Overview

Dataset statistics

Number of variables56
Number of observations87
Missing cells2462
Missing cells (%)50.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.3 KiB
Average record size in memory486.5 B

Variable types

Categorical17
Text10
DateTime4
Unsupported23
Numeric2

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17875/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 has constant value ""Constant
총층수 is highly imbalanced (59.6%)Imbalance
시설면적 is highly imbalanced (64.1%)Imbalance
지상층수 is highly imbalanced (59.6%)Imbalance
지하층수 is highly imbalanced (59.6%)Imbalance
통로너비 is highly imbalanced (84.2%)Imbalance
조명시설조도 is highly imbalanced (84.2%)Imbalance
노래방실수 is highly imbalanced (84.2%)Imbalance
청소년실수 is highly imbalanced (84.2%)Imbalance
총게임기수 is highly imbalanced (84.2%)Imbalance
인허가취소일자 has 87 (100.0%) missing valuesMissing
폐업일자 has 72 (82.8%) missing valuesMissing
휴업시작일자 has 87 (100.0%) missing valuesMissing
휴업종료일자 has 87 (100.0%) missing valuesMissing
재개업일자 has 87 (100.0%) missing valuesMissing
전화번호 has 32 (36.8%) missing valuesMissing
소재지면적 has 87 (100.0%) missing valuesMissing
소재지우편번호 has 52 (59.8%) missing valuesMissing
지번주소 has 1 (1.1%) missing valuesMissing
도로명주소 has 1 (1.1%) missing valuesMissing
도로명우편번호 has 22 (25.3%) missing valuesMissing
업태구분명 has 87 (100.0%) missing valuesMissing
좌표정보(X) has 12 (13.8%) missing valuesMissing
좌표정보(Y) has 12 (13.8%) missing valuesMissing
주변환경명 has 86 (98.9%) missing valuesMissing
제작취급품목내용 has 87 (100.0%) missing valuesMissing
건물용도명 has 85 (97.7%) missing valuesMissing
비상계단여부 has 87 (100.0%) missing valuesMissing
비상구여부 has 87 (100.0%) missing valuesMissing
자동환기여부 has 87 (100.0%) missing valuesMissing
청소년실여부 has 87 (100.0%) missing valuesMissing
특수조명여부 has 87 (100.0%) missing valuesMissing
방음시설여부 has 87 (100.0%) missing valuesMissing
비디오재생기명 has 87 (100.0%) missing valuesMissing
조명시설유무 has 87 (100.0%) missing valuesMissing
음향시설여부 has 87 (100.0%) missing valuesMissing
편의시설여부 has 87 (100.0%) missing valuesMissing
소방시설여부 has 87 (100.0%) missing valuesMissing
기존게임업외업종명 has 87 (100.0%) missing valuesMissing
제공게임물명 has 87 (100.0%) missing valuesMissing
공연장형태구분명 has 87 (100.0%) missing valuesMissing
품목명 has 87 (100.0%) missing valuesMissing
최초등록시점 has 87 (100.0%) missing valuesMissing
지역구분명 has 86 (98.9%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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

Reproduction

Analysis started2024-05-11 01:15:13.826236
Analysis finished2024-05-11 01:15:15.882608
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
3230000
87 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 87
100.0%

Length

2024-05-11T01:15:16.126565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:16.481964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 87
100.0%

관리번호
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T01:15:17.111646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1740
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

Unique87 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001994000001
2nd rowCDFG1252001998000001
3rd rowCDFG1252001998000002
4th rowCDFG1252001999000002
5th rowCDFG1252001999000003
ValueCountFrequency (%)
cdfg1252001994000001 1
 
1.1%
cdfg1252002020000001 1
 
1.1%
cdfg1252002019000005 1
 
1.1%
cdfg1252002019000004 1
 
1.1%
cdfg1252002019000003 1
 
1.1%
cdfg1252002019000001 1
 
1.1%
cdfg1252002018000007 1
 
1.1%
cdfg1252002018000006 1
 
1.1%
cdfg1252002018000004 1
 
1.1%
cdfg1252002018000003 1
 
1.1%
Other values (77) 77
88.5%
2024-05-11T01:15:18.525710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 715
41.1%
2 300
17.2%
1 173
 
9.9%
5 102
 
5.9%
C 87
 
5.0%
D 87
 
5.0%
F 87
 
5.0%
G 87
 
5.0%
4 24
 
1.4%
9 20
 
1.1%
Other values (4) 58
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1392
80.0%
Uppercase Letter 348
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 715
51.4%
2 300
21.6%
1 173
 
12.4%
5 102
 
7.3%
4 24
 
1.7%
9 20
 
1.4%
3 19
 
1.4%
6 16
 
1.1%
7 14
 
1.0%
8 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 87
25.0%
D 87
25.0%
F 87
25.0%
G 87
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
80.0%
Latin 348
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 715
51.4%
2 300
21.6%
1 173
 
12.4%
5 102
 
7.3%
4 24
 
1.7%
9 20
 
1.4%
3 19
 
1.4%
6 16
 
1.1%
7 14
 
1.0%
8 9
 
0.6%
Latin
ValueCountFrequency (%)
C 87
25.0%
D 87
25.0%
F 87
25.0%
G 87
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 715
41.1%
2 300
17.2%
1 173
 
9.9%
5 102
 
5.9%
C 87
 
5.0%
D 87
 
5.0%
F 87
 
5.0%
G 87
 
5.0%
4 24
 
1.4%
9 20
 
1.1%
Other values (4) 58
 
3.3%

인허가일자
Date

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum1994-05-16 00:00:00
Maximum2023-07-17 00:00:00
2024-05-11T01:15:19.124652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:15:19.635354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
1
71 
3
12 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 71
81.6%
3 12
 
13.8%
5 4
 
4.6%

Length

2024-05-11T01:15:20.188118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:20.739761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 71
81.6%
3 12
 
13.8%
5 4
 
4.6%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업/정상
71 
폐업
12 
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length4.7241379
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 71
81.6%
폐업 12
 
13.8%
제외/삭제/전출 4
 
4.6%

Length

2024-05-11T01:15:21.240637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:21.713574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 71
81.6%
폐업 12
 
13.8%
제외/삭제/전출 4
 
4.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
13
71 
3
12 
15
 
4

Length

Max length2
Median length2
Mean length1.862069
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 71
81.6%
3 12
 
13.8%
15 4
 
4.6%

Length

2024-05-11T01:15:22.175760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:22.611134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 71
81.6%
3 12
 
13.8%
15 4
 
4.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업중
71 
폐업
12 
전출
 
4

Length

Max length3
Median length3
Mean length2.816092
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 71
81.6%
폐업 12
 
13.8%
전출 4
 
4.6%

Length

2024-05-11T01:15:23.137318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:23.666184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 71
81.6%
폐업 12
 
13.8%
전출 4
 
4.6%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing72
Missing (%)82.8%
Memory size828.0 B
Minimum1998-10-02 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T01:15:24.145472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:15:24.760751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

전화번호
Text

MISSING 

Distinct55
Distinct (%)100.0%
Missing32
Missing (%)36.8%
Memory size828.0 B
2024-05-11T01:15:25.439962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.090909
Min length1

Characters and Unicode

Total characters555
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

Unique55 ?
Unique (%)100.0%

Sample

1st row400-4768
2nd row420-0424
3rd row401-3345
4th row425-6967
5th row412-8890
ValueCountFrequency (%)
400-4768 1
 
1.8%
025432097 1
 
1.8%
02-449-6683 1
 
1.8%
029659 1
 
1.8%
02-3272-9161 1
 
1.8%
02-415-5157 1
 
1.8%
02-582-5616 1
 
1.8%
02-407-0017 1
 
1.8%
02-598-3240 1
 
1.8%
02-3296-1888 1
 
1.8%
Other values (45) 45
81.8%
2024-05-11T01:15:27.097722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 91
16.4%
0 81
14.6%
- 70
12.6%
4 48
8.6%
5 48
8.6%
6 42
7.6%
3 41
7.4%
9 38
6.8%
1 38
6.8%
7 32
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 485
87.4%
Dash Punctuation 70
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 91
18.8%
0 81
16.7%
4 48
9.9%
5 48
9.9%
6 42
8.7%
3 41
8.5%
9 38
7.8%
1 38
7.8%
7 32
 
6.6%
8 26
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 555
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 91
16.4%
0 81
14.6%
- 70
12.6%
4 48
8.6%
5 48
8.6%
6 42
7.6%
3 41
7.4%
9 38
6.8%
1 38
6.8%
7 32
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 555
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 91
16.4%
0 81
14.6%
- 70
12.6%
4 48
8.6%
5 48
8.6%
6 42
7.6%
3 41
7.4%
9 38
6.8%
1 38
6.8%
7 32
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소재지우편번호
Text

MISSING 

Distinct28
Distinct (%)80.0%
Missing52
Missing (%)59.8%
Memory size828.0 B
2024-05-11T01:15:27.790077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0285714
Min length6

Characters and Unicode

Total characters211
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

Unique23 ?
Unique (%)65.7%

Sample

1st row138879
2nd row138818
3rd row138851
4th row138861
5th row138847
ValueCountFrequency (%)
138960 4
 
11.4%
138837 2
 
5.7%
138220 2
 
5.7%
138121 2
 
5.7%
138201 2
 
5.7%
138867 1
 
2.9%
138879 1
 
2.9%
138848 1
 
2.9%
138130 1
 
2.9%
138794 1
 
2.9%
Other values (18) 18
51.4%
2024-05-11T01:15:29.085281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 56
26.5%
1 52
24.6%
3 41
19.4%
0 16
 
7.6%
7 11
 
5.2%
2 10
 
4.7%
9 7
 
3.3%
6 7
 
3.3%
4 6
 
2.8%
5 4
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 56
26.7%
1 52
24.8%
3 41
19.5%
0 16
 
7.6%
7 11
 
5.2%
2 10
 
4.8%
9 7
 
3.3%
6 7
 
3.3%
4 6
 
2.9%
5 4
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 211
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 56
26.5%
1 52
24.6%
3 41
19.4%
0 16
 
7.6%
7 11
 
5.2%
2 10
 
4.7%
9 7
 
3.3%
6 7
 
3.3%
4 6
 
2.8%
5 4
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 211
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 56
26.5%
1 52
24.6%
3 41
19.4%
0 16
 
7.6%
7 11
 
5.2%
2 10
 
4.7%
9 7
 
3.3%
6 7
 
3.3%
4 6
 
2.8%
5 4
 
1.9%

지번주소
Text

MISSING 

Distinct82
Distinct (%)95.3%
Missing1
Missing (%)1.1%
Memory size828.0 B
2024-05-11T01:15:29.827066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length26.965116
Min length17

Characters and Unicode

Total characters2319
Distinct characters126
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

Unique78 ?
Unique (%)90.7%

Sample

1st row서울특별시 송파구 풍납동 ***-*번지 지하*층
2nd row서울특별시 송파구 마천동 ***-**번지
3rd row서울특별시 송파구 송파동 ***-**번지
4th row서울특별시 송파구 잠실동 ***-*번지 금성빌딩 *층
5th row서울특별시 송파구 석촌동 ***-*번지 ***호
ValueCountFrequency (%)
서울특별시 86
19.8%
송파구 86
19.8%
번지 57
13.1%
문정동 36
 
8.3%
27
 
6.2%
호 14
 
3.2%
가락동 9
 
2.1%
층 7
 
1.6%
잠실동 6
 
1.4%
송파동 6
 
1.4%
Other values (61) 100
23.0%
2024-05-11T01:15:31.262610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
403
17.4%
* 387
16.7%
파 111
 
4.8%
송 97
 
4.2%
동 96
 
4.1%
시 92
 
4.0%
서 86
 
3.7%
특 86
 
3.7%
별 86
 
3.7%
구 86
 
3.7%
Other values (116) 789
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1452
62.6%
Space Separator 403
 
17.4%
Other Punctuation 387
 
16.7%
Dash Punctuation 63
 
2.7%
Uppercase Letter 10
 
0.4%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 111
 
7.6%
송 97
 
6.7%
동 96
 
6.6%
시 92
 
6.3%
서 86
 
5.9%
특 86
 
5.9%
별 86
 
5.9%
구 86
 
5.9%
울 86
 
5.9%
지 72
 
5.0%
Other values (104) 554
38.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
T 2
20.0%
A 2
20.0%
G 1
 
10.0%
J 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
6 1
25.0%
4 1
25.0%
2 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
403
100.0%
Other Punctuation
ValueCountFrequency (%)
* 387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1452
62.6%
Common 857
37.0%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 111
 
7.6%
송 97
 
6.7%
동 96
 
6.6%
시 92
 
6.3%
서 86
 
5.9%
특 86
 
5.9%
별 86
 
5.9%
구 86
 
5.9%
울 86
 
5.9%
지 72
 
5.0%
Other values (104) 554
38.2%
Common
ValueCountFrequency (%)
403
47.0%
* 387
45.2%
- 63
 
7.4%
6 1
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
B 4
40.0%
T 2
20.0%
A 2
20.0%
G 1
 
10.0%
J 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1452
62.6%
ASCII 867
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
403
46.5%
* 387
44.6%
- 63
 
7.3%
B 4
 
0.5%
T 2
 
0.2%
A 2
 
0.2%
G 1
 
0.1%
J 1
 
0.1%
6 1
 
0.1%
4 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
파 111
 
7.6%
송 97
 
6.7%
동 96
 
6.6%
시 92
 
6.3%
서 86
 
5.9%
특 86
 
5.9%
별 86
 
5.9%
구 86
 
5.9%
울 86
 
5.9%
지 72
 
5.0%
Other values (104) 554
38.2%

도로명주소
Text

MISSING 

Distinct83
Distinct (%)96.5%
Missing1
Missing (%)1.1%
Memory size828.0 B
2024-05-11T01:15:31.938530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length37.162791
Min length23

Characters and Unicode

Total characters3196
Distinct characters161
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

Unique80 ?
Unique (%)93.0%

Sample

1st row서울특별시 송파구 토성로 ** (풍납동,지하*층)
2nd row서울특별시 송파구 마천로 *** (마천동)
3rd row서울특별시 송파구 백제고분로**길 ** (송파동)
4th row서울특별시 송파구 올림픽로 *** (잠실동,금성빌딩 *층)
5th row서울특별시 송파구 가락로**길 *-** (석촌동,***호)
ValueCountFrequency (%)
87
14.9%
서울특별시 86
14.7%
송파구 86
14.7%
문정동 36
 
6.2%
호 35
 
6.0%
층 21
 
3.6%
가락동 8
 
1.4%
송파대로 8
 
1.4%
백제고분로**길 6
 
1.0%
법원로*길 6
 
1.0%
Other values (127) 206
35.2%
2024-05-11T01:15:33.238673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
519
 
16.2%
* 509
 
15.9%
파 128
 
4.0%
송 111
 
3.5%
, 110
 
3.4%
동 109
 
3.4%
시 91
 
2.8%
로 89
 
2.8%
( 86
 
2.7%
) 86
 
2.7%
Other values (151) 1358
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1840
57.6%
Other Punctuation 619
 
19.4%
Space Separator 519
 
16.2%
Open Punctuation 86
 
2.7%
Close Punctuation 86
 
2.7%
Uppercase Letter 23
 
0.7%
Dash Punctuation 17
 
0.5%
Decimal Number 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 128
 
7.0%
송 111
 
6.0%
동 109
 
5.9%
시 91
 
4.9%
로 89
 
4.8%
서 86
 
4.7%
울 86
 
4.7%
별 86
 
4.7%
특 86
 
4.7%
구 86
 
4.7%
Other values (131) 882
47.9%
Uppercase Letter
ValueCountFrequency (%)
B 10
43.5%
A 4
 
17.4%
C 3
 
13.0%
T 2
 
8.7%
J 1
 
4.3%
G 1
 
4.3%
L 1
 
4.3%
O 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 1
16.7%
2 1
16.7%
8 1
16.7%
5 1
16.7%
0 1
16.7%
6 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 509
82.2%
, 110
 
17.8%
Space Separator
ValueCountFrequency (%)
519
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1840
57.6%
Common 1333
41.7%
Latin 23
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 128
 
7.0%
송 111
 
6.0%
동 109
 
5.9%
시 91
 
4.9%
로 89
 
4.8%
서 86
 
4.7%
울 86
 
4.7%
별 86
 
4.7%
특 86
 
4.7%
구 86
 
4.7%
Other values (131) 882
47.9%
Common
ValueCountFrequency (%)
519
38.9%
* 509
38.2%
, 110
 
8.3%
( 86
 
6.5%
) 86
 
6.5%
- 17
 
1.3%
1 1
 
0.1%
2 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
B 10
43.5%
A 4
 
17.4%
C 3
 
13.0%
T 2
 
8.7%
J 1
 
4.3%
G 1
 
4.3%
L 1
 
4.3%
O 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1840
57.6%
ASCII 1356
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
519
38.3%
* 509
37.5%
, 110
 
8.1%
( 86
 
6.3%
) 86
 
6.3%
- 17
 
1.3%
B 10
 
0.7%
A 4
 
0.3%
C 3
 
0.2%
T 2
 
0.1%
Other values (10) 10
 
0.7%
Hangul
ValueCountFrequency (%)
파 128
 
7.0%
송 111
 
6.0%
동 109
 
5.9%
시 91
 
4.9%
로 89
 
4.8%
서 86
 
4.7%
울 86
 
4.7%
별 86
 
4.7%
특 86
 
4.7%
구 86
 
4.7%
Other values (131) 882
47.9%

도로명우편번호
Text

MISSING 

Distinct35
Distinct (%)53.8%
Missing22
Missing (%)25.3%
Memory size828.0 B
2024-05-11T01:15:33.889770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2307692
Min length5

Characters and Unicode

Total characters340
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

Unique27 ?
Unique (%)41.5%

Sample

1st row138770
2nd row138-180
3rd row138780
4th row138835
5th row138833
ValueCountFrequency (%)
05855 9
 
13.8%
05836 9
 
13.8%
05854 7
 
10.8%
138960 4
 
6.2%
05703 3
 
4.6%
05807 2
 
3.1%
05740 2
 
3.1%
05671 2
 
3.1%
05606 1
 
1.5%
05510 1
 
1.5%
Other values (25) 25
38.5%
2024-05-11T01:15:34.821900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 82
24.1%
0 73
21.5%
8 55
16.2%
3 35
10.3%
1 22
 
6.5%
7 22
 
6.5%
6 20
 
5.9%
4 16
 
4.7%
9 9
 
2.6%
2 5
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 339
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 82
24.2%
0 73
21.5%
8 55
16.2%
3 35
10.3%
1 22
 
6.5%
7 22
 
6.5%
6 20
 
5.9%
4 16
 
4.7%
9 9
 
2.7%
2 5
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 82
24.1%
0 73
21.5%
8 55
16.2%
3 35
10.3%
1 22
 
6.5%
7 22
 
6.5%
6 20
 
5.9%
4 16
 
4.7%
9 9
 
2.6%
2 5
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 82
24.1%
0 73
21.5%
8 55
16.2%
3 35
10.3%
1 22
 
6.5%
7 22
 
6.5%
6 20
 
5.9%
4 16
 
4.7%
9 9
 
2.6%
2 5
 
1.5%

사업장명
Text

Distinct86
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T01:15:35.383804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length14
Mean length7.3793103
Min length2

Characters and Unicode

Total characters642
Distinct characters190
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)97.7%

Sample

1st row온누리인쇄사
2nd row명문인쇄소
3rd row대상기획
4th row길기획
5th row오구인쇄소
ValueCountFrequency (%)
주식회사 18
 
15.7%
디자인 2
 
1.7%
aj네트웍스 2
 
1.7%
엠칼라프린팅 1
 
0.9%
진프린트 1
 
0.9%
에스유디자인 1
 
0.9%
베낌터 1
 
0.9%
금새컴퍼니 1
 
0.9%
한국데이터팜 1
 
0.9%
주 1
 
0.9%
Other values (86) 86
74.8%
2024-05-11T01:15:36.411480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 37
 
5.8%
28
 
4.4%
인 27
 
4.2%
사 26
 
4.0%
) 21
 
3.3%
( 21
 
3.3%
식 19
 
3.0%
회 18
 
2.8%
스 15
 
2.3%
쇄 13
 
2.0%
Other values (180) 417
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
82.1%
Space Separator 28
 
4.4%
Close Punctuation 21
 
3.3%
Open Punctuation 21
 
3.3%
Lowercase Letter 21
 
3.3%
Uppercase Letter 16
 
2.5%
Other Punctuation 4
 
0.6%
Other Symbol 2
 
0.3%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 37
 
7.0%
인 27
 
5.1%
사 26
 
4.9%
식 19
 
3.6%
회 18
 
3.4%
스 15
 
2.8%
쇄 13
 
2.5%
디 13
 
2.5%
자 11
 
2.1%
이 11
 
2.1%
Other values (147) 337
63.9%
Lowercase Letter
ValueCountFrequency (%)
a 3
14.3%
l 3
14.3%
o 3
14.3%
r 2
9.5%
t 1
 
4.8%
d 1
 
4.8%
h 1
 
4.8%
c 1
 
4.8%
m 1
 
4.8%
i 1
 
4.8%
Other values (4) 4
19.0%
Uppercase Letter
ValueCountFrequency (%)
J 3
18.8%
N 2
12.5%
A 2
12.5%
P 2
12.5%
I 1
 
6.2%
G 1
 
6.2%
C 1
 
6.2%
U 1
 
6.2%
L 1
 
6.2%
S 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 529
82.4%
Common 76
 
11.8%
Latin 37
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 37
 
7.0%
인 27
 
5.1%
사 26
 
4.9%
식 19
 
3.6%
회 18
 
3.4%
스 15
 
2.8%
쇄 13
 
2.5%
디 13
 
2.5%
자 11
 
2.1%
이 11
 
2.1%
Other values (148) 339
64.1%
Latin
ValueCountFrequency (%)
J 3
 
8.1%
a 3
 
8.1%
l 3
 
8.1%
o 3
 
8.1%
N 2
 
5.4%
r 2
 
5.4%
A 2
 
5.4%
P 2
 
5.4%
I 1
 
2.7%
G 1
 
2.7%
Other values (15) 15
40.5%
Common
ValueCountFrequency (%)
28
36.8%
) 21
27.6%
( 21
27.6%
. 3
 
3.9%
3 1
 
1.3%
5 1
 
1.3%
, 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
82.1%
ASCII 113
 
17.6%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 37
 
7.0%
인 27
 
5.1%
사 26
 
4.9%
식 19
 
3.6%
회 18
 
3.4%
스 15
 
2.8%
쇄 13
 
2.5%
디 13
 
2.5%
자 11
 
2.1%
이 11
 
2.1%
Other values (147) 337
63.9%
ASCII
ValueCountFrequency (%)
28
24.8%
) 21
18.6%
( 21
18.6%
J 3
 
2.7%
a 3
 
2.7%
. 3
 
2.7%
l 3
 
2.7%
o 3
 
2.7%
N 2
 
1.8%
r 2
 
1.8%
Other values (22) 24
21.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

Distinct83
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2003-02-17 15:40:06
Maximum2024-04-18 10:56:45
2024-05-11T01:15:36.767143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:15:37.201146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
I
65 
U
21 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 65
74.7%
U 21
 
24.1%
D 1
 
1.1%

Length

2024-05-11T01:15:37.622853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:37.948587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 65
74.7%
u 21
 
24.1%
d 1
 
1.1%

데이터갱신일자
Date

Distinct38
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:09:00
2024-05-11T01:15:38.292749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:15:38.740346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)82.7%
Missing12
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean210369.88
Minimum206726.5
Maximum213786.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-05-11T01:15:39.180961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206726.5
5-th percentile207346.93
Q1209834.85
median210627
Q3211019.55
95-th percentile213144.89
Maximum213786.18
Range7059.6777
Interquartile range (IQR)1184.6977

Descriptive statistics

Standard deviation1493.1639
Coefficient of variation (CV)0.0070978027
Kurtosis0.68514492
Mean210369.88
Median Absolute Deviation (MAD)429.02604
Skewness-0.28208912
Sum15777741
Variance2229538.4
MonotonicityNot monotonic
2024-05-11T01:15:39.568955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210627.0 3
 
3.4%
210749.0 3
 
3.4%
211053.119518 3
 
3.4%
208972.490841898 2
 
2.3%
212051.942382699 2
 
2.3%
210476.0 2
 
2.3%
211017.332752457 2
 
2.3%
210939.228362408 2
 
2.3%
207903.789644245 2
 
2.3%
210986.460698452 2
 
2.3%
Other values (52) 52
59.8%
(Missing) 12
 
13.8%
ValueCountFrequency (%)
206726.499021996 1
1.1%
207139.428367102 1
1.1%
207204.149903202 1
1.1%
207263.474567538 1
1.1%
207382.702150481 1
1.1%
207850.736931203 1
1.1%
207903.789644245 2
2.3%
208083.24370318 1
1.1%
208317.419891103 1
1.1%
208780.216524499 1
1.1%
ValueCountFrequency (%)
213786.176760741 1
1.1%
213718.55217106 1
1.1%
213622.68478911 1
1.1%
213542.282745953 1
1.1%
212974.584758158 1
1.1%
212051.942382699 2
2.3%
211806.721282913 1
1.1%
211679.526814566 1
1.1%
211591.053808857 1
1.1%
211453.050926808 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)81.3%
Missing12
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean444086.07
Minimum441725.29
Maximum448364.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-05-11T01:15:39.986267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile442026.99
Q1442612.01
median444168.21
Q3444967.4
95-th percentile447359.39
Maximum448364.72
Range6639.4299
Interquartile range (IQR)2355.3897

Descriptive statistics

Standard deviation1549.6594
Coefficient of variation (CV)0.0034895473
Kurtosis0.20297047
Mean444086.07
Median Absolute Deviation (MAD)1192.8555
Skewness0.64730761
Sum33306456
Variance2401444.1
MonotonicityNot monotonic
2024-05-11T01:15:40.381995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442875.0 3
 
3.4%
442560.0 3
 
3.4%
442026.988783 3
 
3.4%
442586.0 2
 
2.3%
441725.293491662 2
 
2.3%
442377.0 2
 
2.3%
446087.944327019 2
 
2.3%
442612.007853928 2
 
2.3%
444199.373282055 2
 
2.3%
444731.4161902 2
 
2.3%
Other values (51) 52
59.8%
(Missing) 12
 
13.8%
ValueCountFrequency (%)
441725.293491662 2
2.3%
441730.920486073 1
 
1.1%
442026.988783 3
3.4%
442314.5892384 1
 
1.1%
442352.745053247 1
 
1.1%
442377.0 2
2.3%
442448.0 1
 
1.1%
442553.0 1
 
1.1%
442560.0 3
3.4%
442574.0 1
 
1.1%
ValueCountFrequency (%)
448364.723368836 1
1.1%
447953.389691408 1
1.1%
447772.223360781 1
1.1%
447453.625137238 1
1.1%
447318.999887517 1
1.1%
446087.944327019 2
2.3%
445894.98085039 1
1.1%
445832.661680187 1
1.1%
445621.413941303 1
1.1%
445488.984020696 1
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
인쇄사
69 
<NA>
18 

Length

Max length4
Median length3
Mean length3.2068966
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 69
79.3%
<NA> 18
 
20.7%

Length

2024-05-11T01:15:40.846243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:41.275726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 69
79.3%
na 18
 
20.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
출판인쇄업
69 
<NA>
18 

Length

Max length5
Median length5
Mean length4.7931034
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 69
79.3%
<NA> 18
 
20.7%

Length

2024-05-11T01:15:41.652782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:41.936241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 69
79.3%
na 18
 
20.7%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
80 
0
 
7

Length

Max length4
Median length4
Mean length3.7586207
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
92.0%
0 7
 
8.0%

Length

2024-05-11T01:15:42.307910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:42.628660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
92.0%
0 7
 
8.0%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing86
Missing (%)98.9%
Memory size828.0 B
2024-05-11T01:15:42.829493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T01:15:43.576614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

시설면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
77 
0
9 
66
 
1

Length

Max length4
Median length4
Mean length3.6666667
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 77
88.5%
0 9
 
10.3%
66 1
 
1.1%

Length

2024-05-11T01:15:44.072132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:44.544100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
88.5%
0 9
 
10.3%
66 1
 
1.1%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
80 
0
 
7

Length

Max length4
Median length4
Mean length3.7586207
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
92.0%
0 7
 
8.0%

Length

2024-05-11T01:15:45.174215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:45.915064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
92.0%
0 7
 
8.0%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
80 
0
 
7

Length

Max length4
Median length4
Mean length3.7586207
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
92.0%
0 7
 
8.0%

Length

2024-05-11T01:15:46.503636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:47.027326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
92.0%
0 7
 
8.0%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing85
Missing (%)97.7%
Memory size828.0 B
2024-05-11T01:15:47.628580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length4.5
Min length3

Characters and Unicode

Total characters9
Distinct characters9
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 (%)100.0%

Sample

1st row사무실
2nd row근린생활시설
ValueCountFrequency (%)
사무실 1
50.0%
근린생활시설 1
50.0%
2024-05-11T01:15:49.264516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1
11.1%
무 1
11.1%
실 1
11.1%
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1
11.1%
무 1
11.1%
실 1
11.1%
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1
11.1%
무 1
11.1%
실 1
11.1%
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1
11.1%
무 1
11.1%
실 1
11.1%
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T01:15:49.838427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:50.291440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T01:15:50.750390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:51.217861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T01:15:51.663178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:52.084325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T01:15:52.582723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:52.938046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T01:15:53.362628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:53.873569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing86
Missing (%)98.9%
Memory size828.0 B
2024-05-11T01:15:54.242856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row준주거지역
ValueCountFrequency (%)
준주거지역 1
100.0%
2024-05-11T01:15:55.184156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
준 1
20.0%
주 1
20.0%
거 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
준 1
20.0%
주 1
20.0%
거 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
준 1
20.0%
주 1
20.0%
거 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
준 1
20.0%
주 1
20.0%
거 1
20.0%
지 1
20.0%
역 1
20.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFG125200199400000119940516<NA>3폐업3폐업19990821<NA><NA><NA><NA><NA>138879서울특별시 송파구 풍납동 ***-*번지 지하*층서울특별시 송파구 토성로 ** (풍납동,지하*층)<NA>온누리인쇄사2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>210393.799404447318.999888인쇄사출판인쇄업<NA><NA><NA>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>
13230000CDFG125200199800000119980921<NA>3폐업3폐업20140120<NA><NA><NA><NA><NA>138818서울특별시 송파구 마천동 ***-**번지서울특별시 송파구 마천로 *** (마천동)<NA>명문인쇄소2014-01-27 11:31:04I2018-08-31 23:59:59.0<NA>212974.584758443924.491741인쇄사출판인쇄업0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFG125200199800000219980928<NA>3폐업3폐업19981002<NA><NA><NA><NA><NA>138851서울특별시 송파구 송파동 ***-**번지서울특별시 송파구 백제고분로**길 ** (송파동)<NA>대상기획2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>209711.825105444764.767949인쇄사출판인쇄업0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFG125200199900000219990617<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138861서울특별시 송파구 잠실동 ***-*번지 금성빌딩 *층서울특별시 송파구 올림픽로 *** (잠실동,금성빌딩 *층)<NA>길기획2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>207204.149903445472.814949인쇄사출판인쇄업0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43230000CDFG125200199900000319991022<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138847서울특별시 송파구 석촌동 ***-*번지 ***호서울특별시 송파구 가락로**길 *-** (석촌동,***호)<NA>오구인쇄소2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>209588.877485444335.22373인쇄사출판인쇄업0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFG125200200100000120010407<NA>3폐업3폐업20010810<NA><NA><NA><NA><NA>138803서울특별시 송파구 가락동 **-*번지 올림피아오피스텔서울특별시 송파구 송파대로**길 ** (가락동,올림피아오피스텔)<NA>송파현대인쇄소2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>210658.051559443620.612078인쇄사출판인쇄업<NA><NA><NA>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>
63230000CDFG125200200200000120020426<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138837서울특별시 송파구 삼전동 **-*번지 금영빌딩비*서울특별시 송파구 백제고분로**길 ** (삼전동,금영빌딩비*)<NA>영동기획인쇄2006-05-19 18:12:45I2018-08-31 23:59:59.0<NA>207903.789644444731.41619인쇄사출판인쇄업0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73230000CDFG125200200400000120040206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138837서울특별시 송파구 삼전동 **-*번지서울특별시 송파구 백제고분로**길 ** (삼전동)<NA>디자인 루트2004-02-06 17:00:20I2018-08-31 23:59:59.0<NA>207903.789644444731.41619인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFG125200200400000220040407<NA>1영업/정상13영업중<NA><NA><NA><NA>400-4768<NA>138801서울특별시 송파구 가락동 **-*번지서울특별시 송파구 양재대로**길 ** (가락동)<NA>현종합인쇄2004-04-07 15:36:16I2018-08-31 23:59:59.0<NA>210906.757829444116.1204인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93230000CDFG125200200400000320040423<NA>1영업/정상13영업중<NA><NA><NA><NA>420-0424<NA>138220서울특별시 송파구 잠실동 **번지 아시아선수촌상가*층 ***호서울특별시 송파구 올림픽로*길 **, ***호 (잠실동,아시아선수촌상가*층)<NA>(주)제일문화사2004-04-23 15:36:47I2018-08-31 23:59:59.0<NA>206726.499022445188.639268인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
773230000CDFG125200202200000120220209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 문정현대지식산업센터*-*서울특별시 송파구 법원로**길 *, 문정현대지식산업센터*-* 씨동 제비***호 (문정동)05836주식회사 스피드카피2022-02-09 09:09:06I2022-02-11 00:22:38.0<NA>210476.0442586.0인쇄사출판인쇄업0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
783230000CDFG12520020220000022022-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA>0263639933<NA><NA>서울특별시 송파구 문정동 ***-* AJ빌딩서울특별시 송파구 정의로*길 *, AJ빌딩 (문정동)05836AJ네트웍스 주식회사2023-05-18 13:55:03D2022-12-04 22:00:00.0<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>
793230000CDFG125200202200000320220503<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 에이치비지니스파크서울특별시 송파구 법원로*길 **, 에이치비지니스파크 *층 C-***호 (문정동)05836㈜피디피 코리아2022-05-03 17:24:02I2021-12-05 00:05:00.0<NA>210289.0442448.0<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>
803230000CDFG125200202200000420220525<NA>1영업/정상13영업중<NA><NA><NA><NA>02-407-8026<NA><NA>서울특별시 송파구 삼전동 * 레이크시티서울특별시 송파구 삼전로*길 *, *층 (삼전동, 레이크시티)05606㈜에셈컴퍼니2022-05-25 17:56:42I2021-12-04 22:07:00.0<NA>207850.736931444758.345078<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813230000CDFG12520020220000052022-06-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-413-7665<NA><NA>서울특별시 송파구 오금동 **-**서울특별시 송파구 마천로 ***, *층 (오금동)05726주식회사 픽셀라인2024-04-18 10:56:45U2023-12-03 22:00:00.0<NA>211806.721283444730.722551<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823230000CDFG125200202200000620110120<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2273-5436<NA><NA>서울특별시 송파구 가락동 ** 송파성원쌍떼빌서울특별시 송파구 송파대로**길 **, ***동 ***호 (가락동, 송파성원쌍떼빌)05718광진문화2022-12-02 18:16:06I2021-11-02 00:05:00.0<NA>210580.683291443657.712046<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833230000CDFG125200202200000720160614<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 642-3 문정에스케이브이원지엘메트로시티서울특별시 송파구 법원로 128, 문정에스케이브이원지엘메트로시티 B동 506호 (문정동)05854주식회사 에스지지2022-12-08 17:51:12I2021-11-01 23:00:00.0<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>
843230000CDFG125200202300000120230117<NA>1영업/정상13영업중<NA><NA><NA><NA>02-475-2826<NA><NA>서울특별시 송파구 풍납동 ***-*서울특별시 송파구 올림픽로 ***, *층 (풍납동)05520엠칼라프린팅2023-01-17 11:14:00I2022-11-30 23:09:00.0<NA>210654.85797447953.389691<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853230000CDFG12520020230000022023-07-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-*서울특별시 송파구 오금로**길 **-* (가락동)05703맞춤인쇄 디자인2023-07-17 11:41:56I2022-12-06 23:09:00.0<NA>210939.228362444368.711174<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863230000CDFG12520020240000012011-07-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3443-9745<NA><NA>서울특별시 송파구 문정동 *** 가든파이브웍스 A동 ****호서울특별시 송파구 충민로 **, 가든파이브웍스 A동 **층 ****호 (문정동)05839(주)지오마케팅2024-03-13 14:58:47I2023-12-02 23:06:00.0<NA>210780.12618441730.920486<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>