Overview

Dataset statistics

Number of variables56
Number of observations25
Missing cells673
Missing cells (%)48.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory497.3 B

Variable types

Categorical18
Text5
DateTime3
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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-17643/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (69.6%)Imbalance
소재지우편번호 is highly imbalanced (75.8%)Imbalance
총층수 is highly imbalanced (59.8%)Imbalance
시설면적 is highly imbalanced (59.8%)Imbalance
지상층수 is highly imbalanced (59.8%)Imbalance
지하층수 is highly imbalanced (59.8%)Imbalance
통로너비 is highly imbalanced (59.8%)Imbalance
조명시설조도 is highly imbalanced (59.8%)Imbalance
노래방실수 is highly imbalanced (59.8%)Imbalance
청소년실수 is highly imbalanced (59.8%)Imbalance
총게임기수 is highly imbalanced (59.8%)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 14 (56.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
도로명우편번호 has 3 (12.0%) 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 6 (24.0%) missing valuesMissing
지역구분명 has 25 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:19:17.579573
Analysis finished2024-04-06 12:19:18.969335
Duration1.39 second
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
3160000
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 25
100.0%

Length

2024-04-06T21:19:19.124123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:19.397766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 25
100.0%

관리번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T21:19:19.728331image/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 rowCDFF5211032007000001
2nd rowCDFF5211032008000001
3rd rowCDFF5211032008000002
4th rowCDFF5211032011000001
5th rowCDFF5211032011000002
ValueCountFrequency (%)
cdff5211032007000001 1
 
4.0%
cdff5211032018000001 1
 
4.0%
cdff5211032024000001 1
 
4.0%
cdff5211032023000001 1
 
4.0%
cdff5211032022000002 1
 
4.0%
cdff5211032022000001 1
 
4.0%
cdff5211032021000001 1
 
4.0%
cdff5211032020000001 1
 
4.0%
cdff5211032019000006 1
 
4.0%
cdff5211032019000003 1
 
4.0%
Other values (15) 15
60.0%
2024-04-06T21:19:20.381764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 179
35.8%
1 83
16.6%
2 68
 
13.6%
F 50
 
10.0%
3 28
 
5.6%
5 27
 
5.4%
C 25
 
5.0%
D 25
 
5.0%
4 4
 
0.8%
9 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 (%)
0 179
44.8%
1 83
20.8%
2 68
 
17.0%
3 28
 
7.0%
5 27
 
6.8%
4 4
 
1.0%
9 4
 
1.0%
8 3
 
0.8%
6 3
 
0.8%
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 (%)
0 179
44.8%
1 83
20.8%
2 68
 
17.0%
3 28
 
7.0%
5 27
 
6.8%
4 4
 
1.0%
9 4
 
1.0%
8 3
 
0.8%
6 3
 
0.8%
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 (%)
0 179
35.8%
1 83
16.6%
2 68
 
13.6%
F 50
 
10.0%
3 28
 
5.6%
5 27
 
5.4%
C 25
 
5.0%
D 25
 
5.0%
4 4
 
0.8%
9 4
 
0.8%
Other values (3) 7
 
1.4%

인허가일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2006-07-07 00:00:00
Maximum2024-03-25 00:00:00
2024-04-06T21:19:20.659044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:20.889794image/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

영업상태코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
22 
3
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
88.0%
3 3
 
12.0%

Length

2024-04-06T21:19:21.170105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:21.380430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
88.0%
3 3
 
12.0%

영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
22 
폐업
3 

Length

Max length5
Median length5
Mean length4.64
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 22
88.0%
폐업 3
 
12.0%

Length

2024-04-06T21:19:21.582302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:21.778789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 22
88.0%
폐업 3
 
12.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
13
22 
3
3 

Length

Max length2
Median length2
Mean length1.88
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 22
88.0%
3 3
 
12.0%

Length

2024-04-06T21:19:21.970339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:22.155812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 22
88.0%
3 3
 
12.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
22 
폐업
3 

Length

Max length3
Median length3
Mean length2.88
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 22
88.0%
폐업 3
 
12.0%

Length

2024-04-06T21:19:22.325151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:22.489528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 22
88.0%
폐업 3
 
12.0%

폐업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
20161111
 
1
20210802
 
1

Length

Max length8
Median length4
Mean length4.32
Min length4

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
92.0%
20161111 1
 
4.0%
20210802 1
 
4.0%

Length

2024-04-06T21:19:22.699981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:22.908965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
20161111 1
 
4.0%
20210802 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 

Distinct11
Distinct (%)100.0%
Missing14
Missing (%)56.0%
Memory size332.0 B
2024-04-06T21:19:23.308635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.636364
Min length8

Characters and Unicode

Total characters128
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

Unique11 ?
Unique (%)100.0%

Sample

1st row02-864-5690
2nd row2108-7711~5
3rd row21035433
4th row02-2111-1130
5th row02-6220-6450
ValueCountFrequency (%)
02-864-5690 1
9.1%
2108-7711~5 1
9.1%
21035433 1
9.1%
02-2111-1130 1
9.1%
02-6220-6450 1
9.1%
02-6670-7751 1
9.1%
02-3282-9500 1
9.1%
02-2108-7090 1
9.1%
02-6216-6000 1
9.1%
070-4177-0224 1
9.1%
2024-04-06T21:19:23.947082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
21.1%
2 19
14.8%
- 19
14.8%
1 13
10.2%
7 13
10.2%
6 10
 
7.8%
5 7
 
5.5%
4 6
 
4.7%
3 6
 
4.7%
8 4
 
3.1%
Other values (2) 4
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
84.4%
Dash Punctuation 19
 
14.8%
Math Symbol 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
25.0%
2 19
17.6%
1 13
12.0%
7 13
12.0%
6 10
 
9.3%
5 7
 
6.5%
4 6
 
5.6%
3 6
 
5.6%
8 4
 
3.7%
9 3
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 128
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
21.1%
2 19
14.8%
- 19
14.8%
1 13
10.2%
7 13
10.2%
6 10
 
7.8%
5 7
 
5.5%
4 6
 
4.7%
3 6
 
4.7%
8 4
 
3.1%
Other values (2) 4
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
21.1%
2 19
14.8%
- 19
14.8%
1 13
10.2%
7 13
10.2%
6 10
 
7.8%
5 7
 
5.5%
4 6
 
4.7%
3 6
 
4.7%
8 4
 
3.1%
Other values (2) 4
 
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
152769
 
1

Length

Max length6
Median length4
Mean length4.08
Min length4

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row<NA>
2nd row152769
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
152769 1
 
4.0%

Length

2024-04-06T21:19:24.291286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:24.503523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
152769 1
 
4.0%

지번주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T21:19:24.891629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length30.28
Min length18

Characters and Unicode

Total characters757
Distinct characters73
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row서울특별시 구로구 구로동 ***-* 대륭포스트타워*차
2nd row서울특별시 구로구 구로동 ***-*번지 우림이비지센터*차빌딩 ***호
3rd row서울특별시 구로구 항동 *번지 유승빌리지 ***-***
4th row서울특별시 구로구 구로동 ***번지 한신IT타워 ***,***호
5th row서울특별시 구로구 구로동 ***-*번지 코오롱디지털타워빌란트 ****호
ValueCountFrequency (%)
서울특별시 25
18.5%
구로구 25
18.5%
구로동 19
14.1%
번지 13
9.6%
13
9.6%
호 11
8.1%
대륭포스트타워*차 4
 
3.0%
이스페이스 2
 
1.5%
온수동 2
 
1.5%
항동 2
 
1.5%
Other values (19) 19
14.1%
2024-04-06T21:19:25.579953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 149
19.7%
120
15.9%
구 69
 
9.1%
로 45
 
5.9%
서 25
 
3.3%
울 25
 
3.3%
특 25
 
3.3%
별 25
 
3.3%
시 25
 
3.3%
동 25
 
3.3%
Other values (63) 224
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 465
61.4%
Other Punctuation 150
 
19.8%
Space Separator 120
 
15.9%
Dash Punctuation 19
 
2.5%
Uppercase Letter 2
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 69
14.8%
로 45
 
9.7%
서 25
 
5.4%
울 25
 
5.4%
특 25
 
5.4%
별 25
 
5.4%
시 25
 
5.4%
동 25
 
5.4%
지 16
 
3.4%
번 13
 
2.8%
Other values (56) 172
37.0%
Other Punctuation
ValueCountFrequency (%)
* 149
99.3%
, 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 465
61.4%
Common 289
38.2%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 69
14.8%
로 45
 
9.7%
서 25
 
5.4%
울 25
 
5.4%
특 25
 
5.4%
별 25
 
5.4%
시 25
 
5.4%
동 25
 
5.4%
지 16
 
3.4%
번 13
 
2.8%
Other values (56) 172
37.0%
Common
ValueCountFrequency (%)
* 149
51.6%
120
41.5%
- 19
 
6.6%
, 1
 
0.3%
Latin
ValueCountFrequency (%)
Ⅲ 1
33.3%
I 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 465
61.4%
ASCII 291
38.4%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 149
51.2%
120
41.2%
- 19
 
6.5%
I 1
 
0.3%
T 1
 
0.3%
, 1
 
0.3%
Hangul
ValueCountFrequency (%)
구 69
14.8%
로 45
 
9.7%
서 25
 
5.4%
울 25
 
5.4%
특 25
 
5.4%
별 25
 
5.4%
시 25
 
5.4%
동 25
 
5.4%
지 16
 
3.4%
번 13
 
2.8%
Other values (56) 172
37.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T21:19:26.332118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length40.4
Min length29

Characters and Unicode

Total characters1010
Distinct characters87
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

Unique23 ?
Unique (%)92.0%

Sample

1st row서울특별시 구로구 디지털로 ***, 대륭포스트타워*차 ***호 (구로동)
2nd row서울특별시 구로구 디지털로**길 ** (구로동,우림이비지센터*차빌딩 ***호)
3rd row서울특별시 구로구 연동로 ***-* (항동,유승빌리지 ***-***)
4th row서울특별시 구로구 디지털로 ***, ***,***호 (구로동,한신IT타워)
5th row서울특별시 구로구 디지털로**길 **, ****호 (코오롱디지털타워빌란트*차)
ValueCountFrequency (%)
26
14.9%
서울특별시 25
14.3%
구로구 25
14.3%
호 18
10.3%
구로동 16
9.1%
디지털로**길 9
 
5.1%
디지털로 8
 
4.6%
층 7
 
4.0%
대륭포스트타워*차 5
 
2.9%
온수동 2
 
1.1%
Other values (33) 34
19.4%
2024-04-06T21:19:27.125959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 187
18.5%
152
15.0%
로 70
 
6.9%
구 69
 
6.8%
, 35
 
3.5%
동 26
 
2.6%
서 25
 
2.5%
울 25
 
2.5%
) 25
 
2.5%
( 25
 
2.5%
Other values (77) 371
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 576
57.0%
Other Punctuation 222
 
22.0%
Space Separator 152
 
15.0%
Close Punctuation 25
 
2.5%
Open Punctuation 25
 
2.5%
Dash Punctuation 5
 
0.5%
Uppercase Letter 4
 
0.4%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 70
 
12.2%
구 69
 
12.0%
동 26
 
4.5%
서 25
 
4.3%
울 25
 
4.3%
시 25
 
4.3%
별 25
 
4.3%
특 25
 
4.3%
호 21
 
3.6%
지 20
 
3.5%
Other values (66) 245
42.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
R 1
25.0%
T 1
25.0%
I 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 187
84.2%
, 35
 
15.8%
Space Separator
ValueCountFrequency (%)
152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 576
57.0%
Common 429
42.5%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 70
 
12.2%
구 69
 
12.0%
동 26
 
4.5%
서 25
 
4.3%
울 25
 
4.3%
시 25
 
4.3%
별 25
 
4.3%
특 25
 
4.3%
호 21
 
3.6%
지 20
 
3.5%
Other values (66) 245
42.5%
Common
ValueCountFrequency (%)
* 187
43.6%
152
35.4%
, 35
 
8.2%
) 25
 
5.8%
( 25
 
5.8%
- 5
 
1.2%
Latin
ValueCountFrequency (%)
B 1
20.0%
Ⅲ 1
20.0%
R 1
20.0%
T 1
20.0%
I 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 576
57.0%
ASCII 433
42.9%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 187
43.2%
152
35.1%
, 35
 
8.1%
) 25
 
5.8%
( 25
 
5.8%
- 5
 
1.2%
B 1
 
0.2%
R 1
 
0.2%
T 1
 
0.2%
I 1
 
0.2%
Hangul
ValueCountFrequency (%)
로 70
 
12.2%
구 69
 
12.0%
동 26
 
4.5%
서 25
 
4.3%
울 25
 
4.3%
시 25
 
4.3%
별 25
 
4.3%
특 25
 
4.3%
호 21
 
3.6%
지 20
 
3.5%
Other values (66) 245
42.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)68.2%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean47735.727
Minimum8211
Maximum152858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T21:19:27.377645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8211
5-th percentile8254.3
Q18377.25
median8390
Q3116637.75
95-th percentile152776.55
Maximum152858
Range144647
Interquartile range (IQR)108260.5

Descriptive statistics

Standard deviation65830.294
Coefficient of variation (CV)1.3790571
Kurtosis-0.8865125
Mean47735.727
Median Absolute Deviation (MAD)21
Skewness1.0968687
Sum1050186
Variance4.3336276 × 109
MonotonicityNot monotonic
2024-04-06T21:19:27.631469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
8390 5
20.0%
8381 3
12.0%
8260 2
 
8.0%
152777 1
 
4.0%
152858 1
 
4.0%
152725 1
 
4.0%
152740 1
 
4.0%
152719 1
 
4.0%
152768 1
 
4.0%
8389 1
 
4.0%
Other values (5) 5
20.0%
(Missing) 3
12.0%
ValueCountFrequency (%)
8211 1
 
4.0%
8254 1
 
4.0%
8260 2
 
8.0%
8362 1
 
4.0%
8376 1
 
4.0%
8381 3
12.0%
8389 1
 
4.0%
8390 5
20.0%
8394 1
 
4.0%
152719 1
 
4.0%
ValueCountFrequency (%)
152858 1
 
4.0%
152777 1
 
4.0%
152768 1
 
4.0%
152740 1
 
4.0%
152725 1
 
4.0%
152719 1
 
4.0%
8394 1
 
4.0%
8390 5
20.0%
8389 1
 
4.0%
8381 3
12.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T21:19:28.109097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.56
Min length3

Characters and Unicode

Total characters214
Distinct characters83
Distinct categories4 ?
Distinct scripts2 ?
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 row(주)지앤지엔터테인먼트
2nd row라틴시네마(주)
3rd row(주)더줌픽쳐스
4th row(주)드림한스
5th row(주)엔터칸
ValueCountFrequency (%)
주식회사 8
23.5%
주)지앤지엔터테인먼트 1
 
2.9%
주)까르떼디엠 1
 
2.9%
바른미디어 1
 
2.9%
투비플랫폼 1
 
2.9%
주)맑은시네마 1
 
2.9%
더쿱디스트리뷰션 1
 
2.9%
주)상상방 1
 
2.9%
스튜디오척 1
 
2.9%
주)팀씨 1
 
2.9%
Other values (17) 17
50.0%
2024-04-06T21:19:28.723662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
9.3%
( 12
 
5.6%
) 12
 
5.6%
스 11
 
5.1%
9
 
4.2%
사 9
 
4.2%
회 9
 
4.2%
식 9
 
4.2%
디 7
 
3.3%
이 7
 
3.3%
Other values (73) 109
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
84.6%
Open Punctuation 12
 
5.6%
Close Punctuation 12
 
5.6%
Space Separator 9
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
11.0%
스 11
 
6.1%
사 9
 
5.0%
회 9
 
5.0%
식 9
 
5.0%
디 7
 
3.9%
이 7
 
3.9%
더 4
 
2.2%
에 3
 
1.7%
어 3
 
1.7%
Other values (70) 99
54.7%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 181
84.6%
Common 33
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
11.0%
스 11
 
6.1%
사 9
 
5.0%
회 9
 
5.0%
식 9
 
5.0%
디 7
 
3.9%
이 7
 
3.9%
더 4
 
2.2%
에 3
 
1.7%
어 3
 
1.7%
Other values (70) 99
54.7%
Common
ValueCountFrequency (%)
( 12
36.4%
) 12
36.4%
9
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181
84.6%
ASCII 33
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
11.0%
스 11
 
6.1%
사 9
 
5.0%
회 9
 
5.0%
식 9
 
5.0%
디 7
 
3.9%
이 7
 
3.9%
더 4
 
2.2%
에 3
 
1.7%
어 3
 
1.7%
Other values (70) 99
54.7%
ASCII
ValueCountFrequency (%)
( 12
36.4%
) 12
36.4%
9
27.3%

최종수정일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2010-04-29 14:32:20
Maximum2024-03-25 15:10:22
2024-04-06T21:19:28.991617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:29.260910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
I
17 
U
8 

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

2024-04-06T21:19:29.499697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:29.680962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 17
68.0%
u 8
32.0%

데이터갱신일자
Date

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:07:00
2024-04-06T21:19:29.855673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:30.056722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189279.64
Minimum183807.12
Maximum190776.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T21:19:30.283891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183807.12
5-th percentile184299.47
Q1189755.82
median190491.83
Q3190680.54
95-th percentile190729.03
Maximum190776.47
Range6969.3504
Interquartile range (IQR)924.7157

Descriptive statistics

Standard deviation2468.6728
Coefficient of variation (CV)0.013042464
Kurtosis0.75860869
Mean189279.64
Median Absolute Deviation (MAD)188.70379
Skewness-1.5947322
Sum4731991.1
Variance6094345.6
MonotonicityNot monotonic
2024-04-06T21:19:30.614846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
190680.536850936 5
20.0%
190423.216683488 2
 
8.0%
190594.904645635 2
 
8.0%
184333.781102949 1
 
4.0%
183807.118188697 1
 
4.0%
190496.447846852 1
 
4.0%
189372.1910653 1
 
4.0%
190447.424985193 1
 
4.0%
185761.660901387 1
 
4.0%
190491.833060361 1
 
4.0%
Other values (9) 9
36.0%
ValueCountFrequency (%)
183807.118188697 1
4.0%
184290.893400642 1
4.0%
184333.781102949 1
4.0%
184383.220247235 1
4.0%
185761.660901387 1
4.0%
189372.1910653 1
4.0%
189755.821150409 1
4.0%
190232.524534335 1
4.0%
190423.216683488 2
8.0%
190447.424985193 1
4.0%
ValueCountFrequency (%)
190776.468544178 1
 
4.0%
190741.158117503 1
 
4.0%
190680.536850936 5
20.0%
190676.946162959 1
 
4.0%
190594.904645635 2
 
8.0%
190504.7782409 1
 
4.0%
190496.447846852 1
 
4.0%
190491.833060361 1
 
4.0%
190479.902194476 1
 
4.0%
190447.424985193 1
 
4.0%

좌표정보(Y)
Real number (ℝ)

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442778.43
Minimum441599.36
Maximum444978.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T21:19:30.862287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441599.36
5-th percentile442079.94
Q1442370.14
median442403.57
Q3442751.42
95-th percentile444695.52
Maximum444978.68
Range3379.3277
Interquartile range (IQR)381.27584

Descriptive statistics

Standard deviation847.87316
Coefficient of variation (CV)0.0019148926
Kurtosis1.6633445
Mean442778.43
Median Absolute Deviation (MAD)248.57531
Skewness1.4889139
Sum11069461
Variance718888.89
MonotonicityNot monotonic
2024-04-06T21:19:31.111806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
442392.645303533 5
20.0%
442403.568114284 2
 
8.0%
442261.654499191 2
 
8.0%
443429.845696889 1
 
4.0%
441599.355055656 1
 
4.0%
442645.330573628 1
 
4.0%
444854.451693268 1
 
4.0%
442071.447779897 1
 
4.0%
443806.178568456 1
 
4.0%
442477.332680657 1
 
4.0%
Other values (9) 9
36.0%
ValueCountFrequency (%)
441599.355055656 1
 
4.0%
442071.447779897 1
 
4.0%
442113.916061607 1
 
4.0%
442154.992807483 1
 
4.0%
442261.654499191 2
 
8.0%
442370.143700207 1
 
4.0%
442392.645303533 5
20.0%
442403.568114284 2
 
8.0%
442477.332680657 1
 
4.0%
442645.330573628 1
 
4.0%
ValueCountFrequency (%)
444978.682746138 1
4.0%
444854.451693268 1
4.0%
444059.784684355 1
4.0%
443806.178568456 1
4.0%
443429.845696889 1
4.0%
443423.580038181 1
4.0%
442751.419539641 1
4.0%
442727.322859296 1
4.0%
442703.311770946 1
4.0%
442645.330573628 1
4.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영화배급업
19 
<NA>
6 

Length

Max length5
Median length5
Mean length4.76
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 19
76.0%
<NA> 6
 
24.0%

Length

2024-04-06T21:19:31.370435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:31.567832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 19
76.0%
na 6
 
24.0%

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>
23 
0
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
0 2
 
8.0%

Length

2024-04-06T21:19:31.797638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:31.997820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
0 2
 
8.0%

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>
23 
0
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
0 2
 
8.0%

Length

2024-04-06T21:19:32.200961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:32.392752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
0 2
 
8.0%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
0
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
0 2
 
8.0%

Length

2024-04-06T21:19:32.601302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:32.769358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
0 2
 
8.0%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
0
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
0 2
 
8.0%

Length

2024-04-06T21:19:33.003530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:33.222865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
0 2
 
8.0%

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>
23 
0
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
0 2
 
8.0%

Length

2024-04-06T21:19:33.460920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:33.668833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
0 2
 
8.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
0
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
0 2
 
8.0%

Length

2024-04-06T21:19:33.904261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:34.134635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
0 2
 
8.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
0
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
0 2
 
8.0%

Length

2024-04-06T21:19:34.360652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:34.561641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
0 2
 
8.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
0
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
0 2
 
8.0%

Length

2024-04-06T21:19:34.760516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:34.977453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
0 2
 
8.0%

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>
23 
0
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
0 2
 
8.0%

Length

2024-04-06T21:19:35.220131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:35.425363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
0 2
 
8.0%

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 

Distinct19
Distinct (%)100.0%
Missing6
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean20139989
Minimum20060707
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T21:19:35.639379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060707
5-th percentile20069635
Q120110812
median20141030
Q320175408
95-th percentile20201227
Maximum20210429
Range149722
Interquartile range (IQR)64596.5

Descriptive statistics

Standard deviation45677.294
Coefficient of variation (CV)0.00226799
Kurtosis-0.95393046
Mean20139989
Median Absolute Deviation (MAD)30611
Skewness-0.21911338
Sum3.8265979 × 108
Variance2.0864151 × 109
MonotonicityNot monotonic
2024-04-06T21:19:35.925481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20080331 1
 
4.0%
20210429 1
 
4.0%
20200205 1
 
4.0%
20191223 1
 
4.0%
20190128 1
 
4.0%
20190109 1
 
4.0%
20140701 1
 
4.0%
20160708 1
 
4.0%
20160204 1
 
4.0%
20070627 1
 
4.0%
Other values (9) 9
36.0%
(Missing) 6
24.0%
ValueCountFrequency (%)
20060707 1
4.0%
20070627 1
4.0%
20080331 1
4.0%
20080725 1
4.0%
20110419 1
4.0%
20111205 1
4.0%
20120203 1
4.0%
20140128 1
4.0%
20140701 1
4.0%
20141030 1
4.0%
ValueCountFrequency (%)
20210429 1
4.0%
20200205 1
4.0%
20191223 1
4.0%
20190128 1
4.0%
20190109 1
4.0%
20160708 1
4.0%
20160204 1
4.0%
20150401 1
4.0%
20150309 1
4.0%
20141030 1
4.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF521103200700000120070627<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 대륭포스트타워*차서울특별시 구로구 디지털로 ***, 대륭포스트타워*차 ***호 (구로동)8390(주)지앤지엔터테인먼트2021-04-21 18:22:14U2021-04-23 02:40:00.0<NA>190680.536851442392.645304영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070627<NA>
13160000CDFF521103200800000120080331<NA>1영업/정상13영업중<NA><NA><NA><NA>02-864-5690<NA>152769서울특별시 구로구 구로동 ***-*번지 우림이비지센터*차빌딩 ***호서울특별시 구로구 디지털로**길 ** (구로동,우림이비지센터*차빌딩 ***호)<NA>라틴시네마(주)2010-04-29 14:32:20I2018-08-31 23:59:59.0<NA>190741.158118442703.311771영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080331<NA>
23160000CDFF521103200800000220080725<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 항동 *번지 유승빌리지 ***-***서울특별시 구로구 연동로 ***-* (항동,유승빌리지 ***-***)<NA>(주)더줌픽쳐스2017-01-18 14:42:10I2018-08-31 23:59:59.0<NA>184383.220247442727.322859영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080725<NA>
33160000CDFF521103201100000120110419<NA>1영업/정상13영업중<NA><NA><NA><NA>2108-7711~5<NA><NA>서울특별시 구로구 구로동 ***번지 한신IT타워 ***,***호서울특별시 구로구 디지털로 ***, ***,***호 (구로동,한신IT타워)<NA>(주)드림한스2011-04-19 15:07:42I2018-08-31 23:59:59.0<NA>190594.904646442261.654499영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110419<NA>
43160000CDFF521103201100000220111205<NA>1영업/정상13영업중<NA><NA><NA><NA>21035433<NA><NA>서울특별시 구로구 구로동 ***-*번지 코오롱디지털타워빌란트 ****호서울특별시 구로구 디지털로**길 **, ****호 (코오롱디지털타워빌란트*차)152777(주)엔터칸2011-12-05 10:24:05I2018-08-31 23:59:59.0<NA>190776.468544442370.1437영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20111205<NA>
53160000CDFF521103201200000120120203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***번지 재남빌딩 ***호서울특별시 구로구 구로중앙로**길 **, ***호 (구로동, 재남빌딩)152858원더넷2012-02-03 10:36:55I2018-08-31 23:59:59.0<NA>189755.82115444059.784684영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120203<NA>
63160000CDFF521103201300000120060707<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2111-1130<NA><NA>서울특별시 구로구 구로동 *-**번지 신도림테크노마트 **층서울특별시 구로구 새말로 **, **층 (구로동, 신도림테크노마트)152725주식회사 훈영2017-06-14 09:02:53I2018-08-31 23:59:59.0<NA>190232.524534444978.682746영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060707<NA>
73160000CDFF521103201400000120140128<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 온수동 **-* 초이락빌딩서울특별시 구로구 부일로*길 *, 초이락빌딩 (온수동)8260(주)초이락홀딩스2022-01-17 13:24:55U2022-01-19 02:40:00.0<NA>184290.893401443423.580038영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20140128<NA>
83160000CDFF521103201400000220141030<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6220-6450<NA><NA>서울특별시 구로구 구로동 ***-*번지 에이스하이엔드타워 ****호서울특별시 구로구 디지털로**길 *, ****호 (구로동, 에이스하이엔드타워)152740(주)원글로벌미디어코리아2014-11-04 13:56:21I2018-08-31 23:59:59.0<NA>190504.778241442154.992807영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20141030<NA>
93160000CDFF521103201500000120150309<NA>3폐업3폐업20161111<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 디지털로**길 **, **층 ****호 (구로동)152719에이스엑스디2016-11-11 16:51:59I2018-08-31 23:59:59.0<NA>190479.902194442751.41954영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150309<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
153160000CDFF521103201900000220190124<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-** 에이스테크노타워Ⅲ서울특별시 구로구 디지털로**길 **, 에이스테크노타워Ⅲ ***호, 엔**호 (구로동)8381주식회사 언더식스티2022-05-06 10:16:13U2021-12-05 00:08:00.0<NA>190491.83306442477.332681<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163160000CDFF521103201900000320190128<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 *-*번지 한백고은아파트 ***호서울특별시 구로구 고척로 **, ***호 (오류동, 한백고은아파트)8254유한회사 헤이데이웍스2020-01-02 20:48:19U2020-01-04 02:40:00.0<NA>185761.660901443806.178568영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20190128<NA>
173160000CDFF521103201900000620191223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***번지 한화비즈메트로*차 ****호서울특별시 구로구 디지털로 ***, 한화비즈메트로*차 **층 ****호 (구로동)8394(주)팀씨2019-12-23 13:01:42I2019-12-25 00:23:26.0<NA>190447.424985442071.44778영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20191223<NA>
183160000CDFF521103202000000120200205<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 *** 신도림 대림아파트서울특별시 구로구 신도림로 **, ***동 ****호 (신도림동, 신도림 대림아파트)8211주식회사 스튜디오척2020-12-17 17:39:11U2020-12-19 02:40:00.0<NA>189372.191065444854.451693영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200205<NA>
193160000CDFF521103202100000120210429<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2108-7090<NA><NA>서울특별시 구로구 구로동 ***-* 대륭포스트타워*차 ***호서울특별시 구로구 디지털로 ***, 대륭포스트타워*차 ***호 (구로동)8390(주)상상방2021-04-29 18:11:42I2021-05-01 00:23:12.0<NA>190680.536851442392.645304영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20210429<NA>
203160000CDFF52110320220000012022-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6216-6000<NA><NA>서울특별시 구로구 구로동 ***-* 대륭포스트타워*차서울특별시 구로구 디지털로 ***, 대륭포스트타워*차 ***-R***호 (구로동)8390주식회사 더쿱디스트리뷰션2024-02-26 14:46:55U2023-12-01 22:09:00.0<NA>190680.536851442392.645304<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213160000CDFF521103202200000220220608<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4177-0224<NA><NA>서울특별시 구로구 구로동 ***-* 대륭포스트타워*차 ****호서울특별시 구로구 디지털로 ***, 대륭포스트타워*차 ****호 (구로동)8390(주)맑은시네마2022-06-08 11:34:19I2021-12-05 23:00:00.0<NA>190680.536851442392.645304<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223160000CDFF52110320230000012023-08-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-** 에이스테크노타워*차서울특별시 구로구 디지털로**길 **-*, 에이스테크노타워*차 ****호 (구로동)8376투비플랫폼2023-08-25 17:02:22I2022-12-07 22:07:00.0<NA>190496.447847442645.330574<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233160000CDFF52110320240000012024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7542-7763<NA><NA>서울특별시 구로구 항동 ***-*서울특별시 구로구 부광로 **-*, ***호 (항동)8362바른미디어2024-02-14 10:57:40I2023-12-01 23:07:00.0<NA>183807.118189441599.355056<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243160000CDFF52110320240000022024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 온수동 **-* 메카드빌딩서울특별시 구로구 부일로 ***, 메카드빌딩 *층 (온수동)8260주식회사 초이락미디어2024-03-25 15:10:22I2023-12-02 22:07:00.0<NA>184333.781103443429.845697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>