Overview

Dataset statistics

Number of variables56
Number of observations69
Missing cells2005
Missing cells (%)51.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.2 KiB
Average record size in memory492.9 B

Variable types

Categorical17
Text5
DateTime3
Unsupported26
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-17741/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (60.4%)Imbalance
영업상태명 is highly imbalanced (60.4%)Imbalance
상세영업상태코드 is highly imbalanced (60.4%)Imbalance
상세영업상태명 is highly imbalanced (60.4%)Imbalance
총층수 is highly imbalanced (81.1%)Imbalance
시설면적 is highly imbalanced (81.1%)Imbalance
지상층수 is highly imbalanced (81.1%)Imbalance
지하층수 is highly imbalanced (81.1%)Imbalance
통로너비 is highly imbalanced (81.1%)Imbalance
조명시설조도 is highly imbalanced (81.1%)Imbalance
노래방실수 is highly imbalanced (81.1%)Imbalance
청소년실수 is highly imbalanced (81.1%)Imbalance
총게임기수 is highly imbalanced (81.1%)Imbalance
인허가취소일자 has 69 (100.0%) missing valuesMissing
폐업일자 has 61 (88.4%) missing valuesMissing
휴업시작일자 has 69 (100.0%) missing valuesMissing
휴업종료일자 has 69 (100.0%) missing valuesMissing
재개업일자 has 69 (100.0%) missing valuesMissing
전화번호 has 51 (73.9%) missing valuesMissing
소재지면적 has 69 (100.0%) missing valuesMissing
소재지우편번호 has 41 (59.4%) missing valuesMissing
도로명우편번호 has 34 (49.3%) missing valuesMissing
업태구분명 has 69 (100.0%) missing valuesMissing
좌표정보(X) has 3 (4.3%) missing valuesMissing
좌표정보(Y) has 3 (4.3%) missing valuesMissing
문화사업자구분명 has 69 (100.0%) missing valuesMissing
주변환경명 has 69 (100.0%) missing valuesMissing
제작취급품목내용 has 69 (100.0%) missing valuesMissing
건물용도명 has 69 (100.0%) missing valuesMissing
비상계단여부 has 69 (100.0%) missing valuesMissing
비상구여부 has 69 (100.0%) missing valuesMissing
자동환기여부 has 69 (100.0%) missing valuesMissing
청소년실여부 has 69 (100.0%) missing valuesMissing
특수조명여부 has 69 (100.0%) missing valuesMissing
방음시설여부 has 69 (100.0%) missing valuesMissing
비디오재생기명 has 69 (100.0%) missing valuesMissing
조명시설유무 has 69 (100.0%) missing valuesMissing
음향시설여부 has 69 (100.0%) missing valuesMissing
편의시설여부 has 69 (100.0%) missing valuesMissing
소방시설여부 has 69 (100.0%) missing valuesMissing
기존게임업외업종명 has 69 (100.0%) missing valuesMissing
제공게임물명 has 69 (100.0%) missing valuesMissing
공연장형태구분명 has 69 (100.0%) missing valuesMissing
품목명 has 69 (100.0%) missing valuesMissing
최초등록시점 has 18 (26.1%) missing valuesMissing
지역구분명 has 69 (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 started2024-05-11 01:46:55.054590
Analysis finished2024-05-11 01:46:56.046334
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
3140000
69 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 69
100.0%

Length

2024-05-11T01:46:56.515137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:46:56.958682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 69
100.0%

관리번호
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T01:46:57.505616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1380
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

Unique69 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011995000001
2nd rowCDFF5211011999000001
3rd rowCDFF5211011999000002
4th rowCDFF5211011999000003
5th rowCDFF5211011999000004
ValueCountFrequency (%)
cdff5211011995000001 1
 
1.4%
cdff5211012011000006 1
 
1.4%
cdff5211012020000002 1
 
1.4%
cdff5211012020000001 1
 
1.4%
cdff5211012019000001 1
 
1.4%
cdff5211012018000004 1
 
1.4%
cdff5211012018000001 1
 
1.4%
cdff5211012015000004 1
 
1.4%
cdff5211012015000001 1
 
1.4%
cdff5211012015000003 1
 
1.4%
Other values (59) 59
85.5%
2024-05-11T01:46:58.564632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 511
37.0%
1 263
19.1%
2 180
 
13.0%
F 138
 
10.0%
5 78
 
5.7%
C 69
 
5.0%
D 69
 
5.0%
3 25
 
1.8%
9 19
 
1.4%
4 13
 
0.9%
Other values (3) 15
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1104
80.0%
Uppercase Letter 276
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 511
46.3%
1 263
23.8%
2 180
 
16.3%
5 78
 
7.1%
3 25
 
2.3%
9 19
 
1.7%
4 13
 
1.2%
8 6
 
0.5%
7 5
 
0.5%
6 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1104
80.0%
Latin 276
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 511
46.3%
1 263
23.8%
2 180
 
16.3%
5 78
 
7.1%
3 25
 
2.3%
9 19
 
1.7%
4 13
 
1.2%
8 6
 
0.5%
7 5
 
0.5%
6 4
 
0.4%
Latin
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 511
37.0%
1 263
19.1%
2 180
 
13.0%
F 138
 
10.0%
5 78
 
5.7%
C 69
 
5.0%
D 69
 
5.0%
3 25
 
1.8%
9 19
 
1.4%
4 13
 
0.9%
Other values (3) 15
 
1.1%

인허가일자
Date

Distinct67
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1995-03-10 00:00:00
Maximum2024-02-28 00:00:00
2024-05-11T01:46:59.198432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:46:59.733346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
1
61 
5
 
5
3
 
3

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 61
88.4%
5 5
 
7.2%
3 3
 
4.3%

Length

2024-05-11T01:47:00.179927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:00.512000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 61
88.4%
5 5
 
7.2%
3 3
 
4.3%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
영업/정상
61 
제외/삭제/전출
 
5
폐업
 
3

Length

Max length8
Median length5
Mean length5.0869565
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 61
88.4%
제외/삭제/전출 5
 
7.2%
폐업 3
 
4.3%

Length

2024-05-11T01:47:00.878007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:01.330701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 61
88.4%
제외/삭제/전출 5
 
7.2%
폐업 3
 
4.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
13
61 
15
 
5
3
 
3

Length

Max length2
Median length2
Mean length1.9565217
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 61
88.4%
15 5
 
7.2%
3 3
 
4.3%

Length

2024-05-11T01:47:02.189587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:02.782621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 61
88.4%
15 5
 
7.2%
3 3
 
4.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
영업중
61 
전출
 
5
폐업
 
3

Length

Max length3
Median length3
Mean length2.884058
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 61
88.4%
전출 5
 
7.2%
폐업 3
 
4.3%

Length

2024-05-11T01:47:03.293660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:03.660087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 61
88.4%
전출 5
 
7.2%
폐업 3
 
4.3%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing61
Missing (%)88.4%
Memory size684.0 B
Minimum2012-11-09 00:00:00
Maximum2024-02-05 00:00:00
2024-05-11T01:47:04.201936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:47:04.807338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing51
Missing (%)73.9%
Memory size684.0 B
2024-05-11T01:47:05.469680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length10.666667
Min length8

Characters and Unicode

Total characters192
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

Unique18 ?
Unique (%)100.0%

Sample

1st row786-6587
2nd row2166-2121
3rd row2645-5082
4th row2642-6181~2
5th row2654-5711
ValueCountFrequency (%)
786-6587 1
 
5.6%
2166-2121 1
 
5.6%
02-952-2098 1
 
5.6%
02-780-6907 1
 
5.6%
02-523-4454 1
 
5.6%
07050805785 1
 
5.6%
070-4488-5862 1
 
5.6%
26507000 1
 
5.6%
02-2647-1402 1
 
5.6%
0226422057 1
 
5.6%
Other values (8) 8
44.4%
2024-05-11T01:47:06.556195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32
16.7%
2 31
16.1%
- 24
12.5%
5 19
9.9%
6 18
9.4%
4 16
8.3%
7 15
7.8%
8 15
7.8%
1 10
 
5.2%
9 8
 
4.2%
Other values (2) 4
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 167
87.0%
Dash Punctuation 24
 
12.5%
Math Symbol 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
19.2%
2 31
18.6%
5 19
11.4%
6 18
10.8%
4 16
9.6%
7 15
9.0%
8 15
9.0%
1 10
 
6.0%
9 8
 
4.8%
3 3
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32
16.7%
2 31
16.1%
- 24
12.5%
5 19
9.9%
6 18
9.4%
4 16
8.3%
7 15
7.8%
8 15
7.8%
1 10
 
5.2%
9 8
 
4.2%
Other values (2) 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32
16.7%
2 31
16.1%
- 24
12.5%
5 19
9.9%
6 18
9.4%
4 16
8.3%
7 15
7.8%
8 15
7.8%
1 10
 
5.2%
9 8
 
4.2%
Other values (2) 4
 
2.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)57.1%
Missing41
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean158706.82
Minimum158055
Maximum158862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T01:47:06.960480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158055
5-th percentile158297.7
Q1158718
median158720.5
Q3158769.5
95-th percentile158860.65
Maximum158862
Range807
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation189.21026
Coefficient of variation (CV)0.0011921999
Kurtosis9.0758158
Mean158706.82
Median Absolute Deviation (MAD)11.5
Skewness-3.0184617
Sum4443791
Variance35800.522
MonotonicityNot monotonic
2024-05-11T01:47:07.408840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
158718 8
 
11.6%
158715 4
 
5.8%
158860 2
 
2.9%
158735 2
 
2.9%
158073 1
 
1.4%
158731 1
 
1.4%
158831 1
 
1.4%
158862 1
 
1.4%
158055 1
 
1.4%
158815 1
 
1.4%
Other values (6) 6
 
8.7%
(Missing) 41
59.4%
ValueCountFrequency (%)
158055 1
 
1.4%
158073 1
 
1.4%
158715 4
5.8%
158718 8
11.6%
158723 1
 
1.4%
158731 1
 
1.4%
158733 1
 
1.4%
158735 2
 
2.9%
158753 1
 
1.4%
158759 1
 
1.4%
ValueCountFrequency (%)
158862 1
1.4%
158861 1
1.4%
158860 2
2.9%
158831 1
1.4%
158815 1
1.4%
158801 1
1.4%
158759 1
1.4%
158753 1
1.4%
158735 2
2.9%
158733 1
1.4%

지번주소
Text

Distinct53
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T01:47:07.950349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length29.956522
Min length18

Characters and Unicode

Total characters2067
Distinct characters109
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)65.2%

Sample

1st row서울특별시 양천구 목동 ***-*번지
2nd row서울특별시 양천구 목동 ***번지 한신청구아파트 ***동 ****호
3rd row서울특별시 양천구 목동 ***-*번지 한국방송회관 **층
4th row서울특별시 양천구 목동 ***-*번지 한국방송회관 *층
5th row서울특별시 양천구 목동 ***-*번지 한국방송회관 *층
ValueCountFrequency (%)
서울특별시 69
17.7%
양천구 69
17.7%
목동 50
12.8%
번지 43
11.0%
호 37
9.5%
27
 
6.9%
신정동 15
 
3.8%
층 14
 
3.6%
현대드림타워 8
 
2.1%
한국방송회관 7
 
1.8%
Other values (40) 51
13.1%
2024-05-11T01:47:09.335153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 469
22.7%
346
16.7%
동 83
 
4.0%
천 71
 
3.4%
양 71
 
3.4%
서 70
 
3.4%
울 70
 
3.4%
구 70
 
3.4%
시 70
 
3.4%
별 69
 
3.3%
Other values (99) 678
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1189
57.5%
Other Punctuation 471
 
22.8%
Space Separator 346
 
16.7%
Dash Punctuation 55
 
2.7%
Uppercase Letter 5
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 83
 
7.0%
천 71
 
6.0%
양 71
 
6.0%
서 70
 
5.9%
울 70
 
5.9%
구 70
 
5.9%
시 70
 
5.9%
별 69
 
5.8%
특 69
 
5.8%
목 55
 
4.6%
Other values (88) 491
41.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
K 1
20.0%
T 1
20.0%
B 1
20.0%
D 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 469
99.6%
/ 1
 
0.2%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1189
57.5%
Common 872
42.2%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 83
 
7.0%
천 71
 
6.0%
양 71
 
6.0%
서 70
 
5.9%
울 70
 
5.9%
구 70
 
5.9%
시 70
 
5.9%
별 69
 
5.8%
특 69
 
5.8%
목 55
 
4.6%
Other values (88) 491
41.3%
Latin
ValueCountFrequency (%)
Ⅰ 1
16.7%
A 1
16.7%
K 1
16.7%
T 1
16.7%
B 1
16.7%
D 1
16.7%
Common
ValueCountFrequency (%)
* 469
53.8%
346
39.7%
- 55
 
6.3%
/ 1
 
0.1%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1189
57.5%
ASCII 877
42.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 469
53.5%
346
39.5%
- 55
 
6.3%
/ 1
 
0.1%
A 1
 
0.1%
K 1
 
0.1%
T 1
 
0.1%
, 1
 
0.1%
B 1
 
0.1%
D 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 83
 
7.0%
천 71
 
6.0%
양 71
 
6.0%
서 70
 
5.9%
울 70
 
5.9%
구 70
 
5.9%
시 70
 
5.9%
별 69
 
5.8%
특 69
 
5.8%
목 55
 
4.6%
Other values (88) 491
41.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명주소
Text

Distinct56
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T01:47:10.350771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length36.826087
Min length22

Characters and Unicode

Total characters2541
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)71.0%

Sample

1st row서울특별시 양천구 목동중앙본로*길 ** (목동)
2nd row서울특별시 양천구 목동서로*길 **, ***동 ****호 (목동,한신청구아파트)
3rd row서울특별시 양천구 목동동로 *** (목동,한국방송회관 **층)
4th row서울특별시 양천구 목동동로 *** (목동,한국방송회관 *층)
5th row서울특별시 양천구 목동동로 *** (목동,한국방송회관 *층)
ValueCountFrequency (%)
70
15.6%
서울특별시 69
15.3%
양천구 69
15.3%
호 46
10.2%
목동동로 25
 
5.6%
목동 24
 
5.3%
층 21
 
4.7%
신정동 13
 
2.9%
목동서로 13
 
2.9%
목동,현대드림타워 8
 
1.8%
Other values (67) 92
20.4%
2024-05-11T01:47:11.466462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 451
17.7%
416
16.4%
동 161
 
6.3%
목 108
 
4.3%
, 96
 
3.8%
서 85
 
3.3%
양 72
 
2.8%
천 72
 
2.8%
울 70
 
2.8%
구 70
 
2.8%
Other values (109) 940
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1417
55.8%
Other Punctuation 547
 
21.5%
Space Separator 416
 
16.4%
Close Punctuation 69
 
2.7%
Open Punctuation 69
 
2.7%
Dash Punctuation 20
 
0.8%
Uppercase Letter 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 161
 
11.4%
목 108
 
7.6%
서 85
 
6.0%
양 72
 
5.1%
천 72
 
5.1%
울 70
 
4.9%
구 70
 
4.9%
시 70
 
4.9%
별 69
 
4.9%
특 69
 
4.9%
Other values (100) 571
40.3%
Other Punctuation
ValueCountFrequency (%)
* 451
82.4%
, 96
 
17.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
416
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1417
55.8%
Common 1121
44.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 161
 
11.4%
목 108
 
7.6%
서 85
 
6.0%
양 72
 
5.1%
천 72
 
5.1%
울 70
 
4.9%
구 70
 
4.9%
시 70
 
4.9%
별 69
 
4.9%
특 69
 
4.9%
Other values (100) 571
40.3%
Common
ValueCountFrequency (%)
* 451
40.2%
416
37.1%
, 96
 
8.6%
) 69
 
6.2%
( 69
 
6.2%
- 20
 
1.8%
Latin
ValueCountFrequency (%)
Ⅰ 1
33.3%
K 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1417
55.8%
ASCII 1123
44.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 451
40.2%
416
37.0%
, 96
 
8.5%
) 69
 
6.1%
( 69
 
6.1%
- 20
 
1.8%
K 1
 
0.1%
T 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 161
 
11.4%
목 108
 
7.6%
서 85
 
6.0%
양 72
 
5.1%
천 72
 
5.1%
울 70
 
4.9%
구 70
 
4.9%
시 70
 
4.9%
별 69
 
4.9%
특 69
 
4.9%
Other values (100) 571
40.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)88.6%
Missing34
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean42419.743
Minimum7927
Maximum158885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T01:47:11.971986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7927
5-th percentile7941.2
Q17973
median7997
Q38096
95-th percentile158817.6
Maximum158885
Range150958
Interquartile range (IQR)123

Descriptive statistics

Standard deviation64167.101
Coefficient of variation (CV)1.5126707
Kurtosis-0.18771315
Mean42419.743
Median Absolute Deviation (MAD)34
Skewness1.3514285
Sum1484691
Variance4.1174169 × 109
MonotonicityNot monotonic
2024-05-11T01:47:12.603011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7995 3
 
4.3%
158050 2
 
2.9%
7997 2
 
2.9%
7965 1
 
1.4%
8092 1
 
1.4%
7951 1
 
1.4%
7970 1
 
1.4%
7937 1
 
1.4%
8077 1
 
1.4%
7998 1
 
1.4%
Other values (21) 21
30.4%
(Missing) 34
49.3%
ValueCountFrequency (%)
7927 1
1.4%
7937 1
1.4%
7943 1
1.4%
7951 1
1.4%
7958 1
1.4%
7963 1
1.4%
7965 1
1.4%
7969 1
1.4%
7970 1
1.4%
7976 1
1.4%
ValueCountFrequency (%)
158885 1
1.4%
158840 1
1.4%
158808 1
1.4%
158763 1
1.4%
158735 1
1.4%
158714 1
1.4%
158050 2
2.9%
8100 1
1.4%
8092 1
1.4%
8077 1
1.4%

사업장명
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T01:47:13.209373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.1884058
Min length4

Characters and Unicode

Total characters565
Distinct characters170
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row(주)일목필름
2nd row프로덕션아이엔지
3rd row(주)MBC미디어텍
4th row(주)미디어새벽
5th row엠디21
ValueCountFrequency (%)
주식회사 8
 
8.8%
영화사 3
 
3.3%
픽쳐스 2
 
2.2%
주)일목필름 1
 
1.1%
lee 1
 
1.1%
주는 1
 
1.1%
웃음을 1
 
1.1%
딴판 1
 
1.1%
영화사진필름 1
 
1.1%
주)프로젝트이공이일 1
 
1.1%
Other values (71) 71
78.0%
2024-05-11T01:47:14.619662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 39
 
6.9%
( 32
 
5.7%
) 32
 
5.7%
이 25
 
4.4%
22
 
3.9%
스 21
 
3.7%
디 21
 
3.7%
사 14
 
2.5%
필 11
 
1.9%
름 10
 
1.8%
Other values (160) 338
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 466
82.5%
Open Punctuation 32
 
5.7%
Close Punctuation 32
 
5.7%
Space Separator 22
 
3.9%
Uppercase Letter 10
 
1.8%
Decimal Number 2
 
0.4%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
 
8.4%
이 25
 
5.4%
스 21
 
4.5%
디 21
 
4.5%
사 14
 
3.0%
필 11
 
2.4%
름 10
 
2.1%
회 8
 
1.7%
식 8
 
1.7%
영 8
 
1.7%
Other values (147) 301
64.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
20.0%
B 2
20.0%
E 2
20.0%
L 1
10.0%
J 1
10.0%
M 1
10.0%
S 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
82.7%
Common 88
 
15.6%
Latin 10
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
 
8.4%
이 25
 
5.4%
스 21
 
4.5%
디 21
 
4.5%
사 14
 
3.0%
필 11
 
2.4%
름 10
 
2.1%
회 8
 
1.7%
식 8
 
1.7%
영 8
 
1.7%
Other values (148) 302
64.7%
Latin
ValueCountFrequency (%)
C 2
20.0%
B 2
20.0%
E 2
20.0%
L 1
10.0%
J 1
10.0%
M 1
10.0%
S 1
10.0%
Common
ValueCountFrequency (%)
( 32
36.4%
) 32
36.4%
22
25.0%
1 1
 
1.1%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 466
82.5%
ASCII 98
 
17.3%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 39
 
8.4%
이 25
 
5.4%
스 21
 
4.5%
디 21
 
4.5%
사 14
 
3.0%
필 11
 
2.4%
름 10
 
2.1%
회 8
 
1.7%
식 8
 
1.7%
영 8
 
1.7%
Other values (147) 301
64.6%
ASCII
ValueCountFrequency (%)
( 32
32.7%
) 32
32.7%
22
22.4%
C 2
 
2.0%
B 2
 
2.0%
E 2
 
2.0%
L 1
 
1.0%
J 1
 
1.0%
M 1
 
1.0%
1 1
 
1.0%
Other values (2) 2
 
2.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2010-04-29 18:11:28
Maximum2024-02-28 09:08:42
2024-05-11T01:47:15.113763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:47:15.606006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
I
56 
U
13 

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 56
81.2%
U 13
 
18.8%

Length

2024-05-11T01:47:16.128990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:16.484831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 56
81.2%
u 13
 
18.8%

데이터갱신일자
Categorical

Distinct28
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2018-08-31 23:59:59.0
42 
2021-01-27 02:40:00.0
 
1
2022-10-30 23:04:00.0
 
1
2021-12-07 23:08:00.0
 
1
2022-10-31 23:02:00.0
 
1
Other values (23)
23 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique27 ?
Unique (%)39.1%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 42
60.9%
2021-01-27 02:40:00.0 1
 
1.4%
2022-10-30 23:04:00.0 1
 
1.4%
2021-12-07 23:08:00.0 1
 
1.4%
2022-10-31 23:02:00.0 1
 
1.4%
2021-10-07 02:40:00.0 1
 
1.4%
2021-12-02 21:01:00.0 1
 
1.4%
2023-12-02 00:07:00.0 1
 
1.4%
2020-04-04 02:40:00.0 1
 
1.4%
2020-07-01 02:40:00.0 1
 
1.4%
Other values (18) 18
26.1%

Length

2024-05-11T01:47:17.275929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 42
30.4%
23:59:59.0 42
30.4%
02:40:00.0 4
 
2.9%
23:04:00.0 2
 
1.4%
2022-10-31 2
 
1.4%
23:02:00.0 2
 
1.4%
2022-12-07 2
 
1.4%
00:07:00.0 2
 
1.4%
23:09:00.0 2
 
1.4%
2022-12-04 1
 
0.7%
Other values (37) 37
26.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)66.7%
Missing3
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean188331.39
Minimum185189.96
Maximum189645.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T01:47:18.003441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185189.96
5-th percentile185857.22
Q1188026.01
median188576.3
Q3188950.73
95-th percentile189507.72
Maximum189645.58
Range4455.6164
Interquartile range (IQR)924.7251

Descriptive statistics

Standard deviation1021.1826
Coefficient of variation (CV)0.0054222641
Kurtosis2.2705396
Mean188331.39
Median Absolute Deviation (MAD)408.87202
Skewness-1.5587215
Sum12429872
Variance1042813.8
MonotonicityNot monotonic
2024-05-11T01:47:18.706993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
188584.345447275 9
 
13.0%
188572.108662809 7
 
10.1%
189151.208015925 4
 
5.8%
189519.862506193 3
 
4.3%
188538.244361038 2
 
2.9%
188953.066831076 2
 
2.9%
188493.762740612 2
 
2.9%
185288.809238286 1
 
1.4%
189403.250556919 1
 
1.4%
187092.286155416 1
 
1.4%
Other values (34) 34
49.3%
(Missing) 3
 
4.3%
ValueCountFrequency (%)
185189.960683854 1
1.4%
185288.809238286 1
1.4%
185522.898056705 1
1.4%
185782.231545092 1
1.4%
186082.175714046 1
1.4%
186723.502831215 1
1.4%
186852.153851552 1
1.4%
187070.357346625 1
1.4%
187092.286155416 1
1.4%
187557.747799461 1
1.4%
ValueCountFrequency (%)
189645.577035228 1
 
1.4%
189519.862506193 3
4.3%
189471.306217651 1
 
1.4%
189414.62538314 1
 
1.4%
189403.250556919 1
 
1.4%
189332.773428473 1
 
1.4%
189311.02246611 1
 
1.4%
189151.208015925 4
5.8%
189077.657991611 1
 
1.4%
189017.269538387 1
 
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)66.7%
Missing3
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean447522.44
Minimum445405.99
Maximum449380.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T01:47:19.279532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445405.99
5-th percentile445955.74
Q1447198.91
median447255.07
Q3448200.07
95-th percentile449097.41
Maximum449380.07
Range3974.0838
Interquartile range (IQR)1001.1551

Descriptive statistics

Standard deviation917.19053
Coefficient of variation (CV)0.002049485
Kurtosis-0.034501462
Mean447522.44
Median Absolute Deviation (MAD)480.69496
Skewness-0.080730444
Sum29536481
Variance841238.46
MonotonicityNot monotonic
2024-05-11T01:47:20.056441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
447255.070457495 9
 
13.0%
447198.912625565 7
 
10.1%
448200.067716589 4
 
5.8%
448282.256149224 3
 
4.3%
447476.275717561 2
 
2.9%
447333.569187997 2
 
2.9%
447213.539278579 2
 
2.9%
447271.66902239 1
 
1.4%
449060.576185684 1
 
1.4%
447007.584532437 1
 
1.4%
Other values (34) 34
49.3%
(Missing) 3
 
4.3%
ValueCountFrequency (%)
445405.990259655 1
1.4%
445428.447103333 1
1.4%
445569.639465968 1
1.4%
445946.301564284 1
1.4%
445984.041714478 1
1.4%
446030.714521005 1
1.4%
446378.049578238 1
1.4%
446469.019423795 1
1.4%
446714.974104065 1
1.4%
446789.455292404 1
1.4%
ValueCountFrequency (%)
449380.074012936 1
1.4%
449243.745105112 1
1.4%
449204.635182585 1
1.4%
449109.689187677 1
1.4%
449060.576185684 1
1.4%
448883.249477683 1
1.4%
448806.969143828 1
1.4%
448762.355826659 1
1.4%
448675.86994107 1
1.4%
448555.379259599 1
1.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
영화제작업
51 
<NA>
18 

Length

Max length5
Median length5
Mean length4.7391304
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 51
73.9%
<NA> 18
 
26.1%

Length

2024-05-11T01:47:20.559675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:20.946284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 51
73.9%
na 18
 
26.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
67 
0
 
2

Length

Max length4
Median length4
Mean length3.9130435
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> 67
97.1%
0 2
 
2.9%

Length

2024-05-11T01:47:21.637349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:22.261603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
97.1%
0 2
 
2.9%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
67 
0
 
2

Length

Max length4
Median length4
Mean length3.9130435
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> 67
97.1%
0 2
 
2.9%

Length

2024-05-11T01:47:22.734542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:23.285105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
97.1%
0 2
 
2.9%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
67 
0
 
2

Length

Max length4
Median length4
Mean length3.9130435
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> 67
97.1%
0 2
 
2.9%

Length

2024-05-11T01:47:23.955181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:24.649001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
97.1%
0 2
 
2.9%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
67 
0
 
2

Length

Max length4
Median length4
Mean length3.9130435
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> 67
97.1%
0 2
 
2.9%

Length

2024-05-11T01:47:25.242676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:25.700466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
97.1%
0 2
 
2.9%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
67 
0
 
2

Length

Max length4
Median length4
Mean length3.9130435
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> 67
97.1%
0 2
 
2.9%

Length

2024-05-11T01:47:26.279416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:26.696581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
97.1%
0 2
 
2.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
67 
0
 
2

Length

Max length4
Median length4
Mean length3.9130435
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> 67
97.1%
0 2
 
2.9%

Length

2024-05-11T01:47:27.350461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:27.685226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
97.1%
0 2
 
2.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
67 
0
 
2

Length

Max length4
Median length4
Mean length3.9130435
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> 67
97.1%
0 2
 
2.9%

Length

2024-05-11T01:47:27.913363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:28.324544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
97.1%
0 2
 
2.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
67 
0
 
2

Length

Max length4
Median length4
Mean length3.9130435
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> 67
97.1%
0 2
 
2.9%

Length

2024-05-11T01:47:28.679049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:29.029449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
97.1%
0 2
 
2.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
67 
0
 
2

Length

Max length4
Median length4
Mean length3.9130435
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> 67
97.1%
0 2
 
2.9%

Length

2024-05-11T01:47:29.282659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:47:29.668567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
97.1%
0 2
 
2.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)96.1%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean20077060
Minimum19950310
Maximum20220304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T01:47:30.105353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950310
5-th percentile19991214
Q120020826
median20080328
Q320115512
95-th percentile20195458
Maximum20220304
Range269994
Interquartile range (IQR)94687

Descriptive statistics

Standard deviation64716.413
Coefficient of variation (CV)0.0032234009
Kurtosis-0.35389122
Mean20077060
Median Absolute Deviation (MAD)49317
Skewness0.36303003
Sum1.0239301 × 109
Variance4.1882141 × 109
MonotonicityNot monotonic
2024-05-11T01:47:30.595102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
19991223 2
 
2.9%
20080328 2
 
2.9%
20120309 1
 
1.4%
20090616 1
 
1.4%
20101005 1
 
1.4%
20090511 1
 
1.4%
20110503 1
 
1.4%
20110613 1
 
1.4%
20110704 1
 
1.4%
20110706 1
 
1.4%
Other values (39) 39
56.5%
(Missing) 18
26.1%
ValueCountFrequency (%)
19950310 1
1.4%
19990723 1
1.4%
19991204 1
1.4%
19991223 2
2.9%
20000802 1
1.4%
20000811 1
1.4%
20010217 1
1.4%
20010331 1
1.4%
20010510 1
1.4%
20010627 1
1.4%
ValueCountFrequency (%)
20220304 1
1.4%
20220207 1
1.4%
20210312 1
1.4%
20180604 1
1.4%
20180412 1
1.4%
20170414 1
1.4%
20151103 1
1.4%
20130319 1
1.4%
20121002 1
1.4%
20120402 1
1.4%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03140000CDFF521101199500000119950310<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158815서울특별시 양천구 목동 ***-*번지서울특별시 양천구 목동중앙본로*길 ** (목동)<NA>(주)일목필름2010-07-15 09:59:51I2018-08-31 23:59:59.0<NA>188306.018224448484.636765영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19950310<NA>
13140000CDFF521101199900000119990723<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158759서울특별시 양천구 목동 ***번지 한신청구아파트 ***동 ****호서울특별시 양천구 목동서로*길 **, ***동 ****호 (목동,한신청구아파트)<NA>프로덕션아이엔지2010-04-29 18:11:28I2018-08-31 23:59:59.0<NA>189471.306218448806.969144영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990723<NA>
23140000CDFF521101199900000219991204<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158715서울특별시 양천구 목동 ***-*번지 한국방송회관 **층서울특별시 양천구 목동동로 *** (목동,한국방송회관 **층)<NA>(주)MBC미디어텍2010-04-29 18:23:13I2018-08-31 23:59:59.0<NA>188572.108663447198.912626영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19991204<NA>
33140000CDFF521101199900000319991223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*번지 한국방송회관 *층서울특별시 양천구 목동동로 *** (목동,한국방송회관 *층)<NA>(주)미디어새벽2010-05-12 12:28:32I2018-08-31 23:59:59.0<NA>188572.108663447198.912626영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19991223<NA>
43140000CDFF521101199900000419991223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158715서울특별시 양천구 목동 ***-*번지 한국방송회관 *층서울특별시 양천구 목동동로 *** (목동,한국방송회관 *층)<NA>엠디212010-05-12 10:52:45I2018-08-31 23:59:59.0<NA>188572.108663447198.912626영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19991223<NA>
53140000CDFF521101200000000120000802<NA>1영업/정상13영업중<NA><NA><NA><NA>786-6587<NA>158860서울특별시 양천구 신정동 ***-*번지서울특별시 양천구 오목로**길 * (신정동)<NA>(주)금송기획2010-05-12 10:58:51I2018-08-31 23:59:59.0<NA>187589.841177446981.332061영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000802<NA>
63140000CDFF521101200000000220000811<NA>1영업/정상13영업중<NA><NA><NA><NA>2166-2121<NA>158718서울특별시 양천구 목동 ***-**번지 현대드림타워 ***호서울특별시 양천구 목동동로 ***-*, ***호 (목동,현대드림타워)<NA>스튜디오캐노피2010-05-12 12:11:13I2018-08-31 23:59:59.0<NA>188584.345447447255.070457영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000811<NA>
73140000CDFF521101200100000120010217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158715서울특별시 양천구 목동 ***-*번지 한국방송회관 **층서울특별시 양천구 목동동로 *** (목동,한국방송회관 **층)<NA>(주)에펙스디지탈2010-05-12 11:05:58I2018-08-31 23:59:59.0<NA>188572.108663447198.912626영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010217<NA>
83140000CDFF521101200100000220010331<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158861서울특별시 양천구 신정동 ****-*번지 **호서울특별시 양천구 신월로 ***, **호 (신정동)<NA>월드코리아필름2010-05-12 11:09:45I2018-08-31 23:59:59.0<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010331<NA>
93140000CDFF521101200100000320010510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158718서울특별시 양천구 목동 ***-**번지 현대드림타워 ***호서울특별시 양천구 목동동로 ***-*, ***호 (목동,현대드림타워)<NA>스튜디오블루(주)2010-05-12 13:21:34I2018-08-31 23:59:59.0<NA>188584.345447447255.070457영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010510<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
593140000CDFF521101202300000120230112<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2604-5856<NA><NA>서울특별시 양천구 신정동 ***-* ***호서울특별시 양천구 국회대로 ***, ***호 (신정동)7937(주)이븐이엔티2023-01-12 09:47:15I2022-11-30 23:04:00.0<NA>187677.405864447436.286349<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603140000CDFF52110120230000022023-02-07<NA>5제외/삭제/전출15전출2023-04-18<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-** 드림타워서울특별시 양천구 목동동로 ***-*, 드림타워 **층 ****호 (목동)7995영화사 공생공락2023-04-18 10:01:20U2022-12-03 22:00:00.0<NA>188584.345447447255.070457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613140000CDFF52110120230000032023-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ****-**서울특별시 양천구 중앙로 *** (신정동)8077라이트컬처하우스2023-02-17 09:10:56I2022-12-01 23:09:00.0<NA>187070.357347445946.301564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623140000CDFF52110120230000042023-05-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-** 다나네스트빌서울특별시 양천구 목동중앙서로*나길 **-**, *층 ***호 (목동, 다나네스트빌)7965드리머드리밍2023-05-10 11:06:14I2022-12-04 23:02:00.0<NA>188012.46064448105.154808<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633140000CDFF52110120230000052023-06-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 *** 현대하이페리온서울특별시 양천구 목동동로 ***, ***동 ****호 (목동, 현대하이페리온)7998스튜디오몬도 주식회사2023-06-02 17:55:31I2022-12-06 00:04:00.0<NA>188884.075622447186.888604<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643140000CDFF52110120230000062023-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*** 경우하이츠맨션서울특별시 양천구 목동중앙본로*길 **-**, *층 ***호 (목동, 경우하이츠맨션)7976아포코필름2023-07-07 16:13:28I2022-12-07 00:09:00.0<NA>188567.839215448675.869941<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
653140000CDFF52110120230000072007-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*서울특별시 양천구 안양천로 ****, **층 ****호 (목동)7978(주)뷰구공일2023-08-17 09:00:51I2022-12-07 23:09:00.0<NA>189645.577035448883.249478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
663140000CDFF52110120230000082023-10-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**서울특별시 양천구 목동중앙남로**길 *, *층 (목동)7958신희재 프로덕션2023-12-19 17:44:54U2022-11-01 22:01:00.0<NA>188065.613157448555.37926<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
673140000CDFF52110120240000012024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 *** 양천아파트서울특별시 양천구 목동로*길 **, ***동 ****호 (신정동, 양천아파트)8100상세불명의 떨림2024-02-23 16:12:02I2023-12-01 22:05:00.0<NA>188012.804745445428.447103<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
683140000CDFF52110120240000022024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-** 에이스아파트서울특별시 양천구 목동중앙남로 **-**, *층 ***호 (목동, 에이스아파트)7963결고운필름프로덕션2024-02-28 09:08:42I2023-12-03 00:01:00.0<NA>188208.131224448137.794307<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>