Overview

Dataset statistics

Number of variables56
Number of observations47
Missing cells1345
Missing cells (%)51.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.7 KiB
Average record size in memory493.8 B

Variable types

Categorical16
Text5
DateTime4
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-17732/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (51.1%)Imbalance
총층수 is highly imbalanced (65.8%)Imbalance
시설면적 is highly imbalanced (65.8%)Imbalance
지상층수 is highly imbalanced (65.8%)Imbalance
지하층수 is highly imbalanced (65.8%)Imbalance
통로너비 is highly imbalanced (65.8%)Imbalance
조명시설조도 is highly imbalanced (65.8%)Imbalance
노래방실수 is highly imbalanced (65.8%)Imbalance
청소년실수 is highly imbalanced (65.8%)Imbalance
총게임기수 is highly imbalanced (65.8%)Imbalance
인허가취소일자 has 47 (100.0%) missing valuesMissing
폐업일자 has 39 (83.0%) missing valuesMissing
휴업시작일자 has 47 (100.0%) missing valuesMissing
휴업종료일자 has 47 (100.0%) missing valuesMissing
재개업일자 has 47 (100.0%) missing valuesMissing
전화번호 has 35 (74.5%) missing valuesMissing
소재지면적 has 47 (100.0%) missing valuesMissing
소재지우편번호 has 36 (76.6%) missing valuesMissing
도로명주소 has 2 (4.3%) missing valuesMissing
도로명우편번호 has 2 (4.3%) missing valuesMissing
업태구분명 has 47 (100.0%) missing valuesMissing
문화사업자구분명 has 47 (100.0%) missing valuesMissing
주변환경명 has 47 (100.0%) missing valuesMissing
제작취급품목내용 has 47 (100.0%) missing valuesMissing
건물용도명 has 47 (100.0%) missing valuesMissing
비상계단여부 has 47 (100.0%) missing valuesMissing
비상구여부 has 47 (100.0%) missing valuesMissing
자동환기여부 has 47 (100.0%) missing valuesMissing
청소년실여부 has 47 (100.0%) missing valuesMissing
특수조명여부 has 47 (100.0%) missing valuesMissing
방음시설여부 has 47 (100.0%) missing valuesMissing
비디오재생기명 has 47 (100.0%) missing valuesMissing
조명시설유무 has 47 (100.0%) missing valuesMissing
음향시설여부 has 47 (100.0%) missing valuesMissing
편의시설여부 has 47 (100.0%) missing valuesMissing
소방시설여부 has 47 (100.0%) missing valuesMissing
기존게임업외업종명 has 47 (100.0%) missing valuesMissing
제공게임물명 has 47 (100.0%) missing valuesMissing
공연장형태구분명 has 47 (100.0%) missing valuesMissing
품목명 has 47 (100.0%) missing valuesMissing
최초등록시점 has 9 (19.1%) missing valuesMissing
지역구분명 has 47 (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 started2024-05-11 05:46:29.728312
Analysis finished2024-05-11 05:46:30.496567
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
3050000
47 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 47
100.0%

Length

2024-05-11T14:46:30.666432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:30.842319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 47
100.0%

관리번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T14:46:31.107122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters940
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

Unique47 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011996000001
2nd rowCDFF5211012000000001
3rd rowCDFF5211012001000001
4th rowCDFF5211012005000001
5th rowCDFF5211012005000002
ValueCountFrequency (%)
cdff5211011996000001 1
 
2.1%
cdff5211012016000007 1
 
2.1%
cdff5211012017000004 1
 
2.1%
cdff5211012018000001 1
 
2.1%
cdff5211012019000001 1
 
2.1%
cdff5211012019000003 1
 
2.1%
cdff5211012019000004 1
 
2.1%
cdff5211012019000006 1
 
2.1%
cdff5211012020000001 1
 
2.1%
cdff5211012020000002 1
 
2.1%
Other values (37) 37
78.7%
2024-05-11T14:46:31.592854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 346
36.8%
1 188
20.0%
2 122
 
13.0%
F 94
 
10.0%
5 52
 
5.5%
C 47
 
5.0%
D 47
 
5.0%
3 14
 
1.5%
4 9
 
1.0%
9 7
 
0.7%
Other values (3) 14
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 752
80.0%
Uppercase Letter 188
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 346
46.0%
1 188
25.0%
2 122
 
16.2%
5 52
 
6.9%
3 14
 
1.9%
4 9
 
1.2%
9 7
 
0.9%
6 6
 
0.8%
7 4
 
0.5%
8 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 94
50.0%
C 47
25.0%
D 47
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 752
80.0%
Latin 188
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 346
46.0%
1 188
25.0%
2 122
 
16.2%
5 52
 
6.9%
3 14
 
1.9%
4 9
 
1.2%
9 7
 
0.9%
6 6
 
0.8%
7 4
 
0.5%
8 4
 
0.5%
Latin
ValueCountFrequency (%)
F 94
50.0%
C 47
25.0%
D 47
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 346
36.8%
1 188
20.0%
2 122
 
13.0%
F 94
 
10.0%
5 52
 
5.5%
C 47
 
5.0%
D 47
 
5.0%
3 14
 
1.5%
4 9
 
1.0%
9 7
 
0.7%
Other values (3) 14
 
1.5%

인허가일자
Date

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum1996-07-24 00:00:00
Maximum2024-02-23 00:00:00
2024-05-11T14:46:31.897942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:32.087236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
1
39 
3
6 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 39
83.0%
3 6
 
12.8%
5 2
 
4.3%

Length

2024-05-11T14:46:32.250172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:32.380307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 39
83.0%
3 6
 
12.8%
5 2
 
4.3%

영업상태명
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업/정상
39 
폐업
6 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.7446809
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 39
83.0%
폐업 6
 
12.8%
제외/삭제/전출 2
 
4.3%

Length

2024-05-11T14:46:32.506638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:32.641320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 39
83.0%
폐업 6
 
12.8%
제외/삭제/전출 2
 
4.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
13
39 
3
6 
15
 
2

Length

Max length2
Median length2
Mean length1.8723404
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 39
83.0%
3 6
 
12.8%
15 2
 
4.3%

Length

2024-05-11T14:46:32.771694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:32.902938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 39
83.0%
3 6
 
12.8%
15 2
 
4.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업중
39 
폐업
6 
전출
 
2

Length

Max length3
Median length3
Mean length2.8297872
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 39
83.0%
폐업 6
 
12.8%
전출 2
 
4.3%

Length

2024-05-11T14:46:33.059517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:33.195529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 39
83.0%
폐업 6
 
12.8%
전출 2
 
4.3%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing39
Missing (%)83.0%
Memory size508.0 B
Minimum2008-10-01 00:00:00
Maximum2023-04-25 00:00:00
2024-05-11T14:46:33.324708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:33.493052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

전화번호
Text

MISSING 

Distinct11
Distinct (%)91.7%
Missing35
Missing (%)74.5%
Memory size508.0 B
2024-05-11T14:46:33.704942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length11.416667
Min length8

Characters and Unicode

Total characters137
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

Unique10 ?
Unique (%)83.3%

Sample

1st row02-2215-3777
2nd row070-8887-8233
3rd row515-3091
4th row02-969-5632
5th row02-968-3572
ValueCountFrequency (%)
02-2215-3777 2
16.7%
070-8887-8233 1
8.3%
515-3091 1
8.3%
02-969-5632 1
8.3%
02-968-3572 1
8.3%
02-763-0992 1
8.3%
02-2247-6674 1
8.3%
02-6104-0664 1
8.3%
02-3443-1288 1
8.3%
02-461-7717 1
8.3%
2024-05-11T14:46:34.214291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 23
16.8%
- 23
16.8%
0 17
12.4%
7 15
10.9%
3 10
7.3%
6 10
7.3%
8 9
 
6.6%
1 8
 
5.8%
4 8
 
5.8%
5 7
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
83.2%
Dash Punctuation 23
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 23
20.2%
0 17
14.9%
7 15
13.2%
3 10
8.8%
6 10
8.8%
8 9
 
7.9%
1 8
 
7.0%
4 8
 
7.0%
5 7
 
6.1%
9 7
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 23
16.8%
- 23
16.8%
0 17
12.4%
7 15
10.9%
3 10
7.3%
6 10
7.3%
8 9
 
6.6%
1 8
 
5.8%
4 8
 
5.8%
5 7
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 23
16.8%
- 23
16.8%
0 17
12.4%
7 15
10.9%
3 10
7.3%
6 10
7.3%
8 9
 
6.6%
1 8
 
5.8%
4 8
 
5.8%
5 7
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing36
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean130813.09
Minimum130715
Maximum130876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T14:46:34.455293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130715
5-th percentile130745.5
Q1130796
median130823
Q3130839.5
95-th percentile130860.5
Maximum130876
Range161
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation43.207533
Coefficient of variation (CV)0.00033029976
Kurtosis1.7902145
Mean130813.09
Median Absolute Deviation (MAD)17
Skewness-1.0704062
Sum1438944
Variance1866.8909
MonotonicityNot monotonic
2024-05-11T14:46:34.628593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
130811 1
 
2.1%
130812 1
 
2.1%
130781 1
 
2.1%
130776 1
 
2.1%
130826 1
 
2.1%
130823 1
 
2.1%
130876 1
 
2.1%
130839 1
 
2.1%
130715 1
 
2.1%
130840 1
 
2.1%
(Missing) 36
76.6%
ValueCountFrequency (%)
130715 1
2.1%
130776 1
2.1%
130781 1
2.1%
130811 1
2.1%
130812 1
2.1%
130823 1
2.1%
130826 1
2.1%
130839 1
2.1%
130840 1
2.1%
130845 1
2.1%
ValueCountFrequency (%)
130876 1
2.1%
130845 1
2.1%
130840 1
2.1%
130839 1
2.1%
130826 1
2.1%
130823 1
2.1%
130812 1
2.1%
130811 1
2.1%
130781 1
2.1%
130776 1
2.1%

지번주소
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T14:46:34.967845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length29.085106
Min length19

Characters and Unicode

Total characters1367
Distinct characters101
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)95.7%

Sample

1st row서울특별시 동대문구 청량리동 ***-*번지 미주A상가 지하
2nd row서울특별시 동대문구 이문동 ***-**번지
3rd row서울특별시 동대문구 신설동 **-**번지
4th row서울특별시 동대문구 제기동 ***-***번지 (안암빌딩*층)
5th row서울특별시 동대문구 신설동 ***-*번지 (문정빌딩 *층)
ValueCountFrequency (%)
서울특별시 47
19.3%
동대문구 47
19.3%
번지 32
13.1%
17
 
7.0%
호 13
 
5.3%
장안동 12
 
4.9%
제기동 9
 
3.7%
층 7
 
2.9%
휘경동 6
 
2.5%
답십리동 5
 
2.0%
Other values (33) 49
20.1%
2024-05-11T14:46:35.513854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 280
20.5%
226
16.5%
동 100
 
7.3%
문 53
 
3.9%
대 49
 
3.6%
구 48
 
3.5%
시 48
 
3.5%
울 47
 
3.4%
서 47
 
3.4%
별 47
 
3.4%
Other values (91) 422
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 804
58.8%
Other Punctuation 281
 
20.6%
Space Separator 226
 
16.5%
Dash Punctuation 44
 
3.2%
Open Punctuation 5
 
0.4%
Close Punctuation 5
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 100
 
12.4%
문 53
 
6.6%
대 49
 
6.1%
구 48
 
6.0%
시 48
 
6.0%
울 47
 
5.8%
서 47
 
5.8%
별 47
 
5.8%
특 47
 
5.8%
지 34
 
4.2%
Other values (83) 284
35.3%
Other Punctuation
ValueCountFrequency (%)
* 280
99.6%
/ 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 804
58.8%
Common 561
41.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 100
 
12.4%
문 53
 
6.6%
대 49
 
6.1%
구 48
 
6.0%
시 48
 
6.0%
울 47
 
5.8%
서 47
 
5.8%
별 47
 
5.8%
특 47
 
5.8%
지 34
 
4.2%
Other values (83) 284
35.3%
Common
ValueCountFrequency (%)
* 280
49.9%
226
40.3%
- 44
 
7.8%
( 5
 
0.9%
) 5
 
0.9%
/ 1
 
0.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 804
58.8%
ASCII 563
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 280
49.7%
226
40.1%
- 44
 
7.8%
( 5
 
0.9%
) 5
 
0.9%
B 1
 
0.2%
A 1
 
0.2%
/ 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 100
 
12.4%
문 53
 
6.6%
대 49
 
6.1%
구 48
 
6.0%
시 48
 
6.0%
울 47
 
5.8%
서 47
 
5.8%
별 47
 
5.8%
특 47
 
5.8%
지 34
 
4.2%
Other values (83) 284
35.3%

도로명주소
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing2
Missing (%)4.3%
Memory size508.0 B
2024-05-11T14:46:35.883056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length35.266667
Min length21

Characters and Unicode

Total characters1587
Distinct characters115
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 왕산로 *** (청량리동)
2nd row서울특별시 동대문구 휘경로*길 **-* (이문동)
3rd row서울특별시 동대문구 왕산로 ** (신설동)
4th row서울특별시 동대문구 천호대로 **, *층 (신설동, 문정빌딩)
5th row서울특별시 동대문구 약령시로 ***, *동 ***호 (청량리동, 미주아파트)
ValueCountFrequency (%)
서울특별시 45
15.2%
45
15.2%
동대문구 45
15.2%
호 21
 
7.1%
장안동 12
 
4.1%
층 11
 
3.7%
동 8
 
2.7%
제기동 7
 
2.4%
천호대로**길 7
 
2.4%
휘경동 6
 
2.0%
Other values (65) 89
30.1%
2024-05-11T14:46:36.487680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 262
16.5%
251
15.8%
동 101
 
6.4%
대 58
 
3.7%
문 56
 
3.5%
, 51
 
3.2%
시 50
 
3.2%
구 46
 
2.9%
로 46
 
2.9%
서 45
 
2.8%
Other values (105) 621
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 922
58.1%
Other Punctuation 313
 
19.7%
Space Separator 251
 
15.8%
Close Punctuation 45
 
2.8%
Open Punctuation 45
 
2.8%
Dash Punctuation 7
 
0.4%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 101
 
11.0%
대 58
 
6.3%
문 56
 
6.1%
시 50
 
5.4%
구 46
 
5.0%
로 46
 
5.0%
서 45
 
4.9%
특 45
 
4.9%
별 45
 
4.9%
울 45
 
4.9%
Other values (95) 385
41.8%
Uppercase Letter
ValueCountFrequency (%)
R 1
25.0%
S 1
25.0%
K 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 262
83.7%
, 51
 
16.3%
Space Separator
ValueCountFrequency (%)
251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 922
58.1%
Common 661
41.7%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 101
 
11.0%
대 58
 
6.3%
문 56
 
6.1%
시 50
 
5.4%
구 46
 
5.0%
로 46
 
5.0%
서 45
 
4.9%
특 45
 
4.9%
별 45
 
4.9%
울 45
 
4.9%
Other values (95) 385
41.8%
Common
ValueCountFrequency (%)
* 262
39.6%
251
38.0%
, 51
 
7.7%
) 45
 
6.8%
( 45
 
6.8%
- 7
 
1.1%
Latin
ValueCountFrequency (%)
R 1
25.0%
S 1
25.0%
K 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 922
58.1%
ASCII 665
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 262
39.4%
251
37.7%
, 51
 
7.7%
) 45
 
6.8%
( 45
 
6.8%
- 7
 
1.1%
R 1
 
0.2%
S 1
 
0.2%
K 1
 
0.2%
B 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 101
 
11.0%
대 58
 
6.3%
문 56
 
6.1%
시 50
 
5.4%
구 46
 
5.0%
로 46
 
5.0%
서 45
 
4.9%
특 45
 
4.9%
별 45
 
4.9%
울 45
 
4.9%
Other values (95) 385
41.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)86.7%
Missing2
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean56692.489
Minimum2410
Maximum130876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T14:46:36.754650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2410
5-th percentile2448.4
Q12526
median2624
Q3130826
95-th percentile130874.2
Maximum130876
Range128466
Interquartile range (IQR)128300

Descriptive statistics

Standard deviation64059.033
Coefficient of variation (CV)1.1299386
Kurtosis-1.9840515
Mean56692.489
Median Absolute Deviation (MAD)158
Skewness0.32591854
Sum2551162
Variance4.1035597 × 109
MonotonicityNot monotonic
2024-05-11T14:46:37.000844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
130876 3
 
6.4%
130826 2
 
4.3%
2624 2
 
4.3%
130845 2
 
4.3%
2622 2
 
4.3%
2585 1
 
2.1%
2490 1
 
2.1%
2599 1
 
2.1%
2617 1
 
2.1%
2466 1
 
2.1%
Other values (29) 29
61.7%
(Missing) 2
 
4.3%
ValueCountFrequency (%)
2410 1
2.1%
2428 1
2.1%
2444 1
2.1%
2466 1
2.1%
2468 1
2.1%
2475 1
2.1%
2477 1
2.1%
2490 1
2.1%
2499 1
2.1%
2512 1
2.1%
ValueCountFrequency (%)
130876 3
6.4%
130867 1
 
2.1%
130864 1
 
2.1%
130861 1
 
2.1%
130845 2
4.3%
130840 1
 
2.1%
130839 1
 
2.1%
130826 2
4.3%
130823 1
 
2.1%
130812 1
 
2.1%

사업장명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T14:46:37.354788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length8.212766
Min length2

Characters and Unicode

Total characters386
Distinct characters156
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row(주)미주영화
2nd row진두필름
3rd row(주)미디어믹스엔터테인먼트
4th row(주)한국가톨릭영상사업단
5th row(주)다물영상제작소
ValueCountFrequency (%)
주식회사 8
 
11.9%
필름 2
 
3.0%
더 2
 
3.0%
빛나는별 2
 
3.0%
주)미주영화 1
 
1.5%
시네마 1
 
1.5%
위즈필름 1
 
1.5%
rgb(알지비 1
 
1.5%
스푸키하우스 1
 
1.5%
부용시네마 1
 
1.5%
Other values (47) 47
70.1%
2024-05-11T14:46:37.943906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 21
 
5.4%
20
 
5.2%
스 15
 
3.9%
( 14
 
3.6%
) 14
 
3.6%
사 10
 
2.6%
식 8
 
2.1%
회 8
 
2.1%
름 8
 
2.1%
필 8
 
2.1%
Other values (146) 260
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
76.9%
Space Separator 20
 
5.2%
Uppercase Letter 20
 
5.2%
Lowercase Letter 19
 
4.9%
Open Punctuation 14
 
3.6%
Close Punctuation 14
 
3.6%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
7.1%
스 15
 
5.1%
사 10
 
3.4%
식 8
 
2.7%
회 8
 
2.7%
름 8
 
2.7%
필 8
 
2.7%
엔 7
 
2.4%
인 7
 
2.4%
디 6
 
2.0%
Other values (120) 199
67.0%
Uppercase Letter
ValueCountFrequency (%)
E 4
20.0%
T 3
15.0%
O 2
10.0%
R 2
10.0%
B 1
 
5.0%
F 1
 
5.0%
Y 1
 
5.0%
S 1
 
5.0%
H 1
 
5.0%
G 1
 
5.0%
Other values (3) 3
15.0%
Lowercase Letter
ValueCountFrequency (%)
n 4
21.1%
e 4
21.1%
t 3
15.8%
a 2
10.5%
r 2
10.5%
m 2
10.5%
i 1
 
5.3%
h 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
76.9%
Common 50
 
13.0%
Latin 39
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
7.1%
스 15
 
5.1%
사 10
 
3.4%
식 8
 
2.7%
회 8
 
2.7%
름 8
 
2.7%
필 8
 
2.7%
엔 7
 
2.4%
인 7
 
2.4%
디 6
 
2.0%
Other values (120) 199
67.0%
Latin
ValueCountFrequency (%)
n 4
 
10.3%
e 4
 
10.3%
E 4
 
10.3%
t 3
 
7.7%
T 3
 
7.7%
a 2
 
5.1%
r 2
 
5.1%
O 2
 
5.1%
R 2
 
5.1%
m 2
 
5.1%
Other values (11) 11
28.2%
Common
ValueCountFrequency (%)
20
40.0%
( 14
28.0%
) 14
28.0%
9 1
 
2.0%
4 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
76.9%
ASCII 89
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 21
 
7.1%
스 15
 
5.1%
사 10
 
3.4%
식 8
 
2.7%
회 8
 
2.7%
름 8
 
2.7%
필 8
 
2.7%
엔 7
 
2.4%
인 7
 
2.4%
디 6
 
2.0%
Other values (120) 199
67.0%
ASCII
ValueCountFrequency (%)
20
22.5%
( 14
15.7%
) 14
15.7%
n 4
 
4.5%
e 4
 
4.5%
E 4
 
4.5%
t 3
 
3.4%
T 3
 
3.4%
a 2
 
2.2%
r 2
 
2.2%
Other values (16) 19
21.3%

최종수정일자
Date

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2010-05-03 10:24:49
Maximum2024-02-23 10:39:00
2024-05-11T14:46:38.142632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:38.338215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
I
42 
U
5 

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 42
89.4%
U 5
 
10.6%

Length

2024-05-11T14:46:38.524284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:38.664138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 42
89.4%
u 5
 
10.6%

데이터갱신일자
Date

Distinct22
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:04:00
2024-05-11T14:46:38.869680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:39.067430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

좌표정보(X)
Real number (ℝ)

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204668.22
Minimum202181.21
Maximum206603.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T14:46:39.549907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202181.21
5-th percentile202482.11
Q1203408.89
median205094.86
Q3205737.34
95-th percentile206348.75
Maximum206603.23
Range4422.0224
Interquartile range (IQR)2328.4541

Descriptive statistics

Standard deviation1323.3391
Coefficient of variation (CV)0.0064657769
Kurtosis-1.1773241
Mean204668.22
Median Absolute Deviation (MAD)1005.0399
Skewness-0.44821756
Sum9619406.5
Variance1751226.3
MonotonicityNot monotonic
2024-05-11T14:46:39.748326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
205779.879144295 2
 
4.3%
204089.817117361 1
 
2.1%
202931.650778943 1
 
2.1%
205746.750137633 1
 
2.1%
204453.769359603 1
 
2.1%
203447.397142128 1
 
2.1%
203981.600387372 1
 
2.1%
204976.636840739 1
 
2.1%
205375.859367082 1
 
2.1%
203370.380240568 1
 
2.1%
Other values (36) 36
76.6%
ValueCountFrequency (%)
202181.207534347 1
2.1%
202233.604900045 1
2.1%
202433.287319013 1
2.1%
202596.042491419 1
2.1%
202748.961554668 1
2.1%
202852.576805124 1
2.1%
202929.480858008 1
2.1%
202931.650778943 1
2.1%
202963.108980033 1
2.1%
203075.098504907 1
2.1%
ValueCountFrequency (%)
206603.229942876 1
2.1%
206420.104216497 1
2.1%
206394.564847225 1
2.1%
206241.836930883 1
2.1%
206179.384647281 1
2.1%
206101.9138443 1
2.1%
206090.434292925 1
2.1%
205974.654499441 1
2.1%
205779.879144295 2
4.3%
205746.750137633 1
2.1%

좌표정보(Y)
Real number (ℝ)

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453080.7
Minimum451178.25
Maximum455477.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T14:46:39.963278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451178.25
5-th percentile451250.76
Q1452151.77
median452981.8
Q3453841.33
95-th percentile454990.4
Maximum455477.12
Range4298.8694
Interquartile range (IQR)1689.5542

Descriptive statistics

Standard deviation1153.9467
Coefficient of variation (CV)0.00254689
Kurtosis-0.78433731
Mean453080.7
Median Absolute Deviation (MAD)833.94507
Skewness0.1294248
Sum21294793
Variance1331593
MonotonicityNot monotonic
2024-05-11T14:46:40.156635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
451178.252649445 2
 
4.3%
453314.135663101 1
 
2.1%
452651.649130223 1
 
2.1%
451405.339026517 1
 
2.1%
452031.65866205 1
 
2.1%
454307.301392064 1
 
2.1%
453350.9078431 1
 
2.1%
452147.851442969 1
 
2.1%
451659.438882295 1
 
2.1%
454166.575055678 1
 
2.1%
Other values (36) 36
76.6%
ValueCountFrequency (%)
451178.252649445 2
4.3%
451188.98888402 1
2.1%
451394.889425203 1
2.1%
451405.339026517 1
2.1%
451439.040451239 1
2.1%
451659.438882295 1
2.1%
451858.754428857 1
2.1%
452031.65866205 1
2.1%
452088.415031493 1
2.1%
452102.733064064 1
2.1%
ValueCountFrequency (%)
455477.122092268 1
2.1%
455095.436196489 1
2.1%
455026.122654745 1
2.1%
454907.049240855 1
2.1%
454790.470257221 1
2.1%
454423.044030069 1
2.1%
454419.097233361 1
2.1%
454371.016408036 1
2.1%
454307.301392064 1
2.1%
454273.621685626 1
2.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
영화제작업
38 
<NA>
9 

Length

Max length5
Median length5
Mean length4.8085106
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 38
80.9%
<NA> 9
 
19.1%

Length

2024-05-11T14:46:40.356954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:40.512577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 38
80.9%
na 9
 
19.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
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> 44
93.6%
0 3
 
6.4%

Length

2024-05-11T14:46:40.671476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:40.812247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
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> 44
93.6%
0 3
 
6.4%

Length

2024-05-11T14:46:41.022118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:41.360311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
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> 44
93.6%
0 3
 
6.4%

Length

2024-05-11T14:46:41.513175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:41.676035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
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> 44
93.6%
0 3
 
6.4%

Length

2024-05-11T14:46:41.827579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:41.974401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
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> 44
93.6%
0 3
 
6.4%

Length

2024-05-11T14:46:42.103008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:42.262091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
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> 44
93.6%
0 3
 
6.4%

Length

2024-05-11T14:46:42.448477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:42.618930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
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> 44
93.6%
0 3
 
6.4%

Length

2024-05-11T14:46:42.797109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:42.963010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
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> 44
93.6%
0 3
 
6.4%

Length

2024-05-11T14:46:43.126790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:43.293446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
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> 44
93.6%
0 3
 
6.4%

Length

2024-05-11T14:46:43.502989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:43.686629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing9
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean20127283
Minimum19960724
Maximum20211119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T14:46:43.857671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960724
5-th percentile20009146
Q120100664
median20135816
Q320170477
95-th percentile20202670
Maximum20211119
Range250395
Interquartile range (IQR)69812.75

Descriptive statistics

Standard deviation60137.746
Coefficient of variation (CV)0.0029878719
Kurtosis0.50840596
Mean20127283
Median Absolute Deviation (MAD)35044
Skewness-0.81771724
Sum7.6483677 × 108
Variance3.6165485 × 109
MonotonicityNot monotonic
2024-05-11T14:46:44.080055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20170601 1
 
2.1%
20160929 1
 
2.1%
20170105 1
 
2.1%
20150109 1
 
2.1%
20180510 1
 
2.1%
20140922 1
 
2.1%
20190426 1
 
2.1%
20190712 1
 
2.1%
20180618 1
 
2.1%
20141027 1
 
2.1%
Other values (28) 28
59.6%
(Missing) 9
 
19.1%
ValueCountFrequency (%)
19960724 1
2.1%
20000803 1
2.1%
20010618 1
2.1%
20050414 1
2.1%
20050725 1
2.1%
20070615 1
2.1%
20080111 1
2.1%
20081103 1
2.1%
20081205 1
2.1%
20100513 1
2.1%
ValueCountFrequency (%)
20211119 1
2.1%
20210827 1
2.1%
20201230 1
2.1%
20200722 1
2.1%
20200410 1
2.1%
20190712 1
2.1%
20190426 1
2.1%
20180618 1
2.1%
20180510 1
2.1%
20170601 1
2.1%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03050000CDFF521101199600000119960724<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 ***-*번지 미주A상가 지하서울특별시 동대문구 왕산로 *** (청량리동)130867(주)미주영화2011-10-30 13:26:40I2018-08-31 23:59:59.0<NA>204089.817117453314.135663영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19960724<NA>
13050000CDFF521101200000000120000803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 ***-**번지서울특별시 동대문구 휘경로*길 **-* (이문동)130826진두필름2013-12-23 13:38:45I2018-08-31 23:59:59.0<NA>205538.085766455026.122655영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000803<NA>
23050000CDFF521101200100000120010618<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>130811서울특별시 동대문구 신설동 **-**번지서울특별시 동대문구 왕산로 ** (신설동)130811(주)미디어믹스엔터테인먼트2014-09-02 17:08:01I2018-08-31 23:59:59.0<NA>202233.6049452654.526626영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010618<NA>
33050000CDFF521101200500000120050414<NA>3폐업3폐업20120127<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 ***-***번지 (안암빌딩*층)<NA><NA>(주)한국가톨릭영상사업단2012-01-27 14:06:20I2018-08-31 23:59:59.0<NA>202596.042491453352.749287영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050414<NA>
43050000CDFF521101200500000220050725<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>130812서울특별시 동대문구 신설동 ***-*번지 (문정빌딩 *층)서울특별시 동대문구 천호대로 **, *층 (신설동, 문정빌딩)130812(주)다물영상제작소2013-12-23 13:40:01I2018-08-31 23:59:59.0<NA>202181.207534452510.057803영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050725<NA>
53050000CDFF521101200700000120070615<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>130781서울특별시 동대문구 청량리동 ***-*번지 미주아파트 *동 ***호서울특별시 동대문구 약령시로 ***, *동 ***호 (청량리동, 미주아파트)130781으랏차필름2013-12-23 13:43:21I2018-08-31 23:59:59.0<NA>204064.778239453515.197189영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070615<NA>
63050000CDFF521101200800000120080111<NA>3폐업3폐업20081001<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 ***-**번지<NA><NA>반디영화사2010-05-03 10:24:49I2018-08-31 23:59:59.0<NA>203688.772174453676.814947영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080111<NA>
73050000CDFF521101200800000220081103<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>130776서울특별시 동대문구 청량리동 ***-*번지 현대아파트 *동 ***호서울특별시 동대문구 약령시로**길 **, *동 ***호 (청량리동, 현대아파트)130776김동주필름2013-12-23 13:44:41I2018-08-31 23:59:59.0<NA>204024.364989453631.247249영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20081103<NA>
83050000CDFF521101200800000320081205<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>130826서울특별시 동대문구 이문동 ***-**번지 B***서울특별시 동대문구 휘경로*길 **-*, B***호 (이문동)130826오리엔탈픽쳐스2013-12-23 13:45:48I2018-08-31 23:59:59.0<NA>205639.223263455095.436196영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20081205<NA>
93050000CDFF521101200900000120090622<NA>3폐업3폐업20220524<NA><NA><NA>02-2215-3777<NA><NA>서울특별시 동대문구 장안동 ***-** (*층)서울특별시 동대문구 천호대로**길 **, *층 (장안동)130845(주)인앤인픽쳐스2022-05-25 10:14:09U2021-12-04 22:07:00.0<NA>205779.879144451178.252649<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
373050000CDFF521101202100000120210827<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 **-** ***호서울특별시 동대문구 제기로*길 **, ***호 (제기동)2475품 Entertainment2021-08-27 09:00:14I2021-08-29 00:22:50.0<NA>202963.10898453595.952127영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20210827<NA>
383050000CDFF521101202100000220151019<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* 장안삼성쉐르빌 ***호서울특별시 동대문구 장한로 ***, *층 ***호 (장안동, 장안삼성쉐르빌)2624(주)조이유니온2021-10-06 12:59:30I2021-10-07 00:22:47.0<NA>206101.913844452155.691149영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20151019<NA>
393050000CDFF521101202100000320211119<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* 장안동 파크뷰아파트 ***호서울특별시 동대문구 장한로**길 *, ***호 (장안동, 장안동 파크뷰아파트)2526다크룸2021-11-19 17:34:34I2021-11-21 00:22:44.0<NA>206241.836931452695.635049영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20211119<NA>
403050000CDFF52110120220000012022-04-06<NA>5제외/삭제/전출15전출2023-04-18<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 ***-***서울특별시 동대문구 이문로*길 ** (휘경동)2444스튜디오49에이2023-04-18 13:32:33U2022-12-03 22:00:00.0<NA>205150.148208454371.016408<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413050000CDFF521101202200000220220415<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 ***-*** 포레스트힐 ***상가(엠)서울특별시 동대문구 망우로**길 **-*, ***상가(엠) (휘경동)2499주식회사 티에이치스토리(TH STORY)2022-04-15 09:01:58I2021-12-03 23:07:00.0<NA>205356.671619454005.836111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423050000CDFF521101202300000120230119<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 ***-**서울특별시 동대문구 이문로**길 ** (이문동)2410싸리나무 필름2023-01-19 18:07:00I2022-11-30 22:01:00.0<NA>205709.540521455477.122092<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433050000CDFF52110120230000022023-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2248-0985<NA><NA>서울특별시 동대문구 장안동 ***-* *층서울특별시 동대문구 답십리로 ***-*, *층 (장안동)2524주식회사 그레가2023-04-26 17:42:15I2022-12-03 22:08:00.0<NA>206603.229943452264.291909<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443050000CDFF52110120230000032023-08-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 *** 안암골 벽산아파트서울특별시 동대문구 약령시로 **, ***동 ****호 (제기동, 안암골 벽산아파트)2477주식회사 스튜디오텍스트2023-08-01 15:29:49I2022-12-08 00:03:00.0<NA>202748.961555453461.616078<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453050000CDFF52110120240000012024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* 우민에뜨와르오피스텔서울특별시 동대문구 한천로**길 **, 우민에뜨와르오피스텔 ****호 (장안동)2625더 프레임(The Frame)2024-02-02 09:33:58I2023-12-02 00:04:00.0<NA>205974.654499451858.754429<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463050000CDFF52110120240000022024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 답십리동 ***-* 답십리한화오벨리스크 ****호서울특별시 동대문구 천호대로 ***, 답십리한화오벨리스크 ****호 (답십리동)2622물결픽쳐스2024-02-23 10:39:00I2023-12-01 22:05:00.0<NA>204884.796368451394.889425<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>