Overview

Dataset statistics

Number of variables56
Number of observations382
Missing cells10673
Missing cells (%)49.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory182.9 KiB
Average record size in memory490.3 B

Variable types

Numeric5
Text6
DateTime4
Categorical16
Unsupported25

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16054/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (97.4%)Imbalance
폐업일자 has 289 (75.7%) missing valuesMissing
휴업시작일자 has 382 (100.0%) missing valuesMissing
휴업종료일자 has 382 (100.0%) missing valuesMissing
재개업일자 has 382 (100.0%) missing valuesMissing
전화번호 has 211 (55.2%) missing valuesMissing
소재지면적 has 382 (100.0%) missing valuesMissing
소재지우편번호 has 334 (87.4%) missing valuesMissing
도로명주소 has 25 (6.5%) missing valuesMissing
도로명우편번호 has 135 (35.3%) missing valuesMissing
업태구분명 has 382 (100.0%) missing valuesMissing
좌표정보(X) has 18 (4.7%) missing valuesMissing
좌표정보(Y) has 18 (4.7%) missing valuesMissing
문화사업자구분명 has 382 (100.0%) missing valuesMissing
주변환경명 has 382 (100.0%) missing valuesMissing
제작취급품목내용 has 382 (100.0%) missing valuesMissing
건물용도명 has 382 (100.0%) missing valuesMissing
비상계단여부 has 382 (100.0%) missing valuesMissing
비상구여부 has 382 (100.0%) missing valuesMissing
자동환기여부 has 382 (100.0%) missing valuesMissing
청소년실여부 has 382 (100.0%) missing valuesMissing
특수조명여부 has 382 (100.0%) missing valuesMissing
방음시설여부 has 382 (100.0%) missing valuesMissing
비디오재생기명 has 382 (100.0%) missing valuesMissing
조명시설유무 has 382 (100.0%) missing valuesMissing
음향시설여부 has 382 (100.0%) missing valuesMissing
편의시설여부 has 382 (100.0%) missing valuesMissing
소방시설여부 has 382 (100.0%) missing valuesMissing
기존게임업외업종명 has 382 (100.0%) missing valuesMissing
제공게임물명 has 382 (100.0%) missing valuesMissing
공연장형태구분명 has 382 (100.0%) missing valuesMissing
품목명 has 382 (100.0%) missing valuesMissing
최초등록시점 has 93 (24.3%) missing valuesMissing
지역구분명 has 382 (100.0%) missing valuesMissing
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 13:34:38.683923
Analysis finished2024-04-06 13:34:39.538433
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3127931.9
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-06T22:34:39.591362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13022500
median3140000
Q33220000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)197500

Descriptive statistics

Standard deviation85917.409
Coefficient of variation (CV)0.0274678
Kurtosis-1.5160515
Mean3127931.9
Median Absolute Deviation (MAD)80000
Skewness-0.30373644
Sum1.19487 × 109
Variance7.3818011 × 109
MonotonicityNot monotonic
2024-04-06T22:34:39.699046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 87
22.8%
3010000 42
11.0%
3000000 30
 
7.9%
3130000 27
 
7.1%
3210000 24
 
6.3%
3020000 24
 
6.3%
3180000 21
 
5.5%
3230000 13
 
3.4%
3170000 11
 
2.9%
3070000 11
 
2.9%
Other values (15) 92
24.1%
ValueCountFrequency (%)
3000000 30
7.9%
3010000 42
11.0%
3020000 24
6.3%
3030000 8
 
2.1%
3040000 9
 
2.4%
3050000 4
 
1.0%
3060000 2
 
0.5%
3070000 11
 
2.9%
3080000 3
 
0.8%
3090000 3
 
0.8%
ValueCountFrequency (%)
3240000 4
 
1.0%
3230000 13
 
3.4%
3220000 87
22.8%
3210000 24
 
6.3%
3200000 3
 
0.8%
3190000 8
 
2.1%
3180000 21
 
5.5%
3170000 11
 
2.9%
3160000 8
 
2.1%
3150000 11
 
2.9%

관리번호
Text

Distinct129
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-06T22:34:39.882449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7640
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

Unique61 ?
Unique (%)16.0%

Sample

1st rowCDFF5211042023000001
2nd rowCDFF5211042023000001
3rd rowCDFF5211042023000003
4th rowCDFF5211042014000006
5th rowCDFF5211042016000001
ValueCountFrequency (%)
cdff5211042023000001 12
 
3.1%
cdff5211042020000001 10
 
2.6%
cdff5211041999000001 10
 
2.6%
cdff5211042018000001 9
 
2.4%
cdff5211042007000001 9
 
2.4%
cdff5211042020000002 9
 
2.4%
cdff5211042009000001 9
 
2.4%
cdff5211042015000001 8
 
2.1%
cdff5211042008000001 8
 
2.1%
cdff5211042021000001 8
 
2.1%
Other values (119) 290
75.9%
2024-04-06T22:34:40.183715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2822
36.9%
1 1171
15.3%
2 943
 
12.3%
F 764
 
10.0%
4 435
 
5.7%
5 425
 
5.6%
C 382
 
5.0%
D 382
 
5.0%
9 103
 
1.3%
3 91
 
1.2%
Other values (3) 122
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6112
80.0%
Uppercase Letter 1528
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2822
46.2%
1 1171
19.2%
2 943
 
15.4%
4 435
 
7.1%
5 425
 
7.0%
9 103
 
1.7%
3 91
 
1.5%
7 47
 
0.8%
8 41
 
0.7%
6 34
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 764
50.0%
C 382
25.0%
D 382
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6112
80.0%
Latin 1528
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2822
46.2%
1 1171
19.2%
2 943
 
15.4%
4 435
 
7.1%
5 425
 
7.0%
9 103
 
1.7%
3 91
 
1.5%
7 47
 
0.8%
8 41
 
0.7%
6 34
 
0.6%
Latin
ValueCountFrequency (%)
F 764
50.0%
C 382
25.0%
D 382
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2822
36.9%
1 1171
15.3%
2 943
 
12.3%
F 764
 
10.0%
4 435
 
5.7%
5 425
 
5.6%
C 382
 
5.0%
D 382
 
5.0%
9 103
 
1.3%
3 91
 
1.2%
Other values (3) 122
 
1.6%

인허가일자
Date

Distinct332
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1987-01-23 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T22:34:40.318451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:34:40.452014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
381 
20230113
 
1

Length

Max length8
Median length4
Mean length4.0104712
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 381
99.7%
20230113 1
 
0.3%

Length

2024-04-06T22:34:40.570360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:40.662987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 381
99.7%
20230113 1
 
0.3%

영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
1
285 
3
81 
5
 
14
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 285
74.6%
3 81
 
21.2%
5 14
 
3.7%
4 2
 
0.5%

Length

2024-04-06T22:34:40.743700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:40.830770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 285
74.6%
3 81
 
21.2%
5 14
 
3.7%
4 2
 
0.5%

영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업/정상
285 
폐업
81 
제외/삭제/전출
 
14
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.5209424
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 285
74.6%
폐업 81
 
21.2%
제외/삭제/전출 14
 
3.7%
취소/말소/만료/정지/중지 2
 
0.5%

Length

2024-04-06T22:34:40.926110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:41.024281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 285
74.6%
폐업 81
 
21.2%
제외/삭제/전출 14
 
3.7%
취소/말소/만료/정지/중지 2
 
0.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
13
285 
3
81 
15
 
14
32
 
2

Length

Max length2
Median length2
Mean length1.7879581
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 285
74.6%
3 81
 
21.2%
15 14
 
3.7%
32 2
 
0.5%

Length

2024-04-06T22:34:41.130091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:41.223573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 285
74.6%
3 81
 
21.2%
15 14
 
3.7%
32 2
 
0.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업중
285 
폐업
81 
전출
 
14
신고취소
 
2

Length

Max length4
Median length3
Mean length2.7565445
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 285
74.6%
폐업 81
 
21.2%
전출 14
 
3.7%
신고취소 2
 
0.5%

Length

2024-04-06T22:34:41.567630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:41.660845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 285
74.6%
폐업 81
 
21.2%
전출 14
 
3.7%
신고취소 2
 
0.5%

폐업일자
Date

MISSING 

Distinct89
Distinct (%)95.7%
Missing289
Missing (%)75.7%
Memory size3.1 KiB
Minimum2003-12-31 00:00:00
Maximum2024-02-15 00:00:00
2024-04-06T22:34:41.760149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:34:41.876721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

전화번호
Text

MISSING 

Distinct163
Distinct (%)95.3%
Missing211
Missing (%)55.2%
Memory size3.1 KiB
2024-04-06T22:34:42.110648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.532164
Min length7

Characters and Unicode

Total characters1801
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)91.2%

Sample

1st row02-3667-1189
2nd row02-539-2902
3rd row070-4230-8676
4th row02-540-1637
5th row0234442002
ValueCountFrequency (%)
025842430 3
 
1.8%
02-3490-9300 2
 
1.2%
2001-8800 2
 
1.2%
482-8746 2
 
1.2%
02-3445-1393 2
 
1.2%
02-797-7589 2
 
1.2%
02-3667-1189 2
 
1.2%
2679-5300 1
 
0.6%
822-8500 1
 
0.6%
782-0087 1
 
0.6%
Other values (153) 153
89.5%
2024-04-06T22:34:42.471972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 303
16.8%
- 266
14.8%
2 221
12.3%
3 155
8.6%
7 152
8.4%
4 139
7.7%
6 124
6.9%
8 119
 
6.6%
5 117
 
6.5%
1 115
 
6.4%
Other values (3) 90
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1532
85.1%
Dash Punctuation 266
 
14.8%
Close Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 303
19.8%
2 221
14.4%
3 155
10.1%
7 152
9.9%
4 139
9.1%
6 124
8.1%
8 119
 
7.8%
5 117
 
7.6%
1 115
 
7.5%
9 87
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1801
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 303
16.8%
- 266
14.8%
2 221
12.3%
3 155
8.6%
7 152
8.4%
4 139
7.7%
6 124
6.9%
8 119
 
6.6%
5 117
 
6.5%
1 115
 
6.4%
Other values (3) 90
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 303
16.8%
- 266
14.8%
2 221
12.3%
3 155
8.6%
7 152
8.4%
4 139
7.7%
6 124
6.9%
8 119
 
6.6%
5 117
 
6.5%
1 115
 
6.4%
Other values (3) 90
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)91.7%
Missing334
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean133944.29
Minimum100012
Maximum158857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-06T22:34:42.602435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100012
5-th percentile100043
Q1110836
median138196.5
Q3153093.75
95-th percentile157902.1
Maximum158857
Range58845
Interquartile range (IQR)42257.75

Descriptive statistics

Standard deviation21180.442
Coefficient of variation (CV)0.15812874
Kurtosis-1.0686661
Mean133944.29
Median Absolute Deviation (MAD)15645.5
Skewness-0.57572995
Sum6429326
Variance4.4861114 × 108
MonotonicityNot monotonic
2024-04-06T22:34:42.718018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
100095 2
 
0.5%
136054 2
 
0.5%
135120 2
 
0.5%
156816 2
 
0.5%
138171 1
 
0.3%
138222 1
 
0.3%
158843 1
 
0.3%
157818 1
 
0.3%
157854 1
 
0.3%
134840 1
 
0.3%
Other values (34) 34
 
8.9%
(Missing) 334
87.4%
ValueCountFrequency (%)
100012 1
0.3%
100013 1
0.3%
100015 1
0.3%
100095 2
0.5%
100180 1
0.3%
100271 1
0.3%
100272 1
0.3%
100300 1
0.3%
100834 1
0.3%
110524 1
0.3%
ValueCountFrequency (%)
158857 1
0.3%
158843 1
0.3%
157928 1
0.3%
157854 1
0.3%
157818 1
0.3%
156849 1
0.3%
156816 2
0.5%
156810 1
0.3%
156713 1
0.3%
153862 1
0.3%

지번주소
Text

Distinct365
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-06T22:34:43.027737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37.5
Mean length25.921466
Min length15

Characters and Unicode

Total characters9902
Distinct characters323
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique350 ?
Unique (%)91.6%

Sample

1st row서울특별시 성북구 석관동 292-11
2nd row서울특별시 영등포구 문래동2가 60-3 대철빌딩
3rd row서울특별시 강남구 신사동 631-13
4th row서울특별시 강남구 신사동 532-1 대원빌딩지하2층
5th row서울특별시 마포구 합정동 433-12
ValueCountFrequency (%)
서울특별시 381
 
20.3%
강남구 87
 
4.6%
중구 42
 
2.2%
논현동 33
 
1.8%
종로구 30
 
1.6%
마포구 27
 
1.4%
용산구 24
 
1.3%
서초구 24
 
1.3%
영등포구 21
 
1.1%
신사동 18
 
1.0%
Other values (797) 1189
63.4%
2024-04-06T22:34:43.477270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1742
 
17.6%
서 446
 
4.5%
동 421
 
4.3%
1 403
 
4.1%
구 397
 
4.0%
시 388
 
3.9%
울 387
 
3.9%
특 381
 
3.8%
별 381
 
3.8%
- 307
 
3.1%
Other values (313) 4649
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5900
59.6%
Decimal Number 1847
 
18.7%
Space Separator 1742
 
17.6%
Dash Punctuation 307
 
3.1%
Uppercase Letter 71
 
0.7%
Lowercase Letter 15
 
0.2%
Other Punctuation 11
 
0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 446
 
7.6%
동 421
 
7.1%
구 397
 
6.7%
시 388
 
6.6%
울 387
 
6.6%
특 381
 
6.5%
별 381
 
6.5%
지 252
 
4.3%
번 238
 
4.0%
강 120
 
2.0%
Other values (265) 2489
42.2%
Uppercase Letter
ValueCountFrequency (%)
B 9
12.7%
S 8
11.3%
G 7
9.9%
K 7
9.9%
T 5
 
7.0%
H 4
 
5.6%
Y 4
 
5.6%
C 4
 
5.6%
I 4
 
5.6%
L 3
 
4.2%
Other values (11) 16
22.5%
Decimal Number
ValueCountFrequency (%)
1 403
21.8%
2 262
14.2%
3 205
11.1%
5 173
9.4%
4 166
9.0%
6 151
 
8.2%
0 139
 
7.5%
8 124
 
6.7%
7 117
 
6.3%
9 107
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
o 3
20.0%
r 3
20.0%
e 2
13.3%
l 2
13.3%
w 2
13.3%
n 1
 
6.7%
t 1
 
6.7%
i 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 6
54.5%
. 3
27.3%
/ 2
 
18.2%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
1742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5900
59.6%
Common 3914
39.5%
Latin 88
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 446
 
7.6%
동 421
 
7.1%
구 397
 
6.7%
시 388
 
6.6%
울 387
 
6.6%
특 381
 
6.5%
별 381
 
6.5%
지 252
 
4.3%
번 238
 
4.0%
강 120
 
2.0%
Other values (265) 2489
42.2%
Latin
ValueCountFrequency (%)
B 9
 
10.2%
S 8
 
9.1%
G 7
 
8.0%
K 7
 
8.0%
T 5
 
5.7%
H 4
 
4.5%
Y 4
 
4.5%
C 4
 
4.5%
I 4
 
4.5%
o 3
 
3.4%
Other values (21) 33
37.5%
Common
ValueCountFrequency (%)
1742
44.5%
1 403
 
10.3%
- 307
 
7.8%
2 262
 
6.7%
3 205
 
5.2%
5 173
 
4.4%
4 166
 
4.2%
6 151
 
3.9%
0 139
 
3.6%
8 124
 
3.2%
Other values (7) 242
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5900
59.6%
ASCII 4000
40.4%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1742
43.5%
1 403
 
10.1%
- 307
 
7.7%
2 262
 
6.6%
3 205
 
5.1%
5 173
 
4.3%
4 166
 
4.2%
6 151
 
3.8%
0 139
 
3.5%
8 124
 
3.1%
Other values (36) 328
 
8.2%
Hangul
ValueCountFrequency (%)
서 446
 
7.6%
동 421
 
7.1%
구 397
 
6.7%
시 388
 
6.6%
울 387
 
6.6%
특 381
 
6.5%
별 381
 
6.5%
지 252
 
4.3%
번 238
 
4.0%
강 120
 
2.0%
Other values (265) 2489
42.2%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅰ 1
50.0%

도로명주소
Text

MISSING 

Distinct342
Distinct (%)95.8%
Missing25
Missing (%)6.5%
Memory size3.1 KiB
2024-04-06T22:34:43.818677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length43
Mean length33.341737
Min length19

Characters and Unicode

Total characters11903
Distinct characters369
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique329 ?
Unique (%)92.2%

Sample

1st row서울특별시 성북구 돌곶이로8가길 32 (석관동)
2nd row서울특별시 영등포구 도림로139길 2, 대철빌딩 4층 (문래동2가)
3rd row서울특별시 강남구 언주로154길 10 (신사동)
4th row서울특별시 강남구 압구정로10길 9, 지하2층 (신사동, 대원빌딩)
5th row서울특별시 마포구 동교로 48-1, 3층 (합정동)
ValueCountFrequency (%)
서울특별시 357
 
16.0%
강남구 87
 
3.9%
중구 35
 
1.6%
종로구 29
 
1.3%
논현동 28
 
1.3%
마포구 26
 
1.2%
서초구 24
 
1.1%
용산구 20
 
0.9%
영등포구 20
 
0.9%
2층 19
 
0.8%
Other values (944) 1591
71.2%
2024-04-06T22:34:44.295945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1956
 
16.4%
동 442
 
3.7%
서 431
 
3.6%
로 418
 
3.5%
1 412
 
3.5%
구 381
 
3.2%
시 368
 
3.1%
) 363
 
3.0%
울 363
 
3.0%
( 362
 
3.0%
Other values (359) 6407
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6867
57.7%
Space Separator 1956
 
16.4%
Decimal Number 1868
 
15.7%
Close Punctuation 363
 
3.0%
Open Punctuation 362
 
3.0%
Other Punctuation 346
 
2.9%
Uppercase Letter 75
 
0.6%
Dash Punctuation 47
 
0.4%
Lowercase Letter 15
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 442
 
6.4%
서 431
 
6.3%
로 418
 
6.1%
구 381
 
5.5%
시 368
 
5.4%
울 363
 
5.3%
별 357
 
5.2%
특 357
 
5.2%
길 175
 
2.5%
층 141
 
2.1%
Other values (310) 3434
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 9
12.0%
B 9
12.0%
K 7
 
9.3%
G 7
 
9.3%
T 6
 
8.0%
I 5
 
6.7%
C 5
 
6.7%
E 3
 
4.0%
A 3
 
4.0%
L 3
 
4.0%
Other values (11) 18
24.0%
Decimal Number
ValueCountFrequency (%)
1 412
22.1%
2 307
16.4%
3 199
10.7%
0 196
10.5%
4 156
 
8.4%
5 154
 
8.2%
6 148
 
7.9%
8 117
 
6.3%
7 103
 
5.5%
9 76
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
r 3
20.0%
o 3
20.0%
w 2
13.3%
l 2
13.3%
e 2
13.3%
n 1
 
6.7%
i 1
 
6.7%
t 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 340
98.3%
. 4
 
1.2%
/ 2
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
1956
100.0%
Close Punctuation
ValueCountFrequency (%)
) 363
100.0%
Open Punctuation
ValueCountFrequency (%)
( 362
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6867
57.7%
Common 4944
41.5%
Latin 92
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 442
 
6.4%
서 431
 
6.3%
로 418
 
6.1%
구 381
 
5.5%
시 368
 
5.4%
울 363
 
5.3%
별 357
 
5.2%
특 357
 
5.2%
길 175
 
2.5%
층 141
 
2.1%
Other values (310) 3434
50.0%
Latin
ValueCountFrequency (%)
S 9
 
9.8%
B 9
 
9.8%
K 7
 
7.6%
G 7
 
7.6%
T 6
 
6.5%
I 5
 
5.4%
C 5
 
5.4%
E 3
 
3.3%
A 3
 
3.3%
r 3
 
3.3%
Other values (21) 35
38.0%
Common
ValueCountFrequency (%)
1956
39.6%
1 412
 
8.3%
) 363
 
7.3%
( 362
 
7.3%
, 340
 
6.9%
2 307
 
6.2%
3 199
 
4.0%
0 196
 
4.0%
4 156
 
3.2%
5 154
 
3.1%
Other values (8) 499
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6867
57.7%
ASCII 5034
42.3%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1956
38.9%
1 412
 
8.2%
) 363
 
7.2%
( 362
 
7.2%
, 340
 
6.8%
2 307
 
6.1%
3 199
 
4.0%
0 196
 
3.9%
4 156
 
3.1%
5 154
 
3.1%
Other values (37) 589
 
11.7%
Hangul
ValueCountFrequency (%)
동 442
 
6.4%
서 431
 
6.3%
로 418
 
6.1%
구 381
 
5.5%
시 368
 
5.4%
울 363
 
5.3%
별 357
 
5.2%
특 357
 
5.2%
길 175
 
2.5%
층 141
 
2.1%
Other values (310) 3434
50.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅰ 1
50.0%

도로명우편번호
Text

MISSING 

Distinct209
Distinct (%)84.6%
Missing135
Missing (%)35.3%
Memory size3.1 KiB
2024-04-06T22:34:44.609750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2753036
Min length5

Characters and Unicode

Total characters1303
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

Unique177 ?
Unique (%)71.7%

Sample

1st row02785
2nd row07290
3rd row06021
4th row135-888
5th row04021
ValueCountFrequency (%)
06524 4
 
1.6%
06028 3
 
1.2%
06044 3
 
1.2%
06601 3
 
1.2%
07333 3
 
1.2%
04373 2
 
0.8%
135812 2
 
0.8%
02785 2
 
0.8%
04781 2
 
0.8%
04559 2
 
0.8%
Other values (199) 221
89.5%
2024-04-06T22:34:45.053059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 303
23.3%
1 165
12.7%
5 126
9.7%
3 124
9.5%
6 113
 
8.7%
8 106
 
8.1%
4 105
 
8.1%
2 97
 
7.4%
7 92
 
7.1%
9 66
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1297
99.5%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 303
23.4%
1 165
12.7%
5 126
9.7%
3 124
9.6%
6 113
 
8.7%
8 106
 
8.2%
4 105
 
8.1%
2 97
 
7.5%
7 92
 
7.1%
9 66
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1303
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 303
23.3%
1 165
12.7%
5 126
9.7%
3 124
9.5%
6 113
 
8.7%
8 106
 
8.1%
4 105
 
8.1%
2 97
 
7.4%
7 92
 
7.1%
9 66
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1303
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 303
23.3%
1 165
12.7%
5 126
9.7%
3 124
9.5%
6 113
 
8.7%
8 106
 
8.1%
4 105
 
8.1%
2 97
 
7.4%
7 92
 
7.1%
9 66
 
5.1%

사업장명
Text

Distinct362
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-06T22:34:45.285897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length9.1989529
Min length2

Characters and Unicode

Total characters3514
Distinct characters401
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique343 ?
Unique (%)89.8%

Sample

1st row성스러운 영화사
2nd row주식회사 마나가네
3rd row(주)아스터개발 디아드아스턴갤리러지점
4th row(유)조이앤시네마
5th row(사)서울국제여성영화제
ValueCountFrequency (%)
주식회사 77
 
14.9%
주 7
 
1.4%
엘지아트센터 3
 
0.6%
영화사 3
 
0.6%
사단법인 3
 
0.6%
pixels 2
 
0.4%
커버넌트픽처스 2
 
0.4%
주)키노라이츠 2
 
0.4%
코탑미디어 2
 
0.4%
주)화이트픽셀(white 2
 
0.4%
Other values (393) 414
80.1%
2024-04-06T22:34:45.655621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 235
 
6.7%
) 188
 
5.4%
( 188
 
5.4%
136
 
3.9%
스 128
 
3.6%
이 115
 
3.3%
사 104
 
3.0%
회 87
 
2.5%
식 81
 
2.3%
트 69
 
2.0%
Other values (391) 2183
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2836
80.7%
Close Punctuation 188
 
5.4%
Open Punctuation 188
 
5.4%
Space Separator 136
 
3.9%
Uppercase Letter 66
 
1.9%
Lowercase Letter 44
 
1.3%
Other Symbol 30
 
0.9%
Decimal Number 16
 
0.5%
Other Punctuation 6
 
0.2%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 235
 
8.3%
스 128
 
4.5%
이 115
 
4.1%
사 104
 
3.7%
회 87
 
3.1%
식 81
 
2.9%
트 69
 
2.4%
네 54
 
1.9%
인 49
 
1.7%
마 46
 
1.6%
Other values (338) 1868
65.9%
Uppercase Letter
ValueCountFrequency (%)
E 10
15.2%
I 7
10.6%
A 6
9.1%
T 6
9.1%
P 5
 
7.6%
N 4
 
6.1%
M 4
 
6.1%
S 4
 
6.1%
H 3
 
4.5%
W 3
 
4.5%
Other values (8) 14
21.2%
Lowercase Letter
ValueCountFrequency (%)
o 5
11.4%
e 5
11.4%
t 5
11.4%
i 5
11.4%
s 4
9.1%
r 3
 
6.8%
k 2
 
4.5%
c 2
 
4.5%
u 2
 
4.5%
a 2
 
4.5%
Other values (8) 9
20.5%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
5 4
25.0%
3 3
18.8%
2 2
12.5%
7 1
 
6.2%
9 1
 
6.2%
4 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 2
33.3%
. 2
33.3%
& 1
16.7%
: 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Space Separator
ValueCountFrequency (%)
136
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2866
81.6%
Common 538
 
15.3%
Latin 110
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 235
 
8.2%
스 128
 
4.5%
이 115
 
4.0%
사 104
 
3.6%
회 87
 
3.0%
식 81
 
2.8%
트 69
 
2.4%
네 54
 
1.9%
인 49
 
1.7%
마 46
 
1.6%
Other values (339) 1898
66.2%
Latin
ValueCountFrequency (%)
E 10
 
9.1%
I 7
 
6.4%
A 6
 
5.5%
T 6
 
5.5%
o 5
 
4.5%
e 5
 
4.5%
P 5
 
4.5%
t 5
 
4.5%
i 5
 
4.5%
s 4
 
3.6%
Other values (26) 52
47.3%
Common
ValueCountFrequency (%)
) 188
34.9%
( 188
34.9%
136
25.3%
1 4
 
0.7%
5 4
 
0.7%
~ 3
 
0.6%
3 3
 
0.6%
2 2
 
0.4%
, 2
 
0.4%
. 2
 
0.4%
Other values (6) 6
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2836
80.7%
ASCII 648
 
18.4%
None 30
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 235
 
8.3%
스 128
 
4.5%
이 115
 
4.1%
사 104
 
3.7%
회 87
 
3.1%
식 81
 
2.9%
트 69
 
2.4%
네 54
 
1.9%
인 49
 
1.7%
마 46
 
1.6%
Other values (338) 1868
65.9%
ASCII
ValueCountFrequency (%)
) 188
29.0%
( 188
29.0%
136
21.0%
E 10
 
1.5%
I 7
 
1.1%
A 6
 
0.9%
T 6
 
0.9%
o 5
 
0.8%
e 5
 
0.8%
P 5
 
0.8%
Other values (42) 92
14.2%
None
ValueCountFrequency (%)
㈜ 30
100.0%

최종수정일자
Date

Distinct359
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2010-04-26 14:06:50
Maximum2024-04-03 10:35:31
2024-04-06T22:34:45.791701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:34:45.920021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
268 
U
112 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 268
70.2%
U 112
29.3%
D 2
 
0.5%

Length

2024-04-06T22:34:46.031830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:46.126944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 268
70.2%
u 112
29.3%
d 2
 
0.5%

데이터갱신일자
Date

Distinct161
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T22:34:46.235813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:34:46.374552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct318
Distinct (%)87.4%
Missing18
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean199131.64
Minimum182735.79
Maximum211161.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-06T22:34:46.516031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182735.79
5-th percentile189421.71
Q1195603.74
median199829.42
Q3202881.2
95-th percentile206844.95
Maximum211161.28
Range28425.488
Interquartile range (IQR)7277.4576

Descriptive statistics

Standard deviation5634.7477
Coefficient of variation (CV)0.028296596
Kurtosis-0.19991969
Mean199131.64
Median Absolute Deviation (MAD)3354.6853
Skewness-0.44982781
Sum72483919
Variance31750382
MonotonicityNot monotonic
2024-04-06T22:34:46.652326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201869.777642622 5
 
1.3%
201876.763775315 4
 
1.0%
193166.430144679 3
 
0.8%
197279.328436862 3
 
0.8%
201386.338220173 3
 
0.8%
199829.423596734 3
 
0.8%
202072.176572517 3
 
0.8%
198636.2503948 2
 
0.5%
197062.406516 2
 
0.5%
189575.815287955 2
 
0.5%
Other values (308) 334
87.4%
(Missing) 18
 
4.7%
ValueCountFrequency (%)
182735.786874703 1
0.3%
183340.03965069 1
0.3%
183593.440428788 1
0.3%
184290.893400642 1
0.3%
186357.984760281 1
0.3%
186877.265857696 1
0.3%
186966.036176588 1
0.3%
187109.421070788 1
0.3%
187267.110222169 1
0.3%
187381.316533948 1
0.3%
ValueCountFrequency (%)
211161.275058787 1
0.3%
211008.019335434 1
0.3%
210992.497270009 1
0.3%
210960.413495191 1
0.3%
210932.067547437 1
0.3%
210868.397496689 1
0.3%
210758.119119654 1
0.3%
209637.078215509 1
0.3%
209213.596479932 1
0.3%
209074.900840074 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct318
Distinct (%)87.4%
Missing18
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean448355.19
Minimum437280.57
Maximum462267.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-06T22:34:46.800390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437280.57
5-th percentile442059.36
Q1445651.07
median447300.37
Q3451263.56
95-th percentile456217.9
Maximum462267.88
Range24987.307
Interquartile range (IQR)5612.497

Descriptive statistics

Standard deviation4229.6256
Coefficient of variation (CV)0.0094336493
Kurtosis0.21467212
Mean448355.19
Median Absolute Deviation (MAD)3125.487
Skewness0.49303705
Sum1.6320129 × 108
Variance17889733
MonotonicityNot monotonic
2024-04-06T22:34:46.945541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446024.410215048 5
 
1.3%
446752.450886565 4
 
1.0%
450425.852790862 3
 
0.8%
451765.426505347 3
 
0.8%
443689.075119969 3
 
0.8%
451140.199847659 3
 
0.8%
445585.498649988 3
 
0.8%
451005.721641592 2
 
0.5%
451739.317426 2
 
0.5%
441503.181731081 2
 
0.5%
Other values (308) 334
87.4%
(Missing) 18
 
4.7%
ValueCountFrequency (%)
437280.574150819 1
0.3%
439958.443578701 1
0.3%
440511.561175378 2
0.5%
440753.993971457 1
0.3%
440973.983257815 1
0.3%
441229.110998601 1
0.3%
441342.660096623 2
0.5%
441500.545 1
0.3%
441503.181731081 2
0.5%
441654.010373182 1
0.3%
ValueCountFrequency (%)
462267.880823868 1
0.3%
461869.601761646 1
0.3%
461310.667794352 1
0.3%
460237.910640094 1
0.3%
460041.339536101 1
0.3%
459609.012509743 1
0.3%
458553.701339066 1
0.3%
458470.515716501 1
0.3%
457916.950344408 1
0.3%
457626.759229664 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영화상영업
289 
<NA>
93 

Length

Max length5
Median length5
Mean length4.7565445
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
영화상영업 289
75.7%
<NA> 93
 
24.3%

Length

2024-04-06T22:34:47.081974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:47.178690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 289
75.7%
na 93
 
24.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

총층수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
293 
0
89 

Length

Max length4
Median length4
Mean length3.3010471
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> 293
76.7%
0 89
 
23.3%

Length

2024-04-06T22:34:47.275191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:47.373156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
76.7%
0 89
 
23.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

시설면적
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
293 
0
89 

Length

Max length4
Median length4
Mean length3.3010471
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> 293
76.7%
0 89
 
23.3%

Length

2024-04-06T22:34:47.471313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:47.562177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
76.7%
0 89
 
23.3%

지상층수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
293 
0
89 

Length

Max length4
Median length4
Mean length3.3010471
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> 293
76.7%
0 89
 
23.3%

Length

2024-04-06T22:34:47.661102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:47.750734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
76.7%
0 89
 
23.3%

지하층수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
293 
0
89 

Length

Max length4
Median length4
Mean length3.3010471
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> 293
76.7%
0 89
 
23.3%

Length

2024-04-06T22:34:47.845547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:47.934609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
76.7%
0 89
 
23.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

통로너비
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
312 
0
70 

Length

Max length4
Median length4
Mean length3.4502618
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> 312
81.7%
0 70
 
18.3%

Length

2024-04-06T22:34:48.029846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:48.118480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
81.7%
0 70
 
18.3%

조명시설조도
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
312 
0
70 

Length

Max length4
Median length4
Mean length3.4502618
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> 312
81.7%
0 70
 
18.3%

Length

2024-04-06T22:34:48.210337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:48.301434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
81.7%
0 70
 
18.3%

노래방실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
312 
0
70 

Length

Max length4
Median length4
Mean length3.4502618
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> 312
81.7%
0 70
 
18.3%

Length

2024-04-06T22:34:48.402058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:48.495546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
81.7%
0 70
 
18.3%

청소년실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
312 
0
70 

Length

Max length4
Median length4
Mean length3.4502618
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> 312
81.7%
0 70
 
18.3%

Length

2024-04-06T22:34:48.590965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:48.689954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
81.7%
0 70
 
18.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
312 
0
70 

Length

Max length4
Median length4
Mean length3.4502618
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> 312
81.7%
0 70
 
18.3%

Length

2024-04-06T22:34:49.066379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:34:49.153265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
81.7%
0 70
 
18.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct265
Distinct (%)91.7%
Missing93
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean20099535
Minimum19870123
Maximum20211207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-06T22:34:49.252886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870123
5-th percentile19990713
Q120060118
median20100115
Q320150817
95-th percentile20200775
Maximum20211207
Range341084
Interquartile range (IQR)90699

Descriptive statistics

Standard deviation65778.524
Coefficient of variation (CV)0.003272639
Kurtosis-0.63196197
Mean20099535
Median Absolute Deviation (MAD)50391
Skewness-0.17025509
Sum5.8087657 × 109
Variance4.3268142 × 109
MonotonicityNot monotonic
2024-04-06T22:34:49.379820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070105 3
 
0.8%
20180723 3
 
0.8%
20090610 3
 
0.8%
20000720 2
 
0.5%
20050216 2
 
0.5%
19990713 2
 
0.5%
20080616 2
 
0.5%
19990706 2
 
0.5%
19990702 2
 
0.5%
20200611 2
 
0.5%
Other values (255) 266
69.6%
(Missing) 93
 
24.3%
ValueCountFrequency (%)
19870123 1
0.3%
19990519 2
0.5%
19990624 1
0.3%
19990629 2
0.5%
19990701 2
0.5%
19990702 2
0.5%
19990703 1
0.3%
19990706 2
0.5%
19990712 1
0.3%
19990713 2
0.5%
ValueCountFrequency (%)
20211207 1
0.3%
20211126 2
0.5%
20211021 1
0.3%
20210825 1
0.3%
20210617 1
0.3%
20210312 1
0.3%
20210122 1
0.3%
20210107 1
0.3%
20201116 1
0.3%
20201016 1
0.3%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing382
Missing (%)100.0%
Memory size3.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF52110420230000012023-06-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 292-11서울특별시 성북구 돌곶이로8가길 32 (석관동)02785성스러운 영화사2023-06-01 16:11:35I2022-12-06 00:03:00.0<NA>205353.077779456223.600878<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13180000CDFF52110420230000012023-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3667-1189<NA><NA>서울특별시 영등포구 문래동2가 60-3 대철빌딩서울특별시 영등포구 도림로139길 2, 대철빌딩 4층 (문래동2가)07290주식회사 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>
23220000CDFF52110420230000032023-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-539-2902<NA><NA>서울특별시 강남구 신사동 631-13서울특별시 강남구 언주로154길 10 (신사동)06021(주)아스터개발 디아드아스턴갤리러지점2023-03-02 13:59:44I2022-12-03 00:04:00.0<NA>202960.831024446757.421385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFF52110420140000062014-09-23<NA>3폐업3폐업2023-03-07<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 532-1 대원빌딩지하2층서울특별시 강남구 압구정로10길 9, 지하2층 (신사동, 대원빌딩)135-888(유)조이앤시네마2023-03-08 16:43:27U2022-12-02 23:00:00.0<NA>201876.763775446752.450887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43130000CDFF52110420160000012008-09-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 433-12서울특별시 마포구 동교로 48-1, 3층 (합정동)04021(사)서울국제여성영화제2023-03-27 09:31:57U2022-12-02 22:09:00.0<NA>191774.194654450064.132463<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53030000CDFF52110420200000012020-02-11<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4230-8676<NA><NA>서울특별시 성동구 성수동2가 315-61 성수역 SK V1 Tower서울특별시 성동구 연무장5가길 25, 성수역 SK V1 Tower 17층 1106호 1706호 (성수동2가)04782주식회사 알엔알2023-04-04 14:31:10U2022-12-04 00:06:00.0<NA>204847.846011449037.176697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFF52110420230000042023-06-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-540-1637<NA><NA>서울특별시 강남구 역삼동 816서울특별시 강남구 강남대로 422, 지하 3층 (역삼동)06129씨티극장2023-06-29 15:44:41I2022-12-07 00:01:00.0<NA>202310.311356444240.798283<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73080000CDFF52110420230000012009-09-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 535-22 스위트그린빌서울특별시 강북구 4.19로21길 28, 1동 지층 201호 (수유동, 스위트그린빌)01015(주)인디플러그2023-04-07 16:02:13I2022-12-04 00:09:00.0<NA>200489.247466460237.91064<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFF52110420110000042011-06-24<NA>1영업/정상13영업중<NA><NA><NA><NA>0234442002<NA><NA>서울특별시 강남구 논현동 25-11서울특별시 강남구 학동로11길 30 (논현동)06042(주)키이스트2023-12-12 17:04:22U2022-11-01 23:04:00.0<NA>202089.406753445779.483271<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93030000CDFF52110420230000012007-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3017-3486<NA><NA>서울특별시 성동구 성수동1가 656-335 메가박스 스퀘어서울특별시 성동구 왕십리로 50, 메가박스 스퀘어 6층 (성수동1가)04778메가박스중앙(주)2024-02-02 17:45:58U2023-12-02 00:04:00.0<NA>203903.353553448846.820249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3723230000CDFF521104202000000220200819<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 134-3서울특별시 송파구 동남로9길 18, 401호 (가락동)05826하이퍼테크2020-08-19 13:58:08I2020-08-21 00:23:14.0<NA>211161.275059443501.677336영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200819<NA>
3733230000CDFF521104201700000120170816<NA>4취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 78번지서울특별시 송파구 중대로 135, 1201호 (가락동, 아이티벤처타워)05717주식회사 정문픽쳐스2017-10-26 11:15:59I2018-08-31 23:59:59.0<NA>210758.11912443662.956402영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170816<NA>
3743240000CDFF521104199900000219990701<NA>3폐업3폐업20101101<NA><NA><NA>483-5425<NA><NA>서울특별시 강동구 성내동 48-1번지서울특별시 강동구 천호대로 1016 (성내동)134840(유)천보개발2011-10-30 14:25:21I2018-08-31 23:59:59.0<NA>210960.413495448403.019701영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990701<NA>
3753240000CDFF521104199900000119990629<NA>1영업/정상13영업중<NA><NA><NA><NA>473-1135<NA>134874서울특별시 강동구 천호동 425-17번지<NA><NA>천호시네마2010-04-30 14:03:29I2018-08-31 23:59:59.0<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990629<NA>
3763240000CDFF521104199900000319990702<NA>1영업/정상13영업중<NA><NA><NA><NA>482-8746<NA><NA>서울특별시 강동구 성내동 549-1번지서울특별시 강동구 성내로 48 (성내동)134851(주)씨네플랜2012-01-06 11:52:01I2018-08-31 23:59:59.0<NA>210992.49727447372.617183영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990702<NA>
3773240000CDFF521104200400000120040625<NA>1영업/정상13영업중<NA><NA><NA><NA>488-4811<NA>134840서울특별시 강동구 성내동 44-1번지<NA><NA>(주)씨네일레븐2010-04-30 14:16:16I2018-08-31 23:59:59.0<NA>211008.019335448270.500366영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040625<NA>
3783160000CDFF521104201900000120190124<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 197-48 에이스테크노타워Ⅲ서울특별시 구로구 디지털로29길 38, 에이스테크노타워Ⅲ 201호 (구로동)08381주식회사 언더식스티2022-05-06 10:16:01U2021-12-05 00:08:00.0<NA>190491.83306442477.332681<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3793220000CDFF52110420210000012021-06-15<NA>5제외/삭제/전출15전출2023-05-15<NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 467-18 우성캐릭터빌서울특별시 강남구 언주로 122, 우성캐릭터빌 6층 608호 (도곡동)06295(주)동아수출공사2023-05-15 13:54:45U2022-12-04 23:07:00.0<NA>204445.439339442766.115007<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3803000000CDFF52110420100000022009-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8145-3150<NA><NA>서울특별시 종로구 신문로1가 226 흥국생명빌딩서울특별시 종로구 새문안로 68, 흥국생명빌딩 9층 (신문로1가)03184(주)티캐스트2023-06-28 16:10:39U2022-12-05 21:00:00.0<NA>197482.20533451938.307925<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3813230000CDFF52110420200000012020-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 651 문정역테라타워서울특별시 송파구 송파대로 167, 문정역테라타워 에이동 1301호 (문정동)05855(주)영화사벌집2023-12-29 18:18:00U2022-11-01 21:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>