Overview

Dataset statistics

Number of variables56
Number of observations66
Missing cells1856
Missing cells (%)50.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.5 KiB
Average record size in memory489.0 B

Variable types

Categorical16
Text7
DateTime4
Unsupported23
Numeric6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17309/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
소재지우편번호 is highly imbalanced (74.1%)Imbalance
문화사업자구분명 is highly imbalanced (56.1%)Imbalance
지하층수 is highly imbalanced (70.6%)Imbalance
통로너비 is highly imbalanced (88.7%)Imbalance
조명시설조도 is highly imbalanced (88.7%)Imbalance
노래방실수 is highly imbalanced (88.7%)Imbalance
청소년실수 is highly imbalanced (88.7%)Imbalance
총게임기수 is highly imbalanced (88.7%)Imbalance
지역구분명 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 66 (100.0%) missing valuesMissing
폐업일자 has 52 (78.8%) missing valuesMissing
휴업시작일자 has 66 (100.0%) missing valuesMissing
휴업종료일자 has 66 (100.0%) missing valuesMissing
재개업일자 has 66 (100.0%) missing valuesMissing
전화번호 has 41 (62.1%) missing valuesMissing
소재지면적 has 66 (100.0%) missing valuesMissing
도로명우편번호 has 13 (19.7%) missing valuesMissing
업태구분명 has 66 (100.0%) missing valuesMissing
총층수 has 57 (86.4%) missing valuesMissing
주변환경명 has 66 (100.0%) missing valuesMissing
제작취급품목내용 has 25 (37.9%) missing valuesMissing
시설면적 has 31 (47.0%) missing valuesMissing
지상층수 has 54 (81.8%) missing valuesMissing
건물용도명 has 65 (98.5%) missing valuesMissing
비상계단여부 has 66 (100.0%) missing valuesMissing
비상구여부 has 66 (100.0%) missing valuesMissing
자동환기여부 has 66 (100.0%) missing valuesMissing
청소년실여부 has 66 (100.0%) missing valuesMissing
특수조명여부 has 66 (100.0%) missing valuesMissing
방음시설여부 has 66 (100.0%) missing valuesMissing
비디오재생기명 has 66 (100.0%) missing valuesMissing
조명시설유무 has 66 (100.0%) missing valuesMissing
음향시설여부 has 66 (100.0%) missing valuesMissing
편의시설여부 has 66 (100.0%) missing valuesMissing
소방시설여부 has 66 (100.0%) missing valuesMissing
기존게임업외업종명 has 66 (100.0%) missing valuesMissing
제공게임물명 has 66 (100.0%) missing valuesMissing
공연장형태구분명 has 66 (100.0%) missing valuesMissing
품목명 has 66 (100.0%) missing valuesMissing
최초등록시점 has 66 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
총층수 has 1 (1.5%) zerosZeros
지상층수 has 1 (1.5%) zerosZeros

Reproduction

Analysis started2024-04-29 19:15:02.066137
Analysis finished2024-04-29 19:15:02.963111
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
3170000
66 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3170000 66
100.0%

Length

2024-04-30T04:15:03.020826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:03.105845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 66
100.0%

관리번호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-30T04:15:03.266441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1320
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

Unique66 ?
Unique (%)100.0%

Sample

1st rowCDFF1241111999000001
2nd rowCDFF1241112000000001
3rd rowCDFF1241112001000001
4th rowCDFF1241112001000002
5th rowCDFF1241112006000001
ValueCountFrequency (%)
cdff1241111999000001 1
 
1.5%
cdff1241112020000006 1
 
1.5%
cdff1241112023000006 1
 
1.5%
cdff1241112017000008 1
 
1.5%
cdff1241112017000009 1
 
1.5%
cdff1241112018000001 1
 
1.5%
cdff1241112018000002 1
 
1.5%
cdff1241112018000003 1
 
1.5%
cdff1241112018000005 1
 
1.5%
cdff1241112019000001 1
 
1.5%
Other values (56) 56
84.8%
2024-04-30T04:15:03.572391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 416
31.5%
1 324
24.5%
2 178
13.5%
F 132
 
10.0%
4 78
 
5.9%
C 66
 
5.0%
D 66
 
5.0%
3 19
 
1.4%
7 10
 
0.8%
6 9
 
0.7%
Other values (3) 22
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1056
80.0%
Uppercase Letter 264
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 416
39.4%
1 324
30.7%
2 178
16.9%
4 78
 
7.4%
3 19
 
1.8%
7 10
 
0.9%
6 9
 
0.9%
5 9
 
0.9%
9 8
 
0.8%
8 5
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 132
50.0%
C 66
25.0%
D 66
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1056
80.0%
Latin 264
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 416
39.4%
1 324
30.7%
2 178
16.9%
4 78
 
7.4%
3 19
 
1.8%
7 10
 
0.9%
6 9
 
0.9%
5 9
 
0.9%
9 8
 
0.8%
8 5
 
0.5%
Latin
ValueCountFrequency (%)
F 132
50.0%
C 66
25.0%
D 66
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 416
31.5%
1 324
24.5%
2 178
13.5%
F 132
 
10.0%
4 78
 
5.9%
C 66
 
5.0%
D 66
 
5.0%
3 19
 
1.4%
7 10
 
0.8%
6 9
 
0.7%
Other values (3) 22
 
1.7%

인허가일자
Date

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum1999-08-08 00:00:00
Maximum2024-01-15 00:00:00
2024-04-30T04:15:03.689035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:15:03.807487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
52 
3
12 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 52
78.8%
3 12
 
18.2%
5 2
 
3.0%

Length

2024-04-30T04:15:03.924895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:04.003067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 52
78.8%
3 12
 
18.2%
5 2
 
3.0%

영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
영업/정상
52 
폐업
12 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.5454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 52
78.8%
폐업 12
 
18.2%
제외/삭제/전출 2
 
3.0%

Length

2024-04-30T04:15:04.090376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:04.175326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 52
78.8%
폐업 12
 
18.2%
제외/삭제/전출 2
 
3.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
13
52 
3
12 
15
 
2

Length

Max length2
Median length2
Mean length1.8181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 52
78.8%
3 12
 
18.2%
15 2
 
3.0%

Length

2024-04-30T04:15:04.276357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:04.368913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 52
78.8%
3 12
 
18.2%
15 2
 
3.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
영업중
52 
폐업
12 
전출
 
2

Length

Max length3
Median length3
Mean length2.7878788
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 52
78.8%
폐업 12
 
18.2%
전출 2
 
3.0%

Length

2024-04-30T04:15:04.457983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:04.554218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 52
78.8%
폐업 12
 
18.2%
전출 2
 
3.0%

폐업일자
Date

MISSING 

Distinct13
Distinct (%)92.9%
Missing52
Missing (%)78.8%
Memory size660.0 B
Minimum2008-02-19 00:00:00
Maximum2024-04-04 00:00:00
2024-04-30T04:15:04.646500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:15:04.765877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

전화번호
Text

MISSING 

Distinct23
Distinct (%)92.0%
Missing41
Missing (%)62.1%
Memory size660.0 B
2024-04-30T04:15:04.918479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.6
Min length8

Characters and Unicode

Total characters265
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st row865-1700
2nd row564-0341
3rd row2107-3620
4th row2025-6333
5th row2026-5161
ValueCountFrequency (%)
1577-8449 2
 
8.0%
02)415-7406 2
 
8.0%
070-8154-1582 1
 
4.0%
865-1700 1
 
4.0%
02-3442-5293 1
 
4.0%
02-2071-3781 1
 
4.0%
070-4667-3601 1
 
4.0%
02-6959-3359 1
 
4.0%
070-4012-6624 1
 
4.0%
070-4050-8101 1
 
4.0%
Other values (13) 13
52.0%
2024-04-30T04:15:05.188644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
17.4%
- 35
13.2%
2 28
10.6%
7 25
9.4%
1 24
9.1%
4 23
8.7%
6 21
7.9%
5 20
7.5%
3 17
 
6.4%
8 14
 
5.3%
Other values (2) 12
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 227
85.7%
Dash Punctuation 35
 
13.2%
Close Punctuation 3
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
20.3%
2 28
12.3%
7 25
11.0%
1 24
10.6%
4 23
10.1%
6 21
9.3%
5 20
8.8%
3 17
 
7.5%
8 14
 
6.2%
9 9
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
17.4%
- 35
13.2%
2 28
10.6%
7 25
9.4%
1 24
9.1%
4 23
8.7%
6 21
7.9%
5 20
7.5%
3 17
 
6.4%
8 14
 
5.3%
Other values (2) 12
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
17.4%
- 35
13.2%
2 28
10.6%
7 25
9.4%
1 24
9.1%
4 23
8.7%
6 21
7.9%
5 20
7.5%
3 17
 
6.4%
8 14
 
5.3%
Other values (2) 12
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
60 
153803
 
3
153808
 
1
153801
 
1
153776
 
1

Length

Max length6
Median length4
Mean length4.1818182
Min length4

Unique

Unique3 ?
Unique (%)4.5%

Sample

1st row153808
2nd row153803
3rd row<NA>
4th row153801
5th row153776

Common Values

ValueCountFrequency (%)
<NA> 60
90.9%
153803 3
 
4.5%
153808 1
 
1.5%
153801 1
 
1.5%
153776 1
 
1.5%

Length

2024-04-30T04:15:05.320719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:05.410145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
90.9%
153803 3
 
4.5%
153808 1
 
1.5%
153801 1
 
1.5%
153776 1
 
1.5%

지번주소
Text

Distinct59
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-30T04:15:05.591208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length32.287879
Min length19

Characters and Unicode

Total characters2131
Distinct characters124
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

Unique55 ?
Unique (%)83.3%

Sample

1st row서울특별시 금천구 독산동 ***-**번지
2nd row서울특별시 금천구 가산동 ***번지
3rd row서울특별시 금천구 가산동 ***번지 대륭테크노*층
4th row서울특별시 금천구 가산동 **-**번지 한신아이티타워 *차 ***호
5th row서울특별시 금천구 가산동 ***-**번지 우림라이온스밸리 A동 ****호
ValueCountFrequency (%)
서울특별시 66
17.7%
금천구 66
17.7%
가산동 62
16.6%
번지 41
11.0%
호 30
8.0%
25
 
6.7%
우림라이온스밸리 5
 
1.3%
a동 4
 
1.1%
대륭테크노타운**차 4
 
1.1%
독산동 4
 
1.1%
Other values (54) 66
17.7%
2024-04-30T04:15:05.893882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 435
20.4%
326
 
15.3%
산 75
 
3.5%
동 73
 
3.4%
시 70
 
3.3%
서 67
 
3.1%
가 67
 
3.1%
금 67
 
3.1%
천 67
 
3.1%
울 66
 
3.1%
Other values (114) 818
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1290
60.5%
Other Punctuation 437
 
20.5%
Space Separator 326
 
15.3%
Dash Punctuation 62
 
2.9%
Uppercase Letter 16
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 75
 
5.8%
동 73
 
5.7%
시 70
 
5.4%
서 67
 
5.2%
가 67
 
5.2%
금 67
 
5.2%
천 67
 
5.2%
울 66
 
5.1%
구 66
 
5.1%
특 66
 
5.1%
Other values (98) 606
47.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
25.0%
T 2
12.5%
O 1
 
6.2%
W 1
 
6.2%
S 1
 
6.2%
J 1
 
6.2%
E 1
 
6.2%
R 1
 
6.2%
I 1
 
6.2%
Y 1
 
6.2%
Other values (2) 2
12.5%
Other Punctuation
ValueCountFrequency (%)
* 435
99.5%
, 2
 
0.5%
Space Separator
ValueCountFrequency (%)
326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1290
60.5%
Common 825
38.7%
Latin 16
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 75
 
5.8%
동 73
 
5.7%
시 70
 
5.4%
서 67
 
5.2%
가 67
 
5.2%
금 67
 
5.2%
천 67
 
5.2%
울 66
 
5.1%
구 66
 
5.1%
특 66
 
5.1%
Other values (98) 606
47.0%
Latin
ValueCountFrequency (%)
A 4
25.0%
T 2
12.5%
O 1
 
6.2%
W 1
 
6.2%
S 1
 
6.2%
J 1
 
6.2%
E 1
 
6.2%
R 1
 
6.2%
I 1
 
6.2%
Y 1
 
6.2%
Other values (2) 2
12.5%
Common
ValueCountFrequency (%)
* 435
52.7%
326
39.5%
- 62
 
7.5%
, 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1290
60.5%
ASCII 841
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 435
51.7%
326
38.8%
- 62
 
7.4%
A 4
 
0.5%
T 2
 
0.2%
, 2
 
0.2%
O 1
 
0.1%
W 1
 
0.1%
S 1
 
0.1%
J 1
 
0.1%
Other values (6) 6
 
0.7%
Hangul
ValueCountFrequency (%)
산 75
 
5.8%
동 73
 
5.7%
시 70
 
5.4%
서 67
 
5.2%
가 67
 
5.2%
금 67
 
5.2%
천 67
 
5.2%
울 66
 
5.1%
구 66
 
5.1%
특 66
 
5.1%
Other values (98) 606
47.0%

도로명주소
Text

Distinct62
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-30T04:15:06.122250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length46
Mean length42.090909
Min length26

Characters and Unicode

Total characters2778
Distinct characters139
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

Unique59 ?
Unique (%)89.4%

Sample

1st row서울특별시 금천구 독산로**길 ** (독산동)
2nd row서울특별시 금천구 가산디지털*로 ** (가산동)
3rd row서울특별시 금천구 가산디지털*로 *** (가산동, 대륭테크노*층)
4th row서울특별시 금천구 디지털로*길 ** (가산동,한신아이티타워 *차 ***호)
5th row서울특별시 금천구 가산디지털*로 ***, A동 ****호 (가산동,우림라이온스밸리)
ValueCountFrequency (%)
67
14.2%
서울특별시 66
14.0%
금천구 66
14.0%
호 54
11.5%
가산동 51
10.8%
가산디지털*로 37
 
7.9%
층 10
 
2.1%
디지털로*길 7
 
1.5%
벚꽃로 6
 
1.3%
대륭테크노타운**차 5
 
1.1%
Other values (74) 102
21.7%
2024-04-30T04:15:06.459797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 494
17.8%
415
 
14.9%
산 117
 
4.2%
가 105
 
3.8%
, 93
 
3.3%
동 77
 
2.8%
서 72
 
2.6%
시 70
 
2.5%
천 67
 
2.4%
금 67
 
2.4%
Other values (129) 1201
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1604
57.7%
Other Punctuation 591
 
21.3%
Space Separator 415
 
14.9%
Open Punctuation 66
 
2.4%
Close Punctuation 66
 
2.4%
Uppercase Letter 31
 
1.1%
Dash Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 117
 
7.3%
가 105
 
6.5%
동 77
 
4.8%
서 72
 
4.5%
시 70
 
4.4%
천 67
 
4.2%
금 67
 
4.2%
별 66
 
4.1%
특 66
 
4.1%
구 66
 
4.1%
Other values (107) 831
51.8%
Uppercase Letter
ValueCountFrequency (%)
A 5
16.1%
B 4
12.9%
C 4
12.9%
T 3
9.7%
Y 3
9.7%
I 3
9.7%
H 2
 
6.5%
S 1
 
3.2%
J 1
 
3.2%
O 1
 
3.2%
Other values (4) 4
12.9%
Other Punctuation
ValueCountFrequency (%)
* 494
83.6%
, 93
 
15.7%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
415
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1604
57.7%
Common 1143
41.1%
Latin 31
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 117
 
7.3%
가 105
 
6.5%
동 77
 
4.8%
서 72
 
4.5%
시 70
 
4.4%
천 67
 
4.2%
금 67
 
4.2%
별 66
 
4.1%
특 66
 
4.1%
구 66
 
4.1%
Other values (107) 831
51.8%
Latin
ValueCountFrequency (%)
A 5
16.1%
B 4
12.9%
C 4
12.9%
T 3
9.7%
Y 3
9.7%
I 3
9.7%
H 2
 
6.5%
S 1
 
3.2%
J 1
 
3.2%
O 1
 
3.2%
Other values (4) 4
12.9%
Common
ValueCountFrequency (%)
* 494
43.2%
415
36.3%
, 93
 
8.1%
( 66
 
5.8%
) 66
 
5.8%
- 4
 
0.3%
. 4
 
0.3%
~ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1604
57.7%
ASCII 1174
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 494
42.1%
415
35.3%
, 93
 
7.9%
( 66
 
5.6%
) 66
 
5.6%
A 5
 
0.4%
B 4
 
0.3%
- 4
 
0.3%
. 4
 
0.3%
C 4
 
0.3%
Other values (12) 19
 
1.6%
Hangul
ValueCountFrequency (%)
산 117
 
7.3%
가 105
 
6.5%
동 77
 
4.8%
서 72
 
4.5%
시 70
 
4.4%
천 67
 
4.2%
금 67
 
4.2%
별 66
 
4.1%
특 66
 
4.1%
구 66
 
4.1%
Other values (107) 831
51.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)43.4%
Missing13
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean11277.491
Minimum8500
Maximum153801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-04-30T04:15:06.558090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8502
Q18506
median8512
Q38589
95-th percentile8596.6
Maximum153801
Range145301
Interquartile range (IQR)83

Descriptive statistics

Standard deviation19953.633
Coefficient of variation (CV)1.7693327
Kurtosis52.999547
Mean11277.491
Median Absolute Deviation (MAD)8
Skewness7.2800641
Sum597707
Variance3.9814746 × 108
MonotonicityNot monotonic
2024-04-30T04:15:06.655057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8589 7
10.6%
8511 4
 
6.1%
8512 4
 
6.1%
8506 4
 
6.1%
8505 4
 
6.1%
8507 4
 
6.1%
8504 3
 
4.5%
8591 3
 
4.5%
8503 2
 
3.0%
8502 2
 
3.0%
Other values (13) 16
24.2%
(Missing) 13
19.7%
ValueCountFrequency (%)
8500 1
 
1.5%
8501 1
 
1.5%
8502 2
3.0%
8503 2
3.0%
8504 3
4.5%
8505 4
6.1%
8506 4
6.1%
8507 4
6.1%
8510 1
 
1.5%
8511 4
6.1%
ValueCountFrequency (%)
153801 1
 
1.5%
8608 1
 
1.5%
8599 1
 
1.5%
8595 1
 
1.5%
8593 2
 
3.0%
8591 3
4.5%
8589 7
10.6%
8588 2
 
3.0%
8584 1
 
1.5%
8518 1
 
1.5%

사업장명
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-30T04:15:06.832663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13.5
Mean length8.9090909
Min length1

Characters and Unicode

Total characters588
Distinct characters148
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)93.9%

Sample

1st rowDNB제작실
2nd row(주)한신코퍼레이션
3rd row(주)유진테크
4th row미디어케이션
5th row(주)리더피엠씨
ValueCountFrequency (%)
주식회사 15
 
18.1%
주)에이븐게임 2
 
2.4%
시샵코리아 2
 
2.4%
플레이스비(주 1
 
1.2%
주)소프트애드 1
 
1.2%
시샵미디어 1
 
1.2%
주)에스앤에스모바일 1
 
1.2%
주)러닝캠퍼스 1
 
1.2%
주)스퀘어엠 1
 
1.2%
참수리디앤에이 1
 
1.2%
Other values (57) 57
68.7%
2024-04-30T04:15:07.137352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 55
 
9.4%
( 39
 
6.6%
) 39
 
6.6%
이 29
 
4.9%
스 22
 
3.7%
17
 
2.9%
식 16
 
2.7%
사 16
 
2.7%
회 16
 
2.7%
에 16
 
2.7%
Other values (138) 323
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 484
82.3%
Open Punctuation 39
 
6.6%
Close Punctuation 39
 
6.6%
Space Separator 17
 
2.9%
Uppercase Letter 6
 
1.0%
Lowercase Letter 2
 
0.3%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 55
 
11.4%
이 29
 
6.0%
스 22
 
4.5%
식 16
 
3.3%
사 16
 
3.3%
회 16
 
3.3%
에 16
 
3.3%
디 15
 
3.1%
어 11
 
2.3%
인 10
 
2.1%
Other values (127) 278
57.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
N 1
16.7%
D 1
16.7%
J 1
16.7%
T 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
n 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
82.5%
Common 95
 
16.2%
Latin 8
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 55
 
11.3%
이 29
 
6.0%
스 22
 
4.5%
식 16
 
3.3%
사 16
 
3.3%
회 16
 
3.3%
에 16
 
3.3%
디 15
 
3.1%
어 11
 
2.3%
인 10
 
2.1%
Other values (128) 279
57.5%
Latin
ValueCountFrequency (%)
B 2
25.0%
N 1
12.5%
D 1
12.5%
J 1
12.5%
T 1
12.5%
i 1
12.5%
n 1
12.5%
Common
ValueCountFrequency (%)
( 39
41.1%
) 39
41.1%
17
17.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
82.1%
ASCII 103
 
17.5%
None 1
 
0.2%
Compat Jamo 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 55
 
11.4%
이 29
 
6.0%
스 22
 
4.6%
식 16
 
3.3%
사 16
 
3.3%
회 16
 
3.3%
에 16
 
3.3%
디 15
 
3.1%
어 11
 
2.3%
인 10
 
2.1%
Other values (126) 277
57.3%
ASCII
ValueCountFrequency (%)
( 39
37.9%
) 39
37.9%
17
16.5%
B 2
 
1.9%
N 1
 
1.0%
D 1
 
1.0%
J 1
 
1.0%
T 1
 
1.0%
i 1
 
1.0%
n 1
 
1.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2006-02-14 11:42:52
Maximum2024-04-04 17:51:35
2024-04-30T04:15:07.281870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:15:07.463639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
I
49 
U
17 

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 49
74.2%
U 17
 
25.8%

Length

2024-04-30T04:15:07.617533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:07.710983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 49
74.2%
u 17
 
25.8%

데이터갱신일자
Date

Distinct30
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T04:15:07.791720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:15:07.887864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

좌표정보(X)
Real number (ℝ)

Distinct48
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189629.17
Minimum188968.19
Maximum191372.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-04-30T04:15:08.003408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188968.19
5-th percentile189057.81
Q1189367.66
median189538.02
Q3189861.53
95-th percentile190185.05
Maximum191372.4
Range2404.2053
Interquartile range (IQR)493.87104

Descriptive statistics

Standard deviation426.38336
Coefficient of variation (CV)0.0022485115
Kurtosis3.9136544
Mean189629.17
Median Absolute Deviation (MAD)254.0448
Skewness1.424006
Sum12515525
Variance181802.77
MonotonicityNot monotonic
2024-04-30T04:15:08.292656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
189538.020935968 5
 
7.6%
189504.258704224 4
 
6.1%
189285.310103951 3
 
4.5%
189055.138252216 2
 
3.0%
189722.178532426 2
 
3.0%
189877.178943503 2
 
3.0%
189127.981104583 2
 
3.0%
188968.189711073 2
 
3.0%
190185.054136417 2
 
3.0%
189522.336721798 2
 
3.0%
Other values (38) 40
60.6%
ValueCountFrequency (%)
188968.189711073 2
3.0%
189055.138252216 2
3.0%
189065.818334596 1
 
1.5%
189089.927764903 1
 
1.5%
189127.981104583 2
3.0%
189201.559775268 1
 
1.5%
189228.282678816 1
 
1.5%
189282.642165078 1
 
1.5%
189285.310103951 3
4.5%
189325.86426015 1
 
1.5%
ValueCountFrequency (%)
191372.395002051 1
1.5%
190799.832998673 1
1.5%
190694.880295092 1
1.5%
190185.054136417 2
3.0%
190099.41176063 1
1.5%
190023.426907798 1
1.5%
190021.956927088 1
1.5%
189982.344533404 1
1.5%
189975.894746956 1
1.5%
189943.546219232 1
1.5%

좌표정보(Y)
Real number (ℝ)

Distinct48
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441606.87
Minimum439379.27
Maximum442569.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-04-30T04:15:08.404327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439379.27
5-th percentile440642.46
Q1441352.36
median441751.08
Q3441982.43
95-th percentile442429.92
Maximum442569.3
Range3190.0278
Interquartile range (IQR)630.06963

Descriptive statistics

Standard deviation597.00712
Coefficient of variation (CV)0.0013518973
Kurtosis2.5025246
Mean441606.87
Median Absolute Deviation (MAD)342.56756
Skewness-1.2822062
Sum29146053
Variance356417.5
MonotonicityNot monotonic
2024-04-30T04:15:08.533009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
441982.427934953 5
 
7.6%
441390.738560411 4
 
6.1%
441997.330701427 3
 
4.5%
441958.334400683 2
 
3.0%
441920.972770099 2
 
3.0%
442093.648596802 2
 
3.0%
442460.505542105 2
 
3.0%
442119.780901928 2
 
3.0%
441381.452926959 2
 
3.0%
441654.010373182 2
 
3.0%
Other values (38) 40
60.6%
ValueCountFrequency (%)
439379.272866954 1
1.5%
439885.941303087 1
1.5%
440416.170972838 1
1.5%
440609.209534256 1
1.5%
440742.223479611 1
1.5%
440742.552942182 1
1.5%
440764.426277932 1
1.5%
440815.210400794 1
1.5%
441010.052948731 2
3.0%
441036.050850249 1
1.5%
ValueCountFrequency (%)
442569.300676147 1
 
1.5%
442493.020182986 1
 
1.5%
442460.505542105 2
3.0%
442338.144130222 1
 
1.5%
442205.867457803 1
 
1.5%
442139.514492212 1
 
1.5%
442119.780901928 2
3.0%
442093.648596802 2
3.0%
442066.99866487 1
 
1.5%
441997.330701427 3
4.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
비디오물배급업
46 
<NA>
20 

Length

Max length7
Median length7
Mean length6.0909091
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 46
69.7%
<NA> 20
30.3%

Length

2024-04-30T04:15:08.638188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:08.723462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 46
69.7%
na 20
30.3%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
60 
유통관련업
 
6

Length

Max length5
Median length4
Mean length4.0909091
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
90.9%
유통관련업 6
 
9.1%

Length

2024-04-30T04:15:08.807336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:08.883538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
90.9%
유통관련업 6
 
9.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)77.8%
Missing57
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean12.666667
Minimum0
Maximum23
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-04-30T04:15:08.950326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.4
Q111
median12
Q318
95-th percentile21
Maximum23
Range23
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.8373972
Coefficient of variation (CV)0.53979451
Kurtosis0.42262739
Mean12.666667
Median Absolute Deviation (MAD)6
Skewness-0.46490826
Sum114
Variance46.75
MonotonicityNot monotonic
2024-04-30T04:15:09.028010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
12 2
 
3.0%
18 2
 
3.0%
6 1
 
1.5%
11 1
 
1.5%
14 1
 
1.5%
23 1
 
1.5%
0 1
 
1.5%
(Missing) 57
86.4%
ValueCountFrequency (%)
0 1
1.5%
6 1
1.5%
11 1
1.5%
12 2
3.0%
14 1
1.5%
18 2
3.0%
23 1
1.5%
ValueCountFrequency (%)
23 1
1.5%
18 2
3.0%
14 1
1.5%
12 2
3.0%
11 1
1.5%
6 1
1.5%
0 1
1.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

제작취급품목내용
Text

MISSING 

Distinct30
Distinct (%)73.2%
Missing25
Missing (%)37.9%
Memory size660.0 B
2024-04-30T04:15:09.194178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length17
Mean length9.3658537
Min length3

Characters and Unicode

Total characters384
Distinct characters100
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

Unique27 ?
Unique (%)65.9%

Sample

1st row비디오
2nd row비디오물
3rd row비디오물
4th row비디오물,영상물
5th row전자기기,영상물,컨텐츠 제공
ValueCountFrequency (%)
비디오물 12
 
16.0%
및 4
 
5.3%
영상물 3
 
4.0%
홍보영상 2
 
2.7%
영상 2
 
2.7%
광고 2
 
2.7%
비디오 2
 
2.7%
에니메이션 2
 
2.7%
일체 1
 
1.3%
비디오물(다큐멘터리 1
 
1.3%
Other values (44) 44
58.7%
2024-04-30T04:15:09.509346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
9.1%
물 30
 
7.8%
디 24
 
6.2%
비 23
 
6.0%
오 23
 
6.0%
영 22
 
5.7%
상 17
 
4.4%
, 15
 
3.9%
D 9
 
2.3%
이 7
 
1.8%
Other values (90) 179
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
76.3%
Space Separator 35
 
9.1%
Other Punctuation 20
 
5.2%
Uppercase Letter 17
 
4.4%
Decimal Number 13
 
3.4%
Open Punctuation 3
 
0.8%
Close Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 30
 
10.2%
디 24
 
8.2%
비 23
 
7.8%
오 23
 
7.8%
영 22
 
7.5%
상 17
 
5.8%
이 7
 
2.4%
메 6
 
2.0%
니 6
 
2.0%
션 6
 
2.0%
Other values (71) 129
44.0%
Decimal Number
ValueCountFrequency (%)
3 4
30.8%
0 3
23.1%
2 2
15.4%
4 1
 
7.7%
6 1
 
7.7%
1 1
 
7.7%
8 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
D 9
52.9%
V 4
23.5%
R 1
 
5.9%
I 1
 
5.9%
P 1
 
5.9%
T 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 15
75.0%
. 3
 
15.0%
/ 2
 
10.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
76.3%
Common 74
 
19.3%
Latin 17
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 30
 
10.2%
디 24
 
8.2%
비 23
 
7.8%
오 23
 
7.8%
영 22
 
7.5%
상 17
 
5.8%
이 7
 
2.4%
메 6
 
2.0%
니 6
 
2.0%
션 6
 
2.0%
Other values (71) 129
44.0%
Common
ValueCountFrequency (%)
35
47.3%
, 15
20.3%
3 4
 
5.4%
( 3
 
4.1%
. 3
 
4.1%
0 3
 
4.1%
) 3
 
4.1%
/ 2
 
2.7%
2 2
 
2.7%
4 1
 
1.4%
Other values (3) 3
 
4.1%
Latin
ValueCountFrequency (%)
D 9
52.9%
V 4
23.5%
R 1
 
5.9%
I 1
 
5.9%
P 1
 
5.9%
T 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
76.3%
ASCII 91
 
23.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
38.5%
, 15
16.5%
D 9
 
9.9%
V 4
 
4.4%
3 4
 
4.4%
( 3
 
3.3%
. 3
 
3.3%
0 3
 
3.3%
) 3
 
3.3%
/ 2
 
2.2%
Other values (9) 10
 
11.0%
Hangul
ValueCountFrequency (%)
물 30
 
10.2%
디 24
 
8.2%
비 23
 
7.8%
오 23
 
7.8%
영 22
 
7.5%
상 17
 
5.8%
이 7
 
2.4%
메 6
 
2.0%
니 6
 
2.0%
션 6
 
2.0%
Other values (71) 129
44.0%

시설면적
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)91.4%
Missing31
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean116.36143
Minimum1
Maximum549.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-04-30T04:15:09.636921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q135.3
median86.27
Q3145.65
95-th percentile305.828
Maximum549.06
Range548.06
Interquartile range (IQR)110.35

Descriptive statistics

Standard deviation113.56104
Coefficient of variation (CV)0.97593369
Kurtosis5.0690321
Mean116.36143
Median Absolute Deviation (MAD)55.17
Skewness1.8923622
Sum4072.65
Variance12896.109
MonotonicityNot monotonic
2024-04-30T04:15:09.757626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.0 2
 
3.0%
232.7 2
 
3.0%
132.6 2
 
3.0%
313.5 1
 
1.5%
150.05 1
 
1.5%
7.8 1
 
1.5%
86.27 1
 
1.5%
89.1 1
 
1.5%
49.87 1
 
1.5%
15.0 1
 
1.5%
Other values (22) 22
33.3%
(Missing) 31
47.0%
ValueCountFrequency (%)
1.0 2
3.0%
2.5 1
1.5%
5.0 1
1.5%
7.8 1
1.5%
15.0 1
1.5%
26.5 1
1.5%
29.75 1
1.5%
35.0 1
1.5%
35.6 1
1.5%
49.5 1
1.5%
ValueCountFrequency (%)
549.06 1
1.5%
313.5 1
1.5%
302.54 1
1.5%
232.7 2
3.0%
224.31 1
1.5%
219.59 1
1.5%
150.05 1
1.5%
149.86 1
1.5%
141.44 1
1.5%
135.27 1
1.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)75.0%
Missing54
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean7.75
Minimum0
Maximum15
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-04-30T04:15:09.845889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q14.5
median6
Q312.25
95-th percentile15
Maximum15
Range15
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation5.2245052
Coefficient of variation (CV)0.6741297
Kurtosis-1.4731916
Mean7.75
Median Absolute Deviation (MAD)4.5
Skewness0.14716404
Sum93
Variance27.295455
MonotonicityNot monotonic
2024-04-30T04:15:09.930940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 3
 
4.5%
15 2
 
3.0%
2 1
 
1.5%
3 1
 
1.5%
7 1
 
1.5%
11 1
 
1.5%
12 1
 
1.5%
13 1
 
1.5%
0 1
 
1.5%
(Missing) 54
81.8%
ValueCountFrequency (%)
0 1
 
1.5%
2 1
 
1.5%
3 1
 
1.5%
5 3
4.5%
7 1
 
1.5%
11 1
 
1.5%
12 1
 
1.5%
13 1
 
1.5%
15 2
3.0%
ValueCountFrequency (%)
15 2
3.0%
13 1
 
1.5%
12 1
 
1.5%
11 1
 
1.5%
7 1
 
1.5%
5 3
4.5%
3 1
 
1.5%
2 1
 
1.5%
0 1
 
1.5%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
59 
2
 
3
3
 
2
1
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.6818182
Min length1

Unique

Unique2 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
89.4%
2 3
 
4.5%
3 2
 
3.0%
1 1
 
1.5%
0 1
 
1.5%

Length

2024-04-30T04:15:10.034749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:10.129603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
89.4%
2 3
 
4.5%
3 2
 
3.0%
1 1
 
1.5%
0 1
 
1.5%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing65
Missing (%)98.5%
Memory size660.0 B
2024-04-30T04:15:10.234032image/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 row교육연구시설
ValueCountFrequency (%)
교육연구시설 1
100.0%
2024-04-30T04:15:10.432417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1
16.7%
육 1
16.7%
연 1
16.7%
구 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 (%)
교 1
16.7%
육 1
16.7%
연 1
16.7%
구 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 (%)
교 1
16.7%
육 1
16.7%
연 1
16.7%
구 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 (%)
교 1
16.7%
육 1
16.7%
연 1
16.7%
구 1
16.7%
시 1
16.7%
설 1
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-04-30T04:15:10.548893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:10.648537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-04-30T04:15:10.741410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:10.832250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-04-30T04:15:10.929796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:11.010918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-04-30T04:15:11.095243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:11.183022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-04-30T04:15:11.275906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:11.358245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

지역구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
60 
준공업지역
 
6

Length

Max length5
Median length4
Mean length4.0909091
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> 60
90.9%
준공업지역 6
 
9.1%

Length

2024-04-30T04:15:11.442021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:11.522886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
90.9%
준공업지역 6
 
9.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF124111199900000119990808<NA>1영업/정상13영업중<NA><NA><NA><NA>865-1700<NA>153808서울특별시 금천구 독산동 ***-**번지서울특별시 금천구 독산로**길 ** (독산동)<NA>DNB제작실2007-02-16 16:36:46I2018-08-31 23:59:59.0<NA>191372.395002440742.552942비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13170000CDFF124111200000000120000513<NA>1영업/정상13영업중<NA><NA><NA><NA>564-0341<NA>153803서울특별시 금천구 가산동 ***번지서울특별시 금천구 가산디지털*로 ** (가산동)<NA>(주)한신코퍼레이션2007-02-16 16:40:08I2018-08-31 23:59:59.0<NA>190021.956927440609.209534비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23170000CDFF124111200100000120010323<NA>1영업/정상13영업중<NA><NA><NA><NA>2107-3620<NA><NA>서울특별시 금천구 가산동 ***번지 대륭테크노*층서울특별시 금천구 가산디지털*로 *** (가산동, 대륭테크노*층)8505(주)유진테크2013-12-26 18:30:48I2018-08-31 23:59:59.0<NA>189228.282679441767.908596비디오물배급업<NA><NA><NA>비디오<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33170000CDFF124111200100000220011109<NA>3폐업3폐업20080219<NA><NA><NA>2025-6333<NA>153801서울특별시 금천구 가산동 **-**번지 한신아이티타워 *차 ***호서울특별시 금천구 디지털로*길 ** (가산동,한신아이티타워 *차 ***호)<NA>미디어케이션2008-02-19 18:11:54I2018-08-31 23:59:59.0<NA>189834.383376441938.326057비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43170000CDFF124111200600000120060214<NA>1영업/정상13영업중<NA><NA><NA><NA>2026-5161<NA>153776서울특별시 금천구 가산동 ***-**번지 우림라이온스밸리 A동 ****호서울특별시 금천구 가산디지털*로 ***, A동 ****호 (가산동,우림라이온스밸리)<NA>(주)리더피엠씨2006-02-14 11:42:52I2018-08-31 23:59:59.0<NA>189538.020936441982.427935비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53170000CDFF124111200600000220060308<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>153803서울특별시 금천구 가산동 ***-**번지 벽산*차 ***호서울특별시 금천구 가산디지털*로 ***, ***호 (가산동,벽산*차)<NA>신아정보기술(주)2006-03-08 10:00:27I2018-08-31 23:59:59.0<NA>189127.981105442460.505542비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63170000CDFF124111200600000320061101<NA>1영업/정상13영업중<NA><NA><NA><NA>21085343<NA>153803서울특별시 금천구 가산동 ***-*번지 대륭테크노타운*차 ****호서울특별시 금천구 서부샛길 ***, ****호 (가산동,대륭테크노타운*차)<NA>(주)에네메스2006-11-01 17:19:46I2018-08-31 23:59:59.0<NA>188968.189711442119.780902비디오물배급업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73170000CDFF124111200700000120070831<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**번지 대륭테크노타운*차 ***호서울특별시 금천구 가마산로 **, 대륭테크노타운*차 ***호 (가산동)8501(주)마더텅2019-11-26 17:50:51U2019-11-28 02:40:00.0<NA>189089.927765442569.300676비디오물배급업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83170000CDFF124111200900000320090904<NA>1영업/정상13영업중<NA><NA><NA><NA>2113-2277<NA><NA>서울특별시 금천구 가산동 ***-**번지 벽산경인디지털밸리*차 ****호서울특별시 금천구 가산디지털*로 ***, ****호 (가산동,벽산경인디지털밸리*차)<NA>(주)포디포디2009-09-04 14:07:32I2018-08-31 23:59:59.0<NA>189127.981105442460.505542비디오물배급업<NA><NA><NA>비디오물,영상물119.93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93170000CDFF124111200900000420070813<NA>3폐업3폐업20151030<NA><NA><NA>070-7615-0050<NA><NA>서울특별시 금천구 가산동 ***-*번지 에스케이트윈테크타워 비동 ***호서울특별시 금천구 가산디지털*로 ***, 비동 ***호 (가산동, 에스케이트윈테크타워)8589(주)글로벌미디어테크2015-10-30 15:57:44I2018-08-31 23:59:59.0<NA>189575.815288441503.181731비디오물배급업<NA>6<NA>전자기기,영상물,컨텐츠 제공49.951교육연구시설<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
563170000CDFF12411120220000032022-07-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**서울특별시 금천구 가산디지털*로 ***, 대륭테크노타운**차 ****호 (가산동)8507주식회사 마이에듀2023-06-01 11:04:27U2022-12-06 00:03:00.0<NA>189590.415185441837.131446<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573170000CDFF124111202200000420151119<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**서울특별시 금천구 서부샛길 ***, ***호 (가산동, 미소지움)8505주식회사 시샵코리아2022-07-19 09:32:23I2021-12-06 22:01:00.0<NA>189201.559775441568.367323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583170000CDFF124111202200000520190813<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**서울특별시 금천구 가산디지털*로 **, **층 ,비***호 (가산동)8593(주)위더스애드2022-07-19 15:26:17I2021-12-06 22:01:00.0<NA>189525.6001441036.05085<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593170000CDFF12411120220000062022-10-13<NA>5제외/삭제/전출15전출2023-03-29<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 가산테라타워서울특별시 금천구 디지털로**길 **, 가산테라타워 ****호 (가산동)8517주식회사 레드아이스엔터테인먼트2023-03-29 13:35:18U2022-12-02 21:01:00.0<NA>190185.054136441381.452927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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