Overview

Dataset statistics

Number of variables56
Number of observations43
Missing cells1154
Missing cells (%)47.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.5 KiB
Average record size in memory489.1 B

Variable types

Categorical18
Text8
DateTime3
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-16680/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (55.4%)Imbalance
데이터갱신일자 is highly imbalanced (63.4%)Imbalance
문화체육업종명 is highly imbalanced (63.5%)Imbalance
문화사업자구분명 is highly imbalanced (63.5%)Imbalance
총층수 is highly imbalanced (70.7%)Imbalance
지상층수 is highly imbalanced (68.0%)Imbalance
지하층수 is highly imbalanced (62.0%)Imbalance
건물용도명 is highly imbalanced (63.5%)Imbalance
통로너비 is highly imbalanced (84.1%)Imbalance
조명시설조도 is highly imbalanced (84.1%)Imbalance
노래방실수 is highly imbalanced (84.1%)Imbalance
청소년실수 is highly imbalanced (84.1%)Imbalance
총게임기수 is highly imbalanced (84.1%)Imbalance
인허가취소일자 has 43 (100.0%) missing valuesMissing
폐업일자 has 32 (74.4%) missing valuesMissing
휴업시작일자 has 43 (100.0%) missing valuesMissing
휴업종료일자 has 43 (100.0%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
전화번호 has 25 (58.1%) missing valuesMissing
소재지면적 has 43 (100.0%) missing valuesMissing
소재지우편번호 has 24 (55.8%) missing valuesMissing
도로명우편번호 has 6 (14.0%) missing valuesMissing
업태구분명 has 43 (100.0%) missing valuesMissing
주변환경명 has 40 (93.0%) missing valuesMissing
제작취급품목내용 has 18 (41.9%) missing valuesMissing
시설면적 has 22 (51.2%) missing valuesMissing
비상계단여부 has 43 (100.0%) missing valuesMissing
비상구여부 has 43 (100.0%) missing valuesMissing
자동환기여부 has 43 (100.0%) missing valuesMissing
청소년실여부 has 43 (100.0%) missing valuesMissing
특수조명여부 has 43 (100.0%) missing valuesMissing
방음시설여부 has 43 (100.0%) missing valuesMissing
비디오재생기명 has 43 (100.0%) missing valuesMissing
조명시설유무 has 43 (100.0%) missing valuesMissing
음향시설여부 has 43 (100.0%) missing valuesMissing
편의시설여부 has 43 (100.0%) missing valuesMissing
소방시설여부 has 43 (100.0%) missing valuesMissing
기존게임업외업종명 has 43 (100.0%) missing valuesMissing
제공게임물명 has 43 (100.0%) missing valuesMissing
공연장형태구분명 has 43 (100.0%) missing valuesMissing
품목명 has 43 (100.0%) missing valuesMissing
최초등록시점 has 43 (100.0%) missing valuesMissing
지역구분명 has 41 (95.3%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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 started2024-04-06 12:41:21.177615
Analysis finished2024-04-06 12:41:22.180557
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
3140000
43 

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 43
100.0%

Length

2024-04-06T21:41:22.659987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:22.830774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 43
100.0%

관리번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-06T21:41:23.138081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters860
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

Unique43 ?
Unique (%)100.0%

Sample

1st rowCDFF2241121999000001
2nd rowCDFF2241121999000003
3rd rowCDFF2241122000000001
4th rowCDFF2241122000000002
5th rowCDFF2241122001000001
ValueCountFrequency (%)
cdff2241121999000001 1
 
2.3%
cdff2241122010000001 1
 
2.3%
cdff2241122010000003 1
 
2.3%
cdff2241122010000004 1
 
2.3%
cdff2241122012000001 1
 
2.3%
cdff2241122012000002 1
 
2.3%
cdff2241122012000003 1
 
2.3%
cdff2241122012000004 1
 
2.3%
cdff2241122012000005 1
 
2.3%
cdff2241122012000006 1
 
2.3%
Other values (33) 33
76.7%
2024-04-06T21:41:23.739466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 284
33.0%
2 198
23.0%
1 127
14.8%
F 86
 
10.0%
4 48
 
5.6%
C 43
 
5.0%
D 43
 
5.0%
9 9
 
1.0%
3 9
 
1.0%
6 5
 
0.6%
Other values (3) 8
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
80.0%
Uppercase Letter 172
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 284
41.3%
2 198
28.8%
1 127
18.5%
4 48
 
7.0%
9 9
 
1.3%
3 9
 
1.3%
6 5
 
0.7%
5 3
 
0.4%
7 3
 
0.4%
8 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 86
50.0%
C 43
25.0%
D 43
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 688
80.0%
Latin 172
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 284
41.3%
2 198
28.8%
1 127
18.5%
4 48
 
7.0%
9 9
 
1.3%
3 9
 
1.3%
6 5
 
0.7%
5 3
 
0.4%
7 3
 
0.4%
8 2
 
0.3%
Latin
ValueCountFrequency (%)
F 86
50.0%
C 43
25.0%
D 43
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 284
33.0%
2 198
23.0%
1 127
14.8%
F 86
 
10.0%
4 48
 
5.6%
C 43
 
5.0%
D 43
 
5.0%
9 9
 
1.0%
3 9
 
1.0%
6 5
 
0.6%
Other values (3) 8
 
0.9%

인허가일자
Date

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum1999-06-24 00:00:00
Maximum2024-03-22 00:00:00
2024-04-06T21:41:24.031816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:41:24.370337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
32 
3
11 

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 32
74.4%
3 11
 
25.6%

Length

2024-04-06T21:41:24.627166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:24.817647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
74.4%
3 11
 
25.6%

영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
영업/정상
32 
폐업
11 

Length

Max length5
Median length5
Mean length4.2325581
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 32
74.4%
폐업 11
 
25.6%

Length

2024-04-06T21:41:25.057578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:25.313989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 32
74.4%
폐업 11
 
25.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
13
32 
3
11 

Length

Max length2
Median length2
Mean length1.744186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 32
74.4%
3 11
 
25.6%

Length

2024-04-06T21:41:25.628994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:25.832707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 32
74.4%
3 11
 
25.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
영업중
32 
폐업
11 

Length

Max length3
Median length3
Mean length2.744186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 32
74.4%
폐업 11
 
25.6%

Length

2024-04-06T21:41:26.068827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:26.294996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 32
74.4%
폐업 11
 
25.6%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing32
Missing (%)74.4%
Memory size476.0 B
Minimum2006-07-04 00:00:00
Maximum2023-12-06 00:00:00
2024-04-06T21:41:26.474631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:41:26.654524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

전화번호
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing25
Missing (%)58.1%
Memory size476.0 B
2024-04-06T21:41:26.959753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.333333
Min length9

Characters and Unicode

Total characters204
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

Unique16 ?
Unique (%)88.9%

Sample

1st row02-2654-8088
2nd row02-2608-8911
3rd row02-6678-0991
4th row02-2166-2477
5th row02-6678-8200
ValueCountFrequency (%)
02-6678-8200 2
 
11.1%
2062-9702 1
 
5.6%
02-2654-8088 1
 
5.6%
02-2694-3450 1
 
5.6%
2062-8776 1
 
5.6%
2648-0919 1
 
5.6%
070-7639-0283 1
 
5.6%
070-7678-7380 1
 
5.6%
6082-0144 1
 
5.6%
02-6678-0991 1
 
5.6%
Other values (7) 7
38.9%
2024-04-06T21:41:27.651015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35
17.2%
2 34
16.7%
- 32
15.7%
6 25
12.3%
8 19
9.3%
7 16
7.8%
9 12
 
5.9%
4 9
 
4.4%
1 8
 
3.9%
3 8
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 172
84.3%
Dash Punctuation 32
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
20.3%
2 34
19.8%
6 25
14.5%
8 19
11.0%
7 16
9.3%
9 12
 
7.0%
4 9
 
5.2%
1 8
 
4.7%
3 8
 
4.7%
5 6
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35
17.2%
2 34
16.7%
- 32
15.7%
6 25
12.3%
8 19
9.3%
7 16
7.8%
9 12
 
5.9%
4 9
 
4.4%
1 8
 
3.9%
3 8
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35
17.2%
2 34
16.7%
- 32
15.7%
6 25
12.3%
8 19
9.3%
7 16
7.8%
9 12
 
5.9%
4 9
 
4.4%
1 8
 
3.9%
3 8
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)47.4%
Missing24
Missing (%)55.8%
Infinite0
Infinite (%)0.0%
Mean158376.42
Minimum158050
Maximum158860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-06T21:41:27.885449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158050
5-th percentile158050
Q1158050
median158070
Q3158811
95-th percentile158856.4
Maximum158860
Range810
Interquartile range (IQR)761

Descriptive statistics

Standard deviation387.77862
Coefficient of variation (CV)0.0024484618
Kurtosis-2.0751839
Mean158376.42
Median Absolute Deviation (MAD)20
Skewness0.36369471
Sum3009152
Variance150372.26
MonotonicityNot monotonic
2024-04-06T21:41:28.131600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
158050 8
 
18.6%
158070 3
 
7.0%
158795 2
 
4.7%
158827 1
 
2.3%
158848 1
 
2.3%
158860 1
 
2.3%
158837 1
 
2.3%
158724 1
 
2.3%
158856 1
 
2.3%
(Missing) 24
55.8%
ValueCountFrequency (%)
158050 8
18.6%
158070 3
 
7.0%
158724 1
 
2.3%
158795 2
 
4.7%
158827 1
 
2.3%
158837 1
 
2.3%
158848 1
 
2.3%
158856 1
 
2.3%
158860 1
 
2.3%
ValueCountFrequency (%)
158860 1
 
2.3%
158856 1
 
2.3%
158848 1
 
2.3%
158837 1
 
2.3%
158827 1
 
2.3%
158795 2
 
4.7%
158724 1
 
2.3%
158070 3
 
7.0%
158050 8
18.6%

지번주소
Text

Distinct37
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-06T21:41:28.474467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length28.581395
Min length16

Characters and Unicode

Total characters1229
Distinct characters63
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)74.4%

Sample

1st row서울특별시 양천구 목동 ***-**번지
2nd row서울특별시 양천구 신정동 ***-*번지
3rd row서울특별시 양천구 목동 ***번지 현대월드타워 ****호
4th row서울특별시 양천구 목동 ***-**번지 현대드림타워 *층
5th row서울특별시 양천구 목동 ***-*번지 기독교방송 **층
ValueCountFrequency (%)
서울특별시 43
18.8%
양천구 43
18.8%
번지 37
16.2%
호 22
9.6%
신정동 21
9.2%
목동 14
 
6.1%
신월동 8
 
3.5%
7
 
3.1%
층 7
 
3.1%
동 5
 
2.2%
Other values (17) 22
9.6%
2024-04-06T21:41:29.184429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 298
24.2%
208
16.9%
동 50
 
4.1%
천 44
 
3.6%
양 44
 
3.6%
울 43
 
3.5%
구 43
 
3.5%
서 43
 
3.5%
시 43
 
3.5%
별 43
 
3.5%
Other values (53) 370
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 685
55.7%
Other Punctuation 298
24.2%
Space Separator 208
 
16.9%
Dash Punctuation 38
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
 
7.3%
천 44
 
6.4%
양 44
 
6.4%
울 43
 
6.3%
구 43
 
6.3%
서 43
 
6.3%
시 43
 
6.3%
별 43
 
6.3%
특 43
 
6.3%
번 37
 
5.4%
Other values (50) 252
36.8%
Other Punctuation
ValueCountFrequency (%)
* 298
100.0%
Space Separator
ValueCountFrequency (%)
208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 685
55.7%
Common 544
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
 
7.3%
천 44
 
6.4%
양 44
 
6.4%
울 43
 
6.3%
구 43
 
6.3%
서 43
 
6.3%
시 43
 
6.3%
별 43
 
6.3%
특 43
 
6.3%
번 37
 
5.4%
Other values (50) 252
36.8%
Common
ValueCountFrequency (%)
* 298
54.8%
208
38.2%
- 38
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 685
55.7%
ASCII 544
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 298
54.8%
208
38.2%
- 38
 
7.0%
Hangul
ValueCountFrequency (%)
동 50
 
7.3%
천 44
 
6.4%
양 44
 
6.4%
울 43
 
6.3%
구 43
 
6.3%
서 43
 
6.3%
시 43
 
6.3%
별 43
 
6.3%
특 43
 
6.3%
번 37
 
5.4%
Other values (50) 252
36.8%

도로명주소
Text

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-06T21:41:29.617905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length32.744186
Min length23

Characters and Unicode

Total characters1408
Distinct characters82
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)81.4%

Sample

1st row서울특별시 양천구 목동동로 *** (목동)
2nd row서울특별시 양천구 중앙로 *** (신정동)
3rd row서울특별시 양천구 목동서로 **, ****호 (목동,현대월드타워)
4th row서울특별시 양천구 목동동로 ***-* (목동,현대드림타워 *층)
5th row서울특별시 양천구 목동서로 ***-* (목동,기독교방송 **층)
ValueCountFrequency (%)
44
17.4%
서울특별시 43
17.0%
양천구 43
17.0%
호 19
 
7.5%
신정동 13
 
5.1%
목동동로 9
 
3.6%
층 8
 
3.2%
신월동 7
 
2.8%
신월로 6
 
2.4%
목동 6
 
2.4%
Other values (37) 55
21.7%
2024-04-06T21:41:30.297848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 253
18.0%
231
16.4%
동 80
 
5.7%
서 47
 
3.3%
로 44
 
3.1%
, 44
 
3.1%
시 43
 
3.1%
울 43
 
3.1%
) 43
 
3.1%
( 43
 
3.1%
Other values (72) 537
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 782
55.5%
Other Punctuation 297
 
21.1%
Space Separator 231
 
16.4%
Close Punctuation 43
 
3.1%
Open Punctuation 43
 
3.1%
Dash Punctuation 12
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 80
 
10.2%
서 47
 
6.0%
로 44
 
5.6%
시 43
 
5.5%
울 43
 
5.5%
별 43
 
5.5%
특 43
 
5.5%
구 43
 
5.5%
천 43
 
5.5%
양 43
 
5.5%
Other values (66) 310
39.6%
Other Punctuation
ValueCountFrequency (%)
* 253
85.2%
, 44
 
14.8%
Space Separator
ValueCountFrequency (%)
231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 782
55.5%
Common 626
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 80
 
10.2%
서 47
 
6.0%
로 44
 
5.6%
시 43
 
5.5%
울 43
 
5.5%
별 43
 
5.5%
특 43
 
5.5%
구 43
 
5.5%
천 43
 
5.5%
양 43
 
5.5%
Other values (66) 310
39.6%
Common
ValueCountFrequency (%)
* 253
40.4%
231
36.9%
, 44
 
7.0%
) 43
 
6.9%
( 43
 
6.9%
- 12
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 782
55.5%
ASCII 626
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 253
40.4%
231
36.9%
, 44
 
7.0%
) 43
 
6.9%
( 43
 
6.9%
- 12
 
1.9%
Hangul
ValueCountFrequency (%)
동 80
 
10.2%
서 47
 
6.0%
로 44
 
5.6%
시 43
 
5.5%
울 43
 
5.5%
별 43
 
5.5%
특 43
 
5.5%
구 43
 
5.5%
천 43
 
5.5%
양 43
 
5.5%
Other values (66) 310
39.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)59.5%
Missing6
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean12077.514
Minimum7922
Maximum158825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-06T21:41:30.648364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7922
5-th percentile7936.8
Q17971
median7997
Q38028
95-th percentile8089.6
Maximum158825
Range150903
Interquartile range (IQR)57

Descriptive statistics

Standard deviation24795.331
Coefficient of variation (CV)2.0530162
Kurtosis36.999675
Mean12077.514
Median Absolute Deviation (MAD)31
Skewness6.0827235
Sum446868
Variance6.1480844 × 108
MonotonicityNot monotonic
2024-04-06T21:41:30.906379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
7997 5
11.6%
8028 3
 
7.0%
7983 3
 
7.0%
7937 3
 
7.0%
8060 2
 
4.7%
7939 2
 
4.7%
7971 2
 
4.7%
7995 2
 
4.7%
8087 2
 
4.7%
8100 1
 
2.3%
Other values (12) 12
27.9%
(Missing) 6
14.0%
ValueCountFrequency (%)
7922 1
 
2.3%
7936 1
 
2.3%
7937 3
7.0%
7939 2
4.7%
7942 1
 
2.3%
7945 1
 
2.3%
7971 2
4.7%
7983 3
7.0%
7995 2
4.7%
7996 1
 
2.3%
ValueCountFrequency (%)
158825 1
 
2.3%
8100 1
 
2.3%
8087 2
4.7%
8082 1
 
2.3%
8078 1
 
2.3%
8060 2
4.7%
8047 1
 
2.3%
8028 3
7.0%
8025 1
 
2.3%
8023 1
 
2.3%

사업장명
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-06T21:41:31.323085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.6511628
Min length3

Characters and Unicode

Total characters329
Distinct characters127
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

Unique41 ?
Unique (%)95.3%

Sample

1st row(주)유니아나
2nd row코스마
3rd row(주)창원정보통신
4th row(주)비앤비코리아
5th row(주)조이캐스트
ValueCountFrequency (%)
주식회사 6
 
10.5%
소프트 3
 
5.3%
주)조이캐스트 2
 
3.5%
주)유니아나 2
 
3.5%
베스트 1
 
1.8%
가재연구소 1
 
1.8%
씨엘소프트웨어 1
 
1.8%
주)웨이트포유 1
 
1.8%
탑 1
 
1.8%
시스템 1
 
1.8%
Other values (38) 38
66.7%
2024-04-06T21:41:32.031099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 18
 
5.5%
트 18
 
5.5%
) 14
 
4.3%
14
 
4.3%
이 14
 
4.3%
( 13
 
4.0%
스 12
 
3.6%
소 11
 
3.3%
프 10
 
3.0%
에 6
 
1.8%
Other values (117) 199
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 236
71.7%
Uppercase Letter 29
 
8.8%
Lowercase Letter 20
 
6.1%
Close Punctuation 14
 
4.3%
Space Separator 14
 
4.3%
Open Punctuation 13
 
4.0%
Decimal Number 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
7.6%
트 18
 
7.6%
이 14
 
5.9%
스 12
 
5.1%
소 11
 
4.7%
프 10
 
4.2%
에 6
 
2.5%
식 6
 
2.5%
회 6
 
2.5%
사 6
 
2.5%
Other values (83) 129
54.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
10.3%
I 3
10.3%
T 3
10.3%
M 3
10.3%
K 2
 
6.9%
D 2
 
6.9%
E 2
 
6.9%
L 2
 
6.9%
R 2
 
6.9%
S 1
 
3.4%
Other values (6) 6
20.7%
Lowercase Letter
ValueCountFrequency (%)
i 3
15.0%
s 3
15.0%
n 3
15.0%
u 2
10.0%
e 2
10.0%
y 1
 
5.0%
l 1
 
5.0%
p 1
 
5.0%
o 1
 
5.0%
r 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 236
71.7%
Latin 49
 
14.9%
Common 44
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
7.6%
트 18
 
7.6%
이 14
 
5.9%
스 12
 
5.1%
소 11
 
4.7%
프 10
 
4.2%
에 6
 
2.5%
식 6
 
2.5%
회 6
 
2.5%
사 6
 
2.5%
Other values (83) 129
54.7%
Latin
ValueCountFrequency (%)
i 3
 
6.1%
B 3
 
6.1%
I 3
 
6.1%
T 3
 
6.1%
M 3
 
6.1%
s 3
 
6.1%
n 3
 
6.1%
u 2
 
4.1%
K 2
 
4.1%
e 2
 
4.1%
Other values (18) 22
44.9%
Common
ValueCountFrequency (%)
) 14
31.8%
14
31.8%
( 13
29.5%
. 1
 
2.3%
1 1
 
2.3%
2 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 236
71.7%
ASCII 93
 
28.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 18
 
7.6%
트 18
 
7.6%
이 14
 
5.9%
스 12
 
5.1%
소 11
 
4.7%
프 10
 
4.2%
에 6
 
2.5%
식 6
 
2.5%
회 6
 
2.5%
사 6
 
2.5%
Other values (83) 129
54.7%
ASCII
ValueCountFrequency (%)
) 14
15.1%
14
15.1%
( 13
14.0%
i 3
 
3.2%
B 3
 
3.2%
I 3
 
3.2%
T 3
 
3.2%
M 3
 
3.2%
s 3
 
3.2%
n 3
 
3.2%
Other values (24) 31
33.3%

최종수정일자
Date

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2006-03-02 14:57:47
Maximum2024-03-22 10:23:51
2024-04-06T21:41:32.293665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:41:32.570754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
I
39 
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 39
90.7%
U 4
 
9.3%

Length

2024-04-06T21:41:32.838491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:33.059560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
90.7%
u 4
 
9.3%

데이터갱신일자
Categorical

IMBALANCE 

Distinct8
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
2018-08-31 23:59:59.0
36 
2021-01-16 02:40:00.0
 
1
2022-11-02 00:09:00.0
 
1
2020-03-08 00:23:22.0
 
1
2021-08-04 02:40:00.0
 
1
Other values (3)
 
3

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique7 ?
Unique (%)16.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 36
83.7%
2021-01-16 02:40:00.0 1
 
2.3%
2022-11-02 00:09:00.0 1
 
2.3%
2020-03-08 00:23:22.0 1
 
2.3%
2021-08-04 02:40:00.0 1
 
2.3%
2021-12-05 22:04:00.0 1
 
2.3%
2021-07-28 00:22:52.0 1
 
2.3%
2023-12-02 22:04:00.0 1
 
2.3%

Length

2024-04-06T21:41:33.267491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:33.513476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 36
41.9%
23:59:59.0 36
41.9%
02:40:00.0 2
 
2.3%
22:04:00.0 2
 
2.3%
2021-01-16 1
 
1.2%
2022-11-02 1
 
1.2%
00:09:00.0 1
 
1.2%
2020-03-08 1
 
1.2%
00:23:22.0 1
 
1.2%
2021-08-04 1
 
1.2%
Other values (4) 4
 
4.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

좌표정보(X)
Real number (ℝ)

Distinct32
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187673.69
Minimum185189.16
Maximum189224.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-06T21:41:33.813502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185189.16
5-th percentile185790.85
Q1186764.26
median187823.5
Q3188812.35
95-th percentile189131.39
Maximum189224.68
Range4035.5227
Interquartile range (IQR)2048.0937

Descriptive statistics

Standard deviation1151.2593
Coefficient of variation (CV)0.0061343671
Kurtosis-0.92904861
Mean187673.69
Median Absolute Deviation (MAD)1048.0121
Skewness-0.40389875
Sum8069968.6
Variance1325398
MonotonicityNot monotonic
2024-04-06T21:41:34.247241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
188953.066831076 3
 
7.0%
186246.991152497 3
 
7.0%
187823.500716444 3
 
7.0%
189224.684682604 2
 
4.7%
188584.345447275 2
 
4.7%
188871.512837973 2
 
4.7%
188931.638471219 2
 
4.7%
186573.826294742 2
 
4.7%
187265.646036998 1
 
2.3%
187751.609899954 1
 
2.3%
Other values (22) 22
51.2%
ValueCountFrequency (%)
185189.161953746 1
 
2.3%
185395.8932466 1
 
2.3%
185762.48333563 1
 
2.3%
186046.157893805 1
 
2.3%
186232.439661613 1
 
2.3%
186246.991152497 3
7.0%
186573.826294742 2
4.7%
186705.185046611 1
 
2.3%
186823.332741331 1
 
2.3%
186889.526648358 1
 
2.3%
ValueCountFrequency (%)
189224.684682604 2
4.7%
189151.208015925 1
 
2.3%
188953.066831076 3
7.0%
188931.638471219 2
4.7%
188884.075622342 1
 
2.3%
188871.512837973 2
4.7%
188753.192363527 1
 
2.3%
188629.222126032 1
 
2.3%
188584.345447275 2
4.7%
188569.926635188 1
 
2.3%

좌표정보(Y)
Real number (ℝ)

Distinct32
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447134.46
Minimum445428.45
Maximum449327.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-06T21:41:34.582304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445428.45
5-th percentile445900.34
Q1446623.46
median447186.89
Q3447410.06
95-th percentile448294.03
Maximum449327.86
Range3899.4132
Interquartile range (IQR)786.60063

Descriptive statistics

Standard deviation791.47016
Coefficient of variation (CV)0.0017700943
Kurtosis1.6183296
Mean447134.46
Median Absolute Deviation (MAD)425.75107
Skewness0.68056935
Sum19226782
Variance626425.01
MonotonicityNot monotonic
2024-04-06T21:41:34.845948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
447333.569187997 3
 
7.0%
446545.508907396 3
 
7.0%
447457.457884414 3
 
7.0%
448126.370368706 2
 
4.7%
447255.070457495 2
 
4.7%
447348.13213342 2
 
4.7%
449327.860338868 2
 
4.7%
446542.253942489 2
 
4.7%
446578.869333061 1
 
2.3%
447123.091527719 1
 
2.3%
Other values (22) 22
51.2%
ValueCountFrequency (%)
445428.447103333 1
 
2.3%
445651.658984887 1
 
2.3%
445864.900789493 1
 
2.3%
446219.289491995 1
 
2.3%
446542.253942489 2
4.7%
446545.508907396 3
7.0%
446578.869333061 1
 
2.3%
446609.345448227 1
 
2.3%
446637.571751606 1
 
2.3%
446645.116372202 1
 
2.3%
ValueCountFrequency (%)
449327.860338868 2
4.7%
448304.465258547 1
 
2.3%
448200.067716589 1
 
2.3%
448126.370368706 2
4.7%
447796.458470291 1
 
2.3%
447457.457884414 3
7.0%
447443.79970499 1
 
2.3%
447376.318745095 1
 
2.3%
447348.13213342 2
4.7%
447333.569187997 3
7.0%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
게임물배급업
40 
<NA>
 
3

Length

Max length6
Median length6
Mean length5.8604651
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 40
93.0%
<NA> 3
 
7.0%

Length

2024-04-06T21:41:35.135613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:35.383260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 40
93.0%
na 3
 
7.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
유통관련업
40 
<NA>
 
3

Length

Max length5
Median length5
Mean length4.9302326
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 40
93.0%
<NA> 3
 
7.0%

Length

2024-04-06T21:41:35.774316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:36.092845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 40
93.0%
na 3
 
7.0%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
6
 
2
5
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7209302
Min length1

Unique

Unique2 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
90.7%
6 2
 
4.7%
5 1
 
2.3%
0 1
 
2.3%

Length

2024-04-06T21:41:36.321990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:36.579384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
6 2
 
4.7%
5 1
 
2.3%
0 1
 
2.3%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing40
Missing (%)93.0%
Memory size476.0 B
2024-04-06T21:41:36.963392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4
Min length2

Characters and Unicode

Total characters12
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 (%)33.3%

Sample

1st row주택가주변
2nd row주택가주변
3rd row기타
ValueCountFrequency (%)
주택가주변 2
66.7%
기타 1
33.3%
2024-04-06T21:41:37.456812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
33.3%
택 2
16.7%
가 2
16.7%
변 2
16.7%
기 1
 
8.3%
타 1
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
33.3%
택 2
16.7%
가 2
16.7%
변 2
16.7%
기 1
 
8.3%
타 1
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
33.3%
택 2
16.7%
가 2
16.7%
변 2
16.7%
기 1
 
8.3%
타 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
33.3%
택 2
16.7%
가 2
16.7%
변 2
16.7%
기 1
 
8.3%
타 1
 
8.3%

제작취급품목내용
Text

MISSING 

Distinct17
Distinct (%)68.0%
Missing18
Missing (%)41.9%
Memory size476.0 B
2024-04-06T21:41:37.787398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length5.64
Min length3

Characters and Unicode

Total characters141
Distinct characters41
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

Unique14 ?
Unique (%)56.0%

Sample

1st rowPC온라인게임물
2nd row게임물
3rd row온라인네트워크게임
4th row게임물
5th row웹게임
ValueCountFrequency (%)
게임물 7
22.6%
모바일게임 4
 
12.9%
보드게임 2
 
6.5%
온라인 1
 
3.2%
게임배급 1
 
3.2%
온라인게임프로그램 1
 
3.2%
오락기기 1
 
3.2%
배급업 1
 
3.2%
rpg 1
 
3.2%
mmo 1
 
3.2%
Other values (11) 11
35.5%
2024-04-06T21:41:38.457647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 23
16.3%
임 23
16.3%
물 9
 
6.4%
온 7
 
5.0%
인 7
 
5.0%
라 7
 
5.0%
6
 
4.3%
보 4
 
2.8%
드 4
 
2.8%
일 4
 
2.8%
Other values (31) 47
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
89.4%
Space Separator 6
 
4.3%
Uppercase Letter 5
 
3.5%
Lowercase Letter 3
 
2.1%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 23
18.3%
임 23
18.3%
물 9
 
7.1%
온 7
 
5.6%
인 7
 
5.6%
라 7
 
5.6%
보 4
 
3.2%
드 4
 
3.2%
일 4
 
3.2%
바 4
 
3.2%
Other values (23) 34
27.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
40.0%
R 1
20.0%
G 1
20.0%
C 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
66.7%
o 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
89.4%
Latin 8
 
5.7%
Common 7
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 23
18.3%
임 23
18.3%
물 9
 
7.1%
온 7
 
5.6%
인 7
 
5.6%
라 7
 
5.6%
보 4
 
3.2%
드 4
 
3.2%
일 4
 
3.2%
바 4
 
3.2%
Other values (23) 34
27.0%
Latin
ValueCountFrequency (%)
P 2
25.0%
m 2
25.0%
R 1
12.5%
G 1
12.5%
o 1
12.5%
C 1
12.5%
Common
ValueCountFrequency (%)
6
85.7%
, 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
89.4%
ASCII 15
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 23
18.3%
임 23
18.3%
물 9
 
7.1%
온 7
 
5.6%
인 7
 
5.6%
라 7
 
5.6%
보 4
 
3.2%
드 4
 
3.2%
일 4
 
3.2%
바 4
 
3.2%
Other values (23) 34
27.0%
ASCII
ValueCountFrequency (%)
6
40.0%
P 2
 
13.3%
m 2
 
13.3%
R 1
 
6.7%
G 1
 
6.7%
o 1
 
6.7%
, 1
 
6.7%
C 1
 
6.7%

시설면적
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)85.7%
Missing22
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean100.77952
Minimum3.76
Maximum726.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-06T21:41:38.672544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.76
5-th percentile5
Q129.8
median34.15
Q3104.9
95-th percentile240.79
Maximum726.34
Range722.58
Interquartile range (IQR)75.1

Descriptive statistics

Standard deviation158.79604
Coefficient of variation (CV)1.5756776
Kurtosis12.876725
Mean100.77952
Median Absolute Deviation (MAD)29.15
Skewness3.3604324
Sum2116.37
Variance25216.182
MonotonicityNot monotonic
2024-04-06T21:41:38.955727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
32.0 3
 
7.0%
5.0 2
 
4.7%
221.16 1
 
2.3%
80.11 1
 
2.3%
726.34 1
 
2.3%
3.76 1
 
2.3%
79.0 1
 
2.3%
123.24 1
 
2.3%
45.51 1
 
2.3%
29.8 1
 
2.3%
Other values (8) 8
 
18.6%
(Missing) 22
51.2%
ValueCountFrequency (%)
3.76 1
 
2.3%
5.0 2
4.7%
10.0 1
 
2.3%
21.64 1
 
2.3%
29.8 1
 
2.3%
32.0 3
7.0%
32.76 1
 
2.3%
34.15 1
 
2.3%
45.51 1
 
2.3%
79.0 1
 
2.3%
ValueCountFrequency (%)
726.34 1
2.3%
240.79 1
2.3%
221.16 1
2.3%
162.64 1
2.3%
123.24 1
2.3%
104.9 1
2.3%
94.57 1
2.3%
80.11 1
2.3%
79.0 1
2.3%
45.51 1
2.3%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
38 
5
 
2
4
 
1
2
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.6511628
Min length1

Unique

Unique3 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
88.4%
5 2
 
4.7%
4 1
 
2.3%
2 1
 
2.3%
0 1
 
2.3%

Length

2024-04-06T21:41:39.369386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:39.669462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
88.4%
5 2
 
4.7%
4 1
 
2.3%
2 1
 
2.3%
0 1
 
2.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
38 
1
4 
0
 
1

Length

Max length4
Median length4
Mean length3.6511628
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
88.4%
1 4
 
9.3%
0 1
 
2.3%

Length

2024-04-06T21:41:39.912712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:40.597084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
88.4%
1 4
 
9.3%
0 1
 
2.3%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
40 
근린생활시설
 
3

Length

Max length6
Median length4
Mean length4.1395349
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
93.0%
근린생활시설 3
 
7.0%

Length

2024-04-06T21:41:40.839308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:41.061475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
93.0%
근린생활시설 3
 
7.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
0
 
1

Length

Max length4
Median length4
Mean length3.9302326
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
0 1
 
2.3%

Length

2024-04-06T21:41:41.274039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:41.483900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
0 1
 
2.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
0
 
1

Length

Max length4
Median length4
Mean length3.9302326
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
0 1
 
2.3%

Length

2024-04-06T21:41:41.696719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:41.888307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
0 1
 
2.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
0
 
1

Length

Max length4
Median length4
Mean length3.9302326
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
0 1
 
2.3%

Length

2024-04-06T21:41:42.242511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:42.466100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
0 1
 
2.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
0
 
1

Length

Max length4
Median length4
Mean length3.9302326
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
0 1
 
2.3%

Length

2024-04-06T21:41:42.684585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:42.887915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
0 1
 
2.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
0
 
1

Length

Max length4
Median length4
Mean length3.9302326
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
0 1
 
2.3%

Length

2024-04-06T21:41:43.128280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:41:43.352343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
0 1
 
2.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing41
Missing (%)95.3%
Memory size476.0 B
2024-04-06T21:41:43.572278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
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

Unique0 ?
Unique (%)0.0%

Sample

1st row일반주거지역
2nd row일반주거지역
ValueCountFrequency (%)
일반주거지역 2
100.0%
2024-04-06T21:41:44.056478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03140000CDFF224112199900000119990624<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2654-8088<NA>158050서울특별시 양천구 목동 ***-**번지서울특별시 양천구 목동동로 *** (목동)7983(주)유니아나2007-03-19 10:54:00I2018-08-31 23:59:59.0<NA>189224.684683448126.370369게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13140000CDFF224112199900000319990727<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2608-8911<NA>158070서울특별시 양천구 신정동 ***-*번지서울특별시 양천구 중앙로 *** (신정동)7942코스마2007-01-11 17:19:43I2018-08-31 23:59:59.0<NA>186705.185047447062.58783게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23140000CDFF224112200000000120000908<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6678-0991<NA>158050서울특별시 양천구 목동 ***번지 현대월드타워 ****호서울특별시 양천구 목동서로 **, ****호 (목동,현대월드타워)7983(주)창원정보통신2007-01-11 17:20:04I2018-08-31 23:59:59.0<NA>189151.208016448200.067717게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33140000CDFF224112200000000220000724<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2166-2477<NA>158050서울특별시 양천구 목동 ***-**번지 현대드림타워 *층서울특별시 양천구 목동동로 ***-* (목동,현대드림타워 *층)7995(주)비앤비코리아2007-01-11 17:19:03I2018-08-31 23:59:59.0<NA>188584.345447447255.070457게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43140000CDFF224112200100000120010512<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6678-8200<NA>158050서울특별시 양천구 목동 ***-*번지 기독교방송 **층서울특별시 양천구 목동서로 ***-* (목동,기독교방송 **층)7997(주)조이캐스트2007-01-11 17:20:21I2018-08-31 23:59:59.0<NA>188871.512838447348.132133게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53140000CDFF224112200100000220011006<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158827서울특별시 양천구 신월동 ***-**번지서울특별시 양천구 월정로**길 ** (신월동)7922준엔터테인먼트2007-01-11 17:00:49I2018-08-31 23:59:59.0<NA>185395.893247447796.45847게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63140000CDFF224112200200000120020131<NA>1영업/정상13영업중<NA><NA><NA><NA>02-579-4850<NA>158848서울특별시 양천구 신월동 ****-*번지서울특별시 양천구 남부순환로 ***-* (신월동)8047한미전자2007-01-11 17:02:18I2018-08-31 23:59:59.0<NA>185762.483336445864.900789게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73140000CDFF224112200200000220020205<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6678-8200<NA>158050서울특별시 양천구 목동 ***-*번지 기독교방송 **층서울특별시 양천구 목동서로 ***-* (목동,기독교방송 **층)7997(주)조이캐스트2007-01-11 17:05:20I2018-08-31 23:59:59.0<NA>188871.512838447348.132133게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83140000CDFF224112200200000320020423<NA>1영업/정상13영업중<NA><NA><NA><NA>02-693-9962<NA>158860서울특별시 양천구 신정동 ****-*번지 *층서울특별시 양천구 목동로*길 * (신정동,*층)8023(주)화룡어뮤즈먼트2007-01-11 17:07:35I2018-08-31 23:59:59.0<NA>187888.329644446761.137529게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93140000CDFF224112200200000420020917<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2166-2200<NA>158050서울특별시 양천구 목동 ***-**번지 현대드림타워 *층 ***호서울특별시 양천구 목동동로 ***-*, ***호 (목동,현대드림타워 *층)7995(주)에이씨알코리아2007-01-11 17:21:23I2018-08-31 23:59:59.0<NA>188584.345447447255.070457게임물배급업유통관련업<NA><NA><NA><NA><NA><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
333140000CDFF224112201300000120130604<NA>1영업/정상13영업중<NA><NA><NA><NA>2062-8776<NA><NA>서울특별시 양천구 신정동 ****-*번지서울특별시 양천구 신월로 *** (신정동, *층)8087씨엘소프트웨어2013-06-04 18:38:09I2018-08-31 23:59:59.0<NA>187712.168385446637.571752게임물배급업유통관련업<NA><NA>오락기기221.16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343140000CDFF224112201300000220131111<NA>3폐업3폐업20160225<NA><NA><NA>02-2168-3353<NA><NA>서울특별시 양천구 목동 ***-*번지 현대**타워 ****호서울특별시 양천구 목동동로 ***, ****호 (목동, 스토리에그)7997스토리에그2016-02-25 10:32:03I2018-08-31 23:59:59.0<NA>188953.066831447333.569188게임물배급업유통관련업<NA><NA>모바일게임45.51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353140000CDFF224112201400000120130613<NA>3폐업3폐업20180112<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ****-*번지 도림빌딩 ***-*호서울특별시 양천구 신월로 *** (신정동, 도림빌딩 ***-*호)8087세빛아이티2018-01-12 11:43:17I2018-08-31 23:59:59.0<NA>187777.022416446645.116372게임물배급업유통관련업<NA><NA>온라인게임프로그램123.242<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363140000CDFF224112201600000120060718<NA>3폐업3폐업20210114<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 ***-*서울특별시 양천구 오목로**길 * (신월동)7936한강넷2021-01-14 19:02:52U2021-01-16 02:40:00.0<NA>186232.439662446802.09067게임물배급업유통관련업<NA><NA>게임물79.0<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>
373140000CDFF22411220170000012017-03-31<NA>3폐업3폐업2023-12-06<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***서울특별시 양천구 목동서로 *** (목동, 에스비에스방송센터)7996주식회사 에스비에스2023-12-06 18:19:21U2022-11-02 00:09:00.0<NA>188753.192364447443.799705<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383140000CDFF224112202000000120200306<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ****번지 경남아너스빌서울특별시 양천구 목동동로**길 **-*, ****동 ****호 (신정동, 경남아너스빌)8014주식회사 에이치브이게이트2020-03-06 16:31:34I2020-03-08 00:23:22.0<NA>188569.926635446219.289492게임물배급업유통관련업<NA><NA>모바일게임3.76<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393140000CDFF224112202000000220110613<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*서울특별시 양천구 목동중앙북로 ***, *,*층 (목동)7971주식회사 넥스쳐2021-08-02 08:59:02U2021-08-04 02:40:00.0<NA>188931.638471449327.860339게임물배급업유통관련업<NA><NA>게임배급업726.34<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403140000CDFF224112202100000120210603<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*서울특별시 양천구 목동중앙북로 ***, *층 (목동)7971다다소프트(주)2022-06-22 10:58:57U2021-12-05 22:04:00.0<NA>188931.638471449327.860339<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413140000CDFF224112202100000220210726<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-* 팰리스필아파트 ***호서울특별시 양천구 신정중앙로**길 *-**, ***호 (신정동, 팰리스필아파트)7939주식회사 가재연구소2021-07-26 11:02:29I2021-07-28 00:22:52.0<NA>187052.295972447316.777404게임물배급업유통관련업0<NA>모바일게임80.1100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
423140000CDFF22411220240000012024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-*서울특별시 양천구 오목로**길 **-**, ***호 (신정동)8025주식회사 루마고2024-03-22 10:23:51I2023-12-02 22:04:00.0<NA>187217.667026446748.116675<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>