Overview

Dataset statistics

Number of variables56
Number of observations21
Missing cells595
Missing cells (%)50.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory498.3 B

Variable types

Categorical17
Text5
DateTime2
Unsupported27
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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17695/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 12 (57.1%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 4 (19.0%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
도로명주소 has 1 (4.8%) missing valuesMissing
도로명우편번호 has 8 (38.1%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
문화사업자구분명 has 21 (100.0%) missing valuesMissing
주변환경명 has 21 (100.0%) missing valuesMissing
제작취급품목내용 has 21 (100.0%) missing valuesMissing
건물용도명 has 21 (100.0%) missing valuesMissing
비상계단여부 has 21 (100.0%) missing valuesMissing
비상구여부 has 21 (100.0%) missing valuesMissing
자동환기여부 has 21 (100.0%) missing valuesMissing
청소년실여부 has 21 (100.0%) missing valuesMissing
특수조명여부 has 21 (100.0%) missing valuesMissing
방음시설여부 has 21 (100.0%) missing valuesMissing
비디오재생기명 has 21 (100.0%) missing valuesMissing
조명시설유무 has 21 (100.0%) missing valuesMissing
음향시설여부 has 21 (100.0%) missing valuesMissing
편의시설여부 has 21 (100.0%) missing valuesMissing
소방시설여부 has 21 (100.0%) missing valuesMissing
기존게임업외업종명 has 21 (100.0%) missing valuesMissing
제공게임물명 has 21 (100.0%) missing valuesMissing
공연장형태구분명 has 21 (100.0%) missing valuesMissing
품목명 has 21 (100.0%) missing valuesMissing
최초등록시점 has 3 (14.3%) missing valuesMissing
지역구분명 has 21 (100.0%) missing valuesMissing
관리번호 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 11:14:29.351446
Analysis finished2024-04-06 11:14:30.197424
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3180000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 21
100.0%

Length

2024-04-06T20:14:30.379865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:30.537753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 21
100.0%

관리번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-06T20:14:30.838983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters420
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

Unique21 ?
Unique (%)100.0%

Sample

1st rowCDFF5211041987000001
2nd rowCDFF5211041999000001
3rd rowCDFF5211042005000001
4th rowCDFF5211042005000002
5th rowCDFF5211042005000003
ValueCountFrequency (%)
cdff5211041987000001 1
 
4.8%
cdff5211042014000002 1
 
4.8%
cdff5211042023000001 1
 
4.8%
cdff5211042022000001 1
 
4.8%
cdff5211042021000001 1
 
4.8%
cdff5211042019000001 1
 
4.8%
cdff5211042018000002 1
 
4.8%
cdff5211042018000001 1
 
4.8%
cdff5211042014000004 1
 
4.8%
cdff5211042014000003 1
 
4.8%
Other values (11) 11
52.4%
2024-04-06T20:14:31.348887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 151
36.0%
1 68
16.2%
2 50
 
11.9%
F 42
 
10.0%
4 26
 
6.2%
5 24
 
5.7%
C 21
 
5.0%
D 21
 
5.0%
9 6
 
1.4%
3 5
 
1.2%
Other values (3) 6
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
80.0%
Uppercase Letter 84
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 151
44.9%
1 68
20.2%
2 50
 
14.9%
4 26
 
7.7%
5 24
 
7.1%
9 6
 
1.8%
3 5
 
1.5%
8 3
 
0.9%
7 2
 
0.6%
6 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
80.0%
Latin 84
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 151
44.9%
1 68
20.2%
2 50
 
14.9%
4 26
 
7.7%
5 24
 
7.1%
9 6
 
1.8%
3 5
 
1.5%
8 3
 
0.9%
7 2
 
0.6%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 151
36.0%
1 68
16.2%
2 50
 
11.9%
F 42
 
10.0%
4 26
 
6.2%
5 24
 
5.7%
C 21
 
5.0%
D 21
 
5.0%
9 6
 
1.4%
3 5
 
1.2%
Other values (3) 6
 
1.4%

인허가일자
Date

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum1987-01-23 00:00:00
Maximum2023-02-10 00:00:00
2024-04-06T20:14:31.530459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:14:31.716338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
11 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 11
52.4%
3 10
47.6%

Length

2024-04-06T20:14:31.913527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:32.085297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
52.4%
3 10
47.6%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
11 
폐업
10 

Length

Max length5
Median length5
Mean length3.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 10
47.6%

Length

2024-04-06T20:14:32.285326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:32.466072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 10
47.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
13
11 
3
10 

Length

Max length2
Median length2
Mean length1.5238095
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 11
52.4%
3 10
47.6%

Length

2024-04-06T20:14:32.635331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:32.830235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 11
52.4%
3 10
47.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업중
11 
폐업
10 

Length

Max length3
Median length3
Mean length2.5238095
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 11
52.4%
폐업 10
47.6%

Length

2024-04-06T20:14:33.014811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:33.181448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 11
52.4%
폐업 10
47.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing12
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean20148608
Minimum20091217
Maximum20211006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T20:14:33.348284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091217
5-th percentile20091217
Q120140331
median20150803
Q320160714
95-th percentile20203096
Maximum20211006
Range119789
Interquartile range (IQR)20383

Descriptive statistics

Standard deviation39872.341
Coefficient of variation (CV)0.0019789129
Kurtosis-0.31054289
Mean20148608
Median Absolute Deviation (MAD)10472
Skewness-0.14038772
Sum1.8133748 × 108
Variance1.5898036 × 109
MonotonicityNot monotonic
2024-04-06T20:14:33.563995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20150803 1
 
4.8%
20091217 1
 
4.8%
20091218 1
 
4.8%
20140331 1
 
4.8%
20140628 1
 
4.8%
20191230 1
 
4.8%
20160329 1
 
4.8%
20160714 1
 
4.8%
20211006 1
 
4.8%
(Missing) 12
57.1%
ValueCountFrequency (%)
20091217 1
4.8%
20091218 1
4.8%
20140331 1
4.8%
20140628 1
4.8%
20150803 1
4.8%
20160329 1
4.8%
20160714 1
4.8%
20191230 1
4.8%
20211006 1
4.8%
ValueCountFrequency (%)
20211006 1
4.8%
20191230 1
4.8%
20160714 1
4.8%
20160329 1
4.8%
20150803 1
4.8%
20140628 1
4.8%
20140331 1
4.8%
20091218 1
4.8%
20091217 1
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)94.1%
Missing4
Missing (%)19.0%
Memory size300.0 B
2024-04-06T20:14:33.934753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.235294
Min length8

Characters and Unicode

Total characters174
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

Unique15 ?
Unique (%)88.2%

Sample

1st row789-5869
2nd row2678-1014
3rd row2633-7296
4th row2633-7388
5th row2679-5300
ValueCountFrequency (%)
02-3667-1189 2
 
11.8%
782-0087 1
 
5.9%
02-780-6907 1
 
5.9%
02-6004-5007 1
 
5.9%
02-761-8836 1
 
5.9%
02-2284-3911 1
 
5.9%
3443-2574 1
 
5.9%
02-2655-9433 1
 
5.9%
2678-1014 1
 
5.9%
02-784-0108 1
 
5.9%
Other values (6) 6
35.3%
2024-04-06T20:14:34.465949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 26
14.9%
0 23
13.2%
2 21
12.1%
7 20
11.5%
6 17
9.8%
8 16
9.2%
3 14
8.0%
1 11
6.3%
9 10
 
5.7%
4 9
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 148
85.1%
Dash Punctuation 26
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
15.5%
2 21
14.2%
7 20
13.5%
6 17
11.5%
8 16
10.8%
3 14
9.5%
1 11
7.4%
9 10
6.8%
4 9
 
6.1%
5 7
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 26
14.9%
0 23
13.2%
2 21
12.1%
7 20
11.5%
6 17
9.8%
8 16
9.2%
3 14
8.0%
1 11
6.3%
9 10
 
5.7%
4 9
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 26
14.9%
0 23
13.2%
2 21
12.1%
7 20
11.5%
6 17
9.8%
8 16
9.2%
3 14
8.0%
1 11
6.3%
9 10
 
5.7%
4 9
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지번주소
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-06T20:14:34.844706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length28.047619
Min length21

Characters and Unicode

Total characters589
Distinct characters68
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

Unique17 ?
Unique (%)81.0%

Sample

1st row서울특별시 영등포구 여의도동 60번지
2nd row서울특별시 영등포구 영등포동3가 2번지
3rd row서울특별시 영등포구 영등포동3가 8-1번지
4th row서울특별시 영등포구 영등포동3가 8-1번지
5th row서울특별시 영등포구 문래동3가 82-29번지 문래동우리벤처타운2 5-506, 507호
ValueCountFrequency (%)
서울특별시 21
20.2%
영등포구 21
20.2%
여의도동 8
 
7.7%
영등포동3가 3
 
2.9%
8-1번지 2
 
1.9%
문래동3가 2
 
1.9%
대철빌딩 2
 
1.9%
60-3 2
 
1.9%
문래동2가 2
 
1.9%
엘지여의도에클라트 1
 
1.0%
Other values (40) 40
38.5%
2024-04-06T20:14:35.425378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
16.3%
영 27
 
4.6%
등 27
 
4.6%
포 27
 
4.6%
동 23
 
3.9%
서 21
 
3.6%
특 21
 
3.6%
별 21
 
3.6%
시 21
 
3.6%
구 21
 
3.6%
Other values (58) 284
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 370
62.8%
Decimal Number 103
 
17.5%
Space Separator 96
 
16.3%
Dash Punctuation 15
 
2.5%
Uppercase Letter 3
 
0.5%
Lowercase Letter 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 27
 
7.3%
등 27
 
7.3%
포 27
 
7.3%
동 23
 
6.2%
서 21
 
5.7%
특 21
 
5.7%
별 21
 
5.7%
시 21
 
5.7%
구 21
 
5.7%
울 21
 
5.7%
Other values (42) 140
37.8%
Decimal Number
ValueCountFrequency (%)
2 17
16.5%
1 15
14.6%
3 14
13.6%
4 13
12.6%
5 12
11.7%
0 11
10.7%
6 9
8.7%
8 6
 
5.8%
9 5
 
4.9%
7 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
62.8%
Common 215
36.5%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 27
 
7.3%
등 27
 
7.3%
포 27
 
7.3%
동 23
 
6.2%
서 21
 
5.7%
특 21
 
5.7%
별 21
 
5.7%
시 21
 
5.7%
구 21
 
5.7%
울 21
 
5.7%
Other values (42) 140
37.8%
Common
ValueCountFrequency (%)
96
44.7%
2 17
 
7.9%
- 15
 
7.0%
1 15
 
7.0%
3 14
 
6.5%
4 13
 
6.0%
5 12
 
5.6%
0 11
 
5.1%
6 9
 
4.2%
8 6
 
2.8%
Other values (3) 7
 
3.3%
Latin
ValueCountFrequency (%)
K 2
50.0%
n 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 370
62.8%
ASCII 219
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
43.8%
2 17
 
7.8%
- 15
 
6.8%
1 15
 
6.8%
3 14
 
6.4%
4 13
 
5.9%
5 12
 
5.5%
0 11
 
5.0%
6 9
 
4.1%
8 6
 
2.7%
Other values (6) 11
 
5.0%
Hangul
ValueCountFrequency (%)
영 27
 
7.3%
등 27
 
7.3%
포 27
 
7.3%
동 23
 
6.2%
서 21
 
5.7%
특 21
 
5.7%
별 21
 
5.7%
시 21
 
5.7%
구 21
 
5.7%
울 21
 
5.7%
Other values (42) 140
37.8%

도로명주소
Text

MISSING 

Distinct18
Distinct (%)90.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-04-06T20:14:35.839084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length36.85
Min length24

Characters and Unicode

Total characters737
Distinct characters88
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)80.0%

Sample

1st row서울특별시 영등포구 63로 50 (여의도동)
2nd row서울특별시 영등포구 영등포로 256 (영등포동3가)
3rd row서울특별시 영등포구 영중로8길 6 (영등포동3가)
4th row서울특별시 영등포구 영중로8길 6 (영등포동3가)
5th row서울특별시 영등포구 선유로 70 (문래동3가,문래동우리벤처타운2 5-506, 507호)
ValueCountFrequency (%)
서울특별시 20
 
15.6%
영등포구 20
 
15.6%
여의도동 7
 
5.5%
영등포동3가 3
 
2.3%
6 2
 
1.6%
20 2
 
1.6%
여의대방로65길 2
 
1.6%
301호 2
 
1.6%
영중로8길 2
 
1.6%
문래동2가 2
 
1.6%
Other values (62) 66
51.6%
2024-04-06T20:14:36.408134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
15.3%
영 31
 
4.2%
등 27
 
3.7%
포 27
 
3.7%
동 22
 
3.0%
, 22
 
3.0%
0 21
 
2.8%
( 20
 
2.7%
) 20
 
2.7%
울 20
 
2.7%
Other values (78) 414
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
58.1%
Decimal Number 127
 
17.2%
Space Separator 113
 
15.3%
Other Punctuation 22
 
3.0%
Open Punctuation 20
 
2.7%
Close Punctuation 20
 
2.7%
Dash Punctuation 3
 
0.4%
Uppercase Letter 3
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 31
 
7.2%
등 27
 
6.3%
포 27
 
6.3%
동 22
 
5.1%
울 20
 
4.7%
서 20
 
4.7%
구 20
 
4.7%
시 20
 
4.7%
별 20
 
4.7%
특 20
 
4.7%
Other values (60) 201
47.0%
Decimal Number
ValueCountFrequency (%)
0 21
16.5%
1 18
14.2%
2 18
14.2%
6 17
13.4%
3 16
12.6%
5 11
8.7%
7 9
7.1%
8 7
 
5.5%
9 5
 
3.9%
4 5
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
K 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
113
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
58.1%
Common 305
41.4%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 31
 
7.2%
등 27
 
6.3%
포 27
 
6.3%
동 22
 
5.1%
울 20
 
4.7%
서 20
 
4.7%
구 20
 
4.7%
시 20
 
4.7%
별 20
 
4.7%
특 20
 
4.7%
Other values (60) 201
47.0%
Common
ValueCountFrequency (%)
113
37.0%
, 22
 
7.2%
0 21
 
6.9%
( 20
 
6.6%
) 20
 
6.6%
1 18
 
5.9%
2 18
 
5.9%
6 17
 
5.6%
3 16
 
5.2%
5 11
 
3.6%
Other values (5) 29
 
9.5%
Latin
ValueCountFrequency (%)
K 2
50.0%
n 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
58.1%
ASCII 309
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
36.6%
, 22
 
7.1%
0 21
 
6.8%
( 20
 
6.5%
) 20
 
6.5%
1 18
 
5.8%
2 18
 
5.8%
6 17
 
5.5%
3 16
 
5.2%
5 11
 
3.6%
Other values (8) 33
 
10.7%
Hangul
ValueCountFrequency (%)
영 31
 
7.2%
등 27
 
6.3%
포 27
 
6.3%
동 22
 
5.1%
울 20
 
4.7%
서 20
 
4.7%
구 20
 
4.7%
시 20
 
4.7%
별 20
 
4.7%
특 20
 
4.7%
Other values (60) 201
47.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)76.9%
Missing8
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean62393.769
Minimum7202
Maximum150903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T20:14:36.606199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7202
5-th percentile7223
Q17290
median7333
Q3150103
95-th percentile150895.8
Maximum150903
Range143701
Interquartile range (IQR)142813

Descriptive statistics

Standard deviation72550.756
Coefficient of variation (CV)1.1627885
Kurtosis-2.0562231
Mean62393.769
Median Absolute Deviation (MAD)96
Skewness0.53863726
Sum811119
Variance5.2636122 × 109
MonotonicityNot monotonic
2024-04-06T20:14:36.809371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7333 3
 
14.3%
7290 2
 
9.5%
150881 1
 
4.8%
150038 1
 
4.8%
150103 1
 
4.8%
150891 1
 
4.8%
150903 1
 
4.8%
7237 1
 
4.8%
7285 1
 
4.8%
7202 1
 
4.8%
(Missing) 8
38.1%
ValueCountFrequency (%)
7202 1
 
4.8%
7237 1
 
4.8%
7285 1
 
4.8%
7290 2
9.5%
7333 3
14.3%
150038 1
 
4.8%
150103 1
 
4.8%
150881 1
 
4.8%
150891 1
 
4.8%
150903 1
 
4.8%
ValueCountFrequency (%)
150903 1
 
4.8%
150891 1
 
4.8%
150881 1
 
4.8%
150103 1
 
4.8%
150038 1
 
4.8%
7333 3
14.3%
7290 2
9.5%
7285 1
 
4.8%
7237 1
 
4.8%
7202 1
 
4.8%

사업장명
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-06T20:14:37.093378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length9.7142857
Min length4

Characters and Unicode

Total characters204
Distinct characters89
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row한화호텔앤드리조트 주식회사
2nd row연흥극장(1~3관, 5~7관)
3rd row㈜에쉐르시네마
4th row㈜에쉐르종합건설
5th row㈜유진텍코퍼레이션
ValueCountFrequency (%)
주식회사 10
28.6%
주 3
 
8.6%
마나가네 2
 
5.7%
한화호텔앤드리조트 1
 
2.9%
케이팝스타 1
 
2.9%
에픽캔 1
 
2.9%
데이드림엔터테인먼트 1
 
2.9%
티브이씨씨 1
 
2.9%
레인메이커필름 1
 
2.9%
제이제이스타즈 1
 
2.9%
Other values (13) 13
37.1%
2024-04-06T20:14:37.648877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 14
 
6.9%
14
 
6.9%
회 10
 
4.9%
사 10
 
4.9%
이 10
 
4.9%
식 10
 
4.9%
에 7
 
3.4%
스 6
 
2.9%
( 5
 
2.5%
) 5
 
2.5%
Other values (79) 113
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170
83.3%
Space Separator 14
 
6.9%
Open Punctuation 5
 
2.5%
Close Punctuation 5
 
2.5%
Decimal Number 4
 
2.0%
Other Symbol 3
 
1.5%
Math Symbol 2
 
1.0%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
8.2%
회 10
 
5.9%
사 10
 
5.9%
이 10
 
5.9%
식 10
 
5.9%
에 7
 
4.1%
스 6
 
3.5%
마 4
 
2.4%
네 4
 
2.4%
필 3
 
1.8%
Other values (69) 92
54.1%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
3 1
25.0%
1 1
25.0%
7 1
25.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
84.8%
Common 31
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
8.1%
회 10
 
5.8%
사 10
 
5.8%
이 10
 
5.8%
식 10
 
5.8%
에 7
 
4.0%
스 6
 
3.5%
마 4
 
2.3%
네 4
 
2.3%
필 3
 
1.7%
Other values (70) 95
54.9%
Common
ValueCountFrequency (%)
14
45.2%
( 5
 
16.1%
) 5
 
16.1%
~ 2
 
6.5%
5 1
 
3.2%
, 1
 
3.2%
3 1
 
3.2%
1 1
 
3.2%
7 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170
83.3%
ASCII 31
 
15.2%
None 3
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 14
 
8.2%
회 10
 
5.9%
사 10
 
5.9%
이 10
 
5.9%
식 10
 
5.9%
에 7
 
4.1%
스 6
 
3.5%
마 4
 
2.4%
네 4
 
2.4%
필 3
 
1.8%
Other values (69) 92
54.1%
ASCII
ValueCountFrequency (%)
14
45.2%
( 5
 
16.1%
) 5
 
16.1%
~ 2
 
6.5%
5 1
 
3.2%
, 1
 
3.2%
3 1
 
3.2%
1 1
 
3.2%
7 1
 
3.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2010-04-30 13:52:03
Maximum2023-02-28 09:36:20
2024-04-06T20:14:37.875242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:14:38.069578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

데이터갱신구분
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
14 
U
6 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
I 14
66.7%
U 6
28.6%
D 1
 
4.8%

Length

2024-04-06T20:14:38.320703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:38.504444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 14
66.7%
u 6
28.6%
d 1
 
4.8%

데이터갱신일자
Categorical

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
2018-08-31 23:59:59.0
12 
2022-02-20 02:40:00.0
 
1
2020-01-01 02:40:00.0
 
1
2021-10-08 02:40:00.0
 
1
2019-09-12 02:40:00.0
 
1
Other values (5)
5 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)42.9%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 12
57.1%
2022-02-20 02:40:00.0 1
 
4.8%
2020-01-01 02:40:00.0 1
 
4.8%
2021-10-08 02:40:00.0 1
 
4.8%
2019-09-12 02:40:00.0 1
 
4.8%
2019-10-20 02:40:00.0 1
 
4.8%
2021-05-19 02:40:00.0 1
 
4.8%
2021-12-04 00:07:00.0 1
 
4.8%
2022-12-03 00:03:00.0 1
 
4.8%
2022-12-01 23:02:00.0 1
 
4.8%

Length

2024-04-06T20:14:38.696661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:39.429982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 12
28.6%
23:59:59.0 12
28.6%
02:40:00.0 6
14.3%
2022-02-20 1
 
2.4%
2020-01-01 1
 
2.4%
2021-10-08 1
 
2.4%
2019-09-12 1
 
2.4%
2019-10-20 1
 
2.4%
2021-05-19 1
 
2.4%
2021-12-04 1
 
2.4%
Other values (5) 5
11.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191969.2
Minimum189921.67
Maximum194632.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T20:14:39.664313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189921.67
5-th percentile190146.79
Q1190520.72
median191650.26
Q3193474.24
95-th percentile193818.18
Maximum194632.53
Range4710.8545
Interquartile range (IQR)2953.5236

Descriptive statistics

Standard deviation1455.0315
Coefficient of variation (CV)0.0075795048
Kurtosis-1.2255722
Mean191969.2
Median Absolute Deviation (MAD)1135.7351
Skewness0.20233491
Sum4031353.2
Variance2117116.5
MonotonicityNot monotonic
2024-04-06T20:14:39.862791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
191650.262823467 2
 
9.5%
190520.71717929 2
 
9.5%
193694.665015597 2
 
9.5%
194632.526367463 1
 
4.8%
193617.653140632 1
 
4.8%
193818.18014 1
 
4.8%
190153.128546656 1
 
4.8%
189921.671894763 1
 
4.8%
192785.997964211 1
 
4.8%
192165.352442523 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
189921.671894763 1
4.8%
190146.79444215 1
4.8%
190153.128546656 1
4.8%
190217.705071932 1
4.8%
190520.71717929 2
9.5%
191087.758954321 1
4.8%
191443.012550687 1
4.8%
191457.663413167 1
4.8%
191650.262823467 2
9.5%
191960.889844759 1
4.8%
ValueCountFrequency (%)
194632.526367463 1
4.8%
193818.18014 1
4.8%
193694.665015597 2
9.5%
193617.653140632 1
4.8%
193474.240829093 1
4.8%
192785.997964211 1
4.8%
192739.314354154 1
4.8%
192165.352442523 1
4.8%
191960.889844759 1
4.8%
191650.262823467 2
9.5%

좌표정보(Y)
Real number (ℝ)

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446555.24
Minimum445830.12
Maximum448779.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T20:14:40.030517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445830.12
5-th percentile445830.12
Q1446234.79
median446421.26
Q3446609.11
95-th percentile447523.12
Maximum448779.57
Range2949.4572
Interquartile range (IQR)374.32058

Descriptive statistics

Standard deviation651.88287
Coefficient of variation (CV)0.0014598034
Kurtosis6.3169279
Mean446555.24
Median Absolute Deviation (MAD)186.475
Skewness2.2194599
Sum9377660.1
Variance424951.28
MonotonicityNot monotonic
2024-04-06T20:14:40.221424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
446234.789725611 2
 
9.5%
445830.117339754 2
 
9.5%
446449.546192539 2
 
9.5%
446401.926526228 1
 
4.8%
446421.26472279 1
 
4.8%
446332.089777304 1
 
4.8%
448779.57454276 1
 
4.8%
445990.538307199 1
 
4.8%
447523.1165117 1
 
4.8%
446305.904130001 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
445830.117339754 2
9.5%
445990.538307199 1
4.8%
446157.437289242 1
4.8%
446234.789725611 2
9.5%
446273.11078284 1
4.8%
446305.904130001 1
4.8%
446332.089777304 1
4.8%
446401.926526228 1
4.8%
446421.26472279 1
4.8%
446449.546192539 2
9.5%
ValueCountFrequency (%)
448779.57454276 1
4.8%
447523.1165117 1
4.8%
447179.850506981 1
4.8%
447018.198264889 1
4.8%
446636.663614573 1
4.8%
446609.110301727 1
4.8%
446552.469845648 1
4.8%
446449.917568696 1
4.8%
446449.546192539 2
9.5%
446421.26472279 1
4.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영화상영업
18 
<NA>
3 

Length

Max length5
Median length5
Mean length4.8571429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:40.492767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:40.677159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 18
85.7%
na 3
 
14.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

총층수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
<NA>
3 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:40.958380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:41.180546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
na 3
 
14.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

시설면적
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
<NA>
3 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:41.367986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:41.551743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
na 3
 
14.3%

지상층수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
<NA>
3 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:41.793721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:42.022334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
na 3
 
14.3%

지하층수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
<NA>
3 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:42.309045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:42.494107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
na 3
 
14.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

통로너비
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
<NA>
3 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:42.707009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:42.899414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
na 3
 
14.3%

조명시설조도
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
<NA>
3 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:43.092333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:43.265548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
na 3
 
14.3%

노래방실수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
<NA>
3 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:43.471758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:43.650090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
na 3
 
14.3%

청소년실수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
<NA>
3 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:43.832188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:44.081548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
na 3
 
14.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

총게임기수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
<NA>
3 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
<NA> 3
 
14.3%

Length

2024-04-06T20:14:44.279941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:14:44.603126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
na 3
 
14.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing3
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean20100023
Minimum19870123
Maximum20210122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T20:14:44.812501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870123
5-th percentile19972553
Q120053440
median20120366
Q320141022
95-th percentile20193467
Maximum20210122
Range339999
Interquartile range (IQR)87582.25

Descriptive statistics

Standard deviation82485.282
Coefficient of variation (CV)0.0041037406
Kurtosis2.3059322
Mean20100023
Median Absolute Deviation (MAD)59943.5
Skewness-1.2365068
Sum3.6180042 × 108
Variance6.8038218 × 109
MonotonicityIncreasing
2024-04-06T20:14:45.026977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20050216 2
 
9.5%
20140627 1
 
4.8%
20210122 1
 
4.8%
20190528 1
 
4.8%
20180706 1
 
4.8%
20180615 1
 
4.8%
20141024 1
 
4.8%
20141015 1
 
4.8%
19870123 1
 
4.8%
19990629 1
 
4.8%
Other values (7) 7
33.3%
(Missing) 3
14.3%
ValueCountFrequency (%)
19870123 1
4.8%
19990629 1
4.8%
20050216 2
9.5%
20051010 1
4.8%
20060728 1
4.8%
20070911 1
4.8%
20090615 1
4.8%
20110420 1
4.8%
20130312 1
4.8%
20140602 1
4.8%
ValueCountFrequency (%)
20210122 1
4.8%
20190528 1
4.8%
20180706 1
4.8%
20180615 1
4.8%
20141024 1
4.8%
20141015 1
4.8%
20140627 1
4.8%
20140602 1
4.8%
20130312 1
4.8%
20110420 1
4.8%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF521104198700000119870123<NA>3폐업3폐업20150803<NA><NA><NA>789-5869<NA><NA>서울특별시 영등포구 여의도동 60번지서울특별시 영등포구 63로 50 (여의도동)<NA>한화호텔앤드리조트 주식회사2015-08-21 15:53:28I2018-08-31 23:59:59.0<NA>194632.526367446401.926526영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19870123<NA>
13180000CDFF521104199900000119990629<NA>3폐업3폐업<NA><NA><NA><NA>2678-1014<NA><NA>서울특별시 영등포구 영등포동3가 2번지서울특별시 영등포구 영등포로 256 (영등포동3가)<NA>연흥극장(1~3관, 5~7관)2010-07-14 16:56:26I2018-08-31 23:59:59.0<NA>191960.889845446273.110783영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990629<NA>
23180000CDFF521104200500000120050216<NA>3폐업3폐업20091217<NA><NA><NA>2633-7296<NA><NA>서울특별시 영등포구 영등포동3가 8-1번지서울특별시 영등포구 영중로8길 6 (영등포동3가)<NA>㈜에쉐르시네마2010-04-30 13:52:03I2018-08-31 23:59:59.0<NA>191650.262823446234.789726영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20050216<NA>
33180000CDFF521104200500000220050216<NA>3폐업3폐업20091218<NA><NA><NA>2633-7388<NA><NA>서울특별시 영등포구 영등포동3가 8-1번지서울특별시 영등포구 영중로8길 6 (영등포동3가)<NA>㈜에쉐르종합건설2010-04-30 13:52:03I2018-08-31 23:59:59.0<NA>191650.262823446234.789726영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20050216<NA>
43180000CDFF521104200500000320051010<NA>1영업/정상13영업중<NA><NA><NA><NA>2679-5300<NA><NA>서울특별시 영등포구 문래동3가 82-29번지 문래동우리벤처타운2 5-506, 507호서울특별시 영등포구 선유로 70 (문래동3가,문래동우리벤처타운2 5-506, 507호)<NA>㈜유진텍코퍼레이션2010-04-30 13:52:03I2018-08-31 23:59:59.0<NA>190217.705072446449.917569영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20051010<NA>
53180000CDFF521104200600000120060728<NA>3폐업3폐업20140331<NA><NA><NA>2678-6790<NA><NA>서울특별시 영등포구 영등포동6가 52-9번지서울특별시 영등포구 영신로42길 21 (영등포동6가)<NA>영휘프로덕션2014-03-31 21:02:07I2018-08-31 23:59:59.0<NA>191443.012551446609.110302영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20060728<NA>
63180000CDFF521104200700000120070911<NA>3폐업3폐업20140628<NA><NA><NA>02-572-7147<NA><NA>서울특별시 영등포구 문래동3가 55-16번지<NA><NA>인피니씨네마2014-12-26 10:47:59I2018-08-31 23:59:59.0<NA>191087.758954446157.437289영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20070911<NA>
73180000CDFF521104200900000220090615<NA>1영업/정상13영업중<NA><NA><NA><NA>02-784-0108<NA><NA>서울특별시 영등포구 여의도동 35번지 백상빌딩 614호서울특별시 영등포구 국제금융로6길 26 (여의도동,백상빌딩 614호)<NA>스타필름2010-04-30 13:52:03I2018-08-31 23:59:59.0<NA>193474.240829446636.663615영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20090615<NA>
83180000CDFF521104201100000120110420<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 44-24서울특별시 영등포구 여의대방로65길 20, 701호 (여의도동, 호성빌딩신관)7333주식회사 에이치에스이디2022-02-18 10:24:54U2022-02-20 02:40:00.0<NA>193694.665016446449.546193영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20110420<NA>
93180000CDFF521104201300000120130312<NA>1영업/정상13영업중<NA><NA><NA><NA>782-0087<NA><NA>서울특별시 영등포구 여의도동 28-3번지 여의도파크센터 A동 1902호서울특별시 영등포구 여의대로 8, A동 1902호 (여의도동)150881주식회사 매드폭스2013-03-12 13:37:07I2018-08-31 23:59:59.0<NA>192739.314354446552.469846영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20130312<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
113180000CDFF521104201400000220140627<NA>3폐업3폐업20160329<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동3가 13번지서울특별시 영등포구 양산로 57-5, 301호 (양평동3가, 이노플렉스)150103(주) 리키필름2017-11-23 10:39:36I2018-08-31 23:59:59.0<NA>190146.794442447018.198265영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20140627<NA>
123180000CDFF521104201400000320141015<NA>1영업/정상13영업중<NA><NA><NA><NA>3443-2574<NA><NA>서울특별시 영등포구 여의도동 45-18번지서울특별시 영등포구 국제금융로8길 27-3, 703호 (여의도동, 여의도빌딩)150891(주) 에이든컴퍼니2014-10-15 10:41:25I2018-08-31 23:59:59.0<NA>193617.653141446421.264723영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20141015<NA>
133180000CDFF521104201400000420141024<NA>3폐업3폐업20160714<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동2가 145번지 301호서울특별시 영등포구 버드나루로 1, 301호 (영등포동2가)150903(주) 제이제이스타즈2017-04-20 12:41:46I2018-08-31 23:59:59.0<NA>192165.352443446305.90413영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20141024<NA>
143180000CDFF521104201800000120180615<NA>3폐업3폐업20211006<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 14-21 엘지여의도에클라트 320호서울특별시 영등포구 국회대로 780, 엘지여의도에클라트 320호 (여의도동)7237주식회사 레인메이커필름2021-10-06 16:41:56U2021-10-08 02:40:00.0<NA>192785.997964447523.116512영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20180615<NA>
153180000CDFF521104201800000220180706<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2284-3911<NA><NA>서울특별시 영등포구 문래동5가 10번지 하우스디 비즈 612호서울특별시 영등포구 선유로3길 10, 하우스디 비즈 6층 610,611,612호 (문래동5가)7285주식회사 티브이씨씨2019-09-10 20:44:12U2019-09-12 02:40:00.0<NA>189921.671895445990.538307영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20180706<NA>
163180000CDFF521104201900000120190528<NA>1영업/정상13영업중<NA><NA><NA><NA>02-761-8836<NA><NA>서울특별시 영등포구 여의도동 44-24번지 15층서울특별시 영등포구 여의대방로65길 20, 15층 (여의도동)7333주식회사 데이드림엔터테인먼트2019-10-18 12:20:14U2019-10-20 02:40:00.0<NA>193694.665016446449.546193영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20190528<NA>
173180000CDFF521104202100000120210122<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6004-5007<NA><NA>서울특별시 영등포구 양평동6가 4-2서울특별시 영등포구 양평로30길 14, 807호 (양평동6가)7202주식회사 에픽캔2021-05-17 17:04:25U2021-05-19 02:40:00.0<NA>190153.128547448779.574543영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20210122<NA>
183180000CDFF521104202200000120210723<NA>1영업/정상13영업중<NA><NA><NA><NA>02-780-6907<NA><NA>서울특별시 영등포구 여의도동 44-35 제일빌딩서울특별시 영등포구 여의대방로 379, 제일빌딩 601호 (여의도동)7333주식회사 케이팝스타2022-04-06 12:38:27I2021-12-04 00:07:00.0<NA>193818.18014446332.089777<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193180000CDFF52110420230000012023-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3667-1189<NA><NA>서울특별시 영등포구 문래동2가 60-3 대철빌딩서울특별시 영등포구 도림로139길 2, 대철빌딩 4층 (문래동2가)7290주식회사 마나가네2023-02-28 09:36:20D2022-12-03 00:03:00.0<NA>190520.717179445830.11734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203180000CDFF52110420230000022023-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3667-1189<NA><NA>서울특별시 영등포구 문래동2가 60-3 대철빌딩서울특별시 영등포구 도림로139길 2, 대철빌딩 4층 (문래동2가)7290주식회사 마나가네2023-02-10 13:41:26I2022-12-01 23:02:00.0<NA>190520.717179445830.11734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>