Overview

Dataset statistics

Number of variables56
Number of observations92
Missing cells2659
Missing cells (%)51.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.2 KiB
Average record size in memory492.4 B

Variable types

Categorical16
Text6
Unsupported26
DateTime3
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17744/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (74.2%)Imbalance
시설면적 is highly imbalanced (74.2%)Imbalance
지상층수 is highly imbalanced (74.2%)Imbalance
지하층수 is highly imbalanced (74.2%)Imbalance
통로너비 is highly imbalanced (74.2%)Imbalance
조명시설조도 is highly imbalanced (74.2%)Imbalance
노래방실수 is highly imbalanced (74.2%)Imbalance
청소년실수 is highly imbalanced (74.2%)Imbalance
총게임기수 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 92 (100.0%) missing valuesMissing
폐업일자 has 69 (75.0%) missing valuesMissing
휴업시작일자 has 92 (100.0%) missing valuesMissing
휴업종료일자 has 92 (100.0%) missing valuesMissing
재개업일자 has 92 (100.0%) missing valuesMissing
전화번호 has 72 (78.3%) missing valuesMissing
소재지면적 has 92 (100.0%) missing valuesMissing
소재지우편번호 has 82 (89.1%) missing valuesMissing
도로명우편번호 has 12 (13.0%) missing valuesMissing
업태구분명 has 92 (100.0%) missing valuesMissing
문화사업자구분명 has 92 (100.0%) missing valuesMissing
주변환경명 has 92 (100.0%) missing valuesMissing
제작취급품목내용 has 92 (100.0%) missing valuesMissing
건물용도명 has 92 (100.0%) missing valuesMissing
비상계단여부 has 92 (100.0%) missing valuesMissing
비상구여부 has 92 (100.0%) missing valuesMissing
자동환기여부 has 92 (100.0%) missing valuesMissing
청소년실여부 has 92 (100.0%) missing valuesMissing
특수조명여부 has 92 (100.0%) missing valuesMissing
방음시설여부 has 92 (100.0%) missing valuesMissing
비디오재생기명 has 92 (100.0%) missing valuesMissing
조명시설유무 has 92 (100.0%) missing valuesMissing
음향시설여부 has 92 (100.0%) missing valuesMissing
편의시설여부 has 92 (100.0%) missing valuesMissing
소방시설여부 has 92 (100.0%) missing valuesMissing
기존게임업외업종명 has 92 (100.0%) missing valuesMissing
제공게임물명 has 92 (100.0%) missing valuesMissing
공연장형태구분명 has 92 (100.0%) missing valuesMissing
품목명 has 92 (100.0%) missing valuesMissing
최초등록시점 has 32 (34.8%) missing valuesMissing
지역구분명 has 92 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:52:15.756926
Analysis finished2024-04-06 12:52:17.120753
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
3170000
92 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 92
100.0%

Length

2024-04-06T21:52:17.265542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:17.434013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 92
100.0%

관리번호
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-06T21:52:17.765537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1840
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

Unique92 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011996000001
2nd rowCDFF5211012001000001
3rd rowCDFF5211012003000001
4th rowCDFF5211012004000002
5th rowCDFF5211012004000003
ValueCountFrequency (%)
cdff5211011996000001 1
 
1.1%
cdff5211012020000004 1
 
1.1%
cdff5211012021000003 1
 
1.1%
cdff5211012021000002 1
 
1.1%
cdff5211012021000001 1
 
1.1%
cdff5211012020000011 1
 
1.1%
cdff5211012020000010 1
 
1.1%
cdff5211012020000009 1
 
1.1%
cdff5211012020000008 1
 
1.1%
cdff5211012020000007 1
 
1.1%
Other values (82) 82
89.1%
2024-04-06T21:52:18.576129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 659
35.8%
1 358
19.5%
2 252
 
13.7%
F 184
 
10.0%
5 108
 
5.9%
C 92
 
5.0%
D 92
 
5.0%
3 23
 
1.2%
4 20
 
1.1%
8 15
 
0.8%
Other values (3) 37
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1472
80.0%
Uppercase Letter 368
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 659
44.8%
1 358
24.3%
2 252
 
17.1%
5 108
 
7.3%
3 23
 
1.6%
4 20
 
1.4%
8 15
 
1.0%
9 13
 
0.9%
7 13
 
0.9%
6 11
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 184
50.0%
C 92
25.0%
D 92
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1472
80.0%
Latin 368
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 659
44.8%
1 358
24.3%
2 252
 
17.1%
5 108
 
7.3%
3 23
 
1.6%
4 20
 
1.4%
8 15
 
1.0%
9 13
 
0.9%
7 13
 
0.9%
6 11
 
0.7%
Latin
ValueCountFrequency (%)
F 184
50.0%
C 92
25.0%
D 92
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 659
35.8%
1 358
19.5%
2 252
 
13.7%
F 184
 
10.0%
5 108
 
5.9%
C 92
 
5.0%
D 92
 
5.0%
3 23
 
1.2%
4 20
 
1.1%
8 15
 
0.8%
Other values (3) 37
 
2.0%

인허가일자
Text

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-06T21:52:19.132456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.4130435
Min length8

Characters and Unicode

Total characters774
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)97.8%

Sample

1st row19961216
2nd row20010619
3rd row20030902
4th row20040920
5th row20040428
ValueCountFrequency (%)
20150616 2
 
2.2%
2021-11-24 1
 
1.1%
20200518 1
 
1.1%
20210331 1
 
1.1%
20170106 1
 
1.1%
20110516 1
 
1.1%
20200929 1
 
1.1%
2020-08-24 1
 
1.1%
20170508 1
 
1.1%
20200611 1
 
1.1%
Other values (81) 81
88.0%
2024-04-06T21:52:19.902076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 232
30.0%
2 187
24.2%
1 129
16.7%
- 38
 
4.9%
5 32
 
4.1%
4 28
 
3.6%
7 28
 
3.6%
6 27
 
3.5%
3 27
 
3.5%
8 24
 
3.1%
Other values (2) 22
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 735
95.0%
Dash Punctuation 38
 
4.9%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 232
31.6%
2 187
25.4%
1 129
17.6%
5 32
 
4.4%
4 28
 
3.8%
7 28
 
3.8%
6 27
 
3.7%
3 27
 
3.7%
8 24
 
3.3%
9 21
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 774
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 232
30.0%
2 187
24.2%
1 129
16.7%
- 38
 
4.9%
5 32
 
4.1%
4 28
 
3.6%
7 28
 
3.6%
6 27
 
3.5%
3 27
 
3.5%
8 24
 
3.1%
Other values (2) 22
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 774
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 232
30.0%
2 187
24.2%
1 129
16.7%
- 38
 
4.9%
5 32
 
4.1%
4 28
 
3.6%
7 28
 
3.6%
6 27
 
3.5%
3 27
 
3.5%
8 24
 
3.1%
Other values (2) 22
 
2.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
1
69 
3
13 
5
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
75.0%
3 13
 
14.1%
5 10
 
10.9%

Length

2024-04-06T21:52:20.205297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:20.422437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
75.0%
3 13
 
14.1%
5 10
 
10.9%

영업상태명
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업/정상
69 
폐업
13 
제외/삭제/전출
10 

Length

Max length8
Median length5
Mean length4.9021739
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 69
75.0%
폐업 13
 
14.1%
제외/삭제/전출 10
 
10.9%

Length

2024-04-06T21:52:20.619088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:20.848496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 69
75.0%
폐업 13
 
14.1%
제외/삭제/전출 10
 
10.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
13
69 
3
13 
15
10 

Length

Max length2
Median length2
Mean length1.8586957
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 69
75.0%
3 13
 
14.1%
15 10
 
10.9%

Length

2024-04-06T21:52:21.109688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:21.315526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 69
75.0%
3 13
 
14.1%
15 10
 
10.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업중
69 
폐업
13 
전출
10 

Length

Max length3
Median length3
Mean length2.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 69
75.0%
폐업 13
 
14.1%
전출 10
 
10.9%

Length

2024-04-06T21:52:21.636974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:22.255959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 69
75.0%
폐업 13
 
14.1%
전출 10
 
10.9%

폐업일자
Date

MISSING 

Distinct22
Distinct (%)95.7%
Missing69
Missing (%)75.0%
Memory size868.0 B
Minimum2008-08-01 00:00:00
Maximum2024-03-04 00:00:00
2024-04-06T21:52:22.488041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:22.743513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

전화번호
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing72
Missing (%)78.3%
Memory size868.0 B
2024-04-06T21:52:23.155138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.65
Min length8

Characters and Unicode

Total characters233
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row859-1181
2nd row070-7615-005
3rd row02-576-6604
4th row02-3442-5293
5th row02)2142-7200
ValueCountFrequency (%)
859-1181 1
 
5.0%
070-7615-005 1
 
5.0%
02-864-5205 1
 
5.0%
070-4667-3601 1
 
5.0%
070-8249-5449 1
 
5.0%
02-866-9377 1
 
5.0%
070-4203-1133 1
 
5.0%
02-790-8668 1
 
5.0%
070-4820-5700 1
 
5.0%
070-4906-9281 1
 
5.0%
Other values (10) 10
50.0%
2024-04-06T21:52:23.841142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 47
20.2%
- 36
15.5%
2 34
14.6%
1 19
8.2%
7 18
 
7.7%
6 18
 
7.7%
4 14
 
6.0%
8 13
 
5.6%
9 12
 
5.2%
5 11
 
4.7%
Other values (2) 11
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 196
84.1%
Dash Punctuation 36
 
15.5%
Close Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
24.0%
2 34
17.3%
1 19
9.7%
7 18
 
9.2%
6 18
 
9.2%
4 14
 
7.1%
8 13
 
6.6%
9 12
 
6.1%
5 11
 
5.6%
3 10
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 233
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 47
20.2%
- 36
15.5%
2 34
14.6%
1 19
8.2%
7 18
 
7.7%
6 18
 
7.7%
4 14
 
6.0%
8 13
 
5.6%
9 12
 
5.2%
5 11
 
4.7%
Other values (2) 11
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 233
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 47
20.2%
- 36
15.5%
2 34
14.6%
1 19
8.2%
7 18
 
7.7%
6 18
 
7.7%
4 14
 
6.0%
8 13
 
5.6%
9 12
 
5.2%
5 11
 
4.7%
Other values (2) 11
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)60.0%
Missing82
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean153333.8
Minimum153023
Maximum153818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-06T21:52:24.075758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153023
5-th percentile153023
Q1153023
median153027
Q3153787
95-th percentile153814.4
Maximum153818
Range795
Interquartile range (IQR)764

Descriptive statistics

Standard deviation399.70178
Coefficient of variation (CV)0.0026067428
Kurtosis-2.2665181
Mean153333.8
Median Absolute Deviation (MAD)4
Skewness0.48714148
Sum1533338
Variance159761.51
MonotonicityNot monotonic
2024-04-06T21:52:24.414665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
153023 5
 
5.4%
153810 1
 
1.1%
153031 1
 
1.1%
153792 1
 
1.1%
153818 1
 
1.1%
153772 1
 
1.1%
(Missing) 82
89.1%
ValueCountFrequency (%)
153023 5
5.4%
153031 1
 
1.1%
153772 1
 
1.1%
153792 1
 
1.1%
153810 1
 
1.1%
153818 1
 
1.1%
ValueCountFrequency (%)
153818 1
 
1.1%
153810 1
 
1.1%
153792 1
 
1.1%
153772 1
 
1.1%
153031 1
 
1.1%
153023 5
5.4%

지번주소
Text

Distinct83
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-06T21:52:24.975849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length30.978261
Min length17

Characters and Unicode

Total characters2850
Distinct characters138
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)80.4%

Sample

1st row서울특별시 금천구 가산동 ***번지
2nd row서울특별시 금천구 독산동 ***-**번지 *층
3rd row서울특별시 금천구 시흥동 ***-*번지 *층
4th row서울특별시 금천구 가산동 **-**번지 한신아이티타워*차 ***, ***호
5th row서울특별시 금천구 가산동 371-28 우림라이온스밸리 A동 1401호
ValueCountFrequency (%)
서울특별시 92
17.9%
금천구 92
17.9%
가산동 77
15.0%
번지 51
9.9%
호 39
7.6%
39
7.6%
독산동 9
 
1.8%
시흥동 6
 
1.2%
우림라이온스밸리 6
 
1.2%
sj테크노빌 5
 
1.0%
Other values (65) 97
18.9%
2024-04-06T21:52:25.753875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 557
19.5%
442
15.5%
시 102
 
3.6%
동 101
 
3.5%
산 94
 
3.3%
서 93
 
3.3%
울 93
 
3.3%
특 92
 
3.2%
별 92
 
3.2%
금 92
 
3.2%
Other values (128) 1092
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1671
58.6%
Other Punctuation 559
 
19.6%
Space Separator 442
 
15.5%
Dash Punctuation 84
 
2.9%
Uppercase Letter 75
 
2.6%
Decimal Number 19
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 102
 
6.1%
동 101
 
6.0%
산 94
 
5.6%
서 93
 
5.6%
울 93
 
5.6%
특 92
 
5.5%
별 92
 
5.5%
금 92
 
5.5%
천 92
 
5.5%
구 92
 
5.5%
Other values (105) 728
43.6%
Uppercase Letter
ValueCountFrequency (%)
I 11
14.7%
C 10
13.3%
Y 9
12.0%
H 8
10.7%
S 7
9.3%
B 7
9.3%
T 7
9.3%
J 5
6.7%
G 5
6.7%
A 3
 
4.0%
Other values (2) 3
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 5
26.3%
8 3
15.8%
2 3
15.8%
3 3
15.8%
7 3
15.8%
4 1
 
5.3%
0 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 557
99.6%
, 2
 
0.4%
Space Separator
ValueCountFrequency (%)
442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1671
58.6%
Common 1104
38.7%
Latin 75
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 102
 
6.1%
동 101
 
6.0%
산 94
 
5.6%
서 93
 
5.6%
울 93
 
5.6%
특 92
 
5.5%
별 92
 
5.5%
금 92
 
5.5%
천 92
 
5.5%
구 92
 
5.5%
Other values (105) 728
43.6%
Latin
ValueCountFrequency (%)
I 11
14.7%
C 10
13.3%
Y 9
12.0%
H 8
10.7%
S 7
9.3%
B 7
9.3%
T 7
9.3%
J 5
6.7%
G 5
6.7%
A 3
 
4.0%
Other values (2) 3
 
4.0%
Common
ValueCountFrequency (%)
* 557
50.5%
442
40.0%
- 84
 
7.6%
1 5
 
0.5%
8 3
 
0.3%
2 3
 
0.3%
3 3
 
0.3%
7 3
 
0.3%
, 2
 
0.2%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1671
58.6%
ASCII 1179
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 557
47.2%
442
37.5%
- 84
 
7.1%
I 11
 
0.9%
C 10
 
0.8%
Y 9
 
0.8%
H 8
 
0.7%
S 7
 
0.6%
B 7
 
0.6%
T 7
 
0.6%
Other values (13) 37
 
3.1%
Hangul
ValueCountFrequency (%)
시 102
 
6.1%
동 101
 
6.0%
산 94
 
5.6%
서 93
 
5.6%
울 93
 
5.6%
특 92
 
5.5%
별 92
 
5.5%
금 92
 
5.5%
천 92
 
5.5%
구 92
 
5.5%
Other values (105) 728
43.6%

도로명주소
Text

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-06T21:52:26.306896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length48
Mean length41.956522
Min length23

Characters and Unicode

Total characters3860
Distinct characters150
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)97.8%

Sample

1st row서울특별시 금천구 가산디지털*로 ** (가산동)
2nd row서울특별시 금천구 독산로**가길 ** (독산동,*층)
3rd row서울특별시 금천구 금하로**길 ** (시흥동,*층)
4th row서울특별시 금천구 디지털로*길 **, ***호 (가산동,한신아이티타워*차 ***,)
5th row서울특별시 금천구 가산디지털1로 168, A동 1401호 (가산동,우림라이온스밸리)
ValueCountFrequency (%)
서울특별시 92
13.7%
금천구 92
13.7%
92
13.7%
호 74
11.0%
가산동 70
10.4%
가산디지털*로 43
 
6.4%
층 16
 
2.4%
디지털로*길 10
 
1.5%
벚꽃로 9
 
1.3%
b동 8
 
1.2%
Other values (93) 165
24.6%
2024-04-06T21:52:27.352499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 683
17.7%
587
 
15.2%
산 144
 
3.7%
, 130
 
3.4%
가 129
 
3.3%
동 114
 
3.0%
시 109
 
2.8%
서 96
 
2.5%
금 95
 
2.5%
울 93
 
2.4%
Other values (140) 1680
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2141
55.5%
Other Punctuation 817
 
21.2%
Space Separator 587
 
15.2%
Uppercase Letter 95
 
2.5%
Open Punctuation 92
 
2.4%
Close Punctuation 92
 
2.4%
Decimal Number 22
 
0.6%
Dash Punctuation 14
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 144
 
6.7%
가 129
 
6.0%
동 114
 
5.3%
시 109
 
5.1%
서 96
 
4.5%
금 95
 
4.4%
울 93
 
4.3%
구 92
 
4.3%
천 92
 
4.3%
별 92
 
4.3%
Other values (116) 1085
50.7%
Uppercase Letter
ValueCountFrequency (%)
B 16
16.8%
C 13
13.7%
I 13
13.7%
Y 11
11.6%
H 10
10.5%
T 8
8.4%
S 7
7.4%
G 6
 
6.3%
J 5
 
5.3%
A 3
 
3.2%
Other values (2) 3
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 8
36.4%
8 5
22.7%
6 5
22.7%
0 3
 
13.6%
4 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
* 683
83.6%
, 130
 
15.9%
. 4
 
0.5%
Space Separator
ValueCountFrequency (%)
587
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2141
55.5%
Common 1624
42.1%
Latin 95
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 144
 
6.7%
가 129
 
6.0%
동 114
 
5.3%
시 109
 
5.1%
서 96
 
4.5%
금 95
 
4.4%
울 93
 
4.3%
구 92
 
4.3%
천 92
 
4.3%
별 92
 
4.3%
Other values (116) 1085
50.7%
Common
ValueCountFrequency (%)
* 683
42.1%
587
36.1%
, 130
 
8.0%
( 92
 
5.7%
) 92
 
5.7%
- 14
 
0.9%
1 8
 
0.5%
8 5
 
0.3%
6 5
 
0.3%
. 4
 
0.2%
Other values (2) 4
 
0.2%
Latin
ValueCountFrequency (%)
B 16
16.8%
C 13
13.7%
I 13
13.7%
Y 11
11.6%
H 10
10.5%
T 8
8.4%
S 7
7.4%
G 6
 
6.3%
J 5
 
5.3%
A 3
 
3.2%
Other values (2) 3
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2141
55.5%
ASCII 1719
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 683
39.7%
587
34.1%
, 130
 
7.6%
( 92
 
5.4%
) 92
 
5.4%
B 16
 
0.9%
- 14
 
0.8%
C 13
 
0.8%
I 13
 
0.8%
Y 11
 
0.6%
Other values (14) 68
 
4.0%
Hangul
ValueCountFrequency (%)
산 144
 
6.7%
가 129
 
6.0%
동 114
 
5.3%
시 109
 
5.1%
서 96
 
4.5%
금 95
 
4.4%
울 93
 
4.3%
구 92
 
4.3%
천 92
 
4.3%
별 92
 
4.3%
Other values (116) 1085
50.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)57.5%
Missing12
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean35758.175
Minimum8501
Maximum153803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-06T21:52:27.764943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8501
5-th percentile8504
Q18509.25
median8567.5
Q38604.75
95-th percentile153790.15
Maximum153803
Range145302
Interquartile range (IQR)95.5

Descriptive statistics

Standard deviation57004.409
Coefficient of variation (CV)1.5941644
Kurtosis0.68001119
Mean35758.175
Median Absolute Deviation (MAD)59
Skewness1.6320564
Sum2860654
Variance3.2495027 × 109
MonotonicityNot monotonic
2024-04-06T21:52:28.090242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
8506 9
 
9.8%
8511 6
 
6.5%
8507 4
 
4.3%
8512 4
 
4.3%
8592 3
 
3.3%
8504 3
 
3.3%
8510 3
 
3.3%
8590 3
 
3.3%
8594 3
 
3.3%
153790 2
 
2.2%
Other values (36) 40
43.5%
(Missing) 12
 
13.0%
ValueCountFrequency (%)
8501 1
 
1.1%
8502 1
 
1.1%
8503 1
 
1.1%
8504 3
 
3.3%
8505 1
 
1.1%
8506 9
9.8%
8507 4
4.3%
8510 3
 
3.3%
8511 6
6.5%
8512 4
4.3%
ValueCountFrequency (%)
153803 1
1.1%
153802 1
1.1%
153794 1
1.1%
153793 1
1.1%
153790 2
2.2%
153787 1
1.1%
153786 1
1.1%
153778 1
1.1%
153772 1
1.1%
153769 1
1.1%

사업장명
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-06T21:52:28.628253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length8.576087
Min length3

Characters and Unicode

Total characters789
Distinct characters190
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

Unique92 ?
Unique (%)100.0%

Sample

1st row(주)한신코퍼레이션
2nd row한돌엔터테인먼트
3rd row은성필림
4th row(주)시네픽스
5th row(주)코리아센터닷컴
ValueCountFrequency (%)
주식회사 21
 
16.8%
영화사 2
 
1.6%
필름 2
 
1.6%
주)한신코퍼레이션 1
 
0.8%
허범욱필름 1
 
0.8%
시네이노베이션 1
 
0.8%
주)영화사그램 1
 
0.8%
꽃다지 1
 
0.8%
시네마케이 1
 
0.8%
플롯 1
 
0.8%
Other values (93) 93
74.4%
2024-04-06T21:52:29.462601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 58
 
7.4%
이 39
 
4.9%
( 37
 
4.7%
) 37
 
4.7%
33
 
4.2%
사 29
 
3.7%
회 24
 
3.0%
식 22
 
2.8%
스 21
 
2.7%
인 14
 
1.8%
Other values (180) 475
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 651
82.5%
Open Punctuation 37
 
4.7%
Close Punctuation 37
 
4.7%
Space Separator 33
 
4.2%
Uppercase Letter 14
 
1.8%
Lowercase Letter 9
 
1.1%
Other Symbol 5
 
0.6%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 58
 
8.9%
이 39
 
6.0%
사 29
 
4.5%
회 24
 
3.7%
식 22
 
3.4%
스 21
 
3.2%
인 14
 
2.2%
터 12
 
1.8%
아 10
 
1.5%
트 10
 
1.5%
Other values (156) 412
63.3%
Uppercase Letter
ValueCountFrequency (%)
C 3
21.4%
H 2
14.3%
U 2
14.3%
L 1
 
7.1%
E 1
 
7.1%
N 1
 
7.1%
A 1
 
7.1%
M 1
 
7.1%
F 1
 
7.1%
S 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
n 2
22.2%
m 1
11.1%
l 1
11.1%
i 1
11.1%
u 1
11.1%
g 1
11.1%
e 1
11.1%
h 1
11.1%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 656
83.1%
Common 110
 
13.9%
Latin 23
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 58
 
8.8%
이 39
 
5.9%
사 29
 
4.4%
회 24
 
3.7%
식 22
 
3.4%
스 21
 
3.2%
인 14
 
2.1%
터 12
 
1.8%
아 10
 
1.5%
트 10
 
1.5%
Other values (157) 417
63.6%
Latin
ValueCountFrequency (%)
C 3
 
13.0%
H 2
 
8.7%
n 2
 
8.7%
U 2
 
8.7%
L 1
 
4.3%
E 1
 
4.3%
N 1
 
4.3%
A 1
 
4.3%
M 1
 
4.3%
m 1
 
4.3%
Other values (8) 8
34.8%
Common
ValueCountFrequency (%)
( 37
33.6%
) 37
33.6%
33
30.0%
& 2
 
1.8%
- 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 651
82.5%
ASCII 133
 
16.9%
None 5
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 58
 
8.9%
이 39
 
6.0%
사 29
 
4.5%
회 24
 
3.7%
식 22
 
3.4%
스 21
 
3.2%
인 14
 
2.2%
터 12
 
1.8%
아 10
 
1.5%
트 10
 
1.5%
Other values (156) 412
63.3%
ASCII
ValueCountFrequency (%)
( 37
27.8%
) 37
27.8%
33
24.8%
C 3
 
2.3%
H 2
 
1.5%
n 2
 
1.5%
& 2
 
1.5%
U 2
 
1.5%
L 1
 
0.8%
E 1
 
0.8%
Other values (13) 13
 
9.8%
None
ValueCountFrequency (%)
㈜ 5
100.0%

최종수정일자
Date

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2010-04-26 16:10:43
Maximum2024-04-01 17:57:24
2024-04-06T21:52:29.791984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:30.195719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
I
63 
U
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 63
68.5%
U 29
31.5%

Length

2024-04-06T21:52:30.564827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:30.757557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 63
68.5%
u 29
31.5%

데이터갱신일자
Date

Distinct55
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-06T21:52:30.969939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:31.276865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

좌표정보(X)
Real number (ℝ)

Distinct57
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189915.69
Minimum189055.14
Maximum192368.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-06T21:52:31.681485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189055.14
5-th percentile189216.73
Q1189522.34
median189704.33
Q3189982.34
95-th percentile191560.51
Maximum192368.44
Range3313.2994
Interquartile range (IQR)460.00781

Descriptive statistics

Standard deviation704.02167
Coefficient of variation (CV)0.0037070222
Kurtosis2.2466752
Mean189915.69
Median Absolute Deviation (MAD)245.26125
Skewness1.6551016
Sum17472243
Variance495646.51
MonotonicityNot monotonic
2024-04-06T21:52:31.945581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189538.020935968 6
 
6.5%
189522.336721798 6
 
6.5%
189722.178532426 5
 
5.4%
189417.678263584 4
 
4.3%
189055.138252216 3
 
3.3%
189920.528610917 3
 
3.3%
189575.815287955 3
 
3.3%
189943.546219232 3
 
3.3%
190021.956927088 2
 
2.2%
189982.344533404 2
 
2.2%
Other values (47) 55
59.8%
ValueCountFrequency (%)
189055.138252216 3
3.3%
189092.729912585 1
 
1.1%
189202.600232089 1
 
1.1%
189228.282678816 1
 
1.1%
189282.557380259 1
 
1.1%
189314.711435401 1
 
1.1%
189325.86426015 1
 
1.1%
189353.050637528 1
 
1.1%
189369.53962474 2
2.2%
189378.332493727 1
 
1.1%
ValueCountFrequency (%)
192368.43764933 1
1.1%
191890.752143685 1
1.1%
191866.386349273 1
1.1%
191633.674109361 1
1.1%
191578.842963722 1
1.1%
191545.516172445 1
1.1%
191491.558661651 1
1.1%
191433.735128169 1
1.1%
191132.625751785 1
1.1%
191064.63489649 1
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct57
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441379.93
Minimum437553.88
Maximum442585.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-06T21:52:32.225121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437553.88
5-th percentile438812.59
Q1441187.57
median441654.01
Q3441959.74
95-th percentile442188.57
Maximum442585.93
Range5032.0514
Interquartile range (IQR)772.17269

Descriptive statistics

Standard deviation949.88045
Coefficient of variation (CV)0.0021520699
Kurtosis4.7303167
Mean441379.93
Median Absolute Deviation (MAD)328.41756
Skewness-2.1177162
Sum40606954
Variance902272.86
MonotonicityNot monotonic
2024-04-06T21:52:32.488028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441982.427934953 6
 
6.5%
441654.010373182 6
 
6.5%
441920.972770099 5
 
5.4%
441342.660096623 4
 
4.3%
441958.334400683 3
 
3.3%
440521.85524888 3
 
3.3%
441503.181731081 3
 
3.3%
441990.817436962 3
 
3.3%
440609.209534256 2
 
2.2%
441928.69040241 2
 
2.2%
Other values (47) 55
59.8%
ValueCountFrequency (%)
437553.881820542 1
 
1.1%
438264.106490314 1
 
1.1%
438507.907687757 1
 
1.1%
438690.814038292 1
 
1.1%
438701.205634976 1
 
1.1%
438903.723095123 1
 
1.1%
439596.295024589 1
 
1.1%
440363.954453659 1
 
1.1%
440521.85524888 3
3.3%
440544.554873089 1
 
1.1%
ValueCountFrequency (%)
442585.933234852 1
1.1%
442493.020182986 1
1.1%
442417.955057116 1
1.1%
442262.659278232 1
1.1%
442205.867457803 1
1.1%
442174.424111843 1
1.1%
442139.514492212 2
2.2%
442066.99866487 1
1.1%
442031.656022304 1
1.1%
442026.468974479 2
2.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
영화제작업
60 
<NA>
32 

Length

Max length5
Median length5
Mean length4.6521739
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 60
65.2%
<NA> 32
34.8%

Length

2024-04-06T21:52:32.854747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:33.038891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 60
65.2%
na 32
34.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
88 
0
 
4

Length

Max length4
Median length4
Mean length3.8695652
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> 88
95.7%
0 4
 
4.3%

Length

2024-04-06T21:52:33.251704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:33.432343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
95.7%
0 4
 
4.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
88 
0
 
4

Length

Max length4
Median length4
Mean length3.8695652
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> 88
95.7%
0 4
 
4.3%

Length

2024-04-06T21:52:33.765942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:33.945717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
95.7%
0 4
 
4.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
88 
0
 
4

Length

Max length4
Median length4
Mean length3.8695652
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> 88
95.7%
0 4
 
4.3%

Length

2024-04-06T21:52:34.110007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:34.307522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
95.7%
0 4
 
4.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
88 
0
 
4

Length

Max length4
Median length4
Mean length3.8695652
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> 88
95.7%
0 4
 
4.3%

Length

2024-04-06T21:52:34.502120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:34.714122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
95.7%
0 4
 
4.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
88 
0
 
4

Length

Max length4
Median length4
Mean length3.8695652
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> 88
95.7%
0 4
 
4.3%

Length

2024-04-06T21:52:34.929578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:35.114405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
95.7%
0 4
 
4.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
88 
0
 
4

Length

Max length4
Median length4
Mean length3.8695652
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> 88
95.7%
0 4
 
4.3%

Length

2024-04-06T21:52:35.303988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:35.500270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
95.7%
0 4
 
4.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
88 
0
 
4

Length

Max length4
Median length4
Mean length3.8695652
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> 88
95.7%
0 4
 
4.3%

Length

2024-04-06T21:52:35.734927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:35.937531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
95.7%
0 4
 
4.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
88 
0
 
4

Length

Max length4
Median length4
Mean length3.8695652
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> 88
95.7%
0 4
 
4.3%

Length

2024-04-06T21:52:36.146178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:36.765071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
95.7%
0 4
 
4.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
88 
0
 
4

Length

Max length4
Median length4
Mean length3.8695652
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> 88
95.7%
0 4
 
4.3%

Length

2024-04-06T21:52:36.974255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:37.160205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
95.7%
0 4
 
4.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)98.3%
Missing32
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean19831344
Minimum2005822
Maximum20211227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-06T21:52:37.421085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005822
5-th percentile20029888
Q120088264
median20140964
Q320170548
95-th percentile20200523
Maximum20211227
Range18205405
Interquartile range (IQR)82284

Descriptive statistics

Standard deviation2340901.1
Coefficient of variation (CV)0.11804047
Kurtosis59.931917
Mean19831344
Median Absolute Deviation (MAD)39506.5
Skewness-7.7394931
Sum1.1898806 × 109
Variance5.4798179 × 1012
MonotonicityNot monotonic
2024-04-06T21:52:37.785558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150616 2
 
2.2%
20170215 1
 
1.1%
20170330 1
 
1.1%
20170515 1
 
1.1%
20170529 1
 
1.1%
20170605 1
 
1.1%
20180302 1
 
1.1%
20180425 1
 
1.1%
20180517 1
 
1.1%
20181018 1
 
1.1%
Other values (49) 49
53.3%
(Missing) 32
34.8%
ValueCountFrequency (%)
2005822 1
1.1%
19961216 1
1.1%
20010619 1
1.1%
20030902 1
1.1%
20040920 1
1.1%
20050905 1
1.1%
20060220 1
1.1%
20061117 1
1.1%
20070418 1
1.1%
20070507 1
1.1%
ValueCountFrequency (%)
20211227 1
1.1%
20210107 1
1.1%
20200611 1
1.1%
20200518 1
1.1%
20200324 1
1.1%
20200304 1
1.1%
20191220 1
1.1%
20190725 1
1.1%
20190415 1
1.1%
20181112 1
1.1%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF521101199600000119961216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153023서울특별시 금천구 가산동 ***번지서울특별시 금천구 가산디지털*로 ** (가산동)<NA>(주)한신코퍼레이션2010-04-26 16:44:36I2018-08-31 23:59:59.0<NA>190021.956927440609.209534영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19961216<NA>
13170000CDFF521101200100000120010619<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153810서울특별시 금천구 독산동 ***-**번지 *층서울특별시 금천구 독산로**가길 ** (독산동,*층)<NA>한돌엔터테인먼트2010-04-26 16:39:27I2018-08-31 23:59:59.0<NA>191578.842964441334.421257영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010619<NA>
23170000CDFF521101200300000120030902<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153031서울특별시 금천구 시흥동 ***-*번지 *층서울특별시 금천구 금하로**길 ** (시흥동,*층)<NA>은성필림2010-04-26 16:36:44I2018-08-31 23:59:59.0<NA>191491.558662438903.723095영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20030902<NA>
33170000CDFF521101200400000220040920<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153023서울특별시 금천구 가산동 **-**번지 한신아이티타워*차 ***, ***호서울특별시 금천구 디지털로*길 **, ***호 (가산동,한신아이티타워*차 ***,)<NA>(주)시네픽스2010-04-26 16:21:01I2018-08-31 23:59:59.0<NA>189834.383376441938.326057영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040920<NA>
43170000CDFF521101200400000320040428<NA>3폐업3폐업20221227<NA><NA><NA><NA><NA>153023서울특별시 금천구 가산동 371-28 우림라이온스밸리 A동 1401호서울특별시 금천구 가산디지털1로 168, A동 1401호 (가산동,우림라이온스밸리)<NA>(주)코리아센터닷컴2022-12-27 11:12:54U2021-11-01 22:09:00.0<NA>189538.020936441982.427935<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53170000CDFF521101200500000120050905<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153792서울특별시 금천구 가산동 ***-**번지 제이플라츠 *층 ***-*호서울특별시 금천구 가산디지털*로 ***, ***-*호 (가산동,제이플라츠 *층)<NA>(주)향기원2010-04-26 16:30:32I2018-08-31 23:59:59.0<NA>189452.382474442205.867458영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050905<NA>
63170000CDFF521101200700000120070507<NA>3폐업3폐업20080801<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 ***번지 삼부르네상스플러스오피스텔 ****호서울특별시 금천구 시흥대로***길 **-**, ****호 (독산동,삼부르네상스플러스오피스텔)<NA>연리지필름2015-05-14 16:37:51I2018-08-31 23:59:59.0<NA>191132.625752441825.157273영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070507<NA>
73170000CDFF521101200800000120080526<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153023서울특별시 금천구 가산동 ***-**번지 남성프라자 **층 ****호서울특별시 금천구 디지털로 ***, ****호 (가산동,남성프라자 **층)<NA>(주)제이엠애니메이션2010-04-26 16:10:43I2018-08-31 23:59:59.0<NA>189472.091899441483.675018영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080526<NA>
83170000CDFF521101200800000220081226<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153023서울특별시 금천구 가산동 **-**번지 한신아이티타워*차 ***호서울특별시 금천구 디지털로*길 **, ***호 (가산동,한신아이티타워*차)<NA>(주)하나필름2010-04-26 16:52:04I2018-08-31 23:59:59.0<NA>189834.383376441938.326057영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20081226<NA>
93170000CDFF521101200800000320080910<NA>1영업/정상13영업중<NA><NA><NA><NA>859-1181<NA>153818서울특별시 금천구 독산동 ***-*번지 광영빌딩 *F서울특별시 금천구 남부순환로 **** (독산동,광영빌딩 *F)<NA>(주)인하우스2010-04-29 17:29:33I2018-08-31 23:59:59.0<NA>191545.516172441963.975261영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080910<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
823170000CDFF52110120220000122022-10-13<NA>5제외/삭제/전출15전출2023-03-29<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 가산테라타워 ****호서울특별시 금천구 디지털로**길 **, 가산테라타워 ****호 (가산동)8517주식회사 레드아이스엔터테인먼트2023-03-29 13:33:48U2022-12-02 21:01:00.0<NA>190185.054136441381.452927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833170000CDFF52110120220000132022-11-16<NA>3폐업3폐업2024-03-04<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**서울특별시 금천구 가산디지털*로 **, **층 (가산동)8593주식회사 정성이앤엠2024-03-05 15:22:06U2023-12-03 00:07:00.0<NA>189525.6001441036.05085<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843170000CDFF52110120230000012023-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 대성디폴리스지식산업센터서울특별시 금천구 서부샛길 ***, 대성디폴리스지식산업센터 B동 ****-*호 (가산동)8504디보프로덕션2023-02-27 17:44:57I2022-12-03 00:01:00.0<NA>189055.138252441958.334401<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853170000CDFF52110120230000022023-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* IT캐슬서울특별시 금천구 가산디지털*로 **, IT캐슬 *동 ****호 (가산동)8506㈜크레비쥬2023-03-09 09:18:30I2022-12-02 23:01:00.0<NA>189369.539625441629.361415<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863170000CDFF52110120230000032023-07-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 ****-* 럭키아파트서울특별시 금천구 시흥대로**길 **, *동 ***호 (시흥동, 럭키아파트)8634불나방씨네마2023-07-12 10:27:18I2022-12-06 23:04:00.0<NA>191026.637158438701.205635<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873170000CDFF52110120230000042020-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 ***-**서울특별시 금천구 범안로**길 *, ***호 (독산동)8585환필름2023-07-25 08:51:33I2022-12-06 22:07:00.0<NA>190804.438764440544.554873<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
883170000CDFF52110120230000052023-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 *** 대륭테크노타운 **차서울특별시 금천구 가산디지털*로 *, 대륭테크노타운 **차 ****호 (가산동)8594라온프로덕션2023-11-22 14:36:16I2022-10-31 22:04:00.0<NA>189920.528611440521.855249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
893170000CDFF52110120230000062023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 **-** SJ테크노빌서울특별시 금천구 벚꽃로 ***, SJ테크노빌 ***, ***호 (가산동)8511(주)에스지 골드 그룹2023-12-20 17:18:03I2022-11-01 22:03:00.0<NA>189722.178532441920.97277<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
903170000CDFF52110120240000012015-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-780-1382<NA><NA>서울특별시 금천구 가산동 **-** 이앤씨드림타워*차서울특별시 금천구 디지털로*길 **, 이앤씨드림타워*차 *층 ***호 (가산동)8512(주)애니작2024-02-13 17:50:59I2023-12-01 23:05:00.0<NA>189943.546219441990.817437<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913170000CDFF52110120240000022024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-*서울특별시 금천구 남부순환로 ****, ****호 (가산동)8527영화사 요새2024-04-01 17:57:24I2023-12-04 00:03:00.0<NA>190302.576828441861.779596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>