Overview

Dataset statistics

Number of variables56
Number of observations125
Missing cells3671
Missing cells (%)52.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.1 KiB
Average record size in memory492.1 B

Variable types

Categorical16
Text5
DateTime4
Unsupported26
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17742/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (61.1%)Imbalance
영업상태명 is highly imbalanced (61.1%)Imbalance
상세영업상태코드 is highly imbalanced (61.1%)Imbalance
상세영업상태명 is highly imbalanced (61.1%)Imbalance
총층수 is highly imbalanced (68.9%)Imbalance
시설면적 is highly imbalanced (68.9%)Imbalance
지상층수 is highly imbalanced (68.9%)Imbalance
지하층수 is highly imbalanced (68.9%)Imbalance
통로너비 is highly imbalanced (68.9%)Imbalance
조명시설조도 is highly imbalanced (68.9%)Imbalance
노래방실수 is highly imbalanced (68.9%)Imbalance
청소년실수 is highly imbalanced (68.9%)Imbalance
총게임기수 is highly imbalanced (68.9%)Imbalance
인허가취소일자 has 125 (100.0%) missing valuesMissing
폐업일자 has 111 (88.8%) missing valuesMissing
휴업시작일자 has 125 (100.0%) missing valuesMissing
휴업종료일자 has 125 (100.0%) missing valuesMissing
재개업일자 has 125 (100.0%) missing valuesMissing
전화번호 has 104 (83.2%) missing valuesMissing
소재지면적 has 125 (100.0%) missing valuesMissing
소재지우편번호 has 109 (87.2%) missing valuesMissing
도로명주소 has 2 (1.6%) missing valuesMissing
도로명우편번호 has 21 (16.8%) missing valuesMissing
업태구분명 has 125 (100.0%) missing valuesMissing
좌표정보(X) has 19 (15.2%) missing valuesMissing
좌표정보(Y) has 19 (15.2%) missing valuesMissing
문화사업자구분명 has 125 (100.0%) missing valuesMissing
주변환경명 has 125 (100.0%) missing valuesMissing
제작취급품목내용 has 125 (100.0%) missing valuesMissing
건물용도명 has 125 (100.0%) missing valuesMissing
비상계단여부 has 125 (100.0%) missing valuesMissing
비상구여부 has 125 (100.0%) missing valuesMissing
자동환기여부 has 125 (100.0%) missing valuesMissing
청소년실여부 has 125 (100.0%) missing valuesMissing
특수조명여부 has 125 (100.0%) missing valuesMissing
방음시설여부 has 125 (100.0%) missing valuesMissing
비디오재생기명 has 125 (100.0%) missing valuesMissing
조명시설유무 has 125 (100.0%) missing valuesMissing
음향시설여부 has 125 (100.0%) missing valuesMissing
편의시설여부 has 125 (100.0%) missing valuesMissing
소방시설여부 has 125 (100.0%) missing valuesMissing
기존게임업외업종명 has 125 (100.0%) missing valuesMissing
제공게임물명 has 125 (100.0%) missing valuesMissing
공연장형태구분명 has 125 (100.0%) missing valuesMissing
품목명 has 125 (100.0%) missing valuesMissing
최초등록시점 has 36 (28.8%) missing valuesMissing
지역구분명 has 125 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:21:50.534488
Analysis finished2024-05-11 06:21:51.665726
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3150000
125 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 125
100.0%

Length

2024-05-11T15:21:51.780414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:51.939215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 125
100.0%

관리번호
Text

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T15:21:52.222544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2500
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

Unique125 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011999000001
2nd rowCDFF5211012000000001
3rd rowCDFF5211012000000002
4th rowCDFF5211012001000001
5th rowCDFF5211012001000002
ValueCountFrequency (%)
cdff5211011999000001 1
 
0.8%
cdff5211012018000013 1
 
0.8%
cdff5211012021000008 1
 
0.8%
cdff5211012021000007 1
 
0.8%
cdff5211012021000006 1
 
0.8%
cdff5211012021000005 1
 
0.8%
cdff5211012021000004 1
 
0.8%
cdff5211012021000003 1
 
0.8%
cdff5211012021000002 1
 
0.8%
cdff5211012021000001 1
 
0.8%
Other values (115) 115
92.0%
2024-05-11T15:21:52.839006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 896
35.8%
1 484
19.4%
2 334
 
13.4%
F 250
 
10.0%
5 146
 
5.8%
C 125
 
5.0%
D 125
 
5.0%
3 37
 
1.5%
4 26
 
1.0%
8 24
 
1.0%
Other values (3) 53
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
80.0%
Uppercase Letter 500
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 896
44.8%
1 484
24.2%
2 334
 
16.7%
5 146
 
7.3%
3 37
 
1.8%
4 26
 
1.3%
8 24
 
1.2%
9 20
 
1.0%
7 17
 
0.9%
6 16
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 250
50.0%
C 125
25.0%
D 125
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
80.0%
Latin 500
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 896
44.8%
1 484
24.2%
2 334
 
16.7%
5 146
 
7.3%
3 37
 
1.8%
4 26
 
1.3%
8 24
 
1.2%
9 20
 
1.0%
7 17
 
0.9%
6 16
 
0.8%
Latin
ValueCountFrequency (%)
F 250
50.0%
C 125
25.0%
D 125
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 896
35.8%
1 484
19.4%
2 334
 
13.4%
F 250
 
10.0%
5 146
 
5.8%
C 125
 
5.0%
D 125
 
5.0%
3 37
 
1.5%
4 26
 
1.0%
8 24
 
1.0%
Other values (3) 53
 
2.1%

인허가일자
Date

Distinct121
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1999-05-19 00:00:00
Maximum2024-02-19 00:00:00
2024-05-11T15:21:53.120995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:53.405747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
111 
3
 
8
5
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 111
88.8%
3 8
 
6.4%
5 6
 
4.8%

Length

2024-05-11T15:21:53.711692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:54.225530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 111
88.8%
3 8
 
6.4%
5 6
 
4.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
111 
폐업
 
8
제외/삭제/전출
 
6

Length

Max length8
Median length5
Mean length4.952
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 111
88.8%
폐업 8
 
6.4%
제외/삭제/전출 6
 
4.8%

Length

2024-05-11T15:21:54.410422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:54.590233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 111
88.8%
폐업 8
 
6.4%
제외/삭제/전출 6
 
4.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
111 
3
 
8
15
 
6

Length

Max length2
Median length2
Mean length1.936
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 111
88.8%
3 8
 
6.4%
15 6
 
4.8%

Length

2024-05-11T15:21:54.774879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:54.977035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 111
88.8%
3 8
 
6.4%
15 6
 
4.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
111 
폐업
 
8
전출
 
6

Length

Max length3
Median length3
Mean length2.888
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 111
88.8%
폐업 8
 
6.4%
전출 6
 
4.8%

Length

2024-05-11T15:21:55.283181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:55.514388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 111
88.8%
폐업 8
 
6.4%
전출 6
 
4.8%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing111
Missing (%)88.8%
Memory size1.1 KiB
Minimum2010-02-09 00:00:00
Maximum2024-03-06 00:00:00
2024-05-11T15:21:55.713060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:55.988685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing104
Missing (%)83.2%
Memory size1.1 KiB
2024-05-11T15:21:56.359553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.952381
Min length11

Characters and Unicode

Total characters251
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

Unique21 ?
Unique (%)100.0%

Sample

1st row02-3775-4300
2nd row02-761-2229
3rd row070-8803-0977
4th row02-2661-1973
5th row02-2651-7169
ValueCountFrequency (%)
02-3775-4300 1
 
4.8%
02-3661-1066 1
 
4.8%
02-716-8850 1
 
4.8%
02-3663-7747 1
 
4.8%
02-3662-4812 1
 
4.8%
02-2661-0521 1
 
4.8%
02-2093-2125 1
 
4.8%
02-486-6112 1
 
4.8%
02-2668-8613 1
 
4.8%
02-780-3162 1
 
4.8%
Other values (11) 11
52.4%
2024-05-11T15:21:57.082268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.7%
0 41
16.3%
2 38
15.1%
6 30
12.0%
1 22
8.8%
7 20
8.0%
3 14
 
5.6%
8 13
 
5.2%
5 11
 
4.4%
4 10
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 209
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
19.6%
2 38
18.2%
6 30
14.4%
1 22
10.5%
7 20
9.6%
3 14
 
6.7%
8 13
 
6.2%
5 11
 
5.3%
4 10
 
4.8%
9 10
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 251
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
16.7%
0 41
16.3%
2 38
15.1%
6 30
12.0%
1 22
8.8%
7 20
8.0%
3 14
 
5.6%
8 13
 
5.2%
5 11
 
4.4%
4 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.7%
0 41
16.3%
2 38
15.1%
6 30
12.0%
1 22
8.8%
7 20
8.0%
3 14
 
5.6%
8 13
 
5.2%
5 11
 
4.4%
4 10
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)81.2%
Missing109
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean157800.75
Minimum157011
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:21:57.325815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157011
5-th percentile157584
Q1157810.75
median157862
Q3157869.25
95-th percentile157919
Maximum157928
Range917
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation214.69342
Coefficient of variation (CV)0.0013605349
Kurtosis14.563019
Mean157800.75
Median Absolute Deviation (MAD)25
Skewness-3.7452183
Sum2524812
Variance46093.267
MonotonicityNot monotonic
2024-05-11T15:21:57.544530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
157862 3
 
2.4%
157867 2
 
1.6%
157916 1
 
0.8%
157011 1
 
0.8%
157889 1
 
0.8%
157775 1
 
0.8%
157849 1
 
0.8%
157928 1
 
0.8%
157839 1
 
0.8%
157790 1
 
0.8%
Other values (3) 3
 
2.4%
(Missing) 109
87.2%
ValueCountFrequency (%)
157011 1
 
0.8%
157775 1
 
0.8%
157790 1
 
0.8%
157807 1
 
0.8%
157812 1
 
0.8%
157839 1
 
0.8%
157849 1
 
0.8%
157862 3
2.4%
157867 2
1.6%
157876 1
 
0.8%
ValueCountFrequency (%)
157928 1
 
0.8%
157916 1
 
0.8%
157889 1
 
0.8%
157876 1
 
0.8%
157867 2
1.6%
157862 3
2.4%
157849 1
 
0.8%
157839 1
 
0.8%
157812 1
 
0.8%
157807 1
 
0.8%

지번주소
Text

Distinct112
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T15:21:58.055963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length30.104
Min length18

Characters and Unicode

Total characters3763
Distinct characters175
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

Unique103 ?
Unique (%)82.4%

Sample

1st row서울특별시 강서구 화곡동 ***-**번지
2nd row서울특별시 강서구 화곡동 **-***번지 주신아파트 B동***호
3rd row서울특별시 강서구 등촌동 ***번지 세신그린코아 ***호
4th row서울특별시 강서구 화곡동 ****-**번지 *층
5th row서울특별시 강서구 오곡동 ***-*번지
ValueCountFrequency (%)
서울특별시 125
18.0%
강서구 124
17.9%
번지 72
10.4%
호 61
8.8%
51
 
7.3%
마곡동 40
 
5.8%
화곡동 25
 
3.6%
등촌동 24
 
3.5%
층 13
 
1.9%
가양동 12
 
1.7%
Other values (94) 147
21.2%
2024-05-11T15:21:58.898674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 799
21.2%
612
16.3%
서 253
 
6.7%
동 147
 
3.9%
강 133
 
3.5%
시 128
 
3.4%
울 126
 
3.3%
특 125
 
3.3%
별 125
 
3.3%
구 125
 
3.3%
Other values (165) 1190
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2222
59.0%
Other Punctuation 800
 
21.3%
Space Separator 612
 
16.3%
Dash Punctuation 103
 
2.7%
Uppercase Letter 9
 
0.2%
Decimal Number 8
 
0.2%
Letter Number 6
 
0.2%
Math Symbol 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 253
 
11.4%
동 147
 
6.6%
강 133
 
6.0%
시 128
 
5.8%
울 126
 
5.7%
특 125
 
5.6%
별 125
 
5.6%
구 125
 
5.6%
지 86
 
3.9%
곡 83
 
3.7%
Other values (144) 891
40.1%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
8 1
12.5%
0 1
12.5%
9 1
12.5%
3 1
12.5%
6 1
12.5%
7 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
55.6%
M 1
 
11.1%
A 1
 
11.1%
D 1
 
11.1%
C 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 799
99.9%
, 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅰ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
612
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2222
59.0%
Common 1526
40.6%
Latin 15
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 253
 
11.4%
동 147
 
6.6%
강 133
 
6.0%
시 128
 
5.8%
울 126
 
5.7%
특 125
 
5.6%
별 125
 
5.6%
구 125
 
5.6%
지 86
 
3.9%
곡 83
 
3.7%
Other values (144) 891
40.1%
Common
ValueCountFrequency (%)
* 799
52.4%
612
40.1%
- 103
 
6.7%
1 2
 
0.1%
8 1
 
0.1%
0 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%
~ 1
 
0.1%
6 1
 
0.1%
Other values (4) 4
 
0.3%
Latin
ValueCountFrequency (%)
Ⅱ 5
33.3%
B 5
33.3%
M 1
 
6.7%
A 1
 
6.7%
Ⅰ 1
 
6.7%
D 1
 
6.7%
C 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2222
59.0%
ASCII 1535
40.8%
Number Forms 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 799
52.1%
612
39.9%
- 103
 
6.7%
B 5
 
0.3%
1 2
 
0.1%
8 1
 
0.1%
0 1
 
0.1%
M 1
 
0.1%
9 1
 
0.1%
A 1
 
0.1%
Other values (9) 9
 
0.6%
Hangul
ValueCountFrequency (%)
서 253
 
11.4%
동 147
 
6.6%
강 133
 
6.0%
시 128
 
5.8%
울 126
 
5.7%
특 125
 
5.6%
별 125
 
5.6%
구 125
 
5.6%
지 86
 
3.9%
곡 83
 
3.7%
Other values (144) 891
40.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅰ 1
 
16.7%

도로명주소
Text

MISSING 

Distinct114
Distinct (%)92.7%
Missing2
Missing (%)1.6%
Memory size1.1 KiB
2024-05-11T15:21:59.277460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length46
Mean length39.121951
Min length23

Characters and Unicode

Total characters4812
Distinct characters188
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

Unique108 ?
Unique (%)87.8%

Sample

1st row서울특별시 강서구 우장산로 *** (화곡동)
2nd row서울특별시 강서구 초록마을로**길 ** (화곡동,주신아파트 B동***호)
3rd row서울특별시 강서구 공항대로**길 ** (등촌동,세신그린코아 ***호)
4th row서울특별시 강서구 강서로**길 **, *층 (화곡동)
5th row서울특별시 강서구 개화동로*길 *** (오곡동)
ValueCountFrequency (%)
서울특별시 123
14.2%
123
14.2%
강서구 122
14.1%
호 90
 
10.4%
마곡동 40
 
4.6%
층 30
 
3.5%
등촌동 22
 
2.5%
공항대로 20
 
2.3%
화곡동 18
 
2.1%
양천로 14
 
1.6%
Other values (137) 265
30.6%
2024-05-11T15:21:59.895796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 868
18.0%
760
 
15.8%
서 264
 
5.5%
동 165
 
3.4%
, 158
 
3.3%
강 141
 
2.9%
로 128
 
2.7%
시 128
 
2.7%
) 125
 
2.6%
( 125
 
2.6%
Other values (178) 1950
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2708
56.3%
Other Punctuation 1026
 
21.3%
Space Separator 760
 
15.8%
Close Punctuation 125
 
2.6%
Open Punctuation 125
 
2.6%
Dash Punctuation 35
 
0.7%
Uppercase Letter 17
 
0.4%
Decimal Number 8
 
0.2%
Letter Number 6
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 264
 
9.7%
동 165
 
6.1%
강 141
 
5.2%
로 128
 
4.7%
시 128
 
4.7%
울 124
 
4.6%
구 123
 
4.5%
특 123
 
4.5%
별 123
 
4.5%
곡 122
 
4.5%
Other values (159) 1267
46.8%
Decimal Number
ValueCountFrequency (%)
6 2
25.0%
1 2
25.0%
3 1
12.5%
8 1
12.5%
0 1
12.5%
7 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
41.2%
A 5
29.4%
C 4
23.5%
M 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 868
84.6%
, 158
 
15.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅰ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
760
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2708
56.3%
Common 2081
43.2%
Latin 23
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 264
 
9.7%
동 165
 
6.1%
강 141
 
5.2%
로 128
 
4.7%
시 128
 
4.7%
울 124
 
4.6%
구 123
 
4.5%
특 123
 
4.5%
별 123
 
4.5%
곡 122
 
4.5%
Other values (159) 1267
46.8%
Common
ValueCountFrequency (%)
* 868
41.7%
760
36.5%
, 158
 
7.6%
) 125
 
6.0%
( 125
 
6.0%
- 35
 
1.7%
6 2
 
0.1%
1 2
 
0.1%
~ 2
 
0.1%
3 1
 
< 0.1%
Other values (3) 3
 
0.1%
Latin
ValueCountFrequency (%)
B 7
30.4%
A 5
21.7%
Ⅱ 5
21.7%
C 4
17.4%
Ⅰ 1
 
4.3%
M 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2708
56.3%
ASCII 2098
43.6%
Number Forms 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 868
41.4%
760
36.2%
, 158
 
7.5%
) 125
 
6.0%
( 125
 
6.0%
- 35
 
1.7%
B 7
 
0.3%
A 5
 
0.2%
C 4
 
0.2%
6 2
 
0.1%
Other values (7) 9
 
0.4%
Hangul
ValueCountFrequency (%)
서 264
 
9.7%
동 165
 
6.1%
강 141
 
5.2%
로 128
 
4.7%
시 128
 
4.7%
울 124
 
4.6%
구 123
 
4.5%
특 123
 
4.5%
별 123
 
4.5%
곡 122
 
4.5%
Other values (159) 1267
46.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅰ 1
 
16.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)58.7%
Missing21
Missing (%)16.8%
Infinite0
Infinite (%)0.0%
Mean32157.99
Minimum6054
Maximum157930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:22:00.198493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6054
5-th percentile7524.6
Q17585.75
median7677.5
Q37801
95-th percentile157883.6
Maximum157930
Range151876
Interquartile range (IQR)215.25

Descriptive statistics

Standard deviation55723.051
Coefficient of variation (CV)1.7327902
Kurtosis1.4385053
Mean32157.99
Median Absolute Deviation (MAD)114.5
Skewness1.8469089
Sum3344431
Variance3.1050584 × 109
MonotonicityNot monotonic
2024-05-11T15:22:00.491675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7788 12
 
9.6%
7631 8
 
6.4%
7801 5
 
4.0%
7807 4
 
3.2%
7548 3
 
2.4%
7590 3
 
2.4%
7563 3
 
2.4%
7547 3
 
2.4%
157930 3
 
2.4%
7703 2
 
1.6%
Other values (51) 58
46.4%
(Missing) 21
 
16.8%
ValueCountFrequency (%)
6054 1
0.8%
7512 1
0.8%
7522 1
0.8%
7523 2
1.6%
7524 1
0.8%
7528 1
0.8%
7529 1
0.8%
7531 1
0.8%
7532 1
0.8%
7535 1
0.8%
ValueCountFrequency (%)
157930 3
2.4%
157916 1
 
0.8%
157893 1
 
0.8%
157889 1
 
0.8%
157853 1
 
0.8%
157840 1
 
0.8%
157836 1
 
0.8%
157804 2
1.6%
157240 1
 
0.8%
157203 1
 
0.8%

사업장명
Text

Distinct124
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T15:22:00.932395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length9.296
Min length3

Characters and Unicode

Total characters1162
Distinct characters233
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)98.4%

Sample

1st row㈜한일영화사
2nd row주연필름
3rd row누리엔터테인먼트
4th row다인프로덕션
5th row㈜영구아트
ValueCountFrequency (%)
주식회사 36
 
19.5%
영화사 4
 
2.2%
씨네아스트 2
 
1.1%
film 2
 
1.1%
이미지업스튜디오 1
 
0.5%
주)컨택트미디어 1
 
0.5%
주)콘텐츠게이트 1
 
0.5%
주)스토리브릿지 1
 
0.5%
에스에이치엔터앤미디어 1
 
0.5%
삼륙꽁 1
 
0.5%
Other values (135) 135
73.0%
2024-05-11T15:22:01.572616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 68
 
5.9%
60
 
5.2%
사 49
 
4.2%
스 42
 
3.6%
이 40
 
3.4%
회 37
 
3.2%
) 36
 
3.1%
식 36
 
3.1%
( 36
 
3.1%
트 22
 
1.9%
Other values (223) 736
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 922
79.3%
Space Separator 60
 
5.2%
Uppercase Letter 49
 
4.2%
Lowercase Letter 40
 
3.4%
Close Punctuation 36
 
3.1%
Open Punctuation 36
 
3.1%
Other Symbol 12
 
1.0%
Other Punctuation 5
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 68
 
7.4%
사 49
 
5.3%
스 42
 
4.6%
이 40
 
4.3%
회 37
 
4.0%
식 36
 
3.9%
트 22
 
2.4%
디 21
 
2.3%
리 20
 
2.2%
미 17
 
1.8%
Other values (184) 570
61.8%
Uppercase Letter
ValueCountFrequency (%)
E 6
12.2%
M 5
10.2%
I 4
 
8.2%
T 4
 
8.2%
P 4
 
8.2%
J 4
 
8.2%
K 3
 
6.1%
S 3
 
6.1%
C 3
 
6.1%
F 3
 
6.1%
Other values (7) 10
20.4%
Lowercase Letter
ValueCountFrequency (%)
o 5
12.5%
t 5
12.5%
i 5
12.5%
n 4
10.0%
c 3
7.5%
m 3
7.5%
d 2
 
5.0%
u 2
 
5.0%
r 2
 
5.0%
l 2
 
5.0%
Other values (5) 7
17.5%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 934
80.4%
Common 139
 
12.0%
Latin 89
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 68
 
7.3%
사 49
 
5.2%
스 42
 
4.5%
이 40
 
4.3%
회 37
 
4.0%
식 36
 
3.9%
트 22
 
2.4%
디 21
 
2.2%
리 20
 
2.1%
미 17
 
1.8%
Other values (185) 582
62.3%
Latin
ValueCountFrequency (%)
E 6
 
6.7%
o 5
 
5.6%
M 5
 
5.6%
t 5
 
5.6%
i 5
 
5.6%
I 4
 
4.5%
T 4
 
4.5%
P 4
 
4.5%
J 4
 
4.5%
n 4
 
4.5%
Other values (22) 43
48.3%
Common
ValueCountFrequency (%)
60
43.2%
) 36
25.9%
( 36
25.9%
. 3
 
2.2%
2 2
 
1.4%
& 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 922
79.3%
ASCII 228
 
19.6%
None 12
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 68
 
7.4%
사 49
 
5.3%
스 42
 
4.6%
이 40
 
4.3%
회 37
 
4.0%
식 36
 
3.9%
트 22
 
2.4%
디 21
 
2.3%
리 20
 
2.2%
미 17
 
1.8%
Other values (184) 570
61.8%
ASCII
ValueCountFrequency (%)
60
26.3%
) 36
15.8%
( 36
15.8%
E 6
 
2.6%
o 5
 
2.2%
M 5
 
2.2%
t 5
 
2.2%
i 5
 
2.2%
I 4
 
1.8%
T 4
 
1.8%
Other values (28) 62
27.2%
None
ValueCountFrequency (%)
㈜ 12
100.0%

최종수정일자
Date

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2010-04-29 14:48:50
Maximum2024-04-22 15:09:14
2024-05-11T15:22:01.824564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:02.058011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
104 
U
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 104
83.2%
U 21
 
16.8%

Length

2024-05-11T15:22:02.288087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:02.472728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 104
83.2%
u 21
 
16.8%

데이터갱신일자
Date

Distinct66
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T15:22:02.677138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:02.934968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)80.2%
Missing19
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean186162.12
Minimum180384.55
Maximum203118.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:22:03.202160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180384.55
5-th percentile183054.68
Q1184805.68
median186388.82
Q3187380.87
95-th percentile188360.11
Maximum203118.13
Range22733.581
Interquartile range (IQR)2575.1908

Descriptive statistics

Standard deviation2381.7047
Coefficient of variation (CV)0.012793713
Kurtosis23.674122
Mean186162.12
Median Absolute Deviation (MAD)1328.5939
Skewness3.231456
Sum19733184
Variance5672517.3
MonotonicityNot monotonic
2024-05-11T15:22:03.511193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189145.455894355 4
 
3.2%
184498.0 4
 
3.2%
187999.32555627 3
 
2.4%
187952.560027898 3
 
2.4%
187655.71243134 2
 
1.6%
187733.160920858 2
 
1.6%
184655.264279055 2
 
1.6%
184805.681473385 2
 
1.6%
185718.296796962 2
 
1.6%
186501.233192961 2
 
1.6%
Other values (75) 80
64.0%
(Missing) 19
 
15.2%
ValueCountFrequency (%)
180384.547605318 1
0.8%
182991.048138541 1
0.8%
182996.568228638 1
0.8%
183006.180133515 1
0.8%
183008.380596155 1
0.8%
183047.198873757 1
0.8%
183077.104950217 1
0.8%
183090.805509245 1
0.8%
183135.22651351 1
0.8%
183467.282603947 1
0.8%
ValueCountFrequency (%)
203118.12857079 1
 
0.8%
189145.455894355 4
3.2%
188472.277894258 1
 
0.8%
188023.60012538 1
 
0.8%
187999.32555627 3
2.4%
187952.560027898 3
2.4%
187851.458569291 2
1.6%
187831.720345753 1
 
0.8%
187789.193573091 1
 
0.8%
187733.160920858 2
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)80.2%
Missing19
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean450456.64
Minimum446536.25
Maximum453015.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:22:03.742486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446536.25
5-th percentile448097.94
Q1449724
median450725.7
Q3451453.81
95-th percentile452145.45
Maximum453015.64
Range6479.3914
Interquartile range (IQR)1729.8079

Descriptive statistics

Standard deviation1278.5793
Coefficient of variation (CV)0.002838407
Kurtosis0.086893232
Mean450456.64
Median Absolute Deviation (MAD)823.44563
Skewness-0.6711729
Sum47748404
Variance1634765
MonotonicityNot monotonic
2024-05-11T15:22:03.986037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449483.688743756 4
 
3.2%
451786.0 4
 
3.2%
449920.361168751 3
 
2.4%
450562.020225978 3
 
2.4%
449755.170037306 2
 
1.6%
450747.952249309 2
 
1.6%
451864.298152252 2
 
1.6%
450977.857003116 2
 
1.6%
452160.35037297 2
 
1.6%
451485.251875922 2
 
1.6%
Other values (75) 80
64.0%
(Missing) 19
 
15.2%
ValueCountFrequency (%)
446536.252846366 1
0.8%
447568.399098225 1
0.8%
447617.03544641 1
0.8%
447741.67940117 1
0.8%
447833.29306303 1
0.8%
448083.932366475 1
0.8%
448139.970457871 1
0.8%
448349.388517668 1
0.8%
448388.459353332 1
0.8%
448412.018066883 1
0.8%
ValueCountFrequency (%)
453015.644256685 1
0.8%
452767.33841339 1
0.8%
452349.671029508 1
0.8%
452160.35037297 2
1.6%
452149.512190298 1
0.8%
452133.277893616 1
0.8%
452004.57290852 1
0.8%
451925.154188831 1
0.8%
451896.899838054 1
0.8%
451864.298152252 2
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영화제작업
89 
<NA>
36 

Length

Max length5
Median length5
Mean length4.712
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 89
71.2%
<NA> 36
28.8%

Length

2024-05-11T15:22:04.232412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:04.427860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 89
71.2%
na 36
28.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
7

Length

Max length4
Median length4
Mean length3.832
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> 118
94.4%
0 7
 
5.6%

Length

2024-05-11T15:22:04.613229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:04.826717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
94.4%
0 7
 
5.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
7

Length

Max length4
Median length4
Mean length3.832
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> 118
94.4%
0 7
 
5.6%

Length

2024-05-11T15:22:05.032965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:05.234711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
94.4%
0 7
 
5.6%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
7

Length

Max length4
Median length4
Mean length3.832
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> 118
94.4%
0 7
 
5.6%

Length

2024-05-11T15:22:05.434962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:05.638409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
94.4%
0 7
 
5.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
7

Length

Max length4
Median length4
Mean length3.832
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> 118
94.4%
0 7
 
5.6%

Length

2024-05-11T15:22:05.862844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:06.055302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
94.4%
0 7
 
5.6%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
7

Length

Max length4
Median length4
Mean length3.832
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> 118
94.4%
0 7
 
5.6%

Length

2024-05-11T15:22:06.254868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:06.444847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
94.4%
0 7
 
5.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
7

Length

Max length4
Median length4
Mean length3.832
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> 118
94.4%
0 7
 
5.6%

Length

2024-05-11T15:22:06.632183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:06.821563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
94.4%
0 7
 
5.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
7

Length

Max length4
Median length4
Mean length3.832
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> 118
94.4%
0 7
 
5.6%

Length

2024-05-11T15:22:07.010120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:07.185295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
94.4%
0 7
 
5.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
7

Length

Max length4
Median length4
Mean length3.832
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> 118
94.4%
0 7
 
5.6%

Length

2024-05-11T15:22:07.390450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:07.591669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
94.4%
0 7
 
5.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
7

Length

Max length4
Median length4
Mean length3.832
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> 118
94.4%
0 7
 
5.6%

Length

2024-05-11T15:22:07.801142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:08.012529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
94.4%
0 7
 
5.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)96.6%
Missing36
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean20131199
Minimum19990519
Maximum20220209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:22:08.623824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990519
5-th percentile20014714
Q120090817
median20140418
Q320180115
95-th percentile20210551
Maximum20220209
Range229690
Interquartile range (IQR)89298

Descriptive statistics

Standard deviation57168.585
Coefficient of variation (CV)0.0028398002
Kurtosis-0.32070497
Mean20131199
Median Absolute Deviation (MAD)39985
Skewness-0.59015035
Sum1.7916768 × 109
Variance3.2682471 × 109
MonotonicityNot monotonic
2024-05-11T15:22:08.888635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130411 2
 
1.6%
20130412 2
 
1.6%
20160415 2
 
1.6%
20211021 1
 
0.8%
20181128 1
 
0.8%
20180620 1
 
0.8%
20211227 1
 
0.8%
20220209 1
 
0.8%
20180503 1
 
0.8%
20150707 1
 
0.8%
Other values (76) 76
60.8%
(Missing) 36
28.8%
ValueCountFrequency (%)
19990519 1
0.8%
20000503 1
0.8%
20001109 1
0.8%
20010725 1
0.8%
20010912 1
0.8%
20020416 1
0.8%
20021109 1
0.8%
20050921 1
0.8%
20051219 1
0.8%
20060328 1
0.8%
ValueCountFrequency (%)
20220209 1
0.8%
20211227 1
0.8%
20211021 1
0.8%
20210924 1
0.8%
20210705 1
0.8%
20210319 1
0.8%
20210115 1
0.8%
20200903 1
0.8%
20200901 1
0.8%
20200422 1
0.8%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF521101199900000119990519<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157916서울특별시 강서구 화곡동 ***-**번지서울특별시 강서구 우장산로 *** (화곡동)<NA>㈜한일영화사2010-04-29 14:48:50I2018-08-31 23:59:59.0<NA>186429.498609450094.294881영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990519<NA>
13150000CDFF521101200000000120000503<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157867서울특별시 강서구 화곡동 **-***번지 주신아파트 B동***호서울특별시 강서구 초록마을로**길 ** (화곡동,주신아파트 B동***호)<NA>주연필름2010-04-29 14:53:02I2018-08-31 23:59:59.0<NA>186682.397607448535.292196영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000503<NA>
23150000CDFF521101200000000220001109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***번지 세신그린코아 ***호서울특별시 강서구 공항대로**길 ** (등촌동,세신그린코아 ***호)<NA>누리엔터테인먼트2010-04-29 14:58:46I2018-08-31 23:59:59.0<NA>186301.87554450896.992533영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20001109<NA>
33150000CDFF521101200100000120010725<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157011서울특별시 강서구 화곡동 ****-**번지 *층서울특별시 강서구 강서로**길 **, *층 (화곡동)157011다인프로덕션2013-12-27 10:25:46I2018-08-31 23:59:59.0<NA>185871.119961448924.124738영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010725<NA>
43150000CDFF521101200100000220010912<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 오곡동 ***-*번지서울특별시 강서구 개화동로*길 *** (오곡동)<NA>㈜영구아트2016-11-04 17:26:04I2018-08-31 23:59:59.0<NA>180384.547605450465.325973영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010912<NA>
53150000CDFF521101200200000120020416<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157862서울특별시 강서구 염창동 ***-**번지 도레미빌딩 *층서울특별시 강서구 공항대로 *** (염창동,도레미빌딩 *층)<NA>㈜도레미픽쳐스2010-04-29 15:37:00I2018-08-31 23:59:59.0<NA>189145.455894449483.688744영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20020416<NA>
63150000CDFF521101200200000220021109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157867서울특별시 강서구 화곡동 **-**번지 현대빌 마-***호서울특별시 강서구 초록마을로**길 ** (화곡동,현대빌 마-***호)<NA>와이에이필름2010-04-29 15:39:47I2018-08-31 23:59:59.0<NA>186506.613823448734.585895영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20021109<NA>
73150000CDFF521101200500000120050921<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157862서울특별시 강서구 염창동 ***-**번지 도레미빌딩 *층서울특별시 강서구 공항대로 *** (염창동,도레미빌딩 *층)<NA>㈜디알엠엔터테인먼트2010-04-29 15:43:06I2018-08-31 23:59:59.0<NA>189145.455894449483.688744영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050921<NA>
83150000CDFF521101200500000220051219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157889서울특별시 강서구 화곡동 ***-**번지 인터시티빌라 라-***호서울특별시 강서구 초록마을로**길 ** (화곡동,인터시티빌라 라-***호)<NA>시움미디어2010-04-29 15:45:06I2018-08-31 23:59:59.0<NA>186448.775354448388.459353영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20051219<NA>
93150000CDFF521101200600000120060328<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157775서울특별시 강서구 방화동 방화**단지아파트 ****동 ****호<NA><NA>고골픽쳐스2010-04-29 15:49:26I2018-08-31 23:59:59.0<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060328<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1153150000CDFF52110120230000092023-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 벨리오 ***호서울특별시 강서구 강서로 ***, 벨리오 ***호 (마곡동)7792푸를 홍2023-07-28 08:40:42I2022-12-06 21:00:00.0<NA>185778.824182451401.946796<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1163150000CDFF52110120230000102022-07-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 **-*서울특별시 강서구 양천로**나길 *, *층 (마곡동)7522주식회사 제니스엔터테인먼트2023-08-01 10:16:51I2022-12-08 00:03:00.0<NA>185647.774425452149.51219<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1173150000CDFF52110120230000112023-05-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-** 파인스퀘어서울특별시 강서구 마곡중앙*로 **, 파인스퀘어 A동 ***~***호 (마곡동)7631주식회사 스토리아일랜드2023-10-06 16:42:27I2022-10-31 00:08:00.0<NA>184844.841587450680.365609<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1183150000CDFF52110120230000122006-10-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 ***-**서울특별시 강서구 방화동로**길 **-* (방화동)7616㈜인디유니온2023-11-16 11:02:33I2022-10-31 23:08:00.0<NA>183467.282604451646.206597<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1193150000CDFF52110120230000132018-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 **** 가양테크노타운서울특별시 강서구 허준로 ***, 가양테크노타운 ***-*호 (가양동)7531(주) 클래퍼보드2023-12-06 16:02:43I2022-11-02 00:08:00.0<NA>187831.720346450994.213237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1203150000CDFF52110120240000012024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 마곡엠밸리*단지서울특별시 강서구 마곡서로 ***, ***동 ***호 (마곡동, 마곡엠밸리*단지)7798주식회사 메이콘텐츠2024-01-17 08:37:34I2023-11-30 22:00:00.0<NA>184333.032124451471.100985<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1213150000CDFF52110120240000022024-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 *** 두산더랜드파크서울특별시 강서구 마곡중앙로 ***-*, 두산더랜드파크 C동 ***호 (마곡동)7788드래곤필름2024-02-16 15:03:20I2023-12-01 23:08:00.0<NA>184655.264279451864.298152<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223150000CDFF52110120240000032024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-** 현대프린스텔서울특별시 강서구 양천로 ***, 현대프린스텔 ***호 (등촌동)7548콘텐츠공장2024-02-23 14:02:48U2023-12-01 22:05:00.0<NA>187239.182172450877.798369<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233150000CDFF52110120240000042015-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-* 비원오피스텔서울특별시 강서구 공항대로 ***, 비원오피스텔 ****동 나-**호 (등촌동)7563밑그림하우스 주식회사2024-03-12 09:53:33I2023-12-02 23:04:00.0<NA>187999.325556449920.361169<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243150000CDFF52110120240000052009-01-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 ***-*서울특별시 강서구 양천로**가길 **-**, *층 (가양동)7523제이시즌영화사(주)2024-04-04 14:21:11I2023-12-04 00:07:00.0<NA>185718.296797452160.350373<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>