Overview

Dataset statistics

Number of variables56
Number of observations55
Missing cells1595
Missing cells (%)51.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.5 KiB
Average record size in memory493.4 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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17751/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (54.8%)Imbalance
영업상태명 is highly imbalanced (54.8%)Imbalance
상세영업상태코드 is highly imbalanced (54.8%)Imbalance
상세영업상태명 is highly imbalanced (54.8%)Imbalance
총층수 is highly imbalanced (62.4%)Imbalance
시설면적 is highly imbalanced (62.4%)Imbalance
지상층수 is highly imbalanced (62.4%)Imbalance
지하층수 is highly imbalanced (62.4%)Imbalance
통로너비 is highly imbalanced (62.4%)Imbalance
조명시설조도 is highly imbalanced (62.4%)Imbalance
노래방실수 is highly imbalanced (62.4%)Imbalance
청소년실수 is highly imbalanced (62.4%)Imbalance
총게임기수 is highly imbalanced (62.4%)Imbalance
인허가취소일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 47 (85.5%) missing valuesMissing
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
전화번호 has 43 (78.2%) missing valuesMissing
소재지면적 has 55 (100.0%) missing valuesMissing
소재지우편번호 has 49 (89.1%) missing valuesMissing
도로명주소 has 6 (10.9%) missing valuesMissing
도로명우편번호 has 6 (10.9%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
문화사업자구분명 has 55 (100.0%) missing valuesMissing
주변환경명 has 55 (100.0%) missing valuesMissing
제작취급품목내용 has 55 (100.0%) missing valuesMissing
건물용도명 has 55 (100.0%) missing valuesMissing
비상계단여부 has 55 (100.0%) missing valuesMissing
비상구여부 has 55 (100.0%) missing valuesMissing
자동환기여부 has 55 (100.0%) missing valuesMissing
청소년실여부 has 55 (100.0%) missing valuesMissing
특수조명여부 has 55 (100.0%) missing valuesMissing
방음시설여부 has 55 (100.0%) missing valuesMissing
비디오재생기명 has 55 (100.0%) missing valuesMissing
조명시설유무 has 55 (100.0%) missing valuesMissing
음향시설여부 has 55 (100.0%) missing valuesMissing
편의시설여부 has 55 (100.0%) missing valuesMissing
소방시설여부 has 55 (100.0%) missing valuesMissing
기존게임업외업종명 has 55 (100.0%) missing valuesMissing
제공게임물명 has 55 (100.0%) missing valuesMissing
공연장형태구분명 has 55 (100.0%) missing valuesMissing
품목명 has 55 (100.0%) missing valuesMissing
최초등록시점 has 14 (25.5%) missing valuesMissing
지역구분명 has 55 (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 started2024-05-10 23:49:31.003915
Analysis finished2024-05-10 23:49:32.356739
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
3240000
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 55
100.0%

Length

2024-05-10T23:49:32.552168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:32.925118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-10T23:49:33.635550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1100
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

Unique55 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011999000001
2nd rowCDFF5211012004000001
3rd rowCDFF5211012004000002
4th rowCDFF5211012007000001
5th rowCDFF5211012009000002
ValueCountFrequency (%)
cdff5211011999000001 1
 
1.8%
cdff5211012018000004 1
 
1.8%
cdff5211012019000002 1
 
1.8%
cdff5211012019000003 1
 
1.8%
cdff5211012019000004 1
 
1.8%
cdff5211012020000001 1
 
1.8%
cdff5211012020000002 1
 
1.8%
cdff5211012020000003 1
 
1.8%
cdff5211012020000004 1
 
1.8%
cdff5211012021000001 1
 
1.8%
Other values (45) 45
81.8%
2024-05-10T23:49:34.793260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 393
35.7%
1 218
19.8%
2 150
 
13.6%
F 110
 
10.0%
5 60
 
5.5%
C 55
 
5.0%
D 55
 
5.0%
4 18
 
1.6%
3 12
 
1.1%
6 11
 
1.0%
Other values (3) 18
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
80.0%
Uppercase Letter 220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 393
44.7%
1 218
24.8%
2 150
 
17.0%
5 60
 
6.8%
4 18
 
2.0%
3 12
 
1.4%
6 11
 
1.2%
9 9
 
1.0%
8 5
 
0.6%
7 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 110
50.0%
C 55
25.0%
D 55
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 880
80.0%
Latin 220
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 393
44.7%
1 218
24.8%
2 150
 
17.0%
5 60
 
6.8%
4 18
 
2.0%
3 12
 
1.4%
6 11
 
1.2%
9 9
 
1.0%
8 5
 
0.6%
7 4
 
0.5%
Latin
ValueCountFrequency (%)
F 110
50.0%
C 55
25.0%
D 55
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 393
35.7%
1 218
19.8%
2 150
 
13.6%
F 110
 
10.0%
5 60
 
5.5%
C 55
 
5.0%
D 55
 
5.0%
4 18
 
1.6%
3 12
 
1.1%
6 11
 
1.0%
Other values (3) 18
 
1.6%

인허가일자
Date

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum1999-11-11 00:00:00
Maximum2024-03-14 00:00:00
2024-05-10T23:49:35.223506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:49:35.698143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
47 
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 row1
5th row1

Common Values

ValueCountFrequency (%)
1 47
85.5%
3 6
 
10.9%
5 2
 
3.6%

Length

2024-05-10T23:49:36.206857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:36.553083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 47
85.5%
3 6
 
10.9%
5 2
 
3.6%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업/정상
47 
폐업
6 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.7818182
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 47
85.5%
폐업 6
 
10.9%
제외/삭제/전출 2
 
3.6%

Length

2024-05-10T23:49:36.955607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:37.286830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 47
85.5%
폐업 6
 
10.9%
제외/삭제/전출 2
 
3.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
13
47 
3
6 
15
 
2

Length

Max length2
Median length2
Mean length1.8909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 47
85.5%
3 6
 
10.9%
15 2
 
3.6%

Length

2024-05-10T23:49:37.709966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:38.016872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 47
85.5%
3 6
 
10.9%
15 2
 
3.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업중
47 
폐업
6 
전출
 
2

Length

Max length3
Median length3
Mean length2.8545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 47
85.5%
폐업 6
 
10.9%
전출 2
 
3.6%

Length

2024-05-10T23:49:38.328218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:38.690353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 47
85.5%
폐업 6
 
10.9%
전출 2
 
3.6%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing47
Missing (%)85.5%
Memory size572.0 B
Minimum2014-12-29 00:00:00
Maximum2023-11-14 00:00:00
2024-05-10T23:49:38.963100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:49:39.359996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing43
Missing (%)78.2%
Memory size572.0 B
2024-05-10T23:49:39.747310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.75
Min length8

Characters and Unicode

Total characters117
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

Unique12 ?
Unique (%)100.0%

Sample

1st row470-6220
2nd row484-1666
3rd row481-7970
4th row477-7675
5th row02-544-7333
ValueCountFrequency (%)
470-6220 1
8.3%
484-1666 1
8.3%
481-7970 1
8.3%
477-7675 1
8.3%
02-544-7333 1
8.3%
425-5942 1
8.3%
3454-0102 1
8.3%
070-7573-6783 1
8.3%
02-428-8080 1
8.3%
02-453-0400 1
8.3%
Other values (2) 2
16.7%
2024-05-10T23:49:40.630999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18
15.4%
- 18
15.4%
4 15
12.8%
7 13
11.1%
2 13
11.1%
8 9
7.7%
5 9
7.7%
3 9
7.7%
6 6
 
5.1%
1 5
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
84.6%
Dash Punctuation 18
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
18.2%
4 15
15.2%
7 13
13.1%
2 13
13.1%
8 9
9.1%
5 9
9.1%
3 9
9.1%
6 6
 
6.1%
1 5
 
5.1%
9 2
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18
15.4%
- 18
15.4%
4 15
12.8%
7 13
11.1%
2 13
11.1%
8 9
7.7%
5 9
7.7%
3 9
7.7%
6 6
 
5.1%
1 5
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18
15.4%
- 18
15.4%
4 15
12.8%
7 13
11.1%
2 13
11.1%
8 9
7.7%
5 9
7.7%
3 9
7.7%
6 6
 
5.1%
1 5
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing49
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean134812.83
Minimum134741
Maximum134868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-10T23:49:41.188508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134741
5-th percentile134746
Q1134773
median134827.5
Q3134850.5
95-th percentile134864
Maximum134868
Range127
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation52.036205
Coefficient of variation (CV)0.00038598852
Kurtosis-1.7943476
Mean134812.83
Median Absolute Deviation (MAD)32.5
Skewness-0.52274572
Sum808877
Variance2707.7667
MonotonicityNot monotonic
2024-05-10T23:49:41.553361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
134846 1
 
1.8%
134761 1
 
1.8%
134868 1
 
1.8%
134852 1
 
1.8%
134809 1
 
1.8%
134741 1
 
1.8%
(Missing) 49
89.1%
ValueCountFrequency (%)
134741 1
1.8%
134761 1
1.8%
134809 1
1.8%
134846 1
1.8%
134852 1
1.8%
134868 1
1.8%
ValueCountFrequency (%)
134868 1
1.8%
134852 1
1.8%
134846 1
1.8%
134809 1
1.8%
134761 1
1.8%
134741 1
1.8%

지번주소
Text

Distinct48
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-10T23:49:42.054461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length25.636364
Min length18

Characters and Unicode

Total characters1410
Distinct characters84
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)76.4%

Sample

1st row서울특별시 강동구 성내동 ***-**번지 *층
2nd row서울특별시 강동구 길동 ***번지 우성아파트 ***동 ***호
3rd row서울특별시 강동구 천호동 ***-**번지
4th row서울특별시 강동구 암사동 ***-**번지
5th row서울특별시 강동구 길동 ***-*번지 *층
ValueCountFrequency (%)
서울특별시 55
19.9%
강동구 55
19.9%
번지 31
11.2%
24
8.7%
호 15
 
5.4%
천호동 14
 
5.1%
성내동 12
 
4.3%
암사동 7
 
2.5%
명일동 7
 
2.5%
길동 6
 
2.2%
Other values (35) 50
18.1%
2024-05-10T23:49:43.246105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 284
20.1%
248
17.6%
동 122
 
8.7%
강 67
 
4.8%
시 57
 
4.0%
서 55
 
3.9%
특 55
 
3.9%
별 55
 
3.9%
구 55
 
3.9%
울 55
 
3.9%
Other values (74) 357
25.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 837
59.4%
Other Punctuation 284
 
20.1%
Space Separator 248
 
17.6%
Dash Punctuation 40
 
2.8%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 122
14.6%
강 67
 
8.0%
시 57
 
6.8%
서 55
 
6.6%
특 55
 
6.6%
별 55
 
6.6%
구 55
 
6.6%
울 55
 
6.6%
지 33
 
3.9%
번 31
 
3.7%
Other values (70) 252
30.1%
Other Punctuation
ValueCountFrequency (%)
* 284
100.0%
Space Separator
ValueCountFrequency (%)
248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 837
59.4%
Common 572
40.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 122
14.6%
강 67
 
8.0%
시 57
 
6.8%
서 55
 
6.6%
특 55
 
6.6%
별 55
 
6.6%
구 55
 
6.6%
울 55
 
6.6%
지 33
 
3.9%
번 31
 
3.7%
Other values (70) 252
30.1%
Common
ValueCountFrequency (%)
* 284
49.7%
248
43.4%
- 40
 
7.0%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 837
59.4%
ASCII 573
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 284
49.6%
248
43.3%
- 40
 
7.0%
e 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 122
14.6%
강 67
 
8.0%
시 57
 
6.8%
서 55
 
6.6%
특 55
 
6.6%
별 55
 
6.6%
구 55
 
6.6%
울 55
 
6.6%
지 33
 
3.9%
번 31
 
3.7%
Other values (70) 252
30.1%

도로명주소
Text

MISSING 

Distinct48
Distinct (%)98.0%
Missing6
Missing (%)10.9%
Memory size572.0 B
2024-05-10T23:49:43.989269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length36.77551
Min length23

Characters and Unicode

Total characters1802
Distinct characters108
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 (%)95.9%

Sample

1st row서울특별시 강동구 고덕로 **, *층 (암사동)
2nd row서울특별시 강동구 올림픽로**길 **-*, 스터디하우스 e-룸 ***호 (성내동)
3rd row서울특별시 강동구 상일로 *** (강일동, 고덕리엔파크*단지)
4th row서울특별시 강동구 천호대로***길 **, ***호 (성내동)
5th row서울특별시 강동구 고덕로 **, ****호 (암사동, 대원아파트)
ValueCountFrequency (%)
서울특별시 49
14.3%
49
14.3%
강동구 49
14.3%
호 35
 
10.2%
층 13
 
3.8%
천호동 12
 
3.5%
성내동 11
 
3.2%
동 10
 
2.9%
명일동 7
 
2.0%
암사동 6
 
1.7%
Other values (69) 102
29.7%
2024-05-10T23:49:45.332577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 344
19.1%
294
16.3%
동 121
 
6.7%
, 67
 
3.7%
강 61
 
3.4%
구 52
 
2.9%
호 51
 
2.8%
시 50
 
2.8%
특 49
 
2.7%
) 49
 
2.7%
Other values (98) 664
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 985
54.7%
Other Punctuation 411
22.8%
Space Separator 294
 
16.3%
Close Punctuation 49
 
2.7%
Open Punctuation 49
 
2.7%
Dash Punctuation 13
 
0.7%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 121
 
12.3%
강 61
 
6.2%
구 52
 
5.3%
호 51
 
5.2%
시 50
 
5.1%
특 49
 
5.0%
별 49
 
5.0%
서 49
 
5.0%
울 49
 
5.0%
로 48
 
4.9%
Other values (91) 406
41.2%
Other Punctuation
ValueCountFrequency (%)
* 344
83.7%
, 67
 
16.3%
Space Separator
ValueCountFrequency (%)
294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 985
54.7%
Common 816
45.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 121
 
12.3%
강 61
 
6.2%
구 52
 
5.3%
호 51
 
5.2%
시 50
 
5.1%
특 49
 
5.0%
별 49
 
5.0%
서 49
 
5.0%
울 49
 
5.0%
로 48
 
4.9%
Other values (91) 406
41.2%
Common
ValueCountFrequency (%)
* 344
42.2%
294
36.0%
, 67
 
8.2%
) 49
 
6.0%
( 49
 
6.0%
- 13
 
1.6%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 985
54.7%
ASCII 817
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 344
42.1%
294
36.0%
, 67
 
8.2%
) 49
 
6.0%
( 49
 
6.0%
- 13
 
1.6%
e 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 121
 
12.3%
강 61
 
6.2%
구 52
 
5.3%
호 51
 
5.2%
시 50
 
5.1%
특 49
 
5.0%
별 49
 
5.0%
서 49
 
5.0%
울 49
 
5.0%
로 48
 
4.9%
Other values (91) 406
41.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)85.7%
Missing6
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean23803.837
Minimum5216
Maximum134857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-10T23:49:45.917815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5216
5-th percentile5236.4
Q15268
median5328
Q35400
95-th percentile134836.6
Maximum134857
Range129641
Interquartile range (IQR)132

Descriptive statistics

Standard deviation45746.966
Coefficient of variation (CV)1.9218316
Kurtosis2.5385197
Mean23803.837
Median Absolute Deviation (MAD)68
Skewness2.1062911
Sum1166388
Variance2.0927849 × 109
MonotonicityNot monotonic
2024-05-10T23:49:46.500809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5268 2
 
3.6%
5396 2
 
3.6%
5415 2
 
3.6%
5400 2
 
3.6%
5327 2
 
3.6%
5318 2
 
3.6%
5303 2
 
3.6%
134813 1
 
1.8%
5338 1
 
1.8%
5232 1
 
1.8%
Other values (32) 32
58.2%
(Missing) 6
 
10.9%
ValueCountFrequency (%)
5216 1
1.8%
5226 1
1.8%
5232 1
1.8%
5243 1
1.8%
5244 1
1.8%
5245 1
1.8%
5248 1
1.8%
5251 1
1.8%
5252 1
1.8%
5255 1
1.8%
ValueCountFrequency (%)
134857 1
1.8%
134843 1
1.8%
134841 1
1.8%
134830 1
1.8%
134813 1
1.8%
134741 1
1.8%
134051 1
1.8%
5415 2
3.6%
5414 1
1.8%
5402 1
1.8%

사업장명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-10T23:49:47.177070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length9.0545455
Min length2

Characters and Unicode

Total characters498
Distinct characters163
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row개판
2nd row영화사정글짐(주)
3rd row선돌영화사
4th row시네이스트
5th row씨네페이스
ValueCountFrequency (%)
주식회사 7
 
9.2%
제너두 1
 
1.3%
플레이엘 1
 
1.3%
die 1
 
1.3%
we 1
 
1.3%
비포위다이(before 1
 
1.3%
버드컴퍼니 1
 
1.3%
슈퍼두퍼 1
 
1.3%
스튜디오 1
 
1.3%
주)매직아워픽처스 1
 
1.3%
Other values (60) 60
78.9%
2024-05-10T23:49:48.523902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 25
 
5.0%
이 24
 
4.8%
) 23
 
4.6%
( 23
 
4.6%
21
 
4.2%
스 21
 
4.2%
사 13
 
2.6%
회 8
 
1.6%
트 8
 
1.6%
름 8
 
1.6%
Other values (153) 324
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 360
72.3%
Uppercase Letter 50
 
10.0%
Close Punctuation 23
 
4.6%
Open Punctuation 23
 
4.6%
Space Separator 21
 
4.2%
Lowercase Letter 15
 
3.0%
Other Symbol 3
 
0.6%
Other Punctuation 2
 
0.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
6.9%
이 24
 
6.7%
스 21
 
5.8%
사 13
 
3.6%
회 8
 
2.2%
트 8
 
2.2%
름 8
 
2.2%
필 8
 
2.2%
식 8
 
2.2%
인 7
 
1.9%
Other values (117) 230
63.9%
Uppercase Letter
ValueCountFrequency (%)
E 7
 
14.0%
M 4
 
8.0%
O 4
 
8.0%
C 4
 
8.0%
Y 3
 
6.0%
A 2
 
4.0%
R 2
 
4.0%
L 2
 
4.0%
F 2
 
4.0%
Z 2
 
4.0%
Other values (11) 18
36.0%
Lowercase Letter
ValueCountFrequency (%)
a 3
20.0%
e 3
20.0%
l 2
13.3%
o 2
13.3%
n 1
 
6.7%
h 1
 
6.7%
c 1
 
6.7%
w 1
 
6.7%
m 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
72.9%
Common 70
 
14.1%
Latin 65
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
6.9%
이 24
 
6.6%
스 21
 
5.8%
사 13
 
3.6%
회 8
 
2.2%
트 8
 
2.2%
름 8
 
2.2%
필 8
 
2.2%
식 8
 
2.2%
인 7
 
1.9%
Other values (118) 233
64.2%
Latin
ValueCountFrequency (%)
E 7
 
10.8%
M 4
 
6.2%
O 4
 
6.2%
C 4
 
6.2%
a 3
 
4.6%
e 3
 
4.6%
Y 3
 
4.6%
A 2
 
3.1%
R 2
 
3.1%
L 2
 
3.1%
Other values (20) 31
47.7%
Common
ValueCountFrequency (%)
) 23
32.9%
( 23
32.9%
21
30.0%
. 2
 
2.9%
2 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 360
72.3%
ASCII 135
 
27.1%
None 3
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 25
 
6.9%
이 24
 
6.7%
스 21
 
5.8%
사 13
 
3.6%
회 8
 
2.2%
트 8
 
2.2%
름 8
 
2.2%
필 8
 
2.2%
식 8
 
2.2%
인 7
 
1.9%
Other values (117) 230
63.9%
ASCII
ValueCountFrequency (%)
) 23
17.0%
( 23
17.0%
21
15.6%
E 7
 
5.2%
M 4
 
3.0%
O 4
 
3.0%
C 4
 
3.0%
a 3
 
2.2%
e 3
 
2.2%
Y 3
 
2.2%
Other values (25) 40
29.6%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2010-04-30 14:22:34
Maximum2024-03-14 17:21:00
2024-05-10T23:49:49.227836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:49:49.799429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
I
41 
U
14 

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 41
74.5%
U 14
 
25.5%

Length

2024-05-10T23:49:50.310262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:50.741085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 41
74.5%
u 14
 
25.5%

데이터갱신일자
Date

Distinct34
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:01:00
2024-05-10T23:49:51.177100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:49:51.668215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212199.85
Minimum210784.26
Maximum215875.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-10T23:49:52.160531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210784.26
5-th percentile210855.72
Q1211094.4
median211863.09
Q3212731.42
95-th percentile215303.41
Maximum215875.02
Range5090.7631
Interquartile range (IQR)1637.0247

Descriptive statistics

Standard deviation1332.5596
Coefficient of variation (CV)0.0062797383
Kurtosis0.91572977
Mean212199.85
Median Absolute Deviation (MAD)808.16719
Skewness1.2224001
Sum11670992
Variance1775715
MonotonicityNot monotonic
2024-05-10T23:49:52.791164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212655.05159549 2
 
3.6%
211297.070604813 2
 
3.6%
211055.486155787 2
 
3.6%
210970.75707265 2
 
3.6%
211066.384353658 1
 
1.8%
211732.471339645 1
 
1.8%
212394.393188708 1
 
1.8%
211197.918024115 1
 
1.8%
211122.415615954 1
 
1.8%
213092.929228694 1
 
1.8%
Other values (41) 41
74.5%
ValueCountFrequency (%)
210784.261883914 1
1.8%
210845.844797087 1
1.8%
210847.257903584 1
1.8%
210859.350275439 1
1.8%
210910.700379216 1
1.8%
210927.575645199 1
1.8%
210929.131868993 1
1.8%
210930.358539664 1
1.8%
210970.75707265 2
3.6%
211045.990016817 1
1.8%
ValueCountFrequency (%)
215875.024969 1
1.8%
215496.149626989 1
1.8%
215361.022179888 1
1.8%
215278.711932608 1
1.8%
215097.6410784 1
1.8%
213749.851091244 1
1.8%
213671.045593053 1
1.8%
213646.900696177 1
1.8%
213371.152528482 1
1.8%
213354.806799715 1
1.8%

좌표정보(Y)
Real number (ℝ)

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449154.62
Minimum446930.38
Maximum452372.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-10T23:49:53.117810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446930.38
5-th percentile447193.17
Q1448204.24
median449019.96
Q3450083.14
95-th percentile451574.89
Maximum452372.16
Range5441.7815
Interquartile range (IQR)1878.9035

Descriptive statistics

Standard deviation1366.4905
Coefficient of variation (CV)0.0030423609
Kurtosis-0.31168573
Mean449154.62
Median Absolute Deviation (MAD)1004.8728
Skewness0.37790464
Sum24703504
Variance1867296.2
MonotonicityNot monotonic
2024-05-10T23:49:53.502891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448764.660042344 2
 
3.6%
447290.600685056 2
 
3.6%
448786.697371515 2
 
3.6%
448713.31669728 2
 
3.6%
447620.18848462 1
 
1.8%
449547.236731216 1
 
1.8%
448506.577876272 1
 
1.8%
449517.424659313 1
 
1.8%
447225.11879588 1
 
1.8%
449247.820118069 1
 
1.8%
Other values (41) 41
74.5%
ValueCountFrequency (%)
446930.379410235 1
1.8%
446966.454190768 1
1.8%
447182.493711744 1
1.8%
447197.75127072 1
1.8%
447205.139674886 1
1.8%
447225.11879588 1
1.8%
447290.600685056 2
3.6%
447620.18848462 1
1.8%
447858.305647239 1
1.8%
447872.025836656 1
1.8%
ValueCountFrequency (%)
452372.160878349 1
1.8%
452152.024544351 1
1.8%
452052.025388385 1
1.8%
451370.39819 1
1.8%
451002.812265182 1
1.8%
450966.856024693 1
1.8%
450920.750081771 1
1.8%
450750.547533484 1
1.8%
450731.92970842 1
1.8%
450264.276387605 1
1.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
영화제작업
41 
<NA>
14 

Length

Max length5
Median length5
Mean length4.7454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 41
74.5%
<NA> 14
 
25.5%

Length

2024-05-10T23:49:53.809556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:54.088560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 41
74.5%
na 14
 
25.5%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-10T23:49:54.577891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:54.844719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-10T23:49:55.139835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:55.474848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-10T23:49:55.843370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:56.169766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-10T23:49:56.430569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:56.712119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-10T23:49:57.154983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:57.489560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-10T23:49:57.847494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:58.196141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-10T23:49:58.566202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:58.901414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-10T23:49:59.295678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:49:59.634887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-10T23:49:59.999778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:50:00.352892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)100.0%
Missing14
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean20144007
Minimum19991111
Maximum20210827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-10T23:50:00.699685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991111
5-th percentile20040508
Q120110524
median20151217
Q320180816
95-th percentile20210128
Maximum20210827
Range219716
Interquartile range (IQR)70292

Descriptive statistics

Standard deviation51600.95
Coefficient of variation (CV)0.0025616031
Kurtosis0.68242587
Mean20144007
Median Absolute Deviation (MAD)39513
Skewness-0.87195058
Sum8.2590427 × 108
Variance2.662658 × 109
MonotonicityNot monotonic
2024-05-10T23:50:01.156723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20151217 1
 
1.8%
20170411 1
 
1.8%
20180115 1
 
1.8%
20180417 1
 
1.8%
20180427 1
 
1.8%
20180816 1
 
1.8%
20190611 1
 
1.8%
20190730 1
 
1.8%
20190813 1
 
1.8%
20200206 1
 
1.8%
Other values (31) 31
56.4%
(Missing) 14
25.5%
ValueCountFrequency (%)
19991111 1
1.8%
20040416 1
1.8%
20040508 1
1.8%
20070426 1
1.8%
20091223 1
1.8%
20100322 1
1.8%
20100422 1
1.8%
20100729 1
1.8%
20110502 1
1.8%
20110504 1
1.8%
ValueCountFrequency (%)
20210827 1
1.8%
20210601 1
1.8%
20210128 1
1.8%
20210127 1
1.8%
20200617 1
1.8%
20200206 1
1.8%
20191128 1
1.8%
20190813 1
1.8%
20190730 1
1.8%
20190611 1
1.8%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFF521101199900000119991111<NA>1영업/정상13영업중<NA><NA><NA><NA>470-6220<NA>134846서울특별시 강동구 성내동 ***-**번지 *층<NA><NA>개판2010-04-30 14:22:34I2018-08-31 23:59:59.0<NA>211667.393117446966.454191영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19991111<NA>
13240000CDFF521101200400000120040416<NA>1영업/정상13영업중<NA><NA><NA><NA>484-1666<NA>134761서울특별시 강동구 길동 ***번지 우성아파트 ***동 ***호<NA><NA>영화사정글짐(주)2010-04-30 14:27:23I2018-08-31 23:59:59.0<NA>212671.257563449019.957538영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040416<NA>
23240000CDFF521101200400000220040508<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134868서울특별시 강동구 천호동 ***-**번지<NA><NA>선돌영화사2010-04-30 14:31:38I2018-08-31 23:59:59.0<NA>210784.261884449318.902737영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040508<NA>
33240000CDFF521101200700000120070426<NA>1영업/정상13영업중<NA><NA><NA><NA>481-7970<NA>134852서울특별시 강동구 암사동 ***-**번지<NA><NA>시네이스트2010-04-30 14:34:12I2018-08-31 23:59:59.0<NA>211863.09037450731.929708영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070426<NA>
43240000CDFF521101200900000220091223<NA>1영업/정상13영업중<NA><NA><NA><NA>477-7675<NA>134809서울특별시 강동구 길동 ***-*번지 *층<NA><NA>씨네페이스2010-04-30 14:43:31I2018-08-31 23:59:59.0<NA>212720.036326448128.532538영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20091223<NA>
53240000CDFF521101201000000220100422<NA>1영업/정상13영업중<NA><NA><NA><NA>02-544-7333<NA><NA>서울특별시 강동구 암사동 ***-** *층서울특별시 강동구 고덕로 **, *층 (암사동)5252(주)외유내강2021-12-01 15:44:40U2021-12-03 02:40:00.0<NA>211551.548103450261.472853영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100422<NA>
63240000CDFF521101201100000420100729<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 **-**번지 스터디하우스 e-룸서울특별시 강동구 올림픽로**길 **-*, 스터디하우스 e-룸 ***호 (성내동)5378마이더스필름2019-04-19 15:07:02U2019-04-21 02:40:00.0<NA>210910.700379448279.948593영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100729<NA>
73240000CDFF521101201100000520110502<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-*번지 대우한강베네시티 ***동 ***호<NA><NA>(주)디에이치미디어웍스2011-09-21 13:54:14I2018-08-31 23:59:59.0<NA>210970.757073448713.316697영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110502<NA>
83240000CDFF521101201200000120120217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134741서울특별시 강동구 강일동 ***번지 ***동 ****호서울특별시 강동구 상일로 *** (강일동, 고덕리엔파크*단지)134741정지우필름2013-02-14 10:16:21I2018-08-31 23:59:59.0<NA>215097.641078451002.812265영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120217<NA>
93240000CDFF521101201200000220120406<NA>1영업/정상13영업중<NA><NA><NA><NA>425-5942<NA><NA>서울특별시 강동구 성내동 ***-**번지 ***호서울특별시 강동구 천호대로***길 **, ***호 (성내동)134843마젠타필름2012-04-06 14:08:36I2018-08-31 23:59:59.0<NA>211949.915706447946.043782영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120406<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
453240000CDFF521101202200000220191128<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-* 강동역두산위브센티움 ***호서울특별시 강동구 성안로 ***, ***호 (천호동, 강동역두산위브센티움)5338목영이엔엠(MOCKYOUNG EnM)2022-02-21 11:42:23I2022-02-23 00:22:37.0<NA>211840.954233448338.685166영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20191128<NA>
463240000CDFF521101202300000120230130<NA>1영업/정상13영업중<NA><NA><NA><NA>02-481-8813<NA><NA>서울특별시 강동구 성내동 *** ***호서울특별시 강동구 성내로**길 **, ***호 (성내동)5396(주)포지드필름스2023-01-30 11:12:59I2022-12-02 00:01:00.0<NA>211297.070605447290.600685<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473240000CDFF52110120230000022022-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 ***-* ***호서울특별시 강동구 동남로**길 **-**, ***호 (둔촌동)5366㈜스튜디오 퍼플아이2023-04-03 10:43:04I2022-12-04 00:05:00.0<NA>212965.180857447872.025837<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483240000CDFF52110120230000032023-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-**서울특별시 강동구 천중로*길 **, *층 ***호 (천호동)5244지니필름2023-08-18 11:26:41I2022-12-07 22:00:00.0<NA>210930.35854449391.151706<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493240000CDFF52110120240000022024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 ***-* 명문아이빌서울특별시 강동구 진황도로 ***-**, ***동 ***호 (둔촌동, 명문아이빌)5369예인엔터테인먼트2024-02-15 15:41:57I2023-12-01 23:07:00.0<NA>212742.813023447182.493712<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503240000CDFF52110120240000032024-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 ** 힐스테이트 리슈빌 강일서울특별시 강동구 아리수로**다길 **, ***동 ***호 (강일동, 힐스테이트 리슈빌 강일)5414프리즘컴퍼니(FREEZM COMPANY)2024-02-20 15:55:37I2023-12-01 22:02:00.0<NA>215361.02218452372.160878<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513240000CDFF52110120240000042023-07-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-* 올림픽파크 포레서울특별시 강동구 성내로**길 **-**, ***호 (성내동, 올림픽파크 포레)5400주식회사 영화사안다미로2024-02-23 15:46:17I2023-12-01 22:05:00.0<NA>210929.131869447197.751271<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523240000CDFF52110120240000052024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 ***-** 암사예가서울특별시 강동구 고덕로**나길 *, ***호 (암사동, 암사예가)5255가젤픽쳐스2024-02-26 17:37:30I2023-12-01 22:08:00.0<NA>211931.588296450067.096394<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533240000CDFF52110120240000062024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-*서울특별시 강동구 올림픽로**길 **, ***호 (천호동)5245보라22024-02-28 11:16:54I2023-12-03 00:01:00.0<NA>210847.257904449138.772224<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543240000CDFF52110120240000072024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-* 대우 한강 베네시티서울특별시 강동구 올림픽로 ***, ***동 ****호 (천호동, 대우 한강 베네시티)5328주식회사 식스나잇2024-03-14 17:21:00I2023-12-02 23:06:00.0<NA>210970.757073448713.316697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>