Overview

Dataset statistics

Number of variables56
Number of observations1390
Missing cells38920
Missing cells (%)50.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory665.3 KiB
Average record size in memory490.1 B

Variable types

Numeric5
Text7
DateTime3
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-16055/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (98.5%)Imbalance
영업상태코드 is highly imbalanced (52.6%)Imbalance
영업상태명 is highly imbalanced (52.6%)Imbalance
상세영업상태코드 is highly imbalanced (59.0%)Imbalance
상세영업상태명 is highly imbalanced (59.0%)Imbalance
폐업일자 has 1093 (78.6%) missing valuesMissing
휴업시작일자 has 1390 (100.0%) missing valuesMissing
휴업종료일자 has 1390 (100.0%) missing valuesMissing
재개업일자 has 1390 (100.0%) missing valuesMissing
전화번호 has 846 (60.9%) missing valuesMissing
소재지면적 has 1390 (100.0%) missing valuesMissing
소재지우편번호 has 1270 (91.4%) missing valuesMissing
도로명주소 has 77 (5.5%) missing valuesMissing
도로명우편번호 has 407 (29.3%) missing valuesMissing
업태구분명 has 1390 (100.0%) missing valuesMissing
좌표정보(X) has 73 (5.3%) missing valuesMissing
좌표정보(Y) has 73 (5.3%) missing valuesMissing
문화사업자구분명 has 1390 (100.0%) missing valuesMissing
주변환경명 has 1390 (100.0%) missing valuesMissing
제작취급품목내용 has 1390 (100.0%) missing valuesMissing
건물용도명 has 1390 (100.0%) missing valuesMissing
비상계단여부 has 1390 (100.0%) missing valuesMissing
비상구여부 has 1390 (100.0%) missing valuesMissing
자동환기여부 has 1390 (100.0%) missing valuesMissing
청소년실여부 has 1390 (100.0%) missing valuesMissing
특수조명여부 has 1390 (100.0%) missing valuesMissing
방음시설여부 has 1390 (100.0%) missing valuesMissing
비디오재생기명 has 1390 (100.0%) missing valuesMissing
조명시설유무 has 1390 (100.0%) missing valuesMissing
음향시설여부 has 1390 (100.0%) missing valuesMissing
편의시설여부 has 1390 (100.0%) missing valuesMissing
소방시설여부 has 1390 (100.0%) missing valuesMissing
기존게임업외업종명 has 1390 (100.0%) missing valuesMissing
제공게임물명 has 1390 (100.0%) missing valuesMissing
공연장형태구분명 has 1390 (100.0%) missing valuesMissing
품목명 has 1390 (100.0%) missing valuesMissing
최초등록시점 has 331 (23.8%) missing valuesMissing
지역구분명 has 1390 (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 started2024-05-11 07:38:51.661521
Analysis finished2024-05-11 07:38:55.119409
Duration3.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3143467.6
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-05-11T07:38:55.324703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13040000
median3180000
Q33220000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)180000

Descriptive statistics

Standard deviation86175.796
Coefficient of variation (CV)0.027414246
Kurtosis-1.2857319
Mean3143467.6
Median Absolute Deviation (MAD)40000
Skewness-0.61130592
Sum4.36942 × 109
Variance7.4262678 × 109
MonotonicityNot monotonic
2024-05-11T07:38:55.828751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 455
32.7%
3010000 154
 
11.1%
3130000 134
 
9.6%
3210000 128
 
9.2%
3000000 79
 
5.7%
3020000 73
 
5.3%
3180000 67
 
4.8%
3230000 45
 
3.2%
3030000 40
 
2.9%
3120000 29
 
2.1%
Other values (15) 186
13.4%
ValueCountFrequency (%)
3000000 79
5.7%
3010000 154
11.1%
3020000 73
5.3%
3030000 40
 
2.9%
3040000 17
 
1.2%
3050000 5
 
0.4%
3060000 4
 
0.3%
3070000 19
 
1.4%
3080000 7
 
0.5%
3090000 3
 
0.2%
ValueCountFrequency (%)
3240000 13
 
0.9%
3230000 45
 
3.2%
3220000 455
32.7%
3210000 128
 
9.2%
3200000 6
 
0.4%
3190000 19
 
1.4%
3180000 67
 
4.8%
3170000 22
 
1.6%
3160000 17
 
1.2%
3150000 24
 
1.7%
Distinct557
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-05-11T07:38:56.340075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters27800
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

Unique350 ?
Unique (%)25.2%

Sample

1st rowCDFF5211022023000006
2nd rowCDFF5211022014000031
3rd rowCDFF5211022022000002
4th rowCDFF5211022023000002
5th rowCDFF5211022018000011
ValueCountFrequency (%)
cdff5211022020000001 18
 
1.3%
cdff5211022019000001 17
 
1.2%
cdff5211022021000001 17
 
1.2%
cdff5211022022000001 17
 
1.2%
cdff5211022023000001 17
 
1.2%
cdff5211022018000001 15
 
1.1%
cdff5211022021000002 14
 
1.0%
cdff5211022023000002 14
 
1.0%
cdff5211022011000001 14
 
1.0%
cdff5211022016000001 13
 
0.9%
Other values (547) 1234
88.8%
2024-05-11T07:38:57.274436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9825
35.3%
2 4922
17.7%
1 4262
15.3%
F 2780
 
10.0%
5 1577
 
5.7%
C 1390
 
5.0%
D 1390
 
5.0%
3 390
 
1.4%
9 364
 
1.3%
4 271
 
1.0%
Other values (3) 629
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22240
80.0%
Uppercase Letter 5560
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9825
44.2%
2 4922
22.1%
1 4262
19.2%
5 1577
 
7.1%
3 390
 
1.8%
9 364
 
1.6%
4 271
 
1.2%
8 242
 
1.1%
7 200
 
0.9%
6 187
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 2780
50.0%
C 1390
25.0%
D 1390
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22240
80.0%
Latin 5560
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9825
44.2%
2 4922
22.1%
1 4262
19.2%
5 1577
 
7.1%
3 390
 
1.8%
9 364
 
1.6%
4 271
 
1.2%
8 242
 
1.1%
7 200
 
0.9%
6 187
 
0.8%
Latin
ValueCountFrequency (%)
F 2780
50.0%
C 1390
25.0%
D 1390
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9825
35.3%
2 4922
17.7%
1 4262
15.3%
F 2780
 
10.0%
5 1577
 
5.7%
C 1390
 
5.0%
D 1390
 
5.0%
3 390
 
1.4%
9 364
 
1.3%
4 271
 
1.0%
Other values (3) 629
 
2.3%
Distinct1126
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
Minimum1986-06-14 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T07:38:57.748797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:38:58.213371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1386 
20150226
 
1
20230113
 
1
20141230
 
1
20171016
 
1

Length

Max length8
Median length4
Mean length4.0115108
Min length4

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1386
99.7%
20150226 1
 
0.1%
20230113 1
 
0.1%
20141230 1
 
0.1%
20171016 1
 
0.1%

Length

2024-05-11T07:38:58.691783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:59.175611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1386
99.7%
20150226 1
 
0.1%
20230113 1
 
0.1%
20141230 1
 
0.1%
20171016 1
 
0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
1
1085 
3
235 
5
 
65
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1085
78.1%
3 235
 
16.9%
5 65
 
4.7%
4 5
 
0.4%

Length

2024-05-11T07:38:59.672745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:00.030346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1085
78.1%
3 235
 
16.9%
5 65
 
4.7%
4 5
 
0.4%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
영업/정상
1085 
폐업
235 
제외/삭제/전출
 
65
취소/말소/만료/정지/중지
 
5

Length

Max length14
Median length5
Mean length4.6654676
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1085
78.1%
폐업 235
 
16.9%
제외/삭제/전출 65
 
4.7%
취소/말소/만료/정지/중지 5
 
0.4%

Length

2024-05-11T07:39:00.549192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:00.927038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1085
78.1%
폐업 235
 
16.9%
제외/삭제/전출 65
 
4.7%
취소/말소/만료/정지/중지 5
 
0.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
13
1085 
3
235 
15
 
65
32
 
4
35
 
1

Length

Max length2
Median length2
Mean length1.8309353
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 1085
78.1%
3 235
 
16.9%
15 65
 
4.7%
32 4
 
0.3%
35 1
 
0.1%

Length

2024-05-11T07:39:01.347668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:01.710126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1085
78.1%
3 235
 
16.9%
15 65
 
4.7%
32 4
 
0.3%
35 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
영업중
1085 
폐업
235 
전출
 
65
신고취소
 
4
직권말소
 
1

Length

Max length4
Median length3
Mean length2.7877698
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1085
78.1%
폐업 235
 
16.9%
전출 65
 
4.7%
신고취소 4
 
0.3%
직권말소 1
 
0.1%

Length

2024-05-11T07:39:02.290122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:02.910674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1085
78.1%
폐업 235
 
16.9%
전출 65
 
4.7%
신고취소 4
 
0.3%
직권말소 1
 
0.1%

폐업일자
Text

MISSING 

Distinct271
Distinct (%)91.2%
Missing1093
Missing (%)78.6%
Memory size11.0 KiB
2024-05-11T07:39:04.030578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.4309764
Min length8

Characters and Unicode

Total characters2504
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

Unique247 ?
Unique (%)83.2%

Sample

1st row2023-03-08
2nd row2023-03-14
3rd row2024-02-23
4th row2023-03-22
5th row2024-01-02
ValueCountFrequency (%)
20161231 3
 
1.0%
9999-12-31 3
 
1.0%
20140108 2
 
0.7%
20200325 2
 
0.7%
20150331 2
 
0.7%
2023-12-06 2
 
0.7%
20141230 2
 
0.7%
20221207 2
 
0.7%
20211209 2
 
0.7%
20191231 2
 
0.7%
Other values (261) 275
92.6%
2024-05-11T07:39:05.746305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 708
28.3%
0 637
25.4%
1 458
18.3%
3 155
 
6.2%
- 128
 
5.1%
4 104
 
4.2%
9 68
 
2.7%
6 66
 
2.6%
7 65
 
2.6%
8 60
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2376
94.9%
Dash Punctuation 128
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 708
29.8%
0 637
26.8%
1 458
19.3%
3 155
 
6.5%
4 104
 
4.4%
9 68
 
2.9%
6 66
 
2.8%
7 65
 
2.7%
8 60
 
2.5%
5 55
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 708
28.3%
0 637
25.4%
1 458
18.3%
3 155
 
6.2%
- 128
 
5.1%
4 104
 
4.2%
9 68
 
2.7%
6 66
 
2.6%
7 65
 
2.6%
8 60
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 708
28.3%
0 637
25.4%
1 458
18.3%
3 155
 
6.2%
- 128
 
5.1%
4 104
 
4.2%
9 68
 
2.7%
6 66
 
2.6%
7 65
 
2.6%
8 60
 
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

전화번호
Text

MISSING 

Distinct520
Distinct (%)95.6%
Missing846
Missing (%)60.9%
Memory size11.0 KiB
2024-05-11T07:39:06.758249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.580882
Min length7

Characters and Unicode

Total characters5756
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

Unique497 ?
Unique (%)91.4%

Sample

1st row02-511-0821
2nd row02-2272-2945
3rd row0262735678
4th row02-471-7908
5th row02-6264-5400
ValueCountFrequency (%)
02-515-9234 3
 
0.6%
02-337-3838 2
 
0.4%
070-7017-3314 2
 
0.4%
070-7162-7015 2
 
0.4%
02-6320-8500 2
 
0.4%
2001-8800 2
 
0.4%
02-736-8898 2
 
0.4%
02-2266-2296 2
 
0.4%
744-4248 2
 
0.4%
02-6216-6000 2
 
0.4%
Other values (510) 523
96.1%
2024-05-11T07:39:08.772528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 893
15.5%
- 869
15.1%
2 755
13.1%
7 527
9.2%
3 512
8.9%
4 419
7.3%
5 414
7.2%
1 382
6.6%
6 370
6.4%
8 337
 
5.9%
Other values (3) 278
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4883
84.8%
Dash Punctuation 869
 
15.1%
Close Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 893
18.3%
2 755
15.5%
7 527
10.8%
3 512
10.5%
4 419
8.6%
5 414
8.5%
1 382
7.8%
6 370
7.6%
8 337
 
6.9%
9 274
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 869
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 893
15.5%
- 869
15.1%
2 755
13.1%
7 527
9.2%
3 512
8.9%
4 419
7.3%
5 414
7.2%
1 382
6.6%
6 370
6.4%
8 337
 
5.9%
Other values (3) 278
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 893
15.5%
- 869
15.1%
2 755
13.1%
7 527
9.2%
3 512
8.9%
4 419
7.3%
5 414
7.2%
1 382
6.6%
6 370
6.4%
8 337
 
5.9%
Other values (3) 278
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)71.7%
Missing1270
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean121524.52
Minimum100012
Maximum158860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-05-11T07:39:09.380499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100012
5-th percentile100013
Q1100265.75
median115474.5
Q3137775.75
95-th percentile157074.45
Maximum158860
Range58848
Interquartile range (IQR)37510

Descriptive statistics

Standard deviation20810.245
Coefficient of variation (CV)0.17124318
Kurtosis-1.3368555
Mean121524.52
Median Absolute Deviation (MAD)15460.5
Skewness0.37800779
Sum14582942
Variance4.330663 × 108
MonotonicityNot monotonic
2024-05-11T07:39:09.824672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100013 6
 
0.4%
135120 4
 
0.3%
140210 4
 
0.3%
100271 4
 
0.3%
100032 3
 
0.2%
100014 3
 
0.2%
140013 3
 
0.2%
100300 2
 
0.1%
135011 2
 
0.1%
140120 2
 
0.1%
Other values (76) 87
 
6.3%
(Missing) 1270
91.4%
ValueCountFrequency (%)
100012 2
 
0.1%
100013 6
0.4%
100014 3
0.2%
100015 1
 
0.1%
100031 2
 
0.1%
100032 3
0.2%
100043 1
 
0.1%
100093 1
 
0.1%
100095 1
 
0.1%
100120 2
 
0.1%
ValueCountFrequency (%)
158860 1
0.1%
158814 1
0.1%
158715 1
0.1%
158073 1
0.1%
157928 1
0.1%
157862 1
0.1%
157033 1
0.1%
156854 1
0.1%
156827 1
0.1%
156816 1
0.1%
Distinct1140
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-05-11T07:39:10.765764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length26.511511
Min length13

Characters and Unicode

Total characters36851
Distinct characters447
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

Unique1007 ?
Unique (%)72.4%

Sample

1st row서울특별시 강남구 논현동 **-** 넥서스빌딩
2nd row서울특별시 강남구 신사동 ***-* 대원빌딩지하*층
3rd row서울특별시 마포구 상암동 **** 상암 오벨리스크 *차
4th row서울특별시 서초구 방배동 ***-* 용진빌딩
5th row서울특별시 마포구 서교동 ***-**
ValueCountFrequency (%)
서울특별시 1388
19.9%
번지 863
 
12.4%
484
 
6.9%
강남구 455
 
6.5%
251
 
3.6%
192
 
2.8%
논현동 185
 
2.7%
중구 154
 
2.2%
마포구 134
 
1.9%
서초구 129
 
1.9%
Other values (985) 2733
39.2%
2024-05-11T07:39:12.480261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6818
18.5%
6489
17.6%
1688
 
4.6%
1488
 
4.0%
1448
 
3.9%
1404
 
3.8%
1402
 
3.8%
1389
 
3.8%
1388
 
3.8%
- 1101
 
3.0%
Other values (437) 12236
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22017
59.7%
Other Punctuation 6831
 
18.5%
Space Separator 6489
 
17.6%
Dash Punctuation 1101
 
3.0%
Uppercase Letter 245
 
0.7%
Lowercase Letter 71
 
0.2%
Decimal Number 67
 
0.2%
Close Punctuation 14
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1688
 
7.7%
1488
 
6.8%
1448
 
6.6%
1404
 
6.4%
1402
 
6.4%
1389
 
6.3%
1388
 
6.3%
933
 
4.2%
867
 
3.9%
551
 
2.5%
Other values (376) 9459
43.0%
Uppercase Letter
ValueCountFrequency (%)
C 27
 
11.0%
M 22
 
9.0%
S 21
 
8.6%
B 20
 
8.2%
D 19
 
7.8%
E 16
 
6.5%
A 15
 
6.1%
T 13
 
5.3%
R 11
 
4.5%
L 10
 
4.1%
Other values (14) 71
29.0%
Lowercase Letter
ValueCountFrequency (%)
e 13
18.3%
r 9
12.7%
o 8
11.3%
i 7
9.9%
t 6
8.5%
n 5
 
7.0%
w 5
 
7.0%
l 4
 
5.6%
a 3
 
4.2%
h 2
 
2.8%
Other values (7) 9
12.7%
Decimal Number
ValueCountFrequency (%)
8 11
16.4%
2 11
16.4%
1 10
14.9%
6 8
11.9%
7 6
9.0%
3 6
9.0%
4 4
 
6.0%
5 4
 
6.0%
9 4
 
6.0%
0 3
 
4.5%
Other Punctuation
ValueCountFrequency (%)
* 6818
99.8%
, 9
 
0.1%
. 3
 
< 0.1%
/ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
6489
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22017
59.7%
Common 14516
39.4%
Latin 318
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1688
 
7.7%
1488
 
6.8%
1448
 
6.6%
1404
 
6.4%
1402
 
6.4%
1389
 
6.3%
1388
 
6.3%
933
 
4.2%
867
 
3.9%
551
 
2.5%
Other values (376) 9459
43.0%
Latin
ValueCountFrequency (%)
C 27
 
8.5%
M 22
 
6.9%
S 21
 
6.6%
B 20
 
6.3%
D 19
 
6.0%
E 16
 
5.0%
A 15
 
4.7%
e 13
 
4.1%
T 13
 
4.1%
R 11
 
3.5%
Other values (33) 141
44.3%
Common
ValueCountFrequency (%)
* 6818
47.0%
6489
44.7%
- 1101
 
7.6%
) 14
 
0.1%
( 14
 
0.1%
8 11
 
0.1%
2 11
 
0.1%
1 10
 
0.1%
, 9
 
0.1%
6 8
 
0.1%
Other values (8) 31
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22017
59.7%
ASCII 14832
40.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6818
46.0%
6489
43.8%
- 1101
 
7.4%
C 27
 
0.2%
M 22
 
0.1%
S 21
 
0.1%
B 20
 
0.1%
D 19
 
0.1%
E 16
 
0.1%
A 15
 
0.1%
Other values (49) 284
 
1.9%
Hangul
ValueCountFrequency (%)
1688
 
7.7%
1488
 
6.8%
1448
 
6.6%
1404
 
6.4%
1402
 
6.4%
1389
 
6.3%
1388
 
6.3%
933
 
4.2%
867
 
3.9%
551
 
2.5%
Other values (376) 9459
43.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명주소
Text

MISSING 

Distinct1210
Distinct (%)92.2%
Missing77
Missing (%)5.5%
Memory size11.0 KiB
2024-05-11T07:39:13.250707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length53
Mean length35.132521
Min length22

Characters and Unicode

Total characters46129
Distinct characters485
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

Unique1130 ?
Unique (%)86.1%

Sample

1st row서울특별시 강남구 언주로***길 **-*, 넥서스빌딩 *층 (논현동)
2nd row서울특별시 강남구 압구정로**길 *, 지하*층 (신사동, 대원빌딩)
3rd row서울특별시 마포구 월드컵북로 ***, 상암 오벨리스크 *차 *층 *-***호 (상암동)
4th row서울특별시 서초구 동작대로 **, 용진빌딩 *층 ***호 (방배동)
5th row서울특별시 마포구 독막로*길 *-*, *층 (서교동)
ValueCountFrequency (%)
서울특별시 1313
 
15.3%
1311
 
15.2%
553
 
6.4%
489
 
5.7%
강남구 415
 
4.8%
중구 139
 
1.6%
서초구 129
 
1.5%
마포구 127
 
1.5%
논현동 110
 
1.3%
종로구 78
 
0.9%
Other values (1532) 3933
45.7%
2024-05-11T07:39:14.614955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 7633
 
16.5%
7555
 
16.4%
1672
 
3.6%
1604
 
3.5%
1479
 
3.2%
, 1475
 
3.2%
1391
 
3.0%
1335
 
2.9%
( 1334
 
2.9%
) 1334
 
2.9%
Other values (475) 19317
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26099
56.6%
Other Punctuation 9115
 
19.8%
Space Separator 7555
 
16.4%
Open Punctuation 1334
 
2.9%
Close Punctuation 1334
 
2.9%
Uppercase Letter 277
 
0.6%
Dash Punctuation 227
 
0.5%
Decimal Number 109
 
0.2%
Lowercase Letter 71
 
0.2%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1672
 
6.4%
1604
 
6.1%
1479
 
5.7%
1391
 
5.3%
1335
 
5.1%
1329
 
5.1%
1314
 
5.0%
1313
 
5.0%
713
 
2.7%
671
 
2.6%
Other values (413) 13278
50.9%
Uppercase Letter
ValueCountFrequency (%)
B 32
11.6%
C 27
 
9.7%
S 23
 
8.3%
A 22
 
7.9%
E 18
 
6.5%
M 18
 
6.5%
T 18
 
6.5%
D 16
 
5.8%
R 13
 
4.7%
L 12
 
4.3%
Other values (14) 78
28.2%
Lowercase Letter
ValueCountFrequency (%)
e 13
18.3%
r 9
12.7%
o 8
11.3%
i 6
8.5%
n 5
 
7.0%
t 5
 
7.0%
w 5
 
7.0%
l 4
 
5.6%
a 3
 
4.2%
c 3
 
4.2%
Other values (7) 10
14.1%
Decimal Number
ValueCountFrequency (%)
1 33
30.3%
0 16
14.7%
2 14
12.8%
5 9
 
8.3%
4 8
 
7.3%
6 8
 
7.3%
3 7
 
6.4%
8 6
 
5.5%
7 6
 
5.5%
9 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
* 7633
83.7%
, 1475
 
16.2%
. 6
 
0.1%
/ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
7555
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1334
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 227
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26099
56.6%
Common 19680
42.7%
Latin 350
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1672
 
6.4%
1604
 
6.1%
1479
 
5.7%
1391
 
5.3%
1335
 
5.1%
1329
 
5.1%
1314
 
5.0%
1313
 
5.0%
713
 
2.7%
671
 
2.6%
Other values (413) 13278
50.9%
Latin
ValueCountFrequency (%)
B 32
 
9.1%
C 27
 
7.7%
S 23
 
6.6%
A 22
 
6.3%
E 18
 
5.1%
M 18
 
5.1%
T 18
 
5.1%
D 16
 
4.6%
e 13
 
3.7%
R 13
 
3.7%
Other values (33) 150
42.9%
Common
ValueCountFrequency (%)
* 7633
38.8%
7555
38.4%
, 1475
 
7.5%
( 1334
 
6.8%
) 1334
 
6.8%
- 227
 
1.2%
1 33
 
0.2%
0 16
 
0.1%
2 14
 
0.1%
5 9
 
< 0.1%
Other values (9) 50
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26099
56.6%
ASCII 20028
43.4%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 7633
38.1%
7555
37.7%
, 1475
 
7.4%
( 1334
 
6.7%
) 1334
 
6.7%
- 227
 
1.1%
1 33
 
0.2%
B 32
 
0.2%
C 27
 
0.1%
S 23
 
0.1%
Other values (50) 355
 
1.8%
Hangul
ValueCountFrequency (%)
1672
 
6.4%
1604
 
6.1%
1479
 
5.7%
1391
 
5.3%
1335
 
5.1%
1329
 
5.1%
1314
 
5.0%
1313
 
5.0%
713
 
2.7%
671
 
2.6%
Other values (413) 13278
50.9%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명우편번호
Text

MISSING 

Distinct649
Distinct (%)66.0%
Missing407
Missing (%)29.3%
Memory size11.0 KiB
2024-05-11T07:39:15.501707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2756867
Min length5

Characters and Unicode

Total characters5186
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

Unique472 ?
Unique (%)48.0%

Sample

1st row06049
2nd row135-888
3rd row03902
4th row06677
5th row04048
ValueCountFrequency (%)
06040 9
 
0.9%
05854 9
 
0.9%
06524 8
 
0.8%
06097 8
 
0.8%
03908 7
 
0.7%
06017 7
 
0.7%
06049 6
 
0.6%
03925 6
 
0.6%
06103 5
 
0.5%
03619 5
 
0.5%
Other values (639) 913
92.9%
2024-05-11T07:39:17.006032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1268
24.5%
1 660
12.7%
3 569
11.0%
6 508
9.8%
5 466
 
9.0%
4 385
 
7.4%
7 348
 
6.7%
2 340
 
6.6%
8 321
 
6.2%
9 311
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5176
99.8%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1268
24.5%
1 660
12.8%
3 569
11.0%
6 508
9.8%
5 466
 
9.0%
4 385
 
7.4%
7 348
 
6.7%
2 340
 
6.6%
8 321
 
6.2%
9 311
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5186
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1268
24.5%
1 660
12.7%
3 569
11.0%
6 508
9.8%
5 466
 
9.0%
4 385
 
7.4%
7 348
 
6.7%
2 340
 
6.6%
8 321
 
6.2%
9 311
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5186
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1268
24.5%
1 660
12.7%
3 569
11.0%
6 508
9.8%
5 466
 
9.0%
4 385
 
7.4%
7 348
 
6.7%
2 340
 
6.6%
8 321
 
6.2%
9 311
 
6.0%
Distinct1319
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-05-11T07:39:17.811469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length9.4302158
Min length2

Characters and Unicode

Total characters13108
Distinct characters594
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

Unique1257 ?
Unique (%)90.4%

Sample

1st row쇼트케이크 주식회사
2nd row(유)조이앤시네마
3rd row주식회사 큐앤미디어
4th row주식회사 브라더미디어
5th row(주)영화사오원
ValueCountFrequency (%)
주식회사 286
 
15.5%
21
 
1.1%
유한회사 11
 
0.6%
영화사 10
 
0.5%
필름 8
 
0.4%
픽쳐스 7
 
0.4%
pictures 5
 
0.3%
엔터테인먼트 5
 
0.3%
ltd 4
 
0.2%
안다미로 4
 
0.2%
Other values (1383) 1480
80.4%
2024-05-11T07:39:19.136479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
982
 
7.5%
) 733
 
5.6%
( 732
 
5.6%
544
 
4.2%
452
 
3.4%
447
 
3.4%
400
 
3.1%
322
 
2.5%
314
 
2.4%
298
 
2.3%
Other values (584) 7884
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10633
81.1%
Close Punctuation 733
 
5.6%
Open Punctuation 732
 
5.6%
Space Separator 452
 
3.4%
Lowercase Letter 192
 
1.5%
Uppercase Letter 174
 
1.3%
Other Symbol 156
 
1.2%
Other Punctuation 26
 
0.2%
Decimal Number 8
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
982
 
9.2%
544
 
5.1%
447
 
4.2%
400
 
3.8%
322
 
3.0%
314
 
3.0%
298
 
2.8%
253
 
2.4%
232
 
2.2%
210
 
2.0%
Other values (523) 6631
62.4%
Uppercase Letter
ValueCountFrequency (%)
C 20
 
11.5%
E 16
 
9.2%
L 16
 
9.2%
I 13
 
7.5%
P 11
 
6.3%
D 10
 
5.7%
A 9
 
5.2%
M 9
 
5.2%
S 9
 
5.2%
N 7
 
4.0%
Other values (14) 54
31.0%
Lowercase Letter
ValueCountFrequency (%)
e 29
15.1%
t 23
12.0%
o 19
9.9%
n 17
8.9%
r 17
8.9%
a 16
8.3%
i 15
7.8%
s 11
 
5.7%
d 9
 
4.7%
c 7
 
3.6%
Other values (11) 29
15.1%
Decimal Number
ValueCountFrequency (%)
4 2
25.0%
5 1
12.5%
1 1
12.5%
0 1
12.5%
3 1
12.5%
7 1
12.5%
8 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 16
61.5%
& 5
 
19.2%
, 5
 
19.2%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 733
100.0%
Open Punctuation
ValueCountFrequency (%)
( 732
100.0%
Space Separator
ValueCountFrequency (%)
452
100.0%
Other Symbol
ValueCountFrequency (%)
156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10789
82.3%
Common 1953
 
14.9%
Latin 366
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
982
 
9.1%
544
 
5.0%
447
 
4.1%
400
 
3.7%
322
 
3.0%
314
 
2.9%
298
 
2.8%
253
 
2.3%
232
 
2.2%
210
 
1.9%
Other values (524) 6787
62.9%
Latin
ValueCountFrequency (%)
e 29
 
7.9%
t 23
 
6.3%
C 20
 
5.5%
o 19
 
5.2%
n 17
 
4.6%
r 17
 
4.6%
E 16
 
4.4%
L 16
 
4.4%
a 16
 
4.4%
i 15
 
4.1%
Other values (35) 178
48.6%
Common
ValueCountFrequency (%)
) 733
37.5%
( 732
37.5%
452
23.1%
. 16
 
0.8%
& 5
 
0.3%
, 5
 
0.3%
4 2
 
0.1%
> 1
 
0.1%
< 1
 
0.1%
5 1
 
0.1%
Other values (5) 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10633
81.1%
ASCII 2319
 
17.7%
None 156
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
982
 
9.2%
544
 
5.1%
447
 
4.2%
400
 
3.8%
322
 
3.0%
314
 
3.0%
298
 
2.8%
253
 
2.4%
232
 
2.2%
210
 
2.0%
Other values (523) 6631
62.4%
ASCII
ValueCountFrequency (%)
) 733
31.6%
( 732
31.6%
452
19.5%
e 29
 
1.3%
t 23
 
1.0%
C 20
 
0.9%
o 19
 
0.8%
n 17
 
0.7%
r 17
 
0.7%
E 16
 
0.7%
Other values (50) 261
 
11.3%
None
ValueCountFrequency (%)
156
100.0%
Distinct1274
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
Minimum2010-04-26 14:07:20
Maximum2024-05-07 16:35:30
2024-05-11T07:39:19.627656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:39:20.222048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
I
1023 
U
366 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 1023
73.6%
U 366
 
26.3%
D 1
 
0.1%

Length

2024-05-11T07:39:20.819569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:21.182142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1023
73.6%
u 366
 
26.3%
d 1
 
0.1%
Distinct493
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T07:39:21.530118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:39:22.000795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1069
Distinct (%)81.2%
Missing73
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean199672.92
Minimum183758
Maximum215361.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-05-11T07:39:22.492423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183758
5-th percentile190141.03
Q1196683.47
median201023.86
Q3203040.72
95-th percentile207137.36
Maximum215361.02
Range31603.022
Interquartile range (IQR)6357.2528

Descriptive statistics

Standard deviation5274.0393
Coefficient of variation (CV)0.026413393
Kurtosis0.012735643
Mean199672.92
Median Absolute Deviation (MAD)2609.0164
Skewness-0.4207288
Sum2.6296923 × 108
Variance27815491
MonotonicityNot monotonic
2024-05-11T07:39:22.953828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210627.0 6
 
0.4%
202233.376703439 6
 
0.4%
199101.132483391 6
 
0.4%
202494.429240138 5
 
0.4%
193326.931018911 5
 
0.4%
190335.496775957 5
 
0.4%
199393.748061831 4
 
0.3%
202502.111899175 4
 
0.3%
199298.907451279 4
 
0.3%
198306.905839189 4
 
0.3%
Other values (1059) 1268
91.2%
(Missing) 73
 
5.3%
ValueCountFrequency (%)
183758.0 1
0.1%
184290.893400642 1
0.1%
184383.220247235 1
0.1%
184655.264279055 1
0.1%
184687.894682539 1
0.1%
184865.68815993 2
0.1%
185365.0 1
0.1%
185761.660901387 1
0.1%
185894.465651355 1
0.1%
185955.038210344 1
0.1%
ValueCountFrequency (%)
215361.022179888 1
0.1%
213749.851091244 1
0.1%
213594.658173559 1
0.1%
212965.180856621 1
0.1%
212711.714410254 1
0.1%
212563.467295777 1
0.1%
212528.523010073 1
0.1%
211986.297245596 1
0.1%
211896.331971303 1
0.1%
211520.403716095 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1069
Distinct (%)81.2%
Missing73
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean447825.84
Minimum440363.95
Maximum464814.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-05-11T07:39:23.807633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440363.95
5-th percentile442392.65
Q1445323.66
median446836
Q3450928.29
95-th percentile453636.96
Maximum464814.72
Range24450.763
Interquartile range (IQR)5604.6314

Descriptive statistics

Standard deviation3773.2215
Coefficient of variation (CV)0.008425645
Kurtosis0.43277653
Mean447825.84
Median Absolute Deviation (MAD)2763.225
Skewness0.5945727
Sum5.8978663 × 108
Variance14237201
MonotonicityNot monotonic
2024-05-11T07:39:24.485571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442875.0 6
 
0.4%
446247.902496745 6
 
0.4%
451111.22018454 6
 
0.4%
445871.873786171 5
 
0.4%
446973.914570276 5
 
0.4%
452758.642764785 5
 
0.4%
451020.317219361 4
 
0.3%
446464.940373234 4
 
0.3%
450999.189428486 4
 
0.3%
451808.098341971 4
 
0.3%
Other values (1059) 1268
91.2%
(Missing) 73
 
5.3%
ValueCountFrequency (%)
440363.954453659 1
0.1%
440521.85524888 1
0.1%
440609.342128829 1
0.1%
440693.311634096 1
0.1%
440753.993971457 1
0.1%
440764.426277932 1
0.1%
440963.759050916 1
0.1%
441010.052948731 1
0.1%
441057.177316052 1
0.1%
441127.322443807 1
0.1%
ValueCountFrequency (%)
464814.717432497 1
0.1%
463579.872056086 1
0.1%
462643.124805593 1
0.1%
462123.008334776 1
0.1%
461736.71535014 1
0.1%
460373.34025965 1
0.1%
460237.910640094 2
0.1%
459966.011101941 1
0.1%
459167.379925637 1
0.1%
458882.81205101 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
영화수입업
1059 
<NA>
331 

Length

Max length5
Median length5
Mean length4.7618705
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 (%)
영화수입업 1059
76.2%
<NA> 331
 
23.8%

Length

2024-05-11T07:39:25.022246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:25.714050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 1059
76.2%
na 331
 
23.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

총층수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1069 
0
321 

Length

Max length4
Median length4
Mean length3.3071942
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> 1069
76.9%
0 321
 
23.1%

Length

2024-05-11T07:39:26.357208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:26.784500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1069
76.9%
0 321
 
23.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

시설면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1069 
0
321 

Length

Max length4
Median length4
Mean length3.3071942
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> 1069
76.9%
0 321
 
23.1%

Length

2024-05-11T07:39:27.224293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:27.548301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1069
76.9%
0 321
 
23.1%

지상층수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1069 
0
321 

Length

Max length4
Median length4
Mean length3.3071942
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> 1069
76.9%
0 321
 
23.1%

Length

2024-05-11T07:39:27.958231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:28.452292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1069
76.9%
0 321
 
23.1%

지하층수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1069 
0
321 

Length

Max length4
Median length4
Mean length3.3071942
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> 1069
76.9%
0 321
 
23.1%

Length

2024-05-11T07:39:28.791744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:29.187139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1069
76.9%
0 321
 
23.1%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

통로너비
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1179 
0
211 

Length

Max length4
Median length4
Mean length3.5446043
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> 1179
84.8%
0 211
 
15.2%

Length

2024-05-11T07:39:29.613509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:30.011341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
84.8%
0 211
 
15.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1179 
0
211 

Length

Max length4
Median length4
Mean length3.5446043
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> 1179
84.8%
0 211
 
15.2%

Length

2024-05-11T07:39:30.557288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:31.085890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
84.8%
0 211
 
15.2%

노래방실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1179 
0
211 

Length

Max length4
Median length4
Mean length3.5446043
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> 1179
84.8%
0 211
 
15.2%

Length

2024-05-11T07:39:31.502957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:31.947419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
84.8%
0 211
 
15.2%

청소년실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1179 
0
211 

Length

Max length4
Median length4
Mean length3.5446043
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> 1179
84.8%
0 211
 
15.2%

Length

2024-05-11T07:39:32.455904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:32.906731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
84.8%
0 211
 
15.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1179 
0
211 

Length

Max length4
Median length4
Mean length3.5446043
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> 1179
84.8%
0 211
 
15.2%

Length

2024-05-11T07:39:33.434206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:39:33.854455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1179
84.8%
0 211
 
15.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct902
Distinct (%)85.2%
Missing331
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean20109612
Minimum19860614
Maximum20220307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-05-11T07:39:34.499641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19860614
5-th percentile19990826
Q120080412
median20111226
Q320160222
95-th percentile20200722
Maximum20220307
Range359693
Interquartile range (IQR)79810

Descriptive statistics

Standard deviation67016.522
Coefficient of variation (CV)0.0033325617
Kurtosis1.3022369
Mean20109612
Median Absolute Deviation (MAD)39786
Skewness-0.94673637
Sum2.1296079 × 1010
Variance4.4912142 × 109
MonotonicityNot monotonic
2024-05-11T07:39:35.048517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19860614 6
 
0.4%
19990517 4
 
0.3%
20080415 4
 
0.3%
20081219 4
 
0.3%
20090604 4
 
0.3%
20070716 4
 
0.3%
20080122 4
 
0.3%
20090610 4
 
0.3%
20150616 3
 
0.2%
20080520 3
 
0.2%
Other values (892) 1019
73.3%
(Missing) 331
 
23.8%
ValueCountFrequency (%)
19860614 6
0.4%
19860625 1
 
0.1%
19870123 1
 
0.1%
19870209 1
 
0.1%
19870520 1
 
0.1%
19870627 1
 
0.1%
19870811 1
 
0.1%
19880313 1
 
0.1%
19880803 1
 
0.1%
19910128 1
 
0.1%
ValueCountFrequency (%)
20220307 1
0.1%
20220223 1
0.1%
20220217 1
0.1%
20220125 1
0.1%
20220112 1
0.1%
20211207 1
0.1%
20211126 2
0.1%
20211021 1
0.1%
20211006 1
0.1%
20210820 1
0.1%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1390
Missing (%)100.0%
Memory size12.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF52110220230000062023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-511-0821<NA><NA>서울특별시 강남구 논현동 **-** 넥서스빌딩서울특별시 강남구 언주로***길 **-*, 넥서스빌딩 *층 (논현동)06049쇼트케이크 주식회사2023-03-17 09:44:54U2022-12-02 23:09:00.0<NA>202760.753884446321.701565<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFF52110220140000312014-09-23<NA>3폐업3폐업2023-03-08<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***-* 대원빌딩지하*층서울특별시 강남구 압구정로**길 *, 지하*층 (신사동, 대원빌딩)135-888(유)조이앤시네마2023-03-08 16:43:42U2022-12-02 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>
23130000CDFF52110220220000022022-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** 상암 오벨리스크 *차서울특별시 마포구 월드컵북로 ***, 상암 오벨리스크 *차 *층 *-***호 (상암동)03902주식회사 큐앤미디어2023-03-09 09:18:14U2022-12-02 23:01:00.0<NA>189409.395006453459.514085<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33210000CDFF52110220230000022018-08-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-* 용진빌딩서울특별시 서초구 동작대로 **, 용진빌딩 *층 ***호 (방배동)06677주식회사 브라더미디어2023-03-09 18:18:01I2022-12-02 23:01:00.0<NA>198363.705517442198.239121<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43130000CDFF52110220180000112014-11-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 독막로*길 *-*, *층 (서교동)04048(주)영화사오원2023-03-16 15:14:25U2022-12-02 23:08:00.0<NA>192802.178308449599.372382<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53120000CDFF52110220200000061999-05-17<NA>3폐업3폐업2023-03-14<NA><NA><NA>02-2272-2945<NA><NA>서울특별시 서대문구 홍제동 ***-*서울특별시 서대문구 간호대로*길 ** (홍제동)03619(주)씨네월드2023-03-16 11:01:49U2022-12-02 23:08:00.0<NA>195314.09396454854.831582<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFF52110220230000012015-08-20<NA>5제외/삭제/전출15전출2024-02-23<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 파크하비오서울특별시 송파구 송파대로 ***, ***동 *층 A***호 (문정동, 파크하비오)05837(주)영화사 안다미로2024-02-23 15:02:46U2023-12-01 22:05:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFF52110220180000072018-09-13<NA>1영업/정상13영업중<NA><NA><NA><NA>0262735678<NA><NA>서울특별시 종로구 동숭동 *-**서울특별시 종로구 대학로*가길 **, *층 (동숭동)03086(주)레드앤블루2023-03-14 11:35:18U2022-12-02 23:06:00.0<NA>200220.113435453354.415638<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83010000CDFF52110220230000022023-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 저동*가 **-*서울특별시 중구 수표로 **, *층 ***호 (저동*가)04552(주)억만장자픽처스2023-07-31 17:01:44U2022-12-08 00:02:00.0<NA>199055.55145451190.625636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93150000CDFF52110220200000012020-06-04<NA>5제외/삭제/전출15전출2023-03-22<NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 마곡나루역캐슬파크 ***호서울특별시 강서구 마곡중앙로 ***-*, 마곡나루역캐슬파크 ***호 (마곡동)07788제뉴어리이공 현프로2023-03-22 17:40:51U2022-12-02 22:04:00.0<NA>184687.894683451746.931472<NA><NA><NA><NA><NA><NA><NA><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
13803240000CDFF521102201100000120111207<NA>1영업/정상13영업중<NA><NA><NA><NA>508-4240<NA><NA>서울특별시 강동구 암사동 ***-**번지 ***호서울특별시 강동구 구천면로 ***, ***호 (암사동)134859크리스찬미디어2011-12-08 10:08:08I2018-08-31 23:59:59.0<NA>211896.331971449579.848163영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20111207<NA>
13813240000CDFF521102201600000120111109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 ***-*번지 *층서울특별시 강동구 아리수로**길 **, *층 (고덕동)05226(주)사이드미러2016-03-07 17:36:38I2018-08-31 23:59:59.0<NA>213749.851091450966.856025영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20111109<NA>
13823240000CDFF521102202100000120210601<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***서울특별시 강동구 성내로**길 **, *층 (성내동)05396(주)노던크로스2021-06-01 10:55:01I2021-06-03 00:23:05.0<NA>211297.070605447290.600685영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20210601<NA>
13833230000CDFF521102202100000320200321<NA>3폐업3폐업20221219<NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 605 휴먼빌 시티서울특별시 송파구 위례송파로3길 12, 휴먼빌 시티 1동 830호 (거여동)05790씨네쿼넌 픽쳐스2022-12-19 11:18:16U2021-11-01 22:01:00.0<NA>212563.467296442692.700075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13843140000CDFF521102202300000120230112<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2604-5857<NA><NA>서울특별시 양천구 신정동 ***-*서울특별시 양천구 국회대로 ***, ***호 (신정동)07937(주) 이븐이엔티2023-01-12 10:59:00I2022-11-30 23:04:00.0<NA>187677.405864447436.286349<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13853000000CDFF521102199900000119990531<NA>3폐업3폐업20151203<NA><NA><NA>732-1895<NA><NA>서울특별시 종로구 통의동 ** 화암빌딩 *층서울특별시 종로구 자하문로 ** (통의동,화암빌딩 *층)<NA>미디어필림인터내셔날(주)2022-05-13 14:51:32U2021-12-04 23:05:00.0<NA>197486.619352452879.662626<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13863230000CDFF52110220190000032019-05-03<NA>3폐업3폐업2024-04-02<NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ** 잠실엘스서울특별시 송파구 올림픽로 **, ***동 ***호 (잠실동, 잠실엘스)05501까마귀 필름2024-04-02 18:43:22U2023-12-04 00:04:00.0<NA>207125.178244445763.360184<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13873130000CDFF521102202000000920070109<NA>5제외/삭제/전출15전출20230119<NA><NA><NA>02-3017-3572<NA><NA>서울특별시 마포구 성산동 *** 월드컵주경기장서울특별시 마포구 월드컵로 ***, 월드컵주경기장 지상*층 (성산동)03932메가박스중앙(주)2023-01-19 09:11:40U2022-11-30 22:01:00.0<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>
13883180000CDFF521102201600000220070705<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동*가 * 문래임광그대가서울특별시 영등포구 선유로 **, 문래임광그대가 ***동 ****호 (문래동*가)07280(주)커넥트2023-01-27 11:00:32U2022-11-30 22:09:00.0<NA>190107.271464446454.594612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13893030000CDFF52110220230000012007-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3017-3486<NA><NA>서울특별시 성동구 성수동*가 ***-*** 메가박스 스퀘어서울특별시 성동구 왕십리로 **, 메가박스 스퀘어 *층 (성수동*가)04778메가박스중앙(주)2024-02-02 17:34:30U2023-12-02 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>