Overview

Dataset statistics

Number of variables56
Number of observations53
Missing cells1479
Missing cells (%)49.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory493.5 B

Variable types

Categorical17
Text5
DateTime4
Unsupported26
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17630/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (86.5%)Imbalance
총층수 is highly imbalanced (61.4%)Imbalance
시설면적 is highly imbalanced (61.4%)Imbalance
지상층수 is highly imbalanced (61.4%)Imbalance
지하층수 is highly imbalanced (61.4%)Imbalance
통로너비 is highly imbalanced (61.4%)Imbalance
조명시설조도 is highly imbalanced (61.4%)Imbalance
노래방실수 is highly imbalanced (61.4%)Imbalance
청소년실수 is highly imbalanced (61.4%)Imbalance
총게임기수 is highly imbalanced (61.4%)Imbalance
인허가취소일자 has 53 (100.0%) missing valuesMissing
폐업일자 has 44 (83.0%) missing valuesMissing
휴업시작일자 has 53 (100.0%) missing valuesMissing
휴업종료일자 has 53 (100.0%) missing valuesMissing
재개업일자 has 53 (100.0%) missing valuesMissing
전화번호 has 34 (64.2%) missing valuesMissing
소재지면적 has 53 (100.0%) missing valuesMissing
도로명주소 has 1 (1.9%) missing valuesMissing
도로명우편번호 has 2 (3.8%) missing valuesMissing
업태구분명 has 53 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.9%) missing valuesMissing
좌표정보(Y) has 1 (1.9%) missing valuesMissing
문화사업자구분명 has 53 (100.0%) missing valuesMissing
주변환경명 has 53 (100.0%) missing valuesMissing
제작취급품목내용 has 53 (100.0%) missing valuesMissing
건물용도명 has 53 (100.0%) missing valuesMissing
비상계단여부 has 53 (100.0%) missing valuesMissing
비상구여부 has 53 (100.0%) missing valuesMissing
자동환기여부 has 53 (100.0%) missing valuesMissing
청소년실여부 has 53 (100.0%) missing valuesMissing
특수조명여부 has 53 (100.0%) missing valuesMissing
방음시설여부 has 53 (100.0%) missing valuesMissing
비디오재생기명 has 53 (100.0%) missing valuesMissing
조명시설유무 has 53 (100.0%) missing valuesMissing
음향시설여부 has 53 (100.0%) missing valuesMissing
편의시설여부 has 53 (100.0%) missing valuesMissing
소방시설여부 has 53 (100.0%) missing valuesMissing
기존게임업외업종명 has 53 (100.0%) missing valuesMissing
제공게임물명 has 53 (100.0%) missing valuesMissing
공연장형태구분명 has 53 (100.0%) missing valuesMissing
품목명 has 53 (100.0%) missing valuesMissing
최초등록시점 has 18 (34.0%) missing valuesMissing
지역구분명 has 53 (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 started2024-05-10 23:55:50.817807
Analysis finished2024-05-10 23:55:51.949260
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
3030000
53 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 53
100.0%

Length

2024-05-10T23:55:52.143066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:55:52.443349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 53
100.0%

관리번호
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-05-10T23:55:52.916399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1060
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

Unique53 ?
Unique (%)100.0%

Sample

1st rowCDFF5211032010000001
2nd rowCDFF5211032011000001
3rd rowCDFF5211032012000001
4th rowCDFF5211032014000002
5th rowCDFF5211032015000001
ValueCountFrequency (%)
cdff5211032010000001 1
 
1.9%
cdff5211032020000005 1
 
1.9%
cdff5211032021000002 1
 
1.9%
cdff5211032021000003 1
 
1.9%
cdff5211032021000004 1
 
1.9%
cdff5211032021000005 1
 
1.9%
cdff5211032021000006 1
 
1.9%
cdff5211032021000007 1
 
1.9%
cdff5211032021000008 1
 
1.9%
cdff5211032021000009 1
 
1.9%
Other values (43) 43
81.1%
2024-05-10T23:55:53.735974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 376
35.5%
2 155
14.6%
1 151
14.2%
F 106
 
10.0%
3 69
 
6.5%
5 60
 
5.7%
C 53
 
5.0%
D 53
 
5.0%
6 15
 
1.4%
7 7
 
0.7%
Other values (3) 15
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 848
80.0%
Uppercase Letter 212
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 376
44.3%
2 155
18.3%
1 151
17.8%
3 69
 
8.1%
5 60
 
7.1%
6 15
 
1.8%
7 7
 
0.8%
4 6
 
0.7%
8 6
 
0.7%
9 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 106
50.0%
C 53
25.0%
D 53
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 848
80.0%
Latin 212
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 376
44.3%
2 155
18.3%
1 151
17.8%
3 69
 
8.1%
5 60
 
7.1%
6 15
 
1.8%
7 7
 
0.8%
4 6
 
0.7%
8 6
 
0.7%
9 3
 
0.4%
Latin
ValueCountFrequency (%)
F 106
50.0%
C 53
25.0%
D 53
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 376
35.5%
2 155
14.6%
1 151
14.2%
F 106
 
10.0%
3 69
 
6.5%
5 60
 
5.7%
C 53
 
5.0%
D 53
 
5.0%
6 15
 
1.4%
7 7
 
0.7%
Other values (3) 15
 
1.4%

인허가일자
Date

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2007-01-09 00:00:00
Maximum2023-08-10 00:00:00
2024-05-10T23:55:54.162531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:55:54.616303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
44 
3
6 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 44
83.0%
3 6
 
11.3%
5 3
 
5.7%

Length

2024-05-10T23:55:55.021252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:55:55.347439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
83.0%
3 6
 
11.3%
5 3
 
5.7%

영업상태명
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
영업/정상
44 
폐업
6 
제외/삭제/전출
 
3

Length

Max length8
Median length5
Mean length4.8301887
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 44
83.0%
폐업 6
 
11.3%
제외/삭제/전출 3
 
5.7%

Length

2024-05-10T23:55:55.698131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:55:56.088657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 44
83.0%
폐업 6
 
11.3%
제외/삭제/전출 3
 
5.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
13
44 
3
6 
15
 
3

Length

Max length2
Median length2
Mean length1.8867925
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 44
83.0%
3 6
 
11.3%
15 3
 
5.7%

Length

2024-05-10T23:55:56.718439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:55:57.041046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 44
83.0%
3 6
 
11.3%
15 3
 
5.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
영업중
44 
폐업
6 
전출
 
3

Length

Max length3
Median length3
Mean length2.8301887
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 44
83.0%
폐업 6
 
11.3%
전출 3
 
5.7%

Length

2024-05-10T23:55:57.430393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:55:57.872829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 44
83.0%
폐업 6
 
11.3%
전출 3
 
5.7%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing44
Missing (%)83.0%
Memory size556.0 B
Minimum2011-06-21 00:00:00
Maximum2023-05-25 00:00:00
2024-05-10T23:55:58.335663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:55:58.983742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing34
Missing (%)64.2%
Memory size556.0 B
2024-05-10T23:55:59.690068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.947368
Min length9

Characters and Unicode

Total characters227
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

Unique17 ?
Unique (%)89.5%

Sample

1st row070-8650-5240
2nd row02-6393-6556
3rd row070-7560-8285
4th row2106-2766
5th row02-2281-7800
ValueCountFrequency (%)
02-6320-8500 2
 
10.5%
02-2135-9065 1
 
5.3%
070-8650-5240 1
 
5.3%
070-4230-8676 1
 
5.3%
070-7500-8671 1
 
5.3%
02-6925-0091 1
 
5.3%
02-516-1975 1
 
5.3%
02-2299-8089 1
 
5.3%
02-6466-5236 1
 
5.3%
02-511-7831 1
 
5.3%
Other values (8) 8
42.1%
2024-05-10T23:56:00.983699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
22.5%
- 37
16.3%
2 31
13.7%
6 24
10.6%
5 19
 
8.4%
7 14
 
6.2%
8 13
 
5.7%
1 12
 
5.3%
3 11
 
4.8%
9 8
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190
83.7%
Dash Punctuation 37
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
26.8%
2 31
16.3%
6 24
12.6%
5 19
 
10.0%
7 14
 
7.4%
8 13
 
6.8%
1 12
 
6.3%
3 11
 
5.8%
9 8
 
4.2%
4 7
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 227
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
22.5%
- 37
16.3%
2 31
13.7%
6 24
10.6%
5 19
 
8.4%
7 14
 
6.2%
8 13
 
5.7%
1 12
 
5.3%
3 11
 
4.8%
9 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 227
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
22.5%
- 37
16.3%
2 31
13.7%
6 24
10.6%
5 19
 
8.4%
7 14
 
6.2%
8 13
 
5.7%
1 12
 
5.3%
3 11
 
4.8%
9 8
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
52 
133882
 
1

Length

Max length6
Median length4
Mean length4.0377358
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row133882
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 52
98.1%
133882 1
 
1.9%

Length

2024-05-10T23:56:01.556668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:01.993394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
98.1%
133882 1
 
1.9%

지번주소
Text

Distinct44
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-05-10T23:56:02.574737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length27.037736
Min length16

Characters and Unicode

Total characters1433
Distinct characters109
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)69.8%

Sample

1st row서울특별시 성동구 도선동 신한넥스텔 ***호
2nd row서울특별시 성동구 도선동 **-*번지 다남매타워 ****호
3rd row서울특별시 성동구 성수동*가 ***-***번지 대양빌딩
4th row서울특별시 성동구 성수동*가 **-***번지
5th row서울특별시 성동구 마장동 ***번지
ValueCountFrequency (%)
서울특별시 53
20.3%
성동구 53
20.3%
성수동*가 36
13.8%
34
13.0%
번지 18
 
6.9%
도선동 6
 
2.3%
서울숲 4
 
1.5%
옥수동 3
 
1.1%
sk 3
 
1.1%
v 3
 
1.1%
Other values (36) 48
18.4%
2024-05-10T23:56:03.902819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 283
19.7%
241
16.8%
동 106
 
7.4%
성 95
 
6.6%
서 59
 
4.1%
울 59
 
4.1%
시 54
 
3.8%
특 53
 
3.7%
별 53
 
3.7%
구 53
 
3.7%
Other values (99) 377
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 794
55.4%
Other Punctuation 283
 
19.7%
Space Separator 241
 
16.8%
Dash Punctuation 42
 
2.9%
Uppercase Letter 41
 
2.9%
Lowercase Letter 30
 
2.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 106
13.4%
성 95
12.0%
서 59
 
7.4%
울 59
 
7.4%
시 54
 
6.8%
특 53
 
6.7%
별 53
 
6.7%
구 53
 
6.7%
수 44
 
5.5%
가 38
 
4.8%
Other values (68) 180
22.7%
Uppercase Letter
ValueCountFrequency (%)
T 6
14.6%
R 5
12.2%
S 4
9.8%
K 4
9.8%
E 4
9.8%
C 3
7.3%
V 3
7.3%
N 3
7.3%
I 2
 
4.9%
O 2
 
4.9%
Other values (4) 5
12.2%
Lowercase Letter
ValueCountFrequency (%)
o 6
20.0%
e 6
20.0%
r 5
16.7%
w 4
13.3%
l 2
 
6.7%
i 1
 
3.3%
z 1
 
3.3%
t 1
 
3.3%
a 1
 
3.3%
m 1
 
3.3%
Other values (2) 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 283
100.0%
Space Separator
ValueCountFrequency (%)
241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 794
55.4%
Common 568
39.6%
Latin 71
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 106
13.4%
성 95
12.0%
서 59
 
7.4%
울 59
 
7.4%
시 54
 
6.8%
특 53
 
6.7%
별 53
 
6.7%
구 53
 
6.7%
수 44
 
5.5%
가 38
 
4.8%
Other values (68) 180
22.7%
Latin
ValueCountFrequency (%)
T 6
 
8.5%
o 6
 
8.5%
e 6
 
8.5%
r 5
 
7.0%
R 5
 
7.0%
S 4
 
5.6%
K 4
 
5.6%
E 4
 
5.6%
w 4
 
5.6%
C 3
 
4.2%
Other values (16) 24
33.8%
Common
ValueCountFrequency (%)
* 283
49.8%
241
42.4%
- 42
 
7.4%
( 1
 
0.2%
) 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 794
55.4%
ASCII 639
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 283
44.3%
241
37.7%
- 42
 
6.6%
T 6
 
0.9%
o 6
 
0.9%
e 6
 
0.9%
r 5
 
0.8%
R 5
 
0.8%
S 4
 
0.6%
K 4
 
0.6%
Other values (21) 37
 
5.8%
Hangul
ValueCountFrequency (%)
동 106
13.4%
성 95
12.0%
서 59
 
7.4%
울 59
 
7.4%
시 54
 
6.8%
특 53
 
6.7%
별 53
 
6.7%
구 53
 
6.7%
수 44
 
5.5%
가 38
 
4.8%
Other values (68) 180
22.7%

도로명주소
Text

MISSING 

Distinct46
Distinct (%)88.5%
Missing1
Missing (%)1.9%
Memory size556.0 B
2024-05-10T23:56:04.562784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length46
Mean length39.403846
Min length26

Characters and Unicode

Total characters2049
Distinct characters139
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)76.9%

Sample

1st row서울특별시 성동구 고산자로 ***, ****호 (도선동,다남매타워)
2nd row서울특별시 성동구 아차산로*길 **-** (성수동*가, 대양빌딩)
3rd row서울특별시 성동구 성수일로 ** (성수동*가, 서울숲 IT 밸리)
4th row서울특별시 성동구 고산자로 ***, ***호 (마장동, 동방빌딩)
5th row서울특별시 성동구 상원**길 ** (성수동*가)
ValueCountFrequency (%)
서울특별시 52
13.4%
성동구 52
13.4%
52
13.4%
성수동*가 36
 
9.3%
호 35
 
9.0%
층 20
 
5.2%
성수일로 8
 
2.1%
서울숲 7
 
1.8%
동 5
 
1.3%
밸리 4
 
1.0%
Other values (74) 116
30.0%
2024-05-10T23:56:06.019612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 364
17.8%
336
16.4%
동 112
 
5.5%
성 109
 
5.3%
, 70
 
3.4%
서 65
 
3.2%
울 63
 
3.1%
수 57
 
2.8%
시 53
 
2.6%
) 53
 
2.6%
Other values (129) 767
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1084
52.9%
Other Punctuation 434
21.2%
Space Separator 336
 
16.4%
Close Punctuation 53
 
2.6%
Open Punctuation 53
 
2.6%
Uppercase Letter 47
 
2.3%
Lowercase Letter 30
 
1.5%
Dash Punctuation 12
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 112
 
10.3%
성 109
 
10.1%
서 65
 
6.0%
울 63
 
5.8%
수 57
 
5.3%
시 53
 
4.9%
별 52
 
4.8%
구 52
 
4.8%
특 52
 
4.8%
가 42
 
3.9%
Other values (96) 427
39.4%
Uppercase Letter
ValueCountFrequency (%)
T 9
19.1%
R 5
10.6%
I 5
10.6%
E 4
8.5%
S 3
 
6.4%
K 3
 
6.4%
C 3
 
6.4%
V 3
 
6.4%
N 3
 
6.4%
L 2
 
4.3%
Other values (5) 7
14.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.0%
o 6
20.0%
r 5
16.7%
w 4
13.3%
l 2
 
6.7%
i 1
 
3.3%
z 1
 
3.3%
p 1
 
3.3%
h 1
 
3.3%
m 1
 
3.3%
Other values (2) 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 364
83.9%
, 70
 
16.1%
Space Separator
ValueCountFrequency (%)
336
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1084
52.9%
Common 888
43.3%
Latin 77
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 112
 
10.3%
성 109
 
10.1%
서 65
 
6.0%
울 63
 
5.8%
수 57
 
5.3%
시 53
 
4.9%
별 52
 
4.8%
구 52
 
4.8%
특 52
 
4.8%
가 42
 
3.9%
Other values (96) 427
39.4%
Latin
ValueCountFrequency (%)
T 9
 
11.7%
e 6
 
7.8%
o 6
 
7.8%
r 5
 
6.5%
R 5
 
6.5%
I 5
 
6.5%
w 4
 
5.2%
E 4
 
5.2%
S 3
 
3.9%
K 3
 
3.9%
Other values (17) 27
35.1%
Common
ValueCountFrequency (%)
* 364
41.0%
336
37.8%
, 70
 
7.9%
) 53
 
6.0%
( 53
 
6.0%
- 12
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1084
52.9%
ASCII 965
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 364
37.7%
336
34.8%
, 70
 
7.3%
) 53
 
5.5%
( 53
 
5.5%
- 12
 
1.2%
T 9
 
0.9%
e 6
 
0.6%
o 6
 
0.6%
r 5
 
0.5%
Other values (23) 51
 
5.3%
Hangul
ValueCountFrequency (%)
동 112
 
10.3%
성 109
 
10.1%
서 65
 
6.0%
울 63
 
5.8%
수 57
 
5.3%
시 53
 
4.9%
별 52
 
4.8%
구 52
 
4.8%
특 52
 
4.8%
가 42
 
3.9%
Other values (96) 427
39.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)54.9%
Missing2
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean9802.3333
Minimum4701
Maximum133120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-10T23:56:06.869084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4708
Q14769
median4782
Q34790.5
95-th percentile4801
Maximum133120
Range128419
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation25154.715
Coefficient of variation (CV)2.5661966
Kurtosis22.834169
Mean9802.3333
Median Absolute Deviation (MAD)11
Skewness4.8928044
Sum499919
Variance6.3275967 × 108
MonotonicityNot monotonic
2024-05-10T23:56:07.669235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4790 6
 
11.3%
4799 4
 
7.5%
4782 3
 
5.7%
4783 3
 
5.7%
4775 3
 
5.7%
4709 3
 
5.7%
4781 2
 
3.8%
4801 2
 
3.8%
4789 2
 
3.8%
4778 2
 
3.8%
Other values (18) 21
39.6%
ValueCountFrequency (%)
4701 1
 
1.9%
4705 1
 
1.9%
4707 1
 
1.9%
4709 3
5.7%
4715 1
 
1.9%
4731 1
 
1.9%
4732 2
3.8%
4733 1
 
1.9%
4759 1
 
1.9%
4769 2
3.8%
ValueCountFrequency (%)
133120 1
 
1.9%
133050 1
 
1.9%
4801 2
 
3.8%
4799 4
7.5%
4797 1
 
1.9%
4794 1
 
1.9%
4793 2
 
3.8%
4791 1
 
1.9%
4790 6
11.3%
4789 2
 
3.8%

사업장명
Text

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-05-10T23:56:08.478331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.6415094
Min length2

Characters and Unicode

Total characters511
Distinct characters125
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

Unique49 ?
Unique (%)92.5%

Sample

1st row(주)드림웨스트픽쳐스
2nd row주식회사 풍경소리
3rd row그린라이트미디어(주)
4th row(주)콘텐츠랩자박
5th row(주)신우트레이드
ValueCountFrequency (%)
주식회사 23
28.0%
주)케이엔터테인먼트 2
 
2.4%
니즈텔레콤 2
 
2.4%
메가히트픽쳐스 1
 
1.2%
주)에스엠 1
 
1.2%
골드메달리스트 1
 
1.2%
질리언뷰 1
 
1.2%
주)드림웨스트픽쳐스 1
 
1.2%
투모어픽쳐스 1
 
1.2%
주 1
 
1.2%
Other values (48) 48
58.5%
2024-05-10T23:56:10.158533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 46
 
9.0%
29
 
5.7%
( 25
 
4.9%
) 25
 
4.9%
회 24
 
4.7%
사 24
 
4.7%
식 23
 
4.5%
스 20
 
3.9%
트 15
 
2.9%
인 10
 
2.0%
Other values (115) 270
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 422
82.6%
Space Separator 29
 
5.7%
Open Punctuation 25
 
4.9%
Close Punctuation 25
 
4.9%
Uppercase Letter 7
 
1.4%
Lowercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 46
 
10.9%
회 24
 
5.7%
사 24
 
5.7%
식 23
 
5.5%
스 20
 
4.7%
트 15
 
3.6%
인 10
 
2.4%
리 9
 
2.1%
디 9
 
2.1%
엔 9
 
2.1%
Other values (104) 233
55.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
R 2
28.6%
I 1
14.3%
N 1
14.3%
A 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 422
82.6%
Common 80
 
15.7%
Latin 9
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 46
 
10.9%
회 24
 
5.7%
사 24
 
5.7%
식 23
 
5.5%
스 20
 
4.7%
트 15
 
3.6%
인 10
 
2.4%
리 9
 
2.1%
디 9
 
2.1%
엔 9
 
2.1%
Other values (104) 233
55.2%
Latin
ValueCountFrequency (%)
C 2
22.2%
R 2
22.2%
c 1
11.1%
n 1
11.1%
I 1
11.1%
N 1
11.1%
A 1
11.1%
Common
ValueCountFrequency (%)
29
36.2%
( 25
31.2%
) 25
31.2%
. 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 422
82.6%
ASCII 89
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 46
 
10.9%
회 24
 
5.7%
사 24
 
5.7%
식 23
 
5.5%
스 20
 
4.7%
트 15
 
3.6%
인 10
 
2.4%
리 9
 
2.1%
디 9
 
2.1%
엔 9
 
2.1%
Other values (104) 233
55.2%
ASCII
ValueCountFrequency (%)
29
32.6%
( 25
28.1%
) 25
28.1%
C 2
 
2.2%
R 2
 
2.2%
. 1
 
1.1%
c 1
 
1.1%
n 1
 
1.1%
I 1
 
1.1%
N 1
 
1.1%

최종수정일자
Date

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2011-06-21 09:33:00
Maximum2024-04-09 13:55:29
2024-05-10T23:56:10.946450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:56:11.593559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
I
38 
U
15 

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 38
71.7%
U 15
 
28.3%

Length

2024-05-10T23:56:12.181003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:12.639955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 38
71.7%
u 15
 
28.3%

데이터갱신일자
Date

Distinct36
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-05-10T23:56:13.276949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:56:14.045409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)84.6%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean204050.04
Minimum200782.35
Maximum205773.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-10T23:56:14.905564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200782.35
5-th percentile201228.35
Q1203308.47
median204339.63
Q3204810.72
95-th percentile205715.42
Maximum205773.88
Range4991.5229
Interquartile range (IQR)1502.2421

Descriptive statistics

Standard deviation1209.5492
Coefficient of variation (CV)0.0059277085
Kurtosis1.0576752
Mean204050.04
Median Absolute Deviation (MAD)579.94746
Skewness-1.0491964
Sum10610602
Variance1463009.2
MonotonicityNot monotonic
2024-05-10T23:56:15.632770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
204339.630102839 4
 
7.5%
205753.250469411 2
 
3.8%
205684.470374768 2
 
3.8%
203994.658040173 2
 
3.8%
205001.441139505 2
 
3.8%
204474.754281738 2
 
3.8%
200896.532906303 1
 
1.9%
204420.278836478 1
 
1.9%
205638.676388032 1
 
1.9%
204321.668356854 1
 
1.9%
Other values (34) 34
64.2%
ValueCountFrequency (%)
200782.353831759 1
1.9%
200896.532906303 1
1.9%
201157.877298502 1
1.9%
201286.016742443 1
1.9%
202372.912023599 1
1.9%
202774.800142174 1
1.9%
202865.769674035 1
1.9%
203014.126371125 1
1.9%
203053.771184775 1
1.9%
203056.514104723 1
1.9%
ValueCountFrequency (%)
205773.876761108 1
1.9%
205753.250469411 2
3.8%
205684.470374768 2
3.8%
205638.676388032 1
1.9%
205039.907145725 1
1.9%
205014.436191811 1
1.9%
205001.441139505 2
3.8%
204966.098616157 1
1.9%
204847.846010514 1
1.9%
204847.823468732 1
1.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)84.6%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean449628.82
Minimum448401.98
Maximum451627.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-10T23:56:16.168294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448401.98
5-th percentile448570.42
Q1449042.08
median449442.11
Q3449718.54
95-th percentile451495.35
Maximum451627.41
Range3225.4317
Interquartile range (IQR)676.46277

Descriptive statistics

Standard deviation913.78302
Coefficient of variation (CV)0.0020323052
Kurtosis0.080461923
Mean449628.82
Median Absolute Deviation (MAD)348.74975
Skewness1.0934193
Sum23380699
Variance834999.4
MonotonicityNot monotonic
2024-05-10T23:56:16.960613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
449469.505136008 4
 
7.5%
449482.033814702 2
 
3.8%
449721.434902293 2
 
3.8%
449552.049448345 2
 
3.8%
448914.166792973 2
 
3.8%
448401.981843555 2
 
3.8%
448738.405972437 1
 
1.9%
449579.219264753 1
 
1.9%
449369.788095658 1
 
1.9%
448817.329182521 1
 
1.9%
Other values (34) 34
64.2%
ValueCountFrequency (%)
448401.981843555 2
3.8%
448449.876939047 1
1.9%
448669.043360044 1
1.9%
448738.405972437 1
1.9%
448769.04984965 1
1.9%
448817.329182521 1
1.9%
448846.820248719 1
1.9%
448914.166792973 2
3.8%
448916.8435131 1
1.9%
448961.208329966 1
1.9%
ValueCountFrequency (%)
451627.413501739 1
1.9%
451553.461590274 1
1.9%
451536.680876573 1
1.9%
451461.526909724 1
1.9%
451354.099295062 1
1.9%
451291.257374878 1
1.9%
451271.366165685 1
1.9%
451121.27351231 1
1.9%
451106.855353223 1
1.9%
451094.899387975 1
1.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
영화배급업
35 
<NA>
18 

Length

Max length5
Median length5
Mean length4.6603774
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 35
66.0%
<NA> 18
34.0%

Length

2024-05-10T23:56:17.531340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:17.949058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 35
66.0%
na 18
34.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
0
 
4

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
0 4
 
7.5%

Length

2024-05-10T23:56:18.503014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:18.999185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
0 4
 
7.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
0
 
4

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
0 4
 
7.5%

Length

2024-05-10T23:56:19.449117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:19.863404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
0 4
 
7.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
0
 
4

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
0 4
 
7.5%

Length

2024-05-10T23:56:20.292324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:20.618210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
0 4
 
7.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
0
 
4

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
0 4
 
7.5%

Length

2024-05-10T23:56:20.948008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:21.299422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
0 4
 
7.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
0
 
4

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
0 4
 
7.5%

Length

2024-05-10T23:56:21.803547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:22.204914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
0 4
 
7.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
0
 
4

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
0 4
 
7.5%

Length

2024-05-10T23:56:22.756793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:23.217584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
0 4
 
7.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
0
 
4

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
0 4
 
7.5%

Length

2024-05-10T23:56:23.723765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:24.074468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
0 4
 
7.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
0
 
4

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
0 4
 
7.5%

Length

2024-05-10T23:56:24.534471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:24.863450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
0 4
 
7.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
0
 
4

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
0 4
 
7.5%

Length

2024-05-10T23:56:25.296864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:56:25.796771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
0 4
 
7.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)97.1%
Missing18
Missing (%)34.0%
Infinite0
Infinite (%)0.0%
Mean20164647
Minimum20080616
Maximum20220223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-10T23:56:26.190705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080616
5-th percentile20104946
Q120136117
median20160602
Q320200564
95-th percentile20213635
Maximum20220223
Range139607
Interquartile range (IQR)64447.5

Descriptive statistics

Standard deviation37123.25
Coefficient of variation (CV)0.0018410067
Kurtosis-0.56156735
Mean20164647
Median Absolute Deviation (MAD)29600
Skewness-0.25178819
Sum7.0576266 × 108
Variance1.3781357 × 109
MonotonicityNot monotonic
2024-05-10T23:56:26.798808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20210107 2
 
3.8%
20181016 1
 
1.9%
20200319 1
 
1.9%
20131002 1
 
1.9%
20200810 1
 
1.9%
20080616 1
 
1.9%
20191111 1
 
1.9%
20210127 1
 
1.9%
20171123 1
 
1.9%
20210402 1
 
1.9%
Other values (24) 24
45.3%
(Missing) 18
34.0%
ValueCountFrequency (%)
20080616 1
1.9%
20091230 1
1.9%
20110824 1
1.9%
20120314 1
1.9%
20130110 1
1.9%
20130619 1
1.9%
20131002 1
1.9%
20131017 1
1.9%
20131114 1
1.9%
20141120 1
1.9%
ValueCountFrequency (%)
20220223 1
1.9%
20220207 1
1.9%
20210818 1
1.9%
20210422 1
1.9%
20210402 1
1.9%
20210127 1
1.9%
20210107 2
3.8%
20200810 1
1.9%
20200319 1
1.9%
20191111 1
1.9%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03030000CDFF521103201000000120091230<NA>3폐업3폐업20110621<NA><NA><NA>070-8650-5240<NA><NA>서울특별시 성동구 도선동 신한넥스텔 ***호<NA><NA>(주)드림웨스트픽쳐스2011-06-21 09:33:00I2018-08-31 23:59:59.0<NA><NA><NA>영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20091230<NA>
13030000CDFF521103201100000120110824<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133882서울특별시 성동구 도선동 **-*번지 다남매타워 ****호서울특별시 성동구 고산자로 ***, ****호 (도선동,다남매타워)<NA>주식회사 풍경소리2011-08-24 16:21:58I2018-08-31 23:59:59.0<NA>203077.751687451121.273512영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110824<NA>
23030000CDFF521103201200000120120314<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6393-6556<NA><NA>서울특별시 성동구 성수동*가 ***-***번지 대양빌딩서울특별시 성동구 아차산로*길 **-** (성수동*가, 대양빌딩)133120그린라이트미디어(주)2012-03-14 11:30:32I2018-08-31 23:59:59.0<NA>204682.445425449414.713613영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120314<NA>
33030000CDFF521103201400000220141120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-***번지서울특별시 성동구 성수일로 ** (성수동*가, 서울숲 IT 밸리)4790(주)콘텐츠랩자박2016-11-02 15:49:17I2018-08-31 23:59:59.0<NA>204339.630103449469.505136영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20141120<NA>
43030000CDFF521103201500000120150717<NA>3폐업3폐업20151218<NA><NA><NA>070-7560-8285<NA><NA>서울특별시 성동구 마장동 ***번지서울특별시 성동구 고산자로 ***, ***호 (마장동, 동방빌딩)133050(주)신우트레이드2015-12-18 16:26:23I2018-08-31 23:59:59.0<NA>203209.457162451553.46159영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150717<NA>
53030000CDFF521103201500000220150907<NA>3폐업3폐업20161013<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-**번지서울특별시 성동구 상원**길 ** (성수동*가)4791귀도비니2016-10-13 17:17:55I2018-08-31 23:59:59.0<NA>204278.277003449712.107493영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150907<NA>
63030000CDFF521103201600000120150710<NA>1영업/정상13영업중<NA><NA><NA><NA>2106-2766<NA><NA>서울특별시 성동구 성수동*가 ***-**번지서울특별시 성동구 성수일로 **, *층 (성수동*가, 거영빌딩)4782(주)예당씨앤에스2016-01-15 10:31:36I2018-08-31 23:59:59.0<NA>204344.417702449159.520344영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150710<NA>
73030000CDFF521103201600000220160120<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2281-7800<NA><NA>서울특별시 성동구 하왕십리동 ***-**번지서울특별시 성동구 무학봉**길 *, ***호 (하왕십리동, 창우빌딩)4715주식회사 야코2016-07-05 13:46:25I2018-08-31 23:59:59.0<NA>202865.769674451094.899388영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160120<NA>
83030000CDFF521103201600000320160219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 ***서울특별시 성동구 왕십리로**가길 *, ***호 (도선동, 상원빌)4707시네마 기획2021-06-28 14:18:53U2021-06-30 02:40:00.0<NA>202774.800142451354.099295영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160219<NA>
93030000CDFF521103201600000420160421<NA>3폐업3폐업20180314<NA><NA><NA><NA><NA><NA>서울특별시 성동구 마장동 ***번지서울특별시 성동구 마장로**가길 **, *층 (마장동)4705(주)진성엔터테인먼트2018-03-14 14:16:04I2018-08-31 23:59:59.0<NA>203056.514105451627.413502영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160421<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
433030000CDFF52110320220000072016-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6320-8500<NA><NA>서울특별시 성동구 성수동*가 ***-** CORNER**서울특별시 성동구 연무장**길 *, CORNER** (성수동*가)4783주식회사 키다리스튜디오2024-04-09 13:55:29U2023-12-03 23:01:00.0<NA>205001.44114448914.166793<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443030000CDFF52110320220000082017-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6320-8500<NA><NA>서울특별시 성동구 성수동*가 ***-** CORNER**서울특별시 성동구 연무장**길 *, CORNER** (성수동*가)4783주식회사 레진엔터테인먼트2024-04-09 11:36:25U2023-12-03 23:01:00.0<NA>205001.44114448914.166793<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453030000CDFF52110320230000012007-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** 메가박스 스퀘어서울특별시 성동구 왕십리로 **, 메가박스 스퀘어 *층 (성수동*가)4778메가박스중앙(주)2024-02-02 16:50:01U2023-12-02 00:04:00.0<NA>203903.353553448846.820249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463030000CDFF52110320230000022023-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 *** 성수 SK V* CENTER I서울특별시 성동구 아차산로**길 **, 성수 SK V* CENTER I *동 **층 ****호 (성수동*가)4799주식회사 오로스스튜디오2023-02-14 11:00:05I2022-12-01 23:06:00.0<NA>205773.876761449380.832286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473030000CDFF52110320230000032023-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-**** 서울숲 L-Tower서울특별시 성동구 아차산로 **, 서울숲 L-Tower *층 ***호 (성수동*가)4789주식회사 니즈텔레콤2023-03-27 09:43:20I2022-12-02 22:09:00.0<NA>203994.65804449552.049448<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483030000CDFF52110320230000042023-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2027-2300<NA><NA>서울특별시 성동구 성수동*가 ***-**** 서울숲 L-Tower서울특별시 성동구 아차산로 **, 서울숲 L-Tower *층 ***호 (성수동*가)4789주식회사 니즈텔레콤2023-03-27 09:14:06I2022-12-02 22:09:00.0<NA>203994.65804449552.049448<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493030000CDFF52110320230000052023-06-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 **서울특별시 성동구 무학로*길 **, *층 A-***호 (도선동)4709주식회사 피어니스튜디오2023-06-20 09:29:15I2022-12-05 22:02:00.0<NA>203014.126371451106.855353<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503030000CDFF52110320230000062023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 서울숲 한라에코밸리서울특별시 성동구 뚝섬로*길 **, 서울숲 한라에코밸리 *층 ***호 (성수동*가)4778주식회사 메가히트픽쳐스2023-08-10 15:26:01I2022-12-07 23:02:00.0<NA>204022.268076449043.715924<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513030000CDFF52110320230000072021-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 송정동 **-***서울특별시 성동구 송정*길 *, *층 (송정동)4801주식회사 질리언뷰2023-09-12 14:50:20I2022-12-08 23:04:00.0<NA>205684.470375449721.434902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523030000CDFF52110320230000082018-08-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 송정동 **-***서울특별시 성동구 송정*길 *, *층 (송정동)4801주식회사 트리플픽쳐스2023-09-19 13:07:46I2022-12-08 22:01:00.0<NA>205684.470375449721.434902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>