Overview

Dataset statistics

Number of variables56
Number of observations103
Missing cells2856
Missing cells (%)49.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.9 KiB
Average record size in memory486.3 B

Variable types

Categorical17
Text8
DateTime3
Unsupported23
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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-17868/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (81.0%)Imbalance
지하층수 is highly imbalanced (63.5%)Imbalance
건물용도명 is highly imbalanced (55.4%)Imbalance
통로너비 is highly imbalanced (81.0%)Imbalance
조명시설조도 is highly imbalanced (81.0%)Imbalance
노래방실수 is highly imbalanced (81.0%)Imbalance
청소년실수 is highly imbalanced (81.0%)Imbalance
총게임기수 is highly imbalanced (81.0%)Imbalance
인허가취소일자 has 103 (100.0%) missing valuesMissing
폐업일자 has 72 (69.9%) missing valuesMissing
휴업시작일자 has 103 (100.0%) missing valuesMissing
휴업종료일자 has 103 (100.0%) missing valuesMissing
재개업일자 has 103 (100.0%) missing valuesMissing
전화번호 has 14 (13.6%) missing valuesMissing
소재지면적 has 103 (100.0%) missing valuesMissing
소재지우편번호 has 45 (43.7%) missing valuesMissing
지번주소 has 2 (1.9%) missing valuesMissing
도로명주소 has 4 (3.9%) missing valuesMissing
도로명우편번호 has 16 (15.5%) missing valuesMissing
업태구분명 has 103 (100.0%) missing valuesMissing
좌표정보(X) has 5 (4.9%) missing valuesMissing
좌표정보(Y) has 5 (4.9%) missing valuesMissing
총층수 has 82 (79.6%) missing valuesMissing
제작취급품목내용 has 103 (100.0%) missing valuesMissing
시설면적 has 61 (59.2%) missing valuesMissing
지상층수 has 82 (79.6%) missing valuesMissing
비상계단여부 has 103 (100.0%) missing valuesMissing
비상구여부 has 103 (100.0%) missing valuesMissing
자동환기여부 has 103 (100.0%) missing valuesMissing
청소년실여부 has 103 (100.0%) missing valuesMissing
특수조명여부 has 103 (100.0%) missing valuesMissing
방음시설여부 has 103 (100.0%) missing valuesMissing
비디오재생기명 has 103 (100.0%) missing valuesMissing
조명시설유무 has 103 (100.0%) missing valuesMissing
음향시설여부 has 103 (100.0%) missing valuesMissing
편의시설여부 has 103 (100.0%) missing valuesMissing
소방시설여부 has 103 (100.0%) missing valuesMissing
기존게임업외업종명 has 103 (100.0%) missing valuesMissing
제공게임물명 has 103 (100.0%) missing valuesMissing
공연장형태구분명 has 103 (100.0%) missing valuesMissing
품목명 has 103 (100.0%) missing valuesMissing
최초등록시점 has 103 (100.0%) missing valuesMissing
지역구분명 has 99 (96.1%) missing valuesMissing
관리번호 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
제작취급품목내용 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 6 (5.8%) zerosZeros
시설면적 has 8 (7.8%) zerosZeros
지상층수 has 6 (5.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:01:28.473246
Analysis finished2024-05-11 06:01:29.233440
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
3160000
103 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 103
100.0%

Length

2024-05-11T15:01:29.330031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:29.451161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 103
100.0%

관리번호
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-05-11T15:01:29.690974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2060
Distinct characters14
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

Unique103 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001968000001
2nd rowCDFG1252001974000001
3rd rowCDFG1252001975000001
4th rowCDFG1252001979000001
5th rowCDFG1252001980000001
ValueCountFrequency (%)
cdfg1252001968000001 1
 
1.0%
cdfg1252002018000005 1
 
1.0%
cdfg1252002018000002 1
 
1.0%
cdfg1252002018000001 1
 
1.0%
cdfg1252002017000002 1
 
1.0%
cdfg1252002017000001 1
 
1.0%
cdfg1252002016000007 1
 
1.0%
cdfg1252002016000006 1
 
1.0%
cdfg1252002016000004 1
 
1.0%
cdfg1252002016000002 1
 
1.0%
Other values (93) 93
90.3%
2024-05-11T15:01:30.185459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 846
41.1%
2 334
 
16.2%
1 210
 
10.2%
5 116
 
5.6%
C 103
 
5.0%
D 103
 
5.0%
F 103
 
5.0%
G 103
 
5.0%
9 41
 
2.0%
3 28
 
1.4%
Other values (4) 73
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1648
80.0%
Uppercase Letter 412
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 846
51.3%
2 334
 
20.3%
1 210
 
12.7%
5 116
 
7.0%
9 41
 
2.5%
3 28
 
1.7%
4 22
 
1.3%
6 19
 
1.2%
8 16
 
1.0%
7 16
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 103
25.0%
D 103
25.0%
F 103
25.0%
G 103
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1648
80.0%
Latin 412
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 846
51.3%
2 334
 
20.3%
1 210
 
12.7%
5 116
 
7.0%
9 41
 
2.5%
3 28
 
1.7%
4 22
 
1.3%
6 19
 
1.2%
8 16
 
1.0%
7 16
 
1.0%
Latin
ValueCountFrequency (%)
C 103
25.0%
D 103
25.0%
F 103
25.0%
G 103
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 846
41.1%
2 334
 
16.2%
1 210
 
10.2%
5 116
 
5.6%
C 103
 
5.0%
D 103
 
5.0%
F 103
 
5.0%
G 103
 
5.0%
9 41
 
2.0%
3 28
 
1.4%
Other values (4) 73
 
3.5%

인허가일자
Date

Distinct101
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum1968-10-31 00:00:00
Maximum2024-01-25 00:00:00
2024-05-11T15:01:30.397578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:01:30.626966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
71 
3
30 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 71
68.9%
3 30
29.1%
5 2
 
1.9%

Length

2024-05-11T15:01:30.859769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:31.007672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 71
68.9%
3 30
29.1%
5 2
 
1.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
영업/정상
71 
폐업
30 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.184466
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 71
68.9%
폐업 30
29.1%
제외/삭제/전출 2
 
1.9%

Length

2024-05-11T15:01:31.202784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:31.374709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 71
68.9%
폐업 30
29.1%
제외/삭제/전출 2
 
1.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
13
71 
3
30 
15
 
2

Length

Max length2
Median length2
Mean length1.7087379
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 71
68.9%
3 30
29.1%
15 2
 
1.9%

Length

2024-05-11T15:01:31.542463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:31.712066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 71
68.9%
3 30
29.1%
15 2
 
1.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
영업중
71 
폐업
30 
전출
 
2

Length

Max length3
Median length3
Mean length2.6893204
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 71
68.9%
폐업 30
29.1%
전출 2
 
1.9%

Length

2024-05-11T15:01:31.889819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:32.071593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 71
68.9%
폐업 30
29.1%
전출 2
 
1.9%

폐업일자
Date

MISSING 

Distinct31
Distinct (%)100.0%
Missing72
Missing (%)69.9%
Memory size956.0 B
Minimum1987-12-22 00:00:00
Maximum2023-12-07 00:00:00
2024-05-11T15:01:32.366883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:01:32.589794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

전화번호
Text

MISSING 

Distinct88
Distinct (%)98.9%
Missing14
Missing (%)13.6%
Memory size956.0 B
2024-05-11T15:01:32.986492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.8539326
Min length2

Characters and Unicode

Total characters877
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

Unique87 ?
Unique (%)97.8%

Sample

1st row862-5556
2nd row857-2345
3rd row863-3789
4th row863-2827
5th row862-8786
ValueCountFrequency (%)
02-853-3011 2
 
2.2%
856-3377 1
 
1.1%
862-5556 1
 
1.1%
02-6969-7091 1
 
1.1%
02-536-0774 1
 
1.1%
02-2107-6153 1
 
1.1%
02-2612-0636 1
 
1.1%
070-7014-5593 1
 
1.1%
02 1
 
1.1%
02-6032-5032 1
 
1.1%
Other values (78) 78
87.6%
2024-05-11T15:01:33.857916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 130
14.8%
- 130
14.8%
2 112
12.8%
8 97
11.1%
3 82
9.4%
6 71
8.1%
1 61
7.0%
5 57
6.5%
7 55
6.3%
4 42
 
4.8%
Other values (2) 40
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 746
85.1%
Dash Punctuation 130
 
14.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
17.4%
2 112
15.0%
8 97
13.0%
3 82
11.0%
6 71
9.5%
1 61
8.2%
5 57
7.6%
7 55
7.4%
4 42
 
5.6%
9 39
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 877
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 130
14.8%
- 130
14.8%
2 112
12.8%
8 97
11.1%
3 82
9.4%
6 71
8.1%
1 61
7.0%
5 57
6.5%
7 55
6.3%
4 42
 
4.8%
Other values (2) 40
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 877
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 130
14.8%
- 130
14.8%
2 112
12.8%
8 97
11.1%
3 82
9.4%
6 71
8.1%
1 61
7.0%
5 57
6.5%
7 55
6.3%
4 42
 
4.8%
Other values (2) 40
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

소재지우편번호
Text

MISSING 

Distinct31
Distinct (%)53.4%
Missing45
Missing (%)43.7%
Memory size956.0 B
2024-05-11T15:01:34.447229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0344828
Min length6

Characters and Unicode

Total characters350
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

Unique21 ?
Unique (%)36.2%

Sample

1st row152848
2nd row152724
3rd row152848
4th row152857
5th row152877
ValueCountFrequency (%)
152848 14
24.1%
152847 4
 
6.9%
152769 3
 
5.2%
152790 3
 
5.2%
152906 3
 
5.2%
152775 2
 
3.4%
152831 2
 
3.4%
152858 2
 
3.4%
152780 2
 
3.4%
152768 2
 
3.4%
Other values (21) 21
36.2%
2024-05-11T15:01:35.433674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 64
18.3%
2 62
17.7%
1 61
17.4%
8 58
16.6%
7 37
10.6%
4 23
 
6.6%
0 15
 
4.3%
6 12
 
3.4%
9 12
 
3.4%
3 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 348
99.4%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 64
18.4%
2 62
17.8%
1 61
17.5%
8 58
16.7%
7 37
10.6%
4 23
 
6.6%
0 15
 
4.3%
6 12
 
3.4%
9 12
 
3.4%
3 4
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 64
18.3%
2 62
17.7%
1 61
17.4%
8 58
16.6%
7 37
10.6%
4 23
 
6.6%
0 15
 
4.3%
6 12
 
3.4%
9 12
 
3.4%
3 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 64
18.3%
2 62
17.7%
1 61
17.4%
8 58
16.6%
7 37
10.6%
4 23
 
6.6%
0 15
 
4.3%
6 12
 
3.4%
9 12
 
3.4%
3 4
 
1.1%

지번주소
Text

MISSING 

Distinct67
Distinct (%)66.3%
Missing2
Missing (%)1.9%
Memory size956.0 B
2024-05-11T15:01:36.060562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length27.821782
Min length19

Characters and Unicode

Total characters2810
Distinct characters113
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

Unique58 ?
Unique (%)57.4%

Sample

1st row서울특별시 구로구 구로동 ***-*번지
2nd row서울특별시 구로구 구로동 ***-**번지
3rd row서울특별시 구로구 구로동 ***-*번지
4th row서울특별시 구로구 구로동 ***-**번지
5th row서울특별시 구로구 구로동 ***-*번지
ValueCountFrequency (%)
서울특별시 101
20.1%
구로구 101
20.1%
구로동 81
16.1%
번지 79
15.7%
호 29
 
5.8%
22
 
4.4%
대륭포스트타워*차 10
 
2.0%
층 6
 
1.2%
온수동 6
 
1.2%
신도림동 5
 
1.0%
Other values (47) 62
12.4%
2024-05-11T15:01:36.815619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 577
20.5%
460
16.4%
구 285
10.1%
로 183
 
6.5%
동 109
 
3.9%
울 102
 
3.6%
서 102
 
3.6%
시 102
 
3.6%
별 101
 
3.6%
특 101
 
3.6%
Other values (103) 688
24.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1668
59.4%
Other Punctuation 578
 
20.6%
Space Separator 460
 
16.4%
Dash Punctuation 85
 
3.0%
Uppercase Letter 17
 
0.6%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 285
17.1%
로 183
11.0%
동 109
 
6.5%
울 102
 
6.1%
서 102
 
6.1%
시 102
 
6.1%
별 101
 
6.1%
특 101
 
6.1%
지 89
 
5.3%
번 79
 
4.7%
Other values (90) 415
24.9%
Uppercase Letter
ValueCountFrequency (%)
B 5
29.4%
A 4
23.5%
T 3
17.6%
I 2
 
11.8%
S 1
 
5.9%
K 1
 
5.9%
P 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 577
99.8%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1668
59.4%
Common 1125
40.0%
Latin 17
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 285
17.1%
로 183
11.0%
동 109
 
6.5%
울 102
 
6.1%
서 102
 
6.1%
시 102
 
6.1%
별 101
 
6.1%
특 101
 
6.1%
지 89
 
5.3%
번 79
 
4.7%
Other values (90) 415
24.9%
Latin
ValueCountFrequency (%)
B 5
29.4%
A 4
23.5%
T 3
17.6%
I 2
 
11.8%
S 1
 
5.9%
K 1
 
5.9%
P 1
 
5.9%
Common
ValueCountFrequency (%)
* 577
51.3%
460
40.9%
- 85
 
7.6%
) 1
 
0.1%
( 1
 
0.1%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1668
59.4%
ASCII 1142
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 577
50.5%
460
40.3%
- 85
 
7.4%
B 5
 
0.4%
A 4
 
0.4%
T 3
 
0.3%
I 2
 
0.2%
) 1
 
0.1%
( 1
 
0.1%
S 1
 
0.1%
Other values (3) 3
 
0.3%
Hangul
ValueCountFrequency (%)
구 285
17.1%
로 183
11.0%
동 109
 
6.5%
울 102
 
6.1%
서 102
 
6.1%
시 102
 
6.1%
별 101
 
6.1%
특 101
 
6.1%
지 89
 
5.3%
번 79
 
4.7%
Other values (90) 415
24.9%

도로명주소
Text

MISSING 

Distinct78
Distinct (%)78.8%
Missing4
Missing (%)3.9%
Memory size956.0 B
2024-05-11T15:01:37.472437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length35.636364
Min length23

Characters and Unicode

Total characters3528
Distinct characters136
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)72.7%

Sample

1st row서울특별시 구로구 디지털로**길 ** (구로동)
2nd row서울특별시 구로구 구로중앙로**길 ** (구로동)
3rd row서울특별시 구로구 구로동로 ** (구로동)
4th row서울특별시 구로구 디지털로**길 ** (구로동)
5th row서울특별시 구로구 구로동로**길 ** (구로동)
ValueCountFrequency (%)
101
16.0%
서울특별시 99
15.7%
구로구 99
15.7%
구로동 77
12.2%
디지털로**길 46
 
7.3%
호 43
 
6.8%
층 17
 
2.7%
디지털로 13
 
2.1%
대륭포스트타워*차 10
 
1.6%
온수동 7
 
1.1%
Other values (81) 119
18.9%
2024-05-11T15:01:38.911025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 614
17.4%
544
15.4%
구 289
 
8.2%
로 287
 
8.1%
동 109
 
3.1%
서 101
 
2.9%
) 101
 
2.9%
( 101
 
2.9%
시 101
 
2.9%
울 100
 
2.8%
Other values (126) 1181
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2036
57.7%
Other Punctuation 708
 
20.1%
Space Separator 544
 
15.4%
Close Punctuation 101
 
2.9%
Open Punctuation 101
 
2.9%
Uppercase Letter 19
 
0.5%
Dash Punctuation 18
 
0.5%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 289
14.2%
로 287
14.1%
동 109
 
5.4%
서 101
 
5.0%
시 101
 
5.0%
울 100
 
4.9%
별 99
 
4.9%
특 99
 
4.9%
지 73
 
3.6%
길 70
 
3.4%
Other values (111) 708
34.8%
Uppercase Letter
ValueCountFrequency (%)
B 6
31.6%
A 4
21.1%
T 3
15.8%
I 2
 
10.5%
S 1
 
5.3%
K 1
 
5.3%
P 1
 
5.3%
D 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 614
86.7%
, 94
 
13.3%
Space Separator
ValueCountFrequency (%)
544
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2036
57.7%
Common 1472
41.7%
Latin 20
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 289
14.2%
로 287
14.1%
동 109
 
5.4%
서 101
 
5.0%
시 101
 
5.0%
울 100
 
4.9%
별 99
 
4.9%
특 99
 
4.9%
지 73
 
3.6%
길 70
 
3.4%
Other values (111) 708
34.8%
Latin
ValueCountFrequency (%)
B 6
30.0%
A 4
20.0%
T 3
15.0%
I 2
 
10.0%
Ⅱ 1
 
5.0%
S 1
 
5.0%
K 1
 
5.0%
P 1
 
5.0%
D 1
 
5.0%
Common
ValueCountFrequency (%)
* 614
41.7%
544
37.0%
) 101
 
6.9%
( 101
 
6.9%
, 94
 
6.4%
- 18
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2036
57.7%
ASCII 1491
42.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 614
41.2%
544
36.5%
) 101
 
6.8%
( 101
 
6.8%
, 94
 
6.3%
- 18
 
1.2%
B 6
 
0.4%
A 4
 
0.3%
T 3
 
0.2%
I 2
 
0.1%
Other values (4) 4
 
0.3%
Hangul
ValueCountFrequency (%)
구 289
14.2%
로 287
14.1%
동 109
 
5.4%
서 101
 
5.0%
시 101
 
5.0%
울 100
 
4.9%
별 99
 
4.9%
특 99
 
4.9%
지 73
 
3.6%
길 70
 
3.4%
Other values (111) 708
34.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct55
Distinct (%)63.2%
Missing16
Missing (%)15.5%
Memory size956.0 B
2024-05-11T15:01:39.318820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5057471
Min length5

Characters and Unicode

Total characters479
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

Unique37 ?
Unique (%)42.5%

Sample

1st row152724
2nd row152857
3rd row152877
4th row152847
5th row152848
ValueCountFrequency (%)
152848 5
 
5.7%
08389 5
 
5.7%
08377 4
 
4.6%
08262 4
 
4.6%
152769 3
 
3.4%
08376 3
 
3.4%
152906 3
 
3.4%
152790 3
 
3.4%
08212 2
 
2.3%
08393 2
 
2.3%
Other values (45) 53
60.9%
2024-05-11T15:01:40.040397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 89
18.6%
2 72
15.0%
0 66
13.8%
7 53
11.1%
1 51
10.6%
5 48
10.0%
3 33
 
6.9%
9 27
 
5.6%
6 21
 
4.4%
4 17
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 477
99.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 89
18.7%
2 72
15.1%
0 66
13.8%
7 53
11.1%
1 51
10.7%
5 48
10.1%
3 33
 
6.9%
9 27
 
5.7%
6 21
 
4.4%
4 17
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 479
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 89
18.6%
2 72
15.0%
0 66
13.8%
7 53
11.1%
1 51
10.6%
5 48
10.0%
3 33
 
6.9%
9 27
 
5.6%
6 21
 
4.4%
4 17
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 479
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 89
18.6%
2 72
15.0%
0 66
13.8%
7 53
11.1%
1 51
10.6%
5 48
10.0%
3 33
 
6.9%
9 27
 
5.6%
6 21
 
4.4%
4 17
 
3.5%

사업장명
Text

Distinct102
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-05-11T15:01:40.494760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.1553398
Min length2

Characters and Unicode

Total characters737
Distinct characters191
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)98.1%

Sample

1st row한국문원
2nd row동광전산인쇄소
3rd row한국일보사
4th row동아문화사
5th row유림인쇄사
ValueCountFrequency (%)
주식회사 6
 
5.1%
주)트랜드북스 2
 
1.7%
다큐몰 2
 
1.7%
디자인 2
 
1.7%
구로디지털점 2
 
1.7%
디엠코리아 1
 
0.8%
주)영진다이렉컴 1
 
0.8%
주)엠프린텍 1
 
0.8%
주)데이타링크솔루션 1
 
0.8%
주)오킴앤커뮤니케이션 1
 
0.8%
Other values (99) 99
83.9%
2024-05-11T15:01:41.277704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 50
 
6.8%
) 43
 
5.8%
( 42
 
5.7%
사 26
 
3.5%
인 24
 
3.3%
스 22
 
3.0%
문 17
 
2.3%
화 16
 
2.2%
쇄 16
 
2.2%
15
 
2.0%
Other values (181) 466
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
84.8%
Close Punctuation 43
 
5.8%
Open Punctuation 42
 
5.7%
Space Separator 15
 
2.0%
Other Punctuation 7
 
0.9%
Uppercase Letter 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 50
 
8.0%
사 26
 
4.2%
인 24
 
3.8%
스 22
 
3.5%
문 17
 
2.7%
화 16
 
2.6%
쇄 16
 
2.6%
이 12
 
1.9%
프 11
 
1.8%
성 11
 
1.8%
Other values (170) 420
67.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
C 1
20.0%
D 1
20.0%
K 1
20.0%
F 1
20.0%
Other Punctuation
ValueCountFrequency (%)
' 4
57.1%
. 2
28.6%
& 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 625
84.8%
Common 107
 
14.5%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 50
 
8.0%
사 26
 
4.2%
인 24
 
3.8%
스 22
 
3.5%
문 17
 
2.7%
화 16
 
2.6%
쇄 16
 
2.6%
이 12
 
1.9%
프 11
 
1.8%
성 11
 
1.8%
Other values (170) 420
67.2%
Common
ValueCountFrequency (%)
) 43
40.2%
( 42
39.3%
15
 
14.0%
' 4
 
3.7%
. 2
 
1.9%
& 1
 
0.9%
Latin
ValueCountFrequency (%)
B 1
20.0%
C 1
20.0%
D 1
20.0%
K 1
20.0%
F 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 625
84.8%
ASCII 112
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 50
 
8.0%
사 26
 
4.2%
인 24
 
3.8%
스 22
 
3.5%
문 17
 
2.7%
화 16
 
2.6%
쇄 16
 
2.6%
이 12
 
1.9%
프 11
 
1.8%
성 11
 
1.8%
Other values (170) 420
67.2%
ASCII
ValueCountFrequency (%)
) 43
38.4%
( 42
37.5%
15
 
13.4%
' 4
 
3.6%
. 2
 
1.8%
B 1
 
0.9%
C 1
 
0.9%
D 1
 
0.9%
K 1
 
0.9%
F 1
 
0.9%

최종수정일자
Date

Distinct92
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum2003-04-18 15:20:43
Maximum2024-01-25 14:57:34
2024-05-11T15:01:41.566833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:01:41.837845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
I
79 
U
24 

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 79
76.7%
U 24
 
23.3%

Length

2024-05-11T15:01:42.136850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:42.329735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 79
76.7%
u 24
 
23.3%

데이터갱신일자
Categorical

Distinct42
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
2018-08-31 23:59:59.0
61 
2020-06-19 00:23:17.0
 
2
2020-05-13 02:40:00.0
 
1
2019-04-03 02:20:12.0
 
1
2021-09-16 02:40:00.0
 
1
Other values (37)
37 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique40 ?
Unique (%)38.8%

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 61
59.2%
2020-06-19 00:23:17.0 2
 
1.9%
2020-05-13 02:40:00.0 1
 
1.0%
2019-04-03 02:20:12.0 1
 
1.0%
2021-09-16 02:40:00.0 1
 
1.0%
2022-12-03 23:06:00.0 1
 
1.0%
2019-12-05 02:40:00.0 1
 
1.0%
2022-12-02 00:03:00.0 1
 
1.0%
2018-11-09 02:36:32.0 1
 
1.0%
2018-11-10 02:36:43.0 1
 
1.0%
Other values (32) 32
31.1%

Length

2024-05-11T15:01:42.511574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 63
30.6%
2018-08-31 61
29.6%
02:40:00.0 10
 
4.9%
00:03:00.0 3
 
1.5%
2021-12-06 2
 
1.0%
22:00:00.0 2
 
1.0%
2021-12-09 2
 
1.0%
2022-12-05 2
 
1.0%
2021-12-07 2
 
1.0%
00:23:17.0 2
 
1.0%
Other values (55) 57
27.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)65.3%
Missing5
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean189647.55
Minimum183605.88
Maximum190980.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T15:01:42.730043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183605.88
5-th percentile183707.31
Q1189919.85
median190461.79
Q3190611.94
95-th percentile190887.12
Maximum190980.66
Range7374.778
Interquartile range (IQR)692.08622

Descriptive statistics

Standard deviation1991.6986
Coefficient of variation (CV)0.010502106
Kurtosis4.0983172
Mean189647.55
Median Absolute Deviation (MAD)226.95703
Skewness-2.3034163
Sum18585460
Variance3966863.4
MonotonicityNot monotonic
2024-05-11T15:01:42.983285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190461.790473157 6
 
5.8%
183605.879396358 5
 
4.9%
190594.904645635 5
 
4.9%
190666.864354145 4
 
3.9%
190609.413674522 4
 
3.9%
190680.536850936 3
 
2.9%
189405.468987534 2
 
1.9%
190394.394227379 2
 
1.9%
190479.902194476 2
 
1.9%
190504.7782409 2
 
1.9%
Other values (54) 63
61.2%
(Missing) 5
 
4.9%
ValueCountFrequency (%)
183605.879396358 5
4.9%
183725.210246235 1
 
1.0%
183780.365466518 1
 
1.0%
184861.891003458 1
 
1.0%
185175.680090227 1
 
1.0%
185902.456978533 1
 
1.0%
187213.025109705 1
 
1.0%
187511.40258308 1
 
1.0%
188674.995072188 1
 
1.0%
188689.934031325 1
 
1.0%
ValueCountFrequency (%)
190980.657371441 1
1.0%
190967.257864999 1
1.0%
190942.769217577 1
1.0%
190919.498006713 1
1.0%
190887.117653337 2
1.9%
190880.117362333 2
1.9%
190845.231594802 2
1.9%
190822.851419439 1
1.0%
190776.468544178 1
1.0%
190741.158117503 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)65.3%
Missing5
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean443046.93
Minimum441976.95
Maximum445430.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T15:01:43.273360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441976.95
5-th percentile442154.99
Q1442368.09
median442687.68
Q3443589.29
95-th percentile444729.96
Maximum445430.98
Range3454.0247
Interquartile range (IQR)1221.1978

Descriptive statistics

Standard deviation881.63963
Coefficient of variation (CV)0.0019899464
Kurtosis-0.20912263
Mean443046.93
Median Absolute Deviation (MAD)426.0236
Skewness0.95601044
Sum43418600
Variance777288.44
MonotonicityNot monotonic
2024-05-11T15:01:43.554321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442368.090413171 6
 
5.8%
443561.596910962 5
 
4.9%
442261.654499191 5
 
4.9%
442750.016695612 4
 
3.9%
442782.030555155 4
 
3.9%
442392.645303533 3
 
2.9%
444719.612328337 2
 
1.9%
444191.966689461 2
 
1.9%
442751.419539641 2
 
1.9%
442154.992807483 2
 
1.9%
Other values (54) 63
61.2%
(Missing) 5
 
4.9%
ValueCountFrequency (%)
441976.954473605 1
 
1.0%
442071.447779897 1
 
1.0%
442113.916061607 2
 
1.9%
442154.992807483 2
 
1.9%
442180.924990173 1
 
1.0%
442204.788273087 2
 
1.9%
442240.604273101 1
 
1.0%
442253.132895893 1
 
1.0%
442261.654499191 5
4.9%
442273.668137171 2
 
1.9%
ValueCountFrequency (%)
445430.97917589 1
1.0%
445250.538868558 1
1.0%
445138.272381439 1
1.0%
444836.673561831 1
1.0%
444788.599979535 1
1.0%
444719.612328337 2
1.9%
444715.218537294 1
1.0%
444585.36813806 1
1.0%
444529.495557634 1
1.0%
444306.771104527 1
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
인쇄사
86 
<NA>
17 

Length

Max length4
Median length3
Mean length3.1650485
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 86
83.5%
<NA> 17
 
16.5%

Length

2024-05-11T15:01:43.988649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:44.329046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 86
83.5%
na 17
 
16.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
출판인쇄업
86 
<NA>
17 

Length

Max length5
Median length5
Mean length4.8349515
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 86
83.5%
<NA> 17
 
16.5%

Length

2024-05-11T15:01:44.656162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:44.841873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 86
83.5%
na 17
 
16.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)33.3%
Missing82
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum8
Zeros6
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T15:01:45.023106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1213203
Coefficient of variation (CV)1.0606602
Kurtosis2.0748538
Mean2
Median Absolute Deviation (MAD)1
Skewness1.3894028
Sum42
Variance4.5
MonotonicityNot monotonic
2024-05-11T15:01:45.265975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 6
 
5.8%
3 5
 
4.9%
1 5
 
4.9%
2 2
 
1.9%
4 1
 
1.0%
6 1
 
1.0%
8 1
 
1.0%
(Missing) 82
79.6%
ValueCountFrequency (%)
0 6
5.8%
1 5
4.9%
2 2
 
1.9%
3 5
4.9%
4 1
 
1.0%
6 1
 
1.0%
8 1
 
1.0%
ValueCountFrequency (%)
8 1
 
1.0%
6 1
 
1.0%
4 1
 
1.0%
3 5
4.9%
2 2
 
1.9%
1 5
4.9%
0 6
5.8%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
100 
기타
 
3

Length

Max length4
Median length4
Mean length3.9417476
Min length2

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> 100
97.1%
기타 3
 
2.9%

Length

2024-05-11T15:01:45.561162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:45.864984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
97.1%
기타 3
 
2.9%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)78.6%
Missing61
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean697.67619
Minimum0
Maximum9836
Zeros8
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T15:01:46.123955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130.5625
median160.67
Q3473.25
95-th percentile3534.011
Maximum9836
Range9836
Interquartile range (IQR)442.6875

Descriptive statistics

Standard deviation1736.1533
Coefficient of variation (CV)2.4884801
Kurtosis19.410991
Mean697.67619
Median Absolute Deviation (MAD)160.67
Skewness4.1627358
Sum29302.4
Variance3014228.4
MonotonicityNot monotonic
2024-05-11T15:01:46.427457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 8
 
7.8%
33.0 2
 
1.9%
495.0 2
 
1.9%
25.0 1
 
1.0%
95.0 1
 
1.0%
231.0 1
 
1.0%
165.29 1
 
1.0%
185.41 1
 
1.0%
4382.06 1
 
1.0%
53.07 1
 
1.0%
Other values (23) 23
 
22.3%
(Missing) 61
59.2%
ValueCountFrequency (%)
0.0 8
7.8%
25.0 1
 
1.0%
28.0 1
 
1.0%
29.75 1
 
1.0%
33.0 2
 
1.9%
53.07 1
 
1.0%
58.58 1
 
1.0%
77.22 1
 
1.0%
95.0 1
 
1.0%
112.4 1
 
1.0%
ValueCountFrequency (%)
9836.0 1
1.0%
4382.06 1
1.0%
3537.6 1
1.0%
3465.82 1
1.0%
824.0 1
1.0%
660.0 1
1.0%
560.0 1
1.0%
526.8 1
1.0%
495.0 2
1.9%
484.0 1
1.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)28.6%
Missing82
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean1.2857143
Minimum0
Maximum6
Zeros6
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T15:01:46.616772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5856499
Coefficient of variation (CV)1.2332833
Kurtosis4.0732157
Mean1.2857143
Median Absolute Deviation (MAD)0
Skewness2.0571765
Sum27
Variance2.5142857
MonotonicityNot monotonic
2024-05-11T15:01:46.942705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 11
 
10.7%
0 6
 
5.8%
2 1
 
1.0%
3 1
 
1.0%
5 1
 
1.0%
6 1
 
1.0%
(Missing) 82
79.6%
ValueCountFrequency (%)
0 6
5.8%
1 11
10.7%
2 1
 
1.0%
3 1
 
1.0%
5 1
 
1.0%
6 1
 
1.0%
ValueCountFrequency (%)
6 1
 
1.0%
5 1
 
1.0%
3 1
 
1.0%
2 1
 
1.0%
1 11
10.7%
0 6
5.8%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
88 
0
12 
1
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.5631068
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 88
85.4%
0 12
 
11.7%
1 2
 
1.9%
2 1
 
1.0%

Length

2024-05-11T15:01:47.166932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:47.333778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
85.4%
0 12
 
11.7%
1 2
 
1.9%
2 1
 
1.0%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
86 
근린생활시설
 
8
연립주택
 
6
기타
 
3

Length

Max length6
Median length4
Mean length4.0970874
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
83.5%
근린생활시설 8
 
7.8%
연립주택 6
 
5.8%
기타 3
 
2.9%

Length

2024-05-11T15:01:47.507545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:47.686810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
83.5%
근린생활시설 8
 
7.8%
연립주택 6
 
5.8%
기타 3
 
2.9%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
100 
0
 
3

Length

Max length4
Median length4
Mean length3.9126214
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 100
97.1%
0 3
 
2.9%

Length

2024-05-11T15:01:47.919688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:48.100353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
97.1%
0 3
 
2.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
100 
0
 
3

Length

Max length4
Median length4
Mean length3.9126214
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 100
97.1%
0 3
 
2.9%

Length

2024-05-11T15:01:48.414407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:48.575096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
97.1%
0 3
 
2.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
100 
0
 
3

Length

Max length4
Median length4
Mean length3.9126214
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 100
97.1%
0 3
 
2.9%

Length

2024-05-11T15:01:48.738861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:48.929144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
97.1%
0 3
 
2.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
100 
0
 
3

Length

Max length4
Median length4
Mean length3.9126214
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 100
97.1%
0 3
 
2.9%

Length

2024-05-11T15:01:49.132406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:49.396710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
97.1%
0 3
 
2.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
100 
0
 
3

Length

Max length4
Median length4
Mean length3.9126214
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 100
97.1%
0 3
 
2.9%

Length

2024-05-11T15:01:49.589052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:49.736932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
97.1%
0 3
 
2.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

지역구분명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing99
Missing (%)96.1%
Memory size956.0 B
2024-05-11T15:01:49.900890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.25
Min length4

Characters and Unicode

Total characters21
Distinct characters12
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

Unique4 ?
Unique (%)100.0%

Sample

1st row근린상업지역
2nd row준공업지역
3rd row일반주거지역
4th row상업지역
ValueCountFrequency (%)
근린상업지역 1
25.0%
준공업지역 1
25.0%
일반주거지역 1
25.0%
상업지역 1
25.0%
2024-05-11T15:01:50.384346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
19.0%
역 4
19.0%
업 3
14.3%
상 2
9.5%
근 1
 
4.8%
린 1
 
4.8%
준 1
 
4.8%
공 1
 
4.8%
일 1
 
4.8%
반 1
 
4.8%
Other values (2) 2
9.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
19.0%
역 4
19.0%
업 3
14.3%
상 2
9.5%
근 1
 
4.8%
린 1
 
4.8%
준 1
 
4.8%
공 1
 
4.8%
일 1
 
4.8%
반 1
 
4.8%
Other values (2) 2
9.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
19.0%
역 4
19.0%
업 3
14.3%
상 2
9.5%
근 1
 
4.8%
린 1
 
4.8%
준 1
 
4.8%
공 1
 
4.8%
일 1
 
4.8%
반 1
 
4.8%
Other values (2) 2
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
19.0%
역 4
19.0%
업 3
14.3%
상 2
9.5%
근 1
 
4.8%
린 1
 
4.8%
준 1
 
4.8%
공 1
 
4.8%
일 1
 
4.8%
반 1
 
4.8%
Other values (2) 2
9.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFG125200196800000119681031<NA>1영업/정상13영업중<NA><NA><NA><NA>862-5556<NA>152848서울특별시 구로구 구로동 ***-*번지<NA><NA>한국문원2003-04-18 15:20:43I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>3537.6<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13160000CDFG125200197400000119740904<NA>1영업/정상13영업중<NA><NA><NA><NA>857-2345<NA>152724서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 디지털로**길 ** (구로동)152724동광전산인쇄소2013-12-10 09:17:34I2018-08-31 23:59:59.0<NA>190676.946163442113.916062인쇄사출판인쇄업4<NA><NA>77.2220연립주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFG125200197500000119751121<NA>3폐업3폐업19871222<NA><NA><NA>863-3789<NA>152848서울특별시 구로구 구로동 ***-*번지<NA><NA>한국일보사2003-12-22 16:31:01I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>3465.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFG125200197900000119790117<NA>1영업/정상13영업중<NA><NA><NA><NA>863-2827<NA>152857서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 구로중앙로**길 ** (구로동)152857동아문화사2013-12-10 09:18:25I2018-08-31 23:59:59.0<NA>189960.885498443768.904263인쇄사출판인쇄업<NA><NA><NA>33.0<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>
43160000CDFG125200198000000119800305<NA>1영업/정상13영업중<NA><NA><NA><NA>862-8786<NA>152877서울특별시 구로구 구로동 ***-*번지서울특별시 구로구 구로동로 ** (구로동)152877유림인쇄사2013-12-10 09:19:23I2018-08-31 23:59:59.0<NA>189790.717255442665.546269인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53160000CDFG125200198000000219801008<NA>1영업/정상13영업중<NA><NA><NA><NA>867-8106<NA>152847서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 디지털로**길 ** (구로동)152847(재)한국우편사업지원단2015-05-07 13:21:48I2018-08-31 23:59:59.0<NA>190585.018452442796.127414인쇄사출판인쇄업3<NA><NA><NA><NA><NA>연립주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63160000CDFG125200198300000119830503<NA>3폐업3폐업20001121<NA><NA><NA>943-3994<NA>152858서울특별시 구로구 구로동 ***-*번지서울특별시 구로구 구로동로**길 ** (구로동)<NA>삼광사2003-04-18 15:20:43I2018-08-31 23:59:59.0<NA>189414.293129443772.204751인쇄사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000CDFG125200198300000219830731<NA>1영업/정상13영업중<NA><NA><NA><NA>850-0739,850-0800<NA>152848서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 디지털로**길 ** (구로동)152848삼화인쇄(주)2014-01-22 12:30:09I2018-08-31 23:59:59.0<NA>190350.599818442298.626951인쇄사출판인쇄업<NA><NA><NA>0.0<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>
83160000CDFG125200198300000319830530<NA>1영업/정상13영업중<NA><NA><NA><NA>2614-1920<NA>152831서울특별시 구로구 고척동 ***-*번지<NA><NA>(주)유성문화교역2003-04-18 15:20:43I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA>연립주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93160000CDFG125200198600000119860903<NA>1영업/정상13영업중<NA><NA><NA><NA>852-2347<NA>152775서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 디지털로**길 ** (구로동)152775주)현대칼라트론2013-12-10 09:22:42I2018-08-31 23:59:59.0<NA>190461.790473442368.090413인쇄사출판인쇄업1<NA><NA>824.010연립주택<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
933160000CDFG125200202100000320020228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 *** 신도림*차푸르지오서울특별시 구로구 경인로 ***, 신도림*차푸르지오 ***-****호 (신도림동)08208삼성인쇄(주)2021-11-19 10:34:27I2021-11-20 00:22:44.0<NA>190005.1325445250.538869인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
943160000CDFG125200202100000420211221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-883-2071<NA><NA>서울특별시 구로구 구로동 ***-* 삼성IT밸리서울특별시 구로구 디지털로**길 **, 삼성IT밸리 ****호 (구로동)08380(주)퍼즐랜드2021-12-21 10:32:12I2021-12-23 00:22:42.0<NA>190612.779366442662.421914인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
953160000CDFG125200202200000120220721<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6337-3713<NA><NA>서울특별시 구로구 구로동 ** 금호아파트서울특별시 구로구 공원로 **, ***-에이호 (구로동, 금호아파트)08297주식회사 삼십칠도그리고2022-07-21 10:08:11I2021-12-06 22:03:00.0<NA>190394.394227444191.966689<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963160000CDFG12520020220000022022-08-08<NA>3폐업3폐업2023-12-07<NA><NA><NA>02-838-7000<NA><NA>서울특별시 구로구 온수동 ***-*서울특별시 구로구 부일로***번길 **-**, *층 (온수동)08262에스엠프린텍 주식회사2023-12-07 16:19:12U2022-11-02 00:09:00.0<NA>183605.879396443561.596911<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
973160000CDFG125200202200000320220818<NA>1영업/정상13영업중<NA><NA><NA><NA>031-466-1000<NA><NA>서울특별시 구로구 온수동 ***-*서울특별시 구로구 부일로***번길 **-** (온수동)08262디엠코리아 주식회사2022-08-18 17:57:05I2021-12-07 22:00:00.0<NA>183605.879396443561.596911<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
983160000CDFG125200202200000420220823<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2695-0512<NA><NA>서울특별시 구로구 구로동 ***-** 대륭포스트타워*차서울특별시 구로구 디지털로**길 **, 대륭포스트타워*차 ***호 (구로동)08377(주)러닝앤코2022-08-23 13:31:24I2021-12-07 22:05:00.0<NA>190609.413675442782.030555<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
993160000CDFG125200202300000120230117<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2088-0574<NA><NA>서울특별시 구로구 구로동 ***-** 대륭포스트타워*차서울특별시 구로구 디지털로 ***, 대륭포스트타워*차 *층 ***호, ***호 (구로동)08378(주)트랜드북스2023-01-17 09:43:46I2022-11-30 23:09:00.0<NA>190845.231595442639.420821<NA><NA><NA><NA><NA><NA><NA><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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