Overview

Dataset statistics

Number of variables56
Number of observations30
Missing cells828
Missing cells (%)49.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory489.4 B

Variable types

Categorical17
Text9
DateTime4
Unsupported23
Numeric3

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-17858/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
통로너비 is highly imbalanced (64.7%)Imbalance
조명시설조도 is highly imbalanced (64.7%)Imbalance
노래방실수 is highly imbalanced (64.7%)Imbalance
청소년실수 is highly imbalanced (64.7%)Imbalance
총게임기수 is highly imbalanced (64.7%)Imbalance
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 23 (76.7%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 10 (33.3%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 27 (90.0%) missing valuesMissing
도로명주소 has 1 (3.3%) missing valuesMissing
도로명우편번호 has 1 (3.3%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
좌표정보(X) has 2 (6.7%) missing valuesMissing
좌표정보(Y) has 2 (6.7%) missing valuesMissing
주변환경명 has 26 (86.7%) missing valuesMissing
제작취급품목내용 has 30 (100.0%) missing valuesMissing
시설면적 has 20 (66.7%) missing valuesMissing
비상계단여부 has 30 (100.0%) missing valuesMissing
비상구여부 has 30 (100.0%) missing valuesMissing
자동환기여부 has 30 (100.0%) missing valuesMissing
청소년실여부 has 30 (100.0%) missing valuesMissing
특수조명여부 has 30 (100.0%) missing valuesMissing
방음시설여부 has 30 (100.0%) missing valuesMissing
비디오재생기명 has 30 (100.0%) missing valuesMissing
조명시설유무 has 30 (100.0%) missing valuesMissing
음향시설여부 has 30 (100.0%) missing valuesMissing
편의시설여부 has 30 (100.0%) missing valuesMissing
소방시설여부 has 30 (100.0%) missing valuesMissing
기존게임업외업종명 has 30 (100.0%) missing valuesMissing
제공게임물명 has 30 (100.0%) missing valuesMissing
공연장형태구분명 has 30 (100.0%) missing valuesMissing
품목명 has 30 (100.0%) missing valuesMissing
최초등록시점 has 30 (100.0%) missing valuesMissing
지역구분명 has 26 (86.7%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
시설면적 has 2 (6.7%) zerosZeros

Reproduction

Analysis started2024-04-06 11:10:34.959232
Analysis finished2024-04-06 11:10:36.233802
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3060000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 30
100.0%

Length

2024-04-06T20:10:36.341875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:36.493234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T20:10:36.780179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters600
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowCDFG1252002000000001
2nd rowCDFG1252002003000001
3rd rowCDFG1252002006000001
4th rowCDFG1252002007000001
5th rowCDFG1252002007000003
ValueCountFrequency (%)
cdfg1252002000000001 1
 
3.3%
cdfg1252002003000001 1
 
3.3%
cdfg1252002023000002 1
 
3.3%
cdfg1252002023000001 1
 
3.3%
cdfg1252002022000003 1
 
3.3%
cdfg1252002022000002 1
 
3.3%
cdfg1252002022000001 1
 
3.3%
cdfg1252002021000006 1
 
3.3%
cdfg1252002021000005 1
 
3.3%
cdfg1252002021000004 1
 
3.3%
Other values (20) 20
66.7%
2024-04-06T20:10:37.895386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 250
41.7%
2 112
18.7%
1 60
 
10.0%
5 33
 
5.5%
C 30
 
5.0%
D 30
 
5.0%
F 30
 
5.0%
G 30
 
5.0%
3 10
 
1.7%
7 5
 
0.8%
Other values (4) 10
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
80.0%
Uppercase Letter 120
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 250
52.1%
2 112
23.3%
1 60
 
12.5%
5 33
 
6.9%
3 10
 
2.1%
7 5
 
1.0%
9 5
 
1.0%
6 2
 
0.4%
4 2
 
0.4%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 30
25.0%
D 30
25.0%
F 30
25.0%
G 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
80.0%
Latin 120
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 250
52.1%
2 112
23.3%
1 60
 
12.5%
5 33
 
6.9%
3 10
 
2.1%
7 5
 
1.0%
9 5
 
1.0%
6 2
 
0.4%
4 2
 
0.4%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
C 30
25.0%
D 30
25.0%
F 30
25.0%
G 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 250
41.7%
2 112
18.7%
1 60
 
10.0%
5 33
 
5.5%
C 30
 
5.0%
D 30
 
5.0%
F 30
 
5.0%
G 30
 
5.0%
3 10
 
1.7%
7 5
 
0.8%
Other values (4) 10
 
1.7%

인허가일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2000-11-06 00:00:00
Maximum2023-04-26 00:00:00
2024-04-06T20:10:38.247167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:38.574959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
23 
3
6 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
76.7%
3 6
 
20.0%
5 1
 
3.3%

Length

2024-04-06T20:10:38.929133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:39.185725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
76.7%
3 6
 
20.0%
5 1
 
3.3%

영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
23 
폐업
6 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.5
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 23
76.7%
폐업 6
 
20.0%
제외/삭제/전출 1
 
3.3%

Length

2024-04-06T20:10:39.470753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:39.709852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 23
76.7%
폐업 6
 
20.0%
제외/삭제/전출 1
 
3.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
13
23 
3
6 
15
 
1

Length

Max length2
Median length2
Mean length1.8
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 23
76.7%
3 6
 
20.0%
15 1
 
3.3%

Length

2024-04-06T20:10:39.985864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:40.268736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 23
76.7%
3 6
 
20.0%
15 1
 
3.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업중
23 
폐업
6 
전출
 
1

Length

Max length3
Median length3
Mean length2.7666667
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 23
76.7%
폐업 6
 
20.0%
전출 1
 
3.3%

Length

2024-04-06T20:10:40.581048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:40.849852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 23
76.7%
폐업 6
 
20.0%
전출 1
 
3.3%

폐업일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Memory size372.0 B
Minimum2007-11-06 00:00:00
Maximum2023-10-30 00:00:00
2024-04-06T20:10:41.091402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:41.399939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing10
Missing (%)33.3%
Memory size372.0 B
2024-04-06T20:10:41.795225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.9
Min length8

Characters and Unicode

Total characters218
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

Unique18 ?
Unique (%)90.0%

Sample

1st row437-8691
2nd row433-4761
3rd row02-432-8023
4th row02-492-0109
5th row437-8691
ValueCountFrequency (%)
437-8691 2
 
10.0%
02-495-7481 1
 
5.0%
02-3422-5612 1
 
5.0%
02-304-9121 1
 
5.0%
02-6213-2777 1
 
5.0%
02-6975-4545 1
 
5.0%
02-6013-3057 1
 
5.0%
02-2209-2060 1
 
5.0%
02-1544-0725 1
 
5.0%
02-704-227 1
 
5.0%
Other values (9) 9
45.0%
2024-04-06T20:10:42.606265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 38
17.4%
- 36
16.5%
0 35
16.1%
4 20
9.2%
1 18
8.3%
7 15
 
6.9%
3 14
 
6.4%
9 14
 
6.4%
6 12
 
5.5%
5 11
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
83.5%
Dash Punctuation 36
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 38
20.9%
0 35
19.2%
4 20
11.0%
1 18
9.9%
7 15
 
8.2%
3 14
 
7.7%
9 14
 
7.7%
6 12
 
6.6%
5 11
 
6.0%
8 5
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 218
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 38
17.4%
- 36
16.5%
0 35
16.1%
4 20
9.2%
1 18
8.3%
7 15
 
6.9%
3 14
 
6.4%
9 14
 
6.4%
6 12
 
5.5%
5 11
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 38
17.4%
- 36
16.5%
0 35
16.1%
4 20
9.2%
1 18
8.3%
7 15
 
6.9%
3 14
 
6.4%
9 14
 
6.4%
6 12
 
5.5%
5 11
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing27
Missing (%)90.0%
Memory size372.0 B
2024-04-06T20:10:42.924206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3333333
Min length6

Characters and Unicode

Total characters19
Distinct characters8
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

Unique3 ?
Unique (%)100.0%

Sample

1st row131803
2nd row131827
3rd row131-875
ValueCountFrequency (%)
131803 1
33.3%
131827 1
33.3%
131-875 1
33.3%
2024-04-06T20:10:43.560990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
31.6%
3 4
21.1%
8 3
15.8%
7 2
 
10.5%
0 1
 
5.3%
2 1
 
5.3%
- 1
 
5.3%
5 1
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18
94.7%
Dash Punctuation 1
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
33.3%
3 4
22.2%
8 3
16.7%
7 2
 
11.1%
0 1
 
5.6%
2 1
 
5.6%
5 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
31.6%
3 4
21.1%
8 3
15.8%
7 2
 
10.5%
0 1
 
5.3%
2 1
 
5.3%
- 1
 
5.3%
5 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
31.6%
3 4
21.1%
8 3
15.8%
7 2
 
10.5%
0 1
 
5.3%
2 1
 
5.3%
- 1
 
5.3%
5 1
 
5.3%

지번주소
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T20:10:43.958644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30.5
Mean length24.633333
Min length19

Characters and Unicode

Total characters739
Distinct characters70
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

Unique27 ?
Unique (%)90.0%

Sample

1st row서울특별시 중랑구 망우동 ***-**번지
2nd row서울특별시 중랑구 상봉동 ***-**번지
3rd row서울특별시 중랑구 중화동 ***-**번지
4th row서울특별시 중랑구 면목동 ***-**번지
5th row서울특별시 중랑구 망우동 ***-**번지 *층
ValueCountFrequency (%)
서울특별시 30
20.4%
중랑구 30
20.4%
19
12.9%
번지 11
 
7.5%
상봉동 8
 
5.4%
면목동 6
 
4.1%
호 5
 
3.4%
신내동 5
 
3.4%
망우동 5
 
3.4%
중화동 4
 
2.7%
Other values (19) 24
16.3%
2024-04-06T20:10:44.752936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 150
20.3%
129
17.5%
중 34
 
4.6%
별 31
 
4.2%
시 31
 
4.2%
동 31
 
4.2%
구 30
 
4.1%
울 30
 
4.1%
서 30
 
4.1%
랑 30
 
4.1%
Other values (60) 213
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
56.7%
Other Punctuation 150
 
20.3%
Space Separator 129
 
17.5%
Dash Punctuation 29
 
3.9%
Lowercase Letter 6
 
0.8%
Uppercase Letter 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 34
 
8.1%
별 31
 
7.4%
시 31
 
7.4%
동 31
 
7.4%
구 30
 
7.2%
울 30
 
7.2%
서 30
 
7.2%
랑 30
 
7.2%
특 30
 
7.2%
지 12
 
2.9%
Other values (46) 130
31.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
16.7%
V 1
16.7%
L 1
16.7%
G 1
16.7%
K 1
16.7%
B 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 150
100.0%
Space Separator
ValueCountFrequency (%)
129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
56.7%
Common 308
41.7%
Latin 12
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 34
 
8.1%
별 31
 
7.4%
시 31
 
7.4%
동 31
 
7.4%
구 30
 
7.2%
울 30
 
7.2%
서 30
 
7.2%
랑 30
 
7.2%
특 30
 
7.2%
지 12
 
2.9%
Other values (46) 130
31.0%
Latin
ValueCountFrequency (%)
e 2
16.7%
S 1
8.3%
V 1
8.3%
c 1
8.3%
n 1
8.3%
t 1
8.3%
r 1
8.3%
L 1
8.3%
G 1
8.3%
K 1
8.3%
Common
ValueCountFrequency (%)
* 150
48.7%
129
41.9%
- 29
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
56.7%
ASCII 320
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 150
46.9%
129
40.3%
- 29
 
9.1%
e 2
 
0.6%
S 1
 
0.3%
V 1
 
0.3%
c 1
 
0.3%
n 1
 
0.3%
t 1
 
0.3%
r 1
 
0.3%
Other values (4) 4
 
1.2%
Hangul
ValueCountFrequency (%)
중 34
 
8.1%
별 31
 
7.4%
시 31
 
7.4%
동 31
 
7.4%
구 30
 
7.2%
울 30
 
7.2%
서 30
 
7.2%
랑 30
 
7.2%
특 30
 
7.2%
지 12
 
2.9%
Other values (46) 130
31.0%

도로명주소
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1
Missing (%)3.3%
Memory size372.0 B
2024-04-06T20:10:45.251175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length38
Mean length33.551724
Min length23

Characters and Unicode

Total characters973
Distinct characters90
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

Unique29 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 봉우재로**길 ** (상봉동)
2nd row서울특별시 중랑구 봉화산로*길 **, *층 (중화동)
3rd row서울특별시 중랑구 봉우재로**길 ** (면목동)
4th row서울특별시 중랑구 망우로 *** (망우동)
5th row서울특별시 중랑구 사가정로**길 ** (면목동)
ValueCountFrequency (%)
서울특별시 29
15.1%
중랑구 29
15.1%
29
15.1%
층 11
 
5.7%
호 9
 
4.7%
상봉동 8
 
4.2%
면목동 6
 
3.1%
신내동 5
 
2.6%
망우로 5
 
2.6%
중화동 4
 
2.1%
Other values (41) 57
29.7%
2024-04-06T20:10:46.035342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
163
 
16.8%
* 158
 
16.2%
동 34
 
3.5%
중 33
 
3.4%
시 31
 
3.2%
별 30
 
3.1%
서 29
 
3.0%
울 29
 
3.0%
( 29
 
3.0%
로 29
 
3.0%
Other values (80) 408
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 545
56.0%
Other Punctuation 183
 
18.8%
Space Separator 163
 
16.8%
Open Punctuation 29
 
3.0%
Close Punctuation 29
 
3.0%
Dash Punctuation 9
 
0.9%
Uppercase Letter 9
 
0.9%
Lowercase Letter 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
 
6.2%
중 33
 
6.1%
시 31
 
5.7%
별 30
 
5.5%
서 29
 
5.3%
울 29
 
5.3%
로 29
 
5.3%
구 29
 
5.3%
랑 29
 
5.3%
특 29
 
5.3%
Other values (61) 243
44.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
22.2%
V 1
11.1%
S 1
11.1%
L 1
11.1%
G 1
11.1%
K 1
11.1%
O 1
11.1%
A 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 158
86.3%
, 25
 
13.7%
Space Separator
ValueCountFrequency (%)
163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
56.0%
Common 413
42.4%
Latin 15
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
 
6.2%
중 33
 
6.1%
시 31
 
5.7%
별 30
 
5.5%
서 29
 
5.3%
울 29
 
5.3%
로 29
 
5.3%
구 29
 
5.3%
랑 29
 
5.3%
특 29
 
5.3%
Other values (61) 243
44.6%
Latin
ValueCountFrequency (%)
B 2
13.3%
e 2
13.3%
V 1
 
6.7%
c 1
 
6.7%
n 1
 
6.7%
t 1
 
6.7%
r 1
 
6.7%
S 1
 
6.7%
L 1
 
6.7%
G 1
 
6.7%
Other values (3) 3
20.0%
Common
ValueCountFrequency (%)
163
39.5%
* 158
38.3%
( 29
 
7.0%
) 29
 
7.0%
, 25
 
6.1%
- 9
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 545
56.0%
ASCII 428
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
163
38.1%
* 158
36.9%
( 29
 
6.8%
) 29
 
6.8%
, 25
 
5.8%
- 9
 
2.1%
B 2
 
0.5%
e 2
 
0.5%
V 1
 
0.2%
c 1
 
0.2%
Other values (9) 9
 
2.1%
Hangul
ValueCountFrequency (%)
동 34
 
6.2%
중 33
 
6.1%
시 31
 
5.7%
별 30
 
5.5%
서 29
 
5.3%
울 29
 
5.3%
로 29
 
5.3%
구 29
 
5.3%
랑 29
 
5.3%
특 29
 
5.3%
Other values (61) 243
44.6%

도로명우편번호
Text

MISSING 

Distinct25
Distinct (%)86.2%
Missing1
Missing (%)3.3%
Memory size372.0 B
2024-04-06T20:10:46.351235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1034483
Min length5

Characters and Unicode

Total characters148
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 (%)72.4%

Sample

1st row02136
2nd row02104
3rd row02144
4th row02059
5th row131827
ValueCountFrequency (%)
02118 2
 
6.9%
02055 2
 
6.9%
02262 2
 
6.9%
02048 2
 
6.9%
02136 1
 
3.4%
02090 1
 
3.4%
02237 1
 
3.4%
02245 1
 
3.4%
02006 1
 
3.4%
02149 1
 
3.4%
Other values (15) 15
51.7%
2024-04-06T20:10:47.016283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43
29.1%
2 36
24.3%
1 18
12.2%
8 10
 
6.8%
4 9
 
6.1%
5 8
 
5.4%
6 8
 
5.4%
3 7
 
4.7%
9 4
 
2.7%
7 4
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 147
99.3%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
29.3%
2 36
24.5%
1 18
12.2%
8 10
 
6.8%
4 9
 
6.1%
5 8
 
5.4%
6 8
 
5.4%
3 7
 
4.8%
9 4
 
2.7%
7 4
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 148
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43
29.1%
2 36
24.3%
1 18
12.2%
8 10
 
6.8%
4 9
 
6.1%
5 8
 
5.4%
6 8
 
5.4%
3 7
 
4.7%
9 4
 
2.7%
7 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43
29.1%
2 36
24.3%
1 18
12.2%
8 10
 
6.8%
4 9
 
6.1%
5 8
 
5.4%
6 8
 
5.4%
3 7
 
4.7%
9 4
 
2.7%
7 4
 
2.7%

사업장명
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T20:10:47.327421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length5.8333333
Min length2

Characters and Unicode

Total characters175
Distinct characters92
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row금란문화사
2nd row원화프린팅
3rd row중랑프린팅
4th row백구인쇄
5th row금란문화사
ValueCountFrequency (%)
주식회사 4
 
11.1%
금란문화사 2
 
5.6%
중랑프린팅 1
 
2.8%
백구인쇄 1
 
2.8%
더원 1
 
2.8%
씨제이홀딩스 1
 
2.8%
아람피앤디 1
 
2.8%
새론앞길 1
 
2.8%
사인스토리 1
 
2.8%
현기획 1
 
2.8%
Other values (22) 22
61.1%
2024-04-06T20:10:47.916768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 10
 
5.7%
사 8
 
4.6%
6
 
3.4%
( 5
 
2.9%
이 5
 
2.9%
스 5
 
2.9%
) 5
 
2.9%
인 4
 
2.3%
회 4
 
2.3%
식 4
 
2.3%
Other values (82) 119
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
90.9%
Space Separator 6
 
3.4%
Open Punctuation 5
 
2.9%
Close Punctuation 5
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
6.3%
사 8
 
5.0%
이 5
 
3.1%
스 5
 
3.1%
인 4
 
2.5%
회 4
 
2.5%
식 4
 
2.5%
원 4
 
2.5%
화 4
 
2.5%
피 3
 
1.9%
Other values (79) 108
67.9%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
90.9%
Common 16
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
6.3%
사 8
 
5.0%
이 5
 
3.1%
스 5
 
3.1%
인 4
 
2.5%
회 4
 
2.5%
식 4
 
2.5%
원 4
 
2.5%
화 4
 
2.5%
피 3
 
1.9%
Other values (79) 108
67.9%
Common
ValueCountFrequency (%)
6
37.5%
( 5
31.2%
) 5
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
90.9%
ASCII 16
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 10
 
6.3%
사 8
 
5.0%
이 5
 
3.1%
스 5
 
3.1%
인 4
 
2.5%
회 4
 
2.5%
식 4
 
2.5%
원 4
 
2.5%
화 4
 
2.5%
피 3
 
1.9%
Other values (79) 108
67.9%
ASCII
ValueCountFrequency (%)
6
37.5%
( 5
31.2%
) 5
31.2%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2007-11-06 16:36:17
Maximum2024-01-25 09:51:49
2024-04-06T20:10:48.144415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:48.350481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
I
18 
U
12 

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 18
60.0%
U 12
40.0%

Length

2024-04-06T20:10:48.572403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:48.786076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
60.0%
u 12
40.0%

데이터갱신일자
Date

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 22:07:00
2024-04-06T20:10:48.974421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:49.209540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean207722.72
Minimum206260.39
Maximum209350.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T20:10:49.384474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206260.39
5-th percentile206382.71
Q1207097.84
median207481.35
Q3208593.1
95-th percentile209085.93
Maximum209350.46
Range3090.0623
Interquartile range (IQR)1495.2636

Descriptive statistics

Standard deviation896.99945
Coefficient of variation (CV)0.0043182539
Kurtosis-0.91500957
Mean207722.72
Median Absolute Deviation (MAD)460.74813
Skewness0.3122668
Sum5816236.3
Variance804608.01
MonotonicityNot monotonic
2024-04-06T20:10:49.591587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
208885.083281145 2
 
6.7%
206260.394582177 2
 
6.7%
209085.926142332 2
 
6.7%
207302.675706598 1
 
3.3%
207661.4483404 1
 
3.3%
207982.810825453 1
 
3.3%
207422.618058106 1
 
3.3%
207103.963509972 1
 
3.3%
206758.410389697 1
 
3.3%
207813.470701116 1
 
3.3%
Other values (15) 15
50.0%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
206260.394582177 2
6.7%
206609.862409537 1
3.3%
206758.410389697 1
3.3%
206843.745868701 1
3.3%
207061.314557308 1
3.3%
207079.473131064 1
3.3%
207103.963509972 1
3.3%
207137.085980071 1
3.3%
207302.675706598 1
3.3%
207422.618058106 1
3.3%
ValueCountFrequency (%)
209350.456833693 1
3.3%
209085.926142332 2
6.7%
208978.960878314 1
3.3%
208885.083281145 2
6.7%
208692.777244976 1
3.3%
208559.88021295 1
3.3%
207982.810825453 1
3.3%
207876.880750126 1
3.3%
207813.470701116 1
3.3%
207681.1842276 1
3.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean455012.61
Minimum452426.99
Maximum457283.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T20:10:49.776535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452426.99
5-th percentile452986.67
Q1454401.8
median455102.59
Q3455690.89
95-th percentile457149.1
Maximum457283.22
Range4856.2289
Interquartile range (IQR)1289.0897

Descriptive statistics

Standard deviation1221.7585
Coefficient of variation (CV)0.0026851091
Kurtosis-0.044578246
Mean455012.61
Median Absolute Deviation (MAD)695.02271
Skewness-0.10706293
Sum12740353
Variance1492693.8
MonotonicityNot monotonic
2024-04-06T20:10:49.956623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
455339.822177182 2
 
6.7%
454407.56632192 2
 
6.7%
457283.215342184 2
 
6.7%
452949.154998231 1
 
3.3%
455671.574410523 1
 
3.3%
454980.023827024 1
 
3.3%
453056.343366219 1
 
3.3%
452426.986416531 1
 
3.3%
456472.216329929 1
 
3.3%
454974.963196765 1
 
3.3%
Other values (15) 15
50.0%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
452426.986416531 1
3.3%
452949.154998231 1
3.3%
453056.343366219 1
3.3%
453344.840019955 1
3.3%
453920.187687716 1
3.3%
454317.630016915 1
3.3%
454384.514270393 1
3.3%
454407.56632192 2
6.7%
454559.965249431 1
3.3%
454612.010523896 1
3.3%
ValueCountFrequency (%)
457283.215342184 2
6.7%
456900.039089933 1
3.3%
456472.216329929 1
3.3%
456031.895872785 1
3.3%
455814.484896034 1
3.3%
455748.848749807 1
3.3%
455671.574410523 1
3.3%
455554.325520768 1
3.3%
455434.540442115 1
3.3%
455339.822177182 2
6.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
인쇄사
17 
<NA>
13 

Length

Max length4
Median length3
Mean length3.4333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 17
56.7%
<NA> 13
43.3%

Length

2024-04-06T20:10:50.182899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:50.402840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 17
56.7%
na 13
43.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
출판인쇄업
17 
<NA>
13 

Length

Max length5
Median length5
Mean length4.5666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 17
56.7%
<NA> 13
43.3%

Length

2024-04-06T20:10:50.591050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:50.919853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 17
56.7%
na 13
43.3%

총층수
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
23 
5
3 
0
 
2
6
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.3
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row5
3rd row<NA>
4th row5
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
76.7%
5 3
 
10.0%
0 2
 
6.7%
6 1
 
3.3%
2 1
 
3.3%

Length

2024-04-06T20:10:51.117034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:51.303279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
76.7%
5 3
 
10.0%
0 2
 
6.7%
6 1
 
3.3%
2 1
 
3.3%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing26
Missing (%)86.7%
Memory size372.0 B
2024-04-06T20:10:51.474684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.75
Min length2

Characters and Unicode

Total characters11
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 (%)25.0%

Sample

1st row기타
2nd row주택가주변
3rd row기타
4th row기타
ValueCountFrequency (%)
기타 3
75.0%
주택가주변 1
 
25.0%
2024-04-06T20:10:51.990003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3
27.3%
타 3
27.3%
주 2
18.2%
택 1
 
9.1%
가 1
 
9.1%
변 1
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
27.3%
타 3
27.3%
주 2
18.2%
택 1
 
9.1%
가 1
 
9.1%
변 1
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
27.3%
타 3
27.3%
주 2
18.2%
택 1
 
9.1%
가 1
 
9.1%
변 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3
27.3%
타 3
27.3%
주 2
18.2%
택 1
 
9.1%
가 1
 
9.1%
변 1
 
9.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)90.0%
Missing20
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean100.492
Minimum0
Maximum279.3
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T20:10:52.191576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122.2675
median70.505
Q3173.385
95-th percentile261.615
Maximum279.3
Range279.3
Interquartile range (IQR)151.1175

Descriptive statistics

Standard deviation102.6673
Coefficient of variation (CV)1.0216465
Kurtosis-0.86624793
Mean100.492
Median Absolute Deviation (MAD)60.005
Skewness0.81560689
Sum1004.92
Variance10540.574
MonotonicityNot monotonic
2024-04-06T20:10:52.360765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 2
 
6.7%
76.35 1
 
3.3%
99.54 1
 
3.3%
64.66 1
 
3.3%
279.3 1
 
3.3%
26.07 1
 
3.3%
21.0 1
 
3.3%
240.0 1
 
3.3%
198.0 1
 
3.3%
(Missing) 20
66.7%
ValueCountFrequency (%)
0.0 2
6.7%
21.0 1
3.3%
26.07 1
3.3%
64.66 1
3.3%
76.35 1
3.3%
99.54 1
3.3%
198.0 1
3.3%
240.0 1
3.3%
279.3 1
3.3%
ValueCountFrequency (%)
279.3 1
3.3%
240.0 1
3.3%
198.0 1
3.3%
99.54 1
3.3%
76.35 1
3.3%
64.66 1
3.3%
26.07 1
3.3%
21.0 1
3.3%
0.0 2
6.7%

지상층수
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
21 
4
3 
1
 
2
0
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row4
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
70.0%
4 3
 
10.0%
1 2
 
6.7%
0 2
 
6.7%
5 1
 
3.3%
2 1
 
3.3%

Length

2024-04-06T20:10:52.537515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:52.710016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
70.0%
4 3
 
10.0%
1 2
 
6.7%
0 2
 
6.7%
5 1
 
3.3%
2 1
 
3.3%

지하층수
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
24 
1
4 
0
 
2

Length

Max length4
Median length4
Mean length3.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
80.0%
1 4
 
13.3%
0 2
 
6.7%

Length

2024-04-06T20:10:52.930704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:53.100246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
80.0%
1 4
 
13.3%
0 2
 
6.7%

건물용도명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
25 
근린생활시설
3 
사무실
 
2

Length

Max length6
Median length4
Mean length4.1333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
83.3%
근린생활시설 3
 
10.0%
사무실 2
 
6.7%

Length

2024-04-06T20:10:53.371860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:53.611310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
83.3%
근린생활시설 3
 
10.0%
사무실 2
 
6.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-04-06T20:10:53.798738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:53.984930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-04-06T20:10:54.161349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:54.352515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-04-06T20:10:54.551940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:54.726351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-04-06T20:10:54.897331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:55.484349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-04-06T20:10:55.679325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:55.847526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing26
Missing (%)86.7%
Memory size372.0 B
2024-04-06T20:10:56.009522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters22
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row일반주거지역
2nd row일반주거지역
3rd row주거지역
4th row근린상업지역
ValueCountFrequency (%)
일반주거지역 2
50.0%
주거지역 1
25.0%
근린상업지역 1
25.0%
2024-04-06T20:10:56.443323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
주 3
13.6%
거 3
13.6%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%
상 1
 
4.5%
업 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
주 3
13.6%
거 3
13.6%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%
상 1
 
4.5%
업 1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
주 3
13.6%
거 3
13.6%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%
상 1
 
4.5%
업 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
주 3
13.6%
거 3
13.6%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%
상 1
 
4.5%
업 1
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03060000CDFG125200200000000120001106<NA>3폐업3폐업20071106<NA><NA><NA>437-8691<NA>131803서울특별시 중랑구 망우동 ***-**번지<NA><NA>금란문화사2007-11-06 16:36:17I2018-08-31 23:59:59.0<NA>208885.083281455339.822177인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13060000CDFG125200200300000120031120<NA>1영업/정상13영업중<NA><NA><NA><NA>433-4761<NA><NA>서울특별시 중랑구 상봉동 ***-**번지서울특별시 중랑구 봉우재로**길 ** (상봉동)02136원화프린팅2016-01-26 12:08:48I2018-08-31 23:59:59.0<NA>207079.473131454612.010524인쇄사출판인쇄업5<NA><NA><NA>1<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23060000CDFG125200200600000120060920<NA>1영업/정상13영업중<NA><NA><NA><NA>02-432-8023<NA><NA>서울특별시 중랑구 중화동 ***-**번지서울특별시 중랑구 봉화산로*길 **, *층 (중화동)02104중랑프린팅2018-08-23 17:23:49I2018-08-31 23:59:59.0<NA>206609.86241455225.154235인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33060000CDFG125200200700000120070207<NA>1영업/정상13영업중<NA><NA><NA><NA>02-492-0109<NA><NA>서울특별시 중랑구 면목동 ***-**번지서울특별시 중랑구 봉우재로**길 ** (면목동)02144백구인쇄2016-01-26 12:11:34I2018-08-31 23:59:59.0<NA>207482.511206454384.51427인쇄사출판인쇄업5기타<NA>76.3541<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
43060000CDFG125200200700000320071107<NA>1영업/정상13영업중<NA><NA><NA><NA>437-8691<NA><NA>서울특별시 중랑구 망우동 ***-**번지 *층서울특별시 중랑구 망우로 *** (망우동)02059금란문화사2016-01-26 12:13:12I2018-08-31 23:59:59.0<NA>208885.083281455339.822177인쇄사출판인쇄업<NA><NA><NA><NA><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>
53060000CDFG125200200900000120090122<NA>3폐업3폐업20121024<NA><NA><NA><NA><NA>131827서울특별시 중랑구 면목동 ***-**번지서울특별시 중랑구 사가정로**길 ** (면목동)131827영신시스템2012-12-05 09:42:41I2018-08-31 23:59:59.0<NA>207302.675707452949.154998인쇄사출판인쇄업5주택가주변<NA>99.5441근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
63060000CDFG125200200900000220090323<NA>3폐업3폐업20181126<NA><NA><NA>2256-3400<NA><NA>서울특별시 중랑구 상봉동 ***-*번지 대화빌딩 ***호서울특별시 중랑구 봉화산로 *** (상봉동, 대화빌딩)02048이수기획2018-11-26 15:44:38U2019-05-10 02:40:00.0<NA>207661.44834455671.574411인쇄사출판인쇄업6기타<NA>64.6651사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
73060000CDFG12520020100000012010-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-439-9593<NA>131-875서울특별시 중랑구 중화동 ***-**서울특별시 중랑구 동일로***길 **-** (중화동)131-875조은세상2023-02-20 10:12:19U2022-12-01 22:02:00.0<NA>207061.314557455814.484896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83060000CDFG125200201300000120131028<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 ***-*서울특별시 중랑구 용마산로 ***, 김스애드 (망우동)02183(주)김스애드2022-03-31 17:13:50U2021-12-04 00:02:00.0<NA>208692.777245454559.965249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93060000CDFG125200201500000120151215<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8271-2110<NA><NA>서울특별시 중랑구 망우동 ***-*번지 ***호서울특별시 중랑구 용마공원로 **-*, *층 *호 (망우동)02186진원2019-08-19 18:54:44U2019-08-21 02:40:00.0<NA>208978.960878454317.630017인쇄사출판인쇄업<NA><NA><NA>279.3<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
203060000CDFG125200202100000320210308<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2209-2060<NA><NA>서울특별시 중랑구 상봉동 ***-** 빌리브 ***호서울특별시 중랑구 면목로**길 **-**, *층 *호 (상봉동, 빌리브)02138이화미디어플러스2021-03-08 13:00:52I2021-03-10 00:23:00.0<NA>207468.517757454655.565616인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213060000CDFG12520020210000042021-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 ***-* 신내 데시앙플렉스 지식산업센터서울특별시 중랑구 신내역로*길 **-**, 신내 데시앙플렉스 지식산업센터 A동 ***호 (신내동)02055주식회사 지안 네이처2023-08-07 13:26:35U2022-12-08 00:09:00.0<NA>209085.926142457283.215342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223060000CDFG125200202100000520210813<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 **-*서울특별시 중랑구 망우로 ***, *층 (상봉동)02149바람길2021-08-13 14:21:21I2021-08-15 00:23:01.0<NA>207813.470701454974.963197인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
233060000CDFG125200202100000620120820<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6013-3057<NA><NA>서울특별시 중랑구 신내동 ***-* B동 ***호서울특별시 중랑구 신내역로 ***, B동 ***호 (신내동)02262현기획2021-10-26 14:47:29I2021-10-28 00:22:56.0<NA><NA><NA>인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
243060000CDFG125200202200000120220408<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6975-4545<NA><NA>서울특별시 중랑구 신내동 ***-*서울특별시 중랑구 신내역로*길 **-**, 신내데시앙플렉스 *층 B-O***호 (신내동)02055사인스토리2022-04-08 11:19:03I2021-12-03 23:02:00.0<NA>209085.926142457283.215342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253060000CDFG125200202200000220220418<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6213-2777<NA><NA>서울특별시 중랑구 신내동 ***-* 신내 SK V* center서울특별시 중랑구 신내역로 ***, 신내 SK V* center ****호 (신내동)02262새론앞길2022-07-22 14:12:35U2021-12-06 22:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263060000CDFG125200202200000320220917<NA>1영업/정상13영업중<NA><NA><NA><NA>02-304-9121<NA><NA>서울특별시 중랑구 묵동 ***-** 블루포스서울특별시 중랑구 동일로 ***, 블루포스 ***호 (묵동)02006아람피앤디2022-09-17 11:48:09I2021-12-08 23:09:00.0<NA>206758.41039456472.21633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273060000CDFG125200202300000120230116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-*서울특별시 중랑구 면목로**길 **, 지하*층 (면목동)02245주식회사 씨제이홀딩스2023-01-16 17:37:13I2022-11-30 23:08:00.0<NA>207103.96351452426.986417<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283060000CDFG12520020230000022023-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1661-9009<NA><NA>서울특별시 중랑구 면목동 ***-* LG화학서울특별시 중랑구 사가정로**길 **-*, LG화학 지층 (면목동)02237더원2023-03-21 21:03:18I2022-12-02 22:03:00.0<NA>207422.618058453056.343366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293060000CDFG12520020230000032023-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 **-* 한일써너스빌서울특별시 중랑구 망우로 ***, 한일써너스빌 지하*층 ***호 (상봉동, 한일써너스빌)02150현소프트2023-04-26 17:53:09I2022-12-03 22:08:00.0<NA>207982.810825454980.023827<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>