Overview

Dataset statistics

Number of variables56
Number of observations25
Missing cells694
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory497.3 B

Variable types

Categorical17
Text5
DateTime3
Unsupported27
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17631/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (58.9%)Imbalance
총층수 is highly imbalanced (75.8%)Imbalance
시설면적 is highly imbalanced (75.8%)Imbalance
지상층수 is highly imbalanced (75.8%)Imbalance
지하층수 is highly imbalanced (75.8%)Imbalance
통로너비 is highly imbalanced (75.8%)Imbalance
조명시설조도 is highly imbalanced (75.8%)Imbalance
노래방실수 is highly imbalanced (75.8%)Imbalance
청소년실수 is highly imbalanced (75.8%)Imbalance
총게임기수 is highly imbalanced (75.8%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
전화번호 has 16 (64.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
소재지우편번호 has 25 (100.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
문화사업자구분명 has 25 (100.0%) missing valuesMissing
주변환경명 has 25 (100.0%) missing valuesMissing
제작취급품목내용 has 25 (100.0%) missing valuesMissing
건물용도명 has 25 (100.0%) missing valuesMissing
비상계단여부 has 25 (100.0%) missing valuesMissing
비상구여부 has 25 (100.0%) missing valuesMissing
자동환기여부 has 25 (100.0%) missing valuesMissing
청소년실여부 has 25 (100.0%) missing valuesMissing
특수조명여부 has 25 (100.0%) missing valuesMissing
방음시설여부 has 25 (100.0%) missing valuesMissing
비디오재생기명 has 25 (100.0%) missing valuesMissing
조명시설유무 has 25 (100.0%) missing valuesMissing
음향시설여부 has 25 (100.0%) missing valuesMissing
편의시설여부 has 25 (100.0%) missing valuesMissing
소방시설여부 has 25 (100.0%) missing valuesMissing
기존게임업외업종명 has 25 (100.0%) missing valuesMissing
제공게임물명 has 25 (100.0%) missing valuesMissing
공연장형태구분명 has 25 (100.0%) missing valuesMissing
품목명 has 25 (100.0%) missing valuesMissing
최초등록시점 has 3 (12.0%) missing valuesMissing
지역구분명 has 25 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 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
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 05:33:12.751789
Analysis finished2024-05-11 05:33:13.484882
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3040000
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 25
100.0%

Length

2024-05-11T14:33:13.591072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:13.737552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 25
100.0%

관리번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T14:33:14.002687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters500
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowCDFF5211032011000001
2nd rowCDFF5211032012000002
3rd rowCDFF5211032012000003
4th rowCDFF5211032012000004
5th rowCDFF5211032013000001
ValueCountFrequency (%)
cdff5211032011000001 1
 
4.0%
cdff5211032018000003 1
 
4.0%
cdff5211032023000001 1
 
4.0%
cdff5211032022000001 1
 
4.0%
cdff5211032020000003 1
 
4.0%
cdff5211032020000002 1
 
4.0%
cdff5211032019000005 1
 
4.0%
cdff5211032019000004 1
 
4.0%
cdff5211032019000003 1
 
4.0%
cdff5211032019000002 1
 
4.0%
Other values (15) 15
60.0%
2024-05-11T14:33:14.583491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 177
35.4%
1 81
16.2%
2 65
 
13.0%
F 50
 
10.0%
3 32
 
6.4%
5 29
 
5.8%
C 25
 
5.0%
D 25
 
5.0%
9 5
 
1.0%
4 4
 
0.8%
Other values (3) 7
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
80.0%
Uppercase Letter 100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
44.2%
1 81
20.2%
2 65
 
16.2%
3 32
 
8.0%
5 29
 
7.2%
9 5
 
1.2%
4 4
 
1.0%
8 4
 
1.0%
6 2
 
0.5%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 50
50.0%
C 25
25.0%
D 25
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
80.0%
Latin 100
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 177
44.2%
1 81
20.2%
2 65
 
16.2%
3 32
 
8.0%
5 29
 
7.2%
9 5
 
1.2%
4 4
 
1.0%
8 4
 
1.0%
6 2
 
0.5%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
F 50
50.0%
C 25
25.0%
D 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 177
35.4%
1 81
16.2%
2 65
 
13.0%
F 50
 
10.0%
3 32
 
6.4%
5 29
 
5.8%
C 25
 
5.0%
D 25
 
5.0%
9 5
 
1.0%
4 4
 
0.8%
Other values (3) 7
 
1.4%

인허가일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2011-05-06 00:00:00
Maximum2024-02-23 00:00:00
2024-05-11T14:33:14.829786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:15.082803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B
Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
20 
3
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
80.0%
3 4
 
16.0%
5 1
 
4.0%

Length

2024-05-11T14:33:15.301987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:15.465533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
80.0%
3 4
 
16.0%
5 1
 
4.0%

영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
20 
폐업
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.64
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
80.0%
폐업 4
 
16.0%
제외/삭제/전출 1
 
4.0%

Length

2024-05-11T14:33:15.658066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:15.825851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
80.0%
폐업 4
 
16.0%
제외/삭제/전출 1
 
4.0%
Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
13
20 
3
15
 
1

Length

Max length2
Median length2
Mean length1.84
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 20
80.0%
3 4
 
16.0%
15 1
 
4.0%

Length

2024-05-11T14:33:16.023429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:16.182037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 20
80.0%
3 4
 
16.0%
15 1
 
4.0%
Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
20 
폐업
전출
 
1

Length

Max length3
Median length3
Mean length2.8
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 20
80.0%
폐업 4
 
16.0%
전출 1
 
4.0%

Length

2024-05-11T14:33:16.386491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:16.573820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 20
80.0%
폐업 4
 
16.0%
전출 1
 
4.0%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
21 
20200325
 
1
20200814
 
1
20220617
 
1
20190916
 
1

Length

Max length8
Median length4
Mean length4.64
Min length4

Unique

Unique4 ?
Unique (%)16.0%

Sample

1st row20200325
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
84.0%
20200325 1
 
4.0%
20200814 1
 
4.0%
20220617 1
 
4.0%
20190916 1
 
4.0%

Length

2024-05-11T14:33:16.741942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:16.916941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
84.0%
20200325 1
 
4.0%
20200814 1
 
4.0%
20220617 1
 
4.0%
20190916 1
 
4.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing16
Missing (%)64.0%
Memory size332.0 B
2024-05-11T14:33:17.534275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11
Min length10

Characters and Unicode

Total characters99
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

Unique9 ?
Unique (%)100.0%

Sample

1st row02-458-3327
2nd row02-452-0582
3rd row031-703-6851
4th row02-444-7411
5th row02-436-3059
ValueCountFrequency (%)
02-458-3327 1
11.1%
02-452-0582 1
11.1%
031-703-6851 1
11.1%
02-444-7411 1
11.1%
02-436-3059 1
11.1%
02-512-3338 1
11.1%
02-447-0312 1
11.1%
02)742-8800 1
11.1%
0234377720 1
11.1%
2024-05-11T14:33:18.053883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
16.2%
2 15
15.2%
- 15
15.2%
3 12
12.1%
4 11
11.1%
7 8
8.1%
5 6
 
6.1%
8 6
 
6.1%
1 6
 
6.1%
6 2
 
2.0%
Other values (2) 2
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 83
83.8%
Dash Punctuation 15
 
15.2%
Close Punctuation 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
19.3%
2 15
18.1%
3 12
14.5%
4 11
13.3%
7 8
9.6%
5 6
 
7.2%
8 6
 
7.2%
1 6
 
7.2%
6 2
 
2.4%
9 1
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
16.2%
2 15
15.2%
- 15
15.2%
3 12
12.1%
4 11
11.1%
7 8
8.1%
5 6
 
6.1%
8 6
 
6.1%
1 6
 
6.1%
6 2
 
2.0%
Other values (2) 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
16.2%
2 15
15.2%
- 15
15.2%
3 12
12.1%
4 11
11.1%
7 8
8.1%
5 6
 
6.1%
8 6
 
6.1%
1 6
 
6.1%
6 2
 
2.0%
Other values (2) 2
 
2.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B
Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T14:33:18.376462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length25.4
Min length14

Characters and Unicode

Total characters635
Distinct characters62
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st row서울특별시 광진구 화양동 ***-**번지
2nd row서울특별시 광진구 중곡동 ***-**번지
3rd row서울특별시 광진구 구의동 ***-**번지
4th row서울특별시 광진구 화양동 ***-*번지
5th row서울특별시 광진구 광장동
ValueCountFrequency (%)
서울특별시 25
20.8%
광진구 25
20.8%
번지 16
13.3%
구의동 9
 
7.5%
7
 
5.8%
중곡동 5
 
4.2%
화양동 5
 
4.2%
4
 
3.3%
광장동 3
 
2.5%
2
 
1.7%
Other values (18) 19
15.8%
2024-05-11T14:33:18.892224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 128
20.2%
111
17.5%
34
 
5.4%
29
 
4.6%
27
 
4.3%
26
 
4.1%
25
 
3.9%
25
 
3.9%
25
 
3.9%
25
 
3.9%
Other values (52) 180
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
57.6%
Other Punctuation 128
 
20.2%
Space Separator 111
 
17.5%
Dash Punctuation 21
 
3.3%
Uppercase Letter 9
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
34
 
9.3%
29
 
7.9%
27
 
7.4%
26
 
7.1%
25
 
6.8%
25
 
6.8%
25
 
6.8%
25
 
6.8%
25
 
6.8%
18
 
4.9%
Other values (42) 107
29.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
U 1
 
11.1%
Y 1
 
11.1%
K 1
 
11.1%
S 1
 
11.1%
E 1
 
11.1%
L 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 128
100.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
57.6%
Common 260
40.9%
Latin 9
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
34
 
9.3%
29
 
7.9%
27
 
7.4%
26
 
7.1%
25
 
6.8%
25
 
6.8%
25
 
6.8%
25
 
6.8%
25
 
6.8%
18
 
4.9%
Other values (42) 107
29.2%
Latin
ValueCountFrequency (%)
B 3
33.3%
U 1
 
11.1%
Y 1
 
11.1%
K 1
 
11.1%
S 1
 
11.1%
E 1
 
11.1%
L 1
 
11.1%
Common
ValueCountFrequency (%)
* 128
49.2%
111
42.7%
- 21
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
57.6%
ASCII 269
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 128
47.6%
111
41.3%
- 21
 
7.8%
B 3
 
1.1%
U 1
 
0.4%
Y 1
 
0.4%
K 1
 
0.4%
S 1
 
0.4%
E 1
 
0.4%
L 1
 
0.4%
Hangul
ValueCountFrequency (%)
34
 
9.3%
29
 
7.9%
27
 
7.4%
26
 
7.1%
25
 
6.8%
25
 
6.8%
25
 
6.8%
25
 
6.8%
25
 
6.8%
18
 
4.9%
Other values (42) 107
29.2%

도로명주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T14:33:19.210898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length34.52
Min length24

Characters and Unicode

Total characters863
Distinct characters84
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

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 능동로**길 **-*, *층 (화양동)
2nd row서울특별시 광진구 자양로**길 **-* (중곡동)
3rd row서울특별시 광진구 광나루로**길 *** (구의동)
4th row서울특별시 광진구 광나루로 *** (화양동)
5th row서울특별시 광진구 아차산로**길 **, ***호 (광장동, 청구빌라)
ValueCountFrequency (%)
서울특별시 25
14.7%
광진구 25
14.7%
25
14.7%
11
 
6.5%
11
 
6.5%
구의동 9
 
5.3%
화양동 5
 
2.9%
중곡동 5
 
2.9%
3
 
1.8%
광장동 3
 
1.8%
Other values (40) 48
28.2%
2024-05-11T14:33:19.803762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 150
17.4%
145
16.8%
39
 
4.5%
33
 
3.8%
32
 
3.7%
, 29
 
3.4%
27
 
3.1%
25
 
2.9%
25
 
2.9%
25
 
2.9%
Other values (74) 333
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 473
54.8%
Other Punctuation 179
 
20.7%
Space Separator 145
 
16.8%
Close Punctuation 25
 
2.9%
Open Punctuation 25
 
2.9%
Uppercase Letter 10
 
1.2%
Dash Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
8.2%
33
 
7.0%
32
 
6.8%
27
 
5.7%
25
 
5.3%
25
 
5.3%
25
 
5.3%
25
 
5.3%
25
 
5.3%
25
 
5.3%
Other values (60) 192
40.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
K 1
 
10.0%
Y 1
 
10.0%
E 1
 
10.0%
D 1
 
10.0%
S 1
 
10.0%
L 1
 
10.0%
U 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 150
83.8%
, 29
 
16.2%
Space Separator
ValueCountFrequency (%)
145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 473
54.8%
Common 380
44.0%
Latin 10
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
8.2%
33
 
7.0%
32
 
6.8%
27
 
5.7%
25
 
5.3%
25
 
5.3%
25
 
5.3%
25
 
5.3%
25
 
5.3%
25
 
5.3%
Other values (60) 192
40.6%
Latin
ValueCountFrequency (%)
B 3
30.0%
K 1
 
10.0%
Y 1
 
10.0%
E 1
 
10.0%
D 1
 
10.0%
S 1
 
10.0%
L 1
 
10.0%
U 1
 
10.0%
Common
ValueCountFrequency (%)
* 150
39.5%
145
38.2%
, 29
 
7.6%
) 25
 
6.6%
( 25
 
6.6%
- 6
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 473
54.8%
ASCII 390
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 150
38.5%
145
37.2%
, 29
 
7.4%
) 25
 
6.4%
( 25
 
6.4%
- 6
 
1.5%
B 3
 
0.8%
K 1
 
0.3%
Y 1
 
0.3%
E 1
 
0.3%
Other values (4) 4
 
1.0%
Hangul
ValueCountFrequency (%)
39
 
8.2%
33
 
7.0%
32
 
6.8%
27
 
5.7%
25
 
5.3%
25
 
5.3%
25
 
5.3%
25
 
5.3%
25
 
5.3%
25
 
5.3%
Other values (60) 192
40.6%

도로명우편번호
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38307.88
Minimum4910
Maximum143926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:33:20.022473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4910
5-th percentile4916.8
Q14984
median5041
Q35116
95-th percentile143881.8
Maximum143926
Range139016
Interquartile range (IQR)132

Descriptive statistics

Standard deviation60480.035
Coefficient of variation (CV)1.5787883
Kurtosis-0.35358144
Mean38307.88
Median Absolute Deviation (MAD)66
Skewness1.2967106
Sum957697
Variance3.6578346 × 109
MonotonicityNot monotonic
2024-05-11T14:33:20.236108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
5009 3
 
12.0%
5116 2
 
8.0%
4984 2
 
8.0%
5047 2
 
8.0%
4995 1
 
4.0%
4947 1
 
4.0%
5043 1
 
4.0%
5042 1
 
4.0%
4910 1
 
4.0%
5029 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
4910 1
 
4.0%
4913 1
 
4.0%
4932 1
 
4.0%
4947 1
 
4.0%
4975 1
 
4.0%
4984 2
8.0%
4995 1
 
4.0%
5009 3
12.0%
5029 1
 
4.0%
5041 1
 
4.0%
ValueCountFrequency (%)
143926 1
4.0%
143889 1
4.0%
143853 1
4.0%
143849 1
4.0%
143822 1
4.0%
143210 1
4.0%
5116 2
8.0%
5047 2
8.0%
5043 1
4.0%
5042 1
4.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T14:33:20.579764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length15
Mean length10.92
Min length5

Characters and Unicode

Total characters273
Distinct characters112
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row(주)은하수엔터테인먼트
2nd row마커스 엔터테인먼트
3rd row(주)드림웨스트픽쳐스
4th row우성정밀광학(주)
5th row주식회사 숙컴퍼니 (SOOK Company)
ValueCountFrequency (%)
주식회사 5
 
12.5%
주)은하수엔터테인먼트 1
 
2.5%
주)에이디엠엔터테인먼트(adm 1
 
2.5%
주)리옌엔터테인먼트 1
 
2.5%
케이유시네마테크 1
 
2.5%
디에이치 1
 
2.5%
컴퍼니 1
 
2.5%
21세기자막단 1
 
2.5%
주)아슈비아만화영화푸로덕션 1
 
2.5%
enterment 1
 
2.5%
Other values (26) 26
65.0%
2024-05-11T14:33:21.134816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
5.5%
15
 
5.5%
( 12
 
4.4%
) 12
 
4.4%
9
 
3.3%
8
 
2.9%
7
 
2.6%
7
 
2.6%
6
 
2.2%
6
 
2.2%
Other values (102) 176
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
68.1%
Uppercase Letter 22
 
8.1%
Lowercase Letter 21
 
7.7%
Space Separator 15
 
5.5%
Open Punctuation 12
 
4.4%
Close Punctuation 12
 
4.4%
Other Symbol 3
 
1.1%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
8.1%
9
 
4.8%
8
 
4.3%
7
 
3.8%
7
 
3.8%
6
 
3.2%
6
 
3.2%
5
 
2.7%
5
 
2.7%
5
 
2.7%
Other values (73) 113
60.8%
Uppercase Letter
ValueCountFrequency (%)
E 4
18.2%
T 3
13.6%
N 2
9.1%
L 2
9.1%
M 2
9.1%
D 2
9.1%
O 2
9.1%
R 1
 
4.5%
A 1
 
4.5%
S 1
 
4.5%
Other values (2) 2
9.1%
Lowercase Letter
ValueCountFrequency (%)
n 4
19.0%
e 3
14.3%
t 3
14.3%
a 3
14.3%
m 2
9.5%
k 1
 
4.8%
o 1
 
4.8%
p 1
 
4.8%
y 1
 
4.8%
i 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
69.2%
Latin 43
 
15.8%
Common 41
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
7.9%
9
 
4.8%
8
 
4.2%
7
 
3.7%
7
 
3.7%
6
 
3.2%
6
 
3.2%
5
 
2.6%
5
 
2.6%
5
 
2.6%
Other values (74) 116
61.4%
Latin
ValueCountFrequency (%)
E 4
 
9.3%
n 4
 
9.3%
e 3
 
7.0%
t 3
 
7.0%
a 3
 
7.0%
T 3
 
7.0%
N 2
 
4.7%
L 2
 
4.7%
M 2
 
4.7%
D 2
 
4.7%
Other values (13) 15
34.9%
Common
ValueCountFrequency (%)
15
36.6%
( 12
29.3%
) 12
29.3%
1 1
 
2.4%
2 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
68.1%
ASCII 84
30.8%
None 3
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
15
 
8.1%
9
 
4.8%
8
 
4.3%
7
 
3.8%
7
 
3.8%
6
 
3.2%
6
 
3.2%
5
 
2.7%
5
 
2.7%
5
 
2.7%
Other values (73) 113
60.8%
ASCII
ValueCountFrequency (%)
15
17.9%
( 12
14.3%
) 12
14.3%
E 4
 
4.8%
n 4
 
4.8%
e 3
 
3.6%
t 3
 
3.6%
a 3
 
3.6%
T 3
 
3.6%
N 2
 
2.4%
Other values (18) 23
27.4%
None
ValueCountFrequency (%)
3
100.0%

최종수정일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2012-07-31 15:52:32
Maximum2024-04-11 15:49:40
2024-05-11T14:33:21.346124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:21.557113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
I
17 
U

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 17
68.0%
U 8
32.0%

Length

2024-05-11T14:33:21.774777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:21.941134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 17
68.0%
u 8
32.0%
Distinct17
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:03:00
2024-05-11T14:33:22.079418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:22.230097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(X)
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207530.35
Minimum206278.98
Maximum208973.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:33:22.374583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206278.98
5-th percentile206324.12
Q1206866.46
median207611.12
Q3208051.95
95-th percentile208568.94
Maximum208973.75
Range2694.7656
Interquartile range (IQR)1185.4965

Descriptive statistics

Standard deviation784.13137
Coefficient of variation (CV)0.0037783937
Kurtosis-0.97705873
Mean207530.35
Median Absolute Deviation (MAD)549.92949
Skewness-0.15207417
Sum5188258.7
Variance614862
MonotonicityNot monotonic
2024-05-11T14:33:22.526641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
206324.116092316 2
 
8.0%
208568.939233791 2
 
8.0%
207479.051630104 1
 
4.0%
206278.982112971 1
 
4.0%
208394.416382167 1
 
4.0%
208184.415267738 1
 
4.0%
207342.766106556 1
 
4.0%
207611.123510327 1
 
4.0%
208051.953679058 1
 
4.0%
207080.733577729 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
206278.982112971 1
4.0%
206324.116092316 2
8.0%
206445.881091692 1
4.0%
206601.870862804 1
4.0%
206737.235870492 1
4.0%
206866.457189607 1
4.0%
207080.733577729 1
4.0%
207186.081607754 1
4.0%
207342.766106556 1
4.0%
207479.051630104 1
4.0%
ValueCountFrequency (%)
208973.747735894 1
4.0%
208568.939233791 2
8.0%
208394.416382167 1
4.0%
208184.415267738 1
4.0%
208161.053004524 1
4.0%
208051.953679058 1
4.0%
208027.52542955 1
4.0%
207908.583616035 1
4.0%
207908.535767943 1
4.0%
207874.989426534 1
4.0%

좌표정보(Y)
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449339.68
Minimum447854.81
Maximum451534.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:33:22.695052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447854.81
5-th percentile448199.56
Q1448519.68
median449241.56
Q3449938.52
95-th percentile451238.06
Maximum451534.5
Range3679.6954
Interquartile range (IQR)1418.8452

Descriptive statistics

Standard deviation1014.9107
Coefficient of variation (CV)0.0022586714
Kurtosis-0.26248239
Mean449339.68
Median Absolute Deviation (MAD)721.88467
Skewness0.74948735
Sum11233492
Variance1030043.7
MonotonicityNot monotonic
2024-05-11T14:33:22.868667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
449420.23835582 2
 
8.0%
448921.321944575 2
 
8.0%
451534.501333267 1
 
4.0%
449425.131943862 1
 
4.0%
448165.279999905 1
 
4.0%
450415.998588595 1
 
4.0%
448444.754635481 1
 
4.0%
448519.676712996 1
 
4.0%
447854.805964019 1
 
4.0%
451198.275900371 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
447854.805964019 1
4.0%
448165.279999905 1
4.0%
448336.697668397 1
4.0%
448432.538599618 1
4.0%
448444.754635481 1
4.0%
448453.105116731 1
4.0%
448519.676712996 1
4.0%
448539.699685736 1
4.0%
448574.646234383 1
4.0%
448921.321944575 2
8.0%
ValueCountFrequency (%)
451534.501333267 1
4.0%
451248.005411949 1
4.0%
451198.275900371 1
4.0%
450415.998588595 1
4.0%
450383.782733783 1
4.0%
450141.140233052 1
4.0%
449938.521922193 1
4.0%
449665.080993317 1
4.0%
449425.131943862 1
4.0%
449420.23835582 2
8.0%
Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영화배급업
22 
<NA>

Length

Max length5
Median length5
Mean length4.88
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 22
88.0%
<NA> 3
 
12.0%

Length

2024-05-11T14:33:23.061733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:23.231974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 22
88.0%
na 3
 
12.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T14:33:23.428468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:23.567448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T14:33:23.705595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:23.834363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T14:33:23.969388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:24.136417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T14:33:24.286230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:24.405193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T14:33:24.529333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:24.647001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T14:33:24.783320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:24.910058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T14:33:25.035365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:25.155905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T14:33:25.309808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:25.449686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T14:33:25.625726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:25.786399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean20160155
Minimum20110506
Maximum20220325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T14:33:25.913242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110506
5-th percentile20111129
Q120132918
median20160562
Q320180764
95-th percentile20201013
Maximum20220325
Range109819
Interquartile range (IQR)47845

Descriptive statistics

Standard deviation31206.73
Coefficient of variation (CV)0.001547941
Kurtosis-0.84923946
Mean20160155
Median Absolute Deviation (MAD)24948.5
Skewness0.012933193
Sum4.4352341 × 108
Variance9.7386001 × 108
MonotonicityNot monotonic
2024-05-11T14:33:26.096398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20180315 1
 
4.0%
20220325 1
 
4.0%
20201029 1
 
4.0%
20200706 1
 
4.0%
20160205 1
 
4.0%
20140729 1
 
4.0%
20160719 1
 
4.0%
20190409 1
 
4.0%
20190207 1
 
4.0%
20180814 1
 
4.0%
Other values (12) 12
48.0%
(Missing) 3
 
12.0%
ValueCountFrequency (%)
20110506 1
4.0%
20110624 1
4.0%
20120731 1
4.0%
20121101 1
4.0%
20130314 1
4.0%
20130315 1
4.0%
20140729 1
4.0%
20150408 1
4.0%
20151116 1
4.0%
20160205 1
4.0%
ValueCountFrequency (%)
20220325 1
4.0%
20201029 1
4.0%
20200706 1
4.0%
20190409 1
4.0%
20190207 1
4.0%
20180814 1
4.0%
20180612 1
4.0%
20180315 1
4.0%
20170706 1
4.0%
20161116 1
4.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFF521103201100000120110506<NA>3폐업3폐업20200325<NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 ***-**번지서울특별시 광진구 능동로**길 **-*, *층 (화양동)5009(주)은하수엔터테인먼트2020-03-25 17:17:43U2020-03-27 02:40:00.0<NA>206324.116092449420.238356영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110506<NA>
13040000CDFF521103201200000220120731<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 ***-**번지서울특별시 광진구 자양로**길 **-* (중곡동)143889마커스 엔터테인먼트2012-07-31 15:52:32I2018-08-31 23:59:59.0<NA>207908.535768450141.140233영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120731<NA>
23040000CDFF521103201200000320110624<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 ***-**번지서울특별시 광진구 광나루로**길 *** (구의동)143822(주)드림웨스트픽쳐스2012-08-03 14:43:49I2018-08-31 23:59:59.0<NA>207874.989427448539.699686영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110624<NA>
33040000CDFF521103201200000420121101<NA>1영업/정상13영업중<NA><NA><NA><NA>02-458-3327<NA><NA>서울특별시 광진구 화양동 ***-*번지서울특별시 광진구 광나루로 *** (화양동)143926우성정밀광학(주)2012-11-01 10:30:05I2018-08-31 23:59:59.0<NA>206866.45719449241.561385영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20121101<NA>
43040000CDFF521103201300000120130314<NA>1영업/정상13영업중<NA><NA><NA><NA>02-452-0582<NA><NA>서울특별시 광진구 광장동서울특별시 광진구 아차산로**길 **, ***호 (광장동, 청구빌라)143210주식회사 숙컴퍼니 (SOOK Company)2013-03-14 17:46:23I2018-08-31 23:59:59.0<NA>208973.747736449372.793121영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130314<NA>
53040000CDFF521103201400000120130315<NA>1영업/정상13영업중<NA><NA><NA><NA>031-703-6851<NA><NA>서울특별시 광진구 능동 ***-*번지서울특별시 광진구 천호대로***길 **-* (능동)143849(주)꿈길제작소2014-08-19 14:28:51I2018-08-31 23:59:59.0<NA>207562.80714449938.521922영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130315<NA>
63040000CDFF521103201500000120150408<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 ***-*번지서울특별시 광진구 아차산로 ***, *동 ***호 (자양동)143853레인주니어 픽쳐스2020-03-26 17:39:20U2020-03-28 02:40:00.0<NA>207186.081608448336.697668영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150408<NA>
73040000CDFF521103201500000220151116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 ***-**번지서울특별시 광진구 긴고랑로*길 ** (중곡동)4913주식회사 루스아트2015-11-16 13:06:47I2018-08-31 23:59:59.0<NA>206737.23587451248.005412영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20151116<NA>
83040000CDFF521103201600000120160405<NA>1영업/정상13영업중<NA><NA><NA><NA>02-444-7411<NA><NA>서울특별시 광진구 구의동서울특별시 광진구 자양로 ***, *층 (구의동, 원덕빌딩)4975(주)리틀송2016-04-05 13:44:08I2018-08-31 23:59:59.0<NA>207908.583616449665.080993영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160405<NA>
93040000CDFF521103201600000320161116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 광장동 ***번지 현대아파트 ***동 ****호서울특별시 광진구 아차산로**길 **, ***동 **층 *호 (광장동, 현대아파트)4984㈜디오시네마2017-07-28 18:34:57I2018-08-31 23:59:59.0<NA>208568.939234448921.321945영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20161116<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
153040000CDFF521103201900000120190207<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 *번지 건국대학교 B***호서울특별시 광진구 능동로 ***, 건국대학교 B***호 (화양동)5029케이유시네마테크 주식회사2019-02-07 16:23:58I2019-02-09 02:21:15.0<NA>206445.881092448922.881688영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20190207<NA>
163040000CDFF521103201900000220190409<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 광장동 ***번지 현대아파트 ***동 ****호서울특별시 광진구 아차산로**길 **, ***동 ****호 (광장동, 현대아파트)4984디에이치 컴퍼니2020-04-22 09:09:39U2020-04-24 02:40:00.0<NA>208568.939234448921.321945영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20190409<NA>
173040000CDFF521103201900000320160719<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 ***-**번지 대화탕서울특별시 광진구 긴고랑로 **, 대화탕 *층 (중곡동)491021세기자막단2019-07-12 17:34:47I2019-07-14 02:21:36.0<NA>207080.733578451198.2759영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160719<NA>
183040000CDFF521103201900000420140729<NA>1영업/정상13영업중<NA><NA><NA><NA>02-447-0312<NA><NA>서울특별시 광진구 구의동 ***-*번지 아원빌딩 ***호서울특별시 광진구 구의강변로 **, 아원빌딩 ***호 (구의동)5116(주)아슈비아만화영화푸로덕션2019-08-28 09:11:39I2019-08-29 02:22:25.0<NA>208051.953679447854.805964영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20140729<NA>
193040000CDFF521103201900000520160205<NA>3폐업3폐업20190916<NA><NA><NA>02)742-8800<NA><NA>서울특별시 광진구 화양동 ***-**번지 BLUE SKY서울특별시 광진구 능동로**길 **, BLUE SKY ***호 (화양동)5009(주)에이디엠엔터테인먼트(ADM ENTERMENT)2019-09-16 18:02:26I2019-09-18 02:22:29.0<NA>206324.116092449420.238356영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160205<NA>
203040000CDFF521103202000000220200706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 ***-***서울특별시 광진구 구의로*길 **, 신진빌라 ***호 (구의동)5042필름포커스2020-07-06 22:58:41I2020-07-08 00:23:28.0<NA>207611.12351448519.676713영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200706<NA>
213040000CDFF521103202000000320201029<NA>1영업/정상13영업중<NA><NA><NA><NA>0234377720<NA><NA>서울특별시 광진구 구의동 ***-** 웰츠타워서울특별시 광진구 자양로 ***, ***호 (구의동, 웰츠타워)5043주식회사 지일2020-10-29 13:56:17I2020-10-31 00:23:09.0<NA>207342.766107448444.754635영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20201029<NA>
223040000CDFF521103202200000120220325<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 ***-** 현대하이츠빌라서울특별시 광진구 영화사로*길 **, D동 ***호 (중곡동, 현대하이츠빌라)4947김충길 필름2022-03-25 14:07:15I2022-03-27 00:22:35.0<NA>208184.415268450415.998589영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20220325<NA>
233040000CDFF52110320230000012023-09-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 ***-* 테크노-마트**서울특별시 광진구 광나루로**길 **, 테크노-마트** **층 (구의동)5116(주)대륭2023-09-01 15:50:50I2022-12-09 00:03:00.0<NA>208394.416382448165.28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243040000CDFF52110320240000012024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 ***-* 광진 코지웰서울특별시 광진구 능동로**길 **, **층 ****호 (화양동, 광진 코지웰)5009영화사 혼2024-04-11 15:49:40U2023-12-03 23:03:00.0<NA>206278.982113449425.131944<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>