Overview

Dataset statistics

Number of variables56
Number of observations69
Missing cells1979
Missing cells (%)51.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.1 KiB
Average record size in memory491.9 B

Variable types

Categorical16
Text6
DateTime4
Unsupported27
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17645/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 69 (100.0%) missing valuesMissing
폐업일자 has 52 (75.4%) missing valuesMissing
휴업시작일자 has 69 (100.0%) missing valuesMissing
휴업종료일자 has 69 (100.0%) missing valuesMissing
재개업일자 has 69 (100.0%) missing valuesMissing
전화번호 has 32 (46.4%) missing valuesMissing
소재지면적 has 69 (100.0%) missing valuesMissing
소재지우편번호 has 69 (100.0%) missing valuesMissing
도로명우편번호 has 13 (18.8%) missing valuesMissing
업태구분명 has 69 (100.0%) missing valuesMissing
문화사업자구분명 has 69 (100.0%) missing valuesMissing
주변환경명 has 69 (100.0%) missing valuesMissing
제작취급품목내용 has 69 (100.0%) missing valuesMissing
건물용도명 has 69 (100.0%) missing valuesMissing
비상계단여부 has 69 (100.0%) missing valuesMissing
비상구여부 has 69 (100.0%) missing valuesMissing
자동환기여부 has 69 (100.0%) missing valuesMissing
청소년실여부 has 69 (100.0%) missing valuesMissing
특수조명여부 has 69 (100.0%) missing valuesMissing
방음시설여부 has 69 (100.0%) missing valuesMissing
비디오재생기명 has 69 (100.0%) missing valuesMissing
조명시설유무 has 69 (100.0%) missing valuesMissing
음향시설여부 has 69 (100.0%) missing valuesMissing
편의시설여부 has 69 (100.0%) missing valuesMissing
소방시설여부 has 69 (100.0%) missing valuesMissing
기존게임업외업종명 has 69 (100.0%) missing valuesMissing
제공게임물명 has 69 (100.0%) missing valuesMissing
공연장형태구분명 has 69 (100.0%) missing valuesMissing
품목명 has 69 (100.0%) missing valuesMissing
최초등록시점 has 19 (27.5%) missing valuesMissing
지역구분명 has 69 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 04:12:56.827765
Analysis finished2024-05-11 04:12:58.808271
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
3180000
69 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 69
100.0%

Length

2024-05-11T04:12:59.134176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:59.616940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 69
100.0%

관리번호
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T04:13:00.319051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1380
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

Unique69 ?
Unique (%)100.0%

Sample

1st rowCDFF5211032000000001
2nd rowCDFF5211032000000002
3rd rowCDFF5211032001000001
4th rowCDFF5211032004000001
5th rowCDFF5211032008000001
ValueCountFrequency (%)
cdff5211032000000001 1
 
1.4%
cdff5211032015000008 1
 
1.4%
cdff5211032020000002 1
 
1.4%
cdff5211032020000001 1
 
1.4%
cdff5211032019000004 1
 
1.4%
cdff5211032019000003 1
 
1.4%
cdff5211032019000002 1
 
1.4%
cdff5211032019000001 1
 
1.4%
cdff5211032018000004 1
 
1.4%
cdff5211032018000005 1
 
1.4%
Other values (59) 59
85.5%
2024-05-11T04:13:01.723101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 500
36.2%
1 205
14.9%
2 176
 
12.8%
F 138
 
10.0%
3 96
 
7.0%
5 84
 
6.1%
C 69
 
5.0%
D 69
 
5.0%
4 16
 
1.2%
8 8
 
0.6%
Other values (3) 19
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1104
80.0%
Uppercase Letter 276
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 500
45.3%
1 205
18.6%
2 176
 
15.9%
3 96
 
8.7%
5 84
 
7.6%
4 16
 
1.4%
8 8
 
0.7%
9 7
 
0.6%
6 6
 
0.5%
7 6
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1104
80.0%
Latin 276
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 500
45.3%
1 205
18.6%
2 176
 
15.9%
3 96
 
8.7%
5 84
 
7.6%
4 16
 
1.4%
8 8
 
0.7%
9 7
 
0.6%
6 6
 
0.5%
7 6
 
0.5%
Latin
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 500
36.2%
1 205
14.9%
2 176
 
12.8%
F 138
 
10.0%
3 96
 
7.0%
5 84
 
6.1%
C 69
 
5.0%
D 69
 
5.0%
4 16
 
1.2%
8 8
 
0.6%
Other values (3) 19
 
1.4%

인허가일자
Date

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1999-09-04 00:00:00
Maximum2024-02-27 00:00:00
2024-05-11T04:13:02.242965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:13:02.905983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
1
52 
3
14 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 52
75.4%
3 14
 
20.3%
5 3
 
4.3%

Length

2024-05-11T04:13:03.560356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:04.004181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 52
75.4%
3 14
 
20.3%
5 3
 
4.3%

영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
영업/정상
52 
폐업
14 
제외/삭제/전출
 
3

Length

Max length8
Median length5
Mean length4.5217391
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 52
75.4%
폐업 14
 
20.3%
제외/삭제/전출 3
 
4.3%

Length

2024-05-11T04:13:04.557923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:04.971761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 52
75.4%
폐업 14
 
20.3%
제외/삭제/전출 3
 
4.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
13
52 
3
14 
15
 
3

Length

Max length2
Median length2
Mean length1.7971014
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 52
75.4%
3 14
 
20.3%
15 3
 
4.3%

Length

2024-05-11T04:13:05.500214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:05.951777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 52
75.4%
3 14
 
20.3%
15 3
 
4.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
영업중
52 
폐업
14 
전출
 
3

Length

Max length3
Median length3
Mean length2.7536232
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 52
75.4%
폐업 14
 
20.3%
전출 3
 
4.3%

Length

2024-05-11T04:13:06.463300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:06.943846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 52
75.4%
폐업 14
 
20.3%
전출 3
 
4.3%

폐업일자
Date

MISSING 

Distinct17
Distinct (%)100.0%
Missing52
Missing (%)75.4%
Memory size684.0 B
Minimum2011-05-23 00:00:00
Maximum2024-01-15 00:00:00
2024-05-11T04:13:07.440953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:13:08.046268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

전화번호
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing32
Missing (%)46.4%
Memory size684.0 B
2024-05-11T04:13:08.790941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.459459
Min length8

Characters and Unicode

Total characters387
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row761-8111
2nd row783-3673
3rd row6670-5400
4th row761-9761
5th row02-780-0042
ValueCountFrequency (%)
02-784-0108 1
 
2.7%
2655-9433 1
 
2.7%
6242-1898 1
 
2.7%
3443-2574 1
 
2.7%
02-849-5670 1
 
2.7%
02-780-2051 1
 
2.7%
027612551 1
 
2.7%
02-780-2520 1
 
2.7%
02-2284-3911 1
 
2.7%
02-2254-0517 1
 
2.7%
Other values (27) 27
73.0%
2024-05-11T04:13:10.196053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
15.2%
- 58
15.0%
2 50
12.9%
7 38
9.8%
1 32
8.3%
8 30
7.8%
6 29
7.5%
5 24
6.2%
3 23
 
5.9%
4 22
 
5.7%
Other values (2) 22
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 327
84.5%
Dash Punctuation 58
 
15.0%
Close Punctuation 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
18.0%
2 50
15.3%
7 38
11.6%
1 32
9.8%
8 30
9.2%
6 29
8.9%
5 24
7.3%
3 23
 
7.0%
4 22
 
6.7%
9 20
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 387
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
15.2%
- 58
15.0%
2 50
12.9%
7 38
9.8%
1 32
8.3%
8 30
7.8%
6 29
7.5%
5 24
6.2%
3 23
 
5.9%
4 22
 
5.7%
Other values (2) 22
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 387
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
15.2%
- 58
15.0%
2 50
12.9%
7 38
9.8%
1 32
8.3%
8 30
7.8%
6 29
7.5%
5 24
6.2%
3 23
 
5.9%
4 22
 
5.7%
Other values (2) 22
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

지번주소
Text

Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T04:13:10.908734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length33
Mean length28.550725
Min length20

Characters and Unicode

Total characters1970
Distinct characters137
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)84.1%

Sample

1st row서울특별시 영등포구 여의도동 **번지 CCMM빌딩
2nd row서울특별시 영등포구 여의도동 **-**번지
3rd row서울특별시 영등포구 당산동*가 ***번지
4th row서울특별시 영등포구 여의도동 **번지 두레빌딩*층
5th row서울특별시 영등포구 여의도동 **-*번지 한국스카우트연맹회관 *층
ValueCountFrequency (%)
서울특별시 69
19.1%
영등포구 69
19.1%
번지 40
11.0%
여의도동 37
10.2%
29
8.0%
호 17
 
4.7%
당산동*가 10
 
2.8%
층 8
 
2.2%
영등포동*가 6
 
1.7%
양평동*가 6
 
1.7%
Other values (57) 71
19.6%
2024-05-11T04:13:12.137234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
16.6%
* 318
16.1%
영 76
 
3.9%
등 75
 
3.8%
포 75
 
3.8%
서 73
 
3.7%
동 73
 
3.7%
울 73
 
3.7%
시 71
 
3.6%
특 69
 
3.5%
Other values (127) 740
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1262
64.1%
Space Separator 327
 
16.6%
Other Punctuation 319
 
16.2%
Dash Punctuation 43
 
2.2%
Uppercase Letter 12
 
0.6%
Lowercase Letter 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 76
 
6.0%
등 75
 
5.9%
포 75
 
5.9%
서 73
 
5.8%
동 73
 
5.8%
울 73
 
5.8%
시 71
 
5.6%
특 69
 
5.5%
별 69
 
5.5%
구 69
 
5.5%
Other values (110) 539
42.7%
Uppercase Letter
ValueCountFrequency (%)
K 3
25.0%
M 2
16.7%
C 2
16.7%
W 1
 
8.3%
B 1
 
8.3%
V 1
 
8.3%
S 1
 
8.3%
A 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
n 2
28.6%
e 2
28.6%
r 1
14.3%
t 1
14.3%
c 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 318
99.7%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1262
64.1%
Common 689
35.0%
Latin 19
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 76
 
6.0%
등 75
 
5.9%
포 75
 
5.9%
서 73
 
5.8%
동 73
 
5.8%
울 73
 
5.8%
시 71
 
5.6%
특 69
 
5.5%
별 69
 
5.5%
구 69
 
5.5%
Other values (110) 539
42.7%
Latin
ValueCountFrequency (%)
K 3
15.8%
M 2
10.5%
C 2
10.5%
n 2
10.5%
e 2
10.5%
W 1
 
5.3%
r 1
 
5.3%
t 1
 
5.3%
c 1
 
5.3%
B 1
 
5.3%
Other values (3) 3
15.8%
Common
ValueCountFrequency (%)
327
47.5%
* 318
46.2%
- 43
 
6.2%
? 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1262
64.1%
ASCII 708
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
327
46.2%
* 318
44.9%
- 43
 
6.1%
K 3
 
0.4%
M 2
 
0.3%
C 2
 
0.3%
n 2
 
0.3%
e 2
 
0.3%
W 1
 
0.1%
r 1
 
0.1%
Other values (7) 7
 
1.0%
Hangul
ValueCountFrequency (%)
영 76
 
6.0%
등 75
 
5.9%
포 75
 
5.9%
서 73
 
5.8%
동 73
 
5.8%
울 73
 
5.8%
시 71
 
5.6%
특 69
 
5.5%
별 69
 
5.5%
구 69
 
5.5%
Other values (110) 539
42.7%

도로명주소
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T04:13:12.885470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length39.724638
Min length24

Characters and Unicode

Total characters2741
Distinct characters171
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

Unique67 ?
Unique (%)97.1%

Sample

1st row서울특별시 영등포구 여의공원로 *** (여의도동,CCMM빌딩)
2nd row서울특별시 영등포구 은행로 ** (여의도동)
3rd row서울특별시 영등포구 당산로 *** (당산동*가)
4th row서울특별시 영등포구 국제금융로*길 * (여의도동,두레빌딩*층)
5th row서울특별시 영등포구 국회대로**길 ** (여의도동,한국스카우트연맹회관 *층)
ValueCountFrequency (%)
70
14.7%
서울특별시 69
14.5%
영등포구 69
14.5%
호 40
 
8.4%
여의도동 28
 
5.9%
층 25
 
5.2%
국회대로**길 12
 
2.5%
당산동*가 10
 
2.1%
영등포동*가 6
 
1.3%
여의대방로**길 6
 
1.3%
Other values (104) 142
29.8%
2024-05-11T04:13:14.264233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 447
 
16.3%
419
 
15.3%
영 81
 
3.0%
, 81
 
3.0%
동 78
 
2.8%
등 77
 
2.8%
포 77
 
2.8%
서 72
 
2.6%
로 71
 
2.6%
울 71
 
2.6%
Other values (161) 1267
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1619
59.1%
Other Punctuation 529
 
19.3%
Space Separator 419
 
15.3%
Open Punctuation 69
 
2.5%
Close Punctuation 69
 
2.5%
Uppercase Letter 17
 
0.6%
Dash Punctuation 11
 
0.4%
Lowercase Letter 7
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 81
 
5.0%
동 78
 
4.8%
등 77
 
4.8%
포 77
 
4.8%
서 72
 
4.4%
로 71
 
4.4%
울 71
 
4.4%
시 71
 
4.4%
특 69
 
4.3%
구 69
 
4.3%
Other values (138) 883
54.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
17.6%
A 3
17.6%
K 3
17.6%
M 2
11.8%
S 1
 
5.9%
V 1
 
5.9%
I 1
 
5.9%
F 1
 
5.9%
W 1
 
5.9%
B 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
n 2
28.6%
e 2
28.6%
c 1
14.3%
t 1
14.3%
r 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 447
84.5%
, 81
 
15.3%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
419
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1619
59.1%
Common 1098
40.1%
Latin 24
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 81
 
5.0%
동 78
 
4.8%
등 77
 
4.8%
포 77
 
4.8%
서 72
 
4.4%
로 71
 
4.4%
울 71
 
4.4%
시 71
 
4.4%
특 69
 
4.3%
구 69
 
4.3%
Other values (138) 883
54.5%
Latin
ValueCountFrequency (%)
C 3
12.5%
A 3
12.5%
K 3
12.5%
n 2
 
8.3%
e 2
 
8.3%
M 2
 
8.3%
c 1
 
4.2%
S 1
 
4.2%
V 1
 
4.2%
I 1
 
4.2%
Other values (5) 5
20.8%
Common
ValueCountFrequency (%)
* 447
40.7%
419
38.2%
, 81
 
7.4%
( 69
 
6.3%
) 69
 
6.3%
- 11
 
1.0%
~ 1
 
0.1%
? 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1619
59.1%
ASCII 1122
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 447
39.8%
419
37.3%
, 81
 
7.2%
( 69
 
6.1%
) 69
 
6.1%
- 11
 
1.0%
C 3
 
0.3%
A 3
 
0.3%
K 3
 
0.3%
n 2
 
0.2%
Other values (13) 15
 
1.3%
Hangul
ValueCountFrequency (%)
영 81
 
5.0%
동 78
 
4.8%
등 77
 
4.8%
포 77
 
4.8%
서 72
 
4.4%
로 71
 
4.4%
울 71
 
4.4%
시 71
 
4.4%
특 69
 
4.3%
구 69
 
4.3%
Other values (138) 883
54.5%

도로명우편번호
Text

MISSING 

Distinct37
Distinct (%)66.1%
Missing13
Missing (%)18.8%
Memory size684.0 B
2024-05-11T04:13:14.951520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3571429
Min length5

Characters and Unicode

Total characters300
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

Unique28 ?
Unique (%)50.0%

Sample

1st row07333
2nd row07238
3rd row07288
4th row150037
5th row150891
ValueCountFrequency (%)
07326 5
 
8.9%
07333 5
 
8.9%
07256 4
 
7.1%
07238 3
 
5.4%
150010 3
 
5.4%
150891 2
 
3.6%
150903 2
 
3.6%
07290 2
 
3.6%
07202 2
 
3.6%
07420 1
 
1.8%
Other values (27) 27
48.2%
2024-05-11T04:13:16.463793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
26.0%
7 47
15.7%
3 38
12.7%
2 33
11.0%
1 33
11.0%
5 28
 
9.3%
8 16
 
5.3%
6 12
 
4.0%
9 9
 
3.0%
4 5
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 299
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
26.1%
7 47
15.7%
3 38
12.7%
2 33
11.0%
1 33
11.0%
5 28
 
9.4%
8 16
 
5.4%
6 12
 
4.0%
9 9
 
3.0%
4 5
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
26.0%
7 47
15.7%
3 38
12.7%
2 33
11.0%
1 33
11.0%
5 28
 
9.3%
8 16
 
5.3%
6 12
 
4.0%
9 9
 
3.0%
4 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
26.0%
7 47
15.7%
3 38
12.7%
2 33
11.0%
1 33
11.0%
5 28
 
9.3%
8 16
 
5.3%
6 12
 
4.0%
9 9
 
3.0%
4 5
 
1.7%

사업장명
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T04:13:17.137121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length17
Mean length10.028986
Min length3

Characters and Unicode

Total characters692
Distinct characters179
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)97.1%

Sample

1st row넥스트미디어코퍼레이션㈜
2nd row한국영상투자개발㈜
3rd row㈜미디어렉스
4th row지아이씨엔터테인먼트㈜
5th row㈜케니앤코엔터테인먼트
ValueCountFrequency (%)
주식회사 24
 
20.9%
주 4
 
3.5%
film 2
 
1.7%
유한회사 2
 
1.7%
주)엠티에스정보기술 2
 
1.7%
뉴크마그 1
 
0.9%
스튜디오타겟 1
 
0.9%
풀 1
 
0.9%
영화사 1
 
0.9%
주)지엠아이네트웍스 1
 
0.9%
Other values (76) 76
66.1%
2024-05-11T04:13:18.590592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
6.6%
주 44
 
6.4%
사 29
 
4.2%
회 27
 
3.9%
식 25
 
3.6%
스 24
 
3.5%
( 24
 
3.5%
) 24
 
3.5%
이 21
 
3.0%
트 15
 
2.2%
Other values (169) 413
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 534
77.2%
Space Separator 46
 
6.6%
Lowercase Letter 42
 
6.1%
Open Punctuation 24
 
3.5%
Close Punctuation 24
 
3.5%
Uppercase Letter 9
 
1.3%
Other Symbol 8
 
1.2%
Decimal Number 4
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
8.2%
사 29
 
5.4%
회 27
 
5.1%
식 25
 
4.7%
스 24
 
4.5%
이 21
 
3.9%
트 15
 
2.8%
인 10
 
1.9%
아 9
 
1.7%
로 9
 
1.7%
Other values (135) 321
60.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
16.7%
o 5
11.9%
m 3
 
7.1%
i 3
 
7.1%
y 3
 
7.1%
s 3
 
7.1%
n 3
 
7.1%
d 3
 
7.1%
r 2
 
4.8%
l 2
 
4.8%
Other values (8) 8
19.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
I 1
11.1%
O 1
11.1%
U 1
11.1%
W 1
11.1%
F 1
11.1%
S 1
11.1%
M 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
6 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
78.3%
Common 99
 
14.3%
Latin 51
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 44
 
8.1%
사 29
 
5.4%
회 27
 
5.0%
식 25
 
4.6%
스 24
 
4.4%
이 21
 
3.9%
트 15
 
2.8%
인 10
 
1.8%
아 9
 
1.7%
로 9
 
1.7%
Other values (136) 329
60.7%
Latin
ValueCountFrequency (%)
e 7
13.7%
o 5
 
9.8%
m 3
 
5.9%
i 3
 
5.9%
y 3
 
5.9%
s 3
 
5.9%
n 3
 
5.9%
d 3
 
5.9%
r 2
 
3.9%
l 2
 
3.9%
Other values (16) 17
33.3%
Common
ValueCountFrequency (%)
46
46.5%
( 24
24.2%
) 24
24.2%
1 2
 
2.0%
6 1
 
1.0%
4 1
 
1.0%
. 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 534
77.2%
ASCII 150
 
21.7%
None 8
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
30.7%
( 24
16.0%
) 24
16.0%
e 7
 
4.7%
o 5
 
3.3%
m 3
 
2.0%
i 3
 
2.0%
y 3
 
2.0%
s 3
 
2.0%
n 3
 
2.0%
Other values (23) 29
19.3%
Hangul
ValueCountFrequency (%)
주 44
 
8.2%
사 29
 
5.4%
회 27
 
5.1%
식 25
 
4.7%
스 24
 
4.5%
이 21
 
3.9%
트 15
 
2.8%
인 10
 
1.9%
아 9
 
1.7%
로 9
 
1.7%
Other values (135) 321
60.1%
None
ValueCountFrequency (%)
㈜ 8
100.0%

최종수정일자
Date

Distinct63
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2010-04-30 13:51:59
Maximum2024-02-27 13:00:13
2024-05-11T04:13:19.205298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:13:19.723825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
I
46 
U
23 

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 46
66.7%
U 23
33.3%

Length

2024-05-11T04:13:20.292441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:20.693974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 46
66.7%
u 23
33.3%

데이터갱신일자
Date

Distinct37
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:05:00
2024-05-11T04:13:21.207487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:13:21.804502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

좌표정보(X)
Real number (ℝ)

Distinct57
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192250.4
Minimum189921.67
Maximum194530.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T04:13:22.382572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189921.67
5-th percentile190153.13
Q1190824.79
median192786
Q3193326.93
95-th percentile193759.7
Maximum194530.54
Range4608.8635
Interquartile range (IQR)2502.139

Descriptive statistics

Standard deviation1331.7646
Coefficient of variation (CV)0.0069272394
Kurtosis-1.4360663
Mean192250.4
Median Absolute Deviation (MAD)908.66705
Skewness-0.36179825
Sum13265278
Variance1773596.8
MonotonicityNot monotonic
2024-05-11T04:13:22.919929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193326.931018911 5
 
7.2%
190586.062540107 4
 
5.8%
193694.665015597 3
 
4.3%
190153.128546656 2
 
2.9%
193617.653140632 2
 
2.9%
193329.974382106 2
 
2.9%
190325.849378028 1
 
1.4%
190520.71717929 1
 
1.4%
192883.820838805 1
 
1.4%
192870.536136054 1
 
1.4%
Other values (47) 47
68.1%
ValueCountFrequency (%)
189921.671894763 1
 
1.4%
190063.218859643 1
 
1.4%
190146.79444215 1
 
1.4%
190153.128546656 2
2.9%
190325.849378028 1
 
1.4%
190341.520905826 1
 
1.4%
190438.656287026 1
 
1.4%
190483.297508855 1
 
1.4%
190520.71717929 1
 
1.4%
190586.062540107 4
5.8%
ValueCountFrequency (%)
194530.535390096 1
 
1.4%
193975.352607885 1
 
1.4%
193818.18014 1
 
1.4%
193787.762269762 1
 
1.4%
193717.614335836 1
 
1.4%
193694.665015597 3
4.3%
193617.653140632 2
2.9%
193616.796239252 1
 
1.4%
193501.453598102 1
 
1.4%
193474.240829093 1
 
1.4%

좌표정보(Y)
Real number (ℝ)

Distinct57
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446796.09
Minimum443068.01
Maximum448779.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T04:13:23.463808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443068.01
5-th percentile444764.63
Q1446421.26
median446973.91
Q3447448.34
95-th percentile448122.94
Maximum448779.57
Range5711.5656
Interquartile range (IQR)1027.0782

Descriptive statistics

Standard deviation1015.6428
Coefficient of variation (CV)0.0022731684
Kurtosis3.7829663
Mean446796.09
Median Absolute Deviation (MAD)524.36838
Skewness-1.4381
Sum30828930
Variance1031530.2
MonotonicityNot monotonic
2024-05-11T04:13:23.896239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446973.914570276 5
 
7.2%
447216.925498911 4
 
5.8%
446449.546192539 3
 
4.3%
448779.57454276 2
 
2.9%
446421.26472279 2
 
2.9%
445737.514716371 2
 
2.9%
447033.873479894 1
 
1.4%
445830.117339754 1
 
1.4%
447484.878116314 1
 
1.4%
447546.574774609 1
 
1.4%
Other values (47) 47
68.1%
ValueCountFrequency (%)
443068.008897212 1
1.4%
443621.154018278 1
1.4%
444047.381783446 1
1.4%
444116.036858351 1
1.4%
445737.514716371 2
2.9%
445751.21321748 1
1.4%
445830.117339754 1
1.4%
445887.9008514 1
1.4%
445990.538307199 1
1.4%
446305.904130001 1
1.4%
ValueCountFrequency (%)
448779.57454276 2
2.9%
448436.126322646 1
1.4%
448224.111919951 1
1.4%
447971.172891405 1
1.4%
447654.109730816 1
1.4%
447628.862085473 1
1.4%
447611.552045596 1
1.4%
447609.667319661 1
1.4%
447585.389404675 1
1.4%
447546.574774609 1
1.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
영화배급업
50 
<NA>
19 

Length

Max length5
Median length5
Mean length4.7246377
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:24.308302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:24.604470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 50
72.5%
na 19
 
27.5%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

총층수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
<NA>
19 

Length

Max length4
Median length1
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:24.975244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:25.357840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
na 19
 
27.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

시설면적
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
<NA>
19 

Length

Max length4
Median length1
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:25.798624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:26.136117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
na 19
 
27.5%

지상층수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
<NA>
19 

Length

Max length4
Median length1
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:26.504294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:26.790962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
na 19
 
27.5%

지하층수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
<NA>
19 

Length

Max length4
Median length1
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:27.258128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:27.619389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
na 19
 
27.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

통로너비
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
<NA>
19 

Length

Max length4
Median length1
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:28.348059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:29.135561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
na 19
 
27.5%

조명시설조도
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
<NA>
19 

Length

Max length4
Median length1
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:29.667221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:29.993289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
na 19
 
27.5%

노래방실수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
<NA>
19 

Length

Max length4
Median length1
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:30.418817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:30.884384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
na 19
 
27.5%

청소년실수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
<NA>
19 

Length

Max length4
Median length1
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:31.284020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:31.660736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
na 19
 
27.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

총게임기수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
50 
<NA>
19 

Length

Max length4
Median length1
Mean length1.826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
72.5%
<NA> 19
 
27.5%

Length

2024-05-11T04:13:32.052617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:13:32.393152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
72.5%
na 19
 
27.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)100.0%
Missing19
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean20126431
Minimum19990904
Maximum20210629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T04:13:32.809233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990904
5-th percentile20005340
Q120110348
median20130668
Q320151052
95-th percentile20200279
Maximum20210629
Range219725
Interquartile range (IQR)40704.75

Descriptive statistics

Standard deviation52652.181
Coefficient of variation (CV)0.0026160714
Kurtosis0.8136022
Mean20126431
Median Absolute Deviation (MAD)20439.5
Skewness-0.82222961
Sum1.0063216 × 109
Variance2.7722522 × 109
MonotonicityNot monotonic
2024-05-11T04:13:33.189092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180418 1
 
1.4%
20141015 1
 
1.4%
20141024 1
 
1.4%
20150211 1
 
1.4%
20140613 1
 
1.4%
20150601 1
 
1.4%
20151203 1
 
1.4%
20150317 1
 
1.4%
20131114 1
 
1.4%
20170224 1
 
1.4%
Other values (40) 40
58.0%
(Missing) 19
27.5%
ValueCountFrequency (%)
19990904 1
1.4%
20000520 1
1.4%
20000531 1
1.4%
20011218 1
1.4%
20040303 1
1.4%
20080313 1
1.4%
20080602 1
1.4%
20081007 1
1.4%
20090312 1
1.4%
20090615 1
1.4%
ValueCountFrequency (%)
20210629 1
1.4%
20210513 1
1.4%
20200409 1
1.4%
20200120 1
1.4%
20200103 1
1.4%
20190528 1
1.4%
20180912 1
1.4%
20180706 1
1.4%
20180418 1
1.4%
20170417 1
1.4%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF521103200000000120000520<NA>1영업/정상13영업중<NA><NA><NA><NA>761-8111<NA><NA>서울특별시 영등포구 여의도동 **번지 CCMM빌딩서울특별시 영등포구 여의공원로 *** (여의도동,CCMM빌딩)<NA>넥스트미디어코퍼레이션㈜2010-04-30 13:51:59I2018-08-31 23:59:59.0<NA>193293.251953447448.342915영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20000520<NA>
13180000CDFF521103200000000220000531<NA>3폐업3폐업20180704<NA><NA><NA>783-3673<NA><NA>서울특별시 영등포구 여의도동 **-**번지서울특별시 영등포구 은행로 ** (여의도동)<NA>한국영상투자개발㈜2018-07-05 10:54:05I2018-08-31 23:59:59.0<NA>192878.662783447300.253428영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20000531<NA>
23180000CDFF521103200100000120011218<NA>1영업/정상13영업중<NA><NA><NA><NA>6670-5400<NA><NA>서울특별시 영등포구 당산동*가 ***번지서울특별시 영등포구 당산로 *** (당산동*가)<NA>㈜미디어렉스2010-04-30 13:52:00I2018-08-31 23:59:59.0<NA>190816.181936446993.629325영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20011218<NA>
33180000CDFF521103200400000120040303<NA>1영업/정상13영업중<NA><NA><NA><NA>761-9761<NA><NA>서울특별시 영등포구 여의도동 **번지 두레빌딩*층서울특별시 영등포구 국제금융로*길 * (여의도동,두레빌딩*층)<NA>지아이씨엔터테인먼트㈜2010-04-30 13:52:00I2018-08-31 23:59:59.0<NA>193466.508883446931.44364영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20040303<NA>
43180000CDFF521103200800000120080313<NA>3폐업3폐업20161229<NA><NA><NA>02-780-0042<NA><NA>서울특별시 영등포구 여의도동 **-*번지 한국스카우트연맹회관 *층서울특별시 영등포구 국회대로**길 ** (여의도동,한국스카우트연맹회관 *층)<NA>㈜케니앤코엔터테인먼트2016-12-30 10:39:46I2018-08-31 23:59:59.0<NA>192549.197013447167.254347영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20080313<NA>
53180000CDFF521103200800000220080602<NA>1영업/정상13영업중<NA><NA><NA><NA>3278-3516<NA><NA>서울특별시 영등포구 여의도동 **-**번지 한국가정법률상담소빌딩 *층서울특별시 영등포구 국회대로**가길 ** (여의도동,한국가정법률상담소빌딩 *층)<NA>㈜올리브나인2010-04-30 13:52:00I2018-08-31 23:59:59.0<NA>193246.603767447609.66732영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20080602<NA>
63180000CDFF521103200800000320081007<NA>1영업/정상13영업중<NA><NA><NA><NA>02)784-1497<NA><NA>서울특별시 영등포구 여의도동 **-**번지 신태진빌딩 *층서울특별시 영등포구 국회대로**길 * (여의도동,신태진빌딩 *층)<NA>㈜메이트원2010-04-30 13:52:00I2018-08-31 23:59:59.0<NA>192525.855541447287.521246영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20081007<NA>
73180000CDFF521103200900000120090312<NA>1영업/정상13영업중<NA><NA><NA><NA>02-785-0139<NA><NA>서울특별시 영등포구 여의도동 **-**번지 대산빌딩 ***서울특별시 영등포구 국회대로**길 ** (여의도동,대산빌딩 ***)<NA>신현원프로덕션2010-04-30 13:52:00I2018-08-31 23:59:59.0<NA>192852.010701447460.202083영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20090312<NA>
83180000CDFF521103200900000320090615<NA>1영업/정상13영업중<NA><NA><NA><NA>02-784-0108<NA><NA>서울특별시 영등포구 여의도동 **번지 백상빌딩 ***호서울특별시 영등포구 국제금융로*길 ** (여의도동,백상빌딩 ***호)<NA>스타필름2010-04-30 13:52:00I2018-08-31 23:59:59.0<NA>193474.240829446636.663615영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20090615<NA>
93180000CDFF521103200900000620091106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-780-9981<NA><NA>서울특별시 영등포구 여의도동 **-*번지 대우매종리브로 ****호서울특별시 영등포구 의사당대로*길 ** (여의도동,대우매종리브로 ****호)<NA>㈜필림이지이엔티2010-04-30 13:52:00I2018-08-31 23:59:59.0<NA>193616.796239446333.48265영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20091106<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
593180000CDFF521103202200000220210723<NA>1영업/정상13영업중<NA><NA><NA><NA>02-780-6907<NA><NA>서울특별시 영등포구 여의도동 **-** 제일빌딩서울특별시 영등포구 여의대방로 ***, 제일빌딩 ***호 (여의도동)07333주식회사 케이팝스타2022-04-06 12:41:46I2021-12-04 00:07:00.0<NA>193818.18014446332.089777<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603180000CDFF52110320220000032021-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 ** 서울국제금융센터 투아이에프씨서울특별시 영등포구 국제금융로 **, 서울국제금융센터 투아이에프씨 **층 ****호 (여의도동)07326(주)라프텔2024-01-07 11:53:57U2023-12-01 00:09:00.0<NA>193326.931019446973.91457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613180000CDFF52110320230000012023-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3667-1189<NA><NA>서울특별시 영등포구 문래동*가 **-* 대철빌딩서울특별시 영등포구 도림로***길 *, 대철빌딩 *층 (문래동*가)07290주식회사 마나가네2023-02-10 16:56:55I2022-12-01 23:02:00.0<NA>190520.717179445830.11734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623180000CDFF52110320230000022017-04-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동*가 *-* 에이스 하이테크시티*서울특별시 영등포구 선유로 ***, 에이스 하이테크시티* ***~***호-*호 (양평동*가)07255아이 엠(eye m)2023-02-14 12:47:37I2022-12-01 23:06:00.0<NA>190325.849378447033.87348<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633180000CDFF52110320230000032023-03-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-* 삼보빌딩서울특별시 영등포구 국회대로**길 *, 삼보빌딩 ***호 (여의도동)07238뉴크마그 주식회사2023-03-17 12:41:11I2022-12-02 23:09:00.0<NA>192974.136279447585.389405<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643180000CDFF52110320230000042023-03-27<NA>5제외/삭제/전출15전출2024-01-02<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 ***-**서울특별시 영등포구 국회대로**길 **, 한얼빌딩 *층 A**호 (당산동*가)07256스튜디오타겟 주식회사2024-01-02 13:29:42U2023-12-01 00:04:00.0<NA>190586.06254447216.925499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
653180000CDFF52110320230000052023-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6959-1960<NA><NA>서울특별시 영등포구 당산동*가 *** 리드원센터서울특별시 영등포구 양산로 **, 리드원센터 ***호 (당산동*가)07261(주)엠티에스정보기술2023-03-29 17:11:59I2022-12-02 21:01:00.0<NA>190483.297509446975.595771<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
663180000CDFF52110320230000062023-07-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-784-9450<NA><NA>서울특별시 영등포구 여의도동 **-** 호성빌딩 신관서울특별시 영등포구 여의대방로**길 **, 호성빌딩 신관 **층 ****호 (여의도동)07333뱅가드2023-07-26 10:59:29I2022-12-06 22:08:00.0<NA>193694.665016446449.546193<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
673180000CDFF52110320240000012024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 ***-* 한승빌딩서울특별시 영등포구 도림로**길 *, 한승빌딩 *층 (대림동)07413더 액티비스트2024-02-13 17:10:06I2023-12-01 23:05:00.0<NA>190926.775422443621.154018<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
683180000CDFF52110320240000022024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동*가 **-** 여의도시티뷰서울특별시 영등포구 버드나루로*길 **-*, 여의도시티뷰 ***호 (영등포동*가)07247exposed film2024-02-27 13:00:13I2023-12-01 22:09:00.0<NA>191908.864331446771.908989<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>