동, 거여*단지아파트)5779온포인트2023-12-22 15:04:56I2022-11-01 22:04:00.0<NA>212711.71441443202.356789<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583230000CDFF52110320230000072023-12-26<NA>1영업/정상13영업중<NA><NA><NA><NA>024130107<NA><NA>서울특별시 송파구 방이동 **-* 잠실리시온서울특별시 송파구 오금로 **, 잠실리시온 ***호 (방이동)5542(주)영화특별시에스엠씨2023-12-26 14:54:09I2022-11-01 22:08:00.0<NA>209427.410217445829.725943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593230000CDFF52110320240000012024-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4422-0227<NA><NA>서울특별시 송파구 가락동 **-**서울특별시 송파구 송파대로**길 *-*, 지층 (가락동)5711주식회사 인벤티스2024-01-12 18:04:25I2023-11-30 23:04:00.0<NA>210354.846996443607.576138<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>