Overview

Dataset statistics

Number of variables56
Number of observations93
Missing cells2675
Missing cells (%)51.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.7 KiB
Average record size in memory492.4 B

Variable types

Categorical17
Text5
DateTime3
Unsupported26
Numeric5

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-17743/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (71.6%)Imbalance
영업상태명 is highly imbalanced (71.6%)Imbalance
상세영업상태코드 is highly imbalanced (71.6%)Imbalance
상세영업상태명 is highly imbalanced (71.6%)Imbalance
총층수 is highly imbalanced (65.5%)Imbalance
시설면적 is highly imbalanced (65.5%)Imbalance
지상층수 is highly imbalanced (65.5%)Imbalance
지하층수 is highly imbalanced (65.5%)Imbalance
통로너비 is highly imbalanced (65.5%)Imbalance
조명시설조도 is highly imbalanced (65.5%)Imbalance
노래방실수 is highly imbalanced (65.5%)Imbalance
청소년실수 is highly imbalanced (65.5%)Imbalance
총게임기수 is highly imbalanced (65.5%)Imbalance
인허가취소일자 has 93 (100.0%) missing valuesMissing
폐업일자 has 88 (94.6%) missing valuesMissing
휴업시작일자 has 93 (100.0%) missing valuesMissing
휴업종료일자 has 93 (100.0%) missing valuesMissing
재개업일자 has 93 (100.0%) missing valuesMissing
전화번호 has 47 (50.5%) missing valuesMissing
소재지면적 has 93 (100.0%) missing valuesMissing
소재지우편번호 has 79 (84.9%) missing valuesMissing
도로명주소 has 3 (3.2%) missing valuesMissing
도로명우편번호 has 17 (18.3%) missing valuesMissing
업태구분명 has 93 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.2%) missing valuesMissing
좌표정보(Y) has 2 (2.2%) missing valuesMissing
문화사업자구분명 has 93 (100.0%) missing valuesMissing
주변환경명 has 93 (100.0%) missing valuesMissing
제작취급품목내용 has 93 (100.0%) missing valuesMissing
건물용도명 has 93 (100.0%) missing valuesMissing
비상계단여부 has 93 (100.0%) missing valuesMissing
비상구여부 has 93 (100.0%) missing valuesMissing
자동환기여부 has 93 (100.0%) missing valuesMissing
청소년실여부 has 93 (100.0%) missing valuesMissing
특수조명여부 has 93 (100.0%) missing valuesMissing
방음시설여부 has 93 (100.0%) missing valuesMissing
비디오재생기명 has 93 (100.0%) missing valuesMissing
조명시설유무 has 93 (100.0%) missing valuesMissing
음향시설여부 has 93 (100.0%) missing valuesMissing
편의시설여부 has 93 (100.0%) missing valuesMissing
소방시설여부 has 93 (100.0%) missing valuesMissing
기존게임업외업종명 has 93 (100.0%) missing valuesMissing
제공게임물명 has 93 (100.0%) missing valuesMissing
공연장형태구분명 has 93 (100.0%) missing valuesMissing
품목명 has 93 (100.0%) missing valuesMissing
최초등록시점 has 19 (20.4%) missing valuesMissing
지역구분명 has 93 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:49:28.891889
Analysis finished2024-04-06 12:49:30.005197
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
3160000
93 

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 93
100.0%

Length

2024-04-06T21:49:30.147000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:30.336544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 93
100.0%

관리번호
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-04-06T21:49:30.645716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1860
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

Unique93 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011995000001
2nd rowCDFF5211012000000001
3rd rowCDFF5211012000000002
4th rowCDFF5211012000000003
5th rowCDFF5211012001000001
ValueCountFrequency (%)
cdff5211011995000001 1
 
1.1%
cdff5211012016000009 1
 
1.1%
cdff5211012020000001 1
 
1.1%
cdff5211012019000007 1
 
1.1%
cdff5211012019000005 1
 
1.1%
cdff5211012019000004 1
 
1.1%
cdff5211012019000003 1
 
1.1%
cdff5211012019000002 1
 
1.1%
cdff5211012019000001 1
 
1.1%
cdff5211012018000010 1
 
1.1%
Other values (83) 83
89.2%
2024-04-06T21:49:31.299668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 674
36.2%
1 362
19.5%
2 233
 
12.5%
F 186
 
10.0%
5 111
 
6.0%
C 93
 
5.0%
D 93
 
5.0%
4 27
 
1.5%
3 22
 
1.2%
6 17
 
0.9%
Other values (3) 42
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1488
80.0%
Uppercase Letter 372
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 674
45.3%
1 362
24.3%
2 233
 
15.7%
5 111
 
7.5%
4 27
 
1.8%
3 22
 
1.5%
6 17
 
1.1%
8 17
 
1.1%
7 14
 
0.9%
9 11
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 186
50.0%
C 93
25.0%
D 93
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1488
80.0%
Latin 372
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 674
45.3%
1 362
24.3%
2 233
 
15.7%
5 111
 
7.5%
4 27
 
1.8%
3 22
 
1.5%
6 17
 
1.1%
8 17
 
1.1%
7 14
 
0.9%
9 11
 
0.7%
Latin
ValueCountFrequency (%)
F 186
50.0%
C 93
25.0%
D 93
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 674
36.2%
1 362
19.5%
2 233
 
12.5%
F 186
 
10.0%
5 111
 
6.0%
C 93
 
5.0%
D 93
 
5.0%
4 27
 
1.5%
3 22
 
1.2%
6 17
 
0.9%
Other values (3) 42
 
2.3%

인허가일자
Date

Distinct90
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum1995-02-20 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T21:49:31.597671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:49:31.868254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
86 
3
 
5
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 86
92.5%
3 5
 
5.4%
5 2
 
2.2%

Length

2024-04-06T21:49:32.130754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:32.335088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 86
92.5%
3 5
 
5.4%
5 2
 
2.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
영업/정상
86 
폐업
 
5
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.9032258
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 86
92.5%
폐업 5
 
5.4%
제외/삭제/전출 2
 
2.2%

Length

2024-04-06T21:49:32.578784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:32.793565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 86
92.5%
폐업 5
 
5.4%
제외/삭제/전출 2
 
2.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
13
86 
3
 
5
15
 
2

Length

Max length2
Median length2
Mean length1.9462366
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 86
92.5%
3 5
 
5.4%
15 2
 
2.2%

Length

2024-04-06T21:49:33.014448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:33.208457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 86
92.5%
3 5
 
5.4%
15 2
 
2.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
영업중
86 
폐업
 
5
전출
 
2

Length

Max length3
Median length3
Mean length2.9247312
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 86
92.5%
폐업 5
 
5.4%
전출 2
 
2.2%

Length

2024-04-06T21:49:33.455426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:33.662362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 86
92.5%
폐업 5
 
5.4%
전출 2
 
2.2%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing88
Missing (%)94.6%
Memory size876.0 B
Minimum2020-07-07 00:00:00
Maximum2024-02-27 00:00:00
2024-04-06T21:49:33.860240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:49:34.060605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

전화번호
Text

MISSING 

Distinct44
Distinct (%)95.7%
Missing47
Missing (%)50.5%
Memory size876.0 B
2024-04-06T21:49:34.474027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.456522
Min length8

Characters and Unicode

Total characters527
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)91.3%

Sample

1st row02-839-2212
2nd row02-779-0125
3rd row02-2108-7711
4th row02-688-6109
5th row02-3282-9500
ValueCountFrequency (%)
02-516-0303 2
 
4.3%
02-3282-9500 2
 
4.3%
878-3167 1
 
2.2%
02-839-2212 1
 
2.2%
025087755 1
 
2.2%
02-6670-7751 1
 
2.2%
02-2103-8010 1
 
2.2%
02-508-6858 1
 
2.2%
02-2057-6166 1
 
2.2%
070-7500-0397 1
 
2.2%
Other values (34) 34
73.9%
2024-04-06T21:49:35.235999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 109
20.7%
- 84
15.9%
2 82
15.6%
7 43
 
8.2%
1 41
 
7.8%
6 39
 
7.4%
8 38
 
7.2%
5 29
 
5.5%
3 28
 
5.3%
9 21
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 443
84.1%
Dash Punctuation 84
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 109
24.6%
2 82
18.5%
7 43
 
9.7%
1 41
 
9.3%
6 39
 
8.8%
8 38
 
8.6%
5 29
 
6.5%
3 28
 
6.3%
9 21
 
4.7%
4 13
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 527
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 109
20.7%
- 84
15.9%
2 82
15.6%
7 43
 
8.2%
1 41
 
7.8%
6 39
 
7.4%
8 38
 
7.2%
5 29
 
5.5%
3 28
 
5.3%
9 21
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 109
20.7%
- 84
15.9%
2 82
15.6%
7 43
 
8.2%
1 41
 
7.8%
6 39
 
7.4%
8 38
 
7.2%
5 29
 
5.5%
3 28
 
5.3%
9 21
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)71.4%
Missing79
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean152734.36
Minimum152055
Maximum152880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-04-06T21:49:35.528000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152055
5-th percentile152103.75
Q1152820
median152841.5
Q3152848
95-th percentile152861.15
Maximum152880
Range825
Interquartile range (IQR)28

Descriptive statistics

Standard deviation272.92563
Coefficient of variation (CV)0.0017869302
Kurtosis3.8404494
Mean152734.36
Median Absolute Deviation (MAD)6.5
Skewness-2.2877918
Sum2138281
Variance74488.401
MonotonicityNot monotonic
2024-04-06T21:49:35.723808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
152848 4
 
4.3%
152838 2
 
2.2%
152880 1
 
1.1%
152840 1
 
1.1%
152130 1
 
1.1%
152843 1
 
1.1%
152851 1
 
1.1%
152814 1
 
1.1%
152055 1
 
1.1%
152800 1
 
1.1%
(Missing) 79
84.9%
ValueCountFrequency (%)
152055 1
 
1.1%
152130 1
 
1.1%
152800 1
 
1.1%
152814 1
 
1.1%
152838 2
2.2%
152840 1
 
1.1%
152843 1
 
1.1%
152848 4
4.3%
152851 1
 
1.1%
152880 1
 
1.1%
ValueCountFrequency (%)
152880 1
 
1.1%
152851 1
 
1.1%
152848 4
4.3%
152843 1
 
1.1%
152840 1
 
1.1%
152838 2
2.2%
152814 1
 
1.1%
152800 1
 
1.1%
152130 1
 
1.1%
152055 1
 
1.1%

지번주소
Text

Distinct77
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-04-06T21:49:36.132482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length30.182796
Min length14

Characters and Unicode

Total characters2807
Distinct characters129
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

Unique67 ?
Unique (%)72.0%

Sample

1st row서울특별시 구로구 구로동 ****-**번지
2nd row서울특별시 구로구 구로동 **번지 고려구로빌딩 ***
3rd row서울특별시 구로구 구로동 ***번지 한신아이티타워 ***,***호
4th row서울특별시 구로구 천왕동 **-**번지
5th row서울특별시 구로구 구로동 ***-**번지
ValueCountFrequency (%)
서울특별시 93
18.6%
구로구 93
18.6%
구로동 68
13.6%
번지 57
11.4%
41
8.2%
호 37
 
7.4%
대륭포스트타워*차 14
 
2.8%
개봉동 6
 
1.2%
이스페이스 5
 
1.0%
온수동 4
 
0.8%
Other values (57) 82
16.4%
2024-04-06T21:49:36.880092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 578
20.6%
451
16.1%
구 256
 
9.1%
로 164
 
5.8%
동 104
 
3.7%
시 95
 
3.4%
울 94
 
3.3%
서 94
 
3.3%
별 93
 
3.3%
특 93
 
3.3%
Other values (119) 785
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1684
60.0%
Other Punctuation 580
 
20.7%
Space Separator 451
 
16.1%
Dash Punctuation 81
 
2.9%
Uppercase Letter 6
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 256
15.2%
로 164
 
9.7%
동 104
 
6.2%
시 95
 
5.6%
울 94
 
5.6%
서 94
 
5.6%
별 93
 
5.5%
특 93
 
5.5%
지 70
 
4.2%
번 57
 
3.4%
Other values (106) 564
33.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
16.7%
A 1
16.7%
K 1
16.7%
I 1
16.7%
T 1
16.7%
B 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 578
99.7%
, 2
 
0.3%
Space Separator
ValueCountFrequency (%)
451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1684
60.0%
Common 1116
39.8%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 256
15.2%
로 164
 
9.7%
동 104
 
6.2%
시 95
 
5.6%
울 94
 
5.6%
서 94
 
5.6%
별 93
 
5.5%
특 93
 
5.5%
지 70
 
4.2%
번 57
 
3.4%
Other values (106) 564
33.5%
Latin
ValueCountFrequency (%)
S 1
14.3%
Ⅲ 1
14.3%
A 1
14.3%
K 1
14.3%
I 1
14.3%
T 1
14.3%
B 1
14.3%
Common
ValueCountFrequency (%)
* 578
51.8%
451
40.4%
- 81
 
7.3%
, 2
 
0.2%
) 2
 
0.2%
( 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1684
60.0%
ASCII 1122
40.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 578
51.5%
451
40.2%
- 81
 
7.2%
, 2
 
0.2%
) 2
 
0.2%
( 2
 
0.2%
S 1
 
0.1%
A 1
 
0.1%
K 1
 
0.1%
I 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
구 256
15.2%
로 164
 
9.7%
동 104
 
6.2%
시 95
 
5.6%
울 94
 
5.6%
서 94
 
5.6%
별 93
 
5.5%
특 93
 
5.5%
지 70
 
4.2%
번 57
 
3.4%
Other values (106) 564
33.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명주소
Text

MISSING 

Distinct82
Distinct (%)91.1%
Missing3
Missing (%)3.2%
Memory size876.0 B
2024-04-06T21:49:37.363823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length40.633333
Min length26

Characters and Unicode

Total characters3657
Distinct characters153
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)82.2%

Sample

1st row서울특별시 구로구 디지털로**나길 ** (구로동)
2nd row서울특별시 구로구 가마산로 *** (구로동,고려구로빌딩 ***)
3rd row서울특별시 구로구 디지털로 ***, ***호 (구로동, 한신아이티타워)
4th row서울특별시 구로구 디지털로**길 ** (구로동)
5th row서울특별시 구로구 디지털로**길 ** (구로동,벽산디지털밸리 *-*)
ValueCountFrequency (%)
95
15.0%
서울특별시 90
14.2%
구로구 90
14.2%
호 63
9.9%
구로동 56
 
8.8%
디지털로**길 25
 
3.9%
층 23
 
3.6%
디지털로 19
 
3.0%
대륭포스트타워*차 15
 
2.4%
동 9
 
1.4%
Other values (102) 149
23.5%
2024-04-06T21:49:38.365077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 682
18.6%
556
15.2%
구 255
 
7.0%
로 254
 
6.9%
, 117
 
3.2%
동 109
 
3.0%
서 92
 
2.5%
시 92
 
2.5%
울 91
 
2.5%
특 90
 
2.5%
Other values (143) 1319
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2090
57.2%
Other Punctuation 799
 
21.8%
Space Separator 556
 
15.2%
Close Punctuation 90
 
2.5%
Open Punctuation 90
 
2.5%
Dash Punctuation 21
 
0.6%
Uppercase Letter 9
 
0.2%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 255
 
12.2%
로 254
 
12.2%
동 109
 
5.2%
서 92
 
4.4%
시 92
 
4.4%
울 91
 
4.4%
특 90
 
4.3%
별 90
 
4.3%
호 68
 
3.3%
지 63
 
3.0%
Other values (128) 886
42.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
22.2%
B 2
22.2%
K 1
11.1%
R 1
11.1%
S 1
11.1%
I 1
11.1%
T 1
11.1%
Other Punctuation
ValueCountFrequency (%)
* 682
85.4%
, 117
 
14.6%
Space Separator
ValueCountFrequency (%)
556
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2090
57.2%
Common 1557
42.6%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 255
 
12.2%
로 254
 
12.2%
동 109
 
5.2%
서 92
 
4.4%
시 92
 
4.4%
울 91
 
4.4%
특 90
 
4.3%
별 90
 
4.3%
호 68
 
3.3%
지 63
 
3.0%
Other values (128) 886
42.4%
Latin
ValueCountFrequency (%)
A 2
20.0%
B 2
20.0%
K 1
10.0%
R 1
10.0%
S 1
10.0%
I 1
10.0%
Ⅲ 1
10.0%
T 1
10.0%
Common
ValueCountFrequency (%)
* 682
43.8%
556
35.7%
, 117
 
7.5%
) 90
 
5.8%
( 90
 
5.8%
- 21
 
1.3%
~ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2090
57.2%
ASCII 1566
42.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 682
43.6%
556
35.5%
, 117
 
7.5%
) 90
 
5.7%
( 90
 
5.7%
- 21
 
1.3%
A 2
 
0.1%
B 2
 
0.1%
K 1
 
0.1%
R 1
 
0.1%
Other values (4) 4
 
0.3%
Hangul
ValueCountFrequency (%)
구 255
 
12.2%
로 254
 
12.2%
동 109
 
5.2%
서 92
 
4.4%
시 92
 
4.4%
울 91
 
4.4%
특 90
 
4.3%
별 90
 
4.3%
호 68
 
3.3%
지 63
 
3.0%
Other values (128) 886
42.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)55.3%
Missing17
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean44450.842
Minimum8208
Maximum152896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-04-06T21:49:38.801587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8208
5-th percentile8218
Q18317.75
median8382
Q344475.25
95-th percentile152812.5
Maximum152896
Range144688
Interquartile range (IQR)36157.5

Descriptive statistics

Standard deviation62964.553
Coefficient of variation (CV)1.4164985
Kurtosis-0.62939618
Mean44450.842
Median Absolute Deviation (MAD)69.5
Skewness1.1780788
Sum3378264
Variance3.9645349 × 109
MonotonicityNot monotonic
2024-04-06T21:49:39.189842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
8390 13
 
14.0%
8381 5
 
5.4%
8260 4
 
4.3%
8380 3
 
3.2%
8394 3
 
3.2%
8302 2
 
2.2%
8301 2
 
2.2%
8378 2
 
2.2%
8274 2
 
2.2%
8215 2
 
2.2%
Other values (32) 38
40.9%
(Missing) 17
18.3%
ValueCountFrequency (%)
8208 1
 
1.1%
8211 1
 
1.1%
8215 2
2.2%
8219 1
 
1.1%
8227 1
 
1.1%
8260 4
4.3%
8266 1
 
1.1%
8271 1
 
1.1%
8274 2
2.2%
8292 1
 
1.1%
ValueCountFrequency (%)
152896 1
1.1%
152880 2
2.2%
152847 1
1.1%
152801 1
1.1%
152800 1
1.1%
152790 2
2.2%
152789 1
1.1%
152777 1
1.1%
152769 1
1.1%
152768 2
2.2%

사업장명
Text

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-04-06T21:49:39.809312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length9.4086022
Min length2

Characters and Unicode

Total characters875
Distinct characters226
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)97.8%

Sample

1st row(주)인남프로덕션
2nd row(주)마고이십일
3rd row(주)드림한스
4th row파랑새필림엔터테인먼트
5th row(주)동우에이앤이
ValueCountFrequency (%)
주식회사 19
 
14.7%
주)초이락홀딩스 2
 
1.6%
미디어 2
 
1.6%
솔롱앤룻(solong&ruth 1
 
0.8%
노이스튜디오 1
 
0.8%
너와 1
 
0.8%
창작집단 1
 
0.8%
콘텐츠파크엔터테인먼트 1
 
0.8%
이노베이션 1
 
0.8%
이오 1
 
0.8%
Other values (99) 99
76.7%
2024-04-06T21:49:40.675870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 65
 
7.4%
) 50
 
5.7%
( 48
 
5.5%
36
 
4.1%
이 35
 
4.0%
스 32
 
3.7%
사 24
 
2.7%
회 21
 
2.4%
디 21
 
2.4%
식 20
 
2.3%
Other values (216) 523
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 695
79.4%
Close Punctuation 50
 
5.7%
Open Punctuation 48
 
5.5%
Space Separator 36
 
4.1%
Uppercase Letter 21
 
2.4%
Lowercase Letter 16
 
1.8%
Decimal Number 4
 
0.5%
Other Punctuation 3
 
0.3%
Other Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 65
 
9.4%
이 35
 
5.0%
스 32
 
4.6%
사 24
 
3.5%
회 21
 
3.0%
디 21
 
3.0%
식 20
 
2.9%
트 17
 
2.4%
리 15
 
2.2%
엔 12
 
1.7%
Other values (183) 433
62.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
14.3%
M 2
9.5%
H 2
9.5%
A 2
9.5%
E 2
9.5%
R 2
9.5%
K 1
 
4.8%
C 1
 
4.8%
O 1
 
4.8%
L 1
 
4.8%
Other values (4) 4
19.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
25.0%
u 3
18.8%
t 2
12.5%
h 1
 
6.2%
g 1
 
6.2%
n 1
 
6.2%
l 1
 
6.2%
s 1
 
6.2%
i 1
 
6.2%
d 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
7 1
25.0%
9 1
25.0%
Other Punctuation
ValueCountFrequency (%)
' 2
66.7%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 697
79.7%
Common 141
 
16.1%
Latin 37
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 65
 
9.3%
이 35
 
5.0%
스 32
 
4.6%
사 24
 
3.4%
회 21
 
3.0%
디 21
 
3.0%
식 20
 
2.9%
트 17
 
2.4%
리 15
 
2.2%
엔 12
 
1.7%
Other values (184) 435
62.4%
Latin
ValueCountFrequency (%)
o 4
 
10.8%
S 3
 
8.1%
u 3
 
8.1%
M 2
 
5.4%
t 2
 
5.4%
H 2
 
5.4%
A 2
 
5.4%
E 2
 
5.4%
R 2
 
5.4%
h 1
 
2.7%
Other values (14) 14
37.8%
Common
ValueCountFrequency (%)
) 50
35.5%
( 48
34.0%
36
25.5%
' 2
 
1.4%
1 2
 
1.4%
& 1
 
0.7%
7 1
 
0.7%
9 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 695
79.4%
ASCII 178
 
20.3%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 65
 
9.4%
이 35
 
5.0%
스 32
 
4.6%
사 24
 
3.5%
회 21
 
3.0%
디 21
 
3.0%
식 20
 
2.9%
트 17
 
2.4%
리 15
 
2.2%
엔 12
 
1.7%
Other values (183) 433
62.3%
ASCII
ValueCountFrequency (%)
) 50
28.1%
( 48
27.0%
36
20.2%
o 4
 
2.2%
S 3
 
1.7%
u 3
 
1.7%
M 2
 
1.1%
t 2
 
1.1%
H 2
 
1.1%
A 2
 
1.1%
Other values (22) 26
14.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum2010-04-30 10:06:19
Maximum2024-04-02 18:03:08
2024-04-06T21:49:41.434944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:49:41.693022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
I
74 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 74
79.6%
U 19
 
20.4%

Length

2024-04-06T21:49:41.931029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:42.097987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 74
79.6%
u 19
 
20.4%

데이터갱신일자
Categorical

Distinct42
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
2018-08-31 23:59:59.0
48 
2023-12-01 22:09:00.0
 
3
2023-12-01 22:02:00.0
 
2
2021-05-01 00:23:12.0
 
2
2022-01-19 02:40:00.0
 
1
Other values (37)
37 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique38 ?
Unique (%)40.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 48
51.6%
2023-12-01 22:09:00.0 3
 
3.2%
2023-12-01 22:02:00.0 2
 
2.2%
2021-05-01 00:23:12.0 2
 
2.2%
2022-01-19 02:40:00.0 1
 
1.1%
2023-12-02 22:00:00.0 1
 
1.1%
2018-12-13 02:40:00.0 1
 
1.1%
2021-12-04 22:06:00.0 1
 
1.1%
2022-01-08 02:40:00.0 1
 
1.1%
2018-11-23 02:36:13.0 1
 
1.1%
Other values (32) 32
34.4%

Length

2024-04-06T21:49:42.331183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 48
25.8%
23:59:59.0 48
25.8%
02:40:00.0 12
 
6.5%
2023-12-01 7
 
3.8%
00:04:00.0 3
 
1.6%
22:09:00.0 3
 
1.6%
00:22:59.0 2
 
1.1%
00:08:00.0 2
 
1.1%
2021-12-05 2
 
1.1%
2022-12-02 2
 
1.1%
Other values (54) 57
30.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)64.8%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean189529.34
Minimum183807.12
Maximum191173.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-04-06T21:49:42.589467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183807.12
5-th percentile184358.5
Q1189562.83
median190423.22
Q3190678.74
95-th percentile190943.38
Maximum191173.65
Range7366.5271
Interquartile range (IQR)1115.91

Descriptive statistics

Standard deviation1912.389
Coefficient of variation (CV)0.0100902
Kurtosis2.0326225
Mean189529.34
Median Absolute Deviation (MAD)257.32017
Skewness-1.7895116
Sum17247170
Variance3657231.6
MonotonicityNot monotonic
2024-04-06T21:49:43.036343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190680.536850936 12
 
12.9%
190423.216683488 6
 
6.5%
190232.524534335 4
 
4.3%
190447.424985193 3
 
3.2%
190594.904645635 3
 
3.2%
184290.893400642 3
 
3.2%
190005.132500398 3
 
3.2%
190776.468544178 3
 
3.2%
190609.413674522 2
 
2.2%
190571.928127507 2
 
2.2%
Other values (49) 50
53.8%
ValueCountFrequency (%)
183807.118188697 1
 
1.1%
184290.893400642 3
3.2%
184333.781102949 1
 
1.1%
184383.220247235 1
 
1.1%
185737.497931032 1
 
1.1%
185853.541709997 1
 
1.1%
186039.397536852 1
 
1.1%
186144.880821445 1
 
1.1%
186366.469517325 1
 
1.1%
186800.932812899 1
 
1.1%
ValueCountFrequency (%)
191173.645294866 1
 
1.1%
191104.056779696 1
 
1.1%
191002.243483409 1
 
1.1%
190967.257864999 2
 
2.2%
190919.498006713 1
 
1.1%
190822.851419439 1
 
1.1%
190776.468544178 3
 
3.2%
190741.158117503 1
 
1.1%
190680.536850936 12
12.9%
190676.946162959 1
 
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)64.8%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean443059.04
Minimum441599.36
Maximum445250.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-04-06T21:49:43.316015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441599.36
5-th percentile442092.68
Q1442392.65
median442614.8
Q3443674.5
95-th percentile444978.68
Maximum445250.54
Range3651.1838
Interquartile range (IQR)1281.85

Descriptive statistics

Standard deviation940.29751
Coefficient of variation (CV)0.0021222849
Kurtosis-0.2198315
Mean443059.04
Median Absolute Deviation (MAD)353.14867
Skewness0.96607604
Sum40318372
Variance884159.41
MonotonicityNot monotonic
2024-04-06T21:49:43.696678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442392.645303533 12
 
12.9%
442403.568114284 6
 
6.5%
444978.682746138 4
 
4.3%
442071.447779897 3
 
3.2%
442261.654499191 3
 
3.2%
443423.580038181 3
 
3.2%
445250.538868558 3
 
3.2%
442370.143700207 3
 
3.2%
442782.030555155 2
 
2.2%
442598.144798533 2
 
2.2%
Other values (49) 50
53.8%
ValueCountFrequency (%)
441599.355055656 1
 
1.1%
441862.85496884 1
 
1.1%
442071.447779897 3
3.2%
442113.916061607 1
 
1.1%
442216.317475069 1
 
1.1%
442246.665458344 1
 
1.1%
442253.132895893 1
 
1.1%
442261.654499191 3
3.2%
442273.668137171 1
 
1.1%
442305.216740774 2
2.2%
ValueCountFrequency (%)
445250.538868558 3
3.2%
444978.682746138 4
4.3%
444898.367647601 1
 
1.1%
444854.451693268 1
 
1.1%
444722.181249086 1
 
1.1%
444557.996323399 1
 
1.1%
444436.414154409 1
 
1.1%
444267.24763528 1
 
1.1%
444193.860003095 1
 
1.1%
444161.818392861 1
 
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
영화제작업
74 
<NA>
19 

Length

Max length5
Median length5
Mean length4.7956989
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 74
79.6%
<NA> 19
 
20.4%

Length

2024-04-06T21:49:44.036449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:44.273313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 74
79.6%
na 19
 
20.4%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
<NA>
87 
0
 
6

Length

Max length4
Median length4
Mean length3.8064516
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> 87
93.5%
0 6
 
6.5%

Length

2024-04-06T21:49:44.636953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:44.943157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
93.5%
0 6
 
6.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
<NA>
87 
0
 
6

Length

Max length4
Median length4
Mean length3.8064516
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> 87
93.5%
0 6
 
6.5%

Length

2024-04-06T21:49:45.162461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:45.361679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
93.5%
0 6
 
6.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
<NA>
87 
0
 
6

Length

Max length4
Median length4
Mean length3.8064516
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> 87
93.5%
0 6
 
6.5%

Length

2024-04-06T21:49:45.569938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:45.761842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
93.5%
0 6
 
6.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
<NA>
87 
0
 
6

Length

Max length4
Median length4
Mean length3.8064516
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> 87
93.5%
0 6
 
6.5%

Length

2024-04-06T21:49:45.975200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:46.170515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
93.5%
0 6
 
6.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
<NA>
87 
0
 
6

Length

Max length4
Median length4
Mean length3.8064516
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> 87
93.5%
0 6
 
6.5%

Length

2024-04-06T21:49:46.368302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:46.558658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
93.5%
0 6
 
6.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
<NA>
87 
0
 
6

Length

Max length4
Median length4
Mean length3.8064516
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> 87
93.5%
0 6
 
6.5%

Length

2024-04-06T21:49:46.735943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:46.886699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
93.5%
0 6
 
6.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
<NA>
87 
0
 
6

Length

Max length4
Median length4
Mean length3.8064516
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> 87
93.5%
0 6
 
6.5%

Length

2024-04-06T21:49:47.059558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:47.296027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
93.5%
0 6
 
6.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
<NA>
87 
0
 
6

Length

Max length4
Median length4
Mean length3.8064516
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> 87
93.5%
0 6
 
6.5%

Length

2024-04-06T21:49:47.496177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:47.680421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
93.5%
0 6
 
6.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
<NA>
87 
0
 
6

Length

Max length4
Median length4
Mean length3.8064516
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> 87
93.5%
0 6
 
6.5%

Length

2024-04-06T21:49:47.869339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:48.094659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
93.5%
0 6
 
6.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)97.3%
Missing19
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean20130849
Minimum19950220
Maximum20210831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-04-06T21:49:48.349079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950220
5-th percentile20006925
Q120083452
median20150508
Q320180511
95-th percentile20210429
Maximum20210831
Range260611
Interquartile range (IQR)97059.25

Descriptive statistics

Standard deviation62102.03
Coefficient of variation (CV)0.0030849185
Kurtosis0.045646254
Mean20130849
Median Absolute Deviation (MAD)39761.5
Skewness-0.83471311
Sum1.4896829 × 109
Variance3.8566622 × 109
MonotonicityNot monotonic
2024-04-06T21:49:48.671868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210429 2
 
2.2%
20150629 2
 
2.2%
20001013 1
 
1.1%
20071001 1
 
1.1%
20180615 1
 
1.1%
20180612 1
 
1.1%
20170919 1
 
1.1%
20180207 1
 
1.1%
20140701 1
 
1.1%
20170512 1
 
1.1%
Other values (62) 62
66.7%
(Missing) 19
 
20.4%
ValueCountFrequency (%)
19950220 1
1.1%
20000804 1
1.1%
20000919 1
1.1%
20001013 1
1.1%
20010108 1
1.1%
20010615 1
1.1%
20020525 1
1.1%
20041016 1
1.1%
20050202 1
1.1%
20051220 1
1.1%
ValueCountFrequency (%)
20210831 1
1.1%
20210810 1
1.1%
20210521 1
1.1%
20210429 2
2.2%
20210317 1
1.1%
20210119 1
1.1%
20200224 1
1.1%
20200205 1
1.1%
20191223 1
1.1%
20190715 1
1.1%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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33160000CDFF521101200000000320001013<NA>1영업/정상13영업중<NA><NA><NA><NA>02-688-6109<NA>152130서울특별시 구로구 천왕동 **-**번지<NA><NA>파랑새필림엔터테인먼트2010-04-30 10:14:57I2018-08-31 23:59:59.0<NA>185853.54171442610.818463영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20001013<NA>
43160000CDFF521101200100000120010615<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3282-9500<NA><NA>서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 디지털로**길 ** (구로동)152789(주)동우에이앤이2012-04-17 09:17:38I2018-08-31 23:59:59.0<NA>190423.216683442403.568114영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010615<NA>
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63160000CDFF521101200400000120041016<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3282-3746<NA><NA>서울특별시 구로구 구로동 ***-**번지 이스페이스 ***-*서울특별시 구로구 디지털로**길 ** (구로동,이스페이스 ***-*)<NA>(주)베데코리아2018-07-31 11:31:23I2018-08-31 23:59:59.0<NA>190423.216683442403.568114영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20041016<NA>
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
833160000CDFF521101202200000520220902<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 온수동 **-* 초이락빌딩서울특별시 구로구 부일로*길 *, 초이락빌딩 (온수동)8260(주)초이락컨텐츠컴퍼니2022-09-02 13:01:35I2021-12-09 00:04:00.0<NA>184290.893401443423.580038<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843160000CDFF521101202200000620221006<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 *** 신도림*차푸르지오서울특별시 구로구 경인로 ***, 신도림*차푸르지오 ***동 ****호 (신도림동)8208픽처엘리먼트 주식회사2022-10-06 12:42:05I2021-10-31 00:08:00.0<NA>190005.1325445250.538869<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853160000CDFF521101202300000120230130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 **-* 대림오피스밸리서울특별시 구로구 가마산로 ***, 대림오피스밸리 ***호 (구로동)8302(주)제이제이프로덕션2023-01-30 14:03:33I2022-12-02 00:01:00.0<NA>190352.185129443799.91809<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863160000CDFF52110120230000022023-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-** 현대연예인아파트서울특별시 구로구 구일로*길 **, ***동 ***호 (구로동, 현대연예인아파트)8325몽구스 미디어 랩2023-11-14 17:29:25I2022-10-31 23:06:00.0<NA>189062.851346443427.686572<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873160000CDFF52110120240000012024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7542-7763<NA><NA>서울특별시 구로구 항동 ***-*서울특별시 구로구 부광로 **-*, ***호 (항동)8362바른미디어2024-02-13 18:00:53I2023-12-01 23:05:00.0<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>
883160000CDFF52110120240000022024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 **-* 하늘쉼빌딩서울특별시 구로구 경인로**가길 *, 하늘쉼빌딩 *층 ***-***호 (오류동)8271영화제작사 여름기록2024-02-19 18:02:48I2023-12-01 22:01:00.0<NA>186144.880821443706.570674<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
893160000CDFF52110120240000032024-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-**서울특별시 구로구 새말로*길 *, *층 (구로동)8292프레임블럭(FRAMEBLOCK)2024-02-20 16:35:56I2023-12-01 22:02:00.0<NA>189681.117011444436.414154<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
903160000CDFF52110120240000042024-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 개봉동 *** 현대아파트*단지서울특별시 구로구 개봉로**길 *, ***동 ****호 (개봉동, 현대아파트*단지)8329화율2024-02-20 16:36:11I2023-12-01 22:02:00.0<NA>187416.315548443329.143116<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913160000CDFF52110120240000052024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 대륭포스트타워*차서울특별시 구로구 디지털로 ***, 대륭포스트타워*차 *층 ***-A***호 (구로동)8390(주)시네젠2024-02-27 10:23:08I2023-12-01 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>
923160000CDFF52110120240000062024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 예성유토피아서울특별시 구로구 도림천로 ***, 예성유토피아 ***동 ****호 (구로동)8378주식회사 그립플레이2024-04-02 18:03:08I2023-12-04 00:04:00.0<NA>191002.243483442614.803166<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>