Overview

Dataset statistics

Number of variables56
Number of observations107
Missing cells3111
Missing cells (%)51.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.4 KiB
Average record size in memory492.2 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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17738/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (86.6%)Imbalance
시설면적 is highly imbalanced (86.6%)Imbalance
지상층수 is highly imbalanced (86.6%)Imbalance
지하층수 is highly imbalanced (86.6%)Imbalance
통로너비 is highly imbalanced (86.6%)Imbalance
조명시설조도 is highly imbalanced (86.6%)Imbalance
노래방실수 is highly imbalanced (86.6%)Imbalance
청소년실수 is highly imbalanced (86.6%)Imbalance
총게임기수 is highly imbalanced (86.6%)Imbalance
인허가취소일자 has 107 (100.0%) missing valuesMissing
폐업일자 has 81 (75.7%) missing valuesMissing
휴업시작일자 has 107 (100.0%) missing valuesMissing
휴업종료일자 has 107 (100.0%) missing valuesMissing
재개업일자 has 107 (100.0%) missing valuesMissing
전화번호 has 88 (82.2%) missing valuesMissing
소재지면적 has 107 (100.0%) missing valuesMissing
소재지우편번호 has 98 (91.6%) missing valuesMissing
도로명우편번호 has 17 (15.9%) missing valuesMissing
업태구분명 has 107 (100.0%) missing valuesMissing
좌표정보(X) has 4 (3.7%) missing valuesMissing
좌표정보(Y) has 4 (3.7%) missing valuesMissing
문화사업자구분명 has 107 (100.0%) missing valuesMissing
주변환경명 has 107 (100.0%) missing valuesMissing
제작취급품목내용 has 107 (100.0%) missing valuesMissing
건물용도명 has 107 (100.0%) missing valuesMissing
비상계단여부 has 107 (100.0%) missing valuesMissing
비상구여부 has 107 (100.0%) missing valuesMissing
자동환기여부 has 107 (100.0%) missing valuesMissing
청소년실여부 has 107 (100.0%) missing valuesMissing
특수조명여부 has 107 (100.0%) missing valuesMissing
방음시설여부 has 107 (100.0%) missing valuesMissing
비디오재생기명 has 107 (100.0%) missing valuesMissing
조명시설유무 has 107 (100.0%) missing valuesMissing
음향시설여부 has 107 (100.0%) missing valuesMissing
편의시설여부 has 107 (100.0%) missing valuesMissing
소방시설여부 has 107 (100.0%) missing valuesMissing
기존게임업외업종명 has 107 (100.0%) missing valuesMissing
제공게임물명 has 107 (100.0%) missing valuesMissing
공연장형태구분명 has 107 (100.0%) missing valuesMissing
품목명 has 107 (100.0%) missing valuesMissing
최초등록시점 has 36 (33.6%) missing valuesMissing
지역구분명 has 107 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:26:58.643524
Analysis finished2024-04-29 19:26:59.475594
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
3110000
107 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 107
100.0%

Length

2024-04-30T04:26:59.532318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:59.607265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 107
100.0%

관리번호
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-04-30T04:26:59.749324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2140
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

Unique107 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011999000001
2nd rowCDFF5211012003000001
3rd rowCDFF5211012004000001
4th rowCDFF5211012005000001
5th rowCDFF5211012008000001
ValueCountFrequency (%)
cdff5211011999000001 1
 
0.9%
cdff5211012018000005 1
 
0.9%
cdff5211012021000002 1
 
0.9%
cdff5211012021000001 1
 
0.9%
cdff5211012020000013 1
 
0.9%
cdff5211012020000012 1
 
0.9%
cdff5211012020000011 1
 
0.9%
cdff5211012020000010 1
 
0.9%
cdff5211012020000009 1
 
0.9%
cdff5211012020000008 1
 
0.9%
Other values (97) 97
90.7%
2024-04-30T04:27:00.023797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 770
36.0%
1 414
19.3%
2 281
 
13.1%
F 214
 
10.0%
5 127
 
5.9%
C 107
 
5.0%
D 107
 
5.0%
4 29
 
1.4%
3 29
 
1.4%
9 17
 
0.8%
Other values (3) 45
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1712
80.0%
Uppercase Letter 428
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 770
45.0%
1 414
24.2%
2 281
 
16.4%
5 127
 
7.4%
4 29
 
1.7%
3 29
 
1.7%
9 17
 
1.0%
8 16
 
0.9%
6 16
 
0.9%
7 13
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 214
50.0%
C 107
25.0%
D 107
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1712
80.0%
Latin 428
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 770
45.0%
1 414
24.2%
2 281
 
16.4%
5 127
 
7.4%
4 29
 
1.7%
3 29
 
1.7%
9 17
 
1.0%
8 16
 
0.9%
6 16
 
0.9%
7 13
 
0.8%
Latin
ValueCountFrequency (%)
F 214
50.0%
C 107
25.0%
D 107
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 770
36.0%
1 414
19.3%
2 281
 
13.1%
F 214
 
10.0%
5 127
 
5.9%
C 107
 
5.0%
D 107
 
5.0%
4 29
 
1.4%
3 29
 
1.4%
9 17
 
0.8%
Other values (3) 45
 
2.1%

인허가일자
Date

Distinct105
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum1999-07-24 00:00:00
Maximum2024-02-28 00:00:00
2024-04-30T04:27:00.144883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:00.252576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
1
81 
3
18 
5
 
8

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 81
75.7%
3 18
 
16.8%
5 8
 
7.5%

Length

2024-04-30T04:27:00.386909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:00.466592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
75.7%
3 18
 
16.8%
5 8
 
7.5%

영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
영업/정상
81 
폐업
18 
제외/삭제/전출
 
8

Length

Max length8
Median length5
Mean length4.7196262
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 81
75.7%
폐업 18
 
16.8%
제외/삭제/전출 8
 
7.5%

Length

2024-04-30T04:27:00.562733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:00.649637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 81
75.7%
폐업 18
 
16.8%
제외/삭제/전출 8
 
7.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
13
81 
3
18 
15
 
8

Length

Max length2
Median length2
Mean length1.8317757
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 81
75.7%
3 18
 
16.8%
15 8
 
7.5%

Length

2024-04-30T04:27:00.739794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:00.816869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 81
75.7%
3 18
 
16.8%
15 8
 
7.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
영업중
81 
폐업
18 
전출
 
8

Length

Max length3
Median length3
Mean length2.7570093
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 81
75.7%
폐업 18
 
16.8%
전출 8
 
7.5%

Length

2024-04-30T04:27:00.905463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:01.004800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 81
75.7%
폐업 18
 
16.8%
전출 8
 
7.5%

폐업일자
Date

MISSING 

Distinct24
Distinct (%)92.3%
Missing81
Missing (%)75.7%
Memory size988.0 B
Minimum2010-08-05 00:00:00
Maximum2024-02-02 00:00:00
2024-04-30T04:27:01.082501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:01.169337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing88
Missing (%)82.2%
Memory size988.0 B
2024-04-30T04:27:01.291189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10
Min length1

Characters and Unicode

Total characters190
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)89.5%

Sample

1st row02-355-5242
2nd row02-733-6191
3rd row02-354-4793
4th row02-352-0766
5th row02-357-3373
ValueCountFrequency (%)
2
 
10.5%
02-6012-5452 1
 
5.3%
02-355-5242 1
 
5.3%
02-302-7452 1
 
5.3%
028580819 1
 
5.3%
07042381709 1
 
5.3%
02-3445-1036 1
 
5.3%
02-358-7599 1
 
5.3%
07041420689 1
 
5.3%
02-354-1830 1
 
5.3%
Other values (8) 8
42.1%
2024-04-30T04:27:01.540864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
15.8%
- 28
14.7%
2 26
13.7%
3 23
12.1%
5 19
10.0%
4 13
6.8%
7 13
6.8%
8 11
 
5.8%
1 9
 
4.7%
6 8
 
4.2%
Other values (2) 10
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
84.2%
Dash Punctuation 28
 
14.7%
Other Punctuation 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
18.8%
2 26
16.2%
3 23
14.4%
5 19
11.9%
4 13
8.1%
7 13
8.1%
8 11
 
6.9%
1 9
 
5.6%
6 8
 
5.0%
9 8
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
15.8%
- 28
14.7%
2 26
13.7%
3 23
12.1%
5 19
10.0%
4 13
6.8%
7 13
6.8%
8 11
 
5.8%
1 9
 
4.7%
6 8
 
4.2%
Other values (2) 10
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
15.8%
- 28
14.7%
2 26
13.7%
3 23
12.1%
5 19
10.0%
4 13
6.8%
7 13
6.8%
8 11
 
5.8%
1 9
 
4.7%
6 8
 
4.2%
Other values (2) 10
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing98
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean122769.33
Minimum122081
Maximum122917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T04:27:01.632822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122081
5-th percentile122368.6
Q1122816
median122851
Q3122868
95-th percentile122907.8
Maximum122917
Range836
Interquartile range (IQR)52

Descriptive statistics

Standard deviation260.62137
Coefficient of variation (CV)0.002122854
Kurtosis8.5169861
Mean122769.33
Median Absolute Deviation (MAD)35
Skewness-2.8898086
Sum1104924
Variance67923.5
MonotonicityNot monotonic
2024-04-30T04:27:01.708838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
122858 1
 
0.9%
122851 1
 
0.9%
122800 1
 
0.9%
122816 1
 
0.9%
122839 1
 
0.9%
122894 1
 
0.9%
122917 1
 
0.9%
122868 1
 
0.9%
122081 1
 
0.9%
(Missing) 98
91.6%
ValueCountFrequency (%)
122081 1
0.9%
122800 1
0.9%
122816 1
0.9%
122839 1
0.9%
122851 1
0.9%
122858 1
0.9%
122868 1
0.9%
122894 1
0.9%
122917 1
0.9%
ValueCountFrequency (%)
122917 1
0.9%
122894 1
0.9%
122868 1
0.9%
122858 1
0.9%
122851 1
0.9%
122839 1
0.9%
122816 1
0.9%
122800 1
0.9%
122081 1
0.9%

지번주소
Text

Distinct100
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-04-30T04:27:01.889204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length27.598131
Min length17

Characters and Unicode

Total characters2953
Distinct characters126
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)87.9%

Sample

1st row서울특별시 은평구 갈현동 ***-***번지
2nd row서울특별시 은평구 불광동 ***-*번지
3rd row서울특별시 은평구 증산동 산 **-** 한신빌라
4th row서울특별시 은평구 불광동 ***-*번지 금성빌딩 *층
5th row서울특별시 은평구 갈현동 *-**번지
ValueCountFrequency (%)
서울특별시 107
18.4%
은평구 107
18.4%
55
9.5%
호 54
9.3%
번지 50
 
8.6%
동 20
 
3.4%
불광동 18
 
3.1%
응암동 15
 
2.6%
증산동 14
 
2.4%
갈현동 12
 
2.1%
Other values (64) 129
22.2%
2024-04-30T04:27:02.233613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 662
22.4%
510
17.3%
동 136
 
4.6%
은 113
 
3.8%
구 113
 
3.8%
평 112
 
3.8%
서 109
 
3.7%
울 109
 
3.7%
특 107
 
3.6%
별 107
 
3.6%
Other values (116) 875
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1681
56.9%
Other Punctuation 662
 
22.4%
Space Separator 510
 
17.3%
Dash Punctuation 84
 
2.8%
Decimal Number 11
 
0.4%
Uppercase Letter 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 136
 
8.1%
은 113
 
6.7%
구 113
 
6.7%
평 112
 
6.7%
서 109
 
6.5%
울 109
 
6.5%
특 107
 
6.4%
별 107
 
6.4%
시 107
 
6.4%
번 60
 
3.6%
Other values (105) 608
36.2%
Decimal Number
ValueCountFrequency (%)
1 4
36.4%
3 3
27.3%
8 2
18.2%
7 1
 
9.1%
0 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 662
100.0%
Space Separator
ValueCountFrequency (%)
510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1681
56.9%
Common 1269
43.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 136
 
8.1%
은 113
 
6.7%
구 113
 
6.7%
평 112
 
6.7%
서 109
 
6.5%
울 109
 
6.5%
특 107
 
6.4%
별 107
 
6.4%
시 107
 
6.4%
번 60
 
3.6%
Other values (105) 608
36.2%
Common
ValueCountFrequency (%)
* 662
52.2%
510
40.2%
- 84
 
6.6%
1 4
 
0.3%
3 3
 
0.2%
8 2
 
0.2%
7 1
 
0.1%
0 1
 
0.1%
( 1
 
0.1%
) 1
 
0.1%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1681
56.9%
ASCII 1272
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 662
52.0%
510
40.1%
- 84
 
6.6%
1 4
 
0.3%
B 3
 
0.2%
3 3
 
0.2%
8 2
 
0.2%
7 1
 
0.1%
0 1
 
0.1%
( 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 136
 
8.1%
은 113
 
6.7%
구 113
 
6.7%
평 112
 
6.7%
서 109
 
6.5%
울 109
 
6.5%
특 107
 
6.4%
별 107
 
6.4%
시 107
 
6.4%
번 60
 
3.6%
Other values (105) 608
36.2%

도로명주소
Text

Distinct101
Distinct (%)95.3%
Missing1
Missing (%)0.9%
Memory size988.0 B
2024-04-30T04:27:02.451940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length35.971698
Min length23

Characters and Unicode

Total characters3813
Distinct characters140
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)90.6%

Sample

1st row서울특별시 은평구 갈현로**길 ** (갈현동)
2nd row서울특별시 은평구 불광로 ** (불광동)
3rd row서울특별시 은평구 증산로*길 **-*, 상가동 *층 (증산동, 한신빌라)
4th row서울특별시 은평구 연서로 *** (불광동,금성빌딩 *층)
5th row서울특별시 은평구 갈현로**길 **-* (갈현동)
ValueCountFrequency (%)
서울특별시 106
14.7%
은평구 106
14.7%
104
14.5%
호 68
 
9.5%
동 25
 
3.5%
층 20
 
2.8%
불광동 17
 
2.4%
응암동 14
 
1.9%
통일로 12
 
1.7%
증산동 11
 
1.5%
Other values (113) 236
32.8%
2024-04-30T04:27:02.814322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 719
18.9%
621
16.3%
동 144
 
3.8%
, 134
 
3.5%
서 121
 
3.2%
은 120
 
3.1%
평 119
 
3.1%
구 112
 
2.9%
울 108
 
2.8%
) 108
 
2.8%
Other values (130) 1507
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2055
53.9%
Other Punctuation 853
22.4%
Space Separator 621
 
16.3%
Close Punctuation 108
 
2.8%
Open Punctuation 108
 
2.8%
Dash Punctuation 51
 
1.3%
Decimal Number 13
 
0.3%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 144
 
7.0%
서 121
 
5.9%
은 120
 
5.8%
평 119
 
5.8%
구 112
 
5.5%
울 108
 
5.3%
특 106
 
5.2%
별 106
 
5.2%
시 106
 
5.2%
로 106
 
5.2%
Other values (115) 907
44.1%
Decimal Number
ValueCountFrequency (%)
1 3
23.1%
0 3
23.1%
9 2
15.4%
3 2
15.4%
2 1
 
7.7%
4 1
 
7.7%
6 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 719
84.3%
, 134
 
15.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
621
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2055
53.9%
Common 1754
46.0%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 144
 
7.0%
서 121
 
5.9%
은 120
 
5.8%
평 119
 
5.8%
구 112
 
5.5%
울 108
 
5.3%
특 106
 
5.2%
별 106
 
5.2%
시 106
 
5.2%
로 106
 
5.2%
Other values (115) 907
44.1%
Common
ValueCountFrequency (%)
* 719
41.0%
621
35.4%
, 134
 
7.6%
) 108
 
6.2%
( 108
 
6.2%
- 51
 
2.9%
1 3
 
0.2%
0 3
 
0.2%
9 2
 
0.1%
3 2
 
0.1%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2055
53.9%
ASCII 1758
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 719
40.9%
621
35.3%
, 134
 
7.6%
) 108
 
6.1%
( 108
 
6.1%
- 51
 
2.9%
B 3
 
0.2%
1 3
 
0.2%
0 3
 
0.2%
9 2
 
0.1%
Other values (5) 6
 
0.3%
Hangul
ValueCountFrequency (%)
동 144
 
7.0%
서 121
 
5.9%
은 120
 
5.8%
평 119
 
5.8%
구 112
 
5.5%
울 108
 
5.3%
특 106
 
5.2%
별 106
 
5.2%
시 106
 
5.2%
로 106
 
5.2%
Other values (115) 907
44.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)71.1%
Missing17
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean21952.333
Minimum3301
Maximum122941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T04:27:02.946516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3301
5-th percentile3303.45
Q13354.25
median3400.5
Q33485.75
95-th percentile122912.3
Maximum122941
Range119640
Interquartile range (IQR)131.5

Descriptive statistics

Standard deviation43485.469
Coefficient of variation (CV)1.9809042
Kurtosis1.7760841
Mean21952.333
Median Absolute Deviation (MAD)74.5
Skewness1.9331352
Sum1975710
Variance1.890986 × 109
MonotonicityNot monotonic
2024-04-30T04:27:03.076788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3360 5
 
4.7%
3371 4
 
3.7%
3396 4
 
3.7%
3311 4
 
3.7%
3494 3
 
2.8%
3433 3
 
2.8%
3434 2
 
1.9%
3453 2
 
1.9%
3499 2
 
1.9%
3303 2
 
1.9%
Other values (54) 59
55.1%
(Missing) 17
 
15.9%
ValueCountFrequency (%)
3301 1
 
0.9%
3302 2
1.9%
3303 2
1.9%
3304 1
 
0.9%
3308 1
 
0.9%
3311 4
3.7%
3313 1
 
0.9%
3315 1
 
0.9%
3317 1
 
0.9%
3319 1
 
0.9%
ValueCountFrequency (%)
122941 1
0.9%
122937 1
0.9%
122935 1
0.9%
122915 2
1.9%
122909 1
0.9%
122901 1
0.9%
122856 1
0.9%
122823 1
0.9%
122807 1
0.9%
122804 1
0.9%

사업장명
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-04-30T04:27:03.301178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length8.2149533
Min length2

Characters and Unicode

Total characters879
Distinct characters263
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)100.0%

Sample

1st row남진씨네마
2nd row판씨네마(주)
3rd row(주)에스엠필름
4th row삼청교육진상규명전국위원회
5th row스튜디오 반
ValueCountFrequency (%)
주식회사 16
 
9.7%
영화사 4
 
2.4%
필름 4
 
2.4%
픽쳐스 3
 
1.8%
프로덕션 2
 
1.2%
film 2
 
1.2%
스튜디오 2
 
1.2%
위84(we84 1
 
0.6%
설렘 1
 
0.6%
노랑 1
 
0.6%
Other values (129) 129
78.2%
2024-04-30T04:27:03.653738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
6.6%
스 38
 
4.3%
주 27
 
3.1%
사 26
 
3.0%
이 25
 
2.8%
) 24
 
2.7%
( 24
 
2.7%
회 17
 
1.9%
식 16
 
1.8%
필 14
 
1.6%
Other values (253) 610
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 618
70.3%
Lowercase Letter 83
 
9.4%
Uppercase Letter 59
 
6.7%
Space Separator 58
 
6.6%
Close Punctuation 24
 
2.7%
Open Punctuation 24
 
2.7%
Decimal Number 8
 
0.9%
Other Punctuation 3
 
0.3%
Other Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 38
 
6.1%
주 27
 
4.4%
사 26
 
4.2%
이 25
 
4.0%
회 17
 
2.8%
식 16
 
2.6%
필 14
 
2.3%
름 14
 
2.3%
디 14
 
2.3%
로 11
 
1.8%
Other values (201) 416
67.3%
Uppercase Letter
ValueCountFrequency (%)
S 9
15.3%
F 5
 
8.5%
A 5
 
8.5%
O 5
 
8.5%
U 4
 
6.8%
I 4
 
6.8%
N 4
 
6.8%
P 3
 
5.1%
L 2
 
3.4%
R 2
 
3.4%
Other values (10) 16
27.1%
Lowercase Letter
ValueCountFrequency (%)
e 12
14.5%
o 10
12.0%
t 7
 
8.4%
l 7
 
8.4%
r 6
 
7.2%
a 6
 
7.2%
d 5
 
6.0%
n 4
 
4.8%
s 4
 
4.8%
i 4
 
4.8%
Other values (9) 18
21.7%
Decimal Number
ValueCountFrequency (%)
4 2
25.0%
8 2
25.0%
3 1
12.5%
9 1
12.5%
5 1
12.5%
2 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
70.4%
Latin 142
 
16.2%
Common 118
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 38
 
6.1%
주 27
 
4.4%
사 26
 
4.2%
이 25
 
4.0%
회 17
 
2.7%
식 16
 
2.6%
필 14
 
2.3%
름 14
 
2.3%
디 14
 
2.3%
로 11
 
1.8%
Other values (202) 417
67.4%
Latin
ValueCountFrequency (%)
e 12
 
8.5%
o 10
 
7.0%
S 9
 
6.3%
t 7
 
4.9%
l 7
 
4.9%
r 6
 
4.2%
a 6
 
4.2%
F 5
 
3.5%
A 5
 
3.5%
d 5
 
3.5%
Other values (29) 70
49.3%
Common
ValueCountFrequency (%)
58
49.2%
) 24
20.3%
( 24
20.3%
4 2
 
1.7%
8 2
 
1.7%
. 2
 
1.7%
- 1
 
0.8%
3 1
 
0.8%
9 1
 
0.8%
5 1
 
0.8%
Other values (2) 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 618
70.3%
ASCII 260
29.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
22.3%
) 24
 
9.2%
( 24
 
9.2%
e 12
 
4.6%
o 10
 
3.8%
S 9
 
3.5%
t 7
 
2.7%
l 7
 
2.7%
r 6
 
2.3%
a 6
 
2.3%
Other values (41) 97
37.3%
Hangul
ValueCountFrequency (%)
스 38
 
6.1%
주 27
 
4.4%
사 26
 
4.2%
이 25
 
4.0%
회 17
 
2.8%
식 16
 
2.6%
필 14
 
2.3%
름 14
 
2.3%
디 14
 
2.3%
로 11
 
1.8%
Other values (201) 416
67.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2010-07-14 13:31:57
Maximum2024-04-03 09:28:39
2024-04-30T04:27:03.771962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:03.888196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
I
74 
U
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 74
69.2%
U 33
30.8%

Length

2024-04-30T04:27:03.981650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:04.055390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 74
69.2%
u 33
30.8%

데이터갱신일자
Date

Distinct64
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-30T04:27:04.310591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:04.427122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)85.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean192781.95
Minimum190097.34
Maximum194534.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T04:27:04.568773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190097.34
5-th percentile191473.57
Q1192014.45
median192889.41
Q3193556.18
95-th percentile194136.41
Maximum194534.51
Range4437.1656
Interquartile range (IQR)1541.7263

Descriptive statistics

Standard deviation923.82449
Coefficient of variation (CV)0.0047920693
Kurtosis-0.60739391
Mean192781.95
Median Absolute Deviation (MAD)741.20406
Skewness-0.25249997
Sum19856541
Variance853451.69
MonotonicityNot monotonic
2024-04-30T04:27:04.696633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191687.439669628 3
 
2.8%
193630.612534041 3
 
2.8%
191574.65515912 2
 
1.9%
194029.235749604 2
 
1.9%
194142.66805919 2
 
1.9%
192026.358553709 2
 
1.9%
194170.568271966 2
 
1.9%
191462.335536295 2
 
1.9%
193326.661927575 2
 
1.9%
193113.249411396 2
 
1.9%
Other values (78) 81
75.7%
(Missing) 4
 
3.7%
ValueCountFrequency (%)
190097.344843815 1
 
0.9%
190705.326283408 1
 
0.9%
191192.051375093 1
 
0.9%
191215.082591335 1
 
0.9%
191462.335536295 2
1.9%
191574.65515912 2
1.9%
191615.344695783 1
 
0.9%
191628.854937718 2
1.9%
191675.110180024 1
 
0.9%
191687.439669628 3
2.8%
ValueCountFrequency (%)
194534.510398017 1
0.9%
194334.676087006 1
0.9%
194170.568271966 2
1.9%
194142.66805919 2
1.9%
194080.054389048 1
0.9%
194065.238775909 1
0.9%
194041.720875455 1
0.9%
194029.235749604 2
1.9%
193996.626881352 1
0.9%
193946.728248146 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)85.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean456217.67
Minimum452890
Maximum460276.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T04:27:04.814302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452890
5-th percentile453474.68
Q1454740.32
median456302.93
Q3457501.13
95-th percentile458987.72
Maximum460276.41
Range7386.403
Interquartile range (IQR)2760.8043

Descriptive statistics

Standard deviation1802.8133
Coefficient of variation (CV)0.0039516516
Kurtosis-0.65004747
Mean456217.67
Median Absolute Deviation (MAD)1419.3125
Skewness0.11824814
Sum46990420
Variance3250135.7
MonotonicityNot monotonic
2024-04-30T04:27:04.937071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453867.310295044 3
 
2.8%
456543.824996823 3
 
2.8%
453670.444959582 2
 
1.9%
456185.615536089 2
 
1.9%
457794.989468766 2
 
1.9%
457091.037943344 2
 
1.9%
456251.815350627 2
 
1.9%
455341.61526191 2
 
1.9%
454458.493979132 2
 
1.9%
459913.076110867 2
 
1.9%
Other values (78) 81
75.7%
(Missing) 4
 
3.7%
ValueCountFrequency (%)
452890.003005512 1
0.9%
453087.410660763 1
0.9%
453156.773550025 1
0.9%
453357.692278244 1
0.9%
453453.822412173 1
0.9%
453467.79966264 1
0.9%
453536.586445359 1
0.9%
453670.444959582 2
1.9%
453704.302207017 1
0.9%
453778.950240488 1
0.9%
ValueCountFrequency (%)
460276.405968655 1
0.9%
460205.148552801 1
0.9%
459913.076110867 2
1.9%
459903.972312 1
0.9%
458989.138045 1
0.9%
458974.94683568 1
0.9%
458840.730376417 1
0.9%
458613.695753587 1
0.9%
458435.306172361 1
0.9%
458288.23764871 1
0.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
영화제작업
71 
<NA>
36 

Length

Max length5
Median length5
Mean length4.6635514
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 71
66.4%
<NA> 36
33.6%

Length

2024-04-30T04:27:05.076335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:05.182134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 71
66.4%
na 36
33.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
105 
0
 
2

Length

Max length4
Median length4
Mean length3.9439252
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> 105
98.1%
0 2
 
1.9%

Length

2024-04-30T04:27:05.275771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:05.355401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
98.1%
0 2
 
1.9%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
105 
0
 
2

Length

Max length4
Median length4
Mean length3.9439252
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> 105
98.1%
0 2
 
1.9%

Length

2024-04-30T04:27:05.438313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:05.530851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
98.1%
0 2
 
1.9%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
105 
0
 
2

Length

Max length4
Median length4
Mean length3.9439252
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> 105
98.1%
0 2
 
1.9%

Length

2024-04-30T04:27:05.632652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:05.732018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
98.1%
0 2
 
1.9%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
105 
0
 
2

Length

Max length4
Median length4
Mean length3.9439252
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> 105
98.1%
0 2
 
1.9%

Length

2024-04-30T04:27:05.813340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:05.897548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
98.1%
0 2
 
1.9%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
105 
0
 
2

Length

Max length4
Median length4
Mean length3.9439252
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> 105
98.1%
0 2
 
1.9%

Length

2024-04-30T04:27:05.994033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:06.072711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
98.1%
0 2
 
1.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
105 
0
 
2

Length

Max length4
Median length4
Mean length3.9439252
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> 105
98.1%
0 2
 
1.9%

Length

2024-04-30T04:27:06.162279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:06.258290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
98.1%
0 2
 
1.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
105 
0
 
2

Length

Max length4
Median length4
Mean length3.9439252
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> 105
98.1%
0 2
 
1.9%

Length

2024-04-30T04:27:06.340433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:06.419960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
98.1%
0 2
 
1.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
105 
0
 
2

Length

Max length4
Median length4
Mean length3.9439252
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> 105
98.1%
0 2
 
1.9%

Length

2024-04-30T04:27:06.521546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:06.618666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
98.1%
0 2
 
1.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
105 
0
 
2

Length

Max length4
Median length4
Mean length3.9439252
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> 105
98.1%
0 2
 
1.9%

Length

2024-04-30T04:27:06.712584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:06.801500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
98.1%
0 2
 
1.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)97.2%
Missing36
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean20139891
Minimum19990724
Maximum20220125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T04:27:06.896702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990724
5-th percentile20045520
Q120100720
median20141023
Q320180916
95-th percentile20205722
Maximum20220125
Range229401
Interquartile range (IQR)80195.5

Descriptive statistics

Standard deviation51498.124
Coefficient of variation (CV)0.002557021
Kurtosis-0.17603728
Mean20139891
Median Absolute Deviation (MAD)40193
Skewness-0.55789065
Sum1.4299323 × 109
Variance2.6520568 × 109
MonotonicityNot monotonic
2024-04-30T04:27:07.033564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200128 2
 
1.9%
20201229 2
 
1.9%
20171226 1
 
0.9%
20090119 1
 
0.9%
20180528 1
 
0.9%
20130218 1
 
0.9%
20180411 1
 
0.9%
20180320 1
 
0.9%
20130807 1
 
0.9%
20190315 1
 
0.9%
Other values (59) 59
55.1%
(Missing) 36
33.6%
ValueCountFrequency (%)
19990724 1
0.9%
20030927 1
0.9%
20040305 1
0.9%
20040416 1
0.9%
20050623 1
0.9%
20050627 1
0.9%
20080222 1
0.9%
20080723 1
0.9%
20080731 1
0.9%
20081017 1
0.9%
ValueCountFrequency (%)
20220125 1
0.9%
20211025 1
0.9%
20210608 1
0.9%
20210216 1
0.9%
20201229 2
1.9%
20201020 1
0.9%
20200907 1
0.9%
20200713 1
0.9%
20200311 1
0.9%
20200219 1
0.9%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03110000CDFF521101199900000119990724<NA>1영업/정상13영업중<NA><NA><NA><NA>02-355-5242<NA><NA>서울특별시 은평구 갈현동 ***-***번지서울특별시 은평구 갈현로**길 ** (갈현동)122804남진씨네마2011-10-30 15:22:38I2018-08-31 23:59:59.0<NA>192256.930648458204.887224영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990724<NA>
13110000CDFF521101200300000120030927<NA>1영업/정상13영업중<NA><NA><NA><NA>02-733-6191<NA>122858서울특별시 은평구 불광동 ***-*번지서울특별시 은평구 불광로 ** (불광동)<NA>판씨네마(주)2010-07-14 13:43:08I2018-08-31 23:59:59.0<NA>193769.222399456584.229367영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20030927<NA>
23110000CDFF521101200400000120040305<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 증산동 산 **-** 한신빌라서울특별시 은평구 증산로*길 **-*, 상가동 *층 (증산동, 한신빌라)3494(주)에스엠필름2021-01-07 19:48:29U2021-01-09 02:40:00.0<NA>191687.43967453867.310295영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040305<NA>
33110000CDFF521101200500000120050627<NA>1영업/정상13영업중<NA><NA><NA><NA>02-354-4793<NA>122851서울특별시 은평구 불광동 ***-*번지 금성빌딩 *층서울특별시 은평구 연서로 *** (불광동,금성빌딩 *층)<NA>삼청교육진상규명전국위원회2010-07-14 13:31:57I2018-08-31 23:59:59.0<NA>193559.969611457956.208141영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050627<NA>
43110000CDFF521101200800000120080222<NA>1영업/정상13영업중<NA><NA><NA><NA>02-352-0766<NA>122800서울특별시 은평구 갈현동 *-**번지서울특별시 은평구 갈현로**길 **-* (갈현동)<NA>스튜디오 반2020-04-17 09:38:46U2020-04-19 02:40:00.0<NA>192577.717828458288.237649영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080222<NA>
53110000CDFF521101200800000220080731<NA>1영업/정상13영업중<NA><NA><NA><NA>02-357-3373<NA>122816서울특별시 은평구 갈현동 ***-**번지 대광맨션 나동 ***호서울특별시 은평구 서오릉로**길 **-*, 나동 ***호 (갈현동,대광맨션)<NA>판타픽쳐스2010-07-14 13:50:52I2018-08-31 23:59:59.0<NA>192106.07101457231.531875영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080731<NA>
63110000CDFF521101200800000320081017<NA>1영업/정상13영업중<NA><NA><NA><NA>02-388-8937<NA>122839서울특별시 은평구 대조동 **-**번지 *층 ***호서울특별시 은평구 진흥로**길 **, ***호 (대조동,*층)<NA>다큐희망2010-07-14 13:59:55I2018-08-31 23:59:59.0<NA>193100.945481456195.630102영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20081017<NA>
73110000CDFF521101200900000120090209<NA>1영업/정상13영업중<NA><NA><NA><NA>02-558-6502<NA>122894서울특별시 은평구 신사동 ***번지 현대아파트 ***동 ****호서울특별시 은평구 은평터널로 ***, ***동 ****호 (신사동,현대아파트)<NA>(주)필름걸2010-07-14 13:53:32I2018-08-31 23:59:59.0<NA>191859.619258454581.328201영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090209<NA>
83110000CDFF521101200900000220091008<NA>1영업/정상13영업중<NA><NA><NA><NA>02-373-4372<NA>122917서울특별시 은평구 응암동 ***-**번지서울특별시 은평구 가좌로*나길 **-** (응암동)<NA>이홍재 필름2010-07-14 13:57:23I2018-08-31 23:59:59.0<NA>192867.176622453536.586445영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20091008<NA>
93110000CDFF521101200900000320090817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>122868서울특별시 은평구 불광동 ***-**번지서울특별시 은평구 통일로**다길 ** (불광동)<NA>램프 프로덕션2010-07-14 14:02:09I2018-08-31 23:59:59.0<NA>193289.497787458022.470578영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090817<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
973110000CDFF52110120240000032024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 ** ***동 ***호서울특별시 은평구 진관*로 **, 은평뉴타운 상림마을 ***동 ***호 (진관동)3302영화사 바탕2024-02-13 11:05:42I2023-12-01 23:05:00.0<NA>193113.249411459913.076111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
983110000CDFF52110120240000042024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 ***-** 은뜨락 ***동 ****호서울특별시 은평구 통일로 ***, ***동 ****호 (진관동, 은뜨락)3311람람필름2024-02-14 09:18:28I2023-12-01 23:06:00.0<NA>192872.68647458613.695754<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
993110000CDFF52110120240000052024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 ***-** 두진아이브 ***호서울특별시 은평구 연서로 ***-**, 두진아이브 ***호 (불광동)3350마이너필름2024-02-15 17:20:48I2023-12-01 23:07:00.0<NA>193224.378723457506.952291<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1003110000CDFF52110120240000062024-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 *** 은평뉴타운 박석고개 ***동 ***호서울특별시 은평구 진관*로 **-**, ***동 ***호 (진관동, 은평뉴타운 박석고개)3311빛의 이중성2024-02-16 09:53:46I2023-12-01 23:08:00.0<NA>192991.06732458974.946836<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1013110000CDFF52110120240000072024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 ***-**서울특별시 은평구 불광로**길 **-*, *층 (불광동)3354한량사2024-02-19 13:54:58I2023-12-01 22:01:00.0<NA>193946.728248457267.16975<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1023110000CDFF52110120240000082024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 ***-** ***호서울특별시 은평구 통일로**길 **, *층 ***호 (불광동)3352선데이픽션(SUNDAYFICTION)2024-02-21 17:47:47I2023-12-01 22:03:00.0<NA>193437.991205457495.306055<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1033110000CDFF52110120240000092024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 증산동 ***-** ***호서울특별시 은평구 증산로*길 **-**, ***호 (증산동)3496골든슬레이트필름(Golden Slate FILM)2024-02-27 15:41:04I2023-12-01 22:09:00.0<NA>191880.722138453834.100971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1043110000CDFF52110120240000102024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 ***-** 동우아이파크 ***호서울특별시 은평구 갈현로**길 *-*, ***호 (갈현동, 동우아이파크)3324준스튜디오2024-02-28 15:26:04I2023-12-03 00:02:00.0<NA>192332.314498457303.72291<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1053110000CDFF52110120240000112021-08-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***-** 위산렉스빌 ***호서울특별시 은평구 응암로**가길 **-*, 위산렉스빌 *층 ***호 (응암동)3456레프로덕션2024-03-26 15:31:43I2023-12-02 22:08:00.0<NA>192636.32823454709.147768<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1063110000CDFF52110120240000122009-01-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 증산동 ***-* 사랑의피아노서울특별시 은평구 증산로*길 *-**, 사랑의피아노 (증산동)3499㈜보경사2024-04-03 09:28:39I2023-12-04 00:05:00.0<NA>191776.004666453453.822412<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>