Overview

Dataset statistics

Number of variables56
Number of observations179
Missing cells5043
Missing cells (%)50.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory85.1 KiB
Average record size in memory486.7 B

Variable types

Categorical16
Text9
DateTime4
Unsupported22
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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-17381/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
영업상태코드 is highly imbalanced (53.5%)Imbalance
영업상태명 is highly imbalanced (53.5%)Imbalance
상세영업상태코드 is highly imbalanced (53.5%)Imbalance
상세영업상태명 is highly imbalanced (53.5%)Imbalance
총층수 is highly imbalanced (87.3%)Imbalance
지상층수 is highly imbalanced (86.9%)Imbalance
지하층수 is highly imbalanced (87.1%)Imbalance
통로너비 is highly imbalanced (84.6%)Imbalance
조명시설조도 is highly imbalanced (84.6%)Imbalance
노래방실수 is highly imbalanced (84.6%)Imbalance
청소년실수 is highly imbalanced (84.6%)Imbalance
총게임기수 is highly imbalanced (84.6%)Imbalance
인허가취소일자 has 179 (100.0%) missing valuesMissing
폐업일자 has 153 (85.5%) missing valuesMissing
휴업시작일자 has 179 (100.0%) missing valuesMissing
휴업종료일자 has 179 (100.0%) missing valuesMissing
재개업일자 has 179 (100.0%) missing valuesMissing
전화번호 has 91 (50.8%) missing valuesMissing
소재지면적 has 179 (100.0%) missing valuesMissing
소재지우편번호 has 128 (71.5%) missing valuesMissing
도로명우편번호 has 10 (5.6%) missing valuesMissing
업태구분명 has 179 (100.0%) missing valuesMissing
주변환경명 has 178 (99.4%) missing valuesMissing
제작취급품목내용 has 78 (43.6%) missing valuesMissing
시설면적 has 110 (61.5%) missing valuesMissing
건물용도명 has 178 (99.4%) missing valuesMissing
비상계단여부 has 179 (100.0%) missing valuesMissing
비상구여부 has 179 (100.0%) missing valuesMissing
자동환기여부 has 179 (100.0%) missing valuesMissing
청소년실여부 has 179 (100.0%) missing valuesMissing
특수조명여부 has 179 (100.0%) missing valuesMissing
방음시설여부 has 179 (100.0%) missing valuesMissing
비디오재생기명 has 179 (100.0%) missing valuesMissing
조명시설유무 has 179 (100.0%) missing valuesMissing
음향시설여부 has 179 (100.0%) missing valuesMissing
편의시설여부 has 179 (100.0%) missing valuesMissing
소방시설여부 has 179 (100.0%) missing valuesMissing
기존게임업외업종명 has 179 (100.0%) missing valuesMissing
제공게임물명 has 179 (100.0%) missing valuesMissing
공연장형태구분명 has 179 (100.0%) missing valuesMissing
품목명 has 179 (100.0%) missing valuesMissing
최초등록시점 has 179 (100.0%) missing valuesMissing
지역구분명 has 178 (99.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 started2024-05-11 05:32:39.994243
Analysis finished2024-05-11 05:32:41.212248
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3140000
179 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 179
100.0%

Length

2024-05-11T14:32:41.315205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:41.488979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 179
100.0%

관리번호
Text

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T14:32:41.772567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3580
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

Unique179 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071991000001
2nd rowCDFF1241071994000001
3rd rowCDFF1241071995000001
4th rowCDFF1241071998000001
5th rowCDFF1241071999000002
ValueCountFrequency (%)
cdff1241071991000001 1
 
0.6%
cdff1241072013000001 1
 
0.6%
cdff1241072019000002 1
 
0.6%
cdff1241072018000002 1
 
0.6%
cdff1241072018000003 1
 
0.6%
cdff1241072018000005 1
 
0.6%
cdff1241072018000006 1
 
0.6%
cdff1241072018000007 1
 
0.6%
cdff1241072018000008 1
 
0.6%
cdff1241072018000009 1
 
0.6%
Other values (169) 169
94.4%
2024-05-11T14:32:42.320927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1321
36.9%
1 501
 
14.0%
2 461
 
12.9%
F 358
 
10.0%
7 208
 
5.8%
4 206
 
5.8%
C 179
 
5.0%
D 179
 
5.0%
3 41
 
1.1%
9 37
 
1.0%
Other values (3) 89
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2864
80.0%
Uppercase Letter 716
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1321
46.1%
1 501
 
17.5%
2 461
 
16.1%
7 208
 
7.3%
4 206
 
7.2%
3 41
 
1.4%
9 37
 
1.3%
6 32
 
1.1%
8 30
 
1.0%
5 27
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 358
50.0%
C 179
25.0%
D 179
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2864
80.0%
Latin 716
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1321
46.1%
1 501
 
17.5%
2 461
 
16.1%
7 208
 
7.3%
4 206
 
7.2%
3 41
 
1.4%
9 37
 
1.3%
6 32
 
1.1%
8 30
 
1.0%
5 27
 
0.9%
Latin
ValueCountFrequency (%)
F 358
50.0%
C 179
25.0%
D 179
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1321
36.9%
1 501
 
14.0%
2 461
 
12.9%
F 358
 
10.0%
7 208
 
5.8%
4 206
 
5.8%
C 179
 
5.0%
D 179
 
5.0%
3 41
 
1.1%
9 37
 
1.0%
Other values (3) 89
 
2.5%

인허가일자
Date

Distinct176
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1991-11-20 00:00:00
Maximum2024-03-14 00:00:00
2024-05-11T14:32:42.561184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:42.833596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
153 
3
16 
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 row1

Common Values

ValueCountFrequency (%)
1 153
85.5%
3 16
 
8.9%
5 10
 
5.6%

Length

2024-05-11T14:32:43.061887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:43.246354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 153
85.5%
3 16
 
8.9%
5 10
 
5.6%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업/정상
153 
폐업
16 
제외/삭제/전출
 
10

Length

Max length8
Median length5
Mean length4.8994413
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 153
85.5%
폐업 16
 
8.9%
제외/삭제/전출 10
 
5.6%

Length

2024-05-11T14:32:43.451491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:43.642750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 153
85.5%
폐업 16
 
8.9%
제외/삭제/전출 10
 
5.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
13
153 
3
16 
15
 
10

Length

Max length2
Median length2
Mean length1.9106145
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 153
85.5%
3 16
 
8.9%
15 10
 
5.6%

Length

2024-05-11T14:32:43.896843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:44.078722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 153
85.5%
3 16
 
8.9%
15 10
 
5.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업중
153 
폐업
16 
전출
 
10

Length

Max length3
Median length3
Mean length2.8547486
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 153
85.5%
폐업 16
 
8.9%
전출 10
 
5.6%

Length

2024-05-11T14:32:44.288081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:44.480414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 153
85.5%
폐업 16
 
8.9%
전출 10
 
5.6%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)96.2%
Missing153
Missing (%)85.5%
Memory size1.5 KiB
Minimum2007-11-16 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T14:32:44.948779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:45.194484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

전화번호
Text

MISSING 

Distinct87
Distinct (%)98.9%
Missing91
Missing (%)50.8%
Memory size1.5 KiB
2024-05-11T14:32:45.543293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.352273
Min length8

Characters and Unicode

Total characters999
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

Unique86 ?
Unique (%)97.7%

Sample

1st row02-2653-0061
2nd row02-2678-8858
3rd row02-2608-6301
4th row02-2602-3522
5th row02-3219-6460
ValueCountFrequency (%)
070-8064-0448 2
 
2.3%
2647-2707 1
 
1.1%
02-2653-0061 1
 
1.1%
02-2652-1001 1
 
1.1%
070-8630-3079 1
 
1.1%
2618-3453 1
 
1.1%
070-4009-6524 1
 
1.1%
2684-1483 1
 
1.1%
761-8111 1
 
1.1%
070-8201-6910 1
 
1.1%
Other values (77) 77
87.5%
2024-05-11T14:32:46.259514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 167
16.7%
2 163
16.3%
- 154
15.4%
6 114
11.4%
1 71
7.1%
8 61
 
6.1%
7 60
 
6.0%
3 60
 
6.0%
5 58
 
5.8%
4 53
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 845
84.6%
Dash Punctuation 154
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 167
19.8%
2 163
19.3%
6 114
13.5%
1 71
8.4%
8 61
 
7.2%
7 60
 
7.1%
3 60
 
7.1%
5 58
 
6.9%
4 53
 
6.3%
9 38
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 999
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 167
16.7%
2 163
16.3%
- 154
15.4%
6 114
11.4%
1 71
7.1%
8 61
 
6.1%
7 60
 
6.0%
3 60
 
6.0%
5 58
 
5.8%
4 53
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 167
16.7%
2 163
16.3%
- 154
15.4%
6 114
11.4%
1 71
7.1%
8 61
 
6.1%
7 60
 
6.0%
3 60
 
6.0%
5 58
 
5.8%
4 53
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)27.5%
Missing128
Missing (%)71.5%
Infinite0
Infinite (%)0.0%
Mean158459.18
Minimum158050
Maximum158860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T14:32:46.480870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158050
5-th percentile158050
Q1158050
median158715
Q3158830
95-th percentile158857
Maximum158860
Range810
Interquartile range (IQR)780

Descriptive statistics

Standard deviation375.26091
Coefficient of variation (CV)0.0023681867
Kurtosis-1.9920062
Mean158459.18
Median Absolute Deviation (MAD)142
Skewness-0.15396302
Sum8081418
Variance140820.75
MonotonicityNot monotonic
2024-05-11T14:32:46.693819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
158050 20
 
11.2%
158715 10
 
5.6%
158856 3
 
1.7%
158070 3
 
1.7%
158819 2
 
1.1%
158851 2
 
1.1%
158806 2
 
1.1%
158857 2
 
1.1%
158860 2
 
1.1%
158847 1
 
0.6%
Other values (4) 4
 
2.2%
(Missing) 128
71.5%
ValueCountFrequency (%)
158050 20
11.2%
158070 3
 
1.7%
158715 10
5.6%
158719 1
 
0.6%
158806 2
 
1.1%
158819 2
 
1.1%
158841 1
 
0.6%
158845 1
 
0.6%
158847 1
 
0.6%
158851 2
 
1.1%
ValueCountFrequency (%)
158860 2
1.1%
158857 2
1.1%
158856 3
1.7%
158852 1
 
0.6%
158851 2
1.1%
158847 1
 
0.6%
158845 1
 
0.6%
158841 1
 
0.6%
158819 2
1.1%
158806 2
1.1%

지번주소
Text

Distinct122
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T14:32:47.096563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length28.804469
Min length16

Characters and Unicode

Total characters5156
Distinct characters162
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

Unique93 ?
Unique (%)52.0%

Sample

1st row서울특별시 양천구 목동 ***-**번지
2nd row서울특별시 양천구 신정동 ***-*번지
3rd row서울특별시 양천구 신정동 ***-**번지
4th row서울특별시 양천구 신월동 ***-*번지
5th row서울특별시 양천구 목동 ***-*번지 한국방송회관 *층
ValueCountFrequency (%)
양천구 180
18.4%
서울특별시 179
18.3%
목동 119
12.1%
번지 116
11.8%
호 67
 
6.8%
62
 
6.3%
신정동 49
 
5.0%
층 35
 
3.6%
현대드림타워 17
 
1.7%
한국방송회관 16
 
1.6%
Other values (86) 140
14.3%
2024-05-11T14:32:47.854341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1116
21.6%
891
17.3%
동 208
 
4.0%
양 187
 
3.6%
천 187
 
3.6%
서 182
 
3.5%
울 181
 
3.5%
별 180
 
3.5%
시 180
 
3.5%
구 180
 
3.5%
Other values (152) 1664
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2943
57.1%
Other Punctuation 1119
 
21.7%
Space Separator 891
 
17.3%
Dash Punctuation 155
 
3.0%
Uppercase Letter 28
 
0.5%
Decimal Number 20
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 208
 
7.1%
양 187
 
6.4%
천 187
 
6.4%
서 182
 
6.2%
울 181
 
6.2%
별 180
 
6.1%
시 180
 
6.1%
구 180
 
6.1%
특 179
 
6.1%
목 136
 
4.6%
Other values (130) 1143
38.8%
Decimal Number
ValueCountFrequency (%)
1 5
25.0%
0 3
15.0%
9 3
15.0%
4 2
 
10.0%
7 2
 
10.0%
6 2
 
10.0%
2 1
 
5.0%
3 1
 
5.0%
8 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
K 5
17.9%
B 4
14.3%
T 4
14.3%
O 4
14.3%
M 4
14.3%
S 3
10.7%
A 2
 
7.1%
L 2
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 1116
99.7%
. 2
 
0.2%
, 1
 
0.1%
Space Separator
ValueCountFrequency (%)
891
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2943
57.1%
Common 2185
42.4%
Latin 28
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 208
 
7.1%
양 187
 
6.4%
천 187
 
6.4%
서 182
 
6.2%
울 181
 
6.2%
별 180
 
6.1%
시 180
 
6.1%
구 180
 
6.1%
특 179
 
6.1%
목 136
 
4.6%
Other values (130) 1143
38.8%
Common
ValueCountFrequency (%)
* 1116
51.1%
891
40.8%
- 155
 
7.1%
1 5
 
0.2%
0 3
 
0.1%
9 3
 
0.1%
. 2
 
0.1%
4 2
 
0.1%
7 2
 
0.1%
6 2
 
0.1%
Other values (4) 4
 
0.2%
Latin
ValueCountFrequency (%)
K 5
17.9%
B 4
14.3%
T 4
14.3%
O 4
14.3%
M 4
14.3%
S 3
10.7%
A 2
 
7.1%
L 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2943
57.1%
ASCII 2213
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1116
50.4%
891
40.3%
- 155
 
7.0%
1 5
 
0.2%
K 5
 
0.2%
B 4
 
0.2%
T 4
 
0.2%
O 4
 
0.2%
M 4
 
0.2%
0 3
 
0.1%
Other values (12) 22
 
1.0%
Hangul
ValueCountFrequency (%)
동 208
 
7.1%
양 187
 
6.4%
천 187
 
6.4%
서 182
 
6.2%
울 181
 
6.2%
별 180
 
6.1%
시 180
 
6.1%
구 180
 
6.1%
특 179
 
6.1%
목 136
 
4.6%
Other values (130) 1143
38.8%

도로명주소
Text

Distinct147
Distinct (%)82.6%
Missing1
Missing (%)0.6%
Memory size1.5 KiB
2024-05-11T14:32:48.373924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length44
Mean length35.179775
Min length22

Characters and Unicode

Total characters6262
Distinct characters173
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

Unique130 ?
Unique (%)73.0%

Sample

1st row서울특별시 양천구 국회대로 *** (목동)
2nd row서울특별시 양천구 국회대로 *** (신정동)
3rd row서울특별시 양천구 오목로 *** (신정동)
4th row서울특별시 양천구 남부순환로 *** (신월동)
5th row서울특별시 양천구 목동동로 *** (목동,한국방송회관 *층)
ValueCountFrequency (%)
서울특별시 178
15.4%
양천구 178
15.4%
175
15.2%
호 96
 
8.3%
목동 72
 
6.2%
목동동로 65
 
5.6%
층 58
 
5.0%
신정동 36
 
3.1%
목동서로 26
 
2.3%
목동,현대드림타워 13
 
1.1%
Other values (142) 256
22.2%
2024-05-11T14:32:49.333956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1058
16.9%
1042
16.6%
동 392
 
6.3%
목 267
 
4.3%
, 215
 
3.4%
서 209
 
3.3%
양 187
 
3.0%
천 186
 
3.0%
울 180
 
2.9%
시 179
 
2.9%
Other values (163) 2347
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3494
55.8%
Other Punctuation 1275
 
20.4%
Space Separator 1042
 
16.6%
Open Punctuation 178
 
2.8%
Close Punctuation 178
 
2.8%
Dash Punctuation 48
 
0.8%
Uppercase Letter 27
 
0.4%
Decimal Number 20
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 392
 
11.2%
목 267
 
7.6%
서 209
 
6.0%
양 187
 
5.4%
천 186
 
5.3%
울 180
 
5.2%
시 179
 
5.1%
특 178
 
5.1%
별 178
 
5.1%
구 178
 
5.1%
Other values (141) 1360
38.9%
Uppercase Letter
ValueCountFrequency (%)
K 4
14.8%
O 4
14.8%
M 4
14.8%
B 4
14.8%
S 3
11.1%
T 3
11.1%
A 3
11.1%
L 2
7.4%
Decimal Number
ValueCountFrequency (%)
9 6
30.0%
1 4
20.0%
2 3
15.0%
4 2
 
10.0%
3 2
 
10.0%
0 2
 
10.0%
6 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 1058
83.0%
, 215
 
16.9%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
1042
100.0%
Open Punctuation
ValueCountFrequency (%)
( 178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3494
55.8%
Common 2741
43.8%
Latin 27
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 392
 
11.2%
목 267
 
7.6%
서 209
 
6.0%
양 187
 
5.4%
천 186
 
5.3%
울 180
 
5.2%
시 179
 
5.1%
특 178
 
5.1%
별 178
 
5.1%
구 178
 
5.1%
Other values (141) 1360
38.9%
Common
ValueCountFrequency (%)
* 1058
38.6%
1042
38.0%
, 215
 
7.8%
( 178
 
6.5%
) 178
 
6.5%
- 48
 
1.8%
9 6
 
0.2%
1 4
 
0.1%
2 3
 
0.1%
. 2
 
0.1%
Other values (4) 7
 
0.3%
Latin
ValueCountFrequency (%)
K 4
14.8%
O 4
14.8%
M 4
14.8%
B 4
14.8%
S 3
11.1%
T 3
11.1%
A 3
11.1%
L 2
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3494
55.8%
ASCII 2768
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1058
38.2%
1042
37.6%
, 215
 
7.8%
( 178
 
6.4%
) 178
 
6.4%
- 48
 
1.7%
9 6
 
0.2%
1 4
 
0.1%
K 4
 
0.1%
O 4
 
0.1%
Other values (12) 31
 
1.1%
Hangul
ValueCountFrequency (%)
동 392
 
11.2%
목 267
 
7.6%
서 209
 
6.0%
양 187
 
5.4%
천 186
 
5.3%
울 180
 
5.2%
시 179
 
5.1%
특 178
 
5.1%
별 178
 
5.1%
구 178
 
5.1%
Other values (141) 1360
38.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)37.9%
Missing10
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean10672.905
Minimum7902
Maximum158761
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T14:32:49.634970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7902
5-th percentile7938
Q17983
median7995
Q38005
95-th percentile8093.6
Maximum158761
Range150859
Interquartile range (IQR)22

Descriptive statistics

Standard deviation19963.206
Coefficient of variation (CV)1.8704566
Kurtosis52.939603
Mean10672.905
Median Absolute Deviation (MAD)12
Skewness7.3697325
Sum1803721
Variance3.985296 × 108
MonotonicityNot monotonic
2024-05-11T14:32:49.903819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7995 46
25.7%
7997 20
 
11.2%
7992 5
 
2.8%
8049 5
 
2.8%
7983 4
 
2.2%
7938 4
 
2.2%
7969 4
 
2.2%
8023 3
 
1.7%
7978 3
 
1.7%
8021 3
 
1.7%
Other values (54) 72
40.2%
(Missing) 10
 
5.6%
ValueCountFrequency (%)
7902 1
 
0.6%
7907 1
 
0.6%
7910 1
 
0.6%
7911 1
 
0.6%
7926 1
 
0.6%
7937 2
1.1%
7938 4
2.2%
7942 2
1.1%
7943 1
 
0.6%
7944 3
1.7%
ValueCountFrequency (%)
158761 1
0.6%
158720 1
0.6%
158714 1
0.6%
8105 1
0.6%
8104 2
1.1%
8101 2
1.1%
8094 1
0.6%
8093 1
0.6%
8083 1
0.6%
8082 1
0.6%

사업장명
Text

Distinct178
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T14:32:50.432203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length8.5642458
Min length2

Characters and Unicode

Total characters1533
Distinct characters303
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)98.9%

Sample

1st row(주)신라음반
2nd row애드시네콤(주)
3rd row(주)에이드시스템
4th row한미전자
5th row(주)미디어새벽
ValueCountFrequency (%)
주식회사 33
 
14.2%
스튜디오 3
 
1.3%
미디어 3
 
1.3%
투엘미디어 2
 
0.9%
협동조합 2
 
0.9%
프로덕션 2
 
0.9%
주)아론티 2
 
0.9%
주)뷰구공일 1
 
0.4%
주)빅트리파트너스 1
 
0.4%
주)버킷아이엔씨 1
 
0.4%
Other values (183) 183
78.5%
2024-05-11T14:32:51.189073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 109
 
7.1%
) 84
 
5.5%
( 75
 
4.9%
디 56
 
3.7%
54
 
3.5%
이 54
 
3.5%
어 41
 
2.7%
미 41
 
2.7%
사 41
 
2.7%
스 38
 
2.5%
Other values (293) 940
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1220
79.6%
Close Punctuation 84
 
5.5%
Open Punctuation 75
 
4.9%
Space Separator 54
 
3.5%
Lowercase Letter 53
 
3.5%
Uppercase Letter 30
 
2.0%
Other Punctuation 9
 
0.6%
Decimal Number 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 109
 
8.9%
디 56
 
4.6%
이 54
 
4.4%
어 41
 
3.4%
미 41
 
3.4%
사 41
 
3.4%
스 38
 
3.1%
회 37
 
3.0%
식 34
 
2.8%
리 28
 
2.3%
Other values (248) 741
60.7%
Lowercase Letter
ValueCountFrequency (%)
o 9
17.0%
a 5
9.4%
r 5
9.4%
e 5
9.4%
t 4
 
7.5%
n 4
 
7.5%
m 3
 
5.7%
y 3
 
5.7%
p 2
 
3.8%
f 2
 
3.8%
Other values (8) 11
20.8%
Uppercase Letter
ValueCountFrequency (%)
E 4
13.3%
J 3
10.0%
T 3
10.0%
V 2
 
6.7%
I 2
 
6.7%
C 2
 
6.7%
R 2
 
6.7%
D 2
 
6.7%
N 2
 
6.7%
M 2
 
6.7%
Other values (6) 6
20.0%
Decimal Number
ValueCountFrequency (%)
3 3
37.5%
1 2
25.0%
9 1
 
12.5%
4 1
 
12.5%
5 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
& 1
 
11.1%
/ 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1219
79.5%
Common 230
 
15.0%
Latin 83
 
5.4%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 109
 
8.9%
디 56
 
4.6%
이 54
 
4.4%
어 41
 
3.4%
미 41
 
3.4%
사 41
 
3.4%
스 38
 
3.1%
회 37
 
3.0%
식 34
 
2.8%
리 28
 
2.3%
Other values (247) 740
60.7%
Latin
ValueCountFrequency (%)
o 9
 
10.8%
a 5
 
6.0%
r 5
 
6.0%
e 5
 
6.0%
t 4
 
4.8%
n 4
 
4.8%
E 4
 
4.8%
J 3
 
3.6%
m 3
 
3.6%
y 3
 
3.6%
Other values (24) 38
45.8%
Common
ValueCountFrequency (%)
) 84
36.5%
( 75
32.6%
54
23.5%
. 7
 
3.0%
3 3
 
1.3%
1 2
 
0.9%
& 1
 
0.4%
9 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
Han
ValueCountFrequency (%)
感 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1219
79.5%
ASCII 313
 
20.4%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 109
 
8.9%
디 56
 
4.6%
이 54
 
4.4%
어 41
 
3.4%
미 41
 
3.4%
사 41
 
3.4%
스 38
 
3.1%
회 37
 
3.0%
식 34
 
2.8%
리 28
 
2.3%
Other values (247) 740
60.7%
ASCII
ValueCountFrequency (%)
) 84
26.8%
( 75
24.0%
54
17.3%
o 9
 
2.9%
. 7
 
2.2%
a 5
 
1.6%
r 5
 
1.6%
e 5
 
1.6%
t 4
 
1.3%
n 4
 
1.3%
Other values (35) 61
19.5%
CJK
ValueCountFrequency (%)
感 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2006-05-10 10:25:55
Maximum2024-05-08 11:00:20
2024-05-11T14:32:51.423724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:51.657640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
I
148 
U
31 

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 148
82.7%
U 31
 
17.3%

Length

2024-05-11T14:32:51.922551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:52.130633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 148
82.7%
u 31
 
17.3%

데이터갱신일자
Date

Distinct76
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:00:00
2024-05-11T14:32:52.318534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:52.552858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct100
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188101.14
Minimum184528.8
Maximum189645.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T14:32:52.786679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184528.8
5-th percentile185263.79
Q1187734.18
median188572.11
Q3188738.99
95-th percentile189358.08
Maximum189645.58
Range5116.7739
Interquartile range (IQR)1004.8112

Descriptive statistics

Standard deviation1134.46
Coefficient of variation (CV)0.0060311172
Kurtosis1.8902756
Mean188101.14
Median Absolute Deviation (MAD)380.95817
Skewness-1.5549341
Sum33670104
Variance1286999.5
MonotonicityNot monotonic
2024-05-11T14:32:53.108900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188584.345447275 25
 
14.0%
188572.108662809 19
 
10.6%
188953.066831076 16
 
8.9%
188585.854107151 5
 
2.8%
185263.787219042 4
 
2.2%
188493.762740612 4
 
2.2%
188871.512837973 4
 
2.2%
189645.577035228 3
 
1.7%
187677.405864103 2
 
1.1%
187557.747799461 2
 
1.1%
Other values (90) 95
53.1%
ValueCountFrequency (%)
184528.803113384 1
 
0.6%
184559.066003671 1
 
0.6%
184651.515751007 1
 
0.6%
184848.217797927 1
 
0.6%
184884.527471191 1
 
0.6%
185127.929492629 1
 
0.6%
185143.375565775 1
 
0.6%
185263.02975411 1
 
0.6%
185263.787219042 4
2.2%
185622.959801967 1
 
0.6%
ValueCountFrequency (%)
189645.577035228 3
1.7%
189519.862506193 1
 
0.6%
189469.901305589 1
 
0.6%
189413.319955657 1
 
0.6%
189394.123194989 1
 
0.6%
189371.998478153 1
 
0.6%
189366.177705871 1
 
0.6%
189357.183570951 1
 
0.6%
189348.372526225 1
 
0.6%
189311.02246611 2
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct100
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447286.8
Minimum444831.85
Maximum449683.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T14:32:53.337738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444831.85
5-th percentile445606.21
Q1447014.99
median447255.07
Q3447476.28
95-th percentile449285.54
Maximum449683.22
Range4851.3714
Interquartile range (IQR)461.28984

Descriptive statistics

Standard deviation939.21245
Coefficient of variation (CV)0.0020997992
Kurtosis0.95493152
Mean447286.8
Median Absolute Deviation (MAD)225.90915
Skewness0.18848518
Sum80064337
Variance882120.02
MonotonicityNot monotonic
2024-05-11T14:32:53.555590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447255.070457495 25
 
14.0%
447198.912625565 19
 
10.6%
447333.569187997 16
 
8.9%
447573.303575146 5
 
2.8%
445642.376123947 4
 
2.2%
447213.539278579 4
 
2.2%
447348.13213342 4
 
2.2%
448883.249477683 3
 
1.7%
447436.286348905 2
 
1.1%
446789.455292404 2
 
1.1%
Other values (90) 95
53.1%
ValueCountFrequency (%)
444831.84775875 1
 
0.6%
444911.609710795 1
 
0.6%
445039.928375227 1
 
0.6%
445245.155711509 1
 
0.6%
445272.216473387 1
 
0.6%
445297.986765501 1
 
0.6%
445406.287787792 1
 
0.6%
445569.639465968 2
1.1%
445610.277402204 1
 
0.6%
445642.376123947 4
2.2%
ValueCountFrequency (%)
449683.219205227 1
0.6%
449653.562160651 1
0.6%
449560.639015671 1
0.6%
449380.074012936 1
0.6%
449364.88554612 1
0.6%
449335.572121211 1
0.6%
449325.065980895 1
0.6%
449297.836987011 1
0.6%
449289.088613165 1
0.6%
449285.141387356 1
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
비디오물제작업
135 
<NA>
44 

Length

Max length7
Median length7
Mean length6.2625698
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 135
75.4%
<NA> 44
 
24.6%

Length

2024-05-11T14:32:53.773447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:53.964317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 135
75.4%
na 44
 
24.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
124 
유통관련업
55 

Length

Max length5
Median length4
Mean length4.3072626
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 124
69.3%
유통관련업 55
30.7%

Length

2024-05-11T14:32:54.169915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:54.402236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
69.3%
유통관련업 55
30.7%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
173 
0
 
4
18
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.9050279
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 173
96.6%
0 4
 
2.2%
18 1
 
0.6%
2 1
 
0.6%

Length

2024-05-11T14:32:54.571715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:54.765986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
96.6%
0 4
 
2.2%
18 1
 
0.6%
2 1
 
0.6%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing178
Missing (%)99.4%
Memory size1.5 KiB
2024-05-11T14:32:54.883980image/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%
2024-05-11T14:32:55.161860image/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 

Distinct76
Distinct (%)75.2%
Missing78
Missing (%)43.6%
Memory size1.5 KiB
2024-05-11T14:32:55.524544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length35
Mean length11.841584
Min length3

Characters and Unicode

Total characters1196
Distinct characters115
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)71.3%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 32
 
13.2%
제작 17
 
7.0%
및 13
 
5.4%
방송프로그램 12
 
5.0%
광고 10
 
4.1%
등 9
 
3.7%
홍보 7
 
2.9%
홍보영상 7
 
2.9%
영상 6
 
2.5%
영화 5
 
2.1%
Other values (103) 124
51.2%
2024-05-11T14:32:56.172679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
11.9%
, 71
 
5.9%
영 70
 
5.9%
물 63
 
5.3%
상 55
 
4.6%
디 50
 
4.2%
비 49
 
4.1%
오 48
 
4.0%
제 39
 
3.3%
작 38
 
3.2%
Other values (105) 571
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
77.3%
Space Separator 142
 
11.9%
Other Punctuation 74
 
6.2%
Uppercase Letter 38
 
3.2%
Close Punctuation 7
 
0.6%
Open Punctuation 7
 
0.6%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 70
 
7.6%
물 63
 
6.8%
상 55
 
5.9%
디 50
 
5.4%
비 49
 
5.3%
오 48
 
5.2%
제 39
 
4.2%
작 38
 
4.1%
홍 34
 
3.7%
보 34
 
3.7%
Other values (90) 445
48.1%
Uppercase Letter
ValueCountFrequency (%)
D 13
34.2%
V 10
26.3%
T 5
 
13.2%
S 3
 
7.9%
C 2
 
5.3%
F 2
 
5.3%
B 2
 
5.3%
E 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 71
95.9%
. 2
 
2.7%
? 1
 
1.4%
Space Separator
ValueCountFrequency (%)
142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Decimal Number
ValueCountFrequency (%)
3 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
77.3%
Common 233
 
19.5%
Latin 38
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 70
 
7.6%
물 63
 
6.8%
상 55
 
5.9%
디 50
 
5.4%
비 49
 
5.3%
오 48
 
5.2%
제 39
 
4.2%
작 38
 
4.1%
홍 34
 
3.7%
보 34
 
3.7%
Other values (90) 445
48.1%
Latin
ValueCountFrequency (%)
D 13
34.2%
V 10
26.3%
T 5
 
13.2%
S 3
 
7.9%
C 2
 
5.3%
F 2
 
5.3%
B 2
 
5.3%
E 1
 
2.6%
Common
ValueCountFrequency (%)
142
60.9%
, 71
30.5%
) 7
 
3.0%
( 7
 
3.0%
3 3
 
1.3%
. 2
 
0.9%
? 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
77.3%
ASCII 271
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
52.4%
, 71
26.2%
D 13
 
4.8%
V 10
 
3.7%
) 7
 
2.6%
( 7
 
2.6%
T 5
 
1.8%
S 3
 
1.1%
3 3
 
1.1%
. 2
 
0.7%
Other values (5) 8
 
3.0%
Hangul
ValueCountFrequency (%)
영 70
 
7.6%
물 63
 
6.8%
상 55
 
5.9%
디 50
 
5.4%
비 49
 
5.3%
오 48
 
5.2%
제 39
 
4.2%
작 38
 
4.1%
홍 34
 
3.7%
보 34
 
3.7%
Other values (90) 445
48.1%

시설면적
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)91.3%
Missing110
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean77.411594
Minimum0
Maximum324.75
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T14:32:56.414734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q140.87
median58.51
Q399.84
95-th percentile196.714
Maximum324.75
Range324.75
Interquartile range (IQR)58.97

Descriptive statistics

Standard deviation60.213363
Coefficient of variation (CV)0.77783391
Kurtosis4.807819
Mean77.411594
Median Absolute Deviation (MAD)24.91
Skewness2.0014576
Sum5341.4
Variance3625.6491
MonotonicityNot monotonic
2024-05-11T14:32:56.693738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.06 3
 
1.7%
33.0 2
 
1.1%
40.0 2
 
1.1%
92.4 2
 
1.1%
59.0 2
 
1.1%
29.14 1
 
0.6%
78.7 1
 
0.6%
115.0 1
 
0.6%
116.37 1
 
0.6%
49.59 1
 
0.6%
Other values (53) 53
29.6%
(Missing) 110
61.5%
ValueCountFrequency (%)
0.0 1
0.6%
10.0 1
0.6%
10.53 1
0.6%
20.0 1
0.6%
25.0 1
0.6%
27.55 1
0.6%
28.55 1
0.6%
29.14 1
0.6%
32.76 1
0.6%
33.0 2
1.1%
ValueCountFrequency (%)
324.75 1
0.6%
273.19 1
0.6%
233.25 1
0.6%
207.93 1
0.6%
179.89 1
0.6%
162.63 1
0.6%
158.0 1
0.6%
148.35 1
0.6%
132.3 1
0.6%
122.0 1
0.6%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
172 
0
 
4
14
 
1
16
 
1
11
 
1

Length

Max length4
Median length4
Mean length3.8994413
Min length1

Unique

Unique3 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
96.1%
0 4
 
2.2%
14 1
 
0.6%
16 1
 
0.6%
11 1
 
0.6%

Length

2024-05-11T14:32:56.923681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:57.467283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
96.1%
0 4
 
2.2%
14 1
 
0.6%
16 1
 
0.6%
11 1
 
0.6%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
174 
0
 
4
4
 
1

Length

Max length4
Median length4
Mean length3.9162011
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 174
97.2%
0 4
 
2.2%
4 1
 
0.6%

Length

2024-05-11T14:32:57.683001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:57.912656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
97.2%
0 4
 
2.2%
4 1
 
0.6%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing178
Missing (%)99.4%
Memory size1.5 KiB
2024-05-11T14:32:58.094592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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 row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T14:32:58.519187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
175 
0
 
4

Length

Max length4
Median length4
Mean length3.9329609
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> 175
97.8%
0 4
 
2.2%

Length

2024-05-11T14:32:58.779120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:59.020662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
97.8%
0 4
 
2.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
175 
0
 
4

Length

Max length4
Median length4
Mean length3.9329609
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> 175
97.8%
0 4
 
2.2%

Length

2024-05-11T14:32:59.216103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:59.390854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
97.8%
0 4
 
2.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
175 
0
 
4

Length

Max length4
Median length4
Mean length3.9329609
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> 175
97.8%
0 4
 
2.2%

Length

2024-05-11T14:32:59.559283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:59.737737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
97.8%
0 4
 
2.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
175 
0
 
4

Length

Max length4
Median length4
Mean length3.9329609
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> 175
97.8%
0 4
 
2.2%

Length

2024-05-11T14:32:59.914994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:00.137473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
97.8%
0 4
 
2.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
175 
0
 
4

Length

Max length4
Median length4
Mean length3.9329609
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> 175
97.8%
0 4
 
2.2%

Length

2024-05-11T14:33:00.340579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:00.526739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
97.8%
0 4
 
2.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing178
Missing (%)99.4%
Memory size1.5 KiB
2024-05-11T14:33:00.698523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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 row일반상업지역
ValueCountFrequency (%)
일반상업지역 1
100.0%
2024-05-11T14:33:01.162648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03140000CDFF124107199100000119911120<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2653-0061<NA>158819서울특별시 양천구 목동 ***-**번지서울특별시 양천구 국회대로 *** (목동)7967(주)신라음반2007-03-26 15:47:43I2018-08-31 23:59:59.0<NA>188119.894313447587.826277비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13140000CDFF124107199400000119940705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2678-8858<NA>158856서울특별시 양천구 신정동 ***-*번지서울특별시 양천구 국회대로 *** (신정동)7937애드시네콤(주)2007-03-26 15:49:51I2018-08-31 23:59:59.0<NA>187677.405864447436.286349비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23140000CDFF124107199500000119950426<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2608-6301<NA>158070서울특별시 양천구 신정동 ***-**번지서울특별시 양천구 오목로 *** (신정동)7942(주)에이드시스템2007-03-26 15:53:53I2018-08-31 23:59:59.0<NA>186858.74017446931.695455비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33140000CDFF124107199800000119980218<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2602-3522<NA>158847서울특별시 양천구 신월동 ***-*번지서울특별시 양천구 남부순환로 *** (신월동)8041한미전자2007-03-26 15:56:57I2018-08-31 23:59:59.0<NA>185622.959802446328.769922비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43140000CDFF124107199900000219991228<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3219-6460<NA>158715서울특별시 양천구 목동 ***-*번지 한국방송회관 *층서울특별시 양천구 목동동로 *** (목동,한국방송회관 *층)7995(주)미디어새벽2007-03-26 16:16:13I2018-08-31 23:59:59.0<NA>188572.108663447198.912626비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53140000CDFF124107200000000120000309<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3219-6000<NA>158715서울특별시 양천구 목동 ***-*번지 한국방송회관 **층서울특별시 양천구 목동동로 *** (목동,한국방송회관 **층)7995(주)씨에이에이2007-03-26 16:19:06I2018-08-31 23:59:59.0<NA>188572.108663447198.912626비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63140000CDFF124107200000000220000315<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3219-5730<NA>158715서울특별시 양천구 목동 ***-*번지 한국방송회관 **층서울특별시 양천구 목동동로 *** (목동,한국방송회관 **층)7995(주)에펙스디지탈2007-03-26 16:21:42I2018-08-31 23:59:59.0<NA>188572.108663447198.912626비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73140000CDFF124107200000000420000421<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2602-6538<NA>158841서울특별시 양천구 신월동 ***-*번지 *층서울특별시 양천구 신남길 ** (신월동,*층)8068케이비미디어코리아2007-03-26 16:26:33I2018-08-31 23:59:59.0<NA>185935.304377445963.474381비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83140000CDFF124107200000000520000603<NA>3폐업3폐업20080204<NA><NA><NA>02-2643-3933<NA>158852서울특별시 양천구 신정동 ***-**번지 동진빌딩 ***호서울특별시 양천구 신목로*길 *, ***호 (신정동,동진빌딩)<NA>우리말영어332008-02-04 19:14:29I2018-08-31 23:59:59.0<NA>188560.809957446382.826748비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93140000CDFF124107200000000620000807<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158715서울특별시 양천구 목동 ***-*번지 한국방송회관서울특별시 양천구 목동동로 *** (목동,한국방송회관)7995(주)제이알엔2007-03-26 16:30:45I2018-08-31 23:59:59.0<NA>188572.108663447198.912626비디오물제작업유통관련업<NA><NA><NA><NA><NA><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
1693140000CDFF12410720230000082023-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 ***-**서울특별시 양천구 남부순환로**길 **-*, ***호 (신월동)7911투비디오스튜디오2023-08-04 15:58:42I2022-12-08 00:06:00.0<NA>184559.066004447881.946148<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1703140000CDFF12410720230000092023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-* 한국방송회관서울특별시 양천구 목동동로 ***, 한국방송회관 *층 (목동)7995에이앤제이미디어2023-08-10 13:20:59I2022-12-07 23:02:00.0<NA>188572.108663447198.912626<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1713140000CDFF12410720230000102006-04-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*서울특별시 양천구 안양천로 ****, **층 ****호 (목동)7978(주)뷰구공일2023-08-17 09:02:13I2022-12-07 23:09:00.0<NA>189645.577035448883.249478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1723140000CDFF12410720230000112023-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-** 드림타워서울특별시 양천구 목동동로 ***-*, 드림타워 **층 ****호 (목동)7995주식회사 코인 프로덕션2023-10-27 14:13:58I2022-10-30 22:09:00.0<NA>188584.345447447255.070457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1733140000CDFF12410720230000122023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**서울특별시 양천구 목동중앙본로 **, *층 ***호 (목동)7973이룸Company2023-12-20 15:25:02I2022-11-01 22:03:00.0<NA>188515.062537449126.242342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1743140000CDFF12410720230000132023-12-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**서울특별시 양천구 목동중앙북로 ***, *층 ***호 (목동)7968주식회사 메인팩토리2023-12-26 13:56:35I2022-11-01 22:08:00.0<NA>189040.442771449364.885546<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1753140000CDFF12410720240000012024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-* 신목동역 LT SAMBO 지식산업센터 M.OK서울특별시 양천구 안양천로 ****, 신목동역 LT SAMBO 지식산업센터 M.OK **층 ****호 (목동)7978무비팩토리2024-01-11 12:49:46I2023-11-30 23:03:00.0<NA>189645.577035448883.249478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1763140000CDFF12410720240000022024-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ****-** 유그네스빌딩서울특별시 양천구 은행정로*길 **, 유그네스빌딩 *층 (신정동)8082앤트프로덕션2024-02-20 09:15:04I2023-12-01 22:02:00.0<NA>187306.00634446557.030455<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1773140000CDFF12410720240000032024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-* 신목동역 LT SAMBO 지식산업센터 M.OK서울특별시 양천구 안양천로 ****, 신목동역 LT SAMBO 지식산업센터 M.OK *층 ***호 (목동)7978그릿(GRIT)2024-03-06 14:33:27I2023-12-03 00:09:00.0<NA>189645.577035448883.249478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1783140000CDFF12410720240000042024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 **-** 마루하우스서울특별시 양천구 월정로**길 *-*, *층 ***호 (신월동, 마루하우스)7907아크스튜디오2024-03-20 15:30:29U2023-12-02 22:02:00.0<NA>185263.029754448471.884058<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>