Overview

Dataset statistics

Number of variables56
Number of observations39
Missing cells1116
Missing cells (%)51.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.7 KiB
Average record size in memory490.4 B

Variable types

Categorical16
Text9
DateTime3
Unsupported22
Numeric6

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-17307/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (52.3%)Imbalance
문화체육업종명 is highly imbalanced (52.3%)Imbalance
총층수 is highly imbalanced (61.4%)Imbalance
지상층수 is highly imbalanced (61.4%)Imbalance
지하층수 is highly imbalanced (61.4%)Imbalance
통로너비 is highly imbalanced (60.9%)Imbalance
조명시설조도 is highly imbalanced (60.9%)Imbalance
노래방실수 is highly imbalanced (60.9%)Imbalance
청소년실수 is highly imbalanced (60.9%)Imbalance
총게임기수 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 39 (100.0%) missing valuesMissing
폐업일자 has 31 (79.5%) missing valuesMissing
휴업시작일자 has 39 (100.0%) missing valuesMissing
휴업종료일자 has 39 (100.0%) missing valuesMissing
재개업일자 has 39 (100.0%) missing valuesMissing
전화번호 has 20 (51.3%) missing valuesMissing
소재지면적 has 39 (100.0%) missing valuesMissing
소재지우편번호 has 23 (59.0%) missing valuesMissing
도로명주소 has 1 (2.6%) missing valuesMissing
도로명우편번호 has 18 (46.2%) missing valuesMissing
업태구분명 has 39 (100.0%) missing valuesMissing
좌표정보(X) has 8 (20.5%) missing valuesMissing
좌표정보(Y) has 8 (20.5%) missing valuesMissing
주변환경명 has 38 (97.4%) missing valuesMissing
제작취급품목내용 has 17 (43.6%) missing valuesMissing
시설면적 has 21 (53.8%) missing valuesMissing
건물용도명 has 37 (94.9%) missing valuesMissing
비상계단여부 has 39 (100.0%) missing valuesMissing
비상구여부 has 39 (100.0%) missing valuesMissing
자동환기여부 has 39 (100.0%) missing valuesMissing
청소년실여부 has 39 (100.0%) missing valuesMissing
특수조명여부 has 39 (100.0%) missing valuesMissing
방음시설여부 has 39 (100.0%) missing valuesMissing
비디오재생기명 has 39 (100.0%) missing valuesMissing
조명시설유무 has 39 (100.0%) missing valuesMissing
음향시설여부 has 39 (100.0%) missing valuesMissing
편의시설여부 has 39 (100.0%) missing valuesMissing
소방시설여부 has 39 (100.0%) missing valuesMissing
기존게임업외업종명 has 39 (100.0%) missing valuesMissing
제공게임물명 has 39 (100.0%) missing valuesMissing
공연장형태구분명 has 39 (100.0%) missing valuesMissing
품목명 has 39 (100.0%) missing valuesMissing
최초등록시점 has 39 (100.0%) missing valuesMissing
지역구분명 has 36 (92.3%) 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
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
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:14:47.292562
Analysis finished2024-04-29 19:14:48.129615
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
3150000
39 

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 39
100.0%

Length

2024-04-30T04:14:48.197353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:48.283101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 39
100.0%

관리번호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-30T04:14:48.430118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters780
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

Unique39 ?
Unique (%)100.0%

Sample

1st rowCDFF1241112000000001
2nd rowCDFF1241112000000002
3rd rowCDFF1241112000000003
4th rowCDFF1241112001000001
5th rowCDFF1241112001000002
ValueCountFrequency (%)
cdff1241112000000001 1
 
2.6%
cdff1241112014000001 1
 
2.6%
cdff1241112015000002 1
 
2.6%
cdff1241112016000001 1
 
2.6%
cdff1241112016000002 1
 
2.6%
cdff1241112017000001 1
 
2.6%
cdff1241112018000001 1
 
2.6%
cdff1241112018000002 1
 
2.6%
cdff1241112019000001 1
 
2.6%
cdff1241112014000003 1
 
2.6%
Other values (29) 29
74.4%
2024-04-30T04:14:48.697452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 256
32.8%
1 197
25.3%
2 97
 
12.4%
F 78
 
10.0%
4 45
 
5.8%
C 39
 
5.0%
D 39
 
5.0%
3 13
 
1.7%
9 6
 
0.8%
5 3
 
0.4%
Other values (3) 7
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 624
80.0%
Uppercase Letter 156
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 256
41.0%
1 197
31.6%
2 97
 
15.5%
4 45
 
7.2%
3 13
 
2.1%
9 6
 
1.0%
5 3
 
0.5%
6 3
 
0.5%
7 2
 
0.3%
8 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 78
50.0%
C 39
25.0%
D 39
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
80.0%
Latin 156
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 256
41.0%
1 197
31.6%
2 97
 
15.5%
4 45
 
7.2%
3 13
 
2.1%
9 6
 
1.0%
5 3
 
0.5%
6 3
 
0.5%
7 2
 
0.3%
8 2
 
0.3%
Latin
ValueCountFrequency (%)
F 78
50.0%
C 39
25.0%
D 39
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 256
32.8%
1 197
25.3%
2 97
 
12.4%
F 78
 
10.0%
4 45
 
5.8%
C 39
 
5.0%
D 39
 
5.0%
3 13
 
1.7%
9 6
 
0.8%
5 3
 
0.4%
Other values (3) 7
 
0.9%

인허가일자
Date

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2000-04-08 00:00:00
Maximum2021-09-02 00:00:00
2024-04-30T04:14:48.825996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:48.932877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
1
31 
3
8 

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 31
79.5%
3 8
 
20.5%

Length

2024-04-30T04:14:49.045435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:49.121874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
79.5%
3 8
 
20.5%

영업상태명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
영업/정상
31 
폐업
8 

Length

Max length5
Median length5
Mean length4.3846154
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 31
79.5%
폐업 8
 
20.5%

Length

2024-04-30T04:14:49.215108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:49.303083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 31
79.5%
폐업 8
 
20.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
13
31 
3
8 

Length

Max length2
Median length2
Mean length1.7948718
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 31
79.5%
3 8
 
20.5%

Length

2024-04-30T04:14:49.398679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:49.493289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 31
79.5%
3 8
 
20.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
영업중
31 
폐업
8 

Length

Max length3
Median length3
Mean length2.7948718
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 31
79.5%
폐업 8
 
20.5%

Length

2024-04-30T04:14:49.596891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:49.693074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 31
79.5%
폐업 8
 
20.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing31
Missing (%)79.5%
Infinite0
Infinite (%)0.0%
Mean20144301
Minimum20080211
Maximum20200624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T04:14:49.771860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080211
5-th percentile20080523
Q120125748
median20155658
Q320165191
95-th percentile20193547
Maximum20200624
Range120413
Interquartile range (IQR)39442.75

Descriptive statistics

Standard deviation43323.464
Coefficient of variation (CV)0.0021506561
Kurtosis-0.54831316
Mean20144301
Median Absolute Deviation (MAD)19887
Skewness-0.65996736
Sum1.6115441 × 108
Variance1.8769225 × 109
MonotonicityNot monotonic
2024-04-30T04:14:49.867618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20080211 1
 
2.6%
20081103 1
 
2.6%
20160120 1
 
2.6%
20151209 1
 
2.6%
20180404 1
 
2.6%
20140630 1
 
2.6%
20160106 1
 
2.6%
20200624 1
 
2.6%
(Missing) 31
79.5%
ValueCountFrequency (%)
20080211 1
2.6%
20081103 1
2.6%
20140630 1
2.6%
20151209 1
2.6%
20160106 1
2.6%
20160120 1
2.6%
20180404 1
2.6%
20200624 1
2.6%
ValueCountFrequency (%)
20200624 1
2.6%
20180404 1
2.6%
20160120 1
2.6%
20160106 1
2.6%
20151209 1
2.6%
20140630 1
2.6%
20081103 1
2.6%
20080211 1
2.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing20
Missing (%)51.3%
Memory size444.0 B
2024-04-30T04:14:50.025279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.5263158
Min length8

Characters and Unicode

Total characters181
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

Unique19 ?
Unique (%)100.0%

Sample

1st row992-8875
2nd row695-2255
3rd row3662-5037
4th row657-0500
5th row2659-4713
ValueCountFrequency (%)
992-8875 1
 
5.3%
2653-0148 1
 
5.3%
02-3152-8600 1
 
5.3%
02-2603-8678 1
 
5.3%
02-782-7015 1
 
5.3%
02-6968-4930 1
 
5.3%
02-761-2229 1
 
5.3%
2696-4399 1
 
5.3%
2658-3546 1
 
5.3%
511-0880 1
 
5.3%
Other values (9) 9
47.4%
2024-04-30T04:14:50.312986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 26
14.4%
- 25
13.8%
6 25
13.8%
0 23
12.7%
5 18
9.9%
7 13
7.2%
8 12
6.6%
9 11
6.1%
3 11
6.1%
1 9
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
86.2%
Dash Punctuation 25
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 26
16.7%
6 25
16.0%
0 23
14.7%
5 18
11.5%
7 13
8.3%
8 12
7.7%
9 11
7.1%
3 11
7.1%
1 9
 
5.8%
4 8
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 26
14.4%
- 25
13.8%
6 25
13.8%
0 23
12.7%
5 18
9.9%
7 13
7.2%
8 12
6.6%
9 11
6.1%
3 11
6.1%
1 9
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 26
14.4%
- 25
13.8%
6 25
13.8%
0 23
12.7%
5 18
9.9%
7 13
7.2%
8 12
6.6%
9 11
6.1%
3 11
6.1%
1 9
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)81.2%
Missing23
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean157653.56
Minimum157030
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T04:14:50.425905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157030
5-th percentile157030
Q1157545.25
median157853.5
Q3157885.25
95-th percentile157904.75
Maximum157928
Range898
Interquartile range (IQR)340

Descriptive statistics

Standard deviation374.53829
Coefficient of variation (CV)0.0023757046
Kurtosis-0.50217731
Mean157653.56
Median Absolute Deviation (MAD)39
Skewness-1.226428
Sum2522457
Variance140278.93
MonotonicityNot monotonic
2024-04-30T04:14:50.511557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
157030 4
 
10.3%
157861 1
 
2.6%
157877 1
 
2.6%
157884 1
 
2.6%
157839 1
 
2.6%
157862 1
 
2.6%
157896 1
 
2.6%
157846 1
 
2.6%
157928 1
 
2.6%
157897 1
 
2.6%
Other values (3) 3
 
7.7%
(Missing) 23
59.0%
ValueCountFrequency (%)
157030 4
10.3%
157717 1
 
2.6%
157839 1
 
2.6%
157841 1
 
2.6%
157846 1
 
2.6%
157861 1
 
2.6%
157862 1
 
2.6%
157877 1
 
2.6%
157884 1
 
2.6%
157889 1
 
2.6%
ValueCountFrequency (%)
157928 1
2.6%
157897 1
2.6%
157896 1
2.6%
157889 1
2.6%
157884 1
2.6%
157877 1
2.6%
157862 1
2.6%
157861 1
2.6%
157846 1
2.6%
157841 1
2.6%

지번주소
Text

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-30T04:14:50.669588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length28.487179
Min length18

Characters and Unicode

Total characters1111
Distinct characters89
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)84.6%

Sample

1st row서울특별시 강서구 염창동 ***-**번지 ****호
2nd row서울특별시 강서구 화곡동 ***-*번지
3rd row서울특별시 강서구 화곡동 ***-**번지
4th row서울특별시 강서구 등촌동 ***-*번지 *층
5th row서울특별시 강서구 염창동 ***-**번지 대우빌딩
ValueCountFrequency (%)
서울특별시 39
19.1%
강서구 39
19.1%
번지 28
13.7%
호 12
 
5.9%
등촌동 11
 
5.4%
11
 
5.4%
마곡동 10
 
4.9%
층 9
 
4.4%
화곡동 7
 
3.4%
염창동 6
 
2.9%
Other values (27) 32
15.7%
2024-04-30T04:14:50.950658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 229
20.6%
191
17.2%
서 79
 
7.1%
동 44
 
4.0%
강 41
 
3.7%
시 40
 
3.6%
특 39
 
3.5%
별 39
 
3.5%
구 39
 
3.5%
울 39
 
3.5%
Other values (79) 331
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 649
58.4%
Other Punctuation 229
 
20.6%
Space Separator 191
 
17.2%
Dash Punctuation 33
 
3.0%
Letter Number 3
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 79
 
12.2%
동 44
 
6.8%
강 41
 
6.3%
시 40
 
6.2%
특 39
 
6.0%
별 39
 
6.0%
구 39
 
6.0%
울 39
 
6.0%
번 28
 
4.3%
지 28
 
4.3%
Other values (71) 233
35.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
C 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 229
100.0%
Space Separator
ValueCountFrequency (%)
191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 649
58.4%
Common 457
41.1%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 79
 
12.2%
동 44
 
6.8%
강 41
 
6.3%
시 40
 
6.2%
특 39
 
6.0%
별 39
 
6.0%
구 39
 
6.0%
울 39
 
6.0%
번 28
 
4.3%
지 28
 
4.3%
Other values (71) 233
35.9%
Common
ValueCountFrequency (%)
* 229
50.1%
191
41.8%
- 33
 
7.2%
) 2
 
0.4%
( 2
 
0.4%
Latin
ValueCountFrequency (%)
Ⅱ 3
60.0%
B 1
 
20.0%
C 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 649
58.4%
ASCII 459
41.3%
Number Forms 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 229
49.9%
191
41.6%
- 33
 
7.2%
) 2
 
0.4%
( 2
 
0.4%
B 1
 
0.2%
C 1
 
0.2%
Hangul
ValueCountFrequency (%)
서 79
 
12.2%
동 44
 
6.8%
강 41
 
6.3%
시 40
 
6.2%
특 39
 
6.0%
별 39
 
6.0%
구 39
 
6.0%
울 39
 
6.0%
번 28
 
4.3%
지 28
 
4.3%
Other values (71) 233
35.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명주소
Text

MISSING 

Distinct37
Distinct (%)97.4%
Missing1
Missing (%)2.6%
Memory size444.0 B
2024-04-30T04:14:51.151691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40.5
Mean length36.578947
Min length23

Characters and Unicode

Total characters1390
Distinct characters114
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)94.7%

Sample

1st row서울특별시 강서구 양천로 *** (염창동,****호)
2nd row서울특별시 강서구 강서로**길 ***-** (화곡동)
3rd row서울특별시 강서구 가로공원로 ***-* (화곡동)
4th row서울특별시 강서구 화곡로**길 ** (등촌동,*층)
5th row서울특별시 강서구 공항대로 *** (염창동,대우빌딩)
ValueCountFrequency (%)
39
15.7%
서울특별시 38
15.3%
강서구 38
15.3%
호 19
 
7.7%
층 11
 
4.4%
마곡동 10
 
4.0%
양천로 10
 
4.0%
등촌동 5
 
2.0%
공항대로 5
 
2.0%
가양동 4
 
1.6%
Other values (49) 69
27.8%
2024-04-30T04:14:51.467099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 229
16.5%
225
16.2%
서 84
 
6.0%
강 47
 
3.4%
동 47
 
3.4%
, 45
 
3.2%
로 42
 
3.0%
( 41
 
2.9%
) 41
 
2.9%
시 39
 
2.8%
Other values (104) 550
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 795
57.2%
Other Punctuation 274
 
19.7%
Space Separator 225
 
16.2%
Open Punctuation 41
 
2.9%
Close Punctuation 41
 
2.9%
Dash Punctuation 6
 
0.4%
Uppercase Letter 5
 
0.4%
Letter Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 84
 
10.6%
강 47
 
5.9%
동 47
 
5.9%
로 42
 
5.3%
시 39
 
4.9%
특 38
 
4.8%
별 38
 
4.8%
구 38
 
4.8%
울 38
 
4.8%
곡 30
 
3.8%
Other values (94) 354
44.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 1
 
20.0%
C 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
* 229
83.6%
, 45
 
16.4%
Space Separator
ValueCountFrequency (%)
225
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 795
57.2%
Common 587
42.2%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 84
 
10.6%
강 47
 
5.9%
동 47
 
5.9%
로 42
 
5.3%
시 39
 
4.9%
특 38
 
4.8%
별 38
 
4.8%
구 38
 
4.8%
울 38
 
4.8%
곡 30
 
3.8%
Other values (94) 354
44.5%
Common
ValueCountFrequency (%)
* 229
39.0%
225
38.3%
, 45
 
7.7%
( 41
 
7.0%
) 41
 
7.0%
- 6
 
1.0%
Latin
ValueCountFrequency (%)
B 3
37.5%
Ⅱ 3
37.5%
A 1
 
12.5%
C 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 795
57.2%
ASCII 592
42.6%
Number Forms 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 229
38.7%
225
38.0%
, 45
 
7.6%
( 41
 
6.9%
) 41
 
6.9%
- 6
 
1.0%
B 3
 
0.5%
A 1
 
0.2%
C 1
 
0.2%
Hangul
ValueCountFrequency (%)
서 84
 
10.6%
강 47
 
5.9%
동 47
 
5.9%
로 42
 
5.3%
시 39
 
4.9%
특 38
 
4.8%
별 38
 
4.8%
구 38
 
4.8%
울 38
 
4.8%
곡 30
 
3.8%
Other values (94) 354
44.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)66.7%
Missing18
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean7640.0952
Minimum7528
Maximum7806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T04:14:51.571455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7528
5-th percentile7528
Q17547
median7587
Q37788
95-th percentile7806
Maximum7806
Range278
Interquartile range (IQR)241

Descriptive statistics

Standard deviation116.10035
Coefficient of variation (CV)0.015196191
Kurtosis-1.6107484
Mean7640.0952
Median Absolute Deviation (MAD)55
Skewness0.57516153
Sum160442
Variance13479.29
MonotonicityNot monotonic
2024-04-30T04:14:51.678817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7788 4
 
10.3%
7547 2
 
5.1%
7528 2
 
5.1%
7631 2
 
5.1%
7806 2
 
5.1%
7529 1
 
2.6%
7587 1
 
2.6%
7532 1
 
2.6%
7575 1
 
2.6%
7545 1
 
2.6%
Other values (4) 4
 
10.3%
(Missing) 18
46.2%
ValueCountFrequency (%)
7528 2
5.1%
7529 1
2.6%
7532 1
2.6%
7545 1
2.6%
7547 2
5.1%
7548 1
2.6%
7549 1
2.6%
7575 1
2.6%
7587 1
2.6%
7600 1
2.6%
ValueCountFrequency (%)
7806 2
5.1%
7801 1
 
2.6%
7788 4
10.3%
7631 2
5.1%
7600 1
 
2.6%
7587 1
 
2.6%
7575 1
 
2.6%
7549 1
 
2.6%
7548 1
 
2.6%
7547 2
5.1%

사업장명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-30T04:14:51.866914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.1794872
Min length4

Characters and Unicode

Total characters358
Distinct characters109
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row씨포유미디어(주)
2nd row윈엔터테인먼트
3rd row엑스레이트필름
4th row창성엔터테인먼트
5th row(주)한국스타티브이채널브이
ValueCountFrequency (%)
주식회사 9
 
17.6%
씨포유미디어(주 1
 
2.0%
엔로벤 1
 
2.0%
주)에스엔알미디어 1
 
2.0%
해피웍스 1
 
2.0%
미디어 1
 
2.0%
주시회사 1
 
2.0%
식스아이즈 1
 
2.0%
오렌지베리 1
 
2.0%
주)에이나인미디어 1
 
2.0%
Other values (33) 33
64.7%
2024-04-30T04:14:52.176704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
 
8.1%
( 19
 
5.3%
) 19
 
5.3%
이 15
 
4.2%
미 15
 
4.2%
어 13
 
3.6%
12
 
3.4%
디 12
 
3.4%
스 11
 
3.1%
사 11
 
3.1%
Other values (99) 202
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
85.5%
Open Punctuation 19
 
5.3%
Close Punctuation 19
 
5.3%
Space Separator 12
 
3.4%
Dash Punctuation 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
9.5%
이 15
 
4.9%
미 15
 
4.9%
어 13
 
4.2%
디 12
 
3.9%
스 11
 
3.6%
사 11
 
3.6%
리 10
 
3.3%
식 10
 
3.3%
회 10
 
3.3%
Other values (94) 170
55.6%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
85.8%
Common 51
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
9.4%
이 15
 
4.9%
미 15
 
4.9%
어 13
 
4.2%
디 12
 
3.9%
스 11
 
3.6%
사 11
 
3.6%
리 10
 
3.3%
식 10
 
3.3%
회 10
 
3.3%
Other values (95) 171
55.7%
Common
ValueCountFrequency (%)
( 19
37.3%
) 19
37.3%
12
23.5%
- 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
85.5%
ASCII 51
 
14.2%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
 
9.5%
이 15
 
4.9%
미 15
 
4.9%
어 13
 
4.2%
디 12
 
3.9%
스 11
 
3.6%
사 11
 
3.6%
리 10
 
3.3%
식 10
 
3.3%
회 10
 
3.3%
Other values (94) 170
55.6%
ASCII
ValueCountFrequency (%)
( 19
37.3%
) 19
37.3%
12
23.5%
- 1
 
2.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2007-08-01 17:36:01
Maximum2023-09-22 13:27:56
2024-04-30T04:14:52.301543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:52.420432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
I
35 
U
4 

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 35
89.7%
U 4
 
10.3%

Length

2024-04-30T04:14:52.515558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:52.601930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 35
89.7%
u 4
 
10.3%

데이터갱신일자
Date

Distinct13
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 22:04:00
2024-04-30T04:14:52.678720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:52.800912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)90.3%
Missing8
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean186852.24
Minimum184655.26
Maximum189145.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T04:14:52.904427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184655.26
5-th percentile184709.2
Q1186077.21
median186924.8
Q3187749.95
95-th percentile188213.49
Maximum189145.46
Range4490.1916
Interquartile range (IQR)1672.7392

Descriptive statistics

Standard deviation1120.0767
Coefficient of variation (CV)0.0059944517
Kurtosis-0.3831982
Mean186852.24
Median Absolute Deviation (MAD)894.43422
Skewness-0.29197351
Sum5792419.4
Variance1254571.9
MonotonicityNot monotonic
2024-04-30T04:14:53.024484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
187952.560027898 3
 
7.7%
186501.233192961 2
 
5.1%
185648.451580562 1
 
2.6%
187680.67449684 1
 
2.6%
187381.316533948 1
 
2.6%
184685.391570804 1
 
2.6%
187142.520159168 1
 
2.6%
184733.0 1
 
2.6%
184655.264279055 1
 
2.6%
188134.710395972 1
 
2.6%
Other values (18) 18
46.2%
(Missing) 8
20.5%
ValueCountFrequency (%)
184655.264279055 1
2.6%
184685.391570804 1
2.6%
184733.0 1
2.6%
185648.451580562 1
2.6%
185826.16159447 1
2.6%
185851.053632398 1
2.6%
185926.715920448 1
2.6%
185955.038210344 1
2.6%
186199.387942764 1
2.6%
186299.74267687 1
2.6%
ValueCountFrequency (%)
189145.455894355 1
 
2.6%
188292.275479153 1
 
2.6%
188134.710395972 1
 
2.6%
187952.560027898 3
7.7%
187846.66220879 1
 
2.6%
187819.230114474 1
 
2.6%
187680.67449684 1
 
2.6%
187645.622009373 1
 
2.6%
187516.572228617 1
 
2.6%
187483.10765074 1
 
2.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)90.3%
Missing8
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean450336.15
Minimum447542.04
Maximum451925.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T04:14:53.123198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447542.04
5-th percentile448136.06
Q1450058.12
median450600.11
Q3450972.67
95-th percentile451874.15
Maximum451925.15
Range4383.1131
Interquartile range (IQR)914.54791

Descriptive statistics

Standard deviation1179.7972
Coefficient of variation (CV)0.0026198147
Kurtosis0.12822392
Mean450336.15
Median Absolute Deviation (MAD)451.79756
Skewness-0.91306098
Sum13960421
Variance1391921.5
MonotonicityNot monotonic
2024-04-30T04:14:53.398460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
450562.020225978 3
 
7.7%
451485.251875922 2
 
5.1%
448382.364424522 1
 
2.6%
450148.314556152 1
 
2.6%
450751.226503557 1
 
2.6%
450700.800441252 1
 
2.6%
450809.366186016 1
 
2.6%
451884.0 1
 
2.6%
451864.298152252 1
 
2.6%
450297.529816041 1
 
2.6%
Other values (18) 18
46.2%
(Missing) 8
20.5%
ValueCountFrequency (%)
447542.041050666 1
2.6%
448054.788172052 1
2.6%
448217.340122774 1
2.6%
448382.364424522 1
2.6%
448388.459353332 1
2.6%
449195.917330543 1
2.6%
449483.688743756 1
2.6%
449967.924252308 1
2.6%
450148.314556152 1
2.6%
450203.902242841 1
2.6%
ValueCountFrequency (%)
451925.154188831 1
2.6%
451884.0 1
2.6%
451864.298152252 1
2.6%
451634.919975729 1
2.6%
451485.251875922 2
5.1%
451148.121554996 1
2.6%
451007.457414935 1
2.6%
450937.877207072 1
2.6%
450809.366186016 1
2.6%
450792.695579673 1
2.6%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
비디오물배급업
35 
<NA>
4 

Length

Max length7
Median length7
Mean length6.6923077
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 35
89.7%
<NA> 4
 
10.3%

Length

2024-04-30T04:14:53.497142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:53.593796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 35
89.7%
na 4
 
10.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
23 
유통관련업
16 

Length

Max length5
Median length4
Mean length4.4102564
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
59.0%
유통관련업 16
41.0%

Length

2024-04-30T04:14:53.685803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:53.785685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
59.0%
유통관련업 16
41.0%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
33 
0
 
3
6
 
1
19
 
1
14
 
1

Length

Max length4
Median length4
Mean length3.5897436
Min length1

Unique

Unique3 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
84.6%
0 3
 
7.7%
6 1
 
2.6%
19 1
 
2.6%
14 1
 
2.6%

Length

2024-04-30T04:14:53.883110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:53.976290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
84.6%
0 3
 
7.7%
6 1
 
2.6%
19 1
 
2.6%
14 1
 
2.6%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing38
Missing (%)97.4%
Memory size444.0 B
2024-04-30T04:14:54.044399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-30T04:14:54.245156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Text

MISSING 

Distinct13
Distinct (%)59.1%
Missing17
Missing (%)43.6%
Memory size444.0 B
2024-04-30T04:14:54.401715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length8.5909091
Min length2

Characters and Unicode

Total characters189
Distinct characters57
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)45.5%

Sample

1st row비디오물
2nd row비디오물
3rd row방송 등 프로그램
4th row영화
5th row비디오물
ValueCountFrequency (%)
비디오물 8
19.5%
영상물 3
 
7.3%
dvd 2
 
4.9%
등 2
 
4.9%
영화 2
 
4.9%
방송프로그램 2
 
4.9%
배급 2
 
4.9%
드라마 2
 
4.9%
영상컨텐츠 1
 
2.4%
영상홍보물 1
 
2.4%
Other values (16) 16
39.0%
2024-04-30T04:14:54.659456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
10.1%
물 16
 
8.5%
, 13
 
6.9%
영 12
 
6.3%
비 10
 
5.3%
오 10
 
5.3%
디 10
 
5.3%
상 9
 
4.8%
D 7
 
3.7%
V 4
 
2.1%
Other values (47) 79
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
74.6%
Space Separator 19
 
10.1%
Other Punctuation 14
 
7.4%
Uppercase Letter 14
 
7.4%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 16
 
11.3%
영 12
 
8.5%
비 10
 
7.1%
오 10
 
7.1%
디 10
 
7.1%
상 9
 
6.4%
방 4
 
2.8%
송 4
 
2.8%
램 3
 
2.1%
제 3
 
2.1%
Other values (39) 60
42.6%
Uppercase Letter
ValueCountFrequency (%)
D 7
50.0%
V 4
28.6%
R 2
 
14.3%
A 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
. 1
 
7.1%
Space Separator
ValueCountFrequency (%)
19
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
74.6%
Common 34
 
18.0%
Latin 14
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 16
 
11.3%
영 12
 
8.5%
비 10
 
7.1%
오 10
 
7.1%
디 10
 
7.1%
상 9
 
6.4%
방 4
 
2.8%
송 4
 
2.8%
램 3
 
2.1%
제 3
 
2.1%
Other values (39) 60
42.6%
Common
ValueCountFrequency (%)
19
55.9%
, 13
38.2%
3 1
 
2.9%
. 1
 
2.9%
Latin
ValueCountFrequency (%)
D 7
50.0%
V 4
28.6%
R 2
 
14.3%
A 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
74.6%
ASCII 48
 
25.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
39.6%
, 13
27.1%
D 7
 
14.6%
V 4
 
8.3%
R 2
 
4.2%
3 1
 
2.1%
A 1
 
2.1%
. 1
 
2.1%
Hangul
ValueCountFrequency (%)
물 16
 
11.3%
영 12
 
8.5%
비 10
 
7.1%
오 10
 
7.1%
디 10
 
7.1%
상 9
 
6.4%
방 4
 
2.8%
송 4
 
2.8%
램 3
 
2.1%
제 3
 
2.1%
Other values (39) 60
42.6%

시설면적
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing21
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean110.73667
Minimum10
Maximum283.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T04:14:54.758607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11.7
Q144.6025
median122.36
Q3155.3575
95-th percentile220.1045
Maximum283.03
Range273.03
Interquartile range (IQR)110.755

Descriptive statistics

Standard deviation77.519289
Coefficient of variation (CV)0.70003271
Kurtosis-0.3539423
Mean110.73667
Median Absolute Deviation (MAD)66.175
Skewness0.51339629
Sum1993.26
Variance6009.2401
MonotonicityNot monotonic
2024-04-30T04:14:54.855288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
283.03 1
 
2.6%
10.0 1
 
2.6%
66.04 1
 
2.6%
115.18 1
 
2.6%
12.0 1
 
2.6%
132.0 1
 
2.6%
36.65 1
 
2.6%
26.4 1
 
2.6%
207.27 1
 
2.6%
65.12 1
 
2.6%
Other values (8) 8
 
20.5%
(Missing) 21
53.8%
ValueCountFrequency (%)
10.0 1
2.6%
12.0 1
2.6%
26.4 1
2.6%
36.65 1
2.6%
43.72 1
2.6%
47.25 1
2.6%
65.12 1
2.6%
66.04 1
2.6%
115.18 1
2.6%
129.54 1
2.6%
ValueCountFrequency (%)
283.03 1
2.6%
209.0 1
2.6%
207.27 1
2.6%
168.57 1
2.6%
160.0 1
2.6%
141.43 1
2.6%
140.06 1
2.6%
132.0 1
2.6%
129.54 1
2.6%
115.18 1
2.6%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
33 
0
 
3
4
 
1
14
 
1
10
 
1

Length

Max length4
Median length4
Mean length3.5897436
Min length1

Unique

Unique3 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
84.6%
0 3
 
7.7%
4 1
 
2.6%
14 1
 
2.6%
10 1
 
2.6%

Length

2024-04-30T04:14:54.962804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:55.062721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
84.6%
0 3
 
7.7%
4 1
 
2.6%
14 1
 
2.6%
10 1
 
2.6%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
33 
0
 
3
2
 
1
5
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.5384615
Min length1

Unique

Unique3 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
84.6%
0 3
 
7.7%
2 1
 
2.6%
5 1
 
2.6%
4 1
 
2.6%

Length

2024-04-30T04:14:55.171670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:55.270878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
84.6%
0 3
 
7.7%
2 1
 
2.6%
5 1
 
2.6%
4 1
 
2.6%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing37
Missing (%)94.9%
Memory size444.0 B
2024-04-30T04:14:55.380821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length4.5
Min length3

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row근린생활시설
2nd row사무실
ValueCountFrequency (%)
근린생활시설 1
50.0%
사무실 1
50.0%
2024-04-30T04:14:55.600429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-04-30T04:14:55.710005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:55.798615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-04-30T04:14:55.912769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:56.017272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-04-30T04:14:56.111794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:56.198690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-04-30T04:14:56.300060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:56.389693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
0
 
3

Length

Max length4
Median length4
Mean length3.7692308
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> 36
92.3%
0 3
 
7.7%

Length

2024-04-30T04:14:56.488977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:56.592731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
0 3
 
7.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing36
Missing (%)92.3%
Memory size444.0 B
2024-04-30T04:14:56.691339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters18
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row일반주거지역
2nd row일반주거지역
3rd row일반상업지역
ValueCountFrequency (%)
일반주거지역 2
66.7%
일반상업지역 1
33.3%
2024-04-30T04:14:56.909441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 3
16.7%
반 3
16.7%
지 3
16.7%
역 3
16.7%
주 2
11.1%
거 2
11.1%
상 1
 
5.6%
업 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 3
16.7%
반 3
16.7%
지 3
16.7%
역 3
16.7%
주 2
11.1%
거 2
11.1%
상 1
 
5.6%
업 1
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 3
16.7%
반 3
16.7%
지 3
16.7%
역 3
16.7%
주 2
11.1%
거 2
11.1%
상 1
 
5.6%
업 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 3
16.7%
반 3
16.7%
지 3
16.7%
역 3
16.7%
주 2
11.1%
거 2
11.1%
상 1
 
5.6%
업 1
 
5.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF124111200000000120001215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157861서울특별시 강서구 염창동 ***-**번지 ****호서울특별시 강서구 양천로 *** (염창동,****호)<NA>씨포유미디어(주)2008-11-17 13:22:08I2018-08-31 23:59:59.0<NA>187952.560028450562.020226비디오물배급업유통관련업<NA><NA>비디오물207.27<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
13150000CDFF124111200000000220001102<NA>1영업/정상13영업중<NA><NA><NA><NA>992-8875<NA>157877서울특별시 강서구 화곡동 ***-*번지서울특별시 강서구 강서로**길 ***-** (화곡동)<NA>윈엔터테인먼트2007-08-09 14:03:55I2018-08-31 23:59:59.0<NA>186924.79589448217.340123비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23150000CDFF124111200000000320000408<NA>1영업/정상13영업중<NA><NA><NA><NA>695-2255<NA>157884서울특별시 강서구 화곡동 ***-**번지서울특별시 강서구 가로공원로 ***-* (화곡동)<NA>엑스레이트필름2007-08-09 14:05:37I2018-08-31 23:59:59.0<NA>185648.451581448382.364425비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33150000CDFF124111200100000120010228<NA>1영업/정상13영업중<NA><NA><NA><NA>3662-5037<NA>157839서울특별시 강서구 등촌동 ***-*번지 *층서울특별시 강서구 화곡로**길 ** (등촌동,*층)<NA>창성엔터테인먼트2007-08-09 14:06:46I2018-08-31 23:59:59.0<NA>187483.107651450600.112118비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43150000CDFF124111200100000220010615<NA>1영업/정상13영업중<NA><NA><NA><NA>657-0500<NA>157862서울특별시 강서구 염창동 ***-**번지 대우빌딩서울특별시 강서구 공항대로 *** (염창동,대우빌딩)<NA>(주)한국스타티브이채널브이2007-08-09 14:08:16I2018-08-31 23:59:59.0<NA>189145.455894449483.688744비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53150000CDFF124111200100000320010716<NA>3폐업3폐업20080211<NA><NA><NA>2659-4713<NA>157030서울특별시 강서구 등촌동 ***번지서울특별시 강서구 강서로**길 ** (등촌동)<NA>(주)월드이벤트티브이2008-02-12 10:59:27I2018-08-31 23:59:59.0<NA>185851.053632450781.44123비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63150000CDFF124111200100000420011112<NA>1영업/정상13영업중<NA><NA><NA><NA>657-0700<NA>157030서울특별시 강서구 등촌동 ***-*번지 우리벤처타운 *층서울특별시 강서구 강서로 *** (등촌동,우리벤처타운 *층)<NA>(주)아리수미디어2007-08-09 14:11:22I2018-08-31 23:59:59.0<NA>185926.71592451634.919976비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73150000CDFF124111200200000120020719<NA>3폐업3폐업20081103<NA><NA><NA>2646-2356<NA>157896서울특별시 강서구 화곡동 ***-**번지서울특별시 강서구 등촌로 ** (화곡동)<NA>선일미디어2008-11-03 16:11:21I2018-08-31 23:59:59.0<NA>187846.662209448054.788172비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83150000CDFF124111200300000120030104<NA>3폐업3폐업20160120<NA><NA><NA>2664-7422<NA>157846서울특별시 강서구 방화동 ***-**번지<NA><NA>(주)미라클상사2016-01-20 14:42:00I2018-08-31 23:59:59.0<NA><NA><NA>비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93150000CDFF124111200300000220030326<NA>1영업/정상13영업중<NA><NA><NA><NA>2696-0137<NA>157928서울특별시 강서구 화곡동 ****-**번지 *층서울특별시 강서구 까치산로 *** (화곡동,*층)<NA>강앤뮤직2007-08-09 14:14:41I2018-08-31 23:59:59.0<NA>186908.675022449967.924252비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
293150000CDFF12411120190000022019-09-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 *** 두산더랜드파크서울특별시 강서구 마곡중앙로 ***-*, 두산더랜드파크 A동 *층 ***호 (마곡동)7788(주)콘텐츠플레이2023-09-22 13:27:56U2022-12-08 22:04:00.0<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>
303150000CDFF124111201900000320191104<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-*번지 두산더랜드타워서울특별시 강서구 마곡서로 ***, 두산더랜드타워 비동 ****호 (마곡동)7788주식회사 크리메이트미디어2019-11-04 13:45:30I2019-11-06 00:23:08.0<NA><NA><NA>비디오물배급업<NA><NA><NA>영상컨텐츠, 드라마, 영화, 음원, 컨텐츠 퍼블리싱36.65<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313150000CDFF124111201900000420191202<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 *** 두산더랜드파크 C동 ***호서울특별시 강서구 마곡중앙로 ***-*, 두산더랜드파크 C동 ***호 (마곡동)7788(주)해비치미디어2022-05-10 15:01:57U2021-12-04 23:02:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323150000CDFF124111202000000120100118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 마곡나루역프라이빗타워Ⅱ서울특별시 강서구 마곡중앙로 ***, 마곡나루역프라이빗타워Ⅱ ***호 (마곡동)7788주식회사 이노스토리2020-10-14 10:12:47I2020-10-16 00:23:10.0<NA>184733.0451884.0비디오물배급업<NA>14기타비디오영상물, 방송제작물, 광고영상물, 영상홍보물132.0104사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
333150000CDFF124111202100000120120418<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***서울특별시 강서구 공항대로 ***, 마곡엠밸리*단지 ***호 (마곡동)7600(주)콘텐츠게이트2021-06-11 16:16:42I2021-06-13 00:22:54.0<NA><NA><NA>비디오물배급업<NA><NA><NA>DVD12.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343150000CDFF124111202100000220210723<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3152-8600<NA><NA>서울특별시 강서구 등촌동 ***-* ****호서울특별시 강서구 화곡로**길 **, ****호 (등촌동)7548주식회사 윤앤컴퍼니2021-07-23 16:40:38I2021-07-25 00:23:01.0<NA>187142.520159450809.366186비디오물배급업<NA>0<NA>영상물115.1800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
353150000CDFF124111202100000320210902<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 보타닉파크타워* ***-*호서울특별시 강서구 마곡중앙*로 **, 보타닉파크타워* *층 ***-*(*)호 (마곡동)7801주식회사 스나미프로덕션2021-09-02 14:36:45I2021-09-04 00:22:49.0<NA><NA><NA>비디오물배급업<NA>0<NA>방송프로그램 제작업66.0400<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
363150000CDFF124111202100000420200731<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 우성에스비타워Ⅱ ***호서울특별시 강서구 공항대로 ***, 우성에스비타워Ⅱ ***호 (마곡동)7806주식회사 에이뮤즈2021-11-04 17:42:23I2021-11-06 00:22:45.0<NA><NA><NA>비디오물배급업<NA>0<NA>비디오물10.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
373150000CDFF12411120230000012017-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* ***호서울특별시 강서구 마곡중앙*로 *, ***호 (마곡동)7631주식회사 비욘드익스피어리언스2023-03-20 10:22:17I2022-12-02 22:02:00.0<NA>184685.391571450700.800441<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383150000CDFF12411120230000022009-10-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-716-8550<NA><NA>서울특별시 강서구 등촌동 ***-*서울특별시 강서구 양천로 ***, ****, ****호 (등촌동)7549(주)아바엔터테인먼트2023-07-17 13:31:58I2022-12-06 23:09:00.0<NA>187381.316534450751.226504<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>